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Scirj, Volume VI [2018]
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Scientific Research Journal

Scirj Volume VI, Issue XI, November 2018 Edition
ISSN: 2201-2796


Publication starts: 25th November 2018
Full Paper available from: 25th November 2018


ASSESSMENT OF THE LEVEL OF ANTHROPOGENIC CONTRIBUTIONS TO HEAVY METAL POLLUTION ON SOME ABANDONED WASTE-DUMP SITES IN THE YENAGOA METROPOLIS IN BAYELSA STATE
Lewis Igo, Erepamowei Young, Timi Tarawou

Abstract: Industrial revolution has caused a great increase in the heavy metal pollution of soils with no exception of soils at waste dump sites. However, anthropogenic sources are not the only sources of heavy metal pollution, hence this research work was aimed at assessing the anthropogenic contributions to metal pollution on some abandoned waste dump sites in the Yenagoa metropolis in Bayelsa State. Soils samples were collected from sites and analyzed using flame atomic absorption spectrometer. Pollution indices were calculated from the analytical results. Concentrations ranged (0.044 mg/kg – 2.048 mg/kg, except Fe), contamination factor (0.274 – 4.604), pollution load index (1.06 – 1.741), ecological risk index (71.61 – 167.67), ecological risk coefficient (0.72 – 138.12), geo-accumulation (- 0.057 – 1.181), Nemerow multi-factor (0.34 – 3.65), pollution contamination indices (0.35 – 3.87), modified degree of contamination indices (1.11 – 2.41), contamination degree indices (7.40 – 14.50), enrichment factor (0.497 – 7.435). Generally, these values indicate that the abandoned waste dump sites are only minimally polluted and may not adversely affect farming activities. The results are also consistent with the low level of industrialization of Bayelsa State.
Read Full Paper Reference this paper Page 1-19


EFFECTS OF TALENT MANAGEMENT, LEADERSHIP STYLE AND MOTIVATION ON EMPLOYEE PERFORMANCE IN INFORMATION TECHNOLOGY INDUSTRIES IN WEST JAKARTA AND WEST JAVA, INDONESIA
Supraptiningsih , Otto Payangan , Nurdin Brasit, Ria Mardiana

Abstract: In this globalization era, companies faced with many challenges to improve employees performance. Of the many challenges, talent management is one of them. Due to this particular challenge, companies desperately need qualified workers. However, to get qualified workers is certainly not easy as they have to compete with other companies. The important of qualified workers for the company is partly to make the company wheels to achieve optimally the desired goals, that is, to improve the effectiveness and efficiency of operations that can bring the organization to success. Talent management will greatly help the success of the desired goals by determining, finding, developing and managing and maintaining talented employees in an effort to achieve strategic goals and future business needs. This study, by using both primary and secondary data aims at examining effects of talent management, leadership style and motivation on the employees performance of the Information technology industries in West Jakarta and West Java, Indonesia. This study found that talent management has significant effect on Employee Performance. Leadership Style influences Employee Performance and Motivation have significant influence toward Employee Performance. Also, Management Talent, Leadership Style and Talent Management Motivation have a positive and significant effect partially or simultaneously on Employee Performance. Thus, concern to these significant variables is a must for the information technology industries under surveyed in increasing their employees performance.
Read Full Paper Reference this paper Page 20-26


THE FACTORS THAT INFLUENCE JOB SATISFACTION: A STUDY OF MINING COMPANIES
Irwan Usman, Haris Maupa, Siti Haerani, Muhammad Idrus Taba

Abstract: This study aims to analyze the effect of recognition factors of competency certification that affect job satisfaction in mining companies. The design of this study is a survey to obtain and collect primary data so that it can explain the influence between variables. This research was conducted at several mining companies in the Eastern Indonesia Region. The study population was employees of three mining companies, then sampling systematically randomized. The analysis technique used is multiple linear regression analysis to explain the influence between variables. The results showed that the variables of education, professional, industry, and self-taught recognition had a significant effect on job satisfaction. The contribution of this study explains that the recognition adopted from the recognition theory has given a large degree of influence on emotions and positive attitudes for employees.
Read Full Paper Reference this paper Page 27-31



Published Issue:

Scirj, Volume VI [2018]
November Issue [In Process]
October Issue
September Issue
August Issue
July Issue
June Issue
May Issue
April Issue
March Issue
February Issue
January Issue

Scirj, Volume V [2017]
December Issue
November Issue
October Issue
September Issue
August Issue
July Issue
June Issue
May Issue
April Issue
March Issue
February Issue
January Issue










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