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Current dynamics of world energy supply have driven various innovations by the industry as well as research communities. Fossil fuels, although experiencing a declining interest due to sustainability issues, remain undeniably crucial since they are nearly irreplaceable in some sectors including electricity generation, it is necessary to continuously establish efforts to improve efficiency of those kinds of fuel. In this work, the authors evaluate the potential of locally sourced essential oils, namely citronella, as a fuel additive in a vision of raising the fuel economy of gasoline RON 90. Citronella oil was selected based on a positive hypothesis deduced from its chemical properties, as mentioned in multiple published works. Tests were made on a generator-set powered by gasoline engine using the mixture of RON 90 and citronella oil of various concentrations as the fuels. In addition, a commercial synthetic additive was also tested alongside the essential oil to provide a comparative figure. Meanwhile other investigators suggest a favorable effect of essential oils, our results show that citronella oil additions lead to higher fuel consumption at the same power level. A similar negative effect was also demonstrated by the synthetic additive. The only sector showing positive results is in terms of exhaust temperature where experiments with citronella additives create lower exhaust temperature as compared to pure gasoline and synthetic additives. However, rooms for innovation remain open by exploring other variables such as higher additive concentrations or combining different kinds of essential oils.

Various Digital Agricultural Technologies (DAT) have been developed and implemented around the world. This study aims to estimate the overall adoption rate and identify the determinant factors for a better adoption perspective after decades of innovation and dissemination. A systematic review was conducted on published studies that reported adoption rates and determinant factors using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol. We used meta-regression and the partial correlation coefficient to estimate the effect size and establish the correlation between socioeconomic characteristics and the adoption of various technologies reported. Fifty-two studies with 32400 participants met the selection criteria and were included in the study. The results revealed an overall pooled adoption rate of 39 %, with the highest adoption rates in developing countries in Africa and South America. Socioeconomic factors such as age, education, gender, and income were found to be the main determinants and should be considered when designing technology for sustainable adoption. The study also found that young farmers were more susceptible to adoption. Moreover, farmers with higher income levels and educational attainment are more likely to use technology linked to agricultural production, market access, and digital advising, implying that high-income farmers with more education are more tech-savvy. However, this does not exclude low-income and low-educated farmers from adopting the technologies, as many models and strategies with socioeconomic considerations were developed. It is one of the reasons behind the underlying enthusiasm for digital agricultural adoption in low and middle-income countries.

Killer of Gods, also known as KOG, has participated in events such as Rockin Solo and Jakarta. The performance style of KOG has successfully created an energetic atmosphere on stage, and captivated the audience with the use of dynamic lighting to enhance the musical experience. This research aimed to explore the performance format of the band Killer of Gods, serving as a reference for musicians and other researchers. The study employed a qualitative method with a phenomenological approach. Data collection was conducted through observation, interviews, and documentation. Data validity was ensured through triangulation. The data analysis process involved data collection, data reduction, data presentation, and drawing conclusions. The performance format of Killer of Gods consists of two aspects, namely composition and presentation. The composition aspect includes rhythm, melody, harmony, instruments, lyrics, arrangement, formation, and performance elements. Meanwhile, the presentation aspect includes stage design, sound system, lighting, makeup, performance timing, and music presentation. In addition, Killer of Gods exclusively performs their own compositions during their music performances.

Type 2 diabetes mellitus (T2DM) is a global problem with increasing prevalence. The current treatments have made an immense progress with some side effects, such as drug resistance, acute kidney toxicity, and increased risk of heart attack. Banana (Musa spp.) peel comprises 40% of banana fruit contains high phenolic compounds whilst some studies have suggested a correlation between phenolic compounds and antidiabetic activity. One of the novel protein targets that has been identified as a potential anti-diabetic treatment is PTP1B (PDB ID:2NT7). Therefore, this study aimed to screen the potential PTP1B inhibitor for antidiabetic treatment from phenolic compounds in banana peel. QSAR, molecular docking, ADME-Tox, and molecular dynamics analysis were deployed to examine forty-three phenolic compounds in banana peel. Eighteen ligands were screened by QSAR analysis and eight of them had a lower binding energy than the standard (ertiprotafib) in molecular docking, with urolithin A and chrysin were the lowest. Both passed Lipinski’s rule of five, had a good intestinal absorption, and no blood-brain barrier penetration, however, their mutagenicity, carcinogenicity, and irritation to the skin and eyes were still in questions. Molecular dynamics analysis found both of them were in a stable conformation with PTP1B. This study suggested a potential of urolithin A and chrysin as PTP1B inhibitor for antidiabetic treatment. Additionally, further experimentation is required to validate this finding.

