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All Journal Jurnal Aplikasi Statistika & Komputasi Statistik Journal of Infrastructure Policy and Management (JIPM)
Siregar, Tifani Husna
Unknown Affiliation
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Engineering Environmental Science Industrial & Manufacturing Engineering Mathematics

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Spillover Effects of Digital Infrastructure and Financing Yoshino, Naoyuki; Siregar, Tifani Husna; Azhgaliyeva, Dina
Journal of Infrastructure Policy and Management (JIPM) Vol. 5 No. 1 (2022): Journal of Infrastructure Policy and Management (JIPM)
Publisher : PT Penjaminan Infrastruktur Indonesia (Persero)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35166/jipm.501.0023

Abstract

This article proposes a tax sharing scheme between governments and private sector investors of Information and Communications Technology (ICT) infrastructure. The current COVID-19 pandemic has not only emphasized the crucial need of ICT infrastructure development, but has also expanded government budget deficits in many countries. Therefore, participation from the private sectors is necessary to close the widening investment gap in ICT infrastructure. One of the measures to attract private sectors’ involvement in ICT infrastructure is by creating a steady stream of income for the investors. To ensure the success of the proposed financing scheme, this article also recommends the development of supporting hard and soft infrastructure as well as the digitalization of tax reporting systems
Clustering Regencies/Cities Vulnerable to Air Pollution in the Java Island: Fuzzy Geographically Weighted Clustering Kusuma, Arya Candra; Wijayanto, Arie Wahyu; Arista; Bahar, Vicka Kharisma; Siregar, Tifani Husna
Jurnal Aplikasi Statistika & Komputasi Statistik Vol 17 No 2 (2025): Jurnal Aplikasi Statistika & Komputasi Statistik
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34123/jurnalasks.v17i2.618

Abstract

Introduction/Main Objectives: Air pollution has become a critical global concern with substantial effects on human health and the environment. Background Problems: Java Island in Indonesia, recognized for its high population density and industrial activities, necessitates focused effort in resolving this issue. Novelty: While air pollution research has been enormous, there has been no effort to cluster regencies or cities on Java Island utilizing spatially-based data. This research seeks to cluster regencies and cities on Java Island according to air pollution levels and to compare geodemographic and non-geodemographic clustering methodologies. Research Methods: This study employs secondary data regarding air pollution, obtained from the Openweather API. This study employs a geodemographic clustering technique, namely fuzzy geographically weighted clustering (FGWC), optimized by the artificial bee colony (ABC) algorithm. Finding/Results: The study findings indicate that the geodemographic clustering method ABCFGWC surpasses Fuzzy C-Means (FCM) according to the TSS (Tang-Sun-Sun) index. The data reveal that the Greater Jakarta or Jabodetabek area and its adjacent territories are more susceptible to air pollution. The findings of this study are expected to enhance the spatial planning and mapping of air pollution management strategies on Java Island.
Co-Authors Arie Wahyu Wijayanto Arista Azhgaliyeva, Dina Bahar, Vicka Kharisma Kusuma, Arya Candra Yoshino, Naoyuki