scholarly journals DETEKSI LEMBAR JAWABAN KOMPUTER MENGGUNAKAN OMR (OPTICAL MARK RECOGNITION) DI MTS NURUL IMAN

2021 ◽  
Vol 8 (3) ◽  
pp. 1361-1372
Author(s):  
Moh Novi Hermawan
Keyword(s):  
Work Productivity ◽  
Answer Sheet ◽  
Test Results ◽  
Test Medium ◽  
Recognition Method ◽  
Teaching Process ◽  
Questions And Answers ◽  
Optical Mark Recognition

Conventional exams or manual exams were implemented decades ago and are still used today. This type of test uses a writing instrument as a test medium, namely the test is carried out in the form of general stationery such as paper, pencil, and pen, the questions and answers to the test are written by hand. One way to assess the success of the teaching process in schools is to carry out exams. In the implementation of the exam at MTS Nurul Iman, he used a computer answer sheet as an entry. Meanwhile, schools are required to have certain scanners that are expensive to correct computer answer sheets. Another alternative that can be done by schools is to manually correct computer answer sheets, but this makes a lot of time wasted, and can cause errors in correcting and slow work productivity. From the problems that have been described, to detect the computer answer sheet, a method is needed. Through this research, it is hoped that a method can be developed that automatically detects the answer choices on the computer answer sheet, so that more accurate and faster results are obtained. Based on the problems of this study, the researchers used the OMR (Optical Mark Recognition) method to detect computer answer sheets automatically. From the test results, it can be concluded that the accuracy of detection of computer answer sheets using OMR is 97%.

scholarly journals Pengaruh Kompensasi Terhadap Produktivitas Kerja Karyawan Pada Perusahaan Daerah Air Minum (PDAM) Tirta Rangga Kabupaten Subang

2020 ◽  
pp. 70-92
Author(s):  
Nelli Sulistiana
Keyword(s):  
Significant Relationship ◽  
Work Productivity ◽  
Test Results ◽  
Negative Rate ◽  
Negative Perceptions ◽  
The Relationship ◽  
Productivity Variable

Hasil penelitian menunjukkan bahwa variabel kompensasi ternyata didominasi oleh pendapat yang menyatakan setuju yang menjadi angka mayoritas, yaitu sebesar 63% sementara yang berpendapat negatif dengan persepsi ketidaksetujuan atas variabel ini mencapain33%. Adapun variabel produktivitas kerja karyawan ternyata didominasi oleh pendapat yang menyatakan setuju sebesar 83%, sementara yang menilai negatif mencapai 17%. Sedangkan besaran pengaruh kompensasi terhadap produktivitas kerja karyawan yaitu terdapat pengaruh yang signifikan, dimana berdasarkan hasil korelasi antara kompensasi terhadap produktivitas kerja karyawan adalah sebesar 0,719 artinya hubungan antara kedua variabel tersebut kuat. Dan berdasarkan hasil uji signifikan didapat t hitung > t tabel atau 8,343 > 1.294 yang berarti terdapat hubungan yang positif dan signifikan antara variabel kompensasi dengan variabel produktivitas kerja karyawan. Sedangkan hasil uji determinasi diperoleh sebesar 51,7% dan sisanya sebesar 48,3 % diperkirakan dipengaruhi oleh faktor lain yang tidak diteliti dalam penelitian ini.   The results showed that the compensation variable was dominated by opinions that agreed to be the majority, namely 63%, while those with negative perceptions of the disapproval of this variable reached 33%. The employee work productivity variable was dominated by opinions that agreed to 83%, while those with a negative rate reached 17%. While the magnitude of the effect of compensation on employee work productivity is that there is a significant effect, which based on the results of the correlation between compensation to employee work productivity is 0.719, meaning the relationship between the two variables is strong. And based on the significant test results obtained t count> t table or 8.3343> 1.294, which means that there is a positive and significant relationship between the variable compensation with the variable work productivity of employees. While the results of the determination test were obtained at 51.7% and the remaining 48.3% was estimated to be influenced by other factors not examined in this study.

