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All Journal JURNAL MANAJEMEN TRANSPORTASI & LOGISTIK Jurnal Geografi LIngkungan Tropik (Journal of Geography of Tropical Environments)
MASITA DWI MANDINI MANESSA, MASITA DWI MANDINI
PSMIL PPs Unud
Decision Sciences, Operations Research & Management Earth & Planetary Sciences Transportation

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Isu Penyelarasan Flight Information Region di atas Wilayah Natuna Supriyadi, Asep Adang; Manessa, Masita Dwi Mandini; Gultom, Rudy Agus Gemilang
JURNAL MANAJEMEN TRANSPORTASI & LOGISTIK Vol 5, No 3 (2018): NOVEMBER
Publisher : Sekolah Tinggi Manajemen Transportasi (STMT) Trisakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25292/j.mtl.v5i3.273

Abstract

Citizen sentiment is essential to evaluate the support toward government program. In 2015, Indonesian government proposed an acceleration program on re-alignment on Flight Information Region above Natuna area. Since then, primary of discussion is often be held as a formal or informal event. The data collected from 210 respondent, which consist of pilots, military staff, ATC staff, and academician. Furthermore, this study uses TF-IDW weighting technique to cluster the argument as positive, neutral, and negative sentiment. The result shows that most of Indonesia aviation community (75%) argue that FIR management should base on sovereignty and safety. Moreover, FIR issue under economic, national security and management shows significant positive respond (>90%) while FIR management under Singapore shows a negative response (100%). The result indicates that the aviation community supports the national program Natuna FIR re-alignment.
SPATIAL DISTRIBUTION PATTERNS ANALYSIS OF HOTSPOT IN CENTRAL KALIMANTAN USING FIMRS MODIS DATA Pratamasari, Adisty; Permatasari, Ni Ketut Feny; Pramudiyasari, Tia; Manessa, Masita Dwi Mandini; Supriatna, Supriatna
Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments) Vol. 4, No. 1
Publisher : UI Scholars Hub

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Abstract

One of the ways to observe the hotspot created by forest fires in Indonesia is through Remote sensing imagery, such as MODIS, NOAA AVHRR, etc. Central Kalimantan is one of the areas in Indonesia with the highest hotspot data. In this research, MODIS FIRMS hotspot data in Central Kalimantan collected from 2017 – 2019, covering 13 districts: South Barito, East Barito, North Barito, Mount Mas, Kapuas, Katingan, Palangkaraya City, West Kotawaringin, East Kotawaringin, Lamandau, Murung Raya, Pulang Pisau, Seruyan, and Sukamara. That is four aspects that this research evaluated: 1) evaluating the spatial pattern using the Nearest Neighbor Analysis (NNA); 2) evaluate the hotspot density appearance using Kernel Density; and 3) correlation analysis between rainfall data and MODIS FIRMS. As a result, the hotspot in Central Kalimantan shows a clustered pattern. While the natural breaks KDE algorithm shows the most relevant result to represent the hotspot distribution. Finally, the hotspot is low correlated with rainfall; however, is see that most of the hotspot (~90%) appeared in low rainfall month (less than 3000 mm/month).
Co-Authors Gultom, Rudy Agus Gemilang Permatasari, Ni Ketut Feny Pramudiyasari, Tia Pratamasari, Adisty Supriatna Supriatna Supriyadi, Asep Adang