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<![CDATA[Analysis Of Acceptance Of E-Service Using Unified Theory Of Acceptance And Use Of Technology (Utaut) Faculty Of Engineering, Yogyakarta State University ]]>
<![CDATA[Byan Dicky Novaldi]]>
<![CDATA[ Jurnal Mandiri IT Vol. 8 No. 2 (2020): January: Coputer Science and related. ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
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<![CDATA[This study aims to determine the factors that influence the acceptance and use of the application of E-Service services at the Faculty of Engineering, Yogyakarta State University. The model used in this study is The Unified Theory of Acceptance and Use of Technology (UTAUT). This research method uses an explanative quantitative approach. The population in this study were students using E-Service at the Faculty of Engineering, Yogyakarta State University. Sampling of 100 students. The data collection method used is a questionnaire. The analysis technique uses Partial least square (PLS) analysis. The results of this study are that performance expectations have a positive effect on student interest in using E-Service, (Effort expectations have a positive effect on student interest in using E-Service.]]>
<![CDATA[Selection Decision Support System Pon Hockey Athletes Central Java Contingent Using Ahp And Promethee Methods ]]>
<![CDATA[Afif Setyo Nugroho]]>
<![CDATA[ Jurnal Mandiri IT Vol. 8 No. 2 (2020): January: Coputer Science and related. ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
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<![CDATA[Hockey is one of the sports that will be competed in the National Sports Week (PON). In the selection process for the Central Java contingent hockey athletes involved many criteria that were assessed, so that in the selection a multi-criteria decision support system was needed for more objective results. The method used in the decision support system for the selection of the Central Java contingent hockey athletes is a combination of the AHP method and the Promethee method. The AHP method is used to weight the criteria and test the consistency of the pairwise comparison matrix, while the Promethee method is used to rank in determining the best alternative. The purpose of the study was to determine the design and build a decision support system for the selection of Central Java contingent PON hockey athletes using a combination of AHP and Promethee methods, and to find out the results of implementing a combination of AHP and Promethee methods of decision support for the selection of PON hockey athletes from the Central Java contingent. The result obtained is a decision support system that has the output of a hockey athlete ranking from the highest net flow value to the lowest net flow value. From the ranking results, it was found that male hockey athletes who had the highest score were athletes with code A3 with a value of 0.564 and female hockey athletes who had the highest score were athletes with code A23 with a value of 0.172,]]>
<![CDATA[Application Of Data Mining For Prediction Of Sales Of Best-Selling Electronic Products Using K-Nearest Neighbor Method ]]>
<![CDATA[Yulia Rizki Amalia]]>
<![CDATA[ Jurnal Mandiri IT Vol. 8 No. 2 (2020): January: Coputer Science and related. ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
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<![CDATA[PT. Bintang Multi Sarana Palembang is one of the largest electronics companies in South Sumatra. This company has a wide variety of electronic products on offer. Judging from the large number of consumer demands for electronic products based on sales data for the last 3 years, predictions are needed for sales of the best-selling electronic products, in order to make it easier for the company to plan stock supply. To determine the sales of the best-selling electronic products, data mining classification techniques and the K-Nearest Neighbor algorithm are used. The results of this study are predictions of the best selling electronics sales as many as 6 types of products from 22 types of products sold, namely CTV, Refrigerator, DVD, Speaker, Washing Machine and LCD. Based on the accuracy value of the best-selling product sales classification of 92.51%.]]>
<![CDATA[Multimedia Web Development As Video Viewing Media With Php In Local Network ]]>
<![CDATA[Tiara Putra]]>
<![CDATA[ Jurnal Mandiri IT Vol. 8 No. 2 (2020): January: Coputer Science and related. ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
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<![CDATA[Exploring content collections is one of the things that internet cafe users do that is highly expected by managers. Activities carried out to select collections that are interesting and entertaining or even needed by users. This research was conducted with the aim of developing a web-based software to help explore the available film collections, (2) ensuring the quality of the software developed in accordance with the ISO 25010 standard on aspects of functional suitability, usability, and reliability. The research methodology used is Research and Development (R&D) with a waterfall development model. This development model has stages starting from analysis, design, implementation and research testing. The results of this study are: (1) an information system to assist the browsing of film collections for internet café users. (2) the system has met the software quality standard according to the ISO 25010 standard in the functional suitability aspect of 100% (very good), usability aspect of 75.97% (good), and 100% reliability aspect.]]>
