2110511008/python-sql-2110511008
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

design layout fix

Browse Source
This commit is contained in:
Jesselyn Mu
2025-02-01 12:36:28 +07:00
parent 49f1f93bd9
commit 84f08f24c6
9 changed files with 15417 additions and 8535 deletions
Download Patch File Download Diff File Expand all files Collapse all files

33
App.py
View File

@ -10,17 +10,13 @@ from pages.exploration import show_exploration
from pages.karyawan_komen import show_karyawan_komen from pages.karyawan_komen import show_karyawan_komen
from pages.pimpinan_exploration import show_pimpinan_exploration from pages.pimpinan_exploration import show_pimpinan_exploration
# Set konfigurasi halaman sebagai perintah pertama st.set_page_config(page_title="TALENTRA", layout="wide", initial_sidebar_state="collapsed")
st.set_page_config(page_title="Aplikasi Prediksi Retensi Karyawan", layout="wide", initial_sidebar_state="collapsed")
# Tambahkan direktori 'App' ke sys.path
sys.path.append(os.path.dirname(os.path.abspath(__file__))) sys.path.append(os.path.dirname(os.path.abspath(__file__)))
# Import halaman dari folder pages
import pages as pg import pages as pg
# Import halaman dari root directory from login import show_login
from login import show_login # Impor dari file login.py di root directory
parent_dir = os.path.dirname(os.path.abspath(__file__)) parent_dir = os.path.dirname(os.path.abspath(__file__))
logo_path = os.path.join(parent_dir, "asset/logo.png") logo_path = os.path.join(parent_dir, "asset/logo.png")
@ -51,7 +47,6 @@ st.markdown(
unsafe_allow_html=True, unsafe_allow_html=True,
) )
# CSS untuk mengubah warna latar belakang
background_style = """ background_style = """
<style> <style>
.stApp { .stApp {
@ -84,7 +79,6 @@ if "page" not in st.session_state:
else: else:
st.session_state.page = "Home" st.session_state.page = "Home"
# Tambahkan validasi login
if 'logged_in' in st.session_state and st.session_state['logged_in']: if 'logged_in' in st.session_state and st.session_state['logged_in']:
role = st.session_state.get('role', '').lower() role = st.session_state.get('role', '').lower()
role_pages = { role_pages = {
@ -112,8 +106,7 @@ def get_image_as_base64(image_path):
return base64.b64encode(img_file.read()).decode("utf-8") return base64.b64encode(img_file.read()).decode("utf-8")
def navbar_with_sidebar_control(pages, options, logo_path): def navbar_with_sidebar_control(pages, options, logo_path):
# Kontrol sidebar visibility if not options.get("show_sidebar", True):
if not options.get("show_sidebar", True): # Jika "show_sidebar" = False
st.markdown( st.markdown(
""" """
<style> <style>
@ -125,7 +118,6 @@ def navbar_with_sidebar_control(pages, options, logo_path):
unsafe_allow_html=True, unsafe_allow_html=True,
) )
# Render navbar
navbar_home() navbar_home()
def navbar_home(): def navbar_home():
@ -188,7 +180,7 @@ def navbar_home():
</div> </div>
<div class="nav-links"> <div class="nav-links">
<!-- Ganti teks "Home" dengan teks statis --> <!-- Ganti teks "Home" dengan teks statis -->
<span class="welcome-text">Selamat Datang di Aplikasi Prediksi Retensi Karyawan</span> <span class="welcome-text">Selamat Datang di TALENTRA</span>
</div> </div>
<a class="login-button" href="?page=Login">Login</a> <a class="login-button" href="?page=Login">Login</a>
</div> </div>
@ -196,13 +188,11 @@ def navbar_home():
unsafe_allow_html=True, unsafe_allow_html=True,
) )
# Atur Navbar dengan kontrol sidebar
options = { options = {
"show_menu": False, "show_menu": False,
"show_sidebar": False, # Ubah ke True jika ingin menampilkan sidebar "show_sidebar": False,
} }
# Atur Navbar dengan kontrol sidebar hanya untuk Home
if st.session_state.page == "Home": if st.session_state.page == "Home":
navbar_with_sidebar_control( navbar_with_sidebar_control(
pages=["Home", "Login"], pages=["Home", "Login"],
@ -210,24 +200,21 @@ if st.session_state.page == "Home":
logo_path=logo_path, logo_path=logo_path,
) )
# Deklarasi fungsi halaman
functions = { functions = {
"Home": pg.show_home, "Home": pg.show_home,
"Login": show_login, # Panggil fungsi show_login dari root directory "Login": show_login,
"admin": show_prediction, # Pastikan fungsi ini diimpor dan didefinisikan "admin": show_prediction,
"karyawan_form": show_karyawan_form, # Pastikan fungsi ini diimpor dan didefinisikan "karyawan_form": show_karyawan_form,
"pimpinan_form": show_pimpinan_form, "pimpinan_form": show_pimpinan_form,
"exploration": show_exploration, "exploration": show_exploration,
"Prediksi": show_prediction, # Tambahkan ini "Prediksi": show_prediction,
"report": show_report, # Tambahkan ini "report": show_report,
"karyawan_komen": show_karyawan_komen, "karyawan_komen": show_karyawan_komen,
"pimpinan_exploration": show_pimpinan_exploration "pimpinan_exploration": show_pimpinan_exploration
} }
query_params = st.query_params query_params = st.query_params
# Validasi query parameter
if "page" not in st.session_state: if "page" not in st.session_state:
query_params = st.query_params query_params = st.query_params
print("Query parameters (raw):", repr(query_params)) print("Query parameters (raw):", repr(query_params))

