Chandra Lukita
@cic.ac.id
Faculty of Information Technology
Universitas Catur Insan Cendekia
RESEARCH INTERESTS
Management, marketing, entrepreneurship, leadership
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
Chandra Lukita
Bright Publisher
This research aims to predict and analyze customer churn using Data Mining and Machine Learning methods. The background of this research is based on the importance of understanding the factors that influence customer decisions to churn, as well as improving the effectiveness of customer retention strategies in a business context. The method used in this research involves the use of a customer bank dataset that includes information about customers who left in the past month, services registered by customers, customer account information, and demographic info about customers. The factors most influential to churn were identified through heatmap analysis, including MonthlyCharges, PaperlessBilling, SeniorCitizen, PaymentMethod, MultipleLines, and PhoneService. This research compares the performance of several machine learning algorithms, including Random Forest, Logistic Regression, Adaboost, and Extreme Gradient Boosting (XGBoost), to predict customer churn. Accuracy metrics and confusion matrix results are used to evaluate the performance of these algorithms. The results showed that XGBoost proved to be the best algorithm in predicting customer churn with high accuracy. The factors that have been correctly identified do not provide missed precision, showing a significant influence on customer churn decisions. The novelty and uniqueness of this research lies in focusing on the factors that have the most influence on customer churn and comparing the performance of machine learning algorithms. This research provides more specific and relevant insights for companies in developing effective customer retention strategies. However, this research has some limitations. One of them is the use of a dataset limited to a customer bank, so the generalizability of the findings of this research may be limited to that business context. In addition, other factors that are not the focus of this research may also contribute to the prediction of customer churn.
Sandy Kosasi, Chandra Lukita, Mochamad Heru Riza Chakim, Adam Faturahman, and Dhiyah Ayu Rini Kusumawardhani
Pandawan
The rapid development of digital technology and artificial intelligence (AI) has brought significant changes in many areas of life, including business, healthcare, education, and entertainment. The great potential of AI technologies to provide positive benefits to society is balanced with concerns about their negative impact on quality of life. This study aims to explore the influence of digital AI technology on the overall quality of life around the world, focusing on the Performance Expectancy, Effort Expectancy, and Use Behavior aspects of digital AI technology. This research method utilizes the UTAUT (Unified Theory of Acceptance and Use of Technology) approach and collects data quantitatively through a questionnaire covering 3 variables related to digital AI technology and its influence on quality of life. Data analysis was conducted using PLS-SEM (Partial Least Squares - Structural Equation Modeling) to identify important aspects related to the advantages and disadvantages of AI technology. The results from the 70 respondents indicated that digital AI technologies have the potential to improve quality of life by meeting performance expectations and providing ease of use, and a balanced approach is needed in the development and implementation of AI technologies to maximize their positive impact while minimizing their negative impact.
Chandra Lukita, Marviola Hardini, Sudadi Pranata, Dwi Julianingsih, and Nuke Puji Lestari Santoso
Pandawan
In the Industrial Revolution 4.0 era, especially with advances in information technology such as the internet of things, the global economy is experiencing a significant transformation, including the Indonesian region. Universities as agents of change have a strategic role in preparing students to face these changes. This article aims to provide an overview of entrepreneurship education in higher education, focusing on preparing students as reliable, tough and competent 4.0 entrepreneurs through the use of digital technology. The background to this research underlies the need for entrepreneurship education that is responsive to the demands of the times, where the integration of digital technology is the key to success. This writing uses a descriptive method by detailing the findings from the literature study, providing a conceptual picture of the urgency of entrepreneurship education through a digital technology approach in higher education. It is hoped that the results of this research will be able to shape the character of students as entrepreneurs 4.0, who are intelligent, trustworthy and creative. Improving the 5C aspects (creative, cognitive, collaborative, competent and unified) is the focus, while emphasizing the digitalpreneur generation is the main goal. The implications of these findings include updating higher education curricula to reflect the needs of industry 4.0 and preparing students to become future leaders. Thus, this article offers valuable insights for education stakeholders, policy makers, and practitioners in the field of entrepreneurship and digital technology.
Aliyah, Chandra Lukita, Greian April Pangilinan, Mochamad Heru Riza Chakim, and Dimas Bagus Saputra
Pandawan
This research focuses on the high urgency of utilizing Artificial Intelligence (AI) and the Internet of Things (IoT) to enhance Smart Tourism Destinations (STDs). The integration of AI and IoT technologies offers unprecedented opportunities to revolutionize various aspects of tourism, from personalized recommendations to real-time data collection. The research aims to provide a comprehensive analysis of the current state, challenges, and future direction of STDs in the context of AI and IoT integration. It explores various AI techniques and IoT-enabled data collection mechanisms that can enrich the traveler experience and improve destination management. However, challenges such as privacy and data security issues need to be addressed. The research also provides foresight into future technologies like Augmented Reality (AR) and Virtual Reality (VR) that can further enhance STDs. The ultimate goal is to contribute to the development of smarter, visitor-oriented tourism destinations. The research highlights the significance of AI in shaping STDs and emphasizes the importance of addressing ethical considerations, data quality, interpretability, and human-AI collaboration to ensure responsible and effective use of AI in the tourism industry.
