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All Journal Coding: Jurnal Komputer dan Aplikasi Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Edukasi dan Penelitian Informatika (JEPIN) JOIV : International Journal on Informatics Visualization JURNAL MEDIA INFORMATIKA BUDIDARMA MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Abdi: Jurnal Pengabdian dan Pemberdayaan Masyarakat Jurnal Teknik Informatika (JUTIF) Jurnal Computer Science and Information Technology (CoSciTech) Komatika: Jurnal Pengabdian Kepada Masyarakat JUSTIN (Jurnal Sistem dan Teknologi Informasi) Tanjungpura International Journal on Dynamics Economics, Social Sciences, and Agribusiness (TIJDESSA) Journal of Embedded Systems, Security and Intelligent Systems Kohesi: Jurnal Sains dan Teknologi Jurnal Multidisiplin Indonesia Jurnal Media Informasi Teknologi Mekongga: Jurnal Pengabdian Masyarakat Jurnal Aplikasi dan Riset Informatika
Hafiz Muhardi
Universitas Tanjungpura, Pontianak, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Public Health Social Sciences Veterinary Other

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Optimalisasi Pembelajaran: Ai Sebagai Alat Inovatif Untuk Pengembangan Bahan Ajar Sekolah Diperbatasan Kalimantan Barat Hafiz Muhardi; Gusrizal; Yudha Arman; Evi Noviani; Cucu Suhery
Komatika: Jurnal Pengabdian Kepada Masyarakat Vol. 6 No. 1 (2026): May 2026 (In Progress)
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat, Institut Informatika Indonesia Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34148/komatika.v6i1.1364

Abstract

Pemanfaatan kecerdasan buatan (Artificial Intelligence/AI) sebagai alat bantu dalam penyusunan materi pembelajaran di sekolah memiliki potensi besar untuk meningkatkan kualitas pendidikan, terutama di daerah perbatasan yang seringkali dihadapkan pada tantangan aksesibilitas dan ketersediaan sumber daya. Kegiatan pengabdian ini bertujuan untuk memenuhi tri darma perguruan tinggi dengan menyediakan kontribusi yang berkelanjutan bagi masyarakat sekaligus membantu para guru dalam memanfaatkan tools AI. Melalui studi pendahuluan yang cermat, dilakukan pemetaan kebutuhan bersama stakeholder lokal untuk memastikan bahwa pengembangan alat AI benar-benar relevan dengan kebutuhan dan konteks pembelajaran di perbatasan Kalimantan Barat. Pengembangan alat AI ini mengintegrasikan teknologi pemrosesan bahasa alami (natural language processing) untuk menghasilkan materi pembelajaran yang sesuai dengan kurikulum dan karakteristik lokal. Setelah pengembangan, alat AI diseminasi dan dipraktikkan dalam lingkungan sekolah. Pelatihan yang berkelanjutan diberikan kepada para guru untuk memastikan penggunaan yang efektif dan optimal dari alat AI tersebut. Monitoring dan evaluasi terus dilakukan untuk mengukur dampak serta memperbaiki kualitas alat AI sesuai dengan umpan balik dari pengguna. Diharapkan bahwa melalui kegiatan ini, para guru di perbatasan Kalimantan Barat akan lebih mampu menyusun materi pembelajaran yang berkualitas dan relevan dengan bantuan teknologi AI, yang pada gilirannya akan meningkatkan kualitas pendidikan dan memberikan manfaat yang nyata bagi masyarakat setempat.
Introduction and Implementation of the Internet of Things for Students Vocational High School 1 Punggur Besar Hirzen Hasfani; Uray Ristian; Hafiz Muhardi; Kasliono; Cucu Suhey; Tedy Rismawan; Ikhwan Ruslianto; Rahmi Hidayati; Syamsul Bahri; Dwi Marisa Midyanti; Irma Nirmala; Suhardi; Kartika Sari
MEKONGGA: Jurnal Pengabdian Masyarakat Vol. 3 No. 1 (2026): April 2026 (In Progress)
Publisher : Digital Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69616/mekongga.v3i1.265

Abstract

The training program “Introduction and Implementation of IoT” at Vocational High School(VHS) 1 Punggur Besar aims to enhance students’ understanding and practical skills in developing IoT-based systems. The training introduces key IoT concepts, components such as sensors, actuators, and microcontrollers, and how devices communicate via the internet. Through hands-on sessions, students create simple projects like temperature and humidity monitoring systems, smart lighting, and sensor-based notifications. This program helps students build technical competence in hardware assembly and IoT programming while fostering creativity and problem-solving abilities. As a result, students gain better readiness to face industrial demands that rely on digital technologies and are encouraged to innovate in applying IoT to real-world challenges.
Improving Imbalanced Data Classification Using Stacked Ensemble Learning with Naïve Bayes Variants and Random Forest Sastypratiwi, Helen; Yulianti, Yulianti; Muhardi, Hafiz
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 2 (2026): JUTIF Volume 7, Number 2, April 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.2.5308

