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Ionospheric scintillation is a common phenomenon in the equatorial, auroral, and polar areas, posing a threat to the Global Navigation Satellite System's (GNSS) operation. This ionospheric effect is thought to impact satellite signal propagation, hence, lowering positioning accuracy. Therefore, detecting ionospheric scintillation is critical in enhancing GNSS performance, particularly at low latitudes with severe amplitude scintillation. This paper investigates the effects of ionospheric scintillation on GPS signals at UNIMAS station, the East part of Malaysia. This study aims to identify the occurrence of ionospheric scintillation by calculating the index of scintillation strength during solar maximum 2014. The amplitude scintillation, which is measured in the S 4 index is obtained and classified accordingly from the data recorded at the UNIMAS station. The results have shown that strong scintillation (S 4 ≥ 0.5) occurred in the spring (April) and autumn (September and October) seasons, reaching 8 incidents. This paper also presents the diurnal, seasonal, and solar activity dependence of ionospheric scintillation. It is evident that the occurrence of amplitude scintillation is influenced by variations in solar activity, including solar flares and sunspots, as well as diurnal and seasonal changes. These findings provide valuable insights into the behaviour of the ionosphere and its impact on space-based communication and navigation systems. [ABSTRACT FROM AUTHOR]

Biomass gasification technology has gained significant attention as a potential solution for circular economies by converting organic waste into valuable energy and products (Waste-to-Power-to-X). This paper comprehensively evaluates biomass gasification technology from a techno-economic-policy perspective, providing valuable insights for circular economies. It examines technical aspects such as processes, feedstocks, and syngas production, assessing advancements that would improve efficiency and environmental performance by addressing key challenges like tar removal and gas cleaning. Economic feasibility is analysed through a techno-economic assessment, considering capital costs, operational expenses, revenue streams, and potential markets. Real-world examples and case studies offer insights into economic viability of these processes. The paper emphasizes the significance of supportive policy frameworks, discussing stimulus measures like feed-in tariffs, tax incentives, and regulatory reforms to promote biomass gasification adoption. By combining technological, economic, and policy perspectives, this paper provides a holistic reality check of biomass gasification technology, identifying opportunities, challenges, and pathways for leveraging as a sustainable and economically viable solution for waste management and energy production. The findings and insights presented in this paper can assist policymakers, investors, and stakeholders in making informed decisions regarding the implementation of biomass gasification projects in the future. [Display omitted] • These findings serve as valuable insights for exploring the market potential. • Waste materials are transformed into valuable resources. • Effectively managing by-products is crucial in unlocking their economic potential. [ABSTRACT FROM AUTHOR]

Hand, foot, and mouth disease (HFMD) is a viral infection that primarily affects children. The disease is characterized by fever, sores in the mouth, and a rash on the hands, feet, and buttocks. In this case study, we analyze the dynamics of HFMD in children under 15 years old in Malaysia using an age-structured modeling approach. First we prove backward bifurcation for a baseline model which is then extended to an age-structured model. We used data on the incidence of HFMD in Malaysia from 2021 to 2022 to calibrate the model parameters and simulate the disease dynamics. Sensitivity analysis is done by Latin hypercube sampling - partial rank correlation coefficient (LHS/PRCC) method. Simulation is done and the impact of imperfect vaccine and quarantine is explored. Our results show that the dynamics of the disease is mostly driven by children under 5 years old. The model also predicts that vaccination could significantly reduce the incidence of HFMD in Malaysia. Vaccination is most effective when targeted at young children, who are at the highest risk of disease as this will lead to drastic decrease in the incidence of HFMD in all age groups. Our simulations show that quarantining of infected children until they fully recover will reduce the transmission of HFMD, but this strategy needs to be sustained for a sufficient duration to have a significant impact. The result of this paper can inform the development of policies for controlling the spread of HFMD and other infectious diseases in Malaysia and other similar settings. • A novel age-structured mathematical model of HFMD. • Interactions between different age groups are investigated. • The model is calibrated with real-life data. • Sensitivity analysis is performed to illustrate the role of parameters with respect to disease control. • Prove backward bifurcation due to the incorporation of imperfect vaccination. [ABSTRACT FROM AUTHOR]

