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All Journal KONSELI: Jurnal Bimbingan dan Konseling (E-Journal) Gravitasi Rihlah Jurnal Sejarah dan Kebudayaan JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Pendas : Jurnah Ilmiah Pendidikan Dasar Jurnal Inotera Jurnal Pendidikan Matematika (JUDIKA EDUCATION) Jurnal Agritechno Menara: Jurnal Teknik Sipil Jurnal Syntax Transformation Jurnal Ilmiah JKA (Jurnal Kesehatan Aeromedika) Dimensi Matematika : Jurnal Pendidikan dan Pembelajaran Matematika Al-Mutsla: Jurnal Ilmu-Ilmu Keislaman dan Kemasyarakatan AbdiTechno (Jurnal Pengabdian Masyarakat) Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (JISTI) Jurnal Pengabdian Inovasi dan Teknologi Kepada Masyarakat MEUSEURAYA : JURNAL PENGABDIAN MASYARAKAT Jurnal Pengabdian Bangsa Journal of Planning and Research in Civil Engineering Jurnal Pengabdian Masyarakat Kesehatan Indonesia ETERNITAS Jurnal Malikussaleh Mengabdi Jurnal Economic Edu Beujroh : Jurnal Pemberdayaan dan Pengabdian pada Masyarakat The Indonesian Journal of Computer Science Jurnal Ilmiah Manajemen dan Kewirausahaan Jurnal Teknologi Informasi untuk Masyarakat (Jurnal Teknokrat) JIS: Journal ISLAMIC STUDIES Metalik: Jurnal Manufaktur, Energi, Material Teknik Jurnal Ilmiah Teknik Sipil (JIMATS) Salaga Journal Journal Tafkirul Iqtishodiyyah Indonesian Community Development and Social Investment Journal
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Performance Identification of Eutectic Fatty Acid-PLA Based Phase Change Material Board Installed in a Mini-Cubicle System Aidy, Nurhanifa; Lindawati; Iqbal; Mahyuddin; Muhtadin; Muhammad Faisal; Yusrizal
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.ID659

Abstract

Thermal comfort regulation in buildings located in hot climates, such as Indonesia, remains highly dependent on air conditioning (AC) systems, leading to substantial energy consumption. Integrating Phase Change Materials (PCM) into building envelopes offers a passive thermal management strategy to reduce cooling loads. This study investigates the thermal performance of a gypsum-based wall incorporating a eutectic fatty acid PCM (laurate–stearate) of 85:15 (wt%) modified with polylactic acid (PLA) at three PCM:PLA ratios (1:0.6, 1:0.8, and 1:1), alongside a control sample without PCM. Samples were fabricated at laboratory scale and evaluated using a mini-cubicle system under controlled charging and discharging conditions. Energy performance was assessed through temperature change rates and heat transfer (q) analysis at three measurement points (T1, T2, T3). Results demonstrate that PLA modification significantly enhances PCM performance, with the 1:0.8 ratio (bPCM) exhibiting optimal behavior. During charging, bPCM achieved the lowest temperature change rates of 4.75 °C/h at T1, 1.15 °C/h at T2, and 0.65 °C/h at T3 and the minimum heat transfer from T2 to T3 of 32.049 J. Similarly, during discharging, bPCM maintained the smallest temperature change rates of 2.2 °C/h at T1, 1.0 °C/h at T2, and 0.65 °C/h at T3 with the lowest heat transfer to the indoor zone of 32.033 J. These findings confirm that optimized PLA-modified eutectic PCM significantly improves heat absorption, latent heat storage, and thermal insulation performance compared to non-PCM and non-optimized compositions. The proposed composite wall system demonstrates strong potential for passive cooling enhancement and building energy efficiency improvement in hot-climate regions
Prediksi Suhu Udara dengan Algoritma Artificial Neural Network di Jawa Timur Karnisih, Karnisih; Sunarno, Sunarno; Iqbal
Jurnal Pendidikan Matematika : Judika Education Vol. 9 No. 1 (2026): Jurnal Pendidikan Matematika: Judika Education
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/s5kx4a49

