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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

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Determinants of Diabetes Mellitus Prevalence in Indonesia Oktora, Siskarossa Ika; Butar Butar, Daniel
KEMAS: Jurnal Kesehatan Masyarakat Vol 18, No 2 (2022)
Publisher : Department of Public Health, Faculty of Sport Science, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/kemas.v18i2.31880

Abstract

The number of people with diabetes mellitus (DM) worldwide continues to increase. In 2019, Indonesia was the seventh country with the largest number of people with DM worldwide. The people with DM in Indonesia were dominated by the productive age population. This study aims to determine the variables affecting the prevalence of DM in Indonesia in 2018. The analysis unit used is 34 provinces in Indonesia, where the data comes from the Health Ministry of the Republic of Indonesia and Statistics Indonesia. Graph analysis and multiple linear regression are the methods used in this study. DKI Jakarta has the highest DM prevalence in Indonesia, reaching 3.4 percent. The prevalences of obesity and hypertension have a positive effect on the prevalence of DM. The result shows that every one percent increase in the prevalence of obesity will increase the prevalence of DM by 0.049 percent. While, every one percent increase will increase the prevalence of DM by 0.168 percent. The percentage of the population smoking, not exercising, the unemployment rate, and the average length of schooling does not affect the prevalence of DM in Indonesia. 
Social Network Analysis untuk Identifikasi Pengguna Twitter Berpengaruh pada Topik Bencana Gempa dan Tsunami di Indonesia Ibnu Santoso; Siskarossa Ika Oktora; Siti Muchlisoh; Ernawati Pasaribu
JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 9, No 1 (2023): Volume 9 No 1
Publisher : Program Studi Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jp.v9i1.62211

Abstract

Indonesia merupakan negara yang rawan terjadi bencana alam seperti gempa dan tsunami. Seiring dengan perkembangan teknologi, arus informasi mengenai kebencanaan juga mengalir di media sosial seperti Twitter. Penggunaan Twitter dalam kaitannya dengan kebencanaan telah banyak diteliti antara lain untuk penyebarluasan informasi, alat manajemen dan pengurangan resiko, pemantauan aktivitas tanggap darurat, dan lain-lain. Penelitian ini bertujuan untuk mengidentifikasi pengguna twitter berpengaruh khusus untuk topik bencana gempa dan tsunami di Indonesia dengan menggunakan Social Network Analysis (SNA) dengan dan tanpa mempertimbangkan faktor frequency dan engagement. Hasil SNA tanpa mempertimbangkan faktor frequency dan engagement menunjukkan bahwa pengguna Twitter yang dinilai paling berpengaruh pada topik bencana gempa dan tsunami adalah situs berita seperti detikcom dengan influence score sebesar 0,77. Sedangkan jika mempertimbangkan faktor frequency dan engagement menunjukkan bahwa pengguna Twitter yang dinilai paling berpengaruh pada topik bencana gempa dan tsunami adalah akun infoBMKG dengan indeks influence score sebesar 0,63. Berdasarkan hasil penelitian ini ditemukan bahwa BMKG telah berperan penting dalam pemberian informasi mengenai bencana gempa bumi dan tsunami di Indonesia dan mendapatkan kepercayaan luas dari masyarakat yang ditunjukkan dengan adanya engagement yang lebih tinggi dibandingkan akun lainnya.
Proporsi Perempuan yang Bekerja pada Posisi Manajerial di Indonesia Tahun 2015-2021: Pendekatan Feasible Generalized Least Square Aghnia Ussyarovi; Siskarossa Ika Oktora
Jurnal Statistika dan Aplikasinya Vol 7 No 1 (2023): Jurnal Statistika dan Aplikasinya
Publisher : Program Studi Statistika FMIPA UNJ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JSA.07106

Abstract

The fifth goal of the SDGs is to achieve gender equality and empower women. One indicator of women's empowerment is to give women the opportunity to be in managerial positions. The proportion of women working in managerial positions tends to increase from year to year but still lagging behind and there are gaps compared to men. This study aims to determine the effect of the percentage of women with the highest diploma who had a minimum of Diploma IV, female AHH, female LFPR, the number of women who attended training, and the percentage of women working with married status on the proportion of women working in managerial positions in Indonesia 2015-2021. The data used is secondary data obtained from the Central Statistics Agency. The method used is the fixed effect panel data regression method with the Feasible Generalized Least Square estimation method. The results of this study indicate that the percentage of women with the highest diploma who had a minimum of Diploma IV, female AHH, and the percentage of women working with married status have a significant effect, while female LFPR and the number of women who attended training did not significantly affect the proportion of women working in managerial positions.
Spatial-Temporal Analysis of Deforestation in Sumatera Island 2011-2019 Andrian Dwi Putra; Siskarossa Ika Oktora
Proceedings of The International Conference on Data Science and Official Statistics Vol. 2021 No. 1 (2021): Proceedings of 2021 International Conference on Data Science and Official St
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/icdsos.v2021i1.202

