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This Author published in this journals
All Journal The Journal of Indonesia Sustainable Development Planning (JISDeP) The International Journal of Remote Sensing and Earth Sciences (IJReSES)
Dianovita
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Earth & Planetary Sciences Economics, Econometrics & Finance Energy Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences

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EFFECT OF ATMOSPHERIC CORRECTION ALGORITHM ON LANDSAT-8 AND SENTINEL-2 CLASSIFICATION ACCURACY IN PADDY FIELD AREA Fadila Muchsin; Kuncoro Adi Pradono; Indah Prasasti; Dianovita; Kurnia Ulfa; Kiki Winda Veronica; Dandy Aditya Novresiandi; Andi Ibrahim
International Journal of Remote Sensing and Earth Sciences Vol. 20 No. 1 (2023)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2023.v20.a3845

Abstract

Landsat-8 and Sentinel-2 satellite imageries are widely used for various remote sensing applications because they are easy to access and free to download. A precise atmospheric correction is necessary to be applied to the optical satellite imageries so that the derived information becomes more accurate and reliable. In this study, the performance of atmospheric correction algorithms (i.e., 6S, FLAASH, DOS, LaSRC, and Sen2Cor) was evaluated by comparing the object's spectral response, vegetation index, and classification accuracy in the paddy field area before and after the implementation of atmospheric correction. Overall, the results show that each algorithm has varying accuracy. Nevertheless, all atmospheric correction algorithms can improve the classification accuracy, whereby those derived by the 6S and FLAASH yielded the highest accuracy.
NEW AUTOMATED CLOUD AND CLOUD-SHADOW DETECTION USING LANDSAT IMAGERY Kustiyo; Dianovita; Hedi Ismaya; Mulia Inda Rahayu; Erna Sri Adiningsih
International Journal of Remote Sensing and Earth Sciences Vol. 9 No. 2 (2012)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2012.v9.a1831

Abstract

Cloud cover has become a major problem in the use of optical satellite imageries, particularly in Indonesian region located along equator or tropical region with high cloud cover almost all year round. In this study, a new method for cloud and cloud shadow detection using Landsat imagery for specific Indonesian region was developed to provide a more efficient and effective way to detect clouds and cloud shadows. Landsat Top of Atmosphere (TOA) reflectance and Brightness Temperature (BT) were used as inputs into the model. The first step was to detect cloud based on cloud physical properties using albedo and thermal bands, the second step was to detect cloud shadows using the Near Infrared (NIR), and Short Wave Infrared (SWIR) bands, and finally, the geometric relationships were used to match the cloud and cloud shadow layer, before proceeding to the production of the final cloud and cloud shadow mask. The results were then compared with other method such as tree base cloud separation. It showed that method we proposed could provide better result than tree base method, the accuracy result of this method was 98.75%.
Analysis of Transjakarta Bus Fare Adjustment Based on the Ability to Pay (ATP) Method Perdana, Gema Krisni Indra; Dianovita; Octo Alexandro; Gagar Asmara Sofa; Midun Imbas; Saras Fauzia Dienanda
The Journal of Indonesia Sustainable Development Planning Vol 7 No 1 (2026): April
Publisher : Pusbindiklatren Bappenas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46456/jisdep.v7i1.704

Abstract

TransJakarta's (TJ) fixed fare policy of Rp 3,500, supported by subsidies from the Jakarta Provincial Government (PSO), has kept public transportation fares in Jakarta affordable for the public. However, this policy has also gradually worsened the finances of the Jakarta’s Provincial Government and TJ's own going concern. This study analyzes various fare schemes by comparing users' Ability to Pay (ATP), user travel behavior by survey, and ticket revenue implications to encourage the formulation of new regulations by the Governor of DKI Jakarta on sustainable fares. This analysis uses primary data from the 2023 TransJakarta User Mobility Survey, supplemented by data from the 2021–2022 National Socioeconomic Survey (SUSENAS) and origin-destination (OD) analysis based on Geographic Information Systems (GIS). The methodology used in this study is the Travel Cost Method calculation, which calculates user ATP with the assumption that 10% of household income is spent on transportation. The average travel distance per trip per day is 11.7 km, resulting in an ATP value of Rp 1,237/km. Based on the analysis, the most balanced outcome of the tested scenarios was found to be a tiered fare system based on distance, with a fare of Rp 4,000 for the first 10 km, Rp 416 for each additional kilometer, and a maximum of Rp 14,477. This system increases ticket revenue while maintaining fair and reasonable prices. The study emphasizes the importance of gradual adoption and ongoing monitoring to ensure effective and equitable fare reform.
Co-Authors Andi Ibrahim Dandy Aditya Novresiandi Erna Sri Adiningsih Fadila Muchsin Gagar Asmara Sofa Hedi Ismaya Indah Prasasti Kiki Winda Veronica Kuncoro Adi Pradono Kurnia Ulfa Kustiyo Midun Imbas Mulia Inda Rahayu Octo Alexandro Perdana, Gema Krisni Indra Saras Fauzia Dienanda