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Contact Name
Ai Munandar
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ijitcsa@gmail.com
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+62+6282111152015
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International Journal of Information Technology and Computer Science Applications (IJITCSA) Sekretariat Jejaring Penelitian dan Pengabdian Masyarakat (JPPM) : Ranau Estate Blok D.3, Kel. Panggungjati, Kp. Pantogan Kec. Taktakan - Kota Serang, Provinsi Banten, e-mail : jitcsa@jejaringppm.org web : www.jejaringppm.org
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Banten
INDONESIA
International Journal of Information Technology and Computer Science Applications (IJITCSA)
ISSN : 29643139     EISSN : 29855330     DOI : https://doi.org/10.58776/ijitcsa.v1i2
he Journal of Information Technology and Computer Science Applications (JITCSA) is an information technology and computer science publication. Applications from both fields for solving real cases are also welcome. JITCSA accepts research articles, systematic reviews, literature studies, and other relevant ones. Several fields of science that are the focus of JITCSA include information technology and the like, computer science fields, including artificial intelligence, data science, data mining, machine learning, deep learning, and the like. IJITCSA is published three times a year, in January, May, and September. The first issue in January 2023 had eight articles. Focus and Scope International Journal of Information Technology and Computer Science Applications includes scholarly writings on scientific research or review, pure research, and applied research in the field of computer science, information systems, and information technology as well as a review-general review of the development of the theory, methods, and related applied sciences. Information systems System Software Artificial Intelligence Computer Architecture Distributed Systems System & Software Engineering Genomics & Bioinformatics Internet and Web AI & Expert systems Software Process and Life Cycle Database Systems Software Testing & Quality assurance Bioinformatics Information Technology Implementation Computing Languages & Algorithms E-commerce & M-Commerce Computer Networks & Communications Computing Systems Control Systems & Engineering Systems Engineering System Security Digital Forensics Data Mining & Machine Learning Data Modeling
Articles 6 Documents
Search results for , issue "Vol. 1 No. 2 (2023): May - August 2023" : 6 Documents clear
Decision Support System for Teacher Performance Assessment Using the Weighted Product Method Karyaningsih, Dentik
International Journal of Information Technology and Computer Science Applications Vol. 1 No. 2 (2023): May - August 2023
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1558.347 KB) | DOI: 10.58776/ijitcsa.v1i2.21

Abstract

The quality of teachers can be seen from the results of their performance assessment whether they have increased or vice versa. Therefore, an objective performance appraisal system is needed, in addition to reviewing performance results, the assessment system can also be a reference for determining the best teacher, so that teachers are more motivated in teaching. In making decisions on teacher performance evaluation at Pelita Insani Special Schools, they still experience problems when the process is done manually and the assessment system is less objective. So we need a Decision Support System that can produce the best alternative, can be done automatically and objectively. Practitioners This study produced a web-based decision support system that can provide alternative decision-making for school principals based on teacher performance results. By using the Weighted Product method. There are six criteria, namely: learning planning, implementing learning, assessing learning outcomes, training and guiding, additional assignments, and developing professional activities, then processed with data on teacher performance results with this method and produces teacher rankings which can be recommendations for decision making for school principals
Challenges and Strategies for Inventory Management in Small and Medium-Sized Cosmetic Enterprises: A Review Kittisak, Arthit
International Journal of Information Technology and Computer Science Applications Vol. 1 No. 2 (2023): May - August 2023
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (643.114 KB) | DOI: 10.58776/ijitcsa.v1i2.30

Abstract

This research paper presents a case study analysis of the inventory management challenges faced by small and medium-sized cosmetic enterprises (SMEs) and the strategies employed to overcome them. The study was conducted through qualitative research methods, including in-depth interviews with managers of SMEs in the cosmetics industry. The findings revealed that the major challenges faced by SMEs in managing their inventory were poor demand forecasting, inadequate storage facilities, and lack of efficient inventory control systems. To mitigate these challenges, SMEs employed strategies such as outsourcing inventory management, adopting technology-driven inventory control systems, and establishing efficient supply chain networks. The study concludes that effective inventory management is crucial for the success of SMEs in the cosmetics industry, and the strategies identified in this study could be useful for practitioners seeking to improve their inventory management practices.
Business Intelligence (BI) System for Budgeting and Customer Satisfaction Chi, Aung Nay
International Journal of Information Technology and Computer Science Applications Vol. 1 No. 2 (2023): May - August 2023
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1136.928 KB) | DOI: 10.58776/ijitcsa.v1i2.31

