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Analysis of Factors Affecting Student Interest in Using Mobile Banking
Journal of Multimedia Trend and Technology
Vol 4
, No 3
(2025)
Study aims to analyze the effect of trust, compatibility, perceived risk, risk acceptance, and satisfaction on students’ interest in using mobile banking applications. Mobile banking has become one of the most widely used digital financial solutions due to its convenience and practicality, especially among young users who are familiar with technology. This research employs a quantitative approach using multiple linear regression analysis. The data are derived from a secondary dataset titled “COG...
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Classification of Hate Speech in TikTok Social Media Comments Using Naive Bayes Algorithm and TF-IDF Weighting
Journal of Multimedia Trend and Technology
Vol 4
, No 3
(2025)
This research focuses on the classification of hate speech in Indonesian Tik Tok comments. Tik Tok, as a social media platform with high interaction intensity, generates a large volume of comments with diverse linguistic characteristics, including the use of formal and informal language. This linguistic variation poses challenges in the content moderation process, particularly in automatically identifying hate speech. The research dataset is secondary data obtained by combining public datasets a...
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3D Bumper Animation Design as a Visual Identity Media for Wanarata Fest in Karangmangu Village
Journal of Multimedia Trend and Technology
Vol 4
, No 3
(2025)
Wanarata Fest is a cultural event held in Karangmangu Village with the aim of introducing the potential of local culture and wisdom to the wider community. To support the delivery of the village's identity and potential, visual media are needed that can create a strong and representative first impression. This research aims to design a 3D bumper animation as a visual identity for Wanarata Fest, showcasing the cultural elements and character of Karangmangu Village. The method used in this researc...
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Integrating Fully Homomorphic Encryption and Zero-Knowledge Proofs for Efficient Verifiable Computation
Journal of Computing Theories and Applications
Vol 3
, No 3
(2025)
Fully Homomorphic Encryption (FHE) enables computation on encrypted data with end-to-end confidentiality; however, its practical adoption remains limited by substantial computational costs, including long encryption and decryption times, high memory consumption, and operational latency. Zero-Knowledge Proofs (ZKPs) complement FHE by enabling correctness verification without revealing sensitive information, although they do not support encrypted computation independently. This study integrates bo...
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Students' error profiles in solving statistical problems based on Newman's error analysis
AKSIOMA : Jurnal Matematika dan Pendidikan Matematika
Vol 16
, No 3
(2025)
Many students experience difficulties when solving statistical problems, indicating the need for further research to address these issues. The purpose of this study is to identify the types of errors students make and the factors contributing to these errors. The error types in this study are analyzed using Newman's Error Analysis (NEA), which includes reading and decoding errors, comprehension errors, transformation errors, process skill errors, and encoding errors. This study employs a qualita...
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Studi Kasus: Pengaruh Posisi Semi Fowler terhadap Peningkatan Saturasi Oksigen pada Pasien Congestive Heart Failure (CHF) di Ruang ICU RS Roemani Semarang
Jurnal Kesehatan Elisabeth
Vol 2
, No 2
(2025)
Latar Belakang : Congestive Heart Failure merupakan kondisi ketidakmampuan jantung dalam memompa ataupun menyuplaikan kebutuhan metabolis dalam tubuh yang bisa menyebabkan terjadinya hipoksia. Hipoksia terjadi karena rendahnya transfer O2 dari paru ke aliran darah, yang dapat diketahui dengan melakukan pemantauan nilai saturasi oksigen. Pengaturan, posisi semi fowler Pada pasien Congestive Heart Failure dapat meningkatkan ekspansi paru paru sehingga oksigen lebih mudah masuk ke paru-paru dan pol...
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Increased Motivation to Learn Mathematics in Students of Sungai Buloh Malaysia Learning Centre Through Traditional Games
Ishartono, Naufal
; Nurcahyo, Adi
; Faiziyah, Nuqthy
; Chalistha, Fayza Putri
; Ningtyas, Yoga Dwi Windy Kusuma
; Palupi, Retno
; Wibowo, Eko Ari
; Anisa, Cavella Noor Putri
; Hayuni, Argenti Agung
; Amany, Azzah
; Budi, Ardi Bagus Setyo
; Majidah, Farah
Buletin KKN Pendidikan
Vol 7
, No 2
(2025)
Indonesian diaspora students often experience low motivation in learning mathematics due to abstract instruction and limited culturally relevant learning media. This community service program aimed to enhance mathematics learning motivation among Indonesian elementary students at the Sungai Buloh Learning Studio, Malaysia, through the integration of traditional Indonesian games Bentik, Dakon, and Engklek. The program was designed based on partner needs and implemented as culturally integrated ma...
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Penerapan Teknologi Produksi dan Pemasaran Digital pada Kelompok Tani Jamur Tiram “KRAJATANI” Desa Kraja, Weru, Sukoharjo
Pratiwi, Dessy Ade
; Soepatini, Soepatini
; Rahma, Anisa Ur
; Saputra, Eqwar
; Amalia, Kharisma Dinda
; Ramadhan, Mahabil Mardya
Buletin KKN Pendidikan
Vol 7
, No 2
(2025)
Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan produktivitas dan daya saing Kelompok Pembudidaya Jamur Tiram “KRAJATANI” di Desa Krajan, Kecamatan Weru, Kabupaten Sukoharjo, melalui penerapan teknologi tepat guna dan pendampingan digital marketing. Permasalahan utama yang dihadapi mitra meliputi keterbatasan sarana produksi, ketergantungan terhadap pembelian baglog dari pihak luar, serta rendahnya pemanfaatan teknologi digital dalam pemasaran produk. Metode pelaksanaan ke...
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Prediksi Konsentrasi PM2.5 Resolusi 15 Menit di Kabupaten Brebes Menggunakan Transformer dan GEOS-CF NASA
Jurnal Elektronika dan Komputer
Vol 18
, No 2
(2025)
Polusi udara partikulat halus (PM2,5) merupakan ancaman serius bagi kesehatan masyarakat di Kabupaten Brebes, Jawa Tengah. Faktor penyumbang utamanya adalah emisi kendaraan di jalur Pantura, aktivitas industri perikanan, serta konsentrasi tinggi selama musim kemarau (Juni–November). Tidak adanya model peramalan sub-jam yang akurat menghambat pengembangan sistem peringatan dini yang efektif. Penelitian ini mengembangkan dan mengevaluasi model deep learning berbasis Transformer untuk memprediksi k...
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Klasifikasi Preferensi Destinasi Wisata Gunung dan Pantai Menggunakan Metode Deep Learning
Jurnal Elektronika dan Komputer
Vol 18
, No 2
(2025)
Tourism is one of the sectors that plays an important role in boosting economic growth through travel activities and destination exploration. Tourists' preferences for nature-based tourism options, such as mountain hiking or beach tourism, are influenced by various factors, ranging from personal experiences and recreational interests to social characteristics. Therefore, a technology-based approach is needed to predict destination choice tendencies more accurately. As artificial intelligence tec...
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