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All Journal Jurnal Statistika Universitas Muhammadiyah Semarang Indonesian Journal on Learning and Advanced Education (IJOLAE)
Intan Lisnawati
National Central University
Decision Sciences, Operations Research & Management Education Environmental Science Languange, Linguistic, Communication & Media Social Sciences Other

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“Make A Match Model” for Improving the Understanding of Concepts and Student Learning Results Ana Juliani; Ali Mustadi; Intan Lisnawati
Indonesian Journal on Learning and Advanced Education (IJOLAE) Vol. 3, No. 1, January 2021
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/ijolae.v3i1.10269

Abstract

This study applies the “Make A Match model” to mathematics subjects, in increasing the ability to understand concepts and student learning outcomes in mathematics. This type of research is Classroom Action Research (CAR) and uses a Kemmis and Taggart model design with four stages, namely 1) Planning, 2) Action, 3) Observation, and 4) Reflection with a qualitative approach. This study uses 3 cycles, namely pre-cycle, cycle I and cycle II. Each cycle consists of four stages, namely: planning, action, observation, and reflection. This research was conducted at Yogyakarta PGRI University. The research subjects are second-semester students majoring in Elementary education (Pendidikan Guru Sekolah Dasar, hereafter called “PGSD”). The instrument used was a test that contained questions in the form of essays. Analysis of the data used is qualitative descriptive analysis. The results were obtained based on indicators of concept understanding, namely in the second cycle which increased including 1) students who were able to restate the concept from 62.50% in the pre-cycle to 76.38% in the second cycle, 2) students who were able to give examples 72.76% in the pre-cycle to 76.38% in the second cycle, 3) students who are able to present concepts in various representations from 70.86% in the pre-cycle to 85.34% in the second cycle, and 4) students who are able to associate internal or external Make A Match model from 70.69% pre-cycle to 76.38% in cycle II. It was concluded that the “Make A Match learning model” can improve students' understanding of concepts and learning outcomes in mathematics learning.
DECISION TREE-BASED GRADIENT BOOSTING: ALGORITHM TO APPROACH HOUSE PRICE PREDICTION IN JAKARTA, BOGOR, DEPOK, TANGERANG, BEKASI (JABODETABEK) Intan Lisnawati; Anjasmoro Adi Nugroho
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 12, No 2 (2024): Jurnal Statistika Universitas Muhammadiyah Semarang
Publisher : Department Statistics, Faculty Mathematics and Natural Science, UNIMUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26714/jsunimus.12.2.2024.1-9

Abstract

The house sale prices are a particular concern for some people, whether sellers or buyers, for personal use or investment. Commonly, the buyer comes from newly-married couples, parents, or investors. Compared to years ago, the recent price is more expensive due to some conditions over the time. Forecasting is a method to see at which price the house may fit the market price with certain features. Through this study, we complement the previous research about house prices and analyze the results. Besides, here we also break down the algorithm and sketch the steps so that it eases the reader to understand the method. Exploratory data analysis is also done to see and analyze the characteristics of the dataset. Applying decision tree-based gradient boosting, we run the algorithm into datasets in Jakarta, Bogor, Depok, Tangerang, and Bekasi (Jabodetabek) consisting of house price and its features. We see that the RMSE value is Rp277.369.397 and the MAPE is 17,3%. With that value of accuracy we could mention that gradient boosting is quite competitive compared with other methods and able to give its best prediction over house prices.
Co-Authors Ali Mustadi Ana Juliani Anjasmoro Adi Nugroho