fuzzy_tugas.ipynb

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  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyP7QZB6+5uYnuBNldRTABVj",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/KUUROO17/FUZZY/blob/main/fuzzy_tugas.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "F_yUe-srt63I"
      },
      "outputs": [],
      "source": [
        "!pip install scikit-fuzzy\n",
        "!pip install pandas"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "id": "i69jYatjwNTd",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "c4fcb803-145c-4c19-8b06-cd3a2c903951"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# import skfuzzy.control as ctrl\n",
        "import numpy as np\n",
        "import skfuzzy as fz\n",
        "import matplotlib.pyplot as plt\n",
        "import pandas as pd"
      ],
      "metadata": {
        "id": "9vcn0Gj2vHr0"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def variableFuzzy():\n",
        "        # Nilai Semesta Variabel\n",
        "        pop = np.arange(0, 1700000000, 1000)\n",
        "        dens = np.arange(0, 23200, 0.01)\n",
        "        grw = np.arange(0, 2.5, 0.01)\n",
        "        per = np.arange(0, 20, 0.01)\n",
        "        area = np.arange(0, 20000000, 30)\n",
        "        pokok = np.arange(0, 10000, 100)\n",
        "\n",
        "\n",
        "        # Variabel keanggotaan Low, Mid, High\n",
        "        Pop_L = fz.trapmf(pop, [0, 0, 10000000, 34000000])\n",
        "        Pop_M = fz.trimf(pop, [10000000, 34000000, 1400000000])\n",
        "        Pop_H = fz.trapmf(pop, [34000000, 1400000000, 1700000000, 1700000000])\n",
        "\n",
        "        Den_L = fz.trapmf(dens, [0, 0, 0.2, 452])\n",
        "        Den_M = fz.trimf(dens, [0.2, 452, 23000])\n",
        "        Den_H = fz.trapmf(dens, [452, 23000, 23500, 23500])\n",
        "\n",
        "        grw_L = fz.trapmf(grw, [0, 0, 0.01, 1.008])\n",
        "        grw_M = fz.trimf(grw, [0.01, 1.008, 1.8])\n",
        "        grw_H = fz.trapmf(grw, [1.008, 1.8, 2, 2])\n",
        "\n",
        "        per_L = fz.trapmf(per, [0, 0, 0.1, 6])\n",
        "        per_M = fz.trimf(per, [0.1, 6, 17])\n",
        "        per_H = fz.trapmf(per, [6, 17, 19, 19])\n",
        "\n",
        "        area_L = fz.trapmf(area, [0, 0, 2000, 5000])\n",
        "        area_M = fz.trimf(area, [50, 581000, 1700000])\n",
        "        area_H = fz.trapmf(area, [581000, 1700000, 10000000, 10000000])\n",
        "\n",
        "        # Output\n",
        "        pokok_L = fz.trapmf(pokok, [0, 0, 20000, 80000])\n",
        "        pokok_M = fz.trimf(pokok, [2000, 5000, 8000])\n",
        "        pokok_H = fz.trapmf(pokok, [5000, 8000, 12000, 12000])\n",
        "\n",
        "        variable = {\n",
        "            'density':[\n",
        "                dens,Den_L,Den_M,Den_H\n",
        "            ],\n",
        "            'growth rate':[\n",
        "                grw, grw_L, grw_M, grw_H\n",
        "            ],\n",
        "            'area':[\n",
        "                area, area_L, area_M, area_H\n",
        "            ],\n",
        "            'per':[\n",
        "                per, per_L, per_M, per_H\n",
        "            ],\n",
        "            'population':[\n",
        "                pop, Pop_L, Pop_M, Pop_H\n",
        "            ],\n",
        "            'pokok':[\n",
        "                pokok, pokok_L, pokok_M, pokok_H\n",
        "            ]\n",
        "        }\n",
        "\n",
        "\n",
        "        # ====== Plot Fungsi Keanggotaan ======\n",
        "        print(\"=========== ############################### PLOT ANTASENDENT DAN CONSEQUENT YANG DIGUNAKAN #######################################################  =============\")\n",
        "        print(\"  \")\n",
        "        fig, (ax0, ax1, ax2, ax3, ax4, ax5) = plt.subplots(nrows=6, figsize=(10, 10))\n",
        "        ax0.plot(dens, Den_L, 'g', label='low')\n",
        "        ax0.plot(dens, Den_M, 'b', label='medium')\n",
        "        ax0.plot(dens, Den_H, 'r', label='high')\n",
        "        ax0.set_title('Density')\n",
        "        ax0.legend()\n",
        "        \n",
        "        ax1.plot(grw, grw_L, 'g', label='low')\n",
        "        ax1.plot(grw, grw_M, 'b', label='medium')\n",
        "        ax1.plot(grw, grw_H, 'r', label='high')\n",
        "        ax1.set_title('Growth Rate')\n",
        "        ax1.legend()\n",
        "\n",
        "        ax2.plot(per, per_L, 'g', label='low')\n",
        "        ax2.plot(per, per_M, 'b', label='medium')\n",
        "        ax2.plot(per, per_H, 'r', label='high')\n",
        "        ax2.set_title('World Population Percentage')\n",
        "        ax2.legend()\n",
        "\n",
        "        ax3.plot(pop, Pop_L, 'g', label='low')\n",
        "        ax3.plot(pop, Pop_M, 'b', label='medium')\n",
        "        ax3.plot(pop, Pop_H, 'r', label='high')\n",
        "        ax3.set_title('Population')\n",
        "        ax3.legend()\n",
        "\n",
        "        ax4.plot(area, area_L, 'g', label='tidak luas')\n",
        "        ax4.plot(area, area_M, 'b', label='luas')\n",
        "        ax4.plot(area, area_H, 'r', label='sangat luas')\n",
        "        ax4.set_title('area KM2')\n",
        "        ax4.legend()\n",
        "\n",
        "        ax5.plot(pokok, pokok_L, 'g', label='sedikit')\n",
        "        ax5.plot(pokok, pokok_M, 'b', label='banyak')\n",
        "        ax5.plot(pokok, pokok_H, 'r', label='sangat banyak')\n",
        "        ax5.set_title('bahan pokok')\n",
        "        ax5.legend()\n",
        "\n",
        "        plt.tight_layout()\n",
        "        plt.legend()\n",
        "        plt.show()\n",
        "        print()\n",
        "\n",
