Saran - KESIMPULAN DAN SARAN - Analisis Pengaruh Praktek Manajemen Kualitas Rantai Pasokan Terh

BAB V KESIMPULAN DAN SARAN

5.4 Saran

Berdasarkan hasil analisis data, pembahasan dan kesimpulan, maka saran yang dapat penulis berikan sebagai berikut:

1. Dari hasil kuisioner yang di dapat dari responden, diperlukan sebuah implementasi Proses Rantai Pasokan yang baik dalam kegiatan operasional organisasi khususnya di perusahaan dalam rangka meningkatkan Kinerja Kualitas. Kaitanya pada penelitian ini para pelaku bisnis perlu mendapatkan pemahamamn yang lebih mendalam mengenai proses kinerja pada rantai pasokan. Hal ini didasarkan pada variable yang ada dalam penelitian ini, selain itu dalam proses menjalankan supply chain management hendaknya terus dimaksimalkan guna meningkatkan kinerja kualitas dalam perusahaan dengan harapan dapat meningkatkan kinerja organisasi menjadi lebih efektif dan efisien.

2. Bagi peneliti selanjutnya diharapkan dapat memperbanyak sumber-sumber dari literatur atau jurnal dari penelitian terdahulu.

3. Penelitian selanjutnya diharapkan dapat melakukan pada ruang lingkup yang lebih luas dengam menambahkan variabel-variabel lain yang dapat menjadi faktor dalam mempengaruhi perubahan kinerja organisasi.

73 4. Penelitian selanjutnya juga diharapkan dapat menambahkan teknik wawancara langsung pada responden, dengan demikian dapat mengetahui kondisi yang sebenarnya dan dapat menghasilkan penelitian yang lebih baik.

74 DAFTAR PUSTAKA

Adam Jr, E., Corbett, L., Flores, B., Harrison, N. Ribera, J., Samson, D. and Westbrook, R. (1997), “An International Study of Quality Improvement Approach and Firm Performance”, International Journal of Operations & Production Management, Vol.17 No.9, pp.842–873.

Afandi, P. (2018). Manajemen Sumber Daya Manusia (Teori, Konsep dan Indikator).

Riau: Zanafa Publishing.

Ahire, S. and O’Shaughnessy. K.C. (1998), “The Role of Top Management Commitment in Quality Management: An Empirical Analysis of the Auto Parts Industry”, International Journal of Quality Science, Vol.3 No.1, pp.5–

37.

Ahmad Fauzi. 2011. Skripsi. Surakarta : UMS

75 Andanu, O., Udin, F., Sunarti, T.C., (2021) Strategi Peningkatan Kualitas Produk Dalam Rantai Pasok Komoditi Pisang Di Provinsi Bengkulu, Jurnal Teknologi Industri Pertanian 31 (2): 220 – 231.

Aprilianti, E., Santosa, W., (2022) Pengaruh Praktik Manajemen Kualitas Rantai Pasokan terhadap Kinerja Kualitas pada Perusahaan Manufaktur, JEMSI 4(1):

48 - 58.

Ariff, M. S. M., Yun, L. O., Zakuan, N., & Ismail, K. (2013). The Impacts of Service Quality and Customer Satisfaction on Customer Loyalty in Internet Banking.

Procedia - Social and Behavioral Sciences, 81, 469–473.

https://doi.org/10.1016/j.sbspro.2013.06.462

Azuar Juliandi, Irfan and Saprinal Manurung (2014). Research Methodology, Complete, Practical and Easy to Understand. First Print, Publisher UMSU Press, Medan.

Baird, K., Hu, K. and Reeve, R. (2011), “The Relationships between Organizational Culture, Total Quality Management Practices and Operational Performance”, International Journal of Operations & Production Management, Vol.31 No.7, pp.789–814.

Baird, K., Hu, K. and Reeve, R. (2011), “The Relationships between Organizational Culture, Total Quality Management Practices and Operational Performance”,

76 International Journal of Operations & Production Management, Vol.31 No.7, pp.789–814.

Burgess, Patrick & Sunmola, Funlade & Wertheim-Heck, Sigrid. (2022). Blockchain Enabled Quality Management in Short Food Supply Chains. Procedia Computer Science. 200. 904-913. 10.1016/j.procs.2022.01.288.

Chen, I, and Paulraj, A. (2004), “Towards a Theory of Supply Chain Management: The Constructs and Measurements”, Journal of Operations Management, Vol.22 No.2, pp.119–150.

Chin, T.A., Hamid, A.B.A., Rasli, A., Baharun, R., (2012), Adoption of supply change management in SMEs., Procedia – Social and Behavioral Sciences 65 (2012):

614 – 619.

Deming, W. E. (1986), Out of the Crisis, Cambridge: Massachusetts Institute of Technology Center for Advanced Engineering Study.

Dewi, I.H.P., Sutiadiningsih, A., (2013) Hubungan Antara Tingkat Kinerja Karyawan dengan Kualitas Produk Makanan Buffet di Hotel Purnama Batu, Ejournal Boga 2(1): 226 - 233.

