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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 4 Documents
 1 
Search results for , issue "Vol 7, No 6 (2024): The April edition" : 4 Documents clear
Lobster Sales Prediction Using Adaptive Neuro Fuzzy Inference System (ANFIS) In Simeulue District Sandira, Sri Delwis; Kurniawan, Rakhmat; Hasibuan, Muhammad Siddik
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.v7i6.339

Abstract

The rapid progress of technology and information is making the challenges of the past become a tantalizing reality of the fourth industrial revolution. Rapid technological progress is marked by major developments in all aspects of life, such as economics, education, health, social and cultural. In the economic world, increasingly sophisticated technological developments will help the work of business actors and force them to innovate and be creative in improving the quality, capacity and products produced. With the vast lobster market, lobster demand experiences a sharp increase every year along with an increase in prices which will provide profits for fishermen in Simeulue. Therefore, predictions of lobster sales are quite important for fishermen in Semeulue to predict lobster sales that will be marketed abroad and domestically the following day, so that fishermen can estimate the lobster seeds or lobster catch needed optimally. In the prediction process The sales data obtained is in the form of a sales history report from 2017 to 2022, then the data obtained will be calculated using the adaptive neuro fuzzy inference system (ANFIS) to then obtain sales prediction results for the following year. And using MAPE calculations with the results of lobster sales training data calculations, the accuracy yields above 99% with a value of 0.0000168031. Therefore, this research will discuss predictions of lobster sales using the adaptive neuro fuzzy inference system (ANFIS) in Simeulue Regency.
The Concept of gamification, metaverse & AI to develop hybrid learning systems inside education Gamayanto, Indra; Wibowo, Sasono; S, Dewi Agustini; Prayitno, Agus
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.v7i6.336

Abstract

The development of information technology has reached its peak, where AI has transformed and influenced many things, one of which is the world of education, especially universities. In this concept research, we will describe in a big picture how smart gamification, metaverse, and AI will influence and how to build this so that it can gradually change our teaching and learning patterns. Of course, this has been resolved in the book we published on Amazon. Therefore, if readers want to know and understand more deeply, they can read the book we created to apply it. The results of this concept research are formulas, frameworks, and the maturity level to be able to develop hybrid learning systems, which may be used to the way we teach, the way we give assignments, and the way we test, as well as other things related to business processes at the university. Therefore, we need to change what already exists so that it can be adapted to the situation and conditions of information technology development and the current globalization competition
Combined Performance of Hill Cipher and Rivest Code 6 (Rc6) Algorithms in Image Security Santoso, Heri; Rambe, Nia Sabrina; Suhardi, S
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.v7i6.337

Abstract

Digital image files are a form of information that is accurate and reliable enough to describe something, so the level of authenticity of this information needs to be maintained. Especially when sent via the internet as in chat-based applications such as Facebook, WhatsApp, Instagram and other social media. To maintain the security and confidentiality of digital image/image information, it is necessary to have a technique called cryptography. Cryptography is a technique or algorithm for changing data or information to be different from the original information. For example, in everyday life, there is a result of a design order that is still in the development stage that needs to be shown to prospective buyers, a drawing file or documentation image file that is private and confidential, so it is important to pay attention to its security. This research will use the combined performance of the Hill Cipher and Rivest Code 6 cryptographic algorithms in securing image files. The results of the Hill Cipher and Rivest Code 6 cryptographic algorithm encryption are able to disguise the image during the encryption process. And can restore to the original image in the decryption process. So that the encrypted image is safer to send via the internet or social media.
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

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