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All Journal JTEV (Jurnal Teknik Elektro dan Vokasional The Indonesian Journal of Occupational Safety and Health PROtek : Jurnal Ilmiah Teknik Elektro Seminar Nasional Teknologi Informasi Komunikasi dan Industri
Zulkifli Zulkifli
Politeknik Negeri Bengkalis
Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Health Professions Industrial & Manufacturing Engineering Mathematics Medicine & Pharmacology Social Sciences

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 1 
Rancang Bangun Vertical Wind Axis Turbin (VWAT) Dua Tingkat Jefri Lianda; Zulkifli Zulkifli
Seminar Nasional Teknologi Informasi Komunikasi dan Industri 2016: SNTIKI 8
Publisher : UIN Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (591.263 KB)

Abstract

This paper focuses on improving the performance of vertical axis wind turbines (VWAT)to generate electricity through a permanent magnet generator. One method possible use is theselection of the number and angle Savonius windmill. Savonius turbines are known to have lowefficiency, but the construction is cheap and simple, and can receive wind from any directionand high starting torque. The focus of this study is to test the performance of a wind turbineSavonius 2 levels . This research resulted in a windmill with 59 watts of power . Average voltageis generated in the form of 3 -phase AC voltage of 6,57 volt AC to 18,61 volt AC , and thenstored into the battery using the battery charger.Keywords: permanent magnet generator, savonius, VWAT
Analisa Dan Rancang Bangun Alat Pendeteksi Gangguan Fuse Cut Out Melalui Notifikasi Telegram Berbasis Global Positioning System Hikmatul Amri; Zulkifli Zulkifli; Endang Setio Rini
JTEV (Jurnal Teknik Elektro dan Vokasional) Vol 9, No 1 (2023): JTEV (Jurnal Teknik Elektro dan Vokasional)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtev.v9i1.121267

Abstract

The electric power system must be able to provide a continuous supply of electrical energy with a standard amount of voltage and frequency in accordance with applicable regulations and the system must immediately return to normal conditions if the system experiences a disturbance. This tool is used to detect faults and the location of the fuse cut out (FCO). PZEM-004T sensor to read the voltage of each phase. Neo-6M GPS to get the coordinates of the location which is accessed via Google Map, then the Telegram bot sends a message to the feeder status information, the location connected to the Google Map, the transformer address and the voltage value after the disturbance. The average difference between the actual location distance to the location recorded by GPS NEO-6M is 4.10 meters and recorded by GPS Coordinates is 6.90 meters. The average percentage error of voltage values for each phase in the measuring instrument and in the sensor is in the R = 0.62 % phase, S = 8.94 % and T = 8.57 %. The Telegram bot sends a message when the FCO in the S phase is decided, namely the S Phase status is Lost, because the voltage in the S phase decreases from 221.9 V AC to 117.7 V AC, with the average duration of sending Telegram bot messages is 41.3 seconds.
Factors Related with Unsafe Action in Palm Oil Harvesters at PT. Priatama Riau Kebun Rupat Island Iskandar Iskandar; Y. Denny A. Wahyudiono; Noeroel Widajati; Zulkifli Zulkifli
The Indonesian Journal of Occupational Safety and Health Vol. 12 No. 2 (2023): The Indonesian Journal of Occupational Safety and Health
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/ijosh.v12i2.2023.246-255

Abstract

Introduction: Work accidents can be caused by unsafe action factors in the field, such as not wearing personal protective equipment (PPE), not following work procedures, and not following work safety regulations. The purpose of this study was to analyze the factors related to unsafe actions (unsafe behavior) in oil palm harvesters at PT Priatama Riau. Methods: This is an observational study. The study population consisted of 111 workers in the plantation harvester section. The research sample was calculated using the Slovin formula for as many as 86 workers. The independent variables consisted of OHS knowledge, attitudes, education, length of working period, age, OHS supervision, and OSH training. The dependent variable was Unsafe Action (unsafe behavior). Essential information was obtained through meetings, perceptions, and polls. The information collection instruments used in this study were survey sheets, agenda sheets, and cameras for documentation. Data analysis consisted of univariate and bivariate analyses. Bivariate analysis was performed using the chi-squared statistical test. Results: The factors related to unsafe action/unsafe behavior in oil palm harvesters were sex, years of service, knowledge, attitudes, OHS supervision, OHS training, and unsafe conditions. Conclusion: Judging from the factual test as a whole or together, the factors of tenure, gender, attitude, knowledge, OSH supervision, OSH training, work equipment, and unsafe conditions are related to Unsafe Actions.
Implementation of an IoT-Based Control and Monitoring System for Neon Box Conditions in the Electrical Engineering Building Hikmatul Amri; Zulkifli Zulkifli; Stephan Stephan; Hardi B; Ilham Haris; Azzahra Zulaika; Riski Kurniansyah; Jefri Lianda; Marzuarman Marzuarman
PROtek : Jurnal Ilmiah Teknik Elektro Vol 13 No 2 (2026): Protek : Jurnal Ilmiah Teknik Elektro
Publisher : Program Studi Teknik Elektro Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/protk.v13i2.11082

Abstract

The implementation of an Internet of Things (IoT)-based control and monitoring system for the neon box at the Electrical Engineering Department Building aims to improve operational efficiency, installation safety, and the effectiveness of outdoor lighting maintenance. As an information medium and building identity, the neon box requires real-time monitoring of power, voltage, current, light intensity, and operational status. In this study, a system was designed and implemented using a NodeMCU ESP8266 microcontroller as the main controller, a PZEM-004T sensor to measure voltage, current, and power, a TSL2561 lux sensor to read the light intensity produced by the neon box, and a relay module as an actuator to control the neon box lamp. The Blynk IoT platform is used as the interface to display monitoring data and control the neon box remotely. The system is capable of sending data periodically to the server and displaying information such as voltage, current, power, energy, and illumination levels through a digital dashboard, allowing users to monitor the neon box condition at any time via a smartphone. In addition to monitoring functions, the relay module integrated with the IoT system enables operators to remotely turn the neon box on or off through the Blynk IoT application. The Blynk IoT interface successfully displays four main parameters: voltage, electrical power, lumen, and neon box status at the Electrical Engineering Building. The PZEM-004T sensor achieved an average reading error of 0.66% for voltage and 2.53% for current, while the TSL2561 sensor had an average error of 1.42%. The system can detect lamp failure through combined voltage and power readings, with a response time of 0.856 seconds on the Blynk IoT application, which is influenced by internet network quality.
Co-Authors Azzahra Zulaika Endang Setio Rini Hardi B Hikmatul Amri Ilham Haris Iskandar Iskandar Lianda, Jefri Marzuarman, Marzuarman Noeroel Widajati Riski Kurniansyah Stephan Stephan Y. Denny A. Wahyudiono