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The purpose of this Study was to determine: (1)Ritualistic influence on consumer behavior in modest fashion (Study on female students at the University of Nineteen November, Kolaka).(2)Consequential influence on consumer behavior in modest fashion (Study on female students at the University of Nineteen November, Kolaka). This research is a quantitative study with an explanatory research model using a  questionnaire as the instrument. The population in this study were all female students at the University of nineteen November Kolaka with a total sample of 110 respondents using purposive sampling.Testing research instrumentusing validity and reability tests with SPSS 25.0. The data analisis technique used in this research is Structural Equating Modeling (SEM) bades on Partial Least Square (PLS) through measurement model testing (outer model) and structural model testing (inner model) with Smart PLS  4.0. The results of this study indicate that the ritualistic variable has a positive and significant effect on consumer behavioras indicated by a P-Value of 0.000 and the Consequential variable also has a positive and significant effect on consumer behavior as indicated by a P-Value of 0.000

The objectives of this research are to determine the following: (1) Tangible influence on Kolaka RSBG customer satisfaction, (2) Reliability influence on Kolaka RSBG customer satisfaction, (3) Responsiveness influence on Kolaka RSBG customer satisfaction, (4) Assurance influence on Kolaka RSBG customer satisfaction, and (5) Empathy influence on Kolaka RSBG customer satisfaction. The sample in this research has 122 respondens, which used the sampling technique known as incidental sampling. Instrumen in this research used validity tests and reliability tests with SPSS 22.0. Research data analysis techniques used the Structural Equation Method Modeling (SEM-PLS) with SmartPLS 4.0. Based on the results of the research, it could be conculed that while Tangible variables had a positive and significant impact on customer satisfaction, as shown by their T-Statistic value of  3.667 and P-Values of 0.000, the Reliability variable’s impact on customer satisfaction has both positive and significant.This is shown by their T-Statistic value of 0,079 and P-Value of 0,469. With a T-Statistic value of 2.695 and P-Value of 0.004, the variable Responsiveness had a positive and significant impact on customer satisfaction, whereas the variable assurance had a negative and negligible impact. The Empathy variable had a positive and substantial impact on Customer Satisfaction , as shown by a T-Statistic value of 1.647 and P-Values of 0.050. Customer are indicated by a T-Statistic value of 0.867 and P-Values of 0,185.

With increasingly advanced technological developments, some of these problems can be minimized with the latest technology in the construction sector known as Building Information Modeling (BIM). With BIM, all parties involved in the project (stakeholders) can collaborate from the planning stage before the project is carried out, thereby reducing the potential for errors in development implementation (Mafrul, 2022). The use of BIM can provide the various functions necessary to model the entire life cycle of a building, while also providing a basis for dealing with changes and construction progress in positions and correlations between project teams. Proper implementation of BIM enables increasingly integrated design and construction processes, creating buildings with better quality, more efficient production costs, and shorter project completion times (Khairi et al., 2022b).

This research was conducted to determine "The Influence of Tourist Experience on Satisfaction and Intention to Return (Study on Visitors to Pak Budi Pasuruan's Garden)" The strategy used in this study was associative research with a quantitative approach, by distributing questionnaires as a data collection technique. The sampling method uses purposive sampling, which is a sampling technique where the people selected as samples are in accordance with the purpose of conducting research, the sample used is 100 respondents, carried out at Pak Budi Pasuruan's Garden Tour, and uses samples with the Lemeshow formula and uses data processing modeling using Smartpls 4.0 (Partial Least Square). The results of the study state that the variable Tourist Experience has a positive and significant effect on Tourist Satisfaction and Revisit Intentions.

The growing subsector of the food and beverage industry, including the highly competitive restaurant industry, highlights the importance of research in maintaining businesses and increasing customer loyalty in this sector. The purpose of this research is to investigate the influence of service quality on customer loyalty through customer satisfaction as a mediator in Fun House Resto. The method used is the Partial Least Squares - Structural Equation Modeling (PLS-SEM) analysis technique with descriptive and quantitative analysis. The sample used was 100 respondents using purposive sampling method in determining the respondents. The results of the study indicate that service quality has a direct positive effect on customer loyalty, service quality has a positive and significant effect on customer satisfaction, customer satisfaction has a positive and significant effect on customer loyalty, and service quality has a positive and significant effect on customer loyalty through mediation of customer satisfaction. These results indicate that Fun House Resto should consider maintaining service quality and customer satisfaction in ensuring customer loyalty. Furthermore, as part of their efforts to maintain customer loyalty, they should also consider other factors such as product quality, facilities, prices, and others.

