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Wound temperature is one of the wound biomarkers representing the wound healing progress. The diabetic wound is associated with a prolonged inflammation phase marked by an increasing wound temperature and erythematous wound. Purple sweet potato extract (PSP), an anthocyanin-rich plant, improved wound healing in both diabetic and non-diabetic wounds in animal studies. This study aims to know the effect of purple sweet potato ethanol extract on wound temperature and erythema in streptozotocin-induced diabetic rats.

The role of mesoporous solid acid aluminosilicate in the oleic acid deoxygenation was elucidated using ZSM-5 and Al-MCM-41 impregnated with Ni. The mesoporous supports were synthesized using a similar initial Si/Al ratio but employing different templates to vary the mesopores. ZSM-5_T produced interparticle mesopores when using TPAOH (tetrapropylammonium hydroxide) as a template. Meanwhile, ZSM-5_S with a well-defined intraparticle mesoporous channel was formed using a silicalite template. Al-MCM-41 synthesized without a template produced one-dimensional highly ordered mesoporous channels. The arrangement of mesoporosity in aluminosilicate determined the mechanistic pathway of oleic acid conversion into hydrocarbon. Oleic acid underwent primary thermal cracking into carboxylic acid before progressing into the subsequent decarbonylation reaction. The diesel hydrocarbon yield was enhanced following the order of Al-MCM-41>ZSM-5_S>ZSM-5_T>blank reaction. Large intraparticle mesoporosity produced long-chain carboxylic acid from catalytic cracking of oleic acid, which was subsequently deoxygenated into long-chain hydrocarbons.

Introduction: Higher education typically gives nurses a more profound knowledge of healthcare practices and recent developments and enhances nurses' analytical and problem-solving abilities, enabling them to provide more effective care. Aim: Knowing education significantly affects the performance of implementing nurses in hospitals. Methods: The research design is qualitative analytical descriptive research with a cross-sectional approach. The population is all nurses working in the internal care room, and as many as 50 responses using the sampling technique are total sampling. Results: Showing the chi-square test with the level of meaning (α) = 0.05, obtained p value = 0.003, education significantly influences the implementing nurse's performance. Conclusion: Education significantly influences the performance of implementing nurses, and continuing education can be an effective strategy for improving the standard of health care in hospitals. Nurses with higher education tend to have better clinical knowledge and skills, enabling them to provide higher-quality care.

Recent research has reported on the extraction and synthesis of silica gels from a waste glass of chemicals. This study aims to optimize silica gel synthesized from chemical glass waste as heavy metal adsorbent Cu2+. Silica gel adsorbent has been successfully synthesized by reacting silica from chemical glass waste and sodium hydroxide (NaOH) by a fusion reaction and sol–gel process. Synthesized silica gel has an amorphous diffractogram at 2θ 20–30°, a purity of 75.63 %, a surface area of 297.08 m2/g, and a pore radius of 15.74 nm. The adsorption formulation was optimized using Design Box–Behnken and optimum conditions were obtained at adsorbent doses close to 3.5 g, initial concentration 50–100 ppm, contact time 10 min, and pH 9. Adsorption Isotherm Langmuir, Freundlich, Temkin, and Dubinin–Raduskevich were investigated to determine the mechanism of adsorption. Adsorption data show that the adsorption is well-fitted to the Langmuir isotherm model. The results of SEM–EDX characterization showed that the surface morphology of silica gel showed a spherical and irregular surface then after adsorption cu metal was distributed on the surface of the silica gel. Based on all the results of the study it can be indicated that silica gel synthesized from chemical glass bottle waste can be applied as adsorbent Cu2+.

Investigations on kidungan, a form of traditional Javanese poetry, have been gaining momentum. However, there is a lack of comprehensive reports exploring the value of Javanese cultural wisdom in relation to social dimensions, symbolic politics, and educational values as reflected in kidungan. This study aims to address this gap by delving into the social dimension, symbolic politics, and educational value embedded in traditional Javanese poetry, specifically in kidungan ludruk. The research data for this study is sourced from ludruk performances broadcasted by Radi Republik Indonesia (RRI) East Java and expert interviews. The data collected were then analyzed using qualitative descriptive techniques, employing an ethnolinguistic research approach. The findings of this study revealed that ludruk kidungan serves as a social representation of traditional society, encompassing various aspects of social dimensions, symbolic politics, and educational values. An important implication of this study is that kidungan has the potential to contribute to the development of sustainable knowledge, particularly in the fields of culture, politics, and education.

Autonomous electric vehicles (EVs) need to recognize the surrounding environment through mapping. The mapping provides directions for driving in new locations and uncharted areas. However, few studies have discussed the mapping of unknown outdoor areas using light detection and ranging (LiDAR) with simultaneous localization and mapping (SLAM). LiDAR can reduce the limitations of GPS, which cannot track the current location, and it covers a limited area. Hence, this study used the Hector SLAM algorithm, which maps based on the data generated by LiDAR sensors. This study was conducted at the Universitas Sriwijaya using two routes: the Palembang and Inderalaya campuses. A comparison is made with the map on Google Maps to determine the accuracy of the algorithm. The route of the Palembang campus was divided into four points: A-B-C-D; route AB exhibits the highest accuracy of 85.7%. In contrast, the route of the Inderalaya campus was established by adding routes with buildings closer to the road. A marker point was allocated on the route: A-B-C-D-E; route CE exhibits the highest accuracy of 83.6%. Overall, this study shows that the Hector SLAM algorithm and LiDAR can be used to map the unknown environment of autonomous EVs.

The conflict between Ukraine and Russia has significant implications for Ukraine's strategic management, presenting challenges across military, economic, and political dimensions. This article provides a comprehensive analysis of Ukraine's strategic management approach using the SWOT (Strengths, Weaknesses, Opportunities, and Threats) framework. Ukraine's strengths include a strong national identity, support from Western allies, and a capable military, which have helped maintain its sovereignty despite Russian aggression. However, weaknesses such as economic challenges, internal political divisions, and dependence on Western support hinder its independence and strategic position. Opportunities for Ukraine lie in building stronger alliances with Western countries, overcoming economic challenges, and implementing diplomatic initiatives. These efforts can provide financial and military assistance, address economic issues, and achieve goals through negotiation. Threats to Ukraine include Russian military power, economic coercion, and political interference, which limit Ukraine's ability to achieve its objectives and make it vulnerable to regional pressures. This paper examines Ukraine's strategic position in the conflict, considering geopolitical dynamics, military capabilities, and historical context, highlighting the strategic management approach through the SWOT framework.