<![CDATA[Information System Data Mining Market Basket Analysis of Purchase Patterns at Mariden Stores Bandar Lampung ]]>
<![CDATA[Raynaldi Yudhia]]>
<![CDATA[ Jurnal Mandiri IT Vol. 8 No. 2 (2020): January: Coputer Science and related. ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
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<![CDATA[The tendency of customers to buy goods at the same time is one of the factors in setting the self-service layout to optimally place goods. A strategic and precise product layout in its arrangement will be more easily accessible by consumers and will not waste time. For this reason, it is necessary to create a system model that can determine product layout patterns in supermarkets by seeking the highest confidence. Data mining is one field that is growing rapidly because of the large need for added value from large-scale databases that are increasingly being accumulated. For this reason, the market basket analysis method is used. The market basket is defined as an itemset that is purchased simultaneously by customers in a transaction. This method begins with calculating the Apriori Algorithm to find a number of frequent itemsets and continues with the formation of association rules. The results will produce rules that are very useful for providing information to Mariden stores about the placement of goods according to consumer consumption patterns, providing convenience to consumers in the process of finding goods to be purchased without having to ask the shop owner, being able to see the stock of goods that will run out and can determine the stock of goods because this can actually affect consumer spending tastes and sales of a product.]]>
<![CDATA[Application of the K-Means Clustering Algorithm in Grouping Regencies/Cities in North Sumatra Province Based on Human Development Index Indicators ]]>
<![CDATA[Sonia Sihombing]]>;
<![CDATA[Rahmat W. Sembiring]]>;
<![CDATA[Eka Irawan]]>
<![CDATA[ Jurnal Mandiri IT Vol. 11 No. 1 (2022): July: Computer Science and Field. ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
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DOI: 10.35335/mandiri.v11i1.124
<![CDATA[This research aims to group districts/cities in the Province of North Sumatera based on the Human Development Index Indicator. To solve this problem, the researcher uses the K-Means Clustering Algorithm Method. Where the source of research data is collected based on documents describing the Human Development Index produced by the Central Bureau of Statistics. The data used in this researh is the Human Development Index data and the Human Development Index Indicator in 2020. The data will be processed by doing clustering in 3 clusters namely high, medium, and low level of development index. By doing this research, it is expected to be able to the provincial government of North Sumatera regarding the policies that need to be carried out to create equitable development in the Province of North Sumatera, as well as increase the Human Development Index in the Province of North Sumatera.]]>
<![CDATA[Application of AHP Method in Determining Bank Selection for Account Opening ]]>
<![CDATA[Supriatin]]>;
<![CDATA[Adelia Alvi Yana]]>;
<![CDATA[Setiaji]]>;
<![CDATA[Astrilyana]]>
<![CDATA[ Jurnal Mandiri IT Vol. 11 No. 1 (2022): July: Computer Science and Field. ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
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DOI: 10.35335/mandiri.v11i1.125
<![CDATA[Banks are business entities that collect public funds as a place to carry out various financial-related transaction activities that people generally use to save money. Saving or saving money is an activity to set aside a portion of income for future needs. There are many kinds of banks in Indonesia that offer all the advantages ranging from administration to the interest given to customers. Decision Support System (DSS) is one of the decision-making methods that can assist a person in making accurate and targeted decisions. Many problems can be solved by using SPK, one of which is determining the selection of the best bank for account opening. Therefore, the author will examine and compare several bank names and bank criteria needed by prospective customers to open a new account. Data was collected by means of observation, interviews and literature study. It is hoped that this writing and research can add insight to anyone. The method used in this research is the Analytical Hierarchy Process (AHP) method. Analytical Hierarchy Process (AHP) is a method of decision support system by using a hierarchy and making comparisons on each criterion and alternative that is considered in decision making. It is very important in choosing a bank because the better the facilities and types of services provided by the bank, the greater satisfaction with the customer. In this study, the authors compare four banks that are widely chosen by the general public, namely Mandiri, BCA, BRI and BNI with four selection criteria including Administration, Interest, Transaction and Investment Limits located in the Greater Jakarta area (Jakarta Bogor Depok Tangerang Bekasi).]]>
