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All Journal Media Penelitian Pendidikan : Jurnal Penelitian dalam Bidang Pendidikan dan Pengajaran BAREKENG: Jurnal Ilmu Matematika dan Terapan Jambura Journal of Mathematics Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Kaunia: Integration and Interconnection of Islam and Science Journal
Chasanah, Sri Istiyarti Uswatun
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Religion Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Energy Engineering Mathematics Mechanical Engineering Physics Transportation

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Supporting Akreditasi LAM Teknik: Evaluasi Implementasi MBKM di Fakultas Saintek UIN Sunan Kalijaga Yogyakarta Awaliyah, Dien Fitri; Wardati, Khurul; Fatimah, Siti; Futhona, Aulia Khifah; Chasanah, Sri Istiyarti Uswatun
Media Penelitian Pendidikan : Jurnal Penelitian dalam Bidang Pendidikan dan Pengajaran Vol 17, No 1 (2023)
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/mpp.v17i1.14311

Abstract

The fulfillment of the students’ rights to study for three semesters outside study programs is one program of Merdeka Belajar-Kampus Merdeka (MBKM) or Freedom to Learn-Independent Campus policy. The MBKM program has begun to be implemented at the Faculty of Science and Technology (Saintek) UIN Sunan Kalijaga Yogyakarta for almost 4 semesters. An evaluation has been conducted using the CIPP (Context, Input, Process and Product) evaluation model to assess its effectiveness. The results of the evaluation indicate that the program has had a positive impact on student achievement, although it has not yet met the standard for LAM Engineering accreditation that is having a certain number of outbound participants with a minimum of 20 credits. However, the program is trending in a positive direction, and it is hoped that it will continue to improve and provide benefits for all stakeholders particularly in support of LAM Engineering accreditation assessments.
ANALYSIS OF OPTIMUM CONTROL ON THE IMPLEMENTATION OF VACCINATION AND QUARANTINE ON THE SPREAD OF COVID-19 Nuha, Agusyarif Rezka; Achmad, Novianita; Rahman, Gusti Arviana; Abdullah, Syarif; Chasanah, Sri Istiyarti Uswatun; Valentika, Nina; Nashar, La Ode
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 4 (2022): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (426.143 KB) | DOI: 10.30598/barekengvol16iss4pp1139-1146

Abstract

This study constructs an SVIR-type COVID-19 spread model into a model with control variables or optimum control problems. In the formulation of the model with controls, we set four control variables, namely vaccination strategy, quarantine, reduction of vaccine shrinkage, and treatment. Pontryagin 's maximum principle is applied in the model as a sufficient condition to achieve optimum conditions for minimizing the objective function . This study uses a numerical solution to describe the theoretical results. The results showed that the control model could accelerate the decrease in the number of individuals in the infected population class. We found that vaccination is a top priority that needs to be done to reduce the number of cases of COVID-19 infection. In addition, the implementation of quarantine can also be considered to accelerate the decrease in the number of individuals infected with COVID-19.
Implementasi Penggunaan Generalisasi Thinning Process pada Penduga Fungsi Ragam Proses Poisson Periodik Majemuk Abdullah, Syarif; Mangku, I Wayan; Mursyidah, Himmatul; Huda, Mifathul; Ikhsan, Fajri; Chasanah, Sri Istiyarti Uswatun
Jambura Journal of Mathematics Vol 6, No 1: February 2024
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjom.v6i1.22491

Abstract

This article implements the thinning process algorithm, which has been generalized for estimators of compound periodic Poisson processes. The use of generalizations in the algorithm has been prepared with a linear trend in the periodic elements. This research aims to discuss estimators of the variance function. The method used in this research is the simulation method. Simulation results using a generalized algorithm thinning process show that in the case of a limited observation time interval, some estimators are good enough to approach the actual value. As the value of n increases, the simulated value of the estimator moves towards the predicted value. This is following the lemmas, theorems, and consequences that have been discussed. It was also found that several estimators were quite slow. This results in the movement of the bias, variance, and MSE values of the estimators being slow, even though they are moving towards 0. So that further modifications can be made to the model being studied.
Determination of Insurance Premiums Using The Optimal Bonus-Malus System with The Bayesian Method Zahro, Fatichatu; Chasanah, Sri Istiyarti Uswatun; Abdullah, Syarif
Kaunia: Integration and Interconnection Islam and Science Journal Vol. 21 No. 2 (2025)
Publisher : Fakultas Sains dan Teknologi UIN Sunan Kalijaga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/kaunia.5462

Abstract

This study develops an optimal bonus–malus premium model within a Bayesian decision-theoretic framework. Claim frequency is modeled using a Poisson distribution, while the number of claims exceeding a predefined critical threshold is modeled conditionally using a Binomial distribution. The Poisson intensity parameter is assigned an Exponential prior distribution, while the Binomial probability parameter follows a Beta prior distribution. The Exponential and Beta distributions are applied to model parameters rather than to observed data, ensuring probabilistic consistency. Since the Exponential distribution is a special case of the Gamma distribution, the Bayesian updating process remains mathematically coherent. To illustrate the model, a dataset of 1,000 simulated motor vehicle policyholders is generated in R under specified distributional assumptions. The results indicate that premiums increase with the number of claims exceeding the critical value and decrease with longer claim-free duration. The proposed framework provides a coherent and flexible approach for premium determination in bonus–malus systems. However, the findings are based on simulated data and specific modeling assumptions, which may limit direct empirical generalization.  
Modeling the Health Service Queuing System Using Petri Net and Max-Plus Algebra at Integrated Health Service Post (Posyandu) Abdullah, Syarif; Mursyidah, Himmatul; Wijaya, Ferdian Bangkit; Huda, Miftahul; Chasanah, Sri Istiyarti Uswatun; Nursafitri, Nadia Eka; Pertiwi, Dinda Dwi Anugrah
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Volume 14 Issue 1 April 2026
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v14i1.35889

Abstract

This study models the health service queue system at the Integrated Health Service Post (Posyandu) in Cilegon City, Banten, using the Petri Net and Max-Plus Algebra approaches to analyze the flow of participant arrivals and completion times. The data used are observational data from Posyandu activities simulated through a discrete event model, which includes several types of participants, namely: babies not standing yet, babies standing, pregnant mothers, and family planning programs. Petri Net modeling is used to represent the relationship between service transitions, while Max-Plus Algebra is used to calculate the process cycle time based on the critical path. The results of the study showed that the categories of non-standing babies, standing babies, and pregnant women/participants in the family planning program had identical service time patterns, namely a total duration of 17 minutes 19 seconds, with the main stages including measurement, midwife intervention, and provision of additional food. Max-Plus analysis confirms that the measurement and midwife intervention stages are the critical path that determines the length of service time. This study concludes that the combination of Petri Net and Max-Plus Algebra is effective in describing the dynamics of Posyandu queues and is able to provide quantitative information needed to identify bottleneck points and the basis for improving the service flow.
Co-Authors Agusyarif Rezka Nuha Aulia Khifah Futhona Awaliyah, Dien Fitri Himmatul Mursyidah Huda, Mifathul I Wayan Mangku Ikhsan Fajri, Ikhsan Khurul Wardati La Ode Nashar Miftahul Huda Nursafitri, Nadia Eka Pertiwi, Dinda Dwi Anugrah Rahman, Gusti Arviana Siti Fatimah Syarif Abdullah Valentika, Nina Wijaya, Ferdian Bangkit Zahro, Fatichatu