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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 Edcomtech: Jurnal Kajian Teknologi Pendidikan Journal of Applied Computing and Digital Information
Muhammad Romadhona Kusuma
Darunnajah University, Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Other

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Journal : journal of innovation and computer science

 1 
Information Technology Infrastructure Library Framework Implementation Using Machine Learning Method Kusuma, Muhammad Romadhona; Shidiq, Muchamad Bachram; Sudrajat, Agung
Journal of Innovation and Computer Science Vol. 1 No. 1 (2024): 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.v1i1.52

Abstract

A business company must be able to adapt to the rapid development of information technology. An organization's success depends on its users' ability and desire to use technology in business activities. If a company can provide technology but fails to achieve the expected results, this can be caused by less than optimal use of technology. This study aims to discuss the importance of ITIL implementation in maintaining and constantly monitoring technology in running business processes in the company. In addition, implementation evaluation can be assessed by looking at performance in handling IT problems based on historical data on the ticketing system application. It can be analyzed using machine learning methods to obtain the best analysis results for evaluation and input for future improvement of PT Wansya Indotama Jaya.
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.
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).
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.
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
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.
Analysis of Factors Influencing the Acceptance and Use of AdmApp at Cahaya Al-Qur’an Islamic Boarding School Using the UTAUT Model Mulia Ningsih; Muhammad Romadhona Kusuma; Supriadi Panggabean; Ali Ahmad
Journal of Innovation and Computer Science Vol. 2 No. 2 (2026): 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.v2i2.157

Abstract

The development of information technology encourages educational institutions to adopt digital solutions to improve administrative efficiency and service quality. This study aims to analyze the factors influencing the acceptance and use of Administration Application (AdmApp), a digital financial application implemented at Cahaya Al-Qur’an Islamic Boarding School, using the Unified Theory of Acceptance and Use of Technology (UTAUT) model. This quantitative study involved 29 staff respondents using a total sampling technique. Data were collected via questionnaires and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) in SmartPLS 4.0. The results show that Performance Expectancy (PE) significantly influences Behavioral Intention (BI) (β = 0.440; p = 0.006), Behavioral Intention significantly influences Use Behavior (UB) (β = 0.504; p = 0.000), and Facilitating Conditions (FC) significantly influence Use Behavior (UB) (β = 0.466; p = 0.000). Meanwhile, Effort Expectancy (EE) and Social Influence (SI) do not significantly influence Behavioral Intention. The research model explains 60.6% of the variance in Behavioral Intention and 83.2% of the variance in Use Behavior. Despite the limited sample size, the model demonstrates substantial explanatory power in understanding technology acceptance behavior. These findings indicate that perceived usefulness and the availability of technical support are important factors in the adoption of digital administrative systems in pesantren environments.
Sentiment Analysis of Netflix Reviews Using Word2Vec and Multiple Machine Learning Models Based on Streamlit Niko Purnomo; Muhammad Romadhona Kusuma; Riadi Marta Dinata; Rengga Gumilar
Journal of Innovation and Computer Science Vol. 2 No. 2 (2026): 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.v2i2.158

Abstract

This study aims to analyze the sentiment of user reviews on the Netflix application obtained from the Google Play Store using machine learning and deep learning approaches. The research data were collected through web scraping using the Instan Data Scraper tool and produced 1,661 review data. The dataset was processed through several preprocessing stages, including cleaning, case folding, tokenization, stemming, and stopword removal. Word2Vec was applied to transform text data into numerical vector representations. The classification process was carried out using six algorithms, namely Naive Bayes, Support Vector Machine, K-Nearest Neighbors, Decision Tree, Logistic Regression, and Long Short-Term Memory (LSTM). Model performance was evaluated using accuracy, precision, recall, and F1-score metrics. The experimental results show that the LSTM algorithm achieved the highest accuracy of 88%, outperforming other machine learning models. These findings indicate that deep learning methods are more effective in capturing contextual information in textual data. This research concludes that the LSTM algorithm is the best method for classifying sentiment in Netflix user reviews due to its superior performance in understanding sequential text patterns.
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 Mahmun Mahmun Marta Dinata, Riadi Muchammad Ibnu Muzakir 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 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 Sholeh Muhammad Sigit Kurniawan Sigit Kurniawan Supriadi Panggabean Supriadi Panggabean Tri Widianto Wildan Hakim Windu Gata Windu Gata Yudhiarma Yudhiarma