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The IJICS (International Journal of Informatics and Computer Science)
Published by Sekolah Tinggi Manajemen Informatika dan Komputer Budi Darma
ISSN : 25488449     EISSN : 25488384     DOI : https://doi.org/10.30865/ijics
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
The The IJICS (International Journal of Informatics and Computer Science) covers the whole spectrum of intelligent informatics, which includes, but is not limited to : • Artificial Immune Systems, Ant Colonies, and Swarm Intelligence • Autonomous Agents and Multi-Agent Systems • Bayesian Networks and Probabilistic Reasoning • Biologically Inspired Intelligence • Brain-Computer Interfacing • Business Intelligence • Chaos theory and intelligent control systems • Clustering and Data Analysis • Complex Systems and Applications • Computational Intelligence and Soft Computing • Cognitive systems • Distributed Intelligent Systems • Database Management and Information Retrieval • Evolutionary computation and DNA/cellular/molecular computing • Expert Systems • Fault detection, fault analysis and diagnostics • Fusion of Neural Networks and Fuzzy Systems • Green and Renewable Energy Systems • Human Interface, Human-Computer Interaction, Human Information Processing • Hybrid and Distributed Algorithms • High Performance Computing • Information storage, security, integrity, privacy and trust • Image and Speech Signal Processing • Knowledge Based Systems, Knowledge Networks • Knowledge discovery and ontology engineering • Machine Learning, Reinforcement Learning • Memetic Computing • Multimedia and Applications • Networked Control Systems • Neural Networks and Applications • Natural Language Processing • Optimization and Decision Making • Pattern Classification, Recognition, speech recognition and synthesis • Robotic Intelligence • Rough sets and granular computing • Robustness Analysis • Self-Organizing Systems • Social Intelligence • Soft computing in P2P, Grid, Cloud and Internet Computing Technologies • Stochastic systems • Support Vector Machines • Ubiquitous, grid and high performance computing • Virtual Reality in Engineering Applications • Web and mobile Intelligence, and Big Data
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 110 Documents
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Decision Support System In Sous Chef De Partie Selection Using Simple Method Additive Weighting (SAW) (Case Study: Restaurant Goela Batoe) Iwan Setia Budi; Muhammad Syahrizal
The IJICS (International Journal of Informatics and Computer Science) Vol 1, No 2 (2017): September 2017
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (304.36 KB) | DOI: 10.30865/ijics.v1i2.1349

Abstract

The SAW method is also known as the weighted addition method. The basic concept of the SAW method is to find the weighted sum of the performance ratings on each alternative of all attributes. The SAW method requires the decision matrix normalization process (X) to a scale that can compare with all available alternative ratings.
Comparison Analysis with Huffman Algorithm and Goldbach Codes Algorithm in File Compression Text Using the Method Exponential Comparison Abu Sani Tanjung; Surya Darma Nasution
The IJICS (International Journal of Informatics and Computer Science) Vol 4, No 1 (2020): March 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (201.25 KB) | DOI: 10.30865/ijics.v4i1.1387

Abstract

With the development of technology at this time many people know about compression. In simple compression is a process to shrink the file from its original size. At this time compression applications that are often used are WinZip, WinRar, and 7-Zip, namely with the aim of compressing documents and saving space on memory or data transmission. Compressed data can be in the form of images, audio, video and text. The use of the Huffman algorithm and the Goldbach Codes algorithm in compressing text files is intended to provide enormous benefits in the sending and storage process and requires less memory space compared to uncompressed text. The algorithm starts by providing a string of inputs as input, how to produce an algorithm output in the form of a binary string or code that translates each input string, so that the string has a small number of bits compared to strings that are not compressed. Thus, the problem is how to obtain the code with sorted characters and frequency tables as input and shorter binary code as output. In applying the Huffman algorithm and the Goldbach Codes algorithm in compressing text files is very good, the results were not reduced from the original file or there was no reduction
Forecasting Number of Covid-19 Positive Patients in Sorong City Using the Moving Average and Exponential Smoothing Methods Matheus Supriyanto Rumetna; Tirsa Ninia Lina
The IJICS (International Journal of Informatics and Computer Science) Vol 5, No 1 (2021): March 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v5i1.2908

