Operations Division Research Articles

Digital Management Methods and Case Studies of Enterprises Based on Emerging Information Technology

Emerging information technologies include artificial intelligence, big data, blockchain, Internet of Things, BI, etc. The gathering of emerging information technology has brought an excellent opportunity for managing enterprise digital transformation. The essence of enterprise digital transformation is to use the advantages of digital technology in data collection, network transmission and analysis and calculation to complete the optimization and upgrading of enterprise business model, management model and business model. The fundamental goal of enterprise digital management is to maximise the benefits of the enterprise. This paper examines the problems and challenges encountered by traditional enterprise management models in the digital era. It analyses classic cases of digital transformation management in pillar industries of the national economy based on emerging IT technologies. It is concluded that through the use of modern digital information technology and digital management mode, enterprises can gradually create a supervisory mechanism with fast communication, clear division of labour, responsibility, quick response, timely solution and efficient operation, and comprehensively improve their operation level to achieve the goal of digital, standardised and refined enterprise management.

AritPIM: High-Throughput In-Memory Arithmetic

Digital processing-in-memory (PIM) architectures are rapidly emerging to overcome the memory-wall bottleneck by integrating logic within memory elements. Such architectures provide vast computational power within the memory itself in the form of parallel bitwise logic operations. We develop novel <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">algorithmic</i> techniques for PIM that, combined with new perspectives on computer arithmetic, extend this bitwise parallelism to the four fundamental arithmetic operations (addition, subtraction, multiplication, and division), for both fixed-point and floating-point numbers, and using both bit-serial and bit-parallel approaches. We propose a state-of-the-art suite of arithmetic algorithms, demonstrating the first algorithm in the literature of digital PIM for a majority of cases – including cases previously considered impossible for digital PIM, such as floating-point addition. Through a case study on memristive PIM, we compare the proposed algorithms to an NVIDIA RTX 3070 GPU and demonstrate significant throughput and energy improvements.

Pengaruh Kompensasi dan Faktor lainnya terhadap Retensi Karyawan Karyawan PT. X

The purpose of this study was to determine the effect of satisfaction, job satisfaction, and career development on employee retention at PT. X. The population in this study are employees of the operational division of PT. X as many as 128 employees. The sampling technique used is purposive sampling, namely sampling with consideration according to the desired criteria. The sample in this study amounted to 107 employees. Data collection techniques using questionnaires and interviews. The analysis technique used is multiple linear regression analysis. Based on the results of the analysis of hypothesis testing data, it shows that the effect has no effect on employee retention, job satisfaction has an effect on employee retention, career development has no effect on employee retention

PENGARUH GAYA KEPEMIMPINAN, BUDAYA ORGANISASI, DAN WORK-LIFE BALANCE TERHADAP WORD ENGAGEMENT KARYAWAN

This study aim to determine the effect of leadership style, Organizational culture, and work-life balance on the work engagement of employees of PT.Bank X Jakarta (Head Office) operational division of kanal elektronik based on the perception of employees of the Bank X. Operational Division Head (Office). 56 respondents data were analyzed descriptively and tested using the structural equation model (SEM). The result showed that the employees of PT Bank had a significant positive effect of a strong leadership style and influenced employee work engagement.Organizational culture at PT Bank X has a positive and significant effect on employee work engagement and word life balance at PT Bank X has a positive and significant effect on employee work engagement.

Application of Problem-based Learning in Efforts to Build Mathematical Literacy Skills

Mathematical literacy ability is the ability that a person has in formulating, using, and interpreting mathematics in a variety of concepts. From the results of diagnostic tests conducted at the beginning of the 7.1 grade learning year at SMPN 3 Malang, it was found that more than 50% of students were not maximal in applying mathematical concepts in solving a mathematical problem. This can happen due to a misunderstanding of the problem or also a mathematical concept that is not used to being used. The use of learning by using problem-based learning, which is carried out in 2 cycles and discusses material regarding number operations (multiplication and division of integers) is applied to build students’ mathematical literacy skills on number operations material. This study contains actions that are adapted to the syntax of problem-based learning and indicators at level 2-3 PISA mathematical literacy abilities. The results of this study applying the problem-based learning model adapted to the PISA mathematical literacy ability indicators obtained a very significant increase in score from 50.01 to 91.43 and at the evaluation stage, the results increased from 44% to 75.86%. It can be stated that the application of problem-based learning model if adapted to PISA’s mathematical literacy ability indicators can build mathematical literacy skills.&#x0D; Keywords: problem-based learning, mathematical literacy, operation of integers

