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All Journal CESS (Journal of Computer Engineering, System and Science) Jurnal ULTIMATICS Jurnal Sistem Komputer dan Informatika (JSON) Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) Jurnal Penelitian, Pendidikan dan Pengajaran: JPPP Djtechno: Jurnal Teknologi Informasi Ar-Rasyid: Jurnal Pendidikan Agama Islam Educenter: Jurnal Ilmiah Pendidikan sudo Jurnal Teknik Informatika Hello World Journal of General Education and Humanities Blend Sains Jurnal Teknik Factory Jurnal Industri, Manajemen dan Rekayasa Sistem Industri Jurnal Ilmu Komputer dan Sistem Informasi Hanif Journal of Information Systems EDUCENTER JURNAL PENDIDIKAN Tsabit Jurnal Informatika Dan Tekonologi Komputer
Mhd. Basri
Universitas Muhammadiyah Sumatera Utara
Religion Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Other

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Pengembangan Sistem Control Dan Monitoring Air Conditioner Otomatis Berbasis Sensor DHT 22 Dan Internet of Things (IoT) Rosaldi Alfarizi; Mhd. Basri
Hello World Jurnal Ilmu Komputer Vol. 5 No. 1 (2026): Edisi April
Publisher : Ilmu Bersama Center

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Abstract

Penelitian ini bertujuan untuk merancang dan mengembangkan sistem kontrol dan monitoring Air Conditioner (AC) otomatis berbasis Internet of Things (IoT) dengan menggunakan sensor DHT22 sebagai pendeteksi suhu dan kelembapan udara. Sistem ini dikendalikan melalui mikrokontroler ESP32 yang terhubung dengan sensor infrared serta aplikasi Thinger.io sebagai antarmuka pengguna untuk memantau dan mengontrol AC secara real-time dari jarak jauh. Sistem ini dirancang untuk meningkatkan kenyamanan termal di dalam ruangan dan efisiensi pengendalian AC, khususnya pada kondisi lingkungan dengan suhu dan kelembapan yang berubah-ubah. Hasil pengujian menunjukkan bahwa sistem berhasil menjalankan perintah seperti menghidupkan/mematikan AC, mengatur suhu, mode operasi, serta kecepatan kipas. Selain itu, sistem juga dapat menyesuaikan suhu secara otomatis berdasarkan tingkat kelembapan ruangan. Akurasi sensor DHT22 dibandingkan dengan thermometer digital menunjukkan tingkat kesalahan yang rendah dan dapat diterima. Penelitian ini membuktikan bahwa penerapan IoT dalam sistem pengendalian AC memberikan kemudahan, efisiensi, serta fleksibilitas tinggi dalam pengoperasian perangkat elektronik rumah tangga.
Analisis Kepuasan Pengguna Terhadap Kualitas Layanan Aplikasi Livin By Mandiri Menggunakan Metode E-Servqual Dan Importance Performance Analysis (IPA) Anis Badriah; Mhd. Basri
Hello World Jurnal Ilmu Komputer Vol. 5 No. 1 (2026): Edisi April
Publisher : Ilmu Bersama Center

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Abstract

Perkembangan teknologi perbankan digital mendorong Bank Mandiri meluncurkan aplikasi mobile banking Livin by Mandiri. Namun, terdapat keluhan pengguna terkait tampilan yang kurang user-friendly dan masalah teknis pada sistem. Penelitian ini bertujuan menganalisis kepuasan pengguna terhadap kualitas layanan aplikasi Livin by Mandiri menggunakan metode E-ServQual dan Importance Performance Analysis (IPA). Penelitian kuantitatif dengan 100 responden pengguna aktif Livin by Mandiri di Kota Binjai. Data dikumpulkan melalui kuesioner dengan skala Likert dan dianalisis menggunakan SPSS, meliputi uji validitas, reliabilitas, analisis regresi, analisis gap, dan IPA. Seluruh dimensi E-ServQual (efficiency, reliability, fulfillment, privacy) berpengaruh signifikan terhadap kepuasan pengguna (p<0.05). Reliability memiliki korelasi tertinggi (r=0.862), diikuti fulfillment (r=0.795), privacy (r=0.768), dan efficiency (r=0.746). Nilai Cronbach's Alpha sebesar 0.844 menunjukkan reliabilitas instrumen yang tinggi. Analisis gap menunjukkan dimensi efficiency dan responsiveness memiliki gap negatif terbesar (-9.0), sedangkan privacy (+7.3) dan reliability (+3.3) menunjukkan gap positif. Matriks IPA mengidentifikasi tiga indikator prioritas perbaikan: ketersediaan layanan (K1), kelengkapan informasi (PE2), dan kelancaran transaksi (PE3). Meskipun aplikasi Livin by Mandiri memiliki fondasi keamanan dan keandalan yang baik, masih terdapat celah dalam efisiensi dan responsivitas layanan yang perlu ditingkatkan untuk mencapai kepuasan pengguna optimal.
Pengembangan Sistem Smart Rubbish Organik Dan Non Organik Otomasi Berbasis IoT Nurul Hakiki Lubis; Mhd. Basri
Hello World Jurnal Ilmu Komputer Vol. 5 No. 1 (2026): Edisi April
Publisher : Ilmu Bersama Center

