Articles
<![CDATA[PERANCANGAN PERPUSTAKAAN GEMAR MEMBACA BERBASIS WEBSITE UNTUK DESA MEKARJAYA ]]>
<![CDATA[Alexander, Onki]]>;
<![CDATA[Isnaini, Eva Nur]]>;
<![CDATA[Maranti, Pinta]]>;
<![CDATA[Bawiling, Hendry]]>;
<![CDATA[Pryanto, Muhammad Bagus]]>;
<![CDATA[Dimyati, Muhammad]]>
<![CDATA[ Jurnal IMPACT: Implementation and Action Vol. 3 No. 2 (2021): Jurnal Impact ]]>
Publisher : <![CDATA[Politeknik Negeri Banjarmasin ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.31961/impact.v3i2.1119
<![CDATA[In the current era of globalization, the world of information is developing so rapidly because it is supported by increasingly sophisticated technological developments. A library is an important tool that can help teaching and learning activities. At this time, Mekarjaya Village does not have a library to support teaching and learning activities. This study aims to increase the reading interest of the Mekarjaya Village community and to design a website-based library to support teaching and learning activities in the village. In making this digital library, PHP is used as an application program and MySQL as a database server which has been summarized in one XAMPP application. The design of this library information system uses the waterfall method which consists of requirements analysis, design, implementation, testing, maintenance, and results analysis. With the existence of this website-based library information system, the community's interest in reading has increased, especially youths and girls in Mekarjaya Village.]]>
<![CDATA[Landslide assessment using interferometric synthetic aperture radar in Pacitan, East Java ]]>
<![CDATA[Dimas Bayu Ichsandya]]>;
<![CDATA[Muhammad Dimyati]]>;
<![CDATA[Iqbal Putut Ash Shidiq]]>;
<![CDATA[Faris Zulkarnain]]>;
<![CDATA[Nurul Sri Rahatiningtyas]]>;
<![CDATA[Riza Putera Syamsuddin]]>;
<![CDATA[Farhan Makarim Zein]]>
<![CDATA[ International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 3: June 2022 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.11591/ijece.v12i3.pp2614-2625
<![CDATA[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.]]>
<![CDATA[Paddy field classification with MODIS-terra multi-temporal image transformation using phenological approach in Java Island ]]>
<![CDATA[Muhammad Dimyati]]>;
<![CDATA[Kustiyo Kustiyo]]>;
<![CDATA[Ratih Dewanti Dimyati]]>
<![CDATA[ International Journal of Electrical and Computer Engineering (IJECE) Vol 9, No 2: April 2019 ]]>
Publisher : <![CDATA[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
<![CDATA[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.]]>
<![CDATA[Interpretability Evaluation of Annual Mosaic Image of MTB Model for Land Cover Changes Analysis ]]>
<![CDATA[Muhammad Dimyati]]>;
<![CDATA[Ratih Dewanti Dimyati]]>;
<![CDATA[Kustiyo Kustiyo]]>;
<![CDATA[Projo Danoedoro]]>;
<![CDATA[Hartono Hartono]]>
<![CDATA[ TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 3: June 2018 ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.12928/telkomnika.v16i3.9331
<![CDATA[To verify whether the annual mosaic image of MTB model is acceptable for further digital analysis, it is necessary to evaluate the visual interpretability. The MTB model is an effort to integrate multi-scene and multi-temporal data, to obtain a minimum cloud cover mosaic image in locations that are often covered by clouds and haze. This study is to evaluate the interpretability of the annual mosaic image for analysis of the land cover changes. The data used are the images of 2015, 2016, and 2017 covers a part of central Sumatra. Visual interpretations with a series of steps are used, starting with identification of the objects using interpretation keys, followed by spectral band correlations, scattergram analysis, and ended by consistency assessment. The consistency assessment step is performed to determine the level of clearness and easiness of the object recognition in the annual mosaic images. The results showed that the most optimal spectral bands used for RGB combinations for visual interpretation were Band SWIR-1, Band NIR, and Band Red. Based on the evaluation results, the annual mosaic image of MTB model performed the consistent results of the clearness objects and the easiness of the object recognition. Thus the annual mosaic image of MTB model of 0.02x0.02 degree tile is acceptable for further digital processing as well as digital land cover analysis.]]>
<![CDATA[Evaluation of Research Standards at Ministry of Research, Technology and Higher Education with I-MR Map Control Analysis ]]>
<![CDATA[Muhammad Dimyati]]>;
<![CDATA[Akhmad Fauzy]]>
<![CDATA[ TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 4: August 2018 ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.12928/telkomnika.v16i4.10491
