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All Journal Agromet POSITRON Majalah Geografi Indonesia IJEMS (Indonesian Journal of Environmental Management and Sustainability) Journal of the Civil Engineering Forum J-Sil (Jurnal Teknik Sipil dan Lingkungan)
Santikayasa, I Putu
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Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Decision Sciences, Operations Research & Management Earth & Planetary Sciences Energy Engineering Environmental Science Physics Public Health Transportation

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Identification of Peatland Burned Area based on Multiple Spectral Indices and Adaptive Thresholding in Central Kalimantan Pratikasiwi, Hilda Ayu; Taufik, Muh.; Santikayasa, I Putu; Domiri, Dede Dirgahayu
Agromet Vol. 38 No. 2 (2024): DECEMBER 2024
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/j.agromet.38.2.68-77

Abstract

Nowadays, spectral index has become popular as a tool to identify fire-burned areas. However, the use of a single index may not be universally applicable to region with diverse landscape and vegetation as peatlands. Here, we propose to develop a procedure that integrates multiple spectral indices with an adaptive thresholding method to enhance the performance of burned area detection. We combined the Normalized Difference Vegetation Index (NDVI) and the Normalized Burn Ratio (NBR) using MODIS imagery from 2002 to 2022 to calculate (Confirmed Burned Pixel) by filtering dNDVI and dNBR. The mean and standard deviation of serve as inputs for image thresholding. We tested our approach in Sebangau peatland, Central Kalimantan, where fires occur annually. The results showed that the model performed well with overall accuracy > of 91%, indicating that the model is effective and reliable for identifying burned areas. The findings also revealed that the frequency of fire is below 2 times/year, with the southeastern is the most fire prone regions. Further, our findings provide an alternative approach for identifying burned areas in locations with diverse vegetation cover and different geographical regions.
Analisis Multitemporal Pengaruh Perubahan Penggunaan Lahan terhadap Klasifikasi Resapan Air Tanah di Kota Surakarta Sulistiani, Sulistiani; Santikayasa, I Putu; Taufik, Muh; Lubis, Rachmat Fajar
Majalah Geografi Indonesia Vol 38, No 1 (2024): Majalah Geografi Indonesia
Publisher : Fakultas Geografi, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/mgi.89966

Abstract

Abstrak. Meningkatnya mobilitas penduduk menyebabkan peningkatan kebutuhan air serta perubahan penggunaan lahan di perkotaan. Adanya peningkatan kebutuhan air, maka sangat diperlukan sumber-sumber air baru khususnya dari air tanah. Disisi lain, perubahan lahan sangat mempengaruhi kemampuan pengisian air tanah. Penelitian ini bertujuan untuk menganalisis secara multitemporal dari perubahan penggunaan lahan tahun 2010-2040 dan mengidentifikasi kondisi resapan air tanah di Kota Surakarta. Adapun metode yang digunakan untuk prediksi Land Use Land Cover (LULC) yaitu menggunakan pendekatan metode Cellular Automata – Artificial Neural Network (CA-ANN) dimana untuk mengevaluasi hasil prediksi LULC menggunakan metode akurasi kappa, sedangkan untuk analisis kondisi resapan air tanah menggunakan metode skoring. Bahan yang digunakan yaitu LULC dari citra Landsat 7 ETM+ dan Landsat OLI tahun 2000, 2010, dan 2020, DEM, jenis tanah, kemiringan lereng, dan curah hujan. Hasil prediksi LULC di Kota Surakarta menunjukkan bahwa terjadi peningkatan  LULC untuk kawasan terbangun dengan total luasan sebesar 71,08% pada tahun 2030 dan 71,83% pada tahun 2040. Selain kawasan terbangun, area vegetasi mengalami penurunan sebesar 1,26% di tahun 2040. Hasil simulasi kondisi resapan air tanah di Kota Surakarta tahun 2020 dan 2040 menunjukkan bahwa lokasi penelitian memiliki 5 kelas klasifikasi yaitu kondisi resapan baik, normal alami, mulai kritis, agak kritis, dan kritis. Kota Surakarta didominasi oleh kelas agak kritis dan kritis dengan luasan area sebesar 17,29 km2 tahun 2020 menjadi 20,85 km2 tahun 2040 untuk kelas IV yaitu agak kritis, dan untuk kelas V yaitu kritis memiliki luasan area sebesar 13,91 km2 tahun 2020 menjadi 15,08 km2 tahun 2040. Abstract. Increased population mobility leads to increased water demand and changes in land use in urban areas. With the increase in water demand, new water sources, especially from groundwater, are needed. On the other hand, land use change greatly affects groundwater recharge capacity. This research aims to analyse multitemporal land use change from 2010-2040 and identify the condition of groundwater recharge in Surakarta City. The method used for Land Use Land Cover (LULC) prediction is using Cellular Automata - Artificial Neural Network (CA-ANN) method approach where to evaluate the LULC prediction results using the kappa accuracy method, while for the analysis of groundwater recharge condition using scoring method. The materials used are LULC from Landsat 7 ETM+ and Landsat OLI images in 2000, 2010, and 2020, DEM, soil type, slope, and rainfall. The prediction results of LULC in Surakarta City show that there is an increase in LULC for built-up areas with a total area of 71.08% in 2030 and 71.83% in 2040. In addition to the built-up area, the vegetation area decreased by 1.26% in 2040. Meanwhile, the simulation results of groundwater infiltration conditions in Surakarta City in 2020 and 2040 show that the research location has 5 classification classes, namely good infiltration conditions, natural normal, starting to be critical, somewhat critical, and critical. Surakarta City is dominated by the mildly critical and critical classes with an area of 17.29 km2 in 2020 to 20.85 km2 in 2040 for class IV which is mildly critical, and for class V which is critical has an area of 13.91 km2 in 2020 to 15.08 km2 in 2040.
Pemodelan Dinamika CO2 Pada Tanaman Kelapa Sawit Kii, Meriana Ina; June, Tania; Santikayasa, I Putu
Agromet Vol. 34 No. 1 (2020): JUNE 2020
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (554.343 KB) | DOI: 10.29244/j.agromet.34.1.42-54

