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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Syntax Literate: Jurnal Ilmiah Indonesia Jurnal Vokasi AJAD : Jurnal Pengabdian kepada Masyarakat Jurnal Teknik Indonesia Jurnal Rekayasa elektrika Enrichment: Journal of Multidisciplinary Research and Development kawanad PESARE: Science and Engineering Service Journal Jurnal Polimesin Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Mathematics Education Journal Jurnal Pengabdian Rekayasa dan Wirausaha Nawadeepa: Jurnal Pengabdian Masyarakat
Yuwaldi Away
Syiah Kuala University
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Public Health Social Sciences Transportation Other

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Reliability enhancement in petrochemical industry: an integrated RBD and FTA approach Ariandi, Teuku; Away, Yuwaldi; Dirhamsyah, Dirhamsyah
Jurnal Polimesin Vol 23, No 4 (2025): August
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v23i4.7210

Abstract

Turnaround maintenance plays an important role in the petrochemical industry, directly influencing production reliability and operational continuity. Unplanned shutdowns and service disruptions can result in significant economic losses, yet statistics show that nearly 80% of turnaround activities fail to achieve their performance targets in terms of time, cost, safety, quality, and environmental compliance. This study addresses these challenges by evaluating and enhancing the reliability of the ammonia production system at an Indonesian petrochemical company through an integrated approach combining the Reliability Block Diagram (RBD) and Fault Tree Analysis (FTA). RBD modeling was used to represent the production system as functionally arranged blocks, while FTA was applied to identify root causes of failures. Analysis using ReliaSoft BlockSim and Weibull++ revealed that the system’s reliability was only 0.029 over 5,000 hours, far below the target reliability of 0.9. The most critical components were identified as the Primary Reformer, Ammonia Compressor, and Syngas Compressor. Seven improvement scenarios were simulated, with results showing that the combination of preventive maintenance (PM) and load-sharing configuration yielded the most effective outcome. This approach improved reliability to 0.076 and availability to 0.812. The results show that a proactive, reliability-based maintenance strategy combined with system redundancy can substantially reduce risks of unscheduled shutdowns, extend turnaround intervals, and improve production uptime. Furthermore, the integrated RBD-FTA approach provides a robust framework for proactively identifying and addressing vulnerabilities in complex petrochemical systems.
Manajemen Pengisian Baterai Li-Ion dengan Algoritma Sorting pada Pembangkit Photovoltaic (PV) Maulana, Edi; Away, Yuwaldi; Sara, Ira Devi
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v9i4.15482

Abstract

Pembangkit tenaga surya terdiri dari komponen solar panel, sistem control, sistem penyimpanan, dan inverter. Tenaga matahari disimpan dalam baterai dan disalurkan ke inverter untuk digunakan oleh beban. Salah satu jenis kimia baterai yang sering digunakan yaitu lithium-ion yang memiliki kapasitas besar namun membutuhkan ruang yang kecil. Baterai lithium sangat berpengaruh dengan suhu, over charge, deep charge, dan over discharge yang menyebabkan umur pemakaian baterai menjadi pendek sehingga harus diganti ketika mencapai batas tertentu. Dibutuhkan sistem manajemen pengisian daya baterai untuk memperpanjang umur baterai. Penelitian ini mengimplementasikan algoritma berbasis sorting pada control pengisian baterai dengan mempertimbangkan suhu, state of charge, dan state of health disertai dengan proteksi over charge, deep charging dan over discharge. Algoritma dikembangkan untuk dapat membaca ketersediaan sinar matahari dan kebutuhan beban sampai waktu diperlukan. Penelitian dilakukan secara simulasi sehingga dapat menjalankan berbagai skenario fluktuasi sinar matahari dan fluktuasi beban. Dengan implementasi algoritma ini diharapkan dapat memanajemen pengisian baterai secara efektif dan efisien serta memperpanjang umur baterai. Hasil pengujian dengan skenario irradiance besar dan beban besar menunjukkan nilai battery cycle sebesar 80 cycle (dengan waktu simulasi 10 hari), skenario pengujian irradiance besar dan beban kecil menunjukkan nilai 40 cycle, skenario irradiance kecil beban besar menunjukkan nilai cycle sebesar 20 cycle, dan skenario pengujian irradiance kecil dan beban kecil pada nilai 15 cycle. Semua baterai memiliki SOC dan cycle yang berbeda. Hasil manajemen menunjukkan bahwa cycle baterai dapat dikurangi secara keseluruhan dengan melakukan prosessorting untuk charging/discharging di setiap cell baterai.
Unjuk Kerja Pendeteksian Dhamir Raf’a Munfasil pada Citra Al-Qur’an dengan Penggabungan Algoritma Adaboost dan Tranformasi Slant Nargaza, Juanda; Away, Yuwaldi; Arnia, Fitri
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v9i4.15486

