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All Journal Jurnal Karya Pendidikan Matematika AKSIOMA: Jurnal Program Studi Pendidikan Matematika Jurnal Matematika Sains dan Teknologi JTAM (Jurnal Teori dan Aplikasi Matematika) JURNAL PENDIDIKAN TAMBUSAI Saintifik : Jurnal Matematika, Sains, dan Pembelajarannya Psychology, Evaluation, and Technology in Educational Research EIGEN MATHEMATICS JOURNAL Indonesian Journal of Education and Mathematical Science Square : Journal of Mathematics and Mathematics Education InPrime: Indonesian Journal Of Pure And Applied Mathematics Jurnal Teknik Industri Terintegrasi (JUTIN) Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi FARABI: Jurnal Matematika dan Pendidikan Matematika Mejuajua MATHunesa: Jurnal Ilmiah Matematika Journal of Fundamental Mathematics and Applications (JFMA) Jurnal Teknologi dan Manajemen Industri Terapan Journal Industrial Engineering and Management (JUST-ME) Journal of Artificial Intelligence and Digital Business Journal of Mandalika Literature JURNAL ILMIAH TEKNIK INDUSTRI DAN INOVASI (JISI) Journal of Engineering and Science Application Jurnal Abdimas Indonesia Jurnal Ilmu Komputer dan Matematika
Ade Ima Afifa Himayati
Universitas Muhammadiyah Kudus
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COMPARATIVE ANALYSIS OF FUZZY TIME SERIES MARKOV CHAIN AND FUZZY TIME SERIES CHENG MODELS IN INFLATION PREDICTION KUDUS REGENCY Mursidah; Findasari; Ade Ima Afifa Himayati
MATHunesa: Jurnal Ilmiah Matematika Vol. 14 No. 02 (2026)
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/mathunesa.v14n02.p244-252

Abstract

Inflation is one of the important economic indicators that reflects price stability and people's purchasing power. Unpredictable inflation fluctuations require accurate forecasting methods to support planning and policy-making, especially at the regional level. This study aims to compare the performance of Markov Chain Fuzzy Time Series (FTS) and Cheng FTS in predicting inflation in Kudus Regency and to determine the most effective and efficient model. The data used is monthly inflation data for Kudus Regency, which is analyzed through the stages of determining the universe of discourse, interval formation, fuzzification, fuzzy logic relationship formation, and defuzzification. The accuracy level of the model is evaluated using Mean Absolute Error (MAE) and Root Mean Square Error (RMSE). The results showed that the Markov Chain FTS model performed better than the Cheng FTS model. The Markov Chain FTS produced an MAE value of 0.1811 and an RMSE of 0.2371, which were smaller than those of the Cheng FTS, which produced an MAE of 0.2659 and an RMSE of 0.3656. This advantage is due to the Markov Chain FTS's ability to utilize transition adjustments between states, making it more adaptive to data dynamics. Thus, it can be concluded that the Markov Chain FTS is the most effective and efficient model for predicting inflation in Kudus Regency. Keywords: Fluctuations, Fuzzy Time Series, Markov chain, MAE, RMSE.
Application of the Greedy Algorithm for Graph Coloring of the Grobogan Regency Map: Application of the Greedy Algorithm for Graph Coloring of the Grobogan Regency Map Ade Ima Afifa Himayati; Muhammad Adib Jauhari Dwi Putra; Erik Maurten Firdaus; Muhammad Faudzi Bahari
Eigen Mathematics Journal Vol. 5 No. 2 Desember 2022
Publisher : University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/emj.v5i2.149

Abstract

The district map in Grobogan Regency can be optimized using the Greedy algorithm. The point on the graph represents the district and the line represents two areas that are directly adjacent. Greedy Algorithm is one of the algorithms developed to solve the problem of graph coloring to be able to produce minimal colors that are used without having the same color in areas that are directly adjacent. Greedy’s algorithm uses a set of color candidates and solutions in its solution. Staining is done at the point with the greatest degree followed by an examination of the appropriateness of the color with the principle that no neighboring points have the same color. The resulting color is included in the solution set. The process is continued until all the dots have been colored. Regional coloring in Grobogan district produces four colors with a greedy algorithm as the minimum color solution obtained
Co-Authors Achmad Ridwan Achmad Ridwan, Achmad Adriyan Yudhistira Agung Prihandono Alif Miftachul Nasikhah Alisa Apriliani Arlinwibowo, Janu Avira Budianita Azma Rosyida Cikita Berlian Hakim Dhina Cahya Rohim Dina Amalia Fitri Dwi Putra, M. Adib Jauhari Edi Wibowo Suwandi Erik Maurten Firdaus Fathimah Isnina Fatima, Gupita Nadindra Fida Maisa Hana Fifi Endah Irawati Findasari Findasari Findasari Findasari Findasari Harjanti, Agustina Eka Ika Tristanti Ika Tristanti Ilma Nur Hikmah Intan Meila Putri Pertiwi Irma Sari Rahmawati Ivanna Isty Nursani Janu Arlinwibowo Jeki Purnomo Khoiroh Alfiana Khoiroh Alfiana Khoiroh Alfiana, Khoiroh Khoirun Nisak Syifana Lillah, Sabbaha Sinai M. Adib Jauhari Dwi Putra Manggalastawa Manggalastawa Manggalastawa, Manggalastawa Maryatin Maryatin Milad Naufal Akbar Moh Aris Prasetiyanto Muadzah Muadzah Muh Latholiful Minan Muhammad Adib Jauhari Dwi Putra Muhammad Adib Jauhari Dwi Putra Muhammad Aris Prasetyo Muhammad Faudzi Bahari Muhammad Faudzi Bahari Mursidah Mursidah Nuaf Maulana Nugroho Nugraha, Yoga Awalludin Nunung Agus Firmansyah Nunung Agus Firmansyah Nur Alisa Nur Hakimah Nursani, Ivanna Isty Putri Ameliatussholichah Rifqi Azwar Annas Rosita, Melvin Dewi Rosyida, Azma Saharani, Safira Sakna Binta Munaya Sari, Mita Puspita Sofiarini, Ida Ulil Albab Utami, Risqi Widya Cholid Wahyudin Yeni Zakiyatul Ibriyah Yulisetyaningrum Yunita Nur Afifah Yunus Mustaqim Yunus Mustaqim, Yunus Zulfa Laila Khoirun Nisa