The Recognition of Handwritten Digital Based on BP Neural Network

2013 ◽  
Vol 416-417 ◽  
pp. 1239-1243
Author(s):  
Shan Gao
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Recognition Rate ◽  
Practical Significance ◽  
Test Results ◽  
Recognition Method ◽  
Number Recognition ◽  
Recognition Ability ◽  
Fuzzy Recognition ◽  
Zip Code

The article put forward to new recognition method of handwritten digital based on BP neural network. Its recognition process mainly includes ten aspect: incline correction of handwritten number, edge detection and separation of a set number, binarization, denoising, extraction of numerals, window scaling, location standardization, thinning, extraction of numeral feature and fuzzy recognition based on BP neural network. The test results show that the recognition rate of this method can be over 92 percent. The recognition time of characters for character is less than 1.1 second, which means that the method is more effective recognition ability and can better satisfy the real system requirements.It should be widely applied practical significance for Book Number Recognition, zip code recognition sorting.

scholarly journals PENGARUH KOMPENSASI DAN DISIPLIN KERJA TERHADAP PRODUKTIVITAS KERJA KARYAWAN PADA MECHANICAL DIVISION PT MULIA MAKMUR ELEKTRIKATAMA

2018 ◽  
Vol 13 (2) ◽  
pp. 210-222
Author(s):  
Nidaul Izzah ◽  
Ida Ardiani
Keyword(s):  
Quantitative Methods ◽  
Work Productivity ◽  
Employee Productivity ◽  
Test Results ◽  
Analysis Method ◽  
Multiple Correlation ◽  
Strong Positive Relationship ◽  
Independent Variable ◽  
The Relationship ◽  
Productivity Variable

The purpose of this study was to obtain information about the influence of compensation and working discipline on employee productivity, while the purpose is to obtain data empirically the extent of the influence of compensation and working discipline in increasing productivity employee. The data analysis method used is quantitative method. Quantitative methods are used to determine the relationship between the variable compensation (X1) and variable work discipline (X2) on employee productivity (Y).Samples were employees at mechanical division of PT Mulia Makmur Jalan Jababeka VIIIA Elektrikatama SFB Block B 11 V Cikarang Bekasi, sampling is done by random sampling. After examining the completed questionnaires that have been distributed to the employees and the calculation of the correlation between compensation and discipline against the labor productivity by using multiple regression calculations obtained: Y = 0.0102 + 0,2149X1 + 0,7998X2 with b1 = 0.2149 have meaning relationships compensation (X1) and productivity (Y) is positive and b2 = 0.7998 has meaning relations work discipline (X2) and productivity (Y) is positive. While the analysis results obtained using the calculation of multiple correlation R = 0.9113 and KPB = 83.05%, which means there is a very strong positive relationship between compensation and (X1) and discipline (X2) together to work productivity (Y) and 16.95% contribution comes from factors outside of this study. The F-test results showed Fhitung> Ftabel or 66.13%> 3.35, which means all of the independent variable (compensation = X1, X2 = work discipline) together there is a significant effect on work productivity variable (Y) on the mechanical PT Mulia Makmur Elektrikatama division.

scholarly journals PENGARUH KETERAMPILAN TERHADAP PRODUKTIVITAS KERJA KARYAWAN PADA KONVEKSI ISTANA MODE MADIUN

2016 ◽  
Vol 4 (1) ◽  
pp. 96 ◽  
Author(s):  
Wiwin Wiranti
Keyword(s):  
Regression Analysis ◽  
Data Collection ◽  
Statistical Methods ◽  
Significant Relationship ◽  
Work Productivity ◽  
Sampling Technique ◽  
T Test ◽  
Employee Productivity ◽  
Test Results ◽  
F Test

