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All Journal Indonesian Journal of Geography Geo Media: Majalah Ilmiah dan Informasi Kegeografian Jurnal Ilmu Lingkungan Tunas Geografi Jurnal Teknosains Geoplanning : Journal of Geomatics and Planning Majalah Geografi Indonesia JTSL (Jurnal Tanah dan Sumberdaya Lahan) Journal of Degraded and Mining Lands Management Forum Geografi Jurnal Fisika FLUX JURNAL ILMIAH GEOMATIKA MAJALAH ILMIAH GLOBE Jurnal Sains Dan Teknologi (SAINTEKBU) Jurnal Geografi Jurnal Penelitian Kelapa Sawit Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital ASEAN Journal on Science and Technology for Development Jurnal Penginderaan Jauh Indonesia Journal of Sylva Indonesiana BIO-EDU: Jurnal Pendidikan Biologi Jurnal Pengabdian dan Pengembangan Masyarakat Jurnal Agriment International Journal for Disaster and Development Interface Prosiding Seminar Nasional Teknik Lingkungan Kebumian SATUBUMI Jurnal Spasial: Penelitian, Terapan Ilmu Geografi dan Pendidikan Geografi Jurnal Penginderaan Jauh Indonesia Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital
Sigit Heru Murti
Departemen Sains Informasi Geografi, Fakultas Geografi, Universitas Gadjah Mada
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Other

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Pemetaan Lahan Kritis Untuk Analisis Kesesuaian Pemanfaatan Lahan di Kabupaten Kulon Progo Wirastuti Widyatmanti; Sigit Heru Murti; Prima Dinta Syam
Jurnal Pengabdian dan Pengembangan Masyarakat Vol 1, No 1 (2018): MAY
Publisher : Pengabdian dan Pengembangan Masyarakat Sekolah Vokasi UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jp2m.41024

Abstract

Uncontrolled and unsupported changes in land use by good watershed conservation efforts will lead to degradation of watershed quality, caused by declining land functions as buffer zones, both from production and water availability aspects. Therefore, efforts should be made to improve the function and land use so that the watershed quality is in a balanced and sustainable condition. One way that can be implemented to make land use arrangements is to look at the critical aspect of land in the region. This study aims to map critical lands in Kulon Progo regency using spatial data analysis from remote sensing image interpretation and existing thematic maps; and analyze the linkage between existing land use to existing critical land. Spatial analysis is done by overlaying some spatial data (critical land determinants) to generate a new mapping unit to be used as an analytical unit. The scoring method accommodates different types of parameter data available to determine the degree of criticality of the land. The result of the analysis shows that in Kulon Progo Regency 16.7% or 9541,21 ha from the area of the district is uncritical, while 47.8% or 27,397 ha is potentially critical land, or if not managed properly can become critical land; and 35.5% or 20,329 ha are areas with land critical status from somewhat critical, critical to very critical.
EFFECT OF LAND BIOPHYSICAL CONDITIONS ON LANDSLIDE VULNERABILITY IN MENOREH HILLS (CASE STUDY IN GIRITENGAH VILLAGE) Chatarina Ganis Ratna Wardani; Hatma Suryatmojo; Sigit Heru Murti
JURNAL AGRIMENT Vol 7 No 1 (2022): Juni 2022
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (515.777 KB) | DOI: 10.51967/jurnalagriment.v7i1.919

Abstract

Giritengah Village is one of the villages with tourism potential, strategically located in the Menoreh hills, best known for the landmass movement on Java Island. This study aimed to identify the biophysical conditions of the land that could trigger landslides in the Menoreh Hills, especially in Giritengah Village. This research was carried out in two stages divided into identifying the occurrence of landslides and identifying the land conditions. There were 33 landslides in 28 locations, with 3 locations of repeated landslides two times and 1 location of repeated landslides three times in the 2015-2021 period. Landslides In Giritengah Village are classified as shallow slides and deep slides, also a flat slip plane or translational landslide. The trend of landslides experienced a sharp increase in 2018 as many as nine events. A decrease that influenced this trend was community activity in maintaining irrigation channels. Based on the overall biophysical conditions observed and analyzed in this study, there are two patterns of landslide drift in Giritengah Village. The first pattern was a landslide at very steep slope conditions, little vegetation with low density, and not too thick soil solum. The second pattern was a landslide at steep slope conditions, thick soil solum to very thick, and lots of vegetation with medium density. These two patterns create a stronger driving force than the restraining force, making Giritengah Village a landslide-prone area.
THE CAPABILITY OF SENTINEL 1 (SAR) FOR FLOOD MAPPING: A CASE STUDY IN SERANG WATERSHED, KULONPROGO REGENCY Artha Uli Simatupang; Sigit Heru Murti; Taufik Hery Purwanto
JURNAL GEOGRAFI Vol 14, No 2 (2022): JURNAL GEOGRAFI
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jg.v14i2.32213

