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IJISTECH (International Journal Of Information System & Technology)
Published by STIKOM Tunas Pematang Siantar
ISSN : 25807250     EISSN : -     DOI : -
Core Subject : Science,
Computer Science & IT
IJISTECH (International Journal Of Information System & Technology) is published with both online and print versions. The journal covers the frontier issues in the computer science and their applications in business, industry and other subjects. The 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.
Arjuna Subject : -
Articles 394 Documents
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Performance Evaluation Of SVM With Parameter Optimization On Credit Card Fraud Data Subset Using SMOTE Mahardika, Ahmad Farrel; Fahrezi, Irza Nuzul; Alleredha, Muhammad Hadya; Amaliah, Khusnatul; Rofianto, Dani
IJISTECH (International Journal of Information System and Technology) Vol 9, No 1 (2025): The June Edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v9i1.398

Abstract

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.
Design And Construction of Simpang Empat Village Public E-Service Using Mobile-Based Extreme Programming Method Zoelkifli, Mayang Zahra; Samsudin, S; Santoso, Heri
IJISTECH (International Journal of Information System and Technology) Vol 9, No 1 (2025): The June Edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v9i1.394

Abstract

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.
Analysis of Swiftlet Nest Quality In Relation to Price using the Sugeno Method Lubis, Fitri Handayani; Sitorus, Zunaida
IJISTECH (International Journal of Information System and Technology) Vol 8, No 6 (2025): The April edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i6.386

Abstract

Many swiftlet nest entrepreneurs in Pangkalan Lunang Village lack a comprehensive understanding of how to assess the quality of swiftlet nests. In fact, nest quality is influenced by various factors, including cultivation techniques, environmental conditions, and post-harvest handling. This lack of knowledge often leads to challenges in maintaining product quality, ultimately affecting selling prices and market competitiveness. Given this situation, it is essential to conduct an in-depth analysis of how nest quality influences its market value. This study employs the Fuzzy Sugeno method to help swiftlet business owners gain a clearer understanding of the relationship between quality parameters—such as color, humidity, shape, and cleanliness—and the selling price. The findings indicate that these quality attributes significantly impact the selling price; the higher the quality, the greater the market value. This emphasizes the importance of adopting best practices in cultivation and post-harvest management to enhance nest quality, meet consumer expectations, and ultimately increase profitability and competitiveness in the market.
Evaluation of the New Student Admission Website of STMIK Widya Cipta Dharma Using the End-User Computing Satisfaction Method Damaya, Filio Angga; Pratiwi, Heny; Yunita, Y
IJISTECH (International Journal of Information System and Technology) Vol 8, No 6 (2025): The April edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i6.381

Abstract

The New Student Admission (PMB) website is one of the platforms used in the admission and registration process for prospective students at STMIK Widya Cipta Dharma. An evaluation of the PMB website is necessary to ensure user convenience and satisfaction during the registration process. This study aims to evaluate the new student admission website of STMIK Widya Cipta Dharma using the End-User Computing Satisfaction (EUCS) method. The EUCS method consists of five main dimensions: content, accuracy, format, ease of use, and timeliness. Data was collected through questionnaires distributed to registered students, prospective students of STMIK Widya Cipta Dharma, and users of the PMB website. The analysis results indicate user satisfaction in using the PMB website.
The Development of a Web Profile System for SMK N 1 Singingi Hilir Using the Prototyping Method Sucinta, Hanny Handayani; Mahmuda, Muhimmatul; Mujahidah, Latifatul; Sugiantoro, Bambang
IJISTECH (International Journal of Information System and Technology) Vol 9, No 1 (2025): The June Edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v9i1.395

Abstract

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.
Analysis of Fertilizer Requirements in Red Chili Cultivation Using an Artificial Neural Network Approach Marpaung, Mairani; Apdillah, Dicky; Ayyub, Muhammad Azwar Al
IJISTECH (International Journal of Information System and Technology) Vol 8, No 6 (2025): The April edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i6.387

Abstract

Red chili farmers on the East Coast of North Sumatra still rely on manual calculations to determine the use of NPK Biru 16 Mutiara fertilizer, often leading to inaccurate and inefficient fertilizer application. This study proposes the Backpropagation method within Artificial Neural Networks (ANN) as a solution to analyze fertilizer needs more precisely. The method enables the system to learn from historical data and plant growth patterns, providing accurate recommendations for the type and amount of fertilizer required. The implementation of ANN in this context not only enhances agricultural efficiency but also supports environmental sustainability by minimizing excessive fertilizer usage.
Comparison of Naive Bayes and C4.5 Methods with Particle Swarm Optimization on Customer Loyalty Classification Wati, Embun Fajar; Perangin-Angin, Elvi Sunita; Indriyani, Luthfi
IJISTECH (International Journal of Information System and Technology) Vol 8, No 6 (2025): The April edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i6.382

Abstract

The Company attaches great importance to customer loyalty for the sustainability of the Company. Loyal customers will buy many times and provide great profits. In this study, the decision tree method or C4.5 and naïve bayes were used with PSO optimization for customer classification which aims to design a strategy in decision-making towards disloyal customers. Some of the stages carried out are data load into MS. Excel, data cleaning from noise, data selection as many as 238 obtained from previous research with several attributes, including, namely age, annual income, purchase amount, region, purchase frequency, and loyalty score, as well as data transformation, namely each attribute is grouped into 2 with their own criteria, data testing by modeling data through Rapidminer, Data evaluation by examining the values of accuracy, precision, recall, and AUC. Both methods have the same accuracy value of 96.67% and the same recall value of 100%. For the precision value, there is a difference of 0.6% and the precision decision tree value is higher than the naïve Bayes which is 96.16%. As for the AUC value, it is higher naïve bayes, which is 0.922 with the difference from the decision tree of 0.059. It can be concluded that the two methods in processing customer loyalty data in this study have the same accuracy, so both methods are equally good.
Analysis of The Influence of Lack of Cellular Network on The Quality of Education in Schools in Long Gelawang Village Jemeq, Margareta; Rangan, Andi Yusika; Khair, Ahmad Abul
IJISTECH (International Journal of Information System and Technology) Vol 9, No 1 (2025): The June Edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v9i1.389

Abstract

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.
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) Sudarti, Atrida; Ula, Munirul; Fajriana, F
IJISTECH (International Journal of Information System and Technology) Vol 9, No 1 (2025): The June Edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v9i1.391

Abstract

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.
Web-Based Material Inventory Information System For ALAR Welding Workshop Probonegoro, Wishnu Aribowo; Sari, Lili Indah
IJISTECH (International Journal of Information System and Technology) Vol 9, No 1 (2025): The June Edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v9i1.399

Abstract

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.

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