BASE SINGLE PART PRODUCT QUALITY CONTROL USING STATISTICAL QUALITY CONTROL (SQC) METHOD IN PT DIRGANTARA INDONESIA MACHINING DEPARTMENT

Base Single Part is the main component of the cable installation that functions as a connector between cables in the aircraft. As a critical part, the Base Single Part is the most important sub-component that must be completed to be installed in the aircraft part. Base Single Part is a part that is used in all types of aircraft which are specially produced at PT. Dirgantara Indonesia, in one aircraft this component can be installed in the amount of 8000-9000 Base Single Part. In relation to the request from the Final Assembly Line section regarding the request for the Base Single Part component, there are still some products that do not meet the specifications so that they have to be repaired, such as holes that do not match the size, this causes the delivery order process to the Final Assembly Line section to be hampered and disruptive smooth production. The purpose of this research is to control the quality of the Base Single Part product by using a p control chart, and a causal diagram.The results of the study conclude that the calculation of the percentage level of defect in the Base Single Part component using the p control chart, there are 3 percentage points that are outside the control limit, namely in August with a disability percentage of 15.11%, in September 10.32%, and October 15.60%. Factors causing defects in Base Single Part components consist of 3 factors, human factors, method factors and machine factors. The human factor is workers who are less productive. Furthermore, the method factor is regarding the fluctuating production schedule and the last cause is the machine factor that lacks maintenance.

Use of selected types of crime analysis in modern criminological science

The article considers methods of analysis of criminological significant information, which are used in modern criminological science. Based on the analytical study, it was concluded that at the current stage of the development of criminological science, regression (as a type of mathematical method), factor (causal), and monitoring criminological analysis are most often used. These methods of criminological analysis were analyzed, their advantages and disadvantages were determined, their recommendations for their application in criminological science were given. It was established that the use of regression analysis is not found in many criminological studies, but today this direction has been updated due to the increase in crime rates both in Ukraine and in the world. However, in criminology, this direction is now one of the promising in the formation of crime prevention measures. It has been proved that most often this type of criminological analysis is used as monitoring. It is quite often used in criminological research by analyzing statistical reporting, which is publicly available to law enforcement agencies (in particular, on the official website of the Office of the Prosecutor General). In this regard, science identifies types of monitoring analysis, which is most often used in our country.

Analysis of influencing factors of data error in chemical analysis of iron and steel materials

This paper analyzes the influencing factors of data error in chemical analysis of iron and steel materials, including sample preparation factor, sample decomposition factor, analytical instrument factor, reagent factor, analysis method factor. The purpose is to reduce the error of data measurement results and improve the accuracy of data analysis results by studying the measures of eliminating instrument application error, doing a good job in reagent selection, appropriately increasing the number of experiments, strictly following the operation specifications and reasonably using the allowable deviation table.

ANALISIS FAKTOR YANG MEMPENGARUHI PENGOLAHAN LIMBAH KAKAO MENJADI PAKAN TERNAK DI PT BERAU COCOA, KALIMANTAN TIMUR

Waste is the residual product from an industrial process and the household, useless, no economic value and is a serious problem in the industrial era 4.0, where regulations on environmentally friendly industrialization are an important issue. Primary industries such as sugar cane, oil palm, cocoa produce a lot of wastes during the pre-harvest period such as leaves and three litters, and in the post-harvest period such as pulp, fruit skins, and fruit pulp. PT Berau Cocoa processes cocoa skin waste into animal feed which is applied to cattle in Binungan. This research uses a descriptive research method and how to teach data by distributing 50 questionnaires to cocoa farmers. The results of data analysis show the fact that most cocoa farmers are male of 38 peoples (76%), high school education level of 33 peoples (82%), joined along 4-6 years as 45 peoples (90 %), all respondents are married, and own private land. Supporting factors that influence the processing of cocoa waste into animal feed can be seen from the average value of each factor, method factor (0.596), material factor (0.512), human factor (0.416), and money factors (0.404), and the lowest average is the engine factor (0.312).

