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All Journal ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA JTP - Jurnal Teknologi Pendidikan Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Journal for Lesson and Learning Studies
Andhika Herayono
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Religion Arts Humanities Computer Science & IT Economics, Econometrics & Finance Education Social Sciences Other

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Kansei Engineering and Multivariate Analysis Methods for Website Display Innovation Zulwisli Zulwisli; Andhika Herayono; Ambiyar Ambiyar; Syahril Syahril; Nurhasan Syah
Budapest International Research and Critics Institute (BIRCI-Journal): Humanities and Social Sciences Vol 5, No 1 (2022): Budapest International Research and Critics Institute February
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v5i1.3608

Abstract

Multivariate Factor Analysis is a technique in statistical calculations that functions in finding the main determining factors that have a major influence in a combination of statistical facts. On the preparation of the website interface according to the usability and function and also the involvement of the user's feelings so that it will intersect with Kansei Engineering. The researcher measured the consumer feeling about the part of the website that was widely used by using the Kansei Engineering Type I method. From the specimen material that had been applied for previous research, a discussion was developed which initially focused more heavily on Kansei Engineering and was used as an alternative update in utilizing multivariate factor studies. The fact that the survey output to the user will be carried out by applying Cronbach's Alpha multivariate statistical planning, Coefficient Correlation Analysis, Principal Component Analysis, Factor Analysis and Partial Least Square which has been applied to previous observations, then the highest value part of the two result factors will be assimilated as a the latest recommendation material that has been combined with the recommendation value of the new website section compared to the results of the previous unit factor analysis.
Pengaruh Manajemen Kepemimpinan Dan Kebijakan Jadwal Berpola Teknologi dan Informasi Terhadap Pembelajaran Di Jurusan Teknik Elektronika Andhika Herayono; Elsa Sabrina; Firdaus Firdaus; Dedy Irfan; Hansi Effendi
ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Vol 5, No 2 (2021): November 2021
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/algoritma.v5i2.10486

Abstract

Management and leadership are two different things that are brought together to achieve the goals of a group of fields. Leadership management is a form of leadership skills as a form of skills to lead, direct and motivate effectively and efficiently. One of them is with a policy that is a method that can be used by almost every group. Electronic Engineering is one of the majors that participate in providing policies on learning schedules in teaching and learning activities. Schedule policies can affect productivity and learning outcomes. The study schedule is still adjusted to any existing conditions. A field survey has been conducted during the learning process carried out by the Department of Electronics Engineering. This is proven by conducting a survey of the condition of the students of the Department of Electronics Engineering when carrying out the learning process on campus during advance, and during the learning process using internet access (remotely).Keywords: "Leadership Management, Schedule Policy, Learning, Learning Activities, Learning Schedule".
Inovasi Pembelajaran : Penilaian Mahasiswa Berbasis Sistem Berdasarkan Perspektif Motivasi Belajar dan Pengaruh Penggunaan Sistem Andhika Herayono; Dedy Irfan; Resmi Darni; Rizky Ema Wulansari; Elfi Tasrif; Qothrun Nada Ma'ruf Batubara
Journal for Lesson and Learning Studies Vol. 6 No. 3 (2023): October
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jlls.v6i3.68667

Abstract

The assessment process carried out by lecturers for students still uses previous utilization procedures, such as processing grades with Microsoft Excel, so it is less effective. This research aims to analyze system-based student assessments based on the perspective of learning motivation and the influence of system use. This type of research is quantitative research. The total research population is 100 students. The research sample was 55 students using random sampling techniques. The data collection method uses a questionnaire. The data collection instrument is a questionnaire sheet. The technique used to analyze the data is inferential statistics with Pearson correlation calculations used to analyze the relationship between the two variables. The analysis results show a strong positive correlation between learning motivation and the effect of using the assessment system. The correlation value is close to perfect, indicating that the higher the student's learning motivation, the greater the positive effect of using the assessment system on learning outcomes. These significant results emphasize the importance of a transparent assessment system in increasing student learning motivation. Students who clearly understand how assessments are carried out and how grades are assigned tend to be more motivated to achieve higher academic achievements. The contribution of this research is that innovation in the development and improvement of technology-based assessment systems is very relevant in supporting the achievement of better learning outcomes.
Student’s Digital Intentions Prediction Using CatBoost Zulwisli; Ambiyar; Muhammad Anwar; Andhika Herayono
JTP - Jurnal Teknologi Pendidikan Vol. 27 No. 1 (2025): Jurnal Teknologi Pendidikan
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat, Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/jtp.v27i1.54035

Abstract

Digital Education and Entrepreneurial (DE) represents a new paradigm in Education and Entrepreneurial that leverages digital technology to create, manage, and expand businesses. By integrating advanced digital tools and platforms, DE plays a crucial role in reshaping traditional business models, driving innovation faster, and enabling enterprises to reach broader markets. This transformative approach benefits individual entrepreneurs and contributes to broader economic development. One of DE’s most significant impacts is its ability to foster economic growth. By embracing digital Education and Entrepreneurial, businesses can create new jobs, increase competitiveness, and adapt more effectively to the demands of the digital age. These factors collectively ensure that economies are better positioned to thrive in a technology-driven world. A recent study developed a predictive model using the CatBoost algorithm to understand better the factors influencing digital Education and Entrepreneurial. This advanced machine learning method was applied to data collected from thousands of college students, encompassing various demographic, psychological, and business-related variables. The results demonstrated the model’s high accuracy in predicting intentions toward digital Education and Entrepreneurial, offering a reliable framework for analysis and application. The study identified three key factors influencing students’ intentions to pursue digital Education and Entrepreneurial. These are digital skills, which reflect their ability to navigate and utilize digital tools effectively; self-efficacy, their confidence in their entrepreneurial capabilities; and Education and Entrepreneurial education, which equips them with the knowledge and skills needed to innovate and create businesses. These findings provide valuable insights for educational institutions and policymakers. By emphasizing digital skills training, fostering self-efficacy, and enhancing Education and Entrepreneurial education programs, they can better prepare students to succeed in the digital economy. Such targeted initiatives empower individuals and contribute to the sustainable growth of digital Education and Entrepreneurial, reinforcing its role as a driver of innovation and economic progress.
Co-Authors Ambiyar, Ambiyar Batubara, Qothrun Nada Ma'ruf Dedy Irfan Elfi Tasrif Elsa Sabrina Firdaus Firdaus Hansi Effendi MUHAMMAD ANWAR Resmi Darni Rizky Ema Wulansari Syahril Syahril Zulwisli .