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All Journal RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Journal of Artificial Intelligence and Engineering Applications (JAIEA) Journal of Artificial Intelligence and Digital Business
M. Hasan Wahyudi
Universitas Islam Lamongan
Automotive Engineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering

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Optimization of Financial Management at Idhotun Nasyi’in Islamic Boarding School using a Website Application Arinil Haqqoh; Kemal Farouq Mauladi; M. Hasan Wahyudi
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 2 (2026): February 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i2.1800

Abstract

Idhotun Nasyi'in Islamic Boarding School faces challenges in financial management due to its manual reliance on Microsoft Excel, which is prone to data loss, input errors, and tracking difficulties. This research aims to design and build a web-based financial management application to address these issues. Developed using the System Development Life Cycle (SDLC) waterfall model with PHP and MySQL, the application features core functionalities such as income and expense management, transaction categorization, and real-time financial report generation in PDF format. Black box testing results indicate that the application functions effectively, simplifying the tasks of administrators and treasurers in monitoring cash flow. The implementation of this system is expected to enhance the accuracy, efficiency, and transparency of the boarding school's financial management.
IMPLEMENTASI METODE SINGLE EXPONENTIAL SMOOTHING UNTUK PREDIKSI STOK BAHAN BAKU PROGRAM MAKAN BERGIZI GRATIS: IMPLEMENTATION OF THE SINGLE EXPONENTIAL SMOOTHING METHOD FOR FORECASTING RAW MATERIAL STOCK IN THE FREE NUTRITIOUS MEAL PROGRAM Dewi Prima Apriliaissabella; Retno Wardhani; M. Hasan Wahyudi
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 2 (2026): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i2.8448

Abstract

The Free Nutritious Meal Program (MBG) requires effective raw material inventory management to ensure an adequate food supply. One of the problems faced by the Nutritional Fulfillment Service Unit (SPPG) Nur Amanah 10 was determining the raw material requirements for the next period because inventory planning was still carried out manually based on estimation, leading to shortages or excess inventory. This study aimed to develop a raw material inventory forecasting system using the Single Exponential Smoothing (SES) method. Historical raw material demand data were used, and alpha values ranging from 0.1 to 0.9 were evaluated to determine the optimal parameter based on the smallest Root Mean Squared Error (RMSE). The system was developed using PHP, the Laravel framework, and a MySQL database and was tested using black box testing. The results showed that 17 out of 94 raw material types met the forecasting requirements. An alpha value of 0.1 was the most frequently selected optimal parameter, while most forecasting results produced relatively low RMSE values. The system was able to display forecasting results, the optimal alpha value, RMSE values, and detailed SES calculations, thereby assisting SPPG managers in planning raw material requirements more effectively.
Implementasi Metode Regresi Linier Berganda Untuk Prediksi Akademik Siswa di SMK NU 1 Kedungpring Muhammad Nur Wahid; M. Ghofar Rohman; M. Hasan Wahyudi
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 5 No. 2 (2026): Mei-Juli
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v5i2.13975

Abstract

SMK NU 1 Kedungpring sebagai lembaga pendidikan menengah kejuruan berkomitmen untuk meningkatkan mutu akademik siswanya. Namun, dalam praktiknya, sekolah sering menghadapi kesulitan dalam memprediksi hasil belajar secara tepat. Penelitian ini membahas implementasi metode regresi linier berganda untuk memprediksi nilai akademik siswa di SMK NU 1 Kedungpring. Sistem prediksi dirancang berbasis website agar memudahkan integrasi data, visualisasi, dan pelaporan secara real-time. Variabel independen meliputi ketidakhadiran, ekstrakurikuler, dan kepribadian, sedangkan variabel dependen berupa nilai akhir siswa. Dataset diperoleh melalui dokumentasi, arsip sekolah, dan analisis dokumen berupa rapor serta catatan akademik. Penelitian ini menggunakan data pelatihan sebanyak 160 data dan pengujian sebanyak 40 data, lalu dievaluasi menggunakan MAPE, MSE, dan RMSE guna memastikan validitas dan akurasi prediksi. Hasil penelitian menunjukkan bahwa metode regresi linier berganda mampu menghasilkan prediksi dengan akurasi sangat baik. Evaluasi model menggunakan Mean Absolute Percentage Error (MAPE) sebesar 7,42%, Mean Squared Error (MSE) sebesar 39,28106, dan Root Mean Squared Error (RMSE) sebesar 6,27. Nilai MAPE dan RMSE di bawah 10% menandakan hasil prediksi termasuk kategori highly accurate. Sistem ini layak diterapkan sebagai pendukung keputusan sekolah untuk intervensi dini terhadap siswa yang berpotensi menurun prestasinya, sekaligus memberikan kontribusi akademik dalam penerapan regresi linier berganda di bidang pendidikan.
Co-Authors Arinil Haqqoh Dewi Prima Apriliaissabella Kemal Farouq Mauladi M. Ghofar Rohman Muhammad Nur Wahid Retno Wardhani