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Journal Innovations Computer Science
Published by Yayasan Kawanad
ISSN : 29619718     EISSN : 2961970X     DOI : https://doi.org/10.56347/jics
Core Subject : Science,
Computer Science & IT
Journal Innovations Computer Science (JICS) is a peer-reviewed, twice-annually published international journal that focuses on innovative, original, previously unpublished, experimental or theoretical research concepts. Journal Innovations Computer Science (JICS) covers all areas of computer & information science, applications & systems engineering in computer & information science. JICS core vision is to be an innovation platform in information technology and computer science. Articles of interdisciplinary nature are particularly welcome. All published article URLs will have a digital object identifier (DOI).
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 72 Documents
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Perancangan Sistem Informasi Reservasi Berbasis Web Menggunakan Framework Codeigniter di SEI Hotel Banda Aceh Darwati, Dedek Susi
Journal Innovations Computer Science Vol. 3 No. 2 (2024): November
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jics.v3i2.249

Abstract

Guest reservation information system represents a digitalization solution for room booking processes at SEI Hotel Banda Aceh aimed at improving hotel operational efficiency. This research aims to design and implement a web-based reservation information system using CodeIgniter framework with HTML, PHP, CSS, JSON, AJAX technologies, and MySQL database. The research methodology employs a waterfall approach encompassing analysis, design, coding, testing, and maintenance phases. Data collection was conducted through literature study and field observation with direct interview techniques to hotel staff. Research results demonstrate that the developed system successfully addresses manual recording problems previously encountered by the hotel. The new system provides online room booking features, guest data management, room availability management, and automatic report generation. System advantages include increased reservation process speed, ease of data retrieval, information security through user authentication systems, and reduced recording error risks. Web-based system implementation enables unlimited time and location access, thereby enhancing service quality for prospective guests. The system has been tested and proven to significantly improve hotel reservation management effectiveness.
Sistem Penjualan Makanan Khas Aceh Berbasis Web di Toko Ridha Kue Lampisang Kabupaten Aceh Besar Mawardinur
Journal Innovations Computer Science Vol. 3 No. 2 (2024): November
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jics.v3i2.251

Abstract

Traditional Acehnese cuisine preservation requires innovative digital approaches to reach broader markets beyond local communities. This research develops a web-based sales system for Ridha Kue Lampisang Store to address current operational limitations and expand market accessibility. The store currently operates through traditional methods, serving customers only at their physical location in Lampisang, Aceh Besar, with manual transaction recording systems. Key challenges include the absence of online marketing capabilities and geographic limitations restricting customer access. This study employs a system development methodology using PHP, MySQL, JavaScript, HTML5, and CSS3 technologies to create a comprehensive e-commerce platform. The research follows a structured approach including system analysis, design, implementation, and testing phases. The developed web-based system successfully addresses operational challenges by providing 24/7 accessibility, automated transaction processing, and digital inventory management. Performance testing demonstrates excellent results with 1.2-second response time, 0.2% error rate, and 4.4/5.0 user satisfaction rating. The system achieves significant operational improvements including 60% efficiency increase, 60% faster transaction processing, and 95% inventory accuracy. Financial analysis reveals a remarkable 145% return on investment, with annual benefits of Rp 110.4 million against Rp 45 million investment. The platform successfully eliminates geographical barriers, enabling customers to purchase traditional Acehnese cakes anytime and anywhere. This digital transformation not only preserves cultural heritage but also enhances business sustainability and economic prosperity for traditional food vendors.
Pengembangan Sistem Informasi Penggajian Guru Diniyah Berbasis Web: Studi Kasus Dinas Pendidikan dan Kebudayaan Kota Banda Aceh Rizaldi, Rahmad
Journal Innovations Computer Science Vol. 3 No. 2 (2024): November
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jics.v3i2.253

Abstract

This research aims to design and develop a web-based payroll information system for diniyah teachers at the Education and Culture Office of Banda Aceh City. The problems faced by this institution are payroll processes that still use manual systems, resulting in delays in report provision, salary calculation errors, difficulties in data searching, and lack of transparency in payroll management. The research method used is descriptive method with qualitative approach through observation, interviews, and documentation study. System design uses structured approach with tools such as Data Flow Diagram (DFD), Entity Relationship Diagram (ERD), and flowchart. The research results show that the designed web-based payroll information system can overcome existing problems by providing features such as teacher data management, automatic salary calculation, report generation, and layered security system. This system has structured input design, output design in the form of comprehensive reports and recapitulations, efficient process design, control design that ensures data security, and cost design with total investment of Rp 57,548,000 per year. Implementation of this system can improve operational efficiency, calculation accuracy, management transparency, and user satisfaction. The developed system has flexible architecture and can be integrated with modern technology for further development. The research conclusion shows that web-based payroll information system provides real contribution in public service modernization and improvement of governance quality in education sector.
Sistem Pendukung Keputusan Rekomendasi Objek Wisata Terbaik di Kota Sabang menggunakan Metode Fuzzy Tsukamoto Berbasis Web Rahmatullah
Journal Innovations Computer Science Vol. 3 No. 2 (2024): November
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jics.v3i2.254

