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All Journal JOMLAI: Journal of Machine Learning and Artificial Intelligence International Journal Of Health And Social Behavior Sevaka: Hasil Kegiatan Layanan Masyarakat
Syarifah Adriana
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Education Engineering Health Professions Nursing Public Health

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Study Of Factors Determining English Language Ability Students Of High School Nutrition Study Program Nabire Persada Health Science Syarifah Adriana; Purnama Ramadhani; Enjelika K Demetouw
International Journal of Health and Social Behavior Vol. 2 No. 1 (2025): February: International Journal of Health and Social Behavior
Publisher : Asosiasi Riset Ilmu Kesehatan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijhsb.v2i1.241

Abstract

English language skills are very important for students to support academic tasks and to support their future careers. English language skills include listening, speaking, reading and writing skills. The purpose of this study was to determine the determining factors of English language skills of students in the Nutrition Science study program at the Persada Nabire Health Sciences College (STIKes). The type of research used is descriptive research with a qualitative approach. Data collection techniques used are interviews and documentation. The results of this study indicate that in general the determining factors of English language skills of students of the Nutrition Study Program of STIKes Persada Nabire include 4 factors, including: Listening Ability, in this case students have a low vocabulary, Speaking Ability, in this case what affects students' speaking ability is the students' anxiety about mistakes in speaking English and lack of mastery of English grammar, Reading Ability, factors that affect students are reading motivation and low vocabulary and lack of mastery of grammar, Writing Ability, factors that affect students are low interest and lack of support from the environment around students.
PENINGKATAN MINAT BELAJAR BAHASA INGGRIS DENGAN METODE SMALL GROUP DISCUSSION DI SEKOLAH TINGGI ILMU KESEHATAN PERSADA NABIRE Syarifah Adriana; Purnama Ramadhani; Enjelika K Demetouw
Sevaka : Hasil Kegiatan Layanan Masyarakat Vol. 3 No. 1 (2025): Februari : Sevaka : Hasil Kegiatan Layanan Masyarakat
Publisher : STIKES Columbia Asia Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62027/sevaka.v3i1.286

Abstract

Bahasa Inggris adalah bahasa universal. Bahasa Inggris digunakan dalam komunikasi global. Di era globalisasi saat ini, bahasa Inggris sangat penting peranannya dalam menunjang kompetensi mahasiswa dalam menyelesaikan tugas akademik dan untuk memudahkan meningkatkan karir di masa depan. Akan tetapi, pada kenyataannya masih banyak mahasiswa khususnya mahasiswa program studi Gizi Sekolah Tinggi Ilmu Kesehatan (STIKes) Persada Nabire yang memiliki keterampilan berbahasa Inggris masih rendah. Untuk meningkatkan minat mahasiswa dalam mempelajari bahasa Inggris, khususnya pada mahasiswa program studi Gizi STIKes Persada Nabire, maka dirasa penting untuk dilaksanakan pengabdian dengan mengambil tema “Peningkatan Minat Belajar Bahasa Inggris Dengan Metode Small Group Discussion di Sekolah Tinggi Ilmu Kesehatan Persada Nabire”. Metode pembelajaran small group discussion dipilih untuk dapat meningkatkan keaktifan mahasiswa dalam proses pembelajaran bahasa Inggris dan mampu bekerja sama dengan mahasiswa lainnya dalam memecahkan permasalahan. Kegiatan pengabdian kepada masyarakat ini telah di lakukan pada bulan Juni 2024 di Laboratorium STIKes Persada Nabire. Jumlah peserta pada kegiatan pengabdian ini yaitu sebanyak 37 orang mahasiswa program studi Gizi angkatan 2022/2023. Pengabdian kepada masyarakat yang dilakukan bertujuan untuk meningkatkan minat dan motivasi belajar bahasa Inggris sehingga dapat meningkatkan keterampilan berbahasa Inggris mahasiswa program studi Ilmu Gizi STIKes Persada Nabire.
Quantum-Entropy NARX (Q-ENARX): A Mathematical Framework for Forecasting Based on Quantum Information Theory and Nonlinear Dynamic Regularization Tengku Reza Suka Alaqsa; Syarifah Adriana
JOMLAI: Journal of Machine Learning and Artificial Intelligence Vol. 4 No. 4 (2025): Desember 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/jomlai.v4i4.6722

Abstract

This study addresses the limitations of conventional nonlinear autoregressive models, which struggle to maintain stability and generalization in high-dimensional, non-stationary forecasting environments. The research aims to develop a mathematical framework that integrates deterministic dynamics with probabilistic uncertainty through the proposed Quantum-Entropy NARX (Q-ENARX) model. The methodology combines nonlinear autoregressive modeling, entropy-based trust-region optimization, and quantum information theory to establish a unified formulation for dynamic forecasting. The model embeds NARX states into a quantum Hilbert space, introduces an entropy-regularized loss function to balance accuracy and uncertainty, and employs a quantum Fisher Information Matrix for curvature-aware optimization. Analytical derivations reveal that Q-ENARX achieves enhanced stability, improved generalization, and robust convergence by leveraging quantum state dynamics, entropy-energy duality, and fractional learning operators. The results shows that the integration of entropy and quantum principles transforms traditional NARX forecasting into a probabilistically interpretable and physically grounded framework capable of capturing complex temporal correlations with high mathematical precision.
Co-Authors Enjelika K Demetouw Purnama Ramadhani Tengku Reza Suka Alaqsa