Article Per Year (5 Year)
p-Index From 2021 - 2026
1.8
P-Index
This Author published in this journals
All Journal Transmisi: Jurnal Ilmiah Teknik Elektro GEMA TEKNOLOGI Jurnal Sistem Komputer Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Jurnal Pengabdian Vokasi Journal of Vocational Studies on Applied Research
Arkhan Subari
STr. Teknik Listrik Industri, Sekolah Vokasi, Universitas Diponegoro
Computer Science & IT Education Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice

Published : 35 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 35 Documents
Search

 1   2   3   4 
Rancang Bangun Automatic Oil Skimmer Dengan Metode UV Visible Transmission Spectroscopy Berbasis ESP32 Pada Limbah Industri Hanif Abdul Qodir; Arkhan Subari
Gema Teknologi Vol 21, No 4 (2022): October 2021 - April 2022
Publisher : Vocational School Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/gt.v21i4.90284

Abstract

Electricity is a form of energy that has now become a part of life for all mankind. Almost everything that humans use requires electricity to function, where the greater the energy required, the more electrical energy that needs to be generated. The majority of generators used are steam power plants that require coal. Where the coal used requires a mining process which will produce waste, one of which is used oil from coal transport equipment which is undergoing maintenance. This used oil will later mix with water when the workshop is cleaned. To ensure the cleanliness and safety of waste water that will be channeled back into nature, preventive measures need to be taken in the form of using an oil skimmer. Oil skimmers are still rarely used in Indonesia, and still require operator intervention. One method to reduce operator intervention is to automate the oil skimmer tool by utilizing the UV Visible Transmission Spectroscopy method, ESP32, and a belt skimmer made from polypropylene. From this method it can be seen that oil causes changes in light intensity, where these changes indicate the amount of oil in the water.
Alat Ukur Deviasi Error KWH Meter Digital 1 Fasa Dengan Metode Pengukuran Daya Untuk Mengetahui Penyimpangan Perhitungan Energi Lalu Thoriq Darlyn Pratama; Arkhan Subari
Gema Teknologi Vol 22, No 2 (2023): October 2022 - April 2023
Publisher : Vocational School Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/gt.v22i2.90199

Abstract

Metering Devices (APP) are a key component in the energy transaction sector at PT. PLN (Persero) because they affect the calculation of the company’s revenue. However, in the field, damage and tampering with APPs are frequently encountered, resulting in revenue losses for PLN. Damage to APPs generally occurs naturally due to the devices’ age. Meanwhile, tampering with APPs is usually caused by deliberate actions by customers who alter the wiring of the kWh meter to reduce the recorded energy consumption. Until now, PLN staff have struggled to verify the presence of damage or tampering in the AMUs due to time constraints and limited testing equipment, resulting in inspections being conducted only visually. This kWh meter error deviation measurement device will help PLN staff identify problematic AMUs more efficiently and easily. This device measures the power recorded by the APP via the LED impulse indicator parameter and compares it with the actual power consumed by the customer as measured by the PZEM 004T sensor module, thereby determining the percentage of the kWh meter’s error deviation. After obtaining the error deviation value, the device will send an SMS notification using an 800L SIM card to staff at the office; thus, if an error deviation value exceeding the tolerance limit is found, it will be used for enforcement purposes as well as customer analysis and evaluation (ANEV). The results from this device demonstrate good accuracy because, when testing different loads on the same APP, the deviation values do not fluctuate. in the tests conducted, the average deviation was 1.89% under normal conditions and -23.94% under conditions where a deviation was present. Furthermore, this device has an average error difference of only 0.59% when measurements are taken using the device compared to manual calculations of the error deviation. This device can help improve inspection efficiency.
Rancang Bangun Sistem Distance Warning Pada Dump Truk Berbasis Arduino Uno Dengan Menggunakan Sensor Lidar Tito Bobot Pamungkas; Arkhan Subari
Gema Teknologi Vol 21, No 3 (2021): April 2021 - October 2021
Publisher : Vocational School Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/gt.v21i3.90269

