The research about composition and structure of Arthropoda community was conducted at oil palm plantations Arthropoda were collected at oil palm plantation, conservasion forest and forest edge sites (between conservation forest and plantation area) by survey method with systematic random sampling for arthropoda in litter and soil. A total of four Arthropoda species that belonging to 2 orders, 3 families, 4 general and 57 individuals was collected. The highest number of individuals Isotomiella sp. (14 ind) family Isotomidae. Arthropoda community composition consists of 3 families & 4 species: Neanuridae (Lobella sp.), Brachystomellidae (Brachystomella sp.) & Isotomidae (Isotomiella sp. & Folsomides sp.), Arthropoda community structure The highest density is in the litter location I (16 ind / m2) while the lowest density is in location III (3.56 ind / m2). The highest soil density is in location I (4,538.56 ind / m3) & the lowest density is in location III (789,761 ind / m3). The highest relative density is location III (100%) & the lowest relative density is found in location I (litter, 5.8%) & (soil, 8.9%). The highest Shannon-Wiener diversity index, both litter and soil, were found in location I (litter 1.28) & (soil, 1.38) and the lowest diversity index was found in location III (0). The highest similarity index for Sorensen was location III (75.71%) and the lowest was the comparison between locations II & I (20%).
对油棕种植园节肢动物群落的组成和结构进行了研究 在油棕种植园、保护林和森林边缘地带（保护林和种植园之间），采用系统随机抽样的调查方法，收集了枯落物和土壤中的节肢动物。共收集到 4 种节肢动物，隶属于 2 目 3 科 4 属 57 个个体。其中个体数最多的是 Isotomidae 科的 Isotomiella sp.（14 个）。节肢动物群落由 3 科 4 种组成：节肢动物群落结构 密度最高的是 I 号地点（16 个/平方米），密度最低的是 III 号地点（3.56 个/平方米）。土壤密度最高的是地点 I（4,538.56 头/立方米），密度最低的是地点 III（789,761 头/立方米）。相对密度最高的是地点 III（100%），相对密度最低的是地点 I（垃圾，5.8%）和（土壤，8.9%）。在地点 I（枯落物，1.28）和（土壤，1.38）中，枯落物和土壤的香农-维纳（Shannon-Wiener）多样性指数最高，地点 III 的多样性指数最低（0）。索伦森相似性指数最高的是地点 III（75.71%），最低的是地点 II 和地点 I 之间的比较（20%）。
{"title":"Arthropoda Community Structure in Conservation Forest and Oil Palm Plantation in Java Tongah Village Area, Hatonduhan District, Simalungun Regency","authors":"S. Silaen, Welmar Olfan Basten Barat","doi":"10.30871/jagi.v7i2.6258","DOIUrl":"https://doi.org/10.30871/jagi.v7i2.6258","url":null,"abstract":"The research about composition and structure of Arthropoda community was conducted at oil palm plantations Arthropoda were collected at oil palm plantation, conservasion forest and forest edge sites (between conservation forest and plantation area) by survey method with systematic random sampling for arthropoda in litter and soil. A total of four Arthropoda species that belonging to 2 orders, 3 families, 4 general and 57 individuals was collected. The highest number of individuals Isotomiella sp. (14 ind) family Isotomidae. Arthropoda community composition consists of 3 families & 4 species: Neanuridae (Lobella sp.), Brachystomellidae (Brachystomella sp.) & Isotomidae (Isotomiella sp. & Folsomides sp.), Arthropoda community structure The highest density is in the litter location I (16 ind / m2) while the lowest density is in location III (3.56 ind / m2). The highest soil density is in location I (4,538.56 ind / m3) & the lowest density is in location III (789,761 ind / m3). The highest relative density is location III (100%) & the lowest relative density is found in location I (litter, 5.8%) & (soil, 8.9%). The highest Shannon-Wiener diversity index, both litter and soil, were found in location I (litter 1.28) & (soil, 1.38) and the lowest diversity index was found in location III (0). The highest similarity index for Sorensen was location III (75.71%) and the lowest was the comparison between locations II & I (20%).","PeriodicalId":503070,"journal":{"name":"Journal of Applied Geospatial Information","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139286317","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}
Al Shida Natul, Teuku Rykard Yudha Pratama, Annisa Kurnia Shalihat
