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All Journal Celt: A Journal of Culture, English Language Teaching & Literature Jurnal Telematika
Aguskin, Lewinna C.
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Arts Humanities Computer Science & IT Electrical & Electronics Engineering Languange, Linguistic, Communication & Media

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Knowledge Discovery in Database dengan Multivariate Linear Regression pada Sistem Pertanian Hidroponik Berbasis Internet of Things Gamaliel, Yoyok Yusman; Nugroho, Tunggul Arief; Aguskin, Lewinna C.
Jurnal Telematika Vol. 17 No. 2 (2022)
Publisher : Yayasan Petra Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61769/telematika.v17i2.542

Abstract

Sistem hidroponik bergantung pada suhu,  kelembapan, intensitas cahaya, nutrisi, dan pH air sebagai variabel penting dalam pertumbuhan tanaman. Pengembangan sistem pemantauan dan pengendalian variabel tersebut sudah banyak dilakukan, namun masih terbatas pada sistem pengendalian manual. Kalaupun sudah otomatis, masih menggunakan sistem terbuka dengan menggunakan nilai ambang sebagai pemicu respon sistem. Sistem tersebut tidak dapat melakukan koreksi pada keadaan yang diperlukan selain menunggu sampai nilai ambangnya tercapai. Di sisi lain, sistem adaptif mampu melakukan koreksi berdasarkan umpan balik keluaran sistem sehingga sistem menjadi lebih responsif terhadap perubahan yang terjadi. Penelitian ini mengusulkan untuk membangun sebuah model umpan balik dengan mencari hubungan kepekatan nutrisi sebagai variabel terikat dengan variabel pH, intensitas cahaya, kelembapan, dan suhu sebagai variabel bebas dengan metode Knowledge Discovery in Database dan analisis regresi linear berganda. Penelitian ini menghasilkan sebuah model matematis berupa persamaan linear multivariabel yang menyatakan hubungan antara variabel terikat dan variabel bebasnya menggunakan IBM Statistical Package for Social Sciences. Hasil akhir menunjukkan regresi linear berganda dengan F(116, 119) = 8,390, p-value 0,000 yang lebih kecil dari 0,05  di mana variabel bebas dapat memprediksisi secara signifikan dari variabel terikatnya dengan tingkat kesalahan yang ditunjukkan oleh tingkat kesalahan 5,6% dengan variabel Air_Temp memberikan kontribusi paling signifikan terhadap variabel terikat TDS dengan p-value 0,015.  
Collaborative Video Project in English Online Learning: Challenges and Benefits Maryani, Maryani; Aguskin, Lewinna C.
Celt: A Journal of Culture, English Language Teaching & Literature Vol 23, No 2: December 2023, Nationally Accredited (This issue consists of 10 Articles with 23 Autho
Publisher : Soegijapranata Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24167/celt.v23i2.10610

Abstract

Cooperative foreign language learning can be achieved by creating a video in a group. The purpose of this study is to discover university students’ perception of the implementation of creating collaborative video projects in English online learning during the pandemic situation. This study seeks to answer two research problems: first, the challenges that students face in the process of video creation; second, the benefits that they obtain from the video project. The data was contributed by 83 English Department students in a private university in Indonesia. For their final project, the participants were asked to create a group video related to the topics of learning materials. Two types of data collection were used in the study namely the open-ended questionnaire and the videos as the final products. Thematic analysis was used to analyze the qualitative data. The findings show that students have faced several challenges in creating videos, especially technical preparation and time management; however, they have also benefited from the video project as they were immersed in autonomous learning. This study demonstrates that a video project is needed as it helps to foster students’ creativity, teamwork, and English language development.
Co-Authors Gamaliel, Yoyok Yusman Maryani Maryani Nugroho, Tunggul Arief