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An Engineering Perspective on School Digitalization Application Adoption in Indonesia: A Structural Model Using UTAUT2, TTF, and Trust
This study examines the factors that influence the acceptance of digital school applications in Indonesia against the backdrop of the gap between the number of registered users and active users. Data was obtained from 497 respondents and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The research model expands UTAUT2 by adding the variables Task-Technology Fit (TTF) and Trust. The results indicate that Trust significantly influences Usage Behavior (β = 0.403; p <...
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Effect of Printing Speed on the Properties of 3D Printed Products Using Recycled PET Filament
Fitriyana, Deni Fajar
; Agung Efriyo Hadi
; Nugroho Suhodo
; Aldias Bahatmaka
; Januar Parlaungan Siregar
; Tezara Cionita
; Zuhriyan Ash Shiddieqy Bahlawan
; Achmad Yanuar Maulana
Recycled PET has been widely studied for its potential use in 3D printing applications. However, few research has examined how printing speed affects recycled PET filament products' mechanical and physical qualities. This research examines how printing speed influences the physical and mechanical qualities of 3D-printed PET filament goods created from mineral water bottle trash. In this study, filament fabrication is carried out using the homemade pultrusion machine, then the filament is used fo...
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Spatial Vulnerability Index Modeling for Climate Change Risk Assessment in Indonesia
This study develops a Fuzzy Logic-based Intelligent Decision Support Model (IDSM) to map climate change vulnerability across 34 Indonesian provinces, using 20 variables grouped into four parameters: greenhouse gases, geological factors, anthropological factors, and weather conditions. Data from 2015–2020 were sourced from the Global Atmosphere Watch, LAPAN, BASINS-CAT, BPS, and the DigComp 2.0 framework at the provincial level. The methodology involved data normalization, trend analysis via line...
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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 Deep Learning Models for Indonesian Gold Price Forecasting
Putra, Albi Pernata Jomantara
; Williamsyah, Baginda Mi’raj
; Rizal, Achmad
; Dewanta, Favian
; Prasasti, Anggunmeka Luhur
; Ziani, Said
This study evaluates LSTM, CNN-LSTM, LSTM-GRU, and CNN-LSTM-GRU architectures for forecasting Indonesian gold prices using 1,269 daily observations (2022–2025). Models utilized Bayesian-optimized hyperparameters and were benchmarked against ARIMA-GARCH and Random Forest baselines across 30-day and 365-day horizons. Performance was assessed via MAE, RMSE, R², and MAPE, confirming deep learning’s superiority in capturing non-linear dynamics over classical methods. The LSTM-GRU achieved the best nu...
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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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Implementation of Project-Based Learning (PjBL) Assisted by Geogebra Application to Improve Students’ Spatial Abilities
The purpose of this study was to determine whether the implementation of the Geogebra-assisted Project Based Learning (PjBL) model has an impact on improving students' spatial abilities or not. Quantitative method with experiments was used in this study. The sample used was class B and C students of Mathematics Education IAIN Kudus class of 2022/2023 who were selected through cluster random sampling techniques. To determine the level of effectiveness, pretest and posttest instruments were given...
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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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Design and Implementation of a Web-Based QR Code Employee Attendance System for Optimizing Attendance Management: A Case Study at Bento and Es Teh Luwes Ungaran
Nufninu, Novinda Grezen
; Rudjiono, Rudjiono
; Panjaitan, Cherlina Helena Purnamasari
; Nufninu, Novinda Grezen
; Rudjiono, Rudjiono
; Panjaitan, Cherlina Helena Purnamasari
Penelitian ini dilatarbelakangi oleh proses absensi karyawan pada Stand Bento dan Stand Es Teh Luwes Ungaran yang masih dilakukan secara manual menggunakan buku absensi. Kondisi tersebut menimbulkan beberapa kendala, seperti kesalahan pencatatan jam masuk dan pulang, risiko kehilangan atau kerusakan data, serta lambatnya proses rekapitulasi laporan kehadiran. Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem absensi karyawan berbasis web menggunakan teknologi QR Code guna m...
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Grouping of Student Attendance Discipline Levels Based on Daily Attendance Data Using the K-Means Algorithm
Putri, Syahwa Mutiara
; Rahmawati, Anita
; Bella, Alfina Chintya
; Gurowo, Damar Aji
; Arifin, Muhammad
; Putri, Syahwa Mutiara
; Rahmawati, Anita
; Bella, Alfina Chintya
; Gurowo, Damar Aji
; Arifin, Muhammad
Kedisiplinan kehadiran siswa merupakan aspek penting dalam proses pembelajaran karena mencerminkan partisipasi, tanggung jawab, dan kepatuhan terhadap aturan sekolah. Namun, data absensi sering kali hanya diperlakukan sebagai catatan administratif dan jarang dianalisis untuk mengidentifikasi pola keterlambatan yang berulang. Penelitian ini bertujuan untuk mengelompokkan pola keterlambatan siswa berdasarkan data absensi harian menggunakan algoritma K-Means guna memberikan gambaran yang lebih ters...
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