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Rima Liana Gema
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Journal of Computer Scine and Information Technology
Published by Universitas Putra Indonesia YPTK Padang
ISSN : 25021486     EISSN : 25021486     DOI : https://doi.org/10.35134/jcsitech
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology
Journal of Computer Science and Information Technology is a threetly journal published by Universitas Putra Indonesia YPTK, Padang. It publishes scientific and technical papers describing original research work or novel product/process development. The objectives are to promote exchange of information and knowledge in research work, new inventions/developments of Computer Science and on the use of Information Technology towards the structuring of an information-rich society and to assist the academic staff from local and foreign universities, business and industrial sectors, government departments and academic institutions on publishing research results and studies in Computer Science and Information Technology through a scholarly publication. This journal is useful to researchers, engineers, scientists, teachers, managers and students who are interested in keeping a track of original research and development work being carried out in the broad area of computer science. Subjects covered by this journal are: Algorithms, Artificial intelligence, Computer graphics, Compiler programming and languages, Computer vision, Data mining, High performance computing, Information technology, Internet computing, Multimedia, Networks, Network Security, Operating systems, Quantum learning systems, Pattern Recognition, Sensor networks, Soft computing.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 10 Documents
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Search results for , issue "Volume 9 Issue 2 (2023): JCSITech" : 10 Documents clear
Feed Selection Decision Support System The Best Cat uses the Analytical Hierarchy Process Method Dinda Putri Insani; Gushelmi; Liga Mayola
Journal of Computer Scine and Information Technology Volume 9 Issue 2 (2023): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v9i2.64

Abstract

With the development of technology and increasingly rapid competition in the business world, just opening a Cat Shop is not enough. To win the competition, technology and research are used to overcome the problem of consumers who are confused about choosing the type of food for their cats, because there are many types of cats and cat food available. circulating in the market today.. Cat Shop is a business that provides various kinds of pet needs, such as pet food, animal equipment and animal accessories. The Cat Shop sells various products to the public. Cat Shop currently has a share of the pet market in big cities in Indonesia. This decision support system research uses the Analytical Hierarchy Process (AHP) method. The AHP method is a method that is widely used in the case of weighting criteria and prioritizing each criterion. After this research was applied, the results were able to answer the information needs regarding the selection of the best cat food, it has been able to answer and assist in solving the problem of choosing the best cat food purchase
Analysis and Application of the Certainty Factor Method in the Diagnostic Expert System for Broiler Chicken Diseases Ragil Ardiansyah; Yuhandri; Silfia Andini
Journal of Computer Scine and Information Technology Volume 9 Issue 2 (2023): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v9i2.65

Abstract

An expert system is a system that uses human knowledge recorded in a computer to solve problems that normally require human expertise. Certainty Factor is a clinical parameter value given by MYCIN to indicate the level of trust. The certainty factor is also a way of combining belief and disbelief in a single number. Certainty factor introduces the concepts of belief/belief and disbelief/unbelief. In the system analysis stage, the author analyzes to find weaknesses in the system that is currently running in an organization or company with the aim that the system can be proposed for improvement. Implementing the program that has been designed requires a tool in the form of a computer or laptop, which requires three supporting components to operate the computer or laptop itself, such as hardware, software, and brainware. The expert system application has been running with the Certainty Factor method and to make a diagnosis on chickens the user can choose a value according to the Certainty Factor Interpretation that has been given and processed with the CF expert. Based on the tests carried out, the value of system accuracy with experts is almost the same . And the Inference engine works well, according to the pre-programmed rules. After diagnosing a chicken disease, the system will display how to treat and handle sick broiler chickens
Sales and Inventory Prediction with the EOQ Method based on Single Exponential Smoothing Forecasting Alfin Andika Putra; Vicky Ariandi; Pradani Ayu Widya Purnama
Journal of Computer Scine and Information Technology Volume 9 Issue 2 (2023): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v9i2.66

