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Ketelitian Model Kinematik untuk Memprediksi Karakteristik Longsor (Studi Kasus : Zona Longsor di Ciloto-Puncak, Jawa Barat) Sadarviana, Vera; Z. Abidin, Hasanuddin; Kahar, Joenil; Santoso, Djoko; K, Wedyanto
Indonesian Journal of Geospatial Vol 1, No 1 (2012)
Publisher : Indonesian Journal of Geospatial

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (604.185 KB)

Abstract. The geodetic approach based on extraterrestrial survey measurements can be used to study phenomenon, especially to monitoring of material movement characteristic. Landslide is one of prominent catastrophe that continuously affecting in Indonesia, especially in rainy season. In mountainous terrain and areas of steep slope of Indonesia, landslides are frequent, especially where land cover has been removed. Landslides destroy not only environment and property, but usually also cause deaths. Landslide mitigation is therefore very crucial and should be done properly. The velocity and acceleration of several monitored point covering the landslide zone area can be estimated using the geodetic approach. Knowing the relation among these three variables in spatial and temporal domain will be useful for identifying the characteristics of landslide. This information can then be used for better strategy of landslide hazard mitigation. Accuracy of the use of kinematic models for prediction of avalanche characteristics need to be validated so that mitigation will be done correctly. Validation is done by doing a comparison between model predictions and the size of the data and statistical tests for the feasibility of prediction of each point of the GPS monitor. Validation is known that the predicted results at some GPS monitor point is not suitable for use. With the vector of the movement of materials, we know the direction and scalar, velocity and acceleration of material displacement. The movement of landslide materials at Ciloto Zone dominated north-west to south-easterly direction and speed to slow very slow (creep).Â Keywords: accuracy, characteristics, kinematic model, landslide.

KARAKTERISTIK, TIPE DAN BIDANG GELINCIR PADA ZONA LONGSOR CILOTO, JAWA BARAT BERDASARKAN ESTIMASI METODE GEODETIK Kahar, Joenil; Santoso, Djoko; Sadarviana, Vera; Abidin, Hasanuddin Z.
Jurnal Geologi dan Sumberdaya Mineral Vol 20, No 2 (2010): Jurnal Sumber Daya Geologi
Publisher : Pusat Survei Geologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (408.506 KB)

Slip surface is delaminates between sliding material and undisturbed slope material. In limit equilibrium method, slip surface is used as reference for safety factor calculation. Landslides phenomenon can be observed using of GPS satellite technology to mitigation and material displacement monitoring. For that purpose, this research is carried out to estimate characteristic, type and slip surface position at Ciloto landslide zone by GPS survey.First, estimation of slip surface is carried out by slope surface profile which referred to same direction of horizontal displacement of monitored points. The same direction of horizontal displacement at several monitored points indicate that the monitored points can be located at the same slip surface. Second, maximum-minimum function of geometric method and polynomial approach, including graphical method by velocity trend line plotting for each monitored point, were done to find out point position at slip surface. Ideal planar slip surface is determined by infinite slope analysis and circular slip surface is determined by circle arc analysis. Estimation of slip surface by geodetic method approach couldn't give result because geodetic data describe slope surface. By intersection of velocity trend line of monitored point, it can gave estimation of slip surface location. Geodetic approach could gave estimation of scarp position as well as crack which is indicate beginning of slip surface. Locations of scarp in vertical profile have suitability with result of geology research at same study area.Ciloto landslide zone is classified in very slow velocity landslide (5 x 10-5 - 5 x 10-7 mm/second). The characteristic of horizontal displacement has various direction for each monitored point. Vertical displacements of monitored point have subsidence and uplift or bulging. That characteristic formed hummocky terrain and the other side of zone have gradual slope. From the research, the landslide type at Ciloto zone is multiple compound (rotational and translational) debris slides.Keywords : geodetic method, GPS survey, landslide characteristic, landslide type, slip surface, multiple landslide, scarp

