Decision Making to Choose Communication Network System for Teleremote Dozer Operation Using Analytic Hierarchy Process

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One type of heavy equipment is a mining material pushing tool called a dozer. Dozers generally work in areas near cliffs that are prone to landslides, where these areas can be classified as dangerous areas. New technology is needed to increase the safety of dozer operators from the threat of danger when operating a dozer. Teleremote dozers are one method that can reduce the risk of accidents that can happen to dozer operators. Instead of operating the dozer from inside the cabin, the operator operates the dozer via a remote control device.

There is an important aspect in operating a teleremote dozer, namely the need for a signal that will transmit data and commands from the remote control to the dozer unit operating in the field. Good and uninterrupted signal quality is the main key to good teleremote dozer operations with minimal risk.

The wireless signal network system currently used by companies will enter its obsolete period. However, the old system was tough and not easily damaged. There are strategic options for supporting the signal network for teleremote dozer operations: maintaining the old network system, replacing it with a new one, or using the old and new systems in a hybrid manner. Because there will only be one strategy chosen, a decision must be made. The SWOT AHP method is used for decision making regarding the strategy to be taken. The results of the AHP SWOT will produce a strategy, which will become a benchmark for making subsequent alternatives. Determining alternative types of network systems to support teleremote dozer operations will use the AHP method.

Investigating the Correlation between Frustration and Values with an Emphasis on Gender

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This research paper investigates the correlation between individuals’ reactions to frustration and their values, with an emphasis on sex differences. Frustration is an arbitrary emotional response to obstacles or unmet expectations, although social values carry beliefs and principles that guide behavior within a societal context. Getting a gist of how sex influences these aspects can shed light on societal dynamics and inform interventions aimed at promoting psychological well-being and social harmony. The study undergoes a quantitative approach to the data, through different scales using SPSS to analyze data and gather comprehensive insights. Results reveal new patterns in how individuals of different genders perceive and respond to frustration in relation to their value system, Enlightening the need for gender-sensitive works in addressing emotional regulation and socialization processes.

Remaining Life Assessment of Kotabaru 2×7 MW Coal Fired Power Plant Circulating Water A252 Gr 2 Intake Pipe by Inspection Method

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Kotabaru power plant is a power plant that was built in 2010 and currently the construction work is pending. The construction work stopped in 2014 and based on Kotabaru power plant construction final quantity report, Kotabaru construction work progress is 79,61% up to now. Kotabaru power plant uses open cooling system and takes seawater as cooling water resources. The seawater distribute through intake pipeline which use A252 grade 2 material 600 mm and 800 mm diameter pipeline with 3PL coating and rubber lining inside the pipe. The pipeline distribute the water in 3.184.739 kg/hr flow rate and 5 kg/cm2 G pressure. These pipeline material was on site in 2013 and it was not constructed yet. In 2022 Kotabaru power plant is planned to continue the construction work progress. It was about 9 years of pipeline material on Kotabaru power plant site and these pipeline is exposed to the environment such as sunlight, temperature, oxygen, water, and contaminants and cause a primer failure, especially ultraviolet light (UV) from the sunlight is the main damaging factor. Ultraviolet light from sunlight is high enough to break the coating of pipeline. Inspection and assess the pipeline can help the management to figure out pipeline actual condition. More effective inspections can reduce the risk level by reducing the frequency of future failures, through corrective and preventive action. In general, the purpose of this method is classify all risk level equipment, calculate the risk value of all equipment and it can help to make a decision to the next construction period. The service lifetime of pipeline prediction can be determined by actual pipe condition by use corrosion test and actual thickness dimension of the pipeline. This method will inform the life time prediction of the pipeline that should be meet the 15 years life time required and also inform the risk matrix value of all pipeline equipment on the site.

