Department Information System Research Articles

The Specialization of Information Science and its Relationship with other Specializations: The Experience of the Department of Information Studies at Sultan Qaboos University

This study aims to explore the interdisciplinary research and courses of the Department of Information Studies (DIS) at Sultan Qaboos University with other disciplines in the university, and to explore its impact on the management and development of various academic programs of the department. To achieve this objective, the study utilized qualitative research methods such as: content analysis of documents, written plans, and course syllabi of the department and open interviews with faculty members to identify kinds of relations with other scientific disciplines they seek when building their academic programs. The study revealed that the interdisciplinary relations of the department exist in all its programs. The DIS PhD program was initiated as an interdisciplinary program in cooperation with departments of Information Systems, Management, and Computer Science. Further, the interdisciplinary path of the Masters’ program is clearly seen in the variation of topics that dissertations have discussed, which include human resources, marketing, bibliometric studies, social media, e-government, information literacy, manuscripts, and technology acceptance. The Higher Diploma in Medical Libraries is directed towards qualifying specialist librarians for health and medical libraries. Students admitted in this program are usually selected from those who apply from biology and health sciences. Lastly, in the undergraduate level, DIS provides the bachelor of Learning Resource Centers in Faculty of Education with number of specialized courses. In the main time there are many electives and required courses from different disciplines that are included in the department’s undergraduate study plan.

The application of Lean Six Sigma methodology to reduce the risk of healthcare-associated infections in surgery departments.

Nowadays, the monitoring and prevention of healthcare-associated infections (HAIs) is a priority for the healthcare sector. In this article, we report on the application of the Lean Six Sigma (LSS) methodology to reduce the number of patients affected by sentinel bacterial infections who are at risk of HAI. The LSS methodology was applied in the general surgery department by using a multidisciplinary team of both physicians and academics. Data on more than 20 000 patients who underwent a wide range of surgical procedures between January 2011 and December 2014 were collected to conduct the study using the departmental information system. The most prevalent sentinel bacteria were determined among the infected patients. The preintervention (January 2011 to December 2012) and postintervention (January 2013 to December 2014) phases were compared to analyze the effects of the methodology implemented. The methodology allowed the identification of variables that influenced the risk of HAIs and the implementation of corrective actions to improve the care process, thereby reducing the percentage of infected patients. The improved process resulted in a 20% reduction in the average number of hospitalization days between preintervention and control phases, and a decrease in the mean (SD) number of days of hospitalization amounted to 36 (15.68), with a data distribution around 3 σ. The LSS is a helpful strategy that ensures a significant decrease in the number of HAIs in patients undergoing surgical interventions. The implementation of this intervention in the general surgery departments resulted in a significant reduction in both the number of hospitalization days and the number of patients affected by HAIs. This approach, together with other tools for reducing the risk of infection (surveillance, epidemiological guidelines, and training of healthcare personnel), could be applied to redesign and improve a wide range of healthcare processes.

Application of the Eclipse EMF technology for multifaceted organization modelling

Eduard A. Babkin - Professor, Department of Information Systems and Technology, National Research University Higher School of EconomicsAddress: 25/12, Bolshaya Pecherskaya Street, Nizhny Novgorod, 603155, Russian FederationE-mail: eababkin@hse.ruOksana V. Radzinskaya - Lecturer, Department of Information Systems and Technology, National Research University Higher School of EconomicsAddress: 25/12, Bolshaya Pecherskaya Street, Nizhny Novgorod, 603155, Russian FederationE-mail: oradzinskaya@hse.ru This research paper explores the most developed methodologies used for multifaceted modeling of organizational structures. It is asserted that the existing methodologies (DEMO - Design and Engineering Methodology for Organizations, BORM - Business Object Relation Modeling and OntoUML) provide tools for analysis of the organization and its business processes through different ways. They lead to different results and make the process of organization modeling complicated. There is no software to support work with these methodologies together. The purpose of this research is to create a unified meta-model (within the Eclipse EMF technology) for a new methodology based on the existing ones and to analyze the completeness of these methodologies for describing enterprise architecture. It will serve as a basis for a new open software platform for multifaceted modeling of the organization. In this research, we have compared the above-mentioned methodologies and concluded that despite the fact that these methodologies provide an analysis of different aspects of organizational structure, they have a common basic set of concepts. This study demonstrates the implementation of the Ecore model that is built on the basis of the selected group of common elements of these methodologies. We have also found that the combination of the considered methodologies contains all the concepts inherent in the systematic approach to the modeling of organizational structure. Furthermore, we have demonstrated the aspects of the organization that can be modeled by the methodologies considered. Using the Zachman framework, it was shown that: the DEMO, BORM and OntoUML methodologies allow us to describe in detail the business processes that take place at different levels of the organization, from the ontological to the datalogical, and therefore provide comprehensive information for the multifaceted modeling of an organization. However, none of the existing methodologies takes the time component and goal-setting into consideration.

