Article Per Year (5 Year)
p-Index From 2021 - 2026
1.503
P-Index
This Author published in this journals
All Journal Jatilima : Jurnal Multimedia Dan Teknologi Informasi INFOKUM Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Minfo Polgan (JMP) Jurnal Pengabdian Masyarakat Nusantara
Subhan Hafiz Nanda Ginting
Universitas Battuta
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Health Professions Library & Information Science Mathematics Social Sciences Other

Published : 10 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search
Journal : infokum

 1 
EVALUATION OF THE K-NEAREST NEIGHBOR MODEL WITH K-FOLD CROSS VALIDATION ON IMAGE CLASSIFICATION M. Rhifky Wayahdi; Dinur Syahputra; Subhan Hafiz Nanda Ginting
INFOKUM Vol. 9 No. 1,Desember (2020): Data Mining, Image Processing,artificial intelligence, networking
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (675.417 KB)

Abstract

In this paper, the data used is the banana image which is extracted into the dataset into 4 attributes, namely red, green, blue, and the mean for the classification process. Image data is classified using the k-Nearest Neighbor method which will be optimized the model with the k-Fold Cross Validation algorithm. Evaluation of the k-NN model with the k-FCV algorithm can improve accuracy and can build better machine learning models in the image classification process. The default K-NN obtained an accuracy rate of 57%, while the results of the model evaluation with the k-FCV algorithm, on fold 3 obtained an accuracy rate of 68%. The percentage yield with the new model increased by 11% which indicates that the machine learning model that was built was quite optimal
FUZZY TSUKAMOTO METHOD IN DETERMINING CORN QUALITY FOR ANIMAL FEED Dinur Syahputra; M. Rhifky Wayahdi; Subhan Hafiz Nanda Ginting
INFOKUM Vol. 9 No. 1,Desember (2020): Data Mining, Image Processing,artificial intelligence, networking
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (679.044 KB)

Abstract

Animal feed is the largest cost component in the livestock industry. The existence of a solution to reduce the percentage of feed costs can have a tremendous positive impact for farmers. Animal feed is generally obtained by buying factory-produced animal feed that tends to be expensive or by making their own animal feed. However not all breeders can make their own animal feed because to make good feed the formulation process is. Fuzzy Tsukamoto is one of the fuzzy logic in which the methodology of the problem solving control system is suitable to be implemented on the system
IMPLEMENTATION OF SIMPLE ADDITIVE WEIGHTING (SAW) ALGORITHM IN DECISION SUPPORT SYSTEM FOR DETERMINING WORKING AREA FOR COOPERATIVE Subhan Hafiz Nanda Ginting; M. Rhifky Wayahdi; Dinur Syahputra
INFOKUM Vol. 9 No. 1,Desember (2020): Data Mining, Image Processing,artificial intelligence, networking
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (329.067 KB)

Abstract

Today, the cooperative in Medan has difficulty in determining the work area for employees. The difficulty in determining the work area of ​​employees is because the number of employees does not meet the needs. In addition, the employees' lack of knowledge about the work area will be a problem. This has resulted in obstruction of the performance of employees at the Medan Cooperative. To overcome this problem, a decision support system is needed that can assist in making decisions to determine the employee's work area. Using the Simple Additive Weighting (SAW) method is expected to help companies to be able to assess and determine employees who meet the criteria and can work for a long time. The Decision Support System for selecting the work area that is currently being designed is the Decision Support System for Determining Work Areas in Cooperatives in Medan Using the Simple Additive Weighting (SAW) Method. Where with this system it can make it easier for companies to place employee work areas based on the area where the employee lives. The system designed can be used for all employees because it is very easy to use, no special computer skills are needed. So that employees can use this system to generate reports about their work area based on residence. Decision support system application designed using the Simple Additive Weighting (SAW) method at the Cooperative in Medan, can determine the work area of ​​employees.
Decision Support System Determines the Best Nutritional Health Study Program at the College of Health Sciences Using the Method TOPSIS (Case Study: Kopertis Region I North Sumatra): Dewi Wahyuni, Dinur Syahputra, Subhan Hafiz Nanda Ginting, M. Rhifky Wayahdi Dewi Wahyuni; Dinur Syahputra; Subhan Hafiz Nanda Ginting; M. Rhifky Wayahdi
INFOKUM Vol. 9 No. 2, June (2021): Data Mining, Image Processing and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (306.278 KB)

Abstract

Nutritional health problems now and in the future mean increasing Indonesia's human development index which is still minimal, nutrition graduates are needed who are able to manage nutrition programs from planning to strong evaluation. The need for nutritional health graduates can be seen from the tendency to increase the number of enthusiasts in the field of nutritional health studies, which is still minimal. So prospective students need the best nutritional health study program to make it easier for prospective students to determine the best nutritional health study program at STIKES to be selected. The number of methods in solving problems in decision making such as AHP, SAW, WP, and others.
Co-Authors Dewi Wahyuni Dinur Syahputra Dinur Syahputra M. Rhifky Wayahdi Mayang Mughnyanti Rutmian Mariama Rutmian Mariama Hutasoit ruziq, fahmi Sheila Try Thania Surya Guntur