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All Journal Jurnal Ilmiah FIFO JurTI (JURNAL TEKNOLOGI INFORMASI) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Jurnal Pengabdian Nasional (JPN) Indonesia JNANALOKA Journal of Social Responsibility Projects by Higher Education Forum Decode: Jurnal Pendidikan Teknologi Informasi AJAD : Jurnal Pengabdian kepada Masyarakat International Journal Software Engineering and Computer Science (IJSECS) Jurnal Multidisiplin Madani (MUDIMA) Journal of Information Systems and Technology Research Sistem Pendukung Keputusan dengan Aplikasi Internet of Things and Artificial Intelligence Journal Proceeding Applied Business and Engineering Conference Amare Inisiatif: Jurnal Ekonomi, Akuntansi Dan Manajemen Jurnal Sains dan Ilmu Terapan Asia Information System Journal Guruku: Jurnal Pendidikan dan Sosial Humaniora Journal of Engineering Science and Technology Management Jurnal Elektronika dan Teknik Informatika Terapan Abdimas Terapan: Jurnal Pengabdian Kepada Masyarakat Terapan Jurnal Pendidikan Teknologi Informasi (JUKANTI) Jurnal Pengabdian Nasional (JPN) Indonesia Science and Technology: Jurnal Pengabdian Masyarakat Inovasi Teknologi Masyarakat Indonesia Bergerak: Jurnal Hasil Kegiatan Pengabdian Masyarakat International Journal of Mechanical, Industrial and Control Systems Engineering Indonesian Journal of Emerging Trends in Community Empowerment Journal of Rural Community Development (JRCD) Journal of Moeslim Research Technik STARLA : Jurnal Pengabdian Masyarakat
Antoni Pribadi
Politeknik Kampar
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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Strategi Pengembangan Manajemen Bisnis Digital Berbasis Web untuk Mendukung Ketahanan Pangan Lokal di Sektor Perikanan Patin Kecamatan XIII Koto Kampar Andri Nofiar. Am; Rahmad Akbar; M. Alkadri Perdana; Antoni Pribadi; M. Rukhsah
Inisiatif: Jurnal Ekonomi, Akuntansi dan Manajemen Vol. 4 No. 4 (2025): Oktober: Inisiatif : Jurnal Ekonomi, Akuntansi dan Manajemen
Publisher : Universitas 45 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30640/inisiatif.v4i4.5226

Abstract

The rapid development of digital technology has created new opportunities for strengthening local economies, especially in rural areas with unique commodity potentials. This study aims to develop a digital business strategy to enhance the local economy based on the catfish (ikan patin) commodity in Kampung Patin. The research employs a qualitative descriptive approach using SWOT analysis to identify internal and external factors that influence the digital transformation of local entrepreneurs. Data were collected through interviews, field observations, and documentation involving fish farmers, business owners, and local government representatives. The results of the SWOT analysis reveal that community solidarity and product quality are the main strengths, while weaknesses include limited digital literacy and marketing capacity. Opportunities arise from the growth of e-commerce platforms and government support for digitalization programs, whereas threats come from increasing market competition and technological gaps. The findings suggest that strengthening digital marketing capabilities, building a collective brand identity, and developing a local e-marketplace can enhance competitiveness and promote sustainable economic growth in Kampung Patin.
Pelatihan Dasar Administrasi Jaringan Mikrotik Untuk Meningkatkan Keterampilan Teknologi Jaringan di SMK Yapim Siak Hulu Antoni Pribadi; Fina Nasari; Fitri; Fenty Kurnia Oktorina; Muhammad Ridwan; M. Rukhsah
STARLA: Jurnal Pengabdian Masyarakat Vol 1 No 2 (2025): Desember
Publisher : CV. BAROKAH PUBLISHER

