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Volume 7 Number 1 March 2021

The Desirable Attributes of the Slaves of the Most Beneficent a Reflection on the Qur’anic Verses (25:63-77)


Authors: Dr. Hamda Bint Khalifah Almuheiri ; Prof. Dr. Mohammed Abullais
Pages: 36-42
DOI: doi.org/10.32861/jssr.71.36.42
Abstract
The Qur’an describes in so many of its verses, particularly those in its chapter Surah al-Furqan (25:63-77), the commendable attributes of the people who are sincerely devoted to Allah, the Most Beneficent. In these verses, the Qur’an, indeed, invites its followers to develop a society where the members demonstrate unique behavioral pattern, dignity, leniency, humility, serenity, patience, modesty, abstinence from frivolous acts, and honesty in their public and private dimensions of life. The methodology applied in the discussion is critical analysis. The conclusion arrived at is that Muslims need to return to the divine instructions in the Qur’an with a view to getting inspired as to the exemplary human qualities in the society.

The Contribution of the Griot Kulba Baaba Seebeeri to Cultural Renaissance in Niger


Authors: Adamou Idé Oumarou
Pages: 31-35
DOI: doi.org/10.32861/jssr.71.31.35
Abstract
This paper is an analysis of the heroic songs of the griot Kulba Baaba from Niger. It aims at contributing to promote culture, especially the Songhay-Zarma one, through cultural Renaissance in Niger. It puts emphasis on the respect of the principles of the constitution by encouraging the Nigerien citizen to have certain moral values such as courage, dignity, and loyalty.  Its core focus is to show that oral literature can be one of the means to sensitize the Nigerien citizen to a change of mentality for the well-being of the nation.

COVID-19 Related Information and Psychological Wellbeing: Mediating Role of Employment Uncertainty Among Pakistani People


Authors: Muniba Fatima Zahra ; Ashbeelah Shafaqat Ali ; Ali Ashraf ; Ahsan Farooqi ; Faizan Akhtar
Pages: 22-30
DOI: doi.org/10.32861/jssr.71.22.30
Abstract
In December 2019, the confirmed Coronavirus (COVID-19) patient was initially reported in Wuhan which later spread quickly in other cities of China resulting in severe acute respiratory disorder. This virus is not confined only to China but has affected billions of people living globally. Media has served as an important platform in educating the masses about precautionary measures to be taken by the general public to protect themselves from becoming patients of this fatal virus. Currently, the majority population of the world is getting information through different media platforms. This paper observes the impact of COVID-19 related media coverage role in developing mental problems among the Pakistani people as well as the mediating role of employment uncertainty due to COVID-19 related information. An online questionnaire was circulated to collect data. This study includes 405 respondents using random sampling techniques resided in Lahore. The results explained that most of the people got COVID-19 related information from different media platforms that have developed depression and fear among people. Moreover, this study suggests that government as well as media practitioners should take initiatives to prevent mental health problems, particularly employment certainty developed due to watching COVID-19 related information.

Research in the Instagram Context: Approaches and Methods


Authors: Chen Yang
Pages: 15-21
DOI: doi.org/10.32861/jssr.71.15.21
Abstract
Social media is not only an important component for mass communication but also a toolkit to provide people with various services. As the most representative visual-oriented social networking site in the world, Instagram enables users to take photos and videos, as well as share them on other platforms with its accurate target user positioning. There have been many researchers involving with studies on Instagram’s development from different perspectives. This paper conducts an extensive literature review of Instagram, focusing on the research methods that researchers use to collect and analyze data. Based on the review, it can be seen that most scholars collect Instagram data by capturing API data, designing questionnaires, and face-to-face interviews. Both quantitative methods such as data modeling and regression analysis and qualitative methods such as text analysis and context analysis are used to analyze Instagram features. Researchers also utilized advanced technical tools and analytical methods, such as face recognition, comparative analysis, and case studies, to gain a more insightful perception on Instagram.

Analysis of Employee Performance Based on Competence and Work Climate in Lubuklinggau Barat I District at Indonesia


Authors: Jefirstson Richset Riwukore ; Yohanes Susanto ; Walyusman ; Astri Riance ; R. A. Zubaidah ; Fellyanus Habaora
Pages: 7-14
DOI: doi.org/10.32861/jssr.71.7.14
Abstract
This study aims to see the magnitude of commitment and employee work discipline effect on the employees’ performance at Lubuklinggau Barat I District, in Lubuklinggau Indonesia. This study uses quantitative associative methods, which aim to explain the relationship between the independent variables with the dependent variable. This research was conducted by distributing questionnaires to employees at Lubuklinggau Barat I District, with a total sample of 93 respondents. The sampling technique was conducted by the saturated sample technique. Data were analyzed by using multiple linear regression analysis methods and hypothesis testing. Statistical testing using the SPSS 24.0 application. The results of this study indicate that partially Employee Placement has a positive effect on employee performance, and Work Climate also has a positive effect on employee performance. Simultaneously, Employee Placement and Work Climate have a positive effect on employee performance at Lubuklinggau Barat I District, in Lubuklinggau. With an influence of 65.7% and the remaining 34.3% is influenced by other factors that are not examined. Researchers limit the focus of the problem on employee placement and work climate on employee performance. Performance is also influenced by other variables such as: leadership, work environment, placement, etc. which are still open for in-depth study in subsequent studies. This study comes from the actual problems faced by employees at Lubuklinggau Barat I District, in Lubuklinggau, due to the low quality and quantity of existing employee performance. This study is not merely looking for a relationship between the independent and dependent variables and the magnitude of their effect on performance, but it further links the research results and managerial impacts that arise after the research results are obtained.

Application of CA-Markov Model for the Analysis of Urban Growth in Gumel Town Jigawa State of Nigeria


Authors: Gumel Muhammad Lawan Ali ; Mohd Khairul Amri Kamarudin ; Muhammad Alhaji
Pages: 1-6
DOI: doi.org/10.32861/jssr.71.1.6
Abstract
The land use land cover change and its modeling approach has recently been considered by the scientific community to observe environmental changes. Remote Sensing and Geographical Information System (GIS) give major techniques which can be useful in the analysis at the town locale as well as the city levels. RS data from Thematic Mapper sensor of 1998, 2002, 2010, 2014, and 2018, Operational Land Imager of 2018 were used for the analysis. The study used a supervised classification technique for classification, and Cellular Automata Markovian (CA-Markov) Model analysis was used for future projection of 2038. The result shows that the projected the year 2038 with 0.9079 K-standard value of stimulation, the study further uses Maximum likelihood classifier (MLC) a supervised classification method to classify the images. The study reveals a continuous pattern of urban growth from 3.96 km2 in 2018 to 4.73 in 2038 in terms of settlement growth, dense vegetation has decreased from 11.73 in 2018 to 8.55 in 2038 also shrubland has decreased from 44.82 to 36.30, the last bare land has increased more than all the classes from 162.69 to 173.69. The findings of the present study are useful for planners and decision-makers in sustainable natural resource management.