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All Journal Media Komunikasi Geografi J SIG (Jurnal Sains Informasi Geografi) Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital
Pradono, Kuncoro Adi
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Environmental Science Social Sciences

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Penilaian Jakarta sebagai Healthy City berbasis Spasial dengan Spatial Multi-Criteria Analysis (SMCA) Pradana, Mohammad Raditia; Pradono, Kuncoro Adi; Prasetya, Ferdian Adhy; Wibowo, Adi
Media Komunikasi Geografi Vol. 25 No. 2 (2024)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/mkg.v25i2.78081

Abstract

Penelitian ini bertujuan untuk mengevaluasi kesehatan kota Jakarta dalam konteks Kota Sehat menggunakan Spatial Multi-Criteria Analysis (SMCA). Data spasial dari berbagai sumber, termasuk infrastruktur lingkungan dan layanan kesehatan, digunakan untuk mengidentifikasi faktor-faktor kunci yang mempengaruhi kesehatan masyarakat di area perkotaan. Metode SMCA memungkinkan penilaian komprehensif terhadap kesehatan kota dengan mengintegrasikan berbagai indikator kesehatan dan lingkungan. Hasil penelitian menunjukkan bahwa Jakarta memiliki potensi sebagai kota yang mempromosikan kesehatan, meskipun terdapat variasi nilai asesmen di berbagai wilayah. Analisis spasial mengungkapkan kompleksitas hubungan antara faktor kesehatan dan infrastruktur kota, menyoroti pentingnya integrasi perencanaan fisik dengan kesejahteraan sosial. Penelitian ini juga menghadapi keterbatasan dalam ketersediaan data detail dan kompleksitas analisis spasial. Kesimpulannya, penelitian ini memberikan pemahaman mendalam tentang tantangan dalam mencapai kesehatan kota yang berkelanjutan dan menekankan perlunya pendekatan interdisipliner dalam pembuatan kebijakan untuk mendukung kesehatan masyarakat dan lingkungan perkotaan.
PERANCANGAN SISTEM MONITORING CLOUD COVER UNTUK PEMANTAUAN DAN PREDIKSI CLOUD COVER MENGGUNAKAN METODE DATABASE MANAGEMENT SYSTEM DAN LONG SHORT-TERM MEMORY Hestrio, Yohanes Fridolin; Pradono, Kuncoro Adi; Widipaminto, Ayom
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 18 No. 1 (2021)
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/inderaja.v18i1.3366

Abstract

The quality of optical satellite image data obtained by the Center for Remote Sensing Data and Technology is affected by weather conditions and cloud cover. Based on these conditions, the satellite image data obtained are divided into three categories including very cloudy, cloudy, and cloud-free. Based on annual data information, it is found that the amount of cloudy satellite image data is three times greater than the amount of cloud-free satellite imagery data. So we need a system that can monitor the percentage of the extent of cloud cover from the acquisition of satellite image data. In addition, it is hoped that the creation of a system that can predict cloud cover, where the results of this cloud cover prediction can be used as a reference at the time of the next satellite image acquisition. . Through research and development of this cloud cover monitoring system, both the user and the acquisition officer can monitor the cloud cover of the acquisition result and also determine the location of cloud-free image data acquisition with predictive data. The method used for the development of the monitoring system uses a DBMS (Database Management System), while predictive research on cloud cover in an area wear the LSTM (Long short-term memory) method for Time Series Forecasting. The results of this research and development are in the form of a monitoring system that can monitor the results of acquisitions with data management principles and predict cloud cover conditions from cloud cover monitoring data.
KESESUAIAN KAWASAN PERDAGANGAN KOTA SERANG MENGGUNAKAN METODE SPATIAL MULTICRITERIA EVALUATION Pradono, Kuncoro Adi; Wibowo, Adi; Veronica, Kiki Winda
J SIG (Jurnal Sains Informasi Geografi) Vol 7, No 2 (2024): Edisi November
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/jsig.v7i2.3006

Abstract

An open source geographic information system (GIS) can assist stakeholders in assessing the suitability of trade areas to support economic growth and sustainable development. Serang City as the capital of Banten Province from the expansion of West Java Province is a developing area, one of which is a new trade center. The spatial multicriteria evaluation (SMCE) method, one of the features of ILWIS, is used to evaluate the suitability of trade areas in Serang City. The factors considered in evaluating the suitability of trade areas are zonation, accessibility, and visibility. Through the results of SMCE analysis, as much as 16% or about 4000 hectares are suitable for trade areas, most of which are scattered in the city center, while 80% are not suitable if they are intended for trade areas.  Serang and Taktakan sub-districts are the most suitable areas, while Kasemen sub-district is generally unsuitable. This is still in line with the RTRW 2008-2030. The open source-based software in this study effectively performs SMCE analysis. This study is expected to provide a reference for the relevant government, stakeholders and investors to develop a sustainable trade area in Serang City.
Co-Authors Adi Wibowo Ayom Widipaminto, Ayom Hestrio, Yohanes Fridolin Pradana, Mohammad Raditia Prasetya, Ferdian Adhy Veronica, Kiki Winda