77 Dubey, R., & Singh, T. (2015). Understanding complex relationship among

JIT, lean behaviour, TQM and their antecedents using interpretive structural modelling and fuzzy MICMAC analysis. TQM Journal, 27(1), 42–62.

https://doi.org/10.1108/TQM-09-2013-0108

Flynn, B., Huo, B. and Zhao, X. (2010) “The Impact of Supply Chain Integration on Performance: A Contingency and Configuration Approach”, Journal of Operations Management, Vol.28 No.1, pp.58–71.

Flynn, B., Schroeder, R. and Sakakibara, S. (1994), “A Framework for Quality Management Research and an Associated Measurement Instrument”, Journal of Operations Management, Vol.11 No.4, pp.339–366.

Forker, L., Mendez, D. and Hershauer, J. (1997), “Total Quality Management in the Supply Chain: What Is Its Impact on Performance?” International Journal of Production Research, Vol.35 No.6, pp.1681–1702.

78 Foster, T. (2008), “Towards an Understanding of Supply Chain Quality

Management”, Journal of Operations Management, Vol.26 No.4, pp.461–467.

Ghozali, 2014. Aplikasi analisis Multivariate dengan Program SPSS. Badan Penerbit UNDIP , Semarang.

Ghozali, I, (2011) Aplikasi Analisis Multivariate Dengan Program SPSS, Semarang, Badan Penerbit Universitas Diponegoro.

Ghozali, I, (2018) Aplikasi Analisis Multivariate dengan Program PLS 3.0, 9th edn, Semarang, Badan Penerbit Universitas Diponegoro.

Ghozali, I., & Latan, H. (2015). Partial Least Squares Konsep, Teknik, dan Aplikasi Menggunakan Program SmartPLS 3.0 (2nd ed.). Semarang: Badan Penerbit Universitas Diponegoro.

Hair et al. 2011. Multivariate Data Analysis, Seventh Edition. Pearson Prentice Hall

Hair F. J. et al., 2010. Multivariate Data Analysis Seventh Edition. New Jersey.

Pearson Educational, Inc.

Hair, Jr., J.F., Black, W.C., Babin, B.J., Anderson, R.E., and Tatham, R.L. (2006), Multivariate data analysis (6th ed.), Pearson-Prentice Hall, Upper Saddle River, NJ.

79 Hasibuan, Malayu S.P, 2011. Manajemen Sumber Daya Manusia. Jakarta: PT Bumi

Askara.

He Y, Xu Q, Xu B, Wu P. 2016. Supply chain coordination in quality improvement with reference effects. Journal Operational Research Society. 67(9):1158–

1168.

https://kumparan.com/pandangan-jogja/ada-3-000-kedai-kopi-di-seluruh-yogya- terpadat-di-

indonesia1ympBAlgDYG#:~:text=Sampai%20saat%20ini%2C%20data%20d ari%20Komunitas%20Kopi%20Nusantara%2C,Solo%20dengan%20jumlah%

20kedai%20kopi%20sebanyak%20400%20kedai.

Huo, B., Zhao, X. and Lai, F. (2014), “Supply Chain Quality Integration: Antecedents and Consequences”, IEEE Transactions on Engineering Management, Vol.61 No.1, pp.38–51.

Huo, B., Zhao, X. and Lai, F. (2014), “Supply Chain Quality Integration: Antecedents and Consequences”, IEEE Transactions on Engineering Management, Vol.61 No.1, pp.38–51

Huo, B., Zhao, X. and Lai, F. (2014), “Supply Chain Quality Integration: Antecedents and Consequences”, IEEE Transactions on Engineering Management, Vol.61 No.1, pp.38–51.

80 J. Zeng, C. Phan, Y. Matsui. 2013. Praktik dan kinerja manajemen kualitas rantai

pasokan: Sebuah studi empiris.Riset Manajemen Operasi.

https://doi.org/10.1007/S12063-012-0074-X

Kahnali, A, and Taghavi, A. (2010), “Relationship between Supply Chain Quality Management Practices and Their Effects on Organisational Performance”, Singapore Management Review, Vol.32 No.1, pp.45–68.

Kankam, George & Kyeremeh, Evans & Som, Gladys & Charnor, Isaac. (2023).

Information Quality and Supply Chain Performance: The Mediating Role of Information Sharing. Supply Chain Analytics. 2. 100005.

10.1016/j.sca.2023.100005.

Kaynak, H. (2003), “The Relationship between Total Quality Management Practices and Their Effects on Firm Performance”, Journal of Operations Management, Vol.21 No.4, pp.405–435.

Kaynak, H. and Hartley, J. (2008), “A Replication and Extension of Quality Management into the Supply Chain”, Journal of Operations Management, Vol.26 No.4, pp.468–489.

81 Kaynak, H. and Hartley, J. (2008), “A Replication and Extension of Quality

Management into the Supply Chain”, Journal of Operations Management, Vol.26 No.4, pp.468–489.

