Pub Date : 2021-01-26DOI: 10.33751/KOMPUTASI.V18I1.2411
M. Mulyati, Erniyati Erniyati
The New Zealand White (NZW) rabbit is a rabbit originating from America that has now spread to Indonesia. NZW rabbits have the advantage that they have large meat weight, small bones and a harvest period of about 3.5 months. However, the quality of the rabbits produced is very influential in the initial selection of seeds. Therefore, a decision support system is needed to select so that the resulting rabbits are as expected. One of the selection methods used in selecting the best rabbit seeds is the Visekriterijumsko Kompromisno Rangiranje (VIKOR) method. VIKOR is a decision-making method that works by looking at the closest solution / alternative as an approach to the ideal solution in ranking. The purpose of this study is to recommend the selection of the best NZW rabbit seeds using the VIKOR method. The results showed that the VIKOR method was able to select the best NZW Rabbit seeds from a number of existing data.
{"title":"PEMILIHAN BIBIT KELINCI NEW ZEALAND WHITE (NZW) TERBAIK DENGAN MENGGUNAKAN METODE VIKOR","authors":"M. Mulyati, Erniyati Erniyati","doi":"10.33751/KOMPUTASI.V18I1.2411","DOIUrl":"https://doi.org/10.33751/KOMPUTASI.V18I1.2411","url":null,"abstract":"The New Zealand White (NZW) rabbit is a rabbit originating from America that has now spread to Indonesia. NZW rabbits have the advantage that they have large meat weight, small bones and a harvest period of about 3.5 months. However, the quality of the rabbits produced is very influential in the initial selection of seeds. Therefore, a decision support system is needed to select so that the resulting rabbits are as expected. One of the selection methods used in selecting the best rabbit seeds is the Visekriterijumsko Kompromisno Rangiranje (VIKOR) method. VIKOR is a decision-making method that works by looking at the closest solution / alternative as an approach to the ideal solution in ranking. The purpose of this study is to recommend the selection of the best NZW rabbit seeds using the VIKOR method. The results showed that the VIKOR method was able to select the best NZW Rabbit seeds from a number of existing data.","PeriodicalId":339673,"journal":{"name":"Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika","volume":"183 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123372608","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}
Pub Date : 2021-01-26DOI: 10.33751/KOMPUTASI.V18I1.2397
Siska Andriani, Dinar Munggaran Akhmad, M. Ulya
Asuransi merupakan suatu alat untuk mengurangi risiko keuangan, dengan cara pengumpulan unit-unit exposure dalam jumlah yang memadai, untuk membuat agar kerugian individu dapat diperkirakan. Dalam menentukan pilihan pada suatu produk atau jenis asuransi, kerap sekali ditemukan kasus-kasus atau masalah-masalah yang dihadapi oleh calon nasabah, seperti salah memilih jenis asuransi yang akhirnya akan menimbulkan rasa ketidakpuasan terhadap suatu layanan asuransi yang dipilih. Hal ini disebabkan karena kurangnya pemahaman dari nasabah terhadap detail dan kegunaan dari produk-produk yang ditawarkan, dan bila hal itu terus berlanjut, maka akan ada banyak nasabah yang merasa bahwa pelayanan yang didapatkan tidak cocok bahkan tidak memuaskan yang pada akhirnya nasabah tersebut tidak ingin memakai lagi jasa asuransi tersebut dikemudian hari. penelitian ini adalah merancang dan mengimplementasikan Sistem Pendukung Keputusan Berbasis Web Untuk Pemilihan Jenis Asuransi Bagi Calon Nasabah Dengan Metode Weighted Product. Nasabah akan mendapatkan hasil keputusan untuk menentukan jenis asuransi menggunakan metode weight product.
