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Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Published by Universitas Pakuan
ISSN : 16937554     EISSN : 26543990     DOI : 10.33751
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management
Scientific Journal of Computer and Mathematical Science (Jurnal Ilmiah Ilmu Komputer dan Matematika) is initiated and organized by Department of Computer Science, Faculty of Mathematics and Science, Pakuan University (Unpak), Bogor, Indonesia to accommodate the writing of research results for the academics and institutions other. Komputasi journal was originally launched in 1992, and published online since 2007 with ISSN version p-ISSN: 1693-7554 and version of the daring of e-ISSN: 2654-3990 in 2018 (SK No. 0005.26543990/JI.3.1/SK.ISSN/2018.10-15 October 2018 (starting Vol. 16, No. 1, January 2019). The journal is a publication media for original manuscripsts related information technology development and science written in Bahasa Indonesia which is published twice times a year (January and July).
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Articles 6 Documents
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Search results for , issue "Vol 17, No 1 (2020): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika" : 6 Documents clear
SISTEM PENUNJANG KEPUTUSAN PEMILIHAN INDUK AYAM KUB TERBAIK DENGAN METODE FUZZY DAN VIKOR Muhammad Teguh; Sri Setyaningsih; Mulyati .
KOMPUTASI Vol 17, No 1 (2020): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (618.098 KB) | DOI: 10.33751/komputasi.v17i1.1750

Abstract

Kampung Unggul Superior Chicken (KUB) is a native native chicken selection from the Animal Research Center (Balitnak). KUB chicken has the advantage of low incubation and high egg production, so it becomes a parent producer of many DOC (female line). Currently consumption of native chicken meat and eggs in the community from year to year has increased while its production has not been able to fully meet the needs of the community. Some of the problems in maintaining KUB hens are not optimal body weight, length of time in laying eggs and even a small amount of egg production quality from selected prospective broodies originating from KUB hens who have high productivity in laying eggs. to overcome these problems, an application system is needed, one of which is a decision support system application. This application can provide recommendations in the selection of the best KUB hens so that the hens can be maintained intensively so that the supply of chicken meat and eggs can meet the needs of the community. There are several methods that can be used to determine the selection of the best KUB Parent, including using the Vikor method. Vikor is used to overcome the problem of complex multi-criteria systems that focus on ranking and selection of an alternative, while to determine the weighting using the Fuzzy Method. The results of this study are in the form of an application system that can help breeders / enclosure technicians in determining the selection of the Best KUB Chicken Parent. The level of system accuracy using the Vikor and Fuzzy methods was obtained at 77.2% of the 9 test data used. 
PENGEMBANGAN MODEL ANALISIS SPASIAL UNTUK MENSIMULASIKAN RESPON HIDROLOGI Asep Denih; Ema Kurnia; Umar Mansyur
KOMPUTASI Vol 17, No 1 (2020): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (285.562 KB) | DOI: 10.33751/komputasi.v17i1.1744

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.
PEMODELAN SPASIAL BAHAYA LONGSOR DI DAS CILIWUNG HULU, KABUPATEN BOGOR Muhamad Rizal Gojali; Boedi Tjahjono; Ernan Rustiadi
KOMPUTASI Vol 17, No 1 (2020): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (545.276 KB) | DOI: 10.33751/komputasi.v17i1.1745

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.
IMPLEMENTASI METODE DATA MINING APRIORI PADA APLIKASI PENJUALAN PT. TIGA RAKSA SATRIA Siti Qomariah; Hanifah Ekawati; Sepriyadi Belareq
KOMPUTASI Vol 17, No 1 (2020): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (522.569 KB) | DOI: 10.33751/komputasi.v17i1.1747

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.
SISTEM PEMANTAUAN PERTUMBUHAN BATITA MENGGUNAKAN METODE FUZZY TSUKAMOTO Irma Anggraeni; Yusma Yanti
KOMPUTASI Vol 17, No 1 (2020): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (608.446 KB) | DOI: 10.33751/komputasi.v17i1.1749

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. 
PENENTUAN DAERAH PRIORITAS PELAYANAN AKTA KELAHIRAN DENGAN METODE K-NN DAN K-MEANS Ade Muchlis Maulana Anwar; Prihastuti Harsani; Aries Maesya
KOMPUTASI Vol 17, No 1 (2020): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (531.764 KB) | DOI: 10.33751/komputasi.v17i1.1884

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

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