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INDONESIA
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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The Role of Multimedia in Religious Learning for Students with Disabilities in The Inclusive System (Case Study: Lancang Kuning University) Nijal, Lasri; Zamzami, Z; Siswanto, Didik; Febriadi, Bayu
IJISTECH (International Journal of Information System and Technology) Vol 8, No 4 (2024): The December edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i4.364

Abstract

Lancang Kuning University (Unilak) has committed to the success of the disability-friendly Inclusive Indonesia movement program, by providing opportunities for students with disabilities to study at Lancang Kuning University. Delivering Islamic religious lecture material in inclusion classes requires special attention. So by using qualitative research methods, based on direct observation in the classroom and through journals, guide books and expert information, the use of multimedia is very necessary for inclusive classes. Among the media used for learning Islamic Religious Education are; Two-Dimensional Learning Media such as; powerpoint or slide, whiteboard, module book, three-dimensional learning media such as; Equipment for holding corpses and practicing prayer movements, learning media in the form of applications such as applications that can convert sound into writing. Apart from appropriate learning media and various religion lecturers, they also need to master this multimedia and also need to learn to use sign language for the deaf. For supporting facilities, Unilak has provided all sufficient facilities so that inclusion classes at Unilak run well.
Using of the Waterfall Model in the Development of Herbal Medicine Sales Information System Hidayati, Nur
IJISTECH (International Journal of Information System and Technology) Vol 8, No 4 (2024): The December edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i4.369

Abstract

The increasingly advanced development of technology is currently a challenge for companies to create and develop information systems that are implemented in the company. The use of computers equipped with application programs can help improve company performance, such as in trading companies. Where the sales sector has an important role in increasing the progress of the company, because it is related to the income that the company can obtain. Besides that, sales is also directly related to customers, where good service is very necessary to create customer satisfaction. Therefore, it is necessary to implement a good information system for the sales information system. However, looking at current conditions, there are still many companies or places of business where data processing is still done traditionally. If this continues, it can cause problems that can be detrimental to the company. As for problems that arise, such as data processing which still uses handwriting, this is very prone to recording errors. Besides that, it often happens that sales reports are created that are not the same as existing transactions. These problems should be resolved immediately, by developing the information system. So that companies can survive amidst the current competition. In solving the problem, the right method is needed, such as using the Waterfall model. Where this model is carried out in stages and sequentially. By using the right model, the right program application can be produced, according to what the company needs. So that problems that arise can be resolved well, customers get satisfaction from the services provided and company profits increase.
Accounting Information System For Tailoring Materials At Penjahit Ruslan Using The Accrual Basis Method Sabri, Khairul; Atmaja, Niko Surya; Afrijal, A; Yasdomi, Kiki; Dona, D
IJISTECH (International Journal of Information System and Technology) Vol 8, No 3 (2024): The October edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i3.371

Abstract

Development of an Accounting Information System (AIS) is crucial for enhancing financial management, particularly for micro and small enterprises (MSEs). This study focuses on implementation of a web-based AIS utilizing the accrual basis method at Penjahit Ruslan, a tailoring business encountering challenges in financial transparency, transaction accuracy, and real-time monitoring. The system, constructed using HTML, PHP, and MySQL, facilitates structured data storage, automated financial reporting, and improved decision-making. Through adoption of UML-based system design and rigorous testing methods, including Blackbox Testing and Performance Testing, AIS ensures high reliability and accuracy in financial recording. Findings indicate that transitioning from manual bookkeeping to a digital financial system significantly enhances efficiency, reduces errors, and strengthens financial oversight. This research contributes to broader digital transformation in financial management for small businesses, offering a scalable solution for enterprises confronting similar challenges.
The Application of Customers Segmentation Using RFM Analysis Method and K-Means Clustering to Improve Marketing Strategy Robo, Salahudin; Melani, Putri Indah; Fernatyanan, Patrisia; Widiantoro, Muh Riandi; Bariyyah, Sitti Khairul
IJISTECH (International Journal of Information System and Technology) Vol 8, No 3 (2024): The October edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i3.370

