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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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Improved Naive Bayes Algorithm with Particle Swarm Optimization to Predict Student Graduation Wati, Embun Fajar; Perangin-Angin, Elvi Sunita; Sari, Anggi Puspita
IJISTECH (International Journal of Information System and Technology) Vol 7, No 6 (2024): 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.v7i6.338

Abstract

Timely graduation is very important for educational institutions such as universities, especially for students. Because it can prove that the University and students are able to undergo the learning process theoretically and practically. But many students do not pay attention to graduation, especially those who are already working or married. Therefore, analysis is needed to predict student graduation so that solutions can be found by the University. Data mining was chosen as a method to process data to get new information. The algorithm used in data mining is Naïve Bayes. The research stages include loading data into excel, cleaning empty data, selecting databases related to graduation and taking data from 300 students majoring in Informatics Engineering. The next stage is data transformation by categorizing student data, namely personal data attributes (gender, age, marital status, job status) and academic data (grade). Data testing, application of Naïve Bayes algorithm and accuracy testing were carried out with Rapis Miner software version 10.3.001. The results of data processing with Rapid Miner using the Naïve Bayes algorithm are shown with the Confusion Matrix and ROC Curve. The results of confusion matrix from data processing with Naïve Bayes in the form of accuracy, precision, and recall have the same result of 100%. The percentage of the Confusion Matrix indicates that the model created can classify correctly and accurately. The ROC curve depicted with AUC yields a value of 1, which means that the test showed excellent results
Design and Development of A Web-Based Internet Complaint Information System using A Rule-Based Method at PT Integra Kreasitama Solusindo Fakhriyah, Mardhiyah; Kurniawan, Rakhmat
IJISTECH (International Journal of Information System and Technology) Vol 8, No 2 (2024): The August edition
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v8i2.355

Abstract

This study focuses on the development of an information system specifically designed to address issues related to service disruption complaints frequently encountered by customers of PT Integra Kreasitama Solusindo. In an era marked by significant advancements in information technology, it is imperative for service companies to ensure that their customers can easily and efficiently report any disruptions they experience. This research includes comprehensive system design steps, encompassing the creation of an intuitive user interface, the development of a well-structured database, and the modeling of the overall system workflow. The primary objective of the developed information system is to facilitate the reporting of complaints, allow customers to monitor the progress of their complaints, and enable the support team to provide prompt and relevant responses. A rigorous testing methodology was employed during the development phase to ensure the system's performance and reliability. Evaluation results demonstrate that the system significantly optimizes the efficiency of managing service disruption complaints, resulting in faster response times. Additionally, the system enhances the overall management of customer service. This research underscores the importance of leveraging information technology to improve customer service quality, thereby positioning PT Integra Kreasitama Solusindo as a competitive entity in the digital era. The findings of this research are expected to offer valuable insights for other companies facing similar challenges in managing customer complaints
The Effect of Artificial Intelligence on Student Reading Interest in Indonesian History Lessons at SMA ST. Antonius Medan Silalahi, Anggi Juwita; Aisyah, Siti; br. Barus, Afriani Etimanta; Sitompul, Boas Fernando; Handayani, Mutia
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.v8i4.365

Abstract

Artificial intelligence is a technology designed to help humans with their work. This technology is sophisticated and as similar as possible to how humans work. Artificial intelligence now plays an important role in all areas of life, including education. The world of education and artificial intelligence is closely tied because of its effective and efficient nature in assisting teaching and learning activities. Not only teachers, but students are also increasingly using artificial intelligence to help solve problems and even do assignments. With the existence of artificial intelligence, students are increasingly facilitated in getting information about lessons, one of which is in history lessons. So it is not uncommon for students to prefer to find information through artificial intelligence applications rather than reading books. This study was conducted to measure how influential artificial intelligence is in reducing students' interest in reading.
Implementation Of The Multi-Attribute Utility Theory (Maut) Algorithm In The Web-Based Performance Evaluation System For The Administrators Of Nurul Hayah Islamic Boarding School Fitria, Alfina; Nada, Noora Qotrun; Dewanto, Febrian Murti
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.v8i3.360

Abstract

Islamic Boarding School as an educational institution that focuses on character, moral, and religious formation that has an organizational structure involving many administrators with their respective roles and responsibilities. With this, an Islamic boarding school must improve the quality of management of the administrators by evaluating the performance of the administrators. In this study, we tried to select the best administrators at the Nurul Hayah Islamic Boarding School using the Multi-Attribute Utility Theory (MAUT) method. I used five main assessment criteria: discipline, loyalty, accountability, leadership, and educational background. To build the system, I applied the Extreme Programming (XP) methodology with the PHP programming language, MySQL database, and Visual Studio Code development environment. The sample was obtained from the data of the administrators of the education section of the Nurul Hayah Islamic Boarding School. With the weights that have been determined for each criterion, this study successfully identified Dimas as the administrator with the best performance, and obtained a score of 14.6667 as the best administrator at the Nurul Hayah Islamic Boarding School. With this, it is stated that the study using the MAUT method to determine the best administrator was successful.
Development of Literacy and Numeracy E-Comic as An Independent Curriculum Learning Method For Primary School Teacher Siagian, Anggi Rafialdi; Aisyah, Siti; Simamora, Sheila Septina; Nainggolan, Ayu Miranda; Nainggolan, Yuliana Mona Krisdiana
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.v8i4.366

