TimeSeries_GOTO_JK_StatisticalApproach.ipynb

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      "cell_type": "markdown",
      "source": [
        "# Import Library dan Load Data"
      ],
      "metadata": {
        "id": "Q8eX4eLapC9O"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "plt.rcParams['figure.figsize'] = 15, 6 \n",
        "import seaborn as sns\n",
        "from statsmodels.tsa.stattools import adfuller\n",
        "from statsmodels.tsa.seasonal import seasonal_decompose\n",
        "from statsmodels.graphics.tsaplots import plot_acf\n",
        "from statsmodels.graphics.tsaplots import plot_pacf\n",
        "from statsmodels.tsa.arima_model import ARIMA\n",
        "import warnings\n",
        "from sklearn.metrics import mean_squared_error\n",
        "from math import sqrt"
      ],
      "metadata": {
        "id": "pJ0yU7Gloq9S"
      },
      "execution_count": 31,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ],
      "metadata": {
        "id": "MtXf_h4nDBfK",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "6e61f2d0-a3a8-47a5-87b5-724e3f284cc2"
      },
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data = pd.read_csv(\"/content/drive/MyDrive/dataset/GOTO.JK.csv\")"
      ],
      "metadata": {
        "id": "67ytM_TioTq2"
      },
      "execution_count": 33,
      "outputs": []
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        "data"
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              "           Date  Close\n",
              "168  12/16/2022     96\n",
              "169  12/19/2022     92\n",
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    {
      "cell_type": "markdown",
      "source": [
        "# Eksplorasi Data"
      ],
      "metadata": {
        "id": "53XUTNsRu9Cx"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "type(data)"
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        },
        "id": "w95OBF1pUxAB",
        "outputId": "70677a6b-de6f-4ab1-e723-9ed9ca01c7d0"
      },
      "execution_count": 36,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "pandas.core.frame.DataFrame"
            ]
          },
          "metadata": {},
          "execution_count": 36
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data.isnull().sum()/len(data)"
      ],
      "metadata": {
        "colab": {
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        },
        "id": "qFpmVxZmozzI",
        "outputId": "a7d8f0a7-5776-4866-e3cf-5a80a1113923"
      },
      "execution_count": 37,
      "outputs": [
        {
          "output_type": "execute_result",
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              "Date     0.0\n",
              "Close    0.0\n",
              "dtype: float64"
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              "..          ...    ...\n",
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              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>168</th>\n",
              "      <td>12/16/2022</td>\n",
              "      <td>96</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>169</th>\n",
              "      <td>12/19/2022</td>\n",
              "      <td>92</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>170</th>\n",
              "      <td>12/20/2022</td>\n",
              "      <td>87</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>171</th>\n",
              "      <td>12/21/2022</td>\n",
              "      <td>89</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>172</th>\n",
              "      <td>12/22/2022</td>\n",
              "      <td>88</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>173 rows × 2 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-1ca80c27-effb-498a-ab11-bc4b0e0adf73')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
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              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "      <script>\n",
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              "          document.querySelector('#df-1ca80c27-effb-498a-ab11-bc4b0e0adf73 button.colab-df-convert');\n",
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              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-1ca80c27-effb-498a-ab11-bc4b0e0adf73');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 38
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Mengubah tanggal menjadi index\n",
        "con = data['Date']\n",
        "data['Date']=pd.to_datetime(data['Date'])\n",
        "data.set_index('Date', inplace=True)\n",
        "#check datatype of index\n",
        "data.index"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HIHDFhphVHh3",
        "outputId": "c41732be-e293-4342-f4aa-0439b6fa88fa"
      },
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "DatetimeIndex(['2022-04-11', '2022-04-12', '2022-04-13', '2022-04-14',\n",
              "               '2022-04-18', '2022-04-19', '2022-04-20', '2022-04-21',\n",
              "               '2022-04-22', '2022-04-25',\n",
              "               ...\n",
              "               '2022-12-09', '2022-12-12', '2022-12-13', '2022-12-14',\n",
              "               '2022-12-15', '2022-12-16', '2022-12-19', '2022-12-20',\n",
              "               '2022-12-21', '2022-12-22'],\n",
              "              dtype='datetime64[ns]', name='Date', length=173, freq=None)"
