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Evaluasi Pemanfaatan Citra Tegak Satelit Resolusi Tinggi untuk Percepatan Pembuatan Peta Blok Pajak Bumi dan Bangunan (PBB-P2) secara Partisipatif di Desa Triharjo, Kabupaten Bantul, DIY Aristalindra, Fauzia; Santosa, Purnama Budi; Diyono, Diyono; Subaryono, Subaryono
Jurnal Geospasial Indonesia Vol 3, No 1 (2020): June
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jgise.55788

Abstract

The recent advances of remote sensing technology development can support government needs including cadastral related purposes. One of the purposes is to supply geospatial data especially land parcel maps for land and tax value inventory. This research tries to evaluate the utilization of Quickbird Satellite image for updating land and building (PBB-P2) block maps in Bantul Regency, Yogyakarta Province of Indonesia. The image was recorded in 2014 with resolution of 0.6 meter and has been ortho-rectified. Evaluation is conducted by analyzing the utilization of the image as the base map for deriving land parcel maps according to the Decree of Tax Director General number: KEP-533/PJ/2000. The process was firstly done by digitizing land parcel boundaries on Quickbird image to produce block maps. The process was done by the community through participatory mapping. The resulting block maps then were compared with land registration map from National Land Agency. The evaluation was focused on the accuracy of land parcel position as well as the resulting land areas. For this purpose the land registration map is regarded as the reference data. By focusing on the 51 sample data in Triharjo Village, statistical test was conducted to evaluate the accuracy of the resulting areas of the digitized land parcel map. The results show that 47 samples comply with a tolerance requirement of 10% according to the Decree of Tax Directorate number KEP-533/PJ/2000’. In addition, the t-test analysis with a significant level of 5% indicates that there is no significant difference of area between the digitized land parcel data with land registration map. Based on the results, it is concluded that ortho-rectified QuickBird image is sufficient for producing of land and building tax (PBB-P2) block maps.
Visualisasi Data Statistik Kabupaten Banyumas Menggunakan Peta Interaktif Hanif Ilmawan; Purnama Budi Santosa
Geoid Vol 16, No 2 (2021)
Publisher : Department of Geomatics Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24423998.v16i2.7842

Abstract

Penyajian data statistik mengalami perkembangan seiring dengan kemajuan teknologi. Data statistik tidak hanya disajikan dalam bentuk tabel dan grafik saja, tetapi juga divisualisasikan menggunakan peta. Bahkan saat ini juga digunakan peta interaktif berbasis online untuk lebih memudahkan pengguna dalam mengakses dan mengeksplorasi data yang ada. Hal ini merupakan salah satu bentuk pelaksanaan dari Pasal 20 UU No. 16 Tahun 1997 yang mengatur bahwa penyelenggara kegiatan statistik wajib memberikan kesempatan yang sama kepada masyarakat untuk mengetahui dan memperoleh manfaat dari data statistik yang tersedia. Salah satu perangkat lunak yang dapat dimanfaatkan untuk melakukan visualisasi data statistik adalah StatPlanet Plus. Perangkat lunak ini bersifat free (versi offline dan non komersial). StatPlanet Plus mampu menghasilkan peta interaktif dengan menggunakan bahasa pemrograman Flash.  Penyajian data statisik menggunakan peta interaktif dapat membantu pengguna untuk memahami data dan mengungkap wawasan baru (Di Biase, 1990; Roberts, 2008). Peta interaktif juga berfungsi sebagai media komunikasi pemilik data dengan pengguna data (Roth, 2013). Hasil dari kegiatan ini adalah sebuah purwarupa peta interaktif untuk visualisasi data statistik Kabupaten Banyumas. Peta interaktif ini dapat menjadi alternatif bagi Badan Pusat Statistik Kabupaten Banyumas dalam melakukan publikasi data statistik, sehingga memudahkan masyarakat umum dalam mengakses data statistik. The development of technology affects the way people in presenting statistical data. Statistical data are not only presented in the form of table, chart, and diagram, but also visualized by using map. Moreover, interactive map is now used to make data access and exploration become far easier. This is an implementation of Law of the Republic of Indonesia Number 16 of 1997 which states that the conductor of statistical activities has to give a same opportunity for people to get benefits from available statistical data. One of softwares that can be used to visualize the statistical data is StatPlanet Plus. This software is free for offline and non commercial use. StatPlanet Plus can make an interactive map by using Flash script.Presenting statistical data using interactive map can help users to understand data and discover new insights (Di Biase, 1990; Roberts, 2008). Interactive map also used as a media for data owner to communicate with data users (Roth, 2013). The result of this study is a prototype of interactive map for visualizing the statistical data of Banyumas Regency. This interactive map is an alternative for Badan Pusat Statistik of Banyumas Regency to publish statistical data, so it will facilitate people to access the statistical data.
DESAIN SISTEM INFORMASI BENCANA KOTA SEMARANG UNTUK PENGELOLAAN DATA BENCANA Theresia Niken Kurnianingsih; Purnama Budi Santosa
Elipsoida : Jurnal Geodesi dan Geomatika Vol 2, No 02 (2019): Volume 02 Issue 02 Year 2019
Publisher : Department of Geodesy Engineering, Faculty of Engineering, Diponegoro University,Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/elipsoida.2019.4921

