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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Robotics and Automation (IJRA) International Journal of Reconfigurable and Embedded Systems (IJRES) International Journal of Applied Power Engineering (IJAPE) International Journal of Advances in Applied Sciences Proceedings of Annual International Conference Syiah Kuala University - Life Sciences & Engineering Chapter TELKOMNIKA (Telecommunication Computing Electronics and Control) Sinergi Jurnal Informatika dan Teknik Elektro Terapan CESS (Journal of Computer Engineering, System and Science) JURNAL NASIONAL TEKNIK ELEKTRO JOURNAL OF ELECTRICAL AND SYSTEM CONTROL ENGINEERING Jurnal SOLMA RELE: Rekayasa Elektrikal dan Energi Jurnal Teknik Elektro Jurnal Inotera Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal TESLA: Jurnal Teknik Elektro Indonesian Journal of Applied Informatics Jurnal Elektro dan Telkomunikasi JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vocatech : Vocational Education and Technology Journal Jurnal Vokasi MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering International Journal of Advances in Data and Information Systems Bulletin of Computer Science and Electrical Engineering (BCSEE) Accounting and Business Journal INVENTORY : Industrial Vocational E-Journal On Agroindustry International Journal of Engineering, Science and Information Technology Multidiciplinary Output Research for Actual and International Issue (Morfai Journal) Andalasian International Journal of Applied Science, Engineering, and Technology Mejuajua Jurnal Janitra Informatika dan Sistem Informasi Journal of Renewable Energy, Electrical, and Computer Engineering Andalas Journal of Electrical and Electronic Engineering Technology Sisfo: Jurnal Ilmiah Sistem Informasi Jurnal Energi Elektrik Multiverse: Open Multidisciplinary Journal Jurnal Fokus Elektroda (Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) International Conference on Health Science, Green Economics, Educational Review and Technology (IHERT) Jurnal Litek : Jurnal Listrik Telekomunikasi Elektronika Journal Geuthee of Engineering and Energy Jurnal Rekayasa elektrika Buletin Pengabdian Journal Of Artificial Intelligence And Software Engineering Jurnal Ilmu Komputer dan Sistem Informasi Jurnal Malikussaleh Mengabdi Jurnal Solusi Masyarakat Dikara Applied Engineering, Innovation, and Technology Portal Riset dan Inovasi Sistem Perangkat Lunak Jurnal Informatika Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Arnawan Hasibuan
Universitas Malikussaleh
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology 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 Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

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Studi Komparasi Tingkat Error Transformator Arus 24 kV menggunakan Omicron CPC 100 Agustian, Ananda; Daud, Muhammad; Fariadi, Dedi; Hasibuan, Arnawan; Lukman, Fajar Syahbakti; Pramulya, Ravi Andika
Jurnal Litek : Jurnal Listrik Telekomunikasi Elektronika Vol. 23 No. 1 (2026): Jurnal Litek, Maret 2026
Publisher : Jurusan Teknik Elektro Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/litek.v23i1.109

Abstract

Transformator arus merupakan komponen pokok dalam peralatan pengukuran dan proteksi yang berfungsi melindungi relay khususnya pada industri yang memakai tegangan tinggi maupun rendah. Pemeliharaan dan pengujian yang baik sangat diperlukan agar trafo arus menjadi lebih baik dari segi umur dan kualitasnya. Untuk itu, diperlukan pemeriksaan dan pengujian trafo arus termasuk tingkat error-nya saat diproduksi ataupun saat pemakaian secara rutin agar terus terpantau kualitasnya. Studi ini menyajikan komparasi hasil pengukuran trafo arus menggunakan alat ukur Omicron CPC 100 untuk pengukuran tingkat error trafo arus dengan tegangan 24 kV dengan persentase injeksi arus 100%, 50%, dan 25%. Trafo arus yang diuji adalah trafo arus seri 17CI00020. Selanjutnya hasil pemeriksaan dan pengujian tersebut dibandingkan dengan standar yang berlaku. Hasil penelitian ini menunjukkan bahwa trafo arus yang diuji memiliki tingkat error yang sesuai dengan standar SPLN D3.014-1: 2009 dengan kelas akurasi 0,2. Pada pengujian trafo arus dengan injeksi 100% memiliki tingkat error yang paling baik yaitu 0%. Sedangkan pengujian dengan injeksi arus 50% dan 25% memiliki tingkat error lebih tinggi yaitu masing-masing 0,18% dan 0,29%.
Comparison of Logistic Regression and Random Forest Methods in Predicting Vehicle Tax Payment Compliance Khairul Fuadi; Taufiq Taufiq; Arnawan Hasibuan; Dahlan Abdullah; Nurdin Nurdin
Jurnal Informatika Vol. 13 No. 1 (2026): April
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/informatika.v13i1.11944