Abstract

The existence of forests is threatened with deforestation, which can affect climate disturbances and environmental decay. This study aims to analyze determinants of deforestation in Sumatera Island from 2011-2019. The dependent variable is deforestation, and the independent variables are population density, land fires, road length, GDP of agricultural, fisheries, and forestry, and GDP of mining and excavation. The results show that there is spatial-temporal heterogeneity in deforestation in Sumatera Island from 2011-2019. Furthermore, because of the normality violation, the Robust Geographically and Temporally Weighted Regression (RGTWR) method is used. Analysis shows variables affecting deforestation in Sumatera Island vary in each province and change annually. Land fires were always significant in every province and every year from 2011-2019. To overcome deforestation, the governments need to consider the varying causes of deforestation, more firmly to forestry regulation and establish cooperation with local communities in managing forest.
Determinan Produktivitas Tenaga Kerja Industri Manufaktur Besar dan Sedang di Pulau Jawa Sari, Rika Dwi Puspita; Oktora, Siskarossa Ika
Jurnal Ekonomi dan Pembangunan Indonesia Vol. 21, No. 2
Publisher : UI Scholars Hub

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Abstract

Industrialization is one of the government’s focuses on development. Java is an area focused on the industry. However, the labor productivity of large and medium manufacturing industries in Java is lower than regions outside Java and national level of productivity. This study aims to analyze determinants of labor productivity in large and medium manufacturing industries in all provinces in Java from 2010 to 2015 using panel data regression. As the best model, fixed effect model showed that HDI, real wages, and vehicle PMTB has a positively significant effect on labor productivity.
Simultaneous Relationship between Financial Inclusion, Economic Growth, and Income Inequality in Sulawesi Island, 2011-2019 Nursaliyawati, Adella Siti; Oktora, Siskarossa Ika
Economics and Finance in Indonesia Vol. 68, No. 2
Publisher : UI Scholars Hub

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Abstract

Sulawesi Island has fairly high economic growth but is not followed by a significant decrease in income inequality. Therefore, a new strategy is needed to overcome these problems, one of them by increasing the role of the financial sector through financial inclusion. This study aims to analyze the relationship between financial inclusion, economic growth, and income inequality, as well as the factors influencing them in Sulawesi Island from 2011 to 2019. The analytical method used is the simultaneous equation model with panel data using the EC2SLS model. The results show that there is a simultaneous relationship between financial inclusion and economic growth and also between economic growth and income inequality. Economic growth has a positive and significant effect on financial inclusion. Financial inclusion, foreign direct investment, and government spending have a positive and significant effect, while income inequality has a negative and significant effect on economic growth. Financial inclusion and inflation have a positive and significant effect, while economic growth has a negative and significant effect on income inequality. Thus, this study can show that financial inclusion can reduce income inequality by promoting economic growth.
Determinan Kejahatan Siber (Cybercrime) di ASEAN Tahun 2015-2020: Pendekatan Panel Data Regression with Random Effect Daffa Dhiaulhaq, Hafsha; Siskarossa Ika Oktora
Jurnal Statistika dan Aplikasinya Vol. 7 No. 2 (2023): Jurnal Statistika dan Aplikasinya
Publisher : LPPM Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JSA.07205

Abstract

The use of information and communication technology in ASEAN is massive and growing. This development not only has a positive impact, but also a negative one. In addition to advancements in various fields, criminality is also increasing. ASEAN is the fastest growing digital market in the world. As digital technology becomes more integrated into our lives, cybercrime will increase exponentially. This study aims to determine the overview and variables that affect cybercrime in ASEAN in 2015-2020. This research uses secondary data from ITU, World Bank, UNDP, and Transparency International the Global Coalition Against Corruption. Through descriptive analysis, it is found that the value of the Global Cybersecurity Index (GCI) in ASEAN has increased, but there is still a cybersecurity gap between countries in ASEAN. Through the panel data regression equation formed, it is found that economic growth, mobile broadband users, and average years of schooling significantly affect the GCI in ASEAN in 2015-2020. Meanwhile, the variables of mobile cellular users, technology exports, and corruption perception index do not have a significant effect. Therefore, governments in ASEAN countries are also expected to continue to increase economic growth and allocate budgets for technical implementation of cybersecurity. In addition, the government should maintain the stability of the number of mobile broadband users, and increase the average number of mobile broadband users.
Determinants of Prehypertension and Hypertension Among Indonesian Productive-Age Population Using Ordinal Logistic Regression With Non-Proportional Odds Model Yafi’, Muhammad Almas; Siskarossa Ika Oktora
Jurnal Statistika dan Aplikasinya Vol. 8 No. 1 (2024): Jurnal Statistika dan Aplikasinya
Publisher : LPPM Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JSA.08110