        "        return variable"
      ],
      "metadata": {
        "id": "LovkdlybvLzu"
      },
      "execution_count": 21,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def Fuzzyfikasi(data, variable):\n",
        "        # Nilai X\n",
        "        # Contoh data Indonesia\n",
        "        # den = 144.6529\n",
        "        # grw = 1.0064\n",
        "        # pop = 275501339\n",
        "        # area = 1904569\n",
        "        # per = 3.45\n",
        "        den = data['density']\n",
        "        grw = data['grw']\n",
        "        pop = data['population']\n",
        "        area = data['area']\n",
        "        per = data['per']\n",
        "\n",
        "        # ====== Fuzzyfikasi/Fungsi Keanggotaan =======\n",
        "        uDen_L = fz.interp_membership(variable['density'][0], variable['density'][1], den)\n",
        "        uDen_M = fz.interp_membership(variable['density'][0], variable['density'][2], den)\n",
        "        uDen_H = fz.interp_membership(variable['density'][0], variable['density'][3], den)\n",
        "\n",
        "        ugrw_L = fz.interp_membership(variable['growth rate'][0], variable['growth rate'][1], grw)\n",
        "        ugrw_M = fz.interp_membership(variable['growth rate'][0], variable['growth rate'][2], grw)\n",
        "        ugrw_H = fz.interp_membership(variable['growth rate'][0], variable['growth rate'][3], grw)\n",
        "\n",
        "        uPop_L = fz.interp_membership(variable['population'][0], variable['population'][1], pop)\n",
        "        uPop_M = fz.interp_membership(variable['population'][0], variable['population'][2], pop)\n",
        "        uPop_H = fz.interp_membership(variable['population'][0], variable['population'][3], pop)\n",
        "\n",
        "        uarea_L = fz.interp_membership(variable['area'][0], variable['area'][1], area)\n",
        "        uarea_M = fz.interp_membership(variable['area'][0], variable['area'][2], area)\n",
        "        uarea_H = fz.interp_membership(variable['area'][0], variable['area'][3], area)\n",
        "\n",
        "        uper_L = fz.interp_membership(variable['per'][0], variable['per'][1], per)\n",
        "        uper_M = fz.interp_membership(variable['per'][0], variable['per'][2], per)\n",
        "        uper_H = fz.interp_membership(variable['per'][0], variable['per'][3], per)\n",
        "\n",
        "        print(\"======== ################################## FUZZIFIKASI/FUNGSI KEANGGOTAAN ########################################## ========\")\n",
        "        print(\" \")\n",
        "        print(\"Nilai Density: \", uDen_L,\"|\", uDen_M,\"|\", uDen_H,)\n",
        "        print(\"Nilai Growth Rate: \", ugrw_L,\"|\", ugrw_M,\"|\", ugrw_H,)\n",
        "        print(\"Nilai Populasi: \", uPop_L,\"|\", uPop_M,\"|\", uPop_H,)\n",
        "        print(\"Nilai area KM2: \", uarea_L,\"|\", uarea_M,\"|\", uarea_H,)\n",
        "        print(\"Nilai World Population Percentage: \", uper_L,\"|\", uper_M,\"|\", uper_H,)\n",
        "        print()\n",
        "        \n",
        "\n",
        "        # Rule Based\n",
        "        upokok_L = max(min(uPop_L, uDen_L), min(uPop_L, ugrw_L))\n",
        "        upokok_M = max(min(uPop_H, uarea_M), min(uPop_M, ugrw_L, uDen_M), min(uPop_M, uper_L), min(uPop_H, uarea_H, uDen_H))\n",
        "        upokok_H = max(uPop_H, min(uPop_H, uarea_L, uper_M))\n",
        "        pokok0 = np.zeros_like(variable['pokok'][0])\n",
        "\n",
        "        print(\"====== ############################################  INFERENCE FUZZY #####################################################======\")\n",
        "        print(\" \")\n",
        "        print(\"Nilai Himpunan bahan pokok: \", upokok_L,\"|\", upokok_M,\"|\", upokok_H,)\n",
        "\n",
        "        # ====== Pemotongan Kurva ======\n",
        "        actvpokok_L = np.fmin(variable['pokok'][1], upokok_L)\n",
        "        actvpokok_M = np.fmin(variable['pokok'][2], upokok_M)\n",
        "        actvpokok_H = np.fmin(variable['pokok'][3], upokok_H)\n",
        "\n",
        "        agregated = np.fmax(actvpokok_L, np.fmax(actvpokok_M, actvpokok_H))\n",
        "\n",
        "        pokok = fz.defuzz(variable['pokok'][0], agregated, 'centroid')\n",
        "        pokok_actv = fz.interp_membership(variable['pokok'][0], agregated, pokok)\n",
        "        print(\"\\n\")\n",
        "        print(\"Nilai Jumlah bahan pokok = \",pokok)\n",
        "        print(\"Nilai Aktifasi Himpunan bahan pokok = \",pokok_actv)\n",
        "        \n",
        "        # Plot Agregated\n",
        "        plt.plot(agregated)\n",
        "        plt.show\n",
        "\n",
        "        # Plot Hasil Himpunan Data dengan Centroid\n",
        "        fig, ax0 = plt.subplots(figsize=(8,3))\n",
        "        ax0.plot(variable['pokok'][0], variable['pokok'][1], 'b', linewidth=1.5, linestyle='--')\n",
        "        ax0.plot(variable['pokok'][0], variable['pokok'][2], 'g', linewidth=1.5, linestyle='--')\n",
        "        ax0.plot(variable['pokok'][0], variable['pokok'][3], 'r', linewidth=1.5, linestyle='--')\n",
        "        ax0.fill_between(variable['pokok'][0], pokok0, agregated, facecolor='Orange', alpha=0.7)\n",
        "        ax0.plot([pokok, pokok], [0, pokok_actv], 'k', linewidth=1.5, alpha=0.9)\n",
        "        ax0.set_title(f\"Agregasi Fungsi Keanggotaan Negara {data['country']}\")\n",
        "        plt.tight_layout()\n",
        "\n",
        "        plt.show()"
      ],
      "metadata": {
        "id": "JgT5Zn1JvVWf"
      },
      "execution_count": 29,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def getColumn(column):\n",
        "        path = 'drive/MyDrive//world_population.csv'\n",
        "        dataset = pd.read_csv(path)\n",
        "\n",