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Abstract

Permasalahan pengelolaan sampah di Indonesia yang semakin kompleks, khususnya di sektor Usaha Mikro, Kecil, dan Menengah (UMKM), membutuhkan solusi yang inovatif dan efisien. Penelitian ini bertujuan untuk merancang dan mengembangkan sistem pemilahan sampah otomatis berbasis Internet of Things (IoT) yang mampu membedakan sampah organik dan nonorganik secara realtime. Sistem ini menggunakan kombinasi sensor proximity kapasitif untuk mendeteksi jenis sampah, sensor ultrasonik untuk memantau kapasitas tempat sampah, dan mikrokontroler ESP32 sebagai pusat kendali. Mekanisme pemilahan dilakukan secara otomatis oleh motor servo berdasarkan data dari sensor, sedangkan informasi status sistem ditampilkan melalui LCD 16x2 dan dikirim melalui notifikasi web dan Telegram. Penelitian dilakukan di lingkungan UMKM dengan pendekatan observasi dan wawancara, serta melalui proses analisis kebutuhan, perancangan sistem, implementasi, dan evaluasi. Hasil pengujian menunjukkan bahwa sistem mampu meningkatkan efisiensi pemilahan sampah, mengurangi ketergantungan pada tenaga kerja manual, dan mendukung pengelolaan sampah yang lebih ramah lingkungan dan berkelanjutan. Sistem ini berkontribusi pada pengembangan teknologi pengelolaan sampah modern yang dapat diadaptasi pada skala kecil hingga menengah.
Analisa Dan Implementasi Metode Copras Dalam Pemilihan Guru Terbaik Di Perguruan Islam Mts Cerdas Murni Salsabila Humairoh; Mhd. Basri
Hello World Jurnal Ilmu Komputer Vol. 5 No. 1 (2026): Edisi April
Publisher : Ilmu Bersama Center

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Abstract

Penilaian kinerja guru merupakan salah satu faktor penting dalam menjaga dan meningkatkan mutu pendidikan. Proses penilaian yang dilakukan secara manual seringkali bersifat subjektif dan tidak efisien. Penelitian ini bertujuan untuk merancang dan membangun sebuah Sistem Pendukung Keputusan (SPK) berbasis web untuk membantu proses penilaian kinerja guru secara lebih objektif dan terstruktur. Metode yang digunakan untuk pengambilan keputusan adalah Complex Proportional Assessment (COPRAS), yang mampu menangani kriteria bersifat benefit dan cost secara efektif. Sistem dikembangkan menggunakan metode waterfall dengan bahasa pemrograman PHP dan database MySQL. Hasil dari penelitian ini adalah sebuah aplikasi fungsional yang dapat mengelola data master, mengolah data kuesioner dari siswa, dan melakukan seluruh tahapan perhitungan COPRAS secara otomatis untuk menghasilkan perangkingan akhir kinerja guru. Sistem ini dilengkapi dengan fitur pelaporan yang detail, sehingga dapat menjadi alat bantu yang transparan dan akuntabel bagi pihak manajemen sekolah dalam mengambil keputusan terkait evaluasi guru.
Perancangan Sistem IoT Untuk Monitoring Getaran dan Stress Pada Kanopi Rumah Berbasis ESP32 Raushan Dhamir; Mhd. Basri
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.v5i2.366