            ]
          },
          "metadata": {},
          "execution_count": 39
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data"
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      "metadata": {
        "colab": {
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          "height": 455
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        "id": "5IIrRc1TXbkw",
        "outputId": "d830cba2-c4b6-4dc0-8c37-d0313f5eaf59"
      },
      "execution_count": 40,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "            Close\n",
              "Date             \n",
              "2022-04-11    382\n",
              "2022-04-12    370\n",
              "2022-04-13    374\n",
              "2022-04-14    376\n",
              "2022-04-18    378\n",
              "...           ...\n",
              "2022-12-16     96\n",
              "2022-12-19     92\n",
              "2022-12-20     87\n",
              "2022-12-21     89\n",
              "2022-12-22     88\n",
              "\n",
              "[173 rows x 1 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-fd6e5a38-a8f3-472f-8d2f-605fdbc354f2\">\n",
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              "      <th></th>\n",
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              "    <tr>\n",
              "      <th>Date</th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2022-04-11</th>\n",
              "      <td>382</td>\n",
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              "    <tr>\n",
              "      <th>2022-04-12</th>\n",
              "      <td>370</td>\n",
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              "    <tr>\n",
              "      <th>2022-04-13</th>\n",
              "      <td>374</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2022-04-14</th>\n",
              "      <td>376</td>\n",
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              "    <tr>\n",
              "      <th>2022-04-18</th>\n",
              "      <td>378</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2022-12-16</th>\n",
              "      <td>96</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2022-12-19</th>\n",
              "      <td>92</td>\n",
              "    </tr>\n",
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              "      <th>2022-12-20</th>\n",
              "      <td>87</td>\n",
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              "      <th>2022-12-21</th>\n",
              "      <td>89</td>\n",
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              "    <tr>\n",
              "      <th>2022-12-22</th>\n",
              "      <td>88</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
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              "<p>173 rows × 1 columns</p>\n",
              "</div>\n",
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              "      </button>\n",
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              "    .colab-df-convert {\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "\n",
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              "          const element = document.querySelector('#df-fd6e5a38-a8f3-472f-8d2f-605fdbc354f2');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
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              "  "
            ]
          },
          "metadata": {},
          "execution_count": 40
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Menginisialkan variabel Close sebagai data time series\n",
        "ts = data['Close']\n",
        "ts.head(10)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MMiCKautXp29",
        "outputId": "f47fcb9c-68c2-4050-acea-7f82729e7a2b"
      },
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Date\n",
              "2022-04-11    382\n",
              "2022-04-12    370\n",
              "2022-04-13    374\n",
              "2022-04-14    376\n",
              "2022-04-18    378\n",
              "2022-04-19    358\n",
              "2022-04-20    338\n",
              "2022-04-21    340\n",
              "2022-04-22    340\n",
              "2022-04-25    328\n",
              "Name: Close, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 41
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Visualisasi dataset\n",
        "plt.figure(figsize=(20,10))\n",
        "sns.set_style('darkgrid')\n",
        "plt.xlabel('Date')\n",
        "plt.ylabel('Close')\n",
        "plt.title('GOTO Stock Market CLOSE Price')\n",
        "plt.plot(data['Close'])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 638
        },
        "id": "wCjsKf-Ip3qS",
        "outputId": "795efc35-ce4b-43fb-ae40-e1fe622e34d4"
      },
      "execution_count": 42,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7f41f6830880>]"
            ]
          },
          "metadata": {},
          "execution_count": 42
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1440x720 with 1 Axes>"
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            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Uji Stasioneritas Data"
      ],
      "metadata": {
        "id": "kAmRXZ_Ix--p"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Deklarasi fungsi untuk mengecek stasioneritas data\n",
        "def test_stationarity(timeseries):\n",