Gravity satellites can be used for geodynamic studies in large and hard-to-reach areas. This study conducts gravity disturbance analysis from GOCE and EGM2008 satellite data for geodynamic interpretation in eastern Indonesia, the results of which are used as a basis for disaster mitigation. Gravity disturbance processing results from GOCE data with values around -300 to 260 mGal and EGM2008 with values around -350 to 450 mGal. Gravity disturbance maps of the GOCE and EGM2008 can clearly show fault patterns in the sea. However, the EGM2008 gravity disturbance map shows the fault pattern in the sea more clearly than the GOCE gravity disturbance map due to the higher spatial resolution of EGM2008 than GOCE. The cross-section of the GOCE and EGM2008 gravity disturbance maps represents the gravity signal of the study area; the GOCE graph represents the signal and forms the EGM2008 gravity disturbance signal components. The novelty of this research is related to the comparison of gravity disturbance maps from GOCE and EGM2008 data, which can be used to detect regional geological structures in eastern Indonesia.
{"title":"Gravity Disturbance Analysis of Geodynamics In East Indonesia","authors":"Al Shida Natul, Teuku Rykard Yudha Pratama, Annisa Kurnia Shalihat","doi":"10.30871/jagi.v7i2.6422","DOIUrl":"https://doi.org/10.30871/jagi.v7i2.6422","url":null,"abstract":"Gravity satellites can be used for geodynamic studies in large and hard-to-reach areas. This study conducts gravity disturbance analysis from GOCE and EGM2008 satellite data for geodynamic interpretation in eastern Indonesia, the results of which are used as a basis for disaster mitigation. Gravity disturbance processing results from GOCE data with values around -300 to 260 mGal and EGM2008 with values around -350 to 450 mGal. Gravity disturbance maps of the GOCE and EGM2008 can clearly show fault patterns in the sea. However, the EGM2008 gravity disturbance map shows the fault pattern in the sea more clearly than the GOCE gravity disturbance map due to the higher spatial resolution of EGM2008 than GOCE. The cross-section of the GOCE and EGM2008 gravity disturbance maps represents the gravity signal of the study area; the GOCE graph represents the signal and forms the EGM2008 gravity disturbance signal components. The novelty of this research is related to the comparison of gravity disturbance maps from GOCE and EGM2008 data, which can be used to detect regional geological structures in eastern Indonesia.","PeriodicalId":503070,"journal":{"name":"Journal of Applied Geospatial Information","volume":"35 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139313066","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}
The development of settlements experienced by the City of Ternate has caused quite serious problems, considering that the City of Ternate is an island city dominated by mountainous land, land development for settlements is limited to coastal lands. The purpose of this study is to analyze the direction of settlement development toward the availability of land in the City of Ternate. The method used in this research is the overlay method and uses a qualitative descriptive research type using secondary data in the form of a Map of Disaster Prone Areas from the Ministry of Energy and Mineral Resources. From the results of the overlapping process between settlements in 2010 and 2020, the direction of settlement development in the City of Ternate is to the south and east which are pointing upwards on the slopes of Mount Gamalama. Judging from the Disaster Prone Areas (KRB) map obtained from the Ministry of Energy and Mineral Resources, the direction of settlement development that has occurred in Ternate City is that KRB I is an area that is located along or near the river valley and the lower reaches of the river which originates at the peak area. The availability of land in the City of Ternate which allows for the construction of a settlement is in the south and east. However, the southern and eastern parts of Ternate City are dense enough so that the dominant development is directed upwards. This upward development needs to consider the slope of the slope considering that Ternate City is a volcanic island.
