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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 Syntax Literate: Jurnal Ilmiah Indonesia Jurnal Vokasi 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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Risk Mitigation of Planning for Procurement of Material Repair and Operation with the Integration of House of Risk and Criticality Ranking Assessment methods based on Failure mode effect Analysis (Case study: PT. Pupuk Iskandar Muda) Firdaus, Firdaus; Away, Yuwaldi; Huzni, Syifaul
Enrichment: Journal of Multidisciplinary Research and Development Vol. 3 No. 4 (2025): Enrichment: Journal of Multidisciplinary Research and Development
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/enrichment.v3i4.419

Abstract

To maintain factory reliability, one of the essential factors is the availability of spare parts. Therefore, the spare parts procurement process implemented by the company must be effective and efficient. The complexity of supply chain activities in the spare parts procurement process involving multiple parties and uncertainties that occur in rapid dynamic changes may lead to the emergence of risk events with negative impacts in both short and long terms. The focus of this research is to identify operational risks in the procurement of MRO spare parts and identify alternative efforts to handle the risk of spare parts unavailability. The method used in this research is House of Risk (HOR) to identify risk events, risk agents, and design mitigation action formulations for priority risk agents based on the Aggregate Risk Potential (ARP) value that can suppress the emergence of risk agents. The research results obtained 26 risk events and 25 risk agents. Priority risk agents were obtained based on the highest ARP value, using Pareto analysis approach resulted in 14 risk agents that contributed to 81.32% of the emergence of risk events. There are 9 mitigation actions that can minimize the emergence of risk agents in the supply chain process of MRO spare parts procurement.
Analysis of Factory Operational Scheme Using Decision Tree Method with C4.5 Algorithm Muzawwir, Hendra; Away, Yuwaldi; Irwansyah, Irwansyah
Enrichment: Journal of Multidisciplinary Research and Development Vol. 3 No. 4 (2025): Enrichment: Journal of Multidisciplinary Research and Development
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/enrichment.v3i4.420

Abstract

Optimizing the utilization of idle industrial assets is a crucial issue in asset-based management strategies, especially in the high-risk and capital-intensive petrochemical sector. PT Pupuk Iskandar Muda (PT PIM) as part of the development of the Arun Lhokseumawe Special Economic Zone (SEZ), is faced with the urgency to determine the most rational and value-added operational scheme in reactivating the ex-PT AAF Hydrogen Peroxide (H?O?) Factory. There are three alternative schemes analysed in this context: lease, operating cooperation (KSO) and self-management, each of which has different financial characteristics and risk profiles. The complexity of such decision-making requires a data-driven approach that is able to integrate economic and risk aspects holistically. This study aims to determine the most feasible operational scheme based on economic indicators such as Net Present Value (NPV), Internal Rate of Return (IRR) and Payback Period (PP), as well as two main risk dimensions, namely operational risk and market risk. This study also aims to build a decision tree-based decision-making model using the C4.5 algorithm to classify the feasibility of the scheme in a systematic and transparent manner. The research method uses a descriptive-analytical quantitative approach. The data used are secondary data from the project feasibility study and PT PIM's internal documents. Modeling was carried out by processing six main variables in categorical form to form a decision tree structure through the C4.5 algorithm. The process starts from calculating the entropy value, gain, to determining the root node and branch of the decision. The classification results show that market risk is the most decisive attribute in the decision-making process, followed by NPV as the main separating indicator between the "Feasible" and "Very Feasible" feasibility levels. The main findings of this study are that the self-management scheme is the most feasible option with the best financial performance: NPV of ±Rp 38.77 billion, IRR of 14.48%, and Payback Period of 5.58 years. The structure of the established decision tree is able to explicitly describe how the combination of risk and financial indicators can lead to different final decisions. This model serves not only as a classification tool, but also as an analytical instrument in understanding the relationships between variables and their implications for investment feasibility. This research makes a methodological contribution to the application of the C4.5 algorithm for data-driven strategic decision-making. This approach has been proven to improve accuracy, objectivity, and transparency in assessing the operational feasibility of industrial assets, and can be replicated for similar cases in other sectors.
Performance Comparison of Variational Mode Decomposition and Butterworth in Processing EEG Signals of Autism Patients Wardana, Surya; Melinda, Melinda; Ramdhana, Rizka; Yunidar, Yunidar; Away, Yuwaldi; Basir, Nurlida
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 7 No. 3 (2025): August
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v7i3.105