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

Abstract

Perkembangan teknologi informasi dan komunikasi menuntut pendidikan vokasi untuk menghasilkan lulusan yang memiliki kompetensi praktis sesuai kebutuhan dunia kerja. Salah satu kompetensi yang penting bagi siswa Sekolah Menengah Kejuruan adalah kemampuan administrasi jaringan komputer berbasis Mikrotik yang banyak digunakan di dunia industri. Kegiatan Pengabdian kepada Masyarakat ini bertujuan untuk meningkatkan kompetensi siswa jurusan Teknik Komputer dan Jaringan di SMK Swasta Yapim Siak Hulu melalui pelatihan dan pendampingan administrasi jaringan Mikrotik. Metode pelaksanaan kegiatan meliputi diskusi permasalahan mitra, pengumpulan data, penyusunan materi, pelaksanaan pelatihan berbasis praktik langsung, pendampingan siswa, serta evaluasi melalui uji teori dan praktik. Hasil kegiatan menunjukkan adanya peningkatan pemahaman dan keterampilan siswa dalam melakukan konfigurasi jaringan dasar, seperti pengaturan IP Address, DHCP, NAT, serta monitoring dan pengamanan jaringan sederhana. Kegiatan ini juga memberikan manfaat bagi sekolah dalam penguatan pembelajaran praktikum jaringan komputer dan membuka peluang pengembangan pelatihan lanjutan serta persiapan sertifikasi kompetensi jaringan.
Edge Computing Enabled Real Time Anomaly Detection Framework for Secure Industrial Cyber Physical Systems Using Lightweight Deep Neural Networks Deny Prasetyo; Suyahman Suyahman; Rosalina Yani Widiastuti; Mursalim Mursalim; Antoni Pribadi
International Journal of Mechanical, Industrial and Control Systems Engineering Vol. 1 No. 1 (2024): March: IJMICSE: International Journal of Mechanical, Industrial and Control Sys
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijmicse.v1i1.399

Abstract

Cyber Physical Systems (CPS) are vital for managing and controlling critical infrastructures, such as industrial control systems, power grids, and transportation networks. These systems integrate digital and physical components, offering numerous benefits for industrial automation. However, the increasing interconnectivity of these systems has introduced new security vulnerabilities, particularly in anomaly detection and system reliability. This research aims to address these challenges by proposing an edge based anomaly detection framework that leverages lightweight deep learning models, specifically designed to operate efficiently on resource constrained edge devices. Literature Review: Previous studies have shown the effectiveness of anomaly detection in CPS, with traditional methods struggling to keep up with the complexity and scale of modern industrial environments. Machine learning and deep learning approaches, particularly hybrid models combining rule based systems and AI, have emerged as effective solutions for real time anomaly detection. Techniques such as model compression, quantization, and pruning are essential for adapting these models to resource limited edge devices while maintaining high detection accuracy and low latency. Materials and Method: The proposed framework integrates deep learning models such as Convolutional Neural Networks (CNNs) and Long Short Term Memory (LSTM) networks, optimized for edge computing environments. The datasets used for training and testing include industrial network traffic and sensor anomaly datasets. Model optimization techniques like pruning and quantization were applied to reduce computational overhead and energy consumption on edge devices. Results and Discussion: The framework demonstrated high detection accuracy (AUC of 0.9720) with ultra low latency (0.0019 seconds training time), making it highly suitable for real time anomaly detection in CPS. Resource efficiency was achieved by optimizing the models for edge devices, reducing energy consumption while maintaining performance. The framework also significantly improved security by identifying anomalies early, preventing potential threats to critical infrastructures. Future directions include exploring federated learning to enhance privacy and data sharing across distributed devices.
TOPSIS Method In Determining The Best Package Transportation Route Taymour A. Hamdallah; Mohammad Badri; Wahyu Caesaendra; Antoni Pribadi; Yustria Handika Siregar; Tasya Annisa S
Journal of Information Systems and Technology Research Vol. 4 No. 2 (2025): May 2025
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/jistr.v4i02.1127