In this study, the anionic and cationic gels were synthesized separately using copolymerization between N-isopropylacrylamide (NIPAM) and acrylic acid or chitosan through a polymerization reaction using N,N'-methylenebisacrylamide (MBAA) as a cross-linker with various monomer concentrations and synthesis temperature. The anionic and cationic gels were blended to minimize inter-intra particle association and to improve the adsorption ability. The FTIR analysis found that the synthesis of the NIPAM-co-acrylic acid and NIPAM-co-chitosan gels was successfully carried out, indicating no presence of a vinyl group in the functional group. The result showed that the ion adsorption amount of Pb2+ ions blending gels increased significantly, almost twice compared to the adsorption before blending. The adsorption amount of Pb2+ ions increased with increasing the gel synthesis temperature. The adsorption amount follows the order of Pb2+ > Fe2+ > Ni2+. The adsorption amount of Pb2+ tends to decrease with increasing sedimentation volume. The higher the synthesis temperature, the larger the porous diameter formed. These results demonstrate that blending gel of NIPAM-co-chitosan and NIPAM-co-acrylic acid is a feasible alternative for removing heavy metal ions owing to its good adsorption performance.

This research aims to analyze the relationship between digital transformation and school performance and the relationship between digital innovation and school performance. The research method is quantitative through surveys, research data was obtained by distributing online questionnaires to 489 high school teachers throughout Indonesia who were selected using a simple random method. Data analysis used covariance-based structural equation modelling (CB-SEM) with SmartPLS 4.0 software to analyze research data. The independent variables are digital transformation and digital innovation, and the dependent variable is school performance. The stages of data analysis are validity testing, reliability testing, model fit testing and significance testing of hypothesis testing. The results of this research are that digital transformation has a positive and significant relationship with performance. Moreover, digital innovation has a positive and significant relationship to performance. The findings of this research support and prove the results of previous research that digital transformation has a positive effect on organizational performance and innovation and confirms the direct influence of innovation on organizational performance. The contribution of this research is aimed at various literature related to the role of digital transformation and innovation on organizational performance. Meanwhile, for practical implications, digital transformation and innovation can improve organizational performance, especially in schools.

Coconut shell waste pollutes the environment and affects public health. Converting coconut shell waste to pyrolytic oil (liquid smoke) with antimicrobial properties using microwave-assisted pyrolysis and activated charcoal as an absorbent is a promising solution. The purpose of this study is to investigate the process factors involved in the manufacture of coconut shell pyrolytic oil (liquid smoke) using microwave-assisted pyrolysis, to identify the chemical components in coconut shell pyrolytic oil, and to optimize the process factors using a face-centered central composite design (FCCD). This study further used coconut shells of various sizes (1–3 mm) and employed microwave-assisted pyrolysis with different power levels (300–600 W) and pyrolysis times (5–30 min). The results revealed that the pyrolytic oil (liquid smoke) yield increased as the time and microwave power increased but decreased as the size of the materials decreased. The optimum yield obtained was 34.6% at the following conditions: power of 593.6 W, material size of 2.9 mm, and heating time of 28.5 min. The analysis of the components of the volatile compounds in the pyrolytic oil (liquid smoke) product obtained from gas chromatography-mass spectrometry (GC–MS) analysis identified a total of 14 chemical components in coconut shell pyrolytic oil (liquid smoke) at 300 W, 15 compounds at 450 W, and only 5 components at 600 W. Among these compounds, phenol, dimethoxy phenol, guaiacol, hydroxyanisole, and methoxyphenol were found to have the highest concentrations. The outcomes of this study offer valuable contributions to the development of pyrolytic oil (liquid smoke) products with enhanced quality, flavor, and potential applications in the food industry

Since the antibacterial properties of silver nanoparticles are well established, the synthesis method for AgNPs, which provides excellent antibacterial activity, is highly promising. The study investigated the inexpensive, fast, and environmentally friendly synthesis of silver nanoparticles (AgNPs) using green tea leaf extract as a bio-mediated electrochemical synthesis. The green tea extract solution acts as an electrolyte in the system, ensuring that the electrolyte occurs and facilitating the formation of AgNP. The AgNP formation was indicated by a single peak at 421 nm. FTIR spectra revealed that green tea extract plays a dual role as a reducing and stabilizing agent. The method produces polycrystalline nanoparticles with sizes ranging from 8 to 26 nm, a mostly spherical shape, and a high purity (96.25 % in mass). Antibacterial assay of AgNP against E. coli and S. aureus showed the highest activity compared to Ag+ ions, green tea extract, and synthesized AgNP using NaBH4. The results provide a new method for producing AgNPs with excellent antibacterial activity.

Industrial activities generate a significant problem in the form of dye waste, which contributes to environmental pollution, particularly water pollution. Improper disposal of untreated dye waste can lead to detrimental effects on ecosystems, the environment, and living organisms. To mitigate these issues, various methods such as biological treatment, chemical oxidation, flocculation-coagulation, and adsorption are employed to remove or reduce dye and other pollutants from wastewater. Among these methods, adsorption has proven to be a cost-effective and straightforward approach for the removal of pollutants, particularly dye waste, from water. While activated carbon is commonly used as an adsorbent in the industry, it has drawbacks such as high cost and difficulty in regeneration, especially in the form of powdered activated carbon. Remazol Brilliant Blue R (RBBR) is a specific dye extensively utilized in the textile industry. It belongs to the category of reactive dyes that are challenging to degrade and pose toxicity risks to aquatic ecosystems. The use of bio-adsorbents in dye removal offers advantages such as low cost, easy availability and production, as well as the ability to be regenerated. When utilizing activated carbon derived from bio-materials, RBBR removal rates of 88.51% have been achieved. The agricultural waste powder as an adsorbent yields a removal rate of 90.82%, while non-conventional bio-adsorbents exhibit a removal rate of 90.50%. This review aims to compile information on bio-adsorbents and their effectiveness in adsorbing RBBR, shedding light on their potential for addressing dye waste pollution.

