cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
kadek suarjuna batubulan
Contact Email
kadeksuarjuna87@polinema.ac.id
Phone
+6285369199997
Journal Mail Official
icirpe@polinema.ac.id
Editorial Address
Jl. Soekarno Hatta No.9, Jatimulyo, Kec. Lowokwaru, Kota Malang, Jawa Timur 65141
Location
Kota malang,
Jawa timur
INDONESIA
International Conference on Industrial Revolution for Polytechnic Education
Published by Politeknik Negeri Malang
ISSN : 26551853     EISSN : -     DOI : doi.org/10.52931
Core Subject : Science, Education, Agriculture, Engineering,
Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Electrical & Electronics Engineering Industrial & Manufacturing Engineering Mathematics
International Conference on Industrial Revolution for Polytechnic Education is one of the event included in Polytechnic Exhibition and Seminar held by Ministry of research and Higher Education. The theme of this event is "Empowering polytechnic Education for Industrial revolution 4.0".
Arjuna Subject : Umum - Umum
Articles 81 Documents
 1   2   3   4   5 
Smart Electric Terminal With WEB Display Using Dreamweaver Programming In Local Network Arif Ainur Rafiq, Supriyono, Arif Ainur Rafiq, Atika Wulandhari
International Conference on Industrial Revolution for Polytechnic Education Vol. 1 No. 1 (2019): International Conference on Industrial Revolution for Polytechnic Education
Publisher : PolinemaPress

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Monitoring and controlling the use of electricalenergy can help in controlling the excess use of energy. Infacilitating monitoring and controlling, a smart electricalterminal application system has been designed with a WEBdisplay that is used to control electrical equipment thatintegrated into the local network. The controlled condition isthe ON/OFF from the relay that connected to the electricalterminal. This system can also monitor the state of theelectrical terminal through reading the current when there is aload attached to the electrical terminal. The Arduino webserver is used as an ON/OFF electrical terminal, and theArduino web client for current readings. Both Arduino isconnected to access point, so control and monitoring can bedone wirelessly. Monitoring of electric current uses an ACS7125A sensor, which can detect changes in current up to 5 A.Every single electrical terminal is connected to one sensor, so inthe system, it uses four ACS712 sensors. Based on the results ofthe tests, the four ACS712 sensors have been produced indifferent reading values. The difference occurs because of thedifference in response time from the four sensors, with anaverage reading between 0,04 A to 0,07 A on a no-load test.Data obtained from the results of reading electric current sentto the database, the average reading displayed in the WEB
The 4Ps Impact On Purchase Decision using Logistic Reggression: A Case Of Rabbani Muslim Fashion in Bandung, Indonesia Sussy Susanti, Yunia Mulyani Azis, Siti Nuraisyah
International Conference on Industrial Revolution for Polytechnic Education Vol. 1 No. 1 (2019): International Conference on Industrial Revolution for Polytechnic Education
Publisher : PolinemaPress

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research is based on the decrease in the number of consumers do transaction of buying Muslim Rabbani fashion products within the period 2013-2015. The decline in the number of consumers who do this transaction indicates the existence of a declination in the Purchasing Decision of Muslim fashion products Rabbani, so it can be formulated in this research that how consumers form buying decisions amidst increasingly tight competition of Muslim clothing products, the rise of new brands and more qualified, based on the Marketing Mix perspective. The purpose of this research is to analyze the influence of Marketing Mix (4Ps) on Purchasing Decision on Rabbani product. This research uses descriptive and verifikatif method. Data were collected by questionnaire and interview technique. The sample used in this study is 100 men and women who respondents who wear Muslim dress in the city of Bandung. The method of analysis used in this research is Logistic Regression Analysis. The results of this research indicate that Marketing Mix (4Ps) has a significant influence, either partially or simultaneously to the purchase decision. The dimension of Marketing Mix partially that has the greatest influence is Product, while the smallest influence is shown by Place.
Brain Wave Identification as a Robot Manipulator Drive using Adaptive NeuroFuzzy Inference System (ANFIS) O. B. K. Dewa, O. B. K. Dewa, , A. Khumaidi, I. Sutrisno, R. Y. Adhitya
International Conference on Industrial Revolution for Polytechnic Education Vol. 1 No. 1 (2019): International Conference on Industrial Revolution for Polytechnic Education
Publisher : PolinemaPress

