Pub Date : 2022-04-10DOI: 10.12962/j24423998.v17i2.7285
Ahmad Saifudin, E. Handoko
Altimetry data usually used for marine research. However, as technology develops, the spatial resolution of satellite altimetry increases so that it can be used to conduct inland water research. One of the satellite altimetry is CryoSat-2. The data used is Level 2 SAR Intermediate to determine water levels in Lake Towuti with measurement time coverage from 2011 to 2018. The method used is to compare altimetry data with in-situ data. The obtained results indicate that the CryoSat-2 altimetry satellite data can be used to determine the water level in Lake Towuti by eliminating outliner data. Kata kunci : Inland Water level, CryoSat-2, Danau Towuti Cara untuk sitasi: Saifudin, A., Handoko, E.Y. (2022). Aplikasi Data SAR-Mode Level 2 Satelit Cryosat-2 untuk Pengamatan Inland Water di Danau Towuti. Geoid, 17(2), 201-207.
通常用于海洋研究的测高数据。然而，随着技术的发展，卫星测高的空间分辨率提高，因此可以用于进行内陆水域的研究。其中一颗测高卫星是CryoSat-2。使用二级SAR中级数据来确定图乌提湖的水位，测量时间覆盖2011年至2018年。所采用的方法是将测高数据与现场数据进行比较。结果表明，CryoSat-2测高卫星数据可以通过剔除轮廓线数据来确定图乌提湖的水位。Kata kunci:内陆水位，CryoSat-2, Danau Towuti Cara untuk sitasi: Saifudin, A.， Handoko, E.Y.(2022)。应用数据sar模式2级卫星Cryosat-2在丹瑙图乌提内陆水域。大地水准面，17(2)，201-207。
{"title":"Aplikasi Data SAR-Mode Level 2 Satelit Cryosat-2 untuk Pengamatan Inland Water di Danau Towuti","authors":"Ahmad Saifudin, E. Handoko","doi":"10.12962/j24423998.v17i2.7285","DOIUrl":"https://doi.org/10.12962/j24423998.v17i2.7285","url":null,"abstract":"Altimetry data usually used for marine research. However, as technology develops, the spatial resolution of satellite altimetry increases so that it can be used to conduct inland water research. One of the satellite altimetry is CryoSat-2. The data used is Level 2 SAR Intermediate to determine water levels in Lake Towuti with measurement time coverage from 2011 to 2018. The method used is to compare altimetry data with in-situ data. The obtained results indicate that the CryoSat-2 altimetry satellite data can be used to determine the water level in Lake Towuti by eliminating outliner data. Kata kunci : Inland Water level, CryoSat-2, Danau Towuti Cara untuk sitasi: Saifudin, A., Handoko, E.Y. (2022). Aplikasi Data SAR-Mode Level 2 Satelit Cryosat-2 untuk Pengamatan Inland Water di Danau Towuti. Geoid, 17(2), 201-207.","PeriodicalId":30776,"journal":{"name":"Geoid","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48294542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-10DOI: 10.12962/j24423998.v17i1.10505
Rifqi Achmad Pratama, Yanto Budisusanto
{"title":"Analisis Tinjauan Administrasi Pertanahan Bidang Tanah Terdampak Pembangunan Jalan (Studi Kasus : Jalan Frontage Road Gedangan - Buduran, Sidoarjo)","authors":"Rifqi Achmad Pratama, Yanto Budisusanto","doi":"10.12962/j24423998.v17i1.10505","DOIUrl":"https://doi.org/10.12962/j24423998.v17i1.10505","url":null,"abstract":"","PeriodicalId":30776,"journal":{"name":"Geoid","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49131044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-10DOI: 10.12962/j24423998.v17i1.10191
Akhmad Barizil Hak, A. Cahyono, N. -
{"title":"Analisis Dan Validasi Hasil Simulasi Luapan Air Kali Kedungbener Di Kecamatan Kebumen Menggunakan Sistem Informasi Geografis","authors":"Akhmad Barizil Hak, A. Cahyono, N. -","doi":"10.12962/j24423998.v17i1.10191","DOIUrl":"https://doi.org/10.12962/j24423998.v17i1.10191","url":null,"abstract":"","PeriodicalId":30776,"journal":{"name":"Geoid","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44545732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-10DOI: 10.12962/j24423998.v17i1.10289
Citra Ayu Sekar Kinasih, H. Hidayat
