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Andi Nur Rachman
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Department of Information Systems, Faculty of Engineering, Siliwangi University Tasikmalaya email: jaisi@unsil.ac.id Jalan Siliwangi No. 24 Kelurahan Kahuripan Kecamatan Tawang Kota Tasikmalaya 46115
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International Journal of Applied Information Systems and Informatics
Published by Universitas Siliwangi
ISSN : -     EISSN : 3031254X     DOI : https://doi.org/10.37058/jaisi
Core Subject : Science,
Computer Science & IT
International Journal of Applied Information Systems and Informatics (JAISI) is an international journal in Information Systems and Informatics as a forum for research publications that are systematically arranged based on clear background, appropriate methods, well presented research results, as well as concise conclusions and reference sources appropriate. Journal of Applied information Systems and Informatics (JAISI) published every 2 (two) times in a year on Mei and November.. JAISI has open access for public so that articles are published online and can be accessed for free without having to subscribe. Articles submitted must be written in English for initial review by the editor and further review by the reviewer. JAISI is managed by the Information Systems Department, Faculty of Engineering, Siliwangi University.
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 40 Documents
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EDUTRACE: A Web Based Early Warning System for Detecting Out-of-School Children in Tasikmalaya Dasya Arief Firmansyah; Jovita Edgina; Irfan Nafis Sjamsuddin
Journal of Applied Information System and Informatic (JAISI) Vol 4, No 1 (2026): MEI 2026
Publisher : Deparment Information System, Siliwangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jaisi.v4i1.18281

Abstract

The problem of out-of-school children (OTS) is one of the most persistent challenges in the Indonesian education system. Tasikmalaya Regency recorded 29,949 children aged 7–18 years who were not receiving education as of October 2025, while West Java reported 658,831 OTS, the highest absolute figure nationally. The persistence of this problem is caused by three systemic gaps: fragmentation between the Dapodik (Ministry of Education and Culture) and EMIS (Ministry of Religious Affairs) data systems, the absence of an early warning mechanism to identify at-risk students before they drop out, and the unregistered status of thousands of salafiyah Islamic boarding schools (pesantren) whose students are incorrectly classified as OTS. This paper presents the design and development of a prototype of EDUTRACE (Education Tracking and Early Alert System), a web-based information system developed using React, TypeScript, Vite, and Tailwind CSS. The system integrates data from various educational registries, provides a machine learning-based risk assessment mechanism for early identification of at-risk students, and automates notification to stakeholders. The research used a literature review methodology combined with prototype development, without formal usability testing. The resulting prototype demonstrates the feasibility of a data-driven, preventive approach to addressing ATS in a local government context. EDUTRACE contributes to the achievement of SDG 4 (Quality Education), specifically Targets 4.1, 4.5, and 4.6, by enabling earlier and more targeted educational interventions. The system's modular architecture allows for phased implementation across schools, villages, and sub-district education offices.
Agile Based Development of a Web Ticketing Platform Using Scrum: A Case Study of the A5 Ticket System Yenni Fatman; Mukhlis Aburizal Khordowi; Ikbal Hidayat Pratama
Journal of Applied Information System and Informatic (JAISI) Vol 4, No 1 (2026): MEI 2026
Publisher : Deparment Information System, Siliwangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jaisi.v4i1.18263

Abstract

This study presents an agile based development of a web ticketing platform A5 Ticket using the Scrum framework, examined through a case study approach. The primary motivation is to address the growing need for an efficient, scalable, and user centric online ticket management system in the digital era, capable of serving end users, event organizers, and system administrators within a single integrated platform. The Scrum framework was adopted as the development methodology for its iterative and collaborative nature, which engages stakeholders at every stage of the development cycle. The system was developed through six Scrum stages: Product Backlog, Sprint Planning, Sprint Execution, Daily Stand-Up, Sprint Review, and Sprint Retrospective. Key features of the developed platform include user registration and login, ticket search and ordering, event management for organizers, sales reporting for administrators, and payment gateway integration. The platform is accessible on both desktop and mobile devices, featuring an intuitive, responsive user interface. The research findings highlight the effectiveness of the Scrum methodology in ensuring platform responsiveness, data security, and ease of use. User satisfaction was evaluated using a Likert scale survey distributed to users, organizers, and administrators, while qualitative insights were gathered through semi structured interviews. The results demonstrate that agile driven iterative development through Scrum effectively addressed user requirements at each sprint cycle, leading to a functional, secure, and user friendly event ticketing platform. This case study contributes practical evidence on the application of Scrum in web-based ticketing system development and serves as a reference for future agile software engineering projects in similar domains
Development of a Sustainable Fashion Mobile Application Prototype Using Rule-Based Filtering Approach Nila Natalia; Zahra Ramadhani Putri; Irfan Nafis Sjamsuddin
Journal of Applied Information System and Informatic (JAISI) Vol 4, No 1 (2026): MEI 2026
Publisher : Deparment Information System, Siliwangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jaisi.v4i1.18276

