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All Journal CAUCHY: Jurnal Matematika Murni dan Aplikasi BAREKENG: Jurnal Ilmu Matematika dan Terapan Variance : Journal of Statistics and Its Applications Jurnal Pengabdian kepada Masyarakat Nusantara Jambura Journal of Biomathematics (JJBM) Tensor: Pure and Applied Mathematics Journal PENGAMATAN: Jurnal Pengabdian Masyarakat untuk Ilmu MIPA dan Terapannya Indonesian Journal of Computational and Applied Mathematics
Ilwaru, Venn Yan Ishak
Department Of Mathematics, Faculty Of Mathematics And Natural Sciences, University Of Pattimura
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Engineering Mathematics Mechanical Engineering Physics Social Sciences Transportation

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INFLATION FORECASTS IN AMBON USING NEURAL NETWORK APPLICATIONS BACKPROPAGATION Talakua, Mozart W; Ilwaru, Venn Yan Ishak; Tomasouw, Berny P; Limba, Syella Z
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 2 (2022): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (758.383 KB) | DOI: 10.30598/barekengvol16iss2pp483-496

Abstract

An artificial Neural Network is the processing of information systems on certain characteristics which are artificial representations based on human neural networks. Artificial Neural Networks can be applied to various fields in human life, one of which is the economic field. In this study, the Artificial Neural Network is used to predict the inflation rate using the Backpropagation method. The data used in this study is 144 data, with 100 data as training data and 44 data as test data taken from the Central Statistics Agency of Maluku Province from 2008-2019. The best prediction accuracy level is obtained by using learning rate (a) = 0.1, Target Error = 0.000001, Maximum epoch = 500, network architecture 11-1, and 70% training data sharing scheme and 30% test data. The average absolute error percentage (MAPE) is 85.21%.
DESIGN OF KIP KULIAH SELECTION SYSTEM AND RECIPIENT DETERMINATION USING SUPPORT VECTOR MACHINE (SVM) Talakua, Mozart Winston; Tomasouw, Berny Pebo; Ilwaru, Venn Yan Ishak
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 3 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss3pp1803-1814

Abstract

KIP Kuliah is tuition assistance from the government for high school graduates or equivalent with good academic potential but has economic limitations. In recent years it has been seen that the Indonesian government has always tried to increase the quota for KIP Kuliah recipients. In this study, the Support Vector Machine (SVM) method was applied to create a system for selecting and determining KIP Kuliah recipients. To obtain the best model to be used in the system, the training and testing data are divided into three data distribution schemes, namely 60/40, 70/30, and 80/20. After the training and testing process was carried out using the SVM method with various parameter variations, then the best accuracy rate of 94.59% is obtained in the 80/20 data sharing scheme for the nonlinear SVM model with the RBF kernel. With this system, it is hoped that the KIP Kuliah selection process at the tertiary level can run effectively, efficiently and the results of the determination are more targeted.
PELATIHAN PENGGUNAAN MEDIA PEMBELAJARAN ONLINE YANG TERINTEGRASI GOOGLE SUITE BAGI JEMAAT GPM IMANUEL OSM Rijoly, Monalisa E.; Aulele, Salmon Notje; Haumahu, Gabriella; Ilwaru, Venn Yan Ishak; Rahakbauw, Dorteus Lodewyik; Sinay, Lexy Janzen
PENGAMATAN: Jurnal Pengabdian Masyarakat untuk Ilmu MIPA dan Terapannya Vol 1 No 1 (2023): PENGAMATAN: Jurnal Pengabdian Masyarakat untuk Ilmu MIPA dan Terapannya
Publisher : Jurusan Matematika FMIPA Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/pengamatanv1i1p23-29

Abstract

Salah satu kebijakan pemerintah dalam memutus mata rantai Covid-19 dalam bidang pendidikan adalah dengan pemindahan proses belajar mengajar yang dilakukan di sekolah menjadi dilakukan di rumah. Kegiatan proses belajar mengajar seperti ini sekarang lebih dikenal dengan metode pembelajaran dengan sistem online. Penerapan metode pembelajaran dengan sistem online ini menuntut pendidik dan peserta didik tak terkecuali orang tua untuk memanfaatkan teknologi yang ada agar proses belajar mengajar di masa pandemi dapat berjalan dengan baik. Salah satunya dengan memanfaatkan platform berbasis website yang terintegrasi dengan Google Suite. Platform yang terintegrasi Google Suite yang sering digunakan sebagai aplikasi pembelajaran online, yaitu Google Classroom, Google Meet dan Google Form. Aplikasi-aplikasi tersebut sering digunakan karena tidak berbayar dan sederhana dalam mengoperasikannya. Peran orang tua dalam mendampingi, bimbing selama proses pembelajaran online bagi peserta didik khususnya tingkat sekolah dasar sangat diperlukan. Namun, kendala terbesar yang dihadapi orang tua yaitu keterbatasan pengetahuan dalam mengakses beberapa aplikasi tersebut. Melalui pelatihan penggunaan platform berbasis website yang terintegrasi Google Suite sebagai media pembelajaran online, diharapkan para orang tua serta peserta didik memiliki kecakapan dan pengetahuan yang lebih baik dalam mengakses beberapa aplikasi guna dapat menunjang terlaksananya metode pembelajan dengan sistem online.
Dynamics of Alcohol Consumption Model with Public Awareness and Saturated Incidence Beay, Lazarus Kalvein; Saija, Maryone; Rijoly, Monalisa E.; Lesnussa, Yopi Andry; Talakua, Mozart Winston; Ilwaru, Venn Yan Ishak
Indonesian Journal of Computational and Applied Mathematics Vol. 1 No. 2: June 2025
Publisher : Gammarise Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64182/indocam.v1i2.14