: Along with increasing development due to population growth, a proper monitoring of land use is needed, one of which is through mapping the distribution of buildings. Mapping the distribution of buildings can be done by analyzing remote sensing images taken using various vehicles, one of which is the Unmanned Aerial Vehicle (UAV) which can provide very high-resolution images. However, up to now the classification process is often done by manual digitization which is considered less effective and efficient so that an automatic extraction method is needed. In this study, the Convolutional Neural Networks (CNN) method was used to overcome the challenges of building extraction using high resolution aerial photo image data in Campurejo Village, Gresik Regency using the R-CNN where this is expected to be able to help the classification process automatically by using the Mask R-CNN algorithm. input data (training data). the results of the classification are validated and tested for accuracy to produce a large-scale building distribution map, namely 1: 5000. The accuracy of the building classification results using the Mask R-CNN method was tested using a confusion matrix which resulted in a precision value of 94.78%, recall 82.63%, F1 Score 88.29% and accuracy 79.03% for region 1 and for region 2 resulted precision value 98.10%, recall 78.37%, F1 Score 87.13% and accuracy 77.20%. While the number of buildings that can be in area 1 is 2102 buildings and area 2 is 247 buildings. shows great potential to utilize the Convolutional Neural Networks (CNN) method in extracting buildings.
{"title":"Ekstraksi Data Bangunan Dari Data Citra Unmanned Aerial Vehicle Menggunakan Metode Convolutional Neural Networks (CNN) (Studi Kasus: Desa Campurejo, Kabupaten Gresik)","authors":"Citra Ayu Sekar Kinasih, H. Hidayat","doi":"10.12962/j24423998.v17i1.10289","DOIUrl":"https://doi.org/10.12962/j24423998.v17i1.10289","url":null,"abstract":": Along with increasing development due to population growth, a proper monitoring of land use is needed, one of which is through mapping the distribution of buildings. Mapping the distribution of buildings can be done by analyzing remote sensing images taken using various vehicles, one of which is the Unmanned Aerial Vehicle (UAV) which can provide very high-resolution images. However, up to now the classification process is often done by manual digitization which is considered less effective and efficient so that an automatic extraction method is needed. In this study, the Convolutional Neural Networks (CNN) method was used to overcome the challenges of building extraction using high resolution aerial photo image data in Campurejo Village, Gresik Regency using the R-CNN where this is expected to be able to help the classification process automatically by using the Mask R-CNN algorithm. input data (training data). the results of the classification are validated and tested for accuracy to produce a large-scale building distribution map, namely 1: 5000. The accuracy of the building classification results using the Mask R-CNN method was tested using a confusion matrix which resulted in a precision value of 94.78%, recall 82.63%, F1 Score 88.29% and accuracy 79.03% for region 1 and for region 2 resulted precision value 98.10%, recall 78.37%, F1 Score 87.13% and accuracy 77.20%. While the number of buildings that can be in area 1 is 2102 buildings and area 2 is 247 buildings. shows great potential to utilize the Convolutional Neural Networks (CNN) method in extracting buildings.","PeriodicalId":30776,"journal":{"name":"Geoid","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41767728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-10DOI: 10.12962/j24423998.v17i1.10451
Enjelius Silaban, Ira Mutiara Anjasmara
