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IJISCS (International Journal of Information System and Computer Science)

ijiscs
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Published by Institut Bakti Nusantara

ISSN : 25980793 EISSN : 2598246X DOI : -

Core Subject : Science, Engineering,

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering

The IJISCS (International Journal of Information System and Computer Science) is a publication for researchers and developers to share ideas and results of software engineering and technologies. These journal publish some types of papers such as research papers reporting original research results, technology trend surveys reviewing an area of research in software engineering and technologies, survey articles surveying a broad area in software engineering and technologies. The scope covers all areas of software engineering methods and practices, object-oriented systems, rapid prototyping, software reuse, cleanroom software engineering, stepwise refinement/enhancement, ambiguity in software development, impact of CASE on software development life cycle, knowledge engineering methods and practices, formal methods of specification, deductive database systems,logic programming, reverse engineering in software design, expert systems, knowledge-based systems, distributed knowledge-based systems, knowledge representations, knowledge-based systems in language translation & processing, software and knowledge-ware maintenance, Software Specification and Modeling, Embedded and Real-time Software (ERTS), and applications in various domains of interest.

Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi

Articles 141 Documents

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MEASUREMENT OF INFORMATION TECHNOLOGY GOVERNANCE CAPABILITY LEVEL USING COBIT 2019 FRAMEWORK Lexand Ripai Silaban; Melissa Indah Fianty
IJISCS (International Journal of Information System and Computer Science) Vol 7, No 2 (2023): IJISCS (International Journal of Information System and Computer Science)
Publisher : Bakti Nusantara Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v7i2.1543

The company, which is engaged in information technology services and solutions, is facing several issues. The first problem is the absence of Standard Operating Procedures (SOPs) for documenting IT risks. Additionally, there have been instances of system downtime on the local servers, affecting both company and client data. Furthermore, data loss has occurred for employee records, financial data, inventory data, and purchasing data from the on-premises company server. To assess the capability level of the company's IT governance, the COBIT 2019 framework was implemented, focusing on operational and security areas. An approach was undertaken to enhance services and operations within the company. The results of the capability level measurement for process objective APO12 indicated that it has reached level 2, with a target capability level of level 3. On the other hand, process DSS01 successfully achieved level 3, meeting its target capability level, while process DSS02 reached level 2 with a target capability of level 3. This suggests that there is a 1-level gap in the APO12 and DSS02 processes. The recommendation given to the company is to concentrate on risk management, finding a balance between the costs and benefits of managing IT-related risks. Moreover, it is advised to minimize disruptions by resolving user incidents promptly.

SOME NEW RESULTS OF INITIAL BOUNDARY PROBLEM CONTAIN ABC-FRACTIONAL DIFFERENTIAL EQUATIONS OF ORDER α∈(2,3) Ava Rafeeq; Muhammad Muhammad
IJISCS (International Journal of Information System and Computer Science) Vol 7, No 1 (2023): IJISCS (International Journal of Information System and Computer Science)
Publisher : Bakti Nusantara Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v7i1.1420

The purpose of this research is to investegate the existence and uniqueness of solutions for a new class of Atangana-Baleanu fractional differential equations of order with periodic boundary conditions. Our results are based on the fixed points of Schauder, and Banach. In addition, investigate the stability of the solution using the Hyers-Ulam stable. Finally, presented an example to satisfy all theorems studies.MSC 2010: 34A08, 26A33, 34G20, 34C25, 45J05

DEVELOPMENT AND EVALUATION OF A MOBILE-RESPONSIVE E-COMMERCE PLATFORM WITH MARKETPLACE INTEGRATION FOR DIGITAL MARKETING AND SALES MANAGEMENT: A CASE STUDY OF SNACKWAR Lutfi Apriswana
IJISCS (International Journal of Information System and Computer Science) Vol 9, No 1 (2025): IJISCS (International Journal of Information System and Computer Science)
Publisher : Bakti Nusantara Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v9i1.1919