Kim, M., & Chai, S. (2016). Assessing the impact of business uncertainty on supply chain integration. The International Journal of Logistics Management, 27(2), 463–

485. https://doi.org/10.1108/IJLM-11–2014-0175

Kotler, P., Keller, K., (2009) Marketing Management, New Jersey: Prentice Hall PTR, pp. 143

Lai, K-H. (2003), “Market Orientation in Quality-Oriented Organizations and Its Impact on Their Performance”, International Journal of Production Economics, Vol.84 No.1, pp.17–34.

Lakhal L, Pasin F and Limam M (2006). Quality management practices and their impact on performance. Int J Qual Reliab Mngt 23: 625–646

Leuschner, R., & Rogers, D. S. (2013). A META-ANALYSIS OF SUPPLY CHAIN 9.4INTEGRATION AND FIRM PERFORMANCE.

https://doi.org/https://doi.org/10.1111/jscm.12013

Lin, C., Chow, W., Madu, C., Kuei, C. and Yu, P. (2005), “A Structural Equation Model of Supply Chain Quality Management and Organizational Performance”, International Journal of Production Economics, Vol.96 No.3, pp.355–365.

82 Lin, C., Chow, W., Madu, C., Kuei, C. and Yu, P. (2005), “A Structural Equation Model of Supply Chain Quality Management and Organizational Performance”, International Journal of Production Economics, Vol.96 No.3, pp.355–365.

Liu, Gang. 2018. The impact of supply chain relationship on food quality. Procedia Computer Science. 131:860–865

Liu, H., Ke, W., Wei, K.K., Hua, Z., 2013. The impact of IT capabilities on firm performance: the mediating roles of absorptive capacity and supply chain agility. Decission Support System Vol 54 No. 3, 2013 pp. 1452–1462.

Martono, Moh dan Sri Setyo Iriani. (2014). Analisis Pengaruh Kualitas Produk, Harga dan Promosi terhadap Minat Beli Konsumen Produk Batik Sendang Duwur Lamongan. Jurnal Ilmu Manajemen , Vol. 2, No. 2.

McShane, Steven L dan Glinow, Mary Ann Von. 2018. Organizational Behaviour:

Emerging Knowledge Global Reality. New York: McGrawHill Education.

Parmigiani, A., Klassen, R. D., & Russo, M. v. (2011). Efficiency meets accountability: Performance implications of supply chain configuration, control, and capabilities. Journal of Operations Management, 29(3), 212–

223. https://doi.org/10.1016/j.jom.2011.01.001

Powell, T. (1995), “Total Quality Management as Competitive Advantage: A Review and Empirical Study”, Strategic Management Journal, Vol.16 No.1, pp.15–37.

83 Powell, T. (1995), “Total Quality Management as Competitive Advantage: A Review and Empirical Study”, Strategic Management Journal, Vol.16 No.1, pp.15–37.

Prabowo, H., & Jaya, T. E. (2015). Pengaruh Sistem Informasi Akuntansi Manajeman, Strategi dan Inovasi terhadap Kinerja Operasional Perusahaan Manufaktur dalam Memasuki Era Perdagangan Bebas. Jurnal Ilmiah Wahana Akuntansi Volume 10, No.2, Tahun 2015 175.

Prajogo, D. and Sohal, A. (2003), “The Relationship between TQM Practices, Quality Performance, and Innovation Performance: An Empirical Examination”, International Journal of Quality & Reliability Management, Vol.20 No.8, pp.901–918.

Quang, H., Sampaio, P., Carvalho, M., Fernandes, A., Na, D. and Vilhenac, E.

(2016), “An extensive structural model of supply chain quality management and firm performance”, International Journal of Quality & Reliability Management, Vol.33 No.4, pp.444-464.

Rodgers, R. and Hunter, J. (1991), “Impact of Management by Objectives on Organizational Productivity”, Journal of Applied Psychology, Vol.76 No.2, pp.322-336.

84 Rosenzweig, E., Roth, A. and Dean, J. (2003), “The Influence of an Integration

Strategy on Competitive Capabilities and Business Performance: An Exploratory Study of Consumer Products Manufacturers”, Journal of Operations Management, Vol.21 No.4, pp.437–456.

Rosenzweig, E., Roth, A. and Dean, J. (2003), “The Influence of an Integration Strategy on Competitive Capabilities and Business Performance: An Exploratory Study of Consumer Products Manufacturers”, Journal of Operations Management, Vol.21 No.4, pp.437–456.

Samson, D. and Terziovski, M. (1999), “The Relationship between Total Quality Management Practices and Operational Performance”, Journal of Operations Management, Vol.17 No.4, pp.393–409.

Sekaran, U., & Bougie, R. 2017. Metode Penelitian untuk Bisnis Pendekatan Pengembangan-Keahlian. Jakarta: Salemba Empat.