Abstract

Kota Semarang memiliki kondisi topografi yang bervariasi seperti dataran rendah, dataran tinggi, daerah perbukitan dan garis pantai yang dapat berpotensi terhadap berbagai bencana alam yang menimbulkan kerugian. Bencana yang sering terjadi di Kota Semarang, yaitu bencana banjir rob, tanah longsor, banjir, dan kekeringan perlunya sistem informasi bencana untuk mengelola data bencana dengan baik di dalam basisdata. Sistem informasi yang terintegrasi menyajikan peta bencanaterdiri dari bencanabanjir rob, tanah longsor, banjir, kekeringan, dan multi bencana yang berbasis website, sehingga masyarakat bisa mengakses informasi kebencanaan dengan mudah. Data yang digunakan berupa data spasial ancaman bencana, bangunan rumah yang terkena dampak bencana pada kelas bencana tinggi dan batas administrasi Kota Semarang. Metodologi penelitian yang digunakan berorientasi objek untuk tahapan analisis dan desain menggunakan diagram Unified Modeling Language (UML). Rancangan sistem dibangun menggunakan aplikasi tidak berbayar, yaitu QGIS sebagai aplikasi pengolah data spasial, MySQL sebagai aplikasi basisdata, dan bahasa pemrograman PHP. Visualisasi data spasial dilakukan di atas bidang peta onlineOpenStreetMap.Hasil dari penelitian ini adalah desain sistem informasi bencana kota Semarang yang dinamakan SINAN, yaitu sebuah Sistem Informasi Ancaman Bencana untuk mengelola dan menyajikan data ancaman bencana di Kota Semarang. Desain sistem informasi ini akan dikembangkan menjadi Sistem informasi bencana yang bertujuan untuk mempermudah masyarakat dan stakeholder dalam mendapatkan informasi bencana dengan teknologi berbasis geospatial. 
EVALUASI KUALITAS DATA SPASIAL DALAM KEGIATAN PEMUTAKHIRAN DATA PBB-P2 DI KABUPATEN PACITAN Yoga Kencana Nugraha; Purnama Budi Santosa
Elipsoida : Jurnal Geodesi dan Geomatika Vol 3, No 01 (2020): Volume 03 Issue 01 Year 2020
Publisher : Department of Geodesy Engineering, Faculty of Engineering, Diponegoro University,Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (841.41 KB) | DOI: 10.14710/elipsoida.2020.7760

