The turret machine is one type of lathe that has The main characteristic is that the tool for sequential operations can be set in readiness for use in the appropriate sequence. This turret machine is intended for cutting, drilling and smoothing work pieces. The process of making this collar aims to find out what material is used and the function of the collar. In the process, the iron is clamped with a chuck then the drill which is located on the loose head is brought close to the workpiece then the chuck rotates so that the workpiece has a hole with an inner diameter of 11.2 mm, after that the workpiece is sprayed with bromus liquid to ensure that the workpiece does not rust easily and does not experience excessive heat which can damage the workpiece. Entering the next stage, the workpiece is cut to a length of 9 mm, and the next process is that the workpiece is placed in a jumper. The cumper process functions to smooth the workpiece so that it is not rough before entering quality control. After that, the object enters quality control. In quality control, the work object is measured using a jig measuring tool to determine whether the work object is OK or NG. The aim of this process is to make quality spare parts that are safe to use. The disadvantage of the turret machine is that it is a manual process that requires hand speed and expertise in operating the turret machine..
 
 

This research examines and analyzes the influence of brand image, product quality, price simultaneously and partially on purchasing decisions. The research approach used in this research is quantitative research. This research uses a non- probability sampling technique using purposive sampling. The sample selection criteria in this study were people who had ever bought an Android smartphone, had used an Android smartphone, had used an Android smartphone for more than 1, year were >17 years old, were in the JABODETABEK area. The questionnaires collected were 150 respondents, the data was then processed using the multiple linear regression method. Based on the results of the analysis, it is known that partially the variables brand image, product quality and price have a positive effect on purchasing decisions. And the variables of brand image, product quality and price simultaneously have a positive effect on purchasing decisions.

Optimizing the profit from coffee bean production is crucial in the coffee industry consider the competitive environment and the need for maximize revenue. The aim of this research is to use the Simplex linear programming method to determine and maximize profits from coffee bean production. This technique is used to ascertain the best combination of coffee bean production volumes while still considering a number of limitations, including scarce resources (labor, raw materials and machines) and market demand. The findings of this research show that by using the Simplex approach, companies can maximize the profit generated from coffee bean production while adhering to the existing constraints. The simulation conducted provides an optimal solution in terms of the precise production volume for each type of coffee product, contributing significantly to production planning and business strategy.

This research aimed to determine empirically the influence of Return On Assets, Free Cash Flow, Firm Size and Price Earnings Ratio on Dividend Payout Ratio on consumer non-cyclicals companies listed on the IDX in 2019 – 2023. This research was conducted using secondary data such as company financial reports. Datas were collected by  purposive sampling technique. In line with that, there were 95 datas from 19 companies which consistently give dividends each year. Additionally, the research used multiple linear regression model which was tested using IBM Statistics Product and Solution (SPSS) version 26. The results of the analysis showed that Return On Assets dan Price Earnings Ratio have positive and significant effect on Dividend Payout Ratio. Free Cash Flow and Firm Size have no significant effect on Dividend Payout Ratio.

Current Use of technology is very rapid, especially in the field of education. The process of using technology so fast can make it easier to process the data. Students 'grades are very complex in the form of students' 'leger' grade data and academic data. Stacking of student data repeatedly has an impact on the search for that data information. By using data mining process This research aims to classify the data of students of Hisba Buana Senior High School vocational class of 2017. The mining process is done through: business understanding, data understanding, data processing, modeling, evaluation and development. Using the Naive Bayes Algorithm is expected to calculate the probability of predicting passing, variable data that are not interrelated to whether or not other features are in the same data. Implement Rapit Miner to help manage accurate and accurate predictions. This study uses the attributes of subjects tested on the graduation exam from the beginning to the last semester. The result of this research with the accuracy level of 83.06% resulted in graduation group with value 0,506 and group did not pass with value 0,494. Decisionmaking is obtained from the Data and used as a basis for determining school policy.

Penyebaran jaringan internet menggunakan wirelles sekarang ini sangatlah besar, Apalagi jika di dalam sarana pendidikan tinggi, tentu sangat dibutuhkan. Koneksi jaringan internet tidak hanya dibutuhkan oleh mahasiswa, namun juga di butuhkan untuk layanan tenaga pendidik dan semua dosen dalam melaksanakan pendidikan. Penyebaran internet yang efektif sangatlah diperlukan agar dapat menjangkau ke seluruh ruangan di gedung utama. Gedung utama Universitas PGRI Semarang sangatlah unik, karena berbentuk seperti bentuk U, hal ini perlu dilakukan perancangan kebutuhan yang tepat. Jumlah acesspoint dapat efektif melayani ke seluruh pengguna yang menyebar di segala ruangan. Dari hasil perencanaan diperoleh hasil bahwa untuk dapat melayani sebanyak 400 orang, dengan ukuran panjang lorong gedung 180 m, lebar 8 m, tinggi 4 m. Maka dibutuhkan 3 buah acesspoint di setiap lorong.