The Structure of the Toronto Alexithymia Scale (TAS-20): A Meta-Analytic Confirmatory Factor Analysis

Alexithymia is defined as the inability of persons to describe their emotional states, to identify the feelings of others, and a utilitarian type of thinking. The most popular instrument to assess alexithymia is the Toronto Alexithymia Scale (TAS-20). Despite its widespread use, an ongoing controversy pertains to its internal structure. The TAS-20 was originally constructed to capture three different factors, but several studies suggested different factor solutions, including bifactor models and models with a method factor for the reversely keyed items. The present study examined the dimensionality of the TAS-20 using summary data of 88 samples from 62 studies (total N = 69,722) with meta-analytic structural equation modeling. We found support for the originally proposed three-dimensional solution, whereas more complex models produced inconsistent factor loadings. Because a major source of misfit stems from translated versions, the results are discussed with respect to generalizations across languages and cultural contexts.

Blockchain Equity System Transaction Method and System Research Based on Machine Learning and Big Data Algorithm

With the development of machine learning and big data, traditional equity trading system methods can no longer meet the current trading needs, and there are still problems such as low operating efficiency and serious homogeneity. Blockchain technology has the characteristics of decentralization and can also complete transactions through smart contracts, innovating the way of equity system transactions. The purpose of this paper is to build an equity trading system in combination with blockchain in the context of machine learning and big data and provide innovative trading methods, so as to provide reference and reference significance for the construction of my country’s equity market. This article uses literature data method, comparative analysis method, factor analysis method, and other methods to carry out research, in-depth study of machine learning and big data, blockchain-related concepts, system composition, application situation, etc., and discusses the allocation of equity trading market The functions of resources, risk diversification, risk transfer, price determination, etc., have built a blockchain equity trading system, designed a consensus mechanism, block generation protocol, block verification, decentralization, and smart contract platform, and finally conducted a national equity transaction the background of the market is analyzed, and the experimental results, simulation indicators, transaction time, transmission consumption, and other content of the system constructed in this article are analyzed. In the single-node test, the CPU usage of the PoW consensus mechanism algorithm reached 100%, but the improved PBFT consensus mechanism was only 16%, which saved a lot of computing power and improved computing performance.

Designing and validating an evaluation inventory for assessing teachers’ professional accountability

Research has already established the boundless potential of teachers in assisting effective learning processes, and there is still a need to expand research to illustrate interrelation and connection between the construct of teachers’ professional accountability which moderates and directs student learning. To this end, a comprehensive review of the literature was conducted by the researchers to explore and extract relevant theoretical constructs to teacher accountability. A literature review was followed by structured interviews with 20 administrators, teachers, students, and parents to record perceived concepts related to teacher accountability. Content analysis of recorded interviews and thematic network analysis of literature resulted in a 30-item Likert scale. The researcher-made questionnaire was subject to reliability and validity issues. Thus, in the second phase, the questionnaire was piloted with 142 male and female EFL in-service teachers selected on the basis of the convenient sampling method. Factor analysis on data collected through this reduced the items to 29 and indicated that data on teacher accountability loaded on five components including accountability towards students (N: 7 items), parents (N: 5 items), school leadership (N: 5 items), society (N: 7 items), and the profession (N: 5 items). The results also indicated that the questionnaire enjoys sound psychometric properties of reliability (α: 0.88 ˂0.5). The upshots of this study could provide a better understanding of the concept and lead teachers to be more coherent and accountable.

Pengaruh Campuran dan Rasio Bahan Pembentuk Komposit terhadap Karakteristik Komposit Bioplastik