Abstract

Electroencephalography (EEG) is a non-invasive technique for monitoring and recording the brain's electrical activity with electrodes applied to the scalp. The method is important in neurological studies, like that of Autism Spectrum Disorder (ASD), because it measures patterns of brain waves that can identify developmental abnormalities. However, EEG signals are often contaminated by multiple noise sources, including eye movements, muscle activity, and extraneous interference. This interference can significantly reduce the quality and intelligibility of signals. Therefore, preprocessing is required to enhance the reliability and precision of the data obtained. In this study, a Butterworth Band-Pass Filter (BPF) was used during preprocessing to filter out undesirable frequency components and to mitigate noise. After filtering, EEG signals were handled using the Variational Mode Decomposition (VMD) technique. VMD is an adaptive method for decomposing multidimensional signals into intrinsic mode functions while preserving critical details of the original data. For performance comparison, four quantitative metrics were used: Mean Squared Error (MSE), Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and Signal-to-Noise Ratio (SNR). Results showed that VMD performed better than BPF alone. As an example, for Subject 1, VMD achieved an MAE of 0.26 and MSE of 0.42, which was far superior to the MAE of 13.72 and MSE of 674.96 of BPF. Subject 3 had the least RMSE (0.40) when using VMD, whereas BPF scored 25.90. VMD also reported a highest SNR of 28.56, compared to BPF's 2.43. Overall, integrating VMD with BPF significantly improves EEG signal quality and enables more accurate analysis, particularly in ASD-related studies.
Autism EEG Signal Pre-Processing: Performance Evaluation of MS-ICA and Butterworth Filter Mirza Rahmat, Muhammad; Nurdin, Yudha; Melinda, Melinda; Away, Yuwaldi; Irhamsyah, Muhammad; Wong, W. K
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 7 No. 3 (2025): August
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijeeemi.v7i3.107

Abstract

Autism Spectrum Disorder (ASD) is a neurological condition characterized by challenges in communication and social interaction, accompanied by the development of repetitive behavioral patterns. Electroencephalography (EEG) is primarily used to assess brain function in children with Autism Spectrum Disorder (ASD), mainly due to its non-invasive nature and superior temporal resolution compared to other neuroimaging methods. However, EEG signals are often contaminated by biological artifacts, such as eye movements and muscle contractions, which can significantly distort analysis outcomes. Pre-processing is therefore required to increase the accuracy of the EEG signal before additional analysis. The goal of this study was to compare and evaluate the performance of two pre-processing techniques, the Butterworth Band-Pass Filter and Multiscale Independent Component Analysis (MS-ICA), using four different performance metrics: Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and Signal-to-Noise Ratio (SNR). The Butterworth method has an MAE of 227.57, which is acceptable. However, it produced an MSE of 160,653.22, an RMSE of 394.49, and a maximum SNR of only 1.33 dB. MS-ICA performs far better with a best MAE of only 0.44, an MSE of 3.33, an RMSE of 1.76, and an SNR of 30.88 dB. Paired t-test (p < 0.05) was employed to determine statistical significance,  while Cohen's d was used to assess the practical significance of the results. The effect sizes of MAE (d = 1.60), MSE (d = 1.02), RMSE (d = 1.54), and SNR (d = -9.50) were all calculated as large. These findings demonstrate that MS-ICA offers both statistical advantages and strong practical usefulness for noise removal while preserving the structural integrity of the original EEG signals. Therefore, MS-ICA proves to be the best approach for pre-processing EEG signals to be used for analysis in children with ASD
Penerapan Sistem Identifikasi Ekspresi Wajah Anak Penyandang Autisme Berbasiskan Citra Termal pada Sekolah Berkebutuhan Khusus di Banda Aceh Melinda, Melinda; Yunidar, Yunidar; Irhamsyah, Muhammad; Mina Rizky, Muharratul; Leo, Hendrik; Fahmi, Fahmi; Dewi, Cut; Away, Yuwaldi; Misbahuddin, Misbahuddin
Jurnal Pengabdian Rekayasa dan Wirausaha Vol 2, No 1 (2025)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jprw.v2i1.45635

