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STUDI LITERATUR : METODE PELATIHAN MANAJEMEN KESELAMATAN PROSES BAGI MANAJER, PENGAWAS DAN PEKERJA LAPANGAN DI PERUSAHAAN KILANG MINYAK BUMI
Masjuli, Masjuli
; Marhaendra, Andhika Dwi
; Handayani, Hanifah
; Ramli, Azizan
; Rosmalia, Rosmalia
Perusahaan kilang minyak bumi mempunyai potensi bahaya terjadinya kebakaran, peledakan, pencemaran lingkungan yang dapat menyebabkan korban jiwa manusia baik dari pekerja, maupun masyarakat, harta benda perusahaan, masyarakat dan kerusakan lingkungan. Oleh karena itu, untuk meminimalkan risiko, maka semua pekerja baik jenjang manajer, pengawas (supervisor), maupun pekerja lapangan (frontliner) perlu mendapatkan pelatihan untuk memahami manajemen keselamatan proses (Process Safety Management – PS...
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Collaborative leadership between principals and school counselors as a predictor of students' PERMA well-being in wetland-based senior high schools
Student well-being is increasingly recognized as a core indicator of educational quality, yet its structural and leadership determinants remain underexplored in wetland-based school systems. This study critically examines whether collaborative leadership between principals and school counselors predicts students’ PERMA well-being in public senior high schools in Provinsi Kalimantan Selatan, Indonesia. Using a multisite quantitative survey, data were collected online from 12 randomly selec...
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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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Performance Evaluation of a Community-Scale Fiberglass Anaerobic Digester for Biogas and Nutrient Recovery
The management of organic waste using an anaerobic reactor offers the potential for renewable energy production and nutrient recovery. This study evaluates the performance of a 3,000 L fiberglass anaerobic reactor designed to treat a mixture of kitchen waste, cow manure, and water in a 1:1:1 ratio. The process was conducted under mesophilic conditions (30–38 °C) over a 40-day batch cycle. The reactor produced a total of 63.75 m³ of biogas with an average methane content of 59.3%, equivalent to 0...
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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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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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Digital Lean-Process Framework for Creative-Industry Efficiency (Case: Sipirok, Indonesia)
This study develops a community empowerment model for the creative economy by integrating local wisdom, education, institutional support, and technology while applying Value Stream Mapping (VSM) to reduce process inefficiencies affecting sustainable tourism. The research introduces Lean-based process optimization using engineering metrics such as cycle time, uptime, and defect ratio. Results indicate that Lean interventions reduced cycle time by 25.3%, increased uptime by 6.8%, and decreased wai...
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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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