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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Sigma&Mu: Journal of Mathematics, Statistics and Data Science
Abdullahi, Ibrahim
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Computer Science & IT Education Mathematics

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Usability Evaluation of Mobile USSD-SMS Interactive Result Checking System for Resource-Constrained Settings (MIRCS) using System Usability Score (SUS). Muhammad, Zainab Tassala; Kawu, Abdullahi Abubakar; Abdullahi, Ibrahim; Bawa, Musa
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 2 (2023): Research Article, Volume 7 Issue 2 April, 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i2.12383

Abstract

Mobile phones, especially smartphones have impacted the way we access information related to education. For instance, students are now able to view their results using a smartphone on a browser. However, these result systems that make it possible for students to view their exam results through web browsers or emails on their mobile devices need an internet connection for the process to work as expected. Also, given the indigent nature of most students in developing countries, this creates a digital divide for students that do not own smartphones. With many students coming from rural and often low economic status homes, not many can afford smartphones. Hence, leveraging on the potentials of Unstructured Supplementary Service Data (USSD) and Short Message Service (SMS), a Mobile USSD-SMS Interactive Result Checking System for Resource-Constrained Settings (MIRCS) was developed to provide a device agnostic accessible Result Checking System. This study evaluated MIRCS using System Usability Scale (SUS) to verify the effectiveness from a usability point of view. The result of the evaluation shows that the MIRCS is usable which received grade C (66.21), although it does not meet the acceptable level specified by SUS. Further analysis of the interaction with respondents suggests some areas of improvement to include cost of service, high availability and accuracy.
Cured Fraction Models on Survival Data and Covariates with a Bayesian Parametric Estimation Methods Madaki, Umar Yusuf; Babura, Babangida Ibrahim; Sani, Muhammad; Abdullahi, Ibrahim
Sigma&Mu: Journal of Mathematics, Statistics and Data Science Vol. 1 No. 1 (2023): March
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/sigmamu.v1i1.45

Abstract

A cure fraction models are usually meant for survival data that contains a proportion of non subject individuals for the event under study. In order to estimate the cure fraction, two models namely mixture model and non-mixture model were commonly deployed. In this work, mixture and non-mixture cure fraction models were presented with survival data structure based on the beta-Weibull distribution. The beta-Weibull distribution is a four parameter distribution developed in this work as an alternative extension to the Weibull distribution in the analysis of lifetime data. The proposed extension allows the inclusion of covariates analysis in the model, in which the estimation of parameters were done under Bayesian approach using Gibbs sampling methods
Co-Authors Babura, Babangida Ibrahim Bawa, Musa Kawu, Abdullahi Abubakar Madaki, Umar Yusuf Muhammad, Zainab Tassala Sani, Muhammad