bluuebunny/crossref_metadata_2025 huggingface dataset:
Physical properties and stability of grapeseed oil (Vitis vinifera L.) skincare formula with gelling agent combination of Na-CMC-carbopol and HPMC-carbopol
Authors: Abdul Karim Zulkarnain  , Chairunnisa Nurul Ichsani  , Candriya Lael Judiantoro
Published: January 2024

Skincare products made from natural ingredients have become the choice of many people. Grapeseed oil contains ingredients that act as a moisturizer. Na-CMC-carbopol and HPMC-carbopol are gelling agents that are widely used in preparations due to their compatibility with various materials. All three are combined to cover their respective deficiencies. This study aimed to evaluate the effect of the combination of Na-CMC-carbopol and HPMC-carbopol on the physical properties and stability of grapeseed oil gel and to determine the optimum formula. The research method was carried out by optimizing the levels of Na-CMC (2-2.5%), HPMC (2-20%), and carbopol (0.5-1%) with the Simplex Lattice Design method. Eight runs of the resulting formula were gelled and tested for their physical properties to determine the optimum formula. The optimum formula obtained was verified with statistical analysis and tested for physical stability. The stability data were analyzed statistically, 95% confidence level. The optimum formula for NaCMC-carbopol was at a concentration of 2.220% Na-CMC and 0.780% carbopol, pH 6.246 ± 0.057, spreadability 12.96 ± 0.48 cm2, adhesion 6.33 ± 0.48 sec, viscosity 166.00 ± 4.88 dPas. HPMC-carbopol at both concentrations of 1% had a pH of 4.973 ± 0.172, a viscosity of 175.20 ± 5.44 dPas, a spreadability of 18.12 ± 1.61 cm2, and an adhesion of 6.94 ± 1.68 sec. All preparations were not significantly different between predictions and experiments. The optimum gel formula had good physical properties and was stable during 3 cycles of cycling stability test.
The role of angiotensin I - converting enzyme (ACE) insertion/deletion gene polymorphism in hypertension and ACE inhibitor therapy: a narrative review
Authors: Handani Dewa Ayu Sri , Zullies Ikawati  , Hermawan Adam
Published: January 2024

Primary hypertension is the most prevalent type of hypertension, which is primarily attributed to genetic factors. The angiotensin-converting enzyme (ACE) gene has emerged as a prominent candidate among the genetic factors influencing blood pressure regulation. The ACE gene encodes the ACE, which plays a crucial role in the renin-angiotensin system. The ACE gene insertion/deletion (I/D) polymorphism is a variation of the ACE gene that affects blood pressure regulation. Individuals with II, ID, and DD genotypes may exhibit distinct ACE plasma concentrations, potentially contributing to variations in blood pressure levels and response to ACE inhibitor therapy. This article aimed to provide a comprehensive overview of the relationship between the ACE I/D gene with hypertension and angiotensin-converting enzym inhibitor (ACEI) effectiveness. This article presents a narrative review encompassing relevant studies published between 2013 and 2023. A systematic search was conducted using reputable databases such as PubMed, Science Direct, and Scopus. Inclusion criteria were applied, resulting in the selection of 25 articles that met the predefined criteria. The analysis included 25 studies, comprising 5 articles that investigated the impact of ACEI therapy and 20 articles that examined the ACE I/D gene polymorphism in hypertensive populations without ACEI therapy. It can be concluded that compared to the I allele, the D allele of the ACE I/D gene is associated with a higher level of essential hypertension and a reduced ACEI response.
Karagenin sebagai Model Inflamasi pada Kulit Punggung Mencit: Gambaran Makroskopik dan Histopatologis
Authors: Widyarini Sitarina , . Sugiyono , Kristianingrum Yuli Purwandari , Sutrisno Bambang
Published: January 2024

This study aims to create a model of dorsal skin inflammation in mice using carrageenan with various concentrations. Forty-five female Swiss mice with the aged of 8 weeks were used in this study. These mice were divided into three groups of 15. Group I, II and III was given subcutaneous injection of 1%, 2% and 4% carrageenan respectively on the dorsum. Carrageenan was dissolved in 0.9% buffer saline with 0.1 mL volume injection. Prior to carrageenan injection, dorsal skin-fold thickness was measured using calipers and then was repeated every hour up to 6 hours. At the end of the sixth hour of measuring skin-fold thickness, animal was sacrificed, the dorsal skin was excised and then was fixed in 10% buffer formalin for histopathological examination. Data from skin-fold thickness measurement was analyzed using Two Ways Anova followed by Tukey HSD test. Results of this study demonstrate that there was a significant difference in skin-fold thickness between treatment groups (p<0.05). Sub cutaneous injection of 1%, 2% and 4% carrageenan resulted in increasing skin-fold thickness approximately 35%, 50% and 61% at the one-hour post carrageenan injection respectively (p<0.05). Skin-fold thickness gradually decreased at the second to the sixth hour after carrageenan injection. Histopathological examination shows mild and moderate dermal inflammation in the group given 1% and 2% carrageenan respectively. Severe dermal and panniculus inflammation was found in the group given 4% carrageenan. To conclude, carrageenan could be used to induce inflammation in back skin of mice.
Introduction: Volatility in finance, art, and culture
Authors: Lee Benjamin , Rosamond Emily
Published: January 2024

