scholarly journals Pengaruh Motivasi Dan Disiplin Kerja Terhadap Kinerja Karyawan PT. Mega Finance Kantor Pusat Jakarta Selatan

2021 ◽  
Vol 3 (4) ◽  
pp. 522
Author(s):  
Priehadi Dhasa Eka
Keyword(s):  
Error Level

Penelitian ini bertujuan untuk mengetahui bagaimana pengaruh motivasi dan disiplin kerja terhadap kinerja karyawan PT. Mega Finance Kantor Pusat Jakarta Selatan. Metode yang digunakan dalam metode ini adalah pendekatan kuantitatif, pengambilan sampel    menggunakan teknik slovin dengan error level sebesar 0,10 dengan begitu didapat 68 responden, Hasil  penelitian  secara parsial menunjukkan  bahwa motivasi berpengaruh positif dan signifikan terhadap kinerja karyawan PT. Mega Finance Kantor Pusat Jakarta Selatan dengan nilai thitung > ttabel atau (2,625 > 1,997) dan disiplin kerja juga berpengaruh positif dan signifikan terhadap kinerja karyawan PT. Mega Finance Kantor Pusat Jakarta Selatan dengan nilai thitung > ttabel atau (12,483 > 1,997). Motivasi  dan  disiplin  kerja  secara  simultan  berpengaruh  signifikan  terhadap kinerja  karyawan PT. Mega Finance Kantor Pusat Jakarta Selatan dengan nilai Fhitung > Ftabel atau (84,769 > 3,14).Kata Kunci: Motivasi, Disiplin Kerja, Kinerja Karyawan

Analisis Perbedaan Prestasi Belajar Mahasiswa Fakultas Tarbiyah Dan Ilmu Keguruan (Ftik) Iain Palu Pada Mata Kuliah Evaluasi Pembelajaran Berdasarkan Gender

2019 ◽  
Vol 9 (1) ◽  
pp. 152-190
Author(s):  
Wiwin Mistiani
Keyword(s):  
Student Achievement ◽  
Sampling Technique ◽  
Female Students ◽  
Male Students ◽  
Error Level ◽  
Learning Achievement ◽  
Learning Evaluation ◽  
Significant Difference ◽  
The Subject ◽  
Evaluation Of Learning

This study aims to determine the student achievement of male and female students on the subyek Evaluation of learning and to determine of Differences in student achievement FTIK IAIN Palu on the subject evaluastion learning by gender. The approach used is descriptive quantitative. While the population in this study are all students. The sampling technique is done by using proportional random sampling technique. With the number of students 60 people then the sample = 37 students of FTIK IAIN Palu. Technique of collecting data by using test and observation while data analysis using T test.From the research, 1) the average of learning achievement in the subject of male students' learning appraisal from 19 male students who are the sample in this research is 79,42 means good category. Meanwhile, from 18 female students who became the sample of the study, the average of learning achievement in the subject of female students' learning evaluation is 77 means either. 2) There is no significant difference Student Learning Achievement FTIK) IAIN Palu On the subject Evaluation Learning Based on Gender with t value equal to = 0,0267 with t table with dk 35 with error level 5% is 0,062.

Considerations on the Errors Associated to the Measuring of the Amounts of Natural Gas Delivered to Household Consumers

2008 ◽  
Vol 59 (7) ◽  
Author(s):  
Sorin Neacsu ◽  
Mihai Albulescu ◽  
Cornel Trifan
Keyword(s):  
Natural Gas ◽  
Temperature Correction ◽  
Measuring Error ◽  
Error Level ◽  
Main Factors

This work deals with the evaluation of the error level occurring at the measuring of natural gas volumes supplied to the household users. The main factors that influence the measuring errors are one by one analyzed, and then a methodology for estimating measuring error level is introduced. The results are experimentally confirmed by the data obtained from the regulate�measuring points equipped with temperature-correction devices.

Error Estimation of Linear Polarization Resistance Measurement Caused by IR Drop for Reinforcement Corrosion in Concrete

2016 ◽  
Vol 866 ◽  
pp. 14-19
Author(s):  
Jin Xia Xu ◽  
Ya Long Cao ◽  
Lin Hua Jiang ◽  
Ying Bin Song ◽  
Wei Feng
Keyword(s):  
Linear Polarization ◽  
Polarization Resistance ◽  
Chloride Content ◽  
Chloride Ions ◽  
Resistance Measurement ◽  
Reinforcing Steel ◽  
Error Level ◽  
Corrosion Condition ◽  
Linear Polarization Resistance ◽  
Ir Drop