14182
X_train.csv
View File

File diff suppressed because it is too large Load Diff

BIN
asset/sitemap.png
View File

Binary file not shown.
Side by Side Swipe Overlay

Before

Width:  |  Height:  |  Size: 36 KiB

After

Width:  |  Height:  |  Size: 31 KiB

2
login.py
View File

@ -135,7 +135,7 @@ def show_login():
color: white; color: white;
font-family: 'Poppins', sans-serif; font-family: 'Poppins', sans-serif;
font-size: 16px; font-size: 16px;
font-weight: 600; font-weight: 1000;
border: none; border: none;
border-radius: 5px; border-radius: 5px;
padding: 10px; padding: 10px;

9241
notebook/preprocessed_data_train_1.csv Normal file
View File

File diff suppressed because it is too large Load Diff

201
notebook/train-rus.ipynb
View File

@ -6,194 +6,29 @@
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
"data": { "name": "stderr",
"text/html": [ "output_type": "stream",
"<div>\n", "text": [
"<style scoped>\n", "c:\\Users\\Jesselyn Mu\\anaconda3\\envs\\myenv\\lib\\site-packages\\numpy\\__init__.py:148: UserWarning: mkl-service package failed to import, therefore Intel(R) MKL initialization ensuring its correct out-of-the box operation under condition when Gnu OpenMP had already been loaded by Python process is not assured. Please install mkl-service package, see http://github.com/IntelPython/mkl-service\n",
" .dataframe tbody tr th:only-of-type {\n", " from . import _distributor_init\n"
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>employee_id</th>\n",
" <th>domisili</th>\n",
" <th>jenis_kelamin</th>\n",
" <th>date_of_birth</th>\n",
" <th>join_date</th>\n",
" <th>resign_date</th>\n",
" <th>marriage_stat</th>\n",
" <th>dependant</th>\n",
" <th>education</th>\n",
" <th>absent_90D</th>\n",
" <th>avg_time_work</th>\n",
" <th>departemen</th>\n",
" <th>position</th>\n",
" <th>income</th>\n",
" <th>total_komp</th>\n",
" <th>job_satisfaction</th>\n",
" <th>performance_rating</th>\n",
" <th>churn_status</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>EM0001</td>\n",
" <td>Kabupaten Bogor</td>\n",
" <td>Laki-laki</td>\n",
" <td>1970-09-10</td>\n",
" <td>2024-01-04</td>\n",
" <td>NaN</td>\n",
" <td>Married</td>\n",
" <td>2</td>\n",
" <td>S1</td>\n",
" <td>1.0</td>\n",
" <td>9.34</td>\n",
" <td>Engineering &amp; IT</td>\n",
" <td>Junior</td>\n",
" <td>5198046</td>\n",
" <td>NaN</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>EM0002</td>\n",
" <td>Kota Jakarta Selatan</td>\n",
" <td>Laki-laki</td>\n",
" <td>1980-12-09</td>\n",
" <td>2021-01-05</td>\n",
" <td>2023-04-22</td>\n",
" <td>Married</td>\n",
" <td>3</td>\n",
" <td>SLTA</td>\n",
" <td>11.0</td>\n",
" <td>9.86</td>\n",
" <td>Service &amp; Support</td>\n",
" <td>Staff</td>\n",
" <td>1281761</td>\n",
" <td>NaN</td>\n",
" <td>1</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>EM0003</td>\n",
" <td>Tangerang</td>\n",
" <td>Laki-laki</td>\n",
" <td>1987-04-25</td>\n",
" <td>2022-01-17</td>\n",
" <td>2024-01-31</td>\n",
" <td>Single</td>\n",
" <td>0</td>\n",
" <td>D2</td>\n",
" <td>3.0</td>\n",
" <td>9.66</td>\n",
" <td>Creative &amp; Design</td>\n",
" <td>Staff</td>\n",
" <td>4902208</td>\n",
" <td>NaN</td>\n",
