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SEJARAH LETUSAN GUNUNG MERAPI BERDASARKAN FASIES GUNUNGAPI DI DAERAH ALIRAN SUNGAI BEDOG, DAERAH ISTIMEWA YOGYAKARTA Muh. Aris Marfai; Ahmad Cahyadi; Danang Sri Hadmoko; Andung Bayu Sekaranom
JURNAL RISET GEOLOGI DAN PERTAMBANGAN Vol 22, No 2 (2012)
Publisher : Indonesian Institute of Sciences

ABSTRAK Tujuan dari penelitian ini adalah untuk memetakan fasies Gunungapi Merapi yang terletak di DAS Bedog Propinsi Daerah Istimewa Yogyakarta dan bahaya gunungapi yang diakibatkan oleh erupsi Gunungapi Merapi berdasarkan pada fasies gunungapinya. Pengambilan sampel dilakukan dengan sistematic random sampling. Fasies gunungapi ditentukan berdasarkan ciri-ciri litologi dan klasifikasi fasies gunungapi, sedangkan bahaya gunungapi ditentukan berdasarkan identifikasi bahaya-bahaya gunungapi yang dapat menghasilkan batuan-batuan yang menjadi ciri-ciri dari masing-masing fasies. Hasil penelitian menunjukkan bahwa fasies gunungapi di DAS Bedog dari fasies medial dan fasies distal dari Gunungapi Merapi. Hal ini mengindikasikan bahwa pada masa lampau telah terjadi jatuhan awan panas, hujan abu, dan aliran lahar pada fasies medial serta hujan abu pada fasies distal. Kondisi saat ini di mana letak DAS Bedog berada di bawah DAS Krasak dan DAS Boyong (tidak berhulu di puncak Gunungapi Merapi) serta morfologi dan letak DAS Bedog yang berada di belakang Bukit Turgo menyebabkan aliran lahar sulit terjadi.

Urban Green Space Analysis and its Effect on the Surface Urban Heat Island Phenomenon in Denpasar City, Bali Wirayuda, I Kade Alfian Kusuma; Widayani, Prima; Sekaranom, Andung Bayu
Forest and Society Vol. 7 No. 1 (2023): APRIL
Publisher : Forestry Faculty, Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24259/fs.v7i1.24526

The Urbanization process in Indonesia’s big cities causes adverse environmental impacts such as climate change and land cover change. Urban climate change causes the warming of urban areas compared to rural areas; it is called Urban Heat Island phenomenon. Loss of vegetation due to urban development is one of several causes that contribute to urban heat islands. This study examines the availability of green spaces and their effects on the surface urban heat island in Denpasar city. This study used the spatial approach for Urban Green space mapping with digitizing methods. Landsat 8's thermal band is used for land surface temperature mapping and to conduct a spatial pattern analysis of the SUHI phenomena. The Global Moran’s Index and Local Indicator of Spatial Association (LISA) were used to determine the correlation between urban green space and SUHI. The study result shows that Denpasar City's urban green space area covers 28.22 km2. That's equal to 22.1% of the Denpasar City Administrative area. Denpasar Selatan district has the largest urban green space cover, with 14.19 km2 covered, or 50.27% of all the green space in Denpasar City. The majority of Denpasar is affected by UHI occurrences, except the northern region of North Denpasar and the southern region of South Denpasar. The maximum UHI level reaches 4-5°C, located on the east side of South Denpasar, especially in the Sanur coastal area. According to the spatial pattern study, the association between urban green space and SUHI only exists on the north side of Denpasar. The correlation between low-SUHI intensity clusters and high cover of green space is shown in the same area. However, the association between High-UHI intensity and low green space cover has not significantly happened. It indicated that other factors besides green space could affect the land surface temperature.

Climate Change Adaptation in Batang Hari, Jambi: A Case Study of Rainfed Paddy Farmers Nasution, Mulia; Purnama, Setyawan; Sekaranom, Andung Bayu
Indonesian Journal of Geography Vol 56, No 3 (2024): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijg.90325