Practical EA Model Development: A Case Study of An Educational Institution in Bahrain

Organizations strive to meet their business goals in preserving a desired harmony and collaboration between its business environment and integrated ICT. At the same time, Enterprise architecture (EA), as a high ontological analysis tool, claims that organizations could directly benefit from EA efforts in enhancing knowledge and improved decision making about the organization‘s people, business processes, information, and ICT applications. Massive number of EA methodologies and frameworks assist organizations in achieving their aforementioned benefits. This paper addresses the development of an EA (baseline and a target architectural effort) analysis that enables the management of a Bahraini educational department; Information Systems Department (IS-Dep) assess its readiness for investing in a new Dashboard application. Respectively, Zachman Framework (ZFW), an Architecture Development Process (ADP), and ArchiMate modeling language were employed as an analysis tool, project methodology and a rigorous architecture description provider for the business and IT stakeholders. Results reveal that 1) The whole university is facing communication and information sharing difficulties, at which more advanced application systems, should be adopted to correct this problem. 2) Every type of data and information in the university is centralized implying that lengthy and time-consuming procedures are to be tackled. In order for the IS-Dep to meet the needs of both students and academics, the system needs to be decentralized. 3) Many services are not fully utilized, so the ISDep should utilize them.

The influences of knowledge loss and knowledge retention mechanisms on the absorptive capacity and performance of a MIS department

Purpose– Knowledge loss impact on the performance of management information system (MIS) departments due to its influence on absorptive capacity. Furthermore, knowledge retention in human resource management and information system application is also included in the research model, in order to examine their effectiveness in mitigating knowledge loss. The paper aims to discuss these issues.Design/methodology/approach– Survey method and hypotheses are tested with the collected data from 191 Taiwanese IS personnel.Findings– The results not only indicate knowledge loss has impacts on the absorptive capacity and performance of MIS departments while information systems could mitigate knowledge loss, but also provide deeper understanding of knowledge loss and potential issues for academics; as for practitioners, this study could serve as a reference to design and adopt knowledge management (KM) mechanisms.Originality/value– KM is an important issue for organizations since it is the source of competitive advantages and excellent performance, although the investment in KM is not necessary effective in retaining knowledge. This study conducts survey to examine the influences of knowledge loss in MIS departments, since the high turnover rate of employees and the rapid environmental changes in technical world may worsen the situation. According to dynamic capability theory, absorptive capacity is a critical ability to have while facing turbulent environment.

Essential Protein Identification From Protein Networks Using Topological And Biological Properties.

28Jul 2016 Essential Protein Identification from Protein Networks Using Topological and Biological Properties. Fathima Shabnam C B and Sminu Izudheen. Department of Computer Science and Information Systems,Mahatma Gandhi University, India. Department of Computer Science and Information Systems,Mahatma Gandhi University, India.

