Validation Data Research Articles

DIMENSIONS OF RELIGIOSITY IN ABIDAH EL KHALIEQY'S NOVELS

Literary works can depict various phenomena from various sectors, including cultural, social, political, psychological, and religious. Interestingly, in the research of literary works and religion, it is often distinguished between religion and non-religion, even though religion in literary works is universal. Therefore, this study aims to explain the dimensional aspects of religiosity in Abidah El Khalieqy's novels. The type of research is descriptive qualitative, using the religiosity theory approach by Glock and Stark. The data sources of this research are the novels Geni Jora, Mataraisa, Bait-Bait Multazam, and Santri Cengkir. Data collection uses reading and note-taking techniques, while this study uses human interest. Data validity is interrater and interrater techniques. Data analysis uses the method of comparing data, categorizing, presenting data, and making inferences. The results of this study show that religiosity in Abidah El Khalieqy's novels related to the five dimensions of Glock and Stark consists of a belief dimension, a belief practice dimension, a science dimension, an experience dimension, and an experience effect dimension. The conclusion explains that Glock and Stark's multidimensional typology of religiosity dimensions is universal in the treasures of Islamic culture. The problem presented in the novel is the problem between characters in achieving the lost dimension of religiosity, which functions as a human value and transcendence in obtaining the lost dimension in life.

The Productive Zakat in Empowering Mustahik Entrepreneurship

Productive zakat is one of the instruments in sustainable development related to Islam. Productive zakat is managed in providing businesses to mustahik, so that mustahik zakat does not receive consumable zakat but can be sustainable. So, this research has objectives, first, to explore the role of productive zakat in mustahik economic empowerment, second, to analyze the pattern or model of productive zakat in mustahik entrepreneurship empowerment. This research was conducted with a qualitative approach through a case study, namely in Probolinggo Regency. Data collection techniques used observation, interviews and documentation. The data were analyzed using the Miles and Huberman interactive model. Data validity used source triangulation and technique triangulation. This research results in, first, productive zakat can contribute to the addition of mustahik income and break the chain of mustahik dependence on muzakki, second, productive zakat can empower mustahik entrepreneurship through the Z-Chicken, Z-Auto, the livestock and Batik Craftsmen programs. These programs are able to improve mustahik skills, so that mustahik have an entrepreneurial spirit for sustainable economic development.

Effectiveness of physical soil and water conservation measures under simulated and observed dataset in Ethiopia: Meta‐analysis

AbstractTo combat land degradation through conserving soil and water resources, Ethiopia has undergone vigorous implementation of soil and water conservation (SWC) measures, predominantly physical structures. To evaluate the effectiveness of these implemented structures, various researches have been conducted through using both measured and simulated approaches. This study was initiated to analyze the reliability of SWAT‐based simulated studies results on the effectiveness of SWC measures toward erosion reduction potential against the measured dataset using unpaired t‐test statistical analysis. In this study, 123 published papers were downloaded, of which 70 were found to be more related to the objective of the review. After applying four refining criteria, only 43 were found more compatible with the study objective and used for data analysis. Studies conducted by different scholars show up to 98% and 93.50% soil loss reduction effectiveness by SWC measures in measured and simulated approaches, respectively. The simulated SWC measure efficiency output was also evaluated with respect to the ground‐measured data of the same structure within the same agroecology class. Finally, the unpaired t‐test results indicated that the grass strip in the mid‐highland agroecology showed a significant difference from the measured one at a 95% significance level. However, none of the other measures showed significant differences between the measured and simulated datasets. Hence, the SWAT model can effectively simulate the effectiveness of physical SWC measures on soil loss reduction if it is well‐calibrated and validated with sediment yield data. Refining model parameters that can be sufficiently captured and represent biological measures (grass strip), incorporating additional field data for calibration and validation coupled with exploring alternative modeling approaches that efficiently simulate biological SWC was set as a recommendation to obtain an effective biological measure simulation.

