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Jurnal Teknik Informatika C.I.T. Medicom
Published by Institute of Computer Science
ISSN : 23378646     EISSN : 2721561X     DOI : -
Core Subject : Science,
Computer Science & IT
The Jurnal Teknik Informatika C.I.T a scientific journal of Decision support sistem , expert system and artificial inteligens which includes scholarly writings on pure research and applied research in the field of information systems and information technology as well as a review-general review of the development of the theory, methods, and related applied sciences.
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 5 Documents
 1 
Search results for , issue "Vol 13 No 2 (2021): September: Intelligent Decision Support System (IDSS)" : 5 Documents clear
Study Tentang Model Fuzzy Goal Programming Pada Pendekatan Masalah Perencanaan Produksi Desi Vinsensia; Yulia Utami; Mian Sari Simanjuntak; Arya Riski Tarigan
Jurnal Teknik Informatika C.I.T Medicom Vol 13 No 2 (2021): September: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/cit.Vol13.2021.149.pp75-81

Abstract

The production planning system can provide satisfaction to the manufacture with the desire target and also with the available raw materials. In achieving the target of goals also face a situation of uncertainty (fuzzy). The aims of this study is proposed the model of fuzzy goal programming approach to optimize production planning system. In this model obtaining maximizing profit and revenue with consider minimize costs of labor cost, raw materials cost, time machine production, and also inventory cost. The numerical example is illustrate that the fuzzy goal programming model can optimize optimize production and profit according desired of decision maker.
Dynamic Pathfinding for Non-Player Character Follower on Game Paulus Harsadi; Siti Asmiatun; Astrid Novita Putri
Jurnal Teknik Informatika C.I.T Medicom Vol 13 No 2 (2021): September: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/cit.Vol13.2021.68.pp51-58

Abstract

Artificial Intellegences in video game are important things that can challenge game player. One of them is creating character or NPC Follower (Non-player character Follower) inside the video game, such as real human/animal attitude. Artificial Intelligences have some techniques in which pathfinding is one of Artificial Intellegence techniques that is more popular in research than other techniques. The ability to do dynamic pathfinding is Dynamic Particle Chain (DPC) algorithm. This algorithm has the ability of flocking behavior called boid to explore the environment. But, the algoritm method moves from one boid’s point to another according to the nearest radius, then it will be able to increase computation time or needed time toward the target. To finish higher computation problem in dynamic pathfinding, the researcher suggests an algorithm that is able to handle dynamic pathfinding process through attractive potential field function of Artificial Potential Field to start pathfinding toward the target and flocking behavior technique to avoid the obstacle. Based on the test result by simulation of moving environment and complex, the computation time of algorithm is faster than comparison algorithms, DPC and Astar. It concludes that the suggested method can be used to decrease computation level in dynamic pathfinding.
Pengelompokan Harga Ponsel Pintar berdasarkan Spesifikasi menggunakan Metode K-Means Clustering Ahmad Agung Zefi Syahputra; Annisa Dwi Atika; Muhammad Adam Aslamsyah; Meida Cahyo Untoro; Winda Yulita
Jurnal Teknik Informatika C.I.T Medicom Vol 13 No 2 (2021): September: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/cit.Vol13.2021.98.pp59-68

Abstract

The use of smartphones in the industrial era 4.0 had become more frequent and widespread in various circles of Indonesian society. In addition, the COVID-19 pandemic that had not end yet also made high school and college students obliged to carry out online learning. This research aimed to cluster the price from smartphones using the specifications of the smartphone. K-Means Clustering was used as a method in this research. This algorithm was a data mining algorithm with unsupervised learning as data grouping and could group the price of a smartphone into several clusters based on the similarity of the characteristics by one data with other data, which is memory_size and best_price. The results of this research indicated that the right clustering of smartphone prices was within 3 different clusters, which was cluster 0 has centroid of Rp2.000.000,00, cluster 1 has centroid of Rp18.000.000,00, and cluster 2 has centroid of Rp9.000.000,00. The results of the evaluation used a confusion matrix, summary of prediction result, indicated that the clustering process had 100% of accuracy that could be seen on the table which showed the results of clustering. The conclusion from this research was that K-Means Clustering could form clusters in determining the price of a smartphone in relation to the specifications used as the attribute determining the price cluster for a smartphone.
Application of the Knuth-Morris-Pratt Algorithm on Android-based Money Recognition Applications for the Blind Yoga Prasetia; Ghulam Asrofi Buntoro; Dwiyono Ariyadi
Jurnal Teknik Informatika C.I.T Medicom Vol 13 No 2 (2021): September: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/cit.Vol13.2021.160.pp82-93

Abstract

Blind is a term used to define the human condition given a privilege by God in the sense of sight, this condition makes blind people have a little difficulty in carrying out daily activities. Money is a primary human need and is very important for daily buying and selling transactions. Indonesian money, especially paper money, has an embossed line that can help people with visual impairments a little, but there is some money circulating in the market that is damaged or missing lines of appearance which makes it difficult for blind people to recognize the nominal of the money. The research was conducted at the “AISYIYAH” Orphanage for the Blind in Ponorogo by conducting several interviews with blind people, the informants provided information that they could recognize money on a daily basis but only applies to banknotes with good condition and the latest output, for damaged banknotes. or the old output is hard to identify. To help the blind recognize money, an android-based application was designed with the Knuth-Morris-Pratt algorithm which is a type of string matching algorithm. This algorithm is a development algorithm from the previous algorithm, namely the Brute Force algorithm. The final result of this study shows that the android application designed using the Knuth-Morris-Pratt algorithm is able to recognize nominal money with an accuracy rate of 100%.
Sistem Pendukung Keputusan Penerima Bantuan Pandemi Menggunakan Metode AHP (Analytical Hierarchy Process) Sister P Lumbantoruan
Jurnal Teknik Informatika C.I.T Medicom Vol 13 No 2 (2021): September: Intelligent Decision Support System (IDSS)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/cit.Vol13.2021.177.pp94-104

Abstract

The Covid-19 pandemic has had a negative impact on the Indonesian economy, thus prompting the government to pay great attention to the people at the grassroots level by holding aid programs. There are problems that occur in determining the recipients of assistance, namely there are criticisms and rejections regarding the inappropriateness of the target of assistance and there are obstacles faced by village officials in collecting data and determining which beneficiaries are prioritized or prioritized with those that are not prioritized, so that it is not in accordance with the Government's expectations that families Vulnerable categories are prioritized beneficiaries that should not be missed. Researchers think about implementing a Decision Support System using the AHP (Analytical Hierarchy Process) method in this problem with the aim of knowing how to implement a Decision Support System in the problem of determining beneficiaries during a pandemic and to find out how to apply the AHP method in determining prioritized or prioritized recipients or those who are not. not prioritized by utilizing criteria and alternative data. This study uses a quantitative method, where the application of the AHP method, the criteria and alternative data obtained will be converted into quantitative data through pairwise comparisons based on the level of importance between one criterion and another or a comparison between one alternative and another, so that the results obtained are quantitative value in the form of numbers. The results obtained are that the application of the AHP method can determine the priority weights of criteria and alternatives so that it can be determined which recipients are prioritized and who are not prioritized to receive assistance, namely there are 2 out of 5 alternatives with the highest priority weights that are prioritized to receive assistance.

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