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All Journal Indonesian Journal of Geography Ecotrophic, Journal of Environmental Science Jurnal Pembangunan Wilayah dan Kota Geoplanning : Journal of Geomatics and Planning Majalah Geografi Indonesia AGRIVITA, Journal of Agricultural Science Forum Geografi Jurnal Wilayah dan Lingkungan IJEMS (Indonesian Journal of Environmental Management and Sustainability) Jurnal Serambi Engineering Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital International Journal of Remote Sensing and Earth Sciences (IJReSES) Social, Humanities, and Educational Studies (SHEs): Conference Series Geodika: Jurnal Kajian Ilmu dan Pendidikan Geografi Journal of Applied Engineering and Technological Science (JAETS) International Journal of Disaster Management Journal of Fisheries & Marine The International Journal of Remote Sensing and Earth Sciences (IJReSES)
Masita Dwi Mandini Manessa
Department Of Geography, Faculty Of Mathematics And Natural Sciences, Universitas Indonesia
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Public Health Social Sciences

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THE SPATIO-TEMPORAL DYNAMIC IN WATER NEAR PALABUHAN RATU COAL FIRE PLANT, SUKABUMI, WEST JAVA Niken Anissa Putri; Masita Dwi Mandini Manessa; Hafid Setiadi
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 20, No 1 (2023)
Publisher : Ikatan Geografi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2023.v20.a3812

Abstract

Indonesia Power PLTU Jabar 2 Palabuhanratu's activities have an impact on the quality of the surrounding river water and ocean. Monitoring the quality of the water thereafter became an important factor. Using remote sensing technologies, the spatial and temporal sea surface temperature and chlorophyll-a of water can be determined. This study aims to (1)  ; (2)  ; and (3)  . River water and ocean quality, including physical parameters (total dissolved solids, electrical conductivity, and temperature) and chemical parameters (pH and salinity). (1) River water and saltwater quality in the Cimandiri Downstream River and Batu Bintang Beach are suitable with regard to physical parameters (total dissolved solids, electrical conductivity, and temperature) and chemical parameters (pH and salinity). (2) According to Health Ministerial Regulation No. 32/2017 and Government Regulation No.22/2021, the river and seawater quality in the Cimandiri Downstream River and Batu Bintang Beach for clean water is adequate in terms of physical characteristics (total dissolved solids, electrical conductivity, and temperature) and chemical parameters (pH and salinity). (3) The average Salinity from August through November of 2021 was 20.76 ppt, 16.25 ppt, 15.76 ppt, and 18.51 ppt. The average Salinity between April and July of 2022 was -2.74 ppt, 3.51 ppt, 0.51 ppt, and 4.25 ppt.
VEGETATION INDICES FROM LANDSAT-8 DATA IN PALABUHANRATU Hermawan Setiawan; Masita Dwi Mandini Manessa; Hafid Setiadi
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 20, No 1 (2023)
Publisher : Ikatan Geografi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2023.v20.a3829

Abstract

Land cover will change due to population pressure, resource use, and human interest in space. Measuring the land area is important to determine how much-converted land is positive and negative. The vegetation on land was determined by how densely the plants were spread out. This study is conducted in Palabuhanratu, Sukabumi Regency. Aims to test and compare how accurate EVI and SAVI are at seeing vegetation density. The images used are from Landsat 8 in 2018 and 2022. Calibration is performed using high-resolution images, followed by field surveys with 98 points from polygon sampling. The average accuracy of the results from EVI is 49%, while the average accuracy of the results from SAVI is 45%. So, we can say that the EVI or SAVI based-input gives a similar result on observing the vegetation density in Palabuhanratu.
Suitability of Mangrove Tourism Areas in Cilamaya Wetan District, Karawang Regency Angga Kurniawansyah; Dewi Susiloningtyas; Masita Dwi Mandini Manessa
Forum Geografi Vol 37, No 1 (2023): July 2023
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v37i1.19852

Abstract

The research described here was conducted at the Tangkolak Marine Center (TMC) tourist attraction in Cilamaya Wetan District, Karawang Regency, Indonesia in November and December 2019. This research aimed to analyze the suitability of the mangrove tourism area using PlanetScope sensor Dove-R satellite imagery. The research method consisted of literature review, observation, calculation of the NDVI (Normalized Difference Vegetation Index) formula using PlanetScope sensor Dove-R satellite imagery, and direct measurements of transects and sample plots. The variables used were thickness, density, mangrove types, biota objects, tides, area characteristics, and accessibility. The results showed that mangrove tourism in TMC could be classified into two categories: suitable (65%-80%) and conditionally-compliant. According to the classification, the area is characterized by a mangrove thickness of up to 175.0 meters, a mangrove density between 15-25 tree/100 m2, 3-5 types of mangrove species, and associated biota including mudskipper fish, shrimp, crab, and crane. Meanwhile, the other area classified as conditionally compliant is characterized by a thickness of up to 48.2 meters, a mangrove density of 5-10 tree/100 m2, 2 species of mangrove, and associated biota in the form of mudskipper fish, shrimp, and crab. The research highlights the successful application of remote sensing data, specifically PlanetScope satellite imagery, for studying mangrove tourism areas, indicating its potential as a valuable alternative data source for such investigations.
Age Estimation of Paddy using Sentinel-2 Imagery: A Case Study in Java Island, Indonesia Masita Dwi Mandini Manessa; Supriatna Supriatna; Iqbal Putut Ash Sidik
AGRIVITA Journal of Agricultural Science Vol 45, No 3 (2023)
Publisher : Faculty of Agriculture University of Brawijaya in collaboration with PERAGI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17503/agrivita.v41i0.3106

