The objective of the study is to evaluate the usability of SMS-Based Auto-Reply Inquiry System for Grades and Accounts. This descriptive study used a three-part questionnaire which was administered by the researcher. The usability questionnaire adapted from the USE Questionnaire used a 5-point scale composed of 30 statements. Convenience sampling was used choosing the respondents from the total population of 149 students of the CICS during the second semester of school year 2018-2019. A total of 45 questionnaires were retrieved and were used in the usability analysis. The usability evaluation results yielded a grand mean of 4.54 (Strongly Agree) showing that the SMS-based inquiry system is easy to learn, easy to use, useful, and satisfying. The results of this study show that pre-coded keywords are confusing for beginners but can be learned and familiarized by the users as they continue use the system. Further investigation should be conducted to prove that ease of use, ease of learning, and usefulness have direct impacts to user satisfaction.

Agricultural inputs are very important; however, these are not always available to farmers. This study aimed to develop a mobile-based eggplant diseases recognition system using image processing techniques to provide information to the farmers with regard to the identification of eggplant diseases. Quantitative method using descriptive survey was used to gather data. Weighted mean was also used to analyze the rating on the extent of compliance of the system along with ISO/IEC 25010 Software Quality Standards. Convenience sampling was employed in selecting the participants. The study employed Scrum Methodology which takes an iterative approach to software development. It also utilized different image processing techniques and adapted the MobilenetV2 framework. The study found out that farmers encountered issues such as lack of modern agricultural inputs, capital, labor force, price fluctuations, production costs, water system, and unsupervised use of chemicals. They also encountered challenges such as the presence of insect pests and diseases, natural disaster, drought, and limited access to production inputs and equipment. Result of the system evaluation using ISO/IEC 25010 Software Quality Standards shows that the system is compliant to a great extent with overall weighted mean of 4.12. Based on the findings of the study, the developed mobile application can be of great help to the farmers in identifying the different eggplant pests and diseases as well as in providing the necessary management and control.

The study aimed to develop a fully customized Biometric Attendance Monitoring System (BAMS) of Cagayan State University – Lasam Campus, Philippines (CSU - Lasam) using biometric fingerprint reader to facilitate the monitoring of employees’ attendance. This study followed the framework of Design Science Research for Information Systems, thus, the researcher identified the problems and issues encountered in the monitoring of attendance, defined the objectives of the study, designed and developed the system, deployed and tested, and presented the result of the study. A combination of Visual Basic 6.0 as the programming language and MS Access as the Database Management Systems were used in the development of the system.Thus, the overall functionality of the BAMS enables the users to enter data, change and manipulate the data, get information, and store the data and the information. Username and password is no longer needed since all transactions use unique fingerprint to validate users. Furthermore, the BAMS greatly contributes in giving employees’ ease and improving work values. Likewise, the BAMS is essential in achieving good governance because it helps track day-to-day attendance of the employees.

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