Digital financial services in Indonesia, one of which is Flip which provides interbank transfer services for free and also free of charge. This study wants to know and measure the level of acceptance and understanding in using a Flip e-wallet service through the Technology Acceptance Model (TAM) which is determined by the perception of ease of use through usage attitude as a mediation variable. The data analysis technique used is Structural Equation Modeling (SEM) which uses PLS (Partial Least Square) Software. The characteristics of respondents used in data processing are Surakarta people with age criteria of 19-44 years and frequency of use of Flip <1 month in 2023.The results obtained from the data processing above explain that the perceived ease of use has no effect on the behavioral intention to use. Attitude towards using are able to mediate the influence between perceived ease of use and behavioral intention to use Flip e-wallet service.

Crew Boat is a ship used to transport crews and supply food, water, and equipment to support offshore oil drilling activities. The crew boat 40 M was built at PT. FGH has a hull of 12 people and a passenger carrying capacity of 70 people. This ship also has 3 prime movers so that the ship can go at speeds of up to 25 knots. When the ship operates from the port to the oil drilling site carrying full passengers and other equipment that supports the oil drilling, it is expected that this Crew Boat ship is expected to be able to carry passengers and other equipment stably or not sway. So this research was conducted to determine the stability of the Crew Boat. Ship stability is obtained by modeling using the Maxsurf modeler to make a ship hull model and also using Maxsurf Stability with 3 different loadings. Obtained from the research results of the Crew Boat 40 M ship built at PT.FGH meets the modification criteria with IMO Intact Stability and the ship is suitable for use according to its function.

Bar bending schedule is a systeem of bending patterns of reinforcement that includes data on diameter, shape, length and number of reinforcement. The purpose of this study is to obtain images of bar bending schedule documents, pile cap foundation iron volumes and find out whether Autodesk Revit software is more efficient and effective than conventional methods. This research uses quantitative methods and the manufacturing process uses the concept of Building Information Modeling (BIM) with autodesk revit software. The results showed that the use of Autodesk Revit software makes it more effective, especially in making bar bending schedule documents, because everything is made automatically. The volume of pile cap iron produced by Autodesk Revit software is 46,878 kg has a difference with the existing (conventional) volume. The volume result of autodesk revit software is less with a difference of 1.29%. This shows that Autodesk Revit software is more efficient in terms of calculating the volume of concrete iron.

This study aims to determine the effect of Intellectual Intelligence, Emotional Intelligence, Social Intelligence, Spiritual Intelligence and Workload on Employee Performance at the Center for Drug and Food Control (BBPOM) in Mataram. The population in this study were employees of the Center for Drug and Food Control (BBPOM) in Mataram in the field of testing and inspection, totaling 43 employees using Non Probability Sampling (Purposive Sampling) where the sample can represent the characteristics of the desired population. Data processing in this study uses SEM – PLS (Structural Equation Modeling – Partial Least Square). Based on the research results, intellectual intelligence has a significant effect on employee performance, emotional intelligence has a significant effect on employee performance, social intelligence has a significant effect on employee performance, spiritual intelligence has a significant effect on employee performance and workload has a significant effect on employee performance. the most dominant variables that affect the variables of intellectual intelligence, spiritual intelligence, social intelligence, and emotional intelligence.

This data mining association processes 1224 Gamefantasia ticket redemption transaction data. The goal is to find a pattern of association between goods as a recommendation for structuring the display of goods at the cashier counter and increasing ticket exchange transactions. Modeling uses a comparison of two algorithms, namely the Apriori algorithm and FP-Growth. The data analysis method with the CRISMP-DM method is then processed by RStudio software. The results of the study with the same parameters support 0.02 and confidence 0.1 FP-Growth algorithm formed 53 rules, the strength of the association rule 6.2%, the accuracy was1245%. Whereas the Apriori algorithm forms only 12 rules, the strength of the association rules is 2.1% and the accuracy is 7.8%. Thus, it can be concluded that the use of the FP-Growth algorithm has better results than the Apriori algorithm because it has the highest accuracy in finding transaction patterns.

This study aimed to analyze the influence of sharia compliance and customer satisfaction towards Muslim purchase behavior in sharia hotels in West Sumatra. This research uses a quantitative methodology with a causal associative approach. Muslim guests who have stayed at sharia hotels constitute the population, and a purposive sampling technique is used to determine the number of research samples. The sample size for this study was 99 Muslim guests who had stayed at a sharia hotel in West Sumatra. Partial Least Square Structural Equation Modeling (PLS-SEM) is the analytical method used. From the results of research that has been carried out, the variables of sharia compliance and customers satisfaction have a positive and significant effect on the purchase behavior of sharia hotels in West Sumatra. It can be said that based on this research, purchase behavior occurs if the hotel is compliant and guests feel satisfied during their stay, then guests will consider purchase behavior.