Abstract

Dengan dukungan perkembangan teknologi serta ketersedian data spasial yang semakin mudah diperoleh telah menyebabkan pemanfaatan data spasial meningkat sangat cepat untuk berbagai keperluan. Salah satunya dimanfaatkan oleh instansi daerah untuk menjalankan administrasi Pajak Bumi dan Bangunan Perkotaan dan Pedesaan (PBB-P2). Penelitian ini bertujuan untuk mengevaluasi dan mengukur tingkat kualitas data spasial PBB-P2 yang dihasilkan dengan cara mengidentifikasi objek pajak menggunakan citra satelit tegak resolusi tinggi (CSRT-Ortho) yang diperoleh dari Ina-SDI Geoportal. Tahapan evaluasi kualitas data spasial PBB-P2 dilakukan berdasarkan standar toleransi perbedaan luas yang disusun oleh Direktorat Jenderal Pajak, serta uji tingkat kualitas data spasial yang dibuat oleh Badan Informasi Geospasial (BIG) dengan menggunakan metode polygon near distance, polygon area, dan polygon circularity ratio. Secara umum uji tingkat kualitas data spasial dilakukan dengan membandingkan sampel objek pajak hasil kegiatan pemutakhiran data spasial PBB-P2 tahun 2019 terhadap bidang tanah dalam peta pendaftaran tanah BPN sebagai objek referensi. Teknik sampling yang digunakan adalah purposive sampling dengan jumlah sampel uji sebanyak 293 objek pajak yang dihitung berdasarkan rumus slovin. Dari hasil uji akurasi posisi dan kualitas geometri diperoleh nilai rata-rata sebesar 3,687 m dan 0,050. Sedangkan uji kualitas luas menghasilkan nilai rata-rata sebesar 67,789 m2 dengan persentase objek pajak yang masuk dalam toleransi perbedaan luas adalah sebesar 68,26%. Secara keseluruhan hasil evaluasi data spasial PBB-P2 hasil identifikasi objek pajak melalui citra satelit menunjukan tidak adanya perbedaan data yang signifikan antara sampel objek uji terhadap objek referensi. Dari hasil uji kualitas data spasial menunjukan besarnya persentase objek pajak yang layak digunakan dalam menentukan kebijakan tekait penentuan besarnya pajak karena telah memenuhi standar toleransi luas dan berada dalam kategori kualitas sangat baik, baik dan normal adalah sebesar 67,23%.
Analisis Spasial Bencana Longsor Bukit Telogolele Kabupaten Banjarnegara Menggunakan Data Foto Udara UAV Ruli Andaru; Purnama Budi Santosa
Jurnal Nasional Teknologi Terapan (JNTT) Vol 1, No 1 (2017): NOVEMBER
Publisher : Penelitian dan Pengabdian Kepada Masyarakat Sekolah Vokasi Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1907.479 KB) | DOI: 10.22146/jntt.34089

Abstract

Spatial data is a very important role in emergency command and disaster management, before, during or post disasters. When a disaster occurs, the currently geospatial information is very needed: where the center of the disaster, the area affected, the volumetric of the landslide, what facilities are damaged, and determine the location of temporary shelters. This study examines and analyze the landslide in Banjarnegara 2014 before and after the landslide using Peta Rupa Bumi Indonesia (RBI) and the UAV Aerial Photos (Unmanned Aerial Vehicle). Data before the landslide obtained from RBI, while data after landslide obtained by performing aerial photography using fixed-wing UAV in December 2014 and August 2015. These aerial photos processing with photogrammetry to produce digital orthophoto and DEM (Digital Elevation Model). Orthophoto and DEM data is used to perform geospatial analysis in both 2D and 3D. 3D analysis obtained from the extraction of DEM elevation map data values appearance of the earth (RBI) and the UAV Aerial Photo. Analysis was conducted on the four components: contouring, terrain profile/cross section, slope/gradient, and volumetric (cut and fill). Readiness management of geospatial data and information is necessary to minimize losses and speed up the process of rehabilitation and reconstruction in the areas affected by the disaster. With this spatial analysis, the estimated of volume of landslides, mapping the facility affected, and the manufacture of the soil profile (high landslide, landslide affected area) can be performed quickly and accurately.
The spatial suitability evaluation of networked minimarket locations according to Bupati Bantul Regulation No. 35/2013 Yuri Gama Rivandi; Purnama Budi Santosa
Jurnal Geospasial Indonesia Vol 1, No 1 (2018): June
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jgise.38238

