Article Per Year (5 Year)
p-Index From 2021 - 2026
3.361
P-Index
This Author published in this journals
All Journal Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Inspiration Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JUSIM (Jurnal Sistem Informasi Musirawas) JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Digital Teknologi Informasi Jurnal Computer Science and Information Technology (CoSciTech) Jurnal Bangkit Indonesia Inspiration: Jurnal Teknologi Informasi dan Komunikasi International Journal of Computer Science and Information Technology Journal of Innovation and Computer Science Journal of Applied Computing and Digital Information
Muhammad Romadhona Kusuma
Darunnajah University, Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Other

Published : 24 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 24 Documents
Search

 1   2   3 
Text-to-Sign Language Gesture Translator Using a Rule-Based Approach for Inclusive Learning Muhammad Romadhona Kusuma; Wildan Hakim; Dwi Daryanto; Muhammad Reno Fathur Rahman; Tri Widianto
Journal of Innovation and Computer Science Vol. 2 No. 2 (2026): Journal of Innovation and Computer Science (in the process)
Publisher : Yayasan Mitra Peduli Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57053/jics.v2i2.165

Abstract

Digital technology has created more ways to make communication accessible for people with hearing impairments. Still, there are a few sign language learning tools that combine several sign language systems in one platform. This study developed a rule-based Text-to-Sign Language Translator to support independent and flexible sign language learning. The application translates text in Latin and Hijaiyah transliteration into visual sign language, including BISINDO, SIBI, and Al-Quran Sign Language. The system uses a rule-based approach, including text normalization, tokenization, direct dataset matching, and visual rendering via images and video animations. It is a web-based application built with PHP, CodeIgniter, and MySQL. The system was tested with letter, word, and sentence inputs. There are 20 participants in the user testing. The results showed 94% accuracy for letter translation, 86% for word translation, and 80% for sentence translation. Then, it is with an average accuracy of about 87%. Users gave positive feedback on ease of use (90%), interface clarity (88%), and gesture comprehension (85%). The implications of this research suggest that the system is practical and affordable. Then, it is an accessible tool for sign language education, especially for those who need structured gesture mapping without machine learning.
Peran Watermark Citra sebagai Lapisan Identitas Biometrik Persisten untuk Arsitektur Tata Kelola dan Interoperabilitas Data Wajah: Kerangka Konseptual pada Ekosistem Aplikasi Digital Terintegrasi Muhammad Romadhona Kusuma; Sepdiyanto Sepdiyanto; Noor Azis; Muhammad Sholeh
Jurnal Bangkit Indonesia Vol 15 No 1 (2026): Bulan Juni 2026
Publisher : LPPM Sekolah Tinggi Teknologi Indonesia Tanjung Pinang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52771/bangkitindonesia.v15i1.483

Abstract

The utilization of facial images as biometric identity in integrated digital systems continues to increase and requires security mechanisms that do not solely depend on metadata or application databases. Metadata is non-persistent and vulnerable to deletion or modification, while databases may experience loss or long-term unavailability. This paper proposes a conceptual framework in which image watermarking functions as a persistent biometric identity layer embedded directly within the facial image signal. The proposed architecture consists of the Application Layer, Image Processing & Watermark Layer, Storage Layer, and Verification & Audit Layer. This approach is designed to preserve biometric identity integrity, support auditing, and enable cross-system interoperability. As an implementation illustration, the framework is proposed for the Menara Masjid and Microfinance Masjid application ecosystem, which utilizes facial images as users’ digital identity. The design results indicate that image watermarking can serve as an internal identity independent of metadata and databases, while strengthening biometric governance and supporting traceability as well as mitigation of facial image misuse within an integrated digital application ecosystem
Perancangan Sistem Absensi Santri Berbasis Web Menggunakan QR-Code di Pondok Pesantren Darussalaam Muhammad Suhandar Sukma Suhandar; Muhammad Abdul Karim Luthfi; Aco Linggato; Muhammad Romadhona Kusuma
Journal of Applied Computing and Digital Information Vol. 1 No. 02 (2025): July-December 2025
Publisher : Algoria Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12345/jacodi.v1i02.143