Riya Widayanti
Bright Publisher
Chandra Lukita, Qurotul Aini, Kristoko Dwi Hartomo, Muhammad Hairid Zulhi, Nuke Puji Lestari Santoso, Ananda Alifia Putri, and Zaharuddin
IEEE
This study aims to analyze student satisfaction in using iLearning Education, a website facilitating distance learning programs at Raharja University. The sampling method used is simple random sampling. This study focuses on students’ intentions to use iLearning Education. We applied the Technology Acceptance Model (TAM) and used a structural equation modelling approach with SmartPLS 4.0 software to investigate the student adoption process. The developed model explains students’ intentions in utilizing iLearning Education. The results showed that iLearning Education significantly affects perceived usefulness and student satisfaction. This impacts students’ intentions to utilize iLearning Education as a more straightforward, faster, and efficient learning tool. Thus, this study shows that iLearning Education provides substantial benefits for students in distance learning at Raharja University. The conclusion from this study is that iLearning Education has a positive influence on students’ intentions to use it. In the era of distance learning, the use of iLearning Education can increase student usability and satisfaction and facilitate a more efficient learning process. Therefore, it is recommended that Raharja University continue to develop and improve iLearning Education as a learning platform that can meet student needs and support the distance learning process.
Cicilia Sriliasta Bangun, Harmaini, Sugeng Santoso, Chandra Lukita, I Komang Mertayasa, Irene Avillya Zahra, and Bayu Ajie Putra Seno
IEEE
This article describes the experience of supporting scholars using an e-learning platform. We use Moodle as an interactive existential tool to engage students and motivate them to complete individual assignments. Many universities worldwide are using e-learning platforms, but this is the first time they are using them, and it is a great learning/teaching experience. This paper should be easy to read and understand by showing the importance of using the university’s e-learning platform. It is demonstrated by the behavior of most commonly accessing the homework section and uploading assignments (sending homework) completed after an aggregate of 6.81 views of assignments. Another finding is the number of students who choose to alter the randomly generated passwords sent to them until they enroll in the course. Only 7.5 out of every 1,000 accounts had their passwords changed. Novelty This was done since most students use computers and save their passwords in their browsers, which allows them to log in immediately the following time they use them. There isn’t a single type of assignment suitable for all students. Students may be asked to do some activities independently in specific instances. It’s done after viewing a demonstration, and it’s also done to spark creativity. We do not receive help despite the pipeline. In some circumstances, pupils are expected to complete work alone. It’s done after witnessing a demo, and it’s also done to promote creativity. We don’t get any help despite the pipeline. We solely accept online lesson links
Jason W. Haryanto, Ardi, Dewi Sri Surya Wuisan, Chandra Lukita, and Maulana Yusuf
IEEE
This study aims to assess and analyze the antecedents of continuance usage intention on health application users by combining the modified technology continuance theory (TCT) with the theory of planned behavior (TPB) and the privacy-trust-behavioral intention (PTB) model. Modified TCT consists of confirmation, perceived usefulness, perceived ease of use, satisfaction, attitude, and continuance usage intention. TPB consists of attitude, perceived behavioral control, subjective norm, and continuance usage intention as behavioral intention. PTB consists of perceived privacy and security risk, trust, and continuance usage intention as behavioral intentions. The method used in this study is non-probability sampling, which is purposive sampling through a questionnaire. The targeted population was mobile health application users, with 118 samples. Statistical results were analyzed with PLS-SEM in SmartPLS 4.0.9.1. The result of the study showed positive and significant effects in the modified TCT except for perceived ease of use-perceived usefulness, perceived ease of use-attitude, and satisfaction-continuance usage intention. The results also showed positive and significant effects on TPB and PTB variables. Furthermore, the study revealed that attitude strongly affected continuance usage intention (0.357). Research outcomes indicated an essential contribution toward user post-adoptive behavior on mobile health applications. The user’s attitude toward health applications is a relatively stable variable that can be influenced and shaped by experiences over time, leading to a more positive or negative outlook depending on the nature of those experiences. This study provides valuable insight for mHealth application developers and researchers in human behavior and health technology.