Abstract

This community service activity aims to apply technology to detect facial expressions of children with autism through thermal images. The activity was carried out at My Hope Special Need Center, Banda Aceh, an educational center for orphans and children with special needs. By utilizing a combination of psychological and technological approaches, data collection is carried out in the form of thermal images of the faces of children with and without autism. The data obtained was analyzed using the Convolutional Neural Network (CNN) approach to develop an automatic facial expression detection method. The results of this activity show the potential use of facial recognition technology in supporting education and therapy for children with special needs.
Pemanfaatan Alat Ukur Status Gizi Otomatis Berbasis Mikrokontroler di Posyandu Meulati Gampong Blang Krueng Kecamatan Baitussalam, Aceh Besar Yunidar, Yunidar; Arnia, Fitri; Melinda, Melinda; Away, Yuwaldi; Fathurrahman, Fathurrahman
Jurnal Pengabdian Rekayasa dan Wirausaha Vol 1, No 1 (2024)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jprw.v1i1.36528

Abstract

Posyandu merupakan salah satu program pemerintah Indonesia sebagai fasilitas layanan kesehatan masyarakat yang dikelola oleh masyarakat. Posyandu Balita dilaksanakan secara rutin untuk memantau perkembangan pertumbuhan pada balita dengan mengukur tinggi badan, berat badan dan lingkar kepala. Selama ini alat ukur yang digunakan oleh petugas kesehatan di posyandu merupakan alat ukur yang konvensional, dan penentuan status gizi anak masih dilakukan secara manual oleh petugas posyandu yang telah mahir mengkonversi nilai ukur yang diperoleh kedalam rumus skor-z. Hal ini tentu memakan waktu dan kurang efektif sehingga dari hasil penelitian mahasiswa prodi Teknik Elektro telah berhasil merancang alat ukur status gizi otomatis berbasis mikrokontroler dan telah diuji nilai presisi dan keakuratannya. Melalui program pengabdian kepada masyarakat kami akan mensosialisasikan alat ukur otomatis ini pada posyandu Meulati Gampong Blang Krueng, Kecamatan Baitussalam Kabupaten Aceh Besar. Tujuan dari kegiatan ini untuk meningkatkan mutu pelayanan posyandu sehingga dapat berjalan lebih efektif den efisien. Alat ukur ini terdiri dari modul status gizi berdasarkan nilai skor-z dilengakapi dengan LCD sebagai tampilan keluaran dan sensor ultrasonik yang berfungsi sebagai pengukur tinggi badan dan sensor load cell untuk mengukur berat badan. Hasil yang diperoleh dari kegiatan melalui survey kepuasan yang dibagikan ternyata semua orang tua dan wali balita setuju kegiatan pengabdian yang telah dilakukan sangat bermanfaat terutama bagi Masyarakat Blang Krueng.
Sosialisasi Peralatan Kelistrikan dan Pengambilan Keterangan untuk Mengungkapkan Sebuah Kasus di Kepolisian Resort Pidie Sebagai Ahli Elektro Siregar, Ramdhan Halid; Suriadi; Syukri, Mahdi; Syahrizal; Syukriyadin; Away, Yuwaldi; Alfisyahrin
Kawanad : Jurnal Pengabdian kepada Masyarakat Vol. 1 No. 2 (2022): October
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/kjpkm.v1i2.57

