JOURNAL OF INFORMATION SYSTEMS & INFORMATION TECHNOLOGY (JISIT)

Call For Papers. Vol.7 No.1 - 2022

Volume 06. Issue 02.

IOT Based E-Crop: Smart Agriculture Monitoring System for Sri Lanka
Mohamed Razeed Mohamed Nowfeek

In today’s technological era in agriculture, automation is very much vital. Farmers in Sri Lanka use wireless sensor networks in monitoring many parameters in agriculture. Because of the erratic natural distribution of rainwater, agriculturalists find it difficult to control and monitor the distribution of water to agriculture fields throughout the farm or according to crop requirements. In Sri Lanka, there is no perfect irrigation system for every soil structure, weather condition and diversity of crops cultures. Sri Lankan Farmers face huge economic losses because of incorrect prediction of inappropriate irrigation systems and weather conditions. In this background, with the advancement of sensor devices organized with wireless technologies, it can remotely monitor parameters such as moisture, humidity and temperature. It creates and deploys a wireless sensor network that is connected to a central node the use of Wi-Fi, which in turn is associated to a Central Monitoring Station (CMS)through General Packet Radio Service (GPRS) or Global System for Mobile (GSM)technologies. According to the soil humidity sensor value the mote generates the water irrigator during the time-frame of water shortage. Once the field is sprinkled with satisfactory water, the water irrigator is switched off. Also, the pH sensor value of soil is directed to the base station and in turn base station intimates the planter about the soil pH via SMS using GSM modem This system is predictable to support planters in identifying soil situations and turn accordingly in Sri Lanka.
Keywords:CMS, Mobile Communication. Wi-Fi, Wireless Sensor Network, Base Station, Packet transferring

01-09
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A Review of IoT Architecture, Applications, Security Requirements and Mechanisms
Uthuma Lebbe Muhammed Rijah, Mohamed Ismail Mohamed Riyath and Mohamed Abdul Cader Jiffriya

The Internet of Things (IoT) is described as an object or device, both physical and virtual, that is linked to and communicates with one another and is incorporated into a network for a particular purpose. Actuators, Sensors, and Radio-frequency identification (RFID) are some of the technologies and equipment that the IoT uses to gather data. In the IoT, data produced by sensors are not only collected but also analyzed. Keeping out all attackers and intruders is a need for IoT applications to prevent attacks. There must be a safe environment for information sharing, with strong privacy protections in place. IoT must encourage an environment in which people and things interact to improve the overall quality of life. Anyone may build, install, and utilize IoT infrastructure since it is open source and free of copyright restrictions. We will be discussing the Internet of Things Architecture, Applications, Security Issues and Requirements, and Security Mechanisms in this paper.
Keywords: IoT, IoT application, IoT architecture, protocols, security, threat

10-27
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Synthesizing the Determinants of Job Performance of Academic and Administrative heads of the Sri Lankan Universities: A Literature Review
Sareena Umma, M. A. G., Kengatharan, N. and Velnampy, T.

Work force job performance and satisfaction are foremost concerns in any organization, especially in the service sector organizations, under that educational institutions are very important one. Thus, this literature review, taking the argument from theoretical and empirical perspective, to find the determinants of job performance of academic and administrative heads of the Universities, hence this paper is to examine theoretically and empirically the determinants of job performance, with reference to the different occupations in literature. Therefore, this study used a desk research (secondary information), in order to review literature regarding job performance, formed a new definition and adding newness to the existing literature and providing recommendations for future studies.
Keywords: Job performance; dimensions and indicators; academic and administrative heads of the universities; service sector organization

28-54
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The Use of ICT and Academic Performance among Undergraduates of the Faculty of Islamic Studies and Arabic Language at South Eastern University of Sri Lanka: A Gender-Based View
S.L. Roshan Rukshana1 and M.B.M. Irshad

This paper presents a study on gender-based academic performances using ICT as supportive techniques among the Undergraduate students of the faculty of Islamic Studies and Arabic Languages. Mainly this research area focused on first-year students a total of 430. Among them, a sample of 120 students from the batch of first-year undergraduate’s students used for research purpose in this study. Among this sample of students, 60 were boys and 60 were girls, and questionnaires were circulated among them to analyze the gender-based performances through the literacy of computer knowledge on the undergraduate students of Faculty of Islamic Studies and Arabic Languages (FIA). For this research, a questionnaire was used as the survey instrument to distinguish the details. Their characteristics are related to their background and experiences in working with ICT tools as well as research area-related questions such as fundamentals of ICT knowledge also covered in that questionnaire. Computer usage level and the literacy determines the success and the failures of Undergraduates Finally, the results discovered that even though male students were showed interest over female students, they scored lesser compared to females.
Keywords: Sample, Faculty of Islamic Studies and Arabic Languages (FIA), Undergraduates, Questionnaire, ICT (Information Communication Technology),

55-61
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Data Warehouse Implementation: Cost Effective Approach for Small Businesses
Ahamed Rameez Mohamed Nizzad and Mohideen Bawa Mohamed Irshad

