Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika最新文献_第5页

PEMILIHAN BIBIT KELINCI NEW ZEALAND WHITE (NZW) TERBAIK DENGAN MENGGUNAKAN METODE VIKOR 新西兰白(新西兰)的兔子幼苗最好采用VIKOR方法

Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Pub Date : 2021-01-26 DOI: 10.33751/KOMPUTASI.V18I1.2411

M. Mulyati, Erniyati Erniyati

引用次数: 1

IMPLEMENTASI WEIGHT PRODUCT MODEL (WPM) DALAM MEMILIH JENIS ASURANSI

Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Pub Date : 2021-01-26 DOI: 10.33751/KOMPUTASI.V18I1.2397

Siska Andriani, Dinar Munggaran Akhmad, M. Ulya

引用次数: 2

PERBANDINGAN KINERJA METODE PRA-PEMROSESAN DALAM PENGKLASIFIKASIAN OTOMATIS DOKUMEN PATEN 专利文件自动分类中处理方法的绩效比较

Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Pub Date : 2020-07-14 DOI: 10.33751/komputasi.v17i2.2148

B. Nugroho, Asep Denih

引用次数: 0

IMPLEMENTASI DATA MINING UNTUK MENGETAHUI POLA PEMBELIAN OBAT MENGGUNAKAN ALGORITMA APRIORI 数据挖掘实现，使用杏算法了解药物购买模式

Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Pub Date : 2020-07-14 DOI: 10.33751/komputasi.v17i2.2150

Nadya Febrianny Ulfha, R. Amin

引用次数: 1

PENGEMBANGAN MODEL ANALISIS SPASIAL UNTUK MENSIMULASIKAN RESPON HIDROLOGI 模拟流体反应的空间分析模型的发展

Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Pub Date : 2020-01-27 DOI: 10.33751/komputasi.v17i1.1732

Asep Denih, Emas Kurnia, Umar Mansyur

{"title":"PENGEMBANGAN MODEL ANALISIS SPASIAL UNTUK MENSIMULASIKAN RESPON HIDROLOGI","authors":"Asep Denih, Emas Kurnia, Umar Mansyur","doi":"10.33751/komputasi.v17i1.1732","DOIUrl":"https://doi.org/10.33751/komputasi.v17i1.1732","url":null,"abstract":"Urban expansion is a major driving force altering local and regional hydrology. To explore these environmental consequences of urbanization this research would like to forecast the land-use change and assesses the long-term runoff water through hydrologic modeling. To know the detrimental effects of future disasters, especially drought, flood, and tropical storms, this research provided by a simulation technique, and based on two skenarios. First, simulation with a land-use change skenario. Second, simulation without a land-use change skenario. It provided by some parameters such as characteristics of catchments, land use, contour, river, soil, infiltration, and rainfall intensity. The objective of using different skenario is to know what kind of hydrological responses. Moreover, the outcomes would indicate that land use and climate change would likely be subjected to impacts the tremendous loss of life and damage due to excessive runoff and flooding. This is the primary watershed that affects the greater Jakarta urban zone, which has had increasingly severe flooding annually impacting and displacing hundreds of thousands of people. However, urbanization will considerably increase runoff water. Finally, the results of this research would have significant implications to support decision-makers, academia, and the wider public in preparing urban planning, water resources management, development of better regulations and their effective implementations. The techniques described in this proposed research can be used in other areas.","PeriodicalId":339673,"journal":{"name":"Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika","volume":"142 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116111828","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}

引用次数: 0

PEMODELAN SPASIAL BAHAYA LONGSOR DI DAS CILIWUNG HULU, KABUPATEN BOGOR

Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Pub Date : 2020-01-27 DOI: 10.33751/komputasi.v17i1.1734

Muhamad Rizal Gojali, B. Tjahjono, Ernan Rustiadi

引用次数: 0

PENENTUAN DAERAH PRIORITAS PELAYANAN AKTA KELAHIRAN DENGAN METODE K-NN DAN K-MEANS 从n - nn和k -手段确定出生证服务的优先区域

Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Pub Date : 2020-01-27 DOI: 10.33751/komputasi.v17i1.1735