The term ‘volatility’ applies to changeability: both that which can be measured, such as temperatures and stock prices, and that which cannot be easily measured, such as affects and emotions. Quantitative financial volatility has typically been studied quite separately from art, culture, and everyday life. Randy Martin's work, which addressed the resonances between volatility in dance and finance, was a notable exception. Martin focused on derivatives, which played a critical role in the development of financialized capitalism, especially between 1973-2008. Arguably, however, derivatives are no longer the key drivers of volatility as a social and cultural logic. New assemblages of asset managers, rentiers, and online platforms - along with a pandemic, new banking crises, and ongoing climate emergency - are reshaping how volatility is produced and navigated. How might we rethink volatility in order to better grasp its changing logics? This introduction unpacks existing debates on volatility in finance, art, and culture, suggesting several directions in which new work in this area might depart from existing frameworks - some of which are pursued in this special issue. We focus on three broad lines of exploration: rethinking the intellectual histories of volatility; rethinking volatility across disparate post-2008 contexts; and imagining volatile futures through art practice.
Figuring volatility
Authors: Abbas Ackbar
Published: January 2024

This article argues that there are parallels between developments in modern science and in art and culture, including the culture of finance, and that these developments can be tracked by a notion of volatility not just as change, but as how change itself has changed. Describing this paradigm shift requires a language that is precise but indeterminate, a language akin to metaphor, understood as figures of volatility. Three such figures are anamorphosis, anachronism, and catachresis. These figures are major instantiations of volatility, though they do not exhaust all the possibilities. What they indicate is not just that our frames of understanding have shifted, but that we are dealing with problematic, multiple, and overlapping frames: anamorphosis problematizes our experience of space, anachronism of time, and catachresis of language. These figures are not all in play at the same time. In literature, catachresis may be the dominant figure; in dance, anamorphosis; in ‘slow cinema’, anachronism. The aim is less to arrive at a set of defining characteristics than to follow a series of transformations across different cultural fields. Almost every field in our time is volatile each in its own way, and this has consequences for methodology. If figures are tools to think with, not to regulate thought, a necessary method would be to allow these figures to emerge from the material, not from a checklist. The question of volatility is arguably the key intellectual challenge of our time because it allows us to see deviation from a norm not just as an aberration, but as an indication that established norms are losing their normative value.
A full circuit-based quantum algorithm for excited-states in quantum chemistry
Authors: Wen Jingwei , Wang Zhengan , Chen Chitong , Xiao Junxiang , Li Hang , Qian Ling , Huang Zhiguo , Fan Heng , Wei Shijie , Long Guilu
Published: January 2024

Utilizing quantum computer to investigate quantum chemistry is an important research field nowadays. In addition to the ground-state problems that have been widely studied, the determination of excited-states plays a crucial role in the prediction and modeling of chemical reactions and other physical processes. Here, we propose a non-variational full circuit-based quantum algorithm for obtaining the excited-state spectrum of a quantum chemistry Hamiltonian. Compared with previous classical-quantum hybrid variational algorithms, our method eliminates the classical optimization process, reduces the resource cost caused by the interaction between different systems, and achieves faster convergence rate and stronger robustness against noise without barren plateau. The parameter updating for determining the next energy-level is naturally dependent on the energy measurement outputs of the previous energy-level and can be realized by only modifying the state preparation process of ancillary system, introducing little additional resource overhead. Numerical simulations of the algorithm with hydrogen, LiH, H2O and NH3 molecules are presented. Furthermore, we offer an experimental demonstration of the algorithm on a superconducting quantum computing platform, and the results show a good agreement with theoretical expectations. The algorithm can be widely applied to various Hamiltonian spectrum determination problems on the fault-tolerant quantum computers.
Panambi-nº16-COMPLETO
Authors: Venegas Romero Pablo
Published: January 2024

Archivo de la versión completa del número 16 de nuestra publicación.
A Comparative Study of Machine Learning Algorithms for the Prediction of Drug-Abuse - A Classification Approach
Authors: Siddiqui Ali
Published: January 2024

This research was conducted as part of ENGIN-298 at Contra Costa College
by Ali Ahmad Siddiqui with the assistance of Dr. Chao Liu from Fall 2022
to Fall 2023. Drug-use is a societal crisis that is in-need of desperate
mitigation and alleviation. In this paper, we claim that machine
learning algorithms are highly effective in assessing the likelihood for
an individual to engage in the use of certain drugs. In particular, we
show how machine learning algorithms can be trained using real-world
data collected from users who consume a variety of different drugs in
order to give insight into the drug-use for unknown individuals.
Exploring Bias Assessment and Strong Calibration in AI-based Medical Risk Prediction Models
Authors: Gaonkar Nidhi
Published: January 2024

