364 lines
12 KiB
Python
364 lines
12 KiB
Python
import streamlit as st
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import os
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import mysql.connector
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import pandas as pd
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import plotly.express as px
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import seaborn as sns
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import matplotlib.pyplot as plt
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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 = "exploration" # Sesuaikan dengan halaman saat ini
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logo_path = os.path.join(os.path.dirname(__file__), "../asset/logo.png") # Sesuaikan path logo
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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=Prediksi" class="{ 'active' if st.session_state.page == 'Prediksi' else '' }">Prediksi</a>
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<a href="?page=exploration" class="{ 'active' if st.session_state.page == 'exploration' else '' }">Dashboard</a>
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<a href="?page=report" class="{ 'active' if st.session_state.page == 'report' else '' }">Laporan</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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def get_all_employee_data(filter_employee_id=None, filter_join_date=None):
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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 employee_id AS ID_Karyawan, domisili as Domisili, jenis_kelamin as Jenis_Kelamin,
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join_date as Tanggal_Masuk, resign_date as Tanggal_Keluar, marriage_stat as Status_Pernikahan,
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dependant as Jumlah_Tanggungan, education as Pendidikan, absent_90D as Absen_90Hari,
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avg_time_work as Rata_Rata_Jam_Kerja, departemen as Departemen, position as Posisi,
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income as Penghasilan, total_komp as Total_Komplain, job_satisfaction as Kepuasan_Kerja,
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performance_rating as Kinerja_Kerja
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FROM data_employee_db WHERE 1=1"""
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params = []
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if filter_employee_id:
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query += " AND employee_id LIKE %s"
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params.append(f"%{filter_employee_id}%")
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if filter_join_date:
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query += " AND join_date >= %s"
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params.append(filter_join_date)
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df = pd.read_sql(query, conn, params=params)
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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 get_joined_employee_data(filter_employee_id=None):
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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,
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e.comment AS Komplain,
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s.job_satisfaction AS Skor_Kepuasan_Kerja,
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s.performance_rating AS Skor_Kinerja_Kerja
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FROM employee_comments e
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INNER JOIN data_employee_db s ON e.employee_id = s.employee_id
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WHERE 1=1
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"""
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params = []
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if filter_employee_id:
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query += " AND e.employee_id LIKE %s"
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params.append(f"%{filter_employee_id}%")
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df = pd.read_sql(query, conn, params=params)
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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_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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Halaman Dashboard
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</h3>
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""", unsafe_allow_html=True
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)
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# Dropdown menu
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menu_option = st.selectbox(
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"Pilih Menu",
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["Lihat Semua Informasi Karyawan", "Lihat Data Komplain Karyawan"]
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)
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# Pilihan menu
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if menu_option == "Lihat Semua Informasi Karyawan":
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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 ID Karyawan", placeholder="Contoh: EM12345")
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with col2:
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filter_join_date = st.date_input("Filter berdasarkan Tanggal Masuk", value=None)
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df = get_all_employee_data(filter_employee_id, filter_join_date)
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if not df.empty:
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st.dataframe(df)
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csv = df.to_csv(index=False)
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st.download_button(
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label="Download Data sebagai CSV",
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data=csv,
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file_name="data_employee_db.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 di tabel data_employee_db.")
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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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<h4 style="text-align: center; font-family: 'Poppins', sans-serif;">
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Analisis Visual Distribusi Karyawan
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</h4>
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""", unsafe_allow_html=True
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)
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# Layout untuk dua grafik per baris
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col1, col2 = st.columns(2)
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with col1:
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st.markdown(
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"""
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<h6 style="text-align: center; font-family: 'Poppins', sans-serif;">
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Distribusi Karyawan Berdasarkan Status Pernikahan
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</h6>
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""", unsafe_allow_html=True
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)
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fig_marriage = px.histogram(
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df,
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x="Status_Pernikahan",
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labels={"Status_Pernikahan": "Status Pernikahan", "count": "Jumlah Karyawan"}
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)
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fig_marriage.update_layout(xaxis_title="Status Pernikahan", yaxis_title="Jumlah")
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st.plotly_chart(fig_marriage, use_container_width=True)
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with col2:
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st.markdown(
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"""
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<h6 style="text-align: center; font-family: 'Poppins', sans-serif;">
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Distribusi Karyawan Berdasarkan Pendidikan
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</h6>
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""", unsafe_allow_html=True
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)
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fig_education = px.histogram(
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df,
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x="Pendidikan",
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labels={"Pendidikan": "Pendidikan", "count": "Jumlah Karyawan"}
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)
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fig_education.update_layout(xaxis_title="Pendidikan", yaxis_title="Jumlah")
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st.plotly_chart(fig_education, use_container_width=True)
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col1, col2 = st.columns(2)
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with col1:
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st.markdown(
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"""
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<h6 style="text-align: center; font-family: 'Poppins', sans-serif;">
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Distribusi Karyawan Berdasarkan Domisili
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</h6>
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""", unsafe_allow_html=True
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)
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fig_domisili = px.histogram(
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df,
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x="Domisili",
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labels={"Domisili": "Domisili", "count": "Jumlah Karyawan"}
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)
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fig_domisili.update_layout(xaxis_title="Domisili", yaxis_title="Jumlah")
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st.plotly_chart(fig_domisili, use_container_width=True)
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with col2:
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st.markdown(
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"""
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<h6 style="text-align: center; font-family: 'Poppins', sans-serif;">
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Distribusi Karyawan Berdasarkan Departemen
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</h6>
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""", unsafe_allow_html=True
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)
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fig_department = px.histogram(
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df,
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x="Departemen",
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labels={"Departemen": "Departemen", "count": "Jumlah Karyawan"}
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)
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fig_department.update_layout(xaxis_title="Departemen", yaxis_title="Jumlah")
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st.plotly_chart(fig_department, use_container_width=True)
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elif menu_option == "Lihat Data Komplain Karyawan":
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filter_employee_id = st.text_input("Filter berdasarkan ID Karyawan", placeholder="Contoh: EM12345")
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df = get_joined_employee_data(filter_employee_id)
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if not df.empty:
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st.dataframe(df)
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# Tombol download
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csv = df.to_csv(index=False)
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st.download_button(
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label="Download Data sebagai CSV",
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data=csv,
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file_name="joined_employee_data.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 gabungan 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_exploration
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if __name__ == "__main__":
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show_exploration()
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