Quantitative Structure-Activity Relationship (QSAR) is a powerful tool for investigating the correlation between the chemical and biological properties of molecules. It employs mathematical and statistical modeling techniques that focus on molecular descriptors, which represent various characteristics of the molecules. However, the extensive use of descriptors in QSAR modeling introduces complexities in data analysis and computation. To address these challenges, data preprocessing techniques, such as data reduction and feature selection, are critical for directing the inputs of statistical models. Feature selection plays a crucial role in improving the accuracy and efficiency of machine learning algorithms by identifying relevant features that significantly influence the target response. In this study, a comprehensive comparison of preprocessing methods in QSAR modeling is carried out. The methods under investigation include filtering through Recursive Feature Elimination (RFE) and wrapping methods such as Forward Selection (FS), Backward Elimination (BE), and Stepwise Selection (SS). To evaluate the effectiveness of these preprocessing methods, both linear regression and nonlinear regression models were utilized. The research findings reveal the usefulness of feature selection methods in reducing the number of descriptors required for the accurate assessment of anti-cathepsin activity. Remarkably, the FS, BE, and SS methods, particularly when coupled with nonlinear regression models, exhibit promising performance relating to R-squared scores. This research emphasizes the significance of data preprocessing, particularly feature selection, in QSAR modeling. The comparative analysis of different preprocessing methods provides a valuable understanding of their effectiveness in reducing descriptor complexity and improving model performance. These findings contribute to the improvement of QSAR modeling techniques, supporting accurate predictions of anti-cathepsin activity and enabling the exploration of structure-activity relationships in drug discovery and design.

Communication in nursing is called therapeutic communication which is a way of fostering a therapeutic relationship between nurses and patients that has the aim of helping in the patient's healing process. This study aims to determine therapeutic communication skills for nursing students in clinical practice. The type and design used in this study is a type of quantitative research. Fisher's Exact Test results obtained p value (0.000) < α value (0.05). It can be concluded that there is a relationship of knowledge with therapeutic communication skills in the clinical practice of nursing students. Therapeutic knowledge and communication skills are essential in the clinical practice of student nursing. Therapeutic communication knowledge and skills are key elements in a student's nursing clinical practice. This is at the core of effective and empathetic patient care

The utilization of blockchain technology in the fishing industry has been extensively studied and implemented to address issues such as illegal fishing and carbon emissions control. However, integrating blockchain with the vast amounts of data in the fishing supply chain poses significant challenges. Challenges include managing extensive data such as photos or videos for product traceability throughout their lifecycle, compounded by the growing complexity of cross-border trade and market expansion. Additionally, blockchain's storage capacity limitations present hurdles in fully accommodating and comprehensively storing detailed supply data from a complex and expanding supply chain.While solutions like the Interplanetary File System (IPFS) have been explored for large data storage on the blockchain, this paper proposes a directly integrated blockchain solution tailored for the challenges of fishing with big data. We introduce a novel big data design that preserves blockchain's anonymity and immutability features, addressing storage limitations while maintaining the architecture's purpose. Furthermore, our proposal integrates product supply chain traceability with carbon footprint tracking, enabling comprehensive assessment based on quality, sustainability, and carbon footprint criteria.Despite the proposed solution needing to be tested in real-life situations, we conducted rigorous testing through simulation, white-box evaluation, and complexity analysis. The results demonstrate the potential of our solution to address challenges faced in fisheries supply chains, providing valuable insights for future practical implementation and validation efforts.

The technical challenge in constructing the electron source (ES) lies in the joining of metal and ceramic tubes. Furthermore, there is a lack of available technical comparison data for the output performance between the diode and triode ES under the same experimental conditions. The research aim is to describe a simple technique for constructing the diode and triode ES for an electron beam machine (EBM) of 300 keV/20 mA, and to investigate their output characteristics. The method used is to make a flange for mounting the Tungsten filament, Pierce electrodes, and heat shield. Two or three electrodes of the NEC (National Electric Corporation) accelerator tube are removed before the flange is united into the NEC tube, becoming the ES. The ES‘s are investigated in terms of their electron beam profiles and beam current output for the variation of the extraction electrode voltage as well as the focusing electrode voltage. The experimental results show that for the triode ES, the focusing electrode voltage greatly affects the shape of the electron beam profile up to 3 kV. However, for the diode ES, the shape of the electron beam profile is slightly affected by the extraction electrode voltage. The beam current output increases rapidly with the increase of the extraction electrode voltage up to 2.5 kV. Above this voltage, the beam current slowly increases, and it tends to reach saturation. The diode ES provides a higher electron beam current output than the triode ES output, but the triode ES provides a better shape of the electron beam profile. The constructed ES can provide the electron beam current of 40 mA at the filament current of 18 A.

The Indonesian Competition Commission (ICC) in 2022 has compiled a study on Alleged Control of Business Use Rights in the Palm Oil Plantation Sub-Sector that Can Result in Monopolistic Practices or Unfair Business Competition with the conclusion that the results of the analysis conducted on secondary data regarding companies engaged in the palm oil and cooking oil agribusiness system, the conclusion is obtained that leads to the alleged potential violation of Article 17 of Law Number 5 of 1999 concerning Prohibition of Monopolistic Practices and Unfair Business Competition. The palm oil agribusiness system is closely related to the palm-based cooking oil industry system. However, the two systems each have a structural pattern that has a very high level of complexity. The Palm Oil industry has a market structure of oligopoly in the downstream, and oligopsony in the upstream. This condition allows the dominant company to become a price maker at all stages of the palm oil industry supply chain. Oligopoly and oligopsony conditions can cause deadweight loss for smallholder oil palm farmers (pressure on FFB prices), consumers (palm oil prices), and even the government

