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All Journal Jurnal Review Pendidikan dan Pengajaran (JRPP) Jurnal Sains dan Teknologi Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Teknologi Sistem Informasi dan Sistem Komputer TGD
Addini, Puteri Fajar
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Humanities Computer Science & IT Economics, Econometrics & Finance Education Health Professions Languange, Linguistic, Communication & Media Mathematics Physics Public Health Social Sciences Other

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IMPLEMENTING TELL (TECHNOLOGY ENHANCED LANGUAGE LEARNING) IN IMPROVING INFORMATICS ENGINEERING STUDENTS’ READING SKILL Swantika , Ika; Addini, Puteri Fajar; Sitompul, Kristin Lourensi; Harissandi, Refin; Anwar, Rossya Diva
Jurnal Review Pendidikan dan Pengajaran Vol. 8 No. 4 (2025): Volume 8 No. 4 Tahun 2025
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jrpp.v8i4.55251

Abstract

This study was conducted to obtain some purposes of implementing TELL (Technology Enhanced Language Learning) in improving reading skill especially for informatics engineering students. The quantitative research with explanatory method had been applied as research methodology in this study. There were 20 informatics engineering students as the sample. By going through several stages, the result and conclusion were obtained. First, the Pre-Test had been done to know the student’s basic score in reading skill. Then, the implementation of TELL was conducted to improve the student’s reading skill. The G-meet as the media was utilized as the technology used in language learning. Finally, the Post-test was arranged to know the outcome of implementing TELL. Based on the result, it indicated that the positive impact especially in reading skill was obtained by the students who carried out TELL. It was proven that the post-test score of each student was higher than the pre-test one.
PEMODELAN TREN LINIER BERBASIS REGRESI FUZZY UNTUK DATA KEMISKINAN DI SUMATERA UTARA DENGAN KETIDAKPASTIAN TINGGI Addini, Puteri Fajar; Vinsensia, Desi; Lubis, Risa Kartika; Nurfadila, Angel; Sitinjak, Sri Atika
Jurnal Review Pendidikan dan Pengajaran Vol. 8 No. 4 (2025): Volume 8 No. 4 Tahun 2025
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jrpp.v8i4.55252

Abstract

Ketidakpastian dan volatilitas data seringkali menjadi hambatan utama dalam menghasilkan peramalan yang akurat menggunakan model statistik konvensional. Penelitian ini bertujuan untuk menganalisis dan membandingkan performa metode Analisis Regresi Fuzzy dengan metode Regresi Linier Klasik (Ordinary Least Squares/OLS) dalam melakukan peramalan masa depan. Proses peramalan pada model fuzzy dilakukan melalui penghitungan output menggunakan koefisien fuzzy yang kemudian ditransformasikan menjadi nilai titik (crisp) melalui metode defuzifikasi Centre of Gravity (CoG). Hasil analisis menunjukkan bahwa Regresi Fuzzy memiliki tingkat kesesuaian data (goodness of fit) yang lebih unggul dengan nilai Root Mean Square Error (RMSE) sebesar 0,52, jauh lebih rendah dibandingkan model OLS yang menghasilkan RMSE sebesar 2,11. Selain itu, dari sisi pengelolaan ketidakpastian, Regresi Fuzzy terbukti lebih efisien dengan rata-rata lebar pita prediksi (fuzzy spread) sebesar 2,62, yang lebih presisi dan dinamis dibandingkan interval kepercayaan OLS sebesar 4,2. Penelitian ini menyimpulkan bahwa Analisis Regresi Fuzzy mampu mengakomodasi kekaburan data secara lebih efektif dan memberikan hasil proyeksi yang lebih representatif bagi pengambilan keputusan dibandingkan pendekatan linier klasik.
Co-Authors Adi Purwanto Angel Nurfadilah Anwar, Rossya Diva Cania Tarigan, Putri Dakhi , Kevin Raih Saputra Dani, Ersika Pupita Harissandi, Refin Lubis, Risa Kartika Nurfadila, Angel Nurfadilah, Angel Nurhidayah, Icha Saputra Dakhi, Kevin Raih Sembiring, Jeremia Sijabat, Petti Indrayati Sitinjak, Sri Atika Sitompul, Kristin Lourensi Sri Atika Sitinjak Swantika , Ika Swantika, Ika Tarigan, Putri Cania Br Vinsensia, Desi WINDY WINDY