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The Indonesian Journal of Computer Science
Published by STMIK Indonesia Padang
ISSN : 25497286     EISSN : 25497286     DOI : https://doi.org/10.33022
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering Engineering
The Indonesian Journal of Computer Science (IJCS) is a bimonthly peer-reviewed journal published by AI Society and STMIK Indonesia. IJCS editions will be published at the end of February, April, June, August, October and December. The scope of IJCS includes general computer science, information system, information technology, artificial intelligence, big data, industrial revolution 4.0, and general engineering. The articles will be published in English and Bahasa Indonesia.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 1,106 Documents
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A Theoretical Artificial Intelligence Framework for Electricity Generation Life Cycle Mnkandla, Ernest
The Indonesian Journal of Computer Science Vol. 11 No. 2 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i2.3019

Abstract

The global economic growth heavily lies on the manufacturing sector. However, over the past decade, manufacturing sector in general has been facing a serious production downturn, hence, operating below its capacity mostly due to its inefficient and ineffective production system. Additionally, due to failure for manufacturing sector to constantly measure, develop and implement novel approaches in order to make sure it positions itself for economic growth as well as unlocking new opportunities within the ever-changing and complex worldwide market environment. However, ss of 2011, Industrial revolution 4.0 seems to have been a crucial factor in reshaping the sociological, economic, and technological landscape. Businesses associated with exposure to continuous digital transformation are able to capitalize on Industrial revolution 4.0 potential but are also compelled to deal with various impediments. Yet, research on the opportunities associated with the integration of Industry 4.0 in manufacturing industries from a holistic perspective is scarce. To fill this research gap, this study adopted the PRISMA approach to conduct a thorough investigation on the potential opportunities related to the adoption of industry 4.0 in the context of manufacturing businesses.
An integrated Machine Learning Model for Manufacturing industry Mulongo, Yves
The Indonesian Journal of Computer Science Vol. 11 No. 1 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i1.3021

Abstract

The purpose of this article is to examine the process of developing services based on machine learning technologies in a manufacturing environment context. Over the past decade, there has been a resurgence of interest in technology, with prominent technology business organisations and several start-ups incorporating it into their operations. The technology's widespread applications capacity for obtaining a competitive advantage, combined with the prospect of task automation for increased operational efficiency, renders it a significant resource for large corporations. Yet, the rate at which most of manufacturing firms are implementing Machine Learning services into their operations is very insignificant. Technical expertise has dominated study in this field, with minimal participation from other areas. Thus, the goal of this article is to identify the development benefits of Machine Learning services and to provide a process model for their deployment, based on service development and value theory.
Application of Artificial Neural Network into Manufacturing Processes Mnkandla, Ernest; Mulongo, Yves
The Indonesian Journal of Computer Science Vol. 11 No. 2 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i2.3022

Abstract

The neural network model is an advanced and effective tool aims at simulating the manufacturing operations. An important number of researchers have utilized artificial neural network (ANN) to optimising multiple response metrics in manufacturing applications. In the majority of situations, the use of ANN enables the prediction of the mechanical and physical properties of manufacturing goods based on provided technical data. To this end, the deployment of ANN in manufacturing sector is tremendously significant in terms of cost and material resource savings. Thus, Artificial neural network as a key component regarding the optimization of the manufacturing processes.
MaTriG: Game Edukasi Matematika dengan Construct 3 Permatasari, Shinta; Asikin, Mohammad; Dewi , Nuriana Rachmani
The Indonesian Journal of Computer Science Vol. 11 No. 1 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i1.3025

Abstract

Mathematics is a structured subject and is still interconnected between materials, sometimes there are students' assumptions about math lessons that are very difficult so students are lazy to learn making the learning environment unattractive for students. The teacher must start to make something interesting for students. Along with the development of technology, many things can be made to support learning, one of which is games. This study uses the Research and Development (R&D) method. The MaTtriG educational game was developed using software construct 3. The MaTriG game was designed with the help of Adobe Illustrator 2020. This MaTriG educational game is of the platformers game genre, the educational side of this game includes math material, one of which is a two-variable linear equation system for class VIII. A platform for creating MaTriG educational game applications with Android that can be played and learned anywhere.
Penilaian Investasi Teknologi Informasi STMIK Indonesia Padang Menggunakan Val IT Framework 2.0 Domain Investment Management (IM) Gusman, Anisya; Winarno, Wing Wahyu; Nasiri, Asro
The Indonesian Journal of Computer Science Vol. 11 No. 1 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i1.3026

Abstract

IT investment is an investment that can be made to increase resources from IT expenses by utilizing these expenditures to achieve the expected value. In measuring IT values in a business context, one methodology that can be used is Val IT. Val IT has three domains, one of which is Investment Management (IM). The results obtained at STMIK Indonesia Padang in developing and evaluating the concept of business case programs are still at level 2 where this means the campus has built a business case but is still unclear. But overall, STMIK Indonesia Padang is at level 3 where this is at the defined level so that STMIK Indonesia Padang is increasingly aware of the importance of managing changes and procedures carried out have been passed, documented and communicated. But at the implementation stage it is still individual.
Analisis Pilkada Medan pada Sosial Media Menggunakan Analisis Sentimen dan Social Network Analyisis Anam, M. Khairul; Firdaus, Muhammad Bambang; Fitri, Triyani Arita; Lusiana; Agustin, Wirta; Agustin
The Indonesian Journal of Computer Science Vol. 11 No. 1 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i1.3027