Neurosurgical skills analysis by machine learning models: systematic review.

Machine learning (ML) models are being actively used in modern medicine, including neurosurgery. This study aimed to summarize the current applications of ML in the analysis and assessment of neurosurgical skills. We conducted this systematic review in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We searched the PubMed and Google Scholar databases for eligible studies published until November 15, 2022, and used the Medical Education Research Study Quality Instrument (MERSQI) to assess the quality of the included articles. Of the 261 studies identified, we included 17 in the final analysis. Studies were most commonly related to oncological, spinal, and vascular neurosurgery using microsurgical and endoscopic techniques. Machine learning-evaluated tasks included subpial brain tumor resection, anterior cervical discectomy and fusion, hemostasis of the lacerated internal carotid artery, brain vessel dissection and suturing, glove microsuturing, lumbar hemilaminectomy, and bone drilling. The data sources included files extracted from VR simulators and microscopic and endoscopic videos. The ML application was aimed at classifying participants into several expertise levels, analysis of differences between experts and novices, surgical instrument recognition, division of operation into phases, and prediction of blood loss. In two articles, ML models were compared with those of human experts. The machines outperformed humans in all tasks. The most popular algorithms used to classify surgeons by skill level were the support vector machine and k-nearest neighbors, and their accuracy exceeded 90%. The "you only look once" detector and RetinaNet usually solved the problem of detecting surgical instruments - their accuracy was approximately 70%. The experts differed by more confident contact with tissues, higher bimanuality, smaller distance between the instrument tips, and relaxed and focused state of the mind. The average MERSQI score was 13.9 (from 18). There is growing interest in the use of ML in neurosurgical training. Most studies have focused on the evaluation of microsurgical skills in oncological neurosurgery and on the use of virtual simulators; however, other subspecialties, skills, and simulators are being investigated. Machine learning models effectively solve different neurosurgical tasks related to skill classification, object detection, and outcome prediction. Properly trained ML models outperform human efficacy. Further research on ML application in neurosurgery is needed.

Pengaruh Pelatihan Pengembangan Karyawan Dan Kompetensi Karyawan Terhadap Produktivitas Kerja Pada Karyawan Divisi Operasional Kapal PT. Suntraco Intim Transport

Introduction: The purpose of this study is to analyze the impact of training, employee development and employee competence on employee productivity in the Operational Division of Ship Pt. Suntraco Intim Transport. Research Methodology: The research method used is quantitative descriptive. The sampling technique used is saturated samples so from a population samples as many as 30 respondents, data collection methods used are observation, lifting, and library. The analytical tools used in this study are SPSS software version 23. The data analysis techniques used are double linear regression, t test, F test and determination coefficient. Research results: From the results of the analysis using the test T, analysis F testing the hypothesis at the level of confidence α = 5%, the t count value of 2.565 &gt; t table 2.042 and the significant value is of 0.016 &lt; 0.05 then it can be concluded that the Employee Training variable influences on the Work Productivity Employees operational division of the ship PT. Suntraco Intim Transport, Surabaya. for the hypothesis number two obtained a counting t value of 2.183 &gt; t Table 2.042, and the significance value is 0.038 &lt; 0.05, then it could be concluted that the employee development variable has a significant influence on the labour productivity of the employees of the operational divisions of the ships of PT. Sunraco intim transport, Surabaya. for the three hypotheses the counting value of the number three is 2. 183 &gt; T table 2,042 and its significance is 0.010 &lt; 0,05 then it was possible to conclude that the staff competence significantly influenced on the performance of the work of the staff of the PT. Suntraco Intim Transport, Surabaya&#x0D;