Abstract

Floods are the most common natural disaster in Indonesia, with high intensity than any other natural disaster. A flood is a condition where an area is inundated due to an overflow of water that exceeds the water disposal capacity in a room, resulting in physical, social, and economic losses. The Serang watershed (DAS) belongs in the Priority I (critical) watershed condition, so it is necessary to determine flood-prone areas in future management. Sentinel 1 Remote Sensing Image (SAR) can record at any time, day or night, and in all weather conditions, making it suitable for flood analysis. This study aimed to determine the ability of Sentinel 1 Image (SAR) in determining the inundation flood area in Serang watershed, Kulonprogo Regency, Indonesia. The method used was the Otsu algorithm with threshold determination by measuring and evaluating the variance between classes of a threshold at a certain level calculated from the normalized histogram of the image. Floods in the Serang watershed, Kulonprogo Regency, mainly occur in agricultural areas. The ability of Sentinel images to obtain land surface data in all conditions can be used for flood analysis where passive sensor images cannot record it. In addition, the withdrawal of inundation areas on Sentinel 1 imagery using the Otsu algorithm can determine a threshold to separate inundated and unflooded areas with a confusion matrix of 77%.Keywords: Flood, Sentinel 1 (SAR), Otsu Algorithm
Analisis Kadar Logam Berat Kromium (Cr) dalam Air dan Ikan Akibat Pembuangan Limbah Industri Penyamakan Kulit di Sungai Opak, Piyungan, Bantul, Daerah Istimewa Yogyakarta Erwika Dora Jati; Sigit Heru Murti; Bowo Susilo; Khaerul Amru; Mutia Herni Ningrum; Said Fahmi
Prosiding Seminar Nasional Teknik Lingkungan Kebumian SATU BUMI Vol 5, No 1 (2023): PROSIDING SEMINAR NASIONAL TEKNIK LINGKUNGAN KEBUMIAN (SATU BUMI) KE-V
Publisher : UPN "Veteran" Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31315/psb.v5i1.11674

Abstract

Sungai Opak merupakan sungai besar di Yogyakarta yang melintasi banyak kawasan industri salah satunya adalah kawasan industri Piyungan. Sejak tahun 2012, jumlah industri Piyungan yang menggunakan logam berat semakin meningkat terutama industri penyamakan kulit. Hal ini, berdampak langsung terhadap Sungai Opak sebagai tempat pembuangan air limbah. Penelitian ini bertujuan untuk mengukur kadar kromium (Cr) di dalam air dan ikan pada Sungai Opak. Pengambilan sampel didasarkan pada metode purposive sampling. Analisis kandungan logam kromium pada air dan ikan menggunakan AAS (Atomic Absorption Spectrophotometer). Lokasi pengambilan sampel ditentukan berdasarkan prioritas yang disusun berdasarkan jumlah dan jenis kegiatan serta distribusi sumber dan jenis pencemar. Parameter yang diukur terhadap 5 jenis titik pengambilan sampel meliputi kromium pada air dan kromium pada ikan. Hasil penelitian menunjukkan bahwa kandungan kromium pada ikan tidak melebihi baku mutu, sedangkan 2 dari 5 titik sampling air memiliki kandungan kromium sebesar sebesar 0,08 dan 0,55 mg/L yang melebihi baku mutu air.
Relation of morphometric characteristics to land degradation in the Biyonga sub-watershed, Gorontalo Regency, Indonesia Jaya, Risman; Murti, Sigit Heru; Adji, Tjahyo Nugroho; Sulaiman, Muhammad
Journal of Degraded and Mining Lands Management Vol. 11 No. 2 (2024)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2024.112.5263

