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International Journal of Research in Vocational Studies (IJRVOCAS)
Published by Yayasan Ghalih Pelopor Pendidikan
ISSN : 27770168     EISSN : 27770141     DOI : https://doi.org/10.53893/ijrvocas.v1i1
Core Subject : Economy, Science, Education, Social, Engineering,
Aerospace Engineering Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other
The International Journal of Research in Vocational Studies (IJRVOCAS) is a double-blind peer-reviewed journal. This journal provides full open access to its content on the principle that making research freely and independently available to the science community and the public supports a greater global exchange of knowledge and the further development of expertise in the field of vocational education and training (VET). IJRVOCAS is since the beginning independent from any non-scientific third-party funding. The establishment of the journal was supported between 2015 and 2016 with grants from the Yayasan Ghalih Pelopor Pendidikan (Ghalih Foundation). All members of IJRVOCAS work on an honorary basis. The journal is hosted by Ghalih Publishing and the publishing house of the Ghalih Academic. Scope IJRVOCAS covers all topics of VET-related research from pre-vocational education (PVE), initial vocational education and training (IVET) and career and technical education (CTE) to workforce education (WE), human resource development (HRD), professional education and training (PET) and continuing vocational education and training (CVET).
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 8 Documents
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Search results for , issue "Vol. 5 No. 2 (2025): IJRVOCAS - August" : 8 Documents clear
Potential of Activated Coal Fly Ash as an Adsorbent Material in Carbon Capture Technology Putri, Rizki Aria; Syarif, Aida; Kalsum, Leila
International Journal of Research in Vocational Studies (IJRVOCAS) Vol. 5 No. 2 (2025): IJRVOCAS - August
Publisher : Yayasan Ghalih Pelopor Pendidikan (Ghalih Foundation)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/ijrvocas.v5i2.379

Abstract

The rising carbon dioxide (CO₂) emissions from biomass combustion processes have become a central concern in climate change mitigation. This study explores the utilization of coal fly ash as a cost-effective and environmentally friendly adsorbent in carbon capture technology. Thermal activation was applied to fly ash at temperatures of 600°C, 700°C, and 800°C to enhance its surface characteristics. Characterization using Iodine Number and X-ray Diffraction (XRD) revealed significant improvements in adsorptive properties, particularly at 600°C. The findings confirm that activated fly ash possesses high potential as a CO₂ adsorbent due to the presence of crystalline calcium oxide (CaO), which facilitates carbonate formation. This research supports the integration of waste-based adsorbents in sustainable CO₂ mitigation strategies.
Performance Improvement of Sand-Based Batteries using Sea Sand and Metal Waste as an Alternative Energy Storage System Siswanto; Rusdianasari; Indrayani
International Journal of Research in Vocational Studies (IJRVOCAS) Vol. 5 No. 2 (2025): IJRVOCAS - August
Publisher : Yayasan Ghalih Pelopor Pendidikan (Ghalih Foundation)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/ijrvocas.v5i2.427

Abstract

The shift to renewable energy faces the challenge of intermittency, which requires effective Energy Storage Systems (ESS). Sand-Based Thermal Energy Storage (TES) presents a cost-effective and environmentally friendly solution, although it suffers from the low thermal conductivity of sand. This research seeks to enhance the thermal efficacy of sand batteries by incorporating waste iron shavings from lathes as a composite material and examining its suitability for pilot-plant scale heating.A 96-liter sand battery container was used with varying mixtures of iron waste at 0%, 10%, 20%, and 30% relative to the volume of sea sand. The charging process used a 4000-watt power supply for simulation and 4000 Wp solar panels for validation. The discharge process was implemented to provide heat to a copra drying oven. The findings indicate that incorporating waste iron significantly improves the heat transfer rate and temperature uniformity during charging. The composition with 30% iron (P-30) demonstrated the most favorable thermal properties. During discharge tests, the system maintained the copra drying oven temperature within 56-57°C for over 12 hours, meeting the required drying temperature standards. This study proves that sand batteries with a waste iron composite represent an effective, cost-effective, and sustainable TES solution for thermal applications in the context of renewable energy.
Hybrid Passive Cooling System for Rooftop Photovoltaics with Varying Height Clearances Fauzi, Pebi Dian; Kusumanto, RD.; Hasan, Abu
International Journal of Research in Vocational Studies (IJRVOCAS) Vol. 5 No. 2 (2025): IJRVOCAS - August
Publisher : Yayasan Ghalih Pelopor Pendidikan (Ghalih Foundation)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/ijrvocas.v5i2.428

