277 lines
9.1 KiB
Python
277 lines
9.1 KiB
Python
import streamlit as st
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import os
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import pandas as pd
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import mysql.connector
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# Fungsi untuk mendapatkan gambar sebagai base64
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def get_image_as_base64(image_path):
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import base64
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with open(image_path, "rb") as img_file:
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return base64.b64encode(img_file.read()).decode("utf-8")
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# Fungsi untuk menampilkan navbar
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def navbar():
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current_page = st.session_state.get("page", "Home")
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logo_path = os.path.join(os.path.dirname(__file__), "../asset/logo.png")
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# Cek status login
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if 'logged_in' in st.session_state and st.session_state['logged_in']:
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login_button_text = "Logout"
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login_button_link = "?page=Login&logout=true" # Tambahkan parameter logout
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else:
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login_button_text = "Logout"
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login_button_link = "?page=Login"
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st.markdown(
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f"""
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<style>
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.navbar {{
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display: flex;
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align-items: center;
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justify-content: space-between;
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padding: 10px 20px;
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font-family: 'Poppins', sans-serif;
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margin-top: 20px; /* Hilangkan jarak atas */
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background-color: #D0EEFF; /* Background navbar */
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border-radius: 15px; /* Membulatkan sudut navbar */
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}}
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.navbar .logo {{
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display: flex;
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align-items: center;
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}}
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.navbar .logo img {{
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height: 40px;
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margin-right: 10px;
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}}
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.navbar .nav-links {{
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display: flex;
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gap: 60px;
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}}
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.navbar .nav-links a {{
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color: black;
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text-decoration: none;
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font-size: 16px;
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font-weight: bold;
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}}
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.navbar .nav-links a:hover {{
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color: royalblue;
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}}
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.navbar .nav-links a.active {{
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color: #264CBE; /* Warna saat aktif */
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text-decoration: underline; /* Garis bawah saat aktif */
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}}
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.navbar .login-button {{
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background-color: #264CBE;
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color: white;
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border: none;
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padding: 8px 15px;
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border-radius: 5px;
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font-size: 16px;
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font-weight: bold;
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cursor: pointer;
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text-decoration: none;
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}}
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.navbar .login-button:hover {{
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background-color: white;
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color: #264CBE;
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}}
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</style>
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<div class="navbar">
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<div class="logo">
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<img src="data:image/png;base64,{get_image_as_base64(logo_path)}" alt="Logo">
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</div>
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<div class="nav-links">
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<a href="?page=pimpinan_form" class="{ 'active' if st.session_state.page == 'pimpinan_form' else '' }">Form Penilaian</a>
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<a href="?page=pimpinan_exploration" class="{ 'active' if st.session_state.page == 'pimpinan_exploration' else '' }">Dashboard</a>
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</div>
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<a class="login-button" href="{login_button_link}">{login_button_text}</a>
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</div>
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""",
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unsafe_allow_html=True,
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)
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def connect_to_db():
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try:
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conn = mysql.connector.connect(
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host=st.secrets["mysql"]["host"],
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user=st.secrets["mysql"]["user"],
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password=st.secrets["mysql"]["password"],
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database=st.secrets["mysql"]["dbname"],
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port=st.secrets["mysql"]["port"]
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)
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return conn
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except mysql.connector.Error as e:
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st.error(f"Koneksi ke database gagal: {e}")
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return None
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# Fungsi untuk mendapatkan data "All Data + Komentar"
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def get_all_data_with_comments():
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conn = connect_to_db()
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if conn:
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try:
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query = """
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SELECT
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e.employee_id AS ID_Karyawan, e.domisili as Domisili, e.jenis_kelamin as Jenis_Kelamin,
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e.join_date as Tanggal_Masuk, e.resign_date as Tanggal_Keluar, e.marriage_stat as Status_Pernikahan,
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e.dependant as Jumlah_Tanggungan, e.education as Pendidikan, e.absent_90D as Absen_90Hari,
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e.avg_time_work as Rata_Rata_Jam_Kerja, e.departemen as Departemen, e.position as Posisi,
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e.income as Penghasilan, e.total_komp as Total_Komplain, e.job_satisfaction as Kepuasan_Kerja,
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e.performance_rating as Kinerja_Kerja,
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IFNULL(c.comment, 'Tidak ada Komplain') AS Isi_Komentar
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FROM data_employee_db e
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LEFT JOIN employee_comments c ON e.employee_id = c.employee_id
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"""
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df = pd.read_sql(query, conn)
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return df
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except mysql.connector.Error as e:
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st.error(f"Terjadi kesalahan saat mengambil data: {e}")
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return pd.DataFrame()
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finally:
