Vol 4, No 2

Combine Improvement for Dye-Sensitized Solar Cells: Characterization of Metal Oxide-Doped TiO2 Nanoparticles Integrated with Clitoria Ternatea Extract

Dye Sensitized-Solar Cells (DSSC) represent a third-generation solar cell technology based on photoelectrochemical principles. This study explores the use of Clitoria ternatea (butterfly pea) extract as an organic dye for DSSCs, focusing on its ability to absorb sunlight effectively. Excitation of electrons triggered by light in photocatalysis is strongly influenced by the position of the […]

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Generating Hydrogen Gas with a Polyvinyl Alcohol Membrane Dry Cell Electrolyzer Using KOH Electrolyte

Global environmental concerns requiring excellent air quality have prompted the development of a variety of eco-friendly energy sources. Hydrogen gas is an environmentally friendly option that may be created using an electrolysis device that converts water into hydrogen (H2) and oxygen (O2). In this study, a dry cell electrolyzer with a polyvinyl alcohol (PVA) membrane

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Battery Analysis in Off Grid Solar Power Plant as A Power Source for AC Motor Automatic Coffee Roaster Machine Capacity 20 Kg

Solar power plants that utilize solar energy to be converted into electrical energy have several advantages compared to other power plants, namely that they do not produce air pollution, are available continuously and are available everywhere. Coffee is a commodity in the world that is cultivated in more than 50 countries. Two species of coffee

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Synthesis and Characterization of Silicon Nanoparticles from Coal Fly Ash Using Ultrasonication as a Battery Anode

Fly ash, a byproduct of coal combustion, is rich in silica, alumina, and other minerals, making it a valuable resource for extracting high-purity silicon. The synthesis of silicon nanoparticles from coal fly ash involves several critical steps, including the extraction of silica (SiO2) via the sol-gel method, reduction of silica to silicon using the metallothermic

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Integrating Temporal and Feedforward Models for Solar Energy Prediction: LSTM and ANN Hybrid Approaches

The increasing reliance on renewable energy, particularly solar power, necessitates accurate models for predicting energy output to optimize storage and distribution systems. Traditional methods such as Long Short-Term Memory (LSTM) networks and Artificial Neural Networks (ANNs) offer unique strengths in forecasting photovoltaic (PV) system outputs. LSTM excels in capturing temporal dependencies in time-series data, while

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Contribution of Skill-Based Approach on Reading Achievement of EFL Students

People can acquire valuable information for their lives if they have reading skills. Each individual has his own unique goal in reading. Therefore, some considerations need to be made to improve the skills especially regarding the approaches that can be used. One of the approach that can be applied in teaching reading is skill-based approach.

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Summary of Audit Judgment from Auditor Experience, Task Complexity, Professional Skepticism, and Goal Orientation

The goal of this study was to gather empirical evidence about the effects of auditor experience, task complexity, professional scepticism, and goal orientation on audit judgement. This study’s population and sample included 35 respondents, all of whom worked as auditors for the South Sumatra Inspectorate. Questionnaires on a Likert scale of 1 to 5 were

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Customer Segmentation Using the K-means Clustering Algorithm and Recency Frequency Monetary Model at Pharmaceutical Product Wholesaler

PT Kimia Farma Trading and Distribution (KFTD) is a company engaged in the distribution and trading services of Indonesian health products, on a national scale. In 2022, the company aims to increase sales to be awarded as one of the top 3 national pharmaceutical product distributors by 2024. Their current strategy is to provide customers

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