        "        data = []\n",
        "        for i in dataset[column]:\n",
        "            data.append(i)\n",
        "        return data"
      ],
      "metadata": {
        "id": "tNvWdK5kvcDe"
      },
      "execution_count": 17,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "if __name__==\"__main__\":\n",
        "    columns = ['Country', '2022 Population', 'Area (km²)', 'Density (per km²)', 'Growth Rate', 'World Population Percentage']\n",
        "    result = {}\n",
        "    for column in columns:\n",
        "        result[f'{column}'] = getColumn(column)\n",
        "\n",
        "    variable = variableFuzzy()\n",
        "    data = {}\n",
        "    # len(result['Country'])\n",
        "    for i in range(7):\n",
        "        data['country'] = result['Country'][i]\n",
        "        data['population'] = result['2022 Population'][i]\n",
        "        data['area'] = result['Area (km²)'][i]\n",
        "        data['density'] = result['Density (per km²)'][i]\n",
        "        data['grw'] = result['Growth Rate'][i]\n",
        "        data['per'] = result['World Population Percentage'][i]\n",
        "\n",
        "        print(\"===================================================================================================================\")\n",
        "        print(\"===================================================================================================================\")\n",
        "        print(f\"NEGARA ke {i} : {data['country']}\")\n",
        "\n",
        "        print(\"Populasi = \", data['population'])\n",
        "        print(\"Area = \", data['area'])\n",
        "        print(\"Density = \", data['density'])\n",
        "        print(\"Growth Rate = \", data['grw'])\n",
        "        print(\"World Pop Percentage = \", data['per'])\n",
        "        print(\"\\n\\n\")\n",
        "        Fuzzyfikasi(data, variable)\n",
        "\n",
        "        print(\"\\n\\n\\n\")\n",
        "        data = {}\n",
        "        # break"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "j19AhdJevfJ_",
        "outputId": "5e384db4-8b64-43d9-ee35-c0e00ea94938"
      },
      "execution_count": 30,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "=========== ############################### PLOT ANTASENDENT DAN CONSEQUENT YANG DIGUNAKAN #######################################################  =============\n",
            "  \n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x720 with 6 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "===================================================================================================================\n",
            "===================================================================================================================\n",
            "NEGARA ke 0 : China\n",
            "Populasi =  1425887337\n",
            "Area =  9706961\n",
            "Density =  146.8933\n",
            "Growth Rate =  1.0\n",
            "World Pop Percentage =  17.88\n",
            "\n",
            "\n",
            "\n",
            "======== ################################## FUZZIFIKASI/FUNGSI KEANGGOTAAN ########################################## ========\n",
            " \n",
            "Nilai Density:  0.675313634351483 | 0.3246863656485171 | 0.0\n",
            "Nilai Growth Rate:  0.008016032064128263 | 0.9919839679358717 | 0.0\n",
            "Nilai Populasi:  0.0 | 0.0 | 1.0\n",
            "Nilai area KM2:  0.0 | 0.0 | 1.0\n",
            "Nilai World Population Percentage:  0.0 | 0.0 | 1.0\n",
            "\n",
            "====== ############################################  INFERENCE FUZZY #####################################################======\n",
            " \n",
            "Nilai Himpunan bahan pokok:  0.0 | 0.0 | 1.0\n",
            "\n",
            "\n",
            "Nilai Jumlah bahan pokok =  8089.705882352941\n",
            "Nilai Aktifasi Himpunan bahan pokok =  1.0\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAD4CAYAAAD8Zh1EAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAVo0lEQVR4nO3df7CVhX3n8fdXkETUilYkEcQLKZrQbvyRK9WkKolJR00KmenWQLcb01FRp3az28zu2OmO7bp/ZbvT7nZqAYPZkMxWYtNOvc2y67QGrmTVCCbqqojhp4A/oIJERQW83/3jnIsneOGey33uec55zvs1c8d7nvNwz/fhOX547nPO+TyRmUiSOt8JZQ8gSSqGgS5JFWGgS1JFGOiSVBEGuiRVxPiyHvjMM8/Mnp6esh5ekjrS448//s+ZOXmo+0oL9J6eHtatW1fWw0tSR4qIbUe7z1MuklQRBrokVYSBLkkVYaBLUkUY6JJUEcMGekR8MyJ2RcTTR7k/IuIvImJjRDwVERcXP6YkaTjNHKF/C7j6GPdfA8yqfy0CFo9+LEnSSA37PvTMfCgieo6xynzg21nr4X00IiZFxIcz86WCZpRUcS+8up+//fEOuqXO+6qPTeGCcyYV/nOL+GDRVGB7w+0d9WXvC/SIWETtKJ7p06cX8NCSquCP+55m1YbdRJQ9SWuc9QsfbNtAb1pm3g3cDdDb29sd/xRLOqb1L/2MVRt287XPncfvXzWr7HE6WhHvctkJnNNwe1p9mSQNa2n/Jk6eMI4vX9ZT9igdr4hA7wO+XH+3y6XAPs+fS2rG9j37+YenXmLhnOmcNvHEssfpeMOecomIe4G5wJkRsQP4Y+BEgMxcAqwErgU2AvuB3x2rYSVVy7I1mzkh4IbLZ5Q9SiU08y6XhcPcn8DvFTaRpK7w6hvv8N112/nihVP58GknlT1OJfhJUUmlWP7wVt45NMDNV84se5TKMNAltdyb7xxi+SPb+NzHpvBLZ51a9jiVYaBLarl7H3uBfW8d5Ja5Hyl7lEox0CW11IFDA9zzwy386owzuHj66WWPUykGuqSWuv+Jnby0722PzseAgS6pZQYGkqUPbeajHzqVuecNeZ1jjYKBLqllHnxuFxt3vcGtcz9CdEtxSwsZ6JJaIjNZvHoj004/ic//iw+XPU4lGeiSWmLt1r38+IXXWHTFTMaPM3rGgn+rklpi8eqNnHHyBH7rE+cMv7KOi4EuacwNVuT+7id7OGnCuLLHqSwDXdKYW9q/iYkTxvGvLzu37FEqzUCXNKZ27K1V5P72nOlMmjih7HEqzUCXNKaWrdliRW6LGOiSxsyrb7zDirUvMN+K3JYw0CWNmeWPbOPtgwPcYkVuSxjoksbEm+8cYvnDW/ncbCtyW8VAlzQmVqzdzr63DnKrJVwtY6BLKtyBQwMsW7OZOVbktpSBLqlwfU++yEv73vbovMUMdEmFGhhIlvZvsiK3BAa6pEI9+NwufmpFbikMdEmFsSK3XAa6pMJYkVsu/8YlFcaK3HIZ6JIK8dzLtYrcr1iRWxoDXVIhlvZvZuKEcXzZitzSGOiSRm37nv30PfkiC63ILZWBLmnU7vlhrSL3RityS2WgSxoVK3Lbh4EuaVSsyG0fTQV6RFwdERsiYmNE3D7E/dMjYlVE/CQinoqIa4sfVVK7sSK3vQwb6BExDrgLuAaYDSyMiNlHrPYfgfsy8yJgAfBXRQ8qqf1YkdtemjlCnwNszMzNmXkAWAHMP2KdBH6h/v1pwIvFjSipHR04NMA9VuS2lWYCfSqwveH2jvqyRn8C/E5E7ABWAr8/1A+KiEURsS4i1u3evfs4xpXULvqefJEXrchtK0W9KLoQ+FZmTgOuBb4TEe/72Zl5d2b2Zmbv5MnWakqdyorc9tRMoO8EGosZptWXNboBuA