{"title":"Analyzing the Effects of Error Messages Presentation on Debugging and Programming","authors":"M. Naveed, M. Sarim","doi":"10.30537/sjcms.v4i2.673","DOIUrl":"https://doi.org/10.30537/sjcms.v4i2.673","url":null,"abstract":": Programming is a fundamental skill of computer science students. However, it can be troublesome to learn. It is notable that programming error messages can be hard for beginners to comprehend, hampering progress and prompting disappointment. Effectively, translating compiler error messages is significant to rectify errors and advance toward victory in programming. However, these messages are often hard to understand and pose an obstruction to progress for many beginners. Descriptive messages are helpful for students in the beginning phase of learning a programming language. In this article, the effect of error message presentation on debugging and programming score is analyzed. The controlled experiment suggests that the presentation of error messages can have a strong effect on debugging score and also helpful to increase the programming score. However, no correlation between debugging score and programming score is identified. On the whole, a positive impact of the descriptive error messages is observed during the study.","PeriodicalId":32391,"journal":{"name":"Sukkur IBA Journal of Computing and Mathematical Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44951168","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Significance of National Spatial Planning for Economic Development of Secondary Cities in India: Critical Analysis of JNNURM Programme","authors":"S. Kalwar, I. Memon, S. Qureshi","doi":"10.30537/sjcms.v4i2.658","DOIUrl":"https://doi.org/10.30537/sjcms.v4i2.658","url":null,"abstract":": Secondary cities are the vital economic link along with megacities in the system of cities of a nation. Whereas spatial planning and local economic development are the major factors in fostering regional and national economic development. If the national spatial planning strategies failed to improve economic functions and linkages in the system of cities at a secondary cities level, the disparities among the regions will increase. This can result in a lagging regional economy. Therefore, the national government should develop innovative approaches to stimulate and manage the development of secondary cities. The main purpose of the paper was to critically review the spatial planning strategies carried out at the national level in the developing world. The selection of India as a case study country is based on population density and the presence of a vast network of secondary cities. The paper had critically reviewed the spatial planning strategies carried out in JNNURM National Programme to strengthen the local economic development of secondary cities during 1995-2015. The secondary data collection resources like research papers, reports, and books were used to gather the required data. The results revealed that the JNNURM had focused only on the development of cluster secondary cities around megacities in order to reduce congestion and accommodate the rural immigrants. Unfortunately, the JNNURM neglected the sub-national (regional headquarter) secondary cities, which are vital players for regional economic development. Therefore, it was suggested that the Indian government should also initiate spatial planning strategies and programs for the local economic development of sub-national secondary cities to achieve dual benefits: balanced regional and national economic development and a balanced system of cities.","PeriodicalId":32391,"journal":{"name":"Sukkur IBA Journal of Computing and Mathematical Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42333289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Vol 4 No 2","authors":"","doi":"10.30537/sjcms.v4i2","DOIUrl":"https://doi.org/10.30537/sjcms.v4i2","url":null,"abstract":"decrease foodborne illness. Speakers will represent the Centers for Disease Control and Prevention, the Food and Drug Administration, Minnesota Department of Agriculture, Minnesota Department of Public Health, and the University of Maryland. For more information, contact Christine Ford, National Laboratory Training Network, Eastern Office, Delaware Public Health Laboratory; tel.: 302-653-2841; fax: 302-653-2844; e-mail: ford115w@cdc.gov.","PeriodicalId":32391,"journal":{"name":"Sukkur IBA Journal of Computing and Mathematical Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48074626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. S. Shaikh, M. M. Ansari, M. A. Jatoi, Z. Arain, A. A. Qader
{"title":"Analysis of Underground Cable Fault Techniques Using MATLAB Simulation","authors":"M. S. Shaikh, M. M. Ansari, M. A. Jatoi, Z. Arain, A. A. Qader","doi":"10.30537/sjcms.v4i1.566","DOIUrl":"https://doi.org/10.30537/sjcms.v4i1.566","url":null,"abstract":"In populated areas, underground cables are using for Electrical distribution and transmission purposes, due to this, underground cables have more advantages than overhead transmission line during abnormal weather condition including rain, and thunderstorm. But calculation and determination of the exact position of fault location occur, have been a significant challenge in the underground. In this paper, different techniques like Sectionalizing, thumper, and time domain reflectometry and MATLAB simulation technique-based reusing for determining fault location in underground cable systems and the also factors that affect the fault location are discussed.","PeriodicalId":32391,"journal":{"name":"Sukkur IBA Journal of Computing and Mathematical Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48605190","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Vol 4 No 1","authors":"","doi":"10.30537/sjcms.v4i1","DOIUrl":"https://doi.org/10.30537/sjcms.v4i1","url":null,"abstract":"","PeriodicalId":32391,"journal":{"name":"Sukkur IBA Journal of Computing and Mathematical Sciences","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41463589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
K. Shaikh, Areeba Memon, I. Memon, Zulfiqar Laghari, A. Memon
