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All Journal Indonesian Journal of Geography Media Komunikasi Geografi Geoplanning : Journal of Geomatics and Planning Majalah Geografi Indonesia Journal of Degraded and Mining Lands Management Forum Geografi Jurnal Pengabdian Kepada Masyarakat (Indonesian Journal of Community Engagement) Jurnal Kesehatan Vokasional Aptisi Transactions on Technopreneurship (ATT) Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments) Jurnal Pengabdian Mandiri JEELS (Journal of English Education and Linguistics Studies) Journal of Novel Engineering Science and Technology Indonesia Journal of Social Responsibility Review (IJSRR) Warta LPM

R. Suharyadi

Faculty Of Geography, Universitas Gadjah Mada Yogyakarta

Author-ID : 353442

Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Mechanical Engineering Nursing Public Health Social Sciences Other

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Integrasi Foto Udara dan Sistem Informasi Geografis untuk Evaluasi Penentuan Letak Bangunan Candi di Wilayah Prambanan, Klaten, Jawa Tengah dan Daerah Istimewa Yogyakarta Sutikno Sutikno; Suharyadi Suharyadi
Majalah Geografi Indonesia Vol 29, No 1 (2015): Majalah Geografi Indonesia
Publisher : Fakultas Geografi, Universitas Gadjah Mada

ABSTRAK Sebagai bangunan keagamaan, bangunan candi didirikan atau dibangun berdasarkan syarat tertentu. Dikenal beberapa kitab pedoman pembangunan candi seperti Manasara, Silpasastra, Vastupurusa, Kashyapasilpa. Pedoman pembangunan candi tersebut tidak hanya berlaku di India saja tetapi juga di Indonesia dan begitu juga di wilayah Prambanan. Lahan yang sesuai adalah lahan yang subur, datar, jenis tanah yang baik, permeabilitas baik, tidak mengandung gas atau racun, serta mudah memperoleh air. Kesesuaian lahan merupakan tujuan utama dari penelitian ini. Penelitian dilakukan terhadap lahan di wilayah Prambanan meliputi Kecamatan Kalasan dan Prambanan Kabupaten Sleman, DIY dan Kecamatan Prambanan, Kabupaten Klaten Jawa Tengah. Digunakan data foto udara hitam putih skala 1:20.000 liputan wilayah Yogyakarta tahun perekaman 2001. Dari foto udara akan dilakukan interpretasi parameter fisik lahan yaitu bentuklahan dan penggunaan lahan. Parameter lainnya diperoleh dari data sekunder hasil penelitian yang telah dilakukan. Dilakukan interpretasi, digitasi, overlay analisis dan penilaian terhadap parameter fisik lahan dengan bantuan perangkat SIG dan diperoleh kelas kesesuaian lahan untuk bangunan candi. Diperoleh tiga kelas kesesuaian lahan untuk bangunan candi yaitu kelas S1 (Baik), S2 (Sedang) dan S3 (Buruk). Dari 11 bangunan candi terdapat sembilan candi yang terletak di lahan kelas S1 (Baik), dua candi di lahan kelas S2 (Sedang) dan tidak ada candi yang terletak di lahan kelas S3 (Buruk). Bangunan candi yang didirikan dengan persyaratan lahan secara konseptual dan tradisional berdasarkan kitab ternyata sesuai dengan kriteria kesesuaian lahan dalam pengetahuan modern. Integrasi antara data penginderaan jauh (foto udara) dan perangkat analisis SIG (ArcView) dapat digunakan untuk menyadap informasi parameter fisik lahan untuk memperoleh kelas kesesuaian lahan untuk bangunan candi di wilayah Prambanan. ABSTRACT As a religious building, the temple was founded or constructed based on certain conditions. Known some as the book of temple construction guidelines as Manasara, Silpasastra, Vastupurusa, Kashyapasilpa. Temple construction guidelines is not only apply in India, but also in Indonesia and so also in the Prambanan. Suitable land is fertile land, flat, kind of good soil, good permeability, contains no gas or toxic and easy to get water. Land suitability is the main of this research. Research carried out on Prambanan area includes the Kalasan and Prambanan sub-district Sleman Regency, Yogyakarta and Prambanan sub-district, Klaten regency, Central Java. Data was used panchromatic aerial photographs scale of 1: 20,000 coverage of Yogyakarta recording year 2001. From the aerial photo will intrepret using physical parameter, namely landforms and land use. Other parameters obtaine from secondary data from results of previous research. Interpretation, digitization, overlay analysis and assessment of the physical parameters use GIS tool and obtaine land suitability category for temple. There are three category of land suitability for temple is S1 (Good), S2 (moderate) and S3 (Bad). From the 11 temple, there are nine temples located in the S1 (Good), two temples in S2 (moderate) and no temples in S3(Poor). The temple building was established with the requirements land in conceptual and traditional based on the book with the criteria of land suitability in modern science. The integration between remote sensing data (aerial photos) and analysis tools GIS (ArcView) can be used to extract physical parameters information to obtain land suitability categories in Prambanan Temple building in the region.

