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All Journal MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Jurnal Guru Peneliti Profesional
Defri, Defri
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Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Industrial & Manufacturing Engineering Other

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Improving Student Motivation In Phyisical Education Learning In SMP Negeri 1 2 × 11 Kayutanam Arif Pribadi; Defri, Defri; Kadrisam, Rahmat
Jurnal Guru Peneliti Professional Vol. 3 No. 1 (2019): Jurnal Guru Peneliti Profesional
Publisher : Yayasan Sekora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34004/jurgupenprof.312019.02

Abstract

The problem of this research is the low desire of children in carrying out learning activities of Physical Education for Health and Recreation (PJOK) at SMP Negeri 1 2x11 Kayutanam, Padang Pariaman Regency, possibly caused by lack of student motivation, lack of discipline in students participating in PJOK learning, not serious, not enthusiastic, lacking diligent, less creative when given lessons in the form of games. This type of research is descriptive, conducted from February to March 2018. The population of this study were students of SMP Negeri 1 2x11 Kayutanam, Padang Pariaman Regency, consisting of VII, VIII and IX, totaling 391 people. Sampling research is 20% of the population with random sampling technique as many as 50 people. The data was collected through a questionnaire instrument (questionnaire) with a Likert scale. Based on data analysis, the results of the study found that out of 50 respondents of SMP Negeri 1 2x11 Kayutanam, Padang Pariaman Regency, only 8 people (16%) were in very good category, 8 people (16%) were in good category, 20 0 (40%) were in moderate category, 12 people (24%) were in the poor category, there were even 2 people (4%) in the poor category. Thus, this means that there is still low student motivation in learning PJOK at SMP Negeri 1 2x11 Kayutanam, Padang Pariaman Regency.
Implementation of Finite State Automata for 6-Axis Robot in the Screwing Process Risfendra, Risfendra; Nursalam, Rapis; Purnama, Eko; Defri, Defri
MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Vol 7 No 2 (2025): Motivection : Journal of Mechanical, Electrical and Industrial Engineering
Publisher : Indonesian Mechanical Electrical and Industrial Research Society (IMEIRS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46574/motivection.v7i2.445

Abstract

The screwing process is one of the important stages in the assembly of industrial products that requires high precision and time efficiency. This study implements Finite State Automata using Nondeterministic Finite Automata with the Mealy Machine model. The implementation of Finite State Automata on a 6-axis robot in the screwing process allows for better control, because each step in the process can be analyzed and programmed clearly. The system is controlled by a programmable logic controller that integrates a 6-axis robot, human machine interface, screwdriver, sensors, and pneumatic actuators. The screwing process is carried out using an automatic screwdriver, with the robot's movement following a logical sequence based on the Mealy Machine model state diagram. Each state represents the robot's operational steps, from taking tools, screws, to the screwing process. The study focuses on designing a system to move the robot according to the state diagram that activates the output based on the state transition to the input. The results show that the implementation of Finite State Automata is able to complete the screwing process consistently and repeatedly. This system also considers safe points to avoid collisions, thus supporting safety in the screwing process. The application of Finite State Automata on 6-axis robots is expected to provide convenience for users in understanding robot control in the screwing process and can be implemented according to industrial needs.
Co-Authors Arif Pribadi Kadrisam, Rahmat Nursalam, Rapis Purnama, Eko Risfendra, Risfendra