Article Per Year (5 Year)
p-Index From 2021 - 2026
5.639
P-Index
This Author published in this journals
All Journal IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature 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 Hello World Jurnal Masyarakat Indonesia Data Sciences Indonesia (DSI) Indonesian Journal of Science, Technology, and Humanities Nusantara Journal of Multidisciplinary Science Jurnal Ilmu Komputer dan Sistem Informasi The Indonesian Journal of Computer Science Tsabit Journal of Research and Public Horizons
Rizaldy Khair
Universitas Muhammadiyah Sumatera Utara
Religion 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 Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Nursing Physics Public Health Social Sciences Veterinary

Published : 62 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 62 Documents
Search

 3   4   5   6   7 
Analisa Dan Segmentasi Wilayah Rawan Gempa Di Sumatera Utara Menggunakan K-Means Clustering Roni Pashla Ritonga; Rizaldy khair
Journal of Research and Public Horizons Vol. 2 No. 1 (2026): Juni : Journal of Research and Public Horizons
Publisher : PT. Lembaga Penerbit Penelitian Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65244/jrph.v2i1.803

Abstract

Penelitian ini bertujuan untuk melakukan segmentasi wilayah rawan gempa bumi di Kabupaten Tapanuli Utara menggunakan metode K-Means Clustering. Data yang digunakan berasal dari United States Geological Survey (USGS) periode 2000–2025 dengan parameter latitude, longitude, magnitudo, dan kedalaman. Tahapan penelitian meliputi pembersihan data, normalisasi, serta penentuan jumlah cluster menggunakan metode Elbow dan Silhouette Score. Hasil menunjukkan bahwa jumlah cluster optimal adalah lima. Hasil clustering menunjukkan bahwa persebaran gempa tidak merata dan membentuk kelompok dengan karakteristik berbeda. Cluster dengan kedalaman gempa dangkal memiliki potensi risiko lebih tinggi dibandingkan cluster lainnya. Penelitian ini diharapkan dapat menjadi dasar dalam memahami pola kerawanan gempa serta mendukung upaya mitigasi bencana di wilayah penelitian.
Perancangan Kandang Kuncing Pintar Berbasis Internet of Things (IoT) Daris Fauzan Abila; Rizaldy Khair
Hello World Jurnal Ilmu Komputer Vol. 4 No. 4 (2026): Edisi Januari
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Seiring dengan meningkatnya minat masyarakat dalam memelihara kucing, tantangan dalam merawatnya juga bertambah, terutama bagi pemilik yang memiliki aktivitas padat. Kesulitan tersebut seringkali meliputi kurangnya jadwal pemberian pakan yang teratur, kurangnya hidrasi, dan kebersihan litterbox yang tidak terpantau, yang dapat berdampak negatif pada kesehatan hewan peliharaan. Penelitian ini bertujuan untuk mengatasi masalah tersebut dengan merancang dan mengimplementasikan sebuah sistem kandang kucing pintar berbasis Internet of Things (IoT). Sistem ini memiliki tiga fitur utama: pemberian pakan otomatis secara terjadwal, otomasi pemberian minum, serta monitoring dan penanganan bau di litterbox.Metode yang digunakan dalam penelitian ini adalah prototyping. Sistem dibangun menggunakan mikrokontroler ESP32 sebagai unit kendali utama. Untuk subsistem pakan, digunakan motor servo, sensor load cell untuk menakar berat pakan, dan sensor ultrasonik untuk memonitor level pakan. Untuk subsistem minum, digunakan sensor water level dan pompa air mini yang dikendalikan oleh relay. Sementara itu, untuk litterbox, digunakan sensor ultrasonik untuk mendeteksi keberadaan kucing dan ultrasonic mist maker untuk penanganan bau. Seluruh sistem terintegrasi dengan antarmuka pengguna berupa dashboard berbasis web dan notifikasi melalui aplikasi Telegram, yang memungkinkan pemantauan dan kontrol dari jarak jauh secara real-time. Hasil dari penelitian ini membuktikan bahwa sistem dapat berjalan dengan baik, berhasil mengotomatiskan proses perawatan, dan memberikan kemudahan bagi pemilik kucing.
Analisis Potensi Customer Churn Menggunakan Algoritma Decision Tree (C4.5) Pada Indibiz Telkom Regional I Nadhilah Syafitri; Rizaldy Khair
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 5 No. 2 (2025): Mei 2026
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v5i2.357

