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INFORMATION SYSTEM FOR MAKING PC WIRE HEADS WITH PNEUMATIC SYSTEMS IN HEADING MACHINE Adam Huda Nugraha; Sandy Suryady
International Journal Science and Technology Vol. 2 No. 2 (2023): July: International Journal Science and Technology
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/ijst.v2i2.843

Abstract

Pc wire or Prestressed concrete wire is iron thread with a round cross section and has indentations on its surface. Pc wire is widely used in the construction of buildings or buildings, railway sleepers and piles. This paper discusses the process of making pc wire heads and pneumatic systems that function as driving hammer dies in making pc wire. The aim of the research is to know the work process of making pc wire head (screw iron), calculating the pneumatic system for making pc wire head (screw iron). The data needed in the preparation of this report was obtained by collecting data, namely field studies which are direct data collection. data obtained through direct observation in the field accompanied by a field supervisor then Literature Study where literature study is data collection through literature books, journals, making pc wire heads by cutting pc wire with a diameter of 7.1 mm along 152 mm using a cutting grinder and then clamping it in a vise so that the screw iron does not shift when getting pressure from the die, the die will press the pc wire so that it is formed with a circular diameter of 13 mm and 7 mm thick. From the calculation of the density of dry air, the result is = 87.08 Pa, the result of the hydrostatic calculation is 609.78 Pa, and from the calculation of the Double Acting Cylinder, the result is 254.34 N.
CONCEPTUAL REGIONAL ORIGIN RECOGNITION USING CNN CONVOUTION NEURAL NETWORK ON BANDUNG, BOGOR AND CIREBON REGIONAL ACCENTS Adam Huda Nugraha; Achmad Benny Mutiara; Dewi Agushinta Rahayu
International Journal Multidisciplinary Science Vol. 2 No. 2 (2023): June: International Journal Multidiciplinary
Publisher : Asosiasi Dosen Muda Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56127/ijml.v2i2.696

Abstract

Sound detection is a challenge in machine learning due to the noisy nature of signals, and the small amount of (labeled) data that is usually available. The need for sound detection in Indonesia is quite important because there are many community organizations that form groups according to the land of their origin. Especially in big cities, where people from various tribes gather and exchange cultures. However, it has a disadvantage that affects these tribes, namely the loss of the original culture of certain areas. The Sundanese are the object of this research, including Bandung, Bogor and Cirebon. Voice data is divided into 2 types, namely male and female, each region consists of 50 respondents with 25 male and female voices with a maximum voting time of 1 minute. The method used is CNN architecture based on supervised learning, preprocessing using MFCC (Mel Frequency Cepstral Coefficients) to obtain feature extraction from voice data. CNN architecture is carried out 3 times convolution with max pooling and dropout on each convolution.