https://dspace.uc.ac.id/handle/123456789/6537 Jurnal Publikasi Luar Fri, 24 Apr 2026 13:39:50 GMT 2026-04-24T13:39:50Z https://dspace.uc.ac.id/handle/123456789/6572 BINUS : Business Review Kurniawan, Daniel; Ardyan, Elia ABSTRACTThe impact of family business has been recognized globally. However, according to some facts and previous studies, the performance of family businesses may decline as they age and the generations change. The research tried to explore the differences in firm performances based on company size, company age, and the generation of the leaders of the firms to confirm the results from the previous study. The data were compiled from 213 companies that vary in size. There were micro, small, small-medium, big-medium, and big firms. The possible presence of significant differences in firm performance based on company size, age, and generation of the leaders was analyzed using the Analysis of Variances (ANOVA). ANOVA test shows no significant differences in company age, company size, and the generation of the leaders toward their firm performances. The research clarifies the previous studies stating that there are significant differences in those three independent variables toward firm performance. The research also shows no significant difference in different generation of the leaders toward company size. Hence, it means the firm performance of companies cannot be determined only by knowing its size, age, or the generation of the leaders. There must be other factors that can help to identify the firm performance of a company. Focus and Scope Binus Business Review (BBR) provide a forum for lecturers, academicians, researchers, practitioners, and postgraduate students to publish empirical multidiscipline research in business & management research, from operations to corporate governance and marketing. All empirical methods including, but not limited to, qualitative, quantitative, field, laboratory, meta-analytic, and mixed methods are welcome. Mon, 31 Oct 2022 00:00:00 GMT https://dspace.uc.ac.id/handle/123456789/6572 2022-10-31T00:00:00Z https://dspace.uc.ac.id/handle/123456789/6571 JuTiSi : Jurnal Teknik Informatika dan Sistem Informasi Wienadi, Jessica; Soekamto, Yosua Setyawan Abstract Food is a necessity that is needed by anyone. One way to obtain food is to cook. Many people choose to cook their own food, even more so during the Covid-19 pandemic which caused cooking preferences to increase. One of the things used when cooking is recipes. Recipes need to be saved for easy reuse. Hence built a food recipe collection app that helps store recipes on mobile devices. The application is built on iOS. To find out the problems and needs in recipe saving, interviews were conducted, and problems were found regarding separated storing location and diverse storing format, limited search capabilities on current saving method, time-consuming input processes, and disturbing automatic-lock on device. Analysis of similar applications were also conducted and found shortcomings related to the flow and application interface. Based on these results, the application is designed with two main features, namely recipe storage and cooking mode. In recipe storage, users can add, change, and delete recipes. Once a recipe is saved, users can view a list of saved recipes, view recipes by category, and search for recipes by title. In cooking mode, users are given a checklist to prepare ingredients and then given a step-by-step. Application development uses the Swift programming language, with Swift User Interface to build the app's interface. Application data is stored locally using Core Data. Testing of application implementation results is carried out using alpha test and beta test. Alpha tests are performed using black-box test, to ensure the accuracy of inputs and outputs of various application functions. The beta test is done by conducting application trials and interviews with cooks to ensure application usability and to obtain feedbacks from users. Based on the test results, all functions in the application run as expected and this application helps users save food recipe collection. Focus and Scope Paper topics that can be included in JuTISI are as follows, but are not limited to: • Artificial Intelligence • Business Intelligence • Cloud & Grid Computing • Computer Networking & Security • Data Analytics • Datawarehouse & Datamining • Decision Support System • E-Systems (E-Gov, E-Health, E-Commerce, etc.) • Enterprise System (SCM, ERP, CRM) • Human-Computer Interaction • Image Processing • Information Retrieval • Information System • Information System Audit • Enterprise Architecture • Knowledge Management • Machine Learning • Mobile Computing & Application • Multimedia System • Open Source System & Technology • Semantic Web & Web 2.0 Copyright Notice Upon the acceptance of the article by the Editorial Board of JuTISI and the decision to publish it, the copyright for the article will be transferred to JuTISI, published by the