The research objective is to develop and produce electronic teaching material products using applications Flip PDF Corporate Edition in learning Theme 6(Heat and Its Transfer) Sub-theme 1(Temperature and Heat) in learning 3 class V (Five) SDN 12 Kampung Durian, Padang City. Research development also aims to see the validity and feasibility of the electronic teaching materials that have been developed. Development of electronic teaching materials using applications Flip PDF Corporate Editions tudied using the ADDIE model which consists of five stages namely Analysis, Design, Development, Implementation, Evaluation. Research on the development of electronic teaching materials begins with analyzing class needs, designing or designing electronic teaching materials, then carrying out the development of electronic teaching materials, then conducting validation by experts, revising electronic teaching materials. After carrying out revisions from experts, implementation of electronic teaching materials with predetermined subjects was carried out. The average of the validation values by the material, language, and teaching material validators shows that electronic teaching materials can be used in the learning process with an overall score of 94.17% validation percentage with 95% material validation results, 90% language validation results and material validation results teaching 97.5%. In the implementation and practicality stages, the response from the teacher and students was very good for the electronic teaching materials that had been used. The result of the teacher's response is 97.14%. And students 96.4%. From the research results it can be concluded that electronic teaching materials use applications Flip PDF Corporate Edition has been valid, very interesting, and appropriate for students to use in the learning process

Sterculia foetida derived biodiesel is a potential fuel for a diesel engine. The Sterculia foetida biodiesel required a pre-refining process called degumming and an acid pretreatment process before converting them to methyl ester using the transesterification process. This study blended fuel from Sterculia foetida biodiesel and diesel with different volume ratios (5% to 30% of biodiesel blend with 95% to 70% diesel fuel). Sterculia foetida biodiesel and blended fuels met the ASTM D6751 and EN 14214 standards. The blended fuel is examined to obtain its influences on the performance and emission when operating at a diesel engine (1300 rpm to 2400 rpm). From the outcome, the engine performance of the SFB5 blend shows better performance than diesel fuel in terms of BTE (28.84%) and BSFC (5.86%). Artificial neural networks and extreme learning machines were employed to predict engine performance and exhaust emissions. The developed models gave excellent results, where the coefficient of determination is more than 99% and 98% for BSFC and BTE, respectively. When the engine is operated with SFB5, there is a significant reduction in CO, HC, and smoke opacity emissions by 8.26%, 2.08%, and 3.08%, respectively, and at the same time, an increase in CO2 by 3.53% and NOXby 22.39%. The comparison is made with diesel fuel. The extreme learning machine modelling is powerful for predicting engine performance and exhaust emission compared to artificial neural networks in terms of prediction accuracy. Sterculia foetida biodiesel–diesel blends of 5% show its capability to replace diesel fuel by providing engine peak performance than diesel fuel.

A substantial amount of rice grains is lost along the value chain, contributing to food insecurity among farming households in Benin. While food losses are inevitable along the value chain, it is imperative to determine the minimum acceptable loss for rice. This study aims to quantify the food losses of rice and determine its effect on food security using the Food Consumption Score (FCS) and Linear model. The results show a positive effect of a low loss rate on the FCS. In addition, a low loss rate increases the probability of FCS by 82.4 for the overall rice farmers and 83.7 for the efficient rice producers. Thus, reducing the loss rate throughout the food chain to a maximum of 10% would increase the amount of local rice on the market and allow producers to achieve food security. The study recommends sensitizing stakeholders along the rice value chain on strategies or technologies to reduce losses.