Sekaran, Uma, 2007, Research Methods For Business. Jakarta, Salemba Empat Sekaran, Uma, 2013, Research Methods For Business. Jakarta, Salemba Empat.

Shafiq, A., Johnson, P. F., Klassen, R. D., & Awaysheh, A. (2017). Exploring the implications of supply risk on sustainability performance.

85 International Journal of Operations and Production Management, 37(10), 1386–1407. https://doi.org/10.1108/IJOPM-01-2016-0029

Sila, I., Ebrahimpour, M. and Birkholz, C. (2006), “Quality in Supply Chains: An Empirical Analysis”, Supply Chain Management: An International Journal, Vol.11 No.6, pp.491–502.

Soares, A., Soltani, E., Liao, Y., (2017) The Influence of Supply Chain Quality Management Practices on Quality Performance: an Empirical Investigation”, Supply Chain Management: An International Journal 2(22): 1 - 65.

Sobandi, Koesmawan., dan Kosasih, Sobarsa. 2014, Manajemen Operasi. Jakarta:

Mitra Wacana Media.

Sroufe, R. and Curkovic, S. (2008), “An Examination of ISO 9000:2000 and Supply Chain Quality Assurance”, Journal of Operations Management, Vol.26 No.4, pp.503–520.

Steven, A. B., & Britto, R. A. (2016). Emerging market presence, inventory, and product recall linkages. Journal of Operations Management, 46, 55–68.

https://doi.org/10.1016/j.jom.2016.07.003 Sugiyono. (2013). Metode Penelitian Kuantitatif

Suharto, R., & Devie. (2013). Analisa Pengaruh Supply Chain Management Terhadap Keunggulan Bersaing dan Kinerja Perusahaan. Business Accounting Review, 1(2), 161–171.

86 Sun, H., & Ni, W. (2012). The impact of upstream supply and downstream

demand integration on quality management and quality performance. In International Journal of Quality and Reliability Management (Vol. 29, Issue 8, pp. 872–890). https://doi.org/10.1108/02656711211270342 Truong et al,(2017) Supply chain management practices and firms’ operational

performance.

Wilkinson, A. and Willmott, H. (1996) "Quality management, problems and pitfalls: a critical perspective", International Journal of Quality & Reliability Management, Vol. 13 No.2, pp.55-65.

Wurjaningrum F., Reynanda (2012), “PENGARUH PERBAIKAN KUALITAS TERHADAP KINERJA OPERASI UKM GARMEN SURABAYA DENGAN PERBAIKAN PRODUKTIVITAS SEBAGAI VARIABEL INTERVENING”, Buletin Studi Ekonomi, Vol 17 No.2, pp.99-225.

Yeung, A. (2008), “Strategic Supply Management, Quality Initiatives, and

Organizational Performance”, Journal of Operations Management, Vol.26 No.4, pp.490–502.

Yeung, A. (2008), “Strategic Supply Management, Quality Initiatives, and Organizational Performance”, Journal of Operations Management, Vol.26 No.4, pp.490–502.

87 Zhang, L., Wang, S., Li, F., Wang, H., Wang, L., & Tan, W. (2012), “A few

measures for ensuring supply chain quality”, International Journal of Production Research, Vol.49 No.1, pp.87-97.

Zu, X. and Kaynak, H. (2012), “An Agency Theory Perspective on Supply Chain Quality Management”, International Journal of Operations & Production Management, Vol.32 No.4, pp.423–446.

88 LAMPIRAN 1

KUESIONER PENELITIAN

ANALISIS PENGARUH MANAJEMEN KUALITAS RANTAI PASOKAN TERHADAP KINERJA KUALITAS INDUSTRI KEDAI KOPI DI KABUPATEN

SLEMAN, DAERAH ISTIMEWA YOGYAKARTA Hal: Pengisian Kuesioner

Assalamuallaikum Wr. Wb.

Perkenalkan Saya Rolland Aulia Akhmad, Mahasiswa Fakultas Bisnis dan Ekonomika Universitas Islam Indonesia, Daerah Istimewa Yogyakarta. Saat ini saya sedang melakukan penelitian yang berhubungan dengan Pengaruh Proses SCQM terhadap Kinerja Kualitas pada Industri Kedai Kopi di Kabupaten Sleman untuk tugas akhir skripsi. Kuesioner ini ditujukan untuk responden para pelaku bisnis di sektor

89 kedai kopi serta berdomisili di Kabupaten Sleman. Sehubung dengan hal tersebut, dimohon kesediaan saudara/i untuk berkenan mengisi kuesioner tersebut. Data yang diisikan akan dijaga kerahasiaannya dan hanya digunakan untuk penelitian ini.

Atas perhatian dan kesediaannya dalam mengisi kuesioner penelitian ini, saya mengucapkan terima kasih

Wassalamuallaikum. Wr. Wb Salam Hormat,

Rolland Aulia Akhmad DATA RESPONDEN

Mohon diisi semua pertanyaan dibawah ini dengan memberi jawaban yang paling sesuai. Kuesioner ini kami sebarkan guna tugas akhir dan kami tidak akan

menyebarluaskan jawaban karena bersifat pribadi.

