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Pakpahan, Rosma
Jurusan Akuntansi, Politeknik Negeri Bandung
Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Other

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Journal : Journal Integration of Management Studies

 1 
Credit Scoring Modelling For Corporate Banking Institutions Purbayati, Radia; Muflih, Muhammad; Pakpahan, Rosma
Journal Integration of Management Studies Vol. 2 No. 1 (2024)
Publisher : Integrasi Sains Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58229/jims.v2i1.125

Abstract

This research aims to build a credit scoring modeling simulation of bank corporate loans. The credit scoring model is used in assessing creditworthiness in credit decisions. This model determines whether or not a company is eligible for the corporate credit facility it proposes. Observations were made of 100 companies included in the list of Kompas100 Index formers on the Indonesia Stock Exchange (IDX) that have the potential to apply for loans/credits to Bank Financial Institutions (IKB) in optimizing the corporate capital structure through bank debt facilities in the period 2022. Analysis was conducted on five financial aspects consisting of 14 research variables, including (i) liquidity aspects, including current ratio and quick ratio variables; (ii) solvency aspects, including debt asset ratio and equity ratio variables; (iii) profitability aspects including return on net assets, operating profit ratio, price to earnings ratio variables, (iv) activity aspects including total asset turnover, accounts receivable turnover, inventory turnover, current assets turnover, and (v) growth aspects including operating income growth rate, total assets growth rate, and operating profit growth rate variables. The analysis tool uses Logistic Regression through an assessment conducted on the company's credit rating as a proxy for the dependent variable, worth one if the credit application is feasible and worth 0 if the credit application is not feasible with a cut-off point of 0.5. The results show that credit scoring modeling for corporate credit is significantly formed from liquidity (CR) and solvency (DER) aspects. Out of 61 companies classified as not eligible for credit facilities, 58 companies were classified correctly, and out of 39 companies classified as eligible, 29 companies were classified correctly. The overall percentage shows 68.0, meaning that the logistic regression model has an accuracy of 68%.
Co-Authors Ai Diana Aini, Nurfina Annisa Nur Rahmah Banter Laksana, Banter Carolina Magdalena Lasambouw Dadang Hermawan Dadang Hermawan Dadang Hermawan Dadang Hermawan Delia Putri Anjani Destian Arshad Darulmalshah Tamara Djoni Djatnika Djuwarsa, Tjetjep Ega Virgiani Endang Hatma Juniwati Fasha Asyva Fauziah, Ulfah Nurul Fransiska, Alda Tri Hadiani, Fatmi Hani Nuraeni Hasbi Assidiki Mauluddi Hatma Juniwati, Endang Hazma, Hazma Henna Ardhefani Ilmani Ganis Adzillah Iwan Mulyawan Iwan Setiawan Juniwati, Endang Hatma Juniwati, Endang Hatma Katharina Priyatiningsih Kristianingsih Kristianingsih Kristianingsih, Kristianingsih KURNIASETIAWATI, ANNISA Leni Nur Pratiwi Lia Zulfa Laila Lina Setiawati Lina Setiawati M. Rayhan Azis Magdalena, Carolina Maulana Harun Ar-rosyyid Mayasari, Ine Mochamad Umar Mai Muhammad Muflih Nafisha Oktaviani Lutfi Nono Wibisono Novia Dwi Astari Nugraha, Hanafi Nurfitria Nurfitria Nuryati, Neneng Oktaviani Rarassati Pebrianti, Gita Nuralipah Purbayati, Radia Purbayati, Radia Radia Purbayati Rahmatulloh, Cikal Muzammil Rarassati, Oktaviani Rasyid Hardayansyah Reivaldo Reivaldo Riauli Susilawaty Hutapea Rismayanti, Siti Rivanda, Agil Krisna Ruhadi Ruhadi Ruhana, Nafisah Sabila Nur Al-fadzar Salsa Bila Azahra Sa’bana, Rifqi Fauzan Sekar Wulan Wiwitanti Setiawan Setiawan Setiawan Setiawan Setiawan Setiawan Silvira Agustina Siti Aisah Sulistia Suwondo Susana, Lina Marlina Tamara, Destian Arshad Darulmalshah Tjetjep Djuwarsa Tri Yuniarti Triastuty Wulandari Tripuspitorini, Fifi Afiyanti Ulfah Nurul Fauziah Utami, Adinda Putri Wulandari Wibisono, Nono Yeni Siti Halimatus Sadi’yah