Abstract

The development of Internet of Things (IoT) enables real-time and continuous monitoring systems. Lightweight structures such as house roofs or canopies are vulnerable to environmental and load changes, yet monitoring is still commonly performed manually, making early detection difficult. This study aims to design and implement an IoT-based canopy structure monitoring system using ESP32 integrated with an MPU6050 vibration sensor, a load cell with HX711 module, and a DHT22 temperature and humidity sensor. Measurement data are transmitted via WiFi to a server for database storage and visualization through a web-based dashboard. Furthermore, the collected data are processed using the Relative Corrosion Potential Index (IPKR), calculated based on normalized parameters including temperature, humidity, vibration, and load variation. The results show that the system is capable of performing real-time data acquisition, transmission, and visualization effectively. The system also provides structural condition indicators based on IPKR values classified into safe, warning, and danger categories. Therefore, the developed system can serve as an effective and informative early monitoring solution for detecting changes in lightweight structure conditions.
Teacher discipline assessment with Mamdani Fuzzy Logic decision support system on attendance data at Phatnawitya School Yala Muhammad Zulfahmi Khairullah; Mhd. Basri
Educenter : Jurnal Ilmiah Pendidikan Vol. 5 No. 1 (2026): Educenter: Jurnal Ilmiah Pendidikan (In press)
Publisher : ARKA INSTITUTE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55904/educenter.v5i1.1850

Abstract

Teacher discipline is a crucial factor in maintaining the quality of the learning process in schools; however, discipline assessment is often conducted subjectively and relies on rigid threshold values. This study aims to develop a decision support system based on Mamdani Fuzzy Logic to evaluate teacher discipline using attendance data. The research method includes fuzzification, Mamdani fuzzy inference, and defuzzification using the centroid method, with two input variables attendance and absence without permission (alpha) and one output variable in the form of a discipline score. The results indicate that teachers with attendance ≥90% and alpha ≤3 days are classified as “Very Good”, those with attendance between 80-89% fall into the “Good” to “Fair” categories, while attendance below 75% or alpha above 12 days is categorized as “Poor”. The fuzzy system produces consistent, stable, and flexible assessments through gradual value transitions. In conclusion, Mamdani Fuzzy Logic is effective as a more objective and realistic tool for evaluating teacher discipline compared to conventional threshold-based methods.
Decision analysis on the use of figma to improve learning effectiveness at Saengsattha School Thailand using the AHP Method Defri Aldi; Mhd. Basri; Lutfi Basit
Educenter : Jurnal Ilmiah Pendidikan Vol. 5 No. 1 (2026): Educenter: Jurnal Ilmiah Pendidikan (In press)
Publisher : ARKA INSTITUTE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55904/educenter.v5i1.2058

Abstract

The development of digital media-based learning requires the selection of platforms that are not only easy to use, but also capable of supporting interactivity, collaboration, and providing a real impact on learning outcomes. However, the selection of digital learning media in schools is often not based on systematic and measurable decision analysis. This condition creates a need for objective evaluation of the effectiveness of digital media used in the learning process. This study aims to analyze the effectiveness of using Figma as a digital learning medium at Saengsattha School in Thailand. This study uses a descriptive quantitative approach with data collection through a five-point Likert scale questionnaire involving 100 respondents, consisting of 10 teachers and 90 students. Data analysis was performed using the Analytical Hierarchy Process (AHP) method to determine the weight of importance of four main criteria, namely ease of use, interactivity, collaboration, and impact on learning outcomes and user satisfaction. The results showed that Figma obtained a final score of 4.06 and was categorized as effective, with the criteria of impact and user satisfaction as the most dominant factors. These findings indicate that Figma is suitable for use as a digital learning medium and that AHP can be a systematic method to support decision-making in selecting digital learning media in schools.
Analysis of Determining Public Speaking Skill Levels of Junior High School Students Using the TOPSIS Method at Phatnawitya School, Yala, Thailand Zaky Soleh Wirawan; Mhd. Basri
Journal of General Education and Humanities Vol. 5 No. 2 (2026): April
Publisher : MASI Mandiri Edukasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58421/gehu.v5i2.1098