Abstract

One of the crucial watersheds causing significant sedimentation in Lake Limboto is the Biyonga sub-watershed. This study aimed to examine and evaluate the morphometric characteristics of the watershed that contribute to possible erosion and land degradation hazards in the Biyonga sub-watershed. ALOS PALSAR (11.25 m), TERRASAR-X (5-10 m), and DEMNAS satellite images with a resolution of 8 m were employed, combining spatial analysis with a remote sensing approach and a Geographic Information System. Basic data of morphometric parameters were generated through basin morphometric analysis using Digital Elevation Model (DEM) image extraction. Then, the linear aspect, area, and relief parameters were defined by mathematical morphometric equations. The calculation results were interpreted into field data to confirm the relationship between watershed morphometric characteristics related to erosion and land degradation events. The results of the morphometric analysis showed that the flow density is a medium-textured criterion with a long elongation shape and an elongated flow pattern. Based on the relief aspect, the Biyonga Sub-watershed is in the form of moderate relief, has various characteristics with an average ratio, and has terrain that can trigger erosion and land degradation. This study has provided information that degraded land is not fully influenced by morphometric factors but due to poor land use and management systems, which accelerate erosion and sedimentation.
PEMETAAN PENGGUNAAN LAHAN SAWAH BERDASARKAN PENDEKATAN EKOLOGI BENTANG LAHANMENGGUNAKAN CITRA PEREKAMAN TUNGGAL Hasibuan, Algi Variski; Danoedoro, Projo; Murti, Sigit Heru
Jurnal Tanah dan Sumberdaya Lahan Vol. 12 No. 1 (2025)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtsl.2025.012.1.2

Abstract

A rice field land-use map is essential in the sustainable land management of rice fields for physical monitoring and planning. Such maps are usually created using multitemporal image data with a spectral approach, but this method can only be applied to certain areas and cannot be easily applied to other areas with different land characteristics. While multitemporal data has been widely used by researchers and proven effective, using single-date imagery can be more efficient. This study aimed to map rice field land-use based on a single-date Sentinel-2 imagery and landform maps. These landform maps were derived through visual interpretation of false colour composite bands, DEMNAS, and land system map. The interpretation resulted in eleven landform classes. The landscape ecology approach assumed the influence of landforms on land-use. The use of ten optical bands in multispectral classification using the maximum likelihood algorithm and convolutional neural network algorithm resulted in twelve land cover classes. The land cover map and the landform map were implemented through a two-dimensional ecological spatial relationship matrix that produced nine land-use classes. The convolutional neural network algorithm obtained an overall accuracy of 90,28% with a Kappa of 0,87. This result was better than the maximum likelihood algorithm, which obtained an overall accuracy of 86,81% with Kappa 0,83. The land-use map for the rice field class produced by the convolutional neural network algorithm had a total area of 33.686,69 ha and a mean absolute error (MAE) value of 0,0241, while the maximum likelihood algorithm produced a total area of 29.590,21 ha with a larger MAE value of 0,0343.
Prediksi tutupan lahan untuk penentuan jangkauan manuver pemeliharaan darat di Kawasan New Yogyakarta International Airport Agustinus, A.K.A; Murti, Sigit Heru; Suratman, Suratman
Geomedia Majalah Ilmiah dan Informasi Kegeografian Vol. 22 No. 2 (2024): Geo Media: Majalah Ilmiah dan Informasi Kegeografian
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/gm.v22i2.75597

