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All Journal Indonesian Journal of Geography Media Komunikasi Geografi Forum Geografi Journal of Applied Geospatial Information Jurnal Manusia dan Lingkungan
Santosa, Sigit Herumurti Budi
Faculty Of Geography, Gadjah Mada University , Sekip Utara, Yogyakarta 55281
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Earth & Planetary Sciences Education Engineering Environmental Science Physics Social Sciences

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Study of Socio-Economic-Cultural Impacts and Community Health Due to Oil and Natural Gas Exploration Activities in the Tuban Oil and Gas Field Ai Siti Patimah; Sigit Heru Murti; Agus Prasetya
Indonesian Journal of Geography Vol 55, No 1 (2023): 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.70639

Abstract

This research is a social study by capturing several problems in the oil and gas sector combined with literature studies that have relevant themes. This study aims to determine the social, economic, cultural and health impacts of the oil and gas company's exploration activities in the Tuban Oil and Gas Field. Data collection was in the form of primary data and secondary data in semester II of 2018. The methods used in this study were qualitative and quantitative methods. Qualitative methods taken from primary data, namely observation and interviews. Primary data were obtained through direct observation and interviews with respondents selected by purposive sampling. The quantitative method uses secondary data obtained from research documents and reports relating to government agencies and companies. Primary data and secondary data were combined and then conducted interviews to obtain deeper information using the forum group discussion (FGD) method. The final data obtained were analyzed using descriptive statistical methods. The results of the study show that there are jobs for local workers, but the information is still not transparent and most of the jobs are temporary projects. Most people know and feel the benefits of the presence of oil and gas companies in their area. The community expects the company's attention to reduce people's concerns about oil and gas activities. Conflicts often occur due to delays in the disbursement of compensation funds and the implementation of CSR, as well as several oil and gas company activities that have a direct impact on the community. The company's efforts to boost the local economy by increasing employment opportunities and increasing wage rates. Meanwhile, in terms of public health, it cannot be determined with certainty whether there is a correlation between disease and the activities of oil and gas companies. In general, oil and gas companies have a positive impact on the community around the working areas of oil and gas companies.
The Compatibility Study of Sentinel 1 Multitemporal Analysis For River-Flood Detection, Study Case: Bogowonto River Muhammad Sufwandika Wijaya; Ulfa Aulia Syamsuri; Irfan Zaki Irawan; Prima Widayani; Projo Danoedoro; Sigit Heru Murti
Journal of Applied Geospatial Information Vol 7 No 2 (2023): Journal of Applied Geospatial Information (JAGI)
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jagi.v7i2.5365

Abstract

Flooding is a common natural disaster in Purworejo District, which can be caused by the overflowing of the Bogowonto River. The use of multitemporal analysis with Synthetic Aperture Radar (SAR) images, such as Sentinel-1, has the potential to aid in flood inundation detection for disaster mitigation in the area. However, there has not been any research examining the compatibility of flood inundation detection using multitemporal Sentinel-1 images with the flood susceptibility characteristics of the Bogowonto River. This study aims to evaluate this using a SWOT analysis. The results show that multitemporal analysis using Sentinel-1 images is not suitable for detecting flood inundation in the Bogowonto River due to difficulties in finding the right acquisition time at the time of the flood event. The duration of floods in the Bogowonto River is approximately 1-2 days, while the earliest reacquisition time for Sentinel-1 images for this study is 12 days. Additionally, Sentinel-1 images using band C have limitations in detecting floods under vegetation.
NATURAL SUSTAINABILITY OF TODDY PALM (Borassus flabellifer L.) IN LINAMNUTU, TIMOR TENGAH SELATAN, NUSA TENGGARA TIMUR (Sustainabilitas alami Lontar (Borassus flabellifer L.) di Desa Linamnutu, Timor Tengah Selatan, Nusa Tenggara Timur) Retno Peni Sancayaningsih; Sigit Heru Murti Budi Santosa; Asri Vidya Utami
Jurnal Manusia dan Lingkungan Vol 23, No 1 (2016): Maret
Publisher : Pusat Studi Lingkungan Hidup Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jml.18776