Predictive Analysis for Personalized Machine: Leveraging Patient Data for Enhanced Healthcare

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This research explores predictive analysis for personalized machine: leveraging patient data for enhanced healthcare. By leveraging the power of information and analytics, the healthcare industry can be driven towards a more patient-centric, proactive model that enhances outcomes and improve the overall quality of care. The objectives of the study are to: determine the significance and challenges of predictive analytics in healthcare, ascertain the data analytics techniques used in healthcare to enhance patient care, find out how predictive analytics can be applied for enhanced healthcare, and determine the ethical considerations associated with healthcare predictive analytics. This study employs the case study approach and experimental design. The study analyzes case studies of real-time deployment of predictive analytics models in healthcare centers, examines how these models enhance the healthcare delivery in those centers. Experiments were also conducted to understand how predictive analytics works. The C4.5 learning algorithm was employed to predict the presence of chronic kidney disease (CKD) in patients and differentiate between those not affected by the condition. The C4.5 classifier shows reasonable strength, evident in the large number of rightly classified occurrences (396) and a low misclassification of only 4 occurrences. This is further demonstrated by a low error rate of 0.37, as shown in table 5. The prevalence of this algorithm is emphasized by the large value of KS (0.97), indicating the classifier’s ground-breaking accuracy and performance. The performance of C4.5, featured by its minimal execution time and accuracy, puts it as a decent classifier. This characteristic makes it specifically well-suited for application in the healthcare sector, particularly for tasks involving prediction and classification. The application of data analytics methods for predictive analysis holds significant benefits in the health sector, as it gives us the power to predict and address potential threats to human health, covering different age groups, from the young ones to the elderly. This proactive method enables early disease detection, helping in timely interventions and contributing to better decision-making.

 

Leveraging Electronic Health Records (EHR) for Enhanced Patient Care

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This study analyzes how electronic health records (EHR) can be utilized to enhance patient care. The objectives of the study are to; design predictive models to recognize patients are risk of developing some specific conditions; evaluate the effect of EHR systems on patient care outcomes; ascertain the impact of EHR systems on physicians’ work; and develop a framework for incorporating EHR analysis into hospital systems, thus enabling real-time decision-making by healthcare specialists. This study adopts a qualitative research using semi-structured interviews, which was directed to physicians who had at least a year experience at Primary Health Care Centres (PHCs) to gather information about the current content and scope of Electronic Health Record Systems. Most of the respondents interviewed said that the health information system’s adaptation and the availability of Electronic Health Records influenced encounters for patients positively in their PHCs. They talked about the many benefits of EHR in terms of effectiveness, which include the availability of patient information and accuracy of patient documentation; these are often hard to find in their paper documents. The interviewees also indicated that EHRs allow eprescribe of medication, which is a huge plus to the old system of prescribing and administering medicine to patients. The physicians stressed the need for private clinics and primary healthcare centres to share and link their systems to enhance the functionality of the EHR. The study recommends that; there is need for the PHC EHR system to integrate across other government and private institutions. There is also a need for increased capacity to support patients with physical activity and nutrition.

The Effect of Digital Literacy and Printed Books on Student Learning Outcomes in Elementary School Gugus 2 Tlanakan Indonesia

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This study aims to (1) analyse the effect of digital literacy and printed books on student learning outcomes in the area of Gugus 2 Tlanakan Sub-district, Pamekasan Regency. (2) To analyse the effect of digital literacy on student learning outcomes in the area of Gugus 2 Tlanakan Sub-district, Pamekasan Regency. (3) To analyse the effect of printed books on student learning outcomes in the area of Gugus 2 Tlanakan sub-district, Pamekasan regency. The research method used is a descriptive method with a quantitative approach. The results of the analysis show that there is (1) an influence of digital literacy and the use of printed books on the learning outcomes of elementary school students in Elementary School Gugus 2 Tlanakan Sub-district, Pamekasan Regency. (2) There is an influence of digital literacy on the learning outcomes of primary school students in Elementary School Gugus 2 Tlanakan Sub-district, Pamekasan Regency. (3) There is an effect of using printed books on the learning outcomes of primary school students in Elementary School Gugus 2 Tlanakan Sub-district, Pamekasan Regency. This study concludes that there is an effect of digital literacy and the use of printed books on the learning outcomes of primary school students in Elementary School Gugus 2 Tlanakan Sub-district, Pamekasan Regency. There is an effect of digital literacy on the learning outcomes of primary school students in Elementary School Gugus 2 Tlanakan Sub-district, Pamekasan Regency. There is an effect of using printed books on the learning outcomes of primary school students at Elementary School Gugus 2, Tlanakan sub-district, Pamekasan Regency.