This paper presents a survey assessing factors contributing to the public acceptance of hydrogen as a fuel for vehicles in Malaysia. For the survey, a set of questionnaires was prepared in Google Forms and distributed to respondents through social media (WhatsApp, Facebook, Messenger, and Telegram). The survey was conducted during the movement order control in Malaysia due to the global pandemic, and the responses were collected from November to December 2021. One hundred seventy-six local respondents voluntarily participated in the survey. The responses were analysed using non-parametric statistical tests in the Statistical Package for the Social Sciences (SPSS). The highest number of respondents from the 18–25 age group is 101 (57.39 per cent), followed by 26–35 (26.7 per cent) and 36–45 (7.95 per cent). The statistical analysis of the survey shows that socio-demographics is a factor influencing public acceptance. The Spearman correlation test shows a positive correlation between Malaysia's environmental awareness and the potential to use a hydrogen-powered car; hence, there is a good chance of Malaysian acceptance of using hydrogen as fuel. Safety and public perception of hydrogen-powered cars also indicate a positive correlation, where the R- values for all questions are more than 0.5, indicating that safety is a factor that shapes public acceptance. Although the number of samples does not represent the population, it provides a reasonable basis to examine the influencing factors of public acceptance of hydrogen as a fuel for vehicles. [ABSTRACT FROM AUTHOR]

This paper examines the antecedents of cashless payment systems among businesses in Malaysia. The adoption of cashless payment systems by businesses has the potential to reduce the costs related to handling huge amounts of cash in the market and enhance transaction speed. Unfortunately, its current adoption in Malaysia is still small and very little is known about the factors. A seven-factor model based on the TOE framework was developed and tested. The partial least square (PLS) statistical approach was employed to analyze data collected from 200 business entities in Malaysia. The results reveal that compatibility and technology competence have higher significant relationships with the adoption of cashless payment systems. Management support, firm critical mass, competitive pressure, and information intensity are significantly related to the adoption of cashless payment systems, while firm size is not associated with it. The findings of this study provide significant practical implications for Malaysian stakeholders and technology vendors to recognize factors that affect a firm's adoption of cashless payment systems to support business transactions. By investigating the phenomenon through the TOE framework, this study presents an integrated model of cashless payment systems by businesses. Our findings also offer guidance for future application of the PLS method in cashless payment and related research. The paper provides a more holistic understanding of the factors influencing cashless payment systems among businesses. [ABSTRACT FROM AUTHOR]

This paper studies lessons learned from Covid-19 disaster management in Malaysia using machine learning techniques. First, we crawl Twitter data related to 'covid' with geo-location bounding-box. Then we contribute to propose LDA topics generated on citizen perception containing negative sentiment towards government response; hence, we represent the data using VOSviewer and D3.js to emphasize topic modeling with respect to timestamp due to pattern analysis. As results, LDA-based topic visualization may recognize the accounts' pattern that are assumed as the pillars of disaster management in Malaysia. This study gains insights from political science field. Implications of the results are also discussed. [ABSTRACT FROM AUTHOR]

Energy plays a crucial role in human life as it is necessary for survival and enables us to perform daily activities. The passage of time has driven progress, with various tools, machines, and devices created to facilitate human affairs. Everything is very dependent on Energy. Unfortunately, the prevalent reliance on fossil fuels as the primary energy source has resulted in an environmental disparity attributed to greenhouse gas emissions. Besides, the depletion of fossil fuel reserves is a long-term concern for nations involved in fossil fuel production including Malaysia, which necessitates a delicate equilibrium between escalating energy demands and escalating pollution levels. This review paper aims to highlight the potential of renewable energy based on green hydrogen in Malaysia. The energy scenario in Malaysia has been reviewed by discussing energy demand, current population, energy policy synopsis, conventional energy sources, carbon emissions, and the direction of renewable energy in Malaysia. Besides, the conceptual framework for hydrogen as renewable energy was discussed covering the hydrogen economy, production technology, storage, and energy production using green hydrogen. Finally, potential applications for using hydrogen energy have been presented so that the future direction of using this alternative energy can be well planned in Malaysia. •An overview of hydrogen energy as Malaysian alternative energy is comprehensively discussed. •The hydrogen energy prospects are described in detail such as hydrogen economy, production, and consumption. •The progress of hydrogen energy implementation in Malaysia is studied towards embarking on this effort. [ABSTRACT FROM AUTHOR]