<![CDATA[In order to accommodate research activities at all universities in Indonesia, the Directorate Genereal of Strengthening for Research and Development, Ministry of Research, Technology, and Higher Education (Kemenristekdikti) of the Republic of Indonesia established research quality standard. The standard includes the minimum targets that must be achieved by each University at the period of conducting the research activity. However, until now there has been no measurement to find out whether the existing standard was good enough or needs to be evaluated. Therefore, this study was conducted to measure the standards. The method used was the analysis of I-MR (Individual and Moving Range) control chart to see the performance of the standard. The results show that existing research schemes have encouraged the improvement of international publications, but have not yet maximized the production of other outputs such as textbooks, accredited national publications, intellectual property rights, and ptototypes. The result of the research was expected to be used as material for evaluation and improvement of policy to improve the quality of research standard in Kemenristekdikti.]]>
<![CDATA[Cloud removal on satellite imagery using blended model: case study using quick look of high-resolution image of Indonesia ]]>
<![CDATA[Muhammad Dimyati]]>;
<![CDATA[Adlyani Husna]]>;
<![CDATA[Puji Tri Handayani]]>;
<![CDATA[Devy Nur Annisa]]>
<![CDATA[ TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 20, No 2: April 2022 ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.12928/telkomnika.v20i2.21085
<![CDATA[The problem with the acquisition of satellite imagery in the tropics, especially in the area around the equator is that it is almost covered by clouds throughout the year. Users need cloud cover information and the possibility of obtaining cloudless satellite images before they get the data. An overview of the availability of cloud coverage distribution, especially those presented in a spatial format, was very beneficial and increased efficiency for users to select image data in the area of interest (AoI). This study aimed to develop a cloud removal, so-called blended cloud removal (BCR) model, which was applied in a part of West Java Province. The data used for this study were 33 images of quick looks at high-resolution satellite images of the 2013-2015 period that could be obtained free of charge on the website. The results showed that the distribution of efficiency was that AoI-1 obtained 99.67% efficiency of cloud removal image, AoI-2 was 76.51%, and AoI-3 obtained 98.34%. These three AoI locations have an average efficiency of 91.50%. As a result, there was substantial evidence that fewer than 10% of cloud cover remains after cloud removal. This suggests that by using the BCR model, a considerable change in cloud cover for the AoI location might be obtained, meeting the Geospatial Information Agency’s standards.]]>
<![CDATA[Remote sensing technology for disaster mitigation and regional infrastructure planning in urban area: a review ]]>
<![CDATA[Muhammad Dimyati]]>;
<![CDATA[Akhmad Fauzy]]>;
<![CDATA[Anggara Setyabawana Putra]]>
<![CDATA[ TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 2: April 2019 ]]>
Publisher : <![CDATA[Universitas Ahmad Dahlan ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.12928/telkomnika.v17i2.12242
<![CDATA[A Very high intensity of regional development is ubiquitous in urban areas. Therefore, urban development requires a proper spatial development strategy in many facets, especially social aspect and disaster potential. The essence of social aspect lies in the prevailing norms and local wisdom that have long existed and become the basis of community life. Inducing various effects on infrastructure development, disaster potential has to be considered as well. Disaster mitigation measures can start with the use of continually developing remote sensing technology, which provides a basis for preparing sustainable development planning. The realization of these measures in urban areas demands specific adjustment to the environmental conditions. This study aimed to examine the capacity of remote sensing data to support disaster mitigation and infrastructure planning based on energy conservation in urban areas. The results indicate that remote sensing technology can be an option for sustainable development planning in urban areas.]]>
<![CDATA[Digital Interpretability of Annual Tile-based Mosaic of Landsat-8 OLI for Time-series Land Cover Analysis in the Central Part of Sumatra ]]>
<![CDATA[Ratih Dewanti Dimyati]]>;
<![CDATA[Projo Danoedoro]]>;
<![CDATA[Hartono Hartono]]>;
<![CDATA[Kustiyo Kustiyo]]>;
<![CDATA[Muhammad Dimyati]]>
<![CDATA[ Indonesian Journal of Geography Vol 50, No 2 (2018): Indonesian Journal of Geography ]]>
Publisher : <![CDATA[Faculty of Geography, Universitas Gadjah Mada ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (434.941 KB)
|
DOI: 10.22146/ijg.35046
<![CDATA[This paper presents an interoperability of annual tile-based mosaic (MTB) images, as well as a verification of the validity of the model for the time series land cover analysis purposes. The primary data used are MTB image of Landsat-8 of the central part of Sumatra, acquired from January 2015 to June 2017. The method used for the interoperability validation is the digital analysis of three-years time series land cover. The classification was performed with four band spectral groups. Training samples are taken from the image of 2016. The results are then reclassified to improve the overall accuracy score based on Jefferies Matusita (JM) distance. The interoperability can be measured by the average of overall accuracy (AOA) score, namely Good (scores > 80%), Fair (70.0% -79.9%), and Bad (< 70%). The results show that the use of the groups Bands 6-5-4-3-2 performs the consistent accuracy level of Good with an AOA score of 86% for six classes object. Whereas the use of the groups Bands 6-5-4-3-2, Bands 6-5-4, and Bands 6-5 shows the consistent accuracy level of Good up to four classes object with an AOA score of 89%, 82%, and 81%, respectively. It means that the annual mosaic image of MTB model is accepted for the image interoperability with an AOA score of > 80% for six and four classes object. Thus the most efficient for interoperability is the use of Bands 6-5 to analyze four class object of land cover. ]]>
