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All Journal Semeton Mathematics Journal Jurnal Wicara Desa
Septiawan, Redza Dwi
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Agriculture, Biological Sciences & Forestry Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Mathematics Public Health Social Sciences

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MENINGKATKAN KESADARAN MASYARAKAT DESA PRINGGAJURANG UTARA TERHADAP BENCANA LONGSOR MELALUI PENIDIKAN DAN PELATIHAN MITIGASI BENCANA Salman; Aryaguna, Lalu Wangsa; Sumarti, Elinda; Anggraeni, Dea Tri Maya; Mintari Aprillisa; Isnani, Septiya Rahmatul; Nanda Salsabilah; Pratama, M.Febrian Ulmayadi; Wirantino, Lalu Pikya; Septiawan, Redza Dwi; Nasari, Linda
Jurnal Wicara Vol 2 No 1 (2024): Jurnal Wicara Desa
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/wicara.v2i1.4207

Abstract

Disaster resilient villages (Destana) are villages/sub-districts that have the independent ability to adapt and face potential disaster threats, as well as recover immediately from the detrimental impacts of disasters. The aim of the Disaster Resilient Village is to realize development planning that contains efforts to prevent, prepare, reduce disaster risk and increase capacity for post-emergency recovery so that it can increase community awareness in North Pringgajurang village regarding landslides which often occur in several hamlet in the village. North Pringgajurang Village is one of the villages located in Montong Gading District, East Lombok, which consists of 8 hamlets. In order to realize the goal of a disaster resilient village in this village, the methods that will be implemented include carrying out socialization activities on landslide disaster mitigation and planting tree seedlings so as to create public awareness of the dangers of landslides and reduce the potential for landslides in North Pringgajurang village.
MENINGKATKAN KESADARAN MASYARAKAT DESA PRINGGAJURANG UTARA TERHADAP BENCANA LONGSOR MELALUI PENIDIKAN DAN PELATIHAN MITIGASI BENCANA Salman; Aryaguna, Lalu Wangsa; Sumarti, Elinda; Anggraeni, Dea Tri Maya; Mintari Aprillisa; Isnani, Septiya Rahmatul; Nanda Salsabilah; Pratama, M.Febrian Ulmayadi; Wirantino, Lalu Pikya; Septiawan, Redza Dwi; Nasari, Linda
Jurnal Wicara Vol 2 No 1 (2024): Jurnal Wicara Desa
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/wicara.v2i1.4207

Abstract

Disaster resilient villages (Destana) are villages/sub-districts that have the independent ability to adapt and face potential disaster threats, as well as recover immediately from the detrimental impacts of disasters. The aim of the Disaster Resilient Village is to realize development planning that contains efforts to prevent, prepare, reduce disaster risk and increase capacity for post-emergency recovery so that it can increase community awareness in North Pringgajurang village regarding landslides which often occur in several hamlet in the village. North Pringgajurang Village is one of the villages located in Montong Gading District, East Lombok, which consists of 8 hamlets. In order to realize the goal of a disaster resilient village in this village, the methods that will be implemented include carrying out socialization activities on landslide disaster mitigation and planting tree seedlings so as to create public awareness of the dangers of landslides and reduce the potential for landslides in North Pringgajurang village.
Simulasi Penghilangan Noise pada Sinyal Suara menggunakan Metode Fast Fourier Transfrom Septiawan, Redza Dwi; Rayes, Putri Rahmasari; Robbaniyyah, Nuzla Af'idatur
Semeton Mathematics Journal Vol 1 No 1 (2024): April
Publisher : Program Studi Matematika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/semeton.v1i1.203

Abstract

Sound signals are widely used such as when communicating, recording, or medical testing. However, voice signals are often contaminated by noise or interference which can reduce the quality and clarity of sound caused by weather, being in crowded places and other factors. Therefore, noise reduction in voice signals is important in voice signal processing. This study aims to reduce noise in voice signals using the FFT method. The Fast Fourier Transform (FFT) method is used to identify frequencies and reduce noise in voice signals. The data used is in the form of recordings, namely the sound of speech and the sound of rain as noise. This research was conducted with the help of MATLAB R2022a software. The results of this study indicate that the FFT method is effective in reducing noise in the voice signal and improving the sound quality to be cleaner and clearer than the original sound signal before noise removal is performed.
Co-Authors Anggraeni, Dea Tri Maya Aryaguna, Lalu Wangsa Isnani, Septiya Rahmatul Mintari Aprillisa Nanda Salsabilah Nasari, Linda Pratama, M.Febrian Ulmayadi Rayes, Putri Rahmasari Robbaniyyah, Nuzla Af'idatur Salman Sumarti, Elinda Wirantino, Lalu Pikya