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Rudy Kurniawan
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Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering)
Published by Universitas Bangka Belitung
ISSN : 23555068     EISSN : 26224852     DOI : https://doi.org/10.33019/jurnalecotipe
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering
This scientific journal is called Jurnal Ecotipe (Electronic, Control, Telcommunication, Information, and Power Engineering) with clusters of science in the field of Electrical Engineering covering the field of Electronics, Control, Telecommunications, Information/Informatics, and Power Electricity. The schedule of scientific journal publication is planned 2 times / volume in a year, ie April and October. The author can come from institutions outside the Department or from within the Department of Electrical Engineering University of Bangka Belitung. Aim and Scope : Electronics, Electronic Materials, Microelectronic System, Control System Engineering, Instrumentation and Control Engineering, Robotics, Telecommunication, Modulation and Signal Processing, Antenna and Wave Propagation, Information Technology, Information Theory and Coding, Computer Engineering and Informatics, Electrical and Power Engineering, Transmission and Distribution, Renewable Energy.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 199 Documents
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Forensic Investigation of Digital Evidence on Flash Disk with Forensic Process Method Based on NIST Febriand Gysberth Pariela Zamsari; Teguh Wahyono
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 11 No 1 (2024): Jurnal Ecotipe, April 2024
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v11i1.4489

Abstract

Flash disk is a tool that is inseparable from daily life. With flash disks, users can keep important data for personal or company. Apart from that, in lots of cases Indonesian law uses flash disks as evidence. ITE Law (Law Information and Transactions Electronics) regulates how the provision of digital evidence becomes strong evidence in court.​ This research investigates forensics to digital evidence on a flash disk with four scenario tests. Processing digital forensics uses a forensic process based on guide National Institute of Standards and Technology (NIST). This research produces an analysis where the evidence processed with scenarios 1 and 4 are valid digital evidence to be submitted to the court, while evidence 2 and 3 are invalid evidence.
Monitoring System for Electrical Energy Use and Charging Electricity Tokens Based on Website and Whatsapp Application Novri Amsyah; Asmar Asmar; Rudy Kurniawan
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 11 No 1 (2024): Jurnal Ecotipe, April 2024
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v11i1.4494

Abstract

The large number of equipment or electrical loads used causes large amounts of electrical energy usage. To determine the amount of electrical energy used, you can install an electrical energy meter whose results can be monitored via an LCD display. In this research, a website-based application was designed that can monitor electrical energy usage, by providing information in the form of voltage, current, power, and active power usage over time. Apart from that, this website can also top up electricity tokens as a feature to limit the use of electrical energy that will be used by users and is equipped with a notification message for remaining electricity tokens to the Whatsapp application. This system was developed using an ESP32 microcontroller which will provide data, process data, and present data from instrument measurements, then send the measurement results data every 15 seconds to the monitoring website. From the test results, the tool can measure electrical quantities such as current and voltage. The tool can also send measurement results to the website and store measurement data in a database. Test results for sending notification messages, the message was successfully sent to WhatsApp media if the electricity token met the specified conditions.
Implementation OEE in Integrating Siemens S7-1200 Data with Odoo ERP Muhammad Rafi Solakhudin; Muhammad Khoirul Hasin; Ii Munadhif
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 11 No 2 (2024): Jurnal Ecotipe, October 2024
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v11i2.4491

Abstract

The integration of perational Technology (OT) and Information Technology (IT) is crucial for enterprise-level decision-making regarding company effectiveness and productivity. This integration is achieved by developing an integrator system in the form of an API service, which facilitates the connection between Programmable Logic Controller (PLC) and Odoo Enterprise Resource Planning (ERP). Integration allows IT systems synergize with OT systems to processing data obtained from the performance of industrial machines. Analysis was conducted using the Overall Equipment Effectiveness (OEE) method to monitor the company’s production outcomes. A prototype sorting system with PLC for controlling was created as an OEE implementation. The API service acquires data from the plant and performs preliminary analysis in Odoo ERP. The analysis in Odoo ERP is conducted through the development of a manufacturing module that applies the OEE method calculations to monitor the effectiveness and efficiency of production procces. Once the calculation result is obtained, these data are monitored on Grafana in the form of pie charts and graphs. This research yielded insight into the design and implementation of an integration system for the bottle sorting process. The result also could be monitored in real-time using Odoo ERP and Grafana. Furthermore, the OEE analysis was matched with manual calculations in order to ensure its validity. Thus, this research enables the production process to be optimized and provides significant benefits to the company.
Analysis of Waste Utilization of Refuse Derived Fuel (RDF) Into Briquettes for Steam Power Electric Generation Yossi Arif Rachman; Marhama Jelita
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 11 No 2 (2024): Jurnal Ecotipe, October 2024
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v11i2.4492