<p>This  study aims to determine  tbe Employee   Skills in the Konveksi  Istana  Mode Madiun,  to determine  Employee  Productivity  in the Konveksi  Istana Mode Madiun,  as well as  to  determine   the  presence   or  absence   of  Vocational   Effect   on  Productivity   Among Employees   at the Konveksi  Istana  Mode  Madiun.  The  samples  in this  study  is purposive sampling   technique   that  all  employees   at  the  Konveksi   Istana   Mode   Madiun   part  of convection,   amounting  to 30 people.  Data  collection  using  questionnaires,   documentation and interviews.In    analyzing  the data using statistical  methods  Product  Moment,  To test this hypothesis   using the r test, F test and t test. The results  of the regression  analysis  ofY  = a +bX, the result Y = 11,737 + 0,757X,  to test that rcount  &gt; r liable  (0.784  &gt; 0.361),  or may be rejected  HO means  that there  is a skills  significant  relationship   with  work  productivity   of employee  at the Konveksi  Istana  Mode  Madiun.  Furthermore,   also obtained  results  which indicate that the F test ofF count &gt;F table (44,5752::4.196)  or ::;;Sighit Sigprob  (0,000 ::;;0.05). Thus HO is rejected,  it means  there is an overall  effect of skills on labor productivity   at the Konveksi  Istana  Mode  Madiun.  In addition,  the t-test results  obtained  thit&gt;  ttab  (6.676  &gt; 2.048) or Sig hit &lt; Sig prob (0.000 &lt; 0.025) this situation  can be said to be no different  from the effect of employee  skills on work productivity  of employee  at the Konveksi  Istana Mode Madiun.</p>

scholarly journals KOMBINASI TUTORIAL DENGAN METODE TANYA JAWAB UNTUK MENINGKATKAN PEMAHAMAN MATEMATIKA DI PERGURUAN TINGGI

2018 ◽  
Vol 6 (1) ◽  
pp. 153-162
Author(s):  
Senja Putri Merona
Keyword(s):  
Action Research ◽  
Student Understanding ◽  
Instructional Materials ◽  
Mathematical Statistics ◽  
Test Results ◽  
Mathematics Students ◽  
Teaching Materials ◽  
Question And Answer ◽  
Questions And Answers ◽  
Classroom Action Research

Tujuan penelitian ini adalah untuk mendeskripsikan langkah-langkah kombinasi tutorial tambahan dengan metode tanya jawab yang dapat meningkatkan pemahaman matematika mahasiswa. Jenis penelitian ini adalah penelitian tindakan kelas dalam dua siklus. Masing-masing siklus dilaksanakan dalam 3 pertemuan. Subyek penelitian ini adalah mahasiswa Prodi Matematika FKIP Universitas Muhammadiyah Ponorogo yang memprogram matakuliah Statistika Matematika pada semester genap 2015/2016. Dari hasil penelitian diperoleh bahwa pelaksanaan tutorial dengan tanya jawab yang dapat meningkatkan pemahaman matematika siswa adalah sebagai berikut: (1) Perencanaan: pada tahap ini dosen mempelajari bahan ajar, mengidentifikasi bagian yang dirasa sulit, dan menyusun strategi pembimbingan, (2) Persiapan: pada tahap ini dosen menyiapkan bahan ajar tambahan, menyiapkan soal-soal sederhana sebagai latihan dan analogi untuk menyelesaikan permasalahan serupa yang lebih kompleks, (3) Pelaksanaan: pada tahap ini dosen mengidentifikasi dan menganalisis kesulitan mahasiswa dan melaksanakan tutorial untuk menyelesaikan kesulitan tersebut. Pelaksanaan tutorial dikombinasikan dengan tanya jawab dengan metode reinforcement dan prompting, dan (4) Evaluasi dan Penutup: pada tahap ini dosen melaksanakan konfirmasi untuk memastikan bahwa mahasiswa telah dapat mengatasi kesulitannya dan mememinta mahasiswa untuk mengerjakan tugas tambahan untuk memantapkan pemahamannya. Dari hasil tes akhir siklus diperoleh skor pemahaman matematika siswa pada siklus satu yaitu 42.86% dan 80.95% pada siklus kedua. Hal ini menunjukkan bahwa pemahaman matematika mahasiswa mengalami peningkatan.The purpose of this study is to describe the steps the combination of additional tutorials with question and answer method can improve student understanding of mathematics. This research is a classroom action research in two cycles. Each cycle carried out in three meetings. The subjects of this study are students Prodi FKIP Mathematics, University of Muhammadiyah Ponorogo program Mathematical Statistics courses in the second semester 2015/2016. The result showed that the implementation of the tutorial by questions and answers that can improve the understanding of mathematics students are as follows: (1) Planning: at this stage lecturers studying teaching materials, identify the part that is considered difficult, and strategize guidance, (2) Preparation: on this stage lecturers prepare supplementary instructional materials, prepare questions simple as exercise and analogy to resolve similar issues are more complex, (3) Implementation: at this stage lecturer identify and analyze the difficulties students and carry out the tutorial to resolve these difficulties. Implementation tutorial combined with a question and answer with the method of reinforcement and prompting, and (4) Evaluation and Closing: at this stage lecturers carry out a confirmation to ensure that students have been able to overcome the difficulties and mememinta students to perform additional tasks to solidify their understanding. From the end of the cycle test results obtained scores understanding of mathematics students in cycle one, namely 42.86% and 80.95% in the second cycle. This suggests that the increased student understanding of mathematics.

