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Menampilkan 21–30 dari 1535 artikel
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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Architecture and Field Evaluation of an IoT-Integrated Village Information System for Public Service
Hartono, Susilo
; Universitas Muhammadiyah Pringsewu
; Sutikno, Tole
; Ahmad Dahlan University
; Yudhana, Anton
; Ahmad Dahlan University
Telematika
Vol 19
, No 1
(2026)
Village public services often struggle with slow administrative workflows, limited transparency, and unequal access to service information, particularly where processes remain manual and difficult to monitor in real time. This study evaluates a deployed integrated village information system augmented with Internet of Things (IoT) signals—RFID-based operational monitoring and water/electricity facility-status sensing—to assess whether service quality improved after implementation and to clarify t...
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Fairness Auditing and Bias Mitigation in Aspect-Based Sentiment Models for Indonesian Public Services
Jondien, Muhammad Shihab Fathurrahman
; Magister of Computer Science, Amikom Purwokerto University, Indonesia
; Hariguna, Taqwa
; Magister of Computer Science, Amikom Purwokerto University, Indonesia
; Saputra, Dhanar Intan Surya
; Magister of Computer Science, Amikom Purwokerto University, Indonesia
Telematika
Vol 19
, No 1
(2026)
This study presents a comprehensive fairness audit and bias mitigation framework for Indonesian sentiment analysis using the SmSA IndoNLU dataset and the IndoBERT language model. The research investigates demographic and linguistic fairness by evaluating model performance across gender and regional groups and introduces an aspect-based extension to assess semantic fairness using an ABSA-style input formulation. Fairness metrics such as ΔF1, Demographic Parity Difference (DPD), and Equality of Op...
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