Abstract

ABSTRAKBorassus flabellifer usually known as Toddy palm or Lontar is a member of Family Arecaceae, a kind of palms that highly distributed in Nusa Tenggara Timur Province. This palm is abundant and wellknown for its endless uses, such as for building material, cattle feed, and food for the people in Linamnutu. Therefore study on Toddy palm density, fertility, and its survivorship is necessary to reveal natural sustainability of Toddy Palm for future use. This study was done through field work in Linamnutu Village, Timor Tengah Selatan Regency, Nusa Tenggara Timur Province from June 19th to July 1st 2011. Sampling sites was selected using remote sensing analysis method, and . Results showed that density of Lontar in nature was 195 trees per hectare, while using remote sensing methods plant density was 221 trees per hectare in 4,332 hectare. Total lontar trees in the village are 845.885 trees. Seed survivorship is 0.34 %. The high density and number of trees in more than 50 % cover area is still enough for future needs of inhabitants in Linamnutu, even though for future economic subsistence, a local wisdom to culture Lontar seedlings was encouraged for the future prospect. ABSTRACTBorassus flabellifer yang dikenal sebagai Lontar (Toddy palm) adalah anggota famili Arecaceae, merupakan tumbuhan palma yang tersebar sangat baik di Propinsi Nusa Tenggara Timur. Tumbuhan palma ini sangat melimpah dan dikenal karena kegunaannya yang sangat tinggi, materi bahan bangunan, makanan ternak, dan juga sebagai makanan untuk penduduk di desa Linamnutu. Oleh karena itu penelitian tentang sustainabilitas alami, meliputi kerapatan tumbuhan, fertilitas dan nilai sintasannya sangat penting dikethaui untuk penggunaan di masa mendatang. Penelitian densitas Lontar ini dilaksanakan di desa Linamnutu, kecamatan Timor Tengah Selatan, NTT pada tanggal 19 Juni sampai dengan 1 Juli 2011 dari 6 lokasi yang dipilih menggunakan analisis citra foto udara dan citra landsat. Hasil penelitian menunjukkan bahwa kerapatan Lontar di alam sebesar 195/ha, sementara menggunakan pendekatan NDVI diperoleh kerpatan 221/ha dengan luas wilayah 4.332 ha. Jumlah total pohon Lontar di desa Linamnutu adalah 845.885 buah dengan sintasan biji sebesar 0,34 %. Kerapatan pohon yang masih tinggi di lebih dari 50% luas wilayah masih memenuhi keperluan bahan bangunan di masa mendatang bagi penduduk desa Linamnutu. Meskipun demikian, untuk pemenuhan ekonomi keluarga secara swasembada, pemencaran semai Lontar untuk dibudidayakan perlu didorong untuk prospek yang lebih baik di masa mendatang.
Distribution of Accuracy of TRMM Daily Rainfall in Makassar Strait G Giarno; Muhammad Pramono Hadi; Slamet Suprayogi; Sigit Heru Murti
Forum Geografi Vol 32, No 1 (2018): July 2018
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v32i1.5774