Identifikasi Pergerakan Tanah Menggunakan Total Station Robotik di Kampung Nagrog, Desa Mukapayung Kidangpananjung, Kecamatan Cililin, Kabupaten Bandung Barat Sadarviana, Vera; Abidin, Hasanuddin Zainal; Gumilar, Irwan; W, Nunghatta S; T, Achmad R
REKA GEOMATIKA Vol 2018, No 2
Publisher : Institut Teknologi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/jrg.v2018i2.3707

ABSTRAKDesa Mukapayung Kidangpananjung Kecamatan Cililin mengalami bencana longsor pada tahun 2013. Bukit yang mengelilingi desa menjadi morfologi yang terganggu kestabilannya pada saat terjadi hujan lebat semalaman. Bukit tersebut memiliki tingkat kemiringan yang curam dan berpotensi mengalami pergerakan tanah atau longsor. Apabila potensi kerentanan dipicu oleh getaran/gempa dan peningkatan volume air, seperti hujan maka bukit tersebut dapat mengalami kembali pergerakan tanah/longsoran. Untuk itu, pemantauan gerakan tanah perlu dilakukan dalam upaya mitigasi bencana lanjutan. Pemantauan gerakan tanah dilakukan menggunakan Total Station Robotik yang menghasilkan vektor pergerakan tanah dari titik-titik pantau yang dipasang di lereng bukit. Dari hasil vektor tiga periode pengamatan diketahui bahwa arah pergerakan tanah berbeda untuk di suatu titik pantau. Hal tersebut mengindikasikan bahwa lereng yang diamati memiliki bidang gelincir lebih dari satu. Sehingga pada saat terjadi longsor maka arah pergerakan tanah/material lereng dapat bergerak sesuai dengan bidang gelincir yang mengalami tekanan yang paling besar.Â Kata kunci:Â longsor, pemantauan, robotikABSTRACTMukapayung Kidangpananjung Village, Cililin Subdistrict experienced a landslide disaster in 2013. The hills that surround the village become morphologically disturbed when heavy rain occurs overnight. The hill has a steep slope and has the potential to experience land movement or landslides. If the potential for the vulnerability is triggered by vibrations/earthquakes and an increase in the volume of water, such as rain, the hill can re-experience land movement/landslides. For this reason, monitoring of land movements needs to be carried out in further disaster mitigation efforts. Soil movement monitoring is carried out using a Robotic Total Station which produces a vector of ground movement from monitoring points mounted on the hillside. From the results of the vector of three observation periods, it is known that the direction of ground movement is different for each monitoring point. This indicates that the observed slope has more than one slip plane. When a landslide occurs, the movement direction of land/slope material can move in accordance with the slip plane which is experiencing the greatest pressure.Â Keywords:Â landslide, monitoring, robotic

pyGABEUR-ITB: A FREE SOFTWARE FOR ADJUSTMENT OF RELATIVE GRAVIMETER DATA Wijaya, Dudy Darmawan; Muhamad, Norman Arif; Prijatna, Kosasih; Sadarviana, Vera; Sarsito, Dina A.; Pahlevi, Arisauna; Variandy, Erfan D.; Putra, Widy
GEOMATIKA Vol 25, No 2 (2019)
Publisher : Badan Informasi Geospasial in Partnership with MAPIN

pyGABEUR-ITB (Python GayaBEUrat Relatif â€“ Institut Teknologi Bandung) is a free and interactive software for adjustment of relative gravimeter data, developed based on Python programming language. pyGABEUR-ITB can adjust relative gravity measurements and provide reliable estimates for correcting instrumentâ€™s systematic errors, such as gravimeter drift. Furthermore, pyGABEUR-ITB can also detect possible outliers in the observations using the t-criterion method. Since pyGABEUR-ITB is using the weighted constraint adjustment, at least one fixed station is required accordingly. Relative gravimeter data around Palu-Donggala area (Central Sulawesi) observed by Center for Geodesy Control Networks and Geodynamics, Geospatial Information Agency, were used to test the performance of pyGABEUR-ITB. The processing results were then compared against those calculated using GRAVNET software. The comparisons show that both pyGABEUR-ITB and GRAVNET softwares statistically provide simillar results, with the total RMS value of about 5 mGal. In term of computerâ€™s requirement, pyGABEUR-ITB can be excecuted under a computer with the following minimal requirements: x64 CPU, 1 GB memory and WINDOWS 7 OS. Finally, it is important to mention that pyGABEUR-ITB is recently suited to process the data from the gravimeter that adopts the principle of vertical spring balance. In the near future, pyGABEUR-ITB will be extended to be able to automatically adapt to various observation principles.

