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All Journal Jurnal Ilmiah Kursor Journal of Natural Sciences and Mathematics Research Jurnal Matematika: MANTIK Unisda Journal of Mathematics and Computer Science (UJMC) Zeta - Math Journal DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) Abdimas UNWAHAS : Jurnal Pengabdian Masyarakat UNWAHAS Jurnal Abdi: Media Pengabdian Kepada Masyarakat Contemporary Mathematics and Applications (ConMathA) Didaktika: Jurnal Pemikiran Pendidikan Tensor: Pure and Applied Mathematics Journal Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) NERO (Networking Engineering Research Operation)
Tony Yulianto
Universitas Islam Madura
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Physics Social Sciences Other

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Journal : Tensor: Pure and Applied Mathematics Journal

 1 
Prediction of Divorce Data in Pamekasan District Based on Comparison of Exponential Smoothing and Moving Average Yudistira, Ira; Romlah, Siti; Yulianto, Tony; faisol, Faisol; Mardianto, M.Fariz Fadillah
Tensor: Pure and Applied Mathematics Journal Vol 5 No 2 (2024): Tensor: Pure and Applied Mathematics Journal
Publisher : Department of Mathematics, Faculty of Mathematics and Natural Sciences, Pattimura University, Ambon, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/tensorvol5iss2pp67-78

Abstract

Divorce is a form of breakdown in domestic or marital relationships which is characterized by separation. Based on the Indonesian Statistics report, the number of divorce cases in Indonesia will reach 516,334 cases in 2022. This number is up 15.31% compared to the previous year of 447,743 cases. East Java is ranked second as the province with the highest divorce cases, namely 102,065 cases throughout 2022. To know the development of divorce in the future, forecasting is needed to determine when an event will occur, an increase in the divorce rate, so that we can prepare what will be done to overcome the spike. the divorce rate. In this research, the methods used to predict the number of divorce cases in Pamekasan Regency are the Exponential Smoothing and Moving Average methods. single exponential smoothing method for both divorce lawsuits and divorce divorces with MAD values ​​= 10.40539 and 15.3366868, MSE = 449.0276211 and 181.0038, MAPE = 22.1859129 and 23.84152 and SE values ​​= 21.57911661 and 13, 70064 with a value of α=0.12 for contested divorce and α=0.26 for talak divorce.
Modeling the Spread of Hepatitis B Disease from the SEIR Model in East Java Using RKF 45 Na'malia, sakinun; Faisol, Faisol; Yulianto, Tony
Tensor: Pure and Applied Mathematics Journal Vol 6 No 1 (2025): Tensor: Pure and Applied Mathematics Journal
Publisher : Department of Mathematics, Faculty of Mathematics and Natural Sciences, Pattimura University, Ambon, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/tensorvol6iss1pp1-12

Abstract

Hepatitis B is an infectious disease that has a major impact on public health, especially in East Java Province with a high prevalence of cases. This study aims to model the spread of Hepatitis B using the SEIR model (Susceptible, Exposed, Infected, Recovered) and solved numerically with the Runge-Kutta Fehlberg method (RKF45). Simulation results for 10 years showed that the susceptible population decreased from to individuals, while the exposed compartment increased from to . The infected population peaked at around individuals in year 2 and decreased to individuals, while the cured population continued to increase until it reached at the end of the period. The SEIR model with the RKF45 method proved effective in describing the dynamics of the spread of Hepatitis B mathematically and can be utilized as a predictive tool in supporting public health policy.
Co-Authors Amalia, Rica Anekawati, Anik Anisa Anisa Anisa A’lailliyyin1, A’lailliyyin Buhari Buhari Dian Fitriani Emi Yunita Faisol Faisol Faisol Faisol, Faisol Fathorrozi Ariyanto Fatimatus Zahroh Fauzan . Firdausiyah Firdausiyah Hasan Hasan Ilmiyatus Solehah Ira Yudistira Ira Yudistira ku, Kuzairi Kuzairi Lilik Safitri M. Fariz Fadillah Mardianto Mahrus Mahrus, Mahrus Moch. Haikal Moh. Yaqin Mohamad Tafrikan Mohamad Tafrikan Mufarrohah, Mufarrohah Muhammad Rivai Na'malia, sakinun Noer Azizah Nur Jannah Nurfitriyah, Luluk Nurmadhani, Nadya Nurul Hasanah Nurul M’rifatil Laila Putri Amaningsih Qurrotul Aini Rahmah, Alfiana Faizzatur Rica Amalia Rica Amalia Rica Amalia Riyatun Hasanah Sari, Iin Nofita Sarmiatul Hasanah Siti Amiroch, Siti Siti Anisah Siti Lailiyah, Siti Siti Romlah Sofiyanto, Sofiyanto Sofyan, Moh. Sri Suryanti Suci Rohani Tengku Riza Zarzani N Ulfaniyah, Nur Ita Ummi Nur Yatun Hasanah Yaqin, Moh Yudistira, Ira Yulianto, Toni Zaifullah, Zaifullah Zainuddin, Moh Zuhrotul Hasanah Zulaikha, Layla Imroatu