" <td>1</td>\n",
" <td>3</td>\n",
" <td>1</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>EM0004</td>\n",
" <td>Kepulauan Seribu</td>\n",
" <td>Laki-laki</td>\n",
" <td>1975-12-24</td>\n",
" <td>2022-01-26</td>\n",
" <td>NaN</td>\n",
" <td>Married</td>\n",
" <td>1</td>\n",
" <td>S1</td>\n",
" <td>1.0</td>\n",
" <td>9.54</td>\n",
" <td>Marketing</td>\n",
" <td>Junior</td>\n",
" <td>6410492</td>\n",
" <td>NaN</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>EM0005</td>\n",
" <td>Kota Jakarta Utara</td>\n",
" <td>Laki-laki</td>\n",
" <td>1987-06-15</td>\n",
" <td>2022-01-31</td>\n",
" <td>2023-02-21</td>\n",
" <td>Single</td>\n",
" <td>0</td>\n",
" <td>SLTA</td>\n",
" <td>1.0</td>\n",
" <td>9.14</td>\n",
" <td>Operations</td>\n",
" <td>Staff</td>\n",
" <td>1208627</td>\n",
" <td>NaN</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>1</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" employee_id domisili jenis_kelamin date_of_birth join_date \\\n",
"0 EM0001 Kabupaten Bogor Laki-laki 1970-09-10 2024-01-04 \n",
"1 EM0002 Kota Jakarta Selatan Laki-laki 1980-12-09 2021-01-05 \n",
"2 EM0003 Tangerang Laki-laki 1987-04-25 2022-01-17 \n",
"3 EM0004 Kepulauan Seribu Laki-laki 1975-12-24 2022-01-26 \n",
"4 EM0005 Kota Jakarta Utara Laki-laki 1987-06-15 2022-01-31 \n",
"\n",
" resign_date marriage_stat dependant education absent_90D avg_time_work \\\n",
"0 NaN Married 2 S1 1.0 9.34 \n",
"1 2023-04-22 Married 3 SLTA 11.0 9.86 \n",
"2 2024-01-31 Single 0 D2 3.0 9.66 \n",
"3 NaN Married 1 S1 1.0 9.54 \n",
"4 2023-02-21 Single 0 SLTA 1.0 9.14 \n",
"\n",
" departemen position income total_komp job_satisfaction \\\n",
"0 Engineering & IT Junior 5198046 NaN 2 \n",
"1 Service & Support Staff 1281761 NaN 1 \n",
"2 Creative & Design Staff 4902208 NaN 1 \n",
"3 Marketing Junior 6410492 NaN 2 \n",
"4 Operations Staff 1208627 NaN 2 \n",
"\n",
" performance_rating churn_status \n",
"0 2 0 \n",
"1 2 1 \n",
"2 3 1 \n",
"3 1 0 \n",
"4 2 1 "
] ]
}, },
"execution_count": 1, {
"metadata": {}, "ename": "ImportError",
"output_type": "execute_result" "evalue": "Unable to import required dependencies:\nnumpy: \n\nIMPORTANT: PLEASE READ THIS FOR ADVICE ON HOW TO SOLVE THIS ISSUE!\n\nImporting the numpy C-extensions failed. This error can happen for\nmany reasons, often due to issues with your setup or how NumPy was\ninstalled.\n\nWe have compiled some common reasons and troubleshooting tips at:\n\n https://numpy.org/devdocs/user/troubleshooting-importerror.html\n\nPlease note and check the following:\n\n * The Python version is: Python3.10 from \"c:\\Users\\Jesselyn Mu\\anaconda3\\envs\\myenv\\python.exe\"\n * The NumPy version is: \"1.21.5\"\n\nand make sure that they are the versions you expect.\nPlease carefully study the documentation linked above for further help.\n\nOriginal error was: No module named 'numpy.core._multiarray_umath'\n",
"output_type": "error",
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[1;31mImportError\u001b[0m Traceback (most recent call last)",
