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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Reconfigurable and Embedded Systems (IJRES) TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics CommIT (Communication & Information Technology) ComTech: Computer, Mathematics and Engineering Applications
Edi Abdurachman
Bina Nusantara University
Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Mathematics

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Energy saving on IoT using LoRa: a systematic literature review Mochammad Haldi Widianto; Arief Ramadhan; Agung Trisetyarso; Edi Abdurachman
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 11, No 1: March 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v11.i1.pp25-33

Abstract

The development of devices connected to the internet is very significant, encouraging the creation of the internet of things (IoT). With remote systems, IoT is not enough to use in case of internet instability. By using long range (LoRa), IoT systems can now solve this problem. Millions of data make IoT-LoRa have to spend a lot of energy. This paper helps discover where recent studies offer a broad perspective on energy savings using the systematic literature review (SLR). The paper extracted 252 articles from IEEE, ACM, MDPI, Springer, Hindawi, ScienceDirect, and IAES. 44 articles passed the specified inclusion and exclusion criteria. The article focuses on knowledge about IoT-Lora, energy saving needs, energy saving factors, and the paper demographics. The author synthesizes studies for that purpose on IoT applications using LoRa.
The architecture social media and online newspaper credibility measurement for fake news detection Rakhmat Arianto; Harco Leslie Hendric Spits Warnars; Edi Abdurachman; Yaya Heryadi; Ford Lumban Gaol
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 2: April 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i2.11779

Abstract

Social media is one of the communication media favored by people in the world, especially in Indonesia. This is evidenced by the results of the APJII survey which shows that the majority of Indonesians use social media in their daily activities. One of the advantages of social media is the dissemination of information faster than conventional media so that the quality of information disseminated is lower than conventional media due to the process of disseminating information not through the filter process. By measuring the level of credibility of the online newspaper based on the time credibility, website credibility, and message credibility factors and measuring the level of credibility on social media based on the time credibility, Social Media Credibility, and Message Credibility factors with different levels of weight, it will produce a news likelihood level it's fake news or facts.
Key strategic issues pharmaceutical industry of SCM: A systematic literature review Erick Fernando; Meyliana Meyliana; Harco Leslie Hendric Spits Warnars; Edi Abdurachman
Bulletin of Electrical Engineering and Informatics Vol 9, No 2: April 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (296.421 KB) | DOI: 10.11591/eei.v9i2.1264

Abstract

In this global era, making the competition in the pharmaceutical industry is very treacly. Implementation Supply chain management is the process of planning and managing all sourcing, procurement, distribution activities to increase value to customers and interested companies. Pharmaceutical companies are one that has a very complex supply chain. In this article will discuss the main issues that can improve industry strategic. This research is done by the systematic approach of literature to find things related to research. This study used 64 articles from search results. The results of this search are key issues in the pharmaceutical industry such as product and process development, capacity planning, factory and network design, e-business and IT applications, inventory management, outsourcing and reverse logistics, lean manufacturing, performance measures, people, and information technology. All of these findings are issues that improve the performance of supply chain management in the pharmaceutical industry.
The influence of data size on a high-performance computing memetic algorithm in fingerprint dataset Priati Assiroj; Harco Leslie Hendric Spits Warnars; Edi Abdurachman; Achmad Imam Kistijantoro; Antoine Doucet
Bulletin of Electrical Engineering and Informatics Vol 10, No 4: August 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v10i4.2760

Abstract

The fingerprint is one kind of biometric. This biometric unique data have to be processed well and secure. The problem gets more complicated as data grows. This work is conducted to process image fingerprint data with a memetic algorithm, a simple and reliable algorithm. In order to achieve the best result, we run this algorithm in a parallel environment by utilizing a multi-thread feature of the processor. We propose a high-performance computing memetic algorithm (HPCMA) to process a 7200 image fingerprint dataset which is divided into fifteen specimens based on its characteristics based on the image specification to get the detail of each image. A combination of each specimen generates a new data variation. This algorithm runs in two different operating systems, Windows 7 and Windows 10 then we measure the influence of data size on processing time, speed up, and efficiency of HPCMA with simple linear regression. The result shows data size is very influencing to processing time more than 90%, to speed up more than 30%, and to efficiency more than 19%.
Pengaruh Juri, Prestasi Sebelumnya dan Tingkat Institusi Terhadap Penilaian dalam Lomba Web-Site Lingkup Kementrian Pertanian Edi Abdurachman
ComTech: Computer, Mathematics and Engineering Applications Vol. 1 No. 2 (2010): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v1i2.2694

