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Campur Kode pada Tuturan Zee Asadel dalam Siniar Chitchart rizka
Jurnal Cahaya Edukasi Vol 2 No 4 (2025): Jurnal Cahaya Edukasi: Oktober
Publisher : Cahaya Smart Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63863/jce.v2i4.194

Abstract

Penelitian ini membahas penggunaan campur kode pada tuturan Zee Asadel dalam salah satu episode podcast ChitChart. Penggunaan campur kode dalam siniar menjadi fenomena menarik karena menunjukkan dinamika. bahasa anak muda yang hidup dalam lingkungan bilingual dan dipengaruhi budaya digital. Penelitian ini bertujuan untuk mendeskripsikan bentuk dan jenis campur kode yang digunakan oleh Zee, mengidentifikasi kecenderungan bahasa yang paling dominan, serta menjelaskan faktor yang melatarbelakangi kemunculan campur kode tersebut. Penelitian ini menggunakan metode deskriptif kualitatif dengan teknik simak catat dalam pengumpulan data. Hasil penelitian menunjukan bahwa terdapat 66 unsur campur kode. Unsur tersebut terdiri atas 32 data berbentuk kata bahasa Inggris, 31 data berupa frasa bahasa Inggris, 2 data berupa baster, dan 1 data berupa frasa bahasa Arab. Dari keseluruhan data, bahasa Inggris menjadi unsur campur kode yang paling dominan. Dominasi tersebut dipengaruhi oleh gaya komunikasi anak muda, kedekatan dengan budaya pop, serta situasi percakapan yang santai. Secara keseluruhan, penelitian ini menunjukkan bahwa gaya tutur Zee Asadel mencerminkan gaya komunikasi generasi muda yang fleksibel, ekspresif, dan akrab dengan penggunaan bahasa asing dalam interaksi informal.
Analysis of User Interaction Association Patterns in E-Learning Systems Using the Apriori Algorithm Rizka; Berutu, Asro Hayati; Nabawy, Putri; Pratama, Haris; Supiyandi
Proceedings of The International Conference on Computer Science, Engineering, Social Science, and Multi-Disciplinary Studies Vol. 1 (2025)
Publisher : CV Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/cessmuds.v1.30

Abstract

The development of e-learning systems has generated a vast volume of user interaction data. Every activity—such as logging in, viewing materials, taking quizzes, and downloading assignments—contains valuable information that can be leveraged to enhance the effectiveness of online learning systems. This study aims to analyze user interaction association patterns in an e-learning system using the Apriori algorithm. A data mining approach was employed to identify relationships among features frequently accessed together, with a minimum support threshold of 0.4, minimum confidence of 0.6, and lift > 1.0. The dataset used consists of simulated (dummy) data representing seven user transactions and five main e-learning features. The analysis produced eight significant association rules with lift values above 1.0, indicating non-random relationships among features. Feature combinations such as {login} → {view_material} and {take_quiz} → {view_score} exhibited strong relationships, with confidence values reaching 0.75. These findings suggest the existence of dominant user interaction patterns that can be utilized to optimize navigation design, recommendation features, and overall user experience in e-learning systems. This research contributes to the application of the Apriori algorithm for exploring user access patterns in online education contexts, providing an analytical foundation for developing more adaptive and behavior-driven systems.
PENGARUH MODEL PEMBLAJARAN PROJECT BASED LEARNING BERBANTUAN MIND MAPPING TERHADAP HASIL BELAJAR IPA KELAS V SD ISLAM DARUSSALAM Rizka; Istiningsih, Siti; Novitasari, Setiani
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 9 No. 2 (2024): Volume 09 No. 2 Juni 2024
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The problem that is often found in learning is the low learning outcomes of students. One of the factors is the application of ineffective and innovative learning models. Based on the results of observations, it was found that the learning outcomes of class V students at SD Islam Darussalam in science subjects were relatively low, namely around 70% of students had not yet reached the KKM. This research aims to determine the effect of the Project based learning model assisted by mind mapping on the science learning outcomes of Class V at SD Islam Darussalam. The type of research used is quantitative research with a pre-experimental method, one group pretest posttest design. Sampling in this study used a non-probability sampling technique with a saturated sample type, namely all students in class V of SD Islam Darussalam, totaling 32 students. Data collection uses observation, test and documentation techniques. Based on the results of research using the Paired samples T-Test statistical test, it was found that significance (Two Side P) was >0.001, smaller than 0.05, so Ha was accepted. So it can be concluded that the Project based learning model assisted by mind mapping has an influence on the science learning outcomes for class V at SD Islam Darussalam.