Papers by Herison Surbakti
International Journal of Information Engineering and Electronic Business(IJIEEB), 2024
Businesses nowadays may save a significant amount of money by using technological solutions. It i... more Businesses nowadays may save a significant amount of money by using technological solutions. It is impossible to deny this when considering the expenses of acquiring and training new personnel. When faced with such difficulties, technology is virtually always able to assist. Business Intelligence/Machine Learning (BI/ML) is an essential tool in today's decision-making process because of the many issues it has created for contemporary business decision-making. A comparative study of regression models, including linear regression, random forests, and gradient boosting, could unravel their effectiveness in predictive analytics within BI. Machine learning contribution in businesses is vital as it has a strong link with business intelligence, and it helps business decision-making in businesses. Without machine learning, business intelligence is not practical while making decisions, as business owners can't make decisions effectively. This paper will comprehensively review the noteworthy contributions of Machine Learning and its Impact on Business Intelligence. Further, it will discuss the challenges and opportunities of machine learning in business intelligence. Finally, the paper will discuss future correspondence about machine learning in businesses.
Bookmarks Related papers MentionsView impact
Background/Objectives: Indonesia becomes one of the countries which have the biggest population i... more Background/Objectives: Indonesia becomes one of the countries which have the biggest population in the world. The most significant demographic problem in Indonesia is high rate of population. Methods: The study is proposed to give solution of demographic data that will be nationally used as a monitor device toward population development to control the population in the form of area mapping visualization based on geographic information system. Findings: It is noted that in 2012, the number of populations were 243.3 million people; placing Indonesia in the 4th rank as the most populated country in the world and the 3rd rank in Asia. The number of population in Indonesia increases year by year. It is predicted that in several incoming years, population problem will keep increasing if the government does not try to overcome the problem comprehensively, and the society does not have awareness related to the problem. It is predicted that in 2016 and 2025 the number of population in Indonesia can reach 255.7 and 278 million people. It causes dense population with disputable quality. The success of government’s program in improving people’s living quality should be supported by the existence of national demographic data to apply high quality governmental programs. Application/Improvements: The use of demographic data should be applied to monitor the development of population number in every provincial area within the support of geographic information system (GIS) model as well as to control the number of populations. Further research, we do fixes this problem by an expert system to repair algorithm with GIS approach.
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
Perkembangan sistem informasi dan teknologi informasi berdampak terhadap persaingan yang semakin ... more Perkembangan sistem informasi dan teknologi informasi berdampak terhadap persaingan yang semakin kompetitif, hal ini berlaku juga di dunia pendidikan terutama bagi perguruan tinggi yang dikelola oleh masyarakat (swasta), yang menuntut pihak pengelola untuk membangun dan mengembangkan sistem informasi dalam membantu aktifitas bisnis, mencapai tujuan organisasi dan layanan bagi stake holder terutama yang berhubungan dengan data, informasi, teknologi, dan aplikasi. Enterprise Architecture Planning (EAP) sebagai salah satu metoda atau kerangka acuan untuk membangun sebuah arsitektur informasi yang merupakan suatu metode perencanaan arsitektur yang berorientasi pada kebutuhan bisnis yang terdiri dari arsitektur data, aplikasi dan teknologi serta rencana implementasi dari arsitektur yang telah dibuat untuk mendukung aktivitas bisnis demi pencapaian misi organisasi. Arsitektur enterprise yang akan dimodelkan pada Universitas Respati Yogyakarta, meliputi: Arsitektur data, Aplikasi, Arsitekt...
