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All Journal AUSTENIT Jurnal Tarbiyah Jamiat Kheir
Sholahudin
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Religion Automotive Engineering Control & Systems Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Other

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Prediksi beban pendinginan menggunakan Machine Learning dan parameter data cuaca Sholahudin; Firdaus, Nazwan Hafiz; Bhowmik, Mrinal
AUSTENIT Vol. 17 No. 2 (2025): AUSTENIT: Oktober 2025
Publisher : Politeknik Negeri Sriwijaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/austenit.v17i2.11332

Abstract

Cooling systems account for a substantial amount of end-use energy consumption in building sector. This system is responsible for removing the heat from the building to maintain the indoor temperature at a certain comfort level standard. Prediction of cooling load in a building is useful to design the HVAC system operation and energy management efficiently. This paper presents a method for predicting instantaneous building cooling load, relying on the inputs extracted from weather data and artificial neural networks. The data sets are generated by simulating cooling load at an educational building located in Indonesia for one year using Energy Plus software. The input parameters include dry-bulb temperature, relative humidity, wind speed, wind direction, horizontal infrared radiation rate, diffuse solar radiation rate, and direct solar radiation rate. Analysis of variance and Pearson coefficient of correlation was applied to analyze the relative contribution of individual input parameters on the cooling load. Both methods have consistently shown that the dry bulb temperature is the most influential parameters, while wind speed and wind direction have less significant effect on cooling loads. The result of this study indicates that the optimized ANN model with selected input parameters has successfully predicted the cooling load with coefficient of variation (CV) of 15.26%.
PERAN GURU PENDIDIKAN AGAMA ISLAM DALAM MENINGKATKAN MOTIVASI BELAJAR BAHASA ARAB DI SEKOLAH MENENGAH DI SMA AL CHASANAH JAKARTA BARAT Muhtadin; sholahudin
Jurnal Tarbiyah Jamiat Kheir Vol 3 No 1 (2025): Jurnal Tarbiyah Jamiat Kheir
Publisher : LP2M JAMIAT KHEIR

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62026/j.v3i1.117

Abstract

This study aims to explore the role of Islamic Education (PAI) teachers in increasing students' motivation to learn Arabic at SMA Al Chasanah, West Jakarta. The research is based on the low student interest in Arabic, often due to perceptions of the subject being difficult and less relevant, and the lack of engaging teaching approaches. This is a qualitative study using a descriptive narrative method. Data were collected through interviews, observations, and documentation involving PAI teachers and students. Findings reveal that PAI teachers play a significant role as motivators and facilitators. They not only deliver content but also instill religious values and a love for the Arabic language through spiritual and contextual approaches. Strategies include integrating Arabic into religious activities, using engaging media, and providing exemplary behavior. The study concludes that PAI teachers have a strategic role in fostering a religious and supportive learning environment, which effectively boosts students’ motivation to study Arabic.
Co-Authors Bhowmik, Mrinal Firdaus, Nazwan Hafiz Muhtadin