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All Journal JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal Teknovasi : Jurnal Teknik dan Inovasi Mesin Otomotif, Komputer, Industri dan Elektronika Jurnal Inotera JurTI (JURNAL TEKNOLOGI INFORMASI) The IJICS (International Journal of Informatics and Computer Science) Jurnal Riset Informatika Manutech : Jurnal Teknologi Manufaktur REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Science Midwifery INFOKUM Jurnal Sistem Komputer dan Informatika (JSON) Journal of Science and Education (JSE) INCODING: Journal of Informatics and Computer Science Engineering Instal : Jurnal Komputer Jurnal Ekonomi Jurnal Masyarakat Indonesia Data Sciences Indonesia (DSI) The Indonesian Journal of Computer Science Jurnal Hasil Inovasi Masyarakat (JHIM) Tsabit
Rizaldy Khair
Universitas Muhammadiyah Sumatera Utara
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Physics Public Health Social Sciences Veterinary Other

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Integrating Automatic Stock Monitoring and Digital Inventory Systems for MSMEs A Mobile Application Approach (Case Study in Serang City, Indonesia) Arizta Putri , Rezty; Mariestiara Putri , Salsanabila; Mardiah, Hayatul; Khair, Rizaldy
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 9 No. 2 (2026): Issues January 2026
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v9i2.16111

Abstract

Micro, Small, and Medium Enterprises (MSMEs) in Indonesia continue to face inefficiencies in inventory management due to manual stock recording, data inconsistency, and delays in operational decision-making. In Serang City, these challenges often lead to stockouts, excess inventory, and limited business scalability. This study aims to develop and evaluate a mobile-based automated inventory management system that supports real-time stock monitoring and decision-making for MSMEs. The research employs a Research and Development (R&D) approach integrated with the Agile-Scrum methodology, encompassing problem identification, user requirement analysis, system design, prototype development, functional testing, and usability evaluation. Functional validation was conducted using black box testing, while system usability was assessed using the System Usability Scale (SUS) involving 15 MSME users. The results indicate that all core system functions achieved a 100% success rate, including automated stock recording, cloud-based data synchronization, real-time notifications, and dashboard analytics. The usability evaluation produced an average SUS score of 82.5, classified as Excellent, indicating high user acceptance and ease of use. These findings demonstrate that the proposed system effectively improves inventory accuracy, operational efficiency, and decision-making quality, contributing to MSME digital transformation in developing regions.
Design and Engineering of an AI-Enabled Mobile Microlearning Application Integrating Short-Form Video and Learning Analytics for Vocational Soft Skills Development Rosdiana; Hadiyana, Rizky Wahyu; Putra, Fikri Adi; Khair, Rizaldy
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 9 No. 2 (2026): Issues January 2026
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v9i2.16292

Abstract

The rapid growth of mobile technologies has reshaped how learning systems are designed, deployed, and evaluated, particularly in vocational education contexts. From a Mobile Software Engineering perspective, learning platforms must address constraints such as short interaction cycles, heterogeneous devices, scalability, and real-time analytics. This study focuses on the design and engineering of an AI-enabled mobile microlearning application that integrates short-form video, learning analytics, and LMS services to support vocational students’ soft-skills development. The proposed system is engineered as a mobile-first application with modular micro-content (60–180 seconds), rule-based personalization, and event-driven analytics to capture user interaction patterns. A Research and Development approach using the ADDIE framework is adopted, with emphasis on the software design, architecture, and prototyping stages. Validation involves expert review of system usability, content–software alignment, and limited pilot testing with end users. The results demonstrate that a mobile-engineered microlearning system can achieve high completion rates, acceptable latency under concurrent access, and effective analytics-driven feedback loops. The study contributes a practical mobile software engineering artefact and design insights for AI-enabled learning applications in vocational education.
Design and Field Evaluation of a Smart-Contract FinTech Model for MSME Financial Accountability and Transparency in Medan Surbakti, Eka Wulandari; Hasibuan, Siska; Almadany, Khairunnisa; Khair, Rizaldy
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 9 No. 2 (2026): Issues January 2026
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v9i2.16411

