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All Journal Journal Industrial Servicess Journal of Systems Engineering and Management
Aditya Rahadian Fachrur
Universitas Sultan Ageng Tirtayasa
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering Mechanical Engineering Transportation

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Journal : Journal of Systems Engineering and Management

 1 
Perbandingan kinerja peta kendali np klasik dan np bayes produk roti di UMKM BenRoti Snack Box Faris Musthofa; Siti Watsiqoh; Nurul Fadillah Boru Angin; Aurora Elvaretta Sukamto; Aditya Rahadian Fachrur
Journal of Systems Engineering and Management Vol 2, No 1 (2023)
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/joseam.v2i1.19323

Abstract

Penelitian ini bertujuan untuk membandingkan tiga jenis peta kendali np, yaitu peta kendali np klasik, peta kendali np bayes prior konjugat, dan peta kendali np bayes prior non-informatif dalam mengendalikan kualitas produk di UMKM BenRoti SnackBox. Saat ini, UMKM BenRoti SnackBox belum menggunakan alat pengendalian kualitas untuk produk-produknya. Oleh karena itu, penelitian ini dilakukan untuk membandingkan efektivitas ketiga jenis peta kendali np dalam membantu UMKM BenRoti SnackBox dalam mengendalikan kualitas produknya. Perbandingan dilakukan dengan menggunakan nilai ARL (Average Run Length) sebagai ukuran kinerja dari ketiga jenis peta kendali np. ARL adalah rata-rata jumlah sampel yang diperlukan sebelum munculnya suatu sinyal atau peringatan bahwa kualitas produk telah menyimpang dari spesifikasi yang ditetapkan. Hasil dari penelitian ini menunjukkan bahwa peta kendali np bayes prior non-informatif memberikan hasil yang lebih baik dalam mengendalikan kualitas produk dibandingkan dengan peta kendali np klasik dan peta kendali np bayes prior konjugat. Peta kendali np bayes prior non-informatif memberikan nilai ARL yang relatif lebih kecil daripada peta kendali np klasik dan peta kendali np bayes prior konjugat, yang berarti waktu yang dibutuhkan untuk mendeteksi perubahan kualitas produk menjadi lebih singkat. Namun, tidak terdapat perbedaan yang signifikan antara peta kendali np klasik dan peta kendali np bayes prior konjugat. Sehingga, dapat disimpulkan bahwa penggunaan peta kendali np bayes prior non-informatif dapat membantu UMKM BenRoti SnackBox dalam mengendalikan kualitas produknya lebih efektif daripada peta kendali np klasik dan peta kendali np bayes prior konjugat.
Analisis sistem antrian model G/G/1 pada fasilitas layanan kesehatan Aditya Rahadian Fachrur; Laura Novel Hutagaol; Rendiansyah Rendiansyah
Journal of Systems Engineering and Management Vol 1, No 1 (2022)
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/joseam.v1i1.17547

Abstract

Health care is one of the services that must maintain excellent service quality, particularly in terms of patient wait times, including for XYZ health care facilities. XYZ health care services include administration or registration, health check-ups, and drug collection. Queues of patients are frequently encountered during the outpatient service process at XYZ health facilities. These queues often occur when patients perform registration administration, allegedly because there is only one registration counter. This problem will certainly affect patient satisfaction because service waiting time is a health facility customer satisfaction indicator. This study aims to analyze the queuing system for administrative services and health checks using the queuing theory method to obtain a queuing model and queuing performance. The results of this study indicate that the XYZ health facility queuing model is G/G/1/FIFO/I/I with an arrival rate for each service stage of 13 and 11 patients per hour, respectively, with 11 and 13 patients. Steady-state conditions are not met in administrative services because the arrival rate is higher than the service level, so the performance of the queuing system can be analyzed only on health check services, with the result that the probability of service facilities experiencing idle is 0.12. The average number of patients in the queue is one patient per hour, and the average number of patients in the system is four people per hour, while the waiting time for health check services is 37.0820 minutes per patient. The average length of time is 37.0820 minutes per patient. Patients are in the health care system for 41.9714 minutes per patient.
Co-Authors Aurora Elvaretta Sukamto Faris Musthofa Findi Choerun Annisa Laura Novel Hutagaol Muhammad Ferdiansyah Nurul Fadillah Boru Angin Nustin Merdiana Dewantari Rendiansyah Rendiansyah Rizky Akbari Siti Watsiqoh