Abstract

Classification in imbalanced and heterogeneous datasets poses significant challenges in informatics, particularly in agricultural domains where minority classes are often underrepresented and feature redundancy affects model performance. This research aims to improve classification performance by developing a stacked ensemble learning framework that integrates probabilistic and tree-based learners to address class imbalance and enhance model interpretability. The framework combines Gaussian Naïve Bayes (GNB), Multinomial Naïve Bayes (MNB), and Random Forest (RF) as base learners with Logistic Regression as the meta-learner. Feature selection was performed using Chi-Square and ReliefF to identify the most relevant predictors, while SMOTE was applied to balance the dataset. Two ensemble configurations were evaluated: Ensemble A (GNB + MNB) and Ensemble B (GNB + RF). Experimental results demonstrate that Ensemble B achieved 97% accuracy and a macro F1-score of 0.97, with a 5.7% accuracy improvement over the best individual classifier and an 18% improvement in minority-class recall. The integration of probabilistic and tree-based models within a stacked architecture provides an interpretable and effective solution for data-driven decision systems in informatics, particularly valuable for domains requiring both high accuracy and model explainability in handling imbalanced datasets.
Implementation of Event-Driven Architecture in Soil Moisture Sensor Data Transmission Based on Master–Slave Cut Chairunnisa Maulidia; Hafiz Muhardi; Uray Ristian; Nirsal Nirsal; Idawati Idawati
Jurnal Media Informasi Teknologi Vol. 3 No. 1 (2026): Februari 2026
Publisher : Digital Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69616/mit.v3i1.267

Abstract

The decline in chili crop productivity is partly caused by Soil Moisture that is not properly monitored. Manual monitoring is considered less effective, while IoT systems with periodic data transmission tend to be inefficient. This study develops a Soil Moisture monitoring system based on an Event-Driven master–slave architecture using four ESP32 devices. Three act as slaves connected to Soil Moisture sensors, and one serves as the master responsible for data transmission. The Event-Driven method applies two mechanisms: Batch Update every 5 minutes under normal conditions and Immediate Alert when moisture values fall outside the ideal range of 50–70%. System performance is compared with a non-Event-Driven method based on QoS parameters: delay, jitter, payload, and the number of data packets. Testing is conducted through four scenarios, each lasting one hour. Results show that the Event-Driven system is more efficient. The average delay and jitter are 547.35 ms and 557.05 ms, lower than the non-Event-Driven system (3,340.73 ms and 1,755.71 ms). In addition, fewer packets are sent with larger payloads. Although it does not yet meet the TIPHON standard, this method can transmit data immediately during significant changes while reducing the number of transmitted packets.
Co-Authors A. Yani, Dhita Deviacita Akmal Hidayat Al-Abdaliah, Ulfat Andika, Uray Rafli Anggi Srimurdianti Sukamto Anggi Srimurdianti Sukamto, Anggi Srimurdianti Argo, Hubertus Cahyo Arif Bijaksana Putra Negara Arif Bijaksana Putra Negara Azmi, Amirull Chandra, Eggi Cucu Suhery Cucu Suhey Cut Chairunnisa Maulidia Damayanti, Dinda Dede Kurniawan Desepta Isna Ulumi Desepta Isna Ulumi Dharmawan, Eric Dolly Virgian Shaka Yudha Sakti Dwi Marisa Midyanti Dwi Nyoto, Rudi Elang Derdian Marindani Elytia, Elytia Esra Martogi Aprianto Silitonga Eva Faja Ripanti Evi Noviani Fajrie Dwi Oktofri Felik, Felik Galih Rizky Fahrezi Gatoto Widodo Guntur, Arifin Sidiq Tunggal Gusrizal Gusrizal Helen Sasty Pratiwi, Helen Sasty Helen Sastypratiwi Helen Sastypratiwi Helen Sastypratiwi Helen Sastypratiwi, Helen Heri Priyanto, Heri Herry Sujaini Herry Sujaini Herry Sujaini Hersyaputra, Mohamad Syazimmi Hirzen Hasfani Idawati, Idawati Ihsan Maulana Ikhwan Ruslianto Irma Nirmala Islami, Habi Istiyan, Nur Jefri Hasiholan Simanjuntak Kartika Sari Kasliono Kasliono Mandau, M Yunus Marisa Midyanti, Dwi Maulidya, Nurul Fatimah Mauludin, Rizqi Mega Noveanto Mega Noveanto Muhammad Azhar Irwansyah Muhammad Raehan Maulana Muhammad Reza Saputra Muniyati, Evi Fathiyah Nadinda, Dara Nirsal Novi Safriadi Novi Safriadi Nur Ath Thariq, Muhammad Arifaldi Nyoto, Rudi Dwi Pascal Tangkitn Carandas Pratama, Farhan Putra, Rasmi Gumilang Putri, Indira Melinda Rahmi Hidayati Ramadhani Edo Saputra Risqi, Yahya Rita Wahyuni Rudy Dwi Nyoto Rudy Dwi Nyoto, Rudy Dwi Sajid, Fahmi Sari, Dian Aulia Setiawan, Nurul Ivan Sherren Jessica Angelina Sholva, Yus Ss, Renny Wulandari Ss, Renny Wulandari Suhardi Suhardi Syamsul Bahri Syamsul Bahri Tedy Rismawan Tursina Tursina Tursina Uray Ristian Wahyuni, Mirda Wenewasti, Ignatia Tri Wijang Widhiarso Yudha Arman Yulianti Yulianti Yulianti Yulianti Yulianti Yulianti Yurida, Nur Harsi Yurida, Nur Harsi