Development of micro-level classifiers from land suitability analysis for drought-prone areas in Indonesia

Habibie, Muhammad Iqbal; Noguchi, Ryozo; Matsushita, Shusuke; Ahamed, Tofael

doi:10.1016/j.rsase.2020.100421

Cited by 25 publications

(10 citation statements)

References 47 publications

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“…Furthermore, Lotulung also explained that in the first type of execution, Article 116 section ( 2) is applied four months after the court decision, which has obtained permanent legal force as referred to in paragraph (1) was sent. When the defendant fails to carry out assigned obligations, then the disputed State Administrative Decisions (beschikking) has no legal force anymore (Habibie et al 2020).…”

Section: Methodsmentioning

confidence: 99%

Application of Sanctions Against State Administrative Officials in Failure to Implement Administrative Court Decisions

Noor

Afkar

Glaser

2021

BESTUUR

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The purpose of this research is to determine the nature, types, and execution of administrative court decisions, as well as the position of the Prosecutor's office in the Indonesian legal system. This research also examines the legal consequences for officials that do not adhere to administrative court decisions. This is prescriptive legal research and descriptive normative legal research, comprising a statute and case approach, with data collected from primary and secondary legal materials. Firstly, the results showed that the nature of administrative court decisions is erga omnes. The types of administrative court decisions are before and after the dispute subject examination. Furthermore, the execution consists of the obligation to revoke the state administrative decisions, issue new laws due to the petition for negative or positive fictitious choices, and the imposition of compensation and rehabilitation in employment disputes. Secondly, the position of the Prosecutor was categorized into executive power. Thirdly, state administrative officials are obliged to implement administrative court decisions. To not implementing the administrative court decision is a violation of the principle of legality. Legal consequences for government officials that do not subject to and are disobedient to the administrative court decision with legal force should still be imposed administrative sanctions by their superiors.Keywords: Administrative Sanctions; Administrative Court; Prosecutor’s Office.

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Section: Methodsmentioning

confidence: 99%

Application of Sanctions Against State Administrative Officials in Failure to Implement Administrative Court Decisions

Noor

Afkar

Glaser

2021

BESTUUR

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“…Drought monitoring was performed employing the monthly precipitation sums to calculate the standardized precipitation index (SPI) for January 2018 to March 2021. Positive SPI values indicate wet conditions, and negative values denote drought periods with less precipitation than normal [34]. The precipitation data gathered for the local weather stations were utilized to classify wet and dry conditions [35].…”

Section: Precipitation Data and The Spi Calculationmentioning

confidence: 99%

An Assessment of Drought Stress in Tea Estates Using Optical and Thermal Remote Sensing

2021

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Drought is one of the detrimental climatic factors that affects the productivity and quality of tea by limiting the growth and development of the plants. The aim of this research was to determine drought stress in tea estates using a remote sensing technique with the standardized precipitation index (SPI). Landsat 8 OLI/TIRS images were processed to measure the land surface temperature (LST) and soil moisture index (SMI). Maps for the normalized difference moisture index (NDMI), normalized difference vegetation index (NDVI), and leaf area index (LAI), as well as yield maps, were developed from Sentinel-2 satellite images. The drought frequency was calculated from the classification of droughts utilizing the SPI. The results of this study show that the drought frequency for the Sylhet station was 38.46% for near-normal, 35.90% for normal, and 25.64% for moderately dry months. In contrast, the Sreemangal station demonstrated frequencies of 28.21%, 41.02%, and 30.77% for near-normal, normal, and moderately dry months, respectively. The correlation coefficients between the SMI and NDMI were 0.84, 0.77, and 0.79 for the drought periods of 2018–2019, 2019–2020 and 2020–2021, respectively, indicating a strong relationship between soil and plant canopy moisture. The results of yield prediction with respect to drought stress in tea estates demonstrate that 61%, 60%, and 60% of estates in the study area had lower yields than the actual yield during the drought period, which accounted for 7.72%, 11.92%, and 12.52% yield losses in 2018, 2019, and 2020, respectively. This research suggests that satellite remote sensing with the SPI could be a valuable tool for land use planners, policy makers, and scientists to measure drought stress in tea estates.

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“…Twint developed using the python programming language and can be installed using pip or conda. Python language contains a number of useful packages that are suitable for geospatial analysis [2][3], suggested some implications deep learning using python [4], especially classification of micro-level countries [5], data analyses using jupyter notebook [6].…”

Section: Introducingmentioning

confidence: 99%

Web Scraping of Disease Information From Social Media Twitter

Habibie

Widiaputra

Yulianingsani

2022

JTI

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Environmental degradation caused by land conversion, trash (both domestic and industrial), and natural catastrophes is all variables that contribute to the establishment of disease susceptibility. Experts throughout the world suggest “ONE HEALTH” as a strategy for dealing with the threat of zoonoses. The One Health concept is a worldwide strategy to expand interdisciplinary collaboration and communication in all aspects of health care for humans, animals, and the environment. To overcome this disease of zoonoses, we developed a system of information zoonoses and Emerging Infectious Disease (SIZE). In this system of SIZE, we gather the disease information from social media. The disease information was collected from Twitter are Demam Berdarah Dengue (DBD), malaria disease, Antraks Disease, Canine Madness (Anjing Gila), Bird Flu (flu burung), and Ebola Disease. Twitter is a social media platform that has become a constant resource developing for data collectors. To perform this task to get the data of disease information, related tweets and Twitter user details the data collection using web scraping. Data Collection from Twitter was carried out by applying web scraping technology using python language. The scraping experiment from twitter in this study has succeeded in retrieving disease information from 2015-2020 using an advanced tool for Twitter scrapping called Twint using the python script. As the results lately have been increased number of tweets of diseases from canine madness (anjing gila) 34477, followed by Malaria Disease (28046) and Demam Berdarah Dengue (DBD) 11950 in 2020.

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Development of micro-level classifiers from land suitability analysis for drought-prone areas in Indonesia

Cited by 25 publications

References 47 publications

Application of Sanctions Against State Administrative Officials in Failure to Implement Administrative Court Decisions

Application of Sanctions Against State Administrative Officials in Failure to Implement Administrative Court Decisions

An Assessment of Drought Stress in Tea Estates Using Optical and Thermal Remote Sensing

Web Scraping of Disease Information From Social Media Twitter

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