Experimental Study on the Boundary Reflection Effect of Stress Wave Propagation Based on the Newly Developed Test Apparatus

There is a ubiquitous boundary reflection effect of stress wave propagation in the indoor experimental studies. It is critical to improve the validity of waveform data by optimizing boundary materials to absorb reflection waves. In the present study, a calculation method for the optimal wave impedance of boundary materials was proposed based on the transmission and reflection principle of one-dimensional stress waves at the interface of different media. By using the calculation method, the optimal wave impedance value of the boundary material was obtained. A one-dimensional stress wave propagation test apparatus was developed for exploring the improvement effect of absorbing materials on the boundary reflection effect. One-dimensional stress wave propagation experimental studies in the complete red sandstone samples were carried out by setting various boundary absorbing materials such as pine pad, rubber pad, and steel pad. The results indicated that the experimental test results were consistent with the theoretical calculation results. In the stress wave propagation tests, the optimal wave impedance value of the boundary material was 1.12 × 106 kg/m2·s. When the pine pads were used as boundary absorbing materials, the suppression effect of boundary reflection effects is relatively the best. The present study provides references for analyzing the characteristics and mechanism of stress wave propagation and attenuation.

Competency mediates the influence of talent, interpersonal skills, and motivation on work ethic in entrepreneurial students

Work ethic is currently a strategic entrepreneurship issue. Gaps were still found in previous studies. This study uses an alternative research model by placing the competency variable as a mediating variable. Such a model is the novelty of this research. The research aims to analyze the influence of talent, interpersonal skills, and motivation variables on work ethic through competency mediation in entrepreneurial students in Semarang. This research uses a sample of 120 respondents. Data was collected using a questionnaire instrument and distributed to respondents via Google Forms. The measurement scale uses a Likert scale with five response points. This research processed data using SmartPLS, starting with validity and reliability tests, then descriptive statistical analysis, and ending with inferential analysis. This study uses a significance-level test to test the hypothesis. Valid and reliable data can be identified through validity and reliability tests. The analysis results show that work ethic is influenced by 62 percent by the interpersonal skills-motivation variable, while competence is influenced by 59 percent by the talent-interpersonal skills-motivation variable. The results show that competence plays a role as a mediation between interpersonal skills and work ethic, as well as between motivation and work ethic, but does not mediate between talent and work ethic.

A stochastic scale conjugate neural network procedure for the SIRC epidemic delay differential system

In this study, a stochastic computing structure is provided for the numerical solutions of the SIRC epidemic delay differential model, i.e. SIRC-EDDM using the dynamics of the COVID-19. The design of the scale conjugate gradient (CG) neural networks (SCGNNs) is presented for the numerical treatment of SIRC-EDDM. The mathematical model is divided into susceptible S ( ρ ) , recovered R ( ρ ) , infected I ( ρ ) , and cross-immune C ( ρ ) , while the numerical performances have been provided into three different cases. The exactitude of the SCGNNs is perceived through the comparison of the accomplished and reference outcomes (Runge-Kutta scheme) and the negligible absolute error (AE) that are performed around 10−06 to 10−08 for each case of the SIRC-EDDM. The obtained results have been presented to reduce the mean square error (MSE) using the performances of train, validation, and test data. The neuron analysis is also performed that shows the AE by taking 14 neurons provide more accurateness as compared to 4 numbers of neurons. To check the proficiency of SCGNNs, the comprehensive studies are accessible using the error histograms (EHs) investigations, state transitions (STs) values, MSE performances, regression measures, and correlation.