8gMx8BPgicWcSAktrPD6zIbUvNBPpaYFZEzIiICdRe9Ow7Yp0XgKsAIuJj1ALdcypSRS3u32RFbhsaNtAz8xBwG/AAsJ7au1meiYg7I2JefbWvATdFxJPAvcBXMjPHamhJ5Vm7dQ+Pb9vLTZdbkdtuxjezUmaupPZiZ+OyOxq+fxb4VLGjSWpHS1Zv4oyTJ3BdrxW57cZ/XiU1bcPLr/Pgc7usyG1TBrqkpi3t32RFbhsz0CU1Zcfe/dxvRW5bM9AlNWXZmi0EcMOvWZHbrgx0ScPa8+YBVqx9gS9eNJWzJ1mR264MdEnDWv7wVityO4CBLumY9h84xPJHrMjtBAa6pGNa8dh2Xtt/kFuutISr3Rnoko7q4LsDLKtX5H7iXCty252BLumo+p6oV+R6dN4RDHRJQxoYSJYMVuSeb0VuJzDQJQ1psCL3liutyO0UBrqkIS3u38TUSSfxhY9bkdspDHRJ7/NeRe4MK3I7iHtK0vssrlfkfumS6WWPohEw0CX9nOde/hk/sCK3Ixnokn7O0v7NVuR2KANd0mE79u6nz4rcjmWgSzrMitzOZqBLAt6ryJ1/oRW5ncpAlwRYkVsFBrqkwxW5n/3YFGZNsSK3Uxnokg5X5N461xKuTmagS13ucEVujxW5nc5Al7rc4Ypcj847noEudTErcqvFQJe6mBW51WKgS11sSb0i9/NW5FaCgS51qbVb97Bu214WXTGTE63IrQT3otSlltQrcq/rPafsUVSQpgI9Iq6OiA0RsTEibj/KOtdFxLMR8UxE/HWxY0oq0oaXX+dBK3IrZ/xwK0TEOOAu4HPADmBtRPRl5rMN68wC/hD4VGbujYizxmpgSaO3tH+TFbkV1MwR+hxgY2ZuzswDwApg/hHr3ATclZl7ATJzV7FjSirKjr37uf/JF1lwiRW5VdNMoE8Ftjfc3lFf1ug84LyI+L8R8WhEXD3UD4qIRRGxLiLW7d69+/gmljQqgxW5N15uRW7VFPWi6HhgFjAXWAh8IyImHblSZt6dmb2Z2Tt5sh9ikFptz5sH+O7a7VbkVlQzgb4TaHwZfFp9WaMdQF9mHszMLcDz1AJeUhtZ/vBW3jr4rhW5FdVMoK8FZkXEjIiYACwA+o5Y5++pHZ0TEWdSOwWzucA5JY2SFbnVN2ygZ+Yh4DbgAWA9cF9mPhMRd0bEvPpqDwCvRsSzwCrg32fmq2M1tKSRsyK3+oZ92yJAZq4EVh6x7I6G7xP4g/qXpDZjRW538JOiUhcYrMi9Za7nzqvMQJcqbmAgWfrQJs6fciqfPt/P/FWZgS5V3KoNu3j+lTe4Ze5MK3IrzkCXKm7x6lpF7hc+fnbZo2iMGehShQ1W5N50+QwrcruAe1iqsMGK3C9dMr3sUdQCBrpUUYMVuddfZkVutzDQpYpa2r+Jk060IrebGOhSBe3Yu5++J19k4ZzpnH6yFbndwkCXKmjZmi2AFbndxkCXKsaK3O5loEsVY0Vu9zLQpQp5ryL3LCtyu5CBLlWIFbndzUCXKuLguwPc88MtXNJzOp8494yyx1EJDHSpIv7hyRfZ+dpbHp13MQNdqoCBgWRJvxW53c5AlyrAilyBgS5VghW5AgNd6nhW5GqQe1/qcEtWb+L0iSdy3SXnlD2KSmagSx1ssCL3K5+cwcQJ48seRyUz0KUOtvQhK3L1HgNd6lA7X3uLviesyNV7DHSpQy1bsxmwIlfvMdClDrT3zQOseGw78y4824pcHWagSx1o+SODFbl+zF/vMdClDrP/wCGWP1yryD3Pilw1MNClDvPdtdvZa0WuhmCgSx3k4LsDLFtjRa6GZqBLHcSKXB1LU4EeEVdHxIaI2BgRtx9jvd+MiIyI3uJGlARW5Gp4wwZ6RIwD7gKuAWYDCyNi9hDrnQp8FfhR0UNKeq8i9+YrrcjV0Jo5Qp8DbMzMzZl5AFgBzB9ivf8MfB14u8D5JNUt6a9V5P7GBVbkamjNBPpUYHvD7R31ZYdFxMXAOZn5v471gyJiUUSsi4h1u3fvHvGwUrdat3UPa7fu5UYrcnUMo35mRMQJwJ8BXxtu3cy8OzN7M7N38uTJo31oqWss6a9V5H7JilwdQzOBvhNofBZNqy8bdCrwK8DqiNgKXAr0+cKoVIznX3mdf1q/i+s/2WNFro6pmUBfC8yKiBkRMQFYAPQN3pmZ+zLzzMzsycwe4FFgXmauG5OJpS6zpL9WkXv9ZT1lj6I2N2ygZ+Yh4DbgAWA9cF9mPhMRd0bEvLEeUOpmgxW5C+acY0WuhtXU72+ZuRJYecSyO46y7tzRjyUJGityZ5Y8iTqBL5dLbepwRe4FZzPVilw1wUCX2tThilw/5q8mGehSG7IiV8fDQJfa0GBFrhew0EgY6FKbaazI7e2xIlfNM9ClNjNYkevRuUbKQJfaSGaytH8z5005xYpcjZiBLrWRVRt2seGV17n5io9wwglW5GpkDHSpjSxeXavInXehFbkaOQNdahNW5Gq0fNZIbcKKXI2WgS61AStyVQQDXWoDVuSqCAa6VDIrclUUA10qmRW5KoqBLpXocEXuhVbkavQMdKlEhyty/Zi/CmCgSyWxIldFM9ClkgxW5N7qBSxUEANdKkFjRe4nzrUiV8Uw0KUSWJGrsWCgSy02MJAs6d/E+VNO5TMftSJXxTHQpRZbtWEXz7/yBrfMnUmEFbkqjoEutdiS/lpF7hc+bkWuimWgSy00WJF7kxW5GgM+o6QWGqzIvc6KXI0BA11qEStyNdYMdKlFrMjVWDPQpRawIletYKBLLWBFrlqhqUCPiKsjYkNEbIyI24e4/w8i4tmIeCoiHoyIc4sfVepMVuSqVYYN9IgYB9wFXAPMBhZGxOwjVvsJ0JuZHwe+B/yXogeVOpUVuWqVZo7Q5wAbM3NzZh4AVgDzG1fIzFWZub9+81FgWrFjSp3Jily1UjOBPhXY3nB7R33Z0dwA/O+h7oiIRRGxLiLW7d69u/kppQ41WJHr0blaodAXRSPid4Be4E+Huj8z787M3szsnTx5cpEPLbWdxorc3h4rcjX2mgn0nUDjx9qm1Zf9nIj4LPBHwLzMfKeY8aTOZUWuWq2ZQF8LzIqIGRExAVgA9DWuEBEXAUuphfmu4seUOktjRe6nz7ciV60xbKBn5iHgNuABYD1wX2Y+ExF3RsS8+mp/CpwC/E1EPBERfUf5cVJXGKzIvfnKmZxwghW5ao2mCiUycyWw8ohldzR8/9mC55I62mBF7m9cYEWuWsdPikoFG6zIvdGKXLWYzzapYEv6NzFp4ol8yYpctZiBLhVosCL3K1bkqgQGulQgK3JVJgNdKogVuSqbgS4VxIpclc1AlwpgRa7agYEuFWCwIvfmK/yYv8pjoEujNFiRe9VHz+L8D1mRq/IY6NIo3VevyL11rkfnKpeBLo3CwXcH+MaaLfSea0WuymegS6Pw/adqFbkenasdGOjSccpMlqzezHlTTrEiV23BQJeO06oNu9jwyuvccuVHrMhVWzDQpeO0ePUmzj7tg1bkqm0Y6NJxeHxbrSL3pitmWpGrtuEzUToOi1dv5nQrctVmDHRphGoVua9wvRW5ajMGujRCS/s3W5GrtmSgSyOw87W3uP+JnVbkqi0Z6NII3LNmC2BFrtqTgS41ae+bB7j3sReYd4EVuWpPBrrUpG8/sq1WkXulH/NXezLQpSbsP3CIbz28xYpctTUDXWqCFbnqBAa6NAwrctUpDHRpGFbkqlMY6NIxZCZL+63IVWcw0KVjWL1hN8+9/Do3X2FFrtqfgS4dw2BF7rwLrchV+zPQpaN4fNseHtu6hxsvtyJXnaGpZ2lEXB0RGyJiY0TcPsT9H4iI79bv/1FE9BQ9qNRqi1dvZtLEE1kwx4pcdYZhAz0ixgF3AdcAs4GFETH7iNVuAPZm5i8Bfw58vehBpVb66WBF7mVW5KpzNPNMnQNszMzNABGxApgPPNuwznzgT+rffw/4y4iIzMwCZwVqH/D4xprNRf9Y6efs3X+wVpH7yZ6yR5Ga1kygTwW2N9zeAfzq0dbJzEMRsQ/4ReCfG1eKiEXAIoDp06cf18CTJp7IrCmnHNeflUbi0+efxRlW5KqDtPR3ycy8G7gboLe397iO3n/9lz/Er//yhwqdS5KqoJkXRXcCja8KTasvG3KdiBgPnAa8WsSAkqTmNBPoa4FZETEjIiYAC4C+I9bpA66vf/8vgR+MxflzSdLRDXvKpX5O/DbgAWAc8M3MfCYi7gTWZWYfcA/wnYjYCOyhFvqSpBZq6hx6Zq4EVh6x7I6G798GfqvY0SRJI+HH3ySpIgx0SaoIA12SKsJAl6SKiLLeXRgRu4Ftx/nHz+SIT6F2iW7c7m7cZujO7e7GbYaRb/e5mTl5qDtKC/TRiIh1mdlb9hyt1o3b3Y3bDN253d24zVDsdnvKRZIqwkCXpIro1EC/u+wBStKN292N2wzdud3duM1Q4HZ35Dl0SdL7deoRuiTpCAa6JFVExwX6cBesroKIOCciVkXEsxHxTER8tb78jIj4x4j4af2/p5c9a9EiYlxE/CQivl+/PaN+4fGN9QuRV+4SQhExKSK+FxHPRcT6iLisS/b1v6s/v5+OiHsj4oNV298R8c2I2BURTzcsG3LfRs1f1Lf9qYi4eKSP11GB3uQFq6vgEPC1zJwNXAr8Xn07bwcezMxZwIP121XzVWB9w+2vA39evwD5XmoXJK+a/w78n8z8KHABte2v9L6OiKnAvwF6M/NXqFVzL6B6+/tbwNVHLDvavr0GmFX/WgQsHumDdVSg03DB6sw8AAxesLpSMvOlzPxx/fvXqf0PPpXati6vr7Yc+GI5E46NiJgGfB5YVr8dwGeoXXgcqrnNpwFXULumAJl5IDNfo+L7um48cFL9KmcTgZeo2P7OzIeoXSOi0dH27Xzg21nzKDApIj48ksfrtEAf6oLVU0uapSUioge4CPgRMCUzX6rf9TIwpaSxxsp/A/4DMFC//YvAa5l5qH67ivt7BrAb+B/1U03LIuJkKr6vM3Mn8F+BF6gF+T7gcaq/v+Ho+3bU+dZpgd5VIuIU4G+Bf5uZP2u8r36Jv8q85zQivgDsyszHy56lxcYDFwOLM/Mi4E2OOL1StX0NUD9vPJ/aP2hnAyfz/lMTlVf0vu20QG/mgtWVEBEnUgvz/5mZf1df/Mrgr2D1/+4qa74x8ClgXkRspXYq7TPUzi1Pqv9KDtXc3zuAHZn5o/rt71EL+Crva4DPAlsyc3dmHgT+jtpzoOr7G46+b0edb50W6M1csLrj1c8d3wOsz8w/a7ir8WLc1wP3t3q2sZKZf5iZ0zKzh9p+/UFm/itgFbULj0PFthkgM18GtkfE+fVFVwHPUuF9XfcCcGlETKw/3we3u9L7u+5o+7YP+HL93S6XAvsaTs00JzM76gu4Fnge2AT8UdnzjNE2/hq1X8OeAp6of11L7Zzyg8BPgX8Czih71jHa/rnA9+vfzwQeAzYCfwN8oOz5xmB7LwTW1ff33wOnd8O+Bv4T8BzwNPAd4ANV29/AvdReIzhI7bexG462b4Gg9i6+TcD/o/YOoBE9nh/9l6SK6LRTLpKkozDQJakiDHRJqggDXZIqwkCXpIow0CWpIgx0SaqI/w+931IfjpmbYAAAAABJRU5ErkJggg==\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 576x216 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "\n",
            "\n",
            "\n",
