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All Journal Journal of Student Research Jurnal Ragam Pengabdian
Faris Humami
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Humanities Computer Science & IT Economics, Econometrics & Finance Education Environmental Science Public Health Social Sciences Other

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Pendekatan Machine Learning untuk Analisis dan Visualisasi Data Jembatan Timbang Siti Shofiah; Faris Humami; M. Iman Nur Hakim; Azimatun Lissyifa; Agus Siswono
Journal of Student Research Vol. 2 No. 1 (2024): Januari: Journal of Student Research
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jsr.v2i1.2666

Abstract

In this research, a machine learning approach, especially a decision tree model, is implemented to improve the analysis and visualization of weighbridge data in Indonesia. The evaluation results show that the decision tree model provides better insight in predicting the carrying capacity, dimensions and loading procedures of vehicles. The advantage of this model lies in its combination of low Mean Squared Error (MSE) and high R-squared, indicating its effectiveness in capturing data variance and providing accurate predictions. The use of decision tree models can be a valuable tool in improving the visualization of bridge weighing data, allowing users to gain additional insights and understand the complex dynamics within the data. In addition, the model's adaptability to various types of data makes it a versatile analysis tool. The positive implications of using this model open up opportunities to understand more deeply the logic of predictions and make more informed decisions. As a suggestion, increasing the number and quality of weighing equipment, wider application of information and communication technology, human resource training, and cross-sector collaboration can further strengthen weighbridge management in Indonesia.
Analisis Efektivitas Thermal Insulation Aluminium Foil terhadap Penurunan Temperatur Kabin Mitsubishi L300 Ammar Dani Prasetyo Aji; Arief Novianto; Dwi Wahyu Hidayat; Faris Humami; Ery Muthoriq
Jurnal Ragam Pengabdian Vol. 3 No. 2 (2026): Mei-Agustus, Sustainable Development Goals (SDGs): Multidisciplinary Perspectiv
Publisher : Lembaga Teewan Journal Solutions

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62710/kgx8fp46

Abstract

Peningkatan temperatur pada kabin kendaraan Mitsubishi L300 sering menyebabkan penurunan kenyamanan termal pengemudi, terutama akibat posisi mesin yang berada di bawah kabin kendaraan. Penelitian ini bertujuan untuk menganalisis efektivitas penggunaan aluminium glass mat dan bubble aluminium foil sebagai material thermal insulation dalam menurunkan temperatur dan kelembaban kabin Mitsubishi L300 Euro 2. Penelitian menggunakan metode eksperimen dengan pengukuran suhu dan kelembaban pada ruang kabin, area kursi, dan ruang mesin kendaraan menggunakan Data Logger Elitech RC-4HC, thermometer infrared, dan mini digital thermometer. Pengujian dilakukan pada kondisi siang dan malam hari dengan variasi ketebalan material 4 mm, 6 mm, dan 8 mm serta dua konfigurasi pemasangan, yaitu pemasangan parsial pada area mesin dan pemasangan penuh pada seluruh permukaan kap mesin. Setiap variasi pengujian dilakukan sebanyak tiga kali untuk meningkatkan validitas data penelitian. Hasil penelitian menunjukkan bahwa penggunaan aluminium foil mampu menurunkan temperatur pada ruang mesin, area kursi, dan kabin kendaraan. Konfigurasi pemasangan penuh memberikan efektivitas penurunan suhu yang lebih baik dibandingkan pemasangan parsial. Variasi bubble aluminium foil ketebalan 8 mm menghasilkan performa terbaik dengan efisiensi penurunan suhu ruang mesin sebesar 21,9%, sehingga dinilai efektif dalam meningkatkan kenyamanan termal kabin kendaraan.
Co-Authors Agus Siswono Ammar Dani Prasetyo Aji Azimatun Lissyifa Dwi Wahyu Hidayat Ery Muthoriq M. Iman Nur Hakim Novianto, Arief Siti Shofiah