scholarly journals Recognition Method of Tunnel Lining Defects Based on Deep Learning

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Anfu Zhu ◽  
Shuaihao Chen ◽  
Fangfang Lu ◽  
Congxiao Ma ◽  
Fengrui Zhang
Keyword(s):  
Deep Learning ◽  
Tunnel Lining ◽  
Training Algorithms ◽  
Test Results ◽  
Recognition Method ◽  
Training Time ◽  
Recognition Model ◽  
New Ideas ◽  
Defect Recognition ◽  
Ground Penetrating

The defect identification of tunnel lining is a task with a lot of tasks and time-consuming work, and currently, it mainly relies on manual operation. This paper takes the ground-penetrating radar image of the internal defects of the lining as the research object, and chooses the popular VGG16, ResNet34 convolutional neural network (CNN) to build the automatic recognition model for comparative study, and proposes an improved ResNet34 defect-recognition model. In this paper, SGD and Adam training algorithms are used to update network parameters, and the PyTorch depth framework is used to train the network. The test results show that the ResNet34 network has faster convergence speed, higher accuracy rate, and shorter training time than the VGG16 network. The ResNet34 network using the Adam algorithm can achieve 99.08% accuracy. The improved ResNet34 network can achieve an accuracy of 99.25%, and at the same, reduce the parameter amount by 4.22% compared with the ResNet34 network, which can better identify defects in the lining. The research in this paper shows that the deep learning method can provide new ideas for the identification of tunnel lining defects.

scholarly journals The Effect of The Use of Information Technology and Foreign Language Communications in The Teaching Process on The Quality of Indonesian Seafarers

2021 ◽  
Vol 1 (4) ◽  
pp. 127-144
Author(s):  
Retno S Wulandari ◽  
Imam Fahcruddin ◽  
Yuni Mariah
Keyword(s):  
Information Technology ◽  
Foreign Language ◽  
Technology Use ◽  
Statistical Tests ◽  
Test Results ◽  
Teaching Process ◽  
Independent Variables ◽  
Information Technology Use ◽  
Language Communication

This study aims to determine the use of information technology in the teaching process on the quality of Indonesian seafarers, to determine the level of foreign language communication skills on the quality of Indonesian seafarers. The results of this study indicate that the use of Information Technology in the teaching process shows a positive and significant relationship with the statistical test results recorded at 47.7%. That foreign language communication in the teaching process on the quality of Indonesian seafarers is quite positive and significant, with the results of statistical tests recording 36.1%. The combined effect of the use of Information Technology and English Communication in the teaching process on the quality of Indonesian seafarers is obtained from the R square number of 0.615 or 61.5% and the remaining 38.5% is influenced by other factors or other variables. The quality of seafarers which is influenced by 2 independent variables of Information Technology use and English Communication can also be seen from the sig. indicator value 0,000.