Identification of acetic acid-ethanol mixtures using a commercial gas sensor array equipped with ensemble regression has been carried out. The gas sensor analysis was simple, rapid, and fast since it did not require any sample preparation. A quantitative analysis of the acetic acid-ethanol mixture was carried out to determine the sensitivity and selectivity of the sensor in distinguishing the concentration of the acetic acid and ethanol mixture. This study focuses on the coefficient of determination of 80% of the calibration data set and recovery of 20% of the testing data set. The models showed excellent performance,specifically, the Bagging and Random Forest r2 for the ethanol calibration data reached 0.91 and 0.94, respectively. The corresponding ethanol test recoveries were 99.95% and 97.84%, indicating the robustness of the model in accurately predicting ethanol concentration. Acetic acid test recoveries were 100.56% and 101.38% with r2 of 0.89 and 0.93 for Bagging and Random Forest regression, respectively. Hence, the commercial gas sensor array equipped with ensemble regression can be applied to the quantification of the acetic acid – ethanol mixture and demonstrate opportunities for the practical use of this gas sensor array in analyzing real samples, i.e. human breath or environmental monitoring samples.

In this study, the adsorption of Remazol Blue and Indigosol Yellow using Bidara Arab leaves (Ziziphus spina-christi) as adsorbents was investigated through batch adsorption. The experimental parameters included contact time, adsorbent mass, initial concentrations, and pH. UV-Vis spectrophotometer was employed to measure the adsorption results at the maximum wavelength of each dye. The research was conducted in triplicate, and a t-test, "Paired Two Sample for Means", with a standard deviation

Nanocrystalline cellulose (NCs) was successfully isolated from pepper biowaste using lactic acid hydrolysis and employed as filler in seaweed biocomposite. Optimization of hydrolysis parameters by employing response surface methodology (RSM) generates 75.50 % NCs with 76.68 % crystallinity at 6.31 M lactic acid, 3.02 h and 85.86 °C. The ANOVA analysis indicates hydrolysis efficiency requires precise temperature control and lactic acid concentration to obtain high crystalline cellulose at high production yield. The NCs displayed rod-shaped morphology with 29.65 ± 3 nm diameter and 335.19 ± 10 nm length, with a negative zeta potential and higher thermal stability than the cellulose. NCs addition as filler in seaweed biofilm improved the tensile strength but reduced the elongation at break. The biofilm exhibits excellent properties in reducing water adsorption, solubility, and water permeability by increasing nanocellulose filler.

So far, the study of magical realism in literature has been limited to the relationship of literature to the chronology of text creation. There have been no studies linking the imagination of magical realism and the reader effect, especially the content of educational values. Therefore, the purpose of this study is to investigate the values of education in the literature of magical realism. This research uses semiotic methods, content analysis, and hermeneutics. The primary data source is Danarto Asmaraloka’s novel. The results showed that Asmaraloka is a literature that creates a complex world. It represents reality and fantasy that rejects simple and exclusive binary and postmodernist views. The magical realism in Asmaraloka encompasses certain cultural traditions and universal aspects. At the same time, Asmaraloka provides educational values about freedom. An important im-plication of this research is that literature can be a medium of expression that simultaneously guides readers about freedom.

NERSkill.Id is a manually annotated named entity recognition (NER) dataset focused on skill entities in the Indonesian language. The dataset comprises 418.868 tokens, each accompanied by corresponding tags following the BIO scheme. Notably, 15,51% of these tokens represent named entities, falling into three distinct categories: hard skill, soft skill, and technology. To construct this dataset, data were gathered from a job portal and subsequently processed using open-source libraries. Given the scarcity of annotated corpora for Indonesian, NERSkill.Id fills a significant void and offers immense value to multiple stakeholders. NLP researchers can harness the dataset's richness to advance skill entity recognition technology in the Indonesian language. Companies and recruiters can benefit by employing NERSkill.Id to enhance talent acquisition and job matching processes through accurate skill identification. Furthermore, educational institutions can leverage the dataset to adapt their courses and training programs to meet the evolving needs of the job market. This dataset can be effectively utilized for training and evaluating named entity recognition systems, empowering advancements in skill entity recognition for the Indonesian language.

This study analyzes the Unibridge system, a modular steel box girder employing two pins for longitudinal connections, thereby expediting construction compared to traditional girders. A finite element model was developed to analyze the stress on these pins in a single-box girder with five segments and a reinforced concrete floor slab. Various loads were applied following the Indonesian bridge loading standard, SNI 1725:2016. The model considers operational load analysis and assumes full composite behaviour between the top flanges of the girder and the concrete floor slab. The results indicate that the Von-Mises stress on the pins reaches a maximum of 490.95 MPa under combined service loads, consistently remaining below the specified material yield stress limit of 1200 MPa. Consequently, the Demand Capacity Ratio (DCR) is 0.41. As a result, the Unibridge girder connection pins do not experience plastic deformation under the applied loads.

Budidaya kambing dan domba secara tradisional diterapkan turun menurun pada peternak kambing dan domba dalam wadah koperasi “Rukun Raharjo Sentosa” di dusun Tanjungsari, Desa Gunungsari, Kecamatan Beji, Kabupaten Pasuruan. Tim pengabdian masyarakat ITS melakukan focus group discussion dengan pengurus koperasi budidaya kambing dan domba terkait permasalahan yang dihadapi yaitu ketersediaan pakan ternak terbatas akibat musim kemarau panjang dan limbah kotoran kambing dan domba yang tidak dikelola dengan baik. Tujuan dan target dari kegiatan pengabdian ini adalah memperdayakan peternak kambing dan domba untuk mendapatkan hasil pakan berkualitas serta kotoran yang termanfaatkan dengan baik. Dengan perencanaan dan perwujudan teknologi tepat guna yang sesuai dengan permasalahan tersebut, tim pengabdian masyarakat beserta mahasiswa KKN melakukan sosialisasi dan pendampingan hingga peternak mampu mandiri mengelola pakan ternak dan limbah kotoran dengan baik, sehingga terwujud kampung cerdas sosial. Hasil dari pengabdian masyarakat ini adalah pakan ternak premium blok dan pupuk organik cair yang telah diaplikasikan pada lahan persawahan dan perkebunan di sekitar koperasi Rukun Raharjo Sentosa.