The rapid development of digital technology has encouraged micro, small, and medium enterprises (MSMEs) to adopt e-commerce platforms to improve marketing and sales activities. This study aims to develop and evaluate a mobile-responsive web-based e-commerce system for Snackwar, integrating digital product promotion with the Shopee marketplace. The system was developed using the Waterfall methodology, consisting of requirements analysis, system design, implementation, testing, and maintenance. Unified Modeling Language (UML) diagrams were employed to model system functionality, while PHP, MySQL, HTML, CSS, and JavaScript supported system implementation. The developed platform provides product catalogs, detailed product information, promotional features, and marketplace purchasing links. System evaluation incorporates black-box testing and user questionnaires to assess functionality, usability, and user satisfaction. The proposed system is expected to improve product accessibility, simplify promotional activities, and support digital sales management. This research contributes a practical mobile commerce solution for strengthening MSME digital transformation and marketplace connectivity.

WEIGHTED PRODUCT METHOD AS A MODEL FOR DECISION MAKING STRATEGIES FOR HANDLING STUNTING TODDLERS Ahyani Sofy; Satria Abadi; M Agus Badruzaman Al Khoir
IJISCS (International Journal of Information System and Computer Science) Vol 10, No 1 (2026): IJISCS (International Journal of Information System and Computer Science)
Publisher : Bakti Nusantara Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v10i1.1915

Stunting in toddlers is a public health issue that still needs great attention. Stunting is a long-term nutritional problem that is recognized as a national priority. Based on data from the Indonesian Nutrition Status Survey (SSGI), the prevalence of stunting reflects a high risk of developmental disorders that affect children's future. This research wasconducted with the aim of identifying priorities for handling stunting toddlers with the analysis of the Decision Support System (SPK), using Weighted Product (WP). This study uses a quantitative approach involving interviews, observations, and literature studies conducted in the work area of the UPT Puskesmas Bandung Baru. Using ten alternatives for toddlers who were analyzed based on five criteria, namely: nutritional status (BB/U), physical growth (TB/U), upper arm circumference (LiLA), age, and vitamin A consumption intake. The study's findings indicate that both methods produced stable highest ratings for A9 alternatives, while the lowest ratings were obtained on A1, A7, and A8. This research can help health centers and related institutions in setting stunting intervention priorities more objectively, efficiently, and responsive to policy changes.

DESIGN AND BUILD VR HORROR GAMES WITH PROCEDURAL CONTENT GENERATION USING CELLULAR AUTOMATA ALGORITHM Muhammad Dzulfiqar Ramadhan Wibawanto; Angga Aditya Permana; Adhi Kusnadi
IJISCS (International Journal of Information System and Computer Science) Vol 7, No 2 (2023): IJISCS (International Journal of Information System and Computer Science)
Publisher : Bakti Nusantara Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v7i2.1568

The development of video games is very fast according to data obtained by ESA in 2021, about 226 million people on American played video games and in Indonesia 105 million people play video games and this will continue to increase, it is predicted that in 2025 video players gaming in Indonesia will reach 127 million people, this causes the need for game content continues to increase while for making game content it is not something that cheap, one way to reduce costs in making content in the game is to implement procedural content generation, procedural content generation is one way of creating content game automatically by using an algorithm. This research aims to design and build a virtual reality horror game using use cellular automata algorithm, cellular automata algorithm in research This research is used for map making, besides that this research also aims to measure the level of player satisfaction with the game that has been made. Game created using the Unity 3D game engine and the C# programming language. After game has been successfully built, will measure the level of satisfaction through cakes. questionnaire using GUESS-18, based on tests that have been carried out with GUESS-18, the results obtained are 77.1 percent, which can be concluded that the level of player satisfaction is categorized as good.

