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COMPARATIVE STUDY MODELING OF GROUND WATER USING GEOGRAPHIC INFORMATION SYSTEM IN KAYUAMBON VILLAGE, BANDUNG BARAT REGENCY Widiawaty, Millary Agung; Dede, Mohammad; Ismail, Arif
Jurnal Pendidikan Geografi Gea Vol 18, No 1 (2018)
Publisher : Indonesia University of Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/gea.v18i1.10397

Nowadays, fresh water availability is a problem and require serious attention from all parties. Urbanization in Kayuambon Village causes highly growth population and require fresh water to support the needs, it resources come from groundwater. This research aims to determine the groundwater direction and accumulation based on groundwater modeling using IDW, Kriging, Spline, and Minimum Curvature interpolation techniques. Result shows that Kriging interpolation technique has the highest validity then others with ME = 0.316833, RMSE = 10.68147, and R2 = 0.88934. Groundwater modeling results also found that Kayuambon Village has two cone of depression are located in the central and northern of the village which known as concentration of groundwater flow. This study is expected to be a consideration for people and stakeholders to realize sustainable groundwater utilization.

DINAMIKA SUHU PERMUKAAN DAN KERAPATAN VEGETASI DI KOTA CIREBON Dede, Moh; Pramulatsih, Galuh Putri; Widiawaty, Millary Agung; Ramadhan, Yanuar Rizky Rizky; Ati, Amniar
Jurnal Meteorologi Klimatologi dan Geofisika Vol 6 No 1 (2019): Jurnal Meteorologi Klimatologi dan Geofisika
Publisher : Unit Penelitian dan Pengabdian Masyarakat Sekolah Tinggi Meteorologi Klimatologi dan Geofisika

Peningkatan suhu udara merupakan dampak dari pemanasan global serta berkurangnya vegetasi. Pada kawasan perkotaan, peningkatan suhu udara secara signifikan dapat memunculkan fenomena urban heat island yang dalam jangka panjang mampu mengubah iklim mikro. Estimasi suhu permukaan dan kerapatan vegetasi diperoleh dari data satelit penginderaan jauh secara multi-temporal. Penelitian ini bertujuan untuk menganalisis dinamika suhu permukaan dan kerapatan vegetasi di Kota Cirebon. Penelitian ini memanfaatkan data citra Landsat-5 TM dan Landsat-8 OLI yang divalidasi dengan data MODIS pada periode tahun 1998, 2008, serta 2018. Nilai suhu permukaan diekstraksi dengan radiative transfer equation, sedangkan informasi kerapatan vegetasi diperoleh dengan normalized difference vegetation index (NDVI). Interaksi antara suhu permukaan dan kerapatan vegetasi diketahui melalui analisis korelasi spasial. Sepanjang tahun 1998 hingga 2018 terjadi peningkatan suhu permukaan sebesar 1.18 oC yang disertai dengan menurunnya area bervegetasi rapat hingga 12.683 km2. Penelitian ini juga menunjukkan korelasi negatif yang signifikan antara suhu permukaan dan kerapatan vegetasi di Kota Cirebon. Suhu permukaan tertinggi terpusat pada CBD, pelabuhan, area rawan kemacetan, kawasan industri, dan terminal. Berdasarkan kajian ini, upaya menanggulangi suhu permukaan di Kota Cirebon perlu ditangani melalui penyediaan ruang terbuka hijau, green belt, maupun reforestrasi.

Physical and Social Factors of Shoreline Change in Gebang, Cirebon Regency 1915 – 2019 Millary Agung Widiawaty; Nandi Nandi; Hendro Murtianto
Journal of Applied Geospatial Information Vol 4 No 1 (2020): Journal of Applied Geospatial Information (JAGI)
Publisher : Politeknik Negeri Batam

Shoreline changes are the main concern for coastal management. In Indonesia coastal zone is the populated region for marine and fishery economic sectors. Dynamic of the region shown by shoreline change. This study aims to explain the dynamics of shoreline change in Gebang, Cirebon Regency from 1915 to 2019, and several factors that influence. This research using overlay intersections to know shoreline change from 1915-2019 and multiple linear regression to determine several factors that influence the shoreline change. The shoreline increased 992.99 meters caused by accretion. Physical factors that influence shoreline changes include total suspended solids, bathymetry, wind, and tides, whereas social factors include the presence of beach building, population density, building density, and distance from the built-up area. The most influential factor in increased shoreline is bathymetry. Based on the results of statistical tests known that physical and social factors are influence significantly the dynamics of shoreline changes. The correlation between the actual and the predicted value reached 0.97 with p-value 0.001.