This study aims to develop the concept of external support, compatibility and organizational capabilities in increasing the adoption of Electronic Commerce and its impact on the performance of small and medium enterprises. The sample of this research was 123 respondents consisting of small and medium culinary business owners in the city of Semarang, Indonesia. The analysis technique uses Structural Equation Modeling - Amos program version 21. The results show that adoption of electronic commerce is significantly positively influenced by external support, by compatibility, by organizational capability, and by organizational capability, in addition to being significantly positively influenced by adoption of electronic commerce and the performance of small and medium-sized businesses. You may swiftly and effectively rework and reword your material by using paraphraser to take your sentences and make modifications.

Exemplary leadership of God's servants in carrying out efforts to raise awareness of the importance of worship. This is very important for society. Provide more understanding and exemplary than God's servant who can influence or make an exemplary example that reflects the basic ministry of Jesus the Messiah who is an example. In this study, there is a symptom that causes church members not to consider worship as important in building public awareness to prioritize worship with the aim of each working and glorifying God in worship. The presence of God's servant in the organization to perform ministry. Services that are carried out humbly can encourage the congregation to pray and provide an understanding of the importance of worship which will change the pattern of life that God really wants.

Malvaceae is a plant family that is often known as the cotton tribe. Malvaceae is known as a plant that has various benefits both in the health sector as medicine, industry, art, ecological interests, and others. Generally, the Malvaceae family is found in bush or shrub habitus and is rarely found in tree form. The research aimed to find out how many families Malvaceae grow in a field and to be able to identify and classify the plants found in an area. In the research that has been conducted, 4 individual plants have been found, consisting of 2 Balsa species, 1 hibiscus plant, and 1 pulutan plant. Hibiscus and pulutan plants are widely used as medicines because they contain chemical compounds that reduce the risk of various diseases and balsa trees are used in carving as crafts, aircraft modeling, and industrial matters.

Property price determination is a complex challenge influenced by various factors, thus requiring an effective method for accurate prediction to support investment decision-making. In the current digital era, conventional approaches are being replaced by data-driven and artificial intelligence methods, where Linear Regression remains a popular choice due to its simplicity and effectiveness in modeling linear relationships. This study aims to analyze the relationship between the physical characteristics of a house and its selling price, and to build an accurate predictive model using the Linear Regression algorithm. A quantitative method was used, focusing on Building Area , Number of Rooms, and Building Age  against the House Selling Price. Correlation analysis results show that Building Area has the strongest correlation (0.81) with price, while Building Age shows a negative correlation (-0.52). The Linear Regression model demonstrated very strong and stable performance. The model achieved an R² Score of 0.9396 on the testing data, meaning 93.96% of house price variability can be explained by the model. Furthermore, the low MAE of only 11.31 million rupiah indicates a small prediction error, and the consistency of R² scores confirms that the model does not suffer from overfitting. This study concludes that the Linear Regression model provides excellent, stable, and reliable prediction performance for projecting house selling prices

Pengembangan sistem informasi akademik bertujuan untuk memberikan sarana dasar kepada perguruan tinggi. Sistem informasi akademik diperlukan untuk mengelola seluruh kegiatan akademik diantaranya mengelola kartu rencana studi, mengelola kartu hasil studi, mengelola data dosen dan tenaga kependidikan, mengelola data mahasiswa, mengelola kelas, mengelola pertemuan dan presensi. Memiliki sistem informasi akademik akan mengurangi resiko keamanan data serta mendukung kemandirian pengelolaan teknologi informasi. Pengembangan sistem informasi ini menggunakan metode penghimpunan data menggunakan metode tanya jawab (interview) dan pengamatan lapangan. Performance, Information, Economics, Control, Efficiency dan Service adalah metode PIECES yang akan digunakan dalam menganalisa sistem. Unified Modelling Language (UML) adalah metode perancangan sistem yang digunakan dalam penelitian ini. System engineering, Requirement analysis, Design, Coding, Testing dan Maintenance adalah metode pengembangan sistem Waterfall yang peneliti gunakan. Sistem informasi akademik dikembangkan sesuai kebutuhan institusi saat ini tetapi seiring perkembangan peraturan dan kebutuhan institusi maka perlu dilakukan evaluasi kinerja secara periodik.