Deformation Modeling Predicate The Position Of The Magma Pressure Center Model Abstract: Indonesia is a tectovolcanic country with 129 active volcanoes. The existence of a volcano certainly has a positive impact, such as the area around the mountain becomes fertile and has a negative impact due to frequent disasters. One of the active volcanoes in Indonesia is Mount Sinabung. The existence of magma activity in active volcanoes causes changes in shape due to the movement and shift of the soil on the surface of the volcano which is called deformation. Deformation can be determined by terrestrial methods using theodolite, land Sipat and extra-terrestrial methods with GPS observations and processing of SAR image data using InSAR, D-InSAR, MT-InSAR processing methods which include, PS-InSAR and SBAS. This research was conducted to determine the deformation that occurs in the Sinabung volcano using the PS-InSAR method followed by modeling the position of the magma compression source using the Yokoyama model. The Yokoyama model assumes that the Earth's crust is composed of elastic spaces, and the source of the pressure is a small spherical space with hydrostatic pressure that is unidirectional and its expansion is radial. The SAR data used consists of 7 ascending acquisition images and 8 descending acquisition images on the acquisition date of October 1 to December 31, 2020. By processing the image in ascending and descending ways, the LOS velocity rate can be transformed into horizontal and vertical shift values. The results of PS-InSAR processing show that the LOS velocity rate ranges from 394.1 mm/year to 320.7 mm/year in the ascending direction and in descending direction, the LOS velocity rate ranges from -277.5 mm/year to 31.5.8 mm/year. After decomposing the LOS velocity rate, the displacement value of the PS point in the horizontal and vertical directions at the PS1 point is (0.288; -0.037) meters, the PS2 point is (0.004; 0.010) meters and the PS3 point is (0.041, -0.084) meters. So that the position of the center of magma pressure using the horizontal shift value on Mount Sinabung based on the Yokoyama model is located at coordinates
{"title":"Pemodelan Deformasi Gunung Sinabung Untuk Memprediksi Posisi Pusat Tekanan Magma Dengan Model Yokoyama Menggunakan Data Citra SAR Metode PS-InSAR","authors":"Enjelius Silaban, Ira Mutiara Anjasmara","doi":"10.12962/j24423998.v17i1.10451","DOIUrl":"https://doi.org/10.12962/j24423998.v17i1.10451","url":null,"abstract":"Deformation Modeling Predicate The Position Of The Magma Pressure Center Model Abstract: Indonesia is a tectovolcanic country with 129 active volcanoes. The existence of a volcano certainly has a positive impact, such as the area around the mountain becomes fertile and has a negative impact due to frequent disasters. One of the active volcanoes in Indonesia is Mount Sinabung. The existence of magma activity in active volcanoes causes changes in shape due to the movement and shift of the soil on the surface of the volcano which is called deformation. Deformation can be determined by terrestrial methods using theodolite, land Sipat and extra-terrestrial methods with GPS observations and processing of SAR image data using InSAR, D-InSAR, MT-InSAR processing methods which include, PS-InSAR and SBAS. This research was conducted to determine the deformation that occurs in the Sinabung volcano using the PS-InSAR method followed by modeling the position of the magma compression source using the Yokoyama model. The Yokoyama model assumes that the Earth's crust is composed of elastic spaces, and the source of the pressure is a small spherical space with hydrostatic pressure that is unidirectional and its expansion is radial. The SAR data used consists of 7 ascending acquisition images and 8 descending acquisition images on the acquisition date of October 1 to December 31, 2020. By processing the image in ascending and descending ways, the LOS velocity rate can be transformed into horizontal and vertical shift values. The results of PS-InSAR processing show that the LOS velocity rate ranges from 394.1 mm/year to 320.7 mm/year in the ascending direction and in descending direction, the LOS velocity rate ranges from -277.5 mm/year to 31.5.8 mm/year. After decomposing the LOS velocity rate, the displacement value of the PS point in the horizontal and vertical directions at the PS1 point is (0.288; -0.037) meters, the PS2 point is (0.004; 0.010) meters and the PS3 point is (0.041, -0.084) meters. So that the position of the center of magma pressure using the horizontal shift value on Mount Sinabung based on the Yokoyama model is located at coordinates","PeriodicalId":30776,"journal":{"name":"Geoid","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41554931","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-10DOI: 10.12962/j24423998.v17i1.10406