{"title":"The Directions of Settlement Development on Land Availability in Ternate City","authors":"Eva Purnamasari, Yudi Antomi","doi":"10.30871/jagi.v7i2.5941","DOIUrl":"https://doi.org/10.30871/jagi.v7i2.5941","url":null,"abstract":"The development of settlements experienced by the City of Ternate has caused quite serious problems, considering that the City of Ternate is an island city dominated by mountainous land, land development for settlements is limited to coastal lands. The purpose of this study is to analyze the direction of settlement development toward the availability of land in the City of Ternate. The method used in this research is the overlay method and uses a qualitative descriptive research type using secondary data in the form of a Map of Disaster Prone Areas from the Ministry of Energy and Mineral Resources. From the results of the overlapping process between settlements in 2010 and 2020, the direction of settlement development in the City of Ternate is to the south and east which are pointing upwards on the slopes of Mount Gamalama. Judging from the Disaster Prone Areas (KRB) map obtained from the Ministry of Energy and Mineral Resources, the direction of settlement development that has occurred in Ternate City is that KRB I is an area that is located along or near the river valley and the lower reaches of the river which originates at the peak area. The availability of land in the City of Ternate which allows for the construction of a settlement is in the south and east. However, the southern and eastern parts of Ternate City are dense enough so that the dominant development is directed upwards. This upward development needs to consider the slope of the slope considering that Ternate City is a volcanic island.","PeriodicalId":503070,"journal":{"name":"Journal of Applied Geospatial Information","volume":"20 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139312797","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}
3D modeling of buildings is an important method in mapping and modeling the built environment. In this study, we analyzed the differences between the semantic state of actual buildings and 3D models of LoD3 buildings generated using aerial and terrestrial photogrammetric methods. We also evaluated the accuracy of the visual representation as well as the suitability of the building geometry and texture. Our method involves collecting aerial and terrestrial photographic data and processing it using SFM (structure from motion) technology. The photogrammetric data was then processed using image matching algorithms and 3D reconstruction techniques to generate 3D models of LoD3 buildings. The actual semantic state of the building was identified through field surveys and reference data collection. The 3D building model was successfully modeled from 1201 photos and 19 ground control points. The results of the evaluation of the geometry accuracy test, dimensions and semantic completeness of the 3D model, the use of aerial photographs and terrestrial photogrammetry in LoD3 3D modeling are assessed from the results of the automatic 3D modeling process using SfM (Structure from Motion) technology that produces 3D building models in Level of Detail (LoD) 3 with Root Mean Square Error values <0.5 meters and has semantic completeness of the building in accordance with the original object based on the City Geography Markup Language (CityGML) standard. The facade formed from the modeling almost follows the original model such as doors, windows, hallways, etc.
{"title":"Comparative Analysis of the Semantic Conditions of LoD3 3D Building Model Based on Aerial Photography and Terrestrial Photogrammetry","authors":"Muh Apriansyah, H. Harintaka","doi":"10.30871/jagi.v7i2.6634","DOIUrl":"https://doi.org/10.30871/jagi.v7i2.6634","url":null,"abstract":"3D modeling of buildings is an important method in mapping and modeling the built environment. In this study, we analyzed the differences between the semantic state of actual buildings and 3D models of LoD3 buildings generated using aerial and terrestrial photogrammetric methods. We also evaluated the accuracy of the visual representation as well as the suitability of the building geometry and texture. Our method involves collecting aerial and terrestrial photographic data and processing it using SFM (structure from motion) technology. The photogrammetric data was then processed using image matching algorithms and 3D reconstruction techniques to generate 3D models of LoD3 buildings. The actual semantic state of the building was identified through field surveys and reference data collection. The 3D building model was successfully modeled from 1201 photos and 19 ground control points. The results of the evaluation of the geometry accuracy test, dimensions and semantic completeness of the 3D model, the use of aerial photographs and terrestrial photogrammetry in LoD3 3D modeling are assessed from the results of the automatic 3D modeling process using SfM (Structure from Motion) technology that produces 3D building models in Level of Detail (LoD) 3 with Root Mean Square Error values <0.5 meters and has semantic completeness of the building in accordance with the original object based on the City Geography Markup Language (CityGML) standard. The facade formed from the modeling almost follows the original model such as doors, windows, hallways, etc.","PeriodicalId":503070,"journal":{"name":"Journal of Applied Geospatial Information","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139313208","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}
