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All Journal CAUCHY: Jurnal Matematika Murni dan Aplikasi Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan
Baskoro, Sentot Eko
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Economics, Econometrics & Finance Mathematics

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Pengujian akurasi model regresi logistik multinomial untuk memprediksi keberhasilan mahasiswa di perguruan tinggi menggunakan r Baskoro, Sentot Eko; Suhartono, Suhartono; Chamidy, Totok; Zaman, Syahiduz
Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan Vol. 5 No. 3 (2022): Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan
Publisher : Departement Of Accounting, Indonesian Cooperative Institute, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32670/fairvalue.v5i3.2472

Abstract

Higher education institute should have maintained its student’s success in their academic field. Therefore, higher education institute should make a model to predict its success as early as possible. To have such model, the impacting factors should be determined, which factor are in the forms of continuous dan categorized data. This research is aimed to build logistic regression model based on compounded data from continuous and categorized data, which then test the model accuracy to predict the student’s success in such institute. Research data is using 68 student’s data. There are 6 research steps, first, data preparation and collection, second, data analysis, third, building the logistic multinomial regression model, fourth, data testing and validation, fifth, measure the model accuracy, and the sixth step is drawing the conclusion based on the analysis output. The result of prediction analysis dan accuracy test using logistic multinomial regression is the best model with significant factors that influence the study time are gender, department and selection track, while prediction accuracy model for each study time response variable is 96.4%.
Mathematical Modeling of the Decoy Effect to Shift Consumer Preferences in House-Type Purchases Baskoro, Sentot Eko; Sutapa, I Nyoman; Suhartono, Suhartono
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 10, No 2 (2025): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v10i2.36937

Abstract

This study discusses the design of a Mechanism Design-based Decoy Effect Mathematical Model to shift consumer preferences from small-type houses to large-type houses. The model uses area-per-price utility that combines the ratio of building area and land area to price, and formulates the optimization of decoy attributes so that large-type houses dominate but remain close as comparators. The model is explained with a case study, namely large houses are set at a price of  IDR, land area of  m², and building area of  m²; small houses are priced at  million IDR, building area of  m², and land area of  m²; then two types of decoy house prices are set, namely  million and  million IDR. With the ratio of building and land area to price, namely  and  as well as  and , large-type houses excel in terms of building-per-price and are equivalent in terms of land-per-price. Asymmetric decoy houses can be constructed by selecting  and . The results of the mathematical model calculations obtained the closed solutions 'adjacent' and 'strong' for the two types of prices. Sensitivity analysis shows that the target margin advantage increases linearly with  and the context scale , above the base margin . This model provides an operational and easily auditable mechanism in practice.
Co-Authors AA Sudharmawan, AA I Nyoman Sutapa Suhartono Syahiduz Zaman Totok Chamidy