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All Journal JUITA : Jurnal Informatika Surya Abdimas Spatial : Wahana Komunikasi dan Informasi Geografi
Rahmawati Rahmawati
Geography Study Program, Social Sciences Department, Teacher Training And Education Faculty, Tadulako University, Palu, INDONESIA
Humanities Computer Science & IT Earth & Planetary Sciences Education Environmental Science Social Sciences Other

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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

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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.
Co-Authors Amalia Novarita Anita Ahmad Kasim Arifuddin Abd Muis Aziz Budianta Ferdi Ferdi Irwan Mahmudi Iwan Alim Saputra Muhammad Bakri Rendra Zainal Maliki Risma Fadhila Arsy Zulnabil Zulnabil ZUMROTIN NISA