Abstract

Dalam penelitian ini pendeteksian Pola karakter Dhamir Raf’a Munfasil (DRM) pada citra Al-Qur’an menggunakan metode Transformasi Slant, Adaboosting dan gabungan Slant - Adaboosting yang kemudian di ukur unjuk kerja pendeteksian DRM pada setiap metode. Hasil penelitian menunjukkan bahwa sistem pendeteksian pola Dhamir Raf’a Munfasil pada citra Al-Qur’an menggunakan Transformasi Slant memiliki prescision sebesar 50% dan Recall 90%. Dengan menggunakan Algoritma Adaboosting memiliki prescision sebesar 71% dan Recall 92%. dengan menggunakan gabungan Algoritma tersebut Slant-Adaboost memiliki prescision sebesa 86% dan Recall 93%. Dari hasil perbandingan antara Adaboost dan Gabungan Slant-Adaboost, Slant-Adaboost memiliki tingkat akurasi lebih baik dari pada Adaboost sendiri.
Peningkatan Kemampuan Kader Posyandu Ibnu Sina Gampong Barabung dalam Menentukan Status Gizi Balita Menggunakan Instrumentasi Digital Yunidar, Yunidar; Melinda, Melinda; Hasan, Hafidh; Away, Yuwaldi
Nawadeepa: Jurnal Pengabdian Masyarakat Volume 2, No 2 (2023): June
Publisher : Pencerah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58835/nawadeepa.v2i2.182

Abstract

The number of stunting children in the Aceh Besar region until the end of 2022 reached 1,211 cases, so that the Aceh Government and all stakeholders were very focused on reducing the number of stunting cases according to the target set by the Government of the Republic of Indonesia. To help determine the stunting case in Aceh Besar, an accurate digital measuring device is needed so that the prevention process is carried out on the right target. This community service activity is carried out continuously by applying the results of research measuring automatic nutritional status in children through high measurement and weight implemented at the Gampong Barabung Posyandu by training 12 Posyandu cadres in order to use the measuring instrument correctly. The method carried out is through practice and trials so that posyandu cadres that have been trained can determine the number of stunting cases in their area appropriately.
Diseminasi Platform Online Shop berbasis Website dan Situs Belanja Online Melinda, Melinda; Away, Yuwaldi; Yunidar, Yunidar; Raihan, Siti; Nazilla, Izza; Hasan, Vania Pratama
Nawadeepa: Jurnal Pengabdian Masyarakat Volume 2, No 3 (2023): September
Publisher : Pencerah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58835/nawadeepa.v2i3.242

Abstract

This service was created with the aim of training partners who have businesses to develop their businesses by creating websites. Where the Website is one of the promotional media which is quite influential in this increasingly sophisticated technological era compared to other promotional media which still use paper such as brochures, posters and others. Websites are the cheapest, most effective and efficient promotional media if they can be managed properly. From any point of view, promotional media using websites still has more advantages, both from the point of view of distributing information, speed of information delivery, and even the price. The idea is to use pantheon.io as a hosting creation page and use several plugins to support website creation, both design and uploading product photos. The partners involved in this activity are online entrepreneurs engaged in selling fragrance products (perfume). The method we use in creating websites is the RAD (Rapid Application Development) method. As a result of this training and mentoring, partners will be able to take advantage of the use of websites and online shopping sites, so that the websites created can be useful for partners who have businesses to increase the target market for their products even wider.
Pembinaan Pemasangan Pembangkit Listrik Tenaga Matahari bagi Santri Dayah Mini Banda Aceh Lubis, Rakhmad Syafutra; Suriadi, Suriadi; Syukri, Mahdi; Siregar, Ramdhan Halid; Masri, Masri; Away, Yuwaldi
AJAD : Jurnal Pengabdian kepada Masyarakat Vol. 5 No. 3 (2025): DECEMBER 2025
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/ajad.v5i3.684

Abstract

Solar energy is a renewable energy source that has become increasingly popular in recent years as an electricity source. However, the availability of trained personnel to install rooftop solar panels is limited. This community service program was conducted to provide training in residential solar system installation for students from Dayah Mini Banda Aceh. The training took place in the Power Electronics and Renewable Energy Laboratory at Universitas Syiah Kuala, where theoretical training on renewable energy was combined with demonstrations of equipment and simulated installation practice. The modules included rail mounting, panel positioning, inverter connections, charge controller setup, and wiring in series and parallel. Students were guided by lecturers and assisted by engineering students who had already undergone training in this field. They exhibited great enthusiasm and completed all the stages of installation successfully. This program not only addresses the shortage of workers with such skills in the solar installation industry but also helps students from low-income families acquire these practical competencies that can lead to jobs or entrepreneurship within the ever-growing sector of renewable energy; thus reducing unemployment among their communities while supporting Indonesia's shift towards sustainable energy.
Pelatihan Internet of Things Berbasis Embedded System untuk Meningkatkan Kompetensi Penelitian Mahasiswa Teknologi Informasi Away, Yuwaldi; Novandri, Andri; Raziah, Isyatur
Kawanad : Jurnal Pengabdian kepada Masyarakat Vol. 5 No. 1 (2026): March
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/kjpkm.v5i1.390

