Billi Syufrian
Industrial Engineering Study Program, Faculty Of Technology, University Prof Dr Hafiz MPH, Indonesia

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Analisis Pengaruh Coffee Shop terhadap Kepuasan Pelanggan dengan Menggunakan Metode Structural Equation Model Syufrian, Billi; Ningsih, Kartika Ayu; S, Dwi Elsi Flora; Putri, Anindita Rahmalia
Integrasi : Jurnal Ilmiah Teknik Industri Vol 7, No 1 (2022): Integrasi : Jurnal Ilmiah Teknik Industri
Publisher : Universitas Muhammadiyah Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32502/js.v7i1.4174

Abstract

Beberapa tahun terakhir pelaku usaha harus lebih ekstra untuk memaksimalkan usahanya di karenakan banyaknya pesaing dibidang yang sama, salah satunya adalah para pelaku usaha coffee shop. Pemasaran dan kolaborasi perlu dilakukan untuk meningkatkan pendapatan. Kepuasan konsumen menjadi fokus utama untuk meningkatkan kepuasan pelanggan. Penelitian ini bertujuan untuk meningkatkan kepuasan pelanggan dengan menghubungkan variabel-variabel yang berpengaruh pada kualitas produk, harga, kualitas pelayanan terhadap kepuasan konsumen pada Coffee Shop. Metode yang digunakan yaitu metode Structural Equation Model. Tahap yang dilakukan dalam pengolahan data adalah pertama membentuk hubungan antar variabel dan indikator, kedua confimatory analysis untuk variabel eksogen dan endogen dan terakhir uji estimasi mode lengkap. Berdasarkan hasil dan pembahasan pada penelitian ini adalah uji kecocokan model yang dilakukan menggunakan beberapa kriteria seperti ChiSquare, GFI, AGFI dan RMSEA. Nilai ChiSquare (34,518), nilai GFI dan AGFI diatas 0,9 dan RMSEA dibawah 0,08. Tidak Semua variabel antecedents memiliki pengaruh yang signifikan dan variabel antecedentst tidak bisa menjelaskan variabel konsequents karena nilai R2 ? 0,5. Kesimpulan dari hipotesa penelitian ini merupakan produck_Quality berpengaruh terhadap Custome_ Satisfaction, Price berpengaruh terhadap Customer_Satisfaction, Service_Quality tidak berpengaruh terhadap Customer_Satisfaction dan Price berpengaruh terhadap Product_Quality.
Evaluating Supply Chain Resilience Strategies in Passion Fruit Agro-Industrial Processing Using the SCOR 14.0 Racetrack Framework Asrul Fole; Khoerun Nisa Safitri; Nurul 'Aini; Billi Syufrian; Riska Iva Riana
Agroindustrial Technology Journal Vol. 10 No. 1 (2026): Agroindustrial Technology Journal [ATJ]
Publisher : Universitas Darussalam Gontor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21111/atj.v10i1.17

Abstract

Global agro-industrial supply chains face increasing risks of disruption due to climate variability, seasonal availability of raw materials, and weak coordination among stakeholders. The passion fruit processing industry in Makassar is a perishable agroindustry highly vulnerable to fluctuations in raw material supply, production interruptions, and delivery delays. This study aims to evaluate and improve supply chain resilience using the SCOR Digital Standard 14.0 Racetrack Framework, with an emphasis on the performance attributes of reliability, responsiveness, and agility. A quantitative descriptive case study approach was employed using direct observations, semi-structured interviews, and analysis of historical data on production, inventory, and distribution activities. Resilience performance was assessed using SCOR 14.0 Level 1–3 metrics and benchmarked against internal performance targets. Root causes of performance gaps were identified using Fishbone diagrams, while improvement initiatives were structured into project charters and prioritized through an impact–effort assessment. The results indicate substantial performance gaps before improvement. Reliability metrics Level 3 showed Customer Commit Date Achievement (RL3.3) at 80% and Orders Received Damage-Free (RL3.10) at 86%, both below targets. Responsiveness indicators, including Source Order Cycle Time (RS3.1) and Make Order Cycle Time (RS3.12), achieved only 75% and 78%, respectively. Agility exhibited the largest deficiencies, particularly in Upside Source Flexibility (AG3.2) and Upside Make Flexibility (AG3.9). Following the implementation of 18 prioritized improvement projects, all resilience metrics reached or closely approached target levels. These findings confirm that the SCOR 14.0 Racetrack Framework provides a systematic and effective approach for enhancing supply chain resilience in perishable agro-industries through structured operational and managerial interventions.