Rapid advancements in machine learning and artificial intelligence have
raised important concerns regarding fairness and biases in algorithmic
decision-making. This paper evaluates the biases present in major
machine learning models–Random Forest, K-nearest neighbors, XGBoost,
and Naive Bayes - by comparing their performance on different subgroups
of health data, including across genders and racial groups. We also
analyze the models for strong calibration: if the average predicted
probability corresponds to the actual observed rate for all subgroups.
Through a t-test and ANOVA test of model performance on different
subgroups, we demonstrate that the models have significantly different
True Positive Rates across racial groups, but not across gender groups.
A comparison of parity metrics and testing for strong calibration
through changepoint detection of the random forest model further showed
that there were disparities in model performance. Cross validation and
the implementation of a paired t-test showed that Brier scores differed
across k -folds, indicating inconsistencies in model calibration. When
we employed the bias mitigation strategy of reweighting, however, the
disparity was reduced. We also suggest a new method for bias mitigation
which jointly employs reweighting and adversarial training. This work
serves to caution the use of machine learning models in medical
contexts, especially for clinical outcome prediction where risk or
mortality likelihood may be significantly impacted by biases in the
model or data. It is imperative that creators and users of machine
learning models prioritize diversity and representation in both datasets
and trained models concerning sensitive attributes to ensure equity and
ethical practices in this field. We also suggest future work.
A Comprehensive Review of Different Nano – Biocomposite Materials Used in The Food Packaging Industry
Authors: R. Moore George
Published: January 2024

Nanotechnology is the ability to manipulate materials at the nanoscale, which is approximately 1300nm in size. At this scale, particles have a significantly large surface area and display unique characteristics, including electronic, optical, and catalytic properties. As a valuable tool, nanotechnology has been employed in the food industry to enhance production processes and improve food quality. It is estimated that by 2023, approximately 1400 food and agricultural companies will actively engage in research related to nanotechnology. The impact of nanotechnology on the food industry is far-reaching and encompasses various aspects such as food processing, product formulations, food safety and biosecurity. One notable advancement is in the development of intelligent, active, and smart food packaging systems. With nanotechnology, food packaging can now possess sophisticated features that help monitor freshness levels, control microbial growth, and provide other benefits that extend shelf life. This revolutionizes conventional packaging methods by promoting optimal preservation of products while maintaining high standards of safety for consumers. In conclusion, nanotechnology continues to transform the way we produce and consume food through its innovative applications in the industry. Its potential for improving efficiency and enhancing food quality makes it an essential component for future advancements in the field of agriculture and nutrition.
Effect of pH on germination and seedling growth of maize
Authors: Mandic Violeta , Krnjaja Vesna , Simic Aleksandar , Petricevic Maja , Gogic Marija , Brankov Milan , Stanojkovic Aleksandar
Published: January 2024

Soil pH is one of the most important limiting factors for crop cultivation,
including maize. About 30-40% of the world's arable land is acidic, and over
a billion ha is alkaline. Today, there are 205 million ha of arable land
under maize in the world, so it ranks third in area after rice and wheat.
Maize hybrids have wide genetic variability and high pH tolerance. We tested
the tolerance of maize hybrids seedlings of ZP 4708 and ZP 5797 to pH 5, 6,
7, and 8. Results showed that hybrid ZP 4708 has a higher adaptability to
low and high pH, due to the higher value of germination energy (GE), shoot
length (ShL), shoot fresh weight (ShFW), shoot dry weight (ShDW),
germination rate index (GRI), and seedling vigor index (SVI) than hybrid ZP
5797. Results further showed, on average for hybrids, that pH 5 and pH 8
significantly decreased the GE, root length (RL), ShL, root fresh weight
(RFW), ShFW, root dry weight (RDW), shoot fresh weight (ShDW), and SVI.
These parameters did not differ significantly between pH 6 and pH 7. Seed
germination was not affected by the pH, indicating that the seed vigor of
both hybrids supports full germination potential. However, it could be
expected that exposure to the lowest and highest pH values of the medium
could affect seedlings growth in the field conditions, even though
germination is high. SVI showed a positive and significant correlation with
all investigated parameters, except germination (G) and relative seedling
water content (RSWC).
Change characteristics of health-related quality of life and its association with post-stroke fatigue at four-year follow-up
Authors: Pedersen Synne G. , Anke Audny , Løholm Mari T. , Halvorsen Marianne B. , Kirkevold Marit , Heiberg Guri , Ørbo Marte , Friborg Oddgeir
Published: January 2024

