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All Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING International Journal of Research in Vocational Studies (IJRVOCAS) Leges Privatae
Muhammad Insan Kamil, Muhammad Insan
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Aerospace Engineering Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

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Design and Implementation of Solar Energy in ATG, CCDS and Pantry Maintenance Monitoring Systems Kamil, Muhammad Insan; Arifin, Fatahul; Dewi, Tresna
International Journal of Research in Vocational Studies (IJRVOCAS) Vol. 4 No. 3 (2024): IJRVOCAS - December
Publisher : Yayasan Ghalih Pelopor Pendidikan (Ghalih Foundation)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/ijrvocas.v4i3.295

Abstract

This study aims to design, implement, analyze and evaluate the PV system used in the ATG, CCDS and Maintenance Pantry Monitoring Systems. This study was conducted at PT. Pertamina Patra Niaga, with data collection carried out from June 2024. As for the experimental design carried out to determine the reliability of the equipment made which will be used for ATG motoring, CCDS and Pantry Maintenance, this was carried out to reduce the consumption of fossil energy which has been used through Electricity from PLN. The research results show that the use of the PV system can work optimally, this can be seen from the results of observations, especially at its peak, namely on June 29 2024, namely 2106 watts with a maximum voltage of 84.2V and with the installation of MPPT to ensure there is no overcharging and regulate the input voltage at 29.2V. V to batteries, efficient and effective in replacing previously used conventional energy.
Implementation of the Naive Bayes Classifier Algorithm for Classifying Toddler Nutritional Status Kamil, Muhammad Insan; Wibowo, Adityo Permana
Journal of Applied Informatics and Computing Vol. 8 No. 2 (2024): December 2024
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v8i2.8669

Abstract

This research addresses the pressing issue of malnutrition among toddlers in Indonesia, aiming to classify their nutritional status using the Naive Bayes Classifier (NBC). The study utilizes a dataset comprising 958 records from Puskesmas Cilandak and categorizes nutritional status into six class labels: good nutrition, at risk of excess nutrition, excess nutrition, obesity, undernutrition, and severe malnutrition. The methodology includes data preprocessing techniques such as class weighting to tackle class imbalance and Principal Component Analysis (PCA) for effective feature extraction. The model's performance is evaluated using metrics such as accuracy, precision, recall, and F1 score, achieving an impressive accuracy of 85.76% when class weighting is applied, which significantly enhances the recall and F1 scores for minority classes. The findings highlight the critical importance of robust preprocessing and evaluation metrics in improving machine learning models for public health applications. Furthermore, they suggest that further exploration of alternative algorithms and dataset expansion could yield more comprehensive insights into the classification of toddler nutritional status.
Restructuring Indonesia’s Directorate General of Intellectual Property Into an Autonomous Agency to Strengthen Valuation Function and Economic Utilization of Intellectual Property in Indonesia Kamil, Muhammad Insan
Leges Privatae Vol. 2 No. 1 (2025): JUNE-JOY
Publisher : PT. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/rras5s13

Abstract

This research examines the urgency of restructuring the Directorate General of Intellectual Property (DGIP) into an autonomous body to strengthen the valuation functions and optimize the economic utilization of intellectual property in Indonesia. Intellectual Property (IP) plays a strategic role in driving innovation and knowledge-based economic growth. However, IP governance in Indonesia continues to face challenges, including weak institutional capacity, low commercialization rates of innovation outputs, and an inefficient valuation system. The Directorate General of Intellectual Property (DGIP), as the national authority responsible for IP protection and administration, currently lacks an adequate institutional structure to address these challenges optimally. This study examines three main issues: (1) the characteristics of current IP governance in Indonesia and its challenges in valuation and economic utilization; (2) the effectiveness of DGIP’s institutional framework in supporting IP valuation and commercialization; and (3) an ideal institutional restructuring model to transform DGIP into an autonomous body. The research combines normative juridical approaches, qualitative data analysis, and comparative studies of IP institutional models in South Korea, Japan, the United States, the European Union, China, Singapore, Saudi Arabia, and Egypt. Findings reveal that DGIP’s current administrative and bureaucratic structure limits flexibility in resource management, innovation ecosystem development, and IP commercialization. The study recommends restructuring DGIP into a Public Service Agency (PSA the Indonesian term being Badan Layanan Umum) to strengthen valuation functions and optimize the economic utilization of IP. This model is expected to enhance public service efficiency, encourage private sector engagement, and foster cross-sectoral synergy in developing a knowledge-based economy.  
Co-Authors Adityo Permana Wibowo Fatahul Arifin, Fatahul Helen Sastypratiwi, Helen Hengky Anra Tresna Dewi