Abstract

Oil palm plantation has a high potency to absorb carbon. Limited observed data and expensive instrumentations to measure the absorbed carbon have caused an inaccurate estimation of carbon storage from oil palm. The objectives of this research were to develop a CO2 absorption model, and to calculate the carbon cycle based on climate factors and plant age. CO2 absorption was derived from gross primary production (GPP) and net primary production (NPP), which were ​​based on solar radiation. From NPP we derived net ecosystem exchange (NEE) by calculating the difference between NPP and soil respiration. Our results showed that age of oil palm has influenced the CO2 absorption from 9.8 (1 year) to 117 tons ha-1 year-1 (19 years), with average of 86.5 tons ha-1 year-1 (over 25-year life cycle). We validated our NPP model with biomass that indicated a very good performance of the model with R2 0.95 and RMSE 1.81. Meanwhile, the performance of NEE model was slightly lower (R2 0.71 and 0.72, for wet and dry conditions), but the model had a similar pattern with the measured NEE. Based on the model performance, the findings imply that the model is useful to estimate CO2 absorption, where there is no eddy covariance measurement. This research suggests that carbon modeling will contribute to global terrestrial carbon modeling.
Identifying Prolonged Zero Value Periods as Part of Quality Control on Daily Rainfall Records in East Java, Indonesia Wibawanty, Dinda Rosyia; Santikayasa, I Putu; Supari
Journal of the Civil Engineering Forum Vol. 11 No. 2 (May 2025)
Publisher : Department of Civil and Environmental Engineering, Faculty of Engineering, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jcef.12720

Abstract

Ensuring the quality of surface rainfall records is crucial for obtaining highly representative data and facilitating further comprehensive analysis. Given that surface rainfall observations are predominantly conducted using conventional gauges, they are still susceptible to human errors that can significantly impact data quality. Among various types of errors that may arise, the issue of zero rainfall records is relatively overlooked. Prolonged zero rainfall periods may introduce uncertainty, as mistyped missing data can be erroneously replaced with zero values. The challenge in handling this issue is complicated by the absence of sufficient evidence to conclusively determine the validity or suspicion of consecutive zero rainfall periods. Therefore, we implemented the Affinity Index, altitude difference, and maximum distance approaches to detect and evaluate (validate or reject) any potential invalid sequences of prolonged zero values in the rainfall dataset. The Affinity Index quantifies the agreement of rain and non-rain events between two meteorological stations, functioning as a metric to evaluate the similarity of their rainfall patterns. Utilizing daily data from 682 rain gauge stations in East Java, Indonesia, spanning from January 2010 to December 2019, we identified two major concerns: zero rainfall accumulation during the peak of the rainy season (December/January/February) and extended dry spells lasting more than 180 days. To address the first issue, we flagged the corresponding station and excluded it from the dataset. For the second issue, we established reference stations for each target station to enable meaningful comparisons. The study found that 8.8% of stations detected zero rainfall accumulation during the peak of the rainy season. Regarding prolonged dry spells, we successfully assessed 98% of extended dry spell events in East Java. The majority of these events were considered valid, while around 3% were deemed dubious.
Analisis Pengaruh Faktor Meteorologi terhadap Fluktuasi ????????????.???? di Kota Pontianak (Periode Tahun: 2022-2023) Qonita, Ismi Rizqi; Santikayasa, I Putu; Turyanti, Ana
POSITRON Vol 15, No 1 (2025): Vol. 15 No. 1 Edition
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam, Univetsitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/positron.v15i1.91566

