Logistics Regression Modelling on Student Career Path Choices at the Statistics Department, FMIPA UNM Makassar

Tiro, Muhammad Arif; Poerwanto, Bobby; Fahmuddin, Muhammad

doi:10.1088/1742-6596/2123/1/012002

Cited by 3 publications

(2 citation statements)

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“…For supervised learning, one type is classification. There are several methods commonly used in classifying, such as logistic regression logistik (Bustan and Poerwanto, 2021;Tiro et al, 2021), support vector machines (Xu et al, 2020), and neural networks (Pawara et al, 2020). In terms of accuracy, the NN method is superior when the data has large dimensions (Poerwanto and Fajriani, 2020).…”

Section: A Introductionmentioning

confidence: 99%

K-Means – Resilient Backpropagation Neural Network in Predicting Poverty Levels

Poerwanto

2023

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In solving economic problems, the government has implemented several development policies. However, this policy is considered to be too centered on big cities. So, through this research it is hoped that it can provide an overview related to regional groups that fall into the poorer category so that the government can also provide accelerated development policies that are oriented towards improving the economy of residents in the area. This study aims to determine the results of classifying district/city poverty levels in Indonesia as a basis for classification for predictions and to classify district/city poverty levels based on influencing factors. The method used in this study is K-Means Clustering using the poverty depth index and poverty severity index variables, then proceed with using the Backpropagation Neural Network (BNN) algorithm using the GRDP, per capita expenditure, human development index, and mean years of schooling. The results obtained using the K-Means algorithm are that there are 42 districts/cities that belong to cluster 1 where this region has a poverty index depth and severity index value that is higher than the 472 districts/cities in cluster 2. Furthermore, the cluster results are used as response variables for classification with BNN. The accuracy of the model obtained is very high, which is equal to 98.06, so the model is very feasible to be used as a poverty rate prediction model based on the variables used.

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Section: A Introductionmentioning

confidence: 99%

K-Means – Resilient Backpropagation Neural Network in Predicting Poverty Levels

Poerwanto

2023

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“…Terdapat beberapa style penulisan sitasi yang dapat digunakan sesuai kebutuhan dari penerbit. Jadi bidang ilmu apapun harus mengacu pada aturan sitasi yang dikeluarkan oleh tempat penerbit tersebut, seperti style penulisan style American Psychological Association (APA) yang cenderung pada artikel-artikel sosial humaniora (Aswi et al, 2022;Poerwanto & Ali, 2018;Poerwanto & Ismail, 2022), atau style IEEE yang cenderung ke tulisan Science, Technology, Engineering and Math (STEM) (Annas, Poerwanto, Aswi, et al, 2022;Annas, Poerwanto, Sapriani, et al, 2022;Bustan & Poerwanto, 2021;Poerwanto & Ali, 2019;Poerwanto & Fajriani, 2020;Tiro et al, 2021) Di Indonesia, salah satu tolak ukur kinerja dosen adalah dilihat dari publikasinya.…”

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Pelatihan Penulisan Artikel Ilmiah dan Manajemen Referensi bagi Dosen Institut Ilmu Kesehatan Pelamonia

Poewanto,

Aswi,

Fahmuddin

et al. 2023

ADMA

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In Indonesia, one of the benchmarks for lecturer performance can be noticed from their publications. Therefore, it is important for lecturers to continue improving their knowledge and skills in writing a scientific article such as reference management skills. Prior to the service activities, an analysis of problems related to writing a scientific article was carried out. The service activity began with a pre-test to measure the extent of the participants' understanding in writing a scientific article and reference management. Furthermore, two trainings namely scientific article writing training and reference management training were presented by the speakers. After the training, a discussion session was held between the participants and team. The activity ends with a post-test to measure the extent to which the participants' knowledge and skills have increased in scientific article writing and reference management. Reflection on the implementation of this program is carried out by team leader and team to review all the benefits and weakness of this program and its implementation. Partners in this service are Lecturers of Institut Ilmu Kesehatan Pelamonia with 46 participants. The results achieved in this service are: before the presentation of the material, 75% of the participants still lacked in understanding regarding the writing a scientific article in Reputable International Journals. After the presentation of the material, 93.5% of the participants had understood the writing a scientific article in Reputable International Journals.

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