Garuda - Garba Rujukan Digital

Article Per Year (5 Year)

All

Jurnal Aplikasi Statistika & Komputasi Statistik

jurnalasks
Website

Published by Politeknik Statistika STIS

ISSN : 20864132 EISSN : 26151367 DOI : -

Core Subject : Science, Education,

Computer Science & IT Decision Sciences, Operations Research & Management Mathematics

Redaksi menerima karya ilmiah atau artikel penelitian mengenai kajian teori statistika dan komputasi statistik pada bidang ekonomi dan sosial dan kependudukan, serta teknologi informasi. Redaksi berhak menyunting tulisan tanpa mengubah makna subtansi tulisan. Isi jurnal Aplikasi Statistika dan Komputasi Statistik dapat dikutip dengan menyebutkan sumbernya.

Arjuna Subject : -

Articles 6 Documents

Search results for , issue "Vol 7 No 2 (2015): Journal of Statistical Aplication and Statistical Computing" : 6 Documents clear

Metode Cluster Menggunakan Kombinasi Algoritma Cluster K-Prototype dan Algoritma Genetika untuk Data Bertipe Campuran Rani Nooraeni
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 7 No 2 (2015): Journal of Statistical Aplication and Statistical Computing
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Statistika STIS

Clustering is one of the main methods in data mining that useful to explore the data. One conventional clustering methods namely the K -Means algorithm efficient for large dataset and numeric data types but not for categorical data type. K-prototype algorithm eliminates the limitations of the numerical data but can also be used on categorical data. But the solutions generated by the algorithm is a local optimal solution in which one of the causes is the determination of the initial cluster’s center. Deal with these problems, the genetic algorithm was proposed for solving this global optimasitation problem. The results of the study indicate that the cluster’s center optimization with genetic algorithm success to improve the accuracy of the results of the cluster with K–Prototype algorithm.

Analisis Preferensi Mahasiswa STIS Berdasarkan Akun Facebook yang Dimiliki Takdir -; Choerul Afifanto
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 7 No 2 (2015): Journal of Statistical Aplication and Statistical Computing
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Statistika STIS

Currently, social media is used massively in various societies. Facebook is one of the greatest social media in terms of total and frequency of uses, as well as the number of collected information, especially the information about relationships between entities. This study identifies preference of active STIS’s students based on their Facebook account. Their Facebook accounts are collected from their Facebook group communities. The preference data are collected by crawling the liked pages and joined groups. The results of this study are the characteristics view of students’ preferences in form of statistics of interesting topic types and visualization of students’ clusters for certain topics. Approaches used in this research to extract and analyze data in social media could become a reference for another research fields which use social media data.

Analisis Multivariate Adaptive Regression Splines (MARS) pada Prediksi Ketertinggalan Kabupaten Tahun 2014 Siskarossa Ika Oktora
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 7 No 2 (2015): Journal of Statistical Aplication and Statistical Computing
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Statistika STIS

The purposes of this research are to build underdeveloped regency model and make a prediction in 2014 based on economic categories, Human Resources (HR), infrastructures, fiscal capacity, accessibility, and regional characteristics with MARS method. MARS is a classification method which can handle highdimensional data with unknown pattern in advance, and can be applied to see the interaction between variables. MARS is an alternative method when the data doesn’t fulfil the parametric statistics assumptions. From MARS model, there are three variables that affect underdeveloped regency, they are consumption expenditure per capita, life expectancy, and percentage of household electricity users. The accuracy of MARS model is very high, 97.83 percent and can be used to make a prediction. Based on MARS model, at the end of the National Development Plan 2010-2014 is predicted a significant transitions in regency’s status. This model can also be used to predict the condition of new regency based on empirical data, because in the earlier classification, the status of regency just follows the status of parent region.

Visualisasi Penggerombolan Wilayah Berdasarkan Teori Pertumbuhan Ekonomi Menggunakan Aplikasi Integrasi Self Organizing Map (SOM) dan Sistem Informasi Geografis Ricky Yordani; Hafshoh Mahmudah
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 7 No 2 (2015): Journal of Statistical Aplication and Statistical Computing
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Statistika STIS

Economic growth is one of factor that is critical to determining the welfare of a region. However, differences in geographical conditions and the potential of the area led to differences in economic conditions differ between regions. The case studies conducted on Central Java Province because it is one of the largest contributors to GDP in Indonesia, which still has economic inequality between cities and between districts. To make more easy for visualize the economic growth, researcher then made an application that is able to easily see the effect of growth and clustering in the province of Central Java. There are many methods that can be used for cluster analysis. One of the most common methods used are the K-Means. However, K-Means has some drawbacks. One alternative method is using the Self Organizing Map (SOM) which is capable clustering accompanied by visualization of multidimensional data with techniques Unsupervised Artificial Neural Network. This application allows visualization and analysis because it is integrated with Geographic Information Systems (GIS). Applications are made subsequently used to analyze clustering with case study data of Central Java province. The resulting visualization capable of showing a pattern of economic growth in Central Java Province

