Claim Missing Document
Check
Articles

Found 7 Documents
Search

Vulnerability zoning of earthquake disaster of Palu H Rusydi; Rustan Effendi; Rahmawati Rahmawati
International Journal of Science and Applied Science: Conference Series Vol 1, No 2 (2017): International Conference on Science and Applied Science (Engineering and Educati
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (847.03 KB) | DOI: 10.20961/ijsascs.v1i2.5138

Abstract

Palu is the area traversed by Palu-Koro faults and some small faults arround, which causes the frequent occurrence of earthquakes in Palu. Therefore, this study aims to determine the vulnerability of earthquake zone. Determination of this zona is one way to reduce the risk of earthquake disaster. This study used two methods, they are are descriptive and overlay weighted sum. For the overlay of data processing method using GIS application. The result of the study showed 45 district in Palu, 12 district located in low vulnerability zone, 11 district located in moderate vulnerability zone and 22 district located in high vulnerability zone.
PENGEMBANGAN MODEL PEMBELAJARAN KEBENCANAAN BERBASIS KEWILAYAHAN DI TINGKAT SEKOLAH MENENGAH ATAS Rahmawati; Zumrotin Nisa; Amalia Novarita
SPATIAL: Wahana Komunikasi dan Informasi Geografi Vol 21 No 2 (2021): Spatial : Wahana Komunikasi dan Informasi Geografi
Publisher : Department Geography Education Faculty of Social Science - Universitas Negeri Jakarta

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

Abstract

The earthquake, tsunami and liquefaction incident on 28 September 2018 caused huge casualties. This research is a type of R&D research by following the ADDIE development up to stage 5, analysis, design, develop, implementation, and evaluation. The population were students and teachers in class XI Senior High School in Sigi Regency. Data collection techniques and instruments were carried out through tests and non-tests which included interviews, observations, questionnaires, validation instruments, knowledge test questions. The results of study indicate the feasibility of products that have been validated by experts is at a decent qualification, namely 80%. The learning equipment products were stated to be very practical by the teacher, 89.93% and practical by the students, namely 77.97% for the SETS learning and 75.50% for the practicality of the disaster mitigation and adaptation modules. The results of the effectiveness test were declared effective in the medium category with a score of 0.40.
Pendampingan Pemetaan Partisipatif Sekolah Siaga Bencana Rendra Zainal Maliki; Risma Fadhila Arsy; Rahmawati Rahmawati; Arifuddin Abd Muis
Surya Abdimas Vol. 7 No. 1 (2023)
Publisher : Universitas Muhammadiyah Purworejo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37729/abdimas.v7i1.2322

Abstract

Salah satu strategi dalam pengurangan risiko bencana adalah dengan peningkatan pemahaman dan kapasitas individu maupun masyarakat terhadap bencana. Lembaga pendidikan sebagai salah satu ruang publik dituntut harus mampu mengelola risiko bencana sesuai dengan ancaman yang ada di wilayah sekitarnya. Melalui penerapan pendidikan sekolah siaga bencana maka secara tidak langsung melatih guru dan sisiwa dalam mitigasi bencana di sekolah mereka. Tujuan utama dalam pengabdian ini adalah agar warga sekolah memiliki ketahanan dan ketangguhan dalam menghadapi bencana melalui sekolah siaga bencana. Pelaksanaan kegiatan pengabdian masyarakat ini menggunakan metode pendampingan. Pelaksanaan kegiatan Participatory Mapping dibedakan menjadi 3 tahapan, yaitu tahap persiapan, tahap pelaksanaan, dan tahap analisis. Tahap persiapan merupakan tahapan pengumpulan data primer. Pengumpulan data primer untuk penyusunan peta-peta dasar. Tahap pelaksanaan merupakan tahap peserta kegiatan melakukan pelatihan untuk membuat peta denah sekolah. Tahap analisis merupakan tahap akhir kegiatan dengan menjelaskan dan mendiskripsikan peta denah sekolah. Hasil dari refeksi, observasi, serta inventarisasi dari kelompok kemudian dideskripsikan dan divisualisasikan dengan pembuatan denah peta lingkungan sekolah. Proses pemetaan lingkungan denah sekolah dilakukan secara partisipatif, terutama untuk menentukan jalur evakuasi dan titik kumpul apabila sewaktu-waktu terjadi bencana. Kegiatan pengabdian kepada masyarakat ini dilakukan sebagai salah satu sarana bagi mitra yaitu sekolah dalam rencana tanggap darurat bencana. Pelibatan seluruh komunitas sekolah sangat penting terhadap literasi kebencanaan. Kegiatan ini telah menumbuhkan peningkatan pemahaman komunitas sekolah dalam kebencanaan khususnya di sekolah rawan bencana.
Artificial Intelligent for Human Emotion Detection with the Mel-Frequency Cepstral Coefficient (MFCC) Anita Ahmad Kasim; Muhammad Bakri; Irwan Mahmudi; Rahmawati Rahmawati; Zulnabil Zulnabil
JUITA: Jurnal Informatika JUITA Vol. 11 No. 1, May 2023
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/juita.v11i1.15435

