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IJISTECH (International Journal Of Information System & Technology)
ISSN : 25807250     EISSN : -     DOI : -
Core Subject : Science,
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.
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Articles 14 Documents
Search results for , issue "Vol 5, No 5 (2022): February" : 14 Documents clear
Fp-Growth Algorithm For Searching Book Borrowing Transaction Patterns And Study Program Suitability Lisna Zahrotun; Anna Hendri Soleliza Jones
IJISTECH (International Journal of Information System and Technology) Vol 5, No 5 (2022): February
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (677.693 KB) | DOI: 10.30645/ijistech.v5i5.180

Abstract

The current development of data has reached a sizeable amount. This is due to the development of the world of information technology which consists of data in it. One technique that can handle abundant data is data mining. Data mining methods are widely used to perform large amounts of data analysis. In the academic field, analysis can be used to determine the patterns of students and lecturers. Whereas in library transactions, analysis can be carried out to determine the patterns of existing book borrowing. This is done to determine the tendency of students with certain study programs to borrow any uku transactions. In this study, the aim of this research is to analyze the patterns of borrowing books from the Ahmad Dahlan University library, which includes borrowing transaction data and the book owner's study program. In addition, in this study, a percentage analysis of the suitability of the book borrower study program and the book owner's study program was also carried out. The stages in this research include data collection, data cleaning, data selection, data transformation, searching for association patterns using the FP-Growth method and pattern evaluation. The test used in this research is the lift ratio. The results of this study are publications in international journals that are in the draft process. Apart from that, the results of this study provide information on the analysis of patterns of lending books in libraries using the FP-Growth method. The resulting pattern is 103 patterns with a support count value of 5 and a confident 10% with the 2 itemset rule, this means that the level of book borrowing is still low. While the results of the analysis of the suitability of books in the study program with the borrower were 31% in accordance with the study program, namely Pharmacy and Public Health Sciences, meaning that there were 69% of students who borrowed books from the library that were not in accordance with their study program.
Implementation of Algorithms For Frequent Itemset In Forming Association Rules In Movie Recommendation System Ilham Prayudha; Muhammad Habib Algifari
IJISTECH (International Journal of Information System and Technology) Vol 5, No 5 (2022): February
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (662.141 KB) | DOI: 10.30645/ijistech.v5i5.181

Abstract

A large number of movies around the world, causing a person to take a long time to find the movie they want to watch, not only that the audience will be confused to determine which movie suits their interests. A recommendation system is defined as a decision-making strategy for a user under complex information environments. From the perspective of e-commerce, the recommendation system was described as a tool that can help users decide related to user interest and preference [5]. The recommendation system is intended primarily for individuals who have no experience evaluating the number of alternative items offered, such as movie selection. This study will implement a recommendation system to form association rules from the two algorithms for frequent itemset, namely Apriori and FP-Growth
Comparison of Ascent Hill Climbing Algorithm And Simple Hill Climbing Algorithm Solving The 8-Puzzle Case Padma Mike Putri M
IJISTECH (International Journal of Information System and Technology) Vol 5, No 5 (2022): February
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (729.405 KB) | DOI: 10.30645/ijistech.v5i5.175

Abstract

Puzzle 8 game is a game that shifts numbers in the form of a box consisting of 9 squares arranged with numbers 1 to 8 based on the order of count and there is an order of 3x3. This form of game is very easy to complete if you follow the rules that have been applied to the algorithm. Comparison of the ascent hill climbing algorithm and the simple hill climbing algorithm. The purpose of this algorithm is to help children who are just learning to arrange a sequence of numbers so that they explore brain power and increase imagination for children. The difference between the ascent hill climbing algorithm and the simple hill climbing algorithm lies in the search movement which does not start from the far left position but the next movement is searched based on the best heuristic value. To obtain the Goal, a systematic process is needed to make it easy and fast in finding solutions so as to save time in finding the final goal.
Utilization of Barcodes for Process Efficiency Recap Assignment Grades Joseph Dedy Irawan; Renaldi Primaswara Prasetya
IJISTECH (International Journal of Information System and Technology) Vol 5, No 5 (2022): February
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1818.192 KB) | DOI: 10.30645/ijistech.v5i5.174

Abstract

One of the learning processes is to give assignments to students with the aim of increasing students' understanding of the material that has been given, besides that assignments can also be used as an evaluation tool for whether students have understood the material. The obstacle faced by lecturers is the process of checking and recapitulating the value of the assignment, where the value of this assignment will also affect the final score of students. Many lecturers use excel to record the value of this assignment, but this process still takes time, especially if the number of students is quite large. The purpose of this research is to create an application with the help of barcodes to help lecturers facilitate the process of recording assignments, by using this barcode the process of finding student numbers will be very easy and fast. The working principle of this application is, students, include their number on their respective assignment sheets in the form of a barcode, then after the assignment is checked and given a grade, the lecturer scans the student ID using a barcode scanner, the application will look for the student ID and the lecturer just enters value, with this system the process of recapitulating tasks will be fast and accurate

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