Pub Date : 2022-04-10DOI: 10.12962/j24423998.v17i2.9080
Syaiful Muflichin Purnama, T. Aditya
{"title":"Analitik Visual Deteksi Dampak Pemanfaatan Lahan Terhadap Kemacetan Lalu Lintas Melalui Crowdsourced dan Citra Penginderaan Jauh Di Kawasan Peri-Urban Kota Yogyakarta","authors":"Syaiful Muflichin Purnama, T. Aditya","doi":"10.12962/j24423998.v17i2.9080","DOIUrl":"https://doi.org/10.12962/j24423998.v17i2.9080","url":null,"abstract":"","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":"43355349","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 : 2022-04-10DOI: 10.12962/j24423998.v17i2.8763
Alkindi Gifty Ramadhan, Hepi Hapsari Handayani, Mohammad Rohmaneo Darminto
{"title":"Analisis Peta Rawan Banjir Metode Pembobotan dan Peta Genangan Banjir Metode NDWI terhadap Kejadian Banjir (Studi Kasus: Kabupaten Sidoarjo)","authors":"Alkindi Gifty Ramadhan, Hepi Hapsari Handayani, Mohammad Rohmaneo Darminto","doi":"10.12962/j24423998.v17i2.8763","DOIUrl":"https://doi.org/10.12962/j24423998.v17i2.8763","url":null,"abstract":"","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":"41808753","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 : 2022-04-10DOI: 10.12962/j24423998.v17i2.7413
Cindy Nandya Riastama, Ira Mutiara Anjasmara, Akbar Kurniawan
{"title":"Pemanfaatan Data GPS Tahun 2017-2020 untuk Monitoring Aktivitas Sesar Kendeng di Kota Surabaya","authors":"Cindy Nandya Riastama, Ira Mutiara Anjasmara, Akbar Kurniawan","doi":"10.12962/j24423998.v17i2.7413","DOIUrl":"https://doi.org/10.12962/j24423998.v17i2.7413","url":null,"abstract":"","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":"47695327","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 : 2022-04-10DOI: 10.12962/j24423998.v17i2.11340
Akbar Kurniawan, S.T, M.T, Udiana Wahyu Deviantari
: The phenomenon of land subsidence is an event that can be identified by various methods. It is important to know in advance the hypotheses of the causes of land subsidence, such as the exploitation of underground water, exploitation of hydrocarbons, the occurrence of soil consolidation, due to geological factors, and tectonic activities. This article review is done by searching the data on the journal database. The keyword used in the article search is "Land Subsidence Modeling". The articles obtained are then compared. Comparisons were made to get the gist of the scientific article, especially the title, data used, modeling methods, land subsidence observation methods, and research results. Land subsidence identification can be done using soil and rock layer compaction analysis methods, underground water level change analysis, GPS measurements, Leveling, and time-series InSAR. Modeling of the land subsidence phenomenon is not enough with only geometric data from geodetic measurements, but it must also be supported by physical data related to the causes of land subsidence .