Identifikasi Pergerakan Tanah Menggunakan Total Station Robotik di Kampung Nagrog, Desa Mukapayung Kidangpananjung, Kecamatan Cililin, Kabupaten Bandung Barat Sadarviana, Vera; Abidin, Hasanuddin Zainal; Gumilar, Irwan; W, Nunghatta S; T, Achmad R
REKA GEOMATIKA Vol 2018, No 2
Publisher : Institut Teknologi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar

ABSTRAKDesa Mukapayung Kidangpananjung Kecamatan Cililin mengalami bencana longsor pada tahun 2013. Bukit yang mengelilingi desa menjadi morfologi yang terganggu kestabilannya pada saat terjadi hujan lebat semalaman. Bukit tersebut memiliki tingkat kemiringan yang curam dan berpotensi mengalami pergerakan tanah atau longsor. Apabila potensi kerentanan dipicu oleh getaran/gempa dan peningkatan volume air, seperti hujan maka bukit tersebut dapat mengalami kembali pergerakan tanah/longsoran. Untuk itu, pemantauan gerakan tanah perlu dilakukan dalam upaya mitigasi bencana lanjutan. Pemantauan gerakan tanah dilakukan menggunakan Total Station Robotik yang menghasilkan vektor pergerakan tanah dari titik-titik pantau yang dipasang di lereng bukit. Dari hasil vektor tiga periode pengamatan diketahui bahwa arah pergerakan tanah berbeda untuk di suatu titik pantau. Hal tersebut mengindikasikan bahwa lereng yang diamati memiliki bidang gelincir lebih dari satu. Sehingga pada saat terjadi longsor maka arah pergerakan tanah/material lereng dapat bergerak sesuai dengan bidang gelincir yang mengalami tekanan yang paling besar. Kata kunci: longsor, pemantauan, robotikABSTRACTMukapayung Kidangpananjung Village, Cililin Subdistrict experienced a landslide disaster in 2013. The hills that surround the village become morphologically disturbed when heavy rain occurs overnight. The hill has a steep slope and has the potential to experience land movement or landslides. If the potential for the vulnerability is triggered by vibrations/earthquakes and an increase in the volume of water, such as rain, the hill can re-experience land movement/landslides. For this reason, monitoring of land movements needs to be carried out in further disaster mitigation efforts. Soil movement monitoring is carried out using a Robotic Total Station which produces a vector of ground movement from monitoring points mounted on the hillside. From the results of the vector of three observation periods, it is known that the direction of ground movement is different for each monitoring point. This indicates that the observed slope has more than one slip plane. When a landslide occurs, the movement direction of land/slope material can move in accordance with the slip plane which is experiencing the greatest pressure. Keywords: landslide, monitoring, robotic

Ketelitian Model Kinematik untuk Memprediksi Karakteristik Longsor (Studi Kasus : Zona Longsor di Ciloto-Puncak, Jawa Barat) Vera Sadarviana; Hasanuddin Z. Abidin; Joenil Kahar; Djoko Santoso; Wedyanto K
Indonesian Journal of Geospatial Vol 1 No 1 (2012)
Publisher : Indonesian Journal of Geospatial

