Article Per Year (5 Year)
p-Index From 2020 - 2025
0.23
P-Index
This Author published in this journals
All Journal Jurnal Gaussian Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences
Avia Enggar Tyasti
Unknown Affiliation
Religion Arts Humanities Economics, Econometrics & Finance Social Sciences Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
ALGORITMA ITERATIVE DICHOTOMISER 3 (ID3) UNTUK MENGIDENTIFIKASI DATA REKAM MEDIS (Studi Kasus Penyakit Diabetes Mellitus Di Balai Kesehatan Kementerian Perindustrian, Jakarta) Avia Enggar Tyasti; Dwi Ispriyanti; Abdul Hoyyi
Jurnal Gaussian Vol 4, No 2 (2015): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (390.452 KB) | DOI: 10.14710/j.gauss.v4i2.8422

Abstract

Iterative Dichotomiser 3 (ID3) Algorithm is a basic decision tree learning algorithm. These algorithms perform a thorough search (greedy) in all possible decision tree. ID3 algorithm can be implemented using a recursive function, (function that calls itself). One of the problems that can be solved using the ID3 algorithm is a classification of diabetic patients. Diabetic is a disease because of the body is not able to control the amount of sugar or glucose in the bloodstream. Classification using ID3 in the case of diabetics produce trees with many vertices to 32 knot where 21 of them is a leaf node and attribute two-hour postprandial glucose fasting elected as the root node in the decision-making tree. Based on the classification performance measurements show that the classification accuracy or measurement accuracy reaches 89,75%. While the measurement accuracy of the classification algorithm ID3 using test samples totaling 84 samples showed an accuracy of 72,619%. Keywords: ID3 Algortihm, Decision Tree, DiabetesALGORITMA ITERATIVE DICHOTOMISER 3 (ID3) UNTUK MENGIDENTIFIKASI DATA REKAM MEDIS(Studi Kasus Penyakit Diabetes Mellitus Di Balai Kesehatan Kementerian Perindustrian, Jakarta)
Competitiveness of Indonesian Footwear Commodities in the International Market Avia Enggar Tyasti; Bayu Prabowo Sutjiatmo
Budapest International Research and Critics Institute (BIRCI-Journal): Humanities and Social Sciences Vol 5, No 1 (2022): Budapest International Research and Critics Institute February
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v5i1.3606

Abstract

This research was conducted to analyze the competitiveness of Indonesian footwear exports and to know the factors that influence footwear exports in 2013 to 2018. The data used are secondary data obtained from WITS, World Bank, UNCTAD. The analytical method uses Revealed Comparative Advantage (RCA) and Trade Specialization Index to determine the competitiveness, position of the Indonesian footwear market share, and regression analysis to analyze the factors that affect exports. The results of this study indicate that Indonesian footwear has comparative competitiveness, this is indicated by an RCA value > 1. Whereas based on the results of the analysis of Indonesian footwear Trade Specialization Index’s, the footwear product produced by Indonesia has a strong competitiveness and is included in the class of products that are already in the maturity stage with a value showing close to 1. The regression analysis results show that GDP per capita, population and volume exports have a significant and influence on the value of footwear exports.
Co-Authors Abdul Hoyyi Dwi Ispriyanti Sutjiatmo, Bayu Prabowo