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JAREE (Journal on Advanced Research in Electrical Engineering)
Published by Institut Teknologi Sepuluh Nopember Surabaya
ISSN : -     EISSN : 25796216     DOI : https://doi.org/10.12962/j25796216.v4.i2.116
Core Subject : Engineering,
Control & Systems Engineering Electrical & Electronics Engineering
JAREE is an Open Access Journal published by the Department of Electrical Engineering, Institut Teknologi Sepuluh Nopember (ITS), Surabaya – Indonesia. Published twice a year every April and October, JAREE welcomes research papers with topics including power and energy systems, telecommunications and signal processing, electronics, biomedical engineering, control systems engineering, as well as computing and information technology.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 10 Documents
 1 
Search results for , issue "Vol 6, No 1 (2022): April" : 10 Documents clear
Data Analytics on Indonesia Industries Economic Resilience Based on Poverty Rate Growth During Covid-19 Pandemic Adhi Dharma Wibawa; Lukas Purba Wasesa; Wridhasari Hayuningtyas
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 6, No 1 (2022): April
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v6i1.274

Abstract

Covid-19 pandemic is one of the biggest challenges that each country around the world has to overcome. This pandemic has affected a lot of countries in many sectors including Indonesia. During the year 2020 when Covid-19 cases rise in Indonesia, the poverty rate has also increased by 0.97% meaning almost 270.000 people went poor. Understanding the impact and the resilience especially on the primary industry during the Covid-19 situation is important to decrease the poverty rate as well as create new alternative strategies for the government to overcome. However, the economic resilience of primary industries such as fishing and plantation is still less to explore. In this study, the economic resilience of four major industries in Indonesia when facing the Covid-19 pandemic is presented namely tourism, fishery, plantation, and micro and small business. Bivariate correlation analysis is applied to calculate the statistical correlation between the growth of poverty rate during the Covid-19 pandemic with four major industries in 34 provinces. Based on the result, it can be concluded that plantation industries are the most resilient industries while facing the Covid-19 pandemic, so the provinces with plantation industries as their main industry are less likely to have major growth in poverty rate compared to other provinces with fewer plantation industries. The second most resilient industry is fishing. Meanwhile, the tourism industry is the most vulnerable during the pandemic situation. In this study, the qualitative analysis especially in Riau and Bali provinces is also presented.
Shift Share Location Quotient, and ARIMA Forecasting Methods in the Analysis of the Competitiveness of Tual City and the Economic Growth of the Maluku Province. Nova prista La Adisamu; Endroyono Endroyono; Sumpeno Mardi Susiki Nugroho
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 6, No 1 (2022): April
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v6i1.237

Abstract

 Abstract— Economic development and high competitiveness are significant factors in a region’s success, especially since the enactment of Law Number 32 of 2004 on Regional Government, which converted the centralized to a decentralized system. This study analyzes the GRDP data of Tual City and Maluku Province using the shift share method and the Location Quotient method, resulting in a shift share assessment of Tual City’s regional competitiveness. It can be seen that the economic state of Tual City is still influenced by the Maluku Province’s economic growth of 593,688 with an overall slowdown in Proportional Shift of (-633.686) and an differential shift of (-5,756.040) during 9 years. The ARIMA forecasting method was then used to project the province’s 5th-year economic growth of 8,486,707 (billions) in the 5th period.
SEPIC Converter for Lead Acid Battery Charger Using Fuzzy Logic type-2 Controller Moh. Ifaldi Akbar; Moh. Zaenal Efendi; Syechu Dwitya Nugraha
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 6, No 1 (2022): April
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v6i1.240