Batang Hari is situated as one of the central rice-producing regencies within Jambi Province. However, the agricultural sector in Batang Hari is severely impacted by climate change in the context of productivity. This study aimed to examine rainfall and temperature trends over the last 20 years (2002 to 2021), assess farmers' perceptions, and identify the current adaptation measures due to the impact of climate change on rainfed paddy fields. This study is of great importance because it employs a holistic approach, integrating quantitative data on climate trends with qualitative insights from farmers. The results showed that rainfall decreased by 20–50 mm/month, and the average temperature increased by 0.4°C in 20 years. The qualitative data on farmers' perceived impact of changes in climate variability reported an agreement with climatological data. The farmers perceived a decrease in rainfall and a concurrent rise in temperatures. Furthermore, a delayed onset of the rainy season was noted, leading to an adjustment of their planting schedules. Certain adaptation measures to adjust to the perceived impact of changes in climate variability on their rainfed paddy fields were also implemented. These measures included crop management as well as socio-economic adaptation. Farmers' adaptation measures included modifying crop varieties, adjusting planting seasons, adopting agricultural machinery, and diversifying income through off-farm activities. It is also important to emphasize technological based adaptation to enhance climate resilience, as well as sustainable land management practices, agroforestry initiatives, and soil conservation efforts for long-term agricultural sustainability.

Investigating Influencing Factors of Shoreline Changes in Bantul's Tourist Coastal Areas Using GIS and Satellite Data Hakim, Buddin Al; Prabawardani, Destianingrum; Prijambodo, Tjahjono; Setyaningrum, Nugraheni; Sekaranom, Andung Bayu; Shakyra, Eki Aurora
Journal Omni-Akuatika Vol 21, No 1 (2025): Omni-Akuatika May (in progress)
Publisher : Fisheries and Marine Science Faculty - Jenderal Soedirman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.oa.2025.21.1.1154

The littoral zone is the most vulnerable area to the impacts of climate change and human activities. Current weather anomalies and the development of human activities in coastal areas are on the rise. Remote sensing and geographic information system approaches have been widely used to monitor shoreline changes using easily accessible satellite imagery. This study aims to identify the dominant factors driving littoral change at Bantul Beach and assess the relationship between tourism activity and coastal abrasion. This study uses the Geographic Information System (GIS) analysis method using Landsat-8 satellite imagery from 2013 to 2023. In monitoring shoreline changes, NDWI and DSAS analyses were conducted to identify factors influencing coastal changes. A study was also conducted to examine the parameters of the coastal profile, wind, waves, tides, and human activities. Based on 10 years of image data, the study location has generally experienced high abrasion, with an average EPR value of -1.51 m/year, an average SCE value of 47 meters, and a dominant negative NSM value. The most influential factors are the slope of the shoreline and waves, especially during high waves or storms. The increase in the number of tourists in Bantul Yogyakarta tourism spots is not linearly correlated to the occurrence of abrasion. There needs to be coastal protection and mitigation that prioritizes the dominant factors causing abrasion, utilizing a soft engineering approach and local wisdom.Keywords: Shoreline changes, Tourist Coastal Areas, DSAS, Landsat-8, Bantul Yogyakarta

Bibliometric Analysis of Research Trends on Utilisation of Low-Cost Sensor (LCS) and Internet of Things (IoT) for PM2.5 Air Pollution Monitoring Santoso, M.Sc, Dian Hudawan; Santosa, Sri Juari; Sekaranom, Andung Bayu
Jurnal Mineral, Energi dan Lingkungan Vol 8 No 2 (2024): Jurnal Mineral, Energi dan Lingkungan Volume 8, No. 2 Tahun 2024
Publisher : Universitas Pembangunan Nasional (UPN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/jmel.v8i2.14769

This investigation elucidates the inadequacies inherent in conventional air pollution monitoring methodologies, advocating for the implementation of Low-Cost Sensors (LCS) and the Internet of Things (IoT) as pioneering alternatives, specifically for the surveillance of Particulate Matter 2.5 (PM2.5). Through the execution of a bibliometric analysis, this research endeavors to assess the evolution of academic literature from 2014 to 2023, discerning principal trends, notable authors, leading nations, and prospective avenues for research. The originality of this study is manifested in its recognition of a marked escalation in this domain, particularly since 2019, alongside the burgeoning significance of LCS and IoT as economically feasible solutions for air quality governance. Scholars from emerging nations, such as Indonesia, are underscored as possessing distinctive prospects to engage in this proliferating field of inquiry, particularly in the realm of environmental management. Metadata was systematically amassed via Scopus utilizing pertinent keywords and subjected to analysis employing Biblioshiny and Vosviewer software, uncovering a pronounced increase in publications, notably in 2022. Distinguished authors include Alam F, Ali S, and Potgieter J. The results suggest that forthcoming research and practical implementations of LCS and IoT for PM2.5 monitoring possess substantial promise, presenting a fruitful pathway for tackling air quality issues on a global scale.

