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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 Penelitian Pendidikan IPA (JPPIPA) Syntax Literate: Jurnal Ilmiah Indonesia Journal of Electronics, Electromedical Engineering, and Medical Informatics 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 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 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 Physics 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.
Heavy–Light Soft-Vote Fusion of EEG Heatmaps for Autism Spectrum Disorder Detection Melinda, Melinda; Gazali, Syahrul; Away, Yuwaldi; Rafiki, Aufa; Wong, W.K; Muliyadi, Muliyadi; Rusdiana, Siti
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 8 No 1 (2026): January
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v8i1.1377

Abstract

Autism spectrum disorder is a neurodevelopmental condition that affects social communication and behaviour, and diagnosis still relies on subjective behavioural assessment. Electroencephalography provides a noninvasive view of brain activity but is noisy and often analysed with handcrafted features or evaluation schemes that risk data leakage. This study proposes a deep learning pipeline that combines wavelet denoising, EEG-to-image encoding, and heavy-light decision fusion for autism detection from EEG. Sixteen-channel EEG from children and adolescents with autism and typically developing peers in the KAU dataset is denoised using discrete wavelet transform shrinkage, segmented into fixed 4 second windows, and rendered as pseudo colour heatmaps. These images are used to fine-tune five ImageNet pretrained architectures under a unified training protocol with 5-fold cross-validation. Heavy-light fusion combines one heavyweight backbone and one lightweight backbone through weighted soft voting on class posterior probabilities. The strongest single model, ConvNeXt Tiny, attains about 97.25 percent accuracy and 97.10 percent F1 score at the window level. The best heavy light pair, ConvNeXt plus ShuffleNet, reaches about 99.56 percent accuracy and 99.53 percent F1, with sensitivity and specificity in the 99 percent range. Fusion mainly reduces missed ASD windows without increasing false alarms, indicating complementary error patterns between heavy and light models. These findings show that the proposed denoise encode classify pipeline with heavy light fusion yields more robust autism EEG classification than individual backbones and can support EEG-based decision support in autism screening.
Application of a Levenberg–Marquardt-Based Backpropagation Neural Network for Rainfall Prediction Using a Single Weather Station Sukmananda, Wahyu; Irwandi; Iswardy, Edwar; Kadarsah; Ilhamsyah, Yopi; Away, Yuwaldi; Chotamongsak, Chakrit; Ardana, Dedy
Jurnal Penelitian Pendidikan IPA Vol 12 No 2 (2026)
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i2.13845

Abstract

This study aims to develop an accurate monthly rainfall prediction model for Sabang City, Indonesia, to support agriculture, disaster mitigation, and water resource management in coastal regions with complex climatic conditions. An Artificial Neural Network (ANN) trained using the Levenberg–Marquardt (LM) algorithm was employed, combining the Gradient Descent and the Gauss–Newton methods to enhance convergence speed and training stability. Meteorological data from 2015–2024, including temperature, humidity, air pressure, sunshine duration, wind direction, wind speed, and rainfall, were obtained from the Maimun Saleh Meteorological Station. Model performance was assessed using Mean Squared Error (MSE), Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and the coefficient of determination (R²). The optimal architecture consisted of a single hidden layer with 25 neurons, producing an MSE of 955.84 mm², an RMSE of 30.91 mm, an MAE of 23.06 mm, a MAPE of 34.8%, and an R² of 0.93. These results indicate that the ANN-LM model effectively captures nonlinear climatic relationships and seasonal rainfall variability. The MAPE value falls within the acceptable range reported in forecasting literature, demonstrating practical reliability. Overall, the ANN-LM approach outperformed conventional backpropagation in accuracy and training efficiency, indicating its suitability for rainfall prediction in coastal areas.
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.  
Co-Authors . Zulfan Ahmadiar, Ahmadiar Alfisyahrin ANISAH Ardana, Dedy Ariandi, Teuku Azizah, Nadiatul Bahri, Al Bakhtiar, Dandi Basir, Nurlida Chairullah, Chairullah Chotamongsak, Chakrit Dirhamsyah, Dirhamsyah Dirhamsyah, Muhammad Fathurrahman Fathurrahman Firdaus Firdaus Fitri Arnia Gazali, Syahrul Gunawan, Doni Hasan, Hafidh Hasan, Vania Pratama Hasanuddin, Iskandar Herawati, Rama Husni Husni Ikramullah, Ikramullah Ira Devi Sara Irwandi Irwansyah Irwansyah Iswardy, Edwar Jalil, Asri Muhammad Jamil, M. Kadarsah 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 Muliyadi Muliyadi Muslimsyah Muslimsyah, Muslimsyah Muzawwir, Hendra Nargaza, Juanda Nasaruddin Nasaruddin Nazilla, Izza Novandri, Andri Nuzula, Mukhsin Oktiana, Maulisa Putra, T. Edisah Raden Mohamad Herdian Bhakti Rafiki, Aufa Rahmah Johar Raihan, Siti Ramdhan Halid Siregar Ramdhana, Rizka Raziah, Isyatur Rizal Munadi Rudiansyah Putra Saddami, Khairun Safrizal Safrizal Safwan Saifuddin Muhammad Jalil Siti Rusdiana Sofyan, Sarwo Edhy Suhaeri Suhaeri, Suhaeri Sukmananda, Wahyu Suriadi Suriadi Suriadi Syahriza, Syahriza Syahrizal Syifaul Huzni Syukriyadin Tamlicha, Akram Udink Aulia Wardana, Surya Wong, W. K Wong, W.K Yopi Ilhamsyah Yudha Nurdin Yunidar Yusria Darma Zichri, Zichri