{"title":"Metode Decision Tree Algoritma C.45 Dalam Mengklasifikasi Data Penjualan Bisnis Gerai Makanan Cepat Saji","authors":"Eka Pandu Cynthia, Edi Ismanto","doi":"10.30645/JURASIK.V3I0.60","DOIUrl":"https://doi.org/10.30645/JURASIK.V3I0.60","url":null,"abstract":"Advances in technology and information currently produces smart innovations in business, which can be called business intelligence. One that we can use is Data Mining technology in digging useful information from sales company data warehouse. The purpose of this research is to apply data mining decision decision tree algorithm C4.5 on fast food outlets business and expected to provide information in the form of sales information about food menu that most liked by customers and less popular (bestselling and less in demand). The methodology used in classifying the sales of this research uses the steps of Algorithm C.45, The process uses five steps in KDD (Knowledge Discovery in Databases), which perpetuates activities such as pre-processing, transformation, data mining, interpretation and evaluation. In addition to performing calculations manually, this research case is also tested using Rapidminer application. From the results of the experiment to find data from the sales data of fast food outlets using algorithm C4.5 results of entropy and the highest gain is 1.501991 on the Food Menu attributes on manual calculations. When using the Rapidminer application the results of the results tree as shown in Figure 3.2. Price (s) - Sold Out - Food Menu (Bento Rice = Less Selling, Chest = Laris) Weight (weight) each attribute: Price (0.738), Menu Type (0.067), Sold Number (0.156), Sales Status (0.040).","PeriodicalId":260997,"journal":{"name":"Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126057198","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}
{"title":"Sistem Pendukung Keputusan Untuk Dispensasi Pembayaran Uang Kuliah","authors":"P. Poningsih, Sundari Retno Andani","doi":"10.30645/JURASIK.V3I0.66","DOIUrl":"https://doi.org/10.30645/JURASIK.V3I0.66","url":null,"abstract":"STIKOM Tunas Bangsa give facility to some students in tuition payment to the underprivileged students in economic but they achieve. For the convenience, it must suitable with applicable criteria established by the Institution. Because of the large number of students who apply for the tuition free dispensation was very much, it is necessary to build a decision support system to give a decision or recommendation associated with the tuition payment dispensation. This decision support system use fuzzy logic that will help STIKOM Tunas Bangsa Institution in determining who is eligible to receive a tuition free dispensation as well as a large percentage of tuition free delays. The criteria that established in this case study was the large of parents income, the number of parental dependent, the number of sibling. Not all who apply for dispensation will be accepted, but only those who meet the criteria will be accepted.","PeriodicalId":260997,"journal":{"name":"Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131854913","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}
{"title":"Aplikasi Saran Buku Bacaan Bagi Pengunjung Perpustakaan AMIK STIEKOM Sumatera Utara Berdasarkan Algoritma Brute Force","authors":"Taronisokhi Zebua, Natalia Silalahi","doi":"10.30645/JURASIK.V3I0.67","DOIUrl":"https://doi.org/10.30645/JURASIK.V3I0.67","url":null,"abstract":"Service of information about books in a library is very helpful and makes it easier for visitors to find the book they want to find. Presentation of information on books available in the library of AMIK Stiekom North Sumatra has not been effective and efficient, because it is still done by looking at the library employee records on the list of books that have been provided. This problem becomes one of the factors to decrease interest in reading the library visitors. Utilization of application suggestions reading books in the library of AMIK Stiekom North Sumatra can be used as a trigger of the interest of visitors to keep reading books available in the library. The built-in book suggestion app works based on brute-force algorithms so that it can present book information relevant to the topic being searched by the visitors.","PeriodicalId":260997,"journal":{"name":"Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika)","volume":"2013 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128013073","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}
{"title":"Menentukan Rujukan Rumah Sakit Terbaik Bagi Pasien BPJS Menggunakan Metode Weighted Sum Model (WSM) Pada Puskesmas","authors":"Maulidani Purba, M. Marsono, Rina Mahyuni","doi":"10.30645/jurasik.v3i0.70","DOIUrl":"https://doi.org/10.30645/jurasik.v3i0.70","url":null,"abstract":"BPJS Health is one of the most important services for the community. For people who are sick and have been registered in BPJS, then the cost of treatment will be borne by the BPJS and the community is what is said as Patient BPJS. However, if a patient BPJS experiencing pain, then the patient first went to the health center or Faskes level 1 before being referred to the Hospital. Therefore, this study aims to build decision support system that has the ability to analyze in determining referral hospital for Patient BPJS at puskesmas or Faskes level 1. The method used in this research is Weighted Sum Model (WSM). The hospital samples used as many as 10 obtained from UPT Puskesmas Padang Bulan, Jln. Jamin Ginting - Medan. Based on calculations performed obtained the highest value of 77.5, ie on RS3. Therefore, this hospital is the foremost hospital as a reference for Patients BPJS. This research is expected to help the Puskesmas or Faskes level I in the city of Medan in providing hospital referrals for patients BPJS.","PeriodicalId":260997,"journal":{"name":"Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126687193","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}