Model Probit Binrt Bivariat pada Pemberian Imunisasi Dasar dan Air Susu Ibu Metty Nurul Romadhona
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 7 No 2 (2015): Journal of Statistical Aplication and Statistical Computing
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Statistika STIS

The fourth goal of the Millennium Development Goals (MDGs) is to reduce child mortality. One of the efforts to reduce child mortality is increasing immunity for children. Immunity for children can be obtained by providing complete basic immunization and exclusive breastfeeding This study aimed to apply the bivariate binary probit model in determining factors that affect provision of basic immunization and exclusive breastfeeding. The data source used in this research is data of the 2013 National Socio Economic Survey (SUSENAS) in South Kalimantan Province. The best model selection criterion based on the AIC (Akaike Information Criterion) values provided information that the age of first marriage, mother's education, father’s job, the birth attendants and status of the living area have significant effects on the provision of basic immunization and exclusive breastfeeding.

againaba Daya Saing Industri Life Sciences di Indonesia Ernawati Pasaribu; Retno Indrawati
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 7 No 2 (2015): Journal of Statistical Aplication and Statistical Computing
Publisher : Pusat Penelitian dan Pengabdian Masyarakat Politeknik Statistika STIS

Indonesia is the South East Asia’s largest economy and has a substantial and increasingly inspirational middle class of over 20 million. Indonesia has become an attractive market due to her strongly growing consumer market, especially the middle income segment. The high number of population also indicates the existing potential pool of labour. Life Sciences (LS) industry is widely recognised as the new wave of knowledge-based economy. This study identifies relative position of Indonesia in terms of foreign direct investment (FDI) in LS industry and competitiveness of the LS industry in Indonesia compared with other countries. Based on LS sector, Indonesia has to compete mainly with Portugal, Turkey, Saudi Arabia and Nigeria, while based on LS activities, Argentina and Bulgaria are the main competitors. It also reveals that FDI inflow to LS industry in Indonesia is influenced mainly by inflation and return on investment.

Page 1 of 1 | Total Record : 6

Filter by Year

2015 2015

Filter By Issues

All Issue Vol 17 No 1 (2025): Jurnal Aplikasi Statistika & Komputasi Statistik Vol 16 No 2 (2024): Jurnal Aplikasi Statistika & Komputasi Statistik Vol 16 No 1 (2024): Jurnal Aplikasi Statistika & Komputasi Statistik Vol 15 No 2 (2023): Journal of Statistical Application and Computational Statistics Vol 15 No 1 (2023): Journal of Statistical Application and Computational Statistics Vol 14 No 2 (2022): Journal of Statistical Application and Computational Statistics Vol 14 No 1 (2022): Jurnal Aplikasi Statistika dan Komputasi Statistik Vol 13 No 2 (2021): Jurnal Aplikasi Statistika dan Komputasi Statistik Vol 13 No 1 (2021): Jurnal Aplikasi Statistika dan Komputasi Statistik Vol 12 No 3 (2020): Jurnal Aplikasi Statistika dan Komputasi Statistik Edisi Khusus Vol 12 No 2 (2020): Journal of Statistical Application and Computational Statistics Vol 12 No 1 (2020): Journal of Statistical Application and Computational Statistics Vol 11 No 2 (2019): Journal of Statistical Application and Computational Statistics Vol 11 No 1 (2019): Journal of Statistical Application and Computational Statistics Vol 10 No 2 (2018): Journal of Statistical Application and Computational Statistics Vol 10 No 1 (2018): Journal of Statistical Application and Computational Statistics Vol 9 No 2 (2017): Journal of Statistical Application and Computational Statistics Vol 9 No 1 (2017): Journal of Statistical Application and Computational Statistics Vol 8 No 2 (2016): Journal of Statistical Application and Computational Statistics Vol 8 No 1 (2016): Journal of Statistical Application & Statistical Computing Vol 7 No 2 (2015): Journal of Statistical Aplication and Statistical Computing Vol 7 No 1 (2015): Journal of Statistical Application and Computational Statistics More Issue

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name
-

Contact Email
-

Phone
-

Journal Mail Official
-

Editorial Address
-

Location
Kota adm. jakarta timur,

Dki jakarta

INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name -

Contact Email -

Phone -

Journal Mail Official -

Editorial Address -

Location Kota adm. jakarta timur, Dki jakarta INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
-

Contact Email
-

Phone
-

Journal Mail Official
-

Editorial Address
-

Location
Kota adm. jakarta timur,

Dki jakarta

INDONESIA