Events that lead university students to change their major to Information Systems: A retroductive South African case

Shortage of computing skills is a global concern as it affects national development and business success. Yet, despite high job availability and high salaries in computing professions, insufficient numbers of students are choosing to study the various computing disciplines. This South African study looks at the Information Systems (IS) major which is misunderstood by high school students. This retroductive case study identifies the events which lead students to change their major to IS. The study confirms the importance of interest in a major as well as the perceived high value of a major, which feature as dominant factors in the literature. Yet these are not the initial events that lead to students changing their major to IS. Events that initiate the process include losing passion for a previous major, experiencing difficulty in a previous major as well as enjoying the introductory IS course. The paper has practical advice for IS Departments and argues for a generic first year for students as well as a focus on enjoyment and skills aligned to IS professional practice in introductory IS courses. These findings can be generalised to other majors and, hence, the theoretical contribution adds to the literature on career choice in general.

Hospital Characteristics are Associated With Readiness to Attain Stage 2 Meaningful Use of Electronic Health Records.

To examine the difference between rural and urban hospitals as to their overall level of readiness for stage 2 meaningful use of electronic health records (EHRs) and to identify other key factors that affect their readiness for stage 2 meaningful use. A conceptual framework based on the theory of organizational readiness for change was used in a cross-sectional multivariate analysis using 2,083 samples drawn from the HIMSS Analytics survey conducted with US hospitals in 2013. Rural hospitals were less likely to be ready for stage 2 meaningful use compared to urban hospitals in the United States (OR = 0.49) in our final model. Hospitals' past experience with an information exchange initiative, staff size in the information system department, and the Chief Information Officer (CIO)'s responsibility for health information management were identified as the most critical organizational contextual factors that were associated with hospitals' readiness for stage 2. Rural hospitals lag behind urban hospitals in EHR adoption, which will hinder the interoperability of EHRs among providers across the nation. The identification of critical factors that relate to the adoption of EHR systems provides insights into possible organizational change efforts that can help hospitals to succeed in attaining meaningful use requirements. Rural hospitals have increasingly limited resources, which have resulted in a struggle for these facilities to attain meaningful use. Given increasing closures among rural hospitals, it is all the more important that EHR development focus on advancing rural hospital quality of care and linkages with patients and other organizations supporting the care of their patients.

HOW EDUCATIONAL DATA MINING CAN PREDICT STUDENTS’ ACADEMIC ACHIEVEMENT

INTRODUCTION:Duta Wacana Christian University is located in Yogyakarta, Indonesia. This is one of the Christian Higher Education Institutions in Indonesia. Currently, Duta Wacana Christian University inspects problems with student's learning motivation, especially in Information System Departments. Information Systems students have average GPA during 2012 to 2015 is 3.1 (out of 4) and the study period 5.37 years (while the normal study period is 4 years according to the curriculum). It means that motivation among Information System Students is average. Not only GPA, study period is also a problem faced by Information System Department Head. Average study period is 5.37. This number is higher than the targeted study period which is 4 years according to the curriculum of Information System Department.Bahji, Lefdaoui, & Alami (2013) inferred that there is a decrease found in students' motivation to participate learning activity in the classroom. There are some factors that influence these findings which are as follows· The development of Information Technology· The usage of Information Technology· The usage of internet as a learning media toolFrom the table 1, it is observed that around 20% students are failed during their study. For sure, it is a big problem for Information System Department, School of Information Technology. Based on those problems, this research is conducted to study the correlation between academic achievement (as measured by GPA like Najafabadi, Najafabadi, and Farid-Rohani (2013) research did) to predict the percentage of successful students during their study.Table 1 also supports what Siang and Santoso (2016) study in its paper. Information System Department Students feel demotivated towards their study. Demotivated students can be seen with the high study period and many students are out during their study. Siang and Santoso (2016) found that students have willingness to increase their GPA up to 9.2 out of 10. This willingness is not supported with the eagerness to do the assignments and prepare for the exams. It means that students show less efforts to achieve their ambition to increase its GPA.Academic Achievement was a research topic for Najafabadi, Najafabadi, and Farid -Rohani (2013) whose study was about academic achievement, measured by GPA, for Shahid Bahesti University in Iran, found that there are some factors influence the academic achievement, such as Teaching - Evaluation, Learner, Environment, Family, Curriculum, and Teaching Knowledge.Clearly, academic performance is a critical factor to be taken into account. Underachievement is associated with a high dropout rate (Martinez, Karanik, Giovannini, and Pinto, 2015). Educational Data Mining is one of the solution that can predict and anticipate the higher number of student's underachievement and drop out. Martinez, et. al. (2015) found out an alternative solution to characterize the students into some certain groups. Thus, the profiling becomes a strategy of significant value when an action is taken to improve the performance of students.Following the introduction, literature review in Educational Data Mining is conducted. The next part is research methodology, followed by analysis and discussion. The final part from this study will be conclusion and further research suggestions.LITERATURE REVIEW:ACADEMIC ACHIEVEMENTS:Academic achievement is a measurement for students' academic performance. The measurement of students' academic performance is Grade Point Average (GPA). GPA can describe the students' performance during their study (Martinez et al., 2015). Bahji, et. al. (2013) showed that there are some factors that influence the learning process. Motivation and engagement are two factors that influence the process and its result. Learning can bring some changes in human knowledge and behavior, including social, psychology, and other kind of changes. …

