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Menampilkan 11–20 dari 5453 artikel
The effect of role playing on social interaction
This research was motivated by the results of observations that found a number of students were still unable to interact optimally. Some students tend to be solitary, show awkwardness when dealing with new friends, lack courage in communicating, and have difficulty working together with peers outside their circle of friends and are reluctant to get involved in group activities. This study aims to determine the influence of role playing on social interaction. Researchers use group guidance servic...
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Pengaruh Edukasi Ibu Hamil terhadap Pencegahan Stunting di Desa Yamansari, Kabupaten Tegal
Stunting adalah masalah gizi kronis yang menjadi tantangan besar dalam bidang kesehatan masyarakat, terutama di wilayah dengan prevalensi tinggi seperti Kabupaten Tegal. Penelitian ini bertujuan untuk menganalisis pengaruh edukasi terhadap pengetahuan dan perilaku ibu hamil dalam mencegah stunting di Desa Yamansari. Penelitian ini menggunakan metode kuantitatif dengan pendekatan deskriptif dan analisis regresi. Hasil penelitian menunjukkan bahwa edukasi memiliki pengaruh positif terhadap peningk...
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PENGARUH TEKNIK HEEL EFFECT TERHADAP PIXEL VALUE (PV) DAN NILAI KONTRAS RADIOGRAFI PADA PEMERIKSAAN RADIOGRAFI OS FEMUR
Os Femur atau tulang paha adalah salah satu organ yang memiliki ketebalan objek yang berbeda antara bagian proksimal dengan bagian distalnya, sehingga dalam pemeriksaannya dibutuhkan teknik tertentu untuk mendapatkan kualitas gambar yang baik. Pada praktiknya, penggunaan teknik Heel Effect digunakan untuk pemeriksaan radiografi os femur agar mendapatkan kualitas gambar yang baik terutama pada Pixel Value (PV) dan Nilai Kontras Radiografi. Tujuan : Untuk mengetahui seberapa besar pengaruh penggun...
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Technology-Driven Digital Marketing Strategies and their Impact on E-commerce Purchase Decisions
The rapid growth of internet penetration and digital platforms has transformed marketing practices in Indonesian Vocational Training Centers (LPKs). However, inconsistent outcomes in trainee recruitment highlight a gap in understanding the effectiveness of digital marketing in this context. This study aims to examine the effect of digital marketing on purchase intention, with consumer engagement as a mediator and consumer trust as a moderator. Data were collected from 384 trainees in East and We...
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Comparative Evaluation of Automatic Labeling and Modeling Strategies for Indonesian Sentiment Analysis: Methodology and Performance Evaluation
Latifa, Khoiriya
; Agung Handayanto
; Nur Latifah Dwi M.S
; Rahul Bhandari
; Ton Nguyen Trong Hien
; Doston Pirnazarov
Sentiment analysis is vital for understanding consumer perception, yet Indonesian sentiment classification faces challenges due to labeled data scarcity and computational constraints. This study advances automatic labeling techniques and establishes performance benchmarks for Indonesian text. The research compares two labeling approaches InSet Lexicon and IndoBERT based Hugging Face pipeline on 8,447 Tapera-related opinions. Results show InSet Lexicon produced a highly skewed distribution (89.66...
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Implementing ‘De KeLuVa’ Media Based on the Tri-N Approach to Improve Cognitive Learning Outcomes of Fourth Grade Elementary Students
Education plays an important role in developing students’ character, intellectual abilities, and problem-solving skills, particularly in mathematics education. However, mathematics learning in elementary schools is often dominated by teacher-centered instruction, resulting in low student engagement and cognitive learning outcomes. Therefore, this study aimed to analyze the implementation of De KeLuVa media based on the Tri-N approach (Niteni, Nirokke, and Nambahi) to improve fourth-grade student...
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Exploring Mathematics Teachers’ Perceptions of ChatGPT for Personalized Learning and Technology Dependence
The development of artificial intelligence, particularly ChatGPT, has begun to influence mathematics learning in classrooms. This technology is not only used as a learning support tool but also affects how teachers teach and how students understand mathematical concepts. This study aims to analyze the effectiveness of ChatGPT in mathematics learning, its benefits and challenges, and the potential for technology dependence based on mathematics teachers’ perspectives. This study employed a System...
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Effect of Freeze-Dried and Oven-Dried Cilembu Sweet Potato Flour on the Antioxidant Activity of Chicken Meatballs.
Putra, Azchar Prianka Piawan
; Sirajuddin, Muhammad Mar'ie
; Malik, Hotlan
; Husein, Muhammad
; Riskayanti, Riskayanti
; Prasetya, Rizki
; Haryati, Stefani Fitri
; Arief, Fitri Armianti
; Dami, Juni Claudia
; Amalia, Ditasari
; Masruri, Alvin
This study evaluated the effect of different dehydration methods, specifically oven drying (60°C) and freeze-drying (-20°C to 65°C), on the antioxidant activity of Cilembu sweet potato (Ipomoea batatas L. Lam) flour and its functional application in chicken meatballs. The antioxidant capacity was measured using the DPPH radical scavenging assay, with results showing that freeze-drying significantly preserved higher levels of bioactive compounds compared to thermal evaporation. Freeze-dried tuber...
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The Effect of Egg Weight on Fertility, Hatchability, and Hatching Weight in Ducks: A Quantitative Observational Study
Egg weight is one of the physical characteristics often associated with reproductive performance in ducks, particularly fertility, hatchability, and hatching weight. This study aimed to evaluate the effect of egg weight on fertility, hatchability, and Day Old Duck (DOD) weight. A quantitative approach with an analytical observational design was applied to 100 duck eggs incubated under standard temperature and humidity conditions using an incubator. Parameters observed included egg weight, fertil...
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Reinforcement Learning for Personalised Critical Care Treatment using Scalable Parallel Computing
Utomo, Chandra Prasetyo
; Ichikawa, Kohei
; Insani, Nashuha
; Thonglek, Kundjanasith
; Xingyuan, Kang
; Maulani, Chaerita
; Rachmawati, Ummi Azizah
Sepsis is one of the leading causes of death in intensive care units. Many patients do not receive timely or effective treatment, which lowers their chances of survival. We developed a reinforcement learning–based framework to provide personalised treatment recommendations for sepsis patients. The model creates simple patient representations from treatment responses, groups patients with similar patterns, and learns the best treatment policy for each group. To reduce long training time, we use p...
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