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All Journal International Journal of Applied Power Engineering (IJAPE) International Journal of Advances in Applied Sciences Jurnas Nasional Teknologi dan Sistem Informasi ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JURNAL NASIONAL TEKNIK ELEKTRO Jurnal Ilmiah KOMPUTASI CIRCUIT: Jurnal Ilmiah Pendidikan Teknik Elektro RELE: Rekayasa Elektrikal dan Energi Jurnal Teknik Elektro ORBITA: Jurnal Pendidikan dan Ilmu Fisika CYCLOTRON METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol JOISIE (Journal Of Information Systems And Informatics Engineering) Sang Pencerah: Jurnal Ilmiah Universitas Muhammadiyah Buton Jurnal Informatika Kaputama (JIK) Jurnal Informasi dan Teknologi Gravitasi: Jurnal Pendidikan Fisika dan Sains Jurnal Vokasi MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering International Journal of Advances in Data and Information Systems Jurnal AbdiMas Nusa Mandiri Rambideun : Jurnal Pengabdian Kepada Masyarakat International Journal of Engineering, Science and Information Technology Relativitas : Jurnal Riset Inovasi Pembelajaran Fisika Andalasian International Journal of Applied Science, Engineering, and Technology Jurnal Janitra Informatika dan Sistem Informasi Brilliance: Research of Artificial Intelligence Phydagogic : Jurnal Fisika dan Pembelajarannya Jurnal Teknologi Journal of Renewable Energy, Electrical, and Computer Engineering Andalas Journal of Electrical and Electronic Engineering Technology Sisfo: Jurnal Ilmiah Sistem Informasi Jurnal Energi Elektrik Jurnal Teknologi Terapan and Sains 4.0 Jurnal Ilmiah Teknik Elektro Electrician : Jurnal Rekayasa dan Teknologi Elektro Jurnal Fokus Elektroda (Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) Jurnal Litek : Jurnal Listrik Telekomunikasi Elektronika Buletin Pengabdian Journal Of Artificial Intelligence And Software Engineering Jurnal Malikussaleh Mengabdi Jurnal Polimesin Journal Serambi Engineering (JSE) Jurnal Solusi Masyarakat Dikara Akiratech Journal of Power, Energy, and Control Journal of Industrial Engineering and Management Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Proceedings of Malikussaleh International Conference on Multidisciplinary Studies (MICoMS)
Muhammad Daud
Universitas Malikussaleh
Religion Agriculture, Biological Sciences & Forestry 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 Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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PEMANFAATAN APLIKASI PEMBELAJARAN DARING UNTUK MEMBANGUAN GENERASI HEBAT Siregar, Widyana Verawaty; Hasibuan, Arnawan; Nurdin, M. Daud
Jurnal Vokasi Vol 5, No 2 (2021): Oktober
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/vokasi.v5i2.2130

Abstract

Tujuan pengabdian ini adalah untuk memberikan pemahaman tekhnologi penggunaan berbagai macam aplikasi media belajar dan memberikan inspirasi kepada para pengajar untuk memberikan model pembelajaran yang kreatif agar siswa dapat semangat dan tetap mendapatkan pendidikan yang berkualitas sehingga menjadi generasi tangguh dan hebat di masa mendatang. Kegiatan pengabdian ini dilakukan berbentuk interaksi langsung antara pemateri dengan para pengajar (guru) dengan memberikan secara langsung contoh pelaksaan pekerjaan dengan menginput materi pembelajaran dan absensi melalui aplikasi dibawah lisensi Google dan mencari materi belajar yang menarik sehingga menjadikan materi belajar online terlihat bagus dan menjadi perhatian bagi siswa.
The Development of a Laundry Location Tracking Application Model Based on Artificial Intelligence and Mobile Computing Chaizir, Muhammad; Abdullah, Dahlan; Daud, Muhammad
Journal of Industrial Engineering and Management Vol 1, No 1 (2023)
Publisher : Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/jaiem.v1i1.13

Abstract

There is a lack of information systems that can facilitate the laundry business in reaching the market, so an application is needed to provide information to be known by many people in the city of Banda Aceh. One is by delivering information using the nearest laundry location search application. With the help of the internet and smartphones, it can make it easier for people to find the nearest laundry. The researcher is interested in designing a smartphone application to provide information on the nearest laundry. This study aims to create information media to develop an artificial intelligence-based laundry location search application model and a laundry location search application model with mobile Computing in Banda Aceh. The stages of this research are field observation, application design and design, application trials, research implementation permits, research data collection, and analysis of research results. The research implementation is located in the city of Banda Aceh. This research method is included in the Research and Development (RD) development category. The data collection used is as follows: notes on the results of interviews, field observations, and data related to informants. The results of this study are in the form of an application that provides information on the location of the nearest laundry from a distance of the user automatically when the application is run, and the user can search for the lowest price, 4+ star branches, and laundries that provide Pickup services.
Penyuluhan Penempatan PLTS Rooftop Hybrid PLN Menggunakan ATS pada Guru SMP Negeri 5 Lhokseumawe Meliala, Selamat; Muhammad Jalil, Saifuddin; Yasir Amani; Risna Dewi; Muhammad Daud; Ekamaida
Jurnal Malikussaleh Mengabdi Vol. 5 No. 1 (2026): Jurnal Malikussaleh Mengabdi, Januari 2026
Publisher : LPPM Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/jmm.v5i1.25396