Abstract

This research aims to evaluate rainfall estimates of satellite products in regions that have high variations of rainfall pattern. The surrounding area of Makassar Strait have chosen because of its distinctive rainfall pattern between the eastern and western parts of the Makassar Strait. For this purpose, spatial distribution of Pearson’s coefficient correlation and Root Mean Square Error (RMSE) is used to evaluate accuracy of rainfall in the eastern part of Kalimantan Island and the western part of Sulawesi Island. Moreover, we also used the contingency table to complete the parameter accuracy of the TRMM rainfall estimates. The results show that the performance of TRMM rainfall estimates varies depending on space and time. Overall, the coefficient correlation between TRMM and rain observed from no correlation was -0.06 and 0.78 from strong correlation. The best correlation is on the eastern coast of South West Sulawesi located in line with the Java Sea. While, no variation in the correlation was related to flatland such as Kalimantan Island. On the other hand, in the mountain region, the correlation of TRMM rainfall estimates and observed rainfall tend to decrease. The RMSE distribution in this region depends on the accumulation of daily rainfall. RMSE tends to be high where there are higher fluctuations of fluctuating rainfall in a location. From contingency indicators, we found that the TRMM rainfall estimates were overestimate. Generally, the absence of rainfall during the dry season contributes to improving TRMM rainfall estimates by raising accuracy (ACC) in the contingency table.
Hubungan Nilai Evapotranspirasi Metode Penman-Monteith dengan Indeks Vegetasi di Sebagian Wilayah Provinsi DI Yogyakarta dan Jawa Tengah Tahun 2024 Dini Rachmadhani; Projo Danoedoro; Prima Widayani; Sigit Heru Murti Budi Santosa; Sandy Budi Wibowo
Media Komunikasi Geografi Vol. 27 No. 1 (2026)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/mkg.v27i1.110080

Abstract

Alih fungsi lahan di wilayah Daerah Istimewa Yogyakarta dan Jawa Tengah dari area bervegetasi menjadi kawasan terbangun berpengaruh terhadap siklus hidrologi, khususnya pada proses evapotranspirasi. Salah satu parameter yang dapat digunakan untuk merepresentasikan kondisi vegetasi adalah indeks vegetasi, seperti Normalized Difference Vegetation Index (NDVI) dan Soil Adjusted Vegetation Index (SAVI). Penelitian ini bertujuan untuk menganalisis hubungan antara evapotranspirasi yang dihitung menggunakan metode Penman–Monteith dengan indeks vegetasi NDVI dan SAVI. Metode penelitian meliputi analisis spasial menggunakan citra Landsat 8 tahun 2024, analisis statistik, serta pendekatan konvensional berdasarkan data meteorologi dari Badan Meteorologi, Klimatologi, dan Geofisika (BMKG). Hasil penelitian menunjukkan bahwa hubungan antara NDVI dan evapotranspirasi memiliki nilai koefisien korelasi Pearson sebesar 0,157 dengan nilai signifikansi 0,801, sedangkan hubungan antara SAVI dan evapotranspirasi menghasilkan nilai koefisien Pearson sebesar 0,136 dengan nilai signifikansi 0,828. Kedua hasil tersebut menunjukkan bahwa hubungan yang diperoleh tergolong sangat lemah dan tidak signifikan secara statistik, dinamika evapotranspirasi di wilayah dengan lanskap heterogen tidak dapat dijelaskan hanya oleh indeks vegetasi, melainkan memerlukan pendekatan yang mempertimbangkan interaksi kompleks antara vegetasi, iklim, dan karakteristik fisik wilayah.
Integrasi Penginderaan Jauh dan Random Forest untuk Pemodelan Kerawanan Kebakaran di Taman Nasional Bromo Tengger Semeru Dhia Aufa Sabila; Sigit Heru Murti Budi Santosa; Prima Widayani
Media Komunikasi Geografi Vol. 27 No. 1 (2026)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/mkg.v27i1.113260