한국어 학습자의 한국어 교수 품질 인식 수준이 학습 만족도에 미치는 영향

Objectives This study aims to verify the effect of the perceived quality of Korean language teaching on learning satisfaction for international students learning Korean for academic purposes in Korea and to verify the mediating effect of learning commitment in this relationship. Methods A survey was distributed to 250 international students taking Korean language education at language schools and universities located in Seoul and Gyeongbuk Province, and factor analysis, correlation analysis, and multilinear regression analysis were performed on 247 valid sample data finally collected using SPSS 26.0. Results Among the levels of recognition of Korean language teaching quality, only the interaction quality had a significant positive effect on learning satisfaction. In addition, it was analyzed that learning commitment has the effect of mediating the relationship between the level of recognition of Korean language teaching quality and learning satisfaction. Conclusions In order to increase the level of interaction between Korean learners and instructors, the first priority for instructors is to improve their qualities in order to have an immediate response to the learning process, individual learners' understanding of culture, and requirements. Furthermore, when designing Korean language instruction, flexible efforts are needed to change the content and method of instruction required by learners through preliminary demand surveys from a learner-centered perspective, satisfaction, and difficulties surveys during the course of instruction.

The Development of Early Childhood Naturalist Intelligence through Environmental Education

Environmental education exists as a solution to improving the intelligence of early childhood naturalists, but its implementation is often forgotten or only as a hidden curriculum. The purpose of this study is to provide information related to the implementation of environmental education for early childhood to improve the intelligence of early childhood naturalists. The research method used in this study is a qualitative method presented in the form of an in-depth literature review. Literature study efforts are carried out by reading, observing, recognizing, and describing to analyze reading material in the form of related literature as a reference source. The result of this study is that the use of instructional strategies for gardening activities and creative game-based environmental learning can be considered to improve the intelligence of early childhood naturalists. In addition, it was also found that the material often used by educators to improve naturalist intelligence is the introduction of animals and plants. The trend of measuring the intelligence of early childhood naturalists uses many observation sheets, but it is also recommended to use research instruments that have been standardized or published in reputable scientific articles to obtain valid and reliable data. Keywords: environmental education, early childhood, naturalist intelligence

An appraisal of statistical and probabilistic models in highway pavements

Accurate performance prediction is crucial for safe and efficient travel on highway pavements. Within pavement engineering, statistical models play a pivotal role in understanding pavement behavior and durability. This comprehensive study critically evaluates a spectrum of statistical models utilized in pavement engineering, encompassing mechanistic-empirical, Weibull distribution, Markov chain, regression, Bayesian networks, Monte Carlo simulation, artificial neural networks, support vector machines, random forest, decision tree, fuzzy logic, time series analysis, stochastic differential equations, copula, hidden semi-Markov, generalized linear, survival analysis, response surface methodology and extreme value theory models. The assessment meticulously examines equations, parameters, data prerequisites, advantages, limitations, and applicability of each model. Detailed discussions delve into the significance of equations and parameters, evaluating model performance in predicting pavement distress, performance assessment, design optimization, and life-cycle cost analysis. Key findings emphasize the critical aspects of accurate input parameters, calibration, validation, data availability, and model complexity. Strengths, limitations, and applicability across various pavement types, materials, and climate conditions are meticulously highlighted for each model. Recommendations are outlined to enhance the effectiveness of statistical models in pavement engineering. These suggestions encompass further research and development, standardized data collection, calibration and validation protocols, model integration, decision-making frameworks, collaborative efforts, and ongoing model evaluation. Implementing these recommendations is anticipated to enhance prediction accuracy and enable informed decision-making throughout highway pavement design, construction, maintenance, and management. This study is anticipated to serve as a valuable resource, providing guidance and insights for researchers, practitioners, and stakeholders engaged in asphalt engineering, facilitating the effective utilization of statistical models in real-world pavement projects.