Abstract

Kebutuhan energi listrik yang terus meningkat mendorong peralihan ke sumber energi terbarukan seperti panel surya. Kegiatan pengabdian masyarakat ini bertujuan memberikan edukasi tentang penggunaan panel surya rooftop kepada guru dan siswa SMP Negeri 5 Kota Lhokseumawe. Metode kegiatan meliputi ceramah, demonstrasi panel surya mini, dan diskusi interaktif. Hasil kegiatan menunjukkan peningkatan pengetahuan peserta mengenai energi surya dan minat terhadap teknologi energi bersih. Kegiatan ini diharapkan menjadi langkah awal bagi pihak sekolah untuk menerapkan panel surya sebagai sumber energi alternatif yang ramah lingkungan. Dari hasil kuisioner nilai pemahaman para peserta ratanya – ratanya jawaban yang benar hampir 100%.
HC-SR04 Sensor Implementation in an IoT-Based Fresh Fruit Bunch Filling Prototype for Vertical Sterilizer Selamat Meliala; Yogi Satya; Rosdiana Rosdiana; Muhammad Daud; Taufiq Taufiq
Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN) Vol. 2 (2024): Proceedings of International Conference on Multidisciplinary Engineering (ICOMDEN)
Publisher : Faculty of Engineering, Malikussaleh University

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

Abstract

This study develops an IoT-based Fresh Fruit Bunch (FFB) filling prototype for vertical sterilizers using the HC-SR04 ultrasonic sensor to enhance the accuracy and efficiency of the filling process in palm oil mills. The system incorporates a non-contact distance sensor to ensure precise measurement and integrates IoT technology and a Telegram bot for real-time monitoring and automation. Testing results indicated that the HC-SR04 sensor achieved high accuracy, maintaining a low tool failure rate of 0.036%, making it highly reliable for industrial applications. Visual and audio indicators, including LEDs and buzzers, were used to enhance user awareness and safety during the filling process. By automating and optimizing FFB loading, the system minimizes operational inefficiencies commonly associated with manual filling methods and improves safety by reducing human intervention. These findings suggest that the developed prototype can provide significant operational benefits to the palm oil industry and other sectors requiring similar improvements in productivity and sustainability. Future research will focus on refining the prototype and evaluating its scalability for broader industrial use.
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%.
Design of Temperature Monitoring and Stabilization System Based on Microcontroller for Outdoor Jacket in Cold Regions Thabliq Basac Bhaskara; Muhammad Daud; Selamat Meliala
Proceedings of Malikussaleh International Conference on Multidisciplinary Studies (MICoMS) Vol. 4 (2024): Proceedings of Malikussaleh International Conference on Multidisciplinary Studies (MI
Publisher : LPPM Universitas Malikussaleh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29103/micoms.v4i.966

Abstract

The design of a temperature monitoring and stabilization system on a microcontroller based cold region outdoor jacket by utilizing microcontroller technology, by ensuring user comfort while in a cold temperature environment. This research is shown specifically in cold areas, with the aim of preventing hypothermia commonly experienced by climbers or humans, who are active in cold areas. The results of the system research on outdoor jackets that can monitor and stabilize the user's body temperature automatically, especially in cold areas. This system uses an ESP32 microcontroller, which is equipped with the Blynk application to control and monitor temperature using a smartphone. When the ambient temperature drops below 20°C, the system automatically activates the carbon fiber heating pad to maintain a stable body temperature. The jacket is designed to function offline, where the system will rely on the temperature sensor to activate the carbon fibre heating pad if the temperature drops below 20°C. Test results show that the system works well, providing efficient results in power consumption, responsive to temperature changes, and effective in maintaining temperature stability. The resulting jacket is comfortable and safe so that it does not interfere with outdoor jacket users in various conditions.
Analysis of the Efficiency and Performance Effectiveness of Srikandi Application Using the UTAUT Model and Delone & Mclean Syahputra, Wawan; Abdullah, Dahlan; Nurdin, Nurdin; Daud, Muhammad; Taufiq, Taufiq
International Journal of Engineering, Science and Information Technology Vol 6, No 1 (2026)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v6i1.1806