Abstract

This research is about a casino company that wishes to use Business Intelligence (BI) system to solve their budgeting problems while attracting customers. They provided the dataset required to analyse their two casino branches and find what actions that they need take, with the help of visualizations. After analysing the visualizations, it was clear that there were many machines that their customers are not found of and that video machines are the most popular among the three types of machines. The least played type of machine was vpoker and only two manufactures provide them with the machines. The likely reason for people do not playing vpoker is that it requires mental strength and mathematics. It was also clear that customers come to the casinos in April, possibly due to holidays. With the help of new technologies, they can gather more information from their customers, without upsetting them and increasing the security to prevent vandalism and destruction of property by angry customers.
Business Intelligence (BI) Approach for Traffic Accidents Analysis Madnira, Shujana
International Journal of Information Technology and Computer Science Applications Vol. 1 No. 2 (2023): May - August 2023
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1763.07 KB) | DOI: 10.58776/ijitcsa.v1i2.32

Abstract

‘FLCRASH’ is the data source used for this report that consists of crash data from the year 2008 to 2009. The purpose of this report is to find ways to reduce the number of fatal accidents on the road by identifying the main culprits on why these accidents happen so frequently. Business intelligence is used in the process of finding the relationships and trends in the major causes of the crashes. The technologies related to Business Intelligence that will help in aiding the organization to their goal are also discussed along with the supporting factors for the use of Business Intelligence for the organization. A dashboard has been created from various graphs and charts for easy viewing and understanding of the situation so logical decisions can be made based on it. This report seeks to help us better understand the nature of why traffic accidents happen in the first place and how to prevent them from happening in the future.
Comparative Study of Classification Algorithms for Customer Decisions on Telecommunication Products Using Supervised Learning Kristian Vieri, Jhon; Munandar, Tb Ai; Srisulistiowati, Dwi Budi; Handayani, Dwipa; No’eman, Achmad; Sri Lestari, Tyastuti
International Journal of Information Technology and Computer Science Applications Vol. 1 No. 2 (2023): May - August 2023
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (801.899 KB) | DOI: 10.58776/ijitcsa.v1i2.34

Abstract

Customers are the main goal of all business fields, without customers the company will not be able to continue or compete in the business field it is in, even though the company has brilliant products, if it does not have an increase in the number of customers the business will not be able to develop or even go bankrupt. Therefore, it is necessary to make observations and make applications that are able to predict customers who will subscribe so that companies can predict customers who will subscribe correctly without having to wait for confirmation from customers whose possibilities are still unknown. This can be very useful for any company because companies no longer need to look for random customers where it only takes time to find customers. PT. Telekomunikasi Indonesia with its product (Indihome) which is struggling to compete in the business world in the telecommunications and internet sector. Therefore research and development of this application are carried out so that PT. Indonesian telecommunications can get its customers quickly without having to spend a lot of money and effort. Making this application uses a classification method from machine learning technology based on customer historical data. The classification method has many strong algorithms for predicting variables that have more than 1 label. Some of the algorithms used are Logistic Regression, Random Forest Classifier, Support Vector Machine and Decision Tree which are provided by modules in the python programming language, namely SkLearn. The four algorithms will be tested with data balanced using the Oversampling method from the Smote algorithm to get optimal results in automatically predicting customers.
Using the Service Quality approach, an analysis of customer satisfaction in early childhood education at Bina Mulia Muhammad Khaerudin
International Journal of Information Technology and Computer Science Applications Vol. 1 No. 2 (2023): May - August 2023
Publisher : Jejaring Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1870.294 KB) | DOI: 10.58776/ijitcsa.v1i2.35

Abstract

Kindergarten is an early childhood education facility, Bina Mulia Cibitung strives to attract and keep clients, specifically parents and guardians of students, by raising the standard of service in all areas. Increased customer satisfaction and trust, in this example from the person or guardian of pupils, are anticipated benefits of better service quality. Customers will be satisfied when their needs, wants, and expectations are met or exceeded during a transaction, leading to continued loyalty. Customer satisfaction is defined by research in this paper as a customer's reaction to a difference between the prior degree of importance and the actual performance he perceives after use. A service quality technique is used to gauge how satisfied customers are (customer satisfaction). This strategy makes use of a questionnaire as a tool to help determine what the customer's expectations are as well as their desires and impressions. Additionally, the difference between expectations and perceptions is used to gauge the quality of a service. Customer impressions of the service they actually receive and the service they expect can be compared to determine service quality.

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