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Pendampingan Upgrade CMS dan Pelatihan Pengoperasian CMS Sekolahku.web.id pada SMP N 2 Karanganyar Demak Nanik Susanti; Yudie Irawan; Syafiul Muzid; Putri Kurnia Handayani; Endang Supriyati
Muria Jurnal Layanan Masyarakat Vol. 6 No. 1 (2024): Maret 2024
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/mjlm.v6i1.11384

Abstract

The use of school websites as a means of supporting the teaching and learning process as well as promotional media is still very necessary, considering that teachers and students are able to easily access materials and teaching materials without being limited by place and time. So that the student learning process is more flexible and can be done at any time. The use of websites and social media can encourage the effectiveness of the learning and teaching process in schools. So the process of providing materials and teaching materials by teachers needs to be maintained. The existence of the official website at SMP N 2 Karanganyar Demak has supported the online learning process, especially during the Covid-19 pandemic, apart from being an information service and promotional tool. However, currently the official website of SMP N 2 Karanganyar Demak is experiencing problems in development. Therefore, it is necessary to increase the capacity of the official website by replacing the Balitbang CMS with the Sekolahku.web.id CMS which has currently been developed and used by many schools in the archipelago. CMS Sekolahku.web.id has more features and is more flexible in its management.
Pengembangan Mesin Penerjemah Bahasa Indonesia ke Bahasa Daerah Kudus Menggunakan NMT Berbasis RNN-GRU Anggay Bunga Permata; Tri Listyorini; Endang Supriyati
JiTEKH Vol. 14 No. 1 (2026): March 2026
Publisher : Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35447/jitekh.v14i1.1314

Abstract

The Kudus regional language is an important cultural identity, but it is now facing extinction due to its lack of use by the younger generation, the popularity of slang and international languages, and the lack of digital text resources. General machine translation tecnologies such as Google translate still have limitations in understanding specific cultural contexts and lokal dialects. The main objective is to develop an automatic translation tool from Indonesian to the Kudus regional language. Utilizing RNN-GRU-based Neural Machine Translation (NMT) technology to overcome translation limitations in the low resource language category. Through an experimental quantitative approach by applying the NMT model of the Recurent Neural Network architecture, specifically Gated Recurent Unit (RNN-GRU). Using data in the frm of a parallel corpus with a total 1,031 pairs of sentences that have been cleaned and tokenized, the divided into three parts 824 for training, 103 for validation, and 104 for testing. The model was built using Tensorflow and trained for a maximum of 106 epochs with early stopping, Adam optimizer, and bacth 64 on Colab GPU. The developed model achieved a BLEU score of 0.89% on the testing data, demonstrating the significant complexity and challenges of translating low-resource regional dialects. These findings prove that the RNN-GRU model is further development is still needes by expanding the number of parallel corpora and exploring more state-of-the-art architectures to improve vocabulary richness and accuracy