Abstract

Sorong City is a part of West Papua Province, Indonesia. This city is one of the cities which have been affected by the Covid-19. This research attempts to provide a solution for the Sorong City Covid-19 Task Force’s need for forecasting number of potential Covid-19 positive patients in the coming months so that faster treatment could be made. Such need has emerged due to the absence of laboratories and the increasing number of positive Covid-19 patients in the city. The absence of laboratories in the city has made the task force to send samples of presumed Covid-19 patients to the laboratories in Makassar City in order to be examined and tested. This process has been time consuming and further reducing the task force’s already reduced performance effectiveness because of the social distancing policy applied in cities in Indonesia. The forecasting methods utilized in the research were the Moving Average and Exponential Smoothing. The methods were applied using POM-QM Software for Windows Version 5. The results of the Exponential Smoothing method are better than the results of the Moving Average method in forecasting the number of possible Covid-19 patients in July. For August and September forecasts, the results of the Moving Average method are better than the results of the Exponential Smoothing method. The results from both methods could be used as reference by the Sorong City Covid-19 Task Force in making decision and establishing policy.
Augmented Reality-Based Medicine Plants Learning Applications M Julkarnain; Mohammad Taufan Asri Zaen; Nawassyarif Nawassyarif; Yudi Pratama; Yuliadi Yuliadi
The IJICS (International Journal of Informatics and Computer Science) Vol 5, No 2 (2021): July 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v5i2.3157

Abstract

This study aims to design and build learning applications for medicinal plants based on Augmented reality so that they can be used as interactive learning media. The research methods used are qualitative and quantitative methods. Data collection methods used in this study are observation, interview, documentation, questionnaires and literature study and use the Prototype method as a software development method. This Augmented Reality-based medicinal plant learning application was built using the C# and Blender programming language to create 3-dimensional image designs. The result of developing this application is a learning media that can be run on a Smartphone by utilizing interactive Augmented Reality technology. When this application is opened, the main page will appear containing several menus, namely the play, guide, learning, and quite menus. The features contained in Augmented Reality-Based Medicinal Plant Learning, namely the 3D object scan feature, can find out information about plants with scanned images. This application can help people to get to know medicinal plants and their properties. And it can be an effective learning medium. Based on the results of the questionnaire, the application made by the author received a positive response from the respondents, in many category, such as the display, educational, satisfaction, interactive and music
Indonesian Shadow Puppet Recognition Using VGG-16 and Cosine Similarity Ida Bagus Kresna Sudiatmika; I Gusti Ayu Agung Sari Dewi
The IJICS (International Journal of Informatics and Computer Science) Vol 5, No 1 (2021): March 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v5i1.2579

Abstract

Wayang is one of Indonesia's cultural heritages that must be preserved, where puppets have various functions not only as a means of art, Wayang is also used as a means of religious ceremonies in Indonesia. Therefore, It is very important to preserve the wayang tradition, to preserve it and it is well known by the public, especially young people. In this research, to participate in the preservation of wayang, the authors propose a preservation approach using artificial intelligence and web scraping techniques. Artificial intelligence in this case is carrying out the process of recognizing wayang images and finding information from the puppet data. In searching for information, web scraping techniques are used where information is automatically retrieved from the internet. Information obtained from the internet will be processed using the TF-IDF method and cosine similarity. This study uses the CNN architecture on the existing model, namely VGG-16. The training process is carried out with 200 iterations with an accuracy of 89%. The application of the CNN network architecture and web scraping has been successfully applied and will still be developed in the future to obtain maximum results
Analysis of Online Learning Understanding Patterns at Budi Darma University Using the C5.0 Algorithm Firman Telaumbanua; Johanes Mario Purba; Dito Putro Utomo
The IJICS (International Journal of Informatics and Computer Science) Vol 5, No 2 (2021): July 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v5i2.3122

Abstract

Online learning is a learning process that is carried out without face to face, but at a distance that utilizes communication and information technology that utilizes the internet. The emergence of the online learning process provides considerable benefits, both for the manager of the information system and for students and students. Currently, the development of online learning is becoming popular among schools and universities. This is caused by the corona virus or what is often called Covid-19. Covid-19 is one of the viruses that first emerged and developed in China, especially in the city of Wuhan. Initially this virus only infects a few people, but in fact this virus can move places or can be transmitted through direct contact with the sufferer. This virus has infected the whole world so this is an international problem that must be addressed. Various efforts have been made, one of which is in the field of education. The closure of schools and colleges is an effort made to break the chain of development of COVID-19, so that the teaching and learning process is carried out online. In this study, an analysis of student satisfaction assessment will be carried out on the online learning process using the existing methods in data mining. Data mining has several algorithms that are used to solve these problems, one of which is the C5.0 algorithm. The result of this study is to find out the results of the satisfaction assessment of online learning during the Covid-19 pandemic
Design of DSS The Best Employee Performance Using Analytical Hierarchy Process UML Based Rizaldi Rizaldi; Dewi Anggraeni
The IJICS (International Journal of Informatics and Computer Science) Vol 5, No 1 (2021): March 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v5i1.2910