This research is the continuation from the previous paper which has been published. The focus of this paper is to analyse the tropospheric scintillation which consists of both fades and enhancements and the worst-month of scintillation fades and enhancements. This analysis is then compared against the six scintillation prediction models, namely Karasawa, ITU-R, Van de Kamp, Otung, Anthony-Mandeep and Nadirah-Rafiqul. The result shows that both measured scintillation fades and enhancements are 0.50 dB and 0.48 dB at 0.01% of time. Whereas the other six scintillation models have the following reading for the scintillation amplitude (both fades and enhancements) respectively: 0.44 dB and 0.36 dB (Karasawa), 0.42 dB (ITU-R only for fades but not enhancements), 0.23 dB for both (Van De Kamp), 0.70 dB and 0.68 dB (Anthony & Mandeep) and 0.38 dB and 0.33 dB (Nadirah & Rafiqul) at 0.01% of time. Otung has the highest scintillation fades and enhancements with values of 1.29 dB and 0.67 dB respectively. On the other hand, the measured worst-month of both scintillation fades and enhancements have the highest amplitude at 0.01% of time, which are 0.88 dB and 0.90 dB if compared to the annual cumulative distribution function (CDF), which yield 0.50 dB and 0.48 dB respectively. The month of February 2016 is declared to be the worst-month because it has the highest values for the scintillation fades and enhancements. Furthermore, the percentage fractional error and Root Mean Square (RMS) error are shown. Particularly at 0.01% of time, Van de Kamp has the highest fractional error for both scintillation fades and enhancements which are 100.8% and 100% respectively. Similarly, the same for RMS errors for both scintillation fades and enhancements with the values of 78.3% and 65.3% respectively. Whereas the other models have higher values for both percentage fractional error and RMS error except for Karasawa with the values of 11.6% and 17.2% for fades and enhancements respectively. Thus, this model is suitable to be used in Malaysia. [ABSTRACT FROM AUTHOR]

China has issued a series of biodiesel-related policies to alleviate energy shortage anxiety and reduce carbon emissions. However, no other provinces or cities in China widely utilize biodiesel except Shanghai. This article firstly conducted a comprehensive estimation of the potential botanical biodiesel capacity in China. Then, we examined why biodiesel advancement in China was stagnated by comparing biodiesel-related policies in pioneer countries such as Malaysia and Indonesia. We found the highest mix ratio will be ∼13 % if all potential botanical oils are added to petrochemical diesel and an addition of 3 % blending ratio can be achieved if waste cooking oils are effectively utilized. We concluded that despite the encouragement from policies, insufficient materials and lack of downstream consumptions may be the major reasons for the sluggish development of biodiesel in China. If microalgae biodiesel production technology is overcome in the future, China can compulsorily mix biodiesel on a large scale. This paper provided a comprehensive review of biodiesel-related policies in Malaysia, Indonesia and China, and figured out the key problems that hinder the promotion of biodiesel, helping to understand the dilemma and drive the potential development of biodiesel in China. • Potential biodiesel capacities were estimated among various provinces in China. • The highest biodiesel mix ratio will be ∼13 % if adding all potential botanical oils. • The southern China is more likely to prioritize blending biodiesel than the north. • Biodiesel-related policies in Malaysia, Indonesia and China were fully reviewed. • Inadequate materials and lacking downstream consumption hindered biodiesel growth. [ABSTRACT FROM AUTHOR]

Grassroots Innovations (GRIs) mostly represent incremental changes that are supported by local values and culture. In this respect, government efforts to promote and strengthen GRIs movements should take into consideration customised and targeted policy instruments that are different from the traditional innovation and development agendas. Based on this principle – and in the context of three Southeast Asian countries such as Malaysia, Thailand and the Philippines – this paper attempts to investigate the current public policy contexts and common instrumental mechanisms for public interventions supporting GRIs. The governing context alluding to policy support is elaborated to provide a taxonomy of GRIs policy measures germane to political-governance windows. The findings show that Malaysia has explicit policy support for GRIs, whereas innovators in Thailand and the Philippines indirectly benefit from broader inclusive development and innovation policies. There are three scenarios of instrumental mechanisms supporting GRIs – these show the differences in approaches adopted by national governments in terms of their perception of GRIs, modes of intervention and outcome expectations. This paper also highlights several policy concerns useful for future endeavours regarding public interventions on GRIs and rural development. • Enrich GRIs literature with evidence- and rural context-based insights useful for policymakers. • Governance and institutional arrangements for GRIs. • An elaborative mechanism supporting those who are stateless, informal or illegal migrants. • Criticisms in justifying intervention and salient concerns for policy supporting GRIs. • A taxonomy to GRIs policy measures germane to political-governing windows. [ABSTRACT FROM AUTHOR]