"Cell \u001b[1;32mIn[1], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mpandas\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mas\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mpd\u001b[39;00m\n\u001b[0;32m 2\u001b[0m data \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mread_csv(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mD:\u001b[39m\u001b[38;5;124m\\\u001b[39m\u001b[38;5;124mTugas Akhir\u001b[39m\u001b[38;5;124m\\\u001b[39m\u001b[38;5;124mCodingan\u001b[39m\u001b[38;5;124m\\\u001b[39m\u001b[38;5;124mDevelopment\u001b[39m\u001b[38;5;124m\\\u001b[39m\u001b[38;5;124mApp\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124motebook\u001b[39m\u001b[38;5;124m\\\u001b[39m\u001b[38;5;124mpreprocessed_data_train_1.csv\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m 3\u001b[0m data\u001b[38;5;241m.\u001b[39mhead()\n",
"File \u001b[1;32mc:\\Users\\Jesselyn Mu\\anaconda3\\envs\\myenv\\lib\\site-packages\\pandas\\__init__.py:16\u001b[0m\n\u001b[0;32m 13\u001b[0m missing_dependencies\u001b[38;5;241m.\u001b[39mappend(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mdependency\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00me\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 15\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m missing_dependencies:\n\u001b[1;32m---> 16\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mImportError\u001b[39;00m(\n\u001b[0;32m 17\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mUnable to import required dependencies:\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mjoin(missing_dependencies)\n\u001b[0;32m 18\u001b[0m )\n\u001b[0;32m 19\u001b[0m \u001b[38;5;28;01mdel\u001b[39;00m hard_dependencies, dependency, missing_dependencies\n\u001b[0;32m 21\u001b[0m \u001b[38;5;66;03m# numpy compat\u001b[39;00m\n",
"\u001b[1;31mImportError\u001b[0m: Unable to import required dependencies:\nnumpy: \n\nIMPORTANT: PLEASE READ THIS FOR ADVICE ON HOW TO SOLVE THIS ISSUE!\n\nImporting the numpy C-extensions failed. This error can happen for\nmany reasons, often due to issues with your setup or how NumPy was\ninstalled.\n\nWe have compiled some common reasons and troubleshooting tips at:\n\n https://numpy.org/devdocs/user/troubleshooting-importerror.html\n\nPlease note and check the following:\n\n * The Python version is: Python3.10 from \"c:\\Users\\Jesselyn Mu\\anaconda3\\envs\\myenv\\python.exe\"\n * The NumPy version is: \"1.21.5\"\n\nand make sure that they are the versions you expect.\nPlease carefully study the documentation linked above for further help.\n\nOriginal error was: No module named 'numpy.core._multiarray_umath'\n"
]
} }
], ],
"source": [ "source": [
"import pandas as pd\n", "import pandas as pd\n",
"data = pd.read_csv('D:\\Tugas Akhir\\Codingan\\Development\\Data\\data_train.csv')\n", "data = pd.read_csv('D:\\Tugas Akhir\\Codingan\\Development\\App\\notebook\\preprocessed_data_train_1.csv')\n",
"data.head()" "data.head()"
] ]
}, },
@ -5375,7 +5210,7 @@
"name": "python", "name": "python",
"nbconvert_exporter": "python", "nbconvert_exporter": "python",
"pygments_lexer": "ipython3", "pygments_lexer": "ipython3",
"version": "3.9.18" "version": "3.10.16"
} }
}, },
"nbformat": 4, "nbformat": 4,