OPTIMIZATION OF THE 3D PRINTING AND TEST OF MATERIALS FOR TEACHING AND LEARNING FOR STUDENTS WITH VISUAL IMPAIRMENT

The article presents the studies and steps followed to optimize the 3D printing of an inclusive material, the “Adapted Multiplication Domino”. This material is a game that follows the same rules as a traditional domino, but with numerical representation at the ends of each piece with mathematical operations (multiplication and division), so that students can calculate, play, and fix math contents, which can be played by students with and without Visual Impairment. During the printing of the first prototype of this material, the printed pieces contained stringings (traces of filament in empty spaces of the piece), which made it difficult for blind students to read the braille operations. A literature review about problems in 3D printing was realized, using databases and platforms such as SciELO, Google Scholar, and Capes Periodical Portal, to be able to identify and solve the problem that was occurring. With that done, the complete game was printed and tested, to collect feedback, and based on that, making the necessary changes and obtaining a satisfactory and adequate result.&lt;p&gt; &lt;/p&gt;&lt;p&gt;&lt;strong&gt; Article visualizations:&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;img src="/-counters-/soc/0009/a.php" alt="Hit counter" /&gt;&lt;/p&gt;

Performance evaluation of infinite impulse response filter synthesis using parallel-Direct-Ladder form under finiteword-Length effects

Synthesizing a parallel-form IIR filter from a given non-strictly-proper transfer function requires a polynomial long division method, which results in dynamical range problem under finite word-length (FWL) fixed-point implementations. Based on the state-space similarity transformation, in this paper, a synthesis scheme for parallel-form IIR filters is proposed without requiring long division of polynomials operations to reduce dynamical range problems for obtaining parallelized first or second-order sections either in direct-form or coupled-form. The main advantage of the proposed scheme is that the parallelized IIR filter can be synthesized based on state-space normal-form similarity transformation from any digital filter transfer functions. In addition, the proposed two modified coupled-form filters based on the parallelized IIR filter have benefits of less computational consumption and zero-input limit-cycle free, especially for modified second-order coupled forms in contrast with the conventional coupled-form biquad. Finally, two numerical examples are performed to illustrate the effectiveness of the proposed scheme.

Pengaruh Loyalitas Kerja Terhadap Kinerja Karyawan Pada Divisi Operasional PT. BPR Prisma Dana Manado

The author conducted this study to determine how much influence work loyalty has on employee performance at the Operational Division of PT. BPR Prisma Dana Manado. This research was conducted using data collection procedures obtained through observation and questionnaires. In this study, the population that the author made as respondents amounted to 40 people. From the results of research conducted by the author that, work loyalty has a significant effect on employee performance at the Operational Division of PT. BPR Prisma Dana Manado. It can be proven by the Pearson value for the X variable of 0.673 which means that it lies in the Pearson correlations value of 0.61 to 0.80 which means that the level of relationship between work loyalty and employee performance is included in the strong category with a significant value of 0.000 &lt;0.05 meaning correlated or related. To be emphasized again how the relationship and the influence of work loyalty on employee performance is the relationship between work loyalty its influence on employee performance in this study got a value of r = 0.673 which means it has a positive and strong relationship, while the effect of work loyalty on employee performance can be seen from the results of the coefficient calculation. determination of 0.453 and represented by 45.3%. So the influence of loyalty by 45.3% and 54.7% is not known or influenced by factors not examined.