Objective: To explore trajectories that describe change in post-stroke health-related quality of life with fatigue as outcome.
Design: Observational and prospective study.
Subjects: Stroke survivors (N = 144) with predominantly mild or moderate strokes.
Methods: The multidimensional Stroke-Specific Quality of Life scale was used at 1 and 4 years, and the Fatigue Severity Scale at 4 years post-stroke. Latent class growth analyses were used as person-oriented analyses to identify meaningful trajectories. Socio-demographic and stroke-related covariables provided customary adjustment of the outcome, as well as prediction of class membership.
Results: The latent class growth analysis models were estimated for “physical health”, “visual-language”, and “cognitive-social-mental” components of the Stroke-Specific Quality of Life scale, which extracted trajectories describing a variation in stable, deteriorating and improving functional patterns. The stable, well-functioning trajectory was most frequent across all components. More pronounced fatigue was associated with trajectories describing worse functioning, which was more prominent among females compared with males. Living alone implied more fatigue in the “cognitive-social-mental” component. Within the “visual-language” components’ trajectories, younger and older participants reported more fatigue compared with middle-aged participants.
Conclusion: Most participants belonged to the stable, well-functioning trajectories, which showed a consistently lower level of fatigue compared with the other trajectories.
Collaborative Character, Cognitive Psychology, and Process Skills: The Impact of Character-Based Mathematics Learning in High Grades of Elementary Schools
Authors: Kamid  , Ramalisa Yelli , Fajriah Noor , Kurniawan Dwi Agus , Perdana Rahmat , Rivani Putri Ayu , Widodo Rido Ilham , Ningsih Irma Widya
Published: January 2024

Learning mathematics is preparing students to be able to use a mathematical mindset in their daily lives. Learning mathematics helps children get used to doing analysis and finding the best solution to a problem. This study analyze how the effect of mathematical process skills, cognitive psychology on the collaboration abilities of fifth grade elementary school students in learning mathematics in geometry material. The research was conducted using mixed research methods and sequential explanatory research. Mixed method research relies on two types of data, namely quantitative data and qualitative data to solve a problem at hand. Fifth grade students were used as research subjects, and 18 students were selected from each school, so that the results obtained were not biased, the data collection technique used simple random sampling. This study uses two types of tests, namely the assumption test and hypothesis test, using the homogeneity test, linearity test, and normality test in the assumption test, as well as the t test and regression test in hypothesis testing. The results showed that there was a significant positive effect between the fifth grade students' mathematical process skills variables and the collaboration character.
Student Careers: What Factors Influence Career Choice?
Authors: Hadiyati Muftiah Azizi , Astuti Budi
Published: January 2024

High school age or adolescence is in the exploration stage where at this stage students should already focus on determining careers in a more specific range, but not a final choice. The success of education obtained by individuals is one of the keys to the success of the state. In education, various things are taught to become the provision of individuals in the future. This research is motivated by the low career choices of students while determining a career is very important for their future. The purpose of this research is to analyze the factors that influence students' career choices. This type of research is qualitative. The data in this study were obtained through interviews, observations, and documentation. The type of data analysis used is descriptive and qualitative analysis. Based on the data obtained from the research subjects, it shows that there are four factors that influence students' career choices, namely, intelligence and special talents (all three students are influenced), interest in careers (all three students are influenced), personality (both students are influenced), and family background and socioeconomic status (all three students are influenced). So the conclusion is that the factors that influence students' career choices are from themselves and their families.
Evaluation of Teacher Leadership in the Implementation of Independent Learning Curriculum in Secondary Education Units
Authors: Nurainiah  , Akyuni Qurrata , Saputra Nanda
Published: January 2024

Base on the reality there are still many teachers who have not changed their way of leadership, the impact is that obstacles and difficulties are often found in implementing the independent curriculum. It is urgent to evaluate teacher leadership because there is a gap between theory, expectations, and reality. The research objective describes teacher leadership in implementing the independent learning curriculum. Literacy and numeracy skills in the curriculum require changes in teacher leadership in implementation.The research method uses Mixed Methods with a convergent (concurrent) parallel design. The research subjects were junior high schools and the objects were teachers. The data collection technique was through a survey with a questionnaire which was developed and given to 70 teachers. Data was also obtained through in-depth interviews with teachers. Quantitative data analysis used SPSS version 26 and qualitative data were analyzed by collecting interview data, reducing and grouping data that intersected one another. The results showed that 54.12% of teachers already had leadership insights and 67.66% agreed to apply leadership in the independent curriculum. Reinforced through the results of interviews that the implementation of an independent curriculum is very urgent to overcome learning loss in producing graduates. Novelty, found from Leadership Insights, the concept of driving teachers provides opportunities for teachers to take part in training and share knowledge massively to accelerate overcoming learning loss in junior high schools.
Motivation, Self-Efficiency, and Academic Achievement Private Teacher Professional Education Students in Differentiated Learning Courses
Authors: Shamdas Gamar
Published: January 2024

Student prospective professional teachers are not enough to equip themselves with scientific content alone but need to balance it with academic motivation and self-efficacy which are useful for the quality of their academic achievements. The aim of this study is to analyze the relationship between academic motivation and self-efficacy with academic achievement. This research is non-experimental research, correlational design with a quantitative approach. The research was conducted with a population of all pre-service PPG totaling 23 students, and all members of the population were sampled. Academic achievement data is the accumulated grades of assignments, midterm, and final semester exams for different learning subjects after 16 meetings. Data on academic motivation and self-efficacy were obtained through a questionnaire. Data on the relationship between academic motivation and self-efficacy with academic achievement were analyzed using multiple linear regression tests. The results of the study show that there is a relationship between academic motivation and self-efficacy with academic achievement. Academic achievement can be predicted with the regression equation y = 76.287 + 0.215x1 + 0.268x2, meaning that an increase in one academic motivation score will increase the academic achievement score by 0.215 (β = 0.433, t(20) = 2.351, p = 0.029), while an increase of one self-efficacy scores will increase academic achievement scores by 0.268 (β = 0.413, t(20) = 2.243, p = 0.036).
The Needs Analysis in the Development of Level of Inquiry with Project Assignments Model to Promote the Creativity of Prospective Physics Teachers
Authors: Wahyudi  , Setiawan Agus , Suhandi Andi , Samsudin Achmad
Published: January 2024