Abstract

Digital transformation requires Micro, Small, and Medium Enterprises (MSMEs) to enhance financial transparency and accountability in order to support Indonesia’s digital economic growth. This research is motivated by the limitations of traditional MSME accounting systems, which are still dominated by manual record-keeping, vulnerable to data manipulation, and characterized by limited access to digital accounting technologies. These conditions may reduce trust from business partners and financial institutions. Blockchain-based smart contract technology offers an innovative solution by enabling transparent, automated, and immutable financial transactions. This study aims to design a smart contract–based digital accounting system suitable for implementation by MSMEs in Medan City. The research adopts a Research and Development (R&D) approach combined with Design Science Research (DSR). The research stages include user needs identification, system design using the Solidity programming language, prototype development on the Ethereum Testnet, and testing through MSME transaction scenarios. System evaluation was conducted through functional testing and end-user interviews, revealing significant improvements in key financial accountability indicators, along with a high system usability score (SUS = 77.12) and strong adoption intention. The proposed system is expected to deliver a real-time, automated, and tamper-resistant accounting model that strengthens MSME financial accountability and competitiveness within the digital economy ecosystem..
Implementation of Deep Learning using the Convolutional Neural Network (CNN) Method to Improve Attedance List Lestari, Wirna; Khair, Rizaldy
Tsabit Journal of Computer Science Vol. 2 No. 2 (2025): December Edition
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/tsabit58

Abstract

Efficient and accurate employee attendance recording is a vital aspect of human resource management, including within the Faculty of Computer Science and Information Technology, Universitas Muhammadiyah Sumatera Utara (FIKTI UMSU). This study focuses on enhancing the efficiency of the attendance system through the application of Deep Learning techniques, particularly the Convolutional Neural Network (CNN), which serves to automatically detect and recognise faces from visual data. The web-based application developed in this research employs programming languages such as Python, HTML, PHP, CSS, and JavaScript, with MySQL as the database system, and is designed to support two user roles: administrator and end-user. The findings indicate that the implementation of the CNN method enables real-time image processing, reduces the potential for fraud in manual attendance, and improves the accuracy and efficiency of attendance recording. Based on testing, the application functions effectively, provides a user-friendly interface, and is capable of delivering reliable automated attendance documentation.
Co-Authors Abd Rachman Abubar Abrar Hadi Ade Johar Maturidi Agung Satria Wiguna Ahmad Faisal Aini, Zahratul Amren S, Hairul Arizta Putri , Rezty Asri Santosa Asrul Sani Ayub Wimatra Bahrun Ali Murtopo Br Lubis, Ika Rahmadani Budiyantara, Agus Catra Indra Catra Indra Cahyadi Cut Roza Asminanda Darmeli Nasution Dian Noviandri Dwiyanto . Ekatri Ayuningsih Eriansyah Saputra H F Fajrillah Fithriyah Patriotika Hadi Prayitno Hadiyana, Rizky Wahyu Hanny Hafiar Harahap, Nirmalahaty Harahap, Nurmahendra Hasibuan, Siska HERY DIA ANATA BATUBARA Ibrahim Iswandi Idris Iswandi Idris Iswandi idris Izhary Siregar Jaman Amadi Jhoni Hidayat Kamaliah Ainun Khairunnida Khairunnisa Almadany Lestari, Wirna Liber Tommy Hutabarat Lilis Saryani Lisnawati Lubis, Hamidah Azzahrah S Lubis, Ika Rahmadani M. Amril Siregar M. Syahputra Madany, Khairunnisa Al Mardiah, Hayatul Margolang, Julfansyah Mariestiara Putri , Salsanabila Mariestiara Putri, Salsanabila Mirnawati Mirnawati Mirwan Aziz Ritonga Muhammad Zikri Mujiburohman, Mujiburohman Mustafid Mustafid Niasty Lasmy Zaen Nila Hayati Nirmalahaty Harahap Nurliadi Nurliadi Pangaribuan, Hose Ronaldo Panjaitan Albert Panjaitan, Albert Putra, Fikri Adi R Rizal Isnanto Raden Mohamad Herdian Bhakti Rahmah, Maulidya Ramadani Renny Lubis Rino Subekti Rosdiana RR. Aryanti Kristantini Ruri Aditya Sari S Sipur S, Mutiara Widasari S, Rossi Peter Santosa, Asri Sari, Indah Vusvita Sembiring, Rinawati Siregar, M. Amril Siregar, Muhammad Amril Siti Aisyah Sunardi Sunardi Sunardi Sunardi Sunardi Surbakti, Eka Wulandari Suyatmo Syafriwel, Syafriwel Sylvia, Tiara Ulfa Hasnita Usman Usman Vickri Febrian Wiguna, Agung Satria Wisnu Yudhistira Yeni Rachmawati Yudhistira, Wisnu Yusdartono, Muhammad Habib Zubaidah Hanum