<![CDATA[Object-Based Mangrove Mapping Comparison on Visible and NIR UAV Sensor ]]>
<![CDATA[Nurul Khakhim]]>;
<![CDATA[Muh Aris Marfai]]>;
<![CDATA[Ratih Fitria Putri]]>;
<![CDATA[Muhammad Dimyati]]>;
<![CDATA[Muhammad Adnan Shafry Untoro]]>;
<![CDATA[Raden Ramadhani Yudha Adiwijaya]]>;
<![CDATA[Taufik Walinono]]>;
<![CDATA[Wahyu Lazuardi]]>;
<![CDATA[Dimas Novandias Damar Pratama]]>;
<![CDATA[Arief Wicaksono]]>;
<![CDATA[Azis Musthofa]]>;
<![CDATA[Zulfikri Isnaen]]>
<![CDATA[ Indonesian Journal of Geography Vol 53, No 2 (2021): Indonesian Journal of Geography ]]>
Publisher : <![CDATA[Faculty of Geography, Universitas Gadjah Mada ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.22146/ijg.50861
<![CDATA[Mangrove ecosystems are natural resources that have potential value for development due to their high productivity. Mapping and identification of mangroves have always played a crucial role in mangrove ecosystem conservation efforts, especially to support the sustainable development goal of coastal resources and climate change issues. Several attempts have been made using Unmanned Aerial Vehicle (UAV) techniques acquisition of high spatial resolution aerial images data with various sensors and object-based classification for image processing with various levels of success. This study aims to identify mangrove objects using UAV with true color and NIR false-color sensors using the OBIA approach. The UAV used in this study was DJI Phantom 3 Pro with a true-color sensor (default) and NIR false-color (modified Canon IXUS 160 cameras). The comparison between the two types of sensor of aerial photographs as a source for mangrove mapping proved that the latter performed better than the former because of the near-infrared band can optimally discriminate between mangrove and non-mangrove objects. This will assist future research directions in the mangrove ecosystems mapping method.]]>
<![CDATA[Impact of Climate Change on Sea Surface Temperature and Chlorophyll-a Concentration in South Sukabumi Waters ]]>
<![CDATA[Mamat Suhermat]]>;
<![CDATA[Muhammad Dimyati]]>;
<![CDATA[S. Supriatna]]>;
<![CDATA[M. Martono]]>
<![CDATA[ Jurnal Ilmu Lingkungan Vol 19, No 2 (2021): Agustus 2021 ]]>
Publisher : <![CDATA[School of Postgraduate Studies, Diponegoro Univer ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.14710/jil.19.2.393-398
<![CDATA[Indonesia territorial waters are very vulnerable to the impacts of climate change. Research about the variations of sea surface temperature and chlorophyll-a concentration in the southern waters of Java has been undertaken by several researchers. However, the research is still in the scope of regional scale south of Java. This research was conducted to determine the impact of climate change on sea surface temperature and chlorophyll-a concentration in Sukabumi waters. The data used consisted of IOD index anomalies, sea surface temperature and monthly chlorophyll-a concentrations from December 2002 to November 2020. Descriptive analysis was used to determine seasonal and inter-annual variability and linear regression method was used to analyze trends in changes in sea surface temperature (SST) and chlorophyll-a concentration. The results showed that the seasonal variation was influenced by the monsoon, while the interannual variation was influenced by the Indian Ocean Dipole. Climate change causes SST and chlorophyll-a concentrations to increase. In the 2003-2020 time period, SPL increased by 0.08 °C and an increase in chlorophyll-a concentration by 0.03 mg/ m3. ABSTRAKPerairan selatan Sukabumi yang berhadapan langsung dengan samudera Hindia sangat rentan terhadap dampak perubahan iklim. Penelitian mengenai variasi suhu permukaan laut dan konsentrasi klorofil-a di perairan selatan Jawa sudah dilakukan oleh beberapa peneliti sebelumnya. Namun penelitian tersebut masih dalam lingkup skala regional selatan Jawa. Penelitian ini dilakukan untuk mengetahui dampak perubahan iklim terhadap suhu permukaan laut dan konsentrasi klorofil-a di Perairan selatan Sukabumi. Data-data yang digunakan terdiri dari indeks IOD, suhu permukaan laut dan konsentrasi klorofil-a bulanan periode Desember 2002 hingga November 2020. Metode yang digunakan dalam penelitian ini adalah analisis deskripsi dan regresi linier. Hasil penelitian menunjukkan bahwa variasi musiman suhu permukaan laut dan konsentrasi klorofil-a di perairan ini dipengaruhi oleh monsun, sedangkan variasi antar tahunan dipengaruhi oleh Indian Ocean Dipole. Perubahan iklim menyebabkan suhu permukaan laut dan konsentrasi klorofil-a mengalami kenaikan. Dalam periode waktu 2003-2020 suhu permukaan laut mengalami kenaikan sebesar 0,08°C dan kenaikan konsentrasi klorofil-a sebesar 0,03 mg/m3.]]>