Malaysia is one of the leading producers and exporters of oil palm, and the industry contributes significantly to the growth of the national economy. Nonetheless, the consequential oil palm biomass (OPB) with a potential yield of ∼97 million tonnes annually presents both challenges and opportunities, demanding innovative waste management solutions. This paper explores the feasibility of converting OPB into valuable commodities by employing concentrated solar-driven pyrolysis. A detailed overview of the biomass produced from oil palm plantations and mills is provided, along with a discussion of the industry stakeholders and associated biomass management challenges. The pyrolysis of OPB is explored, emphasizing benefits, potential barriers, and techniques. The focus then shifts to Malaysia's solar potential, which ranges from 1470 to 1900 kWh/m2 annually. The potentials of solar pyrolysis are explored, encompassing discussions on solar concentrator types, reactors, and the distribution of solar and OPB resources throughout Malaysia. The paper then recommends Tawau in Sabah, as an ideal location for OPB solar pyrolysis, due to its solar availability (up to 1873 kWh/m2), potential OPB resources from 19 mills and 241 plantations, and supportive infrastructure. The paper proposes solar-driven pyrolysis as a sustainable solution for Malaysia's OPB management, offers insights for policy initiatives and technological innovations in optimizing OPB and solar energy utilization. • Analyzes oil palm biomass potential for solar pyrolysis in Malaysia. • Explores solar resources in Malaysia for solar-driven pyrolysis. • Examines solar concentrators and reactors for pyrolysis. • Identifies potential city, as the optimal location for solar pyrolysis. • Discusses commercialization challenges of solar-driven pyrolysis. [ABSTRACT FROM AUTHOR]

• Pilot study of solar/hybrid/storage system for vertical farming under tropical climate condition with a case study at Malaysia. • Energy utilization and management via optimized building geometry modeling integrated with energy yield estimation tool to evaluate the potential of integrating green energy into urban agriculture. • Comprehensive analysis and assessments including technological, economic and environmental aspects of the proposed work. • The proposed work is evaluated under different design configuration (grid connected, stand alone, hybrid, storage etc) considering various optimization and design requirements and real-life constraints. • Comparative studies with hypothetical model and verification with additional energy modeling tool. Human population is projected to reach 9.7 billion in 2050 and strike 11.2 billion by 2100. Residence shift from countryside to cities will occur and the human population resides in the cities is envisaged to rise from 55% to 68%. Vertical farming was proposed to address food insecurity caused by overcrowded population and farmland shortages. The compound annual growth rate (CAGR) of vertical farming in the Asia Pacific is forecasted to grow at 22.1% with a market size reaching USD 2,101.0 million by 2024. Malaysian government encourages the implementation of vertical farming as the production of major agricultural commodities has contracted by 3.4% from 2015 to 2017. However, high energy consumption is one of the shortcomings of a vertical farm as the estimated annual energy consumption for each square meter of growing area is 3500 kW h. Thus, this paper proposes an optimized building geometry modeling integrated with energy yield estimation tool to evaluate the potential of integrating green energy into urban agriculture. This research examines the load demand in the vertical farming systems and develops solar/hybrid/storage for vertical farming system with energy yield, performance ratio, economics and environmental assessments. Preliminary resources assessment by analyzing the solar radiation of the sites was carried out at stage 1. At stage 2, load consumption was calculated, and specifications of the system were justified. Stage 3 included the development of solar PV system for the vertical farms, the economic evaluation in the context of net present cost (NPC), levelized cost of energy (LCOE) and investigation of the environmental impact. Grid-connected and standalone solar PV systems were developed for comparative studies. The estimated daily energy consumption for vertical farms in Selangor and Kuching was 430.116 kW h and 1002.024 kW h. Energy generated by grid-connected solar PV systems supported 11.6% and 8.35% of the load consumption in Selangor and Sarawak. The performance ratios of grid-connected solar PV systems in both selected sites were 82.22% and 82.56%. The finding proved that proposed work has significantly reduced the dependency of the utility grid. Additionally, the LCOE with solar PV integration vertical farming system appeared to be lower than the LCOE of the grid and lower CO 2 emission. This paper serves as a reference guide to the vertical farming stakeholders, national policy-decision makers and non-profit organizations who planned for similar initiatives especially those within the tropical climate regions. [ABSTRACT FROM AUTHOR]

