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The Utilization of Artificial Intelligence in the Educational Communication Process at Bandung 2 Senior High School
Solihin, Olih
; Yasundari, Yasundari
; Mogot, Yuni
; Syawalani , Dessy Angelia
; Hardiansyah, Mohammad
Jurnal Audience: Jurnal Ilmu Komunikasi
Vol 9
, No 1
(2026)
The rapid development of artificial intelligence (AI) has significantly influenced educational practices, particularly in shaping communication processes between teachers and students. This study aims to examine the utilization of AI in learning activities and its impact on educational communication at SMA Negeri 2 Bandung. Specifically, it focuses on how AI affects teacher–student interaction, communication patterns, and the pedagogical role of AI in the classroom. This study employed a converg...
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In Vitro Degradation and Mechanical Performance of Mg AZ31B for Biodegradable Bone Implant Applications
Magnesium AZ31B is a promising biodegradable implant material due to its mechanical properties comparable to natural bone and its ability to degrade in physiological environments, potentially eliminating the need for secondary surgery. However, its rapid degradation can cause a significant loss of mechanical integrity, limiting its use in load-bearing applications. This study investigates the evolution of mechanical properties and surface characteristics of AZ31B during in-vitro immersion in Sim...
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PROFILE OF CLIMATE CHANGE LITERACY AND SUSTAINABILITY AWARENESS ON GLOBAL WARMING MATERIAL
This study critically maps the climate change literacy (CCL) and sustainability awareness (SA) profiles of eighth-grade students at SMPN Satap 5 Hanau regarding global warming material. Employing a quantitative descriptive approach as an initial R&D needs assessment, the study uses cognitive tests, attitude questionnaires, and behavioral observations. Results reveal a pronounced behavioral gap: students excel in basic knowledge (average 86.5%) and show strong environmental concern (83.2%), b...
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Implementation of a Decision Support System to Improve the Objectivity of Selecting High-Aching Students Using the SAW Method at SMAS PGRI Kurnia
Akmal, Fadlan Muhammad
; Gustafi, Muhammad Fauzan
; Akmal, Fadlan Muhammad
; Gustafi, Muhammad Fauzan
Pemilihan siswa berprestasi di sekolah seringkali dilakukan secara manual dan berpotensi menimbulkan subjektivitas dalam pengambilan keputusan. Penelitian ini bertujuan untuk menerapkan Sistem Pendukung Keputusan (SPK) menggunakan metode Simple Additive Weighting (SAW) guna meningkatkan objektivitas, transparansi, dan efisiensi dalam proses seleksi siswa berprestasi. Penelitian dilakukan pada satu sekolah dengan melibatkan 20 alternatif siswa dan empat kriteria penilaian yang telah ditentukan bo...
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Pelatihan Koding dan Kecerdasan Artifisial bagi Guru SD di Sukoharjo sebagai Upaya Peningkatan Literasi Digital di Era Society 5.0
Buletin KKN Pendidikan
Vol 8
, No 1
(2026)
Era Society 5.0 menuntut penguatan literasi digital dan computational thinking sejak pendidikan dasar, namun kesenjangan kompetensi guru di daerah pedesaan masih menjadi tantangan utama dalam implementasinya. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kapasitas guru sekolah dasar dalam mengintegrasikan koding dan kecerdasan artifisial (AI) ke dalam pembelajaran sebagai upaya mendukung peningkatan literasi digital siswa. Kegiatan dilaksanakan di SDN 03 Mulur, Sukoharjo...
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Immersive Commerce: Implementasi Augmented Reality untuk Meningkatkan Kepercayaan Konsumen dalam Transaksi E-Commerce
DHARMA EKONOMI
(2026)
This study aims to describe the concept of Immersive Commerce based on Augmented Reality (AR) in increasing consumer confidence in E-Commerce transactions and to design a conceptual prototype design framework for an AR E-Commerce system with a clear technical flow. The research method uses a literature study through a comprehensive review of AR-based E-Commerce implementations and needs analysis from the perspective of consumer problems and business opportunities. The main problem identified is...
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Evaluating Civil Servant Selection through Machine Learning Analysis of National Insight, General Intelligence, and Personal Characteristics Test Scores
This study analyzes the score distribution of 2,490 candidates in the 2024 Ministry of Finance Public sector recruitment, focusing on the CNI, GIT, and PCT sections using machine learning classification. Models used include Logistic Regression (accuracy 0.7897), Random Forest (0.9779), and XGBoost (0.9809), all trained with default parameters (n_estimators=100, max_depth=None) and evaluated using accuracy, precision, recall, and F1-score. While ensemble models outperformed Logistic Regression, t...
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Viscosity Modeling of MES and SLS Using Machine Learning Method
Fathaddin, Muhammad Taufiq
; Setiati, Rini
; Akbar, Fahrurrozi
; Sumirat, Iwan
; Bharoto
; Ramadhan, Ranggi Sahmura
; Onnie Ridaliani Prapansya
; Ristawati, Arinda
Viscosity is crucial to improve the efficiency of injected fluids for oil displacement in reservoirs. Traditionally, research has focused on polymers that help reduce the mobility of injected fluids, while surfactant viscosity has received less consideration. This research investigated the viscosity behavior of methyl ester sulfonate (MES) and sodium lauryl sulfate (SLS) surfactant solutions using a machine learning method—adaptive neurofuzzy inference system (ANFIS). This study aimed to predict...
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Risiko Carpal Tunnel Syndrome pada Pengrajin Tembaga: Studi Kasus di Boyolali
Jurnal Kesehatan Masyarakat Indonesia
Vol 21
, No 1
(2026)
Latar belakang: Carpal Tunnel Syndrome (CTS) merupakan gangguan saraf akibat tekanan pada saraf medianus, umum terjadi pada pekerja dengan aktivitas repetitif dan paparan getaran, seperti di industri kerajinan tembaga CV. Muda Tama Gallery memiliki potensi risiko tinggi CTS akibat pekerjaan tangan intensif dan berulang. Penelitian ini menyoroti lima variabel dugaan penyebab CTS: usia, masa kerja, frekuensi gerakan repetitif, lama paparan, dan intensitas getaran alat kerja. Tujuan: menganalisis h...
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Diversity of plankton species in different ecosystems on Beras Basah Island, Bontang, East Kalimantan
Imam Fadila, Muhammad
; Anjasmara, Aang Setyawan
; Rizal, Daisy Rahma
; Rusdi, Rismawaty
; Reynalta, Ricko
Beras Basah Island, located in the coastal waters of Bontang City, East Kalimantan, is a marine conservation area characterized by diverse coastal ecosystems, including marine waters, coral reefs, and seagrass beds. These ecosystems support various aquatic organisms, including plankton communities that play a key role in marine food webs. This study aimed to examine the composition, abundance, and diversity of plankton across three different ecosystems around Beras Basah Island. Sampling was con...
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