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All Journal Pedagogy : Journal of English Language Teaching eProceedings of Engineering
Fiddin, Muhammad Faqihna
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Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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Klasifikasi Kondisi Pernapasan Berdasarkan Sinyal Radar Menggunakan Convolutional Neural Network Fiddin, Muhammad Faqihna; Fu’adah, R Yunendah Nur; Edwar, Edwar
eProceedings of Engineering Vol. 10 No. 5 (2023): Oktober 2023
Publisher : eProceedings of Engineering

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Abstract

Dalam dunia medis frekuensi pernapasanmenjadi salah satu indikator awal yang dapat digunakan untukmendiagnosa suatu gangguan yang berhubungan dengan sistempernapasan. Pengukuran frekuensi pernapasan dapatdilakukan dengan alat bantu seperti radar. Radar adalah salahsatu pendekatan yang bagus untuk mengukur frekuensipernapasan manusia. Hasil pengukuran frekuensi pernapasanoleh radar masih berupa sinyal yang memerlukan penangananlebih lanjut untuk mengetahui kondisi dari pernapasanseseorang. Maka dari itu, dibutuhkan sistem yang secaraotomatis yang dapat mengklasifikasikan kondisi pernapasanseseorang dengan melihat sinyal radar tersebut. Pada penelitianini bertujuan untuk merancang sistem klasifikasi kondisipernapasan melalui sinyal radar dalam tiga kelas yaitu low,normal, dan high. Dataset yang diperoleh berasal darizenodo.org dan berdasar jurnal dengan bentuk citra scalogram.Penelitian sistem klasifikasi kondisi pernapasan inimenggunakan Convolutional Neural Network (CNN) denganarsitektur MobileNet. Parameter pengujian terbaik yangdidapatkan adalah nilai epoch 100, nilai batch size 8, nilailearning rate 0,0001, dan dengan optimizer Adam. Hasilpengujian dengan parameter terbaik mendapatkan nilaiakurasi 96,5% dengan nilai loss 0,104, nilai presisi 96,6%, nilairecall 96,4%, dan nilai f1-score 96,5%.Kata kunci— pernapasan, klasifikasi, sinyal radar,convolutional neural network, mobilenet
Enhancing EFL Writing Instruction through Problem-Based Learning: Insights from a Classroom-Based Study Fiddin, Muhammad Faqihna; Hafifah, Tasya Marsanda; Augustin, Regina Fitria; Librata, Harit Ananda; Priyantin, Tina; Ruswardiningsih, Dini
Jurnal Pedagogy Vol 13 No 2 (2025): Pedagogy: Journal of English Language Teaching
Publisher : Institut Agama Islam Negeri (IAIN) Metro, Lampung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32332/joelt.v13i2.11348

Abstract

The study aims to find out how the implementation of the Problem-Based Learning (PBL) model can enhance the writing skills of tenth-grade students, particularly in composing English exposition texts. This study applied a Classroom Action Research (CAR) method, conducted in two cycles following the stages of planning, acting, observing, and reflecting. The research was carried out in a public senior high school in Indonesia and involved 35 students. Data were gathered through writing tests, classroom observations, and student reflections. The findings revealed a steady improvement in students’ writing performance across five key aspects: organization, content, grammar, mechanics, and vocabulary. The percentage of students who met the minimum mastery criterion (score ≥76) increased from 25.71% in the pre-cycle to 42.86% in Cycle 1, and reached 60% in Cycle 2. The most notable improvement occurred in organization and content, while grammar and mechanics progressed more gradually. The use of real-life problems, collaborative discussions, and reflective writing helped students produce more coherent and persuasive exposition texts. This study was limited by its short duration and the small scope of participants, which may affect the generalizability of the results. Therefore, future research is recommended to implement more extended cycles, apply the PBL model to various writing genres, and explore the integration of digital tools to support writing development, especially in grammar and mechanics.
Co-Authors Augustin, Regina Fitria EDWAR EDWAR Fu’adah, R Yunendah Nur Hafifah, Tasya Marsanda Librata, Harit Ananda Priyantin, Tina Ruswardiningsih, Dini