Abstract

Over time, the earth where we live is getting warmer every year, this is due to the excessive use of fossil energy which is not environmentally friendly and also the greenhouse effect. Of course, this is not very good for the sustainability of our environment, with the depletion of the ozone layer on our earth, especially since Indonesia is known as a country with a tropical climate, of course, with the resulting impact, our country will be increasingly affected by the impact. In this battery charging using vrla battery and the system has a working system by utilizing a source of lighting from the sun which will be processed into a source of electricity with a solar panel, the system is designed with an output voltage of 14 vdc with an input voltage of 36 vdc from the solar panel, the voltage will be lowered through the SEPIC converter according to the value The duty cycle is set on the mosfet to charge the battery according to the calculation of load requirements. This system focuses on how to maximize battery charging using the CC-CV (constant current-constant voltage) method with a type-2 fuzzy logic algorithm and how the battery lifetime can last a relatively long time and condition switch on cc to cv on soc 99.60%. 
Extraction of Timber’s Features using GLCM, Color Moment and Isotropic Undecimated Wavelet Transform (IUWT) Putri Nur Rahayu; Danang - Erwanto; Asti Riani Putri
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 6, No 1 (2022): April
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v6i1.147

Abstract

Feature extraction can be used to know the characteristic of timber’s texture. Characteristic of timber’s texture can be used to help researcher to identify DNA of timbers which can be detected illegal logging in Indonesia. In this reseach the proposed method is combination GLCM, Color Moment, and Isotropic Undecimated Wavelet Transform (IUWT). The result of the proposed method has agood accuracy. 
An Investigation of Insulating Paper Effect on Gas and Aging on Mineral Oil Transformer Aulidina Dwi Nur Andriyanti; I Made Yulistya Negara; I Gusti Ngurah Satriyadi Hernanda; Daniar Fahmi
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 6, No 1 (2022): April
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v6i1.246

Abstract

A transformer is an essential component in a generator, electrical equipment that works non-stop to support electricity needs. There has been a lot of thermal and electrical activity that the presence of an oil-paper insulator can suppress. The insulating ability can decrease and lead the failure due to the aging of the insulator by heating, moisture, and impurities. The aging of the paper was unavoidable, which caused the cellulose bond to break and form dissolved gases with oil, such as Carbon monoxide, Carbon dioxide, Methane, Acetylene, Ethylene, and Ethane. So, conventional dissolved gas analysis (DGA) was used to investigate further. The use of paper insulation with a certain amount affects the electrical strength of the insulator. A breakdown test on AC voltage is carried out for the following investigation. The result showed that the percentage of paper had an optimum number to get high insulator strength. By heating mineral oil for 250 hours and 500 hours, carbon monoxide and carbon dioxide are released in the different results as the DGA test. It can be concluded that cellulose paper has affected mineral oil's dissolved gas and insulator strength.
Metaheuristic algorithms in optimization and its application: a review Shahab Wahhab Kareem; Kurdistan Wns Hama Ali; Shavan Askar; Farah Sami Xoshaba; Roojwan Hawezi
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 6, No 1 (2022): April
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v6i1.216

Abstract

Metaheuristic algorithms are computational intelligence paradigms especially used for solving different optimization issues.  Metaheuristics examine a collection of solutions otherwise really be wide to be thoroughly addressed or discussed in any other way. Metaheuristics can be applied to a wide range of problems because they make accurate predictions in any optimization situation. Natural processes such as the fact of evolution in Natural selection behavioral genetics, ant behaviors in genetics, swarm behaviors of certain animals, annealing in metallurgy, and others motivate metaheuristics algorithms. The big cluster search algorithm is by far the most commonly used metaheuristic algorithm. The principle behind this algorithm is that it begins with an optimal state and then uses heuristic methods from the community search algorithm to try to refine it. Many metaheuristic algorithms in diverse environments and areas are examined, compared, and described in this article. Such as Genetic Algorithm (GA), ant Colony Optimization Algorithm (ACO), Simulated Annealing (SA), Particle Swarm Optimization (PSO) algorithm, Differential Evolution (DE) algorithm and etc. Finally, show the results of each algorithm in various environments were addressed. 
ANALYSIS OF MATURITY LEVELS OF ICT UTILIZATION ON EAST JAVA’S MICRO, SMALL, MEDIUM ENTERPRISES (MSMEs) IN THE NEW HABITS ADAPTATION ERA Siska - Amalia; Achmad Affandi; Surya Sumpeno
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 6, No 1 (2022): April
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v6i1.267