Abstract

Dalam konteks militer, kawasan Bandar Udara New Yogyakarta International Airport (NYIA) dapat berfungsi sebagai tempat pertahanan militer (central of gravity) yang dapat memicu perubahan lingkungan strategis pada tahun-tahun mendatang dan berpengaruh terhadap kemudahan manuver pertahanan darat. Tujuan penelitian ini adalah mengetahui prediksi perubahan lahan tutupan dan kemudahan manuver pertahanan darat tahun 2030 dibandingkan dengan tahun 2022 menggunakan metode Cellular Automata-Artificial Neural Network (CA-ANN) untuk menganalisis prediksi tutupan lahan dan Euclidean Distance untuk menganalisis kemudahan manuver. Hasil analisis menunjukkan terjadi perubahan tutupan lahan signifikan di sekitar Bandara NYIA tahun 2014-2022, dengan daerah bervegetasi, lahan kosong dan daerah pertanian terkonversi menjadi bangunan/permukiman. Analisis CA-ANN menggunakan data tutupan lahan 2014 dan 2018 menghasilkan nilai Kappa Coefficient 0,82193 dengan persentase correctness 89,15723% sehingga layak untuk memprediksi tutupan lahan tahun 2030. Pada tahun 2022 dan pada prediksi 2030, sebagian besar kawasan penelitian memiliki manuver pertahanan yang sangat mudah dan mudah, sehingga memperlancar operasi pertahanan darat.
PEMETAAN PENGGUNAAN LAHAN SAWAH BERDASARKAN PENDEKATAN EKOLOGI BENTANG LAHANMENGGUNAKAN CITRA PEREKAMAN TUNGGAL Hasibuan, Algi Variski; Danoedoro, Projo; Murti, Sigit Heru
Jurnal Tanah dan Sumberdaya Lahan Vol. 12 No. 1 (2025)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jtsl.2025.012.1.2

Abstract

A rice field land-use map is essential in the sustainable land management of rice fields for physical monitoring and planning. Such maps are usually created using multitemporal image data with a spectral approach, but this method can only be applied to certain areas and cannot be easily applied to other areas with different land characteristics. While multitemporal data has been widely used by researchers and proven effective, using single-date imagery can be more efficient. This study aimed to map rice field land-use based on a single-date Sentinel-2 imagery and landform maps. These landform maps were derived through visual interpretation of false colour composite bands, DEMNAS, and land system map. The interpretation resulted in eleven landform classes. The landscape ecology approach assumed the influence of landforms on land-use. The use of ten optical bands in multispectral classification using the maximum likelihood algorithm and convolutional neural network algorithm resulted in twelve land cover classes. The land cover map and the landform map were implemented through a two-dimensional ecological spatial relationship matrix that produced nine land-use classes. The convolutional neural network algorithm obtained an overall accuracy of 90,28% with a Kappa of 0,87. This result was better than the maximum likelihood algorithm, which obtained an overall accuracy of 86,81% with Kappa 0,83. The land-use map for the rice field class produced by the convolutional neural network algorithm had a total area of 33.686,69 ha and a mean absolute error (MAE) value of 0,0241, while the maximum likelihood algorithm produced a total area of 29.590,21 ha with a larger MAE value of 0,0343.
Total Suspended Solid (TSS) Study in Gajah Mungkur Reservoir Based on Landsat Image Analysis Astuti, Nurul; Murti, Sigit Heru; Widayani, Prima
Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat Vol 21, No 2 (2024): Jurnal Fisika Flux: Jurnal Ilmiah Fisika FMIPA Universitas Lambung Mangkurat
Publisher : Lambung Mangkurat University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/flux.v21i2.17749

Abstract

Total Suspended Solid (TSS), as one of the physical parameters of water quality, can also become an indicator in more comprehensive research themes. TSS is closely related to the process of erosion and sedimentation. One of the reservoirs that is experiencing serious problems with sedimentation is WGM. In terms of physical changes, alterations in water quality involve the introduction of both organic and inorganic solid particles, leading to elevated water turbidity and diminished penetration of sunlight into the water body. Remote sensing techniques can indirectly estimate and map TSS in bodies of water. Landsat imagery has been widely used in TSS studies. Not only is it able to identify water turbidity, but it also has a long time series and convenient data accessibility. The purpose of this research is to examine the TSS equation in the form of Normalised Suspended Material Index (NSMI) and the Syarif Budhiman Algorithm to obtain a comparison of results that are suitable for application to the waters of WGM using Landsat imagery. The results showed that the Syarif Budhiman Algorithm is considered more suitable to be applied to the study site based on statistical analysis using Landsat image data and field TSS sample data. The accuracy test results for the two equations did not show significant differences. The Syarif Budhiman equation showed a value of 37.87, and the NSMI equation of 37.47. However, the coefficient of model determination was 0.251 for NSMI and 0.340 for Syarif Budhiman. The distribution of TSS at the study site is generally homogeneously distributed with small concentrations ranging from 0-20 mg/L in the middle side of the reservoir. While the TSS class > 100 mg/L is scattered on the edge of the reservoir in Pondok, Keduang, Kepuh Wiroko, Temon, Bengawan Solo Hulu, Alang, and Kedungguling sub-watersheds
POLA SPASIAL KONSUMSI ENERGI RUMAH TANGGA DI PULAU SUMATERA TAHUN 2020 Ningrum, Ratna Kusuma; Budiani, Sri Rahayu; Murti, Sigit Heru
Jurnal Spasial Vol 11, No 2 (2024)
Publisher : Program Studi Pendidikan Geografi Universitas PGRI Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22202/js.v11i2.9904

