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Journal : Infotekmesin

Sistem Perpustakaan Digital dan Administrasi Perpustakaan Dalam Meningkatkan Pelayanan Perpustakaan Cahya Vikasari
Infotekmesin Vol 12 No 2 (2021): Infotekmesin: Juli 2021
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v12i2.444

Abstract

Activities in the library The process of finding references will be difficult for users and with the Covid-19 pandemic condition, work from home is enforced, this will also have an impact on administration and services in the library. Development of a digitalization system and library administration in improving the services of the PNC library using the software development method of the system development life cycle and the system built on a web-based basis. The design uses the UML concept, system testing using the blackbox testing method, boundary value analysis, and system evaluation with the concept of end-user computing satisfaction. The purpose of this research is to build a library digitalization system and library automation that can assist the administrative process and service to users. The result of the research is a digitalization system that can provide information, namely references in the form of final project books and industrial internships in web-based libraries and independent circulation systems in libraries that will support library services more effectively and efficiently.
Klustering Data Mahasiswa Menggunakan Metode K-Means Sebagai Acuan dalam Penentuan UKT Mahasiswa Prasetyanti, Dwi Novia; Riyadi Purwanto; Cahya Vikasari; Rostika Listyaningrum
Infotekmesin Vol 15 No 2 (2024): Infotekmesin, Juli 2024
Publisher : P3M Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/infotekmesin.v15i2.2360

Abstract

Determining Uang Kuliah Tunggal/UKT for new students is important in Penerimaan Mahasiswa Baru/PMB process after PMB selection process. The determination of UKT groups by The PMB committee at Politeknik Negeri Cilacap is carried out one by one by looking at the economic data of new students. This condition has become a special problem due to the increase in PMB quotas in the PNC, so it requires alternative solutions that can be used as one of the benchmarks in the determination of a new student UKT group in PNC. The researchers used clustering with features that represent the economic conditions of new students with the K-means method to provide alternative solutions. The result of using the K-Means method in clustering, yielding a performance value for the number of clusters 8 of 1669,283, with the highest number of cluster members in cluster members in cluster 4 being 72 out of 275 data. The Elbow method test results to determine the best number of clusters resulting in 4 cluster with a performance value of 2462,003.