Abstract

This study aims to systematically optimize the hyperparameters of an Artificial Neural Network (ANN) using an algorithm-based approach to obtain the best configuration, as well as to compare the air temperature prediction accuracy of ANN with other machine learning algorithms. Feature selection was performed using a physical approach to identify variables that significantly influence air temperature, while ANN hyperparameter optimization was conducted using the Random Search method. The ANN model was compared with Linear Regression (LR), Random Forest (RF), and Support Vector Regression (SVR) in predicting air temperature. Model performance was evaluated 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 results indicate that the ANN model generally achieved lower MSE, RMSE, MAE, and MAPE values and higher R² values compared to the other methods across four study locations: Banyuwangi, Juanda, Sangkapura, and Pasuruan. These findings demonstrate that ANN with properly optimized hyperparameters can provide more accurate air temperature predictions..   Keywords: Artificial Neural Network, East Java, Machine Learning, Air Temperature
Implementasi TinyML dengan Edge AI untuk Deteksi Anomali Sensor IoT pada Kondisi Lingkungan Tropis Iqbal; Hasriadi
Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (JISTI) Vol 9 No 1 (2026): Jurnal Ilmiah Sistem Informasi dan Teknik Informatika (JISTI)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Lamappapoleonro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57093/jisti.v9i1.402

Abstract

This study aims to implement TinyML based on Edge AI for anomaly detection on resource-constrained IoT devices in tropical environments in Indonesia. Tropical environments with high temperatures and extreme humidity often cause sensor data drift and other anomalies, disrupting the reliability of monitoring systems. This research was conducted through simulation without physical hardware to overcome cost and infrastructure limitations. The methods include collecting time-series datasets from open sources, augmenting tropical noise using Gaussian filter, training anomaly detection models (K-means and Autoencoder) on the Edge Impulse platform, INT8 quantization, and inference simulation using TensorFlow Lite Runtime in Python. Evaluation was performed on accuracy, inference latency, model size, and model robustness against tropical conditions. Simulation results show that the TinyML model achieved 89.4% anomaly detection accuracy, model size of 142 KB, and average inference latency of 28 ms. The model also demonstrated good resilience to tropical noise with only a 6.2% decrease in accuracy. The study concludes that TinyML based on Edge AI has high potential for implementation on low-power IoT devices in tropical environments. This research is expected to serve as a reference for developing intelligent monitoring systems in tropical regions of Indonesia, such as South Sulawesi.
Analisis Produktivitas Alat Berat Pada Pekerjaan Pengaspalan Jalan Matang Seping - Pelita Kabupaten Aceh Tamiang Agusti, Eddy; Rajib Muammar; Iqbal
Jurnal Perencanaan dan Penelitian Teknik Sipil Vol 4 No 2 (2025): Juli
Publisher : Universitas Iskandar Muda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55616/prince.v4i2.1008

Abstract

Road infrastructure plays a vital role in supporting economic growth and facilitating community mobility. Matang Seping Village in Aceh Tamiang Regency suffers from severely damaged roads, hindering the distribution of agricultural and fishery products. To address this issue, a road paving project on the Matang Seping–Pelita route was carried out, requiring careful planning and efficient use of heavy equipment. This study aims to analyze the utilization and productivity of heavy equipment used in the road paving project. The analysis focuses on identifying the types of heavy equipment employed, calculating productivity based on the 2023 guidelines from the Ministry of Public Works and Public Housing (PUPR), and determining the number and operational duration of each equipment unit. The equipment used for the prime coat work includes a compressor and asphalt sprayer, while the base course layer (Asphalt Concrete-Base Course) uses a dump truck, asphalt finisher, tandem roller, and pneumatic tire roller. The results show varied productivity levels, with the asphalt sprayer reaching 13,695 liters/hour and the asphalt finisher 134.46 tons/hour. All equipment was operated over two days, with quantities adjusted to project needs, including 12 dump trucks to ensure the smooth implementation of fieldwork.
Analisis Kerusakan Lapis Permukaan Jalan dengan Metode Pavement Condition Index (PCI) pada Jalan Prof. Syarief Thayeb Kota Langsa Saputra, Joeny; Rajib Muammar; Iqbal
Jurnal Perencanaan dan Penelitian Teknik Sipil Vol 5 No 1 (2026): Maret
Publisher : Universitas Iskandar Muda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55616/prince.v5i1.1111