Background: Providing quality nursing services cannot be separated from human resources, which produce good performance and achievements so that they can provide excellent service. Purpose: Knowing the commitment and job satisfaction to nurses' job performance. Methods: Analytical descriptive research design with a cross-sectional approach. Sampling is total sampling. Univariate, and bivariate, uji chi square. Results: The distribution of respondents based on work commitment factors showed that almost all implementing nurses had good commitments, 90.9%. The job satisfaction factor shows that the implementing nurse with good job satisfaction is 59 1%. The chi-square test shows nurses' commitment with a p-value = 0.04 and nurse satisfaction p-value = 1.000, with a value of ? = 0.05. Conclusion: It can be concluded that a da relationship between commitment and the work performance of the implementing nurse, and there is no relationship between job satisfaction and the work performance of the implementing nurse. The hospital's recommendation is to maintain existing commitments by keeping nurses engaged by provoking nurses to participate in making decisions so that nurses feel like a whole part of the hospital.

This study investigates the impact of introducing autonomous learning-based assessments on student independence in the learning process. The SmartPLS approach was used to measure the link between these variables, with a focus on aspects such as exam administration, simple lesson design, and policy flexibility. The analytical results demonstrate that implementing autonomous learning-based evaluations has a favorable influence on student independence. Implementing more extensive tests, easy lesson plans, and policy flexibility in the Merdeka Berdeka curriculum all contribute to student freedom. The implication is that students are more active in directing their own learning, making decisions, and planning improvements. This generates a learning atmosphere that encourages self-reflection, ongoing learning, and the development of self-evaluation abilities, all of which are vital for student growth.

Knowledge directly affects a person; attitudes arise due to the presence of knowledge from the individual. Tuberculosis is an infectious disease that causes death. Tuberculosis is transmitted through the air and is influenced by risk factors that play a role in transmission, such as people's attitudes, knowledge, and behaviour. This study aims to determine the influence of knowledge and community attitudes in preventing tuberculosis. The research design uses a descriptive survey with an observational approach. Accidental sampling method with a total of 52 respondents. Research instruments using questionnaires and observation sheets. Data analysis with multivariate linear regression test. The results of the statistical knowledge test with a p-value: of 0.811, an attitude of 0.599 and a multivariate logistic regression test showed that among the variables of understanding and attitude, the knowledge variable was more significantly related to efforts to prevent tuberculosis, as evidenced by the sig value. P value: 0.997 and Exp (B) 2.256. It can be concluded that the attitude and towards tuberculosis prevention efforts, but knowledge has partial value to Tubercollusis prevention efforts. Suggestions need to be made to educate them massively and continuously about tuberculosis, which are main causes, ways of transmission, and prevention.

Dolomite as the catalyst for pyrolysis of waste cooking oil (WCO) was investigated to produce hydrocarbon fuels. Optimization of pyrolysis parameters i.e. time, temperature and catalysts loading, achieved high selectivity of WCO to diesel hydrocarbon, compared to thermal pyrolysis that produced mainly carboxylic acids. Dolomite catalysed deoxygenation of fatty acid in WCO into hydrocarbon, consequently accelerating the pyrolysis time to 75 min. Bio-oil at 68.06% yield with 57.27% selectivity towards diesel and gasoline hydrocarbons was obtained at 450 °C while using 6% of dolomite. Dolomite exhibited partial phase separation into dolomite/CaCO3 mixtures within 15 min of pyrolysis, initiated by the generated CO2 during pyrolisis of WCO. The catalyst is stable for up to three reaction cycles suggesting the activity was achieved from the synergy between the dolomite/CaCO3 phases.

Introduction: Nutritional status is a significant thing that parents must know, especially those with toddlers because it is a golden age related to growth and development in the future. Objective: Knowing the relationship analysts of malnutrition status in toddlers. Method: The research design uses a descriptive-analytical approach using the Cross-Sectional study approach. Results: the chi-square test shows a diet of p:0.000 values and knowledge of p:0.01 values. Conclusion: The mother's diet and learning affect the nutritional status of toddlers. For mothers to increase understanding by continuously participating in counselling about health, especially the nutritional status of toddlers, and health workers, further improve counselling for families, health counselling, and health services

This study aimed to analyze the community's disaster response awareness during the Covid-19 pandemic during the implementation of The Large-Scale Social Restrictions (LSSR) in Gresik. Self-awareness was observed using Peter L. Berger and Thomas Luck man's Social Construction Theory through a dialectical process of internalization, objectification, and externalization. The results showed that there had been no good awareness in efforts to prevent the spread of Covid-19 in Gresik. Socially, the community had not taken the dangers of Covid-19 seriously. There was also an inconsistency between knowledge and reality related to disaster response. In coping with the dialectical process, the community had not implemented a disaster-aware culture by obeying the existing regulations. At least, the sociocultural environment determined a person's construction for self-identification, interaction, and adjustment to the social changes that occurred. Hence, the sociocultural construction of the community had never made the disease outbreak a serious problem and considered it as well as God's reminder even though infected cases continued to increase. A situation was indeed difficult for the Task Force to succeed in the Large-Scale Social Restrictions (LSSR) to Community Activities Restrictions Enforcement (CARE) suppressed the increase of Covid-19 positive cases in Gresik, Indonesia. This research sees that the government's policies in handling Covid- 19 are not enough, it needs more optimal involvement of community and religious leaders, to provide education on the importance of maintaining health protocols and building self-awareness of the dangers of Covid.

Learning Programmable Logic Controller (PLC) programming is influenced by several factors, that is: lecturer competence in PLC programming, adequacy of information technology infrastructure in learning, availability of learning media, vocational guidance procedures, and learning motivation. The purpose of this study: (a) to describe the factors that contribute to PLC programming learning, (b) to formulate a PLC programming competency model, and (c) to examine the determinants of PLC programming learning. Model testing method using Path Analysis. The results of this analysis are expected to be able to describe the relational patterns between variables in learning PLC programming, as well as the direct and indirect impacts on the mastery of PLC programming competencies. Keywords: PLC programming competency, path analysis, vocational education.