Abstract

The simultaneous regional head elections were over, but during the campaign until it was decided to become regional head there were many comments, both pro and contra. The city of Medan is one of the regions that will hold the 2020 ELECTION during the pandemic. The Medan City Election has decided that the pair Bobby Nasution and Aulia Rachman have won. This victory certainly gets a variety of comments on social media, especially Twitter. This study conducts sentiment analysis to see the sentiment that occurs, namely seeing negative, positive, or neutral comments. This sentiment analysis uses two methods to see the resulting accuracy, namely Support Vector Machine (SVM) and Naïve Bayes Classifier (NBC). This study also looks at the interactions that occur using Social Network Analysis (SNA). In addition to sentiment analysis and SNA, this study also looks at the existence of BOT accounts used in the #PilkadaMedan. The results obtained from the sentiment analysis show that NBC has the highest accuracy, which is 81, 72% with a data proportion of 90:10. Then on SNA, the @YanHarahap account got the highest nodes, namely 911 nodes. Then from 10326 tweets, 11% were suspected of being BOT by the DroneEmprit Academic system.
Investigation of The Effect of Data Normalization on Classification and Feature Selection in Intrusion Detection System Polatgil, Mesut
The Indonesian Journal of Computer Science Vol. 11 No. 1 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i1.3028

Abstract

The increasing use of the internet and the developments in the world of informatics have brought security problems together. Hardware and software known as Intrusion Detection System aim to detect attacks from the outside world and protect the system from them. These systems need to be fast and intelligent. Establishing intelligent systems for IDS requires data collection, processing and establishment of models in this area. It is very important to pre-process the collected data and select the necessary attributes. The fact that there are many feature selection methods and data preprocessing steps raises the question of which of these should be used and even which of these combinations of options would be better. Although there are studies on selecting the required features or on different normalization methods, there is no study that applies them together on IDS systems. This study was carried out for this purpose. With the study performed on the Kddcup99 dataset, 4 different normalization and 4 different feature selection methods were evaluated together. In this context, 20 different datasets were created and K nearest neighbor, Artificial Neural Networks and Random Forest algorithms were applied to each of them. When the results obtained are evaluated together with the normalization methods and feature selection methods, it has been shown that ideal features that produce successful results for IDS can be found
Implementasi Metode MOORA Penentuan Pusat Perbelanjaan Terbaik Di Riau Hardianto, Roki; Yunefri, Yogi; Wirdahchoiriah; Wiza, Fana; Filtri, Heleni
The Indonesian Journal of Computer Science Vol. 11 No. 1 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i1.3029

Abstract

This research has motivated by an increasing number of shopping centers that appear in the community with various offers and products. The quality of mall services and facilities determines the target audience in measuring the quality of shopping centers. The purpose of this research is to help developers improve the quality of services and more. Therefore, a Decision Support System is needed to assist the assessment process using five alternatives and seven criteria. The method used is Multi-Objective Optimization on the Ratio Analysis (MOORA) basis. The results showed that the Living World mall was chosen as the best mall in the city of Pekanbaru with a final point of 3.17.
Implementation of Blended Learning in Higher Education during the COVID-19 Outbreak Fiandra, Yudha; Giatman, Muhammad; Effendi, Hansi; Muskhir, Mukhlidi; Billet, Stephen
The Indonesian Journal of Computer Science Vol. 11 No. 1 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i1.3031

Abstract

In the current COVID-19 transition period, effective learning model innovations are needed in all fields of education, especially higher education. This study aims to empirically verify the blended learning model applied in higher education during the covid 19 pandemic. Systematic iterature review and Meta-Analysis (PRISMA) were used as methods to conduct this research. The articles reviewed were 30 latest articles from 2019 to 2021. All articles were classified by author, year of publication, type of journal or conference, research methods used and supporting applications used in developing blended learning models. The results of the study are presented as follows. The results of the study found that the use of Moodle in the blended learning model is the most widely used in higher education today. The results of the study also prove an increase in the number of articles published from 2019 to 2020 and the most widely used research method in the current blended learning development model is literature review.
Penerapan Metode Fuzzy Service Quality Untuk Menganalisa Kualitas Layanan Dan Produk Terhadap Kepuasan Pelanggan Pemasang Iklan Pada Koran Harian Kompas Ngirfani, Muhammad; Purnia, Dini Silvi
The Indonesian Journal of Computer Science Vol. 11 No. 2 (2022): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v11i2.3032

Abstract

Kompas Daily Ads is a company engaged in the field of advertising services published in the Kompas Daily Newspaper. Advertising is a form of message to visit and provide information on goods or services. The current condition of the Covid-19 pandemic is a big challenge for Kompas Daily Ads to maintain the company's economy. One way that can be done is by paying attention to the quality of services and products to customers. Every customer certainly wants to get optimal service quality according to their expectations. Therefore, it is necessary to measure to determine the level of satisfaction felt by customers. Measurements were made using the Fuzzy Service Quality approach to determine perceptions and expectations based on five servqual dimensions, namely Tangible, Reliability, Responsiveness, Assurance, and Empathy. From the results of data processing, it is known that the attributes that need to be prioritized for improvement are the Reliability dimension on attribute 1: knowledge, and good development in serving customers with a gap value of -10.69. While the smallest gap value as an attribute with the best assessment by the seller is the Tangible dimension on attribute 4: The durability of advertisements printed on newspapers with a value of -2.22.

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