Bookmarks Related papers MentionsView impact
COBIT merupakan a set of best practice (framework) bagi pengelolaan teknologi informasi (IT manag... more COBIT merupakan a set of best practice (framework) bagi pengelolaan teknologi informasi (IT management) yang secara lengkap terdiri dari: executive summary, framework, control objectives, audit guidelines, implementation tool set serta management guidelines yang sangat berguna untuk proses sistem informasi strategis. COBIT berguna bagi IT users dalam memperoleh keyakinan atas kehandalan sistem aplikasi yang dipergunakan. Sedangkan para manajer memperoleh manfaat dalam keputusan saat menyusun strategic IT plan, menentukan information architecture,dan keputusan atas procurement (pengadaan/pembelian) inventaris organisasi. IT governance memastikan adanya pengukuran yang efisien dan efektif terhadap peningkatan proses bisnis perusahaan melalui struktur yang menggunakan proses-proses TI, sumberdaya TI dan informasi ke arah dan tujuan strategis perusahaan dengan menggunakan metode penilaian (scoring) sehingga suatu organisasi dapat menilai proses-proses TI yang dimilikinya dari skala non-...
Bookmarks Related papers MentionsView impact
Emergence of information technologies has transformed the way business marketing is done and how ... more Emergence of information technologies has transformed the way business marketing is done and how business enterprises are managing the resources and information. Trend of globalization has induced the fierce competitiveness among business enterprises within domestic and international markets. The major quest for the technologies is not limited to strategic value of an organization but also empower the organization work context by utilizing its resources. Knowledge management has emerged as the latest techno-management trend for improving the work process and creating value for business organization operations. Knowledge management offers various techno-managerial implications to business organization for strategic development. However, there are scarce evidences on business intelligence, strategic management decision support related to business organization adopting these offerings. Major objective of Business Intelligence is to extract the information and find the hidden knowledge from all sources of data. Business Intelligence offers to make decision for enhancement of any organizations goal. The broad overview of research articulates an understanding of government based organizations about the adoption of Knowledge management based Business Intelligence solutions and its challenges. Data mining is playing a key role in Knowledge Management based systems for business organizations and its implication lies in the implementation of data mining algorithm for exploring the huge amount of data, which determines the pure knowledge.
Majority of the government organizational data remains in either unstructured form such as raw form of data (i.e. internal or external document) or with its employees in the form of experience. Knowledge management process deals with extraction of both tacit and explicit knowledge of organization for improving the performance of organization. However Business Intelligence (BI) on the other hand gained its importance with constant enhancement in technologies and tools for extracting the hidden knowledge and patterns. Hence it can be argued that both Business Intelligence and Knowledge Management are complimentary to each other for extracting and managing the knowledge. Thus it’s very imperative for government organizations to have an integration of both Knowledge Management (KM) and Business Intelligence (BI) processes for enhancing the performance of the organization with respect to make organization decision for competitive environment and utilizing the organizational tacit knowledge.
The paper focuses on how BI and KM integration affect the government business organization while discussing its implementation challenges. The paper tries to analyze the correlation between Knowledge Management and Business Intelligence and exploring a road map for data mining based framework for Knowledge Management focusing government based organizations. Current situation of knowledge management strategic decision making and role of knowledge must need to be addressed before proposing any framework for government organization. Paper provides a detailed extensive literature review which aims to describe the basics of Knowledge Management based systems and integrating Business Intelligence with Knowledge Management. Study will draw a distinction between individual and organizational knowledge as well as whether knowledge is playing a key role in strategic development or not?
Bookmarks Related papers MentionsView impact
Web 2.0 covers a whole range of technology that can enable social networking and other activities... more Web 2.0 covers a whole range of technology that can enable social networking and other activities across the developed nations and enable effective communication among the user group. The Web 2.0 is adopted by organizations in developed countries to enable IT functions, managing public relationship and human resource to enable interpersonal communication.
The future framework around semantic technology and applying effective SOA will define the secure direction of social networking enabled through Web 3.0. The cloud computing evolution will help improve the knowledge management and able to handle big data for these social media platforms.
The proposed Web framework will enable multiple content sources, integrate various applications, combine social networking content under highly secure environment and will turn Web 2.0 into a participatory web and making sharing of information and data secure under open source environment. It can provide a complete virtual architecture and will create a global delivery platform for the developed countries.