Abstract

Waste in Indonesia reaches 65.2 million tons/year, dominated by organic and inorganic waste. Around 36% of the total waste has not been managed properly, including 4K1P waste (paper, wood, cloth, rubber, and plastic), which is flammable and can be made into RDF briquettes using the pyrolysis method and paraffin adhesive which will used three variations of raw materials, namely from organic, inorganic and mixed waste. The quality of the three briquettes was compared based on calorific value, ash content, water content, and PLTU fuel requirements if used as fuel for a 7.5 MW capacity PLTU. The weight of the initial raw material for briquettes is 2 kg which produces 875 grams of paper carbon charcoal, 648 grams of wood, 1.09 kg of plastic, 856 grams of cloth, and 1.16 kg of rubber, resulting in 10 pieces of organic, inorganic and mixed briquettes each. The test results show that inorganic briquettes have the best quality with a calorific value of 8,075.92 cal/g, water content of 1.75%, and ash content of 10.84%, where the calorific value and water content meet SNI-01-6235-2000. The minimum fuel requirement for a PLTU using RDF briquettes is inorganic briquettes, namely 3.05 tonnes/hour with an annual requirement of 26,205.6 tonnes/year. It can be concluded that inorganic briquettes have the best quality and require the least amount of fuel to be used in PLTU.
Design of LPG Leakage Detection Device using MQ-2 Sensor Equipped with Hazard Warning System Fadila Maiza; Suratun Nafisah; Khansa Salsabila Suhaimi; Ahmad Fahri Fahrezi
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 11 No 2 (2024): Jurnal Ecotipe, October 2024
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v11i2.4495

Abstract

The use of liquefied petroleum gas (LPG) as household fuel in Indonesia has increased because it has greater heating power and equipment efficiency than other fuels. LPG is flammable and can explode if a leakage occurs and is exposed to a fire source. Therefore, explosions can be anticipated by installing a gas leakage detector equipped with a danger warning feature called Tor-G (LPG Detector) based on the NodeMCU ESP8266 microcontroller using an MQ-2 sensor with a buzzer and LED as a danger warning feature. Tor-G can detect when a gas leakage occurs and provides a danger signal in the form of a sound from a buzzer which can be heard several meters away by the homeowner so that an explosion can be anticipated quickly. This research carried out four tests: the sensor accuracy test, the sensor responsiveness test, the distance between the sensor and the leakage source test, and the responsiveness of the buzzer and LED test. The results of the tests show that the sensor only detects the LPG. The sensor readings are accurate since the value of Rs/Ro on the Tor-G is not much different from that of Rs/Ro on the datasheet, thus producing an error value in the 0% -0.08% range. The ideal installation position of the Tor-G is 75 cm from the gas cylinder and the danger warning system from the buzzer and red LED lights up within 18.88 seconds.
Design and Implementation of LPG Leakage Detection System using IoT-based Regulator Lever Automation on a Household Scale Lusiana Sinaga; Suratun Nafisah; Khansa Salsabila Suhaimi; Muhammad Akmal Shani
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 11 No 2 (2024): Jurnal Ecotipe, October 2024
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v11i2.4496

Abstract

Liquefied Petroleum (LPG) is very common in daily cooking activities. Therefore, preventive measures must be taken to reduce the risk of fire and explosion due to LPG leakages. One action that can be taken is to install a regulator lever that can open automatically when a leakage is detected. In this research, Pulse Width Modulation (PWM) is used to control the rotational speed of the servo motor on the regulator lever, which aims to implement an automatic control system that is responsive when an LPG leakage is detected. Using servo motor control to automatically open the regulator lever can reduce the impact of accidents or losses due to LPG leakages. The test results show that the regulator lever can be opened effectively with a pulse value of 0.55 ms at a rotation angle of 0° in 0 seconds, while it can be closed with a pulse value of 2.45 ms at an angle rotation of 180° in 1.66 seconds. This shows that the regulator responds appropriately to the level of danger detected and is precise in adjusting position. The use of PWM on servo motors in the regulator control system has proven effective in increasing responsiveness to LPG leakages, as seen from the fast response (0 to 1.66 seconds) and accuracy (100% success percentage for 15 trials). This shows that using PWM can respond to emergencies quickly and precisely.
Performance of High-Gain Observer (HGO) For Level Estimation in Continuous Stirred Tank Reactor (CSTR) Dian Mursyitah; Ahmad Faizal; Zulfatri Aini
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 11 No 2 (2024): Jurnal Ecotipe, October 2024
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v11i2.4497