Yoga Arif Rohman, Danar Guruh Pratomo, Khomsin Khomsin
{"title":"Analisa Pendangkalan Jalur Pelayaran Menggunakan Pemodelan Hidrodinamika 3D (Studi Kasus : Perairan Pelabuhan PT Petrokimia Gresik)","authors":"Yoga Arif Rohman, Danar Guruh Pratomo, Khomsin Khomsin","doi":"10.12962/j24423998.v17i1.10406","DOIUrl":"https://doi.org/10.12962/j24423998.v17i1.10406","url":null,"abstract":"","PeriodicalId":30776,"journal":{"name":"Geoid","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42071201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-10DOI: 10.12962/j24423998.v17i1.10250
D. Ramadhani, Teguh Hariyanto, Nurwatik Nurwatik
{"title":"Penerapan Metode Analytical Hierarchy Process (AHP) dalam Pemetaan Potensi Banjir Berbasis Sistem Informasi Geografis (Studi Kasus: Kota Malang, Jawa Timur)","authors":"D. Ramadhani, Teguh Hariyanto, Nurwatik Nurwatik","doi":"10.12962/j24423998.v17i1.10250","DOIUrl":"https://doi.org/10.12962/j24423998.v17i1.10250","url":null,"abstract":"","PeriodicalId":30776,"journal":{"name":"Geoid","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45067571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-10DOI: 10.12962/j24423998.v17i1.10077
Nurwatik Nurwatik, Filsa Bioresita, D. Setiawan
: A tsunami disaster is one of the most dangerous natural disasters and often occurs in Indonesia. Especially in the South Coastal area of Pangandaran Regency which has a history of tsunamis with a tsunami run-up height reaching 15.7 meters in 2006 based on data from BPBD Pangandaran Regency. According to the BMKG, the tsunami that occurred killed 664 people. As a disaster mitigation effort, this research analyzed the level of tsunami hazard and determined the location of Temporary Evacuation Places (TES) in the South Coastal Region of the Pangandaran Regency. The hazard level analysis was carried out based on slope data, roughness coefficient, tsunami run-up height, and coastline. Then from the results of the analysis of the hazard level are used to determine the location of TES using the Network Analyst method. The basis for making the distribution of TES locations is by using Service Area analysis based on pre-existing TES distribution locations from BPBD Pangandaran Regency. From this analysis, the distribution of TES locations and coverage areas will be identified. If the Service Area coverage of the distribution of TES locations from BPBD Pangandaran Regency does not cover the entire tsunami-affected area, then additional TES points will be made. This study resulted in 55 TES location points that can be used as evacuation sites with
{"title":"Penentuan Lokasi Titik Evakuasi Sementara Bencana Tsunami Menggunakan Metode Network Analyst (Studi Kasus: Pesisir Selatan Kabupaten Pangandaran)","authors":"Nurwatik Nurwatik, Filsa Bioresita, D. Setiawan","doi":"10.12962/j24423998.v17i1.10077","DOIUrl":"https://doi.org/10.12962/j24423998.v17i1.10077","url":null,"abstract":": A tsunami disaster is one of the most dangerous natural disasters and often occurs in Indonesia. Especially in the South Coastal area of Pangandaran Regency which has a history of tsunamis with a tsunami run-up height reaching 15.7 meters in 2006 based on data from BPBD Pangandaran Regency. According to the BMKG, the tsunami that occurred killed 664 people. As a disaster mitigation effort, this research analyzed the level of tsunami hazard and determined