cover
Contact Name
Machrus Ali
Contact Email
machrus7@gmail.com
Phone
-
Journal Mail Official
jeerifortei@fortei.org
Editorial Address
Electrical and Information Technology Engineering Departement. Komplek Fakultas Teknik UGM, Jl. Grafika No.2, Yogyakarta, Senolowo, Sinduadi, Kec. Mlati, Kota Yogyakarta, Daerah Istimewa Yogyakarta 55281
Location
Kota malang,
Jawa timur
INDONESIA
Journal FORTEI-JEERI
ISSN : 27226956     EISSN : 27226948     DOI : 10.46962
Power System; Electric Power Generation, Transmission and Distribution, Power Electronics, Power system analysis, Protection system, Power Quality, Electrical machine and drives, Power Economic, Renewable Energy, Condition Monitoring and Diagnostics, and Energy Systems. Automation and Control; Instrumentation system, transmitter, industrial process control, PLC, SCADA, DSC, IoT in Industrial Automation, Optimal, Robust and Adaptive Controls, Non Linear and Stochastic Controls, Modeling and Identification, Robotics, Image Based Control, Hybrid and Switching Control, Process Optimization and Scheduling, Control and Intelligent Systems, Artificial Intelligent and Expert System, Fuzzy Logic and Neural Network, Complex Adaptive Systems. Electronic and Microelectronics; Electromagnetic compatibility, devices and systems, microelectronics, micro- and nanofabrication of electronic devices, circuits and systems for electronics, electro mechanics and robotic, bioelectronics. Computer Engineering; Computer Architecture, Parallel and Distributed Computer, Pervasive Computing, Computer Network, Embedded System, Human—Computer Interaction, Virtual/Augmented Reality, Computer Security, VLSI Design-Network Traffic Modeling, Performance Modeling, Dependable Computing, High Performance Computing, Computer Security. Informatic and Software Engineering; Information Search Engine, Multimedia Security, Computer Vision, Information Retrieval, Intelligent System, Distributed Computing System, Mobile Processing, Next Network Generation, Computer Network Security, Natural Language Processing, Business Process, Cognitive Systems. Software Engineering (Software: Lifecycle, Management, Engineering Process, Engineering Tools and Methods), Programming (Programming Methodology and Paradigm), Data Engineering (Data and Knowledge level Modeling, Information Management (DB) practices, Knowledge Based Management System, Knowledge Discovery in Data). Telecommunication Engineering; Antenna and Wave Propagation, Modulation and Signal Processing for Telecommunication, Wireless and Mobile Communications, Information Theory and Coding, Communication Electronics and Microwave, Radar Imaging, Distributed Platform, Communication Network and Systems, Telematics Services, Security Network, and Radio Communication. Signal Processing; Digitization (sampling in time and quantizing in amplitude), Band-pass and base-band filtering, Beamforming (spatial filtering), Matched filtering and/or incoherent integration, Detection, classification, localization, and tracking. Biomedical Engineering; Biomedical Physics, Biomedical Transducers and instrumentation, Biomedical System Design and Projects, Medical Imaging Equipment and Techniques, Telemedicine System, Biomedical Imaging and Image Processing, Biomedical Informatics and Telemedicine, Biomechanics and Rehabilitation Engineering, Biomaterials and Drug Delivery Systems.
Articles 3 Documents
Search results for , issue "Vol. 1 No. 1 (2020): FORTEI-JEERI" : 3 Documents clear
A Determination of PV and Wind Power Plant Penetration into a Power System: a Case of Java Bali Musthafa Abdur Rosyied; Sarjiya Sarjiya; Lesnanto Multa Putranto; Izzuddin Fathin Azhar; Eko Yudo Pramono
Journal FORTEI-JEERI Vol. 1 No. 1 (2020): FORTEI-JEERI
Publisher : Forum Pendidikan Tinggi Teknik Elektro Indonesia (FORTEI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (543.539 KB) | DOI: 10.46962/forteijeeri.v1i1.5

Abstract

PT. PLN (Persero) has planned to develop a new renewable energy which has a minimum energy mix of 23% in 2025 and 31% in 2030. An intermittent renewable energy plant, which is uncontrollable and unpredictable, will begin to be massively used. Associated to the intermittent nature of the of intermittent renewable energy source (IRES), adequate system flexibility is necessary. This study determined the penetration level IRES generating unit using the systems load and existing generating unit ramping rate characteristic, IRES generating unit’s ramping rate and system’s technical minimum load (TML) on the Java Bali System based on the 2017 operation condition. The results showed that the TML value of the operating plant was 12164,69 MW. The ramping up and down capabilities of conventional power plants are 945.04 MW / 30 min and 4006.08 MW / 30 min where ± 5% of penetration of IRES was still applicable for the Java Bali System.
A Improving Feature Selection on Heart Disease Dataset With Boruta Approach Muhammad Arzanul Manhar; Indah Soesanti; Noor Akhmad Setiawan
Journal FORTEI-JEERI Vol. 1 No. 1 (2020): FORTEI-JEERI
Publisher : Forum Pendidikan Tinggi Teknik Elektro Indonesia (FORTEI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (274.681 KB) | DOI: 10.46962/forteijeeri.v1i1.6

Abstract

Coronary artery disease (CAD) is one of the deadliest diseases in the entire world, including in Indonesia. CAD occurs due to narrowing or blockage of coronary arteries which is usually caused by atherosclerosis. Various studies have been conducted with the aim to predict the nature and characteristics of this disease. Some researches uses the Z-Alizadeh Sani dataset which consists of 54 attributes with two results of classification, CAD and Normal to classify its data. Feature selection is one way to reduce the number of attributes that exist by leaving the attributes that have a high effect on the dataset. In this study, the Boruta method is used as a feature selection to minimize the attributes and leave the attributes with high relative with the dataset. By reducing the attributes in the dataset through the feature selection process, sets of 17 and 18 attributes are selected as attributes with high relative with the dataset. These attributes then used to calculate the accuracy value of the dataset using the several classification methods and 90,3% accuracy is obtained from this study.
Value of Loss Load Analysis of Java-Bali System Based on Macro Economic Data Christina Purwaningsih; Sarjiya Sarjiya; Yusuf Susilo Wijoyo
Journal FORTEI-JEERI Vol. 1 No. 1 (2020): FORTEI-JEERI
Publisher : Forum Pendidikan Tinggi Teknik Elektro Indonesia (FORTEI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (648.412 KB) | DOI: 10.46962/forteijeeri.v1i1.7

Abstract

Industrial and business sectors have big influence to gross domestic product in some regions (GDP). Beside that, GDP is influenced by electricity consumption. That statement is the reason why value of loss load (VOLL) had to be calculated. This research calculates VOLL for getting the value of outage cost, efficiency and productivity industrial and business sector in each Area Pengaturan Beban (APB) and in entire Java-Bali region. VOLL is calculated by macroeconomic analysis because this method has more time efficiency than survey analysis. VOLL forecasting in 2016-2023 are calculated too in this research. After that, the outage cost forecasting in hierarchical level 1 (HL 1) can be gotten if expected energy not supplied (EENS) from HL 1 is calculated. Before EENS calculation is held, analysis of another reliability indices such as loss of load expectation (LOLE) and loss of load probability (LOLP) were calculated. The calculation results show that VOLL in 2017 is 35,100.67 Rp/kWh and EENS in HL 1 is 7.25 MWh. Total outage cost from calculation is 289 million rupiahs.

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