Pemanfaatan Sistem Informasi Geografis Berbasis Web dalam Meningkatkan Akurasi Informasi Terkait Rekam Jejak Sumur Minyak dan Gas Bumi

Authors

  • Ashari Wicaksono Program Studi Ilmu Kelautan Universitas Trunojoyo
  • Zainul Hidayah Universitas Trunojoyo

DOI:

https://doi.org/10.23887/jstundiksha.v11i2.43553

Keywords:

SIG, WebGIS, Sumur Migas

Abstract

Perkembangan webgis yang saat ini belum ada pembaruan berdasarkan kondisi lapang yang terkini sehingga perlu adanya pembaruan dalam manajemen data geospasial melalui webgis Penelitian ini bertujuan untuk menganalisis pemanfaatan sistem informasi geografis berbasis WEB dalam meningkatkan akurasi informasi terkait rekam jejak sumur minyak dan gas bumi. Metode yang digunakan dalam penelitian ini adalah survei lapang dalam mendapatkan informasi yang akurat. Survei lapang (ground check) dilaksanakan untuk validasi data geospasial. Hasil penelitian menunjukkan bahwa penggunaan QGIS sebagai pembuatan webgis dapat memberikan hasil yang baik pada saat dioperasikan melalui komputer ataupun telepon seluler. Pembaruan data informasi dilakukan dengan survei lapang, dimana dari hasil tersebut bahwa perusahaan yang melakukan eksplorasi sudah tidak melakukan pengeboran di lokasi tersebut. Perangkat lunak QGIS terbukti mampu memberikan hasil yang baik dengan memanfaatkan alat tambahan QGIS Cloud karena dalam pengolahan datanya dapat dilakukan secara daring dan luring. Kesimpulan yang didapatkan bahwa data pengeboran perlu adanya pembaruan dalam memberikan informasi yang akurat dan relevan.

References

Abdunaser, K. (2020). Spatio-temporal analysis of oil lake and oil-polluted surfaces from remote sensing data in one of the Libyan oil fields. Scientific Reports, 10(1). https://doi.org/10.1038/s41598-020-76992-5.

Agurto, G., Andrade, E., Tomalá, C., Domínguez, C., Guillén, P., Jaramillo, K., Lavorato, A., Condor-Lujan, B., Chalén, B., Avellaneda, K., Thomas, O., Sonnenholzner, S., Sánchez-Rodríguez, A., Pacheco, D., Choez, F., & Rodríguez, J. (2018). Neotropical Biodiversity Database and WebGIS: tools for integration and access to biodiversity information of invertebrates of the marine reserve “El Pelado” (REMAPE). Neotropical Biodiversity, 4(1), 173–178. https://doi.org/10.1080/23766808.2018.1553380.

Anam, K., & Yunus, M. (2019). Android GIS-Based Information System Applying Dijkstra Algorithm For Finding The Nearest Tourist Spots in Sumenep District. Ijconsist Journals, 1(1), 1–5.

Bahri, S., Midyanti, D. M., & Hidayati, R. (2020). Pemanfaatan QGIS Untuk Pemetaan Fasilitas Layanan Masyarakat Di Kota Pontianak. CESS (Journal of Computer Engineering, System and Science), 5(1), 70. https://doi.org/10.24114/cess.v5i1.15666.

Barik, R. K., Dubey, H., Mankodiya, K., Sasane, S. A., & Misra, C. (2019). GeoFog4Health: a fog-based SDI framework for geospatial health big data analysis. Journal of Ambient Intelligence and Humanized Computing, 10(2), 551–567. https://doi.org/10.1007/s12652-018-0702-x.

Capolupo, A., Monterisi, C., Saponieri, A., Addona, F., Damiani, L., Archetti, R., & Tarantino, E. (2021). An interactive webgis framework for coastal erosion risk management. Journal of Marine Science and Engineering, 9(6). https://doi.org/10.3390/jmse9060567.

Cintya Prabandari, L. P., & Adhi Jaya, A. A. N. (2019). Sistem Informasi Kompilasi Data Tugas Akhir Politeknik Ganesha Guru. JST (Jurnal Sains Dan Teknologi), 8(2). https://doi.org/10.23887/jst-undiksha.v8i2.21862.

Costantino, D., Angelini, M. G., Alfio, V. S., Claveri, M., & Settembrini, F. (2020). Implementation of a system WebGIS open-source for the protection and sustainable management of rural heritage. Applied Geomatics, 12(1), 41–54. https://doi.org/10.1007/s12518-019-00275-6.

De Lázaro Torres, M. L., De Miguel González, R., & Yago, F. J. M. (2017). WebGIS and geospatial technologies for landscape education on personalized learning contexts. ISPRS International Journal of Geo-Information, 6(11). https://doi.org/10.3390/ijgi6110350.