234
notebook/train_regression.ipynb
View File

@ -23,224 +23,24 @@
}, },
"outputs": [ "outputs": [
{ {
"data": { "name": "stderr",
"text/html": [ "output_type": "stream",
"<div>\n", "text": [
"<style scoped>\n", "c:\\Users\\Jesselyn Mu\\anaconda3\\envs\\myenv\\lib\\site-packages\\numpy\\__init__.py:148: UserWarning: mkl-service package failed to import, therefore Intel(R) MKL initialization ensuring its correct out-of-the box operation under condition when Gnu OpenMP had already been loaded by Python process is not assured. Please install mkl-service package, see http://github.com/IntelPython/mkl-service\n",
" .dataframe tbody tr th:only-of-type {\n", " from . import _distributor_init\n"
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>employee_id</th>\n",
" <th>domisili</th>\n",
" <th>jenis_kelamin</th>\n",
" <th>date_of_birth</th>\n",
" <th>join_date</th>\n",
" <th>resign_date</th>\n",
" <th>marriage_stat</th>\n",
" <th>dependant</th>\n",
" <th>education</th>\n",
" <th>absent_90D</th>\n",
" <th>...</th>\n",
" <th>active_work_category</th>\n",
" <th>work_stability_score</th>\n",
" <th>married_dependent_ratio</th>\n",
" <th>position_score</th>\n",
" <th>job_income_position_score</th>\n",
" <th>education_score</th>\n",
" <th>education_income_ratio</th>\n",
" <th>weighted_satisfaction_performance</th>\n",
" <th>resign_risk_indicator</th>\n",
" <th>adjusted_work_time</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>EM0001</td>\n",
" <td>Kabupaten Bogor</td>\n",
" <td>Laki-laki</td>\n",
" <td>1970-09-10</td>\n",
" <td>2024-01-04</td>\n",
" <td>2024-10-31</td>\n",
" <td>Married</td>\n",
" <td>2</td>\n",
" <td>S1</td>\n",
" <td>1.0</td>\n",
" <td>...</td>\n",
" <td>Short-term</td>\n",
" <td>5.00</td>\n",
" <td>3</td>\n",
" <td>2</td>\n",
" <td>2599023.0</td>\n",
" <td>5</td>\n",
" <td>1.039609e+06</td>\n",
" <td>2.0</td>\n",
" <td>Medium</td>\n",
" <td>9.329634</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>EM0002</td>\n",
" <td>Kota Jakarta Selatan</td>\n",
" <td>Laki-laki</td>\n",
" <td>1980-12-09</td>\n",
" <td>2021-01-05</td>\n",
" <td>2023-04-22</td>\n",
" <td>Married</td>\n",
" <td>3</td>\n",
" <td>SLTA</td>\n",
" <td>11.0</td>\n",
" <td>...</td>\n",
" <td>Mid-term</td>\n",
" <td>2.25</td>\n",
" <td>4</td>\n",
" <td>1</td>\n",
" <td>1281761.0</td>\n",
" <td>1</td>\n",
" <td>1.281761e+06</td>\n",
" <td>1.4</td>\n",
" <td>Medium</td>\n",
" <td>9.815385</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>EM0003</td>\n",
" <td>Tangerang</td>\n",
" <td>Laki-laki</td>\n",
" <td>1987-04-25</td>\n",
" <td>2022-01-17</td>\n",
" <td>2024-01-31</td>\n",
" <td>Single</td>\n",
" <td>0</td>\n",
" <td>D2</td>\n",
" <td>3.0</td>\n",
" <td>...</td>\n",
" <td>Mid-term</td>\n",
" <td>6.00</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>4902208.0</td>\n",
" <td>3</td>\n",
" <td>1.634069e+06</td>\n",
" <td>1.8</td>\n",
" <td>Medium</td>\n",
" <td>9.646590</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>EM0004</td>\n",
" <td>Kepulauan Seribu</td>\n",
" <td>Laki-laki</td>\n",
" <td>1975-12-24</td>\n",
" <td>2022-01-26</td>\n",
" <td>2024-10-31</td>\n",
" <td>Married</td>\n",
" <td>1</td>\n",
" <td>S1</td>\n",
" <td>1.0</td>\n",
