IJISTECH
IJISTECH (International Journal of Information System & Technology) has changed the number of publications to six times a year from volume 5, number 1, 2021 (June, August, October, December, February, and April) and has made modifications to administrative data on the URL LIPI Page: http://u.lipi.go.id/1492681220 IJISTECH (International Journal Of Information System & Technology) is a peer-reviewed open-access journal published two times a year in English-language, provides scientists and engineers throughout the world for the exchange and dissemination of theoretical and practice-oriented papers dealing with advances in intelligent informatics. All the papers are refereed by two international reviewers, accepted papers will be available online (free access), and no publication fee for authors. The articles of IJISTECH will be available online in the GOOGLE Scholar. IJISTECH (International Journal Of Information System & Technology) is published with both online and print versions. The journal covers the frontier issues in computer science and their applications in business, industry, and other subjects. Computer science is a branch of engineering science that studies computable processes and structures. It contains theories for understanding computing systems and methods; computational algorithms and tools; methodologies for testing of concepts. The subjects covered by the journal include artificial intelligence, bioinformatics, computational statistics, database, data mining, financial engineering, hardware systems, imaging engineering, internet computing, networking, scientific computing, software engineering, and their applications, etc. • 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
Articles
14 Documents
Search results for
, issue
"Vol 9, No 1 (2025): The June Edition"
:
14 Documents
clear
<![CDATA[The Development of a Web Profile System for SMK N 1 Singingi Hilir Using the Prototyping Method ]]>
<![CDATA[Sucinta, Hanny Handayani]]>;
<![CDATA[Mahmuda, Muhimmatul]]>;
<![CDATA[Mujahidah, Latifatul]]>;
<![CDATA[Sugiantoro, Bambang]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 9, No 1 (2025): The June Edition ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.30645/ijistech.v9i1.395
<![CDATA[The development of a web-based information system for the school profile is a strategic step in improving the accessibility of information and interaction between the school and the community, particularly prospective students and parents. This study aims to develop a web profile system for SMK N 1 Singingi Hilir by applying the Prototyping method, so that the system can be developed based on user feedback during the design process. This system presents comprehensive information about the school profile, expertise programs, facilities, student activities, and other important information. With the Prototyping approach, system development is carried out iteratively by building an initial prototype, which is then improved based on user evaluations. The result of this development is expected to enhance school promotion as well as transparency and efficiency in delivering information.]]>
<![CDATA[Analysis of The Influence of Lack of Cellular Network on The Quality of Education in Schools in Long Gelawang Village ]]>
<![CDATA[Jemeq, Margareta]]>;
<![CDATA[Rangan, Andi Yusika]]>;
<![CDATA[Khair, Ahmad Abul]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 9, No 1 (2025): The June Edition ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.30645/ijistech.v9i1.389
<![CDATA[Cellular networks are one of the supporting factors in implementing learning activities, especially in the digital era which requires connectivity to access information and online learning technology. However, not all areas in Indonesia have adequate network infrastructure, including Long Gelawang Village. This study aims to analyze the impact of limited cellular networks on the quality of education in the area. The quantitative approach was used with descriptive statistical methods and Spearman correlation tests. Data were obtained from 55 respondents consisting of students and teachers through questionnaires and interviews. The results of the normality test showed that the data were not normally distributed, so non-parametric analysis was used. The results showed that the relationship between network limitations and education quality was very weak (ρ = 0.143) and not significant (p = 0.299). This means that network limitations do not directly impact the quality of education. Local efforts such as the use of printed teaching materials, hands-on learning, and parental and community involvement help maintain the continuity of education. These findings emphasize that improving the quality of education in remote areas depends not only on technology, but also on a collaborative and locally based approach.]]>
<![CDATA[Image Feature Extraction for Determining the Ripeness Level OF Oil Palm Fruits Using the K-Nearest Neighbor Algorithm Based on Color Features (Case PTPN IV Aceh Utara) ]]>
<![CDATA[Sudarti, Atrida]]>;
<![CDATA[Ula, Munirul]]>;
<![CDATA[Fajriana, F]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 9, No 1 (2025): The June Edition ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.30645/ijistech.v9i1.391
<![CDATA[The availability of oil palm fruits at the appropriate ripeness level is crucial to achieving optimal oil production. Farmers often struggle to accurately determine fruit ripeness, resulting in inconsistent quality and reduced efficiency. This study aims to develop a classification system to determine the ripeness level oil palm fruits using the K-Nerest Neighbor (K-NN) algorithm based on color features extracted from fruits image. Color is a key indicator of maturity and directly influences oil yield. The data was collected through image acquisition and direct observation at the Cot Girek Palm Oil Mill (PKS) of PTPN IV, Aceh Utara. Image preprocessing was carried out to enhance and nomalize the data before feature extraction. The extracted color features were then used to classify the fruits into ripe and unripe categories using the K-NN algorithm. The results show that K-NN successfully classifies the ripeness level of oil palm fruits with an accuracy of 72.80%. This system provides a recommendation for fruit feasibility before processing, helping reduce production losses caused by immature or overripe fruits. Overall, this research contributes to improving decision-making in the palm oil industry through the application of image processing of machine learning techniques.]]>