Abstract

Sumatra Island is one of the largest islands in Indonesia and has a large population, but the distribution of population and utilization of energy resources is not evenly distributed. The purpose of this study is to examine the demographic, socio-economic, and physical factors of the region that affect household energy consumption on the island of Sumatra and their spatial patterns. The data used are the 2020 National Socio-Economic Survey (Susenas), Village Potential (Podes) 2018 and Podes 2020. The analysis used is the Geographically Weighted Regression (GWR) method, the Global Moran Index value and Local Indicators of Spatial Autocorrelation (LISA). The results showed that the demographic, socio-economic and physical factors of the area consisting of gender, age, employment status, education of the head of the household, household size, household income, access to modern energy, area of residence, regional topography and road accessibility affect household energy consumption on the island of Sumatra. The spatial pattern formed from household energy consumption on the island of Sumatra is a clustered pattern, so that the achievement of household energy consumption in one island is not evenly distributed, both in terms of the type of household energy used and the price obtained at the consumer level.
Co-Authors - Hartono Agus Joko Pitoyo Agus Prasetya Agustinus, A.K.A Ahmad Cahyadi **) Ai Siti Patimah Amru, Khaerul Andri Saputra Arina Miardini Arno, Giarno Artha Uli Simatupang Aryaguna, Prama Ardha Binsasi, Remigius Bintoro Saputro Bowo Susilo Bowo Susilo Chatarina Ganis Ratna Wardani Christian S. Imburi Cynthia Permata Sari Defri Mandoza Dhimas Wiratmoko Eko Haryono Erny Poedjirahajoe Erwika Dora Jati Fahmi, Said Giarno Giarno Hadiyan, Yayan Halvina Grasela Saiya Handayani, Nelly Hartono Hartono Hartono Hartono Hartono Hartono Hartono Hartono Hasibuan, Algi Variski Hatma Suryatmojo Hendy Fatchurohman Hudaya, Yudi Fatwa Indra Agus Riyanto Irsan, Laode Muhamad Jati, Erwika Dora Jaya, Risman Khaerul Amru Kurniawan Sigit Wicaksono Langgeng Wahyu Santosa Luthfi Muta'ali Mariah Ulfa Masrur Alatas Milla, Helny Yofin Mega Moehar Maraghiy Harahap Muhammad Pramono Hadi Muhammad Pramono Hadi, Muhammad Pramono Muhammad Sulaiman Mutia Herni Ningrum Netty Dahlah Uar Ningrum, Mutia Herni Ningrum, Ratna Kusuma Nur Aziz Widodo Nurani, Ratna Nurul Astuti, Nurul Pendi Tri Sutrisno Prabang Setyono Pramaditya Wicaksono, Pramaditya Prihantarto, Wikan Jaya Prima Dinta Syam Prima Widayani Projo Danoedoro R. Suharyadi Raras Endarto Raras Endarto Retno Peni Sancayaningsih RETNO PENI SANCAYANINGSIH S Suratman Safitri, Nabila Zalianti Said Fahmi Sanjiwana Arjasakusuma Setyowati, Heratania Aprilia Slamet Suprayogi Slamet Suprayogi Slamet Suprayogi Sri Rahayu Budiani Su Ritohardoyo Sudaryatno Sunarto Sunarto Suprapto Dibyosaputro Suratman Suratman SUWARNO HADISUSANTO Taufik Hery Purwanto Tjahyo Nugroho Adji Totok Gunawan Totok Gunawan Totok Gunawan Totok Gunawan Wa Alimuna Wahyu, Hyundra Zakiya Putri Widhi Himawan Widyatmanti, Wirastuti Wikan Jaya Prihantarto Yanuar Adji Nugroho Yayan Hadiyan Yudi Fatwa Hudaya Yudi Fatwa Hudaya Zuhrita, Anissa Zulfajri Zulfajri, Zulfajri