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All Journal Saintika Medika: Jurnal Ilmu Kesehatan dan Kedokteran Keluarga. Statistika Jurnal Nasional Teknik Elektro dan Teknologi Informasi Prosiding Seminar Nasional Official Statistics
Efri Diah Utami
Unknown Affiliation
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Mathematics Medicine & Pharmacology Public Health Social Sciences

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Pengaruh Faktor Struktural dan Kebijakan terhadap Partisipasi Industri Logam Dasar Indonesia dalam Global Value Chain (GVC) di Kawasan RCEP Nurul Dwi Afifah; Efri Diah Utami
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (503.878 KB) | DOI: 10.34123/semnasoffstat.v2022i1.1552

Abstract

Indonesia's basic metal industry has a strong role in GVC in accordance with basic metal resources, which are among the largest and are driven by RCEP with superior structural and economic conditions. This study aims to analyze the participation of Indonesia's basic metal industry in GVC using input-output analysis and to analyze the influence of structural and policy factors using the Gravity Panel Model. The participation of Indonesia's basic metal industry in GVC tends to fluctuate and is dominated by forward participation, which plays a role in the upstream sector. The estimation results show that total participation in GVC is influenced by market size, economic distance, quality of institutions, downstream policies, and participation in RCEP. Forward participation is influenced by market size, economic distance, and level of industrialization. Meanwhile, backward participation is influenced by market size, economic distance, level of industrialization, quality of institutions, downstream policies, and participation in RCEP.
Influence Of Health Behaviour Factors On Basic Immunisation In Indonesia 2022 Syifa Faikhatul Ilmi; Efri Diah Utami
Saintika Medika Vol. 20 No. 2 (2024): December 2024
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/sm.Vol20.SMUMM2.35004

Abstract

Background: The coverage of complete basic immunisation in Indonesia from 2020 to 2022 never reached the target of the 2020-2024 National Medium-Term Development Plan despite various efforts made by the government. As a result, there are many cases of infectious diseases in children. Therefore, this study aims to determine the overview of the coverage of complete basic immunisation in Indonesia in 2022 and the effect of antenatal care visits, doctor ratio, and ownership of immunisation documents on the coverage of complete basic immunisation in Indonesia in 2022. Methods: This study uses data from the Central Bureau of Statistics publication and the Ministry of Health publication. The analysis method used in this study is multiple linear regression analysis. Results: Antenatal care visits and the ratio of doctors have a positive and insignificant effect on the coverage of complete basic immunisation in Indonesia in 2022 while ownership of immunisation documents has a significant positive effect. Conclusion: The variable of ownership of immunisation documents is the most influential variable on the coverage of complete basic immunisation. This variable will increase the coverage of complete basic immunisation by 1.377 percent every 1 percent increase in the percentage of ownership of immunisation documents.
Model Klasifikasi Multilabel pada Publikasi Penelitian SDG dengan Pendekatan Multilevel dan Hierarki Berliana Sugiarti Putri; Lya Hulliyyatus Suadaa; Efri Diah Utami
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 14 No 1: Februari 2025
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v14i1.16265

Abstract

The growing number of research publications complicates the identification of the implementation of research publications, especially related to sustainable development goals (SDGs). The research publication categorization into SDG levels has not been conducted. The Center for Research and Community Service (Pusat Penelitian dan Pengabdian Masyarakat, PPPM) Politeknik Statistika (Polstat) STIS needs this to monitor lecturers in implementing SDGs. This study aimed to implement and evaluate problem transformation methods and machine learning classification algorithms with a multilevel and hierarchical approach to categorize research publications into SDG levels. Problem transformation methods used were binary relevance, label powerset (LP), and classifier chains. Machine learning classification algorithms used were logistic regression (LR) and support vector machine (SVM). The inputs included titles, abstracts, and titles and abstracts. The best filter model that classified data into SDGs-non-SDGs was the model with titles and SVM, with an accuracy of 0.8634. The best level model for classifying data to SDG level was the model using titles, LP, and SVM with multilevel approaches. The level model classified data into four pillars, goals, targets, and indicators of SDGs, with an accuracy of 0.8067, 0.7501, 0.6792, and 0.6194, respectively. In comparison to other inputs with more comprehensive information, the results showed that title inputs yielded the best accuracy due to the simultaneous use of English and Indonesian. Future research can modify the model to utilize a single language input to optimize the term frequency-inverse document frequency (TF-IDF) process, hence, the word meanings from each language are not considered different important words.
Co-Authors Afifah Siti Muslikhah Annisa Salsabila Aulia Berliana Sugiarti Putri Bertha Sani Lake Daniel M V Mone Dwi Ardian Firdaus Firdaus Khairunissa Balqis Zhahira Miko Oktavio Wijaya Nurul Dwi Afifah Retnaningsih Retnaningsih Suadaa, Lya Hulliyyatus Sukim Sukim Syifa Faikhatul Ilmi Tantri Retno Anasthasia Viki Tria Zianrini