Abstract

Salah satu zat pencemar yang berbahaya bagi kesehatan manusia akibat peningkatan volume kendaraan dan pembukaan lahan di kota Pontianak adalah Particulate Matter (PM2.5). Penelitian ini bertujuan untuk mengidentifikasi dan menganalisis konsentrasi PM2.5 di tahun 2022-2023, yang dipengaruhi faktor meteorologi. Data yang digunakan mencakup data konsentrasi PM2.5, dan data meteorologi berupa curah hujan, suhu udara, kecepatan dan arah angin. Metode analisis yang digunakan adalah analisis deskriptif dan statistik pengaruh faktor meteorologi terhadap konsentrasi PM2.5. Hasil penelitian menunjukkan bahwa konsentrasi maksimum dan minimum PM2.5 harian tahun 2022 adalah 30,34 μg/m³ dan 8,01 μg/m³. Tahun 2023, nilai maksimum dan minimum PM2.5 adalah 31,31 μg/m³ dan 12,71 μg/m³. Hal ini menunjukkan bahwa nilai ambang batas PM2.5 harian masih di bawah NAB, yaitu sebesar 55 μg/m³ . Konsentrasi maksimum dan minimum PM2.5 bulanan untuk tahun 2022 pada bulan Maret adalah sebesar 39,51 μg/m³ dan 9,32 μg/m³. Tahun 2023, konsentrasi maksimum terjadi di bulan Agustus, yaitu 82,83 μg/m³, dan minimum terjadi pada bulan Maret sebesar 5,29 μg/m³. Konsentrasi tahun 2022 dan 2023 dihitung sebesar 20,06 μg/m³ dan 22,30 μg/m³. Hasil tersebut berada di atas nilai ambang batas tahunan yang telah ditetapkan yaitu 15 μg/m³. Berdasarkan hasil analisis regresi memperlihatkan pada tahun 2022 faktor curah hujan dan suhu udara signifikan terhadap konsentrasi PM2.5 namun tidak untuk kecepatan angin. Nilai koefisien korelasi curah hujan dan kecepatan angin adalah negatif, sedangkan suhu udara bernilai positif. Tahun 2023 curah hujan dan suhu udara berpengaruh hampir signifikan, sedangkan kecepatan angin tidak signifikan dengan nilai koefisien korelasi sama dengan tahun 2022.
Driving Factors Influencing Watershed Management and Sustainability: A Systematic Review Taslim, Ivan; Basuni, Sambas; Purwanto, Moh. Yanuar Jarwadi; Santikayasa, I Putu
Indonesian Journal of Environmental Management and Sustainability Vol. 9 No. 3 (2025): September
Publisher : Magister Program of Material Science, Graduate School of Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/ijems.2025.9.3.115-133

Abstract

Watershed management and sustainability have gained significant global attention due to escalating environmental, socioeconomic, and governance challenges. This study presents a Systematic Literature Review (SLR) aimed at identifying and synthesizing key driving factors that influence watershed management and sustainability. A comprehensive search was conducted exclusively in the Scopus database, covering publications from 2013 to 2023. Through PRISMA-based screening and thematic analysis of 193 relevant studies, a total of 37 driving factors were identified. These factors were classified into three main domains: biophysical (7 factors), socio-economic (13 factors), and institutional (17 factors). The findings reveal that institutional factors are most prominently emphasized, followed by socio economic and biophysical dimensions. This synthesis provides a holistic understanding of the complex and interconnected elements that drive watershed sustainability. The insights derived are intended to inform future research, support evidence-based policymaking, and strengthen integrated watershed management practices across diverse geographic and socio-political contexts. The search employed multiple keyword combinations, including ”watershed”, ”catchment”, ”river basin”, ”drivers”, ”influencing factors”, and ”determinants”, ensuring broader thematic coverage within the Scopus database.
Identifikasi Lokasi Potensial Panen Air Hujan Menggunakan Indeks Kesesuaian Embung dan Sistem Informasi Geografi di Provinsi Jawa Timur Indonesia: Identification of Locations for Potential Rainwater Harvesting Using the Conformity Index of Embankments and Geographic Information Systems in East Java Province, Indonesia Santikayasa, I Putu; Syarifah, Mauludiyyatus; Taufik, Muh
Jurnal Teknik Sipil dan Lingkungan Vol. 6 No. 3: Desember 2021
Publisher : Departemen Teknik Sipil dan Lingkungan IPB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jsil.6.3.187-204