In order to evaluate more accurately the corrosion condition of reinforcing steel in chloride contaminated concrete, it is significant to investigate the error level in the linear polarization resistance measurement caused by IR drop. Concretes with eight levels of chloride ions (ranging from 0% to 2.0% by mass of cement) by adding different amounts of sodium chloride in the mixing water were prepared. Linear polarization measurements with and without IR compensation, were applied to determine the error level. Besides, half-cell potential method was employed to detect the corrosion condition of reinforcing steel. The results indicate that the error level is so low (less than 5.0%) that the IR drop can be negligible when the chloride content is relatively lower (0.6% or less by mass of cement). However, the error level is increased with the increase of chloride content. The IR drop is suggested to be compensated when the chloride content is relatively higher (more than 0.6% by mass of cement). At this time, the onset of active corrosion of reinforcing steel is also found.

scholarly journals Pengaruh bimbingan kelompok teknik permainan simulasi terhadap peningkatan komunikasi reseptif siswa tunarungu

2019 ◽  
Vol 5 (2) ◽  
pp. 61
Author(s):  
Erlin Fitria ◽  
Dian Yudhawati
Keyword(s):  
Simulation Game ◽  
Deaf Students ◽  
Connotative Meaning ◽  
Error Level ◽  
Test Analysis ◽  
Guidance Service ◽  
The Subject ◽  
Receptive Communication ◽  
Support Students ◽  
Group Guidance

<p>There are several problems faced by 14 deaf students as the subject of this research. They get diffiulties in understanding long sentences, connotative meaning, and they lack on vocabulary. Their inability in hearing makes them rely on their vision to gather information. Considering the reason of their difficulties, visual and attractive learning media are needed for deaf students. Group guidance on simulation game technique is a counseling guidance service that directs students to reflect daily activities in the form of games using physical media such as blue cards, OK cards and chance cards. In the group guidance of the simulation game technique, students learn to understand new vocabulary of the role played and can acquire vocabulary. The more vocabulary mastered will support students' ability to have receptive communication. To prove the hypothesis that the group guidance of simulation game technique influences the improvement of receptive communication of deaf students in SLB.B Wiyata Dharma 1, the Mann Whitney U Test analysis is used. Based on Mann-Whitney U-test Asymp Sig was obtained (2-tailed) 0.013 with an error level of 0.05 then 0.013 &lt;0.05 means that Ho is rejected and Ha is accepted. It implies that the group guidance of the simulation game technique has an impact on increasing the receptive ability of deaf students. Therefore, group guidance on simulation game techniques can be used as an alternative learning media to improve receptive communication for deaf students.</p>

scholarly journals Monitoring System of The Temperature for Mini Fish Storage using Internet of Things

2021 ◽  
Vol 324 ◽  
pp. 01011
Author(s):  
Eko Prayetno ◽  
Tonny Suhendra ◽  
Jeremya Lukmanto Saputra
Keyword(s):  
Internet Of Things ◽  
Human Brain ◽  
Monitoring System ◽  
Room Temperature ◽  
High Protein ◽  
Test Results ◽  
Error Level ◽  
The Right ◽  
Monitoring Temperature

Fish is one of the high-protein foods that are very helpful for the development of the human brain. Then, it is necessary to maintain the freshness of the fish for consumption. At this time, fishers and fishmongers preserve the freshness of fish by using Ice in the fish storage. However, it is considered ineffective due to improper ice change time. Therefore, monitoring temperature is very important and helpful to find the right time when replacing the Ice used to ensure the quality of fish. The development of this device uses Arduino ESP32, DHT21 Sensor, Micro SD Module, Internet of Things system, monitoring using Blynk Application and notifications using Telegram App. DHT21 sensor test results obtained a data conformity level (Error Level) of 2%. At the fish storage room temperature, there is the lowest temperature of 10.50 oC and ice temperature conditions in the storage of 0 oC. Therefore, the best state to keep fish fresh that researchers want is 0 oC to 2 oC at ice temperatures or 11.50 oC obtained in testing the time it takes to replace Ice by about 10 hours.

scholarly journals Near-Field Antenna Measurements with Manual Collection of the Measurement Samples

2020 ◽  
Vol 18 ◽  
pp. 17-22
Author(s):  
Fabian T. Faul ◽  
Hans-Jürgen Steiner ◽  
Thomas F. Eibert
Keyword(s):  
Near Field ◽  
Field Measurements ◽  
Controlled Environment ◽  
Positioning System ◽  
Probe Position ◽  
Site Testing ◽  
Error Level ◽  
Measurement Results ◽  
Anechoic Chambers ◽  
Chamber Measurements

Abstract. Near-field measurements are commonly performed in anechoic chambers which limits the flexibility of the measurements and requires high precision equipment to achieve exact results. In this contribution, we investigate a simple near-field measurement setup which does not use any sophisticated positioning system nor operates in a controlled environment. Instead, the probe antenna is moved by an operator person while the probe position is measured by a laser tracker. This implies that the measurement results will have a higher error level in comparison with antenna chamber measurements. However, excellent error levels are not always necessary, especially when it comes to on-site testing of the principle functionality of antennas. Measurement results are shown to illustrate the performance of the system.