1. Nama Responden :

2. Nama Usaha Yang Dikelola :

3. Jumlah Karyawan : a. 50 orang b. 50 – 100 orang c. > 100 orang 4. Pendapatan dalam (1 tahun) : a. 50 - 100 Juta

b. 100 - 300 Juta c. > 300 Juta

90 5. Jabatan Responden : a. Pemilik Perusahaan

b. Manajer/Direktur/PengelolaUsaha c. Staf Operasional

6. Umur Usaha : a. 5 tahun

b. 5-10 tahun c. > 10 tahun

Keterangan:

Bapak/Ibu/Sdr/i cukup memberikan tanda centang () pada jawaban yang sesuai dengan keadaan saat ini. Kriteria penilaian:

STS TS N S SS

Sangat Tidak Setuju

Tidak Setuju

Netral Setuju

Sangat Setuju

1 2 3 4 5

Fokus Pelanggan (X1)

NO. PERTANYAAN STS TS N S SS

91 1.

Penentuan faktor kunci untuk membangun dan memelihara hubungan pelanggan.

Mengkomunikasikan kebutuhan strategis masa depan pelanggan di seluruh rantai pasokan.

Pengukuran dan evaluasi faktor kepuasan pelanggan.

Evaluasi pengaduan formal dan informal.

Tindak lanjut dengan pelanggan untuk umpan balik kualitas/layanan.

Fokus Pemasok (X2)

NO. PERTANYAAN STS TS N S SS

Perusahaan kami secara rutin melakukan audit kualitas pemasok.

92 2.

Perusahaan kami memiliki informasi rinci tentang kinerja pemasok.

Perusahaan kami selalu berpartisipasi dalam kegiatan pemasok yang

berkaitan dengan kualitas.

Perusahaan kami menganggap kualitas produk sebagai faktor terpenting untuk memilih pemasok.

Perusahaan kami selalu memberikan umpan balik atas kinerja produk pemasok.

Integrasi Rantai Pasokan (X3)

NO. PERTANYAAN STS TS N S SS

Perusahaan kami meningkatkan integrasi aktivitas di seluruh rantai pasokan.

93 2.

Perusahaan kami melibatkan semua anggota rantai pasokan dalam rencana produk/jasa/pemasaran.

Perusahaan kami menciptakan tingkat kepercayaan yang lebih besar di antara anggota rantai pemasok.

Perusahaan kami membantu pemasok dalam meningkatkan kemampuan mereka.

Terdapat sistem komunikasi/informasi yang kompatibel dengan pemasok.

Kepemimpinan yang berkualitas (X4)

NO. PERTANYAAN STS TS N S SS

Manajemen puncak sangat mendorong keterlibatan karyawan dalam

manajemen mutu dan kegiatan peningkatan.

94 2.

Manajemen puncak secara aktif berpartisipasi dalam manajemen mutu dan proses perbaikan.

Manajemen puncak memberdayakan karyawan untuk memecahkan masalah kualitas.

Manajemen puncak memberdayakan pemasok untuk memecahkan masalah kualitas.

Manajemen puncak mempelajari konsep dan keterampilan yang berhubungan dengan kualitas.

Kinerja Kualitas (Y)

NO. PERTANYAAN 3 TS N S SS

Produk memiliki fitur/karakteristik yang khas jika dibandingkan dengan kompetitor.

95 2.

Produk memiliki daya tahan teknis yang lebih tinggi daripada pesaing.

Perusahaan kami sering menerapkan peningkatan kualitas.

Produk yang disediakan sesuai dengan spesifikasi yang telah diatur

sebelumnya.