Estimated aggregate cost of ownership of a data processing center

Lyubov A. Pirogova - Project manager LEAN, Lamoda CompanyAddress: 10, Letnikovskaya Street, Moscow, 115114, Russian FederationE-mail: lbaydalina@gmail.comVladimir I. Grekoul - Professor, Department of Information Systems and Digital Infrastructure Management, National Research University Higher School of EconomicsAddress: 20, Myasnitskaya Street, Moscow, 101000, Russian FederationE-mail: grekoul@hse.ru Boris Е. Poklonov - Associate Professor, Department of Information Systems and Digital Infrastructure Management, National Research University Higher School of EconomicsAddress: 20, Myasnitskaya Street, Moscow, 101000, Russian FederationE-mail: bpoklonov@hse.ru Under current conditions, we see growth in demand for IT outsourcing services. This implies the activation of design and construction processes for data processing centers (DPC). Since a DPC is a complicated and expensive system, there arises the issue of justifying selection of the future project based on the estimated costs of designing and operating data processing centers. This paper analyzes one of the possible complexes of measures to estimate costs for development and operation of data processing centers. The analysis identified main groups of capital cost in development of data processing centers which were not fully taken into account in assessments of the total volume of capital investments in previously proposed methods. The article proposes regression models to evaluate processing center construction projects based on two measures. We propose to estimate the capital cost as a function of the projected floor space of service platforms and projected number of server racks. On the basis of the models developed, analysis of the construction sites of processing data centers was conducted. This showed the model’s suitability to real data. The main groups of operating costs for DPC maintenance were established, and a regression model of their evaluation was proposed. Based on the regression equation, we propose to calculate the processing center’s power consumption depending on the area of the service platform or the number of server racks. The operating cost of the data processing center is determined by the power value. Analysis of information on the operating cost of various data processing centers is in fairly good agreement with the calculations obtained on the basis of the model developed. The proposed models make it possible to evaluate with reasonable accuracy the project characteristics of development and subsequent operation of a data processing center.

A Perception Study Of Computer Science And Information Systems Students On Bullying Prevalence In The Information Systems Profession

Bullying is considered to be omnipresent in business firms and prevalent in entrepreneurial firms in information systems and in departments of information systems in industry. Entrepreneurialism and narcissism of personalities in the information systems profession may be perceived as especially predisposed to bullying. The authors of this paper evaluate the knowledge of bullying by students in a leading school of computer science and information systems and learn that the students are essentially knowledgeable of bullying as a concern in industry. They learn that the knowledge of the students implies the importance of requisite sensitivity and professional standards in the profession and in the school. The paper may benefit educators in illuminating the issue of bullying for information systems students desiring to be in the profession.