" <td>...</td>\n",
" <td>Mid-term</td>\n",
" <td>16.50</td>\n",
" <td>2</td>\n",
" <td>2</td>\n",
" <td>3205246.0</td>\n",
" <td>5</td>\n",
" <td>1.282098e+06</td>\n",
" <td>1.6</td>\n",
" <td>Medium</td>\n",
" <td>9.536789</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>EM0005</td>\n",
" <td>Kota Jakarta Utara</td>\n",
" <td>Laki-laki</td>\n",
" <td>1987-06-15</td>\n",
" <td>2022-01-31</td>\n",
" <td>2023-02-21</td>\n",
" <td>Single</td>\n",
" <td>0</td>\n",
" <td>SLTA</td>\n",
" <td>1.0</td>\n",
" <td>...</td>\n",
" <td>Mid-term</td>\n",
" <td>6.00</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>1208627.0</td>\n",
" <td>1</td>\n",
" <td>1.208627e+06</td>\n",
" <td>2.0</td>\n",
" <td>Medium</td>\n",
" <td>9.131545</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>5 rows × 37 columns</p>\n",
"</div>"
],
"text/plain": [
" employee_id domisili jenis_kelamin date_of_birth join_date \\\n",
"0 EM0001 Kabupaten Bogor Laki-laki 1970-09-10 2024-01-04 \n",
"1 EM0002 Kota Jakarta Selatan Laki-laki 1980-12-09 2021-01-05 \n",
"2 EM0003 Tangerang Laki-laki 1987-04-25 2022-01-17 \n",
"3 EM0004 Kepulauan Seribu Laki-laki 1975-12-24 2022-01-26 \n",
"4 EM0005 Kota Jakarta Utara Laki-laki 1987-06-15 2022-01-31 \n",
"\n",
" resign_date marriage_stat dependant education absent_90D ... \\\n",
"0 2024-10-31 Married 2 S1 1.0 ... \n",
"1 2023-04-22 Married 3 SLTA 11.0 ... \n",
"2 2024-01-31 Single 0 D2 3.0 ... \n",
"3 2024-10-31 Married 1 S1 1.0 ... \n",
"4 2023-02-21 Single 0 SLTA 1.0 ... \n",
"\n",
" active_work_category work_stability_score married_dependent_ratio \\\n",
"0 Short-term 5.00 3 \n",
"1 Mid-term 2.25 4 \n",
"2 Mid-term 6.00 1 \n",
"3 Mid-term 16.50 2 \n",
"4 Mid-term 6.00 1 \n",
"\n",
" position_score job_income_position_score education_score \\\n",
"0 2 2599023.0 5 \n",
"1 1 1281761.0 1 \n",
"2 1 4902208.0 3 \n",
"3 2 3205246.0 5 \n",
"4 1 1208627.0 1 \n",
"\n",
" education_income_ratio weighted_satisfaction_performance \\\n",
"0 1.039609e+06 2.0 \n",
"1 1.281761e+06 1.4 \n",
"2 1.634069e+06 1.8 \n",
"3 1.282098e+06 1.6 \n",
"4 1.208627e+06 2.0 \n",
"\n",
" resign_risk_indicator adjusted_work_time \n",
"0 Medium 9.329634 \n",
"1 Medium 9.815385 \n",
"2 Medium 9.646590 \n",
"3 Medium 9.536789 \n",
"4 Medium 9.131545 \n",
"\n",
"[5 rows x 37 columns]"
] ]
}, },
"execution_count": 1, {
"metadata": {}, "ename": "ImportError",
"output_type": "execute_result" "evalue": "Unable to import required dependencies:\nnumpy: \n\nIMPORTANT: PLEASE READ THIS FOR ADVICE ON HOW TO SOLVE THIS ISSUE!\n\nImporting the numpy C-extensions failed. This error can happen for\nmany reasons, often due to issues with your setup or how NumPy was\ninstalled.\n\nWe have compiled some common reasons and troubleshooting tips at:\n\n https://numpy.org/devdocs/user/troubleshooting-importerror.html\n\nPlease note and check the following:\n\n * The Python version is: Python3.10 from \"c:\\Users\\Jesselyn Mu\\anaconda3\\envs\\myenv\\python.exe\"\n * The NumPy version is: \"1.21.5\"\n\nand make sure that they are the versions you expect.\nPlease carefully study the documentation linked above for further help.\n\nOriginal error was: No module named 'numpy.core._multiarray_umath'\n",
