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All Journal INTEK: Jurnal Penelitian Indonesian Journal of Computer Science
Nadila Wirdatul Hidayah
Politeknik Elektronika Negeri Surabaya
Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering

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Invitin Project: Scrum Framework Implementation in a Software Development Project Management Nadila Wirdatul Hidayah; Rizka Rahayu Sasmita; Mustika Kurnia Mayangsari; Oskar Galih Wira Kusuma; Hestiasari Rante; Arna Fariza
INTEK: Jurnal Penelitian Vol 9, No 1 (2022): April 2022
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/intek.v9i1.3332

Abstract

The printed invitation is commonly used in our community to invite others to special events. In Indonesian society, this has happened inviting someone from door-to-door by sending printed invitations. Due to rapid information technology development, we proposed a website-based online invitation platform, Invitin. In general, the Invitin project has three main actors, which are customer, customer service, and admin. The methodology that we used was based on the SDLC (Software Development Life Cycle) and applied Scrum framework. Implementing the Invitin project using Scrum helps to organize development tasks easier and provides other benefits in some cases. Thus, Scrum increases our team productivity to develop a high-quality dynamic website application.
Semantic Information Search with Automatic Ontology Creation in Regulations National Standards for Higher Education in Indonesia Nadila Wirdatul Hidayah; Ali Ridho Barakbah; Iwan Syarif
Indonesian Journal of Computer Science Vol. 12 No. 3 (2023): Indonesian Journal of Computer Science Volume 12. No. 3 (2023)
Publisher : STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i3.3207

Abstract

In Indonesia, there are around ten types of legal products that contain higher education regulations. With a large number of articles, more effort is needed when users search for links between one article and another. Based on these problems, it is necessary to have an automatic article representation search system using an automatic ontology. Ontology refers to the hierarchical structure of entities and their relationships. In this paper, the results of the development of an information retrieval system with an automated ontology will be explained. This system describes a process begins with receiving input of higher education regulatory files which are used as data samples Permendikbud No 3 of 2020. Then split the data into articles, paragraphs and contents which are then formed ontologies by building 3 detection functions (Definitive Creation, Compound Creation, and Reference Detection). System output has an accuracy of search results reaching an accuracy of 92.5%.
Co-Authors Ali Ridho Barakbah Arna Fariza iwan Syarif Mustika Kurnia Mayangsari Oskar Galih Wira Kusuma Rante, Hestiasari Rizka Rahayu Sasmita