Chandra Lukita, Muhammad Wali, Richard Andre Sunarjo, Eka Purnama Harahap, Fitra Putri Oganda, and Nimatul Khofifah
IEEE
This digital era has changed people’s behaviour, including people’s behaviour in reading. Seeing changes in people’s behaviour in tasks that prefer everything digital, reading sources need to be marketed in digital form, such as e-books and e-journals. These e-books and e-journals are available at E-Book, Raharja University’s digital library. This study aims to provide a Business Model Canvas (BMC) as a marketing business strategy that can make it easier for the public to find books and journals in universities. This research was also conducted using the Systematic Literature Review (SLR) method. The novelty in this research is also the use of the Business Model Canvas (BMC), which incorporates elements as a reference in marketing e-books and e-journals in e-books. The results show that the Value Proposition offered by e-books is to provide convenience, a more affordable price, and a more trusted platform for the public to obtain reading resources. With the Value Proposition of the Business Model Canvas (BMC), this research will provide benefits in the future, make it easier for people to read and can indirectly increase the number of people’s reading interest in Indonesia.
Chandra Lukita, Marsani Asfi, Sudadi Pranata, Amroni, Taufan Huneman, and Chairun Nas
IEEE
Facing the challenges of digitization, universities are required to transition from traditional academic processes to digital academic processes. One common issue that frequently arises is the university’s inability to manage data, ensure security, and validate every academic process digitally. This incapacity stems from the limitations of the technology used and the lack of integration among the implemented systems. Therefore, the adoption of blockchain technology is crucial to enhance the efficiency, security, and integrity of the systems used by universities. The objective of this research is to implement blockchain technology in the development of a digital university to maintain resilience to change and transparency in academic processes. The research method involves the analysis of academic service needs, the design of an integration system using blockchain technology, and implementation in a university environment. The use of blockchain concepts is directed at improving security, transparency, and efficiency in academic data management. The applied blockchain technology involves the automation of administrative processes, both academic and financial, recording and reporting teaching and learning processes, providing digital facilities, as well as analyzing challenges and obstacles that need to be overcome in implementing blockchain technology in universities. The results of implementing blockchain technology can enhance the potential quality of educational services, improve data security and validation, and stimulate innovation in the education sector. Therefore, blockchain technology can make a positive contribution to transforming the digitized landscape of higher education.
Chandra Lukita, Ninda Lutfiani, Arop Ria Saulina Panjaitan, Bhima, Untung Rahardja, and Muhamad Lutfi Huzaifah
IEEE
Startups are an important element in innovation and economic growth. However, startup failure is very high, so investors, governments, and startups need to predict startup success. This research develops a startup success prediction model based on random forest with multi-layer decision analytics attributes, partnership longevity predictions, importance feature ranking, cross-industry startup evaluations, and ensemble learning benefits. This research uses secondary data from Crunchbase, AngelList, and VentureBeat. The data is processed with data cleaning, feature engineering, and feature selection. The data is divided into training data and testing data with a ratio of 80:20. The training data trains a random forest model with sci-kit-learn in Python. The model is evaluated by accuracy, precision, recall, F1-score, and ROC-AUC. The testing data tested the random forest model and compared it with other models. This study also used SmartPLS to test hypotheses in a variance-based SEM model with PLS path modelling. This study used 370 respondent data for SmartPLS with SmartPLS software. The results show that the random forest model is better than other models in predicting startup success. The model provides information about important features in predicting startup success. SmartPLS results show that all hypotheses are accepted with statistical significance. The model has high explanatory power and predictive power.
Chandra Lukita, Nana Sutisna, Abdul Hamid Arribathi, Fitra Putri Oganda, Sheila Aulia Anjani, and Adam Faturahman
IEEE
In the rapid development of the digital world, the management and verification of academic records have become critical concerns for higher education institutions. This research investigates the transformative potential of blockchain technology to enhance transparency in academic records within the context of higher education. The study employs the Structural Equation Modeling (SEM) method using SmartPLS as the analytical tool. The main variables under scrutiny encompass Academic Records, Higher Education Institutions, Blockchain Transparency Features, Data Integrity, and Institutional Challenges and Opportunities. The significance of this research lies in the growing demand for reliable and accessible academic records in the digital era. The research methodology involves a quantitative approach, with a sample drawn from various stakeholders in higher education institutions, including students, faculty, and administrative staff. The analysis aims to establish causal relationships among these variables, assess the impact of blockchain transparency features on data integrity, and explore their implications for managing academic records. These findings contribute not only to academic literature but also offer practical insights for institutions seeking to leverage blockchain technology to enhance transparency and integrity in academic records.