"output_type": "error",
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[1;31mImportError\u001b[0m Traceback (most recent call last)",
"Cell \u001b[1;32mIn[1], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mpandas\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mas\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mpd\u001b[39;00m\n\u001b[0;32m 3\u001b[0m df \u001b[38;5;241m=\u001b[39m pd\u001b[38;5;241m.\u001b[39mread_csv(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mD:\u001b[39m\u001b[38;5;124m\\\u001b[39m\u001b[38;5;124mTugas Akhir\u001b[39m\u001b[38;5;124m\\\u001b[39m\u001b[38;5;124mCodingan\u001b[39m\u001b[38;5;124m\\\u001b[39m\u001b[38;5;124mDevelopment\u001b[39m\u001b[38;5;124m\\\u001b[39m\u001b[38;5;124mData\u001b[39m\u001b[38;5;124m\\\u001b[39m\u001b[38;5;124mpreprocessed_data_train.csv\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[0;32m 4\u001b[0m df\u001b[38;5;241m.\u001b[39mhead()\n",
"File \u001b[1;32mc:\\Users\\Jesselyn Mu\\anaconda3\\envs\\myenv\\lib\\site-packages\\pandas\\__init__.py:16\u001b[0m\n\u001b[0;32m 13\u001b[0m missing_dependencies\u001b[38;5;241m.\u001b[39mappend(\u001b[38;5;124mf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mdependency\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m: \u001b[39m\u001b[38;5;132;01m{\u001b[39;00me\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 15\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m missing_dependencies:\n\u001b[1;32m---> 16\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mImportError\u001b[39;00m(\n\u001b[0;32m 17\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mUnable to import required dependencies:\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;130;01m\\n\u001b[39;00m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mjoin(missing_dependencies)\n\u001b[0;32m 18\u001b[0m )\n\u001b[0;32m 19\u001b[0m \u001b[38;5;28;01mdel\u001b[39;00m hard_dependencies, dependency, missing_dependencies\n\u001b[0;32m 21\u001b[0m \u001b[38;5;66;03m# numpy compat\u001b[39;00m\n",
"\u001b[1;31mImportError\u001b[0m: Unable to import required dependencies:\nnumpy: \n\nIMPORTANT: PLEASE READ THIS FOR ADVICE ON HOW TO SOLVE THIS ISSUE!\n\nImporting the numpy C-extensions failed. This error can happen for\nmany reasons, often due to issues with your setup or how NumPy was\ninstalled.\n\nWe have compiled some common reasons and troubleshooting tips at:\n\n https://numpy.org/devdocs/user/troubleshooting-importerror.html\n\nPlease note and check the following:\n\n * The Python version is: Python3.10 from \"c:\\Users\\Jesselyn Mu\\anaconda3\\envs\\myenv\\python.exe\"\n * The NumPy version is: \"1.21.5\"\n\nand make sure that they are the versions you expect.\nPlease carefully study the documentation linked above for further help.\n\nOriginal error was: No module named 'numpy.core._multiarray_umath'\n"
]
} }
], ],
"source": [ "source": [
@ -2199,7 +1999,7 @@
"name": "python", "name": "python",
"nbconvert_exporter": "python", "nbconvert_exporter": "python",
"pygments_lexer": "ipython3", "pygments_lexer": "ipython3",
"version": "3.9.18" "version": "3.10.16"
} }
}, },
"nbformat": 4, "nbformat": 4,

