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All Journal Jurnal Informatika Jurnal Geologi dan Sumberdaya Mineral (Journal of Geology and Mineral Resources)
Saadia, Aprilia Ode
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Chemistry Computer Science & IT Earth & Planetary Sciences Energy

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Expert System of Error Tracking Automated Weather Observing System Using Certainty Factor Method Based on Android Application M Djibran, Halis; Purba, Joshua; Saadia, Aprilia Ode; Restele, La Ode; Hasria, Hasria
Jurnal Informatika Vol 12, No 1 (2025): April
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/inf.v12i1.22536

Abstract

The limited number of technicians at several BMKG UPT (Task Implementation Units) in Indonesia is the main background of this research. Especially in the field of Aviation Meteorology, which has a significant safety risk for equipment data users. This can be made easier with an expert system. The fault tracking expert system aims to provide information about the symptoms of damage that occur in the Automated Weather Observing System (AWOS) so that it can make it easier for BMKG technicians to repair and handle the equipment. This research stage begins with collecting information data through experts and literature sources regarding AWOS equipment, then calculating the certainty value of the information using the certainty factor method, and produce information that will be displayed through the application. The system uses a Certainty Factor calculation method that presents the calculation of the certainty value of information based on the percentage of information delivery by the source, this method is used in accordance with the type of research that utilizes information from sources or experts in the AWOS field. The resulting system is an android application consisting of several knowledge bases stored in the MySQL database on the server. The results of the data analysis show that the resulting system can be used on the user's smartphone, and users can consult AWOS equipment damage properly. In addition, users can also view the consultation history and damage list. The application user satisfaction questionnaire shows the system has worked and fulfilled the function for users by showing a value of 33.3% Very Good and 66.7% Good.
Analisis Deformasi Permukaan akibat Gempabumi pada 28 September 2018 di Kota Palu menggunakan Metode DInSAR dan Hubungannya dengan Sebaran Vs30 Saadia, Aprilia Ode; Purba, Joshua; Hasria, Hasria; Jaya, LM. Golok; Pertiwi, Imanuela Indah; Djibran, Halis M.
Jurnal Geologi dan Sumberdaya Mineral Vol. 26 No. 3 (2025): JURNAL GEOLOGI DAN SUMBERDAYA MINERAL
Publisher : Pusat Survei Geologi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33332/jgsm.geologi.v26i3.967

Abstract

Penelitian ini dilatarbelakangi oleh kejadian deformasi yang terjadi akibat gempabumi pada 28 September 2018 di Kota Palu. Penelitian ini bertujuan untuk mengetahui nilai deformasi akibat gempa M 7,4 di Kota Palu 2018 dan mengetahui hubungan deformasi dengan Vs30. Penggunaan metode DInSAR digunakan untuk mengetahui perubahan deformasi yang terjadi akibat gempa tersebut dengan menggunakan data sentinel 1A pada tanggal 07 Juni 2018 (sebelum gempa) dan 22 November 2018 (sesudah gempa). Hasil penelitian menunjukkan adanya penurunan (subsidence) hingga 23 cm dan pengangkatan (uplift) hingga 13 cm di wilayah Kota Palu. Wilayah dengan nilai Vs30 rendah cenderung mengalami penurunan akibat tanah lunak, sedangkan wilayah dengan nilai Vs30 tinggi cenderung mengalami kenaikan akibat tanah keras. Namun demikian, terjadi anomali pada wilayah Kecamatan Ulujadi dan Kecamatan Palu Selatan. Penggunaan data Vs30 menunjukkan bahwa nilai Vs30 dapat digunakan sebagai indikator awal untuk memprediksi area dengan potensi deformasi akibat gempa. Hal tersebut penting untuk pengembangan strategi mitigasi bencana, misalnya dalam penentuan zona aman untuk pembangunan. Kata Kunci: Deformasi, Metode DInSAR, Sentinel 1A, Vs30Kota Palu Abstract This research is motivated by the deformation event that occurred due to the earthquake on September 28, 2018 in Palu City. This research aims to determine the value of deformation due to the M 7.4 earthquake in Palu City in 2018, and to determine the relationship between deformation and Vs30. The DInSAR method was used to determine the deformation changes due to the earthquake using Sentinel 1A data on June 07, 2018 (pre-earthquake) and November 22, 2018 (post-earthquake). The analysis results showed subsidence of up to 23 cm and uplift of up to 13 cm in the city of Palu. Areas with low Vs30 values tend to experience subsidence due to soft soils, whereas areas with high Vs30values tend to experience uplift due to hard soil. However, anomalies occurred in Ulujadi and South Palu subdistricts. The use of Vs30data shows that Vs30valuescan be used as an early indicator to predict areas with potential earthquake-induced deformation. It is important for the development of disaster mitigation strategies, such as determining safe zones for development. Keywords: Deformation, DInSAR method, Sentinel 1A, Vs30, Palu City
Co-Authors Djibran, Halis M. Hasria Hasria, Hasria Imanuela Indah Pertiwi Jaya, LM. Golok M Djibran, Halis Purba, Joshua Restele, La Ode