This Inquiry and project-based learning models play an essential role in developing 21st-century skills, especially the development of creativity for prospective physics teacher students (PPTs). Developing and integrating these two models requires a needs analysis as the first step of development. Therefore, this study aims to conduct a needs analysis for developing a level inquiry model with project assignments. This research uses a descriptive study. The needs assessment study method with a convergent analysis approach is used in this study. Data sources in this study include curriculum documents in the form of Semester Lesson Plan (SLP) and practicum guidance modules for introductory physics courses. Perception data was also collected from respondents from 33 PPTs and lecturers of introductory physics courses. The data collection techniques used were documentation, questionnaires and interviews. The results of the study concluded that the curriculum for introductory physics lectures contained scientific and creative skill competencies for PPTs. However, lecturers still dominate learning, and physics practicum activities have not yet led to an appropriate inquiry learning process and project learning is rarely implemented. The creativity of PPTs has not been optimized in learning physics. Lecturers and students responded that developing the Level of Inquiry with Project Assignments Model (LoI-PA) is very important to increase the creativity of PPTs. The LoI-PA hypothetical model is presented in the discussion of this study. However, further research is still needed to develop valid learning steps and integrate information technology into the learning model steps.
Taking Up the Challenges Faced by Higher Education Institutions in Technology to Create Smart Campus
Authors: Hartati Seri , Sumarto  , Nurdin Diding , Suryana Asep
Published: January 2024

Universities face big challenges in technology to create smart campuses to increase higher education efficiency, productivity, quality and innovation. This research aims to analyze universities' efforts to utilize technology to create smart campuses. The research uses descriptive qualitative with a phenomenological approach. Data was collected through open interviews at four universities. Research subjects include top level management, middle level management, lecturers and staff. Data analysis was performed using Bogdan & Biklen which is called data reduction, the interconnection between data and verification. The research results show that universities have made various efforts to introduce digital technology to create smart campuses. This research describes the ability of universities to realize Smart Campus in 4 levels, namely adoption, implementation, integration and optimization. However, the biggest challenge is the integration and optimization of systems used for education, research and service services. Then optimization requires policies that involve goals and targets related to integration, technological sustainability and improving the learning environment, so that it will create a smart campus.
The Influence of Organizational Culture and Providing Incentives on Employee Performance
Authors: Novita Lola , Syahril  , Gistituati Nurhizrah , Sabandi Ahmad
Published: January 2024

This research is motivated by the author's observations regarding the problem of low employee performance at the Office of Education and Culture of the City which shows that organizational culture and incentives are still not in accordance with what is expected and employee performance is still not optimal. The purpose of this study was to analyze positive influence of organizational culture and the provision of incentives on employee performance at the Education and Culture Office of the City. This research is a correlational quantitative research with associative type. The population in this study was all employees at the Office of Education and Culture of the City totaling 90 employees and the sample was determined using the Cohran formula with an error rate of 10% with the Proportionate Stratified Random Sampling technique obtained 63 employees. The research instrument uses a questionnaire with a Liker scale which has 5 alternative answers. Before the questionnaire was used, trials were carried out to determine its validity and reliability. Data analysis techniques were performed using multiple linear regression tests which were processed using SPSS version 24. The results of the data analysis show that there is a significant influence between organizational culture and the provision of incentives jointly on employee performance. So the multiple linear regression equation used is 32.864+0.324X1+0.427X2+e. In the determination coefficient test, the gain is r² = 0.613 which shows that the determination of the organizational culture variable and the provision of incentives on employee performance is 61.3%.
The Effect of Academic Supervision and School Climate on Teacher Performance in Islamic Junior High School
Authors: Rohmah Siti , Hadiyanto  , Irsyad  , Sulastri  , Nurjanah
Published: January 2024

This research was motivated by observations of problems regarding the low performance of teachers in junior high schools which showed that academic supervision and school climate were still not in line with what was expected and teacher performance was still not optimal. The aim of this research is to analyze the influence of academic supervision and school climate on teacher performance in junior high schools. This research is a correlational quantitative research with an associative type. The population in this study were all teachers at Islamic College Middle Schools, totaling 98 teachers and the sample was determined using a non-probability sampling technique with a purposive sampling category, namely a sampling method by determining characteristics that were in accordance with the research objectives, obtaining 63 teachers. The research instrument uses a questionnaire with a Likert scale which has 5 alternative answers. Before the questionnaire was used, a trial was carried out to determine its validity and reliability. The data analysis technique was carried out using multiple linear regression tests which were processed using SPSS version 24. The results of data analysis showed that there was a significant influence between academic supervision and school climate on teacher performance with a value of Fcount>Ftable (6.269>3.14), so there was a significant influence between academic supervision and school climate together on teacher performance. In the coefficient of determination test, r² = 0.145 was obtained, which means that the determination of the academic supervision and school climate variables on teacher performance is 14.5%.
My Indonesia is Rich in Culture: Problem-based Articulate Storyline on Social Sciences Lesson Content
Authors: Ariadiny Farah , Bektiningsih Kurniana
Published: January 2024