Abstract

Along with the development of the era where technology is increasingly sophisticated as it is today, the needs are also increasing. Science and Technology also experienced drastic progress. Forecasting forecasting is a method for making estimates of future data by involving the use of past data in a systematic model form, and the forecasting method used is Single Exponential Smoothing. Planning for this EOQ method can minimize the occurrence of out of stock so that processes in a business are not disrupted and are able to save costs incurred due to the efficiency of inventory at the place of business concerned. Application of Supply Chain Management with data mining systems on CV. Amifa Keluarga Lestari can simplify the management of raw materials by implementing an SCM system which can reduce excess stock purchases. With the Single Exponential Smoothing method, you can predict the number of best sales for the following month in one period by looking at the smallest error. The calculation results show that the most economical order in one order is 1291 kilograms, and the total storage cost is Rp. 154,919 per Kilogram
Decision Support System for Selecting the Best Firefighters Using the Weighted Sum Model (WSM) Method Zeky Ameriza; Guslendra; Hezy Kurnia
Journal of Computer Scine and Information Technology Volume 9 Issue 2 (2023): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v9i2.67

Abstract

Fire is a threat to human safety, property and the environment. The population is getting denser, the construction of office buildings, residential areas, industrial areas which are increasingly developing creates a vulnerability in the event of a fire that requires special handling. This study uses the Weighted Sum Model (WSM) method. The WSM method is a method for solving a complex unstructured situation into several components in a hierarchical arrangement, by giving subjective values about the relative importance of each variable, and determining which variable has the highest priority in order to influence the outcome in that situation. The decision-making process is basically choosing the best alternative. Such as structuring the problem, determining alternatives, determining possible values for alleator variables, determining values, preference requirements for time, and risk specifications. The results of the research show that the use of WSM as a decision support system model for selecting the Best Members of the Lubuk Basung Fire Department can assist the admin in determining the Best Members with a multi-criteria weighting process and selection in a faster, more thorough and more effective manner, based on calculations it is found that the best members are Alternative 3 with the name Yurnaldi, S.Pd with a score of 80
Decision Support System for Selection of the Best Employees based on Performance with the Topsis Method Ghina Ramadhanti Andonela; Mardison; Dodi Guswandi
Journal of Computer Scine and Information Technology Volume 9 Issue 2 (2023): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v9i2.68

Abstract

Selection of the best employees at Wali Nagari is an activity carried out by the Wali Nagari by carrying out this activity to determine the best employees at the Nagari. In determining the selection of the best employee candidates in Nagari Singguling, this research uses a decision support system (SPK) concept with the TOPSIS method. The decision support system that was built can provide recommendations to Nagari for the best employee candidates at Nagari Singguling. The TOPSIS method used can carry out a calculation that begins with determining the criteria of the variables used, then creates a matrix and proceeds to the solution matrix process. In the end, the process will enter the ranking stage until the output can recommend the best prospective employees at Nagari Singguling. The results obtained in this study also provide a model or form of a semi-structured system, in determining the best prospective employees in Nagari Singguling using the TOPSIS method decision support system. The results of this study are based on data testing of 9 alternatives, it can be determined that alternative A5 on behalf of Dona Riona S.Pd is the best employee with a value of 0.63 . So that the benefit that will be obtained is to provide convenience
K-Medoids Customer Segmentation Algorithm by Utilizing Customer Relationship Management Imam Shodako Afari
Journal of Computer Scine and Information Technology Volume 9 Issue 2 (2023): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v9i2.69

Abstract

Sales is an activity that needs to be considered in the company, because the end of production is sales. The more sales that occur, the need for a system that can make it easier to process sales. At this time, motorbikes are one of the profitable sales to market. Central Motor Yamaha is present as a dealer that sells various motorcycle products, with the cheapest and original product claims. Customer segmentation is used at the Lubuk Begalung Yamaha Motor Center to group customers, which are processed from sales transaction data. By utilizing Customer Relationship Management (CRM) provides interaction between dealers and customers to increase sales. CRM comes in the form of a system that makes it easier for customers to make purchases, which has various features in it, of course it makes it very easy for customers to use. One method that can be used in CRM is data mining. With the k-medoids method clustering technique produces priority and ordinary customer clusters. Problems at Sentral Motor Yamaha Lubuk Begalung can be resolved using this method, of course it is useful for the company, namely attracting customers with the various features it contains. By implementing the K-Medoids grouping technique, it is hoped that it will become a customer relationship management strategy with the aim of attracting new customers
Determining Marketing Strategy to Support Customer Relationship Management with the Apriori Algorithm Dheatri Agrema; Febri Hadi; Pradani Ayu Widya Purnama
Journal of Computer Scine and Information Technology Volume 9 Issue 2 (2023): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v9i2.70