Abstract

In promoting the use of Information and Communication Technology (ICT) in order to improve efficiency and effectiveness of government service institutions, the Government of Indonesia issued Presidential Instruction No. 3 of 2003 on e-Government. The directive requested that all government institutions in Indonesia should take advantage of ICT to improve public services. In line with this, the Ministry of Agriculture has launched several efforts to support the implementation of Presidential Instruction. One of these efforts is the implementation of the Web Site Competition between Work units under the Ministry. The contest has been held since 2004. The participants were grouped into three categories: 1. Directorate General / Agency 2. Provincial Agricultural Office 3. District Agriculture Office. To carry out the website competition, the Ministry of Agriculture has appointed a five person jury. To evaluate whether there are significant differences between the judges in scoring on the website which was considered and the factors that may affect the assessment, some analysis has been done. The variables included in the analysis was judge scores, level of institution, previous achievements in the competition, the location of both institutions in Java and outside Java. The statistical methods used in the analysis are Multiple Linear Regression and Variance Analysis. The analysis uses data from the Ministry of Agriculture Web Site Competition 2008-2010. 
Pengaruh Sistem Informasi Manajemen, Pelayanan, dan Kepemimpinan Terhadap Indeks Kepuasan Masyarakat di Kota Tangerang Farid Bintoro Aji; Edi Abdurachman
ComTech: Computer, Mathematics and Engineering Applications Vol. 2 No. 2 (2011): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v2i2.2858

Abstract

As a public service provider the government faces a lot of problems associated with the improvement of public service quality through excellent service performance and high quality service products. Leadership factor also plays an important role in service organizations to ensure the effectiveness of the organization. Based on earlier ideas, a research is conducted towards the trade business license service delivery by local government of Tangerang which focuses on aspects of information systems management, service performance, and leadership in relation to the level of community satisfaction. There are several methods of data collection and information, such as questionnaires, interviews, field observation and literature study. The data collected were analyzed using the method of regression analysis, correlation analysis, and chi square test. The analysis showed that there is a significant relationship between the variables of the study. Therefore, it can be concluded that management information systems, service performance, and leadership has significant effects on the level of community satisfaction. 
Brain tumor segmentation using double density dual tree complex wavelet transform combined with convolutional neural network and genetic algorithm Ridha Sefina Samosir; Edi Abdurachman; Ford Lumban Gaol; Boy Subirosa Sabarguna
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 11, No 4: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v11.i4.pp%p

Abstract

Image segmentation is often faced by low contrast, bad boundaries, and inhomogeneity that made it difficult to separate normal and abnormal tissue. Therefore, it takes long periodto read and diagnose brain tumor patients. The aim of this study was to applied hybrid methods to optimize segmentation process of magnetic resonance image of brain. In this study, we divide the brain tumor images with double density dual-tree complex wavelet transform (DDDTCWT), continued by convolutional neural network (CNN), and optimized by genetic algorithm (GA) with 48 combinations yielding excellent results. The F-1 score was 99.42%, with 913 images test data. The training images consist of 1397 normal MRI images and 302 tumor magnetic resonance imaging (MRI) images resized by 32 x32 pixels. The DDDTCWT transforms the input images into more detail than ordinary wavelet transforms, and the CNNs will recognize the pattern of the output images. Additionally, we applied the GA to optimize the weights and biases from the first layer of the CNNs layers. The parameters used for evaluating were dice similarity coefficient (DSC), positive present value (PPV), sensitivity, and accuracy. The result showed that the combination of DDDTCWT, CNN, and GA could be used to brain MRI images and it generated parameters value more that 95%.
Acceptance of augmented reality in video conference based learning during COVID-19 pandemic in higher education Sunardi Sunardi; Arief Ramadhan; Edi Abdurachman; Agung Trisetyarso; Muhammad Zarlis
Bulletin of Electrical Engineering and Informatics Vol 11, No 6: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v11i6.4035