<![CDATA[The Influence of Ease of Use and Utilization of the E-Stock Application on the Effectiveness of the Learning Process Using the EUCS Method (Case SMKN 10 Samarinda) ]]>
<![CDATA[Mumek, Trifena Oliviana]]>;
<![CDATA[Yunita, Y]]>;
<![CDATA[Yulindawati, Y]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 9, No 1 (2025): The June Edition ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.30645/ijistech.v9i1.388
<![CDATA[The management of inventory items in vocational school environments often faces administrative challenges, such as manual record-keeping that is prone to errors and process delays. SMKN 10 Samarinda implemented the E-Stock application as an information system solution to address these issues. This study aims to evaluate user perceptions of the ease of use and utilization of the E-Stock application, as well as its impact on the effectiveness of use in school operational activities and in supporting the efficiency of the learning process, which depends on the availability of facilities and infrastructure. This research employs a descriptive quantitative approach, with data collected through a closed-ended questionnaire distributed to nine active respondents. The instrument consists of 18 statements representing three main variables: ease of use, utilization, and effectiveness. Each item was rated using a Likert scale ranging from 1 to 5. Data were analyzed descriptively using SPSS to obtain the average score for each variable studied. The analysis results show that ease of use received an average score of 4.37, utilization scored 4.40, and effectiveness scored 4.28. All three scores fall into the high category, indicating that users have a very positive perception of the application. Based on these results, it can be concluded that the E-Stock application has met user expectations in supporting work efficiency and school administration, as well as contributing to the smooth running of the learning process through improved inventory management. This study also affirms that evaluation models such as EUCS are relevant to be used in the context of educational information systems.]]>
<![CDATA[Evaluating Urban Green Space Dynamics in Makassar City Through NDVI-Based Analysis of Sentinel-2 Imagery ]]>
<![CDATA[Edra, Anggun Purnama]]>;
<![CDATA[Azzahra, Cantika]]>;
<![CDATA[Nurhayati, Shifa]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 9, No 1 (2025): The June Edition ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.30645/ijistech.v9i1.392
<![CDATA[Urban expansion in rapidly growing cities like Makassar has considerable implications for vegetation loss and ecosystem degradation. This study investigates vegetation cover changes in Makassar City by analyzing the Normalized Difference Vegetation Index (NDVI) derived from Sentinel-2 imagery for the years 2020 and 2024. A threshold of NDVI > 0.5 was applied to identify areas classified as dense vegetation. Image pre-processing, NDVI computation, and binary classification were performed to quantify and map vegetation extent. The analysis reveals a noticeable reduction in densely vegetated areas. This study analyzes the changes in vegetation health in Makassar City using the Normalized Difference Vegetation Index (NDVI) for the years 2020 and 2024. The NDVI threshold of >0.5 was used to identify areas of healthy vegetation. The spatial analysis and classification maps reveal a significant decline in vegetated areas, with a decrease from 4,792.93 hectares in 2020 to 1,157.23 hectares in 2024. This trend highlights a substantial reduction in healthy vegetation cover, potentially caused by urban development, land-use changes, and environmental pressures. The findings underscore the need for sustainable land management and green infrastructure policies to mitigate the adverse effects of vegetation loss and promote ecological balance in urban areas.]]>
<![CDATA[Application of The Eoq Model to Web-Based Inventory Control Application In Companies ]]>
<![CDATA[Yurindra, Y]]>;
<![CDATA[Wijaya, Benny]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 9, No 1 (2025): The June Edition ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.30645/ijistech.v9i1.397
<![CDATA[Inventory of goods is one of the important components in a company. Problems occur in the management of companies that still use a manual system, so that companies have difficulty determining the stock of updated goods, recaping incoming and outgoing goods, and making routine reports. This will affect the next inventory planning and the company makes inventory with estimated needs or when goods run out without being known. To overcome this problem, an application is needed that can manage the company's inventory of goods. This study uses object-oriented methods and prototyping models. Accompanied by an inventory planning calculation model using the Economic Order Quantity model. In its design, it uses a unified modelling language, encoded with the PHP programming language, and tests are carried out with black-box testing. Inventory control applications built on the web by implementing Economic Order Quantity as inventory planning can run well, so that companies can use them to overcome inventory management and planning problems.]]>
<![CDATA[Customer Loyalty Classification With Random Forest Algorithm ]]>
<![CDATA[Sari, Anggi Puspita]]>;
<![CDATA[Noviriandini, Astrid]]>;
<![CDATA[Fauziah, Sifa]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 9, No 1 (2025): The June Edition ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.30645/ijistech.v9i1.393
