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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 Hello World Jurnal Masyarakat Indonesia Data Sciences Indonesia (DSI) Nusantara Journal of Multidisciplinary Science Jurnal Ilmu Komputer dan Sistem Informasi The Indonesian Journal of Computer Science Jurnal Hasil Inovasi Masyarakat (JHIM) 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 Other

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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.
Rancang Bangun Media Pembelajaran Avionic - Radio Theory II Berbasis Multimedia Animasi pada ATKP Medan Dwiyanto Dwiyanto; Catra Indra; Ahmad Faisal; Iswandi Idris; Rizaldy Khair
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 1 No. 3 (2020): Mei 2020
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v1i3.2185

Abstract

The importance of Learning Media is used by ATKP Medan to continuously improve the quality of learning. The problem that is often encountered in avionic learning is the limited resources available because to access avionic learning the cadets must access from the CBT LAB and cannot be from elsewhere. This is because Avionic software is only installed inside the lab and cannot be learned from outside the lab. The purpose of this research is to improve the digital avionic-Radio Theory II learning process which is packaged in multimedia animation to make it easier for cadets to learn avionic Radio Theory II without having to access it in the laboratory. The method used in this research is to use the MDLC Multimedia Development Life Cycle method, namely the Concept concept, design, material collection, assembly, testing, distribution, distribution, The resulting output is an animated video product and publication to the ISSN journal
Rancang Bangun Prototype Robot Pengantar Barang Cargo Berbasis Arduino Mega Dengan IOT Suyatmo Suyatmo; Catra Indra Cahyadi; Syafriwel Syafriwel; Rizaldy Khair; Iswandi Idris
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 1 No. 3 (2020): Mei 2020
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v1i3.2186

Abstract

Cargo is the goods transported by ship, aircraft or other types of transportation. Cargo is divided into three types of transportation, namely, air, land and sea. Cargo service is a special service for transporting goods using aircraft. This service can be organized by a regular airline that serves passengers, but can also be carried out by a specialized airline freight company. With the development of industrial automation technology, robots are needed to help meet their needs quickly. With this developed robotics technology to help alleviate human work in the future. Goods delivery robot is a robot created to help work in delivering goods to aircraft cargo. This robot can stuff automatically. This goods transfer robot uses the Internet of Things method that is already connected to a smartphone remote control based on an android application. Writing program code using Arduino IDE 1.8.9 and using Android as a robot control. This robot uses 4 channel line tracker sensors, 2 DC motors and motor drivers as controllers, Arduino uno as the brain in this robot system. The results of this study produce a prototype robot that can deliver goods into aircraft cargo in airports.
Rancang Bangun Traffic Light System Tanggap Darurat Berbasis IoT Usman Usman; Panjaitan Albert; Indah Vusvita Sari; Iswandi Idris; Rizaldy Khair
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 1 No. 3 (2020): Mei 2020
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v1i3.2187

Abstract

At crossroads, both crossing three and crossing four which have traffic lights, there is often heavy traffic. Of course this can hamper the performance of priority vehicles that will cross the intersection. To overcome this, the researchers designed a traffic light microcontroller system using a sound sensor. Sound sensor is an automatic identification technology that uses sound waves that hit the sensor membrane which causes the sensor membrane to move which has a small coil behind the membrane up and down then the sensor will be connected to the lights at each airport parking road junction so that the traffic lights of the parking area and arrival terminal or the release changes automatically. The purpose of this study is expected to produce a traffic light system design that utilizes IOT sound sensor technology to the density of vehicles that are at a crossroads either intersection three or intersection four in order to regulate the smooth flow of vehicles and things emergency vehicles (ambulances, fire engines or officials) can work on time and at the maximum, The output produced is a prototype IoT product and publication to journal
Rancang Bangun Protoype Robot Navigasi Pemadam Api di Bandar Udara Sunardi Sunardi; Julfansyah Margolang; Jhoni Hidayat; Iswandi Idris; Rizaldy Khair
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 1 No. 3 (2020): Mei 2020
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v1i3.2188

