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AI-based assessment: Aiken index analysis of content validity in scientific literacy instruments on the basic laws of chemistry with ethnochemistry Zai, Fila Delfia; Yamtinah, Sri; Shidiq, Ari Syahidul; Widarti, Hayuni Retno; Wiyarsi, Antuni
Jurnal Pendidikan Kimia Vol. 16 No. 3 (2024): J. Pendidik. Kim : December 2024
Publisher : Pascasarjana Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jpkim.v16i3.65174

Abstract

Scientific Literacy Assessment (SLA) is used to measure science literacy on basic chemical law material that has been qualified and tested. This study aims to prove the content validity of ethnochemistry SLA instruments integrated with artificial intelligence (AI) systems using Aiken's validity index so that they can measure students' scientific literacy in basic chemical law material. The research design uses the ADDIE development model (Analysis, design, development, implementation and evaluation which is simplified into analysis, design, and development. Content validity data was obtained from 10 experts, namely 7 chemistry education lecturers from UNS, UNY, and UM and 3 chemistry teachers in Surakarta through focus group discussions (FGD). The content validation test is based on aspects of context, language, and construct. A valid instrument is indicated by an Aiken index value of more than or equal to 0.73. The AI-integrated ethnochemistry SLA instrument on basic laws of chemistry material produced 15 valid items with an Aiken index greater than 0.73.
ENHANCED BIOGAS PRODUCTION FROM RICE STRAW THROUGH NAOH PRETREATMENT AND MOLASSES CO-SUBSTRATE ADDITION Setyowati, Widiastuti Agustina Eko; Ningtyas, Arin Ika; Zai, Fila Delfia; Mulyani, Sri; VH, Elfi Susanti; Ariani, Sri Retno Dwi; Utomo, Suryadi Budi; Wathon, Muhammad Hizbul
Walisongo Journal of Chemistry Vol. 8 No. 2 (2025): Walisongo Journal of Chemistry
Publisher : Department of Chemistry Faculty of Science and Technology UIN Walisongo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/wjc.v8i2.28200

Abstract

  This study investigates the effects of rice straw pretreatment using sodium hydroxide and the addition of molasses as a co-substrate on biogas production through anaerobic fermentation. The pretreatment process involved immersing rice straw in sodium hydroxide solutions at three different concentrations for twenty-four hours, while molasses was added at varying levels to evaluate its effect on the fermentation process. Compositional changes in the lignocellulosic biomass were analyzed using the Chesson–Datta method, which revealed significant alterations in cellulose, hemicellulose, and lignin contents. The lowest sodium hydroxide concentration produced moderate delignification while retaining a relatively high cellulose content, indicating its potential as the optimal pretreatment condition. Molasses addition consistently increased biogas production as dosage levels rose, with the highest yield observed at the maximum molasses concentration. The combined application of the lowest sodium hydroxide concentration and the highest molasses level resulted in the maximum biogas yield, demonstrating improved substrate biodegradability and fermentation efficiency. These findings highlight the practical potential of integrating NaOH pretreatment with molasses co-substrate addition to enhance the conversion efficiency of lignocellulosic agricultural waste into renewable energy through anaerobic fermentation.