Abstract

Evaluating junior high school students' public speaking skills often faces the challenge of subjectivity, especially in international schools where manual assessment lacks mathematical rigor. This study applied the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method with manual calculations to objectively rank 28 students from Phatnawitya School, Yala, Thailand, based on seven Canva presentation criteria: Eye Contact, Body Language, Poise, Subject Knowledge, Fluency, Pronunciation, and Comprehension. Using a descriptive quantitative approach, purposive sampling targeted one top-tier class as the sample population. Teachers' Excel assessment data were analyzed using TOPSIS through decision matrix formation, normalization, weighted normalization, ideal solution determination, distance calculation, and preference assessment. The results showed that Salsabil Hayitahe ranked first (V=0.65) and Muhammadsharif Seng last (V=0.36), proving the effectiveness of TOPSIS in providing transparent, bias-free ranking. The conclusions confirm the suitability of manual TOPSIS for multi-criteria educational evaluation, without software dependence, and recommend its wider application across various classes.
Comparative Analysis of the Performance of VGG16 and ResNet50 Architectures in Multi-Class Classification of Rice Plant Diseases Based on Convolutional Neural Networks (CNN) Krisna Aditya; Mhd. Basri
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/tsabit55

Abstract

Rice plant diseases significantly affect crop productivity and food security, making early and accurate disease detection essential for effective agricultural management. Recent advances in deep learning, particularly Convolutional Neural Networks (CNN), have demonstrated strong potential in image-based plant disease classification. This study presents a comparative analysis of the performance of VGG16 and ResNet50 architectures for multi-class classification of rice plant diseases using CNN-based approaches. A dataset of rice leaf images representing multiple disease classes and healthy conditions was collected and preprocessed through image resizing, normalization, and data augmentation to enhance model generalization. Both pre-trained models were fine-tuned using transfer learning to adapt them to the rice disease classification task. Model performance was evaluated using standard metrics, including accuracy, precision, recall, F1-score, and confusion matrix analysis. The experimental results show that both architectures achieve high classification performance; however, ResNet50 demonstrates superior accuracy and better generalization capability compared to VGG16, particularly in handling complex disease patterns and intra-class variations. Meanwhile, VGG16 offers a simpler architecture with faster convergence and lower computational complexity. The findings of this study provide insights into the selection of appropriate CNN architectures for rice plant disease classification and support the development of intelligent decision support systems in precision agriculture.
Development of a Decision Support System to Determine Best-Selling Menu Canteen Employees of the Bank Indonesia Representative Office in North Sumatra Province using the Topsis Method M. Rizki Adhari; Mhd. Basri
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/tsabit60

Abstract

The availability of accurate sales information is essential for supporting managerial decision-making in institutional food services. At the Bank Indonesia Representative Office in North Sumatra Province, determining the best-selling menu for employee canteen services is still largely based on manual evaluation, which may lead to inefficiencies and subjective judgments. This study aims to develop a Decision Support System (DSS) to identify the best-selling canteen menu using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. The system evaluates menu alternatives based on multiple criteria, including sales volume, price, menu availability, and employee preferences. Data were collected from historical sales records and questionnaires distributed to canteen employees. The TOPSIS method was applied to rank menu alternatives by calculating their relative closeness to the ideal positive and ideal negative solutions. The DSS was implemented as a computerized system to facilitate data processing, ranking, and visualization of decision results. The results show that the proposed system is able to objectively determine the best-selling menu and provide consistent rankings compared to conventional methods. The developed DSS improves accuracy, efficiency, and transparency in menu evaluation, thereby supporting better planning and inventory management for the employee canteen. This study demonstrates that integrating multi-criteria decision-making methods into a DSS can effectively enhance decision quality in institutional food service management.
Co-Authors Abdul Fadlil Al Hamidy Al Khowarizmi Andi Zulherry Andi Zulherry Andi Zulherry Andy Satria Anis Badriah Anton Yudhana Baehaqi Barelvi, Ahmad Defri Aldi Dicky Apdilah Dina Salsabila Edy Rahman Syahputra Fadhlurrohman, Dimas Farid Akbar Siregar Fatma Sari Hutagalung G. Gunawan Halim Maulana Hasibuan, Wilda Rina Hayani, Wirda Hazidar, Al Hamidy Indah Purnama Sari Indah Purnama Sari Ismail Hanif Batubara Krisna Aditya Lutfi Basit M. Rizki Adhari Mahardika Abdi Prawira Manurung, Asrar Aspia Muhammad Gunawan Muhammad Zulfahmi Khairullah Nasution, Rahmad Kurniawan Nurul Hakiki Lubis Ok Muhammad Rehansyah Putra rahayu, Intan dwi Ramadhani, Fanny Raushan Dhamir Rosaldi Alfarizi RR. Ella Evrita Hestiandari Salsabila Humairoh Sihombing, Maissy Masitoh Syafrayani, Putri Rizki Syahri, Alfi Zaky Soleh Wirawan Zaky, Naufal Zein, Liza Azzahra