Abstract

In aviation engineering, Aviation Safety must be an extreme concern for the government as a regulator / facilitator, each component of the Airport sub-system in conducting its operations must still prioritize flight safety and safety. In this case the supporting components and the utilization of AI technology are felt to be very necessary in order to complete the needs will Fulfill Flight Safety by utilizing robots as a medium. In general, robots can be defined as a mechanical device that is able to do human work or behave like humans. One of the human jobs that can be done by robots is fire fighting activities. In this study, researchers designed a Fire Extinguisher Robot to find and extinguish fire. The design of this robot uses an ultrasonic sensor HC-SR04 as a parameter for the robot's path when there are objects around and a fire sensor module as a detector for the presence of fire this robot uses MG995 servo that is useful as a controller hose from the water pump. The circuit in this robot has important components, the Arduino microcontroller functions as the brain of the robot and the L298P Motor Shield Driver functions as a DC motor drive module. If the robot detects a fire while walking, the robot will stop and extinguish the fire using water and candles are used as a fire simulation when a fire is happening. 
Sistem Pakar Diagnosa Penyakit Krisan di Kabupaten Karo Menggunakan Dempster Shafer Rachma Vina Dikma; Rizaldy Khair
Nusantara Journal of Multidisciplinary Science Vol. 3 No. 10 (2026): NJMS - Mei 2026
Publisher : PT. Inovasi Teknologi Komputer

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Abstract

Tanaman krisan (Chrysanthemum sp.) merupakan komoditas hortikultura bernilai ekonomi tinggi, namun produktivitasnya sering menurun akibat serangan penyakit dan hama yang sulit ditularkan secara tepat karena kesamaan gejala. Keterbatasan akses terhadap hama serta timbulnya gejala informasi menjadi kendala utama bagi petani dalam menentukan tindakan pengendalian yang efektif. Penelitian ini bertujuan mengembangkan sistem pakar berbasis web dengan menggunakan metode Dempster-Shafer untuk membantu proses diagnosis penyakit dan hama pada tanaman krisan di Kabupaten Karo. Metode ini digunakan untuk mengolah informasi gejala dengan menggabungkan berbagai bukti sehingga menghasilkan tingkat kepercayaan terhadap suatu diagnosis. Data diperoleh melalui studi literatur, wawancara, observasi, dan kuesioner kepada para pakar dan petani. Hasil penelitian menunjukkan bahwa sistem mampu menghasilkan diagnosis yang akurat serta memberikan rekomendasi pengendalian yang sesuai. Pengujian sistem menunjukkan bahwa seluruh fungsi berjalan dengan baik dan sistem layak digunakan sebagai alat bantu diagnosis. Dengan demikian, sistem yang dikembangkan dapat meningkatkan diagnosis yang tepat, efisiensi waktu, serta mendukung pengambilan keputusan dalam pengendalian penyakit tanaman krisan
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 2026: 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

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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.
Co-Authors Abd Rachman Abubar Abrar Hadi Ade Johar Maturidi Agung Satria Wiguna Ahmad Faisal Ahmad Faisal Aini, Zahratul Amren S, Hairul Arizta Putri , Rezty Asri Santosa Asrul Sani Ayub Wimatra Br Lubis, Ika Rahmadani Budiyantara, Agus Catra Indra Catra Indra Cahyadi Cut Roza Asminanda Daris Fauzan Abila Darmeli Nasution Dian Noviandri Dwiyanto . Ekatri Ayuningsih Eriansyah Saputra H F Fajrillah Hadi Prayitno Hadiyana, Rizky Wahyu Harahap, Nirmalahaty Harahap, Nurmahendra Hasibuan, Siska HERY DIA ANATA BATUBARA Ibrahim Iswandi Idris Iswandi idris Iswandi Idris Jaman Amadi Jhoni Hidayat Jhoni Hidayat Julfansyah Margolang 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 Nadhilah Syafitri Niasty Lasmy Zaen Nila Hayati Nirmalahaty Harahap Nurliadi Nurliadi Pangaribuan, Hose Ronaldo Panjaitan Albert Panjaitan, Albert Putra, Fikri Adi R Rizal Isnanto Rachma Vina Dikma Raden Mohamad Herdian Bhakti Rahmah, Maulidya Ramadani Renny Lubis Rino Subekti Roni Pashla Ritonga 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 Sunardi Sunardi Surbakti, Eka Wulandari Suyatmo Suyatmo Suyatmo Syafriwel, Syafriwel Sylvia, Tiara Ulfa Hasnita Usman Usman Vickri Febrian Widiya Nisa Wiguna, Agung Satria Wisnu Yudhistira Yeni Rachmawati Yudhistira, Wisnu Yusdartono, Muhammad Habib Zubaidah Hanum