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All Journal International Journal of Electrical and Computer Engineering Indonesian Journal of Geography Ecotrophic, Journal of Environmental Science Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Jurnal Ilmu Lingkungan TELKOMNIKA (Telecommunication Computing Electronics and Control) Majalah Geografi Indonesia JTSL (Jurnal Tanah dan Sumberdaya Lahan) Jurnal Geografi International Journal of Remote Sensing and Earth Sciences (IJReSES) Jurnal IMPACT: Implementation and Action Indonesian Journal of Earth Sciences Jurnal Geografi LIngkungan Tropik (Journal of Geography of Tropical Environments)
Muhammad Dimyati
Universitas Indonesia
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Earth & Planetary Sciences Education Electrical & Electronics Engineering Environmental Science Social Sciences Other

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Journal : International Journal of Electrical and Computer Engineering

 1 
Landslide assessment using interferometric synthetic aperture radar in Pacitan, East Java Dimas Bayu Ichsandya; Muhammad Dimyati; Iqbal Putut Ash Shidiq; Faris Zulkarnain; Nurul Sri Rahatiningtyas; Riza Putera Syamsuddin; Farhan Makarim Zein
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 3: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i3.pp2614-2625

Abstract

Landslides are a common type of disaster in Indonesia, especially in steep-slope areas. The landslide process can be well understood by measuring the surface deformation. Currently, there are no practical solutions for measuring surface deformation at landslide locations other than field surveys in the Pacitan Regency. We apply LiCSBAS, to identify surface deformation in several landslide locations in a specific non-urban area with mixed topographical features. LiCSBAS is a module that utilizes data from the project of looking inside the continent from space (LiCS), using the new small baseline area subset (NSBAS) method. This study utilizes the leaf area index (LAI) to validate the ability of LiCSBAS to detect surface deformation values at landslide locations. The study succeeded in identifying surface deformations at 100 landslide locations, with deformation values ranging from 15.1 to 10.9 millimeters per year. Most of the landslide locations are closely related to volcanic rocks and volcanic sediments on slopes of 30–35°. The NSBAS method in the LiCSBAS module can reduce gaps error in the sentinel-1 image network. However, the utilization of the C-band at a pixel size of 100 meters made surface deformation only well detectable in a large open landslide area.
Paddy field classification with MODIS-terra multi-temporal image transformation using phenological approach in Java Island Muhammad Dimyati; Kustiyo Kustiyo; Ratih Dewanti Dimyati
International Journal of Electrical and Computer Engineering (IJECE) Vol 9, No 2: April 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1026.389 KB) | DOI: 10.11591/ijece.v9i2.pp1346-1358

Abstract

This paper presents the paddy field classification model using the approach based on periodic plant life cycle events and how these elevations in climate as well as habitat factors, such as elevation. The data used are MODIS-Terra two tiles of H28v09 and H29v09 of 2016, consist of 46 series of 8-daily data, with 500 meter resolution in Java region. The paddy field classification method based on the phenological model is done by Maximum Likelihood on the transformed annual multi-temporal image of the reflectance data, index data, and the combination of reflectance and index data. The results of the study showed that, with the reference of the Paddy Field Map from the Ministry of Agriculture (MoA), the overall accuracies of the paddy field classification results using the combination of reflectance and index data provide the highest (85.4%) among the reflectance data (83.5%) and index data (81.7%). The accuracy levels were varied; these depend on the slope and the types of paddy fields. Paddy fields on the slopes of 0-2% could be well identified by MODIS-Terra data, whereas it was difficult to identify the paddy fields on the slope >2%. Rain-fed lowland paddy field type has a lower user accuracy than irrigated paddy fields. This study also performed correlation (r2) between the analysis results and the statistical data based on district and provincial boundaries were >0.85 and >0.99 respectively. These correlations were much higher than the previous study results, which reached 0.49-0.65 (hilly-flat areas of county-level), and 0.80-0.88 (hilly-flat areas of provincial level) for China, and reached 0.44 for Indonesia.
Remote sensing and geographic information systems technics for spatial-based development planning and policy I Wayan Gede Krisna Arimjaya; Muhammad Dimyati
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 5: October 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i5.pp5073-5083