The existence of the corona virus outbreak hampers teaching and learning activities that usually take place face-to-face. The learning system is carried out remotely by utilizing information technology. One of the big challenges in implementing the distance learning model is that the academic community is not yet accustomed to using a blended and online learning system. Teaching lecturers must pay attention to student learning styles because in each teaching, their effectiveness will closely match the student's learning method or style, in addition to their personal characteristics and intellectual abilities. Lecturers' lack of understanding of learning styles has a negative impact on students. The purpose of this study was to examine the learning styles of students of the Faculty of Economics, University of Semarang in a bold manner. This study used a descriptive research design. The population in this study were all 500 USM FE students who took sports courses in the odd semester of 2020/2021, aged 18-25 years. Sampling in this study using total sampling. The data analysis technique in this research is descriptive statistical analysis method. The result of this research is that the learning style of FE USM students has the highest kinesthetic, namely 40.8%, the second is visual as much as 33.8%, the third is auditory as much as 25.4%. Many students prefer an online lecture system by actively viewing, listening and doing direct question and answer with the lecturer, which is 41.2%. The suggestion that can be given is that the lecturers should increase theproportion of teaching the online system with live video, audio, display material and do direct question and answer. Systems with only live audio and display only material should be greatly reduced since few people like them.

ketentuan dalam Perma No. 5 tahun 2019 tentang pedoman mengadili permohonan dispensasi kawin agar tercapainya keadilan sejahtera bagi seluruh pihak. Sehingga diperlukan suatu rekonstruksi hukum sebagai upaya penekanan terhadap pernikahan dini agar memasuki kedewasaan berfikir dalam melangsungkan pernikahan. Melalui pendekatan yuridis normatif nantinya penelitian ini lebih menekankan pada data sekunder, yang kemudian dianalisis secara akademis. Sebagai implementasi dalam melindungi keadilan sosial bagi anak dalam menjalankan rumah tangga maka dilakukanlah rekonstruksi hukum terhadap persyaratan administrasi pengajuan dispensasi kawin, bentuk rekonstruksi hukum yang dilakukan yaitu dengan merubah persyaratan yang tertuang dalam Pasal 5 ayat (1) Perauran Mahkamah Agung Nomor 5 Tahun 2015 tentang Pedoman Mengadili Permohonan Perkawinan.  

This study explores the use of Broad Learning Systems (BLS) to predict the corrosion inhibition efficiency (CIE) of heterocyclic compounds, addressing limitations of deep neural networks (DNNs) such as vanishing gradients and computational inefficiency. BLS prioritizes network width over depth, enabling faster learning and improved generalization. Trained on quantum chemical properties (QCPs) of 192 heterocyclic compounds, BLS outperformed multilayer perceptron neural networks (MLPNN) and random forest (RF) models, achieving lower mean absolute error (MAE: 1.41), root mean square error (RMSE: 1.79), and higher R² (0.993). Predicted CIE values for quinoxaline derivatives (95.39% and 94.05%) aligned closely with experimental data. This study demonstrates the potential of BLS as an efficient, accurate, and scalable approach for predicting corrosion inhibition capabilities, contributing to advancements in corrosion science and environmentally friendly solutions.
 
Keywords - machine learning, broad learning system, neural network, corrosion.

The rapid evolution of the labor market, accelerated by the ASEAN Economic Community and an influx of job seekers, intensifies competition not only for employment but also for career stability within companies. At the same time, businesses face mounting pressure to stay competitive, often turning to mergers and acquisitions as a strategy for growth and survival. Yet, while these corporate moves may strengthen business prospects, they often leave workers in a precarious position, facing potential job loss or uncertain changes to their employment status. This research explores the legal protection of workers post-acquisition, focusing on Law No. 13 of 2003 on Manpower and analyzing relevant court decisions. The findings reveal that although acquisitions do not automatically terminate employment contracts, they frequently disrupt workers’ rights, exposing them to unexpected vulnerabilities. This study underscores the urgent need for stronger legal safeguards to protect workers from the fallout of corporate restructuring. By highlighting gaps in current labor protections, this research contributes to ongoing discussions on labor law reform, offering insights for policymakers, legal practitioners, and business leaders striving to balance corporate interests with workers’ rights in an increasingly volatile economic landscape. Ultimately, it raises a critical question: in the wake of corporate acquisitions, who truly stands up for the workers?