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All Journal Journal of Mechanical and Manufacture J-ENSITEC (Journal of Engineering and Sustainable Technology)
Whydiantoro, Whydiantoro
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Aerospace Engineering Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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Journal : J-ENSITEC (Journal of Engineering and Sustainable Technology)

 1 
RANCANG BANGUN SISTEM PAKAR DIAGNOSA GANGGUAN SUASANA PERASAAN (AFEKTIF) MENGGUNAKAN METODE TEOREMA BAYES BERBASIS ANDROID: Indonesia nurdiana, nunu; Budiman, Budiman; whydiantoro, whydiantoro
J-ENSITEC (Journal of Engineering and Sustainable Technology) Vol. 8 No. 01 (2021): December 2021
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/jensitec.v8i01.1905

Abstract

Feeling disorder a group of clinical features characterized by reduced or lost emotional control and self-control. Affective disorders can be depression, manic or a mixture of both (bipolar). Someone who has mood disorders needs treatment as early as possible through early detection and an accurate assessment is carried out in consultation with a psychologist. So a system is needed that can detect the possible disturbance of the mood. Expert systems are part of artificial intelligence that mimics the slow pace of an expert. Bayes' Theorem is a way of knowing conditional probabilities. Conditional probability is the probability of an event occurring, given that it has some relationship with one or more other events. The probability value of symptoms and disease is obtained based on the experience of an expert. This expert system can produce a process of diagnosing mood disorders with some data about mood disorders in the form of symptom data, disease data and its probability value. The accuracy rate is 100% using 10 test data. An expert system for diagnosing mood disorders which is designed to be an Android-based application of JavaScript and PHP as a programming language, Cordova as a framework for creating mobile applications, PHP 7.2.1 as a web server, MySQL 5.0.21 as a database.
ANALISIS POSTUR KERJA MANUAL MATERIAL HANDLING (MMH) MENGGUNAKAN RAPID UPPER LIMB ASSESSMENT (RULA) DI PT.XYZ : Indonesia whydiantoro, whydiantoro; Susandi, Dony; kusumadewi, intan
J-ENSITEC (Journal of Engineering and Sustainable Technology) Vol. 8 No. 01 (2021): December 2021
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/jensitec.v8i01.1906

Abstract

The use of human labor in the industrial world in Indonesia is still very dominant, especially in Manual Material Handling (MMH) activities. The activity of bending and twisting in the workplace while doing MMH should be reduced or even if possible this activity should be eliminated because this attitude is prone to causing disorders of the musculoskeletal system. Considering that MMH activities have a vital role in the work carried out in the production process section, therefore the researcher will conduct an analysis of the Manual Material Handling (MMH) work posture using the Rapid Upper Limb Assessment (RULA). RULA is a work posture research method to investigate disorders of the upper limbs. The results of the work posture analysis based on the results of the assessment using the RULA method stated that all manual material handling activities assessed above required corrective action or efforts. In the shuttle area, the final score for the action category obtained is 7 with a high risk level and the action that must be taken is action now. In the Pirn Winder area, the final score for the action category obtained is 6 with a moderate risk level and the action that must be taken is action in the near future. In the vacuum heat setter area, the final score for the action category obtained is 7 with a high level of risk and the action that must be taken is action now.
Co-Authors Agus Alamsyah Budiman Budiman Dony Susandi Fauzi Ghani, Irvan Koswara, Engkos Kusumadewi, Intan Lia Milana, Lia Nunu Nurdiana, Nunu Pandji Wiwaha, Detra Puja Kurnia, Tri Tantri Wahyuni Widianarti, Tia