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All Journal Sainteks Transmisi: Jurnal Ilmiah Teknik Elektro JURNAL SISTEM INFORMASI BISNIS Jurnal Pseudocode Jurnal Pengabdian UntukMu NegeRI SISFOTENIKA Network Engineering Research Operation [NERO] INOVTEK Polbeng - Seri Informatika Conference SENATIK STT Adisutjipto Yogyakarta Jurnal Teknologi Informasi MURA CYBERNETICS Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Building of Informatics, Technology and Science International Journal of Informatics and Computation JATI (Jurnal Mahasiswa Teknik Informatika) Dharma Raflesia : Jurnal Ilmiah Pengembangan dan Penerapan IPTEKS Jurnal Riset Sistem Informasi dan Teknologi Informasi (JURSISTEKNI) Information System Journal (INFOS) Melek IT: Information Technology Journal Ilmu Komputer untuk Masyarakat Jurnal Informatika Teknologi dan Sains (Jinteks) PELS (Procedia of Engineering and Life Science) Digital Transformation Technology (Digitech) International Journal of Health Science and Technology Jurnal Teknologi Informasi Mura NERO (Networking Engineering Research Operation)
Tikaridha Hardiani
Universitas Aisyiyah Yogyakarta
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Journal : International Journal of Informatics and Computation

 1 
Comparative Analysis of K-Means and K-Medoids Algorithms in New Student Admission Tikaridha Hardiani; Esi Putri Silmina
International Journal of Informatics and Computation Vol. 6 No. 2 (2024): International Journal of Informatics and Computation
Publisher : University of Respati Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35842/ijicom.v6i2.91

Abstract

Universitas ‘Aisyiyah Yogyakarta is one of the private universities in Yogyakarta. The large number of private universities in Yogyakarta has intensified the competition for new student admissions. In this situation, every university requires the right strategy to attract prospective students. One of the strategies used by Universitas ‘Aisyiyah Yogyakarta to capture the interest of potential students is by conducting direct promotions to schools in Yogyakarta, Java, and Sumatra. In the admission process for new students in the Information Technology Study Program, a common problem arises, which is the number of prospective students who do not complete re-registration each year. These students pass the selection and are declared accepted, but they do not proceed with re-registration. The school presentation strategy contributes to student admissions, making it a good strategy, but it requires significant operational costs. Promotion area segmentation is needed so that this strategy can be more targeted, resulting in more efficient spending. Segmenting or grouping promotion areas can be addressed using data mining techniques, specifically clustering. This study aims to segment promotion areas using clustering algorithms, namely K-Means and K-Medoids, along with the Cross-Industry Standard Process for Data Mining (CRISP-DM) methodology. The evaluation of DBI (Davies-Bouldin Index) showed that the K-Means algorithm performed better than the K-Medoids algorithm. The comparison between the K-Means and K-Medoids algorithms was assessed based on the DBI evaluation results, with the smallest DBI value observed in the K-Means algorithm. The DBI value for K-Medoids was 0.196, while for K-Means it was 0.170.
Android-Based Detection Application Of Indonesian Sign Language System (SIBI) Using Rapid Application Development Method Sadr Lufti Mufreni; Tikaridha Hardiani; Muhammad Ircham Maulana
International Journal of Informatics and Computation Vol. 6 No. 2 (2024): International Journal of Informatics and Computation
Publisher : University of Respati Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35842/ijicom.v6i2.92

Abstract

Deaf people have limited hearing which causes them to use sign language as a medium of communication. This research continues the development of the object model into an Android-based application to detect gestures of the Indonesian Sign Language System (SIBI) and translate them into spoken language. This research uses the Rapid Application Development (RAD) Method, the RAD Method development process is carried out iteratively through the stages of requirements planning, user design, construction and completion, with the Kotlin programming language and the TensorFlow Lite-based gesture detection model. Testing is done with respondents who are people with normal hearing or lay people and using the Blackbox Testing method. This application consists of three main features, real-time SIBI motion detection, information about SIBI, and translation from Indonesian to SIBI sign language. The test results from 30 respondents showed the usability test of the MySIBI application reached 85.6% which means this application is feasible to use and the results of Black Box Testing with an accuracy value of 100% which means the functionality of this system is very high. This application was successfully developed as an effective communication tool, which can bridge communication between deaf people and the wider community in Indonesia.
Co-Authors Adam, Nurul Tazkiyah Agil Setyo Prasandi Amalia Nur Afifah Choiruddin Edowardo, Muhamad Irfan Eka Noviani, Nor Firdonsyah, Arizona Gunawan Ediyasanto, Rahmat Indah, Mahrunisa Lutfandita Landistyas Maskhuri, Alip Mita Permatasari, Mita Muhammad Ircham Maulana Nurrohman, Muhammad Yusuf Nurul Latifah Priyatno, Fadhil Alif Putri Silmina, Esi Putri, Regina Noviyanti Rudy Hartanto Sadr Lufti Mufreni Salsyabila Vidia Nur Afni Selo Sulistyo, Selo Silmina, Esi Putri Silmina, Esi Putri Sodik Habibulloh, Akmal Sri Lestari Linawati Wahyu Fajri Wijayanto, Danur Zahra Arwananing Tyas