Vol. 3 No. 3 (2020): Desimal: Jurnal Matematika

Published: 20-09-2020

Articles

The Implementation of Regularized Markov Clustering with Pigeon Inspired Optimization Algorithm in Analyzing the SARS-CoV-2 (COVID-19) Protein Interaction Network

M. Syamsuddin Wisnubroto, Marsudi Siburian, Febri Dwi Irawati

191-200
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Probit Regression Analysis to Predict the Effect of Problem-Based Learning Model and Teams Games Tournament Cooperative Learning Model toward Students’ Learning Outcomes

Ulfah Ardianti, Leni Marlena

201-210
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Rainfall Model Using Principal Component Regression Analysis with R Software in Sulawesi

Annisa Alma Yunia, Dianne Amor Kusuma, Bambang Suhandi, Budi Nurani Ruchjana

211-218
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An Analysis of Mathematical Critical-Thinking Ability: The Impact of DCT (Dialogue Critical Thinking) and Learning Motivation

zuhan Nahdiyah, netriwati netriwati, Dian Anggraini, Fadly Nendra

219-226
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The Application of Non-linear Cubic Regression in Rice Yield Predictions

Retno Tri Vulandari, Hendro Wijayanto, Afan Lathofy

227-234
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The Influence of Jigsaw-type Cooperative Learning Model on Students' Mathematics Learning Outcomes and Motivation

M Amin, Fitriani Nur, mardhiah diah, Eka Damayanti, Suharti harti

235-246
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Modeling The Relationships Between Export, Import, Inflation, Interest Rate, and Rupiah Exchange

Nina Valentika, Vivi Iswanti Nursyirwan, Ilmadi Ilmadi

247-262
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The Annual Premium of Life Insurance on The Joint-Life Status based on The 2011 Indonesian Mortality Table

Stacia Litha Suryani, Rudi Ruswandi, Ahmad Faisol

263-270
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The Numerical Simulation for Asymptotic Normality of the Intensity Obtained as a Product of a Periodic Function with the Power Trend Function of a Nonhomogeneous Poisson Process

Ikhsan Maulidi, Mahyus Ihsan, Vina Apriliani

271-278
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Students’ Mathematical Problem Solving Abilities: The Impact of The Co-Op Co-Op Cooperative Learning Model and Missouri Mathematics Project

Rahma Faelasofi Sunanto, Risna Apriliani, Walidatul Nafi'ah

279-286
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Daily Profit Analysis: Daily Productivity Scheduling with Multiple Linear Regression

Fredi Ganda Putra, Muhamad Syazali

287-294
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