Abstract

Plant age plays a crucial role in determining rice yield. The study on the prediction model of spatially specific rice plant age was still less reported, especially that based on high spatial resolution multispectral data. This study investigates the use of Geographic Weighted Regression (GWR) and extracted vegetation indexes (VI) from the Sentinel-2 multispectral image to build the prediction model based on the time-series dataset from the paddy field observation station. The GWR result was also compared to the Linear Regression (LR) model to demonstrate the impact of including spatial attribute into the prediction model. Since the majority of paddy field observation stations are situated on Java Island, it served as the research location for this investigation. The results indicate that VI from the Sentinel-2 image shows a significant correlation with the age of the paddy, then the VI was able to use as a predictor to build the paddy age prediction model. In the statistical evaluation of the model, the coefficient of determination values (R2) reached 0.65, and the RMSE of estimate value was 15 days.
Pemodelan Dampak Perubahan Iklim dan WIUP terhadap Potensi Habitat Burung Walik Benjol di Pulau Obi Kartika Pratiwi; Supriatna Supriatna; Masita Dwi Mandini Manessa; Aris Poniman K; Mangapul P. Tambunan
Jurnal Serambi Engineering Vol 8, No 1 (2023): Januari 2023
Publisher : Fakultas Teknik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jse.v8i1.5571

Abstract

AbstractOne of the impacts of climate change is the degradation quality of natural habitats of flora and fauna in Indonesia, risking the loss of most of the existing biodiversity. Obi Island as a natural habitat for several endemic species cannot be avoided from the threat of climate change impacts. The existence of mining concessions also can have a direct impact on their habitat potential. The purpose of this study was to analyze the distribution pattern of endemic species under current climatic conditions, synthesize models of the impact of climate change and analyze mining concessions on the distribution of potential habitats of Carunculated Fruit-dove on Obi Island. The occurrence data of Carunculated Fruit-dove and 19 bioclimatic variables are used as input in the process of making a habitat model with MaxEnt. As a result, the habitat potential model of Carunculated Fruit-dove with AUC = 0.955 has a very suitable habitat potential with an area of 66.02 km2 or 2.68%. The climate change in 2041-2060 with 4 different climate scenarios has an impact on the Carunculated Fruit-dove habitat potential model. Mining Business Permit Areas on Obi Island that have been issued until March 2022 amount to 19 locations with a total area of 373.14 km2 which will have a direct or indirect impact on the potential habitat of Carunculated Fruit-dove on Obi Island. 14.17 km2 of 66.67 km2 of potential habitat that is very suitable for Carunculated Fruit-dove will be directly affected by the existence of these mining areas.Keywords: endemic species, mining business permit area, climate change, obi island, maximum entropy
Study of Sea Surface Temperature (SST), Does It Affect Coral Reefs? Eghbert Elvan Ampou; Masita Dwi Mandini Manessa; Faisal Hamzah; Nuryani Widagti
Jurnal Ilmiah Perikanan dan Kelautan Vol. 12 No. 2 (2020): JURNAL ILMIAH PERIKANAN DAN KELAUTAN
Publisher : Faculty of Fisheries and Marine Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jipk.v12i2.20316