Abstract

Abstract— Rapid growth in the fast fashion industry has increased consumer behavior, especially among college students. This growth led to a surge in textile waste. This study aims to design and develop a mobile application prototype named "ReHue" as a digital solution. The app promotes sustainable fashion through a smart wardrobe management and donation system. This study uses a quantitative, applied approach. It focuses on UI/UX design in Figma and prototyping with React Native. Materials analyzed include literature on the circular economy, rule-based filtering algorithms, and textile waste management. The proposed system applies a rule-based filtering approach. It gives personalized clothing recommendations based on real-time weather and the user's color profile. The system uses a threshold-based tracking mechanism. It triggers notifications when clothing has been unworn for more than 210 days, encouraging users to donate through a gamified feature. Experimental results from logic scenario testing show the system can execute recommendation rules and trigger alerts as intended. By offering monetary rewards in the donation flow, the system incentivizes users to reduce textile waste. This research suggests ReHue can help transform impulse-buying habits into ecological actions. Future research should integrate real-time API connectivity and advanced machine learning models to improve recommendations and user engagement across wider reverse logistics networks. Keywords— Sustainable fashion; Smart wardrobe; Rule-based filtering; Mobile application; Textile waste
Application of Scoring Methods in Web-Based Information Systems to Optimize Incentive Allocation for Honorary Teachers Muhammad Fazel Ar Razia; Andi Nur Rachman; Genta Nazwar Tarempa
Journal of Applied Information System and Informatic (JAISI) Vol 4, No 1 (2026): MEI 2026
Publisher : Deparment Information System, Siliwangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jaisi.v4i1.18265

Abstract

The distribution of incentive funds to honorary teachers in Indonesia is generally still carried out evenly without considering the differences in the real conditions of each recipient, resulting in proportional injustice. This study aims to design a prototype of a web-based Management Information System that applies a proportional scoring algorithm to optimize the allocation of incentive funds for honorary teachers. The methodology used is a prototyping approach with dummy data simulations, without field observations at specific institutions. The system is designed using native JavaScript and modelled with Unified Modelling Language (UML). The scoring algorithm weights four main variables: base points, income level, school geographic conditions, and educational level taught. Funds are then distributed proportionally based on each teacher's total points with a maximum limit equivalent to the City Minimum Wage (UMK). The system separates access between teachers and administrators, is equipped with a multilevel approval workflow, timeline-based status tracking, a statistical dashboard, allocation simulations, and reporting in PDF format. The design results show that the proportional scoring algorithm is able to produce a fairer and more transparent distribution than the flat method. Testing the algorithm's logic using simulated data resulted in 100% calculation consistency according to the defined rules. The implications of this research are expected to serve as a framework of reference for philanthropic institutions or zakat managers who wish to digitize the process of data collection and distribution of incentive funds to honorary educators in a more objective, accountable, and equitable manner.
Transaction Processing System for Incoming and Outgoing Goods at BUMDes Kamulyan Store, Tasikmalaya Regency Novia Nurul Hidayah; Didin Syahidin
Journal of Applied Information System and Informatic (JAISI) Vol 4, No 1 (2026): MEI 2026
Publisher : Deparment Information System, Siliwangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jaisi.v4i1.18229

Abstract

BUMDes Kamulyan Store is a village-owned enterprise unit that plays a role in fulfilling community needs while supporting local economic growth. To ensure orderly and efficient operations, a system for recording incoming and outgoing goods transactions is required. This study aims to produce a proposed information system design to facilitate and streamline the data processing of goods transactions at BUMDes Kamulyan Store. The research employs a descriptive method. The system is developed using the Prototype method, supported by analytical tools such as Flowmaps, Context Diagrams, Data Flow Diagrams (DFD), and Entity Relationship Diagrams (ERD). The system design is implemented using Microsoft Visual Studio 2008 with the C# (C-Sharp) programming language, and Microsoft Office Access as the database design tool. The results of the study indicate that the recording of goods transactions at BUMDes Kamulyan Store, Tasikmalaya Regency, is still conducted manually using transaction books. The proposed information system, developed using Microsoft Visual Studio and the C# programming language, has proven to facilitate and improve the process of recording and reporting incoming and outgoing goods transactions more quickly and accurately.
Global Sentiment Analysis of Video Surveillance Technology Using BERT Syifaa Puspita Rahayu; Ade Bastian; Dadan Zaliluddin; Ii Sopiandi; Ardi Mardiana
Journal of Applied Information System and Informatic (JAISI) Vol 4, No 1 (2026): MEI 2026
Publisher : Deparment Information System, Siliwangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jaisi.v4i1.17249