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This paper presents the comparison betweenthree artificial intelligence methods which are applied in brainwave to classify human conditions whether focus or relax inorder to operate robotic arm; these three methods are AdaptiveNeuro Fuzzy Inference System, Backpropagation NeuralNetwork, and Extreme Learning Machine. The system has fourinputs variable and single output variable. The inputs are RootMean Square (RMS) of four brain waves frequency bandmagnitude which is sensed by Neurosky Mindwave HeadsetEEG Sensor. These four waves are beta, alpha, theta and delta.The output variable is decision between 0 for relax and 1 forfocus. In this implementation, the sensor with one dry electrodeis placed properly in forehead in order to enable the accuratedelivery of RAW wave. This RAW data then transformed fromtime domain into frequency domain using Discrete FourierTransformation (DFT) in order to extract frequency band of thesignal. The RMS of each frequency band signal is then processedto classify user conditions whether focus or relax and sent tomicrocontroller to control robotic arm mechanism, grip (focus)and un-grip (relax). In this comparison, three methods aretreated equally with the same training and testing data. Theresult is Neural Network has higher accuracy to classify focusand relax data with average error 0.00009, followed by AdaptiveNeuro Fuzzy Inference System with 0.00563, and the last isExtreme Learning Machine with average error 0.10994
English Vocabulary Learning Strategies of non-English major university students Alpino Susanto, Fazlina Ab Halim, Berhannudian Mohd Salleh
International Conference on Industrial Revolution for Polytechnic Education Vol. 1 No. 1 (2019): International Conference on Industrial Revolution for Polytechnic Education
Publisher : PolinemaPress

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This study aims to examine vocabulary learning strategies among university students in Indonesian context. The current state of the art of vocabulary learning strategies (VLSs) in Indonesia is typified by lack of attention in students’ practicality. So, there is urgent need for theoretical research to enhance the precision of conception of strategies overview the students’ level of the strategies. There were 314 students from Universities in Batam-Indonesia, participated in this study. The research is tended for a quantitative research into Non-English Majors’ preference for vocabulary learning strategies. The vocabulary learning strategies questionnaire was adopted and adapted from a previous study. The researchers translated the questionnaire from English into Indonesian. The validity of the questionnaire was ascertained by language experts. A pilot study was conducted to verify the reliability of the questionnaire by using the Winstep version 3.73. SPSS software was used to assess the mean score of the indicators of vocabulary learning strategies. The data of the vocabulary learning strategies is elicited from survey by validated questionnaire. Based on the result this paper suggests that Non-English majors should manage to grasp more useful vocabulary learning strategies and then make appropriate adjustments to improve their vocabulary learning. As for teachers and lecturer, they should help language learners to build positive strategy training into English classes and encourage students to systematize their own learning strategies instead of using these strategies unsystematically.
RTL-SDR Audio Signal Optimization Using Noise Reduction and Fast Fourier Transforms Aviv Yuniar Rahman
International Conference on Industrial Revolution for Polytechnic Education Vol. 1 No. 1 (2019): International Conference on Industrial Revolution for Polytechnic Education
Publisher : PolinemaPress

