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Jurnal Sains dan Teknologi Informasi
Published by Forum Kerjasama Pendidikan TInggi
ISSN : -     EISSN : 2809610X     DOI : https://doi.org/10.47065/jussi.v3i2.4883
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering
Bidang kajian dari Jurnal Sains dan Teknologi Informasi, yaitu: Teknik Informatika, Manajemen Informatika, Sistem Informasi, Teknik Komputer, Kecerdasan Buatan, dan Computer Science.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol 2 No 3 (2023): Juni 2023" : 5 Documents clear
Penerapan Algoritma Apriori Dalam Penjualan Produk Br Sembiring, Yulia Ananda; Sembiring, Emy Alfiani
Jurnal Sains dan Teknologi Informasi Vol 2 No 3 (2023): Juni 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jussi.v2i3.4595

Abstract

Micro, small and medium enterprises (UMKM) in the shopping sector have great potential to meet the needs of people in the middle to lower and upper economic categories. How ever, small shopsoften experience problems in managing the supply of goods or materials needed by customers. This can lead to a lack of goods that customers want, and ultimately disappoint them. There fore, inventory control is very important in maintaining customer satisfaction and business continuity small shops. To help overcome this problem, research can be carried out using the Apriori algorithm. This algorithm can help identify the most sold products, so small shops can manage optimal inventory. Thus, small shops can meet customer needs effectively and efficiently, and avoid product shortages that can interfere with customer satisfaction. In research, several variables are used to collect data, such as transaction date,product name, and the amount of sales/purchases. This data can then be analyzed using the Apriori algorithm, so that it can be concluded that final result of the confidence or 2 itemset is that if you buy sugar, you will buy rice and if you buy eggs, will you buy rice
Clustering Pasien Yang Layak Donor Darah Dengan Algoritma K-Means Studi Kasus Pmi Kota Medan Ramadhan, M Rizky
Jurnal Sains dan Teknologi Informasi Vol 2 No 3 (2023): Juni 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jussi.v2i3.4596

Abstract

Adequate supply of blood is important in health services, especially in emergency situations. In an effort to increase the efficiency and effectiveness of the selection process for prospective blood donors, this study aims to apply the K-Means algorithm in clustering patients who are eligible to become blood donors at PMI Medan City. Patient data including age, weight, hemoglobin level and blood pressure were obtained from UDD PMI Medan City. The K-Means algorithm is then applied to the data to form groups based on patient characteristics. The results of the study show that the K-Means algorithm is able to classify patients into groups based on their characteristics efficiently, and can provide guidance to PMI Medan City in selecting potential blood donors and improving the collection and distribution of blood supplies in a more targeted manner
Sistem Pendukung Keputusan Penetuan E-Commerce Dengan Metode Topsis Bagi Umk Di Area Kota Medan Mengunakan Pembobotan Roc Nababan, David Juanda
Jurnal Sains dan Teknologi Informasi Vol 2 No 3 (2023): Juni 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jussi.v2i3.4597

Abstract

SPK is an implementation of decision-making theories that have been introduced by sciences such as operations research and management. However, in DSS itself, a method or basis for a decision is needed which is to be established as a reference for an explanatory formula that is relevant to the running of a decision to be reached. A decision support system (DSS) is a decision support system that can assist in handling or solving problems in a company or in a daily environment, in determining a problem we need data that we will take in a company or in an environment. . In writing this is an example of a problem that is happening with the case study of the Best Market Place Application Selection in the city of Medan, therefore the author uses a method that will be able to find alternative data, therefore the author creates a decision support system that will be able to determine the best market place application assessment process in the city of Medan. This decision support system was created using the TOPSIS method with ROC weighting where this method can be used or can be used as a reference in determining a problem because it aims to find out how many of the Best Market Place Application Names in Medan City are Frequently Used, after being tested try to give a weight value to the criteria and it can be modified which aims to find out how many criteria will be added in each criterion that has its own weight value and after that a ranking is made called the ranking can already determine the best application in the city of Medan, namely ( T4) Shopee with a score of 2,219. So because of this it was confirmed or very easy for the team to select in the decision making and was selected as the Best Market Place Application in the city of Medan.
Sistem Pendukung Keputusan Pemilihan Virtual Private Server (VPS) Menggunakan Metode MOORA Amanda, Vriska; Khairunnisa, Siti
Jurnal Sains dan Teknologi Informasi Vol 2 No 3 (2023): Juni 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jussi.v2i3.4598

Abstract

Virtual Private Server (VPS) is a hosting solution where one physical server is divided into several isolated virtual servers. Each virtual server operates independently with the resources assigned to it. VPS uses virtualization technology that allows multiple virtual servers to run on one physical server. The main advantage of VPS is the ability to have complete control over the server without the need to manage complex physical infrastructure. In addition, VPS also offers a higher level of privacy and security compared to share hosting. However, in choosing a VPS, several problems can arise. Too few resources can hurt website or application performance, while too many resources can result in waste and unnecessary costs. Also, issues such as downtime, poor connection speed, or server constraints can cause disruption to the hosted website or application. To choose a VPS that suits user needs, the MOORA method is used as a decision support system. In this case, 9 VPS providers were selected which would be evaluated based on the criteria of CPU, RAM, Storage, Bandwidth and Cost. After applying the MOORA method, alternative A4 with a Yi value of 1,590 was declared the best alternative, and the Exabytes provider was considered the best VPS service provider.
Sistem Pendukung Keputusan Pemilihan Karyawan Terbaik CV Family Computer Menggunakan Metode WASPAS Dengan Pembobotan ROC Sitepu, Riezky Dermawan Syam; Zebua, Taronisokhi
Jurnal Sains dan Teknologi Informasi Vol 2 No 3 (2023): Juni 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jussi.v2i3.4599

Abstract

The success and sustainability of a company greatly depend on the quality of its employees. However, in the competitive business world, selecting the best employees is not an easy task. To enhance efficiency and effectiveness in the employee selection process, many companies use a Decision Support System (DSS) as a tool. One of the methods used in the DSS is the Weighted Aggregated Sum Product Assessment (WASPAS) with the weighting method known as the Rank Order Centroid (ROC), due to the limitations and lack of precision in providing weighting values in the WASPAS method, the use of the ROC method is necessary in determining the weight values for criteria and subcriteria. Initially expressed as sentences, the criteria and subcriteria are transformed into numerical values based on the ROC calculation method. This article discusses the implementation of the DSS using the WASPAS method and ROC weighting in the selection of the best employees at CV Family Computer, a company in the information technology industry, this method combines weighting techniques with the ROC method and outlines the implementation steps in selecting the best employees at CV Family Computer. The results obtained after applying the ROC method are used to assign weights and determine the level of importance for each criterion. The WASPAS method is then applied to rank each alternative. Consequently, in this study of selecting the best employees, alternative A7, Danta Panjaitan, is identified with a value of 2.8857.

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