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Exploring the Impact of AI Chatbots on Students’ Speaking Skills in EFL Learners: A Systematic Review
Rachmadani, Khulud Oktavia
; Musyafa`ah, Isna Ridhoatul
; Rachmadani, Asti Hijriatul Januanto
; Rachmadani, Ima Fitriyah
ETERNAL: English Teaching Journal
Vol 17
, No 1
(2026)
AI chatbot is one of the latest technologies in solving EFL students' problems with speaking anxiety and limited speaking practice. In this study, we conduct a Systematic Literature Review for the investigation of the effect of using AI chatbots on EFL students' speaking skills and learners' perceptions toward the use of AI chatbots in speaking skill improvement. We followed the SALSA framework, which includes Search, Appraisal, Synthesis, and Analysis to direct our work. We searched Lens.org an...
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THE EFFECT OF SODIUM ALGINATE - CALCIUM CHLORIDE AS AN EDIBLE COATING ON WEIGHT LOSS, TPT AND COLOR OF FRESH CUT PEARS DURING COLD STORAGE
Agrisaintifika : Jurnal Ilmu - Ilmu Pertanian
Vol 10
, No 1
(2026)
Pears (Pyrus pyrifolia) are tropical fruits with a sweet taste, crisp texture, and high water content. Cut pears have a short shelf life of 3-5 days due to enzymatic browning and physical damage after cutting. One method to extend shelf life is the use of edible coatings. This study aimed to test the effectiveness of sodium alginate and calcium chloride as coatings for cut pears in maintaining physical quality and extending shelf life. This study used a completely randomized design (CRD) with tw...
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Penerapan Metode Bermain Bowling Aritmatika Terhadap Kemampuan Kognitif Anak
Paudia
Vol 15
, No 1
(2026)
Kemampuan kognitif anak usia dini, khususnya dalam mengenal angka, menghitung, dan melakukan penjumlahan sederhana, masih belum berkembang optimal apabila pembelajaran didominasi metode konvensional dan kurang melibatkan aktivitas bermain yang bermakna. Oleh karena itu, penelitian ini bertujuan untuk mengetahui efektivitas penerapan metode bermain Bowling Aritmatika dalam mengembangkan kemampuan kognitif anak usia 5–6 tahun di TKIT Baitusshalihin Banda Aceh. Penelitian ini menggunakan pendekatan...
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Keanekaragaman arthropoda dan perannya pada agroekosistem padi sawah tadah hujan: Keanekaragaman arthropoda dan perannya pada agroekosistem padi sawah tadah hujan
Perwira Journal of Science & Engineering (PJSE)
Vol 6
, No 1
(2026)
Agroekosistem sawah tadah hujan memberikan pengaruh terhadap keanekaragaman dan dinamika populasi arthropoda. Metode dengan memasang perangkap (sweep net dan yellow trap) yang dilakukan pada fase vegetatif, reproduktif, dan pematangan tanaman padi dengan interval satu minggu sekali pada 3 petak yang berbeda yang dilakukan pada . 25 Januari 2025 – 19 April 2025 di Kelurahan Palapa, Kota Bandar Lampung. Keanekaragaman arthropoda pada agroekosistem padi sawah tadah hujan dengan perangkap sweep net...
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Analisis Yuridis Hak Milik Tanah oleh Etnis Tionghoa Berdasarkan Pasal 9 Undang-Undang Pokok Agraria dan Implikasinya terhadap Kepastian Hukum
AMNESTI : Jurnal Hukum
Vol 8
, No 1
(2026)
Penelitian ini mengkaji hak kepemilikan tanah bagi etnis Tionghoa Warga Negara Indonesia (WNI) dalam perspektif Pasal 9 Undang-Undang Nomor 5 Tahun 1960 tentang Peraturan Dasar Pokok-Pokok Agraria (UUPA) dan implikasinya terhadap kepastian hukum di Daerah Istimewa Yogyakarta. Meskipun UUPA memberikan hak kepemilikan tanah secara setara bagi semua WNI, praktik di Yogyakarta melalui Instruksi Gubernur No. K.898/I/A/1975 membatasi hak kepemilikan etnis Tionghoa, menganggap mereka sebagai pemodal ku...