F. J. Amarrohman, Yasser Wahyuddin, Ellena Patricia
According to the Regional Spatial Plan (RTRW) for the City of Semarang in 2011–2031, the area around Simpang Lima is part of City Area 1, with a function as the Central Business District (CBD). Losch (1954) suggests that the value of a parcel of land tends to decrease if it is away from the central business area. Therefore, this study investigated the relationship between changes in land value and the presence of CBD around the Simpang Lima CBD. The methods employed in this study are the calculation of the Average Indicated Value (NIR), analyzing changes in land value in 2012–2023, and the Geographically Weighted Regression (GWR). Based on an analysis of changes in land value for 2012–2023, it shows that the highest change in land value zone for 2012–2018 was in zone 166, with an increase of IDR 20,446,000, and the lowest change in land value was in zone 163, with a decrease of IDR 3,956,000. Meanwhile, the highest change in land value zone for 2018–2023 was in zone 84, with an increase of IDR 28,852,000, and the lowest change in land value was in zone 37, with an increase of IDR 217,000. The results of statistical tests using GWR show that the influence of the distance from the CBD on changes in land values in 2012–2023 is 84%, indicating a high correlation. The results of the T-test performed on each variable indicate that the variables significantly influencing changes in land value are shopping centers and road widths. Shopping centers have a negative correlation. On the other hand, the road width is positively correlation.
{"title":"Analysis of Land Value in the Area Surrounding the Central Business District (CBD) of Simpang Lima, Semarang City Using Geographically Weighted Regression (GWR)","authors":"F. J. Amarrohman, Yasser Wahyuddin, Ellena Patricia","doi":"10.30871/jagi.v7i2.6361","DOIUrl":"https://doi.org/10.30871/jagi.v7i2.6361","url":null,"abstract":"According to the Regional Spatial Plan (RTRW) for the City of Semarang in 2011–2031, the area around Simpang Lima is part of City Area 1, with a function as the Central Business District (CBD). Losch (1954) suggests that the value of a parcel of land tends to decrease if it is away from the central business area. Therefore, this study investigated the relationship between changes in land value and the presence of CBD around the Simpang Lima CBD. The methods employed in this study are the calculation of the Average Indicated Value (NIR), analyzing changes in land value in 2012–2023, and the Geographically Weighted Regression (GWR). Based on an analysis of changes in land value for 2012–2023, it shows that the highest change in land value zone for 2012–2018 was in zone 166, with an increase of IDR 20,446,000, and the lowest change in land value was in zone 163, with a decrease of IDR 3,956,000. Meanwhile, the highest change in land value zone for 2018–2023 was in zone 84, with an increase of IDR 28,852,000, and the lowest change in land value was in zone 37, with an increase of IDR 217,000. The results of statistical tests using GWR show that the influence of the distance from the CBD on changes in land values in 2012–2023 is 84%, indicating a high correlation. The results of the T-test performed on each variable indicate that the variables significantly influencing changes in land value are shopping centers and road widths. Shopping centers have a negative correlation. On the other hand, the road width is positively correlation.","PeriodicalId":503070,"journal":{"name":"Journal of Applied Geospatial Information","volume":"4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139316081","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}
Hana Sugiastu Firdaus, Muhammad Adnan Yusuf, Ahmad Bassam
Semarang City is one of the cities in Central Java which has a lot of potential and tourist attractions that can be developed further. The city offers diverse destinations, including Semarang Zoo. In 2007, the Municipal Government of Semarang relocated the zoo from Tinjomoyo Zoo to a new site in the Mangkang area and renamed it Semarang Zoo. Currently, Semarang Zoo is a man-made tourist attraction. The presence of these tourist areas has a substantial impact on the local economy, benefiting the surrounding communities. To assess the post-relocation development of tourist areas, an analysis of the economic value zones was conducted using the Travel Cost Method (TCM) and the Contingent Valuation Method (CVM) to determine the total economic value of the tourist areas. The Hedonic Pricing Method (HPM) was employed to gauge tourism potential based on visitor preferences. The Gravity Model was also utilized to measure the attractiveness of both tourist areas. The sample sizes for Semarang Zoo were 110 for TCM, 105 for CVM, and 110 for HPM. The research findings revealed that Semarang Zoo has a total economic value of IDR 245,895,813,400 and the highest hedonic value of 3.050. The calculated hedonic value suggests a preference value of 3, indicating an average level of preference. Based on the calculation of spatial interactions, it shows that the biggest attractions of the Semarang Zoo are Semarang City and Kendal City.