Perubahan Penggunaan Lahan dan Faktor yang Mempengaruhinya di Kecamatan Gunungpati Kota Semarang Kusrini Kusrini; Suharyadi Suharyadi; Su Rito Hardoyo
Majalah Geografi Indonesia Vol 25, No 1 (2011): Majalah Geografi Indonesia
Publisher : Fakultas Geografi, Universitas Gadjah Mada

ABSTRAK Berbagai fenomena perubahan penggunaan lahan telah terjadi dari waktu ke waktu. Perubahan penggunaan lahan yang terjadi sejalan dengan semakin meningkatnya pertambahan jumlah penduduk yang secara langsung berdampak pada kebutuhan terhadap lahan yang semakin meningkat. Kecamatan Gunungpati adalah wilayah bagian Kota Semarang yang berada di pinggir selatan dari Kota Semarang yang cenderung bersifat agraris. Sejak di pindahkannya kampus Universitas Negeri Semarang (UNNES) dari Kecamatan Gajahmungkur ke Kecamatan Gunungpati Tahun 1990, Kecamatan Gunungpati mulai mengalami perubahan penggunaan lahan, dari penggunaan lahan pertanian berubah menjadi penggunaan lahan non pertanian. Penelitian ini bertujuan untuk perubahan mengkaji luas dan bentuk penggunaan lahan tahun 2008 dan mengetahui faktor yang mempengaruhinya.Penelitian ini menggunakan pendekatan analisis peta digital dan analisis statistik. Analisis peta digital dengan menggunakan sistem informasi geografis yang dilakukan dengan cara tumpang susun peta penggunaan lahan hasil interpretasi citra tahun 1994 dan tahun 2008 untuk memperoleh perubahan lahan. Untuk memperoleh faktor yang mempengaruhi perubahan lahan dengan cara analisis statistik korelasi antara variabel bebas perubahan lahan Kecamatan Gunungpati tahun 2008 dengan variabel pengaruh yaitu jarak tiap kelurahan dengan pusat aksesibilitas, Pertambahan penduduk, penduduk pendatang, Proporsi penduduk yang bekerja di sektor non pertanian. Unit analisis yang digunakan adalah kelurahan.Perubahan penggunaan lahan di Kecamatan Gunungpati dari tahun 1994 hingga tahun 2008 terjadi bervariasi, ada yang mengalami peningkatan dan ada yang menunjukkan pengurangan luas penggunaan lahan. Untuk luas lahan yang bertambah yaitu lahan permukiman sebesar 1311,28 ha (21,84%),dan luas lahan jasa/komersil 60.43 ha (1,00%). Luas penggunaan lahan yang berkurang diantaranya penggunaan lahan kebun campur sebesar 2766,71 ha (46,09%), luas penggunaan lahan sawah sebesar 1121,44 ha (18,68%), luas lahan tegalan sebesar 743,22 ha (12,38%). Hasil analisis statistik korelasi menunjukkan hanya penduduk pendatang dan jarak aksesibilitas yang mempengaruhi perubahan penggunaan lahan di Kecamatan Gunungpati secara signifikan, hal ini terjadi karena hampir semua penduduk pendatang bertujuan untuk membangun rumah yang lebih murah dan luas serta pada umumnya bekerja di sektor non pertanian, sehingga bagi pendatang kebutuhan akan lahan permukiman makin luas yang berakibat pada perubahan penggunaan lahan.ABSTRACT Some phenomenons of land use changes have been happening over time. Land use changes have occurred in the