            "===================================================================================================================\n",
            "===================================================================================================================\n",
            "NEGARA ke 1 : India\n",
            "Populasi =  1417173173\n",
            "Area =  3287590\n",
            "Density =  431.0675\n",
            "Growth Rate =  1.0068\n",
            "World Pop Percentage =  17.77\n",
            "\n",
            "\n",
            "\n",
            "======== ################################## FUZZIFIKASI/FUNGSI KEANGGOTAAN ########################################## ========\n",
            " \n",
            "Nilai Density:  0.046331341301460834 | 0.9536686586985392 | 0.0\n",
            "Nilai Growth Rate:  0.0025651302605211156 | 0.9957176980223073 | 0.001717171717171696\n",
            "Nilai Populasi:  0.0 | 0.0 | 1.0\n",
            "Nilai area KM2:  0.0 | 0.0 | 1.0\n",
            "Nilai World Population Percentage:  0.0 | 0.0 | 1.0\n",
            "\n",
            "====== ############################################  INFERENCE FUZZY #####################################################======\n",
            " \n",
            "Nilai Himpunan bahan pokok:  0.0 | 0.0 | 1.0\n",
            "\n",
            "\n",
            "Nilai Jumlah bahan pokok =  8089.705882352941\n",
            "Nilai Aktifasi Himpunan bahan pokok =  1.0\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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jx9qm1Zf9nIj4LPBHwLzMfKeY8aTOZUWuWq2ZQF8LzIqIGRExAVgA9DWuEBEXAUuphfmu4seUOktjRe6nz7ciV60xbKBn5iHgNuABYD1wX2Y+ExF3RsS8+mp/CpwC/E1EPBERfUf5cVJXGKzIvfnKmZxwghW5ao2mCiUycyWw8ohldzR8/9mC55I62mBF7m9cYEWuWsdPikoFG6zIvdGKXLWYzzapYEv6NzFp4ol8yYpctZiBLhVosCL3K1bkqgQGulQgK3JVJgNdKogVuSqbgS4VxIpclc1AlwpgRa7agYEuFWCwIvfmK/yYv8pjoEujNFiRe9VHz+L8D1mRq/IY6NIo3VevyL11rkfnKpeBLo3CwXcH+MaaLfSea0WuymegS6Pw/adqFbkenasdGOjSccpMlqzezHlTTrEiV23BQJeO06oNu9jwyuvccuVHrMhVWzDQpeO0ePUmzj7tg1bkqm0Y6NJxeHxbrSL3pitmWpGrtuEzUToOi1dv5nQrctVmDHRphGoVua9wvRW5ajMGujRCS/s3W5GrtmSgSyOw87W3uP+JnVbkqi0Z6NII3LNmC2BFrtqTgS41ae+bB7j3sReYd4EVuWpPBrrUpG8/sq1WkXulH/NXezLQpSbsP3CIbz28xYpctTUDXWqCFbnqBAa6NAwrctUpDHRpGFbkqlMY6NIxZCZL+63IVWcw0KVjWL1hN8+9/Do3X2FFrtqfgS4dw2BF7rwLrchV+zPQpaN4fNseHtu6hxsvtyJXnaGpZ2lEXB0RGyJiY0TcPsT9H4iI79bv/1FE9BQ9qNRqi1dvZtLEE1kwx4pcdYZhAz0ixgF3AdcAs4GFETH7iNVuAPZm5i8Bfw58vehBpVb66WBF7mVW5KpzNPNMnQNszMzNABGxApgPPNuwznzgT+rffw/4y4iIzMwCZwVqH/D4xprNRf9Y6efs3X+wVpH7yZ6yR5Ga1kygTwW2N9zeAfzq0dbJzEMRsQ/4ReCfG1eKiEXAIoDp06cf18CTJp7IrCmnHNeflUbi0+efxRlW5KqDtPR3ycy8G7gboLe397iO3n/9lz/Er//yhwqdS5KqoJkXRXcCja8KTasvG3KdiBgPnAa8WsSAkqTmNBPoa4FZETEjIiYAC4C+I9bpA66vf/8vgR+MxflzSdLRDXvKpX5O/DbgAWAc8M3MfCYi7gTWZWYfcA/wnYjYCOyhFvqSpBZq6hx6Zq4EVh6x7I6G798GfqvY0SRJI+HH3ySpIgx0SaoIA12SKsJAl6SKiLLeXRgRu4Ftx/nHz+SIT6F2iW7c7m7cZujO7e7GbYaRb/e5mTl5qDtKC/TRiIh1mdlb9hyt1o3b3Y3bDN253d24zVDsdnvKRZIqwkCXpIro1EC/u+wBStKN292N2wzdud3duM1Q4HZ35Dl0SdL7deoRuiTpCAa6JFVExwX6cBesroKIOCciVkXEsxHxTER8tb78jIj4x4j4af2/p5c9a9EiYlxE/CQivl+/PaN+4fGN9QuRV+4SQhExKSK+FxHPRcT6iLisS/b1v6s/v5+OiHsj4oNV298R8c2I2BURTzcsG3LfRs1f1Lf9qYi4eKSP11GB3uQFq6vgEPC1zJwNXAr8Xn07bwcezMxZwIP121XzVWB9w+2vA39evwD5XmoXJK+a/w78n8z8KHABte2v9L6OiKnAvwF6M/NXqFVzL6B6+/tbwNVHLDvavr0GmFX/WgQsHumDdVSg03DB6sw8AAxesLpSMvOlzPxx/fvXqf0PPpXati6vr7Yc+GI5E46NiJgGfB5YVr8dwGeoXXgcqrnNpwFXULumAJl5IDNfo+L7um48cFL9KmcTgZeo2P7OzIeoXSOi0dH27Xzg21nzKDApIj48ksfrtEAf6oLVU0uapSUioge4CPgRMCUzX6rf9TIwpaSxxsp/A/4DMFC//YvAa5l5qH67ivt7BrAb+B/1U03LIuJkKr6vM3Mn8F+BF6gF+T7gcaq/v+Ho+3bU+dZpgd5VIuIU4G+Bf5uZP2u8r36Jv8q85zQivgDsyszHy56lxcYDFwOLM/Mi4E2OOL1StX0NUD9vPJ/aP2hnAyfz/lMTlVf0vu20QG/mgtWVEBEnUgvz/5mZf1df/Mrgr2D1/+4qa74x8ClgXkRspXYq7TPUzi1Pqv9KDtXc3zuAHZn5o/rt71EL+Crva4DPAlsyc3dmHgT+jtpzoOr7G46+b0edb50W6M1csLrj1c8d3wOsz8w/a7ir8WLc1wP3t3q2sZKZf5iZ0zKzh9p+/UFm/itgFbULj0PFthkgM18GtkfE+fVFVwHPUuF9XfcCcGlETKw/3we3u9L7u+5o+7YP+HL93S6XAvsaTs00JzM76gu4Fnge2AT8UdnzjNE2/hq1X8OeAp6of11L7Zzyg8BPgX8Czih71jHa/rnA9+vfzwQeAzYCfwN8oOz5xmB7LwTW1ff33wOnd8O+Bv4T8BzwNPAd4ANV29/AvdReIzhI7bexG462b4Gg9i6+TcD/o/YOoBE9nh/9l6SK6LRTLpKkozDQJakiDHRJqggDXZIqwkCXpIow0CWpIgx0SaqI/w+931IfjpmbYAAAAABJRU5ErkJggg==\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 576x216 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "\n",
            "\n",
            "\n",
            "===================================================================================================================\n",
            "===================================================================================================================\n",
            "NEGARA ke 2 : United States\n",
            "Populasi =  338289857\n",
            "Area =  9372610\n",
            "Density =  36.0935\n",
            "Growth Rate =  1.0038\n",
            "World Pop Percentage =  nan\n",
            "\n",
            "\n",
            "\n",
            "======== ################################## FUZZIFIKASI/FUNGSI KEANGGOTAAN ########################################## ========\n",
            " \n",
            "Nilai Density:  0.9205544488711819 | 0.07944555112881804 | 0.0\n",
            "Nilai Growth Rate:  0.004969939879759505 | 0.9940704641606446 | 0.0009595959595959659\n",
            "Nilai Populasi:  0.0 | 0.7772402218155198 | 0.22275977818448023\n",
            "Nilai area KM2:  0.0 | 0.0 | 1.0\n",
            "Nilai World Population Percentage:  nan | nan | nan\n",
            "\n",
            "====== ############################################  INFERENCE FUZZY #####################################################======\n",
            " \n",
            "Nilai Himpunan bahan pokok:  0.0 | 0.7772402218155198 | 0.22275977818448023\n",
            "\n",
            "\n",
            "Nilai Jumlah bahan pokok =  5561.267563193171\n",
            "Nilai Aktifasi Himpunan bahan pokok =  0.7772402218155198\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 576x216 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "\n",