Abstract

The significant imbalance between population growth and the availability of video surveillance systems in several major cities across different countries has raised concerns regarding the effectiveness of public space monitoring. As urban areas become increasingly dense and complex, CCTV is expected to function not only as a security support tool but also as part of a broader strategy for crime prevention, public safety, and urban management. However, the implementation of video surveillance also generates diverse public opinions, especially on social media platforms such as Twitter (X), where users actively express their views, support, concerns, and criticism. This study aims to identify public sentiment trends toward video surveillance and evaluate the performance of the BERT (Bidirectional Encoder Representations from Transformers) model in classifying these sentiments. The research uses social media data collected from various countries and applies BERT as a contextual natural language processing model. The findings show that most users expressed positive sentiments toward video surveillance, indicating that CCTV is generally perceived as beneficial for improving security and monitoring public spaces. In terms of model performance, BERT achieved its highest accuracy of 0.85 during the third trial at epoch 15. However, a slight decrease in accuracy occurred at epoch 20, indicating the possibility of overfitting when the model was trained for too long. These findings suggest that BERT is effective in capturing public opinion contextually and can be used as a valuable analytical tool to support evidence-based decision-making related to surveillance technology implementation in urban environments.
Mitigating Digital Hoarding: The Implementation of Automated Data Decay and UCD in Cloud Storage Management Ratih Prahadila Rahayu; Syahrul Rifat Firdaus; Andi Nur Rachman
Journal of Applied Information System and Informatic (JAISI) Vol 4, No 1 (2026): MEI 2026
Publisher : Deparment Information System, Siliwangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jaisi.v4i1.18274

Abstract

The rapid digitization of personal and organizational workflows has exacerbated the phenomenon of digital hoarding, leading to critical storage overload, inefficient resource allocation, and reduced system performance in cloud-based environments due to passive data accumulation and inactive archive piling. Many users tend to preserve files indefinitely without proper categorization or deletion, causing unnecessary storage expansion and increased maintenance complexity over time. This study aims to develop LUMEN (The Living Archive), a novel intelligent file management system that implements an automated “data decay” algorithm to shift the burden of file organization from the user to the system itself. The proposed methodology integrates Data Lifecycle Management (DLM) principles mapped through Business Process Model and Notation (BPMN), while utilizing Python and Flask for backend processing and User Centered Design (UCD) principles to create an intuitive and accessible frontend interface. The system evaluates the temporal differential between current and last-accessed timestamps, translating file vitality into a gradually fading visual representation that provides psychological nudges encouraging users to review or remove neglected data. A 90-day storage optimization simulation was conducted to quantitatively evaluate the system’s effectiveness and operational efficiency. The results demonstrate that LUMEN’s automated purging and retention policies successfully eliminate redundant and inactive data, achieving a 70% reduction in storage capacity consumption compared to traditional static storage models. Furthermore, the system significantly minimizes manual intervention, human error, administrative workload, and computational overhead. The implications of this research indicate that automated organic archiving can effectively mitigate digital hoarding behaviors while maximizing resource utilization for sustainable data management practices. Future research should explore the integration of advanced compression methods, such as Goldbach Codes, alongside comprehensive user acceptance evaluation using the Technology Acceptance Model (TAM) to further improve usability, system comfort, and memory efficiency.  Keywords— Digital Hoarding; Data Decay; User Centered Design; Cloud Storage Optimization; Data Lifecycle Management
ShopTips: Design and Development of an AI-Based Web Application for Automating E-Commerce Product Marketing Content Yoga Handoko Agustin; Alwan Nugraha Putra
Journal of Applied Information System and Informatic (JAISI) Vol 4, No 1 (2026): MEI 2026
Publisher : Deparment Information System, Siliwangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jaisi.v4i1.18221