Construction of a set of harmonized data models in distributed databases based on semantics

Ainura T. Kasymalieva - Associate Professor, Department of Information Systems in Economics, Kyrgyz State Technical University named after I. RazzakovAddress: 66, Prospect Mira, Bishkek, 720044, Kyrgyz RepublicE-mail: aisu@rambler.ru When developing projects of integrated enterprise systems with focus on further expansion of functions, it is necessary to remember about continuity of models created and the timeliness of updating them. These refinements relate to the future development of organizations or their units involved in development of information systems (IS) or other software products (SP), extension of functionality of integrated enterprise information systems (IEIS), as well as development environments for design and programming. In this regard, the author proposes to apply the extended level scheme of data and database modeling. When investigating the functions of each department and building their model description in subsystems (private models), it is possible to identify the same objects for providing functionality. Coherence is one of the advantages of the resulting model, providing typing and standardization of the creative processes of IS. We use data distribution mechanisms, which today are very topical. The proposed solution is based on a semantic dictionary reflecting the basic terms and concepts of the functional tasks of the business environment of an enterprise being modeled; it allows us to unify the application development and complements the data distribution strategy across the nodes of the enterprise. This article presents the principles for forming a family of harmonized data models. It provides a formal description of them, the algorithms and the possible core formation practices. The advantages of using this and approaches to possible use are discussed.

Implementation of a non intrusive software component to monitor web applications in a public entity

La importancia de medir el tiempo de respuesta de las aplicaciones Web es transcendental para la toma de decisiones y/o correctivos por parte de los funcionarios públicos involucrados en los departamentos de tecnologías y sistemas de información. Esta investigación provee el marco conceptual del desarrollo de un componente J2EE (Java 2 Enterprise Edition) no intrusivo mediante filtros -Web de Servlets e Interceptors de Spring Framework. Así mismo, emplea el protocolo de comunicaciones TCP/IP para el envío de tramas en el formato JSON (JavaScript Object Notation) y su posterior recepción por un componente stand-alone para el registro en una base de datos. Finalmente, se realiza una prueba de hipótesis entre las tecnologías Log4j y Socket Simple, logrando determinar un tiempo de registro promedio de la tramas aproximado a 0.05 segundos, así como señalar que no existen evidencias estadísticas suficientes para afirmar que una sea más óptima y/o rápida que la otra.

Acceptance and usage of a mobile information system in higher education: An empirical study with structural equation modeling

Along with the rapid development of information and communication technologies (ICTSs), an astonishing number of mobile commerce applications have become available. Hence, the aim of this study is to investigate the use and acceptance of the Mobile Education Information System of Sakarya University (SABIS), a comprehensive information technology platform developed and implemented by Sakarya University Information Systems Department. Data were obtained from Sakarya University undergraduate students via a paper based survey to test the “Mobile Services Acceptance Model” using Structural Equation Model. Findings from 227 management undergraduate students indicated that the trust is important factor for predicting intention to use, yet the personal characteristics, perceived ease of use, and perceived usefulness do not have a meaningful effect on user intentions to adopt mobile SABIS. Results also showed a strong exogenous role of context and a positive strong relationship among perceived ease of use, perceived usefulness and trust to intentions to use in our theoretical framework.

Photogrammetry at the Warsaw University of Technology – Past and Present

Abstract The Department of Photogrammetry, Remote Sensing and Geographic Information Systems at the Warsaw University of Technology is one of six organizational units of the Faculty of Geodesy and Cartography. The photogrammetry has been under interest of scientists in Faculty for over 90 years. The last decades has been characterized by the incredible development of photogrammetric technologies, mainly towards wide automation and popularization of derivative products for processing data acquired at satellite, aerial, and terrestrial levels. The paper presents achievements of scientists employed in Photogrammetric Research Group during last decades related to projects that were carried out in this department.

