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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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KADAR FLAVONOID TOTAL DAN AKTIVITAS ANTIKOLESTEROL IN VITRO PADA VARIASI EKSTRAK KULIT BUAH ALPUKAT (Persea americana)
Penyakit kardiovaskular merupakan penyebab utama kematian secara global. Penyakit kardiovaskular tiga kali lebih umum terjadi pada individu dengan kolesterol tinggi dibandingkan pada individu yang sehat. Salah satu dari beberapa tanaman obat yang dapat menurunkan kolesterol diantaranya adalah alpukat (Persea americana Mill.) pada bagian kulitnya. Kulit alpukat (Persea americana Mill.) mengandung senyawa flavonoid. Telah dibuktikan bahwa tanaman yang mengandung banyak senyawa flavonoid dapat menu...
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Analysis of Claims and Dispute Resolution in Construction Projects: a Case Study Approach
Disputes in construction projects are often inevitable due to various factors such as delays, cost overruns, and changes in scope. This study aims to identify the root causes of claims and examine the resolution strategies implemented in the Sierra Intercultural School construction project. Using a qualitative descriptive approach, data were collected through in-depth interviews with contractors, consultants, and owners, as well as analysis of supporting documents such as contracts and site repo...
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Performance Optimization of a Petrochemical Cooling Tower via Fill Replacement: Cleanflow vs Cleanflow Plus
This study investigates the performance improvement of an induced draft, counterflow cooling tower after replacing the existing Cleanflow fill with Cleanflow Plus. One cell (E) was upgraded while four cells (A–D) served as the baseline under CTI ATC-105 procedures. Measurements included outlet temperature, wet-bulb temperature, circulation flow, and fan power. Results show that Cell E achieved a higher cooling range (9.20°C vs. 8.63°C average) and a lower approach (6.29°C vs. 6.87°C average). He...
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Creative Economy Development in Enhancing Sustainable Tourism Potential in Kutai National Park, East Kalimantan
This research investigates the integration of the creative economy as a catalyst for sustainable tourism development within Kutai National Park (KNP), East Kalimantan. Despite its ecological significance as a lowland rainforest and Orangutan habitat, KNP faces stagnation due to a reliance on extractive resources and a lack of diversified tourism products. Employing a qualitative descriptive methodology and SWOT analysis, this study maps the creative potential of the region and evaluates its impa...
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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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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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