In order to investigate the effects of transformational leadership and self-efficacy on employee performance in Auto 2000 By Pass Padang, job satisfaction will be used as an intermediary variable. All 50 employees of Auto 2000 By Pass Padang received questionnaires as part of the data collection process. The analytical method used in this study was structural equation modeling (SEM) with partial least squares (PLS). The study's findings are as follows: (1) Leadership has a small but positive impact on employee performance. (2) Reward has a favorable and significant impact on employee performance. (3) Punishment has a significant and favorable impact on an employee's performance.

The information system is one of the strategic means in patient care-oriented management. So far, Regional Hospital RAA Soewondo Pati has never conducted an evaluation related to the management information system (HMIS), so it is not known that the existing system is effective and efficient to answer patient needs. The purpose of this study was to determine the effect of the hospital management information system with the structural equation modeling method approach. This research is a case study research with data collection method using a questionnaire. The data that has been collected is then analyzed using SEM analysis. The results of his research stated that the quality of the system had a significant positive effect on the use of information systems. There is a significant effect of system quality on user satisfaction. There is a significant positive effect between the quality of information on the intensity of the use of information. In this study, the intensity of the use of information systems does not play a role in increasing user satisfaction in using information systems. User satisfaction has a significant positive effect on net benefits.

Penelitian ini bertujuan untuk menganalisis Pembelajaran Kontekstual  Dan Pembelajaran Problem Based Learning. Penelitian ini termasuk penelitian kualitatif. Pendekatan yang dipakai adalah penelitian murni kepustakaan (library research). Data diperoleh dari bahan bacaan yang diperoleh peneliti dari buku-buku, artikel-artikel yang termuat dalam cetak. Data dikumpulkan dan dipilah-pilah untuk mengisi jawaban dari pertanyaan penelitian yang dirumuskan. Analisa menggunakan pendekatan analisis isi (content analysis) untuk mendapatkan informasi terkait Pembelajaran Kontekstual  Dan Pembelajaran Problem Based Learning. Adapun kesimpulan dari penelitian ini adalah Pembelajaran kontekstual merupakan suatu pembelajaran yang mengkaitkan kontekstual sehari-hari pada materi pembelajaran sehingga siswa mampu memaknai pengetahuan/ ketrampilan yang dipelajarinya serta secara fleksibel dapat menerapkan pengetahuan/ ketrampilan yang dimilikinya dari suatu permasalahan/konteks ke permasalahan yang lainnya. Pendekatan kontekstual melibatkan tujuh komponen utama pembelajaran kontekstual, yaitu : konstruktivisme (contruktivisme), menemukan (inquiri), bertanya (question), masyarakat belajar (learning comunity), pemodelan (modeling), refleksi, penilaian yang sebenarnya (aunthentic asesment). Pembelajaran berbasis masalah (Problem-based Learning) merupakan salah satu model yang tepat dikembangkan  dalam pembelajaran teknologi untuk merespon isu-isu peningkatan kualitas pembelajaran teknologi dan antisipasi perubahan-perubahan yang terjadi di dunia kerja. Karakteristik dan Tahapan Pembelajaran Model Problem-Based Learning. Pembelajaran berbasis masalah dikembangkan terutama untuk membantu siswa mengembangkan kemampuan berpikir, pemecahan masalah, dan ketrampilan intelektual, belajar tentang berbagai peran orang dewasa dengan melibatkan diri dalam pengalaman nyata atau simulasi, dan menjadi pembelajar yang otonom dan mandiri.  

This research was conducted at SMK Widya Praja Ungaran. Every year the Widya Praja Ungaran Vocational School holds a New Student Registration (PPDB) to select prospective students. In the 2018/2019 academic year, 396 people registered and 298 people were accepted. The PPDB process starts from prospective students filling out the registration form and ends with the payment of re-registration funds for accepted students. The system used in the implementation of PPDB is still paper-based so that the performance of the PPDB committee is less effective. The purpose of this study is to design a computer-based new student registration system that is structured in a database to assist the PPDB committee in processing registration participant data, reduce paper purchase costs, minimize the risk of data loss, data corruption, recording and counting errors. Data collection was obtained through observation, interviews, questionnaires and literature study. This system is made using dynamic web with PHP (Hypertext Preprocessor) programming language and MySQL database. The design of this system uses UML (Unified Modeling Language). The development method used is the R&D (Research and Development) method. This study resulted in a cash-based new student registration administration system using a dynamic web to provide convenience for the committee in processing PPDB participant data from the registration process to new student re-registration transactions, as well as presenting reports quickly and accurately. Based on the research conducted, the results obtained from testing the validity of the new system score from internal and external validators. The internal validator with 20 statements obtained a feasibility percentage of 94%. An external validator with 20 statements obtained a feasibility percentage of 97%. From the results of these tests, it can be concluded that the administrative system for registering new students can be a solution to the problems found and can be implemented in the object of research.