{"title":"Literatur Review: Perbandingan Berbagai Teknik Pemodelan Land Subsidence","authors":"Akbar Kurniawan, S.T, M.T, Udiana Wahyu Deviantari","doi":"10.12962/j24423998.v17i2.11340","DOIUrl":"https://doi.org/10.12962/j24423998.v17i2.11340","url":null,"abstract":": The phenomenon of land subsidence is an event that can be identified by various methods. It is important to know in advance the hypotheses of the causes of land subsidence, such as the exploitation of underground water, exploitation of hydrocarbons, the occurrence of soil consolidation, due to geological factors, and tectonic activities. This article review is done by searching the data on the journal database. The keyword used in the article search is \"Land Subsidence Modeling\". The articles obtained are then compared. Comparisons were made to get the gist of the scientific article, especially the title, data used, modeling methods, land subsidence observation methods, and research results. Land subsidence identification can be done using soil and rock layer compaction analysis methods, underground water level change analysis, GPS measurements, Leveling, and time-series InSAR. Modeling of the land subsidence phenomenon is not enough with only geometric data from geodetic measurements, but it must also be supported by physical data related to the causes of land subsidence .","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":"48159345","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 : 2022-04-10DOI: 10.12962/j24423998.v17i2.8402
Cherie Bhekti Pribadi, Yanto Budisusanto
{"title":"Studi Implementasi RRR (Right, Restiction and Responsibilities) untuk Pemanfaatan di Wilayah Pesisir Perindustrian. (Studi Kasus: Pesisir Perindustrian Kabupaten Gresik)","authors":"Cherie Bhekti Pribadi, Yanto Budisusanto","doi":"10.12962/j24423998.v17i2.8402","DOIUrl":"https://doi.org/10.12962/j24423998.v17i2.8402","url":null,"abstract":"","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":"48709701","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 : 2022-04-10DOI: 10.12962/j24423998.v17i2.9370
Arief Laila Nugraha, M. Awaluddin, Abdi Sukmono, Nella Wakhidatus
{"title":"Pemetaan Dan Penilaian Kerentanan Bencana Alam Di Kabupaten Jepara Berbasis Sistem Informasi Geografis","authors":"Arief Laila Nugraha, M. Awaluddin, Abdi Sukmono, Nella Wakhidatus","doi":"10.12962/j24423998.v17i2.9370","DOIUrl":"https://doi.org/10.12962/j24423998.v17i2.9370","url":null,"abstract":"","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":"46736075","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 : 2022-04-10DOI: 10.12962/j24423998.v17i2.8797
Daud Wahyu Imani, Yanto Budisusanto
{"title":"Visualisasi Objek Fisik dan Yuridis Kadaster 3 Dimensi Berdasarkan Undang-Undang Nomor 20 Tentang Rumah Susun Tahun 2011 (Studi Kasus: Rumah Susun Grudo, Surabaya)","authors":"Daud Wahyu Imani, Yanto Budisusanto","doi":"10.12962/j24423998.v17i2.8797","DOIUrl":"https://doi.org/10.12962/j24423998.v17i2.8797","url":null,"abstract":"","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":"43769757","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 : 2022-04-10DOI: 10.12962/j24423998.v17i2.11341
Udiana Wahyu Deviantari, Akbar Kurniawan
: Land and building taxes offer a fair and efficient form of taxation for urban areas that can impact investment, and allow the government to identify rising land and property prices. However, the tax system that is designed and managed has weaknesses in determining the assessment of the land and building taxes. This study is expected to help increase land and building taxes more efficiently, especially for urban areas. In this study, several methods were identified in determining land and building taxes in urban areas, including the use of land value data. The use of such data can assist in identifying empirically the relationship between taxes and economic growth. This method can assist the government in determining taxes more fairly, efficiently, and transparently
{"title":"Literatur Review: Penilaian Pajak Bumi dan Bangunan di Wilayah Perkotaan","authors":"Udiana Wahyu Deviantari, Akbar Kurniawan","doi":"10.12962/j24423998.v17i2.11341","DOIUrl":"https://doi.org/10.12962/j24423998.v17i2.11341","url":null,"abstract":": Land and building taxes offer a fair and efficient form of taxation for urban areas that can impact investment, and allow the government to identify rising land and property prices. However, the tax system that is designed and managed has weaknesses in determining the assessment of the land and building taxes. This study is expected to help increase land and building taxes more efficiently, especially for urban areas. In this study, several methods were identified in determining land and building taxes in urban areas, including the use of land value data. The use of such data can assist in identifying empirically the relationship between taxes and economic growth. This method can assist the government in determining taxes more fairly, efficiently, and transparently","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":"42453195","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 : 2022-04-10DOI: 10.12962/j24423998.v17i2.11401