the location of Temporary Evacuation Places (TES) in the South Coastal Region of the Pangandaran Regency. The hazard level analysis was carried out based on slope data, roughness coefficient, tsunami run-up height, and coastline. Then from the results of the analysis of the hazard level are used to determine the location of TES using the Network Analyst method. The basis for making the distribution of TES locations is by using Service Area analysis based on pre-existing TES distribution locations from BPBD Pangandaran Regency. From this analysis, the distribution of TES locations and coverage areas will be identified. If the Service Area coverage of the distribution of TES locations from BPBD Pangandaran Regency does not cover the entire tsunami-affected area, then additional TES points will be made. This study resulted in 55 TES location points that can be used as evacuation sites with","PeriodicalId":30776,"journal":{"name":"Geoid","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48832462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-10DOI: 10.12962/j24423998.v17i1.8670
Ardia Tiara Rahmi, Bangun Muljo Sukojo, N. Hayati
{"title":"Analisis Kebutuhan Air Petak Tersier Berdasarkan Hasil Identifikasi Fase Tanam Menggunakan Citra Sentinel-2 dan Google Earth Engine (Studi Kasus : Daerah Irigasi Sampean Kab. Situbondo)","authors":"Ardia Tiara Rahmi, Bangun Muljo Sukojo, N. Hayati","doi":"10.12962/j24423998.v17i1.8670","DOIUrl":"https://doi.org/10.12962/j24423998.v17i1.8670","url":null,"abstract":"","PeriodicalId":30776,"journal":{"name":"Geoid","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41530252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-01-10DOI: 10.12962/j24423998.v17i1.10302
Udiana Wahyu Deviantari, Yanto Budisusanto, Rizal Nur Muhammad
Conformity Analysis of Certified Land Field Map with Taxpayers for Determining Potential Regional Original Income (Case Study: Bungurasih bahwa Pemerintah Pajak untuk Pendapatan Asli Daerah (PAD). Namun, data persil tanah yang dimiliki oleh Kantor Pertanahan Kabupaten Sidoarjo berbeda dengan data wajib pajak yang dimiliki oleh pemerintah desa. Pada penelitian kali ini dilakukan analisis kesesuaian antara persil tanah yang dimiliki Badan Pertanahan Nasional (BPN) dengan data wajib pajak dimiliki oleh Badan Pelayanan Pajak Daerah (BPPD) Kabupaten Sidoarjo dengan cara melakukan overlay terhadap peta persil tanah dengan peta desa. Kemudian dengan melakukan pembuatan zona nilai tanah terlebih Abstract: According to Law Number 28 of 2009 about Regional Taxes and Levies, it is stated that Regional Governments have the right to withdraw Land and Building Taxes in order to obtain Regional Original Income. However, the data on land parcels owned by Sidoarjo National Land Agency is different from the data on taxpayers owned by the village government. In this study, a suitability analysis was carried out between the land parcels owned by the National Land Agency and the taxpayer data owned by the Regional Tax Service Agency of Sidoarjo Regency by overlaying the land parcel maps with village maps. Then by making the land value zone first, it can be seen the potential PAD that can be generated from land parcels that do not yet have a tax identity. The results of the analysis show that in zones with regular parcels of land and shop houses have a high level of conformity, that is DPU Housing with 56 land parcels and 53 taxpayers, Wisma Bungurasih with 302 land parcels and 320 taxpayers, and Bungurasih with 70 land parcels and 71 taxpayer. Then, the zone with irregular parcels has a low level of conformity, that is Bungurasih Utara with 38 land parcels and 204 taxpayers and Bungurasih Dalam with 13 land parcels and 37 taxpayers. Then, for the potential Regional Original Income that can be generated is Rp. 1,114,461.60 from 6 parcels of land in the DPU Housing and Wisma Bungurasih which do not have tax information.