Sri Watini, Zulkarnain Kedah, Chandra Lukita, Petrus Sokibi, Gadis Mustika, Reymund Rahardja, Arsi Yulianjani, and Husni Teja Sukmana
IEEE
In the industrial era 4.0, it has surpassed increasingly complex technological advances in the information system that required a very high infrastructure and facilities and prevented fraud. Counterfeiting is a procedure following an entity, statistics, or documents (observe forged documents) with plans to deceive. Falsification of extensive information certificates is exacerbated by the current economic situation in Indonesia, which is currently occurring due to the widespread epidemic, namely COVID-19. The spread of the COVID-19 outbreak has had a significant impact and changes in all sectors, especially certificate forgery in Indonesia. The imitation of busy certificates is the main focus of this journal, focusing on journal publications combined with Blockchain technology. The sophistication of blockchain technology as authentication is comparing two or more items or additional tests to ensure the accuracy, correctness, or correctness of the information. This method uses qualitative methods with data sources based on case studies in controlled supervision with the basic concept of cryptography as the basis of analysis. From the decisions made, it is hoped that this will minimize the level of forgery of certificates widely measured during the COVID-19 era.
Chandra Lukita, Dewi Sri Surya Wuisan, Po Abas Sunarya, Dede Cahyadi, Mardiana, Agung Yudo Ardianto, and Alfiah Khoirunisa
IEEE
The development of information technology in the field of registration must be supported by the existence of information that supports learning activities, facilities, without having difficulty getting information prospective new students can carry out online consultations via video calls in real time with Rangers 2.0 (Marketing) Raharja University. Usually a university only uses the chat method with whatsapp for prospective students to conduct consultations. Therefore, the purpose of implementing this web service is to produce a web-based application that can be used by prospective new students to register and consult directly with the campus. This new service system is expected to have a positive impact resulting in: 1) Providing the best service for prospective new student relations with the campus 2) Efficiency for both parties. The method used in this study is Interactive vCRM (Virtual Customer Relationship Management), which is to provide better services and approaches virtually. In this expert system service system, prospective new students can make video calls to consult with the marketing department and send the documents needed for registration. The end result of this study is to optimize the use of Rangers 2.0 to measure the quality improvement obtained. Improving the quality of the online registration process on a campus is expected to continue to improve the quality in the eyes of the public.
Dewi Sri Surya Wuisan, Tarisya Ramadhan, Shofiyul Millah, Chandra Lukita, Sudaryono, and Ageng Setiani Rafika
IEEE
One of the key advancements in the development of smart grids is the use of transactive energy, which utilizes distributed energy resources like smart grids Contributions In today’s industrial era, where technology is developing very quickly, it is essential to use electricity as needed to prevent loss, waste, and supply shortages "Smart Electric" or "Smart Grid" design is strongly advised in this situation The following advantages in terms of cost-effectiveness are anticipated: Large enough for even technical solutions to be taken into account. This will be implemented extensively by key electricity companies Utilizing transactive energy in a smart grid, however, introduces new security issues such unauthorized energy transfers Novelty This study proposes a Blockchain based smart contract architecture with fully decentralized capabilities for dependable and inexpensive transactive energy. The Blockchain, which has a high replication rate and provides stronger security against manipulation, is used to record energy transaction data These enhancements can be made via Blockchain technology Blockchain technology is confirmed as a promising option to raise the share of renewable energy after the development of renewable energy and how it interacts with Blockchain technology are examined. The various Blockchain applications in are then divided into various categories, including smart contracts and Demand Response (DR), Electric Vehicles (EV), the Internet of Things (IoT), decentralized energy management, energy trading, financial transactions, and cyber security testbeds, as well as environmental concerns The energy auction is run in accordance with transparent rules that are implemented as a smart contract, making it accessible to all parties Threats resulting from known smart meter vulnerabilities are decreased by temporarily limiting vulnerable prosumers’ access to smart meters and updating their devices as soon as security solutions are available.
Qurotul Aini, Widya Febriani, Chandra Lukita, Sandy Kosasi, and Untung Rahardja
IEEE
In this new normal era, the community is directed to minimize activities and meet other people or goods. This is aimed at avoiding an increase in the number of the spread of the Covid-19 virus. Following the government directive, a study was conducted to facilitate one of the activities of students and educators, namely online attendance called AttendX. The way this system works is effortless. By just registering, the system can verify faces that have been registered for attendance. This application is designed with modern facial recognition technology that has developed rapidly, with this sophistication can make it easier to detect faces in structured parts such as the forehead, cheekbones, eyes, and even the nose. In compliance with the new normal regulations, the AttendX platform is designed to detect faces if the user is wearing a mask. Because of the convenience of online attendance using faces, this AttendX study resulted in a peak implementation with an accuracy rate of 99%. This shows that AttendX can be used to perform student attendance well.
Chandra Lukita, M. Hatta, Eka Purnama Harahap and Untung Rahardja