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LEMBAR

HASIL PENILAIAN SEJAWAT SEBIDANG ATAU PEER REVIEW KARYA ILMIAH : JURNAL ILMIAH

Judul Jurnal Ilmiah (Artikel) : Graduation Prediction System Using Artificial Neural Network

Jumlah Penulis : 4 orang (Oky Dwi Nurhayati, Otong Saeful Bachri, Ahmad Supriyanto, Muhammad Hasbullah)

Status Pengusul : penulis ke-1

Identitas Jurnal Ilmiah : a. Nama Jurnal : International Journal of Mechanical Engineering and Technology (IJMET)

b. Nomor ISSN : 0976-6359

c. Vol, No., Bln Thn : Vol. 9, No.7, pp. 1051-1057, July 2018

d. Penerbit : IAME Publication

e. DOI artikel (jika ada) : -

f. Alamat web jurnal :

http://www.iaeme.com/ijmet/IJMET_Paper.asp?sno=12328

Alamat Artikel :

http://www.iaeme.com/MasterAdmin/UploadFolder/IJMET_09

_07_113/IJMET_09_07_113.pdf

g. Terindex : Scopus, Q3

Kategori Publikasi Jurnal Ilmiah :

Jurnal Ilmiah Internasional

(beri

pada kategori yang tepat)

Jurnal Ilmiah Nasional Terakreditasi Jurnal Ilmiah Nasional Tidak Terakreditasi Hasil Penilaian Peer Review :

Komponen Yang Dinilai

Nilai Reviewer

Nilai Rata-rata Reviewer I Reviewer II

a. Kelengkapan unsur isi jurnal (10%) 1,75 1,75 1,75

b. Ruang lingkup dan kedalaman pembahasan (30%) 5,25 5,50 5,375

c. Kecukupan dan kemutahiran data/informasi dan metodologi (30%)

5,50 5,50 5,50

d. Kelengkapan unsur dan kualitas terbitan/jurnal (30%) 5,50 5,25 5,375

Total = (100%) 18,00 18,00 18,00

Nilai Pengusul = (60% x 18,00) = 10,80

(2)

LEMBAR

HASIL PENILAIAN SEJAWAT SEBIDANG ATAU PEER REVIEW KARYA ILMIAH : JURNAL ILMIAH

Judul Jurnal Ilmiah (Artikel) : Graduation Prediction System Using Artificial Neural Network

Jumlah Penulis : 4 orang (Oky Dwi Nurhayati, Otong Saeful Bachri, Ahmad Supriyanto, Muhammad Hasbullah)

Status Pengusul : penulis ke-1

Identitas Jurnal Ilmiah : a. Nama Jurnal : International Journal of Mechanical Engineering and Technology (IJMET)

b. Nomor ISSN : 0976-6359

c. Vol, No., Bln Thn : Vol. 9, No.7, pp. 1051-1057, July 2018

d. Penerbit : IAME Publication

e. DOI artikel (jika ada) : -

f. Alamat web jurnal :

http://www.iaeme.com/ijmet/IJMET_Paper.asp?sno=12328

Alamat Artikel :

http://www.iaeme.com/MasterAdmin/UploadFolder/IJMET_09

_07_113/IJMET_09_07_113.pdf

g. Terindex : Scopus, Q3

Kategori Publikasi Jurnal Ilmiah :

Jurnal Ilmiah Internasional

(beri

pada kategori yang tepat)

Jurnal Ilmiah Nasional Terakreditasi Jurnal Ilmiah Nasional Tidak Terakreditasi Hasil Penilaian Peer Review :

Komponen Yang Dinilai

Nilai Maksimal Jurnal Ilmiah

Nilai Akhir Yang Diperoleh Internasional

Nasional Terakreditasi

Nasional Tidak Terakreditasi

a. Kelengkapan unsur isi jurnal (10%) 2,00 1,75

b. Ruang lingkup dan kedalaman pembahasan (30%)

6,00 5,25

c. Kecukupan dan kemutahiran data/informasi dan metodologi (30%)

6,00 5,50

d. Kelengkapan unsur dan kualitas terbitan/jurnal (30%)

6,00 5,50

Total = (100%) 20,00 18,00

Nilai Pengusul = (60% x 18,00) = 10,80 Catatan Penilaian artikel oleh Reviewer :

1. Kesesuaian dan kelengkapan unsur isi jurnal:

Isi makalah dari Introduction sampai dengan References sudah sesuai dengan format dan sudah lengkap dilihat dari aspek unsur-unsur isi jurnalnya.

