Article Per Year (5 Year)
p-Index From 2021 - 2026
4.25
P-Index
This Author published in this journals
All Journal Jurnal Statistika Universitas Muhammadiyah Semarang Jurnal Kesehatan Masyarakat Jurnal Edukasi dan Penelitian Informatika (JEPIN) International Journal of Artificial Intelligence Research Indonesian Journal of Applied Statistics BAREKENG: Jurnal Ilmu Matematika dan Terapan Buletin Ilmiah Litbang Perdagangan EKO-REGIONAL JURNAL PENGEMBANGAN EKONOMI WILAYAH Jurnal Aplikasi Statistika & Komputasi Statistik Jurnal Litbang Sukowati : Media Penelitian dan Pengembangan Jurnal Varian Jurnal Statistika dan Aplikasinya Jurnal Kependudukan Indonesia STATISTIKA PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND OFFICIAL STATISTICS Jurnal Ekonomi dan Pembangunan Indonesia Economic and Finance in Indonesia Buletin Ilmiah Litbang Perdagangan Jurnal Ekonomi Kesehatan Indonesia Indonesian Journal of Statistics and Its Applications
Siskarossa Ika Oktora
Politeknik Statistika STIS
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

Published : 33 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 33 Documents
Search

 1   2   3   4 
Disparitas Dan Konvergensi Pendapatan Per Kapita Pada Kawasan Kedungsepur Nashif Satria Ramadhan; Oktora, Siskarossa Ika
Jurnal Litbang Sukowati : Media Penelitian dan Pengembangan Vol 8 No 2 (2024): Vol. 8 No. 2, November 2024
Publisher : Badan Perencanaan Pembangunan, Riset dan Inovasi Daerah Kabupaten Sragen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32630/sukowati.v8i2.497

Abstract

Abstract. Kedungsepur is an area designated as the primary center of economic growth in Central Java, thus becoming the region with the highest total Gross Regional Domestic Product (GRDP) among its regencies and cities. However, this achievement is not accompanied by equitable income distribution among its constituent regencies and municipalities. This study aims to examine the disparities and analyze the existence of per capita income convergence and its influencing factors in Kedungsepur from 2017 to 2022. Descriptive analysis found that income disparities in Kedungsepur have escalated over the past six years. Furthermore, there has been a transition to a better economic pattern in some areas, namely Kendal Regency and Grobogan Regency. The level of dispersion of GRDP per capita among regencies/municipalities has also increased, thereby disproving the occurrence of sigma convergence. Based on the results of modeling with dynamic panel regression FD-GMM,, it is concluded that absolute and conditional beta convergence is occurring in Kedungsepur. Significant variables affecting GRDP per capita include TPT, RLS, PAD, and population size, while the percentage of roads in good condition does not exhibit a significant impact on GRDP per capita. Therefore, local governments can optimize sources of regional revenue, enhance employment opportunities and the quality of education, as well as effectively manage population growth. Keyword: income disparities, convergence, dynamic panel, FD-GMM, Kedungsepur  
Analysis of Net Enumeration Rate of Senior High School Using Fixed-Effect Clustered-Robust Standard Error Model: Analisis Angka Partisipasi Murni Sekolah Menengah Menggunakan Model Fixed-Effect Clustered Robust Standard Error Metanda, Leonita Amara Husna; Oktora, Siskarossa Ika
Indonesian Journal of Statistics and Applications Vol 6 No 2 (2022)
Publisher : Statistics and Data Science Program Study, IPB University, IPB University, in collaboration with the Forum Pendidikan Tinggi Statistika Indonesia (FORSTAT) and the Ikatan Statistisi Indonesia (ISI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v6i2p270-286

Abstract

The Net Enumeration Rate (NER) of senior high school (SHS) in Indonesia in 2017-2019 always be the lowest than the other education levels and cannot fulfill the target of the 2014-2019 National Medium-Term Development Plan (RPJMN). This study aims to analyze the determinants of NER of SHS in Indonesia 2017-2019 using the panel data regression method. The independent variables include child labor, child marriage, Smart Indonesia Program (PIP), repeat rates, and poverty. The NER of SHS is the dependent variable. Based on the modeling, heteroscedasticity and autocorrelation problems are found. The fixed-effect clustered-robust standard error method is used to solve these problems. The results show that the NER of SHS increased every year, and poverty decreased every year. Meanwhile, other variables fluctuate during 2017-2019. Furthermore, it is found that child labor and poverty significantly affect the NER of SHS in Indonesia. Meanwhile, child marriage, PIP, and repeat rates have no significant effect. This study can be used by local government to implement more effective policies based on the factor that do have significant effects on NER of SHS in Indonesia in 2017-2019.
Analysis of Underdeveloped Regency Using Logistic Threshold Regression Model Salsabila, Annisa Nur; Oktora, Siskarossa Ika
Jurnal Varian Vol. 8 No. 1 (2024)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v8i1.3570

Abstract

Regional development inequality causes some regions to lag behind other regions. An underdevelopedregency is a regency where territories and people are less developed than other regions nationally. Thegovernment has set a Human Development Index (HDI) target of 62.2 to 62.7 to accelerate the development of underdeveloped regency and prevent the regions from lagging. This study aims to evaluatethe HDI target and obtain the HDI value that reduces the risk of underdeveloped regency and acquiresvariables that affect underdeveloped regency’s status. The logistic threshold regression model is usedin this study with HDI as the threshold variable, 22 indicators for determining underdeveloped regencyas explanatory variables, and the underdeveloped regency’s status as the response variable. Thresholdregression can handle non-linear relationships between response and explanatory variables, includingvarious types of threshold models such as step, segmented, hinge, stegmented, and upper hinge. By applying a hinge threshold regression model using the R package ’chngpt,’ this study addresses non-linearrelationships and categorical responses. The results showed a threshold effect with a threshold value of62.9, indicating that the HDI target can reduce the region’s risk of being left behind.
Co-Authors Aghnia Ussyarovi Aloysius Bela Boro Amalia Pasaribu, Asysta Anang Kurnia Andrian Dwi Putra Angel Zushelma Hartono Bagus Sartono Butar Butar, Daniel Daffa Dhiaulhaq, Hafsha Dewi Novita Sari Diva Amadea Ermawan, Geri Yesa Ernawati Pasaribu Fitriyani Sahamony, Nur Geraldi Putra P Balebu Geri Yesa Ermawan Ibnu Santoso Ika Yuni Wulansari Indonesian Journal of Statistics and Its Applications IJSA Ira Helsa Triana Leonita Amara Husna Metanda Maksum, Fadhila Annisa Maria Valentina Makung Matualage, Dariani Metanda, Leonita Amara Husna Muhammad Rizqi Fachrian Nur Nanda Bagus Rahmawan Nashif Satria Ramadhan Ni Luh Evindia Andini Nora Muhtasib Nursaliyawati, Adella Siti Primanda, Etsa Ristanto Hadi Salsabila, Annisa Nur Sari, Rika Dwi Puspita Siti Muchlisoh Subriandi, Askar Tata Pacu Maulidina Valencia Shabrina Putri Wulansari, Ika Yuni Yafi’, Muhammad Almas Yohana Rosaripatria Zulfa Nur Fajri Ramadhani