Abstract

Emotions are an important aspect of human communication. Expression of human emotions can be identified through sound. The development of voice detection or speech recognition is a technology that has developed rapidly to help improve human-machine interaction. This study aims to classify emotions through the detection of human voices. One of the most frequently used methods for sound detection is the Mel-Frequency Cepstrum Coefficient (MFCC) where sound waves are converted into several types of representation. Mel-frequency cepstral coefficients (MFCCs) are the coefficients that collectively represent the short-term power spectrum of a sound, based on a linear cosine transform of a log power spectrum on a nonlinear mel scale of frequency. The primary data used in this research is the data recorded by the author. The secondary data used is data from the "Berlin Database of Emotional Speech" in the amount of 500 voice recording data. The use of MFCC can extract implied information from the human voice, especially to recognize the feelings experienced by humans when pronouncing the sound. In this study, the highest accuracy was obtained when training with epochs of 10000 times, which was 85% accuracy.
Contract Staff Acceptance Selection Using Simple Additive Weighting (SAW) Method Dewi Kusumawati; Diana Grace; Muh Rusydi; Rahmawaty; Hajra Rasmita Ngemba; Nurul Hidayat; Siti Rahmawati
Tadulako Science and Technology Journal Vol. 1 No. 1 (2020): TADULAKO SCIENCE AND TECHNOLOGY JOURNAL
Publisher : LPPM Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/sciencetech.v1i1.15293

Abstract

Introduction : Technology is a supporter in making decisions made by a top-level leader. Good decision making will produce a good decision. An example of decision making is the determination of an honorary employment appointment at an agency. In some areas, there are still various offices or government agencies whose recruitment process has not been carried out professionally, but still in the usual ways in the environment such as friendship or family relations. This research designed a web-based decision support system application using SAW method to support the labor selection process at the Class II Agricultural Quarantine Center in Palu. The type of research conducted is qualitative descriptive study. The system development method used in this research is Waterfall development. Waterfall method is the workmanship of a system carried out sequentially or linearly. The analytical method used is Simple Additive Weighting (SAW). This method used because the basic concept of SAW method is to find a weighted sum of the performance ratings on each alternative of all attributes. The programming language used is PHP, while the database used is MySQL. The method used to test this system is black box testing method. Based on manual calculations as a comparison with the calculation of the system built, it can be obtained same results for its value. In addition, the results of ranking was obtained, where the alternative manual calculation that has the highest value is Fadila with a vector value of 1.00.
MAPPING THE LEVEL OF PREPAREDNESS COMMUNITY FOR EARTHQUAKE DISASTER USING SPATIAL APPROACH IN CENTRAL OF SULAWESI Amalia Novarita; Rahmawati Rahmawati; Exsa Putra
GeoEco Vol 11, No 1 (2025): GeoEco January 2025
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ge.v11i1.93788

Abstract

The impact of earthquakes and floods in the Kulawi, Central  Sulawesi district informed the choice of research location. The primary feature of this research site is the general lack of community readiness for local calamities. This study aims to assess the degree of community readiness for earthquake disasters using the Spatial Approach, which provides a succinct and precise description  of the entire study. Spatially-based quantitative descriptive method. use the CVR (Content Validity Ratio) approach to assess the questionnaire's validity and the AHP (Analytical Hierarchy Process) method. The community's comprehension of the spatial approach that exists in the surrounding environment and is connected to the possibility of disaster as both a risk component and a vulnerability factor is the unresolved issue. Thus, the community needs to imitate obtaining progressively greater knowledge about disasters. Despite the most weight (25), earthquake-resistant infrastructure highlights the significance of high-quality building construction and the presence of emergency facilities to lower the danger of damage and casualties. The requirement for training and simulations to improve the community's comprehension of preparedness measures is shown by the 20-point weight assigned to mitigation and community awareness. With a weight of 20, the Early Warning System emphasises the efficiency and dissemination of information to provide the public adequate time to take action before a crisis strikes. With a weight of 15, coordination and rapid response help to speed up disaster management by fostering agency collaboration and prompt action. On the other hand, logistics readiness, which has a weight of 10, places a strong emphasis on having emergency supplies like food and water.
ANALYSIS OF SUITABILITY LAND FOR FLOOD-FREE SETTLEMENT IN BAOLAN DISTRICT TOLITOLI REGENCY Ferdi Ferdi; Iwan Alim Saputra; Rahmawati Rahmawati; Aziz Budianta
GeoEco Vol 9, No 1 (2023): GeoEco January 2023
Publisher : Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ge.v9i1.55499

Abstract

Baolan District, Tolitoli Regency, as a urban area is quite worrying, because it is often hit by floods. The settlement area is an area that is often affected, because the settlement area of Baolan District is in the vulnerable to very vulnerable class. This research was conducted in Baolan District from April to August 2021. The tools and materials used in this study were: a laptop, ArcGis 10.4 software, and secondary data (rainfall data, DEM data or Digital Elevation Model, soil type maps, and maps). RBI scale 1:50000). This type of research is quantitative descriptive with a spatial approach and using saturated sampling rules obtained from the entire population. The purpose of this study was to determine the distribution and level of suitability of land designated for flood-free settlements in Baolan District. The results of the analysis show that the suitability class that has the largest distribution area is the QS class (Quite Suitable) with an area of 31570.148 or 79.97%. Class S (Suitable) is the class with the smallest area of distribution, which is 538.892 or 1.37%, while the other class is class that is not suitable (N) with an area of 7368.287 or 18.66%. Class S (Suitable) indicates that the class is very wide good if it is developed for a useful area and inversely proportional to class N (Not Suitable). While QS (Quite suitable) is a class that is good enough to be developed into a useful area, but there are several things to consider. the condition of the area is quite steep and the topography is high, as a result it will cause natural hazards such as erosion and land slides. Another thing to consider is the area that covers the rain catchment area which should be predominantly functioned as a buffer zone.