The future framework around semantic technology and applying effective SOA will define the secure direction of social networking enabled through Web 3.0. The cloud computing evolution will help improve the knowledge management and able to handle big data for these social media platforms.
Bookmarks Related papers MentionsView impact
This study aims to determine the extent of the influence of risk perception on the willingness of... more This study aims to determine the extent of the influence of risk perception on the willingness of customers to use online payment system and online purchases, as well as to measure whether the experience and the tendency to use the internet have a significant effect in increasing the willingness of customers to use the online banking facilities and online payments.
There are several things that affect the willingness of customers to use the online payment system services; those are, the tendency factor of using the internet and experience factor of using the internet. Those factors have a positive influence on the willingness of customers to use online payment system facility.
Perception of risk in using the online payment system service facilities has a negative influence on the willingness of customers to use online payment system facility because the use of the internet has several types of risks that should be acceptable to customers.
The tendencies to use the internet and the internet experience factors have a negative influence on the perception of risk in the willingness of customers to use online payment system facilities. Does the perception of risk have a mediation role in the relationship between the tendency to use and experience to use the internet to customers’ willingness to use online payment system? This is a kind of interesting question to study.
The willingness of using online payment system service is a big opportunity for the E-Business development, especially in Yogyakarta, Indonesia.
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
Bookmarks Related papers MentionsView impact
Conference Presentations by Herison Surbakti
The fundamental thrust of this paper is to uncover certain dimensions of organizational context t... more The fundamental thrust of this paper is to uncover certain dimensions of organizational context through Knowledge Management (KM) and Business Intelligence (BI). KM is identified as important antecedent of employee retention that leads to direct their positive attitude toward work place. The structural model indicates that KM and BI strategies integer worker instant to retain. For data collection, the unbiased sources have been used i-e., past literature, journals, and secondary data of discussions with top management and employee's feedback. An analysis of the big data serves as the basis for determining the impact of KM trough BI and using employee retention scale. This paper discusses some reasons for turnover to include components of BI. The problems with so much data from sensors, social media, and online applications often flow and accumulate much faster than humans could possibly analyze or act on it. Further, the lack of analytical system drives organizations to a lot more depends to their employees. Most significant findings for this study demonstrate that the needs of the good analytical system in BI could generalize the training sets of data so that can help the organizations to improving their employees' retention rate.
Bookmarks Related papers MentionsView impact
Uploads
Papers by Herison Surbakti
Majority of the government organizational data remains in either unstructured form such as raw form of data (i.e. internal or external document) or with its employees in the form of experience. Knowledge management process deals with extraction of both tacit and explicit knowledge of organization for improving the performance of organization. However Business Intelligence (BI) on the other hand gained its importance with constant enhancement in technologies and tools for extracting the hidden knowledge and patterns. Hence it can be argued that both Business Intelligence and Knowledge Management are complimentary to each other for extracting and managing the knowledge. Thus it’s very imperative for government organizations to have an integration of both Knowledge Management (KM) and Business Intelligence (BI) processes for enhancing the performance of the organization with respect to make organization decision for competitive environment and utilizing the organizational tacit knowledge.
The paper focuses on how BI and KM integration affect the government business organization while discussing its implementation challenges. The paper tries to analyze the correlation between Knowledge Management and Business Intelligence and exploring a road map for data mining based framework for Knowledge Management focusing government based organizations. Current situation of knowledge management strategic decision making and role of knowledge must need to be addressed before proposing any framework for government organization. Paper provides a detailed extensive literature review which aims to describe the basics of Knowledge Management based systems and integrating Business Intelligence with Knowledge Management. Study will draw a distinction between individual and organizational knowledge as well as whether knowledge is playing a key role in strategic development or not?
The future framework around semantic technology and applying effective SOA will define the secure direction of social networking enabled through Web 3.0. The cloud computing evolution will help improve the knowledge management and able to handle big data for these social media platforms.
