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All Journal JP-BSI (Jurnal Pendidikan Bahasa dan Sastra Indonesia) International Journal of Educational Technology and Society
Imelda Hutabarat
Universitas Bina Bangsa Getsempena
Computer Science & IT Education Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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Nilai Sosial Budaya dalam Novel Namaku Teweraut Karya Ani Sekarningsih Pendekatan Antropologi Sastra Imelda Hutabarat; Zainal Rafli; Saifur Rohman
JP-BSI (Jurnal Pendidikan Bahasa dan Sastra Indonesia) Vol 4, No 2 (2019): VOLUME 4 NUMBER 2 SEPTEMBER 2019
Publisher : STKIP Singkawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (483.908 KB) | DOI: 10.26737/jp-bsi.v4i2.1022

Abstract

Tujuan penelitian ini adalah untuk mengidentifikasi tentang nilai sosial budaya dengan pendekatan antropologi yang ditinjau dari kutipan terdapat dalam novel Namaku Teweraut karya Ani Sekarningsih. Penelitian ini adalah penelitian kualitatif deskriptif dengan metode mendeskripsikan data secara mendalam. Data dikumpulkan melalui tahapan pembacaan novel secara seksama, membuat sinopsis, mengklasifikasikan data, menafsirkan hasil analisis data, mengkonfirmasi hasil analisis dan tafsiran kepada ahli satra, dan mendeskripsikan bagian yang telah dianalisis secara terperinci. Analisis dan interpretasi data menunjukkan bahwa: 1) Nilai sosial aspek pengetahuan paling mendominasi, terdapat keberagaman flora, fauna yang ada di suku Asmat. Sifat tokoh utama memberikan pesa moral agar pembaca memiliki watak hidup sederhana, gigih, sabar, berpikir maju, praktis, berpendirian teguh, rajin, cinta lingkungan, cinta tanah air, waspada, rendah hati, peka, cerdas, dan keratif. 2) Nilai sosial aspek sistem organisasi memiliki hubungan, asosiasi, dan kesatuan hidup yang baik di suku Asmat dan dengan suku yang lain. Musyawarah dilakukan sebelum mengadakan upacara, mengambil keputusan, dan menetapkan aturan. 3) nilai sosial aspek religi tidak hanya animisme tetapi suku Asmat menyakini agama kristen. 4) nilai sosial aspek kesenian suku Asmat memiliki kreativitas yang tinggi dalam kesenian,yaitu: seni ukir, seni tari, seni, menyanyi, dan seni musik. Hal tersebut ditunjukkan pada setiap prosesi upacara yang dilakukan. 
Adaptive Learning Analytics for Tracking Student Performance and Predicting Academic Success in Digital Classrooms Sri Suharti; Imelda Hutabarat; Danellie C. Llamas
International Journal of Educational Technology and Society Vol. 1 No. 3 (2024): September : International Journal of Educational Technology and Society
Publisher : Asosiasi Periset Bahasa Sastra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijets.v1i3.411

Abstract

This research focuses on the application of predictive analytics in digital classrooms to track and predict student performance. The study aims to address the limitations of traditional teacher judgment, which often relies on limited data points and subjective assessments. The research proposes a machine learning-driven approach that utilizes data from Learning Management Systems (LMS), including student engagement, academic performance, and attendance, to predict student success or failure with greater accuracy. Various machine learning techniques, such as Support Vector Machine (SVM) and Random Forest (RF), are applied to develop a predictive model that can identify at-risk students early. The findings show that the model achieves an accuracy rate of over 85%, with key predictors including past academic performance and student engagement. This model outperforms traditional assessment methods by providing real-time, data-driven insights that enable timely interventions. The study concludes that predictive analytics has significant potential to enhance educational outcomes by offering personalized support and improving curriculum design. However, challenges such as data integration, fairness, and privacy concerns must be addressed for broader implementation.
Co-Authors Danellie C. Llamas Saifur Rohman Suharti, Sri Zainal Rafli, Zainal