Enhanced mobile broadband is an essential target in fifth-generation (5G) networks with higher demands among service consumers. It offers very high-speed Internet connections for several geographical areas: urban, suburban, and rural. Many mobile network operators (MNOs) continuously monitor the quality of service in terms of multiple services to guarantee high network performance. To the best of our knowledge, no extensive studies and analyses are conducted on mobile broadband (MBB) services that cover various implementation scenarios and several performance metrics. This study comprehensively analyzes the existing MBB performance in an urban area: Cyberjaya City, Malaysia. The measurement data were collected through drive tests from various MNOs supporting 3G and 4G technologies: Maxis, Celcom, Digi, U Mobile, and Unifi. Several performance metrics, such as signal quality, throughput (downlink and uplink), ping, and handover, were measured during the drive tests. The data measurements were conducted in two scenarios: outdoor and indoor environments. Measurement results of the outdoor drive test demonstrate that the maximum average throughput with downlink and uplink data rates is 14.3 and 7.1 Mbps, respectively, whereas the minimum average ping and loss are 36.5 ms and 0.14, respectively, for all MNOs. However, the in-building measurements achieve an acceptable overall average data rate of 2 Mbps. This paper provides several suggestions and recommendations for MBB providers to improve their performance networks and quality of experience to meet customers' satisfaction. Several limitations not considered in this study and can point to possible future work are presented. [ABSTRACT FROM AUTHOR]

Many industries operate or run 24 h and seven days a week with downtime only for maintenance and repair in manufacturing facilities. This continuous operating trend allows for a higher production volume since the industry has relentless pressures on cost containment to maintain profit margins. However, the practice poses high risks of occupational injuries or major accidents. Shift working hours could lead to various safety and health and significantly impact the workers' well-being. Based on this fact, this paper presents a correlation analysis of shift works with sleep patterns, fatigue, and work injuries in food manufacturing plants, specifically in Malaysia. A survey using a set of questionnaires was conducted on two food manufacturing industries in Selangor, Malaysia. The industry operates continuously with a pre-planned downtime due to market globalization, industrialization transformation, and the rising demand for food. The companies in the food manufacturing industry held frequent internal and external audits to ensure the food quality was not being compromised and adhered to the local acts and regulations. To ensure the company runs continuously, the companies practice slow rotation schedules of shift work systems, where workers change to a new shift every three months. The companies have three working shifts per day, namely the morning shift (7.00 am to 3.00 pm), the afternoon shift (3.00–11.00 pm) and the night shift (11.00 pm to 7.00 am). Based on the statistical analysis, many workers prefer the day shift over the afternoon and night shifts. Sleep patterns and fatigue are significantly correlated with work-related injuries. Due to shift work, the workers tend to have fewer sleep hours, resulting in poor sleep patterns, which could increase the possibility of work injuries. In conclusion, workers' physical, mental and social well-being in any industry should be promoted and maintained to the highest degree. [ABSTRACT FROM AUTHOR]

• Safety Leadership influences both safety motivation and safety motivation. • Safety knowledge and motivation mediates safety leadership and safety behavior. • Effective safety leadership in hospitals indirectly leads to better safety behavior. • Safety leadership consist of caring, controlling, and coaching dimensions. • Self-efficacy theory sheds light on safety leadership and safety behavior. Introduction: This paper investigates the relationships among safety leadership, safety motivation, safety knowledge, and safety behavior in the setting of a tertiary hospital in Klang Valley, Malaysia. Method: Underpinned by the self-efficacy theory, we argue that high-quality safety leadership enhances nurses' safety knowledge and motivation and subsequently, improves their safety behavior (safety compliance and safety participation). A total of 332 questionnaire responses were gathered and analyzed using SmartPLS Version 3.2.9, revealing the direct effect of safety leadership on both safety knowledge and safety motivation. Results: Safety knowledge and safety motivation were found to directly and significantly predict nurses' safety behavior. Notably, safety knowledge and safety motivation were established as important mediators in the relationship between safety leadership and nurses' safety compliance and participation. Practical Applications: The findings of this study offer key guidance for safety researchers and hospital practitioners in identifying mechanisms to enhance safety behavior among nurses. [ABSTRACT FROM AUTHOR]