2. Ruang lingkup dan kedalaman pembahasan:

Ruang lingkup pembahasan sudah memenuhi sesuai kelaziman publikasi ilmiah pada jurnal internasional.

Pembahasan yang ada pada tuliasan yang diusulkan sudah cukup komprehensif dan mendalam.

3. Kecukupan dan kemutakhiran data/informasi dan metodologi:

Data/informasi yang digunakan untuk penelitian sudah mencukupi. Metodologi penelitian : metode yang digunakan dalam penelitian termasuk metode yang mutakhir.

4. Kelengkapan unsur dan kualitas terbitan:

Terbitan jurnal adalah bersifat Online, Terindeks Scopus Q3, dengan SJR 0,21, lengkap, kualitas terbitan Online sudah bagus dan sesuai standar penerbitan yang berlaku.

20

(3)

LEMBAR

HASIL PENILAIAN SEJAWAT SEBIDANG ATAU PEER REVIEW KARYA ILMIAH : JURNAL ILMIAH

Judul Jurnal Ilmiah (Artikel) : Graduation Prediction System Using Artificial Neural Network

Jumlah Penulis : 4 orang (Oky Dwi Nurhayati, Otong Saeful Bachri, Ahmad Supriyanto, Muhammad Hasbullah)

Status Pengusul : penulis ke-1

Identitas Jurnal Ilmiah : a. Nama Jurnal : International Journal of Mechanical Engineering and Technology (IJMET)

b. Nomor ISSN : 0976-6359

c. Vol, No., Bln Thn : Vol. 9, No.7, pp. 1051-1057, July 2018

d. Penerbit : IAME Publication

e. DOI artikel (jika ada) : -

f. Alamat web jurnal :

http://www.iaeme.com/ijmet/IJMET_Paper.asp?sno=12328

Alamat Artikel :

http://www.iaeme.com/MasterAdmin/UploadFolder/IJMET_09

_07_113/IJMET_09_07_113.pdf

g. Terindex : Scopus, Q3

Kategori Publikasi Jurnal Ilmiah :

Jurnal Ilmiah Internasional

(beri

pada kategori yang tepat)

Jurnal Ilmiah Nasional Terakreditasi Jurnal Ilmiah Nasional Tidak Terakreditasi Hasil Penilaian Peer Review :

Komponen Yang Dinilai

Nilai Maksimal Jurnal Ilmiah

Nilai Akhir Yang Diperoleh Internasional

Nasional Terakreditasi

Nasional Tidak Terakreditasi

a. Kelengkapan unsur isi jurnal (10%) 2,00 1,75

b. Ruang lingkup dan kedalaman pembahasan (30%)

6,00 5,50

c. Kecukupan dan kemutahiran data/informasi dan metodologi (30%)

6,00 5,50

d. Kelengkapan unsur dan kualitas terbitan/jurnal (30%)

6,00 5,25

Total = (100%) 20,00 18,00

Nilai Pengusul = (60% x 18,00) = 10,80 Catatan Penilaian artikel oleh Reviewer :

1. Kesesuaian dan kelengkapan unsur isi jurnal:

Sesuai dengan “Guide for Author” (Judul, Pendahuluan, Metodologi, Hasil dan Pembahasan, Kesimpulan, Daftar

Pustaka). Substansi artikel sesuai bidang ilmu pengusul/penulis.

2. Ruang lingkup dan kedalaman pembahasan:

Substansi artikel cukup sesuai dengan ruang lingkup jurnal. Kedalaman pembahasan tergolong cukup baik.