Abstract

Three years after the COVID-19 pandemic emerged, we have adapted to the new normal, especially in the education field. Learning with video conferences has become our daily activity, and learning tools have gotten more prominent attention to gain student engagement, especially in emergency remote teaching (ERT). Since the trends of metaverse campaigns by meta, augmented reality (AR) has increased recognition in education contexts. However, very little research about the acceptance of augmented reality in video conferences, especially among university students. This paper aims to measure acceptance of AR in video conferences to motivate and inspire students to gain benefits and get impactful technology in the learning process. The research gathered data from a survey of 170 university students (from 5 majors in the study program and 17 different demographic areas) using unified theory of acceptance of technology 2 (UTAUT2). The result reveals that variables significantly impact acceptance: performance expectancy, hedonic motivation, and habit. The least significant but still positive effects are effort expectancy, social influence, and facilitating conditions. The study will provide helpful information on AR technology in video conferences and help top-level management in the university that provides online/distance learning in the early diffusion stage for metaverse in education.
Fish Classification System Using YOLOv3-ResNet18 Model for Mobile Phones Suryadiputra Liawatimena; Edi Abdurachman; Agung Trisetyarso; Antoni Wibowo; Muhamad Keenan Ario; Ivan Sebastian Edbert
CommIT (Communication and Information Technology) Journal Vol. 17 No. 1 (2023): CommIT Journal
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v17i1.8107

Abstract

Every country in the world needs to report its fish production to the Food and Agriculture Organization of the United Nations (FAO) every year. In 2018, Indonesia ranked top five countries in fish production, with 8 million tons globally. Although it ranks top five, the fisheries in Indonesia are mostly dominated by traditional and small industries. Hence, a solution based on computer vision is needed to help detect and classify the fish caught every year. The research presents a method to detect and classify fish on mobile devices using the YOLOv3 model combined with ResNet18 as a backbone. For the experiment, the dataset used is four types of fish gathered from scraping across the Internet and taken from local markets and harbors with a total of 4,000 images. In comparison, two models are used: SSD-VGG and autogenerated model Huawei ExeML. The results show that the YOLOv3-ResNet18 model produces 98.45% accuracy in training and 98.15% in evaluation. The model is also tested on mobile devices and produces a speed of 2,115 ms on Huawei P40 and 3,571 ms on Realme 7. It can be concluded that the research presents a smaller-size model which is suitable for mobile devices while maintaining good accuracy and precision.
Improving Competitive Advantages of Higher Education Institutions through IT Governance, IT Excellence, and IT Innovation: A Case Study in School of Informatics Management & Computing in Indonesia David David; Edi Abdurachman; Agustinus Bandur; Wibowo Kosasih
CommIT (Communication and Information Technology) Journal Vol. 17 No. 1 (2023): CommIT Journal
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/commit.v17i1.8505

Abstract

School of Informatics Management & Computing (Sekolah Tinggi Manajemen Informatika & Komputer - STMIK) in Indonesia currently needs to improve its competitive advantages, which are inseparable from capabilities to empower Information Technology (IT) for management activities. The research aims to develop IT innovation theories by studying the influences of IT governance, IT excellence, and IT innovation on the competitive advantages of STMIK in Indonesia. A sequential explanatory model is applied to collect and analyzes quantitative data in the first stage and qualitative data in the second stage. Focus Group Discussions (FGDs) method is also used to receive respondents’ statements to strengthen the research findings. The analysis unit involves private STMIK in Indonesia with heads of schools, deputies, and heads of study programs. Quantitative and qualitative research dimensions and an empirical survey, with the active participation of 85 schools, are implemented. The results emphasize that IT maturity is insignificant as a moderating variable between IT innovation and competitive advantages. Similarly, IT governance is also insignificant for the improvement of competitive advantages. However, competitive advantage is directly and favorably impacted by IT innovation initiatives. These findings demonstrate how much easier it is for universities to improve their competitive edge using their greater IT innovations. This circumstance demonstrates the enormous potential of STMIK’s IT innovation capability in Indonesia, allowing institutions to implement novel strategies to generate value by introducing new services.
Co-Authors Achmad Imam Kistijantoro Agung Trisetyarso Agustinus Bandur Antoine Doucet Antoni Wibowo Arief Ramadhan Boy Subirosa Sabarguna David David Erick Fernando Farid Bintoro Aji Ford Lumban Gaol Gunadi Emmanuel Ivan Sebastian Edbert Meyliana Meyliana Mochammad Haldi Widianto Muhamad Keenan Ario Muhammad Zarlis Priati Assiroj Rakhmat Arianto Ridha Sefina Samosir Sunardi Sunardi Suryadiputra Liawatimena Warnars, Harco Leslie Hendric Spits Wibowo Kosasih Yaya Heryadi