{"title":"The Economic Value Zone of Semarang Zoo Using Travel Cost and Contingent Valuation Method","authors":"Hana Sugiastu Firdaus, Muhammad Adnan Yusuf, Ahmad Bassam","doi":"10.30871/jagi.v7i2.5431","DOIUrl":"https://doi.org/10.30871/jagi.v7i2.5431","url":null,"abstract":"Semarang City is one of the cities in Central Java which has a lot of potential and tourist attractions that can be developed further. The city offers diverse destinations, including Semarang Zoo. In 2007, the Municipal Government of Semarang relocated the zoo from Tinjomoyo Zoo to a new site in the Mangkang area and renamed it Semarang Zoo. Currently, Semarang Zoo is a man-made tourist attraction. The presence of these tourist areas has a substantial impact on the local economy, benefiting the surrounding communities. To assess the post-relocation development of tourist areas, an analysis of the economic value zones was conducted using the Travel Cost Method (TCM) and the Contingent Valuation Method (CVM) to determine the total economic value of the tourist areas. The Hedonic Pricing Method (HPM) was employed to gauge tourism potential based on visitor preferences. The Gravity Model was also utilized to measure the attractiveness of both tourist areas. The sample sizes for Semarang Zoo were 110 for TCM, 105 for CVM, and 110 for HPM. The research findings revealed that Semarang Zoo has a total economic value of IDR 245,895,813,400 and the highest hedonic value of 3.050. The calculated hedonic value suggests a preference value of 3, indicating an average level of preference. Based on the calculation of spatial interactions, it shows that the biggest attractions of the Semarang Zoo are Semarang City and Kendal City.","PeriodicalId":503070,"journal":{"name":"Journal of Applied Geospatial Information","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139321997","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}
Endah P. Sari, Resa Idha, Y. Asnawi, A. Simanjuntak, Syahrul Humaidi, U. Muksin
On October 1, 2022, an earthquake with a magnitude of 5.8 shook the Tarutung area which was generated by an active fault at a shallow depth of 10 km. In this study, relocating the hypocenter and determining the mechanism of the earthquake was carried out to understand the active tectonic structure. The distribution of hypocenter relocation figures a pull-apart pattern at shallow depths. The earthquake mechanism shows a dextral pattern in the Southwest – Southeast direction with a strike of 138º – 158º. The aftershocks are more dominantly distributed in the pull-apart system in the southeastern part and show the greater part of the transfer of seismic static stress to the southeastern side of the Toru fault. The pull-apart tectonic system scheme in the Tarutung basin with secondary faults as extensional faults is proposed to be a fault source model that forms a negative-flower structure geological pattern. The results of this study can be used as a reference for the Tarutung tectonic system and applied as a mitigation study.
