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All Journal JURNAL TEKNOLOGI DAN OPEN SOURCE Seminar Nasional Ilmu Terapan ILTEK : Jurnal Teknologi Jurnal Ilmu Teknologi Informasi Indonesia (JITIFNA)
Abdul Rezha Efrat Najaf
UPN Veteran Jawa Timur
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering

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Rancang Bangun Sistem Informasi Kelola Dokumen Berbasis Website Pada Dinas Tenaga Kerja Dan Transmigrasi Provinsi Jawa Timur Muhammad Zakky Ulil Amry; Chandra Febryan Saputra; Jonathan Alexander Christian; Abdul Rezha Efrat Najaf
Jurnal Ilmu Teknologi Informasi Indonesia Vol. 2 No. 2 (2026): JITIFNA - Juli
Publisher : CV. SINAR HOWUHOWU

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70134/jitifna.v2i2.1737

Abstract

Document management plays a key part in how government institutions run their administrative processes and information services, yet at the Department of Manpower and Transmigration of East Java Province it was still handled through physical archives and digital files scattered across different locations, making retrieval slow and inconsistent. This study designs and develops a web-based document management information system using the Waterfall method, built with the Laravel framework and MySQL as the database. Development covered requirements analysis, system design, implementation, and Black Box Testing, resulting in a system that provides document management, category and document type management, document relationship management, publication, search, and usage statistics. Testing results showed that all functions worked according to the specified requirements, resolving the fragmentation that had previously slowed down the institution's document-handling process.
BCA Stock Price Prediction Using Time Series Method With GRU (Gated Recurrent Unit) Rizky Nugraha; Abdul Rezha Efrat Najaf; Reisa Permatasari
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 8 No. 2 (2025): Jurnal Teknologi dan Open Source, December 2025
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v8i2.4500

Abstract

Stock price prediction is a crucial component in investment decision-making, enabling investors to plan strategies more accurately and minimize risks. This study applies the Gated Recurrent Unit (GRU) model to predict the stock prices of blue-chip banking companies in Indonesia using data from the period 2019 to 2024. The model utilizes historical stock data to forecast future trends. The results from the first testing scheme, with a data split ratio of 70% / 30%, using GRU units (128,256) with the Adam optimizer, show that the GRU model is the most optimal in terms of prediction, measured by metrics such as MSE, RMSE, and MAPE. This study also proposes a web-based dashboard that visualizes the predicted stock prices and provides decision-support tools for investors. The findings highlight the effectiveness of deep learning in financial forecasting and underscore its potential to enhance investment strategies.
House Price Prediction in Surabaya Using Backpropagation Neural Network Dimas Fajri Pamungkas; Abdul Rezha Efrat Najaf; Reisa Permatasari
JURNAL TEKNOLOGI DAN OPEN SOURCE Vol. 8 No. 2 (2025): Jurnal Teknologi dan Open Source, December 2025
Publisher : Universitas Islam Kuantan Singingi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36378/jtos.v8i2.4829

Abstract

This research develops a house price prediction system in Surabaya using the Backpropagation Neural Network (BPNN) method. The dataset was obtained through web scraping of property listings, resulting in 3,435 records with 52 attributes. To improve stability, the target variable (house price) was transformed using natural logarithms. Several neural network architectures were tested, and the best configuration [32, 64, 32] achieved Mean Absolute Error (MAE) of 0.3125, Root Mean Squared Error (RMSE) of 0.4201, R² of 0.7138, and Mean Absolute Percentage Error (MAPE) of 1.46%. A multi-run evaluation of 20 iterations confirmed consistency of results. The model was implemented as a web-based application using Flask, allowing users to predict house prices in real-time. This research shows that BPNN is reliable for property price forecasting and can support decision-making in the housing market.
PENGUJIAN FUNGSIONALITAS SISTEM INFORMASI MANAJEMEN MAGANG DI KEMENTERIAN AGAMA KOTA SURABAYA MENGGUNAKAN KATALON STUDIO Lina Wardani; Nur Cahyo Wibowo; Abdul Rezha Efrat Najaf
ILTEK : Jurnal Teknologi Vol. 20 No. 02 (2025): ILTEK : Jurnal Teknologi
Publisher : Fakultas Teknik Universitas Islam Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47398/iltek.v20i02.237