AbstractPeace education has long been integrated into the higher education curriculum to equip students from diverse cultural backgrounds, languages, religions, regions, and lifestyles with the knowledge, skills, and values necessary to foster a culture of harmony and prevent future conflicts. This systematic research examines the peace education concept and practice in action from various universities in the world garnered from research articles published within the last 5 years between 2017 and 2021. This study uses international database in the form of articles in Scopus journals using such keywords in the Scopus database (scopus.com). The keywords we used were “peace education and higher education”, “peace education and university”, “peacebuilding and higher education”, and “peacebuilding and university”. Articles from many databases are selected using Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) approach. From the results of the review of 10 articles, this study explores four emerging themes on peace education concept and practice which include 1) universities collaborating to develop peace programs; 2) peace education teaching; 3) peace education curriculum; and 4) peace education hidden curriculum. The analysis result shows that peace education needs to be prioritized to create a safe, harmonious, and peaceful atmosphere among students and all academic society members. This article is helpful for universities, particularly to help develop peace values in education.

This study presents a direct multicomponent analysis method using UV-Vis spectrophotometry to determine Cu(II), Fe(III), and Ni(II) ion content without prior complexation or separation. Single and multivariate regression was used to predict metal ion content, and the resulting model was trained and validated using a dataset of 25 multi-component samples. The mean recoveries for Cu(II), Fe(III), and Ni(II) using linear and ridge regression based only on absorbance at 805 nm were 99.97% and 101.6%, 95.42% and 95.65%, and 99.43% and 99.99%, respectively, for the 20% test data. The mean recoveries for Cu(II), Fe(III), and Ni(II) using linear and ridge regression based only on absorbance at 805 nm were 92.27% and 95.03%, 125.3% and 124.11%, and 104.15% and 105.52%, respectively, for the test solution outside of the training data. These results demonstrate the effectiveness of the multivariate UV-Vis spectrophotometric method for the simultaneous determination of Cu(II) and Ni(II) in multicomponent samples, which meets the analysis standard and can be successfully applied. Finally, the study sheds light on the influence of spectral interference on the accuracy of regression models. It highlights the importance of carefully selecting the wavelengths used as predictors in such models. This can have significant implications for developing and validating analytical methods, particularly in cases where multiple analytes were present in a sample.

One of the environmentally friendly concrete as an alternative to cement concrete in the future is geopolymer concrete which used a cement substitute in the form of fly ash. To prevent premature cracking of the concrete, this study added fiber types such as polypropylene fiber, and steel fiber (dramix), this experiment with 3 variables namely the addition of polypropylene fiber by 0%, 0.40%, 0.80%, 1.2%, steel fiber of 0.25%, 0.50%, 0.75%, 1.00%, as well as a combination of polypropylene fiber and steel fiber (0.4%P;0.50%D), (0.8%P;0.75%D), (1.2%P;1.00%D) of the weight of the concrete. In this study, using a beam specimen measuring 10x10x50 cm, for each percentage of fiber usage there are 2 beam trials. Geopolymer concrete in this study uses a ratio of NaOH and Na2SiO3 is 2:1 and a constant concentration of 10 Molar, to test the Flexural Strength Test of Concrete at the age of 28 days of concrete. The results of the highest average flexural strength of geopolymer concrete without fiber σl = 78.77 kg/cm2, using polypropylene 0.80% σl =50.50 kg/cm2, and 0.25% steel fiber σl =68.87 kg/cm2, the combination of both fibers (P0.4%; D0.25%) σl =65.34 kg/cm2. These results do not produce good workability, thus affecting the decrease in flexural strength. By increasing the ratio A = 0.35 to 0.45, the geopolymer concrete mix produces better workability with the highest average flexural strength of geopolymer concrete with polypropylene fiber 0.8% σl = 80.107 kg/cm2.

This research is an effort to investigate the understanding of prospective student teachers in the PGSD Study Program at "AS" Universities in Yogyakarta. The focus of the research is the understanding of nationalism and the implementation of literature as a medium of nationalism. This study used quantitative methods. Research data was conducted by conducting surveys and interviews. The survey was conducted using Google Forms media. Interviews were conducted with 30 students. The results showed that students at "U.S." colleges do not all understand national identity. Of the 30 respondents, there was 1 student who did not understand the identity of the nation. However, overall they have read many books on national identity. Students also agreed that the spirit of nationalism is an important factor that every citizen must have. In addition, students agree that the values of nationalism can be taught through literature. As a form of agreement about it, they have also implemented the practice of making poems with the theme of national identity as a representation of the spirit of nationalism. The novelty of this research is that there has been no previous research that investigates the understanding of nationalism for students, especially in the field of literature in the PGSD Study Program.

The purpose of this study was to investigate how public sector workers in Indonesia use e-learning systems and how they can benefit from them. The researchers analyzed five variables that contribute to the effectiveness of e-learning: system reliability, information sharing, service quality, user satisfaction, and net benefit. Structural Equation Model analysis was used to analyze the data collected from 203 respondents who were public sector employees in Indonesia. The findings of this study revealed that information sharing, and service quality significantly impact user satisfaction, which in turn has a significant effect on net benefits. Additionally, system reliability was found to significantly impact user satisfaction. This theoretical implication suggests that there is a direct relationship between the level of information sharing and service quality provided by a public sector organization and the level of user satisfaction experienced by its usage of e-learning. The practical implication of the finding is that public sector organizations must prioritize the reliability of their e-learning systems. This includes investing in regular maintenance and updates, ensuring proper testing and quality control procedures, and addressing any issues or downtime quickly and effectively.

The production of coconut and durian means that it will produce a lot of waste from its shell. Indonesia is a country that produces a lot of them. The coconut shell (CS) and durian fruit peel (DFP) can be converted to briquette as new fuel from biomass. The objective of this research is to obtain the calorific briquette properties of CS and DFP using Differential Scanning Calorimetry (DSC). The material composition consist of 10 % and 15 % of starch for each CS and DFP. Thermal treatment was carried out in the temperature range of 28 °C to 600 °C at 5.4 °C/min. The addition of starch causes the heating temperature since it has thermoplastic properties. Additionally, it is difficult to burn and carries a lot of water so that the heat generated is used to evaporate the water first of all in the briquettes. The recommended material is CS with 10 % mass of starch. The optimum temperature reached was 578.97 °C with an enthalpy value of 0.42 J/g.