17
pages/home.py
View File

@ -241,11 +241,13 @@ def show_home():
<div class="text-content"> <div class="text-content">
<h2 class="section-title">Bagian Aplikasi</h2> <h2 class="section-title">Bagian Aplikasi</h2>
<p style="text-align: justify;"> <p style="text-align: justify;">
Aplikasi ini dirancang untuk mendukung prediksi retensi karyawan dan pengelolaan data dengan fitur-fitur yang terstruktur berdasarkan peran pengguna. Aplikasi ini dirancang untuk mendukung prediksi retensi karyawan dan pengelolaan data
Halaman login menjadi pintu masuk utama untuk autentikasi, setelah itu pengguna diarahkan ke halaman sesuai perannya: admin, karyawan, atau pimpinan. dengan fitur-fitur yang terstruktur berdasarkan peran pengguna.
Admin memiliki akses ke halaman prediksi untuk analisis data, dashboard untuk memantau statistik, dan halaman laporan untuk melihat detail data. Dimulai dari Halaman Utama, pengguna diarahkan ke Halaman Login,
Karyawan dapat mengisi form kepuasan kerja untuk memberikan umpan balik terkait pengalaman mereka. yang kemudian membagi akses berdasarkan peran: Admin, Karyawan, dan Pimpinan.
Sementara itu, pimpinan dapat menggunakan dashboard untuk melihat data strategis serta mengisi form penilaian kinerja guna mengevaluasi performa karyawan. Admin memiliki akses ke Halaman Prediksi, Halaman Dashboard, dan Halaman Laporan untuk mengelola data dan analisis.
Karyawan dapat mengisi Form Kepuasan Kerja dan Form Komplain untuk memberikan feedback dan keluhan.
Pimpinan memiliki akses ke Form Penilaian untuk evaluasi serta Halaman Dashboard untuk melihat data yang relevan.
Aplikasi ini dirancang untuk mempermudah pengelolaan dan pengambilan keputusan berbasis data. Aplikasi ini dirancang untuk mempermudah pengelolaan dan pengambilan keputusan berbasis data.
</p> </p>
</div> </div>
@ -254,7 +256,6 @@ def show_home():
unsafe_allow_html=True unsafe_allow_html=True
) )
# Berita dan Informasi
st.markdown( st.markdown(
f""" f"""
<div class="news-section"> <div class="news-section">
@ -274,7 +275,6 @@ def show_home():
unsafe_allow_html=True unsafe_allow_html=True
) )
# Footer
st.markdown( st.markdown(
""" """
<div class="footer"> <div class="footer">
@ -285,13 +285,10 @@ def show_home():
unsafe_allow_html=True unsafe_allow_html=True
) )
def get_image_as_base64(image_path): def get_image_as_base64(image_path):
import base64 import base64
with open(image_path, "rb") as img_file: with open(image_path, "rb") as img_file:
return base64.b64encode(img_file.read()).decode("utf-8") return base64.b64encode(img_file.read()).decode("utf-8")
# Jalankan aplikasi
if __name__ == "__main__": if __name__ == "__main__":
show_home() show_home()

34
pages/prediction.py
View File

@ -462,41 +462,7 @@ def show_prediction():
col1, col2 = st.columns([1.5, 2]) # **Kolom pertama untuk grafik, kolom kedua untuk penjelasan** col1, col2 = st.columns([1.5, 2]) # **Kolom pertama untuk grafik, kolom kedua untuk penjelasan**
with col1: with col1:
# st.image(buf, caption="SHAP Waterfall Plot", use_container_width=True)
# Tambahkan CSS styling ke HTML
st.markdown(
"""
<style>
.shap-container {
display: flex;
justify-content: center;
align-items: center;
margin-top: 10px;
}
.shap-image {
border-radius: 10px; /* Sudut membulat */
box-shadow: 4px 4px 10px rgba(0, 0, 0, 0.2); /* Shadow */
border: 2px solid #ddd; /* Stroke */
padding: 5px; /* Ruang di dalam border */
background: white; /* Biar keliatan efeknya */
max-width: 100%; /* Biar responsif */
}
.shap-caption {
text-align: center;
font-size: 14px;
font-family: 'Poppins', sans-serif;
color: #555;
margin-top: 5px;
}
</style>
""",
unsafe_allow_html=True
)
# Gunakan `st.image()` untuk menampilkan gambar SHAP dari `buf`
st.markdown('<div class="shap-container">', unsafe_allow_html=True)
st.image(buf, caption="SHAP Waterfall Plot", use_container_width=True) st.image(buf, caption="SHAP Waterfall Plot", use_container_width=True)
st.markdown('</div>', unsafe_allow_html=True)
with col2: with col2:
top_factors = sorted(shap_dict.items(), key=lambda x: abs(x[1]), reverse=True)[:5] top_factors = sorted(shap_dict.items(), key=lambda x: abs(x[1]), reverse=True)[:5]