        "    \n",
        "    #Determing rolling statistics\n",
        "    rolmean = timeseries.rolling(window=12).mean()\n",
        "    rolstd = timeseries.rolling(window=12).std()\n",
        "\n",
        "    #Plot rolling statistics:\n",
        "    orig = plt.plot(timeseries, color='blue',label='Original')\n",
        "    mean = plt.plot(rolmean, color='red', label='Rolling Mean')\n",
        "    std = plt.plot(rolstd, color='black', label = 'Rolling Std')\n",
        "    plt.legend(loc='best')\n",
        "    plt.title('Rolling Mean & Standard Deviation')\n",
        "    plt.show()\n",
        "    \n",
        "\n",
        "    #Perform Dickey-Fuller test:\n",
        "    print('Results of Dickey-Fuller Test:')\n",
        "    dftest = adfuller(timeseries, autolag='AIC')\n",
        "    dfoutput = pd.Series(dftest[0:4], index=['Test Statistic','p-value','#Lags Used','Number of Observations Used'])\n",
        "    for key,value in dftest[4].items():\n",
        "        dfoutput['Critical Value (%s)'%key] = value\n",
        "    print(dfoutput)"
      ],
      "metadata": {
        "id": "GCXvTgNWqde9"
      },
      "execution_count": 43,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Uji Hipotesis:\n",
        "\n",
        "H0 : Data tidak stasioner\n",
        "\n",
        "Ha : Data stasioner\n",
        "\n",
        "Tolak H0 apabila diperoleh p-value < alpha (0,05)"
      ],
      "metadata": {
        "id": "kcmD_G17yDqa"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Melakukan uji stasioneritas untuk dataset\n",
        "test_stationarity(ts)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 546
        },
        "id": "w9kCUAtPqzMK",
        "outputId": "c203b55d-b9a7-46a0-b135-b67d3500b58a"
      },
      "execution_count": 44,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1080x432 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Results of Dickey-Fuller Test:\n",
            "Test Statistic                  -0.561245\n",
            "p-value                          0.879501\n",
            "#Lags Used                       1.000000\n",
            "Number of Observations Used    171.000000\n",
            "Critical Value (1%)             -3.469181\n",
            "Critical Value (5%)             -2.878595\n",
            "Critical Value (10%)            -2.575863\n",
            "dtype: float64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Diperoleh nilai p-value > 0,05, maka H0 tidak ditolak.\n",
        "\n",
        "Jadi, data memiliki keadaan yang tidak stasioner."
      ],
      "metadata": {
        "id": "fQVBDOWRvddp"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Karena data belum stasioner, sehingga perlu dilakukan proses stasionerisasi data, yakni dengan proses differencing untuk memperoleh data yang stasioner."
      ],
      "metadata": {
        "id": "ZotPPqdd0noR"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Diferencing 1\n"
      ],
      "metadata": {
        "id": "cekbtOURj05C"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "ts_diff_1 = ts - ts.shift()\n",
        "ts_diff_1 = ts_diff_1.dropna()\n",
        "plt.plot(ts_diff_1)"
      ],
      "metadata": {
        "id": "JYIfKcQveOnS",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 391
        },
        "outputId": "4c7c9dbc-3091-4add-d8ad-db7bb2b291a6"
      },
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[<matplotlib.lines.Line2D at 0x7f41f676dcd0>]"
            ]
          },
          "metadata": {},
          "execution_count": 45
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1080x432 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "test_stationarity(ts_diff_1)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 546
        },
        "id": "7l5xH1Gvjt7G",
        "outputId": "13bae8b8-134a-4a71-c019-829f1f5827cb"
      },
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1080x432 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Results of Dickey-Fuller Test:\n",
            "Test Statistic                -9.794025e+00\n",
            "p-value                        6.243421e-17\n",
            "#Lags Used                     0.000000e+00\n",
            "Number of Observations Used    1.710000e+02\n",
            "Critical Value (1%)           -3.469181e+00\n",
            "Critical Value (5%)           -2.878595e+00\n",
            "Critical Value (10%)          -2.575863e+00\n",
            "dtype: float64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Setelah dilakukan proses differencing dan diuji stasioneritas data (setelah differencing), diperoleh data setelah differencing 1x telah membentuk data yang stasioner."
      ],
      "metadata": {
        "id": "gR4-pbgx04EL"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure()\n",
        "plt.subplot(211)\n",
        "plot_acf(ts_diff_1, ax=plt.gca(), lags=85)\n",
        "plt.subplot(212)\n",
        "plot_pacf(ts_diff_1, ax=plt.gca(), lags=85)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 390
        },
        "id": "6eq20xvHltN9",
        "outputId": "f7b9f5c0-9b11-429e-de1b-559932023fc6"
      },
      "execution_count": 47,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1080x432 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Plot ACF dan plot PACF dibentuk untuk mengetahui orde dari AR dan MA, sehingga bisa diketahui model yang sesuai untuk data."
