Article Per Year (5 Year)
p-Index From 2021 - 2026
0.61
P-Index
This Author published in this journals
All Journal Research Review: Jurnal Ilmiah Multidisiplin Jurnal Riset Mahasiswa Matematika Journal of Mathematics, Computation and Statistics (JMATHCOS)
Armayani Arsal
Universitas Negeri Gorontalo
Humanities Education Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

Published : 3 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 3 Documents
Search

 1 
Development of a Hybrid Model of Diffie–Hellman and Hill Cipher Based on Fuzzy Sets for Strengthening Cryptographic Key Security Armayani Arsal; Muh. Fachrul Latief
Journal of Mathematics, Computations and Statistics Vol. 9 No. 2 (2026): Volume 09 Issue 02 (June 2026)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/62jpw347

Abstract

In this paper, key security has been examined, which is a fundamental factor in cryptographic systems because the quality of the key significantly affects the algorithm's resilience against cryptanalysis attacks. This research aims to develop a hybrid cryptography model of Diffie-Hellman and Hill Cipher based on fuzzy sets. This hybrid model is designed by combining the advantages of Diffie–Hellman in the secure key exchange process with Hill Cipher as a matrix-based encryption algorithm. Fuzzy sets are used as an adaptive mechanism in the key generation and strengthening process to enhance the randomness, complexity, and uncertainty of the key value. The research methods include literature study, hybrid scheme design, fuzzy rule formulation, and implementation of encryption and decryption processes. The result of this research is the formation of a hybrid cryptography model capable of generating keys that are more difficult to predict, thereby strengthening data protection against potential cryptanalysis attacks.
Penerapan Metode Fuzzy Time Series Chen Orde Tinggi Pada Peramalan Nilai Tukar Petani Provinsi Gorontalo Nur Miftah Muhammad; Isran K. Hasan; Armayani Arsal; Emli Rahmi; Laode Nashar
Jurnal Riset Mahasiswa Matematika Vol 5, No 4 (2026): Jurnal Riset Mahasiswa Matematika
Publisher : Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/jrmm.v5i4.41337

Abstract

Nilai Tukar Petani (NTP) merupakan salah satu indikator ekonomi yang digunakan untuk menggambarkan tingkat kesejahteraan petani dan kondisi sektor pertanian. Pergerakan nilai NTP yang bersifat fluktuatif memerlukan pendekatan peramalan yang mampu menangkap pola data secara memadai. Penelitian ini bertujuan menerapkan metode Fuzzy Time Series (FTS) Chen orde tinggi untuk meramalkan Nilai Tukar Petani di Provinsi Gorontalo serta mengidentifikasi model orde yang memberikan tingkat kesalahan peramalan yang paling tepat. Data yang digunakan berupa data bulanan NTP Provinsi Gorontalo periode Januari 2020 hingga Oktober 2025 yang terdiri dari 70 observasi dan diperoleh dari publikasi resmi Badan Pusat Statistik. Data dibagi menjadi 80% data latih dan 20% data uji menggunakan pendekatan pembagian berdasarkan waktu. Tahapan analisis meliputi penentuan himpunan semesta, pembentukan interval, proses fuzzifikasi, pembentukan Fuzzy Logical Relationship (FLR) dan Fuzzy Logical Relationship Group (FLRG), defuzzifikasi, serta evaluasi kinerja model menggunakan Mean Absolute Percentage Error (MAPE). Hasil analisis menunjukkan bahwa model FTS Chen orde dua menghasilkan nilai MAPE sebesar 3,3164% pada data uji, yang lebih kecil dibandingkan dengan model orde satu. Sementara itu, model orde tiga tidak dapat digunakan secara optimal karena tidak terbentuk hubungan fuzzy pada beberapa periode data pengujian. Hasil ini menunjukkan bahwa pendekatan FTS Chen orde dua dapat memberikan hasil peramalan yang relatif lebih baik pada data NTP yang dianalisis dalam penelitian ini.
Regresi Robust Method Of Moment dan Weighted Least Square dalam Mengatasi Masalah Pencilan dan Heterokedastisitas (Studi Kasus: Tingkat Pengangguran Terbuka di Indonesia Tahun 2022) Agnalia Sintasya Putri; Armayani Arsal
Research Review: Jurnal Ilmiah Multidisiplin Vol. 4 No. 1 (2025): Research Review: Jurnal Ilmiah Multidisiplin (Februari 2025 - Juli 2025)
Publisher : Transbahasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54923/researchreview.v4i1.120

Abstract

Multiple linear regression is a method that investigates the relationship between independent variables and dependent variables. The purpose of this study is to examine data that has outlier and heteroscedasticity problems. The method used in this research is the Robust Method of Moment Weighted Least Square. This study uses data on Open Unemployment Rate (Y), Total Population (X1), Human Development Index (X2), and Labor Force Participation Rate. The results of parameter estimation with the Ordinary Least Square (OLS) method obtained the initial data equation Ŷ= 4.824 - 4.729 + 4.291 + 3.559. The test results on the model can be seen that there is heteroscedasticity and outliers. Robust Method (Method Of Moment) Weighted Least Square analysis obtained a regression equation Ŷ = 0.09023 + 0.15395 + 0.26832 + 0.52220 with R 2 of 0.068 and MSE of 0.63. The test results on the model can be seen that there is no heteroscedasticity and the outlier problem has been reduced. This shows that the Robust (Method Of Moment) Weighted Least Square method is a method that can be used for outlier and heteroscedasticity problems in data.
Co-Authors Agnalia Sintasya Putri Isran K Hasan La Ode Nashar Latief, Muh Fachrul Nur Miftah Muhammad Rahmi, Emli