Abstract

Road infrastructure is a vital land transportation facility that plays an important role in supporting economic growth and socio-cultural development. Prof. Syarief Thayeb Road experiences heavy traffic conditions and is frequently passed by overloaded vehicles, such as student buses and trucks transporting palm oil, which contribute to pavement deterioration. This study aimed to analyze the types of pavement distress on the road surface, determine the level of road damage using the Pavement Condition Index (PCI) method, and identify appropriate maintenance actions and solutions for the Prof. Syarief Thayeb Road section based on its damage condition. In the PCI method, pavement distress severity is evaluated based on three main factors, namely distress type, severity level, and distress density. The PCI provides a numerical index ranging from 0 to 100, where 0 indicates failed pavement condition and 100 indicates excellent pavement condition. The pavement condition assessment was conducted through field surveys to identify and record surface distress. The types of damage identified along the 2 km section of Prof. Syarief Thayeb Road included alligator cracking, patching, potholes, and rutting. The analysis results showed that the PCI value for the observed road section was 81.15, which falls into the very good category, indicating that only routine maintenance is required for roads with PCI values between 41 and 81. Recommended repair methods for alligator cracking include partial-depth or full-depth patching, surface layer improvement, and overlay application. Pothole repairs involve partial-depth and full-depth patching, while rutting repairs include shallow partial patching, full-depth patching, and surface layer improvement followed by an additional overlay.
Analisis Produktivitas Dan Biaya Alat Berat Pada Penanganan Long Segment Jalan Sapta Marga Kampung Besar Kecamatan Banda Mulia mahyuddin; Rajib Muammar; Iqbal
Jurnal Perencanaan dan Penelitian Teknik Sipil Vol 5 No 1 (2026): Maret
Publisher : Universitas Iskandar Muda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55616/prince.v5i1.1112

Abstract

Heavy equipment plays an important role in accelerating construction processes and reducing operational costs. Equipment such as dump trucks, motor graders, vibrator compactor rollers, and water tank trucks significantly influence project completion time. However, initial planning often does not match field conditions, resulting in increased costs and delays. Therefore, an analysis of heavy equipment productivity is necessary to ensure efficient utilization and cost optimization. This study aims to analyze the productivity, implementation time, and cost of heavy equipment in the Long Segment Handling Project for routine maintenance, periodic maintenance, and road reconstruction on Jalan Saptamarga – Kampung Besar, Banda Mulia District, specifically for subbase (LPB) and base (LPA) layers over a 1,000-meter section. The analysis of productivity and equipment costs was conducted using the Bina Marga 2023 method. The results show that the productivity of dump trucks is 30.42 m³/day, motor graders reach 975.20 m³/hour for LPB and 989.00 m³/hour for LPA, vibrator compactor rollers achieve 928.20 m³/day for LPB and 702.84 m³/day for LPA, while water tank trucks reach 450.00 m³/day. The LPB work requires 3 working days using 14 dump trucks and one unit each of motor grader, compactor roller, and water tank truck. Meanwhile, LPA work is completed in 2 days using 12 dump trucks and one unit of each supporting equipment. The rental costs per day are Rp 2,356,235.39 for dump trucks, Rp 3,467,735.73 for motor graders, Rp 2,846,290.20 for vibrator compactor rollers, and Rp 2,367,435.18 for water tank trucks. The total equipment rental cost is Rp 125,006,269.65 for LPB and Rp 73,912,571.55 for LPA, resulting in an overall cost of Rp 198,918,841.20.
Evaluasi Kinerja dan Tingkat Pelayanan pada Simpang Gampong Beusa Kabupaten Aceh Timur muhammad aziz; Iqbal; Putri Balqis
Jurnal Perencanaan dan Penelitian Teknik Sipil Vol 5 No 1 (2026): Maret
Publisher : Universitas Iskandar Muda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55616/prince.v5i1.1159