Abstract

This research examines the implementation of a decision support system for tourism destination selection using the web-based Fuzzy Tsukamoto method. With the growing tourism industry and tourists' need for accurate recommendations, a system capable of processing uncertain data and providing optimal results is required. The Fuzzy Tsukamoto method was chosen for its ability to handle linguistic and uncertain data through fuzzification, rule evaluation, and defuzzification processes. The web-based system developed enables easy and widespread user access. The research employs qualitative and quantitative approaches by analyzing important criteria in tourism destination selection such as accessibility, facilities, price, and attractions. The results demonstrate that the Fuzzy Tsukamoto implementation can provide tourism destination recommendations that match user preferences with good accuracy levels. The resulting web-based system proves to be user-friendly and can assist tourists in making appropriate decisions. This research contributes to information technology development in the tourism sector and can serve as a reference for developing similar systems in the future.
Analisis Kematangan dan Adopsi Teknologi AI Video dalam Transformasi Digital Multi-Sektoral 2025-2030 Afkar, Muhammad Agha
Journal Innovations Computer Science Vol. 3 No. 2 (2024): November
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jics.v3i2.255

Abstract

This research analyzes the development and adoption of AI Video technology through a comprehensive approach that evaluates technological maturity levels, sectoral adoption patterns, implementation challenges, and future growth projections. The analysis reveals that AI Video technology has entered a critical transformation phase from experimental to mainstream adoption with heterogeneous maturity levels across components. Object Detection has reached mature and deployment phases with widespread adoption in commercial applications, while Video Generation remains in transition from development to testing, and Edge Computing stays predominantly in research phase despite high disruptive potential. Adoption patterns show significant asymmetry across sectors, with entertainment achieving the highest adoption (90%), followed by retail (75-80%), healthcare and education (60-65%), and government showing the lowest (40-45%). Computational Cost emerges as the primary challenge (>87.5%), followed by Ethical Issues (85%) which demonstrates a significant gap between compliance requirements and current technical capabilities. Growth projections for 2025-2030 show optimism with Ethical AI projected to grow 55%, Real-time Generation 55%, and Edge Computing 50%. Convergence with other emerging technologies creates an integrated ecosystem but increases implementation complexity. Strategic recommendations include phased implementation based on technology maturity, computational infrastructure investment, comprehensive ethical framework development, and multi-stakeholder collaboration for sustainable and responsible development.
Design of a Web-Based Incoming Goods Information System to Support Logistics Performance at Bintang Technic Putra Febriansyah, Ragil
Journal Innovations Computer Science Vol. 4 No. 2 (2025): November
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jics.v4i2.299

Abstract

This study addresses logistical inefficiencies at Bintang Technic, a technical equipment trading startup in Malang Regency, East Java, where manual recording led to delays, inaccurate stock data, and limited transparency, with 10–15 monthly distribution delays and over 15% error rates in transactions. Utilizing a Research and Development (R&D) approach, a web-based information system was developed using Laravel and MySQL to streamline incoming goods management. Through qualitative data collection via observations and interviews, the system was designed with integrated database structures, role-specific dashboards for operations (item management, requests), finance (request reviews, vendor management, POs), and managers (approvals, reports), supported by use case diagrams, DFD, and ERD. Stakeholder feedback refined the design, and Black Box Testing across 21 scenarios confirmed 100% functionality, reducing processing times from 2–3 days to under 1 day and errors from 15% to below 3%. The system enhanced transparency, decision-making, and efficiency through real-time data and automation, overcoming challenges like user resistance and infrastructure limitations via training and technical support. This solution not only meets Bintang Technic’s needs but also offers a scalable model for SMEs, with potential for integration with other business modules.
User Interface Evaluation and Design Recommendations for the Tulungagung Portal Website Using the Heuristic Evaluation Method Maula, Sheila Hikmatul; Ramadhan, Viry Puspaning; Jatmiko, Andriyan Rizki
Journal Innovations Computer Science Vol. 4 No. 2 (2025): November
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jics.v4i2.300

Abstract

Government websites serve as essential platforms for delivering information and public services online, yet many still face usability challenges. The present study evaluates the user interface of the Tulungagung Regency Government website and provides interface improvement recommendations. The research utilized a heuristic evaluation method involving three evaluators and applied ten heuristic principles to identify usability issues. Data were collected through direct observation, documentation, and user questionnaires. Interface improvement recommendations were designed as a high-fidelity prototype using Figma. To test the effectiveness of the proposed design, usability testing was conducted using the System Usability Scale (SUS) method involving 25 respondents. The study found key issues including inconsistent visual design, disorganized menu structure, and lack of system feedback. The usability testing results indicated a significant increase in usability scores with the redesigned prototype compared to the original version. The research contributes to the development of more user-friendly government websites and can serve as a reference for similar interface evaluations in the public sector.
Analysis of Tokopedia Digital Security Strategy Against Cyber Threats Using the Risk Assessment Framework Approach Mirza Raziq Akbar, Muhammad; Yudhistiro, Kukuh; Rofiqul Muslikh, Ahmad
Journal Innovations Computer Science Vol. 4 No. 2 (2025): November
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jics.v4i2.301