Abstract

Kemajuan teknologi informasi telah memberikan dampak yang signifikan dalam meningkatkan efisiensi pengelolaan di berbagai sektor, termasuk dalam bidang pendidikan. Salah satu aktivitas penting dalam administrasi pendidikan adalah pencatatan kehadiran santri. Saat ini, Pondok Pesantren Darussalaam masih mengandalkan metode absensi manual yang cenderung tidak efisien, rawan kesalahan, serta menyulitkan proses pengelolaan dan rekapitulasi data. Berdasarkan kondisi tersebut, penelitian ini fokus pada pengembangan sistem absensi santri berbasis web yang memanfaatkan teknologi QR Code sebagai solusi yang lebih cepat dan akurat. Sistem ini dibangun menggunakan bahasa pemrograman PHP, framework CodeIgniter, serta MySQL sebagai basis penyimpanan data, sehingga diharapkan mampu meningkatkan efektivitas pencatatan kehadiran dan mempermudah proses administrasi di pesantren. Hasil penelitian menunjukkan bahwa sistem absensi berbasis QR Code dapat diterapkan dengan sangat baik dan mampu memberikan metode pencatatan kehadiran santri yang jauh lebih efisien. Sistem ini menghasilkan data absensi yang akurat dan selalu diperbarui sekaligus, mempercepat proses pencatatan serta meminimalkan potensi kesalahan input. Secara keseluruhan, sistem ini berfungsi sebagai solusi modern yang efektif dalam mendukung pengelolaan absensi santri di pesantren. Implementasinya mampu menghadirkan proses absensi yang lebih efisien, transparan, dan andal sehingga meningkatkan kualitas manajemen kehadiran secara menyeluruh.
PENINGKATAN KUALITAS CITRA WAJAH PADA KONDISI PENCAHAYAAN RENDAH MENGGUNAKAN MULTI-SCALE RETINEX WITH COLOR RESTORATION (MSRCR) UNTUK MENDUKUNG DETEKSI WAJAH Muhammad Romadhona Kusuma
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 10 No. 1 (2026): JATI Vol. 10 No. 1
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v10i1.17059

Abstract

Deteksi wajah pada kondisi pencahayaan rendah masih menjadi tantangan utama dalam sistem analisis wajah karena rendahnya kontras dan hilangnya detail visual yang berdampak pada menurunnya keandalan proses deteksi. Permasalahan ini umumnya disebabkan oleh distribusi pencahayaan yang tidak merata dan dominasi bayangan pada area wajah. Penelitian ini bertujuan untuk mengevaluasi efektivitas metode Multi-Scale Retinex with Color Restoration (MSRCR) sebagai tahap pra-pemrosesan dalam meningkatkan kualitas citra wajah pada kondisi pencahayaan rendah serta mendukung kestabilan proses deteksi wajah. Metode MSRCR diterapkan untuk menyeimbangkan pencahayaan global dan lokal sekaligus mempertahankan detail struktural wajah. Evaluasi dilakukan menggunakan Yale Face Database B dan Yale Face Database B+, yang menyediakan variasi pencahayaan ekstrem dan banyak digunakan dalam penelitian deteksi wajah. Hasil eksperimen menunjukkan bahwa MSRCR mampu meningkatkan kontras dan detail wajah secara signifikan dibandingkan citra asli maupun metode peningkatan kecerahan sederhana, seperti koreksi gamma dan transformasi logaritmik. Selain itu, citra hasil MSRCR menunjukkan artefak visual yang lebih minimal dan memberikan indikasi positif terhadap kestabilan proses deteksi wajah pada kondisi pencahayaan rendah. Temuan ini menunjukkan bahwa MSRCR efektif digunakan sebagai metode peningkatan citra untuk mendukung sistem deteksi wajah pada lingkungan dengan pencahayaan tidak ideal
Design of a Free Nutritious Food Menu Preparation System with Interactive Nutrition Calculation Simulation Muhammad Romadhona Kusuma
Journal of Innovation and Computer Science Vol. 1 No. 2 (2025): Journal of Innovation and Computer Science
Publisher : Yayasan Mitra Peduli Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57053/jics.v1i2.94