Abstract

Increasing population has an impact on increasing food supply to fulfil the requirement of the community. Increasing in food supply is able to be achieved by increasing the agricultural productive area. Low-water agricultural technology is one of technology can be applied in the development of agricultural areas with sufficient water availability. But on the other hand, water harvesting technology using pond is one approach in the development of agricultural land in dry areas. This study uses a geographic information system (GIS) approach to identify areas that have high potential for the development of water harvesting ponds in East Java Province, Indonesia. GIS approaches is used for spatial analysis in calculating the area potential index for the ponds deveopment based on climate, physical surface and vegetation indicators. This index is calculated based on indicators, each of which is obtained from the surface parameter data. The results of the study show that the East Java Province is categorized as the "very suitable" and "appropriate" areas on water harvesting ponds suitability by 55% and 23%, respectively. This results show that the potential of the East Java area for developing water harvesting pond is very high about 78% compared with the entire region. On the other hand, locations that is categorized as "not suitable" and "very inappropriate" are about 8.7% and 9.2% compared with total area of ​​East Java Province. Iit can be concluded that climate, physical surface and vegetation indicators are very important in determining the locations of water harvesting ponds development in East Java Province.
Analisis Indeks Pencemaran Airtanah di DKI Jakarta dengan Interpolasi Spasial: Analysis of Groundwater Pollution Index in DKI Jakarta using Spatial Interpolation Prasetya, Dimas Ardi; Santikayasa, I Putu; Azizi, Iqbal Hanun
Jurnal Teknik Sipil dan Lingkungan Vol. 6 No. 3: Desember 2021
Publisher : Departemen Teknik Sipil dan Lingkungan IPB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jsil.6.3.177-186

Abstract

Everyone needs water to his life and his activity. Groundwater pollution is one of the problems in Indonesia. The increasing number of the show an increase water needs. They were filled with groundwater needs. There has been decreasing groundwater that is occupied in quantity and quality. The research was done in Jakarta, consisting of 42 sub-district. Research takes into account the condition of the dry season. Uses index research quality of groundwater pollution. Monitoring parameter groundwater consisting of physics, chemical and biology paramater. The research consists of determining the pollution index in Jakarta, analysis of groundwater pollution, and predicted entanglement with an index pollution population density. The research uses spatial interpolation to determine locations. Pollution index calculation used calculation storet. The measurement results in the rate used in the analysis index groundwater pollution. The research results obtained index value has increased pollution are on the north and central of Jakarta. The research results obtained East Jakarta having the condition geology that porous. The value of the groundwater pollution index was in north Jakarta. The results of the study indicated by a map pollution index the quality of groundwater during three periods. Index pollution in Jakarta consisting of pollution until the same as the quality standard. Research shows the absence of correlation with the population with the pollution groundwater quality.
Assessing the Influence of Climate Services and Climate Change Adaptation Strategies on Smallholder Agriculture: A Systematic Literature Review Marjuki, Marjuki; Koesmaryono, Yonny; Santikayasa, I Putu; Sopaheluwakan, Ardhasena
Agromet Vol. 39 No. 2 (2025): DECEMBER 2025
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/j.agromet.39.2.75-85

Abstract

Climate services and climate change adaptation practices are increasingly recognized as essential for supporting smallholder farmers. Despite numerous studies on climate impacts and adaptation strategies, limited systematic evidence exists on how climate services and adaptation interventions influence farming practices across regions. This study addresses the gap through a systematic literature review of Scopus-indexed publications over the past decade. Using the PRISMA approach, 1981 articles were screened, with 31 meeting the eligibility criteria. Of these, 23 focused on adaptation interventions and 8 on climate services. Geographically, 30 studies were concentrated in tropical regions Africa (n =16) and in Asia (n=14), while one study was outside the tropics. Findings show that climate information strongly supports the adoption of adaptation strategies (>60%), especially in technological interventions such as Climate-Smart Agriculture, ecosystem management, irrigation, and climate risk reduction. In terms of service delivery, basic climate service provision demonstrated greater effectiveness (80%) compared to advisory-based agricultural services (40%). Socio-demographic factors, particularly education and age, consistently influenced farmers’ decision-making in adopting both climate services and adaptation practices. Overall, this review highlights the need for more integrated approaches that explicitly connect climate services with adaptation interventions. Strengthening these linkages is especially critical in tropical regions, where smallholder farmers remain highly vulnerable to climate variability and long-term climate change risks.
Co-Authors Ana Turyanti Azizi, Iqbal Hanun Dede Dirgahayu Domiri, Dede Dirgahayu Ivan Taslim Kii, Meriana Ina Marjuki Marjuki Muh Taufik Muh. Taufik Prasetya, Dimas Ardi Pratikasiwi, Hilda Ayu Qonita, Ismi Rizqi Rachmat Fajar Lubis Sambas Basuni Sopaheluwakan, Ardhasena Sulistiani Sulistiani, Sulistiani Supari Syarifah, Mauludiyyatus Tania June Wibawanty, Dinda Rosyia Yonny Koesmaryono