«Other» persons as participants in secret investigators (detective) actions (criminal control)

Purpose. The purpose of the work is to study the current legislation that ensures the legality of secret investigative (search) actions. The author of this work substantiates the illegality of using the materials of secret investigative (search) actions to prove the guilt of a person if an unauthorized person was involved in conducting such investigative actions. Method. The methodology includes a comprehensive analysis and generalization of the available scientific and theoretical material and the formulation of relevant conclusions. During the research, the following methods of scientific knowledge were used: comparative-legal, logical-grammatical, systemic-structural, modeling. The results. In the process of research, it was established that persons who are not employees (employees) of operative divisions of law enforcement agencies, who are not allowed to the state secret, cannot participate in secret investigative (search) actions, but authorized persons who conduct such investigative actions can use information received from "other" persons. Evidence obtained in violation of the procedure for conducting secret investigative (search) actions must be declared inadmissible by the court. Scientific novelty. With regard to the development by scientists of the topic of involving persons not admitted to state secrets in secret (investigative) investigative actions, this topic is new. In the process of research, it was scientifically proven that the involvement of unauthorized persons in conducting such investigative actions is a violation of current legislation. Practical significance. The results of the research can be used in law-making activities for the further improvement of the national criminal procedural legislation regarding the improvement of the institution of the use of covert investigative (search) actions, in the practical work of law enforcement agencies, the defense side, the administration of justice, as well as in the educational process during the teaching and learning of academic disciplines "Criminal Procedural Law of Ukraine" and "Advocacy".

Pengaruh Keterampilan dan Karakteristik Kepribadian terhadap Kinerja Karyawan Pada PT Telkom Akses Sorong

This study uses 3 variables, namely skills and personality characteristics as independent variables, employee performance variables as the dependent variable. This study aims to determine the effect of skills on employee performance at PT Telkom Access Sorong, to determine the effect of personality characteristics on employee performance at PT Telkom Access Sorong, and to determine the effect of skills and personality characteristics on employee performance at PT Telkom Access Sorong. This research is a quantitative research using a correlation approach. The population in this study is the Technician Employees of PT Telkom Access Sorong which is limited to the operation division of the technician section. The sample of this study amounted to 49 people. The sampling technique of this study used non-probability sampling with saturated sampling technique. The results of this study are 1) skills affect employee performance at PT Telkom Access Sorong, 2) characteristics affect employee performance at PT Telkom Access Sorong, 3) skills and personality characteristics on employee performance at PT Telkom Access Sorong. In testing the hypothesis, the t-value of skills (X1) is 11.624, and the t-value of personality characteristics is 8.272, then simultaneous testing shows the f-count of 486.854 with a significance value of 0.00, so it can be concluded that skills and personality characteristics on performance employees at PT Telkom Access Sorong

The impact of regulation on the Brazilian water and sewerage companies’ efficiency

Access to sanitation services in Brazil is still deficient, despite the abundant financial resources allocated to it in the last two decades and the objective of the regulatory framework of 2007 of providing universal access and efficient sanitation systems. This article analyzes the impact of the regulatory environment on the water and sewerage companies' levels of efficiency. First, these efficiencies were computed within a dynamic network data envelopment analysis for a sample of 156 Brazilian water and sewerage companies, from 2006 to 2015, considering investments in water, investments in sewage, and operations divisions separately. In the second stage, this research related water and sewerage companies' efficiencies to innovative measures of the regulatory environment by using a panel data model, with data from 2006 to 2015. The efficiency analysis revealed low levels of overall and divisional efficiencies, highlighting the importance of evaluating efficiency over time, and of considering the providers’ internal structure, to identify inefficiencies that may compromise the achievement of regulatory objectives. The regression results indicate that the impact on the overall and divisional efficiencies depends on the choice of regulatory incentives, the intensity of the application of those incentives, and even the number of regulatory authorities.

CNN Model with Multilayer ASPP and Two-Step Cross-Stage for Semantic Segmentation

Currently, interest in deep learning-based semantic segmentation is increasing in various fields such as the medical field, automatic operation, and object division. For example, UNet, a deep learning network with an encoder–decoder structure, is used for image segmentation in the biomedical area, and an attempt to segment various objects is made using ASPP such as Deeplab. A recent study improves the accuracy of object segmentation through structures that extend in various receptive fields. Semantic segmentation has evolved to divide objects of various sizes more accurately and in detail, and various methods have been presented for this. In this paper, we propose a model structure that reduces the overall parameters of the deep learning model in this development and improves accuracy. The proposed model is an encoder–decoder structure, and an encoder half scale provides a feature map with few encoder parameters. A decoder integrates feature maps of various scales with high area details and forward features of low areas. An integrated feature map learns a feature map of each encoder hierarchy over an area of previous data in the form of a continuous coupling structure. To verify the performance of the model, we learned and compared the KITTI-360 dataset with the Cityscapes dataset, and experimentally confirmed that the proposed method was superior to the existing model.

