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All Journal Jurnal Teknologi Informasi dan Komunikasi Teknik: Jurnal Ilmu Teknik dan Informatika
Diapoldo, Fujiama
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Computer Science & IT Education Electrical & Electronics Engineering Engineering Mechanical Engineering

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ANALISIS KONSUMSI DAYA MOTOR JENIS BRUSSHES DIRECT CURRENT (BDC) DAN BRUSSHES LESS DIRECT CURRENT (BLDC) PADA KENDARAAN LISTRIK Achlison, Unang; Teguh Santoso, Joseph; Rozikin, Khoirur; Diapoldo, Fujiama
JURNAL TEKNOLOGI INFORMASI DAN KOMUNIKASI Vol 15 No 1 (2024): Maret
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtikp.v15i1.856

Abstract

Electric vehicles are starting to be widely used among conventional vehicles. The use of a motor as a driver is a very important component for electric vehicles. The battery current and voltage supplied to the motor will determine the performance of the electric vehicle. Based on the analysis of current and voltage measurement results, it can be concluded that (1) the power requirements using the Brusshes Direct Current (BDC) motor type are greater, (2) Electric vehicles are more efficient when using the Brusshes Less Direct Current (BLDC) motor type.
Analisis Model Implementasi Tracking Pengiriman Barang Menggunakan Waterfall dan Rapid Application Development Achlison, Unang; Teguh Santoso, Joseph; Rozikin, Khoirur; Diapoldo, Fujiama
Teknik: Jurnal Ilmu Teknik dan Informatika Vol. 5 No. 1 (2025): Mei: Teknik: Jurnal Ilmu Teknik dan Informatika
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/teknik.v5i1.758

Abstract

System Development Life Cycle (SDLC) is a common methodology used to develop information systems. The purpose of this study is to determine system development between the Waterfall and Rapid Application Development (RAD) models The advantage of using the waterfall method is that the quality of the resulting system will be good because the implementation is carried out in stages. The disadvantage of using the waterfall method is that the system development process takes a long time. The advantage of using the RAD Model method is that the integration of sensors/other applications can be processed faster and more effectively. The disadvantage of using the RAD method is the limitations of payment gateways, and chat bots.
ANALISIS KONSUMSI DAYA MOTOR JENIS BRUSSHES DIRECT CURRENT (BDC) DAN BRUSSHES LESS DIRECT CURRENT (BLDC) PADA KENDARAAN LISTRIK Achlison, Unang; Teguh Santoso, Joseph; Rozikin, Khoirur; Diapoldo, Fujiama
JURNAL TEKNOLOGI INFORMASI DAN KOMUNIKASI Vol. 15 No. 1 (2024): Maret
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtikp.v15i1.856

Abstract

Electric vehicles are starting to be widely used among conventional vehicles. The use of a motor as a driver is a very important component for electric vehicles. The battery current and voltage supplied to the motor will determine the performance of the electric vehicle. Based on the analysis of current and voltage measurement results, it can be concluded that (1) the power requirements using the Brusshes Direct Current (BDC) motor type are greater, (2) Electric vehicles are more efficient when using the Brusshes Less Direct Current (BLDC) motor type.
IMPLEMENTASI ALGORITMA ARTIFICIAL NEURAL NETWORK UNTUK MEMPREDIKSI SUHU DAN KELEMBAPAN DI KOTA SEMARANG Achlison, Unang; Teguh Santoso, Joseph; Rozikin, Khoirur; Diapoldo, Fujiama; Fatihaturrizqi, Muharrom; Sharleen Halima Mandiana, Sharifa; Putri Pagan, Liza; Puspa Sari, Ika
JURNAL TEKNOLOGI INFORMASI DAN KOMUNIKASI Vol. 16 No. 2 (2025): September
Publisher : UNIVERSITAS STEKOM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/jtikp.v16i2.1518

Abstract

Land expansion for residential and industrial areas in a city causes an increase in temperature and humidity. Temperature and humidity changes can be predicted using dynamic spatial modeling as part of the urban planning process. This study aims to predict surface temperature dynamics in Semarang using an Artificial Neural Network (ANN) algorithm, including training, testing, and prediction processing. The data sources used in this study were changes in temperature and humidity prediction factors for 2025 from the BMKG Climatology Station, Central Java UPT. The network architecture model used 2-15-1, and the MSE (Mean Squared Error) reached 0.113. The ANN modeling prediction output showed an average surface temperature prediction of 27.77°C. When compared with the actual value, this model had a fairly good R value (correlation coefficient) during training, with 89% of the data variation. Based on the data, the model is categorized as good and suitable for use in prediction cases.
Co-Authors Fatihaturrizqi, Muharrom Khoirur Rozikin Puspa Sari, Ika Putri Pagan, Liza Sharleen Halima Mandiana, Sharifa Teguh Santoso, Joseph Unang Achlison