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All Journal Indonesian Journal of Applied Environmental Studies Efficient: Indonesian Journal of Development Economics
Aditya, Randy Daffa
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Economics, Econometrics & Finance Environmental Science

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Analysis of Carbon Emissions in ASEAN Manufacturing: Input-Output and Panel Data Approach Kartiasih, Fitri; Sandi, Imella Mendita; Abioga, Naufal Raffie; Aditya, Randy Daffa; Sabrina, Rizka
Efficient: Indonesian Journal of Development Economics Vol. 8 No. 1 (2025)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jsnnrt53

Abstract

This research aims to identify the leading sectors in four ASEAN countries and analyze the influence of production in these sectors and the consumption of renewable energy on carbon dioxide emissions in these countries. The analytical methods used include the analysis of inter-sector linkages and identifying leading sectors using input-output tables, followed by further analysis with panel data regression. The results indicate that while the leading sectors vary among the four countries, the manufacturing sector predominantly leads. Additionally, GDP in the manufacturing sector and renewable energy consumption significantly affect carbon dioxide emissions in the four ASEAN countries
Analysis of flood-prone areas in DKI Jakarta Province using Clustering Method Aditya, Randy Daffa; Habibi, Muhammad Abdul Aziz
Indonesian Journal of Applied Environmental Studies Vol 5, No 1 (2024): Volume 5 Number 1 April 2024
Publisher : Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/injast.v5i1.10259

Abstract

The objective of this research is to ascertain the patterns and organization of flood-affected areas in Jakarta. The dataset of flood incidents in the DKI Jakarta Province in 2020 served as the data source for this study. The research employed three methods: K-Means, K-Medoid, and Hierarchical Clustering. Of these, Hierarchical Clustering produced the best grouping in comparison to the other methods. The findings of the study show that the flood-affected areas in DKI Jakarta are classified into three groups: safe (cluster 1), moderate (cluster 2), and vulnerable (cluster 3). The districts of Cengkareng, Jatinegara, and Pulogadung are among the vulnerable areas. ABSTRAK Tujuan penelitian ini adalah untuk mengetahui pola dan penataan wilayah terdampak banjir di Jakarta. Dataset kejadian banjir di Provinsi DKI Jakarta tahun 2020 dijadikan sebagai sumber data penelitian ini. Penelitian ini menggunakan tiga metode: K-Means, K-Medoid, dan Hierarchical Clustering. Dari ketiga metode tersebut, Hierarchical Clustering menghasilkan pengelompokan terbaik dibandingkan dengan metode lainnya. Temuan penelitian menunjukkan bahwa wilayah terdampak banjir di DKI Jakarta diklasifikasikan menjadi tiga kelompok: aman (kluster 1), sedang (kluster 2), dan rentan (kluster 3). Kecamatan Cengkareng, Jatinegara, dan Pulogadung termasuk wilayah yang rentan.
Co-Authors Abioga, Naufal Raffie Fitri Kartiasih Habibi, Muhammad Abdul Aziz Sabrina, Rizka Sandi, Imella Mendita