WordNet and Cosine Similarity based Classifier of Exam Questions using Bloom’s Taxonomy

Assessment usually plays an indispensable role in the education and it is the prime indicator of student learning achievement. Exam questions are the main form of assessment used in learning. Setting appropriate exam questions to achieve the desired outcome of the course is a challenging work for the examiner. Therefore this research is mainly focused to categorize the exam questions automatically into its learning levels using Bloom’s taxonomy. Natural Language Processing (NLP) techniques such as tokenization, stop word removal, lemmatization and tagging were used before generating the rule set to be used for this classification. WordNet similarity algorithms with NLTK and cosine similarity algorithm were developed to generate a unique set of rules to identify the question category and the weight for each exam question according to Bloom’s taxonomy. These derived rules make it easy to analyze the exam questions. Evaluators can redesign their exam papers based on the outcome of the evaluation process. A sample of examination questions of the Department of Computing and Information Systems, Wayamba University, Sri Lanka was used for the evaluation; weight assignment was done based on the total value generated from both WordNet algorithm and the cosine algorithm. Identified question categories were confirmed by a domain expert. The generated rule set indicated over 70% accuracy.

Synergetics and development processes in socio-economic systems: Search for effective modeling constructs

Natalya N.Lychkina - Associate Professor, Department of Information Systems and Technologies in Logistics, National Research University Higher School of EconomicsAddress: 20, Myasnitskaya Street, Moscow, 101000, Russian FederationE-mail: nlychkina@hse.ru This paper explores the genesis of socio-economic processes of strategic development of social transformations in a transition economy. The author studies the system patterns and structural and dynamic aspects of developing socio-economic systems, defining the need for appropriate modeling methods. Restrictive features of traditional mathematical modeling are analyzed. Synergetics is applied as a theoretical and methodological fundamental of research and modeling of developing socio-economic systems. Modeling social behavior, individual choice, various forms of social interaction and self-organization processes are recognized to be significant aspects. Searching for methods of model description is based on carrying out interdisciplinary research in the field of economic and social sciences, using modern paradigms (system dynamics, agent-based computer simulation) and simulation technologies and analysis of their possibilities in the study of the dynamic aspects of the development processes in socio-economic systems. A general concept of simulation of developing socio-economic systems based on the principles of stratification is proposed: the micro-level reproduces individual decisions of social and economic agents, as well as the collective organizational forms; and the macro-level describes processes of evolution. The interpretation of the interactions between socio-economic configurations is based on analysis of causal dependencies and dynamic manifestations of the interpenetration of phenomena occurring in different strata of the social system. It offers methods of combining composite system-dynamic and agent-based models, allowing us to investigate the dynamics of socio-economic processes by a cyclical interaction of processes of individual and group behavior of economic and social agents at the micro level with the basic processes of socio-economic system at the macro level. The basic directions of development of technologies of simulation in procedures and strategic decision support systems are defined as follows: a computer dynamic scenario analysis based on a generalized simulation model of the control object; a model of balance of interests in the procedures of coordination of scenarios and interests of the participants of the process of social design; a stratified description of the model set with the use of ontologies; methods of parameterization of models of socio-economic systems and the specifications of agents.

Automated eligibility screening and monitoring for genotype-driven precision oncology trials.

The Information Systems Department at Memorial Sloan Kettering Cancer Center developed the DARWIN Cohort Management System (DCMS). The DCMS identifies and tracks cohorts of patients based on genotypic and clinical data. It assists researchers and treating physicians in enrolling patients to genotype-matched IRB-approved clinical trials. The DCMS sends automated, actionable, and secure email notifications to users with information about eligible or enrolled patients before their upcoming appointments. The system also captures investigators input via annotations on patient eligibility and preferences on future status updates. As of August 2015, the DCMS is tracking 159,893 patients on both clinical operations and research cohorts. 134 research cohorts have been established and track 64,473 patients. 51,192 of these have had one or more genomic tests including MSK-IMPACT, comprising the pool eligible for genotype-matched studies. This paper describes the design and evolution of this Informatics solution.

The evolution of hospital information systems and the role of electronic patient records: from the Italian scenario to a real case.