areas, were increasy of population, have influenced need path of land. The Gunungpati Subdistrict is one of regions in the Semarang Municipality situated at the southern part of Semarang Municipality that tends to be agrarian areas. Since moved location of campus State University of Semarang (UNNES) from the Gajahmungkur Subdistrict to Gunungpati Subdistrict of in 1990, the Gunungpati Subdistrict has started to change its land use, that was from agricultural land use changed to be non agriculture land use. This study was conducted to discuss the distribution and the form of land use change and to know its influencing factors.In this research uses approach of digital map analysis and statistical analysis. Digital Map analysis wasdone by using geographical information system sefeware which conducted by joining with others to overlay map of land use result of year image interpretation 1994 and year 2008 to obtain land use change. Analysis factor influencing land use change wasdone by statistical analysis of correlation between independent variable of land use change Subdistrict of Gunungpati in year 2008 with influence variable these ase distance of center distance of each village with accessibility, population growth, migrants, and The proportion of residents who work in non-agricultural sector. The unit of analysis used is subdistrict.Land use change in Gunungpati Subdistrict has occurred from 1994 to 2008 of variaous, which happened to in increased and decreased of in land use. to increase of land use that is setlement was occurred 1311,28 ha (21,84%) and 60.43 ha ( 1,00%) for service/commercial land use. whereas the decreased of wide was occurred 2,776.71 ha (21.84%) in mixing plantation, 1,121.44 ha (18,68%) in farming out, 743.22 ha (12.38%) in dry fielding. The result of statistical analysis of correlation showed that it were only the variables of and center distance of each village with accessibility that influenced significantly to the land use change in the Gunungpati subdistrict, because it was nearly all of migrants wanted to build the cheaper and house there. and also in non agricultural occupation, so that requirement of setlement land use will more and more wide causing of land use change.

Pengaruh Jumlah Kelas dan Skema Klasifikasi terhadap Akurasi Informasi Penggunaan Lahan Hasil Klasifikasi Berbasis Objek dengan Teknik Support Vector Machine di Sebagian Kabupaten Kebumen Provinsi Jawa Tengah Aria Jaka Dwiputra; R. Suharyadi; Projo Danoedoro
Majalah Geografi Indonesia Vol 30, No 2 (2016): Majalah Geografi Indonesia
Publisher : Fakultas Geografi, Universitas Gadjah Mada

Simulasi Penggunaan Lahan dan Transportasi Massal untuk Pemodelan Pelayanan Jalan di Koridor Jalan Godean Okta Fajar Saputra; M. Pramono Hadi; Suharyadi Suharyadi
Majalah Geografi Indonesia Vol 31, No 2 (2017): Majalah Geografi Indonesia
Publisher : Fakultas Geografi, Universitas Gadjah Mada