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract. The geodetic approach based on extraterrestrial survey measurements can be used to study phenomenon, especially to monitoring of material movement characteristic. Landslide is one of prominent catastrophe that continuously affecting in Indonesia, especially in rainy season. In mountainous terrain and areas of steep slope of Indonesia, landslides are frequent, especially where land cover has been removed. Landslides destroy not only environment and property, but usually also cause deaths. Landslide mitigation is therefore very crucial and should be done properly. The velocity and acceleration of several monitored point covering the landslide zone area can be estimated using the geodetic approach. Knowing the relation among these three variables in spatial and temporal domain will be useful for identifying the characteristics of landslide. This information can then be used for better strategy of landslide hazard mitigation. Accuracy of the use of kinematic models for prediction of avalanche characteristics need to be validated so that mitigation will be done correctly. Validation is done by doing a comparison between model predictions and the size of the data and statistical tests for the feasibility of prediction of each point of the GPS monitor. Validation is known that the predicted results at some GPS monitor point is not suitable for use. With the vector of the movement of materials, we know the direction and scalar, velocity and acceleration of material displacement. The movement of landslide materials at Ciloto Zone dominated north-west to south-easterly direction and speed to slow very slow (creep). Keywords: accuracy, characteristics, kinematic model, landslide.

ANNUAL AND SEMI-ANNUAL VARIATIONS OF THE GPS-DERIVED PRECIPITABLE WATER VAPOR OVER SUMATRA ISLAND Dudy D. Wijaya; Nabila S.E. Putri; Yan A. Rahmawan; Sidik T. Wibowo; Akhmad Y. Basuki; Muhammad S. Fathulhuda; Vera Sadarviana
Jurnal Meteorologi dan Geofisika Vol 22, No 2 (2021)
Publisher : Pusat Penelitian dan Pengembangan BMKG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/jmg.v22i2.835

We have utilized the Global Positioning System (GPS) data at 57 stations distributed over Sumatra Island to investigate spatio-temporal variations of the atmospheric precipitable water vapor (PWV). We focused on the annual and semi-annual cycles of the PWV. Our results show that Sumatra Island is divided into two distinct areas of annual and semi-annual cycles, where the boundary line between the areas is approximately at 2oS. While the annual cycle dominates the area over the southern side of 2oS, the semi-annual cycle is dominant over the northern side. Our results have further shown that the maximum phase of annual cycle occurs between January-March with considerably large amplitudes (10-15 mm). On the other side, the maximum phase of the semi-annual cycle in general occurs around November and May, whose amplitude is approximately between 1-5 mm. Our results are consistent with other results using rainfall data.

KARAKTERISTIK, TIPE DAN BIDANG GELINCIR PADA ZONA LONGSOR CILOTO, JAWA BARAT BERDASARKAN ESTIMASI METODE GEODETIK Vera Sadarviana; Hasanuddin Z. Abidin; Joenil Kahar; Djoko Santoso
Jurnal Geologi dan Sumberdaya Mineral Vol. 20 No. 2 (2010): Jurnal Sumber Daya Geologi
Publisher : Pusat Survei Geologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33332/jgsm.geologi.v20i2.166

Slip surface is delaminates between sliding material and undisturbed slope material. In limit equilibrium method, slip surface is used as reference for safety factor calculation. Landslides phenomenon can be observed using of GPS satellite technology to mitigation and material displacement monitoring. For that purpose, this research is carried out to estimate characteristic, type and slip surface position at Ciloto landslide zone by GPS survey.First, estimation of slip surface is carried out by slope surface profile which referred to same direction of horizontal displacement of monitored points. The same direction of horizontal displacement at several monitored points indicate that the monitored points can be located at the same slip surface. Second, maximum-minimum function of geometric method and polynomial approach, including graphical method by velocity trend line plotting for each monitored point, were done to find out point position at slip surface. Ideal planar slip surface is determined by infinite slope analysis and circular slip surface is determined by circle arc analysis. Estimation of slip surface by geodetic method approach couldn't give result because geodetic data describe slope surface. By intersection of velocity trend line of monitored point, it can gave estimation of slip surface location. Geodetic approach could gave estimation of scarp position as well as crack which is indicate beginning of slip surface. Locations of scarp in vertical profile have suitability with result of geology research at same study area.Ciloto landslide zone is classified in very slow velocity landslide (5 x 10-5 - 5 x 10-7 mm/second). The characteristic of horizontal displacement has various direction for each monitored point. Vertical displacements of monitored point have subsidence and uplift or bulging. That characteristic formed hummocky terrain and the other side of zone have gradual slope. From the research, the landslide type at Ciloto zone is multiple compound (rotational and translational) debris slides.Keywords : geodetic method, GPS survey, landslide characteristic, landslide type, slip surface, multiple landslide, scarp

