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All Journal Jurnal Ilmiah Mahasiswa FEB Eksponensial
Putri Ayu Dwi Lestari, Putri Ayu Dwi
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Mathematics Other

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Pengklasifikasian Status Gizi Balita di Puskesmas Sempaja Samarinda menggunakan Probabilistic Neural Network (PNN) Tahun 2019 Lestari, Putri Ayu Dwi; Hayati, Memi Nor; Nasution, Yuki Novia
EKSPONENSIAL Vol. 12 No. 2 (2021)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1059.709 KB) | DOI: 10.30872/eksponensial.v12i2.812

Abstract

Probabilistic Neural Network (PNN) is a model in Artificial Neural Networks (ANN) that is used for classification. PNN depends on the smoothing parameter (α). PNN has the advantage of being able to value of problems that previously existed in the back propagation method of ANN. The PNN method in this study was applied to the nutritional status of toddlers. Assessment of the nutritional status of toddlers can be determined through measurements of the human body known as anthropometry. Parameters for determining nutritional status based on anthropometry are age, weight and height. Therefore, in this study, a classification of the nutritional status of children under five is carried out to determine whether the toddler is experiencing good nutrition or poor nutrition. It was found that PNN with the best classification accuracy rate on the nutritional status of toddlers, namely the proportion of training data and testing data of 50%: 50% with α = 1, with accuracy results between training data and training data of 85% and accuracy results between data testing of the training data by 70%.
THE EFFECT OF EMOTIONAL INTELLIGENCE ON STUDENTS’ ACADEMIC ACHIEVEMENT (Study on Accounting Students of Brawijaya University) Lestari, Putri Ayu Dwi
Jurnal Ilmiah Mahasiswa FEB Vol. 4 No. 1
Publisher : Fakultas Ekonomi dan Bisnis Universitas Brawijaya

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Abstract

The purpose of this study  is  to determine whether the components of emotional intelligence which consists of five categories,  such as: (1). Self-Awareness, (2). Self-Regulation, (3). Motivation, (4). Empathy, and (5). Social Skills that are  effect on students' academic achievement on  accounting, Brawijaya University. This study uses primary data and secondary data. The primary data was used to measure emotional intelligence of accounting students using a questionnaire.  Meanwhile, secondary data were obtained from the accounting department to get information about the total of active students majoring in accounting. This research is categorized as Causal Study because  this  study illustrates  the cause of one or more problems. In other words, researcher is trying to link between variables. Using multiple regression analysis, the results obtained simultaneously showed that emotional intelligence does  not significantly influence  academic achievement. Partial test showed, that only empathy variable significantly affects academic achievement of accounting students.Keywords: Emotional Intelligence, Accounting Student Academic Achievement
Co-Authors Memi Nor Hayati Yuki Novia Nasution, Yuki Novia