AbstrakRendahnya tingkat pelayanan jalan menjadi salah satu permasalahan yang ada di Koridor Jalan Godean. Permasalahan tersebut dapat di atasi dengan pengendalian penggunaan lahan serta penyediaan angkutan massal. Penelitian ini dilakukan untuk memodelkan tingkat pelayanan jalan jika terjadi perubahan penggunaan lahan sesuai dokumen Rencana Detail Tata Ruang (RDTR) serta pemodelan jika dilakukan pembangunan angkutan massal. Metode yang digunakan dalam penelitian ini yaitu metode kuantitatif. Metode kuantitatif digunakan untuk menghitung nilai VCR (Volume - Capacity Ratio) eksisting, nilai VCR dengan pemodelan pembangunan sesuai RDTR, ketentuan nilai intensitas bangunan ideal, dan nilai VCR dengan pemodelan pembangunan angkutan massal. Hasil penelitian menunjukkan bahwa tingkat pelayanan jalan pada kondisi eksisting masih sangat rendah dan jauh dari kondisi ideal. Kondisi ini diperakan sama dengan yang terjadi di masa mendatang, bahkan tingkat pelayanan jalan di sebagian segmen jalan akan semakin menurun. Potensi volume kendaraan tidak dapat ditampung oleh ruas jalan yang ada. Ketentuan intensitas bangunan perlu diturunkan sebesar 44,5% di segmen 2 dan sebesar 74,9% di segmen 4 dari nilai koefisien nilai bangunan (KLB) yang sudah direncanakan. Selain menurunkan intensitas bangunan, tingkat pelayanan jalan dapat ditingkatkan dengan pembangunan angkutan massal. Hasil pemodelan menggunakan angkutan massal menunjukkan bahwa moda transportasi yang masih memungkinkan untuk dibangun di Koridor Jalan Godean yaitu monorail dan trem dengan model jalur trem tidak eksklusif. Namun, jika pembangunan angkutan massal yang dipilih berupa trem, maka masih diperlukan penurunan ketentuan intensitas bangunan sekitar 37,8% di segmen 2 dan sekitar 68,78% di segmen 4 dari nilai KLB yang sudah direncanakan. AbstractThe low road service of Godean Corridor has become problematic. Since this problem can be dealt with by controlling land use and providing feasible mass transportation, this research aimed to model the level of road service if the land use change occurred in line with the Detailed Spatial Plan (DSP) and in the case of mass transportation development. The research used a quantitative method to calculate the existing Volume-Capacity Ratio (VCR), the VCR in DSP-based development model, the prerequisites for ideal building intensity, and the VCR in mass transportation-based development model. The results showed that the current road service was very low and far from ideal. This condition was estimated to persist in the future. The road services in some segments were also estimated to decline continuously. The current road could not accommodate the existing and potential of the traffic volume. The stipulation of building intensity has to be reduced by 44.5% in segment 2 and 74.9% in segment 4 from the previously planned building value coefficient. Aside from reducing the building intensity, the road service can also be increased by developing mass transportation. The results of mass transportation modeling showed that the feasible modes of transportation on the corridor were monorail and tram with non-exclusive tramway model. However, if the selected transportation is tram, then the building intensity has to be reduced by 37.8% in segment 2 and 68.78% in segment 4 from the predefined building value coefficient.

Kombinasi Indeks Citra untuk Analisis Lahan Terbangun dan Vegetasi Perkotaan Iswari Nur Hidayati; R. Suharyadi; Projo Danoedoro
Majalah Geografi Indonesia Vol 32, No 1 (2018): Majalah Geografi Indonesia
Publisher : Fakultas Geografi, Universitas Gadjah Mada

