Research Publications Authored by SLIIT Staff

Now showing 1 - 3 of 3

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Sell-Net: Mobile Based Solution to Strengthen the Seller-Buyer Relationship of Small-Scale Businesses in Sri Lanka
(IEEE, 2022-01-21) Wickramarathne, N; Siriwardana, U; Karunarathna, A; Jeremiah, P; Thelijjagoda, S; Krishara, J
As a developing country, Sri Lanka is getting a greater number of people who are using an online application and online purchase for various kinds of items nowadays. The number of users is highly increasing day by day. These online applications and their usages have a major role in the economy of Sri Lanka. The usage of online purchasing is widely observed in Sri Lanka as well it has been observed that most of the delivery persons and small-scale business people are facing many challenges while using these applications in practical ways. This is an application that connects small-scale business sellers directly to the buyer on an online platform. Goods Delivery vehicles are widely spread in Sri Lanka with traveling their paths. Most of the time they traveled with some extra free spaces. Authors are trying to manage these vehicles to give up an extra service and get extra income with proper management. It tries to improve the service to get more people an advantage and build up their businesses. This app aims at three main user areas: seller, delivery persons, and buyer. The buyer can place the order for these goods through the online platform and then the system calculates and find the nearest driver to the seller and choose the driver. From using the app driver sees the best path to the seller. Also, there's an algorithm to calculate ordered goods type, quantity, size and select which vehicle is suited for delivering these goods. The delivery person delivers those goods to the buyer by their path. The System tracks down until the buyer received their goods. and also detecting the fake review also if buyer using this application never get unsatisfied for the practical usage. The outcome of this project will help to develop a reliable seller-buyer relationship for small-scale business parties and improve their business activities.
Open Access
Machine Learning Modelling of the Relationship between Weather and Paddy Yield in Sri Lanka
(Hindawi, 2021-05) Ekanayake, P; Rankothge, W; Weliwatta, R; Jayasinghe, J. M. J. W
This paper presents the development of crop-weather models for the paddy yield in Sri Lanka based on nine weather indices, namely, rainfall, relative humidity (minimum and maximum), temperature (minimum and maximum), wind speed (morning and evening), evaporation, and sunshine hours. The statistics of seven geographical regions, which contribute to about two-thirds of the country’s total paddy production, were used for this study. The significance of the weather indices on the paddy yield was explored by employing Random Forest (RF) and the variable importance of each of them was determined. Pearson’s correlation and Spearman’s correlation were used to identify the behavior of correlation in a positive or negative direction. Further, the pairwise correlation among the weather indices was examined. The results indicate that the minimum relative humidity and the maximum temperature during the paddy cultivation period are the most influential weather indices. Moreover, RF was used to develop a paddy yield prediction model and four more techniques, namely, Power Regression (PR), Multiple Linear Regression (MLR) with stepwise selection, forward (step-up) selection, and backward (step-down) elimination, were used to benchmark the performance of the machine learning technique. Their performances were compared in terms of the Root Mean Squared Error (RMSE), Correlation Coefficient (R), Mean Absolute Error (MAE), and the Mean Absolute Percentage Error (MAPE). As per the results, RF is a reliable and accurate model for the prediction of paddy yield in Sri Lanka, demonstrating a very high R of 0.99 and the least MAPE of 1.4%.
Open Access
Impact of SERVQUAL model dimensions for Customer Satisfaction towards Vehicle Leasing Providers in Sri Lanka
(Human Resource Management Academic Research Society, 2019-02-12) Pathirana, U.P. G.Y
Vehicle leasing providers plays a big role in automobile buying and selling. Science vehicle leasing is coming under the service category customer satisfaction can be access through the quality of service provided by vehicle leasing providers. So in order to understand this SERQUAL model was used. So in order to reach research objectives data was gathered though a questionnaire with a sample of 100 recent customers of vehicle leasing service providers. From the data analysis it was found that customers are moderately satisfied about the service they are receiving and there is a positive relationship in between customer satisfaction and service quality which indicates that there is a high impact of responsiveness for the service quality.

Research Publications Authored by SLIIT Staff

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