            "\n",
            "\n",
            "===================================================================================================================\n",
            "===================================================================================================================\n",
            "NEGARA ke 3 : Indonesia\n",
            "Populasi =  275501339\n",
            "Area =  1904569\n",
            "Density =  144.6529\n",
            "Growth Rate =  1.0064\n",
            "World Pop Percentage =  3.45\n",
            "\n",
            "\n",
            "\n",
            "======== ################################## FUZZIFIKASI/FUNGSI KEANGGOTAAN ########################################## ========\n",
            " \n",
            "Nilai Density:  0.6802724656927845 | 0.31972753430721557 | 0.0\n",
            "Nilai Growth Rate:  0.00288577154308621 | 0.9954980668407523 | 0.0016161616161616062\n",
            "Nilai Populasi:  0.0 | 0.8232054619326501 | 0.17679453806734993\n",
            "Nilai area KM2:  0.0 | 0.0 | 1.0\n",
            "Nilai World Population Percentage:  0.43220338983050843 | 0.5677966101694915 | 0.0\n",
            "\n",
            "====== ############################################  INFERENCE FUZZY #####################################################======\n",
            " \n",
            "Nilai Himpunan bahan pokok:  0.0 | 0.43220338983050843 | 0.17679453806734993\n",
            "\n",
            "\n",
            "Nilai Jumlah bahan pokok =  5604.370455280809\n",
            "Nilai Aktifasi Himpunan bahan pokok =  0.43220338983050843\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 576x216 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "\n",
            "\n",
            "\n",
            "===================================================================================================================\n",
            "===================================================================================================================\n",
            "NEGARA ke 4 : Pakistan\n",
            "Populasi =  235824862\n",
            "Area =  881912\n",
            "Density =  267.4018\n",
            "Growth Rate =  1.0191\n",
            "World Pop Percentage =  2.96\n",
            "\n",
            "\n",
            "\n",
            "======== ################################## FUZZIFIKASI/FUNGSI KEANGGOTAAN ########################################## ========\n",
            " \n",
            "Nilai Density:  0.4085838866755202 | 0.5914161133244799 | 0.0\n",
            "Nilai Growth Rate:  0.0 | 0.9859848484848487 | 0.014015151515151373\n",
            "Nilai Populasi:  0.0 | 0.8522511991215227 | 0.1477488008784773\n",
            "Nilai area KM2:  0.0 | 0.731088471849866 | 0.2689115281501341\n",
            "Nilai World Population Percentage:  0.5152542372881356 | 0.48474576271186437 | 0.0\n",
            "\n",
            "====== ############################################  INFERENCE FUZZY #####################################################======\n",
            " \n",
            "Nilai Himpunan bahan pokok:  0.0 | 0.5152542372881356 | 0.1477488008784773\n",
            "\n",
            "\n",
            "Nilai Jumlah bahan pokok =  5461.365826504104\n",
            "Nilai Aktifasi Himpunan bahan pokok =  0.5152542372881356\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 576x216 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "\n",
            "\n",
            "\n",
            "===================================================================================================================\n",
            "===================================================================================================================\n",
            "NEGARA ke 5 : Nigeria\n",
            "Populasi =  218541212\n",
            "Area =  923768\n",
            "Density =  236.5759\n",
            "Growth Rate =  1.0241\n",
            "World Pop Percentage =  2.74\n",
            "\n",
            "\n",
            "\n",
            "======== ################################## FUZZIFIKASI/FUNGSI KEANGGOTAAN ########################################## ========\n",
            " \n",
            "Nilai Density:  0.4768129703408588 | 0.5231870296591412 | 0.0\n",
            "Nilai Growth Rate:  0.0 | 0.9796717171717172 | 0.02032828282828283\n",
            "Nilai Populasi:  0.0 | 0.8649039443631039 | 0.13509605563689606\n",
            "Nilai area KM2:  0.0 | 0.6936836461126005 | 0.3063163538873994\n",
            "Nilai World Population Percentage:  0.5525423728813559 | 0.44745762711864406 | 0.0\n",
            "\n",
            "====== ############################################  INFERENCE FUZZY #####################################################======\n",
            " \n",
            "Nilai Himpunan bahan pokok:  0.0 | 0.5525423728813559 | 0.13509605563689606\n",
            "\n",
            "\n",
            "Nilai Jumlah bahan pokok =  5407.258214194138\n",