Abstract

The government's preparation of free nutritious food menus represents a strategic initiative to improve public health, particularly for vulnerable populations such as underprivileged families. This study presents a web-based simulation system designed to assist the government in planning menus with processes that are not only quantitatively adequate but also aligned with balanced nutritional standards. The platform enables users to select food ingredients based on specific nutritional targets, including calories, carbohydrates, protein, and fat. To ensure that each stage—ingredient selection, nutrition calculation, validation, and result presentation—proceeds in a structured and efficient sequence, the system adopts a Finite State Automata (FSA) approach. Implementation results demonstrate that the system can accurately compute and visualize nutritional values using interactive pie charts, helping users evaluate the nutritional balance of selected menus. The key contribution of this study lies in integrating the FSA method to structure the menu preparation process, combined with interactive data visualization techniques to enhance user comprehension. This approach aims to improve public nutritional literacy and ensure that distributed meals deliver optimal health benefits.
Classification of Software Defect Prediction for Bisnissyariah.co.id Media Portal using Machine Learning Technology Fikri Ismaya; Windu Gata; Muhammad Romadhona Kusuma; Dedi Dwi Saputra; Sigit Kurniawan
Journal of Innovation and Computer Science Vol. 1 No. 2 (2025): Journal of Innovation and Computer Science
Publisher : Yayasan Mitra Peduli Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57053/jics.v1i2.96

Abstract

This research was conducted to develop software defect prediction using a dataset from Bisnissyariah, a forum website with up-to-date news related to Islamic business. The study employed a straightforward research design to ensure easy comprehension for the readers. Machine learning models, including Random Forest, Gradient Boosting, and Support Vector Machine, were utilized in this research—the application of these models aimed to evaluate and compare the accuracy of software defect predictions. The research findings indicated that the Random Forest model outperformed the others, achieving an accuracy rate of 96.7%. This result shows the high effectiveness of the Random Forest model in predicting software defects based on data from Bisnissyariah. In addition, these findings significantly impact the development of more reliable and high-quality software, particularly in Islamic business. This research makes a valuable contribution to enhancing our understanding of software defect prediction using data from sources like Bisnissyariah.
Design of a User-Friendly Financial Tracker for Daily Household Spending Based on JavaScript and Bootstrap Dina Ramadhania; Muhammad Romadhona Kusuma
Journal of Innovation and Computer Science Vol. 1 No. 2 (2025): Journal of Innovation and Computer Science
Publisher : Yayasan Mitra Peduli Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57053/jics.v1i2.99

Abstract

In today's digital era, recording expenses is crucial to effective financial management, especially for individuals and Micro, Small, and Medium Enterprises (MSMEs). This study aims to design and implement a web-based financial system using JavaScript and Bootstrap 5 that can record transactions dynamically and in real time. The system is designed to be lightweight, responsive, and easy to use. Thus, it is accessible to users with varying levels of technological literacy. Evaluation results find that the system records expenses accurately and receives positive feedback from users regarding its usability. In particular the system is especially suitable for household users, particularly individuals who manage their daily spending routines at home.
Development of an Automated Website Content Status Checking and WhatsApp Notification System for the Regional BAZNAS Digital Office Muhammad Abdul Karim Luthfi; M. Rezky Revansyah Suprihono; Saeful Mu'minin; Yudhiarma; Muhammad Romadhona Kusuma
Journal of Innovation and Computer Science Vol. 2 No. 1 (2025): Journal of Innovation and Computer Science
Publisher : Yayasan Mitra Peduli Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57053/jics.v2i1.136

Abstract

The rapid development of information technology has accelerated digital transformation in public sector organizations. In Indonesia, the National Zakat Agency (BAZNAS) has implemented a Digital Office platform to improve transparency, efficiency, and public communication by publishing news, agendas, and reports online. However, inconsistent website content updates remain a significant challenge, with many regional websites displaying outdated news, empty agendas, or even being inaccessible. This study presents the development of an automated system to check website content status and generate WhatsApp notifications to improve monitoring efficiency. The system was developed using a Rapid Application Development (RAD) approach in three stages: (1) uploading and processing the primary dataset of BAZNAS offices, automatically checking content using regular expressions and HTTP status validation; (2) incorporating a secondary dataset containing additional office information with the option to remove columns; and (3) creating structured WhatsApp messages based on predetermined content conditions and converting them into clickable wa.me links. Testing was conducted at 542 BAZNAS Digital Offices across Indonesia, resulting in a 59.62% website activity rate, incomplete content detection in 8.67% of news items and 41.70% of agenda items, and a 70% reduction in manual monitoring time. These results demonstrate the system's potential to enhance transparency, consistency, and efficiency in public sector digital transformation initiatives.
Designing a Web-Based Zakat Calculator Using Streamlit: A Case Study of BAZNAS Banyumas Regency Rojulan Fayadul Mujahid; Muhammad Romadhona Kusuma
Journal of Innovation and Computer Science Vol. 2 No. 1 (2025): Journal of Innovation and Computer Science
Publisher : Yayasan Mitra Peduli Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57053/jics.v2i1.137