Abstract

Kebakaran hutan dan lahan merupakan bencana ekologis yang berulang di Indonesia, terutama pada periode musim kemarau. Peningkatan frekuensi dan intensitas kebakaran diperlukan mekanisme pencegahan yang lebih efektif berbasis informasi spasial mengenai wilayah rawan untuk mengurangi potensi dan dampaknya. Integrasi data penginderaan jauh yang merepresentasikan kondisi vegetasi, iklim, topografi, dan faktor antropogenik dengan pemodelan berbasis pembelajaran mesin menjadi pendekatan yang relevan untuk memetakan kerawanan kebakaran secara objektif dan terukur. Penelitian ini bertujuan mengevaluasi kinerja algoritma Random Forest (RF) dalam memodelkan probabilitas kerawanan kebakaran hutan dan lahan serta mengidentifikasi faktor-faktor dominan yang memengaruhinya melalui analisis variable importance berbasis Mean Decrease in Gini di kawasan Taman Nasional Bromo Tengger Semeru (TNBTS). Hasil penelitian menunjukkan bahwa model RF menghasilkan nilai AUC sebesar 0,948, yang mengindikasikan kemampuan diskriminatif sangat baik dalam membedakan area rawan dan tidak rawan kebakaran. Elevasi menjadi prediktor paling dominan dengan kontribusi sebesar 20,23%, diikuti oleh NDVI sebesar 11,51% dan Potential Evapotranspiration sebesar 10,16%. Temuan ini menunjukkan bahwa interaksi topografi, kondisi vegetasi, dan tekanan kekeringan merupakan pengontrol utama kerawanan kebakaran di TNBTS. Sementara itu, variabel aspect dan jarak terhadap sungai menunjukkan kontribusi terendah terhadap model. Hasil pemetaan menunjukkan bahwa kawasan dengan tingkat kerawanan tinggi mencakup 10.523,12 ha, sedangkan kelas kerawanan sangat tinggi mencakup 3.666,36 ha. Secara keseluruhan, penelitian ini menunjukkan bahwa RF merupakan pendekatan yang andal untuk pemetaan kerawanan kebakaran hutan dan lahan berbasis penginderaan jauh, sekaligus menyediakan dasar empiris bagi perumusan strategi pencegahan, pengawasan, dan mitigasi kebakaran yang lebih terarah pada skala operasional kawasan konservasi.
Distribution of Accuracy of TRMM Daily Rainfall in Makassar Strait G Giarno; Muhammad Pramono Hadi; Slamet Suprayogi; Sigit Heru Murti
Forum Geografi Vol 32, No 1 (2018): July 2018
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v32i1.5774

Abstract

This research aims to evaluate rainfall estimates of satellite products in regions that have high variations of rainfall pattern. The surrounding area of Makassar Strait have chosen because of its distinctive rainfall pattern between the eastern and western parts of the Makassar Strait. For this purpose, spatial distribution of Pearson’s coefficient correlation and Root Mean Square Error (RMSE) is used to evaluate accuracy of rainfall in the eastern part of Kalimantan Island and the western part of Sulawesi Island. Moreover, we also used the contingency table to complete the parameter accuracy of the TRMM rainfall estimates. The results show that the performance of TRMM rainfall estimates varies depending on space and time. Overall, the coefficient correlation between TRMM and rain observed from no correlation was -0.06 and 0.78 from strong correlation. The best correlation is on the eastern coast of South West Sulawesi located in line with the Java Sea. While, no variation in the correlation was related to flatland such as Kalimantan Island. On the other hand, in the mountain region, the correlation of TRMM rainfall estimates and observed rainfall tend to decrease. The RMSE distribution in this region depends on the accumulation of daily rainfall. RMSE tends to be high where there are higher fluctuations of fluctuating rainfall in a location. From contingency indicators, we found that the TRMM rainfall estimates were overestimate. Generally, the absence of rainfall during the dry season contributes to improving TRMM rainfall estimates by raising accuracy (ACC) in the contingency table.
Co-Authors Agus Prasetya Ai Siti Patimah Arno, Giarno Asri Vidya Utami Dhia Aufa Sabila Dini Rachmadhani Irfan Zaki Irawan Muhammad Pramono Hadi Muhammad Sufwandika Wijaya Prima Widayani Projo Danoedoro Projo Danoedoro Retno Peni Sancayaningsih Sandy Budi Wibowo Slamet Suprayogi Ulfa Aulia Syamsuri