      ],
      "metadata": {
        "id": "L7W-FNMc1F3c"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def evaluate_arima_model(X, arima_order):\n",
        "\t# prepare training dataset\n",
        "\tX = X.astype('float32')\n",
        "\ttrain_size = int(len(X) * 0.7)               #data trainingnya 70%\n",
        "\ttrain, test = X[0:train_size], X[train_size:]\n",
        "\thistory = [x for x in train]\n",
        "\t# make predictions\n",
        "\tpredictions = list()\n",
        "\tfor t in range(len(test)):\n",
        "\t\tmodel = ARIMA(history, order=arima_order)\n",
        "\t\tmodel_fit = model.fit()\n",
        "\t\tyhat = model_fit.forecast()[0]\n",
        "\t\tpredictions.append(yhat)\n",
        "\t\thistory.append(test[t])\n",
        "\t# calculate out of sample error\n",
        "\trmse = sqrt(mean_squared_error(test, predictions))\n",
        "\treturn rmse\n",
        "\n",
        "# evaluate combinations of p, d and q values for an ARIMA model\n",
        "# evaluate combinations of p, d and q values for an ARIMA model\n",
        "def evaluate_models(dataset, p_values, d_values, q_values):\n",
        "\tdataset = dataset.astype('float32')\n",
        "\tbest_score, best_cfg = float(\"inf\"), None\n",
        "\tfor p in p_values:\n",
        "\t\tfor d in d_values:\n",
        "\t\t\tfor q in q_values:\n",
        "\t\t\t\torder = (p,d,q)\n",
        "\t\t\t\ttry:\n",
        "\t\t\t\t\trmse = evaluate_arima_model(dataset, order)\n",
        "\t\t\t\t\tif rmse < best_score:\n",
        "\t\t\t\t\t\tbest_score, best_cfg = rmse, order\n",
        "\t\t\t\t\tprint('ARIMA%s RMSE=%.3f' % (order,rmse))\n",
        "\t\t\t\texcept:\n",
        "\t\t\t\t\tcontinue\n",
        "\tprint('Best ARIMA%s RMSE=%.3f' % (best_cfg, best_score))"
      ],
      "metadata": {
        "id": "yEADRgzEj-ln"
      },
      "execution_count": 48,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "p_values = range(0, 2)\n",
        "d_values = range(0, 2)\n",
        "q_values = range(0, 2)\n",
        "warnings.filterwarnings(\"ignore\")\n",
        "evaluate_models(ts.values, p_values, d_values, q_values)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_d8PcaVDkRPE",
        "outputId": "9f445628-5161-4416-d1a3-dbfac8b74f9f"
      },
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "ARIMA(0, 0, 0) RMSE=127.173\n",
            "ARIMA(0, 0, 1) RMSE=65.708\n",
            "ARIMA(0, 1, 0) RMSE=7.487\n",
            "ARIMA(0, 1, 1) RMSE=7.974\n",
            "ARIMA(1, 0, 0) RMSE=8.362\n",
            "ARIMA(1, 0, 1) RMSE=8.778\n",
            "ARIMA(1, 1, 0) RMSE=7.618\n",
            "ARIMA(1, 1, 1) RMSE=8.029\n",
            "Best ARIMA(0, 1, 0) RMSE=7.487\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Setelah dilakukan percobaan dengan model ARIMA(p,d,q) dengan:\n",
        "\n",
        "- orde p = 0 dan 1\n",
        "- orde d = 0 dan 1\n",
        "- orde q = 0 dan 1\n",
        "\n",
        "Diperoleh model yang menghasilkan RMSE terkecil adalah model ARIMA (0,1,0).\n",
        "\n",
        "Hal ini sesuai dengan plot ACF dan PACF yang dies down setelah lag ke-0 dan dataset telah mengalami 1x proses differencing."
