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Implementasi Teknik Ecoprint Sebagai Strategi Peningkatan Kesadaran Lingkungan pada Siswa Sekolah Dasar Nurpazriah, Mainawati; Firdaus, Muhammad Rihap; Fakhira, Nisrina Lulu; Nurjanah, Tiya
TAFANI: Jurnal Pengabdian Masyarakat Vol 4 No 1 (2025): TAFANI
Publisher : LP2M UIN Sultan Aji Muhammad Idris Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21093/tafani.v4i1.9175

Abstract

The 2024 Community Service Program (KKN) used the Sisdamas model (Community Empowerment-Based Community Service), with the theme "Implementation of Ecoprint Techniques as a Strategy to Increase Environmental Awareness Among Elementary School Students." The author designed several programs to support this theme, including: (1) assessing the community's and students' awareness of utilizing natural materials, (2) enhancing children's creativity in using natural resources, (3) socializing the ecoprint technique to students, and (4) facilitating free ecoprint workshops. This activity aimed to raise environmental awareness among students at SD Negeri Buah Batu through a participatory approach. The program was implemented on August 15, 2024, involving 5th-grade students actively in every phase, from the introduction of the ecoprint concept to hands-on practice using the pounding technique with leaves as the primary material. The results showed an increase in students' understanding and skills in using natural materials to create eco-friendly artistic products while also reinforcing their awareness of environmental preservation. This program proved effective in integrating environmental education values with creative, hands-on practices, encouraging students to care more about the environment through enjoyable and meaningful activities.
Text-to-Speech Technology Development Using FastSpeech2 Algorithm for the Story of the Prophet Firdaus, Muhammad Raihan; Firdaus, Muhammad Rihap; Pasha, Pancadrya Yashoda
Khazanah Journal of Religion and Technology Vol. 2 No. 2 (2024): December
Publisher : UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/kjrt.v2i2.1099

Abstract

With the SDGs target point 4.6 for 2030, literacy is a very important thing to improve. With today's technological advancements, improving the accessibility of reading in the digital age is becoming increasingly important, especially for individuals with time constraints. Text-to-Speech (TTS) technology allows users to enjoy text content, such as books or journals, in audio format, which can be listened to while doing other activities. This research develops a TTS model based on the FastSpeech2 algorithm, a non-autoregressive deep learning architecture that utilizes Transformers to generate high-quality audio quickly and efficiently. The LJSpeech dataset, which consists of 13,100 audio chunks with a total duration of 24 hours, is used as the training base. The preprocessing process involves text normalization, audio feature extraction, and data synchronization, while evaluation is performed using objective metrics such as Mel Cepstral Distortion (MCD) and Pitch Error to ensure the quality of the results. The results show that FastSpeech2 can provide fast and accurate performance in generating synthesized voices, making it potential to be used in various audio literacy applications. A key application of this TTS technology is in narrating the stories of the Prophets, which are essential in Islamic teachings for imparting moral values, fostering spiritual connection, and offering timeless lessons. The results show that FastSpeech2 is able to produce high-quality audio quickly, making it an effective alternative for improving audio literacy and providing a solution for individuals with limited reading time.