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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.
Robust Quality Control Implementation for Nickel Pig Iron Using Median Absolute Deviation Estimators Aditya Rahadian Fachrur; Chyntia Devi Octaviany; Wiwien Suzanti; Midia Rahma; Mariana Feronica Damanik; Ferdian Bangkit Wijaya
Theta: Journal of Statistics Vol 1, No 1 (2025): Available Online in March 2025
Publisher : Faculty of Engineering, Univesitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/tjs.v1i1.31481

Abstract

Nickel Pig Iron (NPI) is one of the main products of Indonesia's nickel-based industry, which is still expanding. Reducing production costs and guaranteeing product quality depends on maintaining a constant nickel content. The Median Absolute Deviation (MAD) estimator, which is resistant to outliers and non-normal distributions, is used in this study's control charts and process capability analysis. After 15 days of production, data was gathered and examined using capability indices and control charts based on MAD. According to the results, the process mean is not statistically in control since many points exceed the control borders, even while process variation stays within the control limits. Acceptable process precision was indicated by the process capability index CpMAD being above 1. However, the CpkMAD value below 1 suggests that the mean process output does not consistently meet the target specifications. These findings highlight the need for further investigation and process improvement to enhance quality consistency in NPI production.
Implementasi Six Sigma untuk Meningkatkan Kualitas Produk Sandal Hotel Aditya Rahadian Fachrur; Anis Nur Kholidah; Shofwata Ichsan Triwijonarko; Nurul Ummi
Journal of Systems Engineering and Management Vol 5, No 1 (2026)
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/joseam.v5i1.40661

Abstract

Penelitian ini bertujuan untuk menganalisis kondisi kualitas produk sandal hotel serta memberikan usulan perbaikan guna menurunkan tingkat kecacatan produk. Metode yang digunakan adalah six sigma dengan pendekatan kerangka Define, Measure, Analyze, dan Improve. Alat pengedalian kualitas yang digunakan adalah diagram SIPOC, peta kendali p, diagram Pareto, five why's, dan prinsip poka yoke. Hasil analisis menunjukkan bahwa proses produksi berada dalam kondisi terkendali secara statistik, namun hanya memiliki tingkat sigma sebesar 3,13 dengan nilai DPMO 51.170 yang menunjukkan kualitas proses masih belum optimal. Berdasarkan analisis pareto, bahan overheat merupakan jenis ketidaksesuaian dominan dengan persentase 28,1%. Analisis penyebab menggunakan metode 5 Why’s menunjukkan bahwa cacat tersebut disebabkan oleh ketidakteraturan waktu dan suhu pada proses pengovenan. Usulan perbaikan dilakukan dengan menerapkan prinsip poka yoke berupa pemasangan indikator suhu dan timer alarm pada oven. Penerapan usulan perbaikan ini diharapkan mampu mengurangi jenis ketidaksesuaian overheat, meningkatkan stabilitas proses, serta memperbaiki kinerja kualitas produksi sandal hotel.
Identifikasi dan Analisa Potensi Bahaya Pada Area Kerja QC HSM Menggunakan Metode HIRA (Hazard Identification And Risk Assessment) di Perusahaan Produksi Besi dan Baja X Ade Sri Mariawati; Lisan Auliya Rizkandini; Nustin Merdiana Dewantari; Yayan Harry Yadi; Aditya Rahadian Fachrur
Journal of Systems Engineering and Management Vol 5, No 1 (2026)
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/joseam.v5i1.40393

Abstract

Perusahaan produksi besi dan baja X merupakan perusahaan manufaktur yang bergerak di bidang produksi besi dan baja dengan berbagai hasil produk, seperti hot strip coil, cold rolled coil, wire rod, billet, dan slab. Dalam proses produksinya, pengendalian kualitas menjadi aspek penting untuk memastikan produk yang dihasilkan memiliki mutu yang baik dan mampu bersaing di pasar industri. Oleh karena itu, divisi Quality Control (QC) memiliki peran penting dalam melakukan pengawasan dan monitoring kualitas produk selama proses produksi berlangsung. Berdasarkan data potensi bahaya perusahaan, aktivitas pada bagian QC Hot Strip Mill (HSM) masih memiliki berbagai potensi bahaya yang berisiko menimbulkan kecelakaan kerja bagi pekerja. Penelitian ini bertujuan untuk mengidentifikasi dan menganalisis potensi bahaya pada area QC HSM menggunakan metode Hazard Identification and Risk Assessment (HIRA). Hasil penelitian menunjukkan bahwa terdapat 39 potensi bahaya yang teridentifikasi pada 8 area kerja utama. Area inspeksi Shearing Line 2 dan inspeksi Skin Pass Mill merupakan area dengan jumlah potensi bahaya terbanyak. Sementara itu, potensi bahaya dengan tingkat risiko tertinggi adalah kebisingan yang termasuk dalam kategori extreme risk. Upaya pengendalian yang direkomendasikan untuk mengurangi dampak kebisingan adalah penggunaan alat pelindung diri berupa ear plug. Hasil penelitian ini diharapkan dapat menjadi dasar dalam meningkatkan sistem keselamatan dan kesehatan kerja pada area QC HSM.