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Tri A. Sundara
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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 1,170 Documents
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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.
Design of the Attendance System using RFID and Similarity Metric Learning at Universitas Dinamika Bangsa Toscany, Afrizal; Rahim, Abdul; Bustami, Irwan; Sadikin, Ali
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.v11i1.3033

Abstract

Admission of new students at Universitas Dinamika Bangsa has a significant increase, so that the number of active students on campus becomes more. This has an impact on the recapitulation process of lecture absence by study staff to be longer than before, due to the calculation process that is done manually. This research will create a system designed to increase efficiency in lecture attendance activities by presenting an attendance system equipped with an RFID (Radio Frequency Identification) Reader and camera. In addition to the process of digitization of attendance data will be added similiarity metric learning method for validation of student absences that are done periodically. The method to be used in system development is prototyping. This research resulted in a system design with UML modeling and absentee device design.
Analisa Perbandingan Quality of Service Protokol VPN antara Protokol SSTP Dan Open VPN Berbasis Router Mikrotik Surono; Guntoro Setiaji, Galet
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.v11i1.3034

Abstract

The internet itself is a public network that can connect anyone into a very large network, and of course there are threats of data theft in it, VPN is a communication technology that allows an employee in the office to connect to a public network and use it to join the local network. . The advantage of a VPN is that the data sent via a VPN is encrypted so it is quite safe and the secret is maintained even though it is through the internet network, a comparison analysis of VPN performance between the SSTP (Secure Socket Tunneling Protocol) protocol and the Open VPN protocol will be carried out to determine the Quality Of Service (Qos) performance of both For this protocol, a study is needed to determine the use of the method so as to produce an optimal QOS (Quality of Service)
Implementasi Metode Fuzzy Logic Untuk Aplikasi Diagnosa Penyakit Pencernaan Manusia Kurniawan, Harry; Gustientiedina; Desnelita, Yenny; Gusrianty
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.v11i1.3035

Abstract

The digestive system in humans is one of the vital organs of the body so that the health of the digestive system is very important to maintain. As a result, disseminating information regarding the diagnosis of human digestive disorders is critical in order to determine the sorts of diseases encountered by patients early on. The goal of this study is to design an application that uses an expert system and fuzzy logic to diagnose human digestive illnesses. This expert system can assist in the diagnosis of human digestive disorders and assist doctors in the diagnosis of human digestive diseases in patients. This expert system application uses the System Development Life Cycle (SDLC) for system development and uses the fuzzy logic approach to determine the severity of human digestive illnesses. Whereas, the Forward Chaining method is used for the tracing process that starts from the symptoms of the disease to produce answers to the types of human digestive diseases in the expert system. This research produces an expert system for diagnosing human digestive diseases based on the symptoms found using the fuzzy logic method.
Penentuan Pencemaran Air Menggunakan Metode Self Organizing Maps (SOM) Deni; Midyanti, Dwi Marisa; Hidayati, Rahmi
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.v11i1.3036

Abstract

Water pollution is the entry of a component or substance into water, which causes water quality to decrease. The decrease in water quality causes the water to be unfit and affects the community's health. Therefore, an application for determining the water quality level building using the SOM algorithm with several data input parameters: Fluoride, Hardness, and Nitrite. These parameters use for data clustering in determining clean and polluted water. The SOM algorithm arranges SOM neurons based on the data input values ​​in a SOM cluster. For testing the SOM method on 114 data, the Silhouette Coefficient value was used to find the best number of clusters. Silhouette Coefficient will evaluate clustering the proximity of the distance between data. The test was carried out 27 times with variations of the experiment with the learning rate starting from 0.1 to 0.9 and the number of clusters from 2 to 4 to get the best Silhouette Coefficient value. The result of clustering the best silhouette coefficient value obtained is 0.7276473444141 with 3 clusters and the learning rate of 0.2.
Analisis Penerapan Augmented Reality Sebagai Strategi Pemasaran: Uji Black Box dan Korelasi Kody, Jeffry; Jollyta, Deny; Hajjah, Alyauma; Pratama, Teddy
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.v11i1.3037

Abstract

Traditional marketing no longer ensures greater revenue. Businesses in the advertising industry are also feeling the effects of this circumstance. People with a lot of mobility have less time to go shopping and visit stores. The demand for seeing product designs continues to rise, yet many people are unable to attend in person, resulting in greater time spent at work. Entrepreneurs must alter their marketing strategy to address these issues utilizing technology that is simple to use and available at all times. The goal of this research is to design an Augmented Reality (AR) application that can be used on a smartphone and can process sales via the internet. Black Box, light intensity, and the proper distance are used to create and test applications for functioning so that product photos seem at their best. The existence of the app also generates a strong correlation between customer interest of product and desire to purchase it. This is demonstrated by a correlation test with a value of 0.673191. It is envisaged that the designed application can aid advertising enterprises in enhancing marketing and sales.

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