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All Journal Journal of Sylva Indonesiana Journal of Applied Science, Engineering, Technology, and Education Jurnal Atma Inovasia
Agus Prijono
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Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Environmental Science Industrial & Manufacturing Engineering Social Sciences Other

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Pemanfaatan Tools AI dalam Pembuatan Materi Pengajaran bagi Guru- Guru di BPPK Bandung Sartika, Erwani Merry; Ratnadewi; Heri Andrianto; Agus Prijono; Aan Darmawan; Yohana Susanthi; Anthonius Chandra
Jurnal Atma Inovasia Vol. 4 No. 4 (2024)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jai.v4i4.9399

Abstract

Pendidik seperti guru perlu mengikuti perkembangan teknologi, namun juga tetap menginspirasi siswa agar teknologi dapat digunakan untuk tujuan positif dan produktif. Teknologi kecerdasan buatan (AI) saat ini banyak digunakan untuk membantu pendidik dalam mengembangkan materi pembelajaran. Pendekatan metode partisipatif yaitu masyarakat terlibat aktif dalam mengidentifikasi dan menyelesaikan masalah berupa kebutuhan dari guru-guru di BPPK untuk dapat mengembangkan diri dengan mengikuti workshop tools AI ini. Hasil evaluasi menunjukkan bahwa 84% peserta dapat menyimak dan mengikuti pelatihan berupa workshop yang melibatkan peserta secara aktif dalam diskusi, praktik, dan pengembangan keterampilan secara langsung. Pengembangan metode pengabdian diperlukan sehingga guru-guru dapat mendapat mempelajari dan mempraktikkan materi yang diberikan dengan lebih baik.
Pemanfaatan Tools AI dalam Pembuatan Materi Pengajaran bagi Guru- Guru di BPPK Bandung Sartika, Erwani Merry; Ratnadewi; Heri Andrianto; Agus Prijono; Aan Darmawan; Yohana Susanthi; Anthonius Chandra
Jurnal Atma Inovasia Vol. 4 No. 4 (2024)
Publisher : Lembaga Penelitian dan Pengabdian pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jai.v4i4.9399

Abstract

Pendidik seperti guru perlu mengikuti perkembangan teknologi, namun juga tetap menginspirasi siswa agar teknologi dapat digunakan untuk tujuan positif dan produktif. Teknologi kecerdasan buatan (AI) saat ini banyak digunakan untuk membantu pendidik dalam mengembangkan materi pembelajaran. Pendekatan metode partisipatif yaitu masyarakat terlibat aktif dalam mengidentifikasi dan menyelesaikan masalah berupa kebutuhan dari guru-guru di BPPK untuk dapat mengembangkan diri dengan mengikuti workshop tools AI ini. Hasil evaluasi menunjukkan bahwa 84% peserta dapat menyimak dan mengikuti pelatihan berupa workshop yang melibatkan peserta secara aktif dalam diskusi, praktik, dan pengembangan keterampilan secara langsung. Pengembangan metode pengabdian diperlukan sehingga guru-guru dapat mendapat mempelajari dan mempraktikkan materi yang diberikan dengan lebih baik.
Floristic Composition and Diversity of Agroforestry Based Agarwood (Gyrinops versteegii) in Bantul, Yogyakarta Rawana; Agus Prijono; Setiaji Heri Saputra; Siti Maimunah; Nanda Satya Nugraha; Hastanto
Journal of Sylva Indonesiana Vol. 9 No. 01 (2026): Journal of Sylva Indonesiana
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsi.v9i01.15863

Abstract

Gyrinops versteegii is one of the agarwood-producing trees with high economic value, however including CITES appendix II, quotas limit trade. This research aims to determine the composition and diversity of the species that make up agarwood-based home garden agroforestry practices and to determine the similarity of communities in two sites, namely in Parangtritis village and Sawo hamlet, Bantul district, Yogyakarta. The research was conducted in Parangtritis village, Kretek District and Sawo hamlet, Banguntapan District, Bantul Regency, Yogyakarta. Sampling was used using the plot method with a plot measuring 20 x 20 m2, which was placed purposely. The species diversity index uses Shannon's index formula, while the evenness index uses the Alatalo index. The species of richness index used is Margalef’s index. Meanwhile, community similarity is used by Sorensen's index and Jaccard's index. This research found that the number of species that make up gaharu-based home garden agroforestry practices is 24 tree species, with 296 individuals belonging to 22 genera and 18 families. The diversity index of home garden species in Parangtritis and Sawo is categorized as medium with an H" value of 1.46 and 1.87, respectively. Likewise, the index values for the evenness of home garden species in Parangtritis and Sawo are 0.59 and 0.65, respectively, categorized as moderate. The species richness index in Parangtritis (2.015) is lower than in Sawo (4.119). The Sorensen similarity index value of 0.4 is categorized as medium, while according to the Jaccard index of 0.25, it is categorized as low. These findings suggest the need for improved species selection and management practices to enhance agroforestry sustainability and biodiversity conservation
Machine Learning Approach for Ibing Penca Stance Recognition Using Landmark Detection and Angle-Based Classification Ratnadewi, Ratnadewi; Agus Prijono; Aan Darmawan Hangkawidjaja; Sri Rustiyanti; Deri Al Badri
Journal of Applied Science, Engineering, Technology, and Education Vol. 8 No. 1 (2026)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci4539

Abstract

The problem is how students can learn independently when no assistant teachers are present. The main objective of this research is to build an application system that can recognize the stances in Ibing Penca martial art. This research aims to help facilitate independent learning for martial arts practitioners, especially Ibing Penca, by developing a system that is able to recognize and classify the movements in 62 Ibing Penca stances. To achieve these goals, the research method used is to collect input data in the form of images or videos taken using an Orbbec camera. After the images are obtained, the next stage is data processing to detect important points on the body using landmark detection techniques. The next process is the identification of 33 keypoints on the body using the MediaPipe algorithm. From these keypoints, six important angles were calculated which included the right arm, left arm, right leg, left leg, right foot and left foot. This angle calculation is done using the angle method of the three relevant key points. The system is able to recognize the movements in Ibing Penca with a high degree of accuracy, which is very useful for learners who want to practice independently. The results of this study show that the system is able to classify 62 Ibing Penca moves with a success rate of 95.2% (58 moves), while the error rate is only 4.8% (4 moves). For future research, it is expected to develop this system by adding variations of movements and improving detection accuracy in more diverse environmental conditions.
Co-Authors Aan Darmawan Aan Darmawan Hangkawidjaja Anthonius Chandra Deri Al Badri Erwani Merry Sartika Hastanto Heri Andrianto Nanda Satya Nugraha Ratnadewi Ratnadewi, Ratnadewi Rawana Setiaji Heri Saputra Siti Maimunah Sri Rustiyanti Yohana Susanthi