Assessing microbial stability and predicting biogas production in full-scale thermophilic dry methane fermentation of municipal solid waste

Compared to typical anaerobic digestion processes, little is known about both sludge microbial compositions and biogas production models for full-scale dry methane fermentation treating municipal solid waste (MSW). The anaerobic sludge composed of one major hydrogenotrophic methanogen (Methanoculleus) and syntrophic acetate oxidizing bacteria (e.g., Caldicoprobacter), besides enrichment of MSW degraders such as Clostridia. The core population remained phylogenetically unchanged during the fermentation process, regardless of amounts of MSW supplied (∼35 ton/d) or biogas produced (∼12000 Nm3/d). Based on the correlations observed between feed amounts of MSW from 6 days in advance to the current day and biogas output (the strongest correlation: r = 0.77), the best multiple linear regression (MLR) model incorporating the temperature factor was developed with a good prediction for validation data (R2 = 0.975). The proposed simple MLR method with only data on the feedstock amounts will help decision-making processes to prevent low-efficient biogas production.

Rational treatment options for T1/2N0M0 squamous cell carcinoma of the anal canal: a population-based study combined with external validation.

Treatment options for T1/2N0M0 anal squamous cell carcinoma include chemotherapy, radiotherapy, chemoradiotherapy, and local excision, although the optimal treatment method has not been determined. The National Cancer Institute Surveillance, Epidemiology and Results database was used to search and screen 1465 patients with cT1/2N0M0 anal squamous cell carcinoma who were clinically diagnosed between 2004 and 2016. Survival analysis was performed using the Kaplan-Meier method and log-rank test. Cox proportional hazards regression analysis was performed to screen independent prognostic factors and build a nomogram survival prediction model. According to the risk score, patients were divided into low, medium, and high risk groups using X-tile software. Age, sex, grade and cT stage were identified as independent prognostic factors for cT1/2N0M0 anal squamous cell carcinoma and were included in the nomogram to construct a prediction model. The C-index of the model was 0.770 [95% confidence interval (CI), 0.693-0.856], which was higher than the C-index of T stage 0.565 (95% CI, 0.550-0.612). Low-risk patients benefited from local resection, moderate-risk patients benefited from radiotherapy, and high-risk patients benefited from radiotherapy or chemoradiotherapy. This was confirmed using external validation data from the center. The nomogram developed in this study effectively and comprehensively evaluated the prognosis of patients with cT1/2N0M0 squamous cell carcinoma of the anal canal. Local excision is recommended for low risk patients, radiotherapy for moderate-risk patients, and radiotherapy or chemoradiotherapy for high-risk patients.

Deciphering and predicting changes in antibiotic resistance genes during pig manure aerobic composting via machine learning model.

Livestock manure is one of the most important pools of antibiotic resistance genes (ARGs) in the environment. Aerobic composting can effectively reduce the spread of antibiotic resistance risk in livestock manure. Understanding the effect of aerobic composting process parameters on manure-sourced ARGs is important to control their spreading risk. In this study, the effects of process parameters on ARGs during aerobic composting of pig manure were explored through data mining based on 191 valid data collected from literature. Machine learning (ML) models (XGBoost and Random Forest) were utilized to predict the rate of ARGs changes during pig manure composting. The model evaluation index of the XGBoost model (R2 = 0.651) was higher than that of the Random Forest (R2 = 0.490), indicating that XGBoost had better prediction performance. Feature importance was further calculated for the XGBoost model, and the XGBoost black box model was interpreted by Shapley additive explanations analysis. Results indicated that the influencing factors on the ARGs variation in pig manure were sequentially divided into thermophilic period, total composting period, composting real time, and thermophilic stage average temperature. The findings gave an insight into the application of ML models to predict and decipher the ARG changes during manure composting and provided suggestions for better composting manipulation and optimization of process parameters.

