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CHARACTERISTICS OF TRANSIT ORIENTED DEVELOPMENT AREA (CASE STUDY: JAKARTA MRT) Siburian, Tomi Enjeri; Sumadio, Widyawati; Shidiq, Iqbal Putut Ash
Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments) Vol. 4, No. 1
Publisher : UI Scholars Hub

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The city of Jakarta is famous because the traffic jams, so the transportation sector needs special attention. Based on data from the Jakarta Transportation Management Agency, of the 47.5 million trips in Jakarta City, only 24% used public transportation. The Jakarta City Government has provided public transportation modes, namely the MRT. This mode of transportation offers a basic concept of TOD, area around the 400 meter buffer from the station can be accessed by walking. This concept has been developed in various cities on the Continent of Europe and America. The space conditions in a TOD based area can be assessed using the TOD Index measurement. Each TOD Index criterion has its own indicators. This study uses 8 criteria and 18 indicators that can measure the value of the TOD Index at each MRT station. Processing data is using spatial processing so that each indicator can be analyzed holistically from a spatial perspective. The TOD area of Bendungan Hilir Station is a station with the highest TOD value, amounting to 0.71. TOD Station in Lebak Bulus Station takes the lowest TOD Index value of 0.31. The TOD Index’s value at each station can be influenced by the weight of each indicator and criteria. Through this research, it is hoped that each policyholder can pay attention to every indicator on the station that is deemed necessary to be improved if needed for a TOD-based area that is in accordance with the concept of a smart city
Spatial Study of Eel Larva Habitat in Ciletuh Bay Waters, Sukabumi Regency, West Java Annisa, Illa; Supriatna, Supriatna; Shidiq, Iqbal Putut Ash; Indra, Tito Latif; Gracia, Enrico
Jambura Geoscience Review Vol 6, No 1 (2024): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jgeosrev.v6i1.21796

Abstract

Eels (Anguilla spp.) are highly nutritious fish that are widely consumed. Ciletuh Bay, situated opposite the Indian Ocean, is a natural habitat for eel larvae. The migration of eel larvae is influenced by various oceanographic factors, including salinity, sea surface temperature, and chlorophyll-a. In order to support fisheries activities in Sukabumi Regency, it is important to identify the optimal habitat for eel larvae and obtain information about their abundance. This study used remote sensing techniques and two algorithms, the Cilamaya Algorithm to estimate salinity and the Wibowo Algorithm to estimate chlorophyll-a. The study was conducted during the wet, dry, and transitional months of 2019 and 2020 in Ciletuh Bay. The potential areas for eel larvae were found to be concentrated at the mouth of the river during the wet month, at the estuary and the shore during the dry month and the first transitional month, and tended to spread during the second transitional month. The largest potential area was found during the dry month of 2019, covering an area of 3.44 km2, but the potential was more stable during the wet months.
Dynamics of Urban Heat Island and Anthropogenic Emissions in Bekasi before and during COVID-19 Pandemic using Landsat 8 and Sentinel-5P Parhusip, Ramanatalia; Shidiq, Iqbal Putut Ash; Semedi, Jarot Mulyo
Journal of Information Technology and Computer Science Vol. 7 No. 2: August 2022
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.72437

Abstract

The rise in temperature in urban areas resulting in UHI formation is thought to be significantly driven by anthropogenic emissions due to human activities. During the COVID-19 pandemic, the Indonesian government issued the Large-Scale Social Restrictions (PSBB) and Community Activities Restrictions Enforcement (PPKM) policy. Bekasi Regency is part of the Jabodetabek megapolitan that applied strict PSBB and PPKM treatment during the pandemic. The decreasing industrial activity and traffic volume are expected to reduce air pollutants and thermal radiation. The research method uses processed satellite imagery from Sentinel 5P to get anthropogenic emissions concentrations (NO2 and SO2) and Landsat 8 to get land surface temperature (LST). The results showed that Bekasi had a slight decrease in the concentration of anthropogenic emissions during COVID-19 pandemic 2020, then increased during COVID-19 pandemic 2021. The areas affected by urban heat islands increased steadily during the COVID-19 pandemic. Therefore, when the concentration of anthropogenic emissions rises, the UHI ascends.
A study on spatio-temporal trend of rubber leaf fall phenomenon using planetscope multi-index vegetation imagery in relations to climatological conditions Sopian, Nadya Ata Meiviana; Supriatna; Manessa, Masita Dwi Mandini; Shidiq, Iqbal Putut Ash; Nagasawa, Ryota; Haidar, Muhammad
Environmental and Materials Vol. 2 No. 1: (June) 2024
Publisher : Institute for Advanced Science, Social, and Sustainable Future

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61511/eam.v2i1.2024.906

Abstract

Background: Rubber plants are one of the most important plantation commodities in Indonesia. However, rubber production has declined due to leaf fall disease caused by the pathogen Pestalotiopsis sp. This study aims to analyze the spatial and temporal distribution of rubber plant leaf fall disease using multi-vegetation indices from PlanetScope imagery, as well as to analyze the influence of climatological conditions on the disease. Methods: The research was conducted at the Sembawa Rubber Research Center Garden, South Sumatra, using PlanetScope imagery data and climatological data in 2017 (before leaf fall) and 2023 (after leaf fall). Finding: Spatially, the 2023 leaf fall occurred in almost the entire garden area with poor to moderate levels. Blocks 2013D, 2012F, and 2009F experienced the most severe levels, with a total defoliated area reaching 396.76 ha. Analysis of monthly variations in vegetation index values revealed a decrease in values during leaf fall due to Pestalotiopsis sp., specifically in February, May, and September 2023. Statistical test results showed significant differences in vegetation index values between 2017 and 2023. Furthermore, based on Spearman's correlation analysis, there was a positive correlation between vegetation index values and humidity, but no significant correlation with rainfall and temperature. Conclusion: This research provides insights into mapping and monitoring rubber leaf fall disease using remote sensing data and climatological factors, which can be used for more effective rubber plantation management. However, the study has some limitations: monthly Planet data for 2017 is not fully available, several Planet image scenes from 2017 still have more than 50% cloud cover, and there may be biases as plants falling into the low health class are included in the high range of vegetation index values. Novelty/Originality of this Study: By integrating spatial and temporal analyses with climatological data, the research provides a precise and comprehensive method for monitoring LFD and understanding its environmental determinants, thereby enhancing traditional rubber plantation management practices.