{"title":"Awareness regarding Coronavirus pandemic among the population of Sindh, Pakistan: A cross-sectional study","authors":"K. Shaikh, Areeba Memon, I. Memon, Zulfiqar Laghari, A. Memon","doi":"10.30537/sjcms.v4i1.573","DOIUrl":"https://doi.org/10.30537/sjcms.v4i1.573","url":null,"abstract":"Background: The appearance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) triggered a severe global pandemic and is a major public health issue. As of now, there’s no approved antiviral treatment or vaccine present for this disease. Thus, proper management of such patients and strict practice of precautions by the general public is critical in saving the lives of people affected and stopping the transmission of the disease to those unaffected by it. Methods: This is a cross-sectional descriptive study and was carried out in Sindh, Pakistan. 588 people from different cities of Sindh were asked to fill a questionnaire that tested their attitudes, knowledge and practices related to SARS-CoV-2 pandemic. Results: Television and other social media platforms have led to increased dissemination of knowledge among our population. Their increased understanding has led them to be more compliant with adopting precautionary measures, as frequent handwashing was seen in 89.8% and social distancing in 87.2%. Our results also showed greater prevalence of myths among our population. Conclusion: Increased access to correct knowledge can help to dissipate misconceptions and help spread the accurate knowledge about the role that the public should play in reducing disease transmission.","PeriodicalId":32391,"journal":{"name":"Sukkur IBA Journal of Computing and Mathematical Sciences","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47280259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multimedia Based e-Learning for Educating Children in Sindhi Language","authors":"","doi":"10.30537/sjcms.v4i1.518","DOIUrl":"https://doi.org/10.30537/sjcms.v4i1.518","url":null,"abstract":"","PeriodicalId":32391,"journal":{"name":"Sukkur IBA Journal of Computing and Mathematical Sciences","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69237492","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Identifying the Machine Learning Techniques for Classification of Target Datasets","authors":"Abdul Ahad Abro, Mohammed Abebe Yimer, Z. Bhatti","doi":"10.30537/sjcms.v4i1.580","DOIUrl":"https://doi.org/10.30537/sjcms.v4i1.580","url":null,"abstract":": Given the dynamic and convoluted nature of numerous datasets, the necessity of enhancing performance outcomes and handling multiple datasets has become more challenging. To handle these issues effectively and improve the quality of multiple approaches, the capabilities of various Machine Learning techniques such as K-Nearest Neighbor (KNN), Logistic Regression (LR), Naive Bayes(NB) and Support Vector Machine (SVM) have been utilized in this study. In this paper, the binary classification method using five different datasets, and many predictor variables have been utilized. Moreover, this research has mainly focused on determining the classification of data into the subsets that share the standard designs. In this regard, many approaches had been studied extensively and used to achieve better yields from the existing literature; however, they were inadequate to provide efficient outcomes. By applying four Supervised ML classification algorithms along with the UCI Datasets of ML Repository, the robustness of the method is progressed. The proposed mechanism is assessed by adopting five performance criteria concerning the accuracy, AUC (Area Under Curve), precision, recall, and F-measure values. The current study experimental results revealed that there is a significant improvement in the confusion matrix rate compared with a similar study and this method can also be used for machine learning problems such as binary classification.","PeriodicalId":32391,"journal":{"name":"Sukkur IBA Journal of Computing and Mathematical Sciences","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69238127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Abro, Sarang Shaikh, Rizwan Ali, S. Fatima, H. Abid, M. Malik
{"title":"Aspect Based Sentimental Analysis of Hotel Reviews: A Comparative Study","authors":"S. Abro, Sarang Shaikh, Rizwan Ali, S. Fatima, H. Abid, M. Malik","doi":"10.30537/sjcms.v4i1.567","DOIUrl":"https://doi.org/10.30537/sjcms.v4i1.567","url":null,"abstract":"The increasing use of the internet enables users to share their opinion about what they like and dislike regarding products and services. For efficient decision making, there is a need to analyze these reviews. Sentiment analysis or opinion mining is commonly used to detect polarity (positive or negative) of reviews. But, it does not show the aspect or orientation of the text. In this study, state-of-art approaches based on supervised machine learning employed to perform three tasks on the dataset provided by SemEval. Tasks A and B are related to predicting the aspect of the restaurant’s reviews, whereas task C shows their polarity. Additionally, this study aims to compare the performance of two feature engineering techniques and five machine learning algorithms to evaluate their performance on a publicly available dataset named SemEval-2015 Task 12. The experimental results showed that the word2vec features when used with the support vector machine algorithm outperformed by giving 76%, 72% and 79% off overall accuracies for Task A, Task B, and Task C respectively. Our comparative study holds practical significance and can be used as a baseline study in the domain of aspect-based sentiment analysis.","PeriodicalId":32391,"journal":{"name":"Sukkur IBA Journal of Computing and Mathematical Sciences","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69237983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
I. Memon, S. Kalwar, N. Sahito, S. Qureshi, Noman, Memon
{"title":"Average Index Modelling of Campus Safety and Walkability: The Case Study of University of Sindh","authors":"I. Memon, S. Kalwar, N. Sahito, S. Qureshi, Noman, Memon","doi":"10.30537/sjcms.v4i1.582","DOIUrl":"https://doi.org/10.30537/sjcms.v4i1.582","url":null,"abstract":"A pedestrian-friendly area encourages the inhabitants to experience the place enjoyably on foot. A pedestrian's sense of comfort is defined by the environmental qualities that encourage walking. The city's environmental qualities also make them better for walking, encouraging both physical and social activities. This Study focuses on safety and walkability in the University of Sindh. According to a survey done by researchers at the University of Sindh, the important issue at the university is lacking pedestrian facilities. Therefore, this study covers major facets of walkability. It is envisioned for policymakers and planners who want to improve the walking spaces for their communities with the best current information on pedestrian facilities. This research identified basic details about the specific walking plans and project creation. It includes trail preparation, roads, street lighting, street repairs, path and track repair, public protection, personal security, etc. This research explores the improvement of university walkways to accommodate pedestrians through the Average Index Model. Besides, the study presents recommendations on the issue of pedestrian safety. Also, discusses how the University of Sindh’s road network aspects and addresses how campus roadway system could include sustainable transportation choices for inhabitants.","PeriodicalId":32391,"journal":{"name":"Sukkur IBA Journal of Computing and Mathematical Sciences","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69237695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}