Lahan terbangun di perkotaan dan area vegetasi menjadi hal yang sangat menarik untuk dikaji. Apalagi dinamika penggunaan lahan di perkotaan yang sangat cepat berubah. Berbagai metode dikembangkan untuk ekstraksi lahan terbangun di perkotaan, mulai dari klasifikasi multispektral, object based approach, hingga penelitian berbasis indeks. NDBI menjadi salah satu indeks pioner untuk ekstraksi lahan terbangun perkotaan dengan menggunakan saluran SWIR. Pengembangan indeks lahan terbangun ini masih perlu dikembangan untuk citra yang tidak mempunyai panjang gelombang SWIR. Tujuan penelitian ini adalah merumuskan kombinasi saluran terbaik dalam ekstraksi lahan terbangun dan area vegetasi serta menghitung kepadatan bangunan dan kerapatan vegetasi berbasis indeks. Penelitian ini menggunakan Citra Worldview-2 yang diperoleh dari Digital Globe Foundation untuk ekstraksi lahan terbangun dan kerapatan vegetasi. Normalized difference index digunakan sebagai formula dalam pembuatan indeks. Pemanfaatan semua saluran spektral dalam citra Worldview-2 digunakan untuk ekstraksi lahan terbangun dan kepadatan bangunan di perkotaan dengan PCA sebagai metode untuk penggabungan delapan saluran dalam Worldview-2. Saluran NIR 1 dan NIR 2 yang digabungkan dengan Saluran Merah menjadi pilihan untuk ekstraksi vegetasi. Proses trial dan error mewarnai pemilihan kombinasi saluran yang digunakan dan treshold yang digunakan untuk analisis biner dalam membedakan lahan terbangun dan non lahan terbangun serta area vegetasi dan area non vegetasi. Pemanfaatan unique identification (UID) digunakan untuk pembuatan grid berbasis raster dalam perhitungan kepadatan bangunan dan kerapatan vegetasi. Hasil penelitian menunjukkan bahwa indeks yang dibangun dengan PC2 dan NIR 1 serta PC2 dan NIR 2 mempunyai akurasi tinggi yaitu 94,43% untuk bangunan dan kombinasi indeks dari NIR1_Red mempunyai akurasi optimal yaitu 99,51% dan NIR2_Red mempunyai akurasi 92,87 untuk ekstraksi data vegetasi. Urban phenomenon becomes a very interesting thing to be studied. The urban land use, land conversion, urban green space, are rapidly changing. Various methods were developed for urban built-up data extraction, such as multispectral classification, object-based approach, and index-based research. NDBI became one of pioneer indices for urban-built urban land extraction using SWIR band. The development of this built-up index is still required for images that do not have SWIR wavelengths. The study objectives were to select the best methods for built-up land and vegetation extraction and to calculate building density and index-based vegetation density. Worldview-2 image obtained from Digital Globe Foundation tested for built-up land data extracting and vegetation density analyzing. Normalized difference index formula is applied for combining and setting built-up land and vegetation indexes. Merger of Worldview-2 spectral imagery were using PCA method for extracting built-up land and calculating building density. Combining eight bands into eight new images that have different information from original images was done by PCA method. NIR 1, NIR2, and Red bands are the perfect choice for vegetation extraction because near infrared characteristics have high reflections on vegetation. Selection of band combinations and selection of threshold values through trial and error processes to perceive the best index combinations and reasonable threshold values. Binary analysis is particularly useful for separating the built-up and non-built-up areas as well as vegetation and non-vegetation. The Unique identification (UID) technique used in estimating built-up and vegetation density from precisely classified images provided better and accurate assessment of built-up and vegetation density. The results show that the built-up index involving PC2_NIR 1 and PC2_NIR 2 for the urban built land research achieved an optimal accuracy of 94, 43%. The best accuracy for vegetation data extraction was obtained from the combined NIR1_Red index with 99,51% and NIR2_Red values with an overall accuracy of 92,87%.

Penyusunan Basis Data Spasial Fasilitas Bangunan Gedung bagi Penyandang Disabilitas (Universitas Gadjah Mada Menuju Kampus Inklusi) R. Suharyadi; Iswari Nur Hidayati; Wuri Handayani
Majalah Geografi Indonesia Vol 34, No 1 (2020): Majalah Geografi Indonesia
Publisher : Fakultas Geografi, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/mgi.50199