Estimasi Perubahan Kualitas Udara Berbasis Citra Satelit Penginderaan Jauh Di Sekitar PLTU Cirebon Moh. Dede; Millary Agung Widiawaty; Nurhanifah Nurhanifah; Arif Ismail; Ajeng Randhita Prabatiwakya Artati; Amniar Ati; Yanuar Rizky Ramadhan
Jambura Geoscience Review Vol 2, No 2 (2020): Jambura Geoscience Review (JGEOSREV)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/jgeosrev.v2i2.5951

Steam power plant construction and operation is an effort to meet electricity needs. In Indonesia, two steam power plants were built and changed the landscape in Cirebon. The presence of Cirebon steam power plants has disturbed the community and potential to decrease air quality. This study aims to estimate air quality changes around the power plants based on remote sensing satellite imageries. The main data in this study obtained from Landsat-8 OLI (2019) and Landsat-7 ETM (2004) satellite imageries were processed with four parameters of air quality algorithm namely PM10, CO, SO2, and NOx on AOI with ranging of 2000 m from the source point. Validation uses comparative data from MODIS and Sentinel-2 MSS satellite imageries in the same period. Changes analysis in air quality used the Mann-Whitney method (U-Test). This research shows that the Landsat series satellite imagery is suitable to be used as the main data for estimating air quality because it has a similar pattern to comparable data. The Cirebon PLTU operation caused a significant increase in CO levels of 1.25 mg/l on a wide range. In other air quality parameters such as PM10, SO2 and NOx were decreased.

INTEGRASI AHP DAN SISTEM INFORMASI GEOGRAFIS UNTUK ANALISIS POTENSI KERAWANAN ILLEGAL FISHING DI INDONESIA (Integration AHP and Geographic Information System to Analyse Vulnerability of Illegal Fishing in Indonesia) Moh. Dede; Millary Agung Widiawaty; Iwan Setiawan; Nurul Huda
Jurnal Sains Informasi Geografi Vol 2, No 2 (2019): Edisi November
Publisher : Universitas Muhammadiyah Gorontalo

Indonesia merupakan negara kepulauan yang memiliki sumber daya perikanan melimpah dan kerap dijadikan sasaran illegal fishing jaringan lokal maupun internasional. Melalui integrasi AHP dan sistem informasi geografis, penelitian ini bertujuan untuk menganalisis potensi kerawanan illegal fishing secara spasial di Indonesia dengan melibatkan berbagai faktor penentunya seperti jangkauan patroli laut, kedaulatan laut, jarak dari negara asing, sebaran klorofil-A, dan potensi hasil laut yang divalidasi dengan data eksisting serta dilengkapi strategi penanganannya. Pemodelan illegal fishing memiliki akurasi sebesar 87,14 persen dengan potensi ancaman seluas 2.644.000 km2 (41,65 persen) meliputi Laut Natuna Utara, Selat Malaka, Selat Karimata, Laut Jawa, Selat Makassar, Laut Bali, Laut Maluku, Laut Halmahera, Teluk Tomini, Laut Sulawesi, serta sebagian kecil Laut Arafuru. Hasil AHP menunjukkan faktor yang bersifat tetap seperti potensi laut dan sebaran klorofil-A sebagai criminogenic terkuat illegal fishing di Indonesia. Upaya pencegahan illegal fishing dapat dilakukan dengan intervensi terhadap faktor yang bersifat dinamis, sehingga memperkuat jangkauan patroli laut, teknologi VMS, partipasi masyarakat, dan diplomasi maritim.