3. Kecukupan dan kemutakhiran data/informasi dan metodologi:

Data hasil penelitian cukup menunjukkan ada kebaruan informasi/metodologi.

4. Kelengkapan unsur dan kualitas terbitan:

Jurnal tergolong dalam Jurnal Ilmiah Internasional Terindex : Scopus, Q3, dengan SJR : 0,21, H Index 13, ISSN:

0976-6359, Similaritas berdasarkan turnitin adalah 17%.

20

(4)

Document details

References (26)

6 of 22

Graduation prediction system using artificial neural network

(Article)

, , ,

Department of Computer Engineering, Universitas Diponegoro, Indonesia STIKOM Poltek Cirebon, Indonesia

Abstract

Educational Data Mining (EDM) is one area of research in the field of Data Mining which aims to explore knowledge or obtain models from an academic database. One of the benefits of EDM is to generate predictions for student academic achievement in the future. In this study, a Multi-Layer Perceptron (MLP) based EDM system is proposed to predict students' graduation at a university with five parameters: gender, college admission year, GPA semester 1, GPA semester 2 and GPA semester 3. Training data which used a total of 292 records with missing value in some of its features. The system test was done by Cross Validation method with three k-fold, ie 3, 5, and 10. The test result showed that MLP succeeded in classifying the data with a high level of accuracy of 94.8%, where the precision and recall values obtained 94.2% and 96.2% respectively. In addition, comparative tests were performed with several other classification methods, namely k-NN, SVM, Naive Bayes, and Decision Tree to find out how well the method proposed in this study was compared with other methods. © IAEME Publication

SciVal Topic Prominence

Topic:

Prominence percentile: 97.064

Author keywords

Educational data mining Machine learning Multi-layer perceptron Students' graduation prediction

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International Journal of Mechanical Engineering and Technology Volume 9, Issue 7, July 2018, Pages 1051-1057

Nurhayati, O.D.a Bachri, O.S.b Supriyanto, A.b Hasbullah, M.b

a b

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Data mining | Students | Students academic

ISSN: 09766340 Source Type: Journal Original language: English

Document Type: Article Publisher: IAEME Publication

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4

Citations in Scopus

59th percentile

0.61

Field-Weighted Citation Impact

Cited by 4 documents

, ,

(2020) Advances in Intelligent Systems and Computing

, (2019) Education and Information Technologies

, ,

(2018) International Journal of Mechanical Engineering and Technology

Inform me when this document is cited in Scopus:

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

Mining in Educational Data:

Review and Future Directions Salloum, S.A. Alshurideh, M.

Elnagar, A.

Data mining approach to predicting the performance of first year student in a university using the admission

requirements

Adekitan, A.I. Noma-Osaghae, E.

Graph-based modeling and dijkstra algorithm for searching vehicle routes on highways Kirono, S. Arifianto, M.I. Putra, R.E.

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Agrawal, R.S., Pandya, M.H.

Data mining with neural networks to predict students academic achievements (2016) Int’L Journal of Comp. Sci. And Tech., 7 (2), pp. 100-103.  .

 

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Predicting students final GPA using decision trees: A study

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(2009) Neural Network and Learning Machines – Third Edition.  . New Jersey: Pearson Prentice Hall

 

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Application of knn-genetic algorithm for analyzing student learning in educational data mining paradigm (2016) Int’L Journal of Innovative Research in Comp. And Comm. Eng., 4 (6), pp. 10319-10323. 

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Jishan, S.T., Rashu, R.I., Haque, N., Rahman, R.M.

Improving accuracy of student‘s final grade prediction model using optimal equal width binning and synthetic minority over-sampling technique

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Kabakchieva, D.

Student performance prediction by using data mining classification algorithms

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Kolo, K.D., Adepoju, S.A., Alhassan, J.K.

A decision tree approach for predicting students academic performance

(2015) Int’L Journal of Edu. And Management Engineering, 5, pp. 12-19.  .  