Low-Cost Sensor Based on Internet of Things for PM₂¸₅ Air Quality Monitoring Santoso, Dian Hudawan; Santosa, Sri Juari; Sekaranom, Andung Bayu
Indonesian Journal of Geography Vol 57, No 2 (2025): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijg.104159

The issue of air pollution, particularly that of particulate matter (PM2.5), has recently garnered significant global attention. However, the implementation of effective air quality management is frequently impeded by a dearth of adequate monitoring and measurement equipment. In Yogyakarta City and its surrounding areas, monitoring ambient air concentration, particularly PM2.5, remains difficult due to the limitations of monitoring tools such as Air Quality Monitoring System (AQMS). These tools are costly to operate, which further worsens the challenges. Therefore, this research aimed to design Internet of Things (IoT)-based Low-Cost Sensor (LCS) as an economical and reliable alternative to PM2.5 monitoring tools. Research and Development method was used with Plomp development model, which included investigation, design, calibration, as well as implementation. The results showed that IoT-based LCS followed the SNI 9178: 2023 standard with precision (SD 0.659 µg/m³; CV 23.59%), bias (slope 0.94; intercept 0.65 µg/m³), linearity (R² = 0.9), and RMSE 1.43 µg/m³. Moreover, the regression relationship between IoT-based LCS and AQMS was shown by the equation Y = 0.8633X + 2.7604, signifying a strong correlation between the two tools. During the analysis, IoT-based LCS appeared to be a promising solution for air quality monitoring, offering both effectiveness and affordability, with real-time data relevant to environmental management.. The IoT-based LCS has been designed simply, meets the calibration standards of SNI 9178:2023, and can be applied in suburban areas.

DAMPAK EL NIÑO DAN LA NIÑA TERHADAP SUHU MAKSIMUM DI KABUPATEN TEMANGGUNG Firmansyah, Anugrah Jorgi; Nurjani, Emilya; Sekaranom, Andung Bayu
J SIG (Jurnal Sains Informasi Geografi) Vol 8, No 1 (2025): Edisi Mei
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/jsig.v8i1.4385

This study analyzes the impact of the El Niño and La Niña phenomena on the maximum temperature in Temanggung Regency in the period 1995 to 2024. The El Niño and La Niña phenomena can affect temperature and rainfall which have the potential to change local climate conditions and cause hydrometeorological disasters. The method used in this study is spatial analysis using Google Earth Engine, ArcGIS, RStudio software, as well as monitoring the Oceanic Niño Index (ONI) to identify the El Niño and La Niña phases. The maximum temperature data obtained from the ERA5 reanalysis was corrected with AWS observation data. The mean ratio bias correction method is quite effective in improving the average correlation value of the ERA5 dataset in Temanggung Regency against AWS observation data. The previous average correlation value of -0.1 (before bias correction) strengthened to 0.685 (after bias correction). The data correction factor for ERA5 was 1.3204, which was applied to all ERA5 data points and can improve the MBE, RMSE, MAE, and PBIAS values to be smaller approaching zero so that the maximum temperature data from ERA5 can be used for data processing in this region. The results of the study indicate that the El Niño phase causes an increase in maximum temperature, while the La Niña phase tends to decrease the maximum temperature. Significant maximum temperature anomalies were recorded during the El Niño phase, with the highest temperature reaching 41°C in October or increasing by around 7.89% compared to the neutral phase, which can increase the potential risk of drought. During the La Niña phase, the average largest decrease in temperature was in November at -1.53°C or around 4.14% compared to the neutral phase. This study provides important insights for climate change mitigation planning in the Temanggung area, especially in the agriculture and health sectors.

PROYEKSI KEKRITISAN AIR TAHUN 2021-2035 BERDASARKAN SKENARIO CMIP6 (COUPLED MODEL INTERCOMPARISON PROJECT PHASE 6) DI DAERAH ISTIMEWA YOGYAKARTA Naim, Asshaffa; Zerlinda, Aurelia; Oktaviani, Malinda Budi; Abidin, Pramuditya Vanesya Putri Febrian; Nurjani, Emilya; Sekaranom, Andung Bayu; Setyaningrum, Etik; Prabowo, Andriyas Aryo
Jurnal Meteorologi dan Geofisika Vol. 25 No. 1 (2024)
Publisher : Pusat Penelitian dan Pengembangan BMKG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/jmg.v25i1.1063