Abstract

The development of information technology has encouraged the government to carry out digital transformation in administrative governance, one of which is through the implementation of the SRIKANDI Application (Integrated Dynamic Archive Information System). This application is designed to support the management of electronic archives and correspondence integrated across government agencies. This study aims to analyze the efficiency and effectiveness of the SRIKANDI Application in supporting government administration, focusing on service speed, documentation accuracy, and resource efficiency. The method used in this study is a mixed methods approach with a sequential explanatory design. Quantitative data were collected by distributing questionnaires to employees who used the application to assess perceptions of efficiency and effectiveness. Furthermore, qualitative data were obtained through in-depth interviews and document analysis to delve into the quantitative findings and explore contextual factors that influence application implementation. Data analysis is carried out in stages, starting with descriptive and inferential statistical analyses for quantitative data and with thematic analysis for qualitative data. This research is expected to contribute to the development of an electronic government system and serve as a reference for evaluation and policymaking related to bureaucratic digitalization. In addition, the results of this study are also expected to strengthen the literature on the effectiveness of government information systems and provide an empirical picture of the practice of implementing the SRIKANDI Application in government agencies.
Prediction Of Unemployment Rate Using The Fuzzy Time Series Chen Model Method Annisa Karima; Dahlan Abdullah; Muchlis ABD Muthalib; Nurdin Nurdin; Muhammad Daud
Brilliance: Research of Artificial Intelligence Vol. 5 No. 2 (2025): Brilliance: Research of Artificial Intelligence, Article Research November 2025
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v5i2.7310

Abstract

Unemployment is a significant socio-economic problem in Lhokseumawe City that requires serious attention from policymakers. The unemployment rate fluctuates from year to year, making accurate forecasting an important aspect in formulating effective strategies and policies to reduce unemployment. One method that can be used to analyze and forecast time series data with uncertainty is the Fuzzy Time Series (FTS) method, which applies fuzzy logic concepts to handle vague and imprecise data patterns. In this study, the Fuzzy Time Series method is applied to predict the number of unemployed people in Lhokseumawe City. The data used are historical unemployment data over a period of 10 years, from 2013 to 2022. The research process begins with defining the universe of discourse (U), determining the number and length of interval classes, defining fuzzy sets on U, and fuzzifying the unemployment data. Furthermore, Fuzzy Logical Relationships (FLR) are identified and grouped into Fuzzy Logical Relationship Groups (FLRG). The defuzzification process is then carried out to obtain crisp values, followed by forecasting calculations.The analysis was conducted using the RStudio application. The forecasting results show that the predicted number of unemployed people in 2023 is 10,514.125, which is rounded to 10,514 people. The accuracy of the forecasting model is evaluated using Mean Absolute Percentage Error (MAPE) and Average Forecasting Error Rate (AFER), both of which yield values of 6.70%. Since the MAPE and AFER values are less than 10%, the forecasting results can be categorized as very good and reliable for decision-making purposes.
Prototype of Detector for Metal Content in Packaged Drinks Using Salinity Sensor Based on Arduino Uno Mauliddin, Mauliddin; Daud, Muhammad; Multazam, Teuku; Mardhiah, Ainal; Waldi, M. Fitra
Jurnal Teknologi Vol 26, No 1 (2026): April 2026
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/teknologi.v26i1.8891