{"title":"Faulting Mechanism of Tarutung Earthquake 2022 Mw 5.8 Using Moment Tensor Inversion","authors":"Endah P. Sari, Resa Idha, Y. Asnawi, A. Simanjuntak, Syahrul Humaidi, U. Muksin","doi":"10.30871/jagi.v7i1.5663","DOIUrl":"https://doi.org/10.30871/jagi.v7i1.5663","url":null,"abstract":"On October 1, 2022, an earthquake with a magnitude of 5.8 shook the Tarutung area which was generated by an active fault at a shallow depth of 10 km. In this study, relocating the hypocenter and determining the mechanism of the earthquake was carried out to understand the active tectonic structure. The distribution of hypocenter relocation figures a pull-apart pattern at shallow depths. The earthquake mechanism shows a dextral pattern in the Southwest – Southeast direction with a strike of 138º – 158º. The aftershocks are more dominantly distributed in the pull-apart system in the southeastern part and show the greater part of the transfer of seismic static stress to the southeastern side of the Toru fault. The pull-apart tectonic system scheme in the Tarutung basin with secondary faults as extensional faults is proposed to be a fault source model that forms a negative-flower structure geological pattern. The results of this study can be used as a reference for the Tarutung tectonic system and applied as a mitigation study.","PeriodicalId":503070,"journal":{"name":"Journal of Applied Geospatial Information","volume":"71 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139368275","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}
Resa Idha, Endah P. Sari, Y. Asnawi, A. Simanjuntak, Syahrul Humaidi, U. Muksin
On October 1, 2022, an earthquake with a magnitude (M) of 5.8 occurred in the Tarutung region, Indonesia and was associated with an active fault at a depth of 10 km. The earthquake fault with dextral mechanism is suitable with the pattern of active fault movement in Sumatra in the Northeast - Southwest direction. A total of 170 aftershocks occurred within a week span with magnitude variations of 1.7 – 4.0. In addition, the Tarutung earthquake was felt by the local peoples with an intensity of IV - VI MMI and caused 1 fatality, 25 injuries, and around 900 houses were damaged. Therefore, this study studies the characteristics of seismicity and damage caused by finding an appropriate 1-Dimensional seismic velocity model. The obtained 1-Dimensional speed model has varying values at a depth of 10 km with a speed of ~5.5 km/s and 30 km with a speed of ~7 km/s. The 1-D velocity model obtained has a convergent and unique solution with an RMS value < 1.0. Based on ground motion analysis after relocation, it was found that the high PGA and PGV values were in Tarutung. The PGA results reveal a high percentage value of >10% in Tarutung. This is consistent with the damage data and at the same time confirms that Tarutung is in a seismically active area.
{"title":"1-Dimensional Model of Seismic Velocity after Tarutung Earthquake 1 October 2022 Mw 5.8","authors":"Resa Idha, Endah P. Sari, Y. Asnawi, A. Simanjuntak, Syahrul Humaidi, U. Muksin","doi":"10.30871/jagi.v7i1.5662","DOIUrl":"https://doi.org/10.30871/jagi.v7i1.5662","url":null,"abstract":"On October 1, 2022, an earthquake with a magnitude (M) of 5.8 occurred in the Tarutung region, Indonesia and was associated with an active fault at a depth of 10 km. The earthquake fault with dextral mechanism is suitable with the pattern of active fault movement in Sumatra in the Northeast - Southwest direction. A total of 170 aftershocks occurred within a week span with magnitude variations of 1.7 – 4.0. In addition, the Tarutung earthquake was felt by the local peoples with an intensity of IV - VI MMI and caused 1 fatality, 25 injuries, and around 900 houses were damaged. Therefore, this study studies the characteristics of seismicity and damage caused by finding an appropriate 1-Dimensional seismic velocity model. The obtained 1-Dimensional speed model has varying values at a depth of 10 km with a speed of ~5.5 km/s and 30 km with a speed of ~7 km/s. The 1-D velocity model obtained has a convergent and unique solution with an RMS value < 1.0. Based on ground motion analysis after relocation, it was found that the high PGA and PGV values were in Tarutung. The PGA results reveal a high percentage value of >10% in Tarutung. This is consistent with the damage data and at the same time confirms that Tarutung is in a seismically active area.","PeriodicalId":503070,"journal":{"name":"Journal of Applied Geospatial Information","volume":"16 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139368237","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}
The development of the Automatic Feeder instrument and OAK-D camera has yielded positive results. The Automatic Feeder functions well, dispensing 30 grams of fish feed every 5 rotations of the stepper motor. The OAK-D camera records with sharp details, accurate colors, and good contrast, producing high-quality videos. The YOLOv5x detection model achieves an accuracy of 82%, precision of 80%, recall of 84%, mAP of 81.90%, and a training loss of 0.079144. This model can detect fish feed with high accuracy. The calculation of fish feed reveals different consumption patterns in the morning, afternoon, and evening. On average, the fish feed is depleted at the 25th minute across all time periods. The information from the graphs and tables can assist in optimizing the feeding process to avoid overfeeding.
