
INFOKUM is a peer-reviewed scientific journal published by Sean Institute which has been published since 2014. The aim of this journal is to publish high-quality articles dedicated to all aspects of the latest outstanding developments in the field of computer science. INFOKUM is consistently published two times a year in June and December. This journal covers original article in computer science that has not been published. The article can be research papers, research findings, review articles, analysis and recent applications in computer science. The scope of INFOKUM covers, but is not limited to the following areas: Data Mining, Image Processing and Artificial Neural Networks, software engineering.
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Current Issue
Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
INFOKUM is a peer-reviewed scientific journal published by Sean Institute which has been published since 2014. The aim of this journal is to publish high-quality articles dedicated to all aspects of the latest outstanding developments in the field of computer science. INFOKUM is consistently published two times a year in June and December. This journal covers original article in computer science that has not been published. The article can be research papers, research findings, review articles, analysis and recent applications in computer science. The scope of INFOKUM covers, but is not limited to the following areas: Data Mining, Image Processing and Artificial Neural Networks, software engineering.
Published: 2022-06-08
Articles
IMPLEMENTATION OF SINGULAR VALUE DECOMPOSITION FOR ADDING WATERMARK ON TEXT DOCUMENTS
Page :
750-757



DECISION SUPPORT SYSTEM FOR PROVIDING WORK ALLOWANCES AND PUNISHMENTS TO EMPLOYEES USING THE AHP AND SMART METHOD
Page :
758-763






Analysis of Higher Education Academic Service Satisfaction Levels using the Service Quality and Importance-Performance Analysis methods
Page :
769-780



Analysis of Elearning Quality Measurement with Webqual method using Artificial Neural Networks
Page :
781-791









MONITORING WATER LEVELS AS FLOOD DETECTORS BY UTILIZING TELEGRAM APPLICATIONS BASED ON IOT (INTERNET OF THINGS)
Page :
810-817















Implementation of Greedy Algorithm for Profit and Cost Analysis of Swallow's Nest Processing Dirty to Finished Products
Page :
849-858






IMPLEMENTATION OF DATA MINING ALGORITHM FP-GROWTH IN MILK SALES IN PT. ASIA JAYA TOGETHER USING ASSOCIATION RULE METHOD
Page :
870-879



SENTIMENT ANALYSIS COMPARE LINEAR REGRESSION AND DECISION TREE REGRESSION ALGORITHM TO DETERMINE FILM RATING ACCURACY
Page :
880-890



CLASSIFICATION OF ELECTROCARDIOGRAM (ECG) WAVES OF HEART DISEASE USING THE XGBOOST METODE METHOD
Page :
891-904



APPLICATION OF DATA MINING TO DETERMINE THE LEVEL OF FISH SALES IN PT. TRANS RETAIL WITH FP-GROWTH METHOD
Page :
905-913






ANALYSIS OF THE K-NEAREST NIGBOAR METHOD TO DETERMINE THE ELIGIBILITY OF INTERNSHIP STUDENTS AT PRIMA INDONESIA UNIVERSITY
Page :
920-923



Data Mining Analysis To Determine The Inventory Of Food Sales During The Pandemic With The K-Means Clustering Method
Page :
924-928