Abstract

The urgent need for product transportation services during the ongoing pandemic has prompted companies to organize transportation processes effectively to ensure customers are well served. The increase in demand for goods transportation services has been driven by the pandemic, as it has necessitated social distancing and adherence to health protocols. Traditionally, transportation services rely on distance calculation technologies to determine the best route for delivering packages, which may reduce transportation efficiency. One example is the delivery service at J&T Sidamukti drop point by PT Tiki Lintas. This research aims to provide an overview of the steps involved in using the TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method to determine the optimal transportation route for package delivery. The use of the TOPSIS method in this study aims to improve the efficiency of transportation time by evaluating and comparing different delivery routes based on multiple criteria. Through this approach, the study intends to highlight how optimal decision-making processes can enhance the efficiency of goods transportation in a challenging context like the pandemic. The research also seeks to offer practical solutions that can be applied to similar transportation challenges, thereby contributing to the overall improvement of delivery systems. Ultimately, the findings of this study are expected to provide valuable insights into the application of decision-making models in transportation route planning, particularly in the current context of limited movement and physical distancing.
From Classroom to Hospitality Industry: Pelatihan Bahasa Inggris Pariwisata bagi Siswa SMKN Kesehatan dan Pariwisata Bangkinang Dzulhijjah Yetti; Rahmad Akbar; Hayatul Khairul Rahmat; Nurkholis Nurkholis; Antoni Pribadi
Indonesian Journal of Emerging Trends in Community Empowerment Vol. 3 No. 2 (2025): Desember
Publisher : PT Hakhara Akademia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71383/ijetce.v3i2.117

Abstract

This community service program aimed to enhance the English communication skills of students at SMKN Kesehatan dan Pariwisata Bangkinang through an English for Tourism training program based on a practice-based learning approach. The program was initiated in response to students’ limited practical communication abilities in hospitality contexts, resulting from the predominance of general English instruction that often lacks direct relevance to industry needs. The training employed a participatory approach consisting of needs assessment, contextual material development, interactive learning activities through role-play and service simulations, and comprehensive evaluation using pre-tests, post-tests, performance assessments, and observations. The participants were 56 eleventh-grade students from the Hospitality Study Program. The results demonstrated a significant improvement in students’ English communication competence, as indicated by an increase in the average score from 58 in the pre-test to 78 in the post-test. Improvements were observed across various aspects of communication, including pronunciation, vocabulary, fluency, grammar, and appropriateness of language use. Furthermore, students showed greater confidence, participation, and readiness to communicate in practical hospitality situations such as front office services, restaurant services, and tour guiding activities. The findings suggest that integrating English for Specific Purposes (ESP), particularly English for Tourism, with practice-based learning is effective in improving students’ communication skills and workplace readiness. Therefore, this training model can serve as a relevant and applicable strategy for strengthening vocational education, particularly in the tourism and hospitality sectors.
Development of a Mixed Reality Based Learning Application for Microcontroller Education Using the Luther Sutopo Multimedia Development Method Antoni Pribadi; Ratu Natalia Marjani Ufayrah; Andri Nofiar. Am; Nurkholis Nurkholis; M. Alkadri Perdana
International Journal Software Engineering and Computer Science (IJSECS) Vol. 6 No. 1 (2026): APRIL 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v6i1.6817

Abstract

The rapid advancement of immersive technologies has created new opportunities to improve learning effectiveness, particularly in technical education such as microcontroller systems. Conventional teaching methods still rely heavily on static visualizations and theoretical explanations, which limit students' ability to understand complex hardware interactions. A mixed reality (MR)-based learning application was developed to improve students' conceptual understanding of microcontroller components and their functions in an interactive and immersive environment. The development process followed the Luther–Sutopo multimedia development method, consisting of six stages: concept, design, material collecting, assembly, testing, and distribution. The application was built using Unity and Blender and deployed on the Oculus Meta Quest 2 platform. Usability testing involved 10 vocational students with prior knowledge of microcontrollers. The application achieved an average usability score of 4.54 out of 5 (90.8%), placing it within the "very feasible" category. Beyond feasibility metrics, the system appeared to strengthen students' spatial understanding, engagement, and interaction with microcontroller components. These findings suggest that pairing mixed reality with a structured multimedia development model can meaningfully improve the effectiveness of technical education.
Sistem Pendukung Keputusan Evaluasi Kinerja Pegawai Menggunakan Metode Complex Proportional Assessment Hafizh Prayoga; Antoni Pribadi
Sistem Pendukung Keputusan dengan Aplikasi Vol 3 No 1 (2024)
Publisher : Ali Institute or Research and Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55537/spk.v3i1.788

