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Effect of Different Harvest Ages on Alginat ContentiIn Seaweed Sargassum sp Using the Longline Supiandi, Supiandi; Cokrowati, Nunik; Lestari, Dewi Putri
Jurnal Media Akuakultur Indonesia Vol 3 No 3 (2023): Indonesian Journal of Aquaculture Medium
Publisher : Program Studi Budidaya Perairan Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/mediaakuakultur.v3i3.3314

Abstract

Sargassum sp. seaweed. It is a type of seaweed that has high economic value because of its alginate content and has the greatest and abundant potential in Indonesia. The alginate content produced in the seaweed Sargassum sp. Influenced by the harvest age in the cultivation process, if it is harvested too early, low quality seaweed will be produced and the older the harvest, the higher the alginate content. To obtain good alginate content, namely by knowing the optimal harvest age in cultivation. The aim of this research is to determine the effect of different harvest ages in seaweed (Sargassum sp.) on the alginate content using the Long line cultivation method. This research was conducted in Ekas Bay, Ekas Buana Village, Jerowaru District, East Lombok, West Nusa Tenggara. This research was carried out using an experimental method using a completely randomized design (CRD), which consisted of 5 treatments by weight of Sargassum sp. namely P1 28 days of harvest, P2 35 days of harvest, p3 of 42 days of harvest, p4 of 45 days of harvest, p5 of 59 days of harvest. Cultivation using seeds weighing 100 grams was then analyzed for alginate content. The results of this study indicate that the age of harvest affects the alginate content and weight growth of the seaweed sargassum sp. the best treatment was found in the p4 treatment with an alginate content value of 1.14% and the lowest in the p1 treatment of 0.76%. The conclusion of this study is that the different harvesting ages of Sargassum sp which were reared using the long line method showed an effect on the alginate content of Sargassum sp. the best treatment was found in p4 because it showed the highest value of alginate content and growth weight.
Integration of AI Chatbot Based on LLM 'GURU DIGITAL' to Improve Numeracy Literacy in 3T Elementary Schools Sadli, Muhamad; Supiandi, Supiandi; Subeli, Muhammad
JISIP: Jurnal Ilmu Sosial dan Pendidikan Vol 10, No 1 (2026): JISIP (Jurnal Ilmu Sosial dan Pendidikan) (Januari)
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58258/jisip.v10i1.9743

Abstract

This study examines the effectiveness of the integration of a Large Language Model (LLM)-based AI chatbot named ‘GURU DIGITAL’ in improving the numeracy literacy of elementary school students in the Frontier, Outermost, and Disadvantaged (3T) areas. Addressing the challenges of educational disparities and low numeracy achievement in the 3T areas, ‘GURU DIGITAL’ is designed with an adaptive learning module that integrates local Sasak content, creating a personalized and culturally relevant learning experience. The research method uses a mixed method approach that combines Research and Development (R&D) with Participatory Action Research. The results show that ‘GURU DIGITAL’ was successfully developed with high NLP accuracy and an engaging adaptive module. Implementation in the field showed enthusiasm from students and teachers. A quantitative impact evaluation revealed a significant increase in students’ numeracy literacy in the experimental group (p < 0.001) compared to the control group, as measured by the Numeracy AKM. The proportion of students in the experimental group achieving the “Proficient” and “Advanced” categories increased drastically from 18% to 65%. Qualitatively, students and teachers reported high levels of satisfaction with ‘GURU DIGITAL’ due to its ability to provide easy-to-understand explanations, a fun learning environment, and personalized learning support. This study concludes that the integration of the ‘GURU DIGITAL’ LLM-based AI chatbot is a highly effective and potentially transformative innovation in improving numeracy literacy among elementary school students in the 3T (third-to-third) regions, while simultaneously leveraging local cultural contexts in the learning process. Recommendations include the replication and scalability of this model to ensure equitable access to quality education across the 3T (third-to-third) regions.