{"title":"Computer Vision-Based Fish Feed Detection and Quantification System","authors":"Riyandani Riyandani, Indra Jaya, Ayi Rahmat","doi":"10.30871/jagi.v7i1.5644","DOIUrl":"https://doi.org/10.30871/jagi.v7i1.5644","url":null,"abstract":"The development of the Automatic Feeder instrument and OAK-D camera has yielded positive results. The Automatic Feeder functions well, dispensing 30 grams of fish feed every 5 rotations of the stepper motor. The OAK-D camera records with sharp details, accurate colors, and good contrast, producing high-quality videos. The YOLOv5x detection model achieves an accuracy of 82%, precision of 80%, recall of 84%, mAP of 81.90%, and a training loss of 0.079144. This model can detect fish feed with high accuracy. The calculation of fish feed reveals different consumption patterns in the morning, afternoon, and evening. On average, the fish feed is depleted at the 25th minute across all time periods. The information from the graphs and tables can assist in optimizing the feeding process to avoid overfeeding.","PeriodicalId":503070,"journal":{"name":"Journal of Applied Geospatial Information","volume":"3 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139368316","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}
S. N. Chayati, Muhammad Zainuddin Lubis, Adinda Syahrani
Indonesia is an archipelagic country with a total marine area of 5.9 million km², consisting of 3.2 million km² of territorial waters and 2.7 km² of Exclusive Economic Zone waters, not including the continental shelf. With the vast waters in Indonesia, sufficient information about the tides is needed. Limitations of terrestrial tide data amidst the increasing need for marine information can be overcome by using global and regional tide models. This study uses the regional tidal data model released by BIG (Geospatial Information Agency) and the global tide model TPXO9 and GOT (Goddard Ocean Tides). From the two global tidal models, the tidal harmonic constant values are extracted at the tidal observation point in Kabil. Evaluation of global and regional tide models is carried out by comparing the amplitude values of the main harmonic constants of the tide models of global and regional tides with the amplitude values of the harmonic constants of terrestrial tidal measurement data to obtain a comparison of accuracy. The results of this research show the value of main tidal harmonic.
{"title":"Accuracy Evaluation of Regional and Global Tidal Models (TPXO9 and Goddard Ocean Tide) at Kabil Tidal Station","authors":"S. N. Chayati, Muhammad Zainuddin Lubis, Adinda Syahrani","doi":"10.30871/jagi.v7i1.5591","DOIUrl":"https://doi.org/10.30871/jagi.v7i1.5591","url":null,"abstract":"Indonesia is an archipelagic country with a total marine area of 5.9 million km², consisting of 3.2 million km² of territorial waters and 2.7 km² of Exclusive Economic Zone waters, not including the continental shelf. With the vast waters in Indonesia, sufficient information about the tides is needed. Limitations of terrestrial tide data amidst the increasing need for marine information can be overcome by using global and regional tide models. This study uses the regional tidal data model released by BIG (Geospatial Information Agency) and the global tide model TPXO9 and GOT (Goddard Ocean Tides). From the two global tidal models, the tidal harmonic constant values are extracted at the tidal observation point in Kabil. Evaluation of global and regional tide models is carried out by comparing the amplitude values of the main harmonic constants of the tide models of global and regional tides with the amplitude values of the harmonic constants of terrestrial tidal measurement data to obtain a comparison of accuracy. The results of this research show the value of main tidal harmonic.","PeriodicalId":503070,"journal":{"name":"Journal of Applied Geospatial Information","volume":"51 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139369890","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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