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Lesinski, G., Corns, S., Dagli, C.

(Open Access)

(2016) Procedia Computer Science, 95, pp. 375-382.  . doi: 10.1016/j.procs.2016.09.348

Mueen, A., Zafar, B., Manzoor, U.

Modelling and predicting students‘ academic performance using data mining techniques (2016) I. J. Of Modern Edu. And Comp. Sci., 11, pp. 36-42.  .

 

Pratiyush, G., Manu, S.

Classifying educational data using support vector machines: A supervised data mining technique (2016) Indian Journal of Sci. And Tech., 9 (34), pp. 1-5.  .

 

Saa, A.A.

Educational data mining & students‘ performance prediction

(2016) Int’L Journal of Advanced Comp. Sci. And Applications, 7 (5), pp. 212-220.  .  

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Prediction of student academic performance by an application of data mining techniques (2011) 2011 Int’L Conf. On Management and Artificial Intelligence, pp. 110-114.  . Bali, Indonesia

 

Shahiri, A.M., Husain, W., Rashid, N.A.

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(2015) Procedia Computer Science, 72, pp. 414-422.  . doi: 10.1016/j.procs.2015.12.157

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(2016) Proceedings of the 2016 19th International Multi-Topic Conference, INMIC 2016, art. no.

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ISBN: 978-150904300-2

doi: 10.1109/INMIC.2016.7840072

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Prediction of campus placement using data mining algorithm-fuzzy logic and k nearest neighbour (2016) Int’L Journal of Adv. Research in Comp. And Comm. Eng., 5 (5), pp. 309-312.  .

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Application of an Artificial Neural Network to Predict Graduation Success at the United States Military Academy

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Educational data mining by using neural network

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Yadav, S.K., Pal, S.

Data mining: a prediction performance improvement of engineering students using classification (2012) World of Comp. Sci. And Info. Tech. Journal, 2 (2), pp. 51-56.  .

 

Zaki, M.J., Meira, W.

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Descriptive examples of the limitations of artificial neural networks applied to the analysis of independent stochastic data

(2014) International Journal of Computer Engineering and Technology (IJCET), 5 (5), pp. 40-42. 

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Bachri, O.S.; STIKOM Poltek Cirebon, Indonesia

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Source details

International Journal of Mechanical Engineering and Technology

Scopus coverage years: from 2016 to 2019

Publisher: IAEME Publication

ISSN: 0976-6340 E-ISSN: 0976-6359

Subject area:

Engineering: Industrial and Manufacturing Engineering Engineering: Mechanical Engineering Engineering: Mechanics of Materials

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CiteScore 2017

2.13

SJR 2018

0.209

SNIP 2018

0.336

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2.13

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2016*

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▻ 495 Citations

▻ 232 Documents

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#122/556 78th

 

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4/21/2020 International Journal of Mechanical Engineering and Technology

https://www.scimagojr.com/journalsearch.php?q=21100808402&tip=sid&clean=0 1/11

also developed by scimago: SCIMAGO INSTITUTIONS RANKINGS Scimago Journal & Country Rank

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13

H Index Subject Area and

Category Engineering

Industrial and Manufacturing Engineering Mechanical Engineering

Mechanics of Materials Publisher IAEME Publication Publication type Journals

ISSN 09766340, 09766359 Coverage 2016-ongoing

Scope International Journal of Mechanical Engineering and Technology (IJMET) is an international journal dedicated to the latest advancements in mechanical engineering. The goal of this journal is to provide a platform for scientists and academicians all over the world to promote, share, and discuss various new issues and developments in different areas of mechanical engineering. IJMET is an online and print journal, which publishes research articles, reviews, and letters in all areas of mechanical engineering. It is peer-reviewed journal, aims to provide the most complete and reliable source of information on current developments in the eld. The emphasis will be on publishing quality papers rapidly and available to researchers worldwide.

