Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal G-Tech : Jurnal Teknologi Terapan Jurnal Inkofar
Ridwan
Politeknik Manufaktur Bandung
Computer Science & IT Decision Sciences, Operations Research & Management Energy Engineering

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Rancang Bangun Sistem Akuisisi Data Untuk Dashboard Android Pada Sepeda Motor Listrik Ridwan; Nuryanti; Rifqi Radifan
G-Tech: Jurnal Teknologi Terapan Vol 7 No 2 (2023): G-Tech, Vol. 7 No. 2 April 2023
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (515.292 KB) | DOI: 10.33379/gtech.v7i2.2375

Abstract

Sistem akuisisi data saat ini telah menjadi tren teknologi yang banyak dijumpai dalam kehidupan, begitu pun pada sektor otomotif. Tujuan penelitian ini ialah melakukan rancang bangun sistem akuisisi data untuk mengirimkan data sepeda motor listrik kepada dashboard android dengan memanfaatkan protokol komunikasi data serial yaitu Universal Asynchronus Receiver Trasnmitter (UART). Sebuah perangkat Raspberry PI digunakan pada 1 sepeda motor listrik untuk melakukan tugas dalam penerimaan data dari berbagai perangkat sepeda motor listrik, melakukan pengolahan data serta melakukan pengiriman data yang telah diolah kepada sistem dashboard android melalui perangkat USB TTL FTDI. Penelitian ini telah berhasil dalam merancang sistem akuisisi data untuk mengirimkan data sepeda motor listrik kepada dashboard android sehingga dashboard dapat menampilkan fitur lebih lengkap daripada dashboard konvensional dengan rata-rata persentase error jeda waktu komunikasi data serial sebesar 1,072% dimana parameter ditentukan pada 0,1 detik.
Design of a Meeting Room Air Conditioning System Based on Fuzzy Logic Control Mohammad Harry Khomas Saputra; Ridwan; Nenden Siti Nurkholipah; Siti Hadiaty Yuningsih; Marta Hayu Raras Sita Rukmika Sari; Aan Setiawan
INKOFAR Vol. 10 No. 1 (2026)
Publisher : Politeknik META Industri Cikarang

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Background Conventional room cooling systems generally operate at fixed fan speeds without considering variations in room temperature and occupant density, leading to reduced thermal comfort and inefficient energy consumption Purpose This study aims to design and implement an automatic room cooling system that adjusts fan speed based on room temperature and visitor density using Mamdani fuzzy logic control. Methodology The system integrates a DHT22 sensor to measure room temperature and an ultrasonic sensor to estimate visitor density. Mamdani fuzzy logic was employed to process linguistic variables for temperature ("cold," "normal," and "hot") and visitor density ("sparse," "crowded," and "very crowded") to determine the appropriate fan speed. Findings Experimental results demonstrate that the system successfully adjusts fan speed according to environmental conditions. At 17°C with 6 visitors (sparse), the fan operates at low speed (PWM = 39.6), while at 34°C with 37 visitors (very crowded), it reaches high speed (PWM = 211). Under moderate conditions (22°C with 25 visitors), the fan operates at medium speed (PWM = 125), indicating effective adaptive control. Implications The proposed system improves occupant comfort while promoting energy efficiency through adaptive fan speed control. It can be applied in meeting rooms, seminar halls, conference rooms, and other indoor environments with dynamic occupancy levels. Originality This study presents an adaptive room cooling system that integrates room temperature and visitor density using Mamdani fuzzy logic, providing a practical and energy-efficient solution for intelligent indoor environmental control.
Co-Authors Aan Setiawan Mohammad Harry Khomas Saputra Nenden Siti Nurkholipah Nuryanti Rifqi Radifan Sari, Marta Hayu Raras Sita Rukmika Siti Hadiaty Yuningsih