{"title":"IMPLEMENTASI WEIGHT PRODUCT MODEL (WPM) DALAM MEMILIH JENIS ASURANSI","authors":"Siska Andriani, Dinar Munggaran Akhmad, M. Ulya","doi":"10.33751/KOMPUTASI.V18I1.2397","DOIUrl":"https://doi.org/10.33751/KOMPUTASI.V18I1.2397","url":null,"abstract":"Asuransi merupakan suatu alat untuk mengurangi risiko keuangan, dengan cara pengumpulan unit-unit exposure dalam jumlah yang memadai, untuk membuat agar kerugian individu dapat diperkirakan. Dalam menentukan pilihan pada suatu produk atau jenis asuransi, kerap sekali ditemukan kasus-kasus atau masalah-masalah yang dihadapi oleh calon nasabah, seperti salah memilih jenis asuransi yang akhirnya akan menimbulkan rasa ketidakpuasan terhadap suatu layanan asuransi yang dipilih. Hal ini disebabkan karena kurangnya pemahaman dari nasabah terhadap detail dan kegunaan dari produk-produk yang ditawarkan, dan bila hal itu terus berlanjut, maka akan ada banyak nasabah yang merasa bahwa pelayanan yang didapatkan tidak cocok bahkan tidak memuaskan yang pada akhirnya nasabah tersebut tidak ingin memakai lagi jasa asuransi tersebut dikemudian hari. penelitian ini adalah merancang dan mengimplementasikan Sistem Pendukung Keputusan Berbasis Web Untuk Pemilihan Jenis Asuransi Bagi Calon Nasabah Dengan Metode Weighted Product. Nasabah akan mendapatkan hasil keputusan untuk menentukan jenis asuransi menggunakan metode weight product.","PeriodicalId":339673,"journal":{"name":"Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127949594","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}
Pub Date : 2020-07-14DOI: 10.33751/komputasi.v17i2.2148
B. Nugroho, Asep Denih
This paper presents a performance analysis and comparison of several pre-processing methods used in automatic patent classification with graph kernels for Support Vector Machine (SVM). The pre-processing methods are based on the data transform techniques, namely data scaling, data centering, data standardization, data normalization, the Box-Cox transform and the Yeo-Johnson transform. The automatic patent classification is designed to classify an input of patent citation graphs into one of 10 possible classes of the International Patent Classification (IPC). The input is taken with various background conditions. The experiments showed that the best result is achieved when the pre-processing method is data normalization, achieving a classification accuracy of up to 85.33.15% for the KEHL and 93.80% for the KVHL. In contrast, for the KEHG, the preprocessing method application decreased the accuracy.
{"title":"PERBANDINGAN KINERJA METODE PRA-PEMROSESAN DALAM PENGKLASIFIKASIAN OTOMATIS DOKUMEN PATEN","authors":"B. Nugroho, Asep Denih","doi":"10.33751/komputasi.v17i2.2148","DOIUrl":"https://doi.org/10.33751/komputasi.v17i2.2148","url":null,"abstract":"This paper presents a performance analysis and comparison of several pre-processing methods used in automatic patent classification with graph kernels for Support Vector Machine (SVM). The pre-processing methods are based on the data transform techniques, namely data scaling, data centering, data standardization, data normalization, the Box-Cox transform and the Yeo-Johnson transform. The automatic patent classification is designed to classify an input of patent citation graphs into one of 10 possible classes of the International Patent Classification (IPC). The input is taken with various background conditions. The experiments showed that the best result is achieved when the pre-processing method is data normalization, achieving a classification accuracy of up to 85.33.15% for the KEHL and 93.80% for the KVHL. In contrast, for the KEHG, the preprocessing method application decreased the accuracy.","PeriodicalId":339673,"journal":{"name":"Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika","volume":"93 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131771084","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}
Pub Date : 2020-07-14DOI: 10.33751/komputasi.v17i2.2150
Nadya Febrianny Ulfha, R. Amin
Competition in the business world requires entrepreneurs to think of finding a way or method to increase the transaction of goods sold. The purpose of this research is to provide drug stock data that is widely purchased by pharmacy customers at Kimia Farma, Green Lake branch in Jakarta. The algorithm used in this study is a priori to determine the relationship between the frequency of sales of drug brands most frequently purchased by customers. The association pattern formed with a minimum support of 40% and a minimum value of 70% confidence produces 17 association rules. The strong rules obtained are that if you buy a 500Mg Ponstan KPL @ 100, you will buy an Incidal OD 10Mg Cap with a support value of 59% and a confidence value of 84%. A priori algorithm can be used by companies to develop marketing strategies in marketing products by examining consumer purchasing patterns.