Abstract

The rapid digitalization of commerce in Indonesia has positioned Tokopedia as a central marketplace that facilitates large-scale transactions while managing vast amounts of sensitive user data. This reliance on digital infrastructures, however, exposes the platform to escalating cyber threats that jeopardize both operational continuity and consumer trust. This study evaluates Tokopedia’s cybersecurity strategies by applying the Risk Assessment Framework derived from ISO 27001 and ISO 31000. Using a qualitative descriptive design, the research draws exclusively on secondary sources such as peer-reviewed journals, industry reports, and case studies published between 2015 and 2025. The analysis identifies five dominant risks: large-scale data breaches, phishing and identity theft, ransomware attacks, insider threats, and system misconfigurations. Risk assessment results indicate that data breaches pose the most critical threat, with phishing and ransomware classified as medium but persistent risks. Tokopedia has implemented several protective measures, including encryption, multi-factor authentication, e-KYC verification, and privacy policies. Nevertheless, gaps remain in governance, routine audits, and employee awareness, leaving the platform vulnerable to recurring incidents. A comparative analysis with global platforms highlights the importance of proactive governance, systematic risk documentation, and continuous training, areas where Tokopedia is still underdeveloped. The findings underscore that cybersecurity should be recognized not merely as a technical safeguard or financial burden but as a strategic investment essential for resilience, consumer confidence, and sustainable growth in Indonesia’s competitive digital economy.
Optimization of SMOTE Application for Classification Accuracy of Heart Disease Risk Using Artificial Neural Network Ibnu Sarky, Fauzan; Poerwandono, Edhy
Journal Innovations Computer Science Vol. 4 No. 2 (2025): November
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jics.v4i2.302

Abstract

Heart disease remains a leading cause of mortality worldwide, including in Indonesia, and is often difficult to detect at an early stage. One of the main challenges in the Indonesian healthcare system is the lack of fully digitalized data management and the issue of imbalanced patient datasets, which reduce classification accuracy. This study developed a web-based information system designed to manage patient records and automatically classify heart disease risk. The system was implemented using the CodeIgniter framework with a MySQL database, and applied an Artificial Neural Network (ANN) in combination with the Synthetic Minority Over-sampling Technique (SMOTE) to address data imbalance. A total of 60 secondary patient records were processed through preprocessing, data balancing, model training, and cross-validation. Experimental results demonstrated that the application of SMOTE improved model sensitivity, with performance metrics of 87.4% accuracy, 85.2% precision, 88.6% recall, and an AUC-ROC of 0.94. These findings confirm that integrating ANN and SMOTE into a web-based system enhances classification reliability and supports faster medical decision-making. However, the study also acknowledges certain limitations, including the restricted dataset size and the absence of validation in real clinical environments. Future work should expand the dataset, test the system in healthcare facilities, and compare performance with other algorithms such as Random Forest or SVM to identify the most optimal predictive model.
Web-Based Thrifting Platform for Selling Second-Hand Goods (Your Favorite Shirt) Setya Putri, Heravi Atha; Ayu Rosanda, Pramaysella Ayu Rosanda; Tri Anggira, Tisa; Zakialdy, Vicky Vidiana
Journal Innovations Computer Science Vol. 4 No. 2 (2025): November
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/jics.v4i2.305

Abstract

This study examines the development and implementation of Your Favorite Shirt, a web-based platform designed to modernize thrift shop operations through digital transformation. Many thrift businesses in Indonesia still rely on manual processes or social media, leading to inefficiencies in inventory management, transaction tracking, and reporting. To address these challenges, a prototype-based development method was applied, involving requirement analysis, initial design, prototype construction, user testing, and iterative refinement. The system integrates key features such as multi-role login, product catalogues, transaction management, payment options, and order tracking. Evaluation through functional testing and the PIECES framework demonstrated positive results across performance, efficiency, control, and service dimensions, with an average system response time of under one second. User Acceptance Testing (UAT) with a Likert-scale questionnaire produced a mean score of 1.85, indicating strong user satisfaction. Beyond improving operational efficiency, the platform also supports sustainable fashion practices by curating quality secondhand products and reducing textile waste. However, risk assessment identified several areas requiring improvement, including the absence of a Business Continuity Plan, limited access control mechanisms, and lack of systematic documentation. Future development should focus on integrating social media APIs, implementing product recommendation systems, enhancing layered security, and deploying analytical dashboards to support data-driven decision-making.

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