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Efri Syamsul Bahri
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efri.sb@sebi.ac.id
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Journal of Innovation and Computer Science
Published by Yayasan Mitra Peduli Indonesia
ISSN : -     EISSN : 30891388     DOI : 10.57053/jics
Core Subject : Science,
Computer Science & IT
Journal of Innovation and Computer Science (JICS) is academic, online, open access, and peer-reviewed. It aims to publish original, theoretical, and practical in Computer Science. JICS aims to provide cutting-edge research and practice in computer science. It provides an international publication platform to boost the scientific and academic publication of research in the field. Submissions concerning any theoretical or practical implementation of algorithm design, methods, and development are invited. The subject of articles contributed may cover, but is not limited to: Computer Organization & Architecture Computer Networks & Wireless Communication Embedded System Mobile Computing Internet of Things (IoT) Technology Cloud Computing Smart System Information Technology (IT) Automation Network Security Cryptography Computer Security Parallel and Distributed System Robotic Intelligence Machine Learning
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 20 Documents
 1   2 
Information Technology Risk Management Analysis and Maturity Level Mapping at Darunnajah University Using Cobit 4.1 Framework Aco Linggato; Fina Dwi Agustina; Muhammad Suhandar Sukma; Muhammad Arif; Ahmad Fawaid
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.v2i1.126

Abstract

The rapid development of information technology today requires every company to continually evolve by adopting the latest technologies. On the other hand, the application of information technology requires substantial investment and poses a considerable risk of failure. Company conditions like this require consistency in managing the application of information technology. Therefore, companies need to implement risk management to identify potential risks when implementing information technology. The COBIT 4.1 framework is the framework that best suits the needs of the company because it ensures that information technology has been aligned with business processes, identifies risks, assesses risks, handles risks appropriately, maps maturity levels, and produces recommendations to be able to achieve targets that are in accordance with the company's wishes.
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).
Initial Identification of Zakat Management Applications Abdullah Mubarok; Efri Bahri
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.v2i1.141

Abstract

The use of zakat management applications supports the success of zakat management in Indonesia. This study aims to identify zakat management applications in Indonesia. This study employs a qualitative method with a descriptive approach, incorporating a literature review. Data is sourced from journal article databases, the Google Play Store, the App Store, websites/applications, and the Google Scholar search engine. Inclusion criteria are active applications that support zakat management. Analysis is conducted based on content that aligns with the research theme, specifically the keyword 'zakat application'. The results show that there are three main groups of actors managing zakat applications in Indonesia: BAZNAS, the Zakat Amil Institution (LAZ), and Fintech (financial technology) platforms. Zakat management authorities in Indonesia need to provide support and protection for zakat management applications to minimize risks, maintain the trust of muzaki (those who pay zakat), and deliver the best service to mustahiq (those who receive zakat).
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.
Artificial Intelligence-Based UAV Image Processing for Oil Palm Ripeness and Oil Quality Assessment Muhammad Khoyyinuddin
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.v2i2.171

Abstract

Artificial intelligence-based unmanned aerial vehicle UAV systems offer promising capabilities for oil palm plantation monitoring and quality assessment. However, most existing studies focus mainly on ripeness classification using RGB imagery, while integrated oil quality prediction, multimodal sensing, explainable artificial intelligence XAI, and real-time deployment remain limited. This study conducts a systematic literature review of AI-based UAV image processing technologies for oil palm ripeness detection and oil quality assessment using the PRISMA 2020 framework. We analyzed 45 peer-reviewed journal articles published between 2019 and 2025. The review indicates that convolutional neural network-based models are the most widely used for ripeness classification, while YOLO-based lightweight detectors are promising for real-time deployment. Multimodal sensing using RGB, multispectral, hyperspectral, thermal, and near-infrared data improves robustness for estimating oil quality-related variables such as oil extraction rate, moisture content, and free fatty acids. Key challenges include limited datasets, environmental variability, computational constraints, and the low adoption of XAI. Based on these findings, the study proposes an integrated AI-UAV smart plantation framework for sustainable precision agriculture in the oil palm industry.
The Influence of System Quality and Information Quality on User Satisfaction with the JKT48 Website Based on the WebQual 4.0 Method Saipul Anwar; Ivanca Nur Isnaeny; Arisantoso; Muhamad Femy Mulya
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.v2i2.184

Abstract

In the digital era, website quality has become a crucial factor affecting user satisfaction, including on the official JKT48 website, which provides information and services for fans. Using the WebQual 4.0 method, this study aims to analyse the effects of usability, information, service interaction, and system and information quality on user satisfaction with the JKT48 website. This study employed a quantitative survey approach. Data were collected using a Likert-scale questionnaire and a purposive sampling technique involving 107 active website users in Indonesia. The data were analysed using multiple linear regression after validity, reliability, and classical assumption tests were conducted. The results of the study show that all independent variables have good validity and reliability. These variables also have a significant effect on user satisfaction, both simultaneously and partially. The model's explanatory contribution is 50.4%. Therefore, improving website service satisfaction should be prioritised by enhancing ease of use, data quality, and service interaction quality in order to increase user satisfaction and customer loyalty.

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