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4/21/2020 International Journal of Mechanical Engineering and Technology

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Antypas 3 months ago

I wrote in this journal 4 months ago and have not yet indexed it because it is no longer scopus and the editors are not responding to our letter

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Abtypas 3 months ago

this this journal is no longer in his sсopгs, no ve months ago journal reply

Not every article in a journal is considered primary research and therefore "citable", this chart shows the ratio of a journal's articles including substantial research (research articles, conference papers and reviews) in three year windows vs. those documents other than research articles, reviews and conference papers.

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Ratio of a journal's items, grouped in three years windows, that have been cited at least once vs. those not cited during the following year.

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EDITORIAL BOARD Chief Editor

Dr. Ajeet Kumar Rai SSET, SHIATS-DU, Allahabad Managing Editors

Dr. Mohammad Israr Principal, Balaji Engineering College, Gujarat April 1 2020

Call for Paper (April-2020 Issue) – International/National Journals

March 3 2020

Call for Paper (March-2020 Issue) – International/National Journals

February 25 2020 Scopus Accepted Journals

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Dr. M.Narayana Rao Shri Sapthagiri Institute Of Technology,Chennai Dr. G. Arthanareeswaran NIT Trichy, India

Associate Editors

Dr. V.Antony Joe Raja Sri Muthukumaran Institute of Technology, India Prof. B. Arthi Gandhimathi IAEME Publication, India

Dr. N. Tamil Selvan IAEME Publication, India Er. D. S. Chengalvarayam IAEME Publication, India Copy Editors

Mr. K.Prasanth IAEME Publication, India

Mr. T.Nagarajan IAEME Publication, India

Editorial Board

Dr. Barish Dantal Application Development Engineer, Momentive Performance Materials, USA.

Dr. Mohamed Saber National Research Center (NRC) El Dokki, Giza, Egypt.

Dr. H. N. Reddappa Bangalore Institute of Technology, Karnataka, India.

Dr. Fateh Mebarek-Oudina Skikda University, Algeria.

Dr. Audai Hussein Al-Abbas Al-Musaib Technical College, Babylon, Iraq.

Dr. Mohd Azman Bin Abdullah Universitiy Teknikal Malaysia Melaka, Malaysia.

Dr. T.R.Vijayaram VIT University,Chennai.

Dr. M. Chithirai Pon Selvan Amity University, Dubai.

Dr. Chao Wang Nanyang Technological University, Singapore.

Dr. Madhu D Govt. Engineering College, KRPET, India.

Dr. R. Dilli babu Anna University, India.

Dr. A.Elaya perumal Anna University, India.

Dr. Mohamed Kchaou University Of Sousse, Tunisia.

Dr. Anan Suebsomran King Mongkut’s University of Technology North Bangkok , Thailand.

Dr. A. G. Matani Govt. College of Engineering, Amravati ,India.

Dr. Vivek Sachan SHIATS, Allahabad, India

Dr. Pallavi.H.Agarwal Babaria Institute of Technology, Gujarat, India Prof. Raj Kumar Yadav Adina Institute Of Science And Technology, Sagar, M.P Dr. İlhan ASİLTÜRK Selcuk University, Turkey

Dr. Sudarshan Rao K Shri Madhwa Vadiraja Institute of Technology and Management, Karnataka, India

Dr. Kondaveeti Srinivasa Rao CMR College of Engineering & Technology, Hyderabad, India

Dr. Ravi Burla Autodesk Inc., Novi, MI

Dr. Jingchao Zhang University of Nebraska-Lincoln,USA Dr. Nilaj N. Deshmukh Fr.C.Rodrigues Institute of Technology, India

Dr. Nadia MOUHIB National School of Electricity and Mechanic MOROCCO Dr. M. L. Meena Malaviya National Institute of Technology, Jaipur, India Dr. Raffi Mohammed NRI Institute of Technology, Indian

Dr. Ajay Verma Padmashri Dr. V.B. Kolte College of Engineering, Maharashtra, India Dr. Sathish Rao U Manipal University,Karnataka-India

Dr. Irfan. G Akshaya Institute of Technology, Karnataka, India Dr. Sunada Chakravarthy Sunedison Inc, USA