{"title":"Analisis Tingkat Akurasi Algoritma Backpropagation Dalam Prediksi Produksi Ubi Kayu Di Provinsi Indonesia","authors":"Nuraysah Zamil Purba, Deviana Sitompul","doi":"10.30645/jurasik.v3i0.68","DOIUrl":"https://doi.org/10.30645/jurasik.v3i0.68","url":null,"abstract":"Cassava is one type of food that is widely consumed by the people of Indonesia. In addition to the typical taste, cassava is often processed by the community into a cake or snacks that diverse. According to the statistical report of cassava agriculture in Indonesia from 2005-2015 experience up and down. In order to improve the cassava in Indonesia, it is necessary to make a prediction for the coming year so that the government will have a reference to immediately make the right policy to increase the production of cassava in Indonesia to prevent the increase of cassava import quantity. This study aims to determine the development of cassava production in Indonesia, in the hope that it can be used as a reference to increase the production and productivity of cassava. Data used in this research is data of cassava production in province of Indonesia year 2005-2015, algorithm used is Artificial Neural Network Backpropagation. Data analysis was done using Matlab 2011b. This research uses 5 architecture that is 5-8-1, 5-10-1, 5-15-1, 5-18-1, 5-20-1 but the best architecture is 5-18-1 with percentage accuracy 94% and MSE value of 0.007227812. This model is well used to predict cassava in the province of Indonesia.","PeriodicalId":260997,"journal":{"name":"Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129097542","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}
{"title":"Analisa Visualisasi Data Akademik Menggunakan Tableau Big Data","authors":"Dedy Hartama","doi":"10.30645/JURASIK.V3I0.65","DOIUrl":"https://doi.org/10.30645/JURASIK.V3I0.65","url":null,"abstract":"This research explains the benefits of data analysis by visualizing Big data in performing optimization in the academic management environment. The data used is academic information system database that related with student status. In this study the authors use Tableau tools to perform data analysis based on the number of students worksheet, student status, student name table and generate student dashboard data. The results of the analysis obtained by using visualization in bemtuk management graph is very fast and optimize data processing so mengatahui the development of academic database situation.","PeriodicalId":260997,"journal":{"name":"Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128448917","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}
{"title":"Implementasi Metode Electre Dalam Penentuan Karyawan Berprestasi (Studi Kasus: PT. MEGARIMAS SENTOSA)","authors":"Mesran Mesran, Selpi Anita, Ronda Deli Sianturi","doi":"10.30645/jurasik.v3i0.64","DOIUrl":"https://doi.org/10.30645/jurasik.v3i0.64","url":null,"abstract":"One of the important things that an employee must have is not separated from the performance of an employee. For the effectiveness of human resources work in the assessment of the right decision is needed. Therefore, the software is made that can take a decision to recommend employee achievement for PT. Megariamas Sentosa. The software is built on the basis of a decision support system that has the ability to select outstanding employees using the ELECTRE method. This Electre method has criteria that can determine alternative decisions in application in the software. So that decision makers can determine the selection of outstanding employees. The process in this Electre method compares employees with one employee to another and gives out put value of priority intensity in the form of the assessment result / criteria that has been specified by the company to the employee. The result of this process is recommended as an outstanding employee in PT. Megaria Mas Sentosa.","PeriodicalId":260997,"journal":{"name":"Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika)","volume":"185 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134347638","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}
{"title":"Implementasi Metode Algoritma KVC Untuk Pengamanan Pesan","authors":"Yunita Achsanty, H. Abrianto, Ninuk Wiliani","doi":"10.30645/JURASIK.V3I0.62","DOIUrl":"https://doi.org/10.30645/JURASIK.V3I0.62","url":null,"abstract":"Communication through message media or sms, Sort Message Service is not a point to point message but that communication by sent through sms network and stored in database operator. Message security on the network is threatened be read by people who are not responsible or called intercept. Therefore it will be develop some application on the mobile phone to modify the message be come a ciphertext and the information content of the messageis not known by others. In this application, the system encrypts the message into ciphertext using the key entered by the sender and then it will be sends to the destination number. For accepting the message, system will decrypt chipertext become plaintext using key by sender, then the message can be read by receiver. This application can be used by some one who wants to sending the secret message and very important without fear if the information can read by others. This application uses vigenere cipher method. The main parameter is the key and the message itself.","PeriodicalId":260997,"journal":{"name":"Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117109673","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}
L. Simanjuntak, T. Y. M. Sihite, Mesran Mesran, Nuning Kurniasih, Y. Yuhandri
{"title":"Sistem Pendukung Keputusan SNMPTN Jalur Undangan Dengan Metode Electre","authors":"L. Simanjuntak, T. Y. M. Sihite, Mesran Mesran, Nuning Kurniasih, Y. Yuhandri","doi":"10.30645/JURASIK.V3I0.63","DOIUrl":"https://doi.org/10.30645/JURASIK.V3I0.63","url":null,"abstract":"All colleges each year organize the selection of new admissions. Acceptance of prospective students in universities as education providers is done by selecting prospective students based on achievement in school and college entrance selection. To select the best student candidates based on predetermined criteria, then use Multi-Criteria Decision Making (MCDM) or commonly called decision support system. One method in MCDM is the Elimination Et Choix Traduisant la Reality (ELECTRE). The ELECTRE method is the best method of action selection. The ELECTRE method to obtain the best alternative by eliminating alternative that do not fit the criteria and can be applied to the decision SNMPTN invitation path.","PeriodicalId":260997,"journal":{"name":"Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129319175","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}