ANNUAL AND SEMI-ANNUAL VARIATIONS OF THE GPS-DERIVED PRECIPITABLE WATER VAPOR OVER SUMATRA ISLAND Dudy D. Wijaya; Nabila S.E. Putri; Yan A. Rahmawan; Sidik T. Wibowo; Akhmad Y. Basuki; Muhammad S. Fathulhuda; Vera Sadarviana
Jurnal Meteorologi dan Geofisika Vol. 22 No. 2 (2021)
Publisher : Pusat Penelitian dan Pengembangan BMKG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31172/jmg.v22i2.835

We have utilized the Global Positioning System (GPS) data at 57 stations distributed over Sumatra Island to investigate spatio-temporal variations of the atmospheric precipitable water vapor (PWV). We focused on the annual and semi-annual cycles of the PWV. Our results show that Sumatra Island is divided into two distinct areas of annual and semi-annual cycles, where the boundary line between the areas is approximately at 2oS. While the annual cycle dominates the area over the southern side of 2oS, the semi-annual cycle is dominant over the northern side. Our results have further shown that the maximum phase of annual cycle occurs between January-March with considerably large amplitudes (10-15 mm). On the other side, the maximum phase of the semi-annual cycle in general occurs around November and May, whose amplitude is approximately between 1-5 mm. Our results are consistent with other results using rainfall data.

Evaluasi Model Transformasi Koordinat 3 Dimensi Menggunakan Pendekatan Helmert dan Bursa-Wolf Vidya, Dinda Puspa; Dinna Maulia; Ane Arifa Ditami; M. Nauval Irfandia Wahid; Emiliya Novitasari; Vera Sadarviana
Jurnal Pendidikan, Sains, Geologi, dan Geofisika (GeoScienceEd Journal) Vol. 6 No. 4 (2025): November
Publisher : Mataram University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/goescienceed.v6i4.1519

Transformasi koordinat 3D adalah proses penting dalam mengubah sistem koordinat suatu objek dari satu sistem ke sistem lainnya, seperti yang sering diterapkan dalam grafika komputer, pemodelan 3D, dan pengolahan data geospasial. Penelitian ini mengevaluasi dua model transformasi populer, yaitu Helmert (7 parameter) dan Bursa-Wolf (6 parameter), serta pendekatan dengan hanya tiga parameter translasi. Fokus utama adalah mengidentifikasi blunder pada data titik sekutu menggunakan metode statistik untuk memastikan akurasi transformasi. Hasil penelitian menunjukkan bahwa model Helmert memberikan performa terbaik dengan RMSE total sebesar 0,169786 meter, mencerminkan tingkat akurasi yang tinggi dan kemampuan menangani kompleksitas transformasi. Model Bursa-Wolf juga memberikan hasil yang hampir setara, terutama untuk data tanpa perubahan skala. Sebaliknya, transformasi menggunakan tiga parameter translasi menghasilkan RMSE total sebesar 13,911066 meter, menunjukkan keterbatasan dalam menangani kebutuhan presisi tinggi. Penelitian ini menekankan pentingnya pemilihan model transformasi yang sesuai dengan kebutuhan dan kualitas data. Untuk aplikasi yang membutuhkan akurasi tinggi, seperti pemetaan geospasial atau infrastruktur, model Helmert atau Bursa-Wolf lebih direkomendasikan dibandingkan pendekatan tiga parameter translasi.

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