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Analisis Perbedaan Kekuatan Struktur Kolom Akibat Tsunami pada Gedung Laboratoriom Dinas PUPR Kota Banda Aceh Mhd. Arief Diana; Michel Kasaf; Taufik, Taufik; Anwar, Khairul; Pitri, Deni Trianda
INSOLOGI: Jurnal Sains dan Teknologi Vol. 4 No. 3 (2025): Juni 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/insologi.v4i3.5510

Abstract

The earthquake and subsequent tsunami that struck Banda Aceh at the end of 2004 caused extensive damage to various infrastructures, including the Laboratory Building of the Public Works Department of Banda Aceh City. This study aims to evaluate the variation in concrete strength between columns that were submerged during the tsunami and those that remained unaffected. A non-destructive testing (NDT) method was employed, using a Concrete Hammer Test device to assess the condition of the concrete. The testing was conducted on first-floor columns, with each column section tested 12 times at intervals of 3 cm between points. The results indicate a significant reduction in compressive strength, with the most severe decline observed in column K.6.4, where a 57% strength loss was recorded due to porous concrete conditions. The smallest reduction was found in columns K.1.9 and K.6.5, both showing a 5% decrease, while column K.1.7 exhibited no detectable deterioration. Overall, the majority of columns experienced notable degradation in structural integrity, underscoring the necessity for further comprehensive evaluations to determine the building’s continued feasibility and safety for use.
Studi Dampak Penambahan Abu Cangkang Kemiri terhadap Kekuatan Aspal Penganti Filler pada Kekerasan AC- WC Taufik, Taufik; TM Rezaka Alfitra; Jiwa Malem Marsya; Jetno Harja; Michel Kasaf
INSOLOGI: Jurnal Sains dan Teknologi Vol. 4 No. 4 (2025): Agustus 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/insologi.v4i4.6256

Abstract

Southeast Aceh Regency is one of the hazelnut-producing areas that produces large amounts of shell waste. This study aims to utilize hazelnut shell ash as a replacement filler in the Asphalt Concrete – Wearing Course (AC-WC) mixture with variations in 2%, 3%, and 4% levels, as well as an optimal asphalt content of 6.4%. The test was carried out using the Marshall Test method referring to the 2018 General Specification of Bina Marga to assess the parameters of stability, flow, Void in Mix (VIM), Void in Mineral Aggregate (VMA), Void Filled with Bitumen (VFB), and Marshall Quotient (MQ). The results of the study showed that all parameters met the specification limits of Bina Marga 2018. The stability value increased with the addition of filler content, from 1464.00 kg (2%) to 1749.67 kg (4%). The flow value is in the range of 2–4 mm, VIM is in the range of 3–5%, VMA is above 14%, and VFB is above 65%. Although the MQ value decreases with increasing filler levels, all values remain above the minimum standard. In conclusion, hazelnut shell ash is effectively used as an alternative filler that is able to improve the technical performance of the AC-WC mixture while providing environmental benefits through the use of organic waste
MYCD: Integration of YOLO-CNN and DenseNet for Real-Time Road Damage Detection Based on Field Images Yenni, Helda; Muzawi, Rometdo; Karpen, Karpen; Anam, M. Khairul; Kasaf, Michel; Hadi, Tjut Rizqi Maysyarah; Wahyuni, Dewi Sari
Journal of Applied Data Sciences Vol 7, No 1: January 2026
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v7i1.1040

Abstract

Road damage such as cracks, potholes, and uneven surfaces poses serious risks to transportation safety, logistics efficiency, and maintenance budgeting in Indonesia. Manual inspection is time consuming, labor intensive, and prone to error, motivating the use of reliable computer vision solutions. This study proposes MYCD, a hybrid and mobile ready architecture that combines the fast detection ability of YOLO with the dense feature reuse of DenseNet, enhanced by the Convolutional Block Attention Module (CBAM) for spatial and channel focus and Spatial Pyramid Pooling (SPP) for multi scale context understanding. The system detects and classifies the severity of road damage into minor, moderate, and severe categories using images captured by standard cameras. MYCD was trained and validated on 1,120 field images using an 80/20 split to simulate realistic deployment. Validation achieved 64 percent accuracy, with the highest per class precision of 0.72 for minor damage and mAP@0.5 = 0.677. The confusion matrix showed that most errors occurred in the moderate category because of visual similarity with minor and severe damage. Unlike earlier studies that extended YOLO with heavy backbones such as ResNet or EfficientNet, MYCD focuses on feature propagation (DenseNet), attention precision (CBAM), and multi scale fusion (SPP) optimized for real time operation on standard hardware. Efficiency profiling confirmed its deployability. After compression, the model size is 46.8 MB and it requires 3.7 GFLOPs per inference at 640×640 resolution. On a mid-range Android device (Snapdragon 778G, 8 GB RAM), MYCD runs at 19 frames per second with 1.2 GB peak memory. Compared with YOLOv8 WD (68 MB; 5.2 GFLOPs), MYCD reduces computation by 31 percent while maintaining similar accuracy. Overall, MYCD achieves a practical balance of speed, accuracy, and efficiency, providing a deployable and reproducible framework for real time road damage detection in resource limited settings.
PENGUATAN KUALITAS INFRASTRUKTUR PENDIDIKAN MELALUI PENDAMPINGAN PROGRAM REVITALISASI SMA DI PROVINSI ACEH Kasaf, Michel; Alfisyahrin; Diana, Mhd. Arief; Rizqi Maysyarah Hadi, Tjut; Bravikawati, Marini
Jurnal Masyarakat Berdikari dan Berkarya (Mardika) Vol 3 No 3 (2025): Jurnal Masyarakat Berdikari dan Berkarya (MARDIKA)
Publisher : Fakultas Teknik, Universitas Samudra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55377/mardika.v3i3.13822

Abstract

The Senior High School (SMA) Revitalization Program is a strategic government initiative aimed at improving the quality of educational infrastructure to support a safe, comfortable, and sustainable learning environment. However, its implementation still encounters various technical and managerial challenges, particularly during the planning, execution, and control stages of the work. This community service activity aims to strengthen the quality of educational infrastructure through assistance in the SMA Revitalization Program in Aceh Province. The assistance was carried out by a university team using a self-managed approach, providing technical assistance, field supervision, and administrative support to schools and relevant stakeholders. The implementation methods included identification of existing conditions, assistance in technical planning, monitoring of construction implementation, and evaluation of work outcomes. The results indicate that the assistance improved the technical understanding of school-level implementers, enhanced the quality of construction work, and minimized potential implementation errors. Therefore, this activity contributes positively to the successful implementation of the SMA Revitalization Program and to the improvement of educational infrastructure quality in Aceh Province.