scholarly journals Analysis and Development of Seawater Density Measurement Algorithms Using Arduino Uno and YL-69 Sensor

2020 ◽  
Vol 4 (5) ◽  
pp. 951-956
Author(s):  
Miftahul Walid ◽  
Hozairi ◽  
Madukil Makruf
Keyword(s):  
Sea Water ◽  
Density Measurement ◽  
Absolute Error ◽  
Error Level ◽  
Value Range ◽  
Density Values ◽  
The Mean ◽  
Arduino Uno ◽  
The Difference ◽  
Predicted Values

In this research, an analysis was carried out to develop a measuring instrument for seawater density in salt production using a microcontroller (Arduino Uno) and YL-69 sensor, this sensor was commonly used to measure soil moisture. The experimental method was used in this research to produce initial data in the form of resistance and seawater density values, then calculations are carried out using statistical methods to find equations and produce a constant variable that connects the resistance and seawater density values. The equation was used to compile the algorithm into Arduino Uno. As for the results of this research,  From six experiments conducted, two experiments produced the same sea water density value between the actual and the predicted, namely the 2nd and 5th experiments, while for other experiments there was a difference between the actual and predicted values, however, it was not too significant, the difference occurs between the value range 0 ~ 1, to determine the level of error, use the Mean Square Error (MSE) with an error level of = 0.5 and Mean Absolute Error (MAE) with an error level of = 0.6. The contribution of this research is an algorithm that can predict the density value (baume) based on the resistance value obtained from the YL 69 sensor.

scholarly journals PENGARUH PENERAPAN PROGRAM MENTORING AL-ISLAM TERHADAP PRAKTIK BERAGAMA MAHASISWA UNIVERSITAS ISLAM OGAN KOMERING ILIR KAYUAGUNG

2020 ◽  
Vol 2 (2) ◽  
pp. 156-170
Author(s):  
Firmansyah Firmansyah
Keyword(s):  
Data Analysis ◽  
Field Research ◽  
Strong Relationship ◽  
Religious Practice ◽  
T Test ◽  
Statistical Techniques ◽  
Statistical Calculation ◽  
Error Level ◽  
Response Data ◽  
The One

This research was conducted to determine the effectiveness of the implementation of the mentoring Al-Islam program at Universitas Islam OganKomeringIlir (UNISKI) Kayuagung which has been running so far, the implementation of the religious practice of students of UNISKI Kayuagung, and what effect the implementation of the mentoring Al-Islam program has on the implementation of the student's religious practice. This research is a descriptive field research with a quantitative approach. The data sources were students participating in the mentoring Al-Islam and the management of P5I UNISKI Kayuagung. Data collection is done using observation techniques, questionnaires, interviews, and documentation. The data analysis is done through descriptive statistical techniques. The results of the data analysis showed that the effectiveness of the implementation of the mentoring Al-Islam program at UNISKI Kayuagung based on the response data of 284 respondents to the research questionnaire using the one-sample t-test formula = 173,433> price of the table, both at the error level ( ) 5% = 1,645 or  1% = 2,362. Thus, the Ha submitted can be accepted. Meanwhile, the value of students' religious practice, using the t-test formula of one sample, the price of t arithmetic = 156.8> t table 5% = 1.645 and 1% = 2.362. The price of t arithmetic falls on the acceptance of Ha, so Ha is accepted and H0 is rejected. The statistical calculation using the product moment correlation formula shows that the application of the mentoring Al-Islam program has a positive and significant effect of 0.996 with a "very strong" relationship level on the religious practice of students of UNISKI Kayuagung.

A Method for Image Forgery Detection Based on Error Level Analysis (ELA) Technique

2020 ◽  
Author(s):  
Emanuele Morra ◽  
Roberto Revetria ◽  
Danilo Pecorino ◽  
Gabriele Galli ◽  
Andrea Mungo ◽  
...  
Keyword(s):  
Neural Networks ◽  
Deep Learning ◽  
Digital Imaging ◽  
Imaging Techniques ◽  
Automated System ◽  
Learning Approaches ◽  
Forgery Detection ◽  
Error Level ◽  
Detection Algorithms ◽  
Level Analysis

In the last years, there has been growing a large increase in digital imaging techniques, and their applications became more and more pivotal in many critical scenarios. Conversely, hand in hand with this technological boost, imaging forgeries have increased more and more along with their level of precision. In this view, the use of digital tools, aiming to verify the integrity of a certain image, is essential. Indeed, insurance is a field that extensively uses images for filling claim requests and a robust forgery detection is essential. This paper proposes an approach which aims to introduce a full-automated system for identifying potential splicing frauds in images of car plates by overcoming traditional problems using artificial neural networks (ANN). For instance, classic fraud-detection algorithms are impossible to fully automatize whereas modern deep learning approaches require vast training datasets that are not available most of the time. The method developed in this paper uses Error Level Analysis (ELA) performed on car license plates as an input for a trained model which is able to classify license plates in either original or forged.

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