Abstract

Tujuan penelitian ini adalah untuk mengatasi kendala dalam proses evaluasi kinerja pegawai, terutama terkait tingginya tingkat subjektivitas dan ketidakjelasan kriteria penilaian. Dengan menggunakan metode Complex Proportional Assessment (COPRAS), penelitian ini bertujuan merancang dan mengimplementasikan Sistem Pendukung Keputusan Evaluasi Kinerja Pegawai berbasis web. Dalam penelitian ini mencakup hasil pengumpulan data berupa penilaian kinerja pegawai, serta langkah-langkah penyelesaian metode COPRAS dan implementasi SPK berbasis web, termasuk penentuan bobot dan kriteria untuk menilai kinerja pegawai secara terstruktur. Kesimpulan dari penelitian ini menunjukkan bahwa Sistem Pendukung Keputusan Evaluasi Kinerja Pegawai berbasis web menggunakan metode COPRAS dapat mengatasi tingkat subjektivitas dan ketidakjelasan kriteria penilaian.Hasil analisis dari penelitian ini mendapatkan sebuah utilitas nilai Tingkat kinerja seluruh pegawai dan  hasil laporan evaluasi ini dapat menjadi dasar penghargaan, pertimbangan promosi jabatan, dan keputusan terkait manajemen sumber daya manusia dengan lebih obyektif dan terukur.
DEVELOPMENT OF ARTIFICIAL INTELLIGENCE-BASED ROBOTS FOR RESCUE TASKS AT DISASTER LOCATIONS Achmad Nashrul Waahib; Iwan Ady Prabowo; Kusnadi Kusnadi; Antoni Pribadi; Syafiq Amir
Journal of Moeslim Research Technik Vol. 2 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/technik.v2i1.1929

Abstract

The increasing frequency of natural disasters highlights the urgent need for efficient rescue operations. Traditional methods often face limitations in accessing hazardous areas, making the development of intelligent robotic systems essential for enhancing rescue efforts. This research focuses on creating an AI-based robot specifically designed for search and rescue tasks in disaster-stricken locations. The primary aim of this study is to develop a robotic system that utilizes artificial intelligence to navigate complex environments, identify survivors, and deliver essential supplies. The research seeks to evaluate the robot's effectiveness in real-world scenarios and its potential to improve response times during emergencies. A systematic approach was employed, combining hardware design and software development. The robot was equipped with advanced sensors, machine learning algorithms, and autonomous navigation capabilities. Field tests were conducted in simulated disaster environments to assess the robot's performance in detecting obstacles, locating victims, and executing rescue tasks. The AI-based robot demonstrated a 90% success rate in locating simulated survivors and effectively navigating through obstacles. Response times were significantly reduced compared to traditional methods, showcasing the robot's potential to enhance rescue operations in real emergencies. This research successfully developed an AI-driven robotic system for search and rescue tasks, demonstrating its effectiveness in improving operational efficiency.
Peningkatan Kompetensi Guru Sekolah Menengah Kejuruan Melalui Implementasi Teknologi Pembelajaran 4.0 Berbasis LMS, Quizizz dan Google Classroom Basorudin Basorudin; Antoni Pribadi; Dedi Leman; Luth Fimawahib
Journal of Social Responsibility Projects by Higher Education Forum Vol 7 No 1 (2026): July 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jrespro.v7i1.9636

Abstract

The digital era demands that the education sector be able to adapt to the development of information technology, especially in the implementation of digital-based learning. However, the problem at SMK Negeri 1 Tambusai Utara is the still low understanding and application of 4.0 technology by teachers in the learning process, even tho supporting facilities such as the internet are well available. Therefore, a workshop on the implementation of 4.0 technology thru Learning Management Systems (LMS) such as Quizizz, Kahoot, and Google Classroom was conducted with the aim of enhancing teachers' competence in utilizing learning technology. The implementation method was carried out in two stages, namely the delivery of theoretical material and direct practice. The results of the activity show that all participants were able to understand and implement the LMS with a high level of success. Additionally, there was a shift in the learning pattern to become more interactive and student-centered, with an activity proportion of 70% students and 30% teachers. Thus, this workshop is effective in enhancing teachers' technological competencies and encouraging more engaging, effective, and efficient learning innovations.
Design of an Edge Computing Based Industrial Internet of Things Architecture for Real Time Predictive Maintenance in Advanced Manufacturing Systems Simon Simarmata; Panser Karo-Karo; Budi Artono; Muhammad Akbar Hariyono; Ardy Wicaksono; Antoni Pribadi
International Journal of Mechanical, Industrial and Control Systems Engineering Vol. 2 No. 4 (2025): December :IJMICSE: International Journal of Mechanical, Industrial and Control
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijmicse.v2i4.407