Data is the oil of this era where businesses compete among in order to own the most informative data for gaining competitive advantages and business success. It is where the necessity of using a sophisticated data warehouse arises. However, though there are high end Data warehouses and modern data analytics tools are in the market. It is empirical that most of the small businesses locally and internationally have not implemented a proper data warehouse considering the overhead burden of such an implementation and the technical difficulties involved. Therefore, in this study, it is proposed to provide a low cost, cost effective less complicated data warehouse implementation for any small business entities so as to enable them to leverage the benefit of their business data through the analytics to support the decision making and make the business data driven. The tools employed in this research are office automation tools with other freeware. The results suggest that it is worthwhile for small businesses to implement this architecture for their data analytics purpose. Further research in this area will enable automating the entire process.
Keywords: Data warehouse, Data Analytics, ETL Process, Small business, OLTP, OLAP

62-71
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A Review of Machine Learning Approach for Mental Stress Detection
Mohamed Razeed Mohamed Nowfeek

Mental stress is a psychological disorder that has an impact on many parts of life, including sleep. People are affected by mental stress on a daily basis due to a variety of circumstances, including social ones. (financial difficulties, family and friendship concerns), the environment (poor weather, traffic, or noise), or scenarios such as giving a presentation in front of a large group or wedding planning. A manageable level of stress is good for a person's health and can encourage them; however, an excessive amount of stress or a strong reaction to stress might be dangerous. As a result, diagnosing and predicting mental stress has become a popular issue in the community. Using machine learning technology, this paper discusses and analyzes various methods for stress detection.
Keywords: Mental stress, Dangerous, Machine learning, Stress detection, Predicting mental stress

72-83
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A Transfer Learning Classification Prototype Model for Sri Lankan Trees
C. Vidushraj, M.N.M. Aashiq, and W.G.C.W. Kumara

Automatic classification of the trees from images or videos is difficult, due to its large variety of species. Identifying and classifying tree types requires agricultural experts and botanists. The technology is moving fast so the people are running towards growth so they become more urbanized and forget about nature. We have lost valuable tree species due to the forest firing without knowing its name. It’s difficult to identify trees by the naked eye because of their variation in orientation, the shape of the leaves, and the viewpoint. Next-generation people mostly will forget the importance of the trees. So there is a need for a system to recognize trees. In this experiment, we acquired 2,500 images of 25 different types of trees inside South Eastern University of Sri Lanka premises. We focused on analyzing the performance of the pre-trained deep learning models. Therefore, we specifically use transfer learning by leveraging pre-trained deep learning models. The evaluated architectures are VGG16, VGG19, Xception, InceptionV3, and MobileNet. The performance of each classification model is assessed in terms of validation accuracy. In our experiment, MobileNet achieves a validation accuracy score of 87.20% and outperforms other pre-trained models. Trees must be classified into identifiable classes for us to have a clear, organized way of identifying the diverse array of trees that inhabit the planet. We did not find any similar research work on identifying/ classifying trees in Sri Lanka using image processing-based machine learning. This MobileNet architecture could be used to deploy the final web-based application solution and mobile-based application. Also, it took a smaller number of epochs which is 4 to reach the higher validation accuracy. Because of the lightweight nature of the MobileNet architecture model, it has performed better than others.
Keywords: Trees Classification; Convolutional Neural Network; Deep Learning; Transfer Learning

84-95
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SmartCovidAssest: A Remote Monitoring System for Self-Quarantined COVID Positive Patients and Suspects in an IoT Environment.
Rohan Samarasinghe, Gamini Abeyasinghe and Navod Niranjan Thilakrathna

In this work we have developed a Remote Monitoring System to monitor the Covid positive patients and contacts who are in the quarantine centers or self-quarantine at their homes. The system uses the Internet of Things (IoT) and mHelath powered Mobile App technology to develop a Mobile App for the patients to upload the symptoms selected from predefined list of symptoms if they have during the quarantine period. These symptoms will be uploaded to the Monitoring System in Cloud Environment to analyze the patient’s condition. The patients and contacts must register in the system before it is used and they have to provide general information with the Grama Niladhari (GN) division. The daily uploaded data of the patients will be analyzed and the result will be compared with the standard threshold values defined in the system and visualize the patients’ condition to the patients, to the Medical Officer or Public Health Inspector (PHI) in MOH offices. If the patients need any further medical treatments, system will indicate it, then the PHIs can immediately get actions to give further treatment before the patient’s conditions becomes worst. The back-end system uses the predictive data analytic techniques to analyze the data and to generate the up-to-date reports and to provide the real time information about patients to the MOH divisions, districts, and provinces. This information can be used as a MIS for Covid -19 prevention program. Moreover, using this system, many reports can be easily generated and can provide a dashboard having information of the Covid-19 patients, contacts who are being quarantined at their homes and centers and PCR testing in GN division level, district level, province level, and national level which can be used to decide the Covid-19 control mechanisms and to get effective decisions with regard to the pandemic control.
Keywords: Internet of Things, IoT, mHelath, Mobile Apps, Data Analytics, Data visualization

96-113
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Antecedent of Business - IT alignment: Role of Managing IT Investment
Dr. Aboobucker Ilmudeen and Dr. Sithy Safeena M.G

Although, since long the multifaceted effects of managing or governing IT have been taken into consideration in both practice and theoretical debate, how these bring firm performance yet unclear and limited. Drawing on the resource-based theory and the process theory, this study aims to systematically review the antecedents of business-IT alignment. The findings of this study shows that the business-IT alignment is derived from IT governance practices and managing IT investment. This study contributes to IS theory and literature with the richer insights on IT governance, management of IT, and business-IT alignment.
Keywords: Antecedents, IT governance, management of IT, business-IT alignment

114-129
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