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In a radio device such as RTL SDR (RealtekSoftware Defined Radio), we often encounter noise orinterference with data received by RTL SDR. Noise is anunwanted signal that is acoustic, electrical and electronic.Noise will interfere with the process of receiving and sendingdata so that the data received is not in accordance with thedata sent. Noise reduction is the process of removing unwantedsounds from the signal. In this paper, we address the problemof reducing noise signal using Gaussian Filter and a SavitzkyGolay smoothing filter. Then, the output signal analyzed byusing the Fast Fourier Transform (FFT) method. With theFFT method, the display of the FFT frequency, sound signalwaveform and the time value row in the .wav file are obtained.The recordings of the RTL SDR will be processed using thenoise reduction method to eliminate noise in the data, then usethe FFT method to display the FFT frequency, sound signalwaves and rows of time values in the data. The optimal resultsobtained in the final iteration are 10th or n-points 1024iterations with a minimum value of 0.0012 and a maximum of0.7219.
Cloud Manufacturing – An Approach to Strengthen Global Competitiveness of the Indonesian Small and Medium Manufacturing Enterprises (SMMEs) Khamdi Mubarok, Mahrus Khoirul Umami
International Conference on Industrial Revolution for Polytechnic Education Vol. 1 No. 1 (2019): International Conference on Industrial Revolution for Polytechnic Education
Publisher : PolinemaPress

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The World is moving into a new industrialrevolution era, Industry 4.0. Driven by the advanced developmentof computer science and information and communicationtechnologies (ICT), the German strategic initiative Industry 4.0has triggered many countries to establish their national strategiesto survive in current global industrial competition. Responding tothis trend, the Indonesian government recently launched “MakingIndonesia 4.0” as a roadmap to improve industrialcompetitiveness. Focusing on small and medium manufacturingenterprises (SMMEs), the Ministry of Industry also released ESmart IKM to help IKM (SMMEs) improve their productivity andexpand their market. However, these initiatives paid less attentionto the collaboration worth among companies. In order to build aclose relationship and strong collaboration among SMMEs, cloudmanufacturing concept is adopted in this research. By utilizing theInternet of things (IoT), service-oriented architecture (SOA)technologies and advanced cloud computing technologies, a cloudmanufacturing platform for the Indonesian SMMEs is developed.First, Making Indonesia 4.0 initiative and E-Smart program as thebackground of this research are observed. Second, cloudmanufacturing definition and basic concept are discussed.Finally, the adoption of cloud manufacturing and itsimplementation strategy for the Indonesian context are proposed.The initial work of this implementation is also presented.
21st Century Learning to Produce Vocational Graduates in the Industrial Age Competitively 4.0 Syaiful Efendi, Bella Cornelia Tjiptady, Rico Andhika Putra
International Conference on Industrial Revolution for Polytechnic Education Vol. 1 No. 1 (2019): International Conference on Industrial Revolution for Polytechnic Education
Publisher : PolinemaPress

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The fourth industrial revolution (industry 4.0), among others, marked the emergence of the internet (cyber), supercomputers, smart robots, micro chips, editing genetic, and neurotechnology that allows humans to further optimize brain function. Where one form of implementation is the use of robots to replace human beings so that it is cheaper, more effective and efficient. The implication, will change the pattern of life and human interaction, because fundamentally there have been technological changes with new approaches that combine the physical, digital, and biological worlds. Industry 4.0 requires workers who have skills in digital literacy, technology literacy, and human literacy. So that vocational education should be able to innovate and be creative in responding to the challenges and opportunities of the implications for the industry 4.0 with the revitalizing system vocational education that includes learning systems, educational units, students, teachers, and education staff.
FREQUENT PATTERN ANALYSIS ON SALES DATA USING ECLAT ALGORITHMS TO DETERMINE SALES STRATEGIES Imam Fahrur Rozi, Yan Watequlis Syaifudin, Nursita Al Mufidah
International Conference on Industrial Revolution for Polytechnic Education Vol. 1 No. 1 (2019): International Conference on Industrial Revolution for Polytechnic Education
Publisher : PolinemaPress

