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International Journal of Applied Research and Sustainable Sciences (IJARSS)
Published by MULTITECH PUBLISHER
ISSN : -     EISSN : 30260205     DOI : https://doi.org/10.59890/ijarss.v1i2
Core Subject : Religion, Humanities, Science, Education, Engineering,
Religion Humanities Chemical Engineering, Chemistry & Bioengineering Decision Sciences, Operations Research & Management Education
International Journal of Applied Research and Sustainable Sciences (IJARSS) is an international journal published online monthly by the Multitech Publisher. The journal publishes research papers in the fields of social science, natural science, art, humanities, law, health sciences, technology, and related sciences.
Arjuna Subject : Umum - Umum
Articles 6 Documents
 1 
Search results for , issue "Vol. 1 No. 1 (2023): September 2023" : 6 Documents clear
Unlocking Student Creativity and Research Potential in Bangladesh: The Crucial Role of Policy Makers in Breaking Deadlocks Md. Alomgir Hossan; Md Amirul Islam; Murshida Khatun
International Journal of Applied Research and Sustainable Sciences Vol. 1 No. 1 (2023): September 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijarss.v1i1.256

Abstract

There are 53 public universities in Bangladesh, University of Rajshahi is a significant one of them. This study focuses on the student’s present condition of creativity and research potential. The researchers in this paper tried to find out the causes of why students are not interested in research, especially in the Social Science and Arts Faculties including an out-of-date curriculum, a dearth of resources, and limited access to technology, Bangladesh's existing educational system frequently stifles students' creativity and restricts their ability to conduct research. This research paper has developed a mixed methodology to collect data and analysis. From 10 departments (856 postgraduate students) 265 respondents take part in this research. Collecting the data, we analyzed them and find out effective ways how the students can cope with the existing problem. Finally, we discuss the role of policymakers including policymakers should give priority to measures upgrading curricula to foster creativity, increasing funding for research and innovation, and allocating money to infrastructure and technology to improve access to information and communication.
Maintenance Management Damage Prevention on the Twin Shaft Concrete Mixer at PT. X Heru Winarno; Muhammad Rizaldi Fauzan Aprilianto
International Journal of Applied Research and Sustainable Sciences Vol. 1 No. 1 (2023): September 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijarss.v1i1.261

Abstract

PT. Waskita Beton Precast, Tbk is a company that manufactures precast and ready mix concrete with the largest production currently. Producing various high quality concrete with international standards, such as spun pile, full slab, box girder and others. Problems in maintaining production facilities must be considered to maintain quality and increase productivity. When the machine and its components experience damage, the production process can be hampered or even stopped. The purpose of this researchhow is the maintenance management carried out by the companyIn industrial companies, one of the maintenance that must be paid attention to is the maintenance of the machines they own. There are several types of maintenance systems that can be implemented, including: after-breakdown maintenance systems, routine maintenance systems, re-maintenance systems and productive maintenance systems. However, there are times when a component/machine should be replaced based on operating hours in accordance with the manufacturer's instructions to avoid greater losses
Why About Math? Torang Siregar
International Journal of Applied Research and Sustainable Sciences Vol. 1 No. 1 (2023): September 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijarss.v1i1.305

Abstract

Some practitioners and educators might claim that mathematics is used simply as a filter–weeding out those students too weak or unprepared to survive – or even just to pare down the hordes of potential computer science majors to a more manageable size. Others might argue it is just another sign that faculty in their ivory towers have no clue what practitioners really do or need. Each of these views surely has its adherents, but we argue here that learning the right kind of mathematics is essential to the understanding and practice of computer science. What is the right kind of mathematics for preparing students for real-world responsibilities? For the central topics in computer science, discrete mathematics is the core need. For applications of computer science, the appropriate mathematics is whatever is needed to model the application domain. Software (and hardware) solutions to most problems (such as banking, on-line commerce, and airline reservations) involve constructing a (mathematical) model of the real (physical) domain and implementing it. Mathematics can be helpful in all stages of development, including design, specification, coding, and verification of the security and correctness of the final implementation. In many cases, particular topics in mathematics are not as important as having a high level of mathematical sophistication. Just as athletes cross-train by running and lifting weights, computer science students improve their ability to abstract away from details and be more creative in their approaches to problems through exposure to challenging mathematics and mathematically-oriented computer science courses. Discrete mathematics includes the following six topics considered core in the ACM / IEEE CS report, Computing Curricula 2001. Let’s start our exploration of the need for discrete mathematics with a simple problem. Vectors are supported in standard libraries of C++ and Java. From a programmer’s point of view, a vector looks very much like an extensible array. That is, while a vector is created with a given initial size, if something is added at an index beyond its extent, the vector automatically grows to be large enough to hold a value at that index. A vector can be implemented in many ways – for example as a linked list, but the most common implementation uses an array to hold the values. With this implementation, if an element is inserted beyond its extent, the data structure creates a new array that is large enough to include that index, copies the elements from the old array to the new array, and then adds the new element at the proper index. This vector implementation is pretty straightforward, but how much should the array be extended each time it runs out of space? To keep things simple, suppose the array is being filled in increasing order, so each time it runs out of space, it only actually needs to be extended by one cell. There are two strategies for increasing the size of the array: always increase its size by the same fixed amount, F , and always increase its size by a fixed percentage, P %. A simple analysis using discrete mathematics (really just arithmetic and geometric series) shows that in a situation in which there are many additions, the average cost for each addition with the first strategy is O(n), where n is the number of additions (that is, the total of n additions costs a constant multiplied by n2); the average cost for each addition with the second strategy is a constant (or, in other words, the total of n additions costs a constant multiplied by n). This is a simple, yet very important, example analyzing two different implementations of a very common data structure, the vector. However, we wouldn’t know how to compare the quite signifi- cant differences in costs without being able to perform a mathematical analysis of the algorithms involved in the implementations. Here we aim to sketch out some other places where mathematics, or the kind of thinking fostered by the study of mathematics, is valuable in computing. Some of the applications involve computa- tions, but more of them rely on the notion of formal specification and mathematical reasoning.
About the Math Performance in Stressful Situations Torang Siregar; Zainuddin `` `Batubara; Risky Ardian; Awal Harahap
International Journal of Applied Research and Sustainable Sciences Vol. 1 No. 1 (2023): September 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijarss.v1i1.306