Egri, G., & Bayrak, C. (2014). The role of search engine optimization on keeping the user on the site. Procedia Computer Science, 36(C), 335–342. https://doi.org/10.1016/J.PROCS.2014.09.102.

Fargher, M. (2018). WebGIS for geography education: Towards a GeoCapabilities approach. ISPRS International Journal of Geo-Information, 7(3), 111. https://doi.org/10.3390/ijgi7030111.

Fargher, Mary. (2018). WebGIS for geography education: Towards a GeoCapabilities approach. ISPRS International Journal of Geo-Information, 7(3). https://doi.org/10.3390/ijgi7030111.

Fauzia, Surinaidu, L., Rahman, A., & Ahmed, S. (2021). Distributed groundwater recharge potentials assessment based on GIS model and its dynamics in the crystalline rocks of South India. Scientific Reports, 11(1), 11772. https://doi.org/10.1038/s41598-021-90898-w.

Febrianto, A. D., Purwanto, P., & Irawan, L. Y. (2021). Pengaruh penggunaan media Webgis Inarisk terhadap kemampuan berpikir spasial siswa pada materi mitigasi dan adaptasi bencana. Jurnal Pendidikan Geografi: Kajian, Teori, Dan Praktek Dalam Bidang Pendidikan Dan Ilmu Geografi, 26(2), 73–84. https://doi.org/10.17977/um017v26i22021p073.

Feng, X., Zhang, Z., & He, Y. (2012). Analysis on chemical industry park emergency drill escape paths based on WebGIS. Procedia Engineering, 45, 722–726. https://doi.org/10.1016/j.proeng.2012.08.230.

Fortunato, A. B., Oliveira, A., Rogeiro, J., Tavares da Costa, R., Gomes, J. L., Li, K., de Jesus, G., Freire, P., Rilo, A., Mendes, A., Rodrigues, M., & Azevedo, A. (2017). Operational forecast framework applied to extreme sea levels at regional and local scales. Journal of Operational Oceanography, 10(1), 1–15. https://doi.org/10.1080/1755876X.2016.1255471.

Franceschini, R., Rosi, A., Catani, F., & Casagli, N. (2022). Exploring a landslide inventory created by automated web data mining: the case of Italy. Landslides. https://doi.org/10.1007/s10346-021-01799-y.

Gang, S. M., Choi, H. W., Kim, D. R., & Choung, Y. J. (2016). A Study on the Construction of the Unity 3D Engine Based on the WebGIS System for the Hydrological and Water Hazard Information Display. Procedia Engineering, 154, 138–145. https://doi.org/10.1016/j.proeng.2016.07.431.

Gebreegziabher, T., Suryabhagavan, K. V., & Kumar Raghuvanshi, T. (2021). WebGIS-based decision support system for soil erosion assessment in Legedadi watershed, Oromia Region, Ethiopia. Geology, Ecology, and Landscapes, 00(00), 1–18. https://doi.org/10.1080/24749508.2021.1924441.

Gozali, F., & Lo, B. (2012). Pemanfaatan Teknologi Open Source Dalam Pengembangan Proses Belajar Jarak Jauh di Perguruan Tinggi. Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI), 1(1), 47–57. https://doi.org/10.23887/janapati.v1i1.9767.

Grecea, C., Herban, S., & Vilceanu, C. B. (2016). WebGIS Solution for Urban Planning Strategies. Procedia Engineering, 161, 1625–1630. https://doi.org/10.1016/j.proeng.2016.08.637.

Grizonnet, M., Michel, J., Poughon, V., Inglada, J., Savinaud, M., & Cresson, R. (2017). Orfeo ToolBox: open source processing of remote sensing images. Open Geospatial Data, Software and Standards, 2(1). https://doi.org/10.1186/s40965-017-0031-6.

Hari Ginardi, R. V., Gunawan, W., & Wardana, S. R. (2017). WebGIS for Asset Management of Land and Building of Madiun City Government. Procedia Computer Science, 124, 437–443. https://doi.org/10.1016/j.procs.2017.12.175.

Helmi, A. M., Farhan, M. S., & Nasr, M. M. (2018). A framework for integrating geospatial information systems and hybrid cloud computing. Computers and Electrical Engineering, 67, 145–158. https://doi.org/10.1016/j.compeleceng.2018.03.027.

Hidayah, Z. (2019). Penerapan SIG dalam Menentukan Kondisi Kritis dan Model Rehabilitasi Ekosistem Bakau pada Daerah Pesisir Selatan Pamekasan, Madura [ GIS Application to Determine Critical Condition and Rehabilitation Model of Mangrove Ecosystem in Southern Coast of Pameka. Jurnal Ilmiah Perikanan Dan Kelautan, 7(1), 79. https://doi.org/10.20473/jipk.v7i1.11238.