DECISION MAKING MODEL FOR MEASURING THE FEASIBILITY OF SOCIAL ASSISTANCE FOR TPS3R AREA OF PRINGSEWU DISTRICT Siti Mukodimah; Dini Rika Febriani; Muhamad Muslihudin; Tuti Puspitasari
IJISCS (International Journal of Information System and Computer Science) Vol 7, No 1 (2023): IJISCS (International Journal of Information System and Computer Science)
Publisher : Bakti Nusantara Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v7i1.1544

Poverty is a major social welfare problem in Indonesia. Various efforts have been made by the government to overcome the main problems of social welfare in accordance with the Constitution of the Republic of Indonesia Number 11 of 2009 concerning social welfare, such as the provision of social assistance, social rehabilitation, social security, social empowerment, and social protection. In fact, various efforts made by the government in overcoming social welfare problems in Indonesia are considered not optimal. The lack of optimal distribution of government social assistance is affected by several factors, among others, the large number of data used as parameters and data collection and calculations that are still carried out simply and manually cause errors so that the results obtained are not on target. The study was conducted by examining the determining variables of eligibility for social assistance recipients using theSimple Additive Weighting method. To optimize the determination of the eligibility of beneficiaries in the TPS3R area of Pringsewu district, in this study the determining criteria will be applied to a system using the Decision Support System model. The decision-making system will be carried out by applying several variables as a basis for decision making including, Domicile, Family Economic Status, Employment, Income, Beneficiary Status Assistance, Number of Dependents and Home Conditions. By using the Decision Support system, poverty alleviation programs in the TPS3R area of Pringsewu district can be carried out quickly, effectively and efficiently and on target

AN EXPLAINABLE DEEP LEARNING FRAMEWORK FOR PERSONALIZED UNIVERSITY MAJOR RECOMMENDATION BASED ON STUDENTS' INTERESTS AND APTITUDES Septian Dwi Putra; Agus Suryana; Setyawan Widyarto; Satria Abadi
IJISCS (International Journal of Information System and Computer Science) Vol 10, No 2 (2026): IJISCS (International Journal of Information System and Computer Science)
Publisher : Bakti Nusantara Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v10i2.1918

Selecting an appropriate university major significantly influences students’ academic achievement, motivation, and career development. However, conventional academic guidance frequently relies on subjective assessments without adequately integrating students’ interests, aptitudes, and academic performance. This study proposes an explainable deep learning framework for personalized university major recommendations using multidimensional student profiles collected from senior high schools across 20 subdistricts in Tanggamus Regency, Indonesia. The framework integrates Holland’s RIASEC vocational interest theory, psychometric aptitude assessments, and academic achievement indicators. Twenty neural network configurations involving Feedforward Neural Networks (FFNN), Long Short-Term Memory (LSTM), Gated Recurrent Units (GRU), and Bidirectional LSTM (Bi-LSTM) were evaluated using classification metrics. Comparative results identified Bi-LSTM as the best-performing architecture, achieving 91.7% accuracy, followed by LSTM (91.2%), GRU (90.5%), and dropout-based FFNN (90.1%). Furthermore, 84% agreement was observed between students’ selected majors and system recommendations. Nevertheless, learning curves indicated substantial overfitting and limited validation performance, highlighting the need for independent verification. SHapley Additive exPlanations (SHAP) and Local Interpretable Model-agnostic Explanations (LIME) were incorporated to enhance recommendation transparency. This study contributes an integrated framework combining vocational interests, deep learning, and explainable artificial intelligence to support personalized academic guidance and evidence-based university major selection.

UTILIZING THE VAL IT 2.0 FRAMEWORK TO ASSESS THE EFFECTIVENESS OF INFORMATION TECHNOLOGY INVESTMENTS FOR IMPLEMENTATION OF THE E-PROCUREMENT SYSTEM IN PT XYZ LIFE INSURANCE Riri Fajriah; Ruci Meiyanti
IJISCS (International Journal of Information System and Computer Science) Vol 7, No 2 (2023): IJISCS (International Journal of Information System and Computer Science)
Publisher : Bakti Nusantara Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v7i2.1555

Investments made by business organizations in the field of Technology and Information are a form of investment that is not measurable when the return on investment will be achieved if it is not accompanied by an appropriate IT investment utilization strategy. PT XYZ Insurance has implemented digital transformation in several of the company's operational activities. The Procurement Division at PT BNI Life Insurance has used the e-procurement system since 2019. The Procurement Division of PT XYZ Life Insurance in implementing the e-procurement system will try to be evaluated using the VAL IT 2.0 method. The implementation of VAL IT is one of the frameworks that can be used to conduct an information technology governance management audit or IT Governance. The VAL IT 2.0 Framework analysis used in this study's conclusion to determine the state of the e-procurement system's implementation as part of operational technology management at the company PT XYZ Life Insurance yielded results showing that the highest average GAP Maturity Level is found in the Portfolio Management domain analysis at 1.11, which is different from the level or value 5 of the expected maturity level. PT XYZ Life Insurance must identify all potential e-procurement programs that could be part of the company's IT investment portfolio and prioritize e-procurement programs based on their alignment with strategic objectives, potential value, and risk considerations.

