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All Journal JPM (Jurnal Pemberdayaan Masyarakat) Jiko (Jurnal Informatika dan komputer)
Rahmawati, Adinda Aulia
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Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media Social Sciences Other

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CLASSIFICATION OF JAVANESE NGLEGENA SCRIPT USING COMPLEXVALUED NEURAL NETWORK Rahmawati, Adinda Aulia; Muhaimin, Amri; Prasetya, Dwi Arman
JIKO (Jurnal Informatika dan Komputer) Vol 7, No 1 (2024)
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v7i1.7808

Abstract

Javanese script is one of the traditional scripts in Indonesia used by the Javanese people. The Javanese script used in Javanese spelling basically consists of 20 main characters (nglegena), namely from the Ha to Nga script. Javanese script has very high value, the uniqueness of the script is one thing that must be preserved. However, widespread use of Javanese script has declined as technology has developed. In this context, one of the problems that arises is the difficulty in automatically recognizing and classifying the Javanese Nglegena script. Therefore, the use of computational methods to automatically classify the Nglegena Javanese script is very important. This research compares 2 methods for classifying Javanese Nglegena script, namely Complex-Valued Neural Network (CVNN) and Convolutional Neural Network (CNN). This research aims to compare the best accuracy between CVNN and CNN. In this study, the Complex-Valued Neural Network method had a higher average accuracy, namely 96.332% and a loss of 0.1834. Meanwhile, the CNN method has an average accuracy of 93.72% and a loss of 0.4254. Artificial intelligence-based Javanese Nglegena script classification technology can help people to recognize the Javanese Nglegena script, especially in the fields of education and culture.
CLASSIFICATION OF JAVANESE NGLEGENA SCRIPT USING COMPLEXVALUED NEURAL NETWORK Rahmawati, Adinda Aulia; Muhaimin, Amri; Prasetya, Dwi Arman
JIKO (Jurnal Informatika dan Komputer) Vol 7, No 1 (2024)
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v7i1.7808

Abstract

Javanese script is one of the traditional scripts in Indonesia used by the Javanese people. The Javanese script used in Javanese spelling basically consists of 20 main characters (nglegena), namely from the Ha to Nga script. Javanese script has very high value, the uniqueness of the script is one thing that must be preserved. However, widespread use of Javanese script has declined as technology has developed. In this context, one of the problems that arises is the difficulty in automatically recognizing and classifying the Javanese Nglegena script. Therefore, the use of computational methods to automatically classify the Nglegena Javanese script is very important. This research compares 2 methods for classifying Javanese Nglegena script, namely Complex-Valued Neural Network (CVNN) and Convolutional Neural Network (CNN). This research aims to compare the best accuracy between CVNN and CNN. In this study, the Complex-Valued Neural Network method had a higher average accuracy, namely 96.332% and a loss of 0.1834. Meanwhile, the CNN method has an average accuracy of 93.72% and a loss of 0.4254. Artificial intelligence-based Javanese Nglegena script classification technology can help people to recognize the Javanese Nglegena script, especially in the fields of education and culture.
Gerakan Literasi Sains melalui Pengenalan STEAM pada Anak di Komunitas “Panggon Moco” Gresik Sumarno, Wahyu Kyestiati; Shodikin, Ali; Rahmawati, Adinda Aulia; Shafira, Putri Dian; Solikha, Imro’atus
Jurnal Pemberdayaan Masyarakat Vol 6 No 2 (2021): November
Publisher : Direktorat Penelitian dan Pengabdian kepada Masyarakat (DPPM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/jpm.v6i2.5835

Abstract

Scientific literacy is one of the important literacies that children need to have. However, there are many findings that show the low level of scientific literacy in Indonesian children. "Panggon Moco" is one of the reading park communities (TBM) which was formed due to the community’s concern for the success of the literacy program. Until now, the literacy developed by this community is still limited to reading literacy. Therefore, it is necessary to develop other literacy such as scientific literacy. To answer this challenge, it is necessary to carry out a scientific literacy activities for children in the Panggon Moco community. A learning approach that has been proven to improve scientific literacy in children is STEAM (science, technology, engineering, art, and mathematics). The method of implementing this program includes several activities, namely (1) discussion and equalization of perceptions; (2) making Fun STEAM Lab books; (3) the STEAM experiment; and (4) STEAM literacy assistance. This activity is carried out offline and online. The results obtained from this program are increasing children's understanding of STEAM and increasing students' interest and motivation in learning.
Co-Authors Ali Shodikin Dwi Arman Prasetya Muhaimin, Amri Shafira, Putri Dian Solikha, Imro’atus Wahyu Kyestiati Sumarno