Abstract

The use of information and communication technology has increased along with the Covid-19 pandemic in early 2020 which made the whole world turn into digitalization. This study focuses on analyzing the maturity level of ICT utilization on East Java’s MSMEs using the Business Model Canvas (BMC) approach and the Capability Maturity Model ISAC FOUNDATION (2007) and evaluating gaps. The results of the analysis shows the maturity average of ICT utilization in East Java’s MSMEs is 0.86, which is at Level 1 (Initial), the gap average is 2,13 and the gap maturity value in ICT utilization in East Java’s MSMEs is Large, that is 1,5.Keywords—ICT, Maturity Level, MSMEs
Initial Research of Renewable Energy Resources for Hybrid Microgrid Implementation, Using Solar and Wind; Transforming the Diesel Dependence. Case Study of Mamburit Island - Indonesia Eric Marcos Hughes Arrocha; Dedet Candra Riawan; Rony Seto Wibowo
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 6, No 1 (2022): April
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v6i1.221

Abstract

Electrical demands are growing rapidly in the world, especially in larger cities, and Indonesia is not an exception. Indonesia's average peak demand is projected to increase by 73% (reaching 43.7 GW) in 2020, by 142% (reaching 61.2 GW) in 2025, and by 205% (reaching 77.3 GW) in 2030, compared with 25.3 GW in 2010 [1]. However, the challenge of completing the growing demand in big cities reveals another huge problem, which are those small villages, communities and islands who doesn’t have access to electricity until now.Many countries apply and use the concept of Micro Grid [MG] as an effective solution, which can be defined as: the grid where each generator or load has to take part in the network management, joining in reactive power supply/voltage control, active power supply/frequency control, fault ride-through capability, and power quality control independently [5].Using an Indonesian remote Island as a real case, different renewable energy sources available will be evaluated to propose the best Micro Grid design integration system to supply electricity facility.This research will describe the principles, measurement process and general mathematical description for the application of the MG model integration.Planning to minimize the traditional electric sources of fossil dependence, the design for Mamburit Island in Sumenep-Indonesia will integrate different generation sources such as, Solar Panel System [PV/SHS] showing Daily Average Irradiation [DNI] of 5.78 kwh/ , vertical Axis Wind Turbine [VAWT] shows wind speed annual average of 8.82 m/s and energy Storage system [ESS] as a real, feasible and friendly options to complete the demand, integrated with Engine Diesel Generator [EDG] present as the actual main sources; minimizing the fossil dependence, through MG principle. Keywords— Smart Micro Grid, Micro Grid Integration, Renewable Energy.
The Evaluation of Electronic Based Government System using Statistical Product and Service Solutions (SPSS) Yudy Kuncoro Dony; Achmad Affandi; Eko Setijadi
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 6, No 1 (2022): April
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v6i1.271

Abstract

SPBE is an information technology used by the government which is expected to improve government performance and meet people's expectations of government. This study uses primary data types by collecting data through online questionnaires using google form facilities. The results of this study found that the average quality of trust in SPBE services was 88.33 with a standard deviation of 12.25, so this indicates that the quality of trust in SPBE services, especially the Magetan Regency Government, is in good classification.
Deep Learning-based Decision Support System for classification of COVID-19 and Pneumonia patients Misha Urooj Khan; Zubair Saeed; Ali Raza; Zeeshan Abbasi; Syeda Zuriat-e-Zehra Ali; Hareem Khan
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 6, No 1 (2022): April
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v6i1.229

Abstract

The fast spread of Coronavirus (COVID-19) poses a huge risk to people all around the world. Recently, COVID-19 testing kits have been unavailable due to rise in effected people and large demand of tests. Keeping the urgency of the situation in mind, an automatic diagnosis method for early detection of COVID-19 is needed. The proposed deep learning decision support system (DSS) for COVID-19 employs MobileNet v2 Deep learning (DL) model for effective and accurate detection. Here we collected Cough auscultations through self-designed digital sensor. The primary experimental results show that the maximum accuracy for training is around 99.91%, and the maximum accuracy for validation is 98.61%, with 97.5% precision, 98.5%recall, and 98% F1-score. The Deep Learning-based model described here strives for similar performance to medical professionals and can help pulmonologist/radiologists increase their working productivity.

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