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All Journal Jurnal Teknologi Sistem Informasi dan Aplikasi Journal of Computer Science and Informatics Engineering KOMMAS: Jurnal Pengabdian Kepada Masyarakat Journal of Artificial Intelligence and Digital Business LOGIC : Jurnal Ilmu Komputer dan Pendidikan OKTAL : Jurnal Ilmu Komputer dan Sains Impression : Jurnal Teknologi dan Informasi Akademika
Muhammad Feizal
Universitas Pamulang
Humanities Astronomy Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Social Sciences Other

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Perancangan Sistem Pengeloaan Arsip Surat Masuk dan Surat Keluar Berbasis Web Menggunakan Metode Alphabetical Filing dan Chronology System di PT. Fajarindo Faliman Zipper Muhamad Hanapi Saputra; Muhammad Feizal
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.v5i2.13124

Abstract

Abstrak Website pengarsipan surat merupakan website yang digunakan untuk arsip surat masuk dan surat keluar pada PT.Fajarindo Faliman Zipper. Website ini menggunakan metode metode Alphabetical Filing dan Chronology System, dengan bahasa pemrograman PHP dan database MySQL. Perancangan sistem pengarsipan surat berbasis web pada PT. Fajarindo Faliman Zipper bertujuan untuk meningkatkan efisiensi dan efektivitas pengelolaan arsip surat. Sistem ini mengatasi berbagai masalah dalam pengarsipan manual, seperti proses yang lambat, kesulitan pencarian, risiko kerusakan dan kehilangan surat, serta kebutuhan ruang penyimpanan yang besar. Berdasarkan hasil pengujian website dengan metode Blackbox Testing diperoleh bahwa seluruh fungsi halaman yang terdapat pada website ini telah berjalan sesuai dengan fungsinya, sehingga dapat disimpulkan bahwa pembuatan website ini telah berfungsi sesuai dengan yang diharapkan.
Performance Comparison of Bi-LSTM and GRU for Web-Based Stock Price Prediction: A Case Study of BBCA JK Khaerul Oktafiansyah; Muhammad Feizal
Journal of Computer Science and Informatics Engineering Vol 5 No 4 (2026)
Publisher : Ali Institute of Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/cosie.v5i4.1814

Abstract

Predicting stock prices is complex due to the non-linear and volatile characteristics of financial time-series data. This study presents a comparative analysis and web-based implementation of Bidirectional Long Short-Term Memory (Bi-LSTM) and Gated Recurrent Unit (GRU) architectures to predict the daily closing prices of PT Bank Central Asia Tbk (BBCA.JK). Using Yahoo Finance historical data from January 1, 2018, to December 31, 2024 (1,725 trading days) via a univariate approach, the dataset was partitioned into 70% training, 15% validation, and 15% testing. Empirical results demonstrate that the GRU model significantly outperforms Bi-LSTM, achieving a Root Mean Squared Error (RMSE) of 145.63, a Mean Absolute Error (MAE) of 116.95, and a Mean Absolute Percentage Error (MAPE) of 1.23%. A Paired ttest confirmed the statistical significance of this superiority, yielding a t-statistic of ???? = -4,821 and a pvalue of ???? = 0,00012 ( ???? < 0,05). The GRU model was integrated into a microservices web application using Flask API and Laravel, incorporating a rule-based Decision Support System (DSS) to provide operational trading signals (Buy, Sell, Hold) along with Take Profit and Stop Loss calculations. Evaluation via User Acceptance Testing with 21 respondents yielded a feasibility score of 82.43% ("Highly Feasible")
Aplikasi Smart Aquarium Berbasis Internet of Things (IoT) Menggunakan Metode Fuzzy Logic Tsukamoto Juhaendi; Muhammad Feizal
Impression : Jurnal Teknologi dan Informasi Vol. 5 No. 2 (2026): Juli 2026
Publisher : Lembaga Riset Ilmiah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59086/jti.v5i2.2033

Abstract

Penerapan teknologi dalam kehidupan sehari-hari telah menjadi kebutuhan penting untuk menunjang efisiensi kerja manusia, termasuk dalam sektor perikanan. Salah satu inovasi yang berkembang adalah sistem kontrol otomatis berbasis Internet of Things (IoT) yang mampu menjalankan beberapa tugas secara simultan. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem pemberi pakan ikan serta pemantau suhu ruangan otomatis berbasis ESP32 yang terintegrasi dengan perangkat Android sebagai media kontrol dan monitoring. Perangkat ini dirancang untuk membantu pembudidaya ikan, khususnya di wilayah RT 009/RW 001, dalam menjaga kualitas pertumbuhan ikan melalui pemberian pakan dan pengawasan suhu yang teratur serta efisien. Sistem ini menggunakan modul mikrokontroler ESP32 sebagai pengendali utama dan memanfaatkan aplikasi Telegram pada platform Android karena aksesibilitasnya yang tinggi. Implementasi dari sistem ini diharapkan mampu meningkatkan produktivitas perikanan dengan meminimalisasi keterlambatan pemberian pakan dan ketidakstabilan suhu ruangan akibat pengelolaan secara manual   The application of technology in everyday life has become essential for improving efficiency, including in the fisheries sector, which requires regular aquarium management. This study aims to design and implement an arduino-based Smart Aquarium using Tsukamoto Fuzzy Logic to control water temperature and pH, schedule feedings, and enable remote monitoring and control via a Telegram Bot. The system uses an ESP32 as the main controller, a DS18B20 temperature sensor and a 4502C pH sensor as inputs, a DS3231 RTC for feeding scheduling, and a servo motor as an actuator. Evaluation was conducted through Black Box Testing, testing the system’s response to changes in temperature and pH, IoT communication testing, and a Likert-scale questionnaire administered to 10 respondents. Test results showed that all system functions operated with a 100% success rate, while the user evaluation yielded an average score of 4.61 out of 5 (92.2%) and was classified as “highly satisfactory.” The application of Tsukamoto Fuzzy Logic enables the system to generate gradual control decisions based on sensor conditions. The contribution of this research is the integration of IoT, Tsukamoto Fuzzy Logic, automatic scheduling, and a Telegram Bot into a single Smart Aquarium system to support automatic and remote monitoring and control of the aquarium.
Co-Authors Ade Priadi Aliffiyah Hanifah Faisal Amri Gelar Bayu Adirama Gilang Salim Herdyanto Herdyanto, Herdyanto Juhaendi Khaerul Oktafiansyah Muhamad Hanapi Saputra Sari, Siti Fadilah