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GODFREY OISE
University of Benin
Agriculture, Biological Sciences & Forestry Computer Science & IT Decision Sciences, Operations Research & Management Mathematics Public Health

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A Web Base E-Waste Management and Data Security System GODFREY OISE
RADINKA JOURNAL OF SCIENCE AND SYSTEMATIC LITERATURE REVIEW Vol. 1 No. 1 (2023): RADINKA JOURNAL OF SCIENCE AND SYSTEMATIC LITERATURE REVIEW (RJSLR)
Publisher : RADINKA JAYA UTAMA PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56778/rjslr.v1i1.113

Abstract

With the introduction and expansion of ICT, there has been an increase in e-waste and the safety of information in e-waste. An empirical study was conducted in Benin City using a well-designed questionnaire distributed among university college students in higher education, telecommunication providers, civil servants, computer dealers, computer technicians, and e-waste collectors to suggest a framework for e-waste management and an information security tool. An average of four hundred respondents have been surveyed. The data were analyzed using SPSS, and the findings show that the human eye is inadequate for e-waste management and information security tools. The findings also revealed a well-known horrible way of thinking closer to the safety of statistics in damaged systems, owing primarily to a lack of information and the inconveniences associated with it. To address this, a framework and a functional online net website have been improved, which are based on reputation and sensitization of e-waste management and information security. This tool has been suggested as a proper e-waste management and information security tool.
A Decision Support System for Decongesting Prison in Edo State GODFREY OISE
RADINKA JOURNAL OF SCIENCE AND SYSTEMATIC LITERATURE REVIEW Vol. 1 No. 2 (2023): RADINKA JOURNAL OF SCIENCE AND SYSTEMATIC LITERATURE REVIEW (RJSLR)
Publisher : RADINKA JAYA UTAMA PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56778/rjslr.v1i2.114

Abstract

Three prisons in Edo state-Okho, Ozalla Farm, and Ubiaja-are used as case studies in this study, which focuses on the challenges of decongesting the country's jail system. The study's objective was to develop a decision support system (DSS) to aid in ranking and recommending inmates based on an acquittal likelihood factor who should be fast-tracked for a speedy trial, bail, or relocation/recommendation for other correctional techniques or facilities within the Nigerian legal system; aside from the prison. The paper presents a model for a decision support system that incorporates three multi-criteria decision-making systems, SAW, TOPSIS, and AHP, as well as six factors: those who are awaiting trial, detained, sentenced to life, condemned inmates, long-term offenders, and those who have received only a light sentence. While assigning weights to rank the prisoners, consider their dependency, age, gender, health status, and percentage of their sentence served. Experts, including two magistrates, ten prison wardens, five attorneys, ten convicts, six pastors, and nine NGO employees, engaged in a questionnaire poll to predetermine weights. The DSS offers the decision maker two different levels of guidance, namely (a) a beginner mode and (b) an expert mode. The beginner mode is intended for decision-makers who are not familiar with the multi-criteria process. The advanced mode is employed when the decision-maker is conversant with the MA method and can choose a particular method using the predefined weights.
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