Abstract

Non-communicable diseases (NCDs) account for the majority of deaths in Indonesia, especially cardiovascular diseases. The main risk factor for cardiovascular disease is hypertension, which is also a disease with the highest increase in prevalence compared to other NCDs. The risk of cardiovascular disease doubles for every increase in blood pressure of 20/10 mmHg and starts from a pressure of 115/75 mmHg. Therefore, a prehypertension category was introduced which also aims to prevent the development of hypertension. The prevalence of hypertension in the majority of the productive age population (15─64 years) has exceeded the RPJMN 2015─2019 target, even though Indonesia is currently in the demographic bonus period. This research aims to obtain a general picture and factors that influence blood pressure status in the productive age population in Indonesia in 2018. The data used comes from Riskesdas which is integrated with Susenas in 2018. The results of the ordinal logistic regression analysis (non-proportional odds model) show that consumption of fruit and vegetables, consumption of fatty foods, consumption of salty foods, consumption of seasonings, alcohol consumption, smoking status, physical activity, education level, employment status, poverty status, residence, age, gender, and body mass index have a significant effect on blood pressure status in the productive age population.
Determinan Nilai Ekspor Jasa Transportasi di Negara-Negara ASEAN Subriandi, Askar; Oktora, Siskarossa Ika
Buletin Ilmiah Litbang Perdagangan Vol. 18 No. 1 (2024): BILP
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/bilp.2024.28

Abstract

Transportation services are the most significant contributor to the deficit in the Association of Southeast Asian Nations (ASEAN) services trade. From 2016 to 2019, eight out of ten countries in the ASEAN still experienced a trade deficit in transportation services. So that this condition does not drag on in a continuous deficit, one of the policies that each country can carry out is to increase the export performance of transportation services. This study aims to determine the factors that affect the export of transportation services in ASEAN. The secondary data used is trade flow data from 2012 to 2019 from the ASEAN Secretariat and World Bank. The method used is panel data regression with the Random Effect Model (REM). The result found that foreign direct investment, exports of goods, and value-added services significantly affect exports of transportation services in ASEAN. Meanwhile, internet users and exchange rates do not substantially affect exports of transportation services in ASEAN. The results of this study recommend continuing to improve the climate for ease of investment. In addition, it is essential to utilize resources that can increase the production of transportation services and maintain the availability of raw materials and capital goods.
Analysis Of Risk for Class Shifting And Determinants of BPJS Kesehatan Membership Using Generalized Ordered Logit-Unconstrained Partial Proportional Odds Model Oktora, Siskarossa Ika; Wulansari, Ika Yuni; Ermawan, Geri Yesa
Jurnal Ekonomi Kesehatan Indonesia Vol. 4, No. 2
Publisher : UI Scholars Hub

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Abstract

The main source of funding of BPJS Kesehatan comes from the different premium class in which the participant registered. The medical benefits among classes are equivalent, except inpatient facilities. But when the improvement health degree is not linear with the incurred costs, problem would arise. This study aims to analyze class shifting and determinants of BPJS Kesehatan membership. Around 1.53 percent of participants access higher classes, while 5.62 percent access lower classes. Class III participants with inpatient status severity level 2 and 3, reaching 41% and 43%, respectively. In addition, 60% of non-PBI participants are Class II premium participants; most of them are male, productive age, and workers. This research using Generalized Ordered Log- it Unconstrained Partial Proportional Odds Model concludes that participants who are married tend to choose higher premium class. Whereas productive age participants and a worker is in the lower premium class. The recommendation is the evaluation of membership based on class premium contributions considering potential participants (productive age and workers) who tend should be conducted in a lower class. Although mutual assistance is the principle of National Health Insurance, specific mechanisms should be established to examine the relation of age and health status to each participant regarding the difference in the registered class, besides their economic factors
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