Health care organizations can gain great value from Information and Communication Technologies (ICT), yet, although there is growing awareness of the potential benefits associated with their use, results often fall far short of expectations. Each year, the "ICT in Health Care" Observatory--part of the Politecnico di Milano School of Management--outlines a profile of the role of ICT in the Italian health care industry, investigating current projects in terms of their impact on processes and organizations, implementation state of the art, governance models, and prospective pathways. The 2009 collaborative research process outlines the need for a change in the way health care CIOs approach technological and organizational evolutions. ICT departments lack vision, governance mechanisms, skilled resources, and top management commitment. This has led to a series of distortions in the innovation of Hospital Information Systems (HISs) and ICT departments themselves. Currently they are too concerned with day-to-day operations and delay comprehensive initiatives capable of leading to effective ICT-driven innovations. The paper points out the problems that health care organizations are tackling and how they are trying to solve them. The case of the Italian National Cancer Institute in Milan provides a valuable example of how a health care organization is developing its HIS.

LEARNING MOTIVATION AND STUDY ENGAGEMENT: DO THEY CORRELATE WITH GPA? AN EVIDENCE FROM INDONESIAN UNIVERSITY

INTRODUCTION:Bahji, et. al. (2013) reported that in emerging countries, there is a decreasing student's motivation to participate learning activity in the classroom. There are some factors that influence findings:1. The development of Information Technology.2. The usage of Information Technology in Indonesia.3. The usage of internet as a learning media tools.The decrease in student's motivation is also faced by some universities in Indonesia, especially in Department of Information Systems at Duta Wacana Christian University. Starting from 2012, Information Systems Department has been facing this problem. Figure 1 shows the declining GPA in Information Systems Department.From figure 1, it is shown that there is a significant decline of GPA in every year. In 2012, student's GPA is 2.536 whereasin 2013, Information Systems students have an average of 2.337. And in 2014, Information Systems students have an average of 2.282. And from figure 2, it is reported that students who have GPA between 1 and 2 is increasing. It means that students face problems with their study.Based on those problems, it is an interesting topic to conduct research in student's motivation, especially in Information Systems Department. Researchers have three research questions, as follows:1. To acknowledge students' motivation level in Information Systems Department2. To find correlation between students' motivation and students achievement, especially GPA.3. To study the relationship between students' engagement in learning process and students' academic achievement.LITERATURE REVIEW:Academic achievement is one tool to measure students' academic performance. Based on Center for Research and Development Academic Achievement (CRIRES) (2005) report, academic achievement is a construct to measure student's achievementabout knowledge and skills based on student's age, student's previous experience, and each student capacity related to social, education, and qualification. To measure the academic achievement, educators use different kind of assessment. Assessment is a continuous process that bring some valuable information about learning process (Linn and Gronlund, 1995). Hargis (2003) commented that thegrading are supposed to be motivating and to provide goals to strive for. In other hand, it can give more possibilities to the students to cheat. Combination between score and standard achievement process provides two set of data refers to students achievements. (Haladyna, 1999).Learning is a process that can bring some changes in human knowledge and behavior, including social, psychology, and other kind of changes (Bahji, et. al., 2013). There are some factors that influence the learning effect. Motivation and engagement are two of factors that influence the process and its result. There is shifting paradigm in learning, from teacher oriented to student oriented. Student oriented paradigm needs higher student motivation than teacher oriented. It needs higher student motivation because motivation is related with competences and relationship with others (Ryan and Deci, 2000).Motivation is also related with personnel factors, social variable, human thought, and human belief (Steadward, et. al., 2003). So, learning motivation is a kind of individual investment in learning process. Motivation is also related with enthusiasm to do something to be able to bring significant process for specific actions. Zimmerman, et. al. (2014), tells that motivation also related with internal factors that influence, guide, and maintain students to gain specific outcome.There are two kinds of motivation: (1) Intrinsic motivation; (2) Extrinsic Motivation. Deci and Moller (2005) gives a brief explanation related with this two kind of motivation. Intrinsic motivation comes from internal and extrinsic comes from external. Students will contribute and participate in the learning process if they have intrinsic motivation that helps them to adapt with teachers and subjects. …