Natural and social science is content of lessons that require memorization. Therefore, in delivering material, it is necessary to use tools that can increase the success of the teaching and learning process. Articulate Storyline is one of the popular e-learning software and has several advantages that make it a good choice in developing interactive learning content. Articulate storyline has an intuitive and easy-to-use interface, enabling users to create interactive learning content without having a strong programming or graphic design background. This makes it very suitable for teachers, instructors, and learning designers. The aim of this study is to develop Articulate Storyline media based on problem-based learning in fourth grade in science content. The research method used is Research and Development (R&D) based on ADDIE research. The data collection techniques used are test and non-test. Meanwhile, the data analysis technique used is qualitative and quantitative data analysis. The research results show that the Articulate Storyline media is very suitable for use with a percentage of material experts of 92% and media experts of 91%. Meanwhile, the effectiveness of using Articulate Storyline media in learning activities was stated to be quite effective based on an average increase (n-gain) in student learning outcomes of 0.61 and an increase in the average pre-test score of 58 to 84 during the post-test. From these results, it can be concluded that problem-based learning-based Articulate Storyline media is very feasible and quite effective for use in fourth grade Science learning.
Evaluation of Creative Thinking Skills in the Development of Elementary Science Learning in Elementary Schools: A Mix Method Study
Authors: Yasa Arnelia Dwi , Kumala Farida Nur , Wibawa Aji Prasetya , Hidayah Laily
Published: January 2024

Students' creative thinking abilities are still limited in science learning development lectures. Students are only able to answer questions at the concept application level (C1-C3 or lower order thinking skill). This is due to the lack of variety in learning methods, lecture material has not been linked to contextual problems. This research aim is to analyze the creative thinking abilities of elementary teacher education students in elementary science learning development courses. This study uses mixed method. Sampling was carried out using random sampling involving 233 students from 8 different campuses. The research instrument consists of a test that includes 12 questions related to indicators of creative thinking skills (fluency, flexibility, originality, and collaboration), semi-structured interviews with 10 respondents to explore the understanding behind the answers given, and documentation. Data analysis techniques are carried out through quantitative and qualitative data analysis which includes data reduction, data presentation, as well as drawing conclusions and verification. The research results show that of the four indicators of creative thinking, students are categorized as sufficient in the fluency aspect. However, the other three indicators, namely flexibility, originality, and elaboration are in the poor category. The interview results also revealed that the majority of respondents were unable to provide answers that were in accordance with the indicators of creative thinking achievement. The conclusion of this research is that three indicators of creative thinking, namely flexibility, originality and elaboration, need to be improved because they are categorized as lacking.
The Growth of Red Spinach (Amaranthus tricolor L.) After Application of Bean Sprouts Extract [Vigna radiata (L.) R. Wilczek] on Murashige and Skoog Medium In Vitro
Authors: Herlanda Kishy Dhea , Nurcahyani Endang , Mahfut Mahfut , Handayani Tundjung Tripeni
Published: January 2024

Red spinach (Amaranthus tricolor L.) is a commercially valuable vegetable known for its high nutritional content and immune-boosting properties, making it popular among the Indonesian population. However, red spinach cultivation in Indonesia is still relatively low and inconsistent, necessitating efforts to enhance its cultivation. One potential approach is through in vitro culture techniques. This study aimed to investigate the impact of applying mung bean sprout [Vigna radiata (L.) R. Wilczek] extract on Murashige and Skoog medium, focusing on identifying the most effective concentration for in vitro growth of red spinach explants. The experimental design employed a Completely Randomized Design (CRD) with five concentration levels: 0%, 5%, 10%, 15%, and 20%. Each concentration was replicated five times, with each replication consisting of five red spinach seeds in individual culture bottles. Data analysis involved Levene's test, one-way ANOVA, and Tukey's Honestly Significant Difference (HSD) test at a significance level of 5%. The findings revealed that the application of mung bean sprout extract significantly influenced the height of plantlets, leaf count, root length, fresh weight, and soluble carbohydrate content of red spinach. The most effective concentration for promoting red spinach explant growth was determined to be 5%.
Evaluation of Pavement Condition Based on the Value of Surface Distress Index and Pavement Condition Index on the Road Section of Gedong Tataan - Kedondong, Pesawaran
Authors: Hidayat Aditya Mahatidanar , Prasetyaningtiyas Gayuh Aji
Published: January 2024

