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All Journal Jurnal Pendidikan Teknik Mesin Indonesian Journal of Electrical Engineering and Computer Science
Kriswanto Kriswanto
Universitas Negeri Semarang
Education Mechanical Engineering

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Development of a mobile expert system for the diagnosis on motorcycle damage using forward chaining algorithm Rizqi Fitri Naryanto; Mera Kartika Delimayanti; Kriswanto Kriswanto; Ari Dwi Nur Indriawan Musyono; Imam Sukoco; Mohamad Naufal Aditya
Indonesian Journal of Electrical Engineering and Computer Science Vol 27, No 3: September 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v27.i3.pp1601-1609

Abstract

Indonesia is an ASEAN country with the most motorcycle users, where one-third of its population own motorcycles. The automatic motorcycle is the most widely used type due to its agility and fuel-efficient abilities. Sudden motorcycle damage could hamper the users' activities. However, most of these users do not know the reason for the damage. This paper presents the development of expert system for diagnosing the damage of motorcycle using forward chaining method. This system was implemented in mobile application. Through a mobile application, a solution for these users can be obtained. This application immediately discovers the damaged location and repair process. Furthermore, it acts as the first solution before motorcycle repair is carried out in a shop. In this study, the forward chaining method was implemented. It is based on a pattern-matching algorithm whose primary objective is to match facts (input data) with appropriate rules from the rule base. Various test results showed that the diagnostic application used for automatic motorcycle damages 100% worked.
MACHINING TIME OPTIMIZATION OF SURFACE FINISHING CNC MILLING PROCESS ON STEEL WORKS 2311 Kriswanto Kriswanto
Jurnal Pendidikan Teknik Mesin Vol 23, No 1 (2023): Jurnal Pendidikan Teknik Mesin
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jptm.v23i1.47391

Abstract

The rapid development of manufacturing technology is a challenge for manufacturing industry players,especially in CNC milling machining to be able to produce quality products and have an optimalmachining time speed so that high product quantities are achieved with low production costs.Therefore, small industry players now have problems with their CNC milling machines. The existingengine is relatively smaller and there are some limitations that make it a problem such as limited enginerpm and soon. All the existing problems, further research needs to be done to optimize all the needs ofthe industrial world today, especially regarding the time of the production process that needs to beoptimized. This research was conducted by varying all related parameters, starting from spindle speed,feed rate and depth of cut. In the implementation process, this research uses the Taguchi OrthogonalArray method to minimize experimental tests so that it is more time and cost efficient. The resultsobtained in this study are feed rate is the most influential parameter on machining time, followed byspindle speed and the third significant parameter is depth of cut with the smallest contribution tomachining time. Then for the most optimal design, there is the 3rd parameter design which has the mostoptimal time, which is 55 seconds
Co-Authors Ari Dwi Nur Indriawan Musyono Mera Kartika Delimayanti Mohamad Naufal Aditya Rizqi Fitri Naryanto Sukoco, Imam