Abstract

This article develops a mathematical model for studying the impact of public awareness and intervention strategies on alcohol consumption patterns. To protect populations from addiction, we are focusing on educational campaigns and interventions. Alcohol consumption cases decrease as the model variable awareness susceptible class is increased through awareness campaigns and interventions. The nonnegativity and boundedness of the model's solutions are analyzed. A qualitative analysis of the model's equilibrium points and the alcohol reproductive number, R0, was performed. Global stability was analyzed for alcohol consumption at the positive equilibrium point via a suitable Lyapunov function. When the alcohol reproductive number (R0) is less than one, the alcohol-free equilibrium is globally asymptotically stable; otherwise, it is unstable. Although educational campaigns protect vulnerable people, their impact on the model is substantial. The simulation shows that the intervention directly and drastically reduces the target alcoholic population.
ANALYSIS OF INVESTMENT RISK IN MALUKU PROVINCE USING MEAN-VARIANCE APPROACH ON LOCAL OWN-SOURCE REVENUE (PAD) Bakarbessy, Lusye; Talakua, Mozard Winston; Ilwaru, Venn Yan Ishak
VARIANCE: Journal of Statistics and Its Applications Vol 7 No 2 (2025): VARIANCE: Journal of Statistics and Its Applications
Publisher : Statistics Study Programme, Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/variancevol7iss2page187-198

Abstract

This study aims to analyze investment risks in Maluku Province using the Mean-Variance approach on the Local Own-Source Revenue (PAD) data. The method used in this study is a quantitative analysis of time-series data on PAD from 2015 to 2022. The mean-variance model is used to calculate the rate of return and risk of each PAD component and to construct an efficient frontier as a basis for optimal decision-making. The results show that the regional tax PAD component offers a high rate of return with relatively low risk, potentially making it a stable source of revenue for local governments. These findings provide a basis for optimizing PAD allocation to improve fiscal stability and the sustainability of regional development.
Dynamical Properties of HIV/AIDS Model with Saturated Treatment Lazarus Kalvein Beay; Venn Yan Ishak Ilwaru; Muhammad Fandi Ansori; Lusye Bakarbessy; Monce Dahoklory; Maryone Saija
Jambura Journal of Biomathematics (JJBM) Volume 6, Issue 4: December 2025
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjbm.v6i4.34090

Abstract

Mathematical models are crucial for developing control strategies,  understanding disease transmission dynamics, and solving real-world problems. In this study, it applied a novel approach to the HIV/AIDS model. The saturated treatment was essentially used to model HIV/AIDS. A significant analysis of the HIV/AIDS epidemic model was presented, incorporating the new parameter. The mathematical analysis conducted on the model involved the examination of its boundedness,  determination of its equilibria, calculation of the HIV/AIDS reproductive number, and assessment of the stability of these equilibria.  The verification of the convergence analysis confirmed the effectiveness of the proposed scheme. The numerical results and simulations of the HIV/AIDS model are shown.  Biologically, we have conducted investigations to determine the effect of several parameters on the dynamics of HIV/AIDS transmission.
Co-Authors Achmad Syarief Syafie Ardial Meik Beay, Lazarus Kalvein Citra Fathia Palembang Doms Upuy Fhilya, Charlitta Haumahu, Gabriella JEFRI ESNA THOMAS RADJABAYCOLLE Lazarus Kalvein Beay Lexy Janzen Sinay, Lexy Janzen Limba, Syella Z Lusye Bakarbessy Maryone Saija Monce Dahoklory Muhammad Fandi Ansori Ojo, Mayowa Micheal Peter, Olumuyiwa James Rahakbauw, Dorteus L. RAHAKBAUW, DORTEUS LODEWYIK Ratuanak, Albertina Rijoly, Monalisa E. Sahusilawane, Maria Engeline Saija, Maryone Salmon Notje Aulele, Salmon Notje Talakua, Mozard Winston Talakua, Mozart W Talakua, Mozart Winston Tamaela, Stevanny Tentua, Jesica Tetimelay, Jeky Tomasouw, Berny P Tomasouw, Berny Pebo Vynska Amalia Permadi Warella, Royke Yohanes Wattimanela, Henry Junus Yopi Andry Lesnussa