      ],
      "metadata": {
        "id": "v8xIcBMC1VGW"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Informasi yang diperoleh dari pemodelan ARIMA(0,1,0) pada dataset\n",
        "results_ARIMA.summary()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 209
        },
        "id": "oobHtw01xoI-",
        "outputId": "ddc7c4c6-1e05-4c11-9004-fbbe1bd86bb2"
      },
      "execution_count": 55,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<class 'statsmodels.iolib.summary.Summary'>\n",
              "\"\"\"\n",
              "                             ARIMA Model Results                              \n",
              "==============================================================================\n",
              "Dep. Variable:                D.Close   No. Observations:                  172\n",
              "Model:                 ARIMA(0, 1, 0)   Log Likelihood                -662.748\n",
              "Method:                           css   S.D. of innovations             11.407\n",
              "Date:                Fri, 23 Dec 2022   AIC                           1329.496\n",
              "Time:                        15:31:30   BIC                           1335.791\n",
              "Sample:                             1   HQIC                          1332.050\n",
              "                                                                              \n",
              "==============================================================================\n",
              "                 coef    std err          z      P>|z|      [0.025      0.975]\n",
              "------------------------------------------------------------------------------\n",
              "const         -1.7093      0.870     -1.965      0.049      -3.414      -0.005\n",
              "==============================================================================\n",
              "\"\"\""
            ],
            "text/html": [
              "<table class=\"simpletable\">\n",
              "<caption>ARIMA Model Results</caption>\n",
              "<tr>\n",
              "  <th>Dep. Variable:</th>      <td>D.Close</td>     <th>  No. Observations:  </th>    <td>172</td>  \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Model:</th>          <td>ARIMA(0, 1, 0)</td>  <th>  Log Likelihood     </th> <td>-662.748</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Method:</th>               <td>css</td>       <th>  S.D. of innovations</th>  <td>11.407</td> \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Date:</th>          <td>Fri, 23 Dec 2022</td> <th>  AIC                </th> <td>1329.496</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Time:</th>              <td>15:31:30</td>     <th>  BIC                </th> <td>1335.791</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Sample:</th>                <td>1</td>        <th>  HQIC               </th> <td>1332.050</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th></th>                       <td> </td>        <th>                     </th>     <td> </td>   \n",
              "</tr>\n",
              "</table>\n",
              "<table class=\"simpletable\">\n",
              "<tr>\n",
              "    <td></td>       <th>coef</th>     <th>std err</th>      <th>z</th>      <th>P>|z|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>const</th> <td>   -1.7093</td> <td>    0.870</td> <td>   -1.965</td> <td> 0.049</td> <td>   -3.414</td> <td>   -0.005</td>\n",
              "</tr>\n",
              "</table>"
            ]
          },
          "metadata": {},
          "execution_count": 55
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Prediksi Data"
      ],
      "metadata": {
        "id": "Q8MypgHZuqLb"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Prediksi data dengan model ARIMA(0,1,0)",
        "predict_dif = results_ARIMA.predict(start=173,end=179)\n",
        "predictions_dif_cum_sum = predict_dif.cumsum()                   #prediksi differencingnya\n",
        "pred_ts = [ts[-1]]\n",
        "for i, j in enumerate(predictions_dif_cum_sum):                  #prediksi data aslinya\n",
        "  a = pred_ts[i] + j\n",
        "  pred_ts.append(a)\n",
        "predict = pd.Series(pred_ts[1:], index=predict_dif.index)\n",
        "print(predict)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7sOQmxOwEFQA",
        "outputId": "44ea6be7-48f0-4816-c183-66f267b5c47e"
      },
      "execution_count": 57,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "172    86.290698\n",
            "173    82.872093\n",
            "174    77.744186\n",
            "175    70.906977\n",
            "176    62.360465\n",
            "177    52.104651\n",
            "178    40.139535\n",
            "dtype: float64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Diperoleh hasil prediksi untuk Close nilai saham GOTO pada periode tanggal :\n",
        "- 23 Desember 2022 = 86.290698\n",
        "- 26 Desember 2022 = 82.872093\n",
        "- 27 Desember 2022 = 77.744186\n",
        "- 28 Desember 2022 = 70.906977\n",
        "- 29 Desember 2022 = 62.360465\n",
        "- 30 Desember 2022 = 52.104651\n",
        "- 01 Januari 2023 = 40.139535"
      ],
      "metadata": {
        "id": "B5knOylf2c5d"
      }
    }
  ]
}