Abstract

This study analyzes the potential for customer churn among Indibiz Telkom Regional I business customers by implementing the Decision Tree C4.5 algorithm. The primary issue addressed is the high risk of losing business customers, which impacts revenue stability. This research develops an automated classification system utilizing customer behavior attributes such as payment status, total tickets, and total complaints. The research methodology includes data collection, preprocessing, calculating entropy and information gain, and constructing a decision tree. The results reveal that the "total ticket" attribute has the highest gain ratio, indicating that the frequency of service disruptions is the most dominant factor in triggering churn. Testing of the developed web-based system demonstrated an accuracy rate of 68% in classifying customers into churn and non-churn categories. The implementation of the C4.5 algorithm proves effective in mapping customer behavior patterns and serves as a decision support instrument for management to determine more targeted customer retention strategies.
An AI-Based Adaptive Learning Framework for Strengthening Civic Competence and Digital Literacy among University Students Hamidah Azzahrah S Lubis; Rizaldy Khair; Balqis Alhumairah
IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature Vol. 14 No. 1 (2026): IDEAS: Journal on English Language Teaching and Learning, Linguistics and Lite
Publisher : Universitas Islam Negeri Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24256/ideas.v14i1.10096

Abstract

This study developed and evaluated an AI-based adaptive learning framework intended to strengthen civic competence and digital literacy among university students at Universitas Muhammadiyah Sumatera Utara. The study responded to a limitation found in many adaptive learning systems, namely their dominant emphasis on academic achievement while rarely operationalizing civic-digital indicators as triggers for personalization. Using Design Science Research combined with mixed methods, the study was conducted through six iterative stages: needs assessment, co-design of indicators, instrument development and validation, prototype development, quasi-experimental implementation, and evaluation of usability, explainability, and fairness. The final framework consisted of five interconnected layers: diagnostic profiling, civic-digital analytics, adaptive recommendation engine, explainability and reflection, and governance and fairness control. The intervention involved 124 students in four classes, with two classes assigned to the intervention group and two to the control group. The results showed that the intervention group achieved stronger gains in civic competence and digital literacy than the control group. The prototype also obtained an acceptable usability score (SUS = 81.4; UMUX-Lite = 84.7) and its recommendation explanations were considered understandable by both students and lecturers. The study contributes a localized measurement instrument, a practical ethical-AI implementation blueprint, and an adaptive learning design that integrates academic support with responsible digital citizenship.
Implementation of Deep Learning using the Convolutional Neural Network (CNN) Method to Improve Attedance List Wirna Lestari; Rizaldy Khair
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.
Integrating Blockchain-Based Smart Contracts for Digital Certification: A Micro-Credentials Model for Vocational Higher Education Maulidya Rahmah; Ika Rahmadani Br Lubis; Rizaldy Khair
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.v9i2.16045

Abstract

The rapid advancement of the digital industry requires vocational education in Indonesia to undergo transformation, particularly in providing competency validation systems that are efficient, adaptive, and trustworthy. In reality, however, competency certification processes in many vocational institutions are still conducted manually and tend to be bureaucratic, limiting their ability to respond to the dynamic needs of industry. This condition may reduce graduates’ competitiveness and widen the skills gap between vocational education and the labor market. Micro-credentials have emerged as an innovative approach to recognizing competencies in a modular, flexible, and industry-oriented manner. Nevertheless, their implementation still faces significant challenges, especially in terms of validation speed, reliability, and transparency. To address these challenges, this study develops a micro-credential–based competency validation model integrated with blockchain technology through the use of smart contracts at Politeknik LP3I Medan. This research adopts a Research and Development (R&D) approach based on the Borg and Gall model, including needs analysis, learning module design, system development, limited trials, expert validation, and effectiveness evaluation. Alpha testing involving 15 students demonstrates a system success rate of 95%, with an average verification time of 14.4 seconds. Usability evaluation indicates that the system is user-friendly and well accepted.
Development of a Smart IoT Dashboard for Sustainable River Water Quality Monitoring in Ciujung River Salsanabila Mariestiara Putri; Mujiburohman Mujiburohman; Rizaldy Khair
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.v9i2.16063