Abstract

Indonesia's land-use and land-cover change (LULCC) is a global concern. The relocation plan of the capital city of Indonesia to East Kalimantan will be becoming an environmental issue. Knowing the latest land cover change modeling and prediction research is essential for fundamental knowledge in spatial planning and policies for regional development. Five articles related to integrated technology of geographic information systems (GIS) and remote sensing for spatial modeling were reviewed and compared using nine variables: title, journal (ranks), keywords, objectives, data sources, variables, location, method, and main findings. The results show that the variables that significantly affect LULCC are height, slope, distance from the road, and distance from the built-up area. The artificial neural network-based cellular automata (ANN-CA) method could be the best approach to model the LULCC. Furthermore, by the current availability of global multi-temporal and multi-sensor remote sensing data, the LULCC modeling study can be limitless
Supply and demand of ecosystem service provision in relation to dynamics land-cover changes: a remote sensing and geospatial analysis in Sukabumi Regency Fitriani, Ananda; Dimyati, Muhammad; Zulkarnain, Faris
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 5: October 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i5.pp5728-5737

Abstract

The rate of population growth in Sukabumi Regency continues to grow, along with the increasing need for food. This population growth, combined with the constant changes in land cover can reduce the productivity of environment in providing natural capital for food availability. Therefore, this study aimed to examine the condition of ecosystem service provision for a decade in Sukabumi Regency due to changes in land cover. In general, the efficient use of remote sensing method and geographic information systems to monitor ecosystem services had received widespread recognition. Following this scenario, the current study used geospatial analysis with dasymetric method which was integrated with supply and demand formulas for ecosystem services provision, food availability, and remote sensing. Geographic information system was also used for land cover interpretation data. The results showed that three districts in Sukabumi Regency, namely Cicurug, Cibadak, and Cicantayan, had “exceeded” condition when the environmental condition already passed the threshold or were unable to support population's needs. Meanwhile, the other districts have “not exceeded” condition, when the environmental conditions were still able to fulfill the needs of population. Finally, the changes in agricultural land cover had a significant influence on the condition of ecosystem services.
Co-Authors Adlyani Husna Ahmad Fakhruddin Ahmad Zubair Akhmad Fauzy Anang Muchlis Andry Rustanto Anggara Setyabawana Putra Arief Wicaksono Astrid Damayanti Astridia Putri Nurhaliza Azis Musthofa Babag Purbantoro Bawiling, Hendry Budianto Budianto Devy Nur Annisa Dewi Susiloningtyas Dimas Bayu Ichsandya Dimas Novandias Damar Pratama Dimyati, Ratih Dewanti Efriana, Anisya Feby Enshito, Grizzly Pradipta Singhasana Evi Anggraheni, Evi Farhan Makarim Zein Faris Zulkarnain Faris Zulkarnain Fitriani, Ananda Hartono Hartono Hartono Hartono Heinrich Rakuasa I Wayan Gede Krisna Arimjaya Iqbal Putut Ash Shidiq Iqbal Putut Ash-Shidiq Irma Susanti Isnaini, Eva Nur Khairunnisa, N Kintan Maulidina Kustiyo Kustiyo Kustiyo Kustiyo Legowo, Dewanti Aisyah Logan, Axel Gilbert M. Martono Mamat Suhermat Maranti, Pinta Mardalena, Ayu Marfai, Muh Aris Masita Dwi Mandini Manesa MASITA DWI MANDINI MANESSA, MASITA DWI MANDINI Muhamad Rafli Muhammad Adnan Shafry Untoro Muhammad Haidar Nurrokhmah Rizqihandari Nurul Khakhim Nurul Sri Rahatiningtyas Onki Alexander Panji Nurul Achmadi Pranita Giardini Prasetya, Ferdian Adhy Projo Danoedoro Pryanto, Muhammad Bagus Puji Tri Handayani Purbantoro, Babag Putri, Ratih Fitria Raden Ramadhani Yudha Adiwijaya Rahatiningtyas, Nurul Sri Raisya Afifah Ratih Dewanti Ratih Dewanti Dimyati Ratih Dewanti Dimyati Ratih Dewanti Dimyati Ratri Candra Restuti Riza Putera Syamsuddin Rustanto, Andry S. Supriatna Sakina, N C Satria Indratmoko Setiadi, Hafid Siddiq, Ayyasy Siswanto Siswanto Siti Aisyah Supriatna Supriatna Taufik Walinono Triarko Nurlambang Triarko Nurlambang Tuty Handayani Verdyansyah, Aprizal Wahyu Lazuardi Zubair, Ahmad Zulfikri Isnaen Zulkarnain, Faris