Abstract

HighlightEffect of sea surface temperature on coral reefsCorrelation with NOAA and AQUA MODIS satellite imagery dataSea water quality analysisThe adaptability of coral reefsAbstractThis research aims to identify the influence of Sea Surface Temperature (SST) to coral disease and bleaching using MODIS-Aqua data from 2003-2009 and NOAA Coral Reef Watch data. Field-data collection on coral disease and bleaching was carried out in Bunaken National Park, Wakatobi National Park, and Raja Ampat, in August, October, and November 2009, respectively. The presence of coral disease and bleaching was observed by using time-swim method. A prevalence formula was used to calculate the percentage of coral disease and bleaching colonies. The range of mean SST value from each location: Bunaken from 26.84-31.45oC, Wakatobi from 26.09-31.95oC and Raja Ampat from 27.72-31.36oC. There is an influence of SST anomaly on the presence of dis- ease and coral bleaching. During 2003-2019, the highest SST anomaly that could increase the risk of the coral bleaching phenomenon was found in 2010. Coral disease and bleaching were found at locations with high SST anomaly, low nitrate and available phosphate. However, high SST anomalies were not a main cause of coral disease and bleaching. In many locations in Indonesia, mass-bleaching has occurred and the ability of coral adaptation is the main key in dealing with this phenomenon.
SPATIAL TEMPORAL ANALYSIS OF LAND USE CHANGES IN AREAS VULNERABLE TO EARTHQUAKES AND LANDSLIDES, (Case Study: Cianjur Regency) Marwah Noer; Ayu Mardalena; Yulia Indri Astuty; Rahmadi; Masita Dwi Mandini Manessa
International Journal of Remote Sensing and Earth Sciences Vol. 21 No. 1 (2024)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2024.v21.a3896

Abstract

Cianjur Regency is a regency that is vulnerable to earthquakes and landslides. This is because the Cianjur Regency is crossed by the Cimandiri Fault which is actively moving. Meanwhile, the population growth rate in Cianjur district has increased based on data from Badan Pusat Statistik (BPS) for 2020-2021. Population growth causes many problems, especially the problem of space. Built-up land will be higher as the population increases. This study uses the temporal spatial analysis method of land use with variables of land use in 2013 and 2022, Earthquake Vulnerability Index, and Landslide Vulnerability Index. This variable was obtained based on the processing of Landsat 8 Satellite Imagery data in 2013 and 2022 and disaster vulnerability raster data from Badan Nasional Penanggulangan Bencana (BNPB). The results of this study are a temporal spatial analysis of changes in land use from 2013 - 2022 for earthquake-vulnerable areas and landslide-vulnerable areas. Changes in the use of built-up land to the Landslide Vulnerability Index experienced an increase in area in all categories. In contrast, the Earthquake Vulnerability Index only experienced an increase in the medium and high categories.
THE SPATIO-TEMPORAL DYNAMIC IN WATER NEAR PALABUHAN RATU COAL FIRE PLANT, SUKABUMI, WEST JAVA Niken Anissa Putri; Masita Dwi Mandini Manessa; Hafid Setiadi
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.a3812

Abstract

Indonesia Power PLTU Jabar 2 Palabuhanratu's activities have an impact on the quality of the surrounding river water and ocean. Monitoring the quality of the water thereafter became an important factor. Using remote sensing technologies, the spatial and temporal sea surface temperature and chlorophyll-a of water can be determined. This study aims to (1) ; (2) ; and (3) . River water and ocean quality, including physical parameters (total dissolved solids, electrical conductivity, and temperature) and chemical parameters (pH and salinity). (1) River water and saltwater quality in the Cimandiri Downstream River and Batu Bintang Beach are suitable with regard to physical parameters (total dissolved solids, electrical conductivity, and temperature) and chemical parameters (pH and salinity). (2) According to Health Ministerial Regulation No. 32/2017 and Government Regulation No.22/2021, the river and seawater quality in the Cimandiri Downstream River and Batu Bintang Beach for clean water is adequate in terms of physical characteristics (total dissolved solids, electrical conductivity, and temperature) and chemical parameters (pH and salinity). (3) The average Salinity from August through November of 2021 was 20.76 ppt, 16.25 ppt, 15.76 ppt, and 18.51 ppt. The average Salinity between April and July of 2022 was -2.74 ppt, 3.51 ppt, 0.51 ppt, and 4.25 ppt.
SPATIAL MACHINE LEARNING FOR MONITORING TEA LEAVES AND CROP YIELD ESTIMATION USING SENTINEL-2 IMAGERY, (A Case of Gunung Mas Plantation, Bogor) Dini Nuraeni; Masita Dwi Mandini Manessa
International Journal of Remote Sensing and Earth Sciences Vol. 19 No. 2 (2022)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2022.v19.a3830

Abstract

Indonesia's tea production and export volume have fluctuated with a downward trend in the last five years, partly due to the increasingly competitive world tea quality. Crop yield estimation is part of the management of tea plucking, affecting tea quality and quantity. The constraint in estimating crop yields requires technology that can make the process more effective and efficient. Remote sensing technology and machine learning have been widely used in precision agriculture. Recently, big data processing, especially remote sensing data, machine learning, and deep learning have been carried out using a cloud computing platform. Therefore, we propose using GeoAI, a combination of Sentinel-2A imagery, machine learning, and Google Collaboratory, to predict ready for plucking tea leaves at optimal plucking time at Gunung Mas Plantation Bogor. We used selected bands of Sentinel-2A and extracted more features (i.e., NDVI) as a training set. Then we utilized the tea blocks boundary and tea plucking data to generate labels using Random Forest (RF) and Support Vector Machine (SVM). The classification results were further used to estimate the production of crop tea yield. The RF classifier is able to achieve overall accuracy at 51% and SVM at 54%. Meanwhile, accuracy at optimally aged tea blocks is able to achieve at 75.62% for RF and 52.88% for SVM. Thus, the SVM classifier is better in terms of overall accuracy. Meanwhile, the RF classifier is superior in predicting ready for plucking tea at optimally aged tea blocks.
TEA PLANT HEALTH RESEARCH USING SPECTROMETER Dwi Hastuti; Masita Dwi Mandini Manessa; Mangapul Parlindungan
International Journal of Remote Sensing and Earth Sciences Vol. 19 No. 2 (2022)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2022.v19.a3831