LAMPIRAN 2

DAFTAR DATA VARIABEL 1. Fokus Pelanggan

X1.1 X1.2 X1.3 X1.4 X1.5

3 3 3 3 3

4 5 4 4 4

4 4 4 4 4

4 4 3 4 4

4 4 4 4 4

3 2 2 2 1

4 4 2 4 2

4 4 4 4 4

4 4 4 5 4

4 4 4 4 4

2 2 2 2 2

3 3 3 3 4

5 4 4 4 5

5 5 5 5 5

4 4 4 4 4

4 4 5 4 5

4 4 4 4 4

5 5 5 5 5

5 5 5 4 4

4 4 4 5 4

4 4 4 4 4

2 3 3 2 2

4 4 4 4 4

5 5 5 5 5

4 4 4 4 5

4 4 4 4 4

3 3 3 4 4

4 4 4 4 4

5 5 5 5 5

5 5 5 4 5

4 4 4 4 4

2 3 2 3 2

2 3 2 2 3

5 4 5 5 5

4 4 4 5 4

4 4 4 4 4

4 4 4 4 5

5 5 5 5 5

5 5 5 5 4

5 5 5 5 5

4 4 4 3 4

5 4 5 5 5

4 4 5 5 4

4 4 4 4 4

4 5 5 5 5

4 5 5 4 4

4 5 5 5 4

4 4 4 4 4

4 5 4 4 5

4 3 3 3 4

4 5 4 4 4

5 5 5 3 4

5 5 5 5 4

4 4 4 4 4

5 5 5 4 5

4 4 4 4 4

5 4 5 5 5

5 5 5 5 5

4 4 4 3 4

5 5 5 5 5

4 4 5 5 4

4 4 4 4 4

4 4 5 5 5

4 4 4 4 4

5 4 4 4 5

5 5 5 5 5

4 4 4 4 4

4 4 5 4 5

4 4 4 4 4

5 5 5 5 5

5 5 5 4 4

4 4 4 5 4

4 4 4 4 4

5 5 5 5 5

4 4 4 4 4

5 5 5 5 5

4 4 4 4 5

4 4 4 4 4

3 3 3 4 4

4 4 4 4 4

5 5 5 5 5

5 5 5 4 5

4 4 4 4 4

2 3 2 3 2

5 5 5 5 5

5 4 5 5 5

2. Fokus Pemasok

X2.1 X2.2 X2.3 X2.4 X2.5

4 4 4 4 4

4 5 5 4 4

5 5 5 5 5

4 4 4 4 4

5 5 5 5 5

4 5 4 4 4

5 5 4 5 5

5 2 4 4 5

5 2 4 5 5

5 5 4 5 5

4 2 4 4 4

5 5 4 5 5

2 2 2 2 2

5 4 5 4 5

4 5 4 3 4

5 5 5 5 5

4 5 5 4 4

4 5 4 4 4

4 5 5 4 4

5 5 4 4 5

4 5 4 4 4

5 5 5 5 5

4 4 4 4 4

4 5 5 4 5

5 5 5 5 5

4 4 4 5 4

5 5 5 5 5

2 3 3 2 2

4 4 4 4 4

4 4 3 3 4

4 4 4 4 4

4 5 4 4 5

4 4 4 4 4

3 2 2 3 2

5 5 5 5 5

2 3 3 2 2

5 4 4 4 4

4 4 4 4 4

5 5 5 5 5

5 4 4 4 4

5 5 5 5 5

4 4 4 4 4

5 5 5 5 5

5 5 5 4 5

4 4 4 4 4

5 4 5 5 5

100

4 5 5 5 5

5 5 5 5 5

4 4 4 3 4

4 4 4 4 4

3 3 4 3 4

4 4 4 4 4

5 5 5 4 5

4 4 5 5 5

5 5 5 5 5

4 5 5 5 5

4 4 4 3 4

4 4 5 4 5

5 5 5 5 5

5 3 3 3 3

3 3 4 4 4

5 5 5 5 5

5 5 4 4 4

5 5 5 5 5

4 5 4 3 4

5 5 5 5 5

4 5 5 4 4

4 5 4 4 4

4 5 5 4 4

5 5 4 4 4

4 5 4 4 4

5 5 5 5 5

4 4 4 4 4

4 5 5 4 4

5 5 5 5 5

4 4 4 5 5

5 5 5 5 5

4 5 4 4 4

101

4 4 4 4 4

4 4 3 3 3

4 4 4 4 4

5 5 5 5 5

4 5 4 4 4

4 4 4 4 4

3 2 2 3 3

5 5 5 5 5

5 5 5 4 4

3. Integrasi Rantai Pasokan

X3.1 X3.2 X3.3 X3.4 X3.5

4 4 4 4 4

5 5 5 5 5

4 4 4 4 4

5 5 5 5 5

4 4 4 4 5

5 5 3 5 5

4 4 5 4 5

5 4 5 4 5

5 4 4 4 5

4 4 4 4 4

5 4 5 5 5

2 2 2 2 2

4 3 2 3 3

3 4 4 5 5

5 5 5 4 5

4 5 4 4 5

4 4 5 4 5

4 5 5 4 4

5 5 5 4 4

5 4 5 4 4

5 5 5 4 5

4 4 4 5 5

5 4 4 4 4

102

4 4 4 4 4

4 5 5 4 4

5 5 5 4 4

2 3 2 2 3

4 5 5 5 5

4 4 5 4 4

4 4 4 4 4

3 3 4 4 4

4 4 4 4 4

5 5 5 5 5

3 4 4 4 4

4 4 4 4 4

2 3 3 2 2

5 5 5 5 5

4 5 4 5 5

2 3 3 3 2

3 3 3 4 4

4 4 4 4 4

4 4 4 5 5

4 4 5 4 4

4 5 5 5 5

5 5 5 5 5

3 4 3 3 4

5 5 4 5 5

4 4 4 4 4

4 4 5 4 4

4 5 4 5 5

5 5 5 5 5

3 4 3 3 4

4 4 4 4 4

4 4 4 3 3

4 5 4 5 5

4 4 4 4 4

5 5 4 4 4

4 4 4 4 4

5 5 5 5 5