Abstract

Employees are a highly needed human resource. In order to achieve the desired goals, the agency conducts the best performance appraisal of employees. The Analytical Hierarchy Process method is a method for determining criteria and choice alternatives, followed by calculating the eigenvector value and testing its consistency. The application of analytical hierarchical analysis of the best employee performance appraisal process, where the results of this assessment can encourage every employee to give the best performance to the agency. The best employee performance decisions are made at the ambalutu village hall office. There are several criteria for performance appraisal, namely communication skills, honesty, cooperation, and person. Analysis method analytical hierarchy process where each criterion will be assessed in pairs comparison with other criteria to get priority value. In this study the results of the ratio were 0.07, which means that the assessment was consistent because it was less than 0.1, so the percentage of communication values was 40%, honesty 34%, cooperation 17% and personal 10%.
Decision Support System for Appointment Assignment of Honorary Using TOPSIS Method Hariati Husain; Citra Yustitya Gobel; Santawali Santawali
The IJICS (International Journal of Informatics and Computer Science) Vol 5, No 2 (2021): July 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v5i2.3200

Abstract

The Honorary Staff Appointment and Assignment Program initiated by the Education Office of North Gorontalo Regency is one of the regional responses to overcome the shortage of teachers in remote areas and islands [1]. The purpose of this study is to build a decision support systemv that is used to assist the Education Office of North Gorontalo Regency in the process of appointing and assigning honorary staff. This study uses the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. This method is based on the concept that the best chosen alternative not only has the shortest distance from the positive ideal solution, but also has the longest distance from the negative ideal solution. This method is widely used to complete practical decision making [2]. The results of this study are by using the TOPSIS method in a decision support system that can facilitate decision makers related to the issue of the Handling and Assignment of Honorary Personnel at the Education Office of North Gorontalo Regency, especially in the assessment process according to predetermined criteria. The results of this assessment took a sample of 3 honorary candidates with the best score alterative obtained by a total value of 0.74 with the results being accepted as honorary
Implementation of Weighted Aggregated Sum Product Assessment (WASPAS) in Determining the Best Graduates Sonya Malinda Harahap; Iman Judi Tua Situmeang; Siti Hummairoh; Mesran Mesran
The IJICS (International Journal of Informatics and Computer Science) Vol 5, No 1 (2021): March 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v5i1.2848

Abstract

The best graduates are pride or people who are considered capable of selling their soft skills or hard skills after completing their Diploma III (D-III) or Starata 1 (S-1) education. The best graduate degrees selected are obtained from several criteria, such as the Grade Point Average (GPA), Organization, Achievement, Intermediate Semester / Corrective Examination, and Attitude during their education at a university. In determining the best graduate students, sometimes obstacles arise, causing difficulty in determining the best graduates. Therefore, to determine the best graduate, each alternative must have criteria. Which one, Each criterion has a weight that has been determined individually and is carried out by the completion process using the Weighted Aggregated Sum Product Assessment (WASPAS) method for the ranking process. The highest score or ranking will be used as an alternative recommendation that will get the title of the best graduate .
Assessing User Experience of the Online Petition System in Indonesia based on UEQ Ika Nurlaili Isnainiyah; Bambang Triwahyono
The IJICS (International Journal of Informatics and Computer Science) Vol 5, No 2 (2021): July 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v5i2.3195

Abstract

This study analyzes the user experience of online petition system Petisionline.com towards the participatory culture of Indonesian citizens. This participation can be in the form of citizens’ individual opinions to involvement in communities or groups. The user experience analysis in this study refers to the assessment using modified long version of User Experience Questionnaire (UEQ) which consists of six experiences scales, namely attractiveness, perspicuity, efficiency, dependability, stimulation and novelty. Based on the scoring results of 26 items from UEQ, dependability and novelty scale scored the lowest among other scales. Petisionline.com needs to improve the aspects related to both scales to enhance its role in facilitating the participatory culture.

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