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All Journal Jatilima : Jurnal Multimedia Dan Teknologi Informasi INFOKUM Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN) Jurnal Minfo Polgan (JMP)
Subhan Hafiz Nanda Ginting
Universitas Battuta
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Library & Information Science Mathematics Social Sciences

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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

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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

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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.
Rekayasa Perangkat Lunak Sistem Informasi Kehadiran Dosen Berbasis SMS GATEWAY (Studi Kasus: STMIK Logika Medan) Subhan Hafiz Nanda Ginting; Dewi Wahyuni
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 4 No. 01 (2022): Jatilima
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v4i01.253

Abstract

Information that reaches students is frequently unclear because there isn't a structure in place to quickly and accurately inform students of the presence of lecturers. Therefore, it is essential to develop an information system that can accurately and swiftly communicate the presence of lecturers. The information system that the author offers is an SMS getaway-based information system that can assist in informing pupils. The information system developed is intended to increase the quality of the information provided to students by STMIK LOGIKA and to make it simpler for students to learn about the presence of lecturers.
Pelatihan Pembelajaran Daring Berbasis Google PlatformUntuk Guru Pada SD Swasta Fitria Rahmah Subhan Hafiz Nanda Ginting; Dinur Syahputra; M. Rhifky Wayahdi; Rutmian Mariama Hutasoit; Sheila Try Thania
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 2 No. 1 (2021): Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN)
Publisher : Sistem Informasi dan Teknologi (Sisfokomtek)

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Abstract

Google Cloud Platform is a suite of public cloud services offered directly by Google developers. However, after seeing the growth of technology, this application created by Google added a variety of new features. This development brought many positive influences, especially for the world of education. The facts show that the use of learning media with computers makes it possible to implement a more effective teaching and learning process.
Playfair Cipher Algorithm in Learning Media Subhan Hafiz Nanda Ginting; Muhammad Rhifky Wayahdi; Surya Guntur
Jurnal Minfo Polgan Vol. 11 No. 1 (2022): Article Research
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v11i1.11560

Abstract

The level of security and confidentiality of information / data becomes very important in the era of increasingly sophisticated and developing technology. Cryptographic methods can be one solution to overcome problems in the level of security and confidentiality of information. However, knowledge about cryptography is still a lot of audiences who do not know and understand its use in securing the secrets of information, for that we need an application which presents a learning media that is expected to help provide knowledge from cryptography. This study implements a learning media application that discusses a Playfair Cipher classic cryptographic method, a cryptographic technique that encrypts bigrams using a matrix table consisting of 25 letters in it, text that can be encrypted in the form of alphabet letters on the system that has been tested. The results of the encryption and decryption of the text do not have spaces or symbols in it, the application of playfair cipher cryptographic learning media is aimed at computer students as a tool to better understand the playfair cipher cryptographic material.
The Utilization Of The Simple Multi Attribute Rating Exploiting Ranks Can Enhance The Performance Of The Aco Algorithm Subhan Hafiz Nanda Ginting; Mayang Mughnyanti
Jurnal Minfo Polgan Vol. 12 No. 1 (2023): Artikel Penelitian 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v12i1.12743

Abstract

In a comparative study, the performance of the ACO algorithm and a modified genetic algorithm (MGA) were evaluated for solving the multiple salesman traveling problem (MTSP) using various datasets from TSPLIB. The results revealed that although the proposed algorithm did not achieve the best solution, it exhibited improved time efficiency as the dataset size increased. The objective of this study is to improve the performance of the ACO algorithm by integrating the SMARTER algorithm, which aims to find the optimal route and minimize travel time. The combination of these algorithms offers alternative path solutions that can be effectively applied to solve TSP case examples and advance the development of new algorithms that excel in identifying the closest path. The study utilized TSPLIB datasets ranging in size from 76 to 1002 cities, sourced from the Felts and Nelson Krolak repositories. Within this study, the ACO algorithm was employed to optimize the overall distance in the TSP dataset, while the SMARTER algorithm generated suggestions for the optimal routes based on the total trip distance calculated by ACO. Experimental results demonstrated that the ACO algorithm, combined with SMARTER, achieved an average time improvement of 74.09% compared to the MGA algorithm, representing the most optimal performance.
Co-Authors Dewi Wahyuni Dinur Syahputra Dinur Syahputra M. Rhifky Wayahdi Mayang Mughnyanti Rutmian Mariama Rutmian Mariama Hutasoit Sheila Try Thania Surya Guntur