EVALUASI PELAKSANAAN PROGRAM REMEDIAL DENGAN MENGGUNAKAN MODEL FORMATIF-SUMATIF PADA PELAJARAN MATEMATIKA KELAS V

The remedial is a learning system which is taken based on a comprehensive diagnosis referred to find what is necessary to the students. One of the remedial activity is called an improvement given to the students. SDN 47 Kota Jambi is one of the school that remedial program is applied. This research examines the implementation of remedial program on mathematic subject, obstacles to the implementation of remedial program, intentions, and the effectiveness of teaching remedial on mathematics. This research applies descriptive approach. Interview, observation, and documentation were used to collect data. Interactive analysis model are connected with four interrelated components such as data collection, data reduction, data presentment and conclusion. These four criteria were used as validity data checking: level of credence, diversions, dependence, and the level of certainty. The results of this research have shown that (1) The implementation of remedial formative and summative program in SD 47 Kota Jambi has been accomplished as well. The school is also support the implementation of this program. As for the parents, the remedial program means giving a chance to the students to improve their mark. (2) This research found that student’s character, family, and society are the problems in the implementation of remedial program. As for the teachers, it is quite difficult to set the implementation time whereas as for the students, they are facing difficulties when dealing with narrative text, have lack of attention to the subject explained by the teacher and some of them are less-prepared when facing the remedial. (3) This remedial program has produced students who are diligent and built confident within themselves, getting more and more accurate when they have to dealing with their task and problems. (4) Still there are some improvements that needs to be achieved such as they are not develop their attitude and habits that encourage the sense of self-studious and confidence. Thus, sometimes they did not do their homework given by their teacher. (5) Remedial teaching on mathematics is very effective and brings good effect to the students both in school and home. Keyword : program evaluation, remedial, formative-summative model

POLA PENDIDIKAN MULTIKULTURAL DI SEKOLAH DASAR ISLAM TERPADU BUAH HATI SINTANG

Special schools with a unique vision, curriculum and educational environment are very attractive to people in choosing education for their children. Sekolah Dasar Islam Terpadu Buah Hati Sintang is one of the attractions of the school with the greatest interest among the Sintang Muslim community. The aim of this research is to describe the pattern of multicultural education that occurs in Integrated Islamic elementary schools that combine two curricula. This research uses one case study research with qualitative data collection techniques. Data validity applied a process of triangulation of techniques and sources with inductive conclusion drawing. The research results show: (1) Sekolah Dasar Islam Terpadu Buah Hati Sintang has two curricula; the National curriculum and the Islamic curriculum, (2) The multicultural pattern developed is an expression of the integration of Malay and Javanese culture (mixed culture) but is patterned and developed in a strong Islamic spirit, (3) The curriculum process requires teachers and students to fulfill the dimensions and values of Islamic education as a whole, including Syakhsiyyah Islamiyyah, Tsaqofah Islamiyyah and Life Sciences. In order for the multicultural education dimension to take root in the educational process at Integrated Islamic Primary Schools, it is necessary to strengthen holistic pedagogy and peace education by combining 21st century skills capacities so as to increase the spirit of unity, brotherhood and solidarity at the internal and external levels of the educational unit.

Cultural Encounters: Puppetry Performing Arts (Wayang) and Dangdut Music as a Reflection of India-Indonesia Integration

The purpose of this research is to reveal the relationship or social and cultural influence of the Indian nation on the expression of performing arts (wayang) and dangdut music in Indonesia. The hope of this research is to increase public awareness of the identity of national performing arts and music, which is rarely realized to be heavily influenced by Indian culture. Specifically, the aspects examined in this research include changes in the content of stories from Indian epics in the adaptation of Indonesian performing arts, as well as dangdut music that adapts the energetic spirit of music and dance from India. The method used in this research is qualitative with primary data sources derived from scientific articles and books related to the research. The data validation analysis technique used in this research is triangulation. Triangulation is used as a means of comparing the amount of data, to determine its consistency and accuracy, which will be displayed in the research. The results of this study show that, the culture brought by India is not really one hundred percent imitated or copied by the Indonesian people. The author concludes that the hybridity that occurs between Indian and Indonesian culture actually forms a new innovation in the field of art itself or can also be called a new work. The Mahabharata and Ramayana stories, which were originally the source of puppetry, changed and adapted to Indonesian culture. As a result, there are many compositions of the two epics, character changes, and the emergence of new characters that do not exist in the Mahabharata and Ramayana themselves, such as the punakawan characters that are closely related to the spread of Islam in Indonesia. The same goes for dangdut, a music that was originally based on the character of Malay music from Indonesia, now transformed into a new genre called dangdut due to the influence of India, through political elements and the spread of Indian movies in the 20th century.