<![CDATA[Customer loyalty is very important for the survival of the company. Because with customers who have customer loyalty, they will make purchases regularly. Customer loyalty needs to be maintained to increase profits. The method is to classify loyal customers with non-loyal ones, in order to retain loyal customers and set strategies for non-loyal customers. The method used is classification with random forest with cleaning stages that can clean data from noise or empty data or data that does not match, selection that can select some data to be processed for classification, transformation that can change data into two or three formats, classification with random forest with split validation using testing data and training data and with rapidminer software. Evaluation by checking the results of the classification with random forest in the form of accuracy, precision, recall, and AUC. The results of the classification show from the accuracy table that the prediction of loyal and true loyal customers is 129 more than the prediction of not loyal and true not loyal customers which is 32. The accuracy result is 96.41% which shows that the data is really accurate with very high results. The recall result is 98.47%, while the precision result is 96.99%.]]>
<![CDATA[Performance Evaluation Of SVM With Parameter Optimization On Credit Card Fraud Data Subset Using SMOTE ]]>
<![CDATA[Mahardika, Ahmad Farrel]]>;
<![CDATA[Fahrezi, Irza Nuzul]]>;
<![CDATA[Alleredha, Muhammad Hadya]]>;
<![CDATA[Amaliah, Khusnatul]]>;
<![CDATA[Rofianto, Dani]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 9, No 1 (2025): The June Edition ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.30645/ijistech.v9i1.398
<![CDATA[This study evaluates the performance of the Support Vector Machine (SVM) algorithm in detecting credit card fraud by overcoming the class imbalance problem using the Synthetic Minority Oversampling Technique (SMOTE) technique and parameter optimization through Grid Search. The dataset used is sourced from Kaggle, consists of 10,001 transactions, and has been balanced. SMOTE is applied exclusively to the training data to prevent data leakage. The optimization process produces the best parameters at a value of C = 10 and gamma = 0.1. Model evaluation is carried out using recall, precision, F1-score, and AUC-ROC metrics. The results show a significant increase in performance in recognizing fraudulent transactions. The final model recorded a recall of 0.68, precision 0.90, F1-score 0.77, and AUC-ROC 0.98. These findings prove that the combination of SMOTE techniques and parameter optimization can improve the effectiveness of SVM in classifying minority classes more accurately. This approach is considered to have great potential to be applied in automated fraud detection systems in the financial sector.]]>
<![CDATA[Design And Construction of Simpang Empat Village Public E-Service Using Mobile-Based Extreme Programming Method ]]>
<![CDATA[Zoelkifli, Mayang Zahra]]>;
<![CDATA[Samsudin, S]]>;
<![CDATA[Santoso, Heri]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 9, No 1 (2025): The June Edition ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.30645/ijistech.v9i1.394
<![CDATA[The E-Community Services application is a website and Android-based application that can be used to overcome several problems in community affairs in the Simpang Empat Village government. Some of the matters that can be handled using this application are Single NA Management Letters, Divorce/Death NA Management Letters, Business License Letters and various other letters. This E-Community Services application also provides security and infrastructure features for the community. The type of research used by the author in this research is Qualitative Research and the System Development Method used is the Extreme Programing (XP) method. With data collection techniques consisting of Observation, Interviews and Literature Study. The E-Community Services application that was built has succeeded in helping to overcome various problems in the Simpang Empat Village government. The results of system testing also obtained very good results, so it can be concluded that the system is running well according to the results of the testing and validation that has been carried out.]]>
<![CDATA[Web-Based Material Inventory Information System For ALAR Welding Workshop ]]>
<![CDATA[Probonegoro, Wishnu Aribowo]]>;
<![CDATA[Sari, Lili Indah]]>
<![CDATA[ IJISTECH (International Journal of Information System and Technology) Vol 9, No 1 (2025): The June Edition ]]>
Publisher : <![CDATA[Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.30645/ijistech.v9i1.399
<![CDATA[The ALAR welding workshop is a welding industry that welds various types of metal using various methods and techniques. Material inventory is crucial in this business. Currently, material inventory recording is still done manually, resulting in frequent data errors, information delays, and difficulties in tracking inventory, as it is still manually calculated. Given these issues, the author designed and built a web-based material inventory information system to help manage material stock effectively and accurately. This system replaces error-prone manual processes and improves operational efficiency at the ALAR welding workshop. The method used in this study is the waterfall method because it has a step-by-step design process, namely needs analysis, system design, implementation, testing, and system maintenance. The research results show that the developed information system can facilitate workshop staff in recording, monitoring, and reporting material inventory in real time. This system also improves data accuracy, time efficiency, and supports owners in making faster decisions in the material procurement process, because it is supported by actual and well-documented data. Therefore, this web-based inventory information system can be an effective solution for material management at the ALAR Welding Workshop.]]>