Abstract

The rapid advancement of Internet of Things (IoT) technology requires Information Technology students to go beyond theoretical understanding and develop hands-on technical skills in building functional real-world systems. This community service activity aims to strengthen students' research competence through integrated training on Embedded Systems and IoT. The implementation approach encompasses theoretical instruction on foundational concepts, hardware familiarization, and direct practice in programming and system integration. Training materials cover the use of the ESP8266 microcontroller, temperature and humidity sensors (DHT22), voltage and current sensors (INA219), the Node-RED platform, and Cloud Server-based databases. Data transmission was carried out using an internet-based communication protocol, while Node-RED served as the primary platform for data flow management and real-time dashboard visualization. The outcomes demonstrate measurable improvement in participants' ability to design remote monitoring systems, perform real-time data visualization, and apply datalogging techniques. These competencies are expected to support the quality of undergraduate final research projects and technology-based innovation initiatives relevant to current societal needs.  
Comparison Of Machine Learning Algorithms For Rice Production Prediction Karim, Abdul; Away, Yuwaldi; Syahrial; Roslidar; Hutahaean, Jeperson; William Ramdhan; Siagian, Yessica
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 10 No 2 (2026): April 2026
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v10i2.7453

Abstract

Rice production forecasting plays an important role in supporting future agricultural planning, food supply management, and food security. Accurate yield prediction allows governments and farmers to estimate production outcomes and develop appropriate strategies to maintain stable food availability.This study addresses this gap by comparing four regression-based machine learning models: Random Forest, XGBoost, Support Vector Regression (SVR), and Artificial Neural Network (ANN). All models were trained and tested using the same dataset to ensure a fair evaluation. Model performance was measured using the coefficient of determination (R²). The results show that Random Forest achieved the best performance (R² = 0.963), followed by XGBoost (R² = 0.959). In contrast, SVR (R² = -0.064) and ANN (R² = -2.417) performed poorly, indicating limited predictive capability. Overall, these findings suggest that ensemble-based methods, particularly Random Forest and XGBoost, are more reliable and effective for rice production forecasting compared to SVR and ANN.
Co-Authors . Zulfan Abdul Karim Ahmadiar, Ahmadiar Alfisyahrin ANISAH Ariandi, Teuku Azizah, Nadiatul Bahri, Al Bakhtiar, Dandi Basir, Nurlida Chairullah, Chairullah Dirhamsyah, Dirhamsyah Dirhamsyah, Muhammad Fathurrahman Fathurrahman Firdaus Firdaus Fitri Arnia Gunawan, Doni Hasan, Hafidh Hasan, Vania Pratama Hasanuddin, Iskandar Herawati, Rama Husni Husni Ikramullah, Ikramullah Ira Devi Sara Irwansyah Irwansyah Jalil, Asri Muhammad Jamil, M. Jeperson Hutahaean Kahlil, Kahlil Khadafi, M Khairul Munadi lestari, mulia Lubis, Rakhmad Syafutra Lubis, Rakhmad Syaputra Lulusi Lulusi M. Dirhamsyah Mahdi Syukri Mahmuddin Mahmuddin Mailizar Masri Ibrahim Masri Masri Maulana, Edi Melinda Melinda Mirza Rahmat, Muhammad Moulina, Aisyah Rayhan Muhammad Irhamsyah Muslimsyah Muslimsyah, Muslimsyah Muzawwir, Hendra Nargaza, Juanda Nasaruddin Nasaruddin Nazilla, Izza Novandri, Andri Nuzula, Mukhsin Oktiana, Maulisa Putra, T. Edisah Raden Mohamad Herdian Bhakti Rahmah Johar Raihan, Siti Ramdhan Halid Siregar Ramdhana, Rizka Raziah, Isyatur Rizal Munadi Roslidar Rudiansyah Putra Saddami, Khairun Safrizal Safrizal Safwan Saifuddin Muhammad Jalil Siagian, Yessica Sofyan, Sarwo Edhy Suhaeri Suhaeri, Suhaeri Suriadi Suriadi Suriadi Syahrial Syahriza, Syahriza Syahrizal Syifaul Huzni Syukriyadin Tamlicha, Akram Udink Aulia Wardana, Surya William Ramdhan Wong, W. K Yudha Nurdin Yunidar Yusria Darma Zichri, Zichri