Abstract

Background: The increasing complexity of industrial production systems requires machine condition monitoring solutions that are capable of operating in real time with high accuracy and responsiveness to support predictive maintenance strategies. Conventional cloud based monitoring systems often experience limitations such as high latency and dependence on stable network connectivity, which can delay decision making processes in critical industrial operations. Objective: This study aims to design and evaluate an Industrial Internet of Things (IIoT) architecture based on edge computing to improve the efficiency of industrial sensor data processing and accelerate anomaly detection in industrial machines. Method: The research adopts an experimental approach by designing a system architecture consisting of a sensor layer, edge computing layer, and cloud layer. Industrial sensors, including vibration, temperature, and current sensors, continuously collect machine operational data, which are then processed locally at the edge node using a machine learning based anomaly detection algorithm. System testing is conducted in a simulated manufacturing environment to evaluate performance based on latency, reliability, and detection accuracy. Results: The results indicate that edge based data processing significantly reduces latency compared with cloud-based processing and enables faster responses to machine condition changes. Additionally, the implemented anomaly detection algorithm achieves high accuracy in identifying abnormal sensor data patterns.
Co-Authors Achmad Nashrul Waahib Alfarizi Siregar , Matjen Am, Andri Nofiar Andri Nofiar Andri Nofiar Andri Nofiar Andri Nofiar Am Andri Nofiar. Am ANGGARA, YOGI Ardiansyah Hamid Ardy Wicaksono Baehaqi Basorudin Basorudin, Muhammad Belia Afifah Budi Artono D. Senthil Kumar Dedi Leman Deny Prasetyo Dzulhijjah Yetti Febrianton, Adi Fenty Kurnia Oktorina Fina Nasari Fina Nasari Fitri Fitri Fitri Fitri Fitri Fitri Fitri habibie, indra Hafizh Prayoga Hariyono, Muhammad Akbar Harmi Yelmi Hayatul Khairul Rahmat Indra Habibie Indra Irawan Indra Irawan Iwan Ady Prabowo Jazman, Muhammad Kumar, D. Senthil Kurnia, Dedi Kusnadi Kusnadi Laksono Trisnantoro Luth Fimawahib M. Alkadri Perdana M. Rukhsah M. Rukhsah M.Kom, Fitri Merlia Rahma Yani Merlia Rahmayani Mohammad Alkadri Perdana Mohammad Badri Muhammad Jazman Muhammad Ridwan Muhammad Ridwan Muhammad Rukhshah Mursalim Mursalim Niken Ellani Patitis Nofrifaldi Nur Asma Deli Nurbit Nurbit Nurfitriani, Desi Nurkholis Nurkholis Nurkholis Nurkholis Nurkholis Panser Karo-Karo Perdana, M. Alkadari Perdana, M.Alkadri Putri, Indah Purnama Putri, Tara Liana Ramadhani Rahmad Akbar Ratu Natalia Marjani Ufayrah Rika Aryati Rukhshah, Muhammad Safitri, Mulya Satria Riki Mustafa, Satria Riki Sepdu Dehiya, Yogi Simon Simarmata Slamet Triyanto Slamet Triyanto Supriyanto, Asep Suyahman Suyahman Syafiq Amir Syawaluddin Khadafi Parinduri Tasya Annisa S Taymour A. Hamdallah Tri Kurniaty Wahyu Caesaendra Widiastuti, Rosalina Yani Yedi Sispurwanto Yustria Handika Siregar Zulfikar