Abstract

This research aims to overcome problems in improving marketing strategies in the Retail Business industry by using effective customer segmentation. The method used is RFM (Recency, Frequency, Monetary) analysis to measure the time proximity, frequency and monetary value of customer transactions, as well as K-Means Clustering to group customers based on their purchasing behavior. The results showed that the combination of these two methods successfully grouped customers into ten different segments, such as “Champions” and “Hibernating,” which provided deep insight into customer needs and behavior. The application of this segmentation provides practical benefits in increasing the efficiency of marketing strategies, customer retention and resource optimization. Overall, this research proves that applied customer segmentation techniques can significantly increase customer satisfaction and loyalty, making a valuable contribution to the field of retail marketing.
Design and Build an E-Commerce Application for Building Materials Using the Web-Based Cross Selling Method Saputri, Indah; Putri, Raissa Amanda; Santoso, Heri
IJISTECH (International Journal of Information System and Technology) Vol 8, No 5 (2025): The February edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i5.374

Abstract

The Building Materials E-commerce application is a digital platform designed to make it easier for consumers to find and buy building materials. This application is designed to help building stores in reaching more customers by offering a variety of building materials through a web-based platform. By using the cross selling method, the app automatically recommends relevant additional products to customers based on the items they choose, thereby increasing the chances of selling related products. The obstacle faced by Nazir Panglong is that there is no special digitalization touch for the products sold and customers have difficulty finding information related to what goods are sold due to the absence of a product catalog. Therefore, the application of building material ecoomerce was designed to overcome this problem. This application offers easy access for consumers and helps businesses in expanding their market reach, making a positive contribution to the development of the building materials industry in the digital era. This research aims to design and build a web-based e-commerce application that specializes in selling building materials, by integrating the cross-selling method as a sales increase strategy. The type of research method used by the author in this study is the Research and Development research method. By using data collection techniques, namely observation, interviews and literature studies. And the system development method used is RAD (Rapid Application Development) which consists of three phases, namely Requitment Planning, Design Workshop and Implementation. The results of the system trial show that the building materials e-commerce application can be implemented in Nazir Panglong to increase transaction value by offering additional products to customers so as to increase sales of goods and make it easier for customers to purchase products.
Combination of Forward Chaining and Certainty Factor Methods In An Expert System for Diagnosis of Cattle Diseases Ramadan, Chafiz; Santoso, Heri; Irawan, Muhammad Dedi
IJISTECH (International Journal of Information System and Technology) Vol 8, No 5 (2025): The February edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i5.375

Abstract

Cows are one of the most widely cultivated livestock animals in Indonesia, especially in the Asahan district alone, according to data from Asahan in Figures for 2022, in Asahan District in 2021 there will be 146,511 heads spread across 25 sub-districts. Cow disease is no longer a strange thing for livestock breeders. The symptoms that appear in cattle must be known as soon as possible before the disease appears with a ferocity that will cause the risk of death in cattle. death in Mr Poniman's cattle. Due to tympanic disease (bloating), at the time of this incident there were still few cows and people did not know how to treat it, so the cows eventually died with enlarged stomachs. With the availability of technology, the author built an expert system for diagnosing cattle diseases that can diagnose cattle diseases and provide treatment suggestions, both medical and natural, using the forward chaining method and certainty factor. Forward chaining first selects facts that are appropriate to the problem that is occurring, and the certainty factor will determine the result of the percentage of confidence of an expert. This system was built based on a website.
Finance Loan Risk Assessment Using Machine Learning for Credit Eligibility Prediction and Model Optimization Mulyanto, Sigit; Yonia, Dwika Lovitasari; Sutejo, Bambang
IJISTECH (International Journal of Information System and Technology) Vol 8, No 5 (2025): The February edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i5.376