4 4 4 4 4

5 4 4 5 5

103

5 5 5 5 5

3 5 5 5 5

4 4 3 3 3

5 5 5 5 5

4 4 4 4 4

3 4 4 4 4

5 5 5 5 5

3 5 4 5 5

4 5 5 5 5

3 4 4 5 5

5 5 5 4 5

4 5 4 4 5

4 4 5 4 5

4 5 5 4 4

5 5 5 4 4

5 4 5 4 4

5 5 5 4 5

4 4 4 5 5

5 4 4 4 4

4 4 4 4 4

4 5 5 4 4

5 5 5 4 4

4 5 4 4 4

4 5 5 5 5

4 4 5 4 4

4 4 4 4 4

3 3 4 4 4

4 4 4 4 4

5 5 5 5 5

3 4 4 4 4

4 4 4 4 4

2 3 3 2 2

5 5 5 5 5

4 5 4 5 5

4. Kepemimpinan Yang Berkualitas

104

X4.1 X4.2 X4.3 X4.4 X4.5

4 4 3 3 3

4 4 4 3 4

5 4 4 4 4

4 3 4 4 4

4 3 4 3 4

5 4 5 5 5

5 3 4 3 5

4 5 5 5 4

5 5 5 5 5

4 4 4 4 4

5 5 5 4 5

2 3 1 3 2

5 4 5 5 4

4 4 4 4 3

5 5 5 5 5

4 4 4 4 4

5 5 5 4 5

5 5 5 5 2

5 5 5 5 5

5 4 5 5 5

4 4 4 4 4

4 5 4 5 5

4 4 4 4 4

5 5 5 5 5

4 4 4 4 4

2 3 3 2 2

5 4 4 4 4

4 4 4 4 4

4 4 3 4 3

4 4 4 4 4

5 5 5 5 5

4 4 4 4 4

3 3 3 3 3

105

5 5 5 5 5

4 4 4 4 4

3 3 2 2 3

4 4 4 3 4

4 4 4 4 4

4 4 4 5 4

4 5 5 4 5

5 5 5 5 5

3 4 3 4 3

5 5 5 5 5

4 4 4 4 5

4 4 4 4 4

5 4 4 4 5

5 4 4 5 5

4 4 4 4 4

5 5 5 5 4

4 4 4 4 4

5 5 4 5 5

5 5 5 5 5

4 4 4 5 4

4 4 4 4 4

5 5 5 5 5

4 3 4 3 4

5 5 5 5 5

5 5 5 5 4

4 4 5 4 4

5 5 5 5 5

4 4 4 4 3

5 5 5 5 5

106

4 4 4 4 4

5 5 5 4 5

5 5 5 5 2

5 5 5 5 5

5 4 5 5 5

4 4 4 4 4

4 5 4 5 5

4 4 4 4 4

5 5 5 5 5

4 4 4 4 4

5 5 5 5 5

5 4 4 4 4

4 4 4 4 4

4 4 3 4 3

4 4 4 4 4

5 5 5 5 5

4 4 4 4 4

3 3 3 3 3

5 5 5 5 5

5. Kinerja Kualitas

Y.1 Y.2 Y.3 Y.4

4 4 3 3

5 5 4 4

4 4 4 4

4 4 4 2

107

4 2 5 3

5 5 4 3

5 5 5 5

4 5 4 4

5 5 4 4

4 4 4 3

5 5 5 2

3 2 2 3

4 4 3 3

4 4 4 4

5 5 5 5

4 4 4 4

5 5 5 5

4 4 4 4

4 4 3 4

4 4 4 4

5 5 4 4

4 4 4 4

5 5 5 5

4 4 4 4

4 4 5 5

4 3 4 4

4 4 4 4

5 5 5 5

4 4 4 4

2 3 2 2

5 5 5 5

5 5 4 5

3 4 4 4

3 4 3 4

4 4 3 4

4 4 5 5

108

5 5 5 4

4 4 4 4

3 3 3 3

4 4 3 4

5 5 5 5

4 5 4 4

4 4 4 4

4 5 5 5

4 4 5 4

5 5 5 5

4 4 4 4

4 4 5 5

4 4 3 3

4 4 4 4

5 5 5 5

4 5 4 5

5 5 5 5

4 4 5 4

4 4 4 4

5 5 4 5

5 5 5 5

4 5 5 5

4 4 4 2

4 5 5 5

5 5 5 5

5 5 4 4

5 5 5 5

5 5 5 4

4 4 4 4

5 5 5 5

2 3 2 3

4 4 4 4

5 5 5 5

109

4 4 4 4

4 4 3 4

4 4 4 4

5 5 4 4

4 4 4 4

5 5 5 5

4 4 4 4

4 4 5 5

4 3 4 4

4 4 4 4

5 5 5 5

4 4 4 4

2 3 2 2

5 5 5 5

5 5 4 5

LAMPIRAN 3

UJI OUTER MODEL SMART-PLS 3.0 1. Uji Validitas Konvergen

Variabel Indikator Loading Factor

Batas

Kritis Keterangan

110 Fokus Pelanggan

X1.1 0.935 0.700 Valid

X1.2 0.904 0.700 Valid

X1.3 0.947 0.700 Valid

X1.4 0.871 0.700 Valid

X1.5 0.889 0.700 Valid

Fokus Pemasok

X2.1 0.866 0.700 Valid

X2.2 0.786 0.700 Valid

X2.3 0.908 0.700 Valid

X2.4 0.892 0.700 Valid

X2.5 0.927 0.700 Valid

Integrasi Rantai Pasokan

X3.1 0.804 0.700 Valid

X3.2 0.875 0.700 Valid

X3.3 0.836 0.700 Valid

X3.4 0.856 0.700 Valid

X3.5 0.879 0.700 Valid

Kepemimpinan Yang Berkualitas