Climate change can lead to an imbalance between water demand and supply, resulting in problems such as water scarcity. To avoid this, a projection of the level of water scarcity is needed. Water scarcity is calculated as the percentage of water demand to water supply. This research aims to determine the level of need, availability, and scarcity of meteorological water. This research uses meteorological water supply obtained through Thornthwaite- Mather water balance calculation from CMIP6 rainfall and temperature projection modeling data in SSP2 and SSP5 scenarios. CMIP6 data was corrected using distribution mapping and average ratios methods to improve the distribution and data values. Water demand indicators are reviewed from three sectors, namely domestic water demands, agricultural water demands, and livestock water demands. The water supply calculation results in Daerah Istimewa Yogyakarta (DIY) show a pattern that fluctuates from year to year during the 2021-2035. Meanwhile, water demand continues to increase along with population growth. The level of water scarcity shows that, overall, DIY is classified as not critical to slightly critical in the SSP2 scenario and not critical to critical in the SSP5 scenario. The difference in the level of scarcity is influenced by socio-economic development and climate change mitigation efforts assumed in each scenario. By knowing the projected level of water scarcity, policymakers are expected to pursue appropriate climate change mitigation measures to actualize the best SSP scenario.

Simulasi Hujan Lebat Pemicu Banjir Bandang Di Sub Das Sumbergunung Kota Batu Menggunakan Model WRF-ARW Skema Kessler Kain Fritsch Pratama, Ilham Diki; Nurjani, Emilya; Sekaranom, Andung Bayu
Jurnal Penelitian Geografi (JPG) Vol 11, No 2 (2023): Jurnal Penelitian Geografi (JPG)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jpg.v11i2.27701

Peristiwa banjir bandang dipicu oleh curah hujan lebat. Dampak banjir bandang di Kota Batu tanggal 4 November 2021 mengakibatkan kerusakan harta benda, lahan pertanian, hancurnya permukiman masyarakat, matinya hewan ternak dan hilangnya nyawa manusia. Penelitian ini dilakukan di Sub DAS Sumbergunung Kota Batu, Jawa Timur dengan menggunakan model WRF-ARW skema mikrofisika Kessler dan skema cumulus Kain Fritsch. Data yang digunakan dalam penelitian ini adalah data GFS pada tanggal 30 Oktober 2021 dengan resolusi 0,25ox0,250 yang digunakan untuk memprediksi kejadian hujan hingga pada tanggal 4 November 2021.Verfikasi model dilakukan dengan menggunakan tabel kontingensi dan verifikasi menggunakan batas toleransi. Hasil penelitian ini menunjukkan bahwa model ini mampu memprediksi kejadaian hujan dan tidak hujan dengan sangat baik. Akan tetapi model ini belum cukup baik dalam memprediksi ketebalan hujan hingga pada tanggal 4 November 2021. Meskipun demikian, model ini mampu memprediksi hujan hingga 2 hari kedepan yakni hingga tanggal 1 November 2021. Kata kunci: banjir bandang; kota batu; parameterisasi; sub das sumbergunung; WRF-ARW DOI: http://dx.doi.org/10.23960/jpg.v11.i2.27701

Bibliometric Analysis of Research Trends on Utilisation of Low-Cost Sensor (LCS) and Internet of Things (IoT) for PM2.5 Air Pollution Monitoring Santoso, M.Sc, Dian Hudawan; Santosa, Sri Juari; Sekaranom, Andung Bayu
Jurnal Mineral, Energi dan Lingkungan Vol 8 No 2 (2024): Jurnal Mineral, Energi dan Lingkungan Volume 8, No. 2 Tahun 2024
Publisher : Universitas Pembangunan Nasional (UPN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/jmel.v8i2.14769

This investigation elucidates the inadequacies inherent in conventional air pollution monitoring methodologies, advocating for the implementation of Low-Cost Sensors (LCS) and the Internet of Things (IoT) as pioneering alternatives, specifically for the surveillance of Particulate Matter 2.5 (PM2.5). Through the execution of a bibliometric analysis, this research endeavors to assess the evolution of academic literature from 2014 to 2023, discerning principal trends, notable authors, leading nations, and prospective avenues for research. The originality of this study is manifested in its recognition of a marked escalation in this domain, particularly since 2019, alongside the burgeoning significance of LCS and IoT as economically feasible solutions for air quality governance. Scholars from emerging nations, such as Indonesia, are underscored as possessing distinctive prospects to engage in this proliferating field of inquiry, particularly in the realm of environmental management. Metadata was systematically amassed via Scopus utilizing pertinent keywords and subjected to analysis employing Biblioshiny and Vosviewer software, uncovering a pronounced increase in publications, notably in 2022. Distinguished authors include Alam F, Ali S, and Potgieter J. The results suggest that forthcoming research and practical implementations of LCS and IoT for PM2.5 monitoring possess substantial promise, presenting a fruitful pathway for tackling air quality issues on a global scale.

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