Abstract

Tea leaves are the most important part for consumption. Leaves that are healthy have a distinct color, while leaves that are not healthy have a color that is very different from the original. Chlorophyll in leaves effects the reflection of infrared light, allowing healthy plants to reflect more infrared light than unhealthy plants. Leaf color and chlorophyll have an important role in showing the growth and health of tea plants. Remote sensing consists of collecting information about objects and features without contacting the equipment. The Normalized Difference Vegetation Index (NDVI), one of the first remote sensing analysis products used to simplify the complexity of multispectral imaging, is now the most commonly used index for botanical assessment. inconsistencies in NDVI depending on sensor-specific spatial and spectral resolutions. Different parts of the leaf have discolored spots due to health conditions or nutritional stress, so there are different spectral values on different parts of the leaf. Unhealthy tea leaves have low NIR values due to disease, insects, and sunburn, which damage the chloroplast structure of the leaves, weaken the absorption of the appropriate band, and increase reflectance. There is a difference between the measurement results of the NDVI spectrometer and the sentinel image. This is due to the fact that the Sentinel-2 image can only retrieve image pixels with a resolution and not diseased leaf parts, as with the use of a spectrometer, which directly extracts the value of the infected area from the normal part of the plant
Co-Authors A. Harsono Supardjo Adisty Pratamasari Agustinus Harsono Supardjo Agustinus Harsono Supardjo Angga Kurniawansyah Angga Kurniawansyah Anisya Feby Efriana Annisa Fitria Aris Poniman Aris Poniman K Ariyo Kanno Atriyon Julzarika Aulia Puji Hartati Ayu Mardalena Devica Natalia BR Ginting Devica Natalia Br. Ginting Dewi Susiloningtyas Diah Kirana Kresnawati Dini Nuraeni Dini Nuraeni Dony Kushardono Dwi Hastuti DWI HASTUTI Eghbert Elvan Ampou Elok Lestari Paramita Faisal Hamzah Farida Ayu Fathia Hashilah Gathot Winarso Gigih Girrastowo Glendy Somae Haeropan Daniko Putra Heinrich Rakuasa Herianto Herianto Hermawan Setiawan Hermawan Setiawan Indira Indira Iqbal Putut Ash Sidik Kartika Kusuma Wardani Kartika Pratiwi Koichi Yamamoto Kuncoro Teguh Setiawan Kuncoro Teguh Setiawan Kustiyo Kustiyo Mangapul P. Tambunan Mangapul P. Tambunan Mangapul Parlindungan Marwah Noer Maryani Hastuti Masahiko Sekine Muhammad Haidar Muhammad Haidar Muhammad Haidar Muhammad Rafi Andhika Pratama Mukhoriyah Mukhoriyah Mutia Kamalia Mukhtar Nana Suwargana Nana Suwargana Nanin Anggraini Nanin Anggraini Nanin Anggraini Ni Ketut Feny Permatasari Niken Anissa Putri Niken Anissa Putri Nurina Rachmita Nurina Rachmita Nurwita Mustika Sari Nurwita Mustika Sari Nurwita Mustika Sari Nuryani Widagti Pramudhian Firdaus Rahmadi Rahmatia Susanti Rokhmatulloh Rokhmatulloh Rokhmatuloh Rokhmatuloh Rudy P. Tambunan Rudy Parluhutan Tambunan Rudy Parluhutan Tambunan S Supriatna S Supriatna S. Supriatna S. Supriatna Setiadi, Hafid Sri Fauza Pratiwi Sri Fauza Pratiwi Supriatna Supriatna Supriatna Supriatna Supriatna Supriatna Supriatna Supriatna Supriatna Supriatna Supriyadi, Asep Adang Surahman Surahman Surahman Syamsu Rosid Syamsu Rosid Syamsu Rosid Syifa Wismayati Adawiah Takaya Higuchi Tambunan, Mangapul Parlindungan Tia Pramudiyasari Tsuyoshi Imai Wikanti Astriningrum Yoniar Hufan Ramadhani Yulia Indri Astuty