            "Nilai Aktifasi Himpunan bahan pokok =  0.5525423728813559\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXQAAAD4CAYAAAD8Zh1EAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4yLjIsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+WH4yJAAAeLklEQVR4nO3da3Bb95ke8OcFQPB+BagbKYkkRMehbdmSKZmEnTTNphk7aa1MsztjT7ObtMl4dmbdpN2d2XpnO57WbT9kt5NtM/XsrNfZNN1p1vG6O62aateTOmlrB5BM2rJlXayIh6RE6mIRB7yJFC8g3n4AoKUU0gRFAH+cc57fjMYEcEQ+x4d8BL7nJqoKIiJyPp/pAEREVBgsdCIil2ChExG5BAudiMglWOhERC4RMPWFw+GwdnR0mPryRESO9M477yRUtXWt14wVekdHBwYHB019eSIiRxKRi+u9xpELEZFLsNCJiFyChU5E5BIsdCIil2ChExG5BAudiMglWOhERC5h7Dh08rZ3Libxf89PmI7haI91t+JwZ4vpGFRGWOhUcqmVNP7pD0/iyvQCREyncSZV4EeDY3jzdz+LYIC/aFMGC51K7tjpa7gyvYA//Y1e/L2e7abjONLPzl/HP/7+AH586gr+4cF203GoTPCfdiopVcXLbw6jK1yLX7l3m+k4jvWZe1rRva0OL785At51jHJY6FRSA6OTODU+jX/yWCd8Ps5b7paI4Buf6sTZqzOIW7bpOFQmWOhUUi+/OYzmmgp8mWOCLTvyUBvCdUG8/NaI6ShUJljoVDIjiTn85NxH+ErfXlQH/abjOF5VhR+/3teBn354HUPXZ03HoTLAQqeS+f7PR1Dh8+HX+/eajuIaX+nbg8qAD997a9R0FCoDLHQqCVXFX5++hs/ftx3b6qtMx3GNUF0lvvDATvzN6atIp7lz1OtY6FQS1sQNTMwu4tPda95ohbbgU91hTM4v48NrHLt4HQudSiKWPRKjPxIynMR9cv9PY1bCcBIyjYVOJREbsrG7pRq7W2pMR3GdnY3V6ArX8vBFYqFT8aXTiviwjWhX2HQU1+qPhHBiJInUStp0FDKIhU5Fd/bqDKZvLiO6j+OWYolGwrixmMIHl6dNRyGDWOhUdLlRQH8XC71Y+royV12MceziaSx0KrqYlcC+bXXY1sDDFYslVFeJe3fUc47ucSx0KqrllTTeHkkiyqNbii4aCWNgNInF1IrpKGRIXoUuIo+LyHkRGRKR59Z4/WsiMiEi72X/fKPwUcmJTo1PY25phYVeAtFICIupNE5emjIdhQzZsNBFxA/gRQBPAOgB8LSI9Kyx6I9U9aHsn5cLnJMcKm4lIAI80slCL7bDXS3wCefoXpbPO/TDAIZUdVhVlwC8AuBIcWORW8QsGz07G9BcGzQdxfUaqirwQHsTYkM8wcir8in0NgBjqx6PZ5+705dF5JSIvCYiu9f6RCLyjIgMisjgxATvJ+l2C8srGLw4yaNbSigaCeG9sSnML6VMRyEDCrVT9H8C6FDV/QB+AuAHay2kqi+paq+q9ra28poebvfupUkspdJ4dB9PKCqVaCSEVFoxMDppOgoZkE+hXwaw+h13e/a5W1TVVtXF7MOXATxcmHjkZHHLht8nOMQ705dM794WVPiF13XxqHwKfQBAt4h0ikgQwFMAjq5eQER2rnr4JIBzhYtIThWzbDzY3oi6St6LvFSqg34c2NPM49E9asNCV9UUgGcBvI5MUb+qqmdE5AUReTK72DdF5IyIvA/gmwC+VqzA5Aw3FlN4f2wK0QjHLaUWjYRw+vI0pueXTUehEstrhq6qx1T1HlWNqOq/yz73vKoezX78e6p6n6o+qKp/V1U/LGZoKn8Do0mk0srL5RrQ3xVCWoETI3yX7jU8U5SKIm7ZCPp9eHhvs+konvPQniZUVfh4PLoHsdCpKGJWAgf3NqGqgjeDLrXKgB+HOlo4R/cgFjoV3NT8Es5cmeH83KD+SAjnP5rFxOzixguTa7DQqeCODyehCl6/xaDcP6bHh/ku3UtY6FRwcSuBmqAf+9ubTEfxrPt3NaC+MsA5usew0KngYpaNQx0tCAb47WVKwO/DI10tPMHIY/gTRwV1fXYBF67f4OGKZaA/EsZFex6Xp26ajkIlwkKngsodWfEod4gal9uHwaNdvIOFTgUVt2w0VAXQs6vBdBTP+8T2erTUBjl28RAWOhXUz60E+rpC8PvEdBTP8/kE/V0hxC0bqmo6DpUAC50KZiw5j7HkTR6uWEb6IyFcnV7AqD1vOgqVAAudCiY3q43y+udlI/ePK8cu3sBCp4KJWQmE64Lo3lZnOgpldYZrsaOhisejewQLnQpCVRGzbPRHwhDh/LxciAiikRCOWzbSac7R3Y6FTgVhTczh+uwi5+dlqD8Sgj23hF9cnzUdhYqMhU4FEc/OaFno5Sd3kldsiGMXt2OhU0HELBttTdXY01JjOgrdob25BntDNZyjewALnbYsnVbEh230R0Kcn5epaCSEE8M2Uitp01GoiFjotGXnrs1gan4Z/V0ct5Sr/kgYs4spnLkyYzoKFRELnbbsb48/Z6GXq9w/thy7uBsLnbYsZtnoCtdiZ2O16Si0jtb6StyzvY4nGLkcC522ZHkljRPZ+TmVt2gkjIHRJJZSnKO7FQudtuSDy9OYW1rh/UMdoD8SwsJyGu+NTZmOQkXCQqctyc3P+7paDCehjfR1hiDC67q4GQudtiRmJXDvjnqE6ipNR6ENNNZU4P5djdwx6mIsdLprC8srGByd5LjFQaKREE5emsTNpRXTUagIWOh0105emsJiKs3T/R2kPxLC8opi8GLSdBQqgrwKXUQeF5HzIjIkIs99zHJfFhEVkd7CRaRyFbcS8AlwmPNzxzjU0YKATzh2cakNC11E/ABeBPAEgB4AT4tIzxrL1QP4FoAThQ5J5Slm2XigvQkNVRWmo1CeaisDeGh3EwvdpfJ5h34YwJCqDqvqEoBXABxZY7l/A+DbABYKmI/K1NxiCu+NTXHc4kDRSAgfjE9hZmHZdBQqsHwKvQ3A2KrH49nnbhGRgwB2q+r/+rhPJCLPiMigiAxOTExsOiyVj4HRJFJp5fVbHKg/EkZagbeHOUd3my3vFBURH4DvAPidjZZV1ZdUtVdVe1tbW7f6pcmguGWjwi841MH5udMc2NOEyoCPYxcXyqfQLwPYvepxe/a5nHoA9wP4PyIyCqAPwFHuGHW3mGXjwJ5mVAf9pqPQJlVV+NHb0cwTjFwon0IfANAtIp0iEgTwFICjuRdVdVpVw6raoaodAI4DeFJVB4uSmIybnl/G6SvTnJ87WDQSxofXZmHfWDQdhQpow0JX1RSAZwG8DuAcgFdV9YyIvCAiTxY7IJWf4yM2VMETihwsdzG145yju0ogn4VU9RiAY3c89/w6y35m67GonMUtG1UVPjy0u8l0FLpL+9saUVcZQMxK4Iv7d5qOQwXCM0Vp02JWAoc6WhAM8NvHqQJ+Hw53tty6uBq5A38iaVMmZhfxi49ucNziAtFICMOJOVydvmk6ChUIC502JT6cvd0cd4g6Xm6Oznfp7sFCp02JWwnUVwVw364G01Foiz65owFNNRU8Ht1FWOi0KTHLxiOdIQT8/NZxOp9P0N8VQtyyoaqm41AB8KeS8nZ56iYu2vO8f6iLRCMhXJ66iUvJedNRqABY6JS32FDmzMJH97HQ3aI/u3ObYxd3YKFT3uKWjVBtEPdsqzcdhQok0lqLbfWVLHSXYKFTXlQVMctGXyQEn09Mx6ECERFEIyHErQTn6C7AQqe8jCTmcG1mgYcrulA0EkbixhIuXL9hOgptEQud8pL7lZwnFLlPbid3bh8JORcLnfISt2zsbKxCR6jGdBQqsN0tNdjdUs05uguw0GlD6bQiPmyjPxKCCOfnbhTtCuP4sI2VNOfoTsZCpw2d/2gWybkljltcLLovhJmFFM5emTEdhbaAhU4byv0qzhOK3Ct3b1jexcjZWOi0obiVQEeoBm1N1aajUJFsa6jCvm11nKM7HAudPlZqJY0Tw8lbZxSSe0UjIQyMJrGUSpuOQneJhU4f6/SVGcwupjhu8YBoJIT5pRWcGp8yHYXuEgudPlZuppqbsZJ7PdIZggiv6+JkLHT6WHHLxie216O1vtJ0FCqy5togenY2cMeog7HQaV2LqRUMjCY5bvGQaCSEdy9OYWF5xXQUugssdFrXe5emsLCc5vVbPCQaCWNpJY13Lk6ajkJ3gYVO64pZNnwCPML5uWcc6myB3yccuzgUC53WFbds3N/WiMbqCtNRqETqKgN4sL2RO0YdioVOa5pfSuHk2CTn5x4UjYRxanwaswvLpqPQJrHQaU2Do5NYXlFev8WDopEQVtKKgdGk6Si0SXkVuog8LiLnRWRIRJ5b4/XfFJEPROQ9EXlLRHoKH5VKKWbZCPgEhzqaTUehEju4txnBgA+xIY5dnGbDQhcRP4AXATwBoAfA02sU9g9V9QFVfQjAHwD4TsGTUknFrQQO7GlCTTBgOgqVWFWFHw/vaeYc3YHyeYd+GMCQqg6r6hKAVwAcWb2Aqq6+5mYtAF5U2cGmby7jg8vTvH6Lh0UjIZy9OoPJuSXTUWgT8in0NgBjqx6PZ5+7jYj8lohYyLxD/2Zh4pEJb48kkVae7u9l0X2ZbR8f5rt0JynYTlFVfVFVIwD+BYB/udYyIvKMiAyKyODExEShvjQVWMxKoDLgw8G9TaajkCH725tQE/QjzrGLo+RT6JcB7F71uD373HpeAfCltV5Q1ZdUtVdVe1tbW/NPSSUVt2wc6mhBZcBvOgoZUuH34XBnC08wcph8Cn0AQLeIdIpIEMBTAI6uXkBEulc9/CKAC4WLSKWUuLGID6/N8vhzQjQSgjUxh49mFkxHoTxtWOiqmgLwLIDXAZwD8KqqnhGRF0Tkyexiz4rIGRF5D8BvA/hq0RJTUR3Pzkx5/RbKnYPAsYtz5HVMmqoeA3DsjueeX/XxtwqciwyJWTbqKgN4oK3RdBQy7JM7G9BYXYGYlcCXDvzScRBUhnimKN0mbtl4pLMFAT+/NbzO7xP0dbXweHQH4U8t3XJl6iZGEnOcn9Mt0UgY45M3MZacNx2F8sBCp1tys1Jev4VycvtSeLSLM7DQ6ZaYZaO5pgL37qg3HYXKxL5tdQjXVXLs4hAsdAIAqCriVgL9kRB8PjEdh8qEiCAaCSFm2VDlFT3KHQudAAAX7XlcmV7g9Vvol0QjIUzMLsKauGE6Cm2AhU4AcOtXal6/he6U26fyc15Ot+yx0AlAZqfX9oZKRFprTUehMrO7pRptTdU8wcgBWOiUnZ/biEbCEOH8nG6Xm6PHh22k05yjlzMWOuEXH92APbfE489pXdF9IUzfXMbZqzMbL0zGsNDp1jHGvH4Lrae/i9d1cQIWOiFm2djTUoP25hrTUahM7WisQldrLU8wKnMsdI9bSSuOD9t8d04bikZCeHskieWVtOkotA4WuseduTKN2YUU5+e0oWgkjLmlFZwanzYdhdbBQve4W8efs9BpA33ZcxTiHLuULRa6x8UsG93b6rCtvsp0FCpzLbVBfHJnA6/rUsZY6B62lEpjYCTJ+TnlLRoJYfDiJBaWV0xHoTWw0D3s/fEp3Fxe4fVbKG/RSAhLqTTevTRpOgqtgYXuYbEhGyJAX1eL6SjkEIc7W+D3CWK8rktZYqF7WMxK4L5dDWiqCZqOQg5RX1WBB9oaER9moZcjFrpH3VxawclLU7w7EW1aNBLC+2NTuLGYMh2F7sBC96h3Lk5iaSXNwxVp06KRMFJpxcBo0nQUugML3aNiVgIBn+BQB+fntDkP721G0O/jdV3KEAvdo2KWjQd3N6GuMmA6CjlMddCPA3uaeF2XMsRC96CZhWWcGp/i8ed016KRMM5cmcHU/JLpKLQKC92DBkaSSCtP96e7F90XgipwfJhz9HLCQvegmGUjGPDh4J5m01HIoR5sb0J1hZ/XdSkzeRW6iDwuIudFZEhEnlvj9d8WkbMickpE3hCRvYWPSoUSs2z07m1GVYXfdBRyqGDAh0OdLbyuS5nZsNBFxA/gRQBPAOgB8LSI9Nyx2EkAvaq6H8BrAP6g0EGpMJJzSzh3dYbzc9qyaCSEC9dv4PrsgukolJXPO/TDAIZUdVhVlwC8AuDI6gVU9WeqOp99eBxAe2FjUqEcH85dLpcnFNHW5N4U8PDF8pFPobcBGFv1eDz73Hq+DuCv13pBRJ4RkUERGZyYmMg/JRVMzEqgNujH/vZG01HI4e7b1Yj6qgALvYwUdKeoiHwFQC+AP1zrdVV9SVV7VbW3tbW1kF+a8hSzbBzubEGFn/vDaWv8PkFfV4hz9DKSz0/1ZQC7Vz1uzz53GxH5HIDfB/Ckqi4WJh4V0rXpBQxPzPH6LVQw0UgIl5LzGEvOb7wwFV0+hT4AoFtEOkUkCOApAEdXLyAiBwD8CTJlfr3wMakQ4sOZQ8x4/DkVSu7NAa++WB42LHRVTQF4FsDrAM4BeFVVz4jICyLyZHaxPwRQB+AvReQ9ETm6zqcjg