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All Journal EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis Advance Sustainable Science, Engineering and Technology (ASSET) Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika
Ade Famalika
Universitas Bina Insan
Chemical Engineering, Chemistry & Bioengineering Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Materials Science & Nanotechnology Mathematics Other

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Implementation of K-Means and K-Medians Clustering in Several Countries Based on Global Innovation Index (GII) 2018 Ade Famalika; Pardomuan Robinson Sihombing
Advance Sustainable Science, Engineering and Technology (ASSET) Vol 3, No 1 (2021)
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/asset.v3i1.8461

Abstract

The Global Innovation Index (GII) is an instrument to assess the ranking of innovation capabilities of all countries. The sub-index of the GII has seven enabler pillars: Institutions, Human Capital and Research, Infrastructure, Market sophistication, Business Sophistication, Knowledge and Technology Outputs, and Creative Outputs. The k-means method and k-medians method are methods for cluster countries based on GII. Cluster 1 in k-means method consists of 48 Countries, Cluster 2 consists of 45 Countries and Cluster 3 consists of 33 Countries and has the average value of seven variables are the highest. Cluster 1 in k-medians method consists of 33 Countries and has the average value of seven variables are the highest., Cluster 2 consists of 53 Countries and Cluster 3 consists of 40 Countries. The result clustering with using k-means method and k-medians method showed that k-medians is better than k-means method because the variance value of k-medians is smaller than k-means. 
PENERAPAN MODEL VECTOR AUTOREGRESSIVE (VAR (2)) PADA DATA INFLASI DI PROVINSI JAWA TIMUR DAN BALI Putri Indi Rahayu; Ade Famalika; Pardomuan Robinson Sihombing
Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika Vol. 1 No. 1 (2021): Jurnal Bayesian : Jurnal Ilmiah Statistika dan Ekonometrika
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (343.293 KB) | DOI: 10.46306/bay.v1i1.6

Abstract

Fenomena inflasi merupakan suatu gejala atau kejadian yang dapat diamati dimana tingkat harga umum mengalami kenaikan secara terus menerus. Penelitian ini memodelkan Inflasi di Provinsi Jawa Timur dan Bali dengan menggunakan model VAR. Model VAR yang didapat adalah model VAR dengan lag 2. Hasil yang didapat menunjukkan laju inflasi di Jawa Timur akan menurun ketika laju inflasi di Bali pada dua periode sebelumnya juga menurun dan satu periode sebelumnya meningkat. Selain itu, laju inflasi di Bali akan meningkat dengan meningkatnya laju inflasi di Jawa Timur baik periode kemarin atau satu periode sebelumnya maupun dua periode sebelumnya. Sebaliknya, laju inflasi di Bali akan menurun ketika laju inflasi pada dua periode sebelumnya meningkat
The Influence Of Economic Value Added (EVA), Return On Assets (ROA) On Stock Prices With Market Value Added (MVA) As A Moderating Variable Retno Ulfayatun Hidayah; Ade Famalika; Arisky Andrinaldo; Yuli Nurhayati; Nur Uswatun Hasana
EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis Vol 12 No 4 (2024): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/ekombis.v12i4.6773

Abstract

The aim of this research is to ascertain the influence of Economic Value Added (EVA), Return on Assets (ROA) on stock prices with Market Value Added (MVA) as a moderating variable in retail sector companies on the Indonesian Stock Exchange for the 2017-2022 period. The research methodology used is a quantitative method. The research population and sample consisted of 30 data. In this research, the data collection techniques used in this research were documentation and library research techniques. Data were analyzed using panel data regression, Microsoft Excel 2010 and Eviews Version 12 were used to process the data. Findings: The results of the t test (partial) on the Economic Value Added (EVA) variable (X1) obtained a calculated t value of 0.434167 < t table, namely 2.048407142 and a sig value. 0.6676 > 0.05, then H1 is rejected. The results of the t test (partial) on the Return on Assets (ROA) variable obtained a calculated t value of 12.77570 > t table, namely 2.048407142 and a sig value. 0.0000 < 0.05, then H2 is accepted. The results of the t test (partial) on the moderating variable Market Value Added (MVA) are able to moderate Economic Value Added (EVA) and obtain a sig level value. is 1.288399 > 0.05 and the sig.prob value is 0.2094 < 0.05, then H3 is accepted. The results of the t test (partial) on the Market Value Added (MVA) moderating variable are able to moderate the Return on Assets (ROA) to obtain a sig level value. is -0.916624 < 0.05 and the sig.prob value is 0.3681 > 0.05, then H4 is rejected.
Co-Authors Arisky Andrinaldo Nur Uswatun Hasana Pardomuan Robinson Sihombing Putri Indi Rahayu Retno Ulfayatun Hidayah Yuli Nurhayati