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ANALISIS SPASIAL KETERTINGGALAN DAERAH DI INDONESIA TAHUN 2018 MENGGUNAKAN GEOGRAPHICALLY WEIGHTED LOGISTIC REGRESSION Maulidina, Tata Pacu; Oktora, Siskarossa Ika
Indonesian Journal of Statistics and Applications Vol 4 No 3 (2020)
Publisher : Statistics and Data Science Program Study, SSMI, 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.v4i3.690

Abstract

Development inequality in Indonesia has led the developed and underdeveloped regions. Regional backwardness caused by high inequality must be handled properly to prevent negative impacts on national stability. But in fact, the handling of underdeveloped regions is only effective in Western Indonesia, while in Eastern Indonesia tends to be not optimal. This study aims to explore regional backwardness in Indonesia and examines the factors that influence it. Based on data, underdeveloped regions tend to cluster in eastern Indonesia, and the independent variables have large variations between regions. This indicates dependence and spatial heterogeneity. Therefore, this study applies spatial analysis using the Geographically Weighted Logistic Regression (GWLR) method. GWLR shows better performance in modeling the regional backwardness in Indonesia compared to its global model (binary logistic regression). This study provides a local model for each district/city that can be used by local governments to implement more effective policies based on factors that do have significant effects on regional backwardness.
Determinants of Male Adolescents Smoking Behavior in Indonesia using Negative Binomial Regression Hartono, Angel Zushelma; Oktora, Siskarossa Ika
Indonesian Journal of Statistics and Applications Vol 5 No 1 (2021)
Publisher : Statistics and Data Science Program Study, SSMI, 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.v5i1p182-194

Abstract

Adolescent smoking habits have become the Ministry of Health's major program associated with tobacco consumption. In 2016, the prevalence of adolescent smoking aged 10-18 years reached 8.8% and were rate increasingly against the Strategic Planning Ministry of Health 2015-2019 target to lower adolescent smoking prevalence to 5.4%. Male adolescents consuming cigarettes are higher than females. Whereas, high consumption of cigarettes in men will increase the risk of impotence and decrease reproductive health quality to affect future generations' quality. This study aims to determine the general picture of smoking behavior in Indonesia's male adolescent in 2018 and any variables that affect the number of cigarettes consumed. The analytical method used is Poisson Regression and Negative Binomial Regression. The data source used is raw data Riskesdas 2018 with the unit of analysis are male adolescent smokers aged 10-18 years. Research indicates that most male adolescents are light smokers. Heavy smokers were dominated by older age, living in a rural area, poorly educated, employed, lived with a household head who was a smoker, and had low education. Age, location of residence, education level, working status, smoking status, and household head education level significantly affect male adolescents' smoking behavior.
Could Renewable Energy Use Boost Goods Export Performance in ASEAN? Khairunnisa, Sherina Rafidah; Oktora, Siskarossa Ika
Economics and Finance in Indonesia Vol. 69, No. 2
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

ASEAN economic integration increases trade opportunities and also triggers an increase in carbon emissions, especially from exports of goods. ASEAN needs to switch to renewable energy to improve the performance of goods exports. This study analyzes the influence of renewable energy on goods exports in ASEAN, 2010–2020. The results show that renewable energy positively impacts the performance of goods exports. Based on the results of this research, it is hoped that the government in each ASEAN country can strengthen regulations and policies on the use of renewable energy by providing incentives for producers and exporters who use renewable energy.
Determinants of the Regional Innovation Index in the VUCA Era: A Robust Regression MM-Estimation Approach Erina Herwindalita; Siskarossa Ika Oktora
Jurnal Natural Vol. 26 No. 1 (2026)
Publisher : Faculty of Mathematics and Natural Science (FMIPA), Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jn.v26i1.314

Abstract

The world is experiencing rapid changes, making it more complex and difficult to predict. This situation is called the Volatility, Uncertainty, Complexity, and Ambiguity (VUCA) Era. Therefore, the demand for rapid adaptation through innovation is greater. However, data from the World Intellectual Property Organization shows that Indonesia's innovation index in 2022 still ranked 75th of 132 countries. It indicates that Indonesia still faces challenges and weaknesses in managing the innovation cycle, particularly in government innovation. Consequently, it is crucial to conduct research on local government innovation by identifying the determinants of the regional innovation index (RII) in 2022. In this research, robust regression with MM-estimation was used to address outlier issues in the data. The result shows that the digital skills score, degree of fiscal decentralization, and innovation capability scores have a significant positive effect on the RII in 2022. Meanwhile, the high school education completion rate and the ratio of students and lecturers have a significant negative effect on the RII in 2022.
Analisis Dampak Kebijakan Tarif Safeguard terhadap Impor Kain Tenun dari Kapas di Indonesia Tahun 2008-2022 dengan Pendekatan ARIMA Intervention Model Izzaty, Khoirunisa Maula; Oktora, Siskarossa Ika
Indonesian Journal of Applied Statistics Vol 7, No 2 (2024)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/ijas.v7i2.85689

Abstract

The increase in the price of cotton raw materials as well as the low quality of products and productivity of the domestic industry has increased imports of woven fabric from cotton in Indonesia. The increase in imports resulted in serious losses to the domestic industry. Indonesian Textile Association submitted a petition to investigate imports of cotton woven fabric and resulting in a decision to implement a safeguard tariff policy on imports of cotton woven fabric. This research aims to analyze the impact of safeguard tariffs and the elimination of safeguard tariffs on the volume of imports of cotton woven fabrics. The method used is ARIMA multi-input intervention with interventions in the form of a safeguard tariff policy for 2011-2014, elimination of safeguard tariffs for 2014-2020, and a safeguard tariff policy for 2020-2022. The research results show that the safeguard policy in 2011-2014 and 2020-2020 had an impact on reducing the volume of imports of woven cotton fabrics. Meanwhile, the elimination of the safeguard policy in 2014-2020 had the impact of increasing the volume of imports of cotton woven fabrics. The results of this research can be used as material for the government's evaluation regarding safeguard tariff policies in protecting the domestic cotton woven fabric industry. Keywords: ARIMA intervention, cotton, woven fabric