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Artificial Neural Network-Based Diabetes Prediction Analysis Using CDC Diabetes Health Indicators Data: Analisis dan Prediksi Diabetes Menggunakan Artificial Neural Network dengan Dataset CDC Diabetes Health Indicators
Jurnal Riset Sistem dan Teknologi Informasi
Vol 4
, No 1
(2026)
Diabetes mellitus is a chronic disease with increasing prevalence and requires effective early detection efforts. This study aims to develop a diabetes risk prediction model using an Artificial Neural Network (ANN) based on non-laboratory health indicators. The dataset used is the CDC Diabetes Health Indicators with a large amount of data and characteristics of classes that are not fully balanced. The research stages include data preprocessing that includes handling missing values, encoding cate...
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Depression Prediction Among University Students Using a Random Forest Algorithm Based on Psychosocial Data: Prediksi Depresi Mahasiswa: Pendekatan Berbasis Data Psikososial Menggunakan Algoritma Random Forest
Abiyya, Abiyya Alfahrizi Putra Arifiansyah
; Afandi, Muhammad
; Dwi Riskianto, Dodi
; Sudriyanto, Sudriyanto
Jurnal Riset Sistem dan Teknologi Informasi
Vol 4
, No 1
(2026)
College students' mental health is a critical issue that is gaining increasing attention, particularly regarding depression, which significantly impacts quality of life and academic achievement. This study aims to develop a predictive model for depression in college students based on psychosocial data using the Random Forest algorithm. The data used is a public secondary dataset from Kaggle with 1,000 samples, covering demographic variables, lifestyle, and psychological indicators. The analysis...
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Optimization of Off-Grid Solar Lighting Systems Using OEMOF Integrated with IoT Field Data — Case Study: Bukit Kunci, Indonesia
Herraprastanti, Eva Hertnacahyani
; Kiono, Berkah Fajar Tamtomo
; Haryanto, Ismoyo
; Muchammad, Muchammad
; Korai, Muhammad Safar
Advance Sustainable Science, Engineering and Technology
Vol 8
, No 1
(2026)
The growing need for efficient night lighting in natural tourist destinations highlights the importance of reliable and sustainable energy solutions. This study analyzes the optimization of solar-based lighting at Bukit Kunci, Indonesia, using the Open Energy Modelling Framework (OEMOF) combined with real-time monitoring via the IoT ThingSpeak platform. Photovoltaic (PV) panel data recorded at 15-second intervals during February–July 2025, yielding 532,520 records, were cleaned and aggregated as...
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Optimized Deep Learning Framework for Clinical Data Classification Using Firefly-Enhanced Stacked Sparse Autoencoders
Advance Sustainable Science, Engineering and Technology
Vol 8
, No 1
(2026)
Diabetes is a chronic metabolic disorder characterized by sustained high blood sugar levels, which frequently cause complications, including neuropathy and cardiovascular disease. Due to the complex and nonlinear nature of clinical data, accurate and timely prediction is challenging. Traditional approaches struggle to generalize or extract rich features from low-resolution datasets. In this paper, a hybrid deep learning model (FA-SSAE: Firefly Algorithm-based Stacked Sparse Autoencoder) is propo...
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Unifying Dual-Pyramid Structure and Y–G Channel Synergy for Full-Reference Image Quality Assessment
Advance Sustainable Science, Engineering and Technology
Vol 8
, No 1
(2026)
Standard metrics such as SSIM often overlook complex chromatic distortions, creating a gap between objective scores and human judgment. To address this, we present the Synergistic Structural Similarity Index (SSSI), a metric grounded in a novel dual-pyramid strategy that integrates Gaussian-blurred stability with direct subsampling sharpness. Our method departs from luminance-only analysis by employing an equal, synergistic partnership between the luminance (Y) and Green (G) channels, mirroring...
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