Abstract

The increasing adoption of rooftop photovoltaic (PV) systems as a renewable energy source is often hindered by the negative impact of high operating temperatures on their efficiency. To address this, a hybrid passive cooling system offers a promising solution to enhance the power output of PV panels while supporting environmental sustainability. This study investigates the effects of varying the height clearance between a PV panel and the roof surface on the thermal performance and energy efficiency of a hybrid passive cooling system. The research integrates a passive cooling setup, which utilizes natural airflow without additional energy consumption, with a thermoelectric generator (TEG) based on a Peltier module to convert waste heat into supplementary electrical energy. The study employed both simulation and experimental methods to analyze the thermal and energy performance of the system at different height configurations. Five identical 30W Maysun solar panels were tested at heights of 1 cm, 5 cm, 10 cm, 15 cm, and 20 cm, with data on temperature and voltage collected throughout the day. The results indicate that increasing the installation height significantly improves air circulation, leading to lower panel temperatures and higher voltage outputs. The optimal configuration was found to be at a height of 20 cm, which consistently yielded the highest voltage. Furthermore, the integration of a Peltier module with a heatsink proved effective, generating up to 623 mV of additional voltage by converting waste heat. These findings provide valuable insights and practical recommendations for designing more efficient rooftop PV installations, contributing to the advancement of sustainable building technologies and the global effort to reduce carbon emissions.
Study on the Utilization of Egg Shells as CO2 Adsorbent in the Combustion Process of Empty Palm Fruit Bunches Pratama, Andrian Putra; Yerizam, Muhammad; Syarif, Aida
International Journal of Research in Vocational Studies (IJRVOCAS) Vol. 5 No. 2 (2025): IJRVOCAS - August
Publisher : Yayasan Ghalih Pelopor Pendidikan (Ghalih Foundation)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/ijrvocas.v5i2.429

Abstract

The problem of carbon dioxide (CO2) emissions from the combustion of biomass, such as empty palm fruit bunches (TKKS), is a significant challenge in climate change mitigation efforts. This research aims to examine the effectiveness of eggshells as a CO2 adsorbent in the combustion process of empty palm fruit bunches, and to analyze the effect of adding adsorbent mass on exhaust gas emissions. Eggshells were calcined at 900°C to produce calcium oxide (CaO), then characterized using XRD and Iodine Number tests, and tested in a CO2 adsorption system using gas flow. The XRD test results showed that calcined eggshells have a crystalline structure with a crystalline level of 93.54%, indicating the dominance of CaO compounds as the active component. The Iodine Number test yielded the highest value of 330.018 mg/g at a mass of 2 grams, which indicates good surface area and porosity. CO2 adsorption testing showed that an adsorbent mass of 15 grams was able to reduce CO2 concentration from 974 ppm to 212 ppm, while adding adsorbent mass above 30 grams did not provide a significant reduction due to the increasing initial CO2 concentration. Overall, the results of this study indicate that eggshells have the potential to be an effective, environmentally friendly, and organic waste-based CO2 adsorbent. Their utilization can be an alternative simple carbon capture technology for biomass combustion systems, while also supporting sustainable household waste management.
Implementation of Convolutional Neural Network in Mobile Applications for Solar Panel Crack and Efficiency Prediction Sodiq, Wisnu Kurniawan; Taqwa, Ahmad; Kusumanto
International Journal of Research in Vocational Studies (IJRVOCAS) Vol. 5 No. 2 (2025): IJRVOCAS - August
Publisher : Yayasan Ghalih Pelopor Pendidikan (Ghalih Foundation)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/ijrvocas.v5i2.430

Abstract

Solar panels, as a renewable energy source, are susceptible to efficiency degradation due to cracks in solar cells. Manual crack detection has many limitations, while the use of specialized tools like electroluminescence imaging is not economical for small-scale users. Therefore, this research aims to develop an image-based automatic detection system using the Convolutional Neural Network (CNN) method, specifically the YOLOv8 architecture, integrated into a web-based mobile application using the Flask framework. Solar panel image datasets were collected and annotated using Roboflow, then trained in Google Colab with the help of a GPU. The trained model is integrated into a web-based mobile application, allowing users to upload panel images, detect cracked areas, and estimate panel efficiency based on linear regression of the crack area. Testing results show that the system can function in real-time, although the accuracy of efficiency estimation can still be improved due to limitations in data quantity and variation. This research is expected to be an economical and practical solution for solar panel monitoring.
Enhancing CSR Effectiveness through Financial Literacy: A Moderated Analysis on Corporate Image in PT Arutmin Indonesia Site Asam-asam Rizka, Nor Rahma; Rininda, Bella Puspita; Suasri, Eni; Amelia, Noor; Wawan, Endang; Yakin, Nurul
International Journal of Research in Vocational Studies (IJRVOCAS) Vol. 5 No. 2 (2025): IJRVOCAS - August
Publisher : Yayasan Ghalih Pelopor Pendidikan (Ghalih Foundation)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/ijrvocas.v5i2.439