Sebagai universitas terkemuka di tanah air, Universitas Gadjah Mada harus siap menjelma sebagai kampus inklusi. Artinya, kampus yang ramah terhadap penyandang diasbilitas. Untuk menjadi kampus inklusi, maka pengelola kampus harus menyediakan fasilitas yang ramah terhadap penyandang disabilitas. Untuk itu penyusunan database spasial bangunan Gedung dengan informasi fasilitas penyandang disabilitas perlu diwujudkan. Basis data yang disusun akan bersumber dari data penginderaan jauh, dan memanfaatkan fasilitas sistem informasi geografis untuk pemanfaatan data spasial. Tujuan penelitian adalah (1) inventarisasi dan menyusun basis data bangunan gedung dan bangunan fasilitas untuk penyandang disabilitas di Kampus Universitas Gadjah Mada, (2) memberikan rekomendasi penyediaan bangunan fasilitas untuk penyandang disabilitas kampus UGM. Interpretasi visual digunakan sebagai metode untuk ekstraksi bangunan Gedung di UGM. Citra penginderaan jauh yang digunakan berupa mosaic foto udara format kecil yang dipotret dengan menggunakan wahana tanpa awak. Survey lapangan dilakukan dengan cara sensus pada seluruh bangunan Gedung di kampus UGM. Penyusunan basis data spasial menggunakan fasilitas sistem informasi geografi. Hasil penelitian berupa data base spasial bangunan Gedung dan bangunan fasilitas untuk penyandang disabilitas di kampus UGM. Atribut yang menyertadi data base tersebut antara lain aksesibilitas bagi penyandang disabilitas berupa ramp atau lift, guiding block, dan fasilitas toilet.

Determination of the spatial variability of soil nitrogen content based on reliefs in an apple orchard, Batu, Indonesia Kurniawan Sigit Wicaksono; S Suratman; R Suharyadi; Sigit Heru Murti
Journal of Degraded and Mining Lands Management Vol 6, No 3 (2019)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2019.063.1713

A better understanding of the spatial variability of soil nitrogen content is required to achieve the best management in precision agriculture. The purpose of this research was to determine the spatial variability of soil nitrogen content based on reliefs in an apple orchard. The research was conducted from March to August 2018 in a 1210 hectare of apple orchard, Batu, East Java Province, Indonesia. Soil samples were taken using the stratified random sampling method. Data were processed by the GLM Univariate 5% method with SPSS 16.0. The results of the statistical analysis show that the Sig value and coefficient of determination were 0.000 and 0.846, respectively. This condition means that soil nitrogen content was significantly different in various reliefs. The apple orchard was divided into 10 (ten) zones with different soil nitrogen content in various relief. It is crucial as a basis for implementing precision agriculture in apple orchards, meaning that the determination of fertilizer dosage is adjusted to the soil nitrogen content in the various zones. This study concluded that relief significantly affects the spatial variability of soil nitrogen content.

WEB-BASED SPATIAL INFORMATION SYSTEM TO SUPPORT COLLABORATIVE LAHARS DISASTER MANAGEMENT Jumadi Jumadi; R. Suharyadi; Arbind M. Tuladhar
Indonesian Journal of Geography Vol 44, No 1 (2012): 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.2392

After the 2010 eruption of Merapi, some areas at Sleman Regency experienced with laharsdisaster. Many agencies have their own responsibility to overcome the problems incollaborative work. Nevertheless, it is lack of spatial/GIS data support on their decisionmaking as well as on their communications. The main objective of this research was todevelop spatial information system to support collaborative lahars disaster managementespecially for response and recovery phase of the impact on infrastructures at SlemanRegency. Questionnaires and semi-structured interviews were used to investigate their needof the spatial data and the data availability. Basically respondents agreed that spatial datais important in their communication and decision making support. Specifically, theapplication is utilized with specific spatial analysis tools to support decision makingprocesses. The users’ evaluation of the prototype resulted that almost all of respondents givea good mark to the system.