Abstract

Electricity is very useful for human life. However, if an error in use results in a danger to the safety of humans, livestock and property. Sometimes electricity is also used for special purposes for which there are no guidelines, this will be very risky to safety. As in the case that occurred recently in the Pidie Resort Police area, the Head of the Pidie Resort Police assigned his members for the benefit of the police service in the context of the task of carrying out an examination of electrical experts to obtain information regarding the discovery of a body in the mountain river of Gampong Lhok Broh, Meureudu District, District Pidie Jaya. The expected objectives of this activity are; So that participants can understand the benefits of electrical energy and the basic principles, operation, and maintenance of electrical equipment, Provide participants with knowledge (in general) about how to work and maintain electrical equipment that may be designed and used in a community environment, Demonstrate directly the dangers of some related electrical equipment cases currently being handled by the police. This activity was carried out from October 1 to November 30 2019 and consisted of 3 stages namely; Preparation, Execution, and Compilation of Reports. Based on inspections and field trials in two places, the following conclusions can be drawn; Electric current is dangerous for the human body depending on the amount of current and duration. The effect of electric current on humans starts with tingling/numbness to effect the heart which can cause death. Water is a conductor that can carry electric current properly. The safe voltage limit for humans is 50 Volt AC assuming the human body is 1000 Ohm resistant, the safe current limit for humans is 30 mA. The dedicated team also as electrical experts discusses scientific about matters related to electrical hazards and their effects on the human body.
Pemanfaatan Google Spreadsheet Untuk Akuisisi Data Online Bagi Guru SMK di Banda Aceh Dirhamsyah, Muhammad; Away, Yuwaldi; Muslimsyah; Jamil, M.; Putra, T. Edisah; Ibrahim, Masri; Novandri, Andri
Kawanad : Jurnal Pengabdian kepada Masyarakat Vol. 2 No. 1 (2023): March
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/kjpkm.v2i1.100

Abstract

Data acquisition is the process of collecting data or information from various sources, including sensors, software, hardware, or humans, for use in analysis or decision-making. The purpose of data acquisition is to collect data that is accurate, reliable, and useful for further analysis or decision-making. In introducing the concept of data acquisition, acquisition introduction training was conducted for the teaching staff. Data acquisition training covers the process of transferring data from sensors to Google Sheets. For teaching staff at SMK Negeri 2 Banda Aceh, the use of Google Spreadsheets is still too common. Therefore, the community service team successfully carried out training activities on Wednesday, April 13, 2022. The training included an introduction to the ESP8266 microcontroller, then continued with the introduction of Google Spreadsheets, taught how to assemble hardware in the form of DHT11 sensors and ESP8266 microcontrollers, and carried out the process sending data as well as storing data on Google Sheets. This activity has a positive impact on improving the ability of teaching staff and indirectly can be applied in teaching materials or applied in everyday life.
Inspeksi Teknis dan Pengoperasian Sistem Pendingin Semi Contact Freezer untuk Cold Storage di Lampulo Banda Aceh Suhaeri, Suhaeri; Bakhtiar, Dandi; Away, Yuwaldi; Lubis, Rakhmad Syaputra; Muslimsyah; Safwan
Kawanad : Jurnal Pengabdian kepada Masyarakat Vol. 4 No. 1 (2025): March
Publisher : Yayasan Kawanad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56347/kjpkm.v4i1.296

Abstract

This community service activity was conducted to perform a technical inspection and evaluate the operation of the semi-contact freezer cooling system in Lampulo, Banda Aceh, established to support the development of the local fisheries sector. The system utilizes Air Blast Freezer (ABF) technology, operating at temperatures ranging from 0°C to -40°C for fish preservation through cooling and freezing methods. The facility, valued at IDR 465,312,000, was constructed by the Banda Aceh City Food, Agriculture, Maritime Affairs, and Fisheries Service in collaboration with CV. Juang Karya during the period of July to October 2022. Commissioning tests were conducted to verify compliance with the technical specifications outlined in the work contract. Inspection results confirmed that the system operated in accordance with specifications, with products packaged using LDPE plastic and cardboard. The operation of this system is expected to reduce losses due to fish spoilage and enhance food security for the Banda Aceh community. 
Kombinasi Metode Nilai Ambang Lokal dan Global untuk Restorasi Dokumen Jawi Kuno Saddami, Khairun; Arnia, Fitri; Away, Yuwaldi; Munadi, Khairul
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 7 No 1: Februari 2020
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2020701741