The proposed Web framework will enable multiple content sources, integrate various applications, combine social networking content under highly secure environment and will turn Web 2.0 into a participatory web and making sharing of information and data secure under open source environment. It can provide a complete virtual architecture and will create a global delivery platform for the developed countries.
The future framework around semantic technology and applying effective SOA will define the secure direction of social networking enabled through Web 3.0. The cloud computing evolution will help improve the knowledge management and able to handle big data for these social media platforms.
There are several things that affect the willingness of customers to use the online payment system services; those are, the tendency factor of using the internet and experience factor of using the internet. Those factors have a positive influence on the willingness of customers to use online payment system facility.
Perception of risk in using the online payment system service facilities has a negative influence on the willingness of customers to use online payment system facility because the use of the internet has several types of risks that should be acceptable to customers.
The tendencies to use the internet and the internet experience factors have a negative influence on the perception of risk in the willingness of customers to use online payment system facilities. Does the perception of risk have a mediation role in the relationship between the tendency to use and experience to use the internet to customers’ willingness to use online payment system? This is a kind of interesting question to study.
The willingness of using online payment system service is a big opportunity for the E-Business development, especially in Yogyakarta, Indonesia.
Conference Presentations by Herison Surbakti
Majority of the government organizational data remains in either unstructured form such as raw form of data (i.e. internal or external document) or with its employees in the form of experience. Knowledge management process deals with extraction of both tacit and explicit knowledge of organization for improving the performance of organization. However Business Intelligence (BI) on the other hand gained its importance with constant enhancement in technologies and tools for extracting the hidden knowledge and patterns. Hence it can be argued that both Business Intelligence and Knowledge Management are complimentary to each other for extracting and managing the knowledge. Thus it’s very imperative for government organizations to have an integration of both Knowledge Management (KM) and Business Intelligence (BI) processes for enhancing the performance of the organization with respect to make organization decision for competitive environment and utilizing the organizational tacit knowledge.
The paper focuses on how BI and KM integration affect the government business organization while discussing its implementation challenges. The paper tries to analyze the correlation between Knowledge Management and Business Intelligence and exploring a road map for data mining based framework for Knowledge Management focusing government based organizations. Current situation of knowledge management strategic decision making and role of knowledge must need to be addressed before proposing any framework for government organization. Paper provides a detailed extensive literature review which aims to describe the basics of Knowledge Management based systems and integrating Business Intelligence with Knowledge Management. Study will draw a distinction between individual and organizational knowledge as well as whether knowledge is playing a key role in strategic development or not?
The future framework around semantic technology and applying effective SOA will define the secure direction of social networking enabled through Web 3.0. The cloud computing evolution will help improve the knowledge management and able to handle big data for these social media platforms.
The proposed Web framework will enable multiple content sources, integrate various applications, combine social networking content under highly secure environment and will turn Web 2.0 into a participatory web and making sharing of information and data secure under open source environment. It can provide a complete virtual architecture and will create a global delivery platform for the developed countries.
The future framework around semantic technology and applying effective SOA will define the secure direction of social networking enabled through Web 3.0. The cloud computing evolution will help improve the knowledge management and able to handle big data for these social media platforms.
There are several things that affect the willingness of customers to use the online payment system services; those are, the tendency factor of using the internet and experience factor of using the internet. Those factors have a positive influence on the willingness of customers to use online payment system facility.
Perception of risk in using the online payment system service facilities has a negative influence on the willingness of customers to use online payment system facility because the use of the internet has several types of risks that should be acceptable to customers.
The tendencies to use the internet and the internet experience factors have a negative influence on the perception of risk in the willingness of customers to use online payment system facilities. Does the perception of risk have a mediation role in the relationship between the tendency to use and experience to use the internet to customers’ willingness to use online payment system? This is a kind of interesting question to study.
The willingness of using online payment system service is a big opportunity for the E-Business development, especially in Yogyakarta, Indonesia.