Good road infrastructure conditions can stimulate the economic growth of an area. Therefore, routine road maintenance is carried out by its administrators. One of the road sections that needs improvement is the Gedong Tataan - Kedondong road section. The Gedong Tataan - Kedondong section is a provincial road with a length of 16.67 kilometers. To predict the pavement condition on the road section, an assessment method is required for identification. This method is used as one of the tools to assess pavement damage on a road section, and the methods used are the Surface Distress Index (SDI) and the Pavement Condition Index (PCI). The research results show a PCI (Pavement Condition Index) value of 73%, indicating that the road pavement condition is very good, and routine maintenance is required. Meanwhile, with the SDI (Surface Distress Index) method, a value of 65 is obtained, indicating that the road falls into the fair category, and the appropriate treatment options include patching and overlay. Another implication is to allocate the budget wisely for road maintenance. Information from these two indices helps in determining improvement priorities. Routine maintenance can be a better investment in the long term than letting road conditions deteriorate.
Pemanfaatan Steel Slag sebagai Substitusi Agregat Kasar pada Pembuatan Beton HVFA-SCC Tahan Serangan Sulfat
Authors: Handayani Nur Khotimah , Trisnawan Nugroho Aldini
Published: January 2024

Penggunaan beton dengan volume fly ash tinggi atau  High Volume Fly ash (HVFA) yang dipadukan dengan konsep  Self Compacting Concrete (SCC) telah terbukti mampu meningkatkan kekuatan beton terhadap serangan sulfat. Pengembangan dilakukan dengan menambahkan steel slag sebagai pengganti agregat kasar yang mampu meningkatkan kekuatan beton sekaligus pemanfaatan steel slag untuk mengurangi limbah hasil peleburan besi. Tujuan penelitian ini adalah untuk mengetahui pengaruh penambahan steel slag sebagai substitusi agregat kasar pada HVFA-SCC terhadap kekuatan beton yang mengalami serangan sulfat. Serangan sulfat disekenariokan dalam 4 metode perendaman, yaitu air laut, larutan sulfat 5%, larutan sulfat 5% dengan cara rendam angkat dan air aquades sebagai kontrol. Untuk mengukur kekuatan beton dilakukan pengujian kuat tekan dan modulus elastisitas dengan perencanaan awal sebesar 35 MPa, sedangkan untuk mengukur workability menggunakan pengujian slump flow dan L-box. Presentase penggunaan steel slag sebesar 20% dari total agregat kasar dan presentase penggunaan fly ash 50% dari total semen yang digunakan. Hasil pengujian menunjukkan substitusi 20% steel slag pada HVFA-SCC dapat meningkatkan kuat tekan beton  pada semua metode serangan sulfat, sehingga penggunaan steel slag pada HVFA-SCC dapat menjadi alternatif dalam pembuatan beton tahan serangan sulfat.
Reconstruction of Natural Slope Stability by Limit Equilibrium Methods and Finite Element Methods
Authors: Irwan Andesta Granitio , Wiati Irene Tresna
Published: January 2024

Slope stability analysis is particularly important for natural slopes that are relatively undesigned to be technically safe. Natural slopes are prone to collapse depending on the condition of the slope material and rainfall. A comprehensive stability analysis using numerical methods to calculate the factor of safety and probability of collapse can be used as a reference to assess the safety of a slope. This study discusses boundary equilibrium and finite element in the analysis of slope safety factor and landslide probability by reconstructing the slope with landslide history. The reconstruction of the slope is based on the actual slope condition with saturated material due to rain that has a safety factor of 0.5 using mathematical methods which are then analyzed numerically in this study. The results of the factor of safety on the saturated condition slope have a value that is not much different from the actual condition with a 100% probability of landslide. The results of low shear strength values in each slice of the limit equilibrium analysis for saturated conditions also indicate that the slope is in an unsafe condition which is supported by the development of shear and tensile strains in the finite element method analysis in the slope slide plane area which causes the stress distribution in the actual landslide area to be unstable.
Studi Awal Pemanfaatan Limbah Bangunan sebagai Alternatif Pengganti Bentonite Mentah
Authors: Putri Dialina , Rahma Vina Rosalina , Cahoyo Muhammad Fariz , Sejati Agus Wahyu , Prasetyaningtiyas Gayuh Aji
Published: January 2024