Abstract

The Regulation of Bupati Bantul Number 35/2013 regulates the establishment of networked minimarket (mini market berjejaring) in Bantul Regency. This study was conducted to assess the suitability between the regulation with the real condition by emphasizing the spatial aspects after 5 years of the implementation of the regulation. This study concerns with the criteria in the regulation about the distance of the mini markets from the traditional markets and the class of the road. The data for cunducting the spatial analysis include road vector data, administrative boundaries, locations of traditional market and networked minimarket, attribute data for networked minimarket, and satellite images of Bantul Regency. The data then was analyzed using proximity and network analysis to know suitability of networked minimarket locations with the regulation. Proximity analysis was done using buffer operation, meanwhile network analysis was done using operation of OD Cost Matrix. Result obtained from the proximity analysis of the overall parameters show that there is only one minimarket in accordance with the regulation. In the other hand, , if the network analysis is included, then the number of minimarkets that comply with the regulation increase to three minimarkets. To conclude, most of the locations of the netwoked minimarkets in Bantul do not comply with the Bupati Bantul Regulation Number 35/2013.
The use of Location Based Instagram Data for Tourism Potential Analysis in Kabupaten Gunung Kidul Muhammad Irham Akbar Hasri; Purnama Budi Santosa
Jurnal Geospasial Indonesia Vol 1, No 1 (2018): June
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jgise.38469

Abstract

Gunungkidul Regency is one of five regencies in Yogyakarta Province which is rich of natural tourism destination objects. Each tourism object has its own potential and characteristic that distinguishes one with other tourism objects. However, the tourism potency have not been exposed to public properly, and the local government has not sufficiently use the data of visitors as the basis for planning and development of tourism objects in Gunungkidul Regency. This research tries to evaluate the use of BIG DATA, especially social media data, to analyze the tourism potency based on the public opinions and visits. For this purpose, Instagram data was utilized as the main data for the analysis. The data was collected between December 18, 2017 to February 3, 2018 using Instagram API. The data then was pre-processed to clear or filter the duplication data, to filter the data based on selective location or study area namely Gunungkidul Regency, as well as to filter the data which match with the topic of the research namely “tourism”. Some analysis then were conducted, namely spatial analysis, statistical analysis, and caption analysis. The spatial and statistical analysis were aimed to find spatial pattern of tourists visits at several locations in the form of spatial density of each tourism destinations with respect to temporal aspect. Analysis of captions is done by filtering Instagram data by using some keywords that can indicate tourism potency. Data was visualized using Carto Builder. Results show that some effort is needed to utilize the Instagram data for this purpose. The data is efficient and effective to be used to visualize spatial-temporal pattern of visitors at tourism destinations, as well as to understand tourism destinations objects potency in Gunungkidul Regency. However, this analysis cannot be done in realtime due to a limitation in collecting data from Instagram API.
Development of Spatio-Temporal Database Prototype For Management of 4-Dimensional Cadastre Object In Indonesia Miranty Noor Sulistyawati; Trias Aditya; Purnama Budi Santosa
Jurnal Geospasial Indonesia Vol 1, No 2 (2018): December
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jgise.41680

Abstract

The dynamics of the Indonesian population has increased causing the need for cadastral objects to increase. 2D and 3D cadastral objects change over time. Cadastral objects have spatial and juridical data changes every day. These changes can be caused by the transfer of rights, changes of rights, split and merging cadastral objects. Changes are recorded and stored as a history of cadastral objects (4-dimensional cadastre). Historical data on cadastral objects can be categorized as one of the big data in the cadastre sector, based on the frequency of recording data. The data can be used to track changes in cadastral objects so that they can avoid disputes. Spatial data in this case is very vulnerable data to cause disputes if the shape, position and size do not match the conditions in the field, and need special attention in integrating with the juridical data. This paper aims to identify methods for storing spatial data of 4D cadastral objects that are suitable for Indonesia. The importance of storing cadastral objects and their history causes researchers and cadastre experts in the world to formulate international standards in managing spatial and juridical data along with a history of cadastral objects (4D cadastre). LADM is an international standard conceptual model (ISO 19152) which can show the legacy of a cadastral object expressed in RRR (Rights, Restriction and Responsibility). In LADM, there is a VersionedObject class that represents various versions or a history of spatial units, object registration, owner and administration. Several studies conducted by researchers in the world were compared in this paper to find methods for applying LADM and VersionedObject classes. That methods were implemented in this paper to design a database of spatio-temporal 4D cadastre. Finally a prototype of spatial-temporal database will be produced to manage 4D cadastral objects.
Estimating Land Value Change Post Land Consolidation of Gadingsari Village, Bantul Regency, Special Region of Yogyakarta, Indonesia Agatha - Astrisele; Purnama Budi Santosa
Jurnal Geospasial Indonesia Vol 2, No 2 (2019): December
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jgise.51309