Abstract

The water quality of the Ciujung River in Serang has experienced a significant decline due to domestic and industrial waste pollution, directly affecting public health and environmental sustainability. Current monitoring systems remain largely manual and lack responsiveness, resulting in delayed and less data-driven pollution management. This study aims to develop an Internet of Things (IoT)-based water quality monitoring system integrated with an intelligent dashboard to support sustainable environmental programs. The proposed system monitors key water quality parameters, including pH, temperature, turbidity, and total dissolved solids (TDS), in real time. The methodology includes designing a microcontroller-based sensor prototype, integrating data communication modules (LoRa/GSM), processing data via a cloud server, and implementing interactive visualization through a web-based dashboard. Furthermore, the system features an early warning mechanism when water parameters exceed environmental quality thresholds. Field trials are conducted at several strategic points along the Ciujung River to evaluate data acquisition reliability, connectivity stability, and sensor accuracy. The expected outcome is an efficient, responsive, and adaptive monitoring system that supports data-driven decision-making in river water management and reinforces commitments to sustainable development.
Integrating Automatic Stock Monitoring and Digital Inventory Systems for MSMEs A Mobile Application Approach (Case Study in Serang City, Indonesia) Rezty Arizta Putri; Salsanabila Mariestiara Putri; Hayatul Mardiah; Rizaldy Khair
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; Rizky Wahyu Hadiyana; Fikri Adi Putra; Rizaldy Khair
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 Eka Wulandari Surbakti; Siska Hasibuan; Khairunnisa Almadany; Rizaldy Khair
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..
Co-Authors Abd Rachman Abubar Abrar Hadi Ade Johar Maturidi Agung Satria Wiguna Ahmad Faisal Ahmad Faisal Aini, Zahratul Amren S, Hairul Asri Santosa Asrul Sani Ayub Wimatra Balqis Alhumairah Budiyantara, Agus Catra Indra Catra Indra Cahyadi Cut Roza Asminanda Daris Fauzan Abila Darmeli Nasution Dian Noviandri Dwiyanto . Eka Wulandari Surbakti Ekatri Ayuningsih Eriansyah Saputra H F Fajrillah Fikri Adi Putra Hadi Prayitno Hamidah Azzahrah S Lubis Hasibuan, Siska Hayatul Mardiah HERY DIA ANATA BATUBARA Ibrahim Ika Rahmadani Br Lubis Iswandi idris Iswandi Idris Iswandi Idris Jaman Amadi Jhoni Hidayat Jhoni Hidayat Julfansyah Margolang Kamaliah Ainun Khairunnida Khairunnisa Almadany Liber Tommy Hutabarat Lilis Saryani Lisnawati Lubis, Hamidah Azzahrah S Lubis, Ika Rahmadani M. Amril Siregar M. Syahputra Margolang, Julfansyah Maulidya Rahmah Mirnawati Mirnawati Mirwan Aziz Ritonga Muhammad Zikri Mujiburohman Mujiburohman Mustafid Mustafid Nadhilah Syafitri Niasty Lasmy Zaen Nila Hayati Nirmalahaty Harahap Nurliadi Nurliadi NURMAHENDRA HARAHAP Pangaribuan, Hose Ronaldo Panjaitan Albert Panjaitan, Albert R Rizal Isnanto Rachma Vina Dikma Raden Mohamad Herdian Bhakti Rahmah, Maulidya Ramadani Renny Lubis Rezty Arizta Putri Rino Subekti Rizky Wahyu Hadiyana Roni Pashla Ritonga Rosdiana RR. Aryanti Kristantini Ruri Aditya Sari S Sipur S, Mutiara Widasari S, Rossi Peter Salsanabila Mariestiara Putri Santosa, Asri Sari, Indah Vusvita Sembiring, Rinawati Siregar, M. Amril Siregar, Muhammad Amril Siska Hasibuan Siti Aisyah Sunardi Sunardi Sunardi Sunardi Sunardi Sunardi Sunardi Suyatmo Suyatmo Suyatmo Syafriwel, Syafriwel Sylvia, Tiara Ulfa Hasnita Usman Usman Vickri Febrian Widiya Nisa Wiguna, Agung Satria Wirna Lestari Wisnu Yudhistira Yeni Rachmawati Yunita Chaniago Yusdartono, Muhammad Habib Zubaidah Hanum