A Dynamic Evaluation of the Process of Solving Mathematical Problems, according to N.F. Talyzina's Method.

The process of teaching mathematics represents a challenge for primary education, due to the different perspectives and disciplines involved. In addition, as an active and flexible process, it requires feedback on what the students actually achieved. An analysis of the different learning and development outcomes allows the teacher to understand the mathematical content and the method of teaching it in the classroom, with the objective of promoting the students' conceptual development. The objective of our study was to analyze the general skills for problem solving which students developed, by applying dynamic evaluation. A verification method was used to identify the students' abilities and difficulties. A protocol for evaluating the process of solving mathematical problems was organized. The assessment included four simple problems and four complex ones. The participants were 15 students in the third grade of primary school attending a private school located in Mexico City. The results showed that the students identified the types of mathematical operations (addition, subtraction, multiplication, and division) required to solve the problems as their objective. Therefore, their preparation of a solution plan, its execution, and its verification were based only on empirical thinking and quantitative information. We concluded that problem-solving is an intellectual activity that requires conceptual development to carry out a solution plan, execute it, and verify it, in addition to the main objective of answering the question posed by the problem. We propose that these characteristics be included in the organization of mathematics teaching in order to develop mathematical thinking.

Gathering the evidence: health and aged care carbon inventory study.

Objective This study aimed to calculate the baseline carbon inventory of Mercy Health, a provider of health and aged care services in Australia, across emission Scopes 1, 2 and 3. The carbon inventory has clarified the baseline environmental impact, identified carbon hotspots and will inform emissions reduction interventions and a decarbonisation trajectory. Methods A hybrid carbon footprinting methodology was devised. Established carbon footprinting standards provided methodological guidance. A consulting firm with health service carbon accounting experience provided expertise, rigour and objectivity to the work. Results In the 2020-21 financial year, the carbon footprint of Mercy Health was 102.96k tCO2-e. Scope 1 emissions accounted for 11.07% (11.40k tCO2-e), followed by Scope 2 with 29.80% (30.68k tCO2-e) and Scope 3 with 59.13% (60.88k tCO2-e). The largest carbon impost group was Building energy (42.01%; 43.25k tCO2-e), followed by Food and catering (9.42%; 9.70k tCO2-e) and Business services (7.74%; 7.97k tCO2-e). Mercy Health's Health Services, Aged Care and Support Services divisions contributed 49.16, 47.81 and 3.03% (50.61k, 49.23k and 3.12k tCO2-e) of total greenhouse gas emissions respectively. Conclusions Mercy Health's Health Services division and Aged Care division each comprised around half of total organisation carbon emissions. Building energy dominated emissions, particularly electricity. The study discovered meaningful differences in the composition of carbon emissions in operational divisions of the organisation, indicating tailored interventions will be required to meet carbon abatement targets. The study demonstrates the benefit of conducting carbon footprinting within individual organisations, and the importance of studies within the Australian context.

Implementation of a risk-based OHS management system at IMC mining company

IMC mining company produces gold and silver. In mining operations that are carried out every day in the workplace, there must be dangers and risks. All these hazards are more related to the transport systems and transport used in the mining process. International mining company (IMC) underground mines definitely have operations division jobs with a high level of risk against work accidents, for example, maintenance of transport installations and the systems. Therefore, it is important to identify hazards, risk assessments, and determine the type of risk control in the section where work accidents are found. Hazard Identification and Risk Assessment Determining Control is a prevention program against fatal incidents. Risk Management at IMC is based on the Hazard Identification and Risk Assessment Determining Control (HIRADC) methodology which focuses on managing mining safety risks. This article aims to find out what the potential hazards and risks are contained in the work of the engineering and transport of underground mining division as well as provide preventive measures to reduce these risks.