This paper reviews the outbreaks of SARS and Covid-19 in Taiwan and their implications for public health and policy. SARS, a novel coronavirus that emerged in China in 2003, caused severe respiratory illness and spread rapidly across Asia, including Taiwan. Covid-19, another novel coronavirus that originated in China in 2019, posed a similar threat to Taiwan due to the high volume of cross-border travel. However, Taiwan learned from its experience with SARS and implemented timely and effective measures to contain the virus and protect its population. The paper draws on evidence from various sources, such as reviews, correspondence, and diaries, to examine how Taiwan responded to both epidemics. It highlights the role of the government, the health care system, the media, and the public in preventing and controlling the spread of infection. It also compares the economic and social impacts of SARS and Covid-19 on Taiwan and other countries. The paper argues that Taiwan's success in managing both epidemics demonstrates its maturity and competence in epidemic prevention and preparedness. It also suggests that Taiwan's model can serve as a reference for other countries facing similar challenges. The paper concludes by acknowledging the ongoing threat of emerging infectious diseases and calling for global cooperation and vigilance. [ABSTRACT FROM AUTHOR]

This paper explains a new Adaptive Path Sensing Method (APSM) for indoor radio wave propagation prediction. Measurement campaigns, which cover indoor line-of-sight (LoS), non-line-of-sight (NLoS) and different room scenarios, are conducted at the new Wireless Communication Centre (WCC) block P15a) of Universiti Teknologi Malaysia (UTM), Johor, Malaysia. The proposed APSM is evaluated through a computerized modelling tool by comparing the Received Signal Strength Indicator (RSSI) with measurement data and the conventional Shooting-Bouncing Ray Tracing (SBRT) method. Simulations of the APSM and SBRT are performed with the same layout of the new WCC block P15a by using the exact building dimensions. The results demonstrate that the proposed method achieves a better agreement with measured data, compared to the conventional SBRT outputs. The reduced computational time and resources required are also important milestones to ray tracing technology. The proposed APSM method can assist engineers and researchers to reduce the time required in modelling and optimizing reliable radio propagation in an indoor environment. [ABSTRACT FROM AUTHOR]

River, which supply 90% of the readily accessible water, are key elements of universal water source system. Terengganu River situated in Terengganu, Malaysia is a modern busy city known for tourism, fishing, and industry. Due to that, it has increased risk of water pollution exposure. Therefore, this paper proposes unsupervised ML include Autoencoder and Self-Organizing Map (SOM) for clustering water pollution area along the Terengganu River. Then, uses Silhouette analysis to assess the total of optimum clusters in a dataset. Next, applies Adjusted Rank Index (ARI) to discover the finest comparing within original data with Autoencoder and SOM. Lastly, applies Elbow method to double verify the most excellent clusters for each clustering algorithm. Lastly, lists of polluted area in each cluster are retrieved from 14 main sampling stations with 24 water quality parameters, including 405 water samples. Result shows different cluster with different water samples. Thus, offer different strategies to manage polluted area for Terengganu River. [ABSTRACT FROM AUTHOR]

• Hybrid solar desalination system. • Active mode operation and passive mode operation. • Solar desalination systems efficiency and economic analysis. • Trend in distillate cost, and yield by hybrid solar desalination systems. • Innovation type, feedwater, weather variabilities, operation mode impact on distillate quantity. In this paper, a hybrid solar desalination system was fabricated and incorporated with a water heater powered by a photovoltaic (PV) system. It was experimentally evaluated at Universiti Teknologi Petronas, Malaysia. Daytime operating conditions without the use of a PV system were considered for the conventional operation, while the use of PV alone or combined with direct solar radiation was considered as the modified system. This study was carried out to determine the freshwater yield, weather variabilities impact on yield, economic analysis, and system efficiency of hybrid solar desalination systems. An encyclopaedic review of five years of different researchers from different countries was critically analysed and compared with this study to see their trends and relationship. Within the study period, solar still distillate cost ranges from 0.0051 to 0.8857$/L, and 0.006 to 0.789$/L for the modified and conventional systems respectively. Similarly, the distillate cost for this study is 0.0374$/L and 0.0892$/L for the conventional and modified systems respectively. Also, the distillate yield ranges from 0.93 to 24.3 L/m2.day with an average of 12.1 L/m2.day, for the modified system, and 0.55 to 6.63 L/m2.day with an average of 3.35 L/m2.day for the conventional systems. The hourly system efficiency is 30.07 %, and 8.29 % for the modified and conventional systems respectively. Solar still is economically reasonable with good efficiency as obtained from the result. The findings also suggested that researchers should target a distillate yield of at least 6 L/m2.day and a distillate cost of 0.2$/L or lower for innovation, for a good and economical system. [ABSTRACT FROM AUTHOR]