Abstract

Finance loans play a crucial role in the global economy, supporting individuals and businesses in accessing capital for investment and financial stability. However, more than 60% of financial institutions struggle with identifying credit risks due to the limitations of traditional assessment models, which fail to capture complex borrower behavior. Additionally, 75% of financial firms have adopted AI-driven credit risk management, yet challenges remain in model validation and decision-making transparency. This study applies machine learning techniques, including Logistic Regression, Decision Tree, Random Forest, and Support Vector Machine (SVM), to enhance loan eligibility prediction. The dataset underwent preprocessing, including handling missing values, feature engineering, and data standardization. Model evaluation used accuracy, precision, recall, and F1-score. Logistic Regression achieved the highest F1-score at 88.6% and recall at 98.6%, while Random Forest recorded the highest precision at 82.3%. Feature importance analysis identified Credit History as the most influential factor, followed by Loan Amount and Total Income. While machine learning improves loan risk assessment, challenges remain in model interpretability. Future research should integrate explainable AI (XAI) and alternative credit scoring factors to enhance model transparency and robustness in real-world applications
Implementation of Data Mining Using K-medoids Clustering Method for Determining Social Assistance Recipients Nurzainun, Ratnasari; Sinawati, S; Prayogi, Denis
IJISTECH (International Journal of Information System and Technology) Vol 8, No 5 (2025): The February edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i5.372

Abstract

Regarding social assistance, the village head, “Lurah” of Selumit, is currently reviewing data on residents based on government-provided statistics on the capabilities of low-income families and the need for social assistance.  Therefore, this study proposes K-medoid clustering to ensure that the assistance provided is appropriate. The study collected 62 data on social assistance recipients consisting of 6 criteria, namely employment, assets, income, jak (who are still dependents), home status, and home conditions. K-Medoids analysis using the Euclidean distance function with K=3 produces cluster 1 with 12 data, cluster 2 with 31 data, and cluster 3 with 19 data. The recipients prioritized to receive social assistance are the data in cluster 2 by calculating the average of the most considerable maximum weight value.
Implementation of an Integrated Information System for Construction Services Development to Support Infrastructure Projects at the Public Works Department of Tarakan City Hadriansa, H; Prayogi, Denis; Fadlan, Muhammad; Fandariansyah, F
IJISTECH (International Journal of Information System and Technology) Vol 8, No 5 (2025): The February edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i5.373

Abstract

Efficient infrastructure development requires effective management, particularly in developing construction services. The Public Works (PU) Department of Tarakan City faces challenges in overseeing and guiding construction service providers to ensure smooth execution and project quality. This study aims to design and implement an integrated information system using the Scrum method, which supports construction service development, project progress monitoring, contractor data management, and budget supervision. Scrum was chosen to enhance flexibility and collaboration among development teams by allowing the system to be built iteratively and incrementally. The system is designed to improve transparency, efficiency, and accuracy in managing construction projects. The implementation results show that applying the Scrum method in developing the integrated information system has successfully accelerated the verification process, reduced administrative errors, and improved budget control. Additionally, the system has increased project management efficiency, expedited decision-making, and facilitated monitoring and evaluation processes. This study recommends further development and expansion of the system to support more effective construction service development in the future
Implementation of Convolutional Neural Networks (CNN) for Crowd Counting in Shopping Mall Environments Prihandoko, P; Wulandari, Natasya; Eska, Juna
IJISTECH (International Journal of Information System and Technology) Vol 8, No 4 (2024): The December edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i4.377

Abstract

Accurate crowd counting is crucial in public spaces such as shopping malls to ensure safety and optimize resource management. This article explores the use of Convolutional Neural Networks (CNN), specifically a modified VGG16 architecture, for real-time crowd counting in shopping mall environments. Using a dataset collected from various crowd scenarios, the model was trained and tested using evaluation metrics such as Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE). The results indicate that the proposed model is effective, achieving higher accuracy compared to traditional methods, thanks to advanced feature extraction techniques. This research offers a robust and scalable solution to enhance security and improve crowd management in commercial spaces.

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