<![CDATA[Prediction of Tidal Data Using Cloud Computing-Based Support Vector Regression in Alor, East Nusa Tenggara ]]>
<![CDATA[Ruly Adhitya]]>;
<![CDATA[Irawati Devi]]>;
<![CDATA[Imel Novia Sari]]>
<![CDATA[ Jurnal Mandiri IT Vol. 11 No. 1 (2022): July: Computer Science and Field. ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
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DOI: 10.35335/mandiri.v11i1.128
<![CDATA[Alor Regency is an area located at 8o6' South Latitude – 8o36' South Latitude and 123o48' East Longitude – 25o 48' East Longitude. Alor as an archipelagic region with wide waters and rich in various types of fishright. The tides (tidal) of sea water is a phenomenon of periodic ups and downs of sea levels that can affect the activities of coastal communities. The existence of today's technological advances by predicting the height of the tides can be a control for the sustainability of community activities in coastal areas affected by the tides. Predictions are made using tidal data in time series since 2019, 2020, and 2021 obtained from the PUSHIDROSAL website using the Support Vector Regression (SVR) algorithm based on Cloud Computing. Therefore, the purpose of this research is to build tidal predictions in Alor, NTT which then integrates all datasets into the Cloud Computing environment to speed up data processing.parameter tuning is done with the Radial Basis Function (RBF) kernel using a gamma parameter of 1000 which produces an RMSE value of 0.0105 and a correlation of 1, so the model is considered quite good in predicting tides at the Alor pushidrosal station, East Nusa Tenggara.]]>
<![CDATA[Usability Evaluation on Website E-Fishery using Heuristic Evaluation ]]>
<![CDATA[Sauzan Salsabila Azzahra]]>;
<![CDATA[Maihuhatul Mar'ah]]>;
<![CDATA[Tiara Maharani]]>
<![CDATA[ Jurnal Mandiri IT Vol. 11 No. 1 (2022): July: Computer Science and Field. ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
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DOI: 10.35335/mandiri.v11i1.146
<![CDATA[PT. Multidaya Teknologi Nusantara is a company that produces technology that can automatically feed fish which can be monitored through the eFishery website. A website must include aspects in order to maintain the information available in it and the quality of use. Problems that are often encountered in a website are usability problems which result in users often being mistaken for an inappropriate interface. Since it was founded in 2013, there has never been a usability evaluation of the eFishery website so it is not known whether this website is in accordance with what the community needs or not. Based on these problems, usability assessment needs to be carried out using a heuristic method on the efishery.com website based on suggestions and criticisms from several evaluators who are experts in the field of web programming, UI/UX. The goal is to find out problems with usability on the efishery.com website and as a consideration for the efishery.com website development team for further improvements to suit user needs. This study focuses on the usability assessment of the efishery.com website along with recommended solutions. The method used in this research is Heuristic which involves three experienced experts as evaluators to assess the efishery.com website. From the results of this study, it was found that the problem with the highest percentage was on the principle of esthetics and Minimalist Design with the heuristic code H7 was 46% while the lowest percentage was in the code H2, H3, H4 and H5 of 0%, so it does not have to be repaired.]]>
<![CDATA[Analysis of Using Support Vector Regression (SVR) Algorithm to Predict The Occurrence of Sea Tides in Tanjung Medang, Riau by Saas Storage in Cloud Computing ]]>
<![CDATA[Dinda Faatihah Ramadhani Putri]]>;
<![CDATA[Ita Arianti]]>;
<![CDATA[Julydio Windu Nugroho]]>;
<![CDATA[Silviya]]>
<![CDATA[ Jurnal Mandiri IT Vol. 11 No. 1 (2022): July: Computer Science and Field. ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
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DOI: 10.35335/mandiri.v11i1.154
<![CDATA[Tides in the waters of Tanjung Medang, Riau, have an important role of lives in communities around the coast, one of them is to help a fishermen when they want to go to sea. Cloud computing is an online based data storage that can make various human activities easier. The method that we used for this research is Support Vector Regression (SVR) with Cost (C) and Gamma parameters. The purpose of this research is to obtain the data accuracy and determine the RMSE value of the model in data processing process. The data will be stored through one of the cloud computing technologies, namely Software As A Service (SaaS) storage. Based on the research result, the Support Vector Regression (SVR) model was good enough to be used in processing tidal prediction data used Gamma parameter with a gain value of 100 and RMSE value of 0.451896.]]>