Mengetahui pengaruh edukasi media kartun terhadap peningkatan pengetahuan ibu dan status gizi anak. Desain penelitian yang digunakan adalah quasy experiment dengan rancangan pre-test dan post-test. Populasi berjumlah 32 anak rentang usia 1-5 tahun yang berkunjung ke Puskemas Barombong Kota Makassar. Teknik pengambilan sampel yang digunakan consecutive sampling dengan kreteria inklusi Ibu yang memiliki anak umur 1-5 tahun dan ibu bersedia mengikuti seluruh rangkaian penelitan. Variabel dalam penelitian ini adalah dependent pengetahuan ibu dan variabel independent edukasi media kartun dengan perlakuan pretest dan postest. Instrument pada penelitian menggunakan media kartun, lembar kuesioner, pemeriksaan dan wawancara. Analisis yang digunakan adalah Uji T-test dependen menggunakan Uji Wilcoxon. Hasil menunjukan skor pengetahuan sebelum diberikan edukasi 14,69, skor setelah diberikan edukasi didapatkan 17,94. Uji statistic nilai 0,000>0,05, Maka dapat disimpulkan bahwa ada perbedaan antara pengetahuan untuk PreTest dan Post Test, sehingga dapat disimpulkan pula bahwa terdapat pengaruh edukasi dengan menggunakan media kartun terhadap pengetahuan ibu tentang gizi anak. Bahwa terdapat pengaruh edukasi dengan menggunakan media kartun terhadap pengetahuan ibu tentang gizi. Disaranakan orang tua yang memiliki balita didorong untuk bekerjasama dengan profesional kesehatan untuk memberikan sosialisasi, pendidikan dan konseling gizi anak untuk memperdalam pengetahuan tentang status gizi balita.

Albumin is a water-soluble protein that has attracted attention due to its characteristics, including biocompatibility, biodegradability, non-immunogenicity, long half-life, minimal toxicity, good stability, and good reactivity. These good characteristics make albumin can be applied in various fields. Albumin can be used in medical and pharmacy as drug delivery and infusion therapy. In addition, albumin is an agent to accelerate wound healing and antioxidant therapy. Albumin is also applied as a supporting material, a corrosion inhibitor, and a biosensor for analytical measurement purposes. The applications of albumin are reviewed in this article. This paper is also designed to summarize the albumin sources. Albumin is found in human serum, animals (i.e., cow, chicken, salmon, etc.), and plants (i.e., peanuts, sunflower, passion fruit, etc.) sources. Each region has its unique source of albumin to be explored. Various studies have reported albumin preparation and separation methods, including chromatography, solvent extraction, electrophoresis, and adsorption methods. The determination of albumin using spectroscopy and electrochemical methods is also described in this article. In addition, the challenges and prospects of albumin are also discussed.

SDGs establish an evidence-based structure for sustainable development planning and implementation. A micro-hydro power plant (MHPP) is a compact hydroelectric using a non-variable system and enginedriven control for active power generation. Bibliometric research related to Micro-hydro Power Plants to achieve SDG7 needs to be studied more. This study conducted a bibliometric analysis of Micro-hydro Power Plants to investigate their contribution to achieving SDG7. This study aims to (1) analyze the distribution of Micro-hydro Power Plants research to achieving SDG7, (2) analyze countries’ contribution to Micro-hydro Power Plants research, (3) network analysis of Micro-hydro Power Plants research and contribution to achieving SDG7. This bibliometric analysis using VOS viewer and R-Studio Biblioshiny with Scopus database (2014-2024). Research on Micro-hydropower plants increased rapidly in 2018, with Indonesia being the most published document. Micro-hydropower plants contribute to sustainable development goal 7 by providing adequate, sustainable energy. It is environmentally friendly and fulfills energy demands in small communities.

Net zero emissions are an important step that must be strived to achieve the 13th SDGs goal. This research aims to explore progress in achieving net zero emissions. The systematic review method (PRISMA) is integrated with a bibliometric analysis model with Scopus data sources. The analysis results show that four steps such as decarbonization, renewable energy transition, transportation electrification, and reforestation have proven effective in achieving net zero emissions by 2050. These findings highlight the big challenges in achieving net zero emissions through these four steps, especially in the technology sector. It is recommended that further research be more exploratory in studying technology in achieving net zero emissions, especially in exploring the potential for vehicle electrification and technology in the use of renewable energy sources. The implications of this research can provide support in efforts to achieve environmental balance and can be used as a basis for thinking for further research.

Indonesia’s higher education sector significantly contributes to achieving the Sustainable Development Goals (SDGs), particularly in the context of quality education. The research aims to (1) analyse the challenges of Indonesian higher education in achieving SDGs 2030 based on data and facts, (2) analyse Indonesian higher education’s challenges in achieving SDGs 2030 by making a plan or design, (3) analyse the impact of implementing the design in Indonesian higher education achieving SDGs 2030. Literature reviews using AI tools such as Chat GPT and Perplexity AI are rarely used, especially in discovering remedies to enhance the quality of education in higher education institutions in Indonesia. There has yet to be further research comparing AI tools and the Scopus database to find literature on specific SDG topics. Research shows several challenges in Indonesian higher education in achieving SDGs 2030, with the most discussed being access and equity, quality of education, universities programs, and infrastructure.

In 2019 the National Standardization Agency (BSN) issued the latest Indonesian National Standard (SNI), namely SNI 1726:2019 concerning Procedures for Planning Earthquake Resistance for Building Structures and No Buildings. SNI 1726:2019 is a revision of SNI 1726:2012. The purpose of this study was to determine the percentage of displacement ratio in tall buildings between using SNI for Planning Procedures for Earthquake Resistance for Building Structures and Building Structures SNI 1726:2012 and SNI 1726:2019. The method used in this research is data analysis using numerical methods. Data analysis by analyzing steel building structures and modeling steel building designs using SAP2000. The results of the analysis show that the comparison of drift between floors in buildings using SNI 2012 and SNI 2019 is not very significant and is still within the allowable deviation limits.