Hidayah, Z., & Wiyanto, D. B. (2021). Pemodelan Sistem Informasi Geografis untuk Pemetaan Kesesuaian Wilayah Perairan dan Pesisir Selat Madura. Rekayasa, 14(1), 17–25. https://doi.org/10.21107/rekayasa.v14i1.9987.

Howell, R. G., Petersen, S. L., Balzotti, C. S., Rogers, P. C., Jackson, M. W., & Hedrich, A. E. (2019). Using WebGIS to Develop a Spatial Bibliography for Organizing, Mapping, and Disseminating Research Information: A Case Study of Quaking Aspen. Rangelands, 41(6), 244–247. https://doi.org/10.1016/j.rala.2019.10.001.

Jing-wei, H. O. U., Ke-li, J. I. A., & Xue-jun, J. (2019). Teaching evaluation on a WebGIS course based on dynamic self-adaptive teaching – learning-based optimization. 0–2.

Khan, M. J., & Hasan, S. A. (2020). GIS- Based Screening Model of Coastal City Karachi for Plantation of Biofuel Source. Scientific Reports, 10(1). https://doi.org/10.1038/s41598-020-61052-9.

Kidambi, P., & Narayanan, S. (2013). Personalized interactive storyboarding utilizing content based multimedia retrieval. IFAC Proceedings Volumes (IFAC-PapersOnline), 12(PART 1), 526–532. https://doi.org/10.3182/20130811-5-US-2037.00098.

Klug, H., Dabiri, Z., Hochwimmer, B., & Zalavari, P. (2012). Assessing drinking water consumption by inhabitants and tourists in the Alps using a WebGIS for information distribution. International Journal of Biodiversity Science, Ecosystem Services & Management, 8(2), 50–70. https://doi.org/10.1080/21513732.2012.680499.

La Guardia, M., D’ippolito, F., & Cellura, M. (2021). Construction of a webgis tool based on a gis semiautomated processing for the localization of p2g plants in sicily (Italy). ISPRS International Journal of Geo-Information, 10(10). https://doi.org/10.3390/ijgi10100671.

Li, Z. (2020). Pipeline spatial data modeling and pipeline webGIS: Digital oil and gas pipeline: Research and practice. In Pipeline Spatial Data Modeling and Pipeline WebGIS: Digital Oil and Gas Pipeline: Research and Practice. Springer International Publishing. https://doi.org/10.1007/978-3-030-24240-4.

Lovelace, R. (2021). Open source tools for geographic analysis in transport planning. Journal of Geographical Systems, 23(4), 547–578. https://doi.org/10.1007/s10109-020-00342-2.

Marra, W. A., Van De Grint, L., Alberti, K., & Karssenberg, D. (2017). Journal of Geography in Higher Education Using GIS in an Earth Sciences field course for quantitative exploration, data management and digital mapping Using GIS in an Earth Sciences field course for quantitative exploration, data management and digital mapping. Journal of GeoGraphy in HiGher, 41(2), 213–229. https://doi.org/10.1080/03098265.2017.1291587.

Mooney, P., & Juhász, L. (2020). Mapping COVID-19: How web-based maps contribute to the infodemic. In Dialogues in Human Geography (Vol. 10, Issue 2, pp. 265–270). https://doi.org/10.1177/2043820620934926.

Nadhom, M., & Loskot, P. (2018). Survey of public data sources on the Internet usage and other Internet statistics. Data in Brief, 18, 1914–1929. https://doi.org/10.1016/j.dib.2018.04.107.

Pastor, M., Gómez-Tamayo, J. C., & Sanz, F. (2021). Flame: an open source framework for model development, hosting, and usage in production environments. Journal of Cheminformatics, 13(1). https://doi.org/10.1186/s13321-021-00509-z.

Piragnolo, M., Pirotti, F., Zanrosso, C., Lingua, E., & Grigolato, S. (2021). Responding to large-scale forest damage in an alpine environment with remote sensing, machine learning, and Web-GIS. Remote Sensing, 13(8). https://doi.org/10.3390/rs13081541.

Pramoedyo, H., Wayan, N. I., Wardhani, S., Saraswati, E., Rosilawati, R., & Matematika, J. (2012). Spatial Analysis and Multiple Regression Approach for Determining Soil Organic Material in Sampang Regency. Natural B, Journal of Health and Environmental Sciences, 1(1), 27–34.

Presthus, W., & Vatne, D. M. (2019). 2 Wanda Presthus and Dina Marie Vatne. Procedia Computer Science, 164, 0–000. https://doi.org/10.1016/j.procs.2019.12.152.

