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Comparing Online Reading Strategy Use in High and Low Achievers: Implications and Applications Alfi Suci Dirgantari; Healty Susantiningdyah; Hilga Clararissa AS; Ayu Pardede
Seltics Journal: Scope of English Language Teaching Literature and Linguistics Vol. 8 No. 2 (2025): Seltics Journal: Scope of English Language Teaching, Literature and Linguistics
Publisher : Program Studi Pendidikan Bahasa Inggris FKIP Universitas Muslim Maros

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46918/seltics.v8i2.3012

Abstract

This survey-based comparative study examines disparities in perceived online reading strategy utilization among 488 English language learners, categorized into low-achieving (n = 267) and high-achieving (n = 221) cohorts. The findings reveal that while most learners prioritize problem-solving strategies—specifically focused re-reading—significant divergences emerge in their secondary approaches. Low achievers typically rely on translation and reduced reading speeds, whereas high achievers leverage prior knowledge and skimming techniques. Distinct from traditional comparative research, this study identifies these specific strategic gaps as a foundation for evidence-based pedagogy. By explicitly integrating high-leverage strategies into classroom instruction, educators can provide low-attaining learners with the specific cognitive tools necessary to improve reading performance and bridge the achievement gap.
Optimizing Water Quality in Carp Farming through an IoT-based Dissolved Oxygen Monitoring System Khusnul Hayati; Faishal Arham Pratikno; Putri Gesan Prabawa Anwar; Healty Susantiningdyah
G-Tech: Jurnal Teknologi Terapan Vol 9 No 4 (2025): G-Tech, Vol. 9 No. 4 October 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v9i4.8074

Abstract

Dissolved oxygen (DO) is a critical parameter in common carp (Cyprinus carpio) aquaculture, as low DO levels can cause stress, inhibit growth, and lead to fish mortality. Conventional measurement methods, such as manual titration or DO meters, are limited because they cannot provide continuous or real-time monitoring. Therefore, this study aims to develop an Internet of Things (IoT)-based dissolved oxygen monitoring system using the Waterfall development method to maintain optimal water quality in carp ponds. The system utilizes an ESP32 microcontroller, a DO sensor, and the Blynk platform as a real-time remote monitoring interface. It continuously measures DO levels, displays data locally on an LCD, and sends automatic notifications when the DO value falls below 5 mg/L. Field testing was conducted for one week at the Rama Graha carp pond, showing that the system achieved an accuracy of 92.7%, an error rate of 7.3%, and a precision of 98%. The developed system effectively supports farmers in maintaining stable water quality and reducing fish mortality. This study contributes to the development of practical, low-cost IoT technology for sustainable freshwater aquaculture management.Â