Abstract

Motor vehicle tax is a major source of Regional Original Income (PAD). However, the level of motor vehicle tax payment compliance in North Aceh Regency is still suboptimal, particularly related to late payments. A data-driven approach is needed to predict and understand taxpayer compliance patterns more accurately. This study aims to compare the performance of the Logistic Regression and Random Forest methods in predicting motor vehicle tax payment compliance, as well as to identify factors that influence taxpayer compliance behavior at the North Aceh Samsat (Sat). This study uses secondary data in the form of motor vehicle tax payment transactions at the North Aceh Samsat for the 2022–2024 period, totaling 100,000 observations. The response variable is the tax payment compliance status (compliant and non-compliant), while the predictor variables include vehicle age, type of ownership, vehicle type, and vehicle brand. The data is divided into 70% training data and 30% testing data. The performance evaluation model is conducted using accuracy, precision, recall, and Area Under Curve (AUC) metrics. The analysis results show that Random Forest has better predictive performance than Logistic Regression, with higher accuracy and AUC values. Vehicle age and type of ownership are the most influential variables in predicting tax payment compliance, while vehicle brand has a relatively smaller influence. Logistic Regression provides a clear interpretation of the variable relationship, but has lower discrimination ability than Random Forest. Random Forest has proven to be more effective as a prediction model for motor vehicle tax payment compliance at the North Aceh Samsat. The application of machine learning-based predictive models has the potential to support more targeted policy making in an effort to improve motor vehicle tax payment compliance, especially in reducing late payments.
Research Article Prediksi Harga Daging Sapi Menggunakan Regresi Linear Berganda Rio Setiawan; Ajuirai Ajuirai; Rifqy Azka R; Arnawan Hasibuan; Rizky Putra Fhonna
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 4 No. 3 (2025): September 2025
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v4i3.223

Abstract

Beef prices in the market tend to experience unpredictable changes influenced by various factors, such as consumer demand and feed costs. This instability can make it difficult for business actors and farmers to determine the right pricing strategy. This study aims to build a beef price prediction system using the multiple linear regression method with input variables in the form of the amount of demand and feed costs. Data were obtained from the National Food Price Panel and processed using a statistical approach to form a predictive model. The Root Mean Square Error (RMSE) value is used as an indicator of model accuracy. The model results are then implemented into a website-based application using the PHP programming language and MySQL database. This application allows users to enter input data and get real-time price prediction results. With this system, it is expected to help farmers, traders, and policy makers in making more accurate and efficient decisions based on historical data. This system can also be further developed by adding other related variables to increase the level of accuracy of beef price predictions.
Effect of binder variations on the performance of one-phase induction motors in bio-pellet production process Ediwan, Ediwan; Hasibuan, Arnawan; Dabet, Abubakar; Daud, Muhammad; Lukman, Fajar Syahbakti; Supriadi, Gandi
International Journal of Advances in Applied Sciences Vol 15, No 1: March 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v15.i1.pp253-260

Abstract

Indonesia has many oil palm plantation areas. One of the negative impacts is the large amount of empty fruit bunch (EFB) waste. Utilizing EFB as a bio pellet as a renewable energy source is one of the solutions to reduce waste while supporting the green energy transition. EFB bio-pellets have the potential to replace fossil fuels, but face challenges in setting good quality standards. The production process of EFB bio-pellets uses a variety of binder contents. This study aims to analyze the influence of different levels of binder content on the quality of bio-pellet products. Statistical analysis of linear regression was performed to measure energy consumption and motor performance in the production process of EFB bio-pellets. This study provides recommendations to help maximize the quality and efficiency of the bio-pellet production process from palm oil EFB waste.
Analisis Performa Voice Recognition Pada Smart Speaker Menggunakan Metode Random Forest Yani, Muhammad; Fikry, Muhammad; Hasibuan, Arnawan; Nurdin; Munirul Ula; Husaini
Jurnal Inotera Vol. 11 No. 1 (2026): January-June 2026
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol11.Iss1.2026.ID654

