DESIGN IMPLEMENTATION ANDON FOR PRODUCTION MONITORING SYSTEM BASED ON INTERNET OF THINGS

Each production requires a system monitoring, so efficiency that the desired and productivity can be achieved and monitored in real time. This system is needed in the type of press machine production which is mainly influenced by based production lead time. The monitoring process is one of the factors that influences the time of production and manufacturing. Conventionally, the system is monitoring carried out manually by the operator on a piece of paper. This method tends to create errors and quite a long time. This paper aims to overcome the problems that occur by creating a system that is able to record and monitor the machine automatically. The solution is made by utilizing a sensor limit switch, infrared, pressure transmitter and Wi-Fi network based on Web Interface that is connected to the Firebase real time database. Equipped with PID control using the Ziegler Nichols 1 method to stabilize wind pressure on the system. Monitoring devices can be accessed on PCs, laptops, smartphones, connected to the internet, equipped with user-level operators, management, or engineers so that they can be used easily. All production data for each press is collected in a database. The data will be processed by the system to produce a value OEE machine. All data will be displayed on the Web Interface in real-time. The system output is the actual production, value OEE and wind pressure control. The test results show the system is running well, with 2s delay time and data accuracy of ± 0.2%.

Locally Linear Embedding Orthogonal Projection to Latent Structure

Quality variables are measured much less frequently and usually with a significant time delay by comparison with the measurement of process variables. Monitoring process variables and their associated quality variables is essential undertaking as it can lead to potential hazards that may cause system shutdowns and thus possibly huge economic losses. Maximum correlation was extracted between quality variables and process variables by partial least squares analysis (PLS) (Kruger et al. 2001; Song et al. 2004; Li et al. 2010; Hu et al. 2013; Zhang et al. 2015).

Gender diversity in the boardroom

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings Firms can improve corporate performance by increasing the number of female representation in the boardroom. Potential exists for smaller firms to maximize their impact by holding more frequent board meetings to help enhance the monitoring process and safeguard against conflicts of interest arising. Originality/value The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

Hospitales sustentables: partidas críticas para su construcción y el rol de la inspección técnica

Currently, the public health infrastructure in Chile, at its different scales, has made important advances in determining sustainability design criteria. However, it is possible to see that, during its construction, there are no standardized verification processes on sustainability aspects, and that the work of technical inspection focuses on the administrative compliance of construction contracts, rather than on checking technical aspects. This research proposes a list of critical items and activities to supervise hospital construction, to guarantee sustainable criteria in their operation. A survey was also made to professionals involved in the design, construction, and supervision of hospital construction, ranking the results with a multi-criteria methodology (AHP), which showed a preference in the thermal envelope (20%) and thermal and ventilation installations (17%). Finally, based on the weaknesses stated by the professionals, a control and monitoring process of these items and activities is proposed, redesigning the work of the Worksite’ Technical Inspector.

Humanistic Approach in Supervision and Evaluation of Islamic Religious Education

Supervision and evaluation of Islamic Religious Education teachers are still experiencing obstacles so that supervision is less effective. One of them is caused by the low level of cooperativeness of teachers in the supervision process due to teachers feeling more senior and less communicative. So it needs the right approach so that the monitoring process runs effectively. This study aims to analyze the humanistic approach in the supervision and evaluation of PAI teachers at SMP Pangandaran Regency. The method used is qualitative with a case study approach. For data collection using interview and documentation techniques. Data analysis using miles and hubarman model. As well as the validity test using the credibility test with the triangulation method. The results showed that the supervision and evaluation by supervisors of PAI teachers in Pangandaran district junior high schools was carried out by: 1) Observing performance through academic supervision 2) Intensive guidance 3) Personal and group coaching 4) Development, direction to improve performance and career development 5 ) The assessment is submitted in the form of an academic supervision report. Supervision with a humanistic approach is carried out by adhering to three principles: 1) Opportunity, providing opportunities for improvement, 2) self evaluation, identifying deficiencies and exploring self-potential so as to improve teacher performance. 3) Upgrading, directing and facilitating teachers to improve competence and understand the development of information and technology.