Agri Kristal, Harintaka Harintaka
: The need of large-scale base map, especially in 1:5,000, is increasing in Indonesia. Furthermore, as the Government of Indonesia has declared 1:5,000 RBI mapping acceleration as one of main priorities of One Map Policy implementation, the need of large-scale topographic map production is also rising. Generally, topographic map feature extraction, including building extraction, is conducted through digitization or manually through feature stereoplotting either from satellite imagery or aerial photography. However, this method is usually time-consuming especially for high building density area mapping. Detection and extraction of building footprint automatically using computer vision of optical imagery have been favoured in recent years due to the time effective process. One of the technologies that have been developed is deep learning approach. However, the building line resulted from deep learning has disadvantage, i.e., irregular building footprint. This study attempts to assess the accuracy of polygon regularization resulted from automatically extracted building footprint using Mask Region-base Convolutional Neural Networks (Mask R-CNN) from aerial photography. The study finds that in high building density area with regular roof shape (AoI 1), the intersection over union (IoU) index is 87.8%. Whereas in high building density area with irregular roof shape (AoI 2) has the IoU index of 82.6%. This study also assesses the positional accuracy of 25 building corner point samples and resulting CE90 of 1.183 m and 1.303 m in AoI 1 and AoI 2 respectively. The geometric horizontal accuracy is classified as the class 1 in accordance with 1:5,000 RBI map accuracy standard. Therefore, this study concludes that geometrically, the building line resulted from the regularization is appropriate as feature in 1:5,000 RBI.
{"title":"Analisis Kehandalan Ekstraksi Garis Tepi Bangunan dari Data Foto Udara Menggunakan Pendekatan Deep Learning Berbasis Mask R-CNN","authors":"Agri Kristal, Harintaka Harintaka","doi":"10.12962/j24423998.v17i2.11401","DOIUrl":"https://doi.org/10.12962/j24423998.v17i2.11401","url":null,"abstract":": The need of large-scale base map, especially in 1:5,000, is increasing in Indonesia. Furthermore, as the Government of Indonesia has declared 1:5,000 RBI mapping acceleration as one of main priorities of One Map Policy implementation, the need of large-scale topographic map production is also rising. Generally, topographic map feature extraction, including building extraction, is conducted through digitization or manually through feature stereoplotting either from satellite imagery or aerial photography. However, this method is usually time-consuming especially for high building density area mapping. Detection and extraction of building footprint automatically using computer vision of optical imagery have been favoured in recent years due to the time effective process. One of the technologies that have been developed is deep learning approach. However, the building line resulted from deep learning has disadvantage, i.e., irregular building footprint. This study attempts to assess the accuracy of polygon regularization resulted from automatically extracted building footprint using Mask Region-base Convolutional Neural Networks (Mask R-CNN) from aerial photography. The study finds that in high building density area with regular roof shape (AoI 1), the intersection over union (IoU) index is 87.8%. Whereas in high building density area with irregular roof shape (AoI 2) has the IoU index of 82.6%. This study also assesses the positional accuracy of 25 building corner point samples and resulting CE90 of 1.183 m and 1.303 m in AoI 1 and AoI 2 respectively. The geometric horizontal accuracy is classified as the class 1 in accordance with 1:5,000 RBI map accuracy standard. Therefore, this study concludes that geometrically, the building line resulted from the regularization is appropriate as feature in 1:5,000 RBI.","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":"42915491","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 : 2022-04-10DOI: 10.12962/j24423998.v17i2.7418
Arifatul Mu’amalah, Ira Mutiara Anjasmara, M. Taufik
{"title":"Studi Pengamatan Penurunan Permukaan Tanah Menggunakan Metode PS-InSAR di Daerah Blok Cepu","authors":"Arifatul Mu’amalah, Ira Mutiara Anjasmara, M. Taufik","doi":"10.12962/j24423998.v17i2.7418","DOIUrl":"https://doi.org/10.12962/j24423998.v17i2.7418","url":null,"abstract":"","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":"43359632","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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