Browsing by Author "Guruge, M.L"

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Knowledge and Attitudes Regarding Emergency Contraceptive Pills among SLIIT Undergraduates in Sri Lanka- Preliminary Findings of a Descriptive Cross-sectional Study
(Faculty of Humanities and Sciences, SLIIT, 2022-09-15) Palanikumar, S; Rathnayake, R.M.A.P.M; Wijedasa, H; Dassanayaka, C. D. K; Anthony, K.,; Guruge, M.L; Edirisinghe, N.P
The chance of unwanted pregnancies is higher for young people in the reproductive age. The Emergency Contraceptive Pill (ECP) is a hormonal form of birth control recommended for unprotected sexual activities when standard contraceptive methods are not utilized. As a result, it is crucial to research this topic since unsafe abortions in Sri Lanka result in increased maternal mortality rates. This study aims to assess the knowledge and attitudes toward emergency contraceptive pills of undergraduates at the Faculty of Humanities and Sciences at Sri Lanka Institute of Information Technology (SLIIT). A descriptive cross-sectional study was conducted among the first, second, and third-year undergraduates who followed their course in English at the Faculty of Humanities and Sciences, SLIIT. Study participants were chosen by a stratified random sampling method. Data was collected using self-administered questionnaires distributed via Microsoft forms. Data was presented using descriptive statistics by frequencies and percentages. The analysis included 84 participants, mostly third-year students (56%) and females (79.8%). Most of the students, (73.8%), agreed with the idea that ECP should be easily accessible. A higher number of students, (76.2%), mentioned that they would recommend ECP to a friend or a relative if needed, while (23.8%) mentioned that they would not recommend it. In conclusion, the knowledge of ECP among the participants was satisfactory, and the attitudes toward ECPs were positive.
Open Access
Predictive Model for Monthly Made Tea Production in Sri Lanka
(Department of Mathematics and Statistics, Faculty of Humanities and Sciences, SLIIT, 2025-10-10) Subasinghe, C; Wattegedara, N; Silva, T; Balasooriya, S; Dassanayake, K; Guruge, M.L
This study forecasts monthly tea production in Sri Lanka by developing a suitable time series model to identify future trends in the national tea industry. The analysis is based on monthly made tea production data from January 2000 to June 2025, obtained from the Central Bank of Sri Lanka and the Sri Lanka Tea Board. After confirming the non-stationarity of the original series through the Augmented Dickey-Fuller test, both first-order and seasonal differencing were applied to achieve stationarity. The Autocorrelation Function (ACF) and Partial Autocorrelation Function (PACF) plotswere used to identify potential model structures.