Abstract

The distance warning system on a dump truck is a system designed to alert the driver when the distance between the dump truck and an object in front of it exceeds a predetermined threshold, using both visual and audible alerts. In this final project, the distance warning system was implemented on a dump truck using an Arduino Uno as the microcontroller and a LiDAR sensor as the input source to detect the distance between the dump truck and the object in front of it; the LiDAR sensor is also capable of providing consistent distance data. Testing was conducted to measure the accuracy and consistency of the distance warning system so that the test results could demonstrate that the distance warning system on the dump truck is capable of accurately alerting the driver, thereby enhancing safety and minimizing the risk of accidents involving dump trucks in the field. One of the tests conducted assessed the accuracy of the lidar sensor in detecting distance, with a maximum detectable range of 40 meters and a tolerance limit of ±2.5 cm for distances <5 meters and ±10 cm for distances >5 meters.
Prototype Pembangkit Dan Penyimpanan Energi Listrik Pada Sepeda Statis Anjassyafiq Wahyu Arrasyid; Arkhan Subari
Gema Teknologi Vol 21, No 4 (2022): October 2021 - April 2022
Publisher : Vocational School Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/gt.v21i4.90290

Abstract

Efforts to utilize renewable energy can be enhanced by using alternative energy resources, such as motion power, one of which is a simple electricity generator from a stationary bike. The system utilizes pedaling motion, converted by a DC generator into battery charging. In this project, several developments were made, including charging efficiency, monitoring systems, energy accumulation, distance tracking, and a bonus system. The testing shows that the gear ratio affects RPM speed, proven by a rotation of 3000 at gear 5. Using gear 5, the power output at 3100 RPM reached 96.81W, with generator voltage at 21.3V, charging voltage at 14.26V, and current at 6.73A. Energy testing was conducted with four users pedaling for 5 minutes. The first user achieved an energy accumulation of 3.270 Wh, a bonus of Rp. 300, and a distance of 2146m. Test results for all four users are also presented in graph form for comparison. Parameters during the charging process can be monitored through the Arduino-based monitoring system.
Rancang Bangun Sistem Pemantauan Kualitas Udara (CO2, NH3, Partikulat Debu PM2.5, Suhu, Dan Kelembapan) Dengan Sensor MQ 135, DHT22, Dan DSM501A Secara Real-Time Berbasis ESP32 Dan IoT Ermasa Cintana Indah Sitopu; Arkhan Subari
Gema Teknologi Vol 21, No 4 (2022): October 2021 - April 2022
Publisher : Vocational School Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/gt.v21i4.90286

Abstract

Declining air quality caused by human activities increases health risks, especially to the respiratory system. Gases like CO₂, NH₃, and fine particulate matter (PM2.5) are difficult to detect directly but pose significant health hazards, making real-time air quality monitoring systems necessary. This study designs a system based on ESP32 and IoT to measure the concentrations of CO₂, NH₃, PM2.5, temperature, and humidity in real-time using MQ135, DHT22, DSM501A sensors, and an RTC DS3231 module. Data is displayed on a dot matrix display and stored on the Arduino IoT Cloud platform. Testing shows that the system effectively monitors these parameters with good accuracy (sensor error rates: CO₂ 1.82%, temperature 3.33%, humidity 0%, PM2.5 8.17%). The system successfully provides accurate real-time data and facilitates further analysis, with potential for further development including automatic notification features and increased data logging capacity.
Co-Authors AGUS PURWANTO Alim, Ilmam Fauzi Hashbil Anjassyafiq Wahyu Arrasyid Ashifa, Danu Nur Azis Nurrochma Wardana, Azis Nurrochma Budiyono Budiyono Dinda Hapsari Kusumastuti, Dinda Hapsari Dista Yoel Tadeus Eko Ariyanto Ermasa Cintana Indah Sitopu Fakhruddin Mangkusasmito Fakhrudin Mangkusasmito Fauzi, Adnan Fauzi, Adnan Galuh Wahyu Wohingati, Galuh Wahyu Hafizh Prasetio Utomo Hanif Abdul Qodir Hanifan Arya Genio Hati, Redi Permata Heny Kusumayanti Heru Winarno Heru Winarno Ida Hayu Dwimawanti Indradewa, Rhian Irene Ega Novena Putri, Irene Ega Lalu Thoriq Darlyn Pratama Lutfiyanto, Agung Hanifan Manan, Saiful Muhammad Ishaq Islahuddin, Muhammad Ishaq Muhammad Wildan Hariansyah Putra Puteri, Ratna Azizah Ratih Kusuma Dewi Reny Yesiana Roy Wijayanto Saiful Manan Saiful Manan Samputro, Muhammad Rizki Setiyani, Umi Syabibi, Muhammad Khoiru Tito Bobot Pamungkas Wiguna, Esa Hayyu Wirawan, Herdoyo Yuniarto Yuniarto, Yuniarto