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COMPARISON OF FUZZY LOGIC METHODS OF MAMDANI AND SUGENO IN DETERMINING THE ELIGIBILITY VALUE OF KIP-KULIAH SCHOLARSHIP RECIPIENTS Latuconsina, Umi Aulia Vasa; Leleury, Zeth Arthur; Tilukay, Meilin Imelda; Haumahu, Gabriella
Parameter: Jurnal Matematika, Statistika dan Terapannya Vol 4 No 1 (2025): Parameter: Jurnal Matematika, Statistika dan Terapannya
Publisher : Jurusan Matematika FMIPA Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/parameterv4i1pp55-62

Abstract

The government through the KIP-Kuliah program provides educational assistance to students from underprivileged families who continue their education at university. Although this program aims to increase access to higher education, there are several problems in its implementation, such as inaccuracy in determining the eligibility of scholarship recipients. This study aims to determine and compare the eligibility of KIP-Kuliah scholarship recipients in the UNPATTI Mathematics Study Program using the Fuzzy logic method of Mamdani and Sugeno, which considers factors such as parental dependents, parental income, and diploma grades. The calculation results show that the level of accuracy of the Mamdani method is 75.64% and the Sugeno method is 95.15%. Based on these results, it can be concluded that the Sugeno method provides a better level of accuracy than the Mamdani method in determining the eligibility of KIP-Kuliah scholarship recipients in the UNPATTI Mathematics Study Program.
Implementation of the Advanced Encryption Standard (AES) Algorithm to Protect Children Personal Data Patty, Dyana; Kololu, Selvy Marchia; Dahoklory, Novita; Leleury, Zeth Arthur
Parameter: Jurnal Matematika, Statistika dan Terapannya Vol 4 No 2 (2025): Parameter: Jurnal Matematika, Statistika dan Terapannya
Publisher : Jurusan Matematika FMIPA Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/parameterv4i2pp261-274

Abstract

The rapid development of information and communication technology is inseparable from data security issues. In today's digital age, one type of data that is vulnerable to cyber security threats is children's personal data. Protecting children's personal data is an important priority in safeguarding their privacy and digital security. This research applies AES-256 on a website to secure personal data within the database. AES-256 is a symmetric cryptographic and block-ciphertext algorithm that can encrypt and decrypt data/information with a key size of 256 bits, which can be used to secure data. Results demonstrate that AES-256 effectively maintains full name, NIK and password confidentiality and integrity, rendering the encrypted ciphertext difficult to interpret or access. This study provides a basis for advancing data security and related applications which strengthens the complexity of encrypted children's personal data against cryptanalysis attacks.