Abstract

Business competition has forced companies to be more selective in implementing their marketing strategies. This increasingly rapid technological development is an aspect that can be utilized in achieving ease of doing everything. The development of this technology can have a good impact on business people, Customer Relationship Management (CRM) is one of the business strategies to meet the goals of the store. To fulfill these objectives, the authors conducted an analysis of sales transaction data using assistive devices such as data mining. Data mining is part of analytical Customer Relationship Management (CRM) which is used to find patterns in data. By applying the Apriori Algorithm or Association Rule to achieve this business strategy. The Apriori algorithm is a method for finding relationship patterns between one or more items in a dataset. By using sales transaction data at the Rahmat Elektronik Store, it is possible to find out which products are in great demand by customers every time they shop at the Rahmat Elektronik Store. The results of applying the Apriori Algorithm or Association Rule use Minimum Support 5% and Minimum Confidance 50%
Simple Additive Weighting (SAW) Method to Provide Recommendations for Selection of Graphic Processing Unit (GPU) Adrul Hutama; Fajrul Islami; Dodi Guswandi
Journal of Computer Scine and Information Technology Volume 9 Issue 2 (2023): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v9i2.71

Abstract

CV. Venes Jaya is a company that operates in the field of technological equipment such as computer hardware, monitors, recording equipment, communications equipment, networks, and many more. With the complete range of products sold and reliable teams, this company still has problems in providing recommendations for GPU selection to customers. This process is still carried out manually, namely by providing recommendations according to the funds owned by the customer. If there is more than one alternative that suits the funds owned by the customer, employees will have difficulty choosing them. Such a manual process is likely to be wrong or mistaken. Therefore, there is a need for innovation that can help and make it easier for employees to provide recommendations for GPU selection to customers, namely by implementing a Decision Support System (SPK) that uses the Simple Additive Weighting (SAW) method built with the VB programming language, and a MySQL database. in determining GPU recommendations that will be given to customers. This system is expected to help CV. Venes Jaya in providing GPU recommendations quickly, precisely and accurately. The results obtained from this research are that Alternative 5, namely the Gigabyte RTX 3080 Ti Gaming OC, was selected as the best alternative with a total value of 1. These results are the results obtained from the Decision Support System created by the author, where these results will be used as recommendations to customers in choosing Graphics . Processing Unit (GPU). This system can help CV. Venes Jaya in providing GPU recommendations to customers quickly, precisely and accurately
Selection of Quality Textile Materials as a Support for Supply Chain Management with the Weighted Product Method Alvi Martunasia; Teri Ade Putra; Raja Ayu Mahessya
Journal of Computer Scine and Information Technology Volume 9 Issue 2 (2023): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v9i2.72

Abstract

Decision making is a matter that is very influential in the process of dealing with the selected alternative. At this time in making decisions is no longer just by human reason. Human limitations in thinking to solve a problem can now be assisted by computerization. The use of computers has developed from just processing data or presenting information, to being able to provide choices as a support for decision makers. The development of information technology has enabled decision makers to be made more quickly and accurately. The research aims to apply the weighted product method in reducing errors in the selection of quality textile materials. This research aims to facilitate the selection of quality textile materials. This research aims to be a good solution for khatialo shops in selecting quality textile materials. The weighted product (WP) method is one of the methods used to complete a decision-making system by considering the criteria and weights . Then proceed with the ranking process which will select the best alternative from a number of alternatives, in this case the alternative in question is the selection of quality textile materials based on the specified criteria. The results obtained with the highest rating value were achieved by the 4th alternative called Semi Sutra with the code TK04 alternative
Customer Relationship Management to Retain Customers with the Topsis Method Muhammad Nuzul Ikhsan; Abulawafa Muhammad; Raja Ayu Mahessya
Journal of Computer Scine and Information Technology Volume 9 Issue 2 (2023): JCSITech
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35134/jcsitech.v9i2.73

Abstract

In the era of globalization, the increasingly rapid development of technological sophistication is an aspect that can be utilized to achieve convenience, including the flow of information. Each company has its own way of retaining customers. At the Metacom store, efforts to retain customers have not been carried out in an updated and online manner. Customer Relationship Management (CRM) is one way of retaining customers to fulfill this goal by combining CRM and TOPSIS methods. For this reason, customer data analysis was carried out at the Metacom store using the Topsis method, from 10 transaction data, 2 were recommended to be given a discount on the goods. The results of applying TOPSIS use ranking results from goods transaction results. This Topsis analysis can be used to change a CRM application, where this application is equipped with a sales information system as well as goods data collection (Cashier) and a sales application using the Topsis method with a combination of these two methods in the Metacom Store. From the processed data

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