确定潜在区域原始收入的已认证土地图与纳税人的一致性分析（案例研究：Bungurasih bahwa Pemeritah Pajak untuk Pendapatan Asli Daerah（PAD））。但是，Sidoarjo县土地管理局收集的土地数据与政府收集的数据一致。在此基础上，根据Sidoarjo县公共土地管理局（BPPD）提供的数据，对国家公共土地局（BPN）减少的永久性土地进行了分析，并对永久性土地与土地进行了覆盖。摘要：根据2009年第28号关于地区税收的法律，地区政府有权提取土地税和建筑税，以获得地区原始收入。然而，Sidoarjo国家土地局拥有的地块数据与村政府拥有的纳税人数据不同。在本研究中，通过将地块地图与村庄地图叠加，对国家土地局拥有的地块与Sidoarjo Regency地区税务服务局拥有的纳税人数据进行了适用性分析。然后，通过首先建立土地价值区，可以看到尚未具有税务身份的地块可能产生的潜在PAD。分析结果表明，在拥有常规地块和商铺的地区，DPU Housing拥有56个地块和53个纳税人，Wisma Bungurasih拥有302个地块和320个纳税人，Bungurashi拥有70个地块和71个纳税人。然后，地块不规则的区域的一致性水平较低，即Bungurasih Utara有38个地块和204个纳税人，Bunguraseh Dalam有13个地块和37个纳税人。那么，对于DPU住房和Wisma Bungurasih的6块没有税务信息的土地，可以产生的潜在区域原始收入为1114461.60卢比。
{"title":"Analisis Kesesuaian Peta Bidang Tanah Tersertifikat dengan Wajib Pajak untuk Penentuan Potensi Pendapatan Asli Daerah (PAD) (Studi Kasus : Desa Bungurasih)","authors":"Udiana Wahyu Deviantari, Yanto Budisusanto, Rizal Nur Muhammad","doi":"10.12962/j24423998.v17i1.10302","DOIUrl":"https://doi.org/10.12962/j24423998.v17i1.10302","url":null,"abstract":"Conformity Analysis of Certified Land Field Map with Taxpayers for Determining Potential Regional Original Income (Case Study: Bungurasih bahwa Pemerintah Pajak untuk Pendapatan Asli Daerah (PAD). Namun, data persil tanah yang dimiliki oleh Kantor Pertanahan Kabupaten Sidoarjo berbeda dengan data wajib pajak yang dimiliki oleh pemerintah desa. Pada penelitian kali ini dilakukan analisis kesesuaian antara persil tanah yang dimiliki Badan Pertanahan Nasional (BPN) dengan data wajib pajak dimiliki oleh Badan Pelayanan Pajak Daerah (BPPD) Kabupaten Sidoarjo dengan cara melakukan overlay terhadap peta persil tanah dengan peta desa. Kemudian dengan melakukan pembuatan zona nilai tanah terlebih Abstract: According to Law Number 28 of 2009 about Regional Taxes and Levies, it is stated that Regional Governments have the right to withdraw Land and Building Taxes in order to obtain Regional Original Income. However, the data on land parcels owned by Sidoarjo National Land Agency is different from the data on taxpayers owned by the village government. In this study, a suitability analysis was carried out between the land parcels owned by the National Land Agency and the taxpayer data owned by the Regional Tax Service Agency of Sidoarjo Regency by overlaying the land parcel maps with village maps. Then by making the land value zone first, it can be seen the potential PAD that can be generated from land parcels that do not yet have a tax identity. The results of the analysis show that in zones with regular parcels of land and shop houses have a high level of conformity, that is DPU Housing with 56 land parcels and 53 taxpayers, Wisma Bungurasih with 302 land parcels and 320 taxpayers, and Bungurasih with 70 land parcels and 71 taxpayer. Then, the zone with irregular parcels has a low level of conformity, that is Bungurasih Utara with 38 land parcels and 204 taxpayers and Bungurasih Dalam with 13 land parcels and 37 taxpayers. Then, for the potential Regional Original Income that can be generated is Rp. 1,114,461.60 from 6 parcels of land in the DPU Housing and Wisma Bungurasih which do not have tax information.","PeriodicalId":30776,"journal":{"name":"Geoid","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42198598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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