Abstract

Penelitian ini bertujuan untuk menguji fungsionalitas Sistem Informasi Manajemen Magang (SIMM) yang dikembangkan oleh Kementerian Agama Kota Surabaya menggunakan pendekatan Black Box Testing dan otomatisasi pengujian melalui Katalon Studio. Pengujian dilakukan berdasarkan dokumen Requirement Traceability Matrix (RTM) dan disusun dalam bentuk 219 test case yang mewakili seluruh modul sistem. Hasil pengujian menunjukkan bahwa sistem mampu menjalankan fungsi-fungsi utama secara baik, nilai efektivitas keseluruhan sebesar 95,8%. Berdasarkan standar Litbang Depdikbud tahun 1991, nilai tersebut mengindikasikan bahwa sistem berada dalam kategori sangat efektif. Satu test case pada fitur presensi dinyatakan pending karena keterbatasan perangkat pengujian dalam mendeteksi lokasi secara akurat. Penelitian ini menyimpulkan bahwa SIMM layak digunakan sebagai sistem digital magang dengan rekomendasi perbaikan minor pada aspek teknis. Temuan ini juga menunjukkan bahwa penggunaan automation testing tools seperti Katalon Studio dapat meningkatkan efisiensi, konsistensi, dan akurasi dalam pengujian perangkat lunak.
PERANCANGAN APLIKASI JASA RIAS WAJAH BERBASIS DESIGN THINKING UNTUK PENGALAMAN PENGGUNA Rizvina Hadi Imani; Abdul Rezha Efrat Najaf; Prasasti Karunia Farista Ananto
Seminar Nasional Ilmu Terapan Vol 9 No 1 (2025): Vol 9 No 1 (2025): Seminar Nasional Ilmu Terapan (SNITER) 2025
Publisher : Universitas Widya Kartika Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini bertujuan untuk merancang aplikasi jasa rias wajah yang mempermudah pelanggan dalam mencari, memesan, dan melakukan transaksi layanan secara efisien. Latar belakang penelitian didasarkan pada permasalahan yang sering dialami pelanggan, yaitu keterbatasan informasi harga, jadwal, dan portofolio pemilik jasa rias yang tidak transparan, serta proseskomunikasi yang lambat. Metode yang digunakan adalah Design Thinking dengan lima tahapan: Empathize, Define, Ideate, Prototype, dan Test. Melalui pendekatan ini, peneliti berfokus pada pemahaman kebutuhan pengguna untuk menghasilkan desain antarmuka (UI) dan pengalaman pengguna (UX) yang intuitif, menarik, dan sesuai dengan ekspektasi pelanggan. Prosesperancangan dilakukan menggunakan aplikasi Figma untuk menghasilkan wireframe dan prototype beresolusi tinggi, kemudian diuji menggunakan metode System Usability Scale (SUS) terhadap lima responden. Hasil pengujian menunjukkan nilai rata-rata SUS sebesar 73, yang termasuk kategori “Good”, menandakan bahwa desain aplikasi mudah digunakan danmemberikan pengalaman pengguna yang memuaskan. Dengan demikian, rancangan aplikasi ini berpotensi menjadi solusi efektif dalam meningkatkan efisiensi dan transparansi layanan jasa rias di era digital.
Co-Authors Chandra Febryan Saputra Dimas Fajri Pamungkas Jonathan Alexander Christian Lina Wardani Muhammad Zakky Ulil Amry Permatasari, Reisa Prasasti Karunia Farista Ananto Rizky Nugraha Rizvina Hadi Imani Wibowo, Nur Cahyo