Prof. S. Sathish Kumar Vel Tech, Chennai, India

Dr. M. Ganesan Saranathan College of Engineering, Trichy, India

Dr. CH V K N S N MOORTHY Institute of Aeronautical Engineering(Autonomous), Telangana State, INDIA

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Er. Anshul Singhal Massachusetts Institute of Technology (MIT), USA Dr. Ornella Chiavola ROMA TRE University, Rome, Italy

Dr. H. Erdem Çamurlu Akdeniz University, TÜRKİYE

Dr. GIRISHA L PES Institute of Technology and Management, Karnataka, India Dr. M. Mubarak MEA Engineering College, Kerala, India

Dr. Ahmed Daabo University of Mosul, Mosul, Iraq Dr. Ambarish Maji MLR Institute of Technology, India

Dr. Hao Yi Chongqing University, China

Dr. Bambang Leo Handoko Bina Nusantara University of Indonesia

Prof. Jaafar Jaber Abdulhameed Almustansiririyah University, College of Engineering, Baghdad, Iraq Dr. S A Mojhan Krishna Associate Professor, Department of Mechanical Engineering,

Vidyavardhaka College of Engineering, Mysuru, Karnataka, India.

Dr. Prateek Nigam Bansal College of Engineering, Madhya Pradesh, India

Dr. Ehsaan Bagherian Inspection Technology & Quality Assurance National Institute (ITQAN), Saudi Arabia

Dr. Mohamed KCHAOU College of Engineering, University of Bisha, Saudi Arabia; National Engineering School of Sfax, University of Sfax, Tunisia

Dr. Shubham R Suryawanshi MET’s Institute of Engineering, Bhujbal Knowledge City, Nashik, India Dr. Diwan Mohit Balkrishna Shankersinh Vaghela Bapu Institute of Technology, Gujarat India Dr. Maryam Sadri Sharif University of Technology and Aerospace Research Institute, Tehran-

Iran.

Dr. A R Pradeep Kumar Dhanalakshmi College of Engineering, Tamilnadu, India

Reviewer Board

Dr. K.S.Zakiuddin Priyadarshini College of Engineering, India Dr. R.Edison Chandraseelan SMKFIT,India

Dr. Syed Anisuddin Caledonian College of Engineering, Sultanate of Oman

Er. Vinod Singh Yadav MNIT, India

Dr. S.Sreenatha Reddy Universal College of Engineering and Technology, India Dr. M. Victor Raj Sardar Raja College of Engineering, India

Dr. V.Baskaran Bannari Amman Institute of Technology, India

Dr. Ratri Parida IIT Kharagpur, India

Dr. G.Kalivarathan PSN Institute of Technology and Science,India Er. N.Vijayponraj PSN Institute of Technology and Science, India Dr. R.Uday Kumar Mahatma Gandhi Institute of Technology, India Prof. Manikandapirapu P.K Dayananda Sagar College of Engineering, India Dr. Srinivasa G.R Dayananda Sagar College of Engineering, India

Dr. Sudhakar K.G K L University, India

Dr. Chavan Dattatraya K. MMCOE, Karvenagar, Pune

Dr. Rahul Davis SHIATS-DU, Allahabad

Prof. Potnuru Govinda Rao GMR Institute of Technology,Rajam Dr. Velamala Rambabu G.M.R.Institute of Technology,Rajam Dr. V. Chitti Babu GMR Institute of Technology, Rajam, A.P

Dr. Ravindra D. Jilte Vidyavardhini’s College of Engineering and Technology,MSQ Dr. Gurudutt Sahni DGM & HOD Leader Valves Ltd, Punjab, India

Dr. Prashant H.S Sir M Visvesvaraya Institute of Technology, Bangalore, India Er. Fares Mohammed Laid REKBI Research Center in Industrial Technologies CRTI, Algeria, India

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International Journal of Mechanical Engineering and Technology (IJMET)

ISSN Print : 0976 – 6340 ISSN Online: 0976 - 6359 Volume 9, Issue 7 (2018)

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