Abstract

Dokumen Jawi kuno merupakan warisan budaya yang berisi informasi penting tentang peradaban masa lalu yang dapat dijadikan pedoman untuk masa sekarang ini. Dokumen Jawi kuno telah mengalami penurunan kualitas yang disebabkan oleh beberapa faktor seperti kualitas kertas atau karena proses penyimpanan. Penurunan kualitas ini menyebabkan informasi yang terdapat pada dokumen tersebut menghilang dan sulit untuk diakses. Artikel ini mengusulkan metode binerisasi untuk membangkitkan kembali informasi yang terdapat pada dokumen Jawi kuno. Metode usulan merupakan kombinasi antara metode binerisasi berbasis nilai ambang lokal dan global. Metode usulan diuji terhadap dokumen Jawi kuno dan dokumen uji standar yang dikenal dengan nama Handwritten Document Image Binarization Contest (HDIBCO) 2016. Citra hasil binerisasi dievaluasi menggunakan metode: F-measure, pseudo F-measure, peak signal-to-noise ratio, distance reciprocal distortion, dan misclasification penalty metric. Secara rata-rata, nilai evaluasi F-measure dari metode usulan mencapai 88,18 dan 89,04 masing-masing untuk dataset Jawi dan HDIBCO-2016. Hasil ini lebih baik dari metode pembanding yang menunjukkan bahwa metode usulan berhasil meningkatkan kinerja metode binerisasi untuk dataset Jawi dan HDIBCO-2016. AbstractAncient Jawi document is a cultural heritage, which contains knowledge of past civilization for developing a better future. Ancient Jawi document suffers from severe degradation due to some factors such as paper quality or poor retention process. The degradation reduces information on the document and thus the information is difficult to access. This paper proposed a binarization method for restoring the information from degraded ancient Jawi document. The proposed method combined a local and global thresholding method for extracting the text from the background. The experiment was conducted on ancient Jawi document and Handwritten Document Image Binarization Contest (HDIBCO) 2016 datasets. The result was evaluated using F-measure, pseudo F-measure, peak signal-to-noise ratio, distance reciprocal distortion, dan misclassification penalty metric. The average result showed that the proposed method achieved 88.18 and 89.04 of F-measure, for Jawi and HDIBCO-2016, respectively. The proposed method resulted in better performance compared with several benchmarking methods. It can be concluded that the proposed method succeeded to enhance binarization performance.
Co-Authors . Zulfan Ahmadiar, Ahmadiar Alfisyahrin ANISAH Ariandi, Teuku Azizah, Nadiatul Bahri, Al Bakhtiar, Dandi Basir, Nurlida Chairullah, Chairullah Cut Dewi, Cut Dirhamsyah, Dirhamsyah Dirhamsyah, Muhammad Fahmi Fahmi 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. Kahlil, Kahlil Khadafi, M Khairul Munadi Leo, Hendrik lestari, mulia Lubis, Rakhmad Syaputra Lulusi Lulusi M. Dirhamsyah Mahdi Syukri Mahmuddin Mahmuddin Mailizar Masri Ibrahim Maulana, Edi Melinda Melinda Mina Rizky, Muharratul Mirza Rahmat, Muhammad Misbahuddin Misbahuddin 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 Rudiansyah Putra Saddami, Khairun Safrizal Safrizal Safwan Saifuddin Muhammad Jalil Sofyan, Sarwo Edhy Suhaeri Suhaeri, Suhaeri Suriadi Syahriza, Syahriza Syahrizal Syifaul Huzni Syukriyadin Tamlicha, Akram Udink Aulia Wardana, Surya Wong, W. K Yudha Nurdin Yunidar Yusria Darma Zichri, Zichri