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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 6 Documents
 1 
Search results for , issue "Vol 6, No 3 (2022): November 2022" : 6 Documents clear
Usability Evaluation in Knowledge Management System (KMS) Using System Usability Scale (SUS) Method Mahdiyah Afifah Sari; Ken Ditha Tania
The IJICS (International Journal of Informatics and Computer Science) Vol 6, No 3 (2022): November 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v6i3.4244

Abstract

An unattractive system interface and the lack of user motivation in using the Knowledge Management System (KMS) is one of the reason why usability testing is needed. Usability testing aims to determine the usability of the system, whether the system is in accordance with the purpose of its application. Usability Testing will uses System Usability Scale (SUS) method which involves users in the test. The results of this study are usability scores and recommendations for improvement that have been developed using the prototyping method based on the results of problem identification. For the problem identification, researcher will uses interview technique with 5whys method. After all, the score results is 80.25 for prototype of system improvement. This research can be used as a reference in the development of the system later
WASPAS Implementation on Digital Talent Scholarship Selection Muhammad Dahria; Saiful Nur Arif; Badrul Anwar
The IJICS (International Journal of Informatics and Computer Science) Vol 6, No 3 (2022): November 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v6i3.5166

Abstract

Digital transformation also greatly influences the direction of economic development in Indonesia. This has an impact on the increasing need for IT experts, especially in the programming field. However, the number of skilled and reliable human resource programmers in Indonesia is still very small and has not been able to meet the demands of the digital industry. Therefore, information technology and decision support systems are needed as a tool to determine the selection of qualified junior mobile programming talent. As in previous research, a decision support system is a system specifically designed for the decision-making process on semi-structured and unstructured problems. In order for the purpose of the decision support system to be realized properly, it is assisted by using one of the methods in the decision support system, namely the WASPAS method which is a combination of the WSM and WPM methods. This method can be used to solve MCDM (Multi Criteria Decision Making) problems
Implementation of e-Reports as a Means of Complaints for the Society Yuliadi Yuliadi; Mohammad Taufan Asri Zaen; Rodianto Rodianto; Chalvin Bebby Febrianto
The IJICS (International Journal of Informatics and Computer Science) Vol 6, No 3 (2022): November 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v6i3.5220

Abstract

Marga Karya Village is one of the villages located in Moyo Hulu District, Sumbawa Regency. The problem in Marga Karya Village is that in serving society complaints it is still manual and not computerized, where people come directly to the village office during working hours. This makes the process of service and delivery of information slow because it is limited by space and time. In fact, several village problems require a quick response and handling. In addition, data collection on public complaints is still recorded in a ledger which is carried out repeatedly. Based on these village problems, an e-report is needed as a means of reporting public complaints and making it easier for village office staff to record and process complaints as well as a means of conveying information regarding complaints that have been executed by the village. The e-report for Marga Karya Village was built using the prototype development method, and the system design used the Unified Modeling Language (UML). E-Lapor consists of 2 (two) user groups, namely the society and village officials. Residents will be able to access features in the form of Village Profiles, Reports, Report Status, Gallery, Contacts and Login. Meanwhile, village officials will be able to access the Complaints feature, Manage Complaints, Complaint Reports and User Data. . With e-Report, it facilitates communication between residents and the village in the service of complaining about the condition of village facilities without time and space limits
Teachable Machine: Real-Time Attendance of Students Based on Open Source System Edwin Ariesto Umbu Malahina; Ryan Peterzon Hadjon; Franki Yusuf Bisilisin
The IJICS (International Journal of Informatics and Computer Science) Vol 6, No 3 (2022): November 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v6i3.4928

Abstract

The utilization of open source-based services will be very useful, simplifying and accelerating the process of object recognition and complex computational processes, one of them uses the Teachable Machine service. Identification of student faces in real-time attendance is a case study that will be applied to students to recognize and identify accurately and clearly the presence of students during online / offline lectures, by applying Teachable Machine services that have good algorithms with a machine learning approach that utilizes the Tensorflow.js library where the training data testing uses Convolutional Neural Network (CNN). Of the objects identified, the average accuracy of all classes ranged from 91-100%, with the number of samples for each object class being 23 objects or more. Number of sample images in one class. Clothing, object background and lighting intensity around the image object are also very influential in determining the accuracy value of student face recognition later, so that the use of the tensorflow.js library that implements Convolutional Neural Network (CNN) will be very helpful in facial recognition and influencing factors so that the data entered later needs to be further corrected and improved again, so that the results obtained in implementing the online attendance system have been very helpful in detecting student faces with an average accuracy rate of 91.8%
Identification of Freshwater Fish Types Using Linear Discriminant Analysis (LDA) Algorithm Rini Nuraini
The IJICS (International Journal of Informatics and Computer Science) Vol 6, No 3 (2022): November 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v6i3.5565

Abstract

Fish as aquatic animals have several physiological mechanisms that land animals do not have. Differences in habitat cause fish to adapt to environmental conditions, for example as animals that live in water, both in fresh and marine waters. The number of species or types of freshwater fish means knowledge of the types of freshwater fish. Identification of freshwater fish images is useful for the community, because the types of freshwater fish have different nutritional content, prices and processing for each type. Likewise for cultivators, identification of freshwater fish species can be useful for providing fish handling and management because each fish has a different cultivation method. The purpose of this study was to identify freshwater fish species using the Linear Discriminant Analysis (LDA) algorithm based on color feature extraction using HSV. The LDA algorithm has the ability to reduce dimensions by dividing data into several groups by maximizing the distance between groups that are different or more. To make the identification process easier, color feature extraction with HSV can be used to extract a variety of information from the color in the image. Based on the results of the accuracy test, it produces a value of 84.5%, which is included in the good category.
Implementation of Multi-Objective Optimization on The Basis of Ratio Analysis (MOORA) Method in Determining The Best Employees Yuyun Dwi Lestari; Arief Budiman; Dedy Irwan; Anggi Hanafiah
The IJICS (International Journal of Informatics and Computer Science) Vol 6, No 3 (2022): November 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/ijics.v6i3.5606

Abstract

Employees are one of the wealth owned by the company. Employees are also able to advance the company and benefit the company if the employee has good performance. Therefore, decision makers in the company must determine the best employees in order to motivate their employees to work well. Decision makers are often faced with difficulties in decision making with so much data. To avoid this, a decision support system can be used with the method of MULTI-OBJECTIVE OPTIMIZATION ON THE BASIS OF RATIO ANALYSIS (MOORA) which can help determine the best employees by using predetermined criteria and weights. The criteria used are attendance, letter of reprimand, appreciation, responsibility and timely reporting of duties. This Moora method can help users in determining the Best Employees with optimization values based on these criteria.

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