Abstract

The development of Internet of Things (IoT) and artificial intelligence technology has driven the increasing use of voice user interfaces (VUI) as a more natural form of human-computer interaction. One widely used VUI implementation is voice recognition-based smart speakers. Despite its widespread adoption, voice recognition performance on smart speakers is not necessarily optimal when used in real-world conditions, particularly in far-field scenarios that are influenced by user distance, environmental noise, and system response time. This study aims to analyze and compare the voice recognition performance of Amazon Alexa smart speakers and the Interactive Speaker System as a non-vendor comparison system. Testing was conducted at varying user distances in a non-soundproof room to represent real-world operational conditions.The obtained performance data was analyzed using the Random Forest method as a classification tool due to its ability to handle multivariate data and nonlinear relationships between variables. The results showed that variations in user distance significantly affected the voice recognition performance of both systems, with a tendency for performance to decrease as distance increased. In addition, differences in system architecture characteristics also influenced the level of resilience to environmental conditions. The application of the Random Forest method also enabled the identification of dominant factors that influence the success of voice recognition. This research is expected to provide theoretical contributions in the study of voice recognition performance in far-field scenarios, as well as practical contributions as a basis for consideration in the selection and development of more reliable voice-based interaction systems in real environments.
Co-Authors . Syafrudin A. Z, Abdullah Abdul Rahim, Siti Rafidah Abdul Rozak Abta, Armen Adi Setiawan Adriansyah, Fery Afrizal, Ari Agung Budi Muljono Agustian, Ananda Ahmad Maulana Kamal Ahmada Qodri Ahmed Al-Ani, Waleed Khalid Ainal Mardhiah Aini, Nyak Qurratu Ajuirai Ajuirai Akbar, Farhan Al Farizi, Reza Al-Ani, Waleed Khalid Ahmed Aldio Reza, Rahmanda Alfin Syatriawan Alpaslan DURMUŞ Amalia, Syifa Amrina Rosyada Andian, Andian Andik Bintoro Andiko, Benny Anggi Chairani Apriansyah, Rian Ardan, M. Ardy Ardian Ardian Ari Afrizal Ari Nrartha Arianto, Sofyan Armen Abta AS, Nasruddin Ashari Zaini Hasibuan Asran Asran Asran, Asran Asri Asri Azman Azman AZMI, AZMI Azzanna, Maghriza Badriana, Badriana Baidhawi Baidhawi Baidhawi, B Bhunte, Shrikant Vasantrao Catra Indra Cahyadi Cindenia Puspasari Dabet, Abubakar Dahlan Abdullah Deassy Siska Dedi Fariadi Desky, Muhammad Aulia Desti Sucipto, Fentisari Dewi Maya Sari Dewi Sartika Tambunan Dheo Pratama Dupli, Dupli Dwiputra, Muhammad Farhan Dy Ilham Ediwan, Ediwan Elvy Sahnur Nasution Erwin Syahputra, Erwin Ezwarsyah Ezwarsyah Fachroji, Rizqan Fadhilati, Nyak Intan Fadli Mahyudin Fadlisyah Fadlisyah Fahmi, Bunga Luthfia Fahrian Roid Fahrian Roid Faisal Faisal Faizar Abdurrahman Fajar Syahbakti Lukman Fajar Syahbakti Lukman Fajar Syahbakti Lukman Fakhruddin Ahmad Nasution Farizi, Reza Al Ferona, Naiza Fidyatun Nisa Firwan Dani Fitra, M Gard, Muskan Gulschen Kerimzade Habib Muharry Yusdartono Hafidzuddin, Muhammad Hamdani Hamida Azzahro, Hasna Hasibuan, Ashari Zaini