Abstract

This research aims to design and build a prototype device for detecting iron (Fe) and manganese (Mn) metals in packaged drinks using a salinity sensor processed using the Kalman filter method. Packaged drinks are a popular choice due to their convenience and variety of flavors, but their metal content needs to be monitored to prevent health risks. This system was designed using an Arduino Uno microcontroller as the main controller, with a salinity sensor to detect Fe and Mn levels, and an LCD as the data display. Testing was conducted by comparing the device's detection results with laboratory data obtained from the Banda Aceh Industrial Standardization and Services Center. The results showed that the device was able to detect Fe with an accuracy of 98.48% and Mn with an accuracy of 100%. The average measurement error for Fe was 1.52%, while for Mn, the error was 0%. These results demonstrate that the designed device functions well and has high accuracy, thus potentially being used as an independent test tool for the suitability of packaged drinks.
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.
Co-Authors Adi Setiawan Agustian, Ananda Ahmad Nayan Aidilof, Hafizh Al Kautsar Ainal Mardhiah Al-Ani, Waleed Khalid Ahmed Alchalil Alchalil Ali Imran Amrizal Ananda, Rizky Andian, Andian Andik Bintoro Andre Heri Bakriansyah Anggi Chairani Annisa Karima Ardian Ardian Arnawan Hasibuan Asran Asran Asri Asri Azhari , Fakhri Azman Azman AZMI, AZMI Azzanna, Maghriza Badriana, Badriana Baidhawi, B Chairil Pratama Chaizir, Muhammad Cindeni Puspasari Cindenia Puspasari Dabet, Abubakar Dahlan Abdullah Deassy Siska Dedi Fariadi Dery Syahputra Devi Sutri Insani Dewi Maya Sari Dirga, Muhammad Ediwan, Ediwan Ekamaida Ervina Hasan Ezwarsyah Ezwarsyah Fachroji, Rizqan Fachry Abda El Rahman Fadhillah Dandy Satrio Fadhli Syamsudin Fahmi, Mulqi Mauli Fahrian Roid Fajar Syahbakti Lukman Fajri Hakim Fajri M Kasim Fajri Yanti Fauzi Sahlan Rizki Sinaga Ferdian Ruliansyah Firman Karim Fuddin, Mudhya G.S, Kerimzade Gohatre, Umakant B. Gulschen Kerimzade Gunadi Habib Muharry Yusdartono Hafni, Afrilia Rizda Halimatus Sakdiah Hamdi Akmal Lubis, Hamdi Akmal Hasan, Ervina Hasanun Hasibuan, Arlina Hasibuan, Arman Hendrival, H Hidayatullah, Ferdy Hilmi Hilmi Hutagalung, Rizki Shobirin I Made Ari Nrartha Ichsan Alwi Nasution Ichsan Ichsan Insani, Devi Sutri Irfansyah, Dedi Isa, Muzamir Ismi Raihan Kartika Kartika Kerimzade, Gulschen Khaidar, Al Khairul Anshar Khairul Anshar Kurniawan Kurniawan, Dicky Lapara, Muhammad Ilham Lukman Hakim Lukman Hakim Lukman, Fajar Syahbakti M Mursalin M Sayuti Mariyudi Mariyudi Mariyudi, M Maryana - Maryana Maryana Maulana, Fatur Rahman Mauliddin, Mauliddin Misbahul Jannah Mohammad Heikal Muchlis ABD Muthalib Muchlis Abdul Muthalib Muhammad MUHAMMAD ALI Muhammad Ishak Idrus Panjaitan Muhammad Reza Muhammad Yusril Zulfikar Muhammad, Muhammad Munawarah Munawarah, Munawarah Munirul Ula Mursalin, M Mustaqim, Oka Arrizal Mutia Nanda Sari Muzamir Isa Nanda Novita Nisa, Hayatun Novianty, Vivi Nratha, I Made Ari Nurdin Nurdin Nurfebruary, Nanda Sitti Nurmalita Nurmalita Nyak Qurratu Aini Ochitria Cintia Br. Simajuntak P Purwanto Panji Aji Riha Wijayanto Phuyal, Sudip Pokhrel, Biswas Babu Pramulya, Ravi Andika Putra, Arwin Putri Maulina Putri, Alayda Zaielamy Qausar, Muhammad Qurratu Aini, Nyak Rafif, Muhammad Rahmad Rahmad Rahmat Andria Raihan Putri Raihan, Ismi Ratna Sari Ravi Andika Pramulya Renno Kamal Putra Rio Rangga Yudha Saragih Risna Dewi Ritonga, Adi Syahputra Rizki Suwanda Rizky Almunadiansyah Rizky Almunadiyansyah Rizky Putra Fhonna Rizqan Fachroji Rizqon Hasibuan Robi Kurniawan Robi Kurniawan Roid, Fahrian Rosdiana Rosdiana Rozanna Dewi Rusadi, Athirah Safina, Putri Anjali Safriana Safriana Sahal Mahfudz Said Fadlan Anshari Saifuddin Muhammad Jalil Salahuddin Salahuddin Sapto Nisworo Saputra, Rizwan Sayuti, Muhammad Selamat Meliala Selamat Meliala Shobirin H, Rizki Siregar, Widyana Verawaty Suhardi Makmur Suhardi Makmur Sujacka Retno Supriadi, Gandi Syahputra, Wawan Syahri, Alfis Syarifah Rita Zahara Syibral Malasyi, Syibral Taufiq Taufiq Taufiq Taufiq Teuku Multazam Thabliq Basac Bhaskara Tulus Setiawan Umar Ramadhan Siregar Verawaty Siregar, Widyana Vitani Damanik Wahyu Sepriawantama Wahyu Utomo Waldi, M. Fitra Widyana Verawaty Siregar Yanti, Fajri Yasir Amani Yogi Satya Zalfie Ardian Zara Yunizar Zulfaini Zulfaini Zulnazri, Z Zulpadli M Nasution