The Role of Relationship between Money Supply and Exports in the Context of Economic Development through Increasing the Resilience of Foreign Exchange Reserves: Evidence from Selected Asian Countries

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The importance of building foreign exchange reserve performance is the main requirement in safeguarding the economy in the global order from potential risks and threats originating from the external sector. This has become an important discussion in recent times, but several previous studies have not answered the urgency in building sustainable economic resilience, especially in countries that have economic experience with economic shocks caused by potential risks originating from the external sector. Ordinary-Least Square (OLS) analysis chosen to prove impact of financial stability and international trade on the growth and resilience of foreign exchange reserves as external liquidity for several countries in Asia during 1990 – 2020.

The results of this research show that in the long term, both the money supply variable and exports as an independent variable have a positive and significant influence in increasing the resilience of the external liquidity performance of selected Southeast Asian countries. Our policy recommendations emphasize the importance of maintaining the resilience of foreign exchange reserves as external liquidity in order to increase economic resilience in the global economic arena. The government should provide the main focus in increasing policies by increasing the role of the external sector itself through international cooperation.

Needs Analysis for University EFL Learners Majoring in Business English: A Scoping Review of Research and Practice

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In the context of international economic integration, Business English (BE) has played an increasingly significant role in business settings because BE is considered as a global communicative means, helping business transactions happen effectively among economies all over the world. In Vietnam, BE has been used more and more in trade transactions because Vietnam’s economy has explosively developed and Vietnam has expanded its international trade relations over the last ten years. The aim of the paper is to analyze and synthesize the needs analysis for EFL learners majoring in Business English globally. The results of the paper help higher education in Vietnam see the importance of needs analysis in ESP, needs analysis approaches, theoretical frameworks including target situation analysis (TSA), present situation analysis (PSA), learning situation analysis (LSA), then evaluate existing materials or coursebooks and adapt to create better universities’ curricula to meet the linguistic requirements in the workplaces in Vietnam.

Treatment of Diesel-Contaminated Soil by Bioaugmented Composting with Bacteria from the Larva Tenebrio Molitor

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In this study, soil composting and bioaugmentation processes were combined to remediate diesel-contaminated soil. Deciduous corn flour, wheat bran, and sawdust were used as co-substrates for soil composting. In addition, consortia of bacteria from the inner tract of the Tenebrio molitor larva were isolated and selected for the bioaugmentation of the composting reactors. It was observed that the isolated inoculum enhanced the treatment and combined with deciduous corn flour, a higher efficiency (87%) and a better removal rate (9.10% diesel removed/week) were registered. In soils with a concentration of 11,796 mg diesel/kg, this combined treatment reduced, in 10 weeks, the pollutant to values below the maximum permissible limits in soils stated by Mexican regulations.

Awareness and Appreciation of Local Cultural Heritage of Surigao City

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As societies become increasingly interconnected, there is a growing need to recognize and celebrate the unique identities embedded in local traditions, customs, and artifacts. This study aimed to identify the level of awareness and appreciation of the local cultural heritage of the senior high school students of St. Paul University Surigao. This study applied the quantitative research design employing a descriptive survey technique with 272 participants. The main instrument employed in gathering the necessary data was the researcher-made questionnaire. The gathered data were treated using sample percentage, mean and standard deviation, and Pearson product-moment correlation coefficient (PPMCC). The results showed that there is a significant relationship between students’ awareness of local history and their appreciation for local cultural heritage in Surigao, and there is a positive correlation. The results of this research may provide fundamental information and a framework for future researchers doing thorough investigations that have similarities to this study.