Social Harmony in Wonomulyo, Polewali Mandar Regency

This research aims to determine harmony in Wonomulyo. This research is a qualitative research. Data was obtained through observation and in-depth interviews with informants who had lived for at least 5 years. Validation of data is carried out through member check. The research results show that the integration pattern that is realized is mutual cooperation and cooperation. The people in Wonomulyo, even though they are from different ethnicities, respect each other. Harmony is created through economic and cultural activities. Javanese people display cultural attractions at events commemorating religious holidays and Indonesian independence day events

Prediction of cell cycle distribution after drug exposure by high content imaging analysis using low-toxic DNA staining dye.

Interference in cell cycle progression has been noted as one of the important properties of anticancer drugs. In this study, we developed the cell cycle prediction model using high-content imaging data of recipient cells after drug exposure and DNA-staining with a low-toxic DNA dye, SiR-DNA. For this purpose, we exploited HeLa and MCF7 cells introduced with a fluorescent ubiquitination-based cell cycle indicator (Fucci). Fucci-expressing cancer cells were subjected to high-content imaging analysis using OperettaCLS after 36-h exposure to anticancer drugs; the nuclei were segmented, and the morphological and intensity properties of each nucleus characterized by SiR-DNA staining were calculated using imaging analysis software, Harmony. For the use of training, we classified cells into each phase of the cell cycle using the Fucci system. Training data (n = 7500) and validation data (n = 2500) were randomly sampled and the binary classification prediction models for G1, early S, and S/G2/M phases of the cell cycle were developed using four supervised machine learning algorithms. We selected random forest as the model with the best performance through 10-fold cross-validation; the accuracy rate was approximately 75%-87%. Regarding feature importance, variables expected to be biologically related to the cell cycle, for example, signal intensity and nuclear size, were highly ranked, suggesting the validity of the model. These results showed that the cell cycle can be predicted in cancer cells by simply exploiting the current prediction model using fluorescent images of DNA-staining dye, and the model could be applied for the use of future exvivo drug sensitivity diagnosis.

FAKTOR YANG MEMPENGARUHI NILAI PERUSAHAAN TERHADAP PERUSAHAAN MANUFAKTUR YANG TERDAFTAR DI BEI

This study aims to find out how the influence of Profitability, Liquidity, Leverage, and Company Size on firm value in manufacturing companies listed on the Indonesia Stock Exchange during 2018-2020. The sample was selected by purposive sampling method and the valid data were 55 companies. The data processing technique uses multiple regression analysis assisted by the E-views 9 program and Microsoft Excel 2016. The results of this study indicate that profitability has a significant effect on firm value, while liquidity has a negative and insignificant effect on firm value, leverage and firm size are positive and not significant to firm value.

Agree to Disagree: Multiple Methods to Assess Rater Agreement During Student Teaching

Agree to Disagree: Multiple Methods to Assess Rater Agreement During Student Teaching

FAKTOR-FAKTOR YANG MEMPENGARUHI NILAI PERUSAHAAN PADA PERUSAHAAN MANUFAKTUR

This research aims to determine the effect of profitability, likuidity, and firm size on firm value in manufacturing company listed on the Indonesia Stock Exchange in 2017 – 2019. The sample was selected by purposive sampling method and the valid data were 75 companies. The data processing technique uses multiple regression analysis assisted by Software Eviews version 11.0. The results of this study indicate that profitability, liquidity and firm size have no effect on firm value. The implication of this research is if small assets are used optimally with optimal sales and cost efficiency, the company will still be able to maintain company value, as well as for companies that have large assets.