HINDI FAKE NEWS DETECTOR A Siva Kumar; Adishree Solapurkar; Akshit Khamesra
IJISCS (International Journal of Information System and Computer Science) Vol 7, No 2 (2023): IJISCS (International Journal of Information System and Computer Science)
Publisher : Bakti Nusantara Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v7i2.1465

Fake news has proliferated on the internet in recent decades. More people than ever before are creating and sharing knowledge because of social networks, many of which have no connection to reality. This has led to the rapid dissemination of false information used for various political and business objectives. Finding reliable news sources has become more difficult due to online newspapers. In this work, we gathered news articles of Hindi text from various news sources. Techniques for pre-processing, feature extraction, classification, and prediction are all extensively covered. A “Fake news detection system” has been developed in this project. Various Hindi news articles have been collected from multiple sources to help diversify the dataset and train the model better. The project first pre-processes the dataset and uses the pre-trained Bert model for feature extraction. Then, the data is classified from the dataset and prediction processes are employed on the dataset. Various machine learning algorithms and deep learning models like Naïve Bayes, Long Short-Term Memory, Logistic Regression have been employed in previous works for the purpose of detecting fake news. Pre-processing steps include data cleaning, stop words removal, tokenizing, stemming. The testing and training of the dataset include using the BERT for sequence classification model. The model is trained and tested against the validation dataset

A HYBRID RESNET–INCEPTION DEEP LEARNING ARCHITECTURE FOR ENHANCED WILDLIFE IDENTIFICATION MALACH OBISA AMONGA
IJISCS (International Journal of Information System and Computer Science) Vol 10, No 2 (2026): IJISCS (International Journal of Information System and Computer Science)
Publisher : Bakti Nusantara Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v10i2.1889

Accurate wildlife identification in unconstrained environments remains a significant challenge due to intra-class similarity, occlusions, illumination variations, and complex backgrounds. This study of hybrid deep learning architecture that enhances classification performance by integrating complementary feature learning mechanisms within a unified framework. The model captures both deep hierarchical representations and multi-scale spatial features through a feature-level fusion strategy, resulting in a more discriminative and robust representation of wildlife images. The hybrid approach was trained and evaluated on the Animals with Attributes 2 (AwA2) dataset and further validated on the WildlifeReID-10k dataset to assess its generalization capability. Experimental results show that the model achieves a classification accuracy of 98%, along with high precision, recall, and F1-score, demonstrating strong reliability and effectiveness. Furthermore, the model maintains high performance on external data, confirming its robustness and ability to generalize across diverse real-world conditions. These findings highlight the effectiveness of hybrid deep learning approaches in addressing complex wildlife identification challenges and support their application in ecological monitoring and biodiversity conservation

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Contact Name Muhamad Muslihudin

Contact Email ijiscs@ftikomibn.ac.id

Phone +6272922240

Journal Mail Official ijiscs@ftikomibn.ac.id

Editorial Address Editor IJISCS (International Journal of Information System and Computer Science) Bakti Nusantara Institute Street Wisma Rini No.09 Pringsewu, Lampung Phone: 0729-22240

Location Kab. pringsewu, Lampung INDONESIA

Abstract

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Contact Name
Muhamad Muslihudin

Contact Email
ijiscs@ftikomibn.ac.id

Phone
+6272922240

Journal Mail Official
ijiscs@ftikomibn.ac.id

Editorial Address
Editor IJISCS (International Journal of Information System and Computer Science) Bakti Nusantara Institute Street Wisma Rini No.09 Pringsewu, Lampung Phone: 0729-22240

Location
Kab. pringsewu,

Lampung

INDONESIA