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All Journal International Journal of Computer and Information System (IJCIS) Journal of Society Innovation and Development (JSID)
Riyono, Dwi
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Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Social Sciences

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The Design Motif of Batik Grafika Indonesia (Batik Pusgrafin) in National Batik Diversity Through Application Subject Nirmana Dwimatra-Trimatra Sri Herti, Dayu; Riyono, Dwi; Triana, Eka; David Mongkau, Immanuel Ronald
JOURNAL OF SOCIETY INNOVATION AND DEVELOPMENT Vol 5 No 1 (2023): Journal of Society Innovation and Development
Publisher : Winaya Inspirasi Nusantara Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63924/jsid.v5i1.25

Abstract

This research is a continuation of the dissertation on 'Transformation of the Indonesian Graphics Center/Pusgrafin in the Renewal of Educational Media in Indonesia, 1969–2008'. As a government institution in the field of graphics, one of its tasks and functions is to develop non-formal education through graphic training throughout Indonesia. This research aims to memorize pusgrafin as a renewal of educational media through the concept of creating pusgrafin batik motifs or Indonesian graphic batik so that it can enrich the diversity of batik motifs in Indonesia. Motifs with the philosophy of graphical batik motifs from local wisdom become one of the national batik diversities and support the program to increase the creative industry in Indonesia, both in books, journals, and scientific studies. The novelty of this research is that the existence of Indonesian graphical batik motifs as the embodiment of pusgrafin as one of the media to display a new identity or characteristics of a product will be able to contribute value to regional socio-economic growth, especially in the tourism and creative industry sectors. The locus at Politeknik Negeri Media Kreatif (PoliMedia Kreatif) is one of the vocational education institutions and the only state polytechnic in DKI Jakarta Province. As a revitalization of Pusgrafin, it has a role in developing various superior products, both produced by each study program and through collaboration between study programs. This research uses an art history/historiography research method with a methodology of social science, culture, and creative industry approaches. This research uses the subject matter of Indonesian Batik Grafika motif design in advanced courses: two-dimensional nirmana and three-dimensional nirmana. The results of batik motif design in the future will be applied to fashion products, especially batik clothing and merchandise/gimmicks.
Performance Comparison K-Nearest Neighbors and Random Forest on Predicting The Performance New Polimedia Student Admissions Riyono, Dwi; Mawardi, Cholid
International Journal of Computer and Information System (IJCIS) Vol 6, No 2 (2025): IJCIS : Vol 6 - Issue 2 - 2025
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v6i2.237

Abstract

New student admissions are at the forefront of the school's operational process. the success of each college's input stems from this. Polimedia always conducts new student admissions every year with various strategies used. Polimedia has 23 study programmes that can enable it to move in the creative industry that can be utilised by the community. in this study, a strategy using a prediction algorithm is used to be able to see the possible opportunities that occur if implemented in the coming year. with a dataset of 3738 data received by new students, an analysis will be carried out on prospective students who have re-registered or who have not re-registered. The classification model with 2 classes will be used. by conducting a data analysis process using exploratory data analysis (EDA) and also performing data cleansing so that the data modelling process runs well. The method used uses the main model of K-Nearest Neighbors by comparing with other machine learning models such as decision tree and random forest. It is expected that this research can produce high accuracy values 86.90% with powerful machine learning model comparisons. This research is also expected to be a reference for other studies that also conduct performance testing processes with machine learning models using various objects.
Co-Authors Cholid Mawardi David Mongkau, Immanuel Ronald Dayu Sri Herti Eka Triana, Eka