Pengeboran tanah untuk pekerjaan fondasi pada tanah berpasir menyebabkan sebagian dinding bor runtuh sehingga membutuhkan perekat butiran seperti bentonite yang dapat mengembangkan diri. Disisi lain, bentonite diperoleh melalui proses penambangan yang berdampak negatif terhadap lingkungan. Pembuangan limbah bentonite harus melalui proses netralisis zat berbahaya (Fe, 3,8% dan NaHCO3, 12%) agar tidak merusak lingkungan. Kegiatan filterisasi berpotensi mengakibatkan keterlambatan proyek dan pembengkakan biaya. Penelitian ini bertujuan untuk mendapatkan alternatif pengganti bentonite. Limbah bata merah dan plesteran memiliki potensi untuk menggantikannya jika digunakan dalam gradasi yang halus (≤0,075 mm). Gradasi halus pada kedua limbah sangat berkaitan dengan kemamapuan untuk mengembang. Limbah bangunan tersebut dihancurkan menjadi serbuk kemudian dibuat larutan dengan beberapa percobaan komposisi antara air, bata merah, plesteran, dan NaHCO3 dalam jumlah yang kecil (1%-8%). Kemudian larutan diaplikasikan pada sampel tanah kecil dari lubang bor yang mengalami keguguran di lapangan dan diuji swelling satu arah. Pengamatan secara mikroskop dengan menggunakan SEM (Scanning Electron Microscope) diperlukan untuk melihat kandungan larutan tersebut. Hasil penelitian laboratorium menunjukkan adanya peningkatan swelling seiring dengan penambahan NaHCO3 serta kemiripan kandungan larutan limbah dengan bentonite. Penelitian ini sangat bermanfaat bagi dunia industri terutama hal yang berkaitan dengan ecogreen dalam hal pengeboran baik fondasi maupun pengeboran dalam tanah lainnya.
PENGEMBANGAN MATERI AJAR TEKS CERITA PENDEK BERBASIS PENGUATAN PENDIDIKAN KARAKTER DENGAN MENGGUNAKAN MEDIA CANVA PADA SISWA KELAS XI SMK
Authors: Majid Siti Alfiati , Ansoriyah Siti , Puryanto Edi
Published: January 2024

This study aims to develop and determine the feasibility of teaching materials for short story texts based on strengthening character education using Canva media for class XI Vocational High School students and to find out teacher and students perceptions of short story text teaching materials based on strengthening character education using Canva media for class XI Vocational High School students. The research method used is the Research and Development (RD) method with the ADDIE model which consists of five stages, namely Analysis, Design, Development, Implementation, and Evaluation. Data were collected by interview, observation, needs analysis questionnaire, curriculum analysis, and analysis of teaching materials. Data analysis was carried out by quantitative and qualitative analysis. The results obtained from the development of short story text teaching materials based on strengthening character education using Canva media get an assessment with very good criteria from the results of material expert validation getting an average score of 4,33 with a percentage of 86,67%, media expert validation getting an average score of 4,62 with a percentage of 92,44%, the Indonesian teacher's assessment got an average score of 4,86 with a percentage of 97,22%, and the student response assessment got an average score of 4,53 with a percentage of 90,78%. Thus, it can be concluded that the product of short story text teaching materials based on strengthening character education using Canva media for class XI Vocational High School students is very suitable for use in teaching and learning activities. Keywords: teaching materials, short story texts, strengthening character education, Canva media
Physical Characterization of Chitosan-based Syzygium polyanthum Leaves Extract Nanoparticles
Authors: Hidayati Evi Nurul , Rahayyu Annisa Maulidia , Azzahra Fauzia
Published: January 2024

Indonesia is one of the most abundant in natural resources countries in the world. The bay leaves are well- known among the locals and have various pharmacological properties, including anti dyslipidemia. Currently, the use of nanoparticle technologies in dyslipidemia treatment is quite popular. These treatments have numerous advantages such as enhancing the potency of dyslipidemia agents. The purpose of this study is to develop chitosan-based nanoparticles made from Syzygium polyanthum leaves extract using crosslink method. Chitosan is used as the polymer and STPP as the crosslinker with the ratio of chitosan:STPP is 5:1. Two formula is generated, F1 is chitosan-based nanoparticle extract and F2 is chitosan-base nanoparticle blank. Syzygium polyanthum extract contains alkaloid, flavonoid, saponin, quinone, and tannin, as determined by secondary metabolites screening. The total flavonoid content of Syzygium polyanthum leaves extract determined as quercetin is 0.04%. Physical properties of generated nanoparticles such as size, polydispersity index (PI) and zeta potential are investigated. Particle sizes of nanoparticles F1 and F2 are 180.1 ± 0.5 nm and 464.3 ± 25.98 nm with the PI values of F1 and F2 are 0.220 ± 0.02 and 0.563 ± 0.112 respectively. Zeta potential value for F1 is 21.8 ± 1.74 mV and F2 is 17.8 ± 0.21 mV. The entrapment efficiency is evaluated to determine the extract content of the nanoparticle, and the result is 47.13%. From this research, the chitosan-based nanoparticles containing Syzygium polyanthum formula have good physical properties. Further investigation is needed to evaluate its potential as anti-dyslipidemia.
Educar para a sinodalidade
Authors: Machado Renato da Silva
Published: January 2024

O Concílio Vaticano II afirmou que a Igreja é Povo de Deus que caminha rumo ao céu, uma comunhão de pessoas humanas chamadas a expressar através do culto e da vida a comunhão trinitária de Deus, pondo-se no mundo como um sacramento, um sinal eficaz de congregação de todo o gênero humano.  Por ser comunhão, deve também expressar-se assim na sua forma de ser e organizar-se.  Como desdobramento desta reflexão conciliar fala-se hoje em sinodalidade como modo da Igreja viver sua essência.  Neste artigo apresenta-se questão da sinodalidade, com enfoque na formação dos novos presbíteros, na busca de se ter uma compreensão adequada do termo e de contribuir na superação do clericalismo que consideravelmente atrapalha a missão evangelizadora da Igreja.