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conn.close()
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# Fungsi untuk mendapatkan data "History Prediksi"
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def get_history_prediction():
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conn = connect_to_db()
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if conn:
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try:
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query = """SELECT employee_id as ID_Karyawan, hasil_prediksi_klasifikasi as Hasil_Prediksi_Retensi,
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hasil_prediksi_regresi as Hasil_Prediksi_Lama_Kerja, waktu_prediksi as Waktu_Prediksi
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FROM history_prediction"""
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df = pd.read_sql(query, conn)
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return df
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except mysql.connector.Error as e:
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st.error(f"Terjadi kesalahan saat mengambil data: {e}")
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return pd.DataFrame()
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finally:
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conn.close()
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def show_pimpinan_exploration():
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navbar()
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st.markdown("""
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<style>
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.stDownloadButton > button {
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background-color: #264CBE;
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color: white;
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font-family: 'Poppins', sans-serif;
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font-size: 16px;
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font-weight: 600;
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border: none;
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border-radius: 5px;
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padding: 10px;
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cursor: pointer;
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margin-top: 20px;
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width: 100%;
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}
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.stDownloadButton > button:hover {
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background-color: #ffffff;
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color: #264CBE;
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}
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/* Footer */
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.footer {
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width: 100%;
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background-color: #D0EEFF;
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padding: 20px !important;
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text-align: center;
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font-family: 'Poppins', sans-serif;
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border-radius: 10px;
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margin-top: 50px !important;
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}
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.footer p {
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margin: 5px 0;
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font-size: 14px;
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color: #333333;
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}
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</style>
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""", unsafe_allow_html=True)
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st.markdown(
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"""
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<link href="https://fonts.googleapis.com/css2?family=Poppins:wght@400;600&display=swap" rel="stylesheet">
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<h3 style="text-align: center; font-family: 'Poppins', sans-serif;">
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Dashboard
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</h3>
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""", unsafe_allow_html=True
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)
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# Menu Dropdown
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menu_option = st.selectbox(
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"Pilih data yang ingin ditampilkan:",
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["Semua Data Karyawan", "Histori Prediksi"]
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)
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col1, col2 = st.columns(2)
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with col1:
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filter_employee_id = st.text_input("Filter berdasarkan Karyawan_ID", placeholder="Contoh: EM12345")
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with col2:
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filter_departemen = st.selectbox(
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"Filter berdasarkan Departemen",
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["Semua", "Engineering & IT", "Service & Support", "Creative & Design",
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"Marketing", "Operations", "HR", "Finance & Accounting",
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"Corporate Strategy & Communications"]
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)
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if menu_option == "Semua Data Karyawan":
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df = get_all_data_with_comments()
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if not df.empty:
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# Terapkan filter
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if filter_employee_id:
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df = df[df['Karyawan_ID'].str.contains(filter_employee_id, na=False)]
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if filter_departemen != "Semua":
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df = df[df['Departemen'] == filter_departemen]
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# Tampilkan data
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st.dataframe(df)
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# Tombol untuk download CSV
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csv = df.to_csv(index=False)
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st.download_button(
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label="Download Tabel sebagai CSV",
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data=csv,
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file_name="all_data_with_comments.csv",
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mime="text/csv",
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)
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else:
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st.write("Tidak ada data yang tersedia.")
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elif menu_option == "Histori Prediksi":
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df = get_history_prediction()
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if not df.empty:
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# Terapkan filter
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if filter_employee_id:
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df = df[df['Karyawan_ID'].str.contains(filter_employee_id, na=False)]
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# Tampilkan data
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st.dataframe(df)
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# Tombol untuk download CSV
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csv = df.to_csv(index=False)
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st.download_button(
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label="Download Tabel sebagai CSV",
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data=csv,
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file_name="history_prediction.csv",
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mime="text/csv",
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)
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else:
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st.write("Tidak ada data yang tersedia.")
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# Footer
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st.markdown(
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"""
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<div class="footer">
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<p><strong>2025 © Jesselyn Mu</strong></p>
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<p>Untuk informasi lebih lanjut, dapat mengirim email ke mujesselyn@gmail.com</p>
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</div>
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""",
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unsafe_allow_html=True
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)
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# Jalankan fungsi show_pimpinan_exploration
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if __name__ == "__main__":
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show_pimpinan_exploration()
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