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All Journal JPMS (Jurnal Pendidikan Matematika dan Sains) dCartesian: Jurnal Matematika dan Aplikasi Jurnal Ilmu Dasar Jurnal Gaussian CAUCHY: Jurnal Matematika Murni dan Aplikasi Jurnal Didaktik Matematika Jurnal Karya Pendidikan Matematika Jurnal Daya Matematis PYTHAGORAS: Jurnal Program Studi Pendidikan Matematika AKSIOMA HISTOGRAM: Jurnal Pendidikan Matematika AL ISHLAH Jurnal Pendidikan JURNAL PENDIDIKAN GLASSER BAREKENG: Jurnal Ilmu Matematika dan Terapan Jambura Journal of Mathematics Laplace : Jurnal Pendidikan Matematika ESTIMASI: Journal of Statistics and Its Application Jurnal Statistika dan Aplikasinya Jambura Journal of Mathematics Education JAMBURA JOURNAL OF PROBABILITY AND STATISTICS Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Dikmas: Jurnal Pendidikan Masyarakat dan Pengabdian MATHunesa: Jurnal Ilmiah Matematika Research in the Mathematical and Natural Sciences Jurnal Riset Mahasiswa Matematika Journal of Mathematics, Computation and Statistics (JMATHCOS) d'Cartesian: Jurnal Matematika dan Aplikasi
Ismail Djakaria
Universitas Negeri Gorontalo
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Journal : Journal of Mathematics, Computation and Statistics (JMATHCOS)

 1 
Optimization of Interval Singh’s Fuzzy Time Series with Particle Swarm Optimization for Forecasting Consumer Price Index in Luwuk City siswanto, Navira; Djakaria, Ismail; Arsal, Armayani
Journal of Mathematics, Computations and Statistics Vol. 8 No. 1 (2025): Volume 08 Nomor 01 (April 2025)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jmathcos.v8i1.7282

Abstract

High inflation can threaten economic stability, with CPI as the main indicator to measure the inflation rate. Luwuk City experiences significant CPI fluctuations, reflecting economic uncertainty so an accurate forecasting method is needed. This research aims to apply Singh's Fuzzy Time Series (FTS) method optimised with Particle Swarm Optimization (PSO) to improve CPI forecasting accuracy. This research includes quantitative research, using secondary data obtained from monthly CPI data in Luwuk City on the official website of the Badan Pusat Statistik Kota Luwuk. The results showed that the use of PSO optimisation on Singh's FTS was able to optimise the prediction accuracy level of Singh's FTS forecasting on Luwuk City CPI data, with a MAPE value of 0.45%, where this value is less than 10% which indicates that the forecasting accuracy is very accurate.
Partial Least Square-Path Modeling Analysis of Factors Influencing the Consumptive Behaviour of Generation Z Agustina, Melisa; Djakaria, Ismail; Abdussamad, Siti Nurmardia; Payu, Muhammad Rezky Friesta; Adityaningrum, Amanda
Journal of Mathematics, Computations and Statistics Vol. 8 No. 2 (2025): Volume 08 Nomor 02 (Oktober 2025)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/jmathcos.v8i2.8014

Abstract

Consumptive Behaviour refers to individuals’ purchasing behaviour without considering long-term needs and financial conditions. This research presents the results of an analysis of the consumptive behaviour of Generation Z in Dungingi Sub-District, Gorontalo City, selected because it represents the second-largest Generation Z population in the city. The study used the Partial Least Square-Path Modeling (PLS-PM) method to measure factors influencing consumptive behaviour: financial literacy, fear of missing out (FOMO), and hedonistic lifestyle. The sampling technique used was purposive sampling, resulting in 378 respondents aged 17-27 years who are employed. The analysis results indicate that financial literacy and FOMO significantly influence consumptive behaviour, with FOMO being the most dominant factor. The resulting model has a value of 0,930, meaning that the three latent variables can explain 93,0% of the consumptive behaviour of Generation Z. This study is expected to provide useful insights for policymakers and related parties in adressing consumptive behaviour issues among Generation Z. Keywords: PLS-PM; Consumptive Behaviour; Generation Z
Co-Authors Agustina, Melisa Agusyarif Rezka Nuha Alamri, Fahima Amalia Tatu Armayani Arsal Armin Haluti Arwildayanto, Arwildayanto Asriadi Asriadi Boby Rantow Payu Caicy Magelo Demas Novaleda Abdul Karim Dewi Rahmawati Isa Dewi Rahmawaty Isa DEWI ZULYANI POMALINGO Djibran, Fahrudin Djihad Wungguli Evi Hulukati Fenly B Mohamad Fitra Reza Dj Wares Franky Alfrits Oroh Gaib, Muhammad Bachtiar Hamza B Uno HARIYATI H. USMAN Harun, Trieke Nurfadilah Haryati Octaviani Bempah Hasan, Irsan K. Hasan, Riyanto Hasan, Salmiaty Hendra Andrianto Yusuf Herlina Jusuf Isran K Hasan Iyohu, Lisa Rianti Jenny Patricia Ayu Kai K. Hasan, Isran Karmila Mokoginta Kartin Usman Kasim, Miranti H. La Ode Nashar Ladjali, Sri Indriani Lailany Yahya LISA SYAHRIA HASIRU Mahajani, Roy Mahmud, Sri Lestari Majid Majid Majid, Majid Mentari Rizki Sawitri Pilomonu Modeong, Fakhira Mohamad Rivaldi Moha Muhammad Rezky F. Payu Muhammad Rifai Madonsa Ningsih, Setia Ningsih, Setia NISKY IMANSYAH YAHYA Nosva Adam Yunus Novianty Djapri Nurhayati Abbas Nurjana Namko Ladjali Nursiya Bito Pakaya, Debyyansa Paputungan, Arsiullahnur R. Perry Zakaria Rahmi Moh. Amin Resmawan Resmawan Safrudin Ismail Salmun K. Nasib Silvani Yunus siswanto, Navira Siti Nurmardia Abdussamad Sri Endang Saleh Sri Haryatmi Kartiko Sri Lestari Mahmud Suhardiman Darson Tamu Sumarno Ismail suryo Guritno Swasti Maharani Syafrudin Katili Syamsu Qomar Badu Ukhti Nurfajriah Sasmita Ijonu Ulopo, Asrul S WA SALMI WD Rifqah Amalliah Ndangi Yamin Ismail Yusuf, Hendra Andrianto Zulkifli Alamtaha