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All Journal Teknika: Jurnal Sains dan Teknologi Journal Industrial Servicess Jurnal Studi Manajemen dan Bisnis INAQUE: Journal of Industrial & Quality Engineering EKONOMI, KEUANGAN, INVESTASI DAN SYARIAH (EKUITAS) JELAJAH: Journal of Tourism and Hospitality Journal of Systems Engineering and Management
Aditya Rahadian Fachrur
Universitas Sultan Ageng Tirtayasa
Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Transportation

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ANALISIS SIX SIGMA UNTUK MENINGKATKAN KUALITAS PRODUK INDUSTRI KABEL Fachrur, Aditya Rahadian; Ummi, Nurul; Ikrima, Qonitati
Inaque : Journal of Industrial and Quality Engineering Vol 12 No 2 (2024): Inaque Oktober 2024
Publisher : Teknik Industri Unikom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/iqe.v12i2.15543

Abstract

Product quality plays an important role in the cable industry to meet standards and improve customer satisfaction, but product nonconformity is still an obstacle that affects production efficiency and costs. This study applies the Six sigma method with the DMAIC approach to the Improve stage to identify the causes of nonconformity and provide recommendations for improvement. The results of the study show four categories of Critical to Quality (CTQ) in cable products, with visual nonconformity as the most dominant at 423.167 km. The U control chart analysis shows that the variation of nonconformity per unit is still outside the statistical control limits, indicating that the production process is not yet stable, with a sigma level of 3.982, indicating significant opportunities for improvement. Based on the Pareto analysis, visual nonconformity is the main priority with the main causes coming from man, machine, method, material, and environmental factors. Recommendations for improvement include increased supervision, periodic machine maintenance, and operator training. Implementation of continuous improvement is expected to reduce nonconformity and improve the quality and efficiency of cable production.
Perbandingan Risiko Gagal Bayar Perusahaan Penerbit Surat Utang Berperingkat Layak Investasi Berdasarkan Sektor Usaha Ikhsan, Aulia; Rahadian Fachrur, Aditya; C Permana, Fikri; Nurulhaq Putri, Ayu; Mahendra, Zahra; Panji Wicaksono, Chaesa; Septian, Heggy
Ekonomi, Keuangan, Investasi dan Syariah (EKUITAS) Vol 7 No 2 (2025): November 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/ekuitas.v7i2.8410

Abstract

Ratings for debt-issuing companies (issuers) are conducted to provide information on credit quality to investors and prevent default risk, which is the main risk in investing in corporate debt securities. Issuers are generally classified into financial services and non-financial services sectors due to the different risk characteristics between these two sectors. If a company from each sector has the same rating, then the credit quality of both companies will be considered the same. However, research by PEFINDO, S&P, and Fitch shows that the non-financial services sector has a relatively greater potential default risk than the financial services sector. Based on this, this study aims to examine the risk comparison between these two sectors in the investment-grade rating group based on rating transitions and test the assumption that the non-financial services sector has a relatively greater default risk than the financial services sector. The data used in this study are sample data on issuer rating transitions in Indonesia during the period 2007 - 2024 from both sectors. The data analysis technique uses Markov Chains to create a rating transition matrix for both sectors, as well as a comparison test of two proportions using the Z test used to compare the two matrices. A comparison of the transition matrix indicates that the non-financial services sector has a greater probability of default than the financial services sector, with ratings A (0.0078 vs. 0.0045) and BBB (0.0429 vs. 0.0143). Hypothesis testing results indicate that, at the 5% significance level, the non-financial services sector has a greater proportion of rating downgrades than the financial services sector, meaning the risk of default is greater than that of the financial services sector.
Co-Authors Achmad Bahauddin Akbari, Rizky Angin, Nurul Fadillah Boru Annisa, Findi Choerun Aulia Ikhsan Barleany, Dhena Ria Boru Angin, Nurul Fadillah C Permana, Fikri Dewantari, Nustin Merdiana Dewantari, Nustin Merdiana Ekawati, Ratna Ferdiansyah, Muhammad Gunawan, Akbar Herlina, Lely Ikrima, Qonitati Khatili, Putiri Buana Laura Novel Hutagaol Lufianawati, Dina Estining Tyas Mahendra, Zahra Mariawati, Ade Sri Muharni, Yusraini Musthofa, Faris Mutaqin, Ade Irman Saeful Nurul Ummi Nurulhaq Putri, Ayu Panji Wicaksono, Chaesa Putu Dana Karningsih Ramadhan, Tubagus Raihan Ratna Ekawati Rendiansyah Rendiansyah Ridwan, Asep Septian, Heggy Sonda, Atia Sonda, Atia Sukamto, Aurora Elvaretta Trenggonowati, Dyah Lintang Ulfah, Maria Ulfah, Maria Ulfah, Maria Ummi, Nurul Umyati, Ani Wahyuni, Nuraida Watsiqoh, Siti Wibowo, Habibi Urfa Yadi, Yayan Harry