{"title":"IMPLEMENTASI DATA MINING UNTUK MENGETAHUI POLA PEMBELIAN OBAT MENGGUNAKAN ALGORITMA APRIORI","authors":"Nadya Febrianny Ulfha, R. Amin","doi":"10.33751/komputasi.v17i2.2150","DOIUrl":"https://doi.org/10.33751/komputasi.v17i2.2150","url":null,"abstract":"Competition in the business world requires entrepreneurs to think of finding a way or method to increase the transaction of goods sold. The purpose of this research is to provide drug stock data that is widely purchased by pharmacy customers at Kimia Farma, Green Lake branch in Jakarta. The algorithm used in this study is a priori to determine the relationship between the frequency of sales of drug brands most frequently purchased by customers. The association pattern formed with a minimum support of 40% and a minimum value of 70% confidence produces 17 association rules. The strong rules obtained are that if you buy a 500Mg Ponstan KPL @ 100, you will buy an Incidal OD 10Mg Cap with a support value of 59% and a confidence value of 84%. A priori algorithm can be used by companies to develop marketing strategies in marketing products by examining consumer purchasing patterns.","PeriodicalId":339673,"journal":{"name":"Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125047865","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}
Pub Date : 2020-01-27DOI: 10.33751/komputasi.v17i1.1732
Asep Denih, Emas Kurnia, Umar Mansyur
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.
{"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}
Pub Date : 2020-01-27DOI: 10.33751/komputasi.v17i1.1734
Muhamad Rizal Gojali, B. Tjahjono, Ernan Rustiadi
Landslide is a natural phenomenon that occurs because nature is looking for a balance due to disturbance affecting the land at the point of the landslide. Bogor Regency is categorized into a medium to high level ground vulnerable zone by BNPB, in this case the Cilwung Hulu watershed is an area that often experiences landslides. This study aims to develop a spatial model of landslides in the Ciliwung Hulu watershed using a PCA-based assessment method of the factors causing landslides. The results showed that there are seven parameters that can be used for spatial modeling of landslides, namely landform, land use, slope, rainfall, straightness, soil type, and lithology. Based on the results of the analysis it was found that the weight of each parameter is 0.347; 0.223; 0,200; 0,100; 0.071; 0.049; and 0.010. In this case landform has the highest weight as a determinant of landslide hazards. The area of landslide hazard class (low, medium, and high) obtained from the results of modeling are 4,651.53 ha (31%), 6,637.72 ha (43%), and 3,941.41 ha (26%) with accuracy overall of 57.8.
{"title":"PEMODELAN SPASIAL BAHAYA LONGSOR DI DAS CILIWUNG HULU, KABUPATEN BOGOR","authors":"Muhamad Rizal Gojali, B. Tjahjono, Ernan Rustiadi","doi":"10.33751/komputasi.v17i1.1734","DOIUrl":"https://doi.org/10.33751/komputasi.v17i1.1734","url":null,"abstract":"Landslide is a natural phenomenon that occurs because nature is looking for a balance due to disturbance affecting the land at the point of the landslide. Bogor Regency is categorized into a medium to high level ground vulnerable zone by BNPB, in this case the Cilwung Hulu watershed is an area that often experiences landslides. This study aims to develop a spatial model of landslides in the Ciliwung Hulu watershed using a PCA-based assessment method of the factors causing landslides. The results showed that there are seven parameters that can be used for spatial modeling of landslides, namely landform, land use, slope, rainfall, straightness, soil type, and lithology. Based on the results of the analysis it was found that the weight of each parameter is 0.347; 0.223; 0,200; 0,100; 0.071; 0.049; and 0.010. In this case landform has the highest weight as a determinant of landslide hazards. The area of landslide hazard class (low, medium, and high) obtained from the results of modeling are 4,651.53 ha (31%), 6,637.72 ha (43%), and 3,941.41 ha (26%) with accuracy overall of 57.8.","PeriodicalId":339673,"journal":{"name":"Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika","volume":"5 1 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":"129078447","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}
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
{"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}
Pub Date : 2020-01-27DOI: 10.33751/komputasi.v17i1.1736
Siti Qomariah, Hanifah Ekawati, Sepriyadi Belareq
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.
