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Human Capital Management Adopted by SLB-D YPAC Bandung Junianto, Dani; Bangun, Yuni Ros
Journal of Business and Management Vol 4, No 3 (2015)
Publisher : Journal of Business and Management

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (169.8 KB)

Abstract

Abstract- The objective of the study was to determine the extent to which the SLB-D YPAC BANDUNG had adopted the Human Capital Management (HCM) practices. The HCM practices that were explored include: resourcing, strategies, talent management, learning and development, and performance and reward management strategies. The study used the case study design that was based on a target population of 30 people in the school. A sample of twenty nine (29) staff, just excluding the headmaster was selected. Data collection instruments used by the study were an interview guide and a questionnaire. However, a substantial amount of data was collected through documentary analysis. A response rate of 100% was achieved by the questionnaire technique, while one of the four interviewee sampled were interviewed. Both content and quantitative analysis were used to analyze data which was then presented in frequency tables, percentages, rank ordering, and mean scores and standard deviation. Overall, the findings of the study indicate that the organization has implemented HCM practices, but to a negligible extent. Some of the HCM practices adopted by the organization include: : effective communication channel, equipping them with competencies required to achieve the organizational goal, and Explaining organization mission, vision, and value to the staff. However, the rest of the practices have either not been adopted or are adopted to a negligible extent. The study also suggests that there is need for further research, particularly in the area of human capital measurement, since the organization didn’t use any tool available and the continued applied research for when the organization had implemented a clear human capital measurement. Keywords: Human capital management, competitive advantage, human capital advantage, intangible assets and human capital planning.Category: Performance Management, Human Resource Management
Rancang Bangun Farming Box Dengan Pengaturan Suhu Menggunakan Fuzzy Logic Controller Firmansyah, Riza Agung; Junianto, Dani
ELKHA : Jurnal Teknik Elektro Vol. 12 No. 2 October 2020
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v12i2.41196

Abstract

Implementation of control systems has been carried out in many fields of science. One of it applications is in the agriculture fields. In this research we implemented a control system on farming in a box. Farming in a box is a system that uses old shipping containers for the purpose of growing plants in any environment. Inside shipping containers is fully assembled hydroponic pipe with air temperature control. In this research was built a little farming box from acryclic to imitate a shipping container. Main focus of this research is design an air temperature control using fuzzy logic controller. Fuzzy logic controller was choosen because many existing farming box use on off controller. In some application, fuzzy logic controller has better performance than on off controller. Farming box temperature is controlled by blowing cool air using an electric fan. In this case, cool air is produced by cold side of peltier. Electric fan speed is controlled by pulse width modulation signal (PWM) that generated from microcontroller. Air temperature data feedback is obtained from DHT 11 sensor that installed in a acrylic box. Sensor is physically connected with microcontroller and Fuzzy logic controller is embedded in microcontroller as an algorithm. Fuzzy logic controller was design with error temperature and error difference as an input, and duty cycle of PWM signal as output. Fuzzy logic controller system performs to reduce the temperature from 31,6 ° C to set poin 28° C in 71 seconds. Steady state error obtained by 1.28% and better than uncontrolled system that obtain steady state error 7,14%.