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COMPARATIVE ANALYSIS BETWEEN AHP MOORA AND AHP-ELECTRE METHOD FOR OPTIMAL ELECTRIC AND SOLAR-POWERED SHIPYARD SITE SELECTION Ispandiari, Ade Ratih; Yustina, Nanda; Qonita, Zulfa; Shabrina, Nurul; Gutami, Nanda Itohasi; Rochyntawati, Annissa; Iskendar, Iskendar
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 4 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss4pp2381-2396

Transportation is the second largest emitter of CO2 in the world, accounting for 25% of total CO2 emissions. To achieve a zero-carbon shipping industry, Indonesia can use its high sun exposure to generate electrical energy by using solar cell technology, which converts solar energy into electrical power. To answer the challenge, this research will start with the site selection of electric and solar-powered shipyards. This research tries to solve the problem of selecting the best location for electric and solar-powered shipyards by using the Multi-Criteria Decision Making (MCDM) method. The purpose of this research is to get the optimal location of electric and solar shipyards using AHP-MOORA and AHP-ELECTRE methods. There are three alternative locations in the location selection. Alternatives 1 and 3 are in Paciran District, Lamongan Regency, East Java Province, and alternative 2 is in Serang Regency, Banten Province. Alternative site 1 has an area of 38 ha and is located in Sidokelar Village, Paciran Sub-district. Decision-makers determine the parameters that will be evaluated from each alternative location, such as slope, soil type, rainfall, and 18 other criteria. In determining the weighting of parameters, a method that has a consistency test is needed so that the weight results obtained are consistent and objective. The study result shows that alternative location 1 is the best location for the electric and solar-powered shipbuilding industry, the same conclusion using the AHP-MOORA Integration approach and the AHP weighting ELECTRE Integration approach.

NUMERICAL MODELING OF THE 1998 PAPUA NEW GUINEA TSUNAMI USING THE COMCOT Qonita, Zulfa; Karima, Shofia; Rusdiansyah, Alfi; Riyandari, Ritha
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 1 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss1pp0349-0360

The Papua New Guinea tsunami of 1998 is a unique phenomenon because the source of the tsunami propagation has been speculated. There was a 7.1-magnitude earthquake on July 17, 1998, at 18:49 WIT before the tsunami hit the Aitape area. However, previous studies have shown that the leading cause of the tsunami was not the earthquake but a submarine landslide. One of the steps to simulating the event is to do tsunami modeling. A tsunami propagation simulation will be conducted using Cornell Multi-grid Coupled Tsunami (COMCOT). This simulation was carried out with three scenarios to see which had the most significant effect on the tsunami event. The first scenario uses a tsunami source from a 7.1 magnitude earthquake, the following scenario is carried out using avalanche parameters, and the last scenario is a scenario with a combined source of earthquake and avalanche. The results of this study indicate that underwater landslides are the source of a tsunami similar to the original event.

Resilience Index and Non-Structural Mitigation in Facing Earthquakes in Bantul Regency Andikasari, Lian Yuanita; Riyandari, Ritha; Qonita, Zulfa; Utami, Dyah Nursita
Geosfera Indonesia Vol. 10 No. 1 (2025): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v10i1.52332

Bantul is one of the regencies in the Special Region of Yogyakarta that was affected by the damage, losses, and casualties due to the Yogyakarta earthquake disaster in 2006. The current condition with the potential for a Megathrust earthquake in the South of Java Island is a special concern in determining the resilience of an area, determining what needs to be improved in preparedness, and providing alternative non-structural mitigation that can be carried out in dealing with earthquakes. This study was conducted to determine the resilience index in social and economic aspects which were then described into six derivative variables. The method used in this study uses literature studies and sequential data analysis. Secondary data is used to calculate the resilience index with predetermined weightings. The results showed that the resilience index in 2021, 2022, and 2023 in the social aspects of 0.985, 0.981, and 0.979 and economic aspects of 1.05, 1.08, and 1.06. During these three years, the index resilience of the social aspect has decreased so mitigation was needed to increase social aspect resilience and prepare the community to face earthquake disasters. One of the non-structural mitigation efforts that can be done is by providing education or training. The economic aspect also needs to be improved with several non-structural mitigation alternatives such as increasing and creating jobs and developing micro, small, and medium enterprises by maximizing the potential of local resources.

Resilience Index and Non-Structural Mitigation in Facing Earthquakes in Bantul Regency Andikasari, Lian Yuanita; Riyandari, Ritha; Qonita, Zulfa; Utami, Dyah Nursita
Geosfera Indonesia Vol. 10 No. 1 (2025): GEOSFERA INDONESIA
Publisher : Department of Geography Education, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/geosi.v10i1.52332

Bantul is one of the regencies in the Special Region of Yogyakarta that was affected by the damage, losses, and casualties due to the Yogyakarta earthquake disaster in 2006. The current condition with the potential for a Megathrust earthquake in the South of Java Island is a special concern in determining the resilience of an area, determining what needs to be improved in preparedness, and providing alternative non-structural mitigation that can be carried out in dealing with earthquakes. This study was conducted to determine the resilience index in social and economic aspects which were then described into six derivative variables. The method used in this study uses literature studies and sequential data analysis. Secondary data is used to calculate the resilience index with predetermined weightings. The results showed that the resilience index in 2021, 2022, and 2023 in the social aspects of 0.985, 0.981, and 0.979 and economic aspects of 1.05, 1.08, and 1.06. During these three years, the index resilience of the social aspect has decreased so mitigation was needed to increase social aspect resilience and prepare the community to face earthquake disasters. One of the non-structural mitigation efforts that can be done is by providing education or training. The economic aspect also needs to be improved with several non-structural mitigation alternatives such as increasing and creating jobs and developing micro, small, and medium enterprises by maximizing the potential of local resources.

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