INTEGRASI OPEN DATA, URUN DAYA, DAN PEMETAAN PARTISIPATIF DALAM PENGELOLAAN SUMBER DAYA ALAM DAN LINGKUNGAN HIDUP (Integration of Open Data, Crowdsourcing, and Participatory Mapping for Natural Resources and Environmental Management) Moh. Dede; Asep Mulyadi; Millary Agung Widiawaty
Jurnal Sains Informasi Geografi Vol 3, No 2 (2020): Edisi November
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/jsig.v3i2.659

Ketersediaan data dan informasi merupakan salah satu kendala utama dalam pengelolaan sumber daya alam dan lingkungan (SDAL) di negara-negara berkembang. Padahal perkembangan teknologi di tengah masyarakat seharusnya mampu mendukung kegiatan pengelolaan SDAL menjadi lebih efisien dan efektif, sekaligus memberdayakan potensi sumber daya manusia setempat melalui open data, urun daya, dan pemetaan partisipatif. Artikel ini bertujuan untuk menjelaskan skema integrasi open data, urun daya, dan pemetaan partisipatif dalam pengelolaan SDAL. Integrasi ketiganya dapat diawali dengan memanfaatkan open data yang tersedia bebas melalui laman daring beragam instansi sebagai data dan informasi dasar. Keterbatasan utama open data yakni dari segi ketelitian serta updating bisa ditanggulangi melalui kegiatan urun daya. Pelibatan masyarakat secara sukarela dalam proses pengumpulan data dan informasi terkait SDAL merupakan ciri utama urun daya. Hasil kegiatan urun daya dikumpulkan secara daring melalui platform jejaring sosial maupun laman penyelenggara. Kualitas data dan informasinya sangat dipengaruhi oleh sosialisasi dari penyelenggara, pemasangan media bantu, dan perangkat yang digunakan oleh masyarakat. Kebutuhan data dan informasi lebih rinci dapat diperoleh melalui kegiatan pemetaan partisipatif yang mana pelaksanaannya harus diawali dengan pelatihan teknis bagi masyarakat dan pihak terlibat. Open data, urun daya, dan pemetaan partisipatif dapat diintegrasikan karena adanya kesamaan seperti semangat untuk berbagi, pemberdayaan masyarakat, pemberian nilai lebih terhadap data dan informasi, efisiensi biaya dan waktu, serta keterbukaan.

Unveiling Heavy Metal Pollution in Soils and Rice Crops (Oryza sativa L.) Cultivation Nana Danapriatna; Moh. Dede; Millary Agung Widiawaty; Hardini Puspitaningrum; Ridwan Lutfiadi
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 13, No 3 (2024): September 2024
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v13i3.730-738

The landscape changes through the increasing built-up areas (settlements and industrial) have a potential impact on reducing the quality of agricultural land. Waste from anthropogenic activities (industrial and domestic) is the main source of heavy metals that can affect rice production in the fields. This study examines the quality changes of paddy fields (Oryza sativa L.) polluted by wastewater in Muara Bakti Village, Bekasi Regency. Wastewater's impact on paddy fields is known through heavy metal contamination analysis in soil and rice plants. Chemical analysis of soil, water and plants was completed by the Balai Penelitian Tanaman Sayuran (Balitsa) Laboratory, West Bandung. The results showed that heavy metal levels such as lead (Pb) and cadmium (Cd) in the paddy soil samples were above the threshold in soil, respectively more than 25 mg/l and 0.01 mg/l. In contrast, the rice plant samples, it was identified as containing heavy metals such as Cd and chromium (Cr). Pb content was not detected in the rice plants. Soil in Muara Bakti Village contained optimal nutrients that are still suitable for agriculture. However, heavy metal content detected in soil samples and rice plants requires special handling to prevent endangering the agroecosystem and human health. Keywords: Agroecosystem, Heavy metals, Paddy fields, Soil pollution, Waste

Modeling Land Use and Land Cover Dynamic Using Geographic Information System and Markov-CA Millary Agung Widiawaty; Arif Ismail; Moh. Dede; N. Nurhanifah
Geosfera Indonesia Vol. 5 No. 2 (2020): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v5i2.17596