2JDNhqrK9Czs8F0FHKJe7bXIVQb5By9TOR1IQ9VPQbg2B3PPb/q488VOBcVmKoiZtno7wrB5xPTccglRAT9kRDilg1VhQi/t0zinjGPGEvexOWpm4ju47iFCisaCePazAJGEnOmo3geC90jclfG4wlFVGi57yke7WIeC90jYpaN1vpKRFrrTEchl9kbqsGuxirO0csAC90DcvPzaCTEGScVXGaOHkZ82EY6rabjeBoL3QOGrt9A4sYixy1UNNFICMm5JXx4bdZ0FE9joXtAbrbJE4qoWHI723kXI7NY6B4QsxJoa6rG7pYa01HIpXY2VqMrXIufD7HQTWKhu9xKWnF8OIlHebgiFdlj3WEcH05iMbViOopnsdBd7tzVGUzfXOa4hYruU92tuLm8gncvTpmO4lksdJfLzTR5/RYqtr6uFvh9gjcv8NLYprDQXS5m2Yi01mJ7Q5XpKORy9VUVOLinCW9xjm4MC93FllfSeHskyXELlcynulvxweVpJOeWTEfxJBa6i50an8L80gqPP6eSeaw7DFXwaBdDWOguFhvKHH/e18VCp9LY39aIhqoA3rrAQjeBhe5iMctGz84GNNcGTUchjwj4fXh0XxhvXpiAKi8DUGosdJdaWF7BO5cmOW6hknusO4wr0wuwJng53VLL6wYX5DzvXpzEUirN659TyX26O3MD+KPvX8E/2L/TcJry1Fpfiaaawv/mzEJ3qZhlw+8THOpoMR2FPGZ3Sw26wrX47hsX8N03LpiOU5b+7Zfux1f69hb887LQXSpmJfBAWyPqqypMRyEPevmrvTh7dcZ0jLL1QFtjUT4vC92Fbiym8P74NH7z73SZjkIe1dVahy7eTKXkuFPUhQZGklhJK08oIvIYFroLxawEgn4fHt7bbDoKEZUQC92FYpaNg3ubUFXhNx2FiEqIhe4yk3NLOHt1huMWIg9iobvMiREbquAJRUQexEJ3mZhloybox/72JtNRiKjEWOguE7NsHOpoQTDATUvkNXn91IvI4yJyXkSGROS5NV7/tIi8KyIpEfnVwsekfFyfWcDQ9RsctxB51IaFLiJ+AC8CeAJAD4CnRaTnjsUuAfgagB8WOiDlLz6cuVwud4gSeVM+Z4oeBjCkqsMAICKvADgC4GxuAVUdzb6WLkJGylNsyEZDVQA9uxpMRyEiA/IZubQBGFv1eDz73KaJyDMiMigigxMTvJFsocWGE3ikKwS/T0xHISIDSrrnTFVfUtVeVe1tbW0t5Zd2vbHkPMaSN/Eo5+dEnpVPoV8GsHvV4/bsc1RG4lZ2fr6P83Mir8qn0AcAdItIp4gEATwF4GhxY9FmxawEwnVBdG/jFe6IvGrDQlfVFIBnAbwO4ByAV1X1jIi8ICJPAoCIHBKRcQC/BuBPRORMMUPT7VQVMctGfyQMEc7Pibwqr+uhq+oxAMfueO75VR8PIDOKIQOsiTlcn13k8edEHsfTCV0gbiUA8PotRF7HQneBmGWjrakae1pqTEchIoNY6A6XTiviwzb6IyHOz4k8joXucOeuzWBqfpnjFiJioTtd7vjzfhY6keex0B0ubtnoCtdiZ2O16ShEZBgL3cFSK2mcGEmij+/OiQgsdEf74PI0biym8Cgvl0tEYKE7Wiw7P+/rajGchIjKAQvdweKWjXt31CNUV2k6ChGVARa6Qy2mVjAwmuTdiYjoFha6Q528NIXFVJrHnxPRLSx0h4pZNnwCHOb8nIiyWOgOFbcSeKC9CQ1VFaajEFGZYKE70PxSCicvTXHcQkS3YaE70MDoJFJpZaET0W1Y6A4UsxKo8At693J+TkR/i4XuQHHLxoE9zagO+k1HIaIywkJ3mOn5ZZy+PI3+Lo5biOh2LHSHOTFiI63Ao/t4QhER3Y6F7jAxy0ZVhQ8P7W4yHYWIygwL3WHilo1DHS0IBrjpiOh2bAUHmZhdxPmPZnn9FiJaEwvdQY4PZy6Xy+PPiWgtLHQHiVk26qsCuG9Xg+koRFSGWOgOErcSeKQzhICfm42IfhmbwSEuT93EqD3PcQsRrSuvQheRx0XkvIgMichza7xeKSI/yr5+QkQ6Ch3U6+LZ281F97HQiWhtGxa6iPgBvAjgCQA9AJ4WkZ47Fvs6gElV3QfgjwB8u9BBvS5mJRCqDeKebfWmoxBRmQrkscxhAEOqOgwAIvIKgCMAzq5a5giAf5X9+DUA/0lERFW1gFkBAK8OjOFP3xwu9Kcte5eS8/hcz3b4fGI6ChGVqXwKvQ3A2KrH4wAeWW8ZVU2JyDSAEIDE6oVE5BkAzwDAnj177ipwU00FurfX3dXfdbJ7dtTjG491mo5BRGUsn0IvGFV9CcBLANDb23tX794/f98OfP6+HQXNRUTkBvnsFL0MYPeqx+3Z59ZcRkQCABoB2IUISERE+cmn0AcAdItIp4gEATwF4OgdyxwF8NXsx78K4KfFmJ8TEdH6Nhy5ZGfizwJ4HYAfwJ+p6hkReQHAoKoeBfA9AH8uIkMAksiUPhERlVBeM3RVPQbg2B3PPb/q4wUAv1bYaEREtBk8U5SIyCVY6ERELsFCJyJyCRY6EZFLiKmjC0VkAsDFu/zrYdxxFqpHeHG9vbjOgDfX24vrDGx+vfeqautaLxgr9K0QkUFV7TWdo9S8uN5eXGfAm+vtxXUGCrveHLkQEbkEC52IyCWcWugvmQ5giBfX24vrDHhzvb24zkAB19uRM3QiIvplTn2HTkREd2ChExG5hOMKfaMbVruBiOwWkZ+JyFkROSMi38o+3yIiPxGRC9n/NpvOWmgi4heRkyLy4+zjzuyNx4eyNyIPms5YaCLSJCKviciHInJORPo9sq3/efb7+7SI/IWIVLlte4vIn4nIdRE5veq5NbetZHw3u+6nROTgZr+eowo9zxtWu0EKwO+oag+APgC/lV3P5wC8oardAN7IPnabbwE4t+rxtwH8UfYG5JPI3JDcbf4jgL9R1XsBPIjM+rt6W4tIG4BvAuhV1fuRuTT3U3Df9v7PAB6/47n1tu0TALqzf54B8Meb/WKOKnSsumG1qi4ByN2w2lVU9aqqvpv9eBaZH/A2ZNb1B9nFfgDgS2YSFoeItAP4IoCXs48FwGeRufE44M51bgTwaWTuKQBVXVLVKbh8W2cFAFRn73JWA+AqXLa9VfX/IXOPiNXW27ZHAPwXzTgOoElEdm7m6zmt0Ne6YXWboSwlISIdAA4AOAFgu6pezb50DcB2Q7GK5T8A+F0A6ezjEIApVU1lH7txe3cCmADw/eyo6WURqYXLt7WqXgbw7wFcQqbIpwG8A/dvb2D9bbvlfnNaoXuKiNQB+G8A/pmqzqx+LXuLP9cccyoifx/AdVV9x3SWEgsAOAjgj1X1AIA53DFecdu2BoDs3PgIMv+g7QJQi18eTbheobet0wo9nxtWu4KIVCBT5v9VVf8q+/RHuV/Bsv+9bipfETwK4EkRGUVmlPZZZGbLTdlfyQF3bu9xAOOqeiL7+DVkCt7N2xoAPgdgRFUnVHUZwF8h8z3g9u0NrL9tt9xvTiv0fG5Y7XjZ2fH3AJxT1e+semn1zbi/CuB/lDpbsajq76lqu6p2ILNdf6qq/wjAz5C58TjgsnUGAFW9BmBMRD6RfepXAJyFi7d11iUAfSJSk/1+z623q7d31nrb9iiA38ge7dIHYHrVaCY/quqoPwC+AOAXACwAv286T5HW8TFkfg07BeC97J8vIDNTfgPABQD/G0CL6axFWv/PAPhx9uMuAG8DGALwlwAqTecrwvo+BGAwu73/O4BmL2xrAP8awIcATgP4cwCVbtveAP4CmX0Ey8j8Nvb19bYtAEHmKD4LwAfIHAG0qa/HU/+JiFzCaSMXIiJaBwudiMglWOhERC7BQicicgkWOhGRS7DQiYhcgoVOROQS/x+67lcaY5yV0gAAAABJRU5ErkJggg==\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 576x216 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "\n",
            "\n",
            "\n",
            "===================================================================================================================\n",
            "===================================================================================================================\n",
            "NEGARA ke 6 : Brazil\n",
            "Populasi =  215313498\n",
            "Area =  8515767\n",
            "Density =  25.2841\n",
            "Growth Rate =  1.0046\n",
            "World Pop Percentage =  2.7\n",
            "\n",
            "\n",
            "\n",
            "======== ################################## FUZZIFIKASI/FUNGSI KEANGGOTAAN ########################################## ========\n",
            " \n",
            "Nilai Density:  0.9444796370075255 | 0.055520362992474544 | 0.0\n",
            "Nilai Growth Rate:  0.004328657314629315 | 0.9945097265237546 | 0.0011616161616161457\n",
            "Nilai Populasi:  0.0 | 0.8672668389458272 | 0.13273316105417277\n",
            "Nilai area KM2:  0.0 | 0.0 | 1.0\n",
            "Nilai World Population Percentage:  0.559322033898305 | 0.4406779661016949 | 0.0\n",
            "\n",
            "====== ############################################  INFERENCE FUZZY #####################################################======\n",
            " \n",
            "Nilai Himpunan bahan pokok:  0.0 | 0.559322033898305 | 0.13273316105417277\n",
            "\n",
            "\n",
            "Nilai Jumlah bahan pokok =  5397.707032844959\n",
            "Nilai Aktifasi Himpunan bahan pokok =  0.559322033898305\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 576x216 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "\n",
            "\n",
            "\n",
            "\n"
          ]
        }
      ]
    }
  ]
}