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Usulan Perbaikan Proses Bisnis Permintaan Cabut Layanan Pada Dbs Pt Xyz Dengan Metode Business Process Improvement Ni Putu Ayu Laksmi Purwati; Wiyono Sutari; Heriyono Lalu
eProceedings of Engineering Vol 8, No 5 (2021): Oktober 2021
Publisher : eProceedings of Engineering

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Abstract

PT XYZ merupakan perusahaan penyedia jasa dan jaringan telekomunikasi terbesar di Indonesia, perusahaan ini hadir di setiap daerah di Indonesia termasuk Bali. Salah satu divisi yang melayani permintaan cabut layanan dalam segmen small medium enterprise adalah divisi business service atau yang biasa disebut DBS. Dalam data selama bulan Januari hingga bulan Desember tahun 2021 ditemukan bahwa terdapat sebanyak 66,7% permintaan cabut layanan yang belum selesai sesuai dengan waktu standar yang ditetapkan DBS yaitu selama 1x24 jam. Berdasarkan hal ini perusahaan mengalami opportunity lost sebesar Rp385.875.000 hingga maksimal Rp 3.252.375.000. Untuk meminimasi opportunity lost perusahaan maka dalam penelitian ini dilakukan identifikasi penyebab proses permintaan cabut layanan belum selesai sesuai dengan waktu standar yang ditetapkan serta perbaikan proses bisnis untuk proses permintaan cabut layanan. Metode Business Process Improvement merupakan salah satu metode yang mampu meminimasi keterlambatan. Metode ini digunakan untuk mengidentifikasi aktivitas-aktivitas yang terlibat dalam proses permintaan cabut layanan dengan teknik improvement technique wheel. Dari hasil identifikasi tersebut akan diperoleh requirement untuk perbaikan pada proses. Hasil dari penelitian ini yaitu berupa sistem informasi monitoring serta pedoman kerja untuk proses permintaan cabut layanan. Kata kunci : Proses Bisnis, Business Process Improvement, Monitoring
Integrating Statistical Process Control and Capability Analysis to Diagnose Pedagogical Variation in an Engineering Statistics Course Ni Putu Ayu Laksmi Purwati; Susmitha Canny; Bagus Anugrah Ramadhan
Journal of Applied Sciences, Management and Engineering Technology Vol 7, No 2 (2026): On Going
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jasmet.2026.v7i2.9369

Abstract

Higher education engineering programs require graduates to possess strong statistical literacy for evidence-based decision-making. However, disparities in student achievement often obscure whether the pedagogical delivery is operating under stable conditions or if specific factors are introducing detrimental variation into the learning process. This study evaluates the stability and capability of the learning process within an Industrial Statistics course by applying a Quality Management System (QMS) framework to educational assessment data. The research analyzed the grades of 216 students across three evaluation instruments: quizzes, case studies, and examinations. Data was categorized according to Course Learning Outcomes (CLOs) to form consistent subgroups of n=3. Process stability was initially assessed using Statistical Process Control (SPC) with  -R control charts. Subsequently, a Process Capability Analysis (PCA) was conducted to determine whether the learning process could consistently yield outcomes meeting the defined minimum passing threshold (LSL = 50,01). The SPC analysis indicated that while the examination component achieved a state of statistical control, the quiz and case study assessments exhibited significant out-of-control variations. Furthermore, the PCA revealed systemic pedagogical deficiencies across all metrics. Both the potential (Cp) and actual (Cpk) capability indices for all evaluation instruments fell entirely below the acceptable industry threshold of 1,0. Critically, the case study component demonstrated a negative capability index (Cpk = -0.093), signifying that the mean class performance had shifted completely below the specification limit. Additionally, the examination component displayed extreme statistical variance ( = 32,794), highlighting a substantial disparity in cognitive comprehension among the cohort.