Rodríguez, G., Perez, J., Cueva, S., & Torres, R. (2017). Accessibility and usability OCW data: The UTPL OCW. Data in Brief, 13, 582–586. https://doi.org/10.1016/j.dib.2017.06.007.

Russell, R., Paterson, M., Kumar, L., Taylor, S., & Lima, N. (2015). Future climate effects on suitability for growth of oil palms in Malaysia and Indonesia. Nature Publishing Group, 5, 14457. https://doi.org/10.1038/srep14457.

Sciacca, E., Krokos, M., Bordiu, C., Brandt, C., Vitello, F., Bufano, F., Becciani, U., Raciti, M., Tudisco, G., Riggi, S., Topa, E., Azzi, S., Kyd, B., Mantovani, S., Vettorello, L., Tan, J., Quintana, J., Campos, R., Pina, N., … Campos, R. (2022). Scientific Visualization on the Cloud: the NEANIAS Services towards EOSC Integration. Journal of Grid Computing, 20, 7. https://doi.org/10.1007/s10723-022-09598-y.

Serrano-Estrada, L., Martin, T. J., & Marti, P. (2021). Understanding city dynamics: using geolocated social media in a problem-based activity as an investigative tool to enhance student learning. Journal of Geography in Higher Education. https://doi.org/10.1080/03098265.2021.2004390.

Sholikhan, M., Prasetyo, S. Y. J., & Hartomo, K. D. (2019). Pemanfaatan WebGIS untuk Pemetaan Wilayah Rawan Longsor Kabupaten Boyolali dengan Metode Skoring dan Pembobotan. JuTiSi, 5(1). https://doi.org/10.28932/jutisi.v5i1.1588.

Tu, S., & Abdelguerfi, M. (2006). Web services for geographic information systems. IEEE Internet Computing, 10(5), 13–15. https://doi.org/10.1109/MIC.2006.114.

Utomo, B. (2017). Sistem Pemantauan Siswa Sekolah Berbasis Web (Studi Kasus : Pondok Pesantren Darul Muttaqien). Jurnal Online Mahasiswa (JOM) Bidang Ilmu Komputer/Informatika, 1(1), 1–7. http://jom.unpak.ac.id/index.php/ilkom/article/view/493/468.

Valensise, G., Donda, F., Tamaro, A., Rosset, G., & Parolai, S. (2022). Gas fields and large shallow seismogenic reverse faults are anticorrelated. Scientific Reports, 12(1), 1827. https://doi.org/10.1038/s41598-022-05732-8.

Voda, M., Kithiia, S., Jackiewicz, E., Du, Q., & Sarpe, C. A. (2019). Geosystems‘ Pathways to the Future of Sustainability. Scientific Reports, 9(1). https://doi.org/10.1038/s41598-019-50937-z.

Widarsono, B. (2013). Cadangan dan Produksi Gas Bumi Nasional : Sebuah Analisis atas Potensi dan Tantangannya National Natural Gas Reserves and Production : An Analysis on Potentials and Challenges. Lembaran Publikasi Minyak Dan Gas Bumi, 47, No.3(December 2013), 115–126.

Widyagdo, B. A., Suprayogi, A., & Subiyanto, S. (2019). Sistem Informasi Geografis Sebaran Fasilitas Penunjang Pertanian Dan Peternakan Berbasis WEB (Studi Kasus : Kecamatan Dempet Kabupaten Demak). Jurnal Geodesi Undip, 8(3), 37–45.

Xia, J., Yang, C., Liu, K., Gui, Z., Li, Z., Huang, Q., & Li, R. (2015). Adopting cloud computing to optimize spatial web portals for better performance to support Digital Earth and other global geospatial initiatives. International Journal of Digital Earth, 8(6), 451–475. https://doi.org/10.1080/17538947.2014.929750.

Xianfu, F., Zhang, Z., & Yansong, H. E. (2012). Analysis on chemical industry park emergency drill escape paths based on WebGIS. Procedia Engineering, 45, 722–726. https://doi.org/10.1016/j.proeng.2012.08.230.

Zhao, S., & Chen, T. (2017). Design and development of national geographic condition monitoring system based on WebGIS. GeoloGy, 1(1), 12–18. https://doi.org/10.1080/24749508.2017.1301054.

Zhu, Z., Wang, H., Gao, L., Gao, X., Meng, X., Xu, Y., & Xiao, J. (2021). Monitoring and early warning system of porcine pasteurellosis based on WebGIS. Information Processing in Agriculture, 8(1), 148–158. https://doi.org/10.1016/j.inpa.2020.02.006.

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2022-08-15

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