Exploring Spectral Index Band and Vegetation Indices for Estimating Vegetation Area Iswari Nur Hidayati; R. Suharyadi; Projo Danoedoro
Indonesian Journal of Geography Vol 50, No 2 (2018): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Visual analysis and transformation of vegetation indices have been widely applied in studies of vegetation density using remote sensing data. However, visual analysis is time intensive compared to index transformation. On the other hand, the index transformation from medium resolution imagery is not fully representative for urban vegetation studies. Meanwhile, the spectral range of high-resolution imagery is usually limited to visible wavelengths for the image transformation. Worldview-2 imagery provides a new breakthrough with a high spatial resolution and supports various spectral resolutions. This study aims to explore the spectral value of the Worldview-2 image index for estimation of vegetation density. Normalized indices were made for 56 band combinations and Otsu thresholding was implemented for the threshold selection to separate vegetation and non-vegetation areas. This thresholding was done by minimizing classes’ variances between two groups of pixels which are distinguished by system or classification. The image binarization process was performed to differentiate between vegetation and non-vegetation. For the accuracy testing, a total of 250 samples was produced by a stratified random sampling method. Our results show that the combination of indices from red channel, red-edge, NIR-1, and NIR-2 provides the best accuracy for semantic accuracy. Vegetation area extracted from the index was then compared with the results of the visual analysis. Although the index results in area difference of 2.32 m2 compared to visual analysis, the combination of NIR-2 and red bands can give an accuracy of 96.29 %.

High Resolution Remote Sensing Data Application to Assess Parking Space in Urban Area Suharyadi Suharyadi; Iswari Nur Hidayati
Indonesian Journal of Geography Vol 52, No 3 (2020): 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.57604

The increase population in a large city such as Yogyakarta has caused an increase in the number of cars. The large number of cars created another problem of limited parking space in the city. Currently, there is a lack of a spatial approach to solve the problem of parking space. With the availability of high-resolution remote sensing data, the business area in the city can be mapped accurately. This study aims to map the business zone in Yogyakarta City and to estimate the needs of parking space for trade, service, and education centers in Yogyakarta City using remote sensing imagery. The business zone really needs a parking area because many people as producers for loading goods and consumers buy at these stores. The method used to estimate the vehicle parking space requirement is a combination of field surveys and the interpretation of remote sensing images. The field survey was used to obtain the characteristics of the visitors, and the volume of filled parking space. Meanwhile, remote sensing imagery was used to obtain spatial data of land use. The parking requirements of commercial buildings are 2.25-3.15 spaces per 100 m2, offices are 1.0-1.60 spaces per 100 m2, hotels are 0.25-0.35 spaces for each sleeping room, theaters are 0.06 spaces for every seat, hospitals are 0.60 spaces for each bed, and schools are 0.10 space for every student. This paper demonstrated the use of remote sensing to solve urban vehicle problems, and such information can be used for city planning.

Co-Authors Achmad Hindasyah AGUNG BUDI SUSANTO Ajeng Permata Suri Amalia, Richa Arbind M. Tuladhar Aria Jaka Dwiputra Barandi Sapta Widartono Barandi Sapta Widartono Dahlan Supriatna Dewi Miska Indrawati Dwi Sarwani Sri Rejeki Entis Sutisna Erwien Christianto Evi Maria Farkhan Mubarok Gregorius Eduard D. P. Gunadi Harry Sulistyo Indra Laksana Iswari Nur Hidayati Jumadi Jumadi Kartika Hudiono, Rini Kurniawan Sigit Wicaksono Kusrini Kusrini M. Pramono Hadi M. Pramono Hadi Mujiyanto Mujiyanto Mukhlishoh Syaukati Robbi Nining Suharwati Okta Fajar Saputra Prima Widayani Projo Danoedoro Projo Danoedoro Projo Danoedoro Purwanto Putra, Erwin Hendra R Agung Pangarso R. Rijanta S Suratman Saputra, Irwansyah Sigit Heru Murti Siti Muniroh Su Rito Hardoyo Supratikno, Agus Sutikno Sutikno Taswanda Taryo Tri Baskoro Tunggul Satoto Triwibowo Ambar Garjito Ulinnuha, Silviya Izza Wahyudi, Hangge Daud Winarso Martyas Edi, Sri Wuri Handayani Yudhistira Tri Nurteisa

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