Abstract

The rapid growth of e-commerce has prompted sellers to produce compelling product descriptions quickly and efficiently. However, many sellers lack the copywriting skills needed to craft persuasive marketing content from raw product specifications. This research aims to design and implement ShopTips, an AI-powered web application that transforms product data into ready-to-use marketing content. The system was developed using a web-based architecture consisting of an HTML/CSS/JavaScript frontend, a Node.js with Express.js backend, MongoDB as the database, and an external AI API for natural language generation. The development methodology followed the Waterfall model, encompassing requirement analysis, system design, coding, testing, and evaluation phases. ShopTips enables users to input product details such as name, category, description, specification, target market, and sales platform. The system then generates persuasive product descriptions, Unique Selling Points (USPs), SEO keywords, call-to-action phrases, social media captions, and a multi-dimensional content quality score encompassing clarity, persuasion, SEO, and emotional dimensions. In addition, the application provides structured feedback to help users refine and improve their content iteratively, making it a practical tool for both novice and experienced sellers. The system is also designed with a simple and user-friendly interface to ensure ease of use and accessibility for micro, small, and medium enterprises (MSMEs). Functional testing using black-box methods showed that all eight primary endpoints operated as intended without critical errors. User acceptance testing with 30 respondents yielded a satisfaction score of 85.6%, indicating high acceptability and usability. The findings demonstrate that the application significantly reduces the time required to produce marketing content while improving overall content quality. Therefore, ShopTips can serve as an effective solution for sellers who lack advanced writing skills and need efficient content generation tools. Future research may explore user authentication, export features, direct marketplace integration, and competitor analysis functionality to further enhance system capabilities and scalability.
TemuKita: Web-Based Accessible Tourism Recommendation System with Disability Profile Personalization Ricky Rohmanto; Nandika Aditia
Journal of Applied Information System and Informatic (JAISI) Vol 4, No 1 (2026): MEI 2026
Publisher : Deparment Information System, Siliwangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jaisi.v4i1.18275

Abstract

The development of inclusive tourism in Indonesia faces significant challenges, particularly in providing accessible information for people with disabilities. Existing travel platforms rarely accommodate the specific needs of users with physical, visual, hearing, or intellectual disabilities, resulting in limited access to tourism destinations and services. This study aims to design and implement TemuKita, a web-based accessible tourism recommendation system that personalizes destination suggestions based on individual disability profiles. The system was developed using the Django framework with the Python programming language, PostgreSQL as the database management system, and Tailwind CSS to create a responsive mobile-first user interface that can be accessed easily from various devices. The development methodology follows the Prototype model, encompassing requirements analysis, system design, implementation, evaluation, and testing phases. TemuKita provides several key features including automatic accessibility filtering based on disability profiles, verified destination information with accessibility scores, inclusive service booking such as sign language guides and wheelchair-accessible transportation, a real-time chat system for communication between users and service providers, and a simulation-based payment system. In addition, the platform offers user reviews and recommendations to improve the reliability of accessibility information for future visitors. Black-box testing results demonstrate that all system features function correctly according to the specified requirements. The system successfully filters tourism destinations automatically based on user disability profiles, improving the relevance and accuracy of recommendations for users with disabilities. This research contributes to the development of inclusive digital tourism infrastructure in Indonesia, particularly for the Tasikmalaya region, and demonstrates the feasibility of building accessible tourism platforms using open-source technologies to support equal tourism opportunities for all users. Keywords— Accessible tourism; disability; Django framework; web-based system; recommendation system; inclusive tourism
Design and Development of UI/UX for Viclerent Mobile Application in Online Vehicle Rental Services Erwin Teguh Arujisaputra; Sunja Hana Salsabila; Sheira Putri Nabilla; Genta Nazwar Tarempa
Journal of Applied Information System and Informatic (JAISI) Vol 4, No 1 (2026): MEI 2026
Publisher : Deparment Information System, Siliwangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jaisi.v4i1.18226

Abstract

— The advancement of digital technology has encouraged the emergence of mobile-based innovations, including vehicle rental services. However, many existing applications still fail to prioritize user convenience, resulting in unintuitive interfaces, unclear information, and inefficient navigation flows. This study aims to design and develop the user interface (UI) and user experience (UX) of the Viclerent mobile application, an online vehicle rental platform that emphasizes usability, accessibility, and user comfort. The design process adopts the Design Thinking approach, which consists of five stages: Empathize, Define, Ideate, Prototype, and Test. Data collection was conducted through questionnaires distributed to potential users to identify their needs, problems, and preferences in using digital vehicle rental services. The findings were analyzed to produce design artifacts such as User Personas, Empathy Maps, Affinity Diagrams, pain points, and solution ideas. These artifacts guided the creation of Wireframes and Prototypes using design tools, ensuring that the application design was structured, intuitive, and responsive. The Prototype was then tested with users to evaluate usability, satisfaction, and effectiveness in supporting the rental process. Results indicate that the proposed design improves transparency of rental costs, simplifies booking procedures, and enhances trust through features such as real-time vehicle availability, flexible payment methods, and reliable review systems. Overall, the Viclerent UI/UX design demonstrates the potential to deliver a user-friendly, efficient, and innovative digital solution, thereby improving accessibility, convenience, and satisfaction in mobile-based vehicle rental services.

Page 4 of 4 | Total Record : 40

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