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All Journal ARRUS Journal of Engineering and Technology Journal of Innovation Research and Knowledge
Hendra Purnawan
Jakarta Global University
Humanities Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences

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Talent Management Employee Development by Using Certainty Factor Method of Expert System Aditia Putra Hamid; Rosyid Ridlo Al Hakim; Aming Sungkowo; Trikolas Trikolas; Hendra Purnawan; Ariep Jaenul
ARRUS Journal of Engineering and Technology Vol. 1 No. 1 (2021)
Publisher : Lembaga Penelitian dan Pengembangan Teknologi dan Rekayasa, Yayasan Ahmar Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/jetech568

Abstract

Talent management is a factor that determines success in the business environment because talent management requires quantitative and qualitative skills. This study aims to implement the certainty factor (CF) method of an expert system for employee development talent management. This research using a certainty factor (CF) method to design an expert system framework. Due to the focus on our research aim, we provide a certainty factor calculation with mathematical modeling for calculating talent management employee development in X Company. The confidence level is 93.55% for a recommendation of not promotion of the job; for 52.38% is a recommendation that can be proposed for promotion, but HRD will evaluate in some time; for 98.73% is a recommendation for promotion of the job. We used CF calculation that can provide the level of confidence (in %). The calculation of the certainty factor (CF) method can be used for recommending job promotion in some companies.
DESIGN AND DEVELOPMENT SMART-IMBULANCE FOR EFFICIENCY OF ROAD EMERGENCY PRIORITIES Rosyid Ridlo Al Hakim; Miftakhul Hafidz Sidiq; Agung Pangestu; Ariep Jaenul; Yanuar Zulardiansyah Arief; Hendra Purnawan; Rofingi Aji; Slamet Riyadi
Journal of Innovation Research and Knowledge Vol. 1 No. 2: Juli 2021
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (433.152 KB)

Abstract

Medical emergency conditions required patients to be mobilized by ambulance quickly, precisely, and accurately. To save the patient, the ambulance acted as a helper and hope for the patient to survive until the patients reach the hospital. The ambulance has to go through the fastest and closest way to reach the hospital. However, problems arise when road conditions do not support the creation of the fastest and closest ambulance. Due to congested road conditions, it will be possible to delay the ambulance from reaching the hospital or other unwanted events. The road and traffic conditions that can be controlled for the smooth running of the ambulance need special attention. Smart-iMbulance framework modeling allows an ambulance to move quickly and precisely to reach the nearest hospital. This paper provides a transportation model for vehicles, an application model as an embedded program in an ambulance, and a traffic management plan as a solution offered for ambulances on the road.
Co-Authors Agung Pangestu Aming Sungkowo Ariep Jaenul Hamid, Aditia Putra Miftakhul Hafidz Sidiq Rofingi Aji Rosyid Ridlo Al-Hakim Slamet Riyadi Trikolas Trikolas Yanuar Zulardiansyah Arief