Abstract

Literacy and numeracy e-comic is a type of digital comic designed to teach readers letters and numbers. It is beneficial for improving reading and counting skills as well as the ability to understand information through a more engaging and interactive medium. The purpose of this research is to study the potential of e-comics to improve literacy and numeracy as well as the benefits and problems associated with using them in formal and informal education. The study used literature and a qualitative approach. The results show that e-comics can serve as an effective and engaging learning tool to improve literacy and numeracy, both inside and outside the classroom. The emergence of various e-comics platforms also opens up new opportunities to improve literacy and numeracy through story customization, interactivity and user engagement.
Customer Loyalty Classification with Comparison of Naive Bayes, C4.5, and KNN Methods Wati, Embun Fajar; Perangin-Angin, Elvi Sunita; Indriyani, Luthfi
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.v8i3.361

Abstract

Customer loyalty is indispensable for the survival of a company. Customer loyalty needs to be maintained in order to return to visit and transact with the Company. Customer data consisting of age, annual income, purchase amount, region, purchase frequency, and loyalty score features can produce new information, namely analyzing customers who have high loyalty. Data processing is carried out using three data mining algorithms, namely Naïve Bayes, C4.5 or Decision Tree, and KNN. The stages carried out in data processing consist of data selection, preprocessing, transformation, and modelling. The customer data used amounted to 238. Modelling is carried out using Rapid Miner Software. Customer loyalty classification can be easily done with the three algorithms, namely Naive Bayes, and C4.5 or Decision Tree, and KNN which is validated by the 10-fold cross-validation method so as to produce the highest percentage of accuracy and the similarity of the accuracy value of the Naive Bayes and C4.5 algorithms, which is 96.67%. In the AUC value, it can be seen that the Naive Bayes algorithm is superior to the C4.5 algorithm or Decision Tree and KNN. The result of the highest AUC value is 0.997, the highest precision percentage is 98.92% achieved by the Naive Bayes algorithm. The result of the highest recall percentage is C4.5 of 100%. The results of the AUC value and accuracy percentage on the three algorithms prove that the performance of the three algorithms is very good.
Analysis of the Impact of Artificial Intelligence Technology on Art Elements and Originality Aspects of Graphic Design State Polytechnic of Creative Media Siagian, Rismala Laurensia; Aisyah, Siti; Marbun, Erie Zeklyn; Saitapy, Maulana; Banjarnahor, Yoshea Febriani
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.v8i4.367

Abstract

In the use of Artificial Intelligence in Graphic Design which has a positive and negative impact on designers. Some of the benefits felt by graphic designers who use Artificial Intelligence are in the efficiency and speed of the design process, as well as AI can provide advice and assistance in enhancing design creativity, and can also assist in adjusting the Ai user reference itself through analyzing the data provided by the designer. AI can also have a negative impact, which can provide concern where AI can replace the role of the designer himself. In addition, it has an impact on the quality of design which can potentially reduce the value of design services. The use of AI can increase the risk of plagiarism in the work produced. In the art element, the use of AI is often considered less original because it only relies on modifying existing images. It is not a more in-depth creative process. Therefore, designers need to balance the use of AI technology, to maintain creativity in their work. The purpose of this research as a graphic designer is to analyze how the impact of graphic design production if it uses Artificial Intelligence which is very rapidly developing today.
Implementation of Artificial Intelligence based on Natural Language Processing to Enhance MSME Sales Alawiah, Enok Tuti; Setyorini, Dini; Apriyani, Helina
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.v8i3.362

Abstract

Micro, small and medium enterprises have contributed to gross domestic product and help support the people's economy. However, there are many challenges in the era of digital transformation so that MSMEs must innovate so that their products can be accepted by the market more widely. This study aims to help MSMEs increase their sales by carrying out digital transformation through a website-based sales information system equipped with a chatboot facility based on natural language processing. The goal is to provide a different experience for customers in shopping online and convenience for MSMEs in providing customer service satisfaction. The implementation of artificial intelligence based on natural language processing is expected to help micro, small and medium enterprises in expanding the market, increasing sales and providing a different experience in shopping.
The Maturity Level of Education Profiling To Generate E-Learning Systems & Innovation Gamayanto, Indra; Wibowo, Sasono
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.v8i4.368

Abstract

Knowledge and experience are two things that cannot separate; they are connected and form an inseparable unity. Knowledge has two important things: invisible knowledge based on experience and visible knowledge based on competency development. This article is a complete concept of how we can gradually improve our performance, and at each stage, there will be steps to improve this. Furthermore, this article complements previous research published, namely Development of Mentoring Management in Producing High-Quality Human Resources at University Level in Facing the Asean Economic Community (MEA) Using the Concept of Kiyosaki - Blanchard Abcd Trust Methods-Hsova. This article will discuss improving seven indicators: Strategy, Structure; Systems; Culture; Staff; Style, and Global Goals. Of course, these seven indicators are very important to discuss because, at each level, a standard will give to improve performance and systematic steps so that performance can improve stably but flexibly. The other side is the seven levels: stage 1 Uncontrolled; stage 2 The fundamentals; stage 3 The development; stage 4 Integrated; stage 5 Good University; stage 6 The Best University; stage 7 Global University. The results of this article are the maturity level of e-learning and the maturity level of the university.
Consumer Decision Support System in Online Shopping in Market Place Sefrika, S
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.v8i3.363

Abstract

Online shopping transactions are common in today's society. Many people have changed their conventional shopping methods to online modes, so research needs to be conducted to find out what supports consumer decisions in making online shopping transactions through the market place platform. The research method uses TOPSIS, a multi-criteria method that offers an easier and more effective way to find out how or what underlies someone in determining certain decisions. TOPSIS is used to determine the preference value and distance of positive and negative ideal solutions as offered in the study. The results show that free shipping is the main reason for a consumer to make online transactions and fashion products are the most purchased items in online transactions.

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