Abstract

Regional development and increasing economic activities in East Aceh Regency have led to a rise in traffic volume, particularly at major intersections that connect sub-districts and regencies, such as the Gampong Beusa Intersection in Peureulak Barat District. This intersection is an unsignalized three-leg intersection that connects the Medan–Banda Aceh national road with access to Serbajadi District (Lokop). The increase in vehicle volume, especially heavy vehicles related to petroleum industry activities, has caused traffic delays and potential traffic conflicts at the intersection.This study aims to analyze the traffic performance of the Gampong Beusa Intersection and determine its Level of Service (LOS). The analysis method used refers to the Indonesian Highway Capacity Manual (MKJI) 1997 for unsignalized intersections. Primary data were obtained through traffic volume surveys and geometric measurements of the intersection conducted over three days, namely Monday, Thursday, and Saturday during the morning, midday, and evening peak hours. Secondary data in the form of population statistics were obtained from the Central Bureau of Statistics of East Aceh Regency.The analysis results show that the actual intersection capacity, after considering adjustment factors, ranges from 1,782 to 1,825 pcu/hour. The Degree of Saturation (DS) for each approach ranges from 0.57 to 0.69, with an average value of 0.64, indicating that the traffic condition is still below the saturation level. The average vehicle delay ranges from 24 to 27 seconds per vehicle. Based on the delay value, the intersection Level of Service is categorized as LOS D. This condition indicates that the intersection can still operate, but traffic flow has begun to become unstable during peak hours, thus requiring efforts to improve intersection performance in the future.
Co-Authors Achmad Rusdi Agusti, Eddy Al-falathi, Siti Aminah Almira, Jihan Aman, Ahmad Asrul Saputra Badaruddin Barokah, Muhammad Desembardi, Faried Desember, Faried Djuniadi Djuniadi Fadhil Surur FAHRIZAL Farida, Anif Fariyani Fariyani, Fariyani Farizawati Fauziansyah Febriyani, Tika G. Gunawan Galuh Indra Hasniatisari Hasriadi Haurissa, Prita Husnul Mubarak IAN YULIANTI Imam Alfaruq Intan Zuhra Irwan T Ismayani, Susi jabul reski, fadhil Jummaidi Saputra Junaedi Muhidong Kahar Kahar, Kahar kamaludin, ade Karnisih, Karnisih Laurencia Vivin Monica LINDAWATI M.Syekh Ikhsan Syaipudin Mahjoedin, Yovial Mahmud Achmad Mahyuddin Maizan, Rafdia Marthiana, Wenny Maulidiyah, Rafiqah Mauliza, Suci Meutia, Cut Dara Muh Fajar Hardiansyah Muhammad Aziz Muhammad Faisal Muhammad Iqbal Muhammad Rusmin Muhammad Tahir Sapsal Muhammad Wasil Muhammad Yusuf, Tahir Muhtadin Mukrimin Murliana Mursalim Nasution, Anhar Nida Nuraini Nurdiana Nurfadillah Nurhanifa Nurhanifa Nurjannah Prabowo, Arga Satrio Prayoga, Dodo Solyus Pristianto, Hendrik Purwanto, A Didik Setya Putri Balqis Rahmi, Hayatun Rajib Muammar Ridha Izzulhaq, Muhammad Rina Purnama Sari Rini, Retno Puspa Riyadhul Fajri Rokhman Salamah Salengke, Salengke Salsabila, Nadia Saputra, Joeny Saputri, Yuni Sazili Selpiah Suhartini Sukowati, Dwi Guntoro Sunarno SUNARNO Syafriadi Tasari, Sutriani Teuku Rihayat Upik Nurbaiti Valens Wardani, Vera Warsono Widya, Mitha Wiratmadinata Yetri Hasan Yusrizal Zainal Abidin Zainul Amri Zufiyardi Zulkifli