Abstract

Land is a resource with limited availability, but has an ever-increasing demand. Land Consolidation is a realignment activity which can be an alternative in planning a regional development. Land Consolidation in Gadingsari Village is a Bantul Regency government program implemented in 2017 located in Nanggulan, Patihan and Wonoroto Villages involving 200 land parcels , with 172 participants for land consolidation and 111,467 m2 of land. Land Consolidation produces land that has good accessibility and regularity of land parcels so it may triggers an increase in land value. An increase in land value can be estimated by modeling the land value before and after land consolidation. One method that is often used in the modeling of land values is the multiple variable linear regression method. The method used in this study involves the price of land as the dependent variable and the independent variable, namely: (1) Road Class; (2) Distance of land parcels to the Economic Center; (3) Distance of land parcels to the Village Government; (4) Distance between land parcels to the tourist site; (5) Distance of land parcels to Health Facilities; (6) Area; (7) Distance of parcels to Main roads; (8) Distance between land parcels of land to the beach; and (9) Land Use. The model formed is then used to calculate the estimated value of land prices before and after the implementation of land consolidation. The estimated value of land produced by the land value model prior to land consolidation ranges from Rp. 11,000 to Rp. 370,000. While the estimated land value for the land value model after land consolidation ranges from Rp. 21,000 to Rp. 605,000.
Pemodelan Banjir dan Visualisasi Genangan Banjir untuk Mitigasi Bencana di Kali Kasin Kelurahan Bareng Kota Malang Zafira Nur Pratiwi; Purnama Budi Santosa
Jurnal Geospasial Indonesia Vol 4, No 1 (2021): June
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jgise.56525

Abstract

Wilayah Kelurahan Kali Kasin di Kota Malang merupakan wilayah padat penduduk yang rentan terhadap banjir. Wilayah ini hamper setiap tahun mengalami banjir, yang berdampak pada kerusakan lingkungan dan infrastruktur. Oleh karena itu, tujuan penelitian ini adalah melakukan pemodelan banjir yang disebabkan oleh luapan Kali Kasin serta melihat cakupan wilayah genangan banjir. Metode pemodelan banjir  menggunakan pendekatan hidrolika dalam mensimulasikan debit air pada setiap penggal sungai menggunakan perangkat lunak HEC-RAS, serta melakukan visualisasi daerah genangan banjir serta area terdampak banjir menggunakan pendekan GIS. GIS juga digunakan untuk mempersiapkan beberapa data spasial yang digunakan untuk pemodelan banjir, seperti data geometri sungai, deliniasi daerah aliran sungai, serta untuk keperluan analisis spasial lainnya. Data hidrologis didapat dari pengolahan curah hujan harian pada stasiun hujan wilayah Kali Kasin. Analisis dilakukan dengan menggunakan model SCS CN pada perangkat lunak HEC-HMS untuk memperkirakan debit puncak pada sungai. Sedangkan, sumber data geometrik didapatkan dari Model Elevasi Digital dari citra ALOS PALSAR. Hasil penelitian menunjukkan bahwa pemodelan banjir dapat dilakukan untuk memvisualisasikan daerah genangan banjir di wilayah Kelurahan Bareng. Wilayah yang terdampak banjir seluas 24.225,63 m2. Hasil analisis menunjukkan ada sekitar 173 rumah yang terdampak banjir.