Ade Muchlis Maulana Anwar, Prihastuti Harsani, Aries Maesya

{"title":"PENENTUAN DAERAH PRIORITAS PELAYANAN AKTA KELAHIRAN DENGAN METODE K-NN DAN K-MEANS","authors":"Ade Muchlis Maulana Anwar, Prihastuti Harsani, Aries Maesya","doi":"10.33751/komputasi.v17i1.1735","DOIUrl":"https://doi.org/10.33751/komputasi.v17i1.1735","url":null,"abstract":"Population Data is individual data or aggregate data that is structured as a result of Population Registration and Civil Registration activities. Birth Certificate is a Civil Registration Deed as a result of recording the birth event of a baby whose birth is reported to be registered on the Family Card and given a Population Identification Number (NIK) as a basis for obtaining other community services. From the total number of integrated birth certificate reporting for the 2018 Population Administration Information System (SIAK) totaling 570,637 there were 503,946 reported late and only 66,691 were reported publicly. Clustering is a method used to classify data that is similar to others in one group or similar data to other groups. K-Nearest Neighbor is a method for classifying objects based on learning data that is the closest distance to the test data. k-means is a method used to divide a number of objects into groups based on existing categories by looking at the midpoint. In data mining preprocesses, data is cleaned by filling in the blank data with the most dominating data, and selecting attributes using the information gain method. Based on the k-nearest neighbor method to predict delays in reporting and the k-means method to classify priority areas of service with 10,000 birth certificate data on birth certificates in 2019 that have good enough performance to produce predictions with an accuracy of 74.00% and with K = 2 on k-means produces a index davies bouldin of 1,179","PeriodicalId":339673,"journal":{"name":"Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125195146","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}

引用次数: 0

IMPLEMENTASI METODE DATA MINING APRIORI PADA APLIKASI PENJUALAN PT. TIGA RAKSA SATRIA 数据挖掘方法的杏酸应用于PT.三重RAKSA销售应用程序

Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Pub Date : 2020-01-27 DOI: 10.33751/komputasi.v17i1.1736

Siti Qomariah, Hanifah Ekawati, Sepriyadi Belareq

{"title":"IMPLEMENTASI METODE DATA MINING APRIORI PADA APLIKASI PENJUALAN PT. TIGA RAKSA SATRIA","authors":"Siti Qomariah, Hanifah Ekawati, Sepriyadi Belareq","doi":"10.33751/komputasi.v17i1.1736","DOIUrl":"https://doi.org/10.33751/komputasi.v17i1.1736","url":null,"abstract":"PT. Tiga Raksa Satria, Tbk is a company engaged in trading in the form of selling products of various brands to shops in Samarinda. the recording process of selling has been done computerized, but the sales data has not been processed optimally. there is no application that analyzes sales data for category, planning and service to consumers. Analyzing sales data is an important part of the company, an analysis of sales results has an impact on the profits to be gained by the company. Datamining is the science of digging up valuable information and knowledge in databases. One algorithm in data mining is a priori algorithm. Datamining is widely implemented in various fields such as business, commerce, and others. This research aims to make an application with the Application of Data Mining Basketball Analysis Method with Apriori Algorithm to process the sales data in a more structured, detailed and know the problems in product sales. This application generates rules that help draw conclusions needed for drawing conclusions of strategic information for companies regarding sales data. Application made with the application of a priori methods helps in the analysis of sales data that is owned.","PeriodicalId":339673,"journal":{"name":"Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121260633","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}

引用次数: 2

SISTEM PEMANTAUAN PERTUMBUHAN BATITA MENGGUNAKAN METODE FUZZY TSUKAMOTO BATITA生长监督系统采用模糊的TSUKAMOTO方法

Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Pub Date : 2020-01-27 DOI: 10.33751/komputasi.v17i1.1738

Irma Anggraeni, Yusma Yanti

引用次数: 1

PERANCANGAN SISTEM PAKAR PENENTUAN USAHATANI BUDIDAYA PADI MENGGUNAKAN METODE CERTAINTY FACTOR BERBASIS ANDROID 设计专家确定水稻种植的方法是基于ANDROID的确定因素

Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Pub Date : 2019-12-31 DOI: 10.33751/komputasi.v16i2.1623

N. GesaRizky, S. Setyaningsih, A. Saepulrohman

{"title":"PERANCANGAN SISTEM PAKAR PENENTUAN USAHATANI BUDIDAYA PADI MENGGUNAKAN METODE CERTAINTY FACTOR BERBASIS ANDROID","authors":"N. GesaRizky, S. Setyaningsih, A. Saepulrohman","doi":"10.33751/komputasi.v16i2.1623","DOIUrl":"https://doi.org/10.33751/komputasi.v16i2.1623","url":null,"abstract":"Rice is a staple food in several countries of Southeast Asia including Indonesia, rice is the main commodity that acts as the fulfillment of basic needs of carbohydrate and protein. As one of the big rice producer and consumer countries, the increase of rice production is very influential to the state economic condition, effective and efficient national rice production will be achieved if cultivation technology is applied in specific location, in accordance with environmental conditions and farmers. However, the number and ability and extension agents are very limited to serve farmers whose land is diverse. The existence of tools to determine the proper way of cultivating rice-specific locations, easy to use and disseminated will help solve many problems above, The tool used in this study is artificial intelligence is the expert system to help solve the problem due to the limited number of experts or extension workers, many methods used in expert system one of them is certainty factor method which is a method that defines the size of certainty of a fact or rule, to describe the level of expert belief to a problem encountered, by using certainty factor this can level of expert beliefs with android based.","PeriodicalId":339673,"journal":{"name":"Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114204746","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}

引用次数: 0