PT. Tiga Raksa Satria, Tbk是一家从事贸易的公司，以各种品牌的产品销售给萨玛林达的商店。销售的记录过程已由计算机完成，但销售数据没有得到最佳处理。没有应用程序分析销售数据的类别，规划和服务的消费者。分析销售数据是公司的重要组成部分，对销售结果的分析影响着公司要获得的利润。数据挖掘是在数据库中挖掘有价值的信息和知识的科学。数据挖掘中的一种算法是先验算法。数据挖掘广泛应用于商业、商务等各个领域。本研究旨在应用基于Apriori算法的数据挖掘篮球分析方法，对销售数据进行更结构化、更细化的处理，了解产品销售中的问题。该应用程序生成一些规则，这些规则有助于为公司得出关于销售数据的战略信息的结论。使用先验方法的应用程序有助于分析所拥有的销售数据。
{"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}
Pub Date : 2020-01-27DOI: 10.33751/komputasi.v17i1.1738
Irma Anggraeni, Yusma Yanti
The growth of children under the age of three (toddlers) is one of the determinants of children's development in the future. One of the parameters of toddler growth assessment is determined by gender, age, height and weight. This research makes a system that can monitor toddler growth with web-based. The research method used is the System Life Development Cycle, which consists of planning, analysis, design, implementation and use. This system also uses the Tsukamoto fuzzy method to determine the membership set of each input variable. The gender criteria are divided into two classes, male and female, the age criteria are divided into three classes, the height criteria are three classes, and the weight criteria are divided into three classes. Based on the division of classes, the output of this study is the growth status of toddlers, namely poor growth, poor, normal and more. Based on the results of input data criteria and calculations using Tsukamoto fuzzy, the output obtained in the form of the status of the child's growth.
{"title":"SISTEM PEMANTAUAN PERTUMBUHAN BATITA MENGGUNAKAN METODE FUZZY TSUKAMOTO","authors":"Irma Anggraeni, Yusma Yanti","doi":"10.33751/komputasi.v17i1.1738","DOIUrl":"https://doi.org/10.33751/komputasi.v17i1.1738","url":null,"abstract":"The growth of children under the age of three (toddlers) is one of the determinants of children's development in the future. One of the parameters of toddler growth assessment is determined by gender, age, height and weight. This research makes a system that can monitor toddler growth with web-based. The research method used is the System Life Development Cycle, which consists of planning, analysis, design, implementation and use. This system also uses the Tsukamoto fuzzy method to determine the membership set of each input variable. The gender criteria are divided into two classes, male and female, the age criteria are divided into three classes, the height criteria are three classes, and the weight criteria are divided into three classes. Based on the division of classes, the output of this study is the growth status of toddlers, namely poor growth, poor, normal and more. Based on the results of input data criteria and calculations using Tsukamoto fuzzy, the output obtained in the form of the status of the child's growth. ","PeriodicalId":339673,"journal":{"name":"Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika","volume":"156 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":"130660193","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}
Pub Date : 2019-12-31DOI: 10.33751/komputasi.v16i2.1623
N. GesaRizky, S. Setyaningsih, A. Saepulrohman
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.
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