Monitoring Information System of Covid-19 Cases in Dago, Bandung, Indonesia

The Orang Dalam Pengawasan (ODP) and Pasien Dalam Pegawasan (PDP) Covid-19 monitoring system in the Health Service task force in Dago area is a system that monitors and records people who are indicated to be affected by the Covid-19 disease. Orang dalam Pengawasan means “people under monitoring” in Bahasa Indonesia while Pasien dalam Pegawasan means “patients under surveillance”. To support the ODP and PDP Covid-19 monitoring system, an application is needed that can assist in the monitoring process in the Health Office task force in the Dago area through the utilization of Android-based technology. This research aims to help the task force not be late in reporting the number of ODP and PDP to the Government of West Java Province. Moreover, it also aims to avoid differences for data between the public health center and the Health Service task force in the Dago area so that the results of this study are in the form of information about the total findings and monitoring of ODP and PDP Covid-19 every day through the Android application. This research used a descriptive qualitative method. The results show that the application could help the task force in reporting the number of ODP and PDP to West Java Province. In the ongoing system, when carrying out the monitoring process, the task force always contacts the health centers in Dago via telephone or WhatsApp for the data collection and reporting process to not be well computerized. It causes delays in reporting data to West Java Province. Problems also occurred with the amount of data due to the absence of a data closing system, which resulted in reports on the number of daily ODP and PDP Covid-19 data that were always differences between the public health center and the Health Office. In conclusion, this information system could help the reporting process.

nalysis of Impact of Alcohol on Brain's Activity

Electroencephalography is an electrophysiological monitoring process to capture electrical activity on the scalp that has been shown to represent the macroscopic activity of the surface layer of the brain underneath. It is typically non-invasive, with the electrodes placed along the scalp. Computer programs in different programming language such as MATLAB, Python are used to simulate and study brain signals. This thesis focuses on utilizing Python, an open-source programming language to understand the impact of alcohol on one’s memory and attention and comparing them with non-alcoholic brain. To carry out this research, we are using open-source EEG data collected from alcoholic and non-alcoholic subjects subjected to visual stimuli. Experiments are carried out to observe spatial patterns related to both groups' brain activity and their association with different region of brain such as memory, attention, somatosensory, and emotional regulation regions. Besides the spatial pattern, we are also focusing to find source signals and their association with respect to attention region to understand the impact of alcohol on one’s attention function. Finally, the optimal sources based on optimal alpha and gamma rhythms are estimated. For these optimal source channels, we estimated time-frequency based spectrogram to understand the association of other band powers for both groups. Beta power activities from these spectrograms are analyzed for both groups to understand attention-deficit caused by alcohol consumption. By analyzing the results from the experiments can help us understand the impact of alcohol on one's brain's activity.

Urban Regeneration: Construction of Factor model

Urban regeneration decision-making is a complex process, as it involves a wide range of decision-makers, public-private partnerships in finance and implementation, including the inevitable considerable amount of risk on a long-term basis. There are a multitude of stakeholders, the citizens being the key stakeholders. It is necessary to involve the citizens in the planning process. Such involvement allows the communities to express their needs and aspirations, which is useful in the policymaking, delivery of planning programs, and in the monitoring process. In such a context, Factor analysis was the statistical technique used (1) Carry out factor analysis based on the principal component analysis method using the software XLSTAT 2021.4.1.1205 - (2) Construct a factor model of Urban Regeneration. (3) Interpret and label the factor dimensions. The results of the analysis indicated that the first two principal components accounted for 60.04% of the total variance of the original dataset. All variables seemed to be, positively correlated to each other and contributed similarly to principal components PC1 &PC2. The observations were well clustered; except for very few outliers. The limitation of the work was that the perceptions of the citizens were limited to the variables derived by the researcher.