Fica Oktavia Lusiana, Indri Fatma, Agus Perdana Windarto
{"title":"Estimasi Laju Pertumbuhan Penduduk Menggunakan Metode Regresi Linier Berganda Pada BPS Simalungun","authors":"Fica Oktavia Lusiana, Indri Fatma, Agus Perdana Windarto","doi":"10.47065/jimat.v1i2.104","DOIUrl":"https://doi.org/10.47065/jimat.v1i2.104","url":null,"abstract":"The Central Statistics Agency (CSA) is a non-departmental government agency that reports directly to the president. The use of data collection is for state data collection for the needs of economic strategies, infrastructure, and so on. So that the CSA institution must be able to predict the estimated rate of population growth. Particularly one of the CSA institutions in North Sumatra, CSA Simalungun, has experienced problems in estimating the population growth rate. Multiple linear regression model is the development of a simple linear regression model. If the simple linear regression model consists of only one independent variable and one dependent variable, then in multiple linear regression the number of independent variables is more than one and one dependent variable. The stages carried out in the data mining process begin with data selection from source data to target data, the preprocessing stage to improve data quality, transformation, data mining and interpretation and evaluation stages which produce output in the form of new knowledge which is expected to make a better contribution.","PeriodicalId":236817,"journal":{"name":"Journal of Informatics Management and Information Technology","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130481798","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Dewinta Marthadinata Sinaga, Wiranto Hernandesz Sirait, Agus Perdana Windarto
{"title":"Analisis Algoritma Apriori Dalam Menentukan Pola Pemesanan Konsumen Pada Ucokopi","authors":"Dewinta Marthadinata Sinaga, Wiranto Hernandesz Sirait, Agus Perdana Windarto","doi":"10.47065/jimat.v1i2.105","DOIUrl":"https://doi.org/10.47065/jimat.v1i2.105","url":null,"abstract":"Ucokopi is a business engaged in the sale of food and beverages for the general public. The menus are served in the form of snacks such as french fries, fried rice, sausages and so on, as well as various drinks processed at economical prices, especially for students and students. The large number of consumer orders everyday will increase the amount of transaction data. Existing data can be processed to determine the combination of food and beverage menu itemset that consumers often buy so as to produce important information. The problem that often occurs is the unavailability of consumer order menus which are classified as in demand. This research was conducted in Pematangsiantar city. The purpose of this study was to analyze a sales strategy through the association search process. Based on these results, it can be obtained that if you buy Ginger Milk, it is 100% most likely to buy Sausages, if you buy Milk Coffee, 88% are most likely to buy Penyet Chicken Rice, if you buy Sausages then 75% are most likely to buy Potatoes. It is hoped that the research results can provide information to Ucok Cafe business owners in providing food and beverage stocks that are most in demand and can adjust the menu placement based on a combination of menu itemset that is formed to increase sales.","PeriodicalId":236817,"journal":{"name":"Journal of Informatics Management and Information Technology","volume":"271 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133847342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Saidah Rizki Tanjung, Mesran Mesran, Sarwandi Sarwandi, M. V. Siagian
{"title":"Penerapan Metode COPRAS dan ENTROPY dalam Pemilihan Anggota Badan Pengawas Pemilihan Umum (BAWASLU)","authors":"Saidah Rizki Tanjung, Mesran Mesran, Sarwandi Sarwandi, M. V. Siagian","doi":"10.47065/jimat.v1i2.99","DOIUrl":"https://doi.org/10.47065/jimat.v1i2.99","url":null,"abstract":"The General Election Supervisory Agency (BAWASLU) is an election management institution that is tasked with overseeing the implementation of elections throughout the territory of the Unitary State of the Republic of Indonesia. Members of the General Election Supervisory Agency (BAWASLU) are those who have the ability to supervise and are not members of political parties. It is hoped that an effective recruitment process can attract BAWASLU members who really meet their needs. BAWASLU often faces difficulties in selection because it still uses a manual system. Therefore, it is necessary to make a decision support system so that the Chairperson of BAWASLU can give an assessment to each new BAWASLU member. The research carried out is to create a system that can provide consideration in making decisions about the selection of Bawaslu members. By using the Entropy method used to calculate the weighting of the criteria, and produce the reject rate as the main criterion, the Entropy method investigates the harmony in discrimination between a set of alternative value data on certain criteria described in the Decision Matrix (DM). While the COPRAS method is used for ranking, the effect of maximizing and minimizing the criteria on the evaluation results is considered separately. The selection of the best alternative is based on considering the ideal and anti-ideal solutions","PeriodicalId":236817,"journal":{"name":"Journal of Informatics Management and Information Technology","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127927153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}