Abstract

This paper presents an estimation of level in CSTR system. Due to the non-linearity in the model of the CSTR system, our focus is on observers capable of handling this non-linearity. We proposed to use a High Gain Observer (HGO) for performing level estimation. The desired characteristics for estimation include minimal error, fast convergence time, and robustness in the presence of noisy measurements. A comprehensive analysis of the observers, including the evaluation of their effectiveness and robustness, is presented through simulation
Testing Smoker Detection Using Google Cloud Services and Infrastructure Muhammad Mustajib; Sri Gunawan; Aldo Lovely Arief Suyoso; Hendro Margono; Muhammad Rafi Solakhudin
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 11 No 2 (2024): Jurnal Ecotipe, October 2024
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v11i2.4499

Abstract

Smoking remains a significant public health challenge globally, contributing to a wide range of detrimental health outcomes including cardiovascular diseases, cancer, and respiratory disorders. Despite concerted efforts to curb smoking rates through policy interventions, effective monitoring and enforcement remain complex and resource-intensive tasks for health authorities and organizations. Innovative approaches leveraging advanced technologies such as visual detection systems powered by deep learning offer promising solutions to enhance smoking behavior detection and monitoring. Integrating the Google Cloud Vision API enables real-time identification of smoking indicators and discrimination from complex visual backgrounds. This capability not only supports proactive health monitoring but also strengthens the enforcement of public health policies aimed at reducing smoking prevalence. The research methodology utilizes a dataset of 600 images sourced from the Kaggle platform, encompassing diverse scenarios to optimize model training. Techniques such as image segmentation, feature extraction, and machine learning-based classification are employed to achieve high levels of precision and recall in identifying smokers and cigarette smoke. Despite the advantages of scalability, robust infrastructure, and high availability facilitated by cloud computing, the study acknowledges challenges such as bandwidth constraints and security risks associated with handling sensitive health data. Nevertheless, technological innovations in visual detection systems and cloud services are underscored as pivotal in mitigating the health impacts of smoking and advancing public health initiatives.
Reliability Analysis of Steam Turbine Instrumentation Using the Failure Mode and Effect Analysis (FMEA) Method at PT. PLN Nusantara Power UP Tenayan Anzhar Devalma; Jufrizel Jufrizel; Aulia Ullah; Ahmad Faizal
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 11 No 2 (2024): Jurnal Ecotipe, October 2024
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v11i2.4504

Abstract

PT. PLN Nusantara Power Unit Generation Tenayan is a company operating in the Steam Power Plant sector in Pekanbaru, Indonesia. One of the main components of a steam power plant (PLTU) is a steam turbine. A steam turbine is a machine that functions to convert kinetic energy into electrical current. Operational failures are often caused by less than optimal instrumentation in the steam turbine. This research uses the failure mode and effect analysis (FMEA) method with the aim of identifying the type of failure, the cause of the failure, the effect of the failure, and determining the RPN value. The analysis results from this research show that the turbine instrumentation components still meet performance standards because the risk priority number (RPN) value is less than 200. The conclusion from this research is that errors in steam turbine instrumentation are inaccurate sensor readings, switches cannot deactivate the equipment, and readings control room does not match local readings, the instrumentation component with the highest risk priority number (RPN) is the solenoid valve with a value of 140, and the instrumentation component with the lowest risk priority number (RPN) is the pressure indicator with a value of 30. The component given top priority in action The recommendation is for the solenoid valve component, namely to carry out maintenance every 6 months and add an overspeed protection system
Reliability Analysis of Coal Feeder Instrumentation Using Failure Mode and Effect Analysis (FMEA) at PT. PLN Nusantara Power UP Tenayan Aulia Rahmadana; Jufrizel Jufrizel; Hilman Zarory; Putut Son Maria
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 11 No 2 (2024): Jurnal Ecotipe, October 2024
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v11i2.4505

Abstract

PLN Nusantara Power UP Tenayan is a coal-fired power plant supplying electricity to the Riau region with a capacity of 2 x 110 MW. Operating 24/7, the plant faces frequent failures, particularly in the instrumentation components of the coal feeder. This research employs the Failure Mode and Effect Analysis (FMEA) method to identify and analyze these failures. The Risk Priority Number (RPN), calculated by multiplying severity, occurrence, and detection ratings, helps determine the failure level. Research stages include a preliminary study, problem identification, observations and interviews, data collection and processing, FMEA analysis, and conclusion drawing. The results indicate that the instrumentation components are generally reliable, with RPN values below the critical threshold of 200. The speed sensor, with the highest RPN value of 160, is still categorized as reliable. Failures in these components can lead to operational failures, suboptimal coal feeder performance, and monitoring difficulties. The study recommends preventive maintenance every six months to enhance reliability and minimize disruptions.

Page 18 of 20 | Total Record : 199

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