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All Journal Coding: Jurnal Komputer dan Aplikasi Jurnal Saintifik
Umar Fakhrudin, Mohammad
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KONTRIBUSI PENDAPATAN USAHA TOKO KELONTONG TERHADAP TOTAL PENDAPATAN KELUARGA di DESA SINGKUP, KECAMATAN PASAWAHAN – KABUPATEN KUNINGAN Akbari, Safitri; Suwandi, Suwandi; Turini, Turini; Eka Septian, Willy; Umar Fakhrudin, Mohammad
Jurnal Saintifik (Multi Science Journal) Vol 22 No 1 (2024): JANUARI
Publisher : Fakultas Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58222/js.v22i1.218

Abstract

Singkup Village. Pasawahan District – Kuningan Regency is a Village Fostered by the Academic Community of Catur Insan Cendekia University, Cirebon City. The purpose of this study was to conduct an assessment of how big the contribution of grocery shop business income is to total income in Singkup Village, Pasawahan District - Cirebon Regency. The research method that the authors use in this research is descriptive method. The population in this study were 42 heads of families, this research was a population study. Data collection techniques used in this study are observation, interviews, and documentation. The collected data is then analysed in tabular form (percentage). The results of this study indicate that: (1) the main occupation of the head of the Singkup Village family is as a farmer, construction worker, teacher, breeder, driver and private employee, (2) the average main income of the head of the Singkup Village family is Rp. 2,703,500 per month, (3) the average profit from the grocery shop business is Rp. 1,763,000.- per month, (4) the average percentage contribution of grocery shop business income to total family income is 39.47%. The contribution resulting from this research is to add insight to lecturers and students according to their field of knowledge, the campus has provided an analysis of the income contribution of grocery stalls in the Foster Village, especially those who have a grocery shop business in Singkup Village. The novelty of this research is the author's suggestion to grocery shop entrepreneurs to be able to increase their business income.
Optimasi Support Vector Regression Menggunakan Grey Wolf Optimization untuk Prediksi Pendapatan Retribusi Parkir Valentino, Fernando; Magdalena, Lena; Umar Fakhrudin, Mohammad
Coding: Jurnal Komputer dan Aplikasi Vol. 14 No. 2 (2026): Edisi September 2026
Publisher : Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/coding.v14i2.111454

Abstract

Pendapatan retribusi parkir harian memiliki karakteristik yang dinamis akibat perbedaan antar rayon parkir, weekend, dan national holiday, sehingga estimasi manual berdasarkan rata-rata historis belum mampu menghasilkan target pendapatan yang akurat. Penelitian ini mengusulkan model Support Vector Regression yang dioptimasi menggunakan Grey Wolf Optimization (SVR-GWO) untuk meningkatkan akurasi prediksi pendapatan retribusi parkir harian. Data historis yang digunakan berasal dari Dinas Perhubungan Kota Cirebon periode Januari 2023 hingga Juli 2025 sebanyak 3.825 data. Dataset diproses melalui Feature Engineering dan dibagi secara kronologis menjadi Training Data dan Testing Data. Model Support Vector Regression menggunakan kernel Radial Basis Function (RBF), sedangkan Grey Wolf Optimization digunakan untuk mengoptimasi hyperparameter (C, ε, dan γ). Kinerja model dievaluasi menggunakan Mean Absolute Error (MAE), Root Mean Square Error (RMSE), Mean Absolute Percentage Error (MAPE), dan R². Hasil penelitian menunjukkan bahwa model SVR-GWO menghasilkan kinerja yang lebih baik dibandingkan baseline SVR, dengan menurunkan nilai MAE dari Rp305.883 menjadi Rp130.101, RMSE dari Rp393.680 menjadi Rp188.259, serta MAPE dari 22,59% menjadi 12,71%, dan meningkatkan nilai R² dari 0,64 menjadi 0,92. Implementasi model ke dalam aplikasi berbasis Laravel menyediakan alat prediksi yang transparan, objektif, dan berbasis data untuk mendukung perencanaan serta pengambilan keputusan terkait pendapatan retribusi parkir.   Kata kunci — Support Vector Regression, Grey Wolf Optimization, Prediksi Pendapatan Retribusi Parkir, Time Series, Hyperparameter Optimization
Co-Authors Akbari, Safitri Eka Septian, Willy Lena Magdalena, Lena Suwandi Suwandi Turini, Turini Valentino, Fernando