The Analysis of the ISO 45001: 2018 Implementation Towards the Performance of Occupational Health and Safety Management System (OHSMS) at ABC Inc.

ABC Inc. is a company infield of total services for the palm oil mill industry, as a supplier of various instruments and equipment for factories and receives repair services for various palm oil mill instrumentations, such as boilers, hydraulic systems, heavy equipment, and generator sets. The company itself has been implemented and has been certified for ISO 45001: 2018. The purpose of this research was to identify how the impact of ISO 45001: 2018 implementation on the employees of. ABC Inc. in the technical operations division. Then, the fishbone diagram analysis method was used in this research to determine whether the process had been within the limits of statistical control and had been within the limits of specification or tolerance. In conclusion, there were obstacles to fulfilling the Occupational Health and Safety Management System (OHSMS) Process clause such as workers who did not fully have an awareness of the importance of running the company's OHSMS, lack of manpower in the HSQ/ISO department, and had not fully identified incidents, non-conformity and corrective actions for several company environments. Keywords: ISO 45001: 2018, OHSMS, Performance Analysis, Company, Employee

EFFECT OF TOXIC LEADERSHIP AND JOB STRESS ON TURNOVER INTENTION IN LOGISTIC COURIER BEKASI CITY

This study aimed to examine the effect of toxic leadership on turnover intention, toxic leadership on job stress, and job stress and turnover intention. These study populations are three logistics companies engaged in logistics in Bekasi. This study uses a non-probability purposive sampling technique. For a sample of 105 respondents from operational units in logistics courier companies, the determination is based on (Hair et al., 2017), but only 99 respondents complete questionnaires are considered usable. Data analysis using SEM with Smart PLS software. The results show a positive and significant direct relationship between toxic leadership and employee job stress, and there is a positive and significant direct relationship between work stress and turnover intention. Still, there is no negative relationship between toxic leadership and turnover intention. In addition, there are new findings in a study conducted on employees of the operational division of a logistics company located in the city of Bekasi. The higher application of toxic leadership by the leader to employees does not affect the intensity of turnover intention to be carried out by the employee. It is because the intention to move is felt by employees based on internal factors, namely work stress, not from the negative leadership style of their superiors. Further research is expected to use mediating variables with job satisfaction and physical work environment on turnover intention. It is also expected to be able to use qualitative methods for a better comparison of research results. It is also hoped that further research will be able to further refine this research by adding research subjects and other variables that might affect turnover intention so that further research can be more developed and varied and produce conclusions from more comprehensive research.

The Effect of Work Fatigue, Work Boredom, Workload and Work Stress on Cyberloafing At Pt. The Paradise of Indonesian Motorcycles Operational Section (Planet Tire) Semarang Residency (Plat H)

This study aims to determine the effect of work fatigue, work boredom, workload and work stress on cyberloafing on employees of PT. The Paradise of Indonesian Motorcycles for Operations (Planet Tires) Semarang Residency. This study used 133 respondents, the data collection process was carried out by distributing questionnaires using google from to employees of the operational division of Planet Ban. This research is using quantitative methods. The data collection method used a saturated sampling technique with a questionnaire. This research uses multiple linear regression analysis method with statistical test tools. Measurements in this study using a Likert scale and data processing in this study using the IBM SPSS 26 tool. The results of this study indicate that there is an influence between work fatigue and work boredom on cyberloafing. Workload and work stress have no effect on cyberloafing, and work fatigue, work boredom, workload and work stress affect cyberloafing simultaneously. The results of testing the coefficient of determination obtained the value of Adjusted R Square of 0.739 or 73.9%. This means that the Cyberloafing variable can be explained by the variables of work fatigue, work boredom, workload and work stress of 73.9%, while the remaining 0.261 or 26.1% is influenced by other variables not examined in this study.