Faculty of Information Technology, Maranatha Christian University. The Faculty of Information Technology, Maranatha Christian University, as the publisher of JuTISI, holds the copyright to all published articles in this journal. Declaration of Copyright Transfer from the author to JuTISI can be done by completing the following form (which can be downloaded here). Creative Commons License cc-by-nc-4.0-88x31 This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License Wed, 21 Dec 2022 00:00:00 GMT https://dspace.uc.ac.id/handle/123456789/6571 2022-12-21T00:00:00Z https://dspace.uc.ac.id/handle/123456789/6570 Journal of Educational and Social Research Christiani, Natalia; Nainggolan, Romauli Abstract The purpose of this research was investigating prospective English teachers’ knowledge on mind mapping by using a questionnaire. There were 142 respondents from various semesters of their study in English Department, Faculty of Teacher Training and Education, in three cities in Indonesia, i.e., Medan, Sidoarjo, and Poso. The questionnaire consisted of 7 items of close and open-ended questions that asked about the prospective English teachers’ knowledge on mind mapping and its usage. Questionnaire was analyzed using descriptive quantitative research method. Result showed that almost 50% of the prospective English teachers have known about mind mapping. This bases result can be suggested to extend by analyzing its usage in another skills of English learned by these prospective teachers. Focus and Scope The Journal of Educational and social Research publishes research manuscripts in the field of education. Social research can improve our society’s lives and education. The aims and scope of the journal are to: serve as a forum for researchers around the world to present and discuss common concerns in local, national, global, international and transnational issues in social studies education; provide a journal that reports research on topics that are of international significance across educational and social contexts; publish high quality manuscripts that are of international significance in terms of findings. JESR seeks to help make available new evidence-based theories and understandings as to the extent and nature of educational change in diverse settings. The Journal of Educational and social research t is concerned with education in its broadest sense, including formal and non-formal modes, from preschool to adult education. Its particular focus is on understanding how education and development are embedded in social and activities, and how individuals and collective practices are transformed through education. The Journal of Educational and social research welcomes papers from all prosp Sat, 05 Mar 2022 00:00:00 GMT https://dspace.uc.ac.id/handle/123456789/6570 2022-03-05T00:00:00Z https://dspace.uc.ac.id/handle/123456789/6569 JUITA : Jurnal Informatika Saputri, Theresia Ratih Dewi; Lestari, Caecilia Citra; Siahaan, Salmon Charles Abstract To end the COVID-19 pandemics, the government attempted to accelerate the vaccination through various programs and collaboration. Unfortunately, the number is still relatively small compared to the number of populations in Indonesia. There are some reasons attributed to this challenge, one of them being the reluctance of citizens to accept the COVID-19 vaccine due to various factors. Knowing this factor to increase public compliance, the vaccination program can be speed-up. Unfortunately, traditionally acquiring the knowledge related to COVID-19 vaccine rejection can be challenging. One of the ways to capture the knowledge is by conducting a survey or interview related to COVID-19 vaccine acceptance. This method can be inefficient in terms of cost and resources. To address those problem, we propose a novel method for analyzing the topics related to the COVID-19 Indonesians’ opinions on Twitter by implementing topic modeling algorithm called Latent Dirichlet Allocation. We gathered more than 22000 tweets related to the COVID-19 vaccine. By applying the algorithm to the collected dataset, we can capture the what is general opinion and topic when people discuss about COVID-19 vaccine. The result was validated using the labeled dataset that have been gathered in the previous research. Once we have the important term, the strategy based on can be determined by the medical professional who are responsible to administer the COVID-19 vaccine. FOCUS AND SCOPE JUITA is intended as a media for informatics research among academics, practitioners, and society in general. JUITA covers the following topics of informatics research: Software engineering Artificial Intelligence Data Mining Computer network Multimedia Management Information System Digital forensics Game etc COPYRIGHT NOTICE Creative Commons License JUITA: Jurnal Informatika is licensed under a Creative Commons Attribution 4.0 International License. Tue, 01 Nov 2022 00:00:00 GMT https://dspace.uc.ac.id/handle/123456789/6569 2022-11-01T00:00:00Z