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Sales transaction data is one of the data that can be processed and analyzed as the object of a study. ECLAT algorithm is a development algorithm from the Apriori Algorithm which is often used to analyze sales transaction data. The ECLAT algorithm is an algorithm that uses a vertical data format to represent the data. The advantages of the ECLAT Algorithm are the process and performance of calculating support for all itemsets carried out in a more efficient way compared to the Apriori HUI-Miner Algorithm. ECLAT algorithm is used to help find frequent patterns on sales data, the results of which are product purchase rules that are often purchased simultaneously by consumers in one transaction. By using association rule mining results can be determined from the value of support and confidence of a product rule obtained. Based on the results of data analysis, the minimum effect of support for confidence and lift ratio is obtained if the higher the minimum support value is used, the more likely the resulting rule is. However, the percentage of rule results that get the test value of lift ratio above 1.00 is only a little. Meanwhile, if the minimum support value is used, then the possibility of the percentage rule that has a lift ratio above 1.00 more and more can be said to be a valid rule to be used as a suggestion for the rule of goods to be discounted.
PERFORMANCE ANALYSIS OF ELECTRIC VEHICLE POWERTRAIN SYSTEM WITH MULTY SPEED TRANSMISSION F. Zainuri
International Conference on Industrial Revolution for Polytechnic Education Vol. 1 No. 1 (2019): International Conference on Industrial Revolution for Polytechnic Education
Publisher : PolinemaPress

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The rapid development of science and technology affects thedevelopment of all products including motorized vehicles. Thepowertrain system in a vehicle is one of the most important things in itbecause it brings power from the motor to the final drive to producetraction performance. The performance of resulted traction willchange depending on the amount of charge received by the vehicle.The right selection of motor and tranmsission gear ratio is also themain key of vehicle’s proper traction performance. The results of theanalysis of the powertrain electric vehicle (EV) system performancewith two-speed transmission obtained by selecting a transmission ratiothat is suitable for use in a vehicle is a transmission ratio of 1.96 forthe 1st gear and of 1.25 for multy speed, since the traction required bythe motor is not too big to be able to do gearshift and thus the gearshift becomes smoother. Based on the results of friction analysis withtraction, it can be concluded that the vehicle is unable to yield tractionof 6.000 rpm at multy speeds with a 10° road slope, due to the slopedrag higher than the vehicle traction. As a result, the vehicle is onlycapable of traveling at 65.30 km/h at multy speeds and of traveling at49.98 km/h in the 1st gear. Based on the results of friction analysiswith traction, it can be concluded that the vehicle is unable to yieldtraction of 5.000 rpm in gear 1 with a slope of 20°, due to the slopedrag higher than the vehicle thrust/traction. Therefore, the vehicle isonly capable of traveling at 41.65 km/h in the 1st gear and of travelingat 49.98 km/h in the 1st gear.
Automatic License Plate Recognition: State of the Art Aris Budianto
International Conference on Industrial Revolution for Polytechnic Education Vol. 1 No. 1 (2019): International Conference on Industrial Revolution for Polytechnic Education
Publisher : PolinemaPress

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The Automatic License Plate Recognition (ALPR) has been becoming a new trend in transportation systems automation. The extraction of vehicle’s license plate can be done without human intervention. Despite such technology has been widely adopted in developed countries, developing countries remain a far-cry from implementing the sophisticated image and video recognition for some reasons. This paper discusses the challenges and possibilities of implementing Automatic License Plate Recognition within Indonesia’s circumstances. Previous knowledge suggested in the literature, and state of the art of the automatic recognition technology is amassed for consideration in future research and practice.

Page 2 of 9 | Total Record : 81

 1   2   3   4   5 

Filter by Year

2019 2021


Reset
Filter By Issues
All Issue Vol. 3 No. 3 (2021): International Conference on Industrial Revolution for Polytechnic Education Vol. 2 No. 2 (2020): International Conference on Industrial Revolution for Polytechnic Education Vol. 1 No. 1 (2019): International Conference on Industrial Revolution for Polytechnic Education