This research aims to determine the effect of the mixture and the ratio of the composites and their interactions to the characteristics of the bioplastic composites and to determine the mix and ratio of the composites that produce the best characteristics of the bioplastic composites. The experimental design of this study used a randomized block design method. Factor I is a mixture of composite materials consisting of maizena-glucomannan, maizena-chitosan, and maizena-carrageenan. The second factor is the ratio of the composite material mixture which consists of 5 levels, namely 100: 0, 75:25, 50:50, 25:75 and 0: 100. The experiment resulted in 15 treatment combinations and were grouped into 2 groups when the process of making bioplastic composites was obtained, so that 30 experimental units were obtained. Data were analyzed for their diversity and continued with Duncan's multiple comparison test. The observed variables which tensile strength, elongation at break, modulus young, swelling, and biodegradation time. The results showed that the mixture and the ratio of the composites forming a very significant effect on tensile strength, elongation at break, elasticity, and swelling. The interaction has a very significant effect on tensile strength, elasticity and swelling and significantly affects the elongation at break of bioplastic composites. Meanwhile, the mixture and the ratio of the ingredients to form the composites had no significant effect on the biodegradation time. Maizena:glucomannan composite with ratio (25:75) produced the best characteristics of bioplastic composites with tensile strength values of 6.99 MPa, elongation at break of 16.5%, elasticity 42.39 MPa, swelling 78.78% and biodegradable time of 7 days. There are 2 variables that have met the standard, namely: elongation at break of bioplastic composites that meet the plastic Standard SNI 7188.7: 2016 and biodegradation time has met the international plastic standard ASTM 5336 and 3 variables that do not meet the standards, namely: Tensile strength (6,99 MPa) and elasticity (42,39 MPa) do not meet the Plastic Standard SNI 7188.7: 2016 and swelling (39,1%) does not meet international plastic standards (EN 317). Keywords : bioplastic composites, maizena, glucomannan, chitosan, carrageenan

The Structure of the Toronto Alexithymia Scale (TAS-20): A Meta-Analytic Confirmatory Factor Analysis

Alexithymia is defined as the inability of persons to describe their emotional states, to identify the feelings of others, and a utilitarian type of thinking. The most popular instrument to assess alexithymia is the Toronto Alexithymia Scale (TAS-20). Despite its widespread use, an ongoing controversy pertains to its internal structure. The TAS-20 was originally constructed to capture three different factors, but several studies suggested different factor solutions including bifactor models and models with a method factor for the reversely keyed items. The present study examined the dimensionality of the TAS-20 using summary data of 88 samples from 62 studies (total N = 69,722) with meta-analytic structural equation modeling. We found support for the originally proposed three-dimensional solution, whereas more complex models produced inconsistent factor loadings. Because a major source of misfit stems from translated versions, the results are discussed with respect to generalizations across languages and cultural contexts.

Pengaruh Jenis dan Konsentrasi Bahan Pemlastis terhadap Bioplastik Glukomanan

This research aims to determine the effect of plasticizer types and concentrations on the characteristics of glucomannan bioplastics, and to determine the types and concentrations of plasticizers that can produce glucomannan bioplastics with the best characteristics. This experimental design used a completely randomized design method. Factor I is a type of plasticizer consisting of glycerol, sorbitol, propanol-2, and polyethylene glycol. The second factor is the concentration of plasticizers which consists of 4 levels, namely 0.5%: 1.5%: 2.5%: 3.5%. The experiment resulted in 16 treatment combinations and grouped into 2 groups to obtain 32 experimental units. The data were analyzed for their diversity and continued with the Duncan multiple comparison test. The results showed that the type and concentration of plasticizers had a very significant effect on tensile strength, elongation at break, modulus young, and swelling. The interaction has a very significant effect on tensile strength and expansion and has a significant effect on the elasticity of glucomannan bioplastics. Meanwhile, the type and concentration of plasticizers had no significant effect on the length of biodegradation. The best glucomannan bioplastic was obtained in the treatment of glycerol plasticizers with a concentration of 1.5 % with a tensile strength value of 6.17 MPa, elongation at break of 21.50 %, elasticity 28.72 MPa development 25.84 %, and degradation time of 8 days. Bioplastics produced in this study have meet the SNI 7188.7:2016 standards in the elongation test at break and standards ASTM 5336 in the degradation time variables. The resulting bioplastic has not met SNI on the tensile strength, modulus young, and swelling variables. Keywords : bioplastic, glucomannan, glycerol, polyethylene glycol, propanol-2, sorbitol