The need for built-up area increases along with a rise in population growth in many regions. This phenomenon leads to a tremendous change in agricultural land and decrease in the environmental carrying capacity. Therefore, this study aims to determine Land Use and Land Cover (LULC) dynamics and the drivers used for its modeling in 2030. This is a quantitative study, which uses the dynamic models of Geographic Information System (GIS) and Markov-CA. Data were obtained from the CNES-Airbus satellite imageries in 2009, 2014, and 2019 by using Google Earth at East Cirebon. The drivers include road density, distance to CBD, total population, distance to settlements, land slope and distance to rivers. The interaction between drivers and LULC change was analyzed using binary logistic regression. The results showed that the rise of built-up area reached 36.4 percent and causes the loss of 0.78 km2 of agricultural land from 2009 to 2019. The LULC simulation in 2030 shows an increase in the built-up area by 82.85 percent with probabilities above 0.6. Meanwhile the significant drivers for changes include road density and distance to settlements. In conclusion, efforts to reduce LULC change in agricultural land into built-up area is by re-strengthening spatial planning-based environmental awareness for the community. Keywords: Built-up area; GIS; LULC; Markov-CA; Spatial modeling Copyright (c) 2020 Geosfera Indonesia Journal and Department of Geography Education, University of Jember This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License

Social Disorganisation and Feeling Safe: Insights from Diverse Scottish Neighbourhoods Dede, Moh.; Widiawaty, Millary Agung; Malihah, Elly; Sunardi, Sunardi; Wulandari, Puspita; Susiati, Heni; Oktavia, Dina
JAMBURA GEO EDUCATION JOURNAL Volume 6, Issue 2 (2025): Jambura Geo Education Journal (JGEJ)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jgej.v6i2.32405

Neighbourhood safety remains a critical urban challenge, with social disorganisation theory positing that structural factors like poverty and residential instability weaken community cohesion and amplify crime perceptions. While Scotland has seen declining crime rates, persistent violence in deprived areas, and emerging disorder in affluent communities necessitate safety measures across socioeconomic situations. This study examines how social disorganisation influences perceptions of safety across affluent and deprived neighbourhoods in Edinburgh and Glasgow, Scotland. Using a cross-sectional survey of 610 residents, we employed multiple regression and ANOVA models to analyse six key indicators of social disorder (noise, vandalism, verbal abuse, burglary, unsupervised children, and physical assault) against self-reported feelings of safety. Data were transformed using the Item Response Theory and Rasch Model to enable parametric analysis, with cross-validation confirming model robustness (R² 0.92). Results revealed that verbal abuse (β = -0.565) and physical assault (β = -0.499) were the strongest predictors of reduced safety, with deprived areas exhibiting heightened vulnerability. Counterintuitively, affluent neighbourhoods reported higher perceived disorder for vandalism and unsupervised children, suggesting socioeconomic differences in reporting behaviours or tolerance thresholds. City-specific variations emerged: vandalism significantly impacted safety in Glasgow’s deprived areas but not Edinburgh’s, highlighting the need for locally tailored interventions. The findings reinforce social disorganisation theory while demonstrating its nuanced application across socioeconomic contexts. Urban safety research by incorporating minor incivilities often overlooked in crime statistics, offering evidence for holistic approaches to neighbourhood security.

Unveiling Heavy Metal Pollution in Soils and Rice Crops (Oryza sativa L.) Cultivation Danapriatna, Nana; Dede, Moh.; Widiawaty, Millary Agung; Puspitaningrum, Hardini; Lutfiadi, Ridwan
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 13 No. 3 (2024): September 2024
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v13i3.730-738

The landscape changes through the increasing built-up areas (settlements and industrial) have a potential impact on reducing the quality of agricultural land. Waste from anthropogenic activities (industrial and domestic) is the main source of heavy metals that can affect rice production in the fields. This study examines the quality changes of paddy fields (Oryza sativa L.) polluted by wastewater in Muara Bakti Village, Bekasi Regency. Wastewater's impact on paddy fields is known through heavy metal contamination analysis in soil and rice plants. Chemical analysis of soil, water and plants was completed by the Balai Penelitian Tanaman Sayuran (Balitsa) Laboratory, West Bandung. The results showed that heavy metal levels such as lead (Pb) and cadmium (Cd) in the paddy soil samples were above the threshold in soil, respectively more than 25 mg/l and 0.01 mg/l. In contrast, the rice plant samples, it was identified as containing heavy metals such as Cd and chromium (Cr). Pb content was not detected in the rice plants. Soil in Muara Bakti Village contained optimal nutrients that are still suitable for agriculture. However, heavy metal content detected in soil samples and rice plants requires special handling to prevent endangering the agroecosystem and human health. Keywords: Agroecosystem, Heavy metals, Paddy fields, Soil pollution, Waste

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