Hasibuan, Fairuz Raihanah Hasibuan, Muhammad Rafif Fadhlurrahman Hasibuan, Muhammad Rafif Fadlurrahman Hendri Cahyadi Hendrival, H Herman Fithra Hidayatullah, Ferdy Hilmi Hilmi Hilmi Husaini Husni Mubarak Hutagalung, Rizki Shobirin I Made Ari Nrartha I Made Ginarsa Ichsan Ichsan Idaryani Idaryani Ikhsan Fahri Ilham Kurnia Nasution Indra Nisja Indra Praditya Ira Devi Sara Irfansyah, Dedi Isa, Muzamir Ismail, Baharuddin Ismi Raihan Jintaka, Dhandis Rito Kamal, Ahmad Maulana Kartika Kartika Kartika Kartika Kasman Kerimzade G.S Kerimzade, Gulschen Khaidar, Al Khairul Fuadi Kurniawan, Dicky Kuswoyo, Muhammad Riko Lapara, Muhammad Ilham Lubis, Muhammad Hanafi Sahar Lukman, Fajar Syahbakti M Fitra Waldi M Mursalin M Sayuti M. Rifai M. Sayuti Maghfirah, Riezka Maharani, Citra Putri Mahendra, Aldi Aryanugraha Maizuar, M Mariyudi Mariyudi Mariyudi, M Marya Ulfa Marzuki Marzuki Maulana, Mirza Meidina Putri, Mifta Meutia, Rizka Dwi Misbahul Jannah Misbahul Jannah Misriana Misriana Misriana, Misriana Mohd Irwan Yusoff Mohd Irwan Yusoff Muchlis Abdul Muthalib Muhammad Muhammad Daud Muhammad Fikry Muhammad Fitra Zambak muhammad ilham manishe Muhammad Syakirman Muhammad Yani, Muhammad Muhammad Yusril Zulfikar Muhammad, M Muhammad, Muhammad Mulyadi Munawaroh, Nur Laela Munirul Ula Mursalin . Mursalin, M Mutammimul Ula Muthmainnah Muthmainnah Muzair Isa Muzamir Isa Muzamir Isa Muzamir Isa Muzamir Isa Nababan, Sabar Naiza Ferona Naqi, M. Fathan Nasruddin AS Nasution, Ardiansyah Nasution, Elvy Sahnur Nasution, Ilham Kurnia Nate, Tajuk Tangke nisa nurkhaira Nisak, Rahmatin Novianty, Vivi Novra Nratha, I Made Ari Nugroho, Septian Ilham Nura Usrina Nurdin Nurdin Nurdin Nurfadila, Nadia Nurfebruary, Nanda Sitti Nursan Junita, Nursan Nurul Islami, Nurul Nuryawan, Nuryawan Panji Aji Riha Wijayanto Pelawi, Zulfadli Pramulya, Ravi Andika Prastia, Ramadhan Priagusno, Heri Puspasari, Cindeni Qausar, Muhammad Qurratu Aini, Nyak Rafif, Muhammad Rahmad Rahmad Rahmat Andria Raihan Putri Raihan, Ismi Ratri Candrasari, Ratri Razif, Razif Renno Kamal Putra Riezka Maghfirah Rifqy Azka R Rio Setiawan Rita Sovianto Rizki Yaldi Rizky Almunadiansyah Rizky Putra Fhonna Rizqan Fachroji Robi Kurniawan Robi Kurniawan Rofandy, Muhammad Yudha Rohana Ismail ROHANA ROHANA Roid, Fahrian Rony, Zahara Tussoleha Rosdiana Rosdiana Rosdiana Rosdiana Rozakira Zulfa rozakira zulfa Rozzi Kesuma Dinata Rusadi, Athirah Safina, Putri Anjali Sahal Mahfudz Said Fadlan Anshari Saifannur Saifannur Salahuddin Salahuddin Sanatra, Dedi sanjani, lihan Sapto Nisworo Sapto Nisworo Saputra, Ahmad Sandi Yayan Sartika Yanti Sastra Wijaya, Reza Satriawan, Ivan Sayuti, M Sayuti, Muhammad Selamat Meliala Sembiring, Rizky Ramadhana Sendi Pria Ardana Shobirin H, Rizki Silvia Silvia Siregar, Aria Maigawa Siregar, Widyana Verawaty Siregar, Wiedyana Verawaty Siti Rafidah Abdul Rahim Suhendra Suhendra Suhendra Suhendra Sukarwoto, Sukarwoto Sultan Sultan Supriadi, Gandi Supriono Supriono Surya Hardi, Surya Suryati Suryati Syafii . Syarifah Muthia Putri Syatriawan, Alfin Taneza, Erlan Tangke nate, Tajuk Taufiq Taufiq Taufiq Teuku Multazam Verawaty Siregar, Widyana Waldi, M. Fitra Waldi, Muhammad Fitra Widyana Verawaty Siregar Widyana Verawaty Siregar Yoga Tri Nugraha Yundari, Yundari Zahiri, Muhtadi Zainuddin Ginting Zainuddin, Abdullah Zara Yunizar Zulhiz Tami Zulnazri, Z