scholarly journals DETERMINANT PRODUCTIVITY OF HONORARY EMPLOYEES IN WATER IRIGATION AREA OBSERVATION OFFICES SELUMA

2020 ◽  
Vol 1 (1) ◽  
pp. 22-33
Author(s):  
Budi Setiawan ◽  
Ahmad Soleh ◽  
Kaulan Kaulan
Keyword(s):  
Organizational Commitment ◽  
Irrigation Water ◽  
Regression Coefficient ◽  
Work Productivity ◽  
Positive Influence ◽  
Regression Equation ◽  
T Test ◽  
Test Results ◽  
Regional Office ◽  
Irrigation Area

This study aims to analyze the determinants of the work productivity of honorary employees at the Seluma Irrigation Water Observers Regional Office. The method of collecting data is by distributing questionnaires to 42 honorary employees. Analysis of the data used is quantitative analysis, with the method of multiple linear regression, determination test, t test and F test. The results of SPSS analysis for windows version 16.0, obtained the regression equation Y = 2.239 + 0.231X1 + 0.653X2 + 0.378X3. The regression equation shows that there is a positive influence between morale, work discipline and organizational commitment to the work productivity of honorary employees at the Seluma Irrigation Water Observers Regional Office, and work discipline variables have the strongest influence on work productivity because it has the greatest regression coefficient value, namely .653. From the results of the determination test it is known that 85.3% of the work productivity of honorary employees at the Seluma Irrigation Water Irrigation Area Observers Office is influenced by morale, work discipline and organizational commitment. The t-test results showed that morale, work discipline and organizational commitment partially had a significant effect on the work productivity of honorary employees, because of the probability value of sig. 0.05. While the F (Anova) test results showed that work morale, work discipline and organizational commitment simultaneously had a significant influence on the work productivity of honorary employees at the Seluma Irrigation Water Irrigation Area Observers Office, where Fcount Ftable (80,169 2,850).

scholarly journals HUBUNGAN MOTIVASI KERJA PEGAWAI DENGAN PRODUKTIVITAS KERJA PEGAWAI KANTOR CAMAT TIGABINANGA KABUPATEN KARO

2021 ◽  
Vol 29 (2) ◽  
pp. 258
Author(s):  
Novalina Kartika Sari Br Karo ◽  
Marlon Sihombing ◽  
Simson Ginting
Keyword(s):  
Hypothesis Testing ◽  
Extrinsic Motivation ◽  
Partial Correlation ◽  
Work Motivation ◽  
Work Productivity ◽  
Test Results ◽  
Real Relationship ◽  
Close Relationship ◽  
Level Of Motivation ◽  
The Relationship

The theory used in the motivation variable is Herzberg's Motivation Theory in which motivation is divided into two, namely intrinsic and extrinsic motivation, then Maslow's Hierarchy of Needs Theory. One of the data collection techniques used in this research is through questionnaires and literature review of the object under study. From the results of hypothesis testing with a simple correlation (bivariate) that has been done, it shows that: There is a strong and real positive relationship between Employee Work Motivation (X) and Work Productivity (Y). This shows that the higher the level of work motivation, the better the performance will be. The partial correlation hypothesis testing shows that: There is a positive and real relationship between Work Motivation (X) and Work Productivity (Y), which indicates that the higher the level of Work Motivation, the better the productivity. The correlation value between X and Y is 0.714, indicating that there is a close relationship between Work Motivation and Work Productivity. Hypothesis testing to see the relationship between the level of motivation and productivity is tested simultaneously. The test results show that there is a close and real relationship between the level of work motivation and work productivity, which is equal to 0.714

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