The Wan Abdul Rachman (WAR) Forest Park (TAHURA) Utilization Block is a location that can be utilized by the community, especially its non-timber forest products. Utilization of non-timber forest products is the type of Multi-Purpose Trees Species (MPTS). On the other hand, many trees were damaged due to this utilization. This study aimed to obtain the damage index (IK) of MPTS types in the TAHURA WAR utilization block. Data was collected by assessing the IK of trees based on the Forest Health Monitoring (FHM) method on five cluster plots of FHM. Data analysis was carried out using the IK value formula. The results showed that there were 13 types of MPTS found in the TAHURA WAR utilization block; with the range of IK values for each kind of MPTS as follows: Durio zibenthinus (0.0-6.1), Persea americana (1.4-6.5), Parkia speciosa (0.0-5.8), Archidendron pauciflorum (1.5-6.1), Gnetum gnemon (0.0-6.1), Hevea brasiliensis (1.4-6.1), Theobroma cacao (1.4-5.0), Mangifera indica (1.6-4.3), Sygyzium malaccensis (1.6-4.6), Arthocarpus heterophyllus (1.6-5.8), Sygyzium aqueum (1.4-4.3), Sygyzium aromaticum (1.5-3.8) and Tectona grandis (1.6-4.9). The location influences the size of the IK value, type and severity of tree damage found. Thus, the average IK values for each kind of MPTS in the TAHURA WAR utilization block were Hevea brasiliensis (4.3), Artocarpus heterophyllus (4.2), Archidendron pauciflorum (4.1), Theobroma cacao (4.0), Tectona grandis (3.8), Persea americana (3.5), Parkia speciosa (3.5), Durio zibenthinus (3.4), Sygyzium malaccensis (3.4), Gnetum gnemon (3.2), Sygyzium aqueum (2.9), Mangifera indica (2.7) dan Sygyzium aromaticum (2.4).

The main objective of this article is to highlight the importance of training in digital tools at the university level to foster the development of innovative and efficient data analysis from a scientific perspective. In an increasingly digitised world, the acquisition of digital skills has become a fundamental requirement for success in various disciplines, especially in conducting academic studies and research. The implementation of Computer-Aided Qualitative Data Analysis (CAQDAS) software, such as the ATLAS.ti platform, for text analysis not only enriches the educational experience but also prepares students to excel in an ever-evolving digital environment and raise the quality of their research. We present here a practical example of textual analysis in ATLAS.ti that can serve as a reference guide for similar studies based on content analysis of interviews. Various qualitative and quantitative data analysis options and techniques are explored that allow researchers to identify patterns, trends and relationships in the texts analysed, which contributes to a deeper understanding of the topics under study by transcending traditional methods of text analysis.

Learning media is an essential aspect in explaining or visualizing fundamentals of physics that are difficult to understand. Learning media with simulations is increasingly beneficial when Indonesia is affected by the COVID-19 pandemic, which requires distance learning or online education to be implemented. The community service of the Physics Department of Andalas University aimed to introduce PhET simulations as a virtual laboratory to improve understanding of Physics fundamentals for students at SMAN 3 Painan, Kab. Pesisir Selatan, West Sumatra in 2021. Preparation of community service begins with preparing a practicum module from a simulation of the topic of Physics. The assessment of increasing students' understanding of simulation is carried out in Hooke's law module. The number of participating students was grouped into control students (10 people) and students with Hooke's law PhET simulation training (10 people) by giving pre-test and post-test treatments. The t-test analysis shows that the control group and the PhET simulation produced the same output (p = 0.05) at pre-test. It means that the abilities of both groups were the same during the pre-test. In contrast to the post-test case, the PhET simulation group produced higher output than the control group. It means that students' ability in Hooke's law simulation PhET training experienced a significant increase in understanding (p < 0.05). This community service activity can help improve students' understanding to learn the physics fundamentals in SMAN 3 Painan.

The purpose of this paper is to determine and investigate the online purchase intention among Filipino non-Muslim consumers towards Halal food. The fact could be explained by the increased number of consumers who were ready to purchase Halal products. Aside from Muslims, who expends Halal products due to devout obligations, it is understood that non-Muslims have also started eating halal food. Utilizing multiple regression analysis, four models were tested and perceived risk, trust and confidence, website design quality, and online shopping enjoyment have been explored in this study to investigate the influence of Halal food towards online purchase intention among non-Muslim consumers using quantitative research method. Perceived Risk has been identified to be the most significant in predicting factors in an online purchase intention of Halal food. Furthermore, future studies are suggested to include additional variables such as consumers’ habits and knowledge of halal food