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All Journal Elkom: Jurnal Elektronika dan Komputer Jurnal Teknologi Informasi dan Komunikasi Jurnal Publikasi Ilmu Manajemen Journal of Technology Informatics and Engineering
Joseph Teguh Santoso
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Mechanical Engineering

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Journal : Elkom: Jurnal Elektronika dan Komputer

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Analisis Pengisian Baterai Aki Kendaraan Listrik Menggunakan Sumber Daya dari Panel Surya dan PLN Unang Achlison; Joseph Teguh Santoso; Khoirur Rozikin; Silalahi, Fujiama Diapoldo
Elkom: Jurnal Elektronika dan Komputer Vol. 17 No. 2 (2024): Desember : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v17i2.2128

Abstract

Electric vehicles use a power source from electrical energy to be converted into kinetic energy. The electrical energy source is stored in the battery. The battery charging process can be done using power sources from Solar Panels and PLN. Based on the analysis of the measurement results, it can be concluded that (1) recharging the battery using Solar Panels from minimum to maximum conditions takes 4 hours 38 minutes, and (2) recharging the battery using PLN from minimum to maximum conditions takes 2 hours.
Analisis Hasil Ukur Sensor Arus dan Tegangan untuk Memantau Daya Listrik berbasis Microcontroller Achlison, Unang; Joseph Teguh Santoso; Khoirur Rozikin; Fujiama Diapoldo
Elkom: Jurnal Elektronika dan Komputer Vol. 16 No. 1 (2023): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v16i1.1193

Abstract

The community's need for electric power is increasing and efforts to monitor electric power are to obtain information on the results of measurements of voltage and electric current. Based on the analysis of the measurement results, it can be concluded that (1) the current measurement is more optimal when using the SCT-013 current sensor, (2) the voltage measurement is more optimal when using the PZEM-004T voltage sensor, (3) the difference in measurements using the current sensor is greater than the difference with a voltage sensor.
Analisis Pengisian Baterai berbasis Arus dan Tegangan pada Baterai Kendaraan Listrik Unang Achlison; Joseph Teguh Santoso; Khoirur Rozikin; Fujiama Diapoldo
Elkom: Jurnal Elektronika dan Komputer Vol. 16 No. 2 (2023): Desember : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v16i2.1579

Abstract

Kendaraan listrik mulai banyak digunakan di kalangan kendaraan konvensional. Penggunaan baterai sangat penting bagi kendaraan listrik dan baterai sebagai sumber energinya. Proses pengisian baterai dapat dilakukan dengan menjaga arus tetap konstan atau menjaga tegangan tetap konstan pada saat pengisian baterai. Berdasarkan analisis hasil pengukuran dapat disimpulkan bahwa (1) kapasitas baterai dapat dicapai dengan menggunakan tegangan konstan dan arus besar, atau arus konstan dan tegangan besar, (2) pengisian baterai akan mencapai kapasitas baterai lebih cepat bila menggunakan besar saat ini.
AI For Effective Project Resources Management Budi Raharjo; Joseph Teguh Santoso
Elkom: Jurnal Elektronika dan Komputer Vol. 15 No. 2 (2022): Desember : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v15i2.1887

Abstract

This research endeavours to delve into the potential of Artificial Intelligence (AI) in bolstering Project Resource Management (PRM), discerning the principal challenges inherent in project resource planning, acquisition, and human as well as physical resource management, while also appraising the utilization of AI tools by project team members (PTM) and their efficacy in daily tasks. This research contributes a theoretical basis for what lies ahead studies in PM and unveils the benefits of AI in task monitoring, scheduling, team assignment, cost estimation, and the monitoring of physical project resource availability. This study employs a mixed-method approach, commencing with an initial literature review to identify project challenges. Data collection is facilitated through the administration of questionnaire surveys and interviews with project managers, encompassing both closed-ended and semi-structured questions. The research reveals that PTM readily embraces the utilization of AI for daily tasks and Project Resource Management can be enhanced through AI.
Co-Authors Budi Raharjo Danang Danang Fujiama Diapoldo Fujiama Diapoldo Silalahi Khoirur Rozikin Laksamana Rajendra Haidar Siti Kholifah Sulartopo Sulartopo Unang Achlison