Abstract

This study investigates the effect of Corporate Social Responsibility (CSR) on financial literacy with corporate image as a moderating variable, focusing on the community surrounding PT Arutmin Indonesia Site Asam-asam. Drawing on stakeholder theory, the research argues that CSR initiatives can serve as a strategic instrument to enhance community capacity, particularly in financial knowledge and decision-making skills. Employing a quantitative approach with Moderated Regression Analysis (MRA), the study analyzed 38 valid responses from beneficiaries of CSR programs. The results indicate that CSR has a significant positive effect on financial literacy, and this relationship is substantially strengthened when corporate image is favorable. In the moderated model, the direct effect of CSR becomes less pronounced, highlighting the pivotal role of corporate image in shaping program outcomes. The findings extend CSR literature by positioning financial literacy as a key outcome of corporate social initiatives and by confirming corporate image as a critical boundary condition. Practically, the study provides evidence-based recommendations for companies to integrate CSR with reputation-building strategies in order to maximize stakeholder trust and participation. Despite limitations related to sample size and context, the study offers novel insights from the Indonesian extractive industry, underscoring the importance of aligning CSR implementation with corporate image to achieve sustainable community empowerment.
Financial Distress Prediction in Indonesian Infrastructure Companies Using the Cox Proportional Hazard Model Mukhlisah, Nurul; Nikmah, Nailiya; Julkawait
International Journal of Research in Vocational Studies (IJRVOCAS) Vol. 5 No. 2 (2025): IJRVOCAS - August
Publisher : Yayasan Ghalih Pelopor Pendidikan (Ghalih Foundation)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/ijrvocas.v5i2.452

Abstract

This study investigates the determinants of financial distress in infrastructure companies listed on the Indonesia Stock Exchange (IDX) during 2020–2024 using survival analysis with the Cox proportional hazard model. The analysis focuses on five firm-level indicators: leverage, profitability, firm size, free cash flow, and sales growth. Survival time until financial distress and event status were constructed to enable longitudinal modeling. Descriptive statistics, Kaplan–Meier estimation, and log-rank tests were employed to explore group differences in survival probabilities, followed by Cox regression to identify key predictors. The results demonstrate that leverage and free cash flow are the most significant determinants of financial distress. A one-standard-deviation increase in leverage raises the hazard by more than twenty-five times, while higher free cash flow reduces the hazard to about 39% of its baseline. Profitability, firm size, and sales growth do not exhibit statistically significant effects. These findings emphasize the dual role of debt burden and liquidity as critical drivers of financial resilience in capital-intensive infrastructure firms. The study provides practical implications for different stakeholders. For managers, it highlights the need to strengthen liquidity management and avoid excessive debt dependence. For investors, leverage and free cash flow indicators serve as reliable early warning signals of potential distress. For regulators, the results underline the importance of monitoring firm-level liquidity and leverage alongside traditional solvency measures to safeguard sectoral stability.
Effective CO₂ Capture from Biomass Flue Gas Using a DEA-Promoted Potassium Carbonate Absorbent in a Packed Column Reactor Aprizal, Candra; Hasan, Abu; Bow, Yohandri
International Journal of Research in Vocational Studies (IJRVOCAS) Vol. 5 No. 2 (2025): IJRVOCAS - August
Publisher : Yayasan Ghalih Pelopor Pendidikan (Ghalih Foundation)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53893/ijrvocas.v5i2.446

Abstract

This research investigates the effectiveness of a Diethanolamine (DEA) promoted potassium carbonate (K₂CO₃) solution for capturing carbon dioxide (CO₂) from flue gas generated by the carbonization of coconut shells. The study aimed to evaluate the influence of absorption column packing height and absorbent flow rate on CO₂ removal efficiency. The absorption process was conducted in a counter-current packed column using a solution composed of 30% wt K₂CO₃ and 3% wt DEA. Key process variables included packing heights of 10, 20, 30, and 40 cm, and absorbent flow rates of 0.5, 1.0, and 1.5 L/m. The results demonstrated that the combined DEA and K₂CO₃ solution is highly effective, achieving a maximum CO₂ removal efficiency of 97.81% at a packing height of 40 cm and a flow rate of 1.5 L/m. Analysis of the absorbent solution revealed a corresponding decrease in carbonate (CO₃²⁻) concentration and an increase in bicarbonate (HCO₃⁻) concentration, confirming the chemical absorption of CO₂. The process kinetics were found to align with a pseudo-second-order model. This study concludes that a packed column absorption system with a DEA-promoted K₂CO₃ solution presents an effective and viable method for mitigating CO₂ emissions from biomass processing.

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