Quality education is one of the aspects targeted for development by the SDGs points. Virtual game education is one of the tools used to achieve the goals emphasized by the SDGs. This research aims to identify trends and contributions of virtual game education (VGE) in education. This research uses bibliometric analysis techniques sourced from the Scopus database. The software used to visualize existing data is VosViewer. Over the past five years, research on VGE has been steady, peaking in 2022 with the most significant number of documents. VGE research increased from 2019 to 2022 but decreased in 2023. VGE research has been published as conference papers with Springer as publisher. Canada and the US are countries that have made significant contributions to this research. Ten dominant subjects impact education by developing digital learning media technology. The research uses a combined approach (quantitativequalitative) in the data analysis. These things are closely related to SDG point 4 (quality of education). Research on similar topics can be further developed using data other than Scopus, such as WOS and Citespace, as tools for more interesting visualization compared to VOSviewer.

The country with the most variety of indigenous knowledge and local wisdom country in the world is Indonesia. Many academics today work to integrate aspects of the local culture into junior or senior high school curricula. The research examines a bibliometric analysis of local wisdom in physics education. The Scopus Database is being used for this bibliometric analysis. According to the findings, Indonesia dominated physics local wisdom research from 2013 to 2022. Even though there have not been many publications, most of the research has been published in conference proceedings. In addition, the Journal of Physics Conference Series is the journal that publishes the most publications related to physics local wisdom, followed by the AIP Conference Proceeding. Researchers need to explore deeply Physics Local Wisdom topics. Research and development need to be carried out in-depth related to the growing trend of physics local wisdom in the Scopus database.

Logistic sectors are moving forward day by day, year by year. Their evolution brings big changes in the economic growth of countries. It drives the significant improvement in human life includes human life style, human’s needs, and human capacity. Their services has to be in agile and effective ways to reach the customer’s satisfaction. This research observes the capacity building of human resource in logistic sector in supporting the performance development of logistic companies in Indonesia especially about English capacity. The researchers use qualitative research in logistics sectors by observing, interviewing, and disseminating questionnaire to the owner, director, manager, supervisor of logistic company. Based on the research’s result, English capacity had by operational and administration staffs of a logistic company influence the business because a staff that has good English skills will run the communication as well to the customers directly and indirectly. It is because the customers of a logistic company are international customer and foreign company which have representative office in Indonesia. Explicitly, the results show that a maritime academy should prepare the human resource or in this context is a logistic sectors’ staff candidate must understand about the use of English before working in logistic sectors to support the moving forward of the company.

This research aims to assess the effect of temperature gradient developed within the concrete slab of rigid pavement, and to investigate its impact when incorporated with the traffic load, and the heat transfer pattern. The rigid pavement model considers an isotropic, uniform, and linear-elastic schemes to simulate the material properties. A numerical analysis approach was employed using Abaqus software incorporated with the 3D Solid model. The traffic loads were obtained from the field surveys, while the temperature of the slabs was measured directly on the site. The dimension of the rigid panel is 2.75 m in width, 5 m long, slab thickness of 25 cm, and concrete specification of 41.33 MPa. The results showed that the temperature gradient produced a significant impact on stress development within the concrete slab of rigid pavement. It was observed that the temperature gradient during the daytime generated higher stress than at night, with a value reaching the MOR (Modulus of Rupture). The exposure of the rigid pavement to 500C tends to produce a principle slab stress of 2.395 MPa, while 1.31 MPa was developed due to the traffic load. When the two factors were combined, the concrete slab acquired a maximum principle stress of 3.322 MPa, which is close to the MOR of 83.34% fa. These results showed that the pavement is capable of withstanding stress from temperature gradient and traffic load as indicated by the ratio of less than one (1). However, this ratio is high for fatigue failure mitigation purposes, and this reduces the quality of life of the rigid pavement.

In the digital era and the era of the industrial revolution 4.0, the quality of human resources needs to be improved in order to have competencies that are in accordance with the needs of the organization. Therefore, an effective and efficient method is needed to improve employee competence by using e-learning technology. This study analyzes the Diffusion of Innovation Theory through the Unified Theory of Acceptance and Use of Technology (UTAUT) model. The study uses quantitative data obtained by surveying 400 SME employees in Indonesia using an e-learning system. Dissemination of data is by using online questionnaires through social media. Data analysis uses structural equation modeling (SEM) modeling. The results of data analysis show that the theory of diffusion of innovations mediated by intrinsic and extrinsic motivation in the UTAUT model had a significant effect. The aspects that make up the theory of diffusion of innovation significantly and directly affect the intention of SMEs employees to use the e-learning system. The findings show that the diffusion of innovation theory has various indicators for the application of learning systems and further e-learning development so that they can have a real and significant impact on improving organizational performance and competitiveness.

Titanium Silicate-1 (TS-1) has been successfully modified by combining Silver (Ag) metals. In this study, the preparation of Ag/TS-1 was carried out by impregnation method using a solution of silver nitrate (AgNO3) as a precursor to TS-1 with a loading variation of 0.5%, 1%, 2%, and 4%. Impregnation carried out on TS-1 aims to disperse Ag (1) only attached to the surface of TS-1 particles (before calcination/TK) and (2) on the entire surface of TS-1 particles (after calcination/K). The synthesized catalyst was then characterized by X-ray diffraction, infrared spectroscopy, and pyridine adsorption techniques. The XRD pattern shows that all the catalysts have high crystallinity with MFI structure, and there is no other crystalline phase. The infrared spectra showed that the titanium tetrahedral in TS-1 remained after Ag impregnation. The TS-1 and Ag/TS-1 catalysts were analyzed for their surface acidity using pyridine adsorption on the sample. The pyridine adsorption technique showed the presence of Lewis sites on Ag/TS-1. In this study, the presence of Ag loading on the Ag/TS-1 catalyst affected the TS-1 catalytic activity. The amount of cyclohexanone oxime product produced in XAg/TS-1 was more than in Ag/TS-1.