Abstract

Zakat is an important instrument for distributing welfare among Muslims and requires accurate and transparent calculations. However, some people still have difficulty calculating zakat on their income independently. This study aims to design and implement a web-based Zakat Calculator application using the Streamlit framework, with a case study at the National Zakat Agency (BAZNAS) in Banyumas Regency. This application features an interactive interface, automatic calculations based on the current gold nishab, and flexible additional income features. The research method uses a Design Science Research (DSR) approach, with the following stages: problem identification, artifact design, implementation, and evaluation. The implementation results show that the application can facilitate muzaki (payers of zakat) in calculating zakat obligations quickly and accurately, and provides user-friendly information on the status of their obligations. This application also supports transparency in zakat collection at the regional level.
Design and Implementation of the BAZNAS Microfinance Desa Application for Empowering Mustahiq Micro Enterprises Muhammad Romadhona Kusuma; Noor Azis
Journal of Innovation and Computer Science Vol. 2 No. 1 (2025): Journal of Innovation and Computer Science
Publisher : Yayasan Mitra Peduli Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57053/jics.v2i1.138

Abstract

Microfinance has become an important strategy for expanding financial access to micro-entrepreneurs, who dominate the Indonesian economic structure. Since 2018, the National Zakat Agency (BAZNAS) has introduced the BAZNAS Microfinance Desa (BMD) program, which is based on zakat, infaq, and alms funds. This research aims to design and implement a BMD digital application to manage sharia financing based on al-Qardhul Hasan and productive grants, while also supporting transparent monitoring and reporting. The research method employs a Design Science Research (DSR) approach, involving the stages of problem identification, artifact design, application implementation, and program evaluation across several regional BMDs. The application supports the financing application process, Mustahiq eligibility assessment, fund disbursement, repayment recording, and a centralized reporting dashboard. The implementation results show that the BMD application can improve the efficiency of administrative processes, reduce the risk of non-performing financing, and accelerate the consolidation of Mustahiq data at the national level. This research contributes to the development of a more transparent, measurable, and sustainable zakat-based microfinance model. It is relevant to the national zakat digitalization agenda and the achievement of the Sustainable Development Goals (SDGs).
Co-Authors Aco Linggato Agung Sudrajat, Agung Ahmad Baihaqi Ali Ahmad Binti Husna, Modesta Dedi Dwi Saputra Dedi Dwi Saputra Dina Ramadhania Dwi Daryanto Dwiza Riana Efri Syamsul Bahri Ferda Ernawan Fikri Ismaya Frieyadie Gata, Windu Jupriyanto . Kurniawan, Triadi Laela Kurniawati Laela Kurniawati, Laela Leo Ternado M. Rezky Revansyah Suprihono Marta Dinata, Riadi Muhammad Abdul Karim Luthfi Muhammad Abdul Karim Luthfi Muhammad Naufal Adnansyah Nuryadin Muhammad Reno Fathur Rahman Muhammad Sholeh Muhammad Suhandar Sukma Suhandar Mulia Ningsih Niko Purnomo Noor Azis Noor Azis Purnomo, Niko Rahmat Rahmat Rengga Gumilar Riadi Marta Dinata Rianto, Yan rivan, almay faiz Robby Saputra Rojulan Fayadul Mujahid Ropi, Muhamad Saeful Mu'minin Sepdiyanto Sepdiyanto Shidiq, Muchamad Bachram Sigit Kurniawan Sigit Kurniawan Supriadi Panggabean Supriadi Panggabean Tri Widianto Wildan Hakim Windu Gata Windu Gata Yudhiarma Yudhiarma