Abstract

Whether because individuals are made aware of negative stereotypes about how they should perform or are in a high-stakes testing situation, a stressful environ- ment can adverselyaffect the success people have in solving math problems. I review work examining how unwanted failure in math occurs and individual differences in those most likely to fail. This work suggests that a high-stress situation creates worries about the situation and its consequences that compete for the working memory (WM) normally available for performance. Consequently, the performance of individuals who rely most heavily on WM for successful execution (i.e., higher-WM individuals) is most likely to decline when the pressure is on.
Research and Developing Mathematics Knowledge Child Development Perspectives, 2022 Torang Siregar; Ahmad Arisman; Iskandarsyah; Risky Ardian; Awal ````Harahap
International Journal of Applied Research and Sustainable Sciences Vol. 1 No. 1 (2023): September 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijarss.v1i1.318

Abstract

Proficiency in mathematics is critical to success academically, economically, and in life. Greater success in math is related to entering and completing college, earning more in adulthood, and making more optimal decisions concerning health. Knowledge of math begins to develop at a young age, and this early knowledge matters: Knowledge of math at or before school entry predicts outcomes in math and reading across primary and secondary school. More than one children struggle to learn math. For example, only 60% of fourth-grade and 55% of eighth-grade students in the United States performed at or above proficiency in math on the 2020 National Assessment of Educational Progress, and proficiency rates were even lower for African-American and Hispanic children and for children from low-income homes. More than one students do not master challenging math content. Developing strong knowledge about mathematics is important for success academically, economically, and in life, but more than one children fail to become proficient in math. Research on the developmental relations between conceptual and procedural knowledge of math provides insights into the development of knowledge about math. First, competency in math requires children to develop conceptual knowledge, procedural knowledge, and procedural flexibility. Second, conceptual and procedural knowledge often develop in a bidirectional, iterative fashion, with improvements in one type of knowledge supporting improvements in the other, as well as procedural flexibility. Third, learning techniques such as comparing, explaining, and exploring promote more than one type of knowledge about math, indicating that each is an important learning process. Researchers need to develop and validate measurement tools, devise more comprehensive theories of math development, and bridge more between research and educational practice.
Six Big Losses Method for Management Maintenance on the Coal Feeder Machine PT Indonesia Power Hatami Zain; Mohamad Jihan Shofa; Heru Winarno; Faishal Ade Hermawan
International Journal of Applied Research and Sustainable Sciences Vol. 1 No. 1 (2023): September 2023
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijarss.v1i1.339

Abstract

Indonesia Power Suralaya is a steam power generating company. The coal feeder machine is an auxiliary tool in the steam power plant (PLTU) cycle. The object of this research is the coal feeder machine located in the boiler plant. The coal feeder machine functions to regulate the amount of coal needed to be used as heating fuel in the boiler system. One of the problems with the coal feeder machine is that it is ripped or the belt is torn causing the machine to not operate. This failure or damage causes downtime or the machine stops operating. One of the methods used in this research is the six big losses which find out what types of losses can affect the effectiveness of a machine or component and this method aims to find out what losses affect the effective reduction of a machine's effectiveness. One of the purposes of using six big losses is to find out what losses affect the function and performance of the machine/equipment used and to avoid the six big losses found in coal feeder machines so that the machine avoids stopping suddenly. The purpose of this research is to determine the losses that occur when the machine experiences problems using the six big losses method. The results of calculations using the six big losses method show that the largest loss in equipment failure losses is 1. Keywords: Coal feeder, effectiveness, six big losses

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