X4.1 0.913 0.700 Valid

X4.2 0.899 0.700 Valid

X4.3 0.932 0.700 Valid

X4.4 0.893 0.700 Valid

X4.5 0.797 0.700 Valid

Kinerja Kualitas

Y.1 0.906 0.700 Valid

Y.2 0.883 0.700 Valid

Y.3 0.878 0.700 Valid

Y.4 0.829 0.700 Valid

Sumber: Hasil Output SmartPLS (v.3.2.9)

111 2. Uji Reliabilitas

Variabel Cronbach' s Alpha

Reliabilita s Komposit

Rata-rata Varians Diekstrak (AVE)

Fokus Pelanggan 0.948 0.960 0.828

Fokus Pemasok 0.924 0.943 0.769

Integrasi Rantai

Pasokan 0.904 0.929 0.724

Kepemimpinan Yang

Berkualitas 0.933 0.949 0.789

Kinerja Kualitas 0.897 0.929 0.765

Sumber: Hasil Output SmartPLS (v.3.2.9)

3. Inner Model

112

113 LAMPIRAN 4

Hasil Uji Hipotesis

114 LAMPIRAN 5

HASIL UJI REGRESI Regression for Y.1 against all X:

OLS Regression Results

===========================================================================

===

Dep. Variable: Y.1 R-squared: 0.479 Model: OLS Adj. R-squared: 0.347 Method: Least Squares F-statistic: 3.625

Date: Wed, 23 Aug 2023 Prob (F-statistic): 2.16e-05 Time: 10:22:04 Log-Likelihood: -71.587 No. Observations: 100 AIC: 185.2 Df Residuals: 79 BIC: 239.9 Df Model: 20

Covariance Type: nonrobust

===========================================================================

===

coef std err t P>|t| [0.025 0.975]

--- ---

const 1.2425 0.544 2.286 0.025 0.161 2.324 X1.1 0.2338 0.197 1.188 0.239 -0.158 0.626 X1.2 -0.2284 0.188 -1.215 0.228 -0.603 0.146 X1.3 0.0685 0.190 0.360 0.719 -0.310 0.447 X1.4 -0.0156 0.144 -0.108 0.914 -0.302 0.271 X1.5 -0.1498 0.163 -0.921 0.360 -0.474 0.174 X2.1 0.0062 0.176 0.035 0.972 -0.344 0.357

115 X2.2 0.1445 0.112 1.294 0.199 -0.078 0.367

X2.3 0.1738 0.191 0.911 0.365 -0.206 0.554 X2.4 -0.0280 0.193 -0.145 0.885 -0.411 0.355 X2.5 -0.0695 0.217 -0.320 0.749 -0.501 0.362 X3.1 0.1006 0.122 0.823 0.413 -0.143 0.344 X3.2 -0.0029 0.174 -0.017 0.987 -0.348 0.343 X3.3 0.0971 0.142 0.681 0.498 -0.186 0.381 X3.4 0.1261 0.161 0.782 0.437 -0.195 0.447 X3.5 0.0290 0.166 0.175 0.862 -0.301 0.359 X4.1 0.0076 0.198 0.039 0.969 -0.386 0.402 X4.2 0.2155 0.190 1.133 0.261 -0.163 0.594 X4.3 0.2269 0.189 1.201 0.234 -0.149 0.603 X4.4 -0.0349 0.171 -0.205 0.838 -0.374 0.304 X4.5 -0.1908 0.136 -1.399 0.166 -0.462 0.081

===========================================================================

Omnibus: 62.836 Durbin-Watson:

2.112

Prob(Omnibus): 0.000 Jarque-Bera (JB):

329.276

Skew: -2.017 Prob(JB):

3.15e-72

Kurtosis: 10.921 Cond. No.

195.

116 Regression for Y.2 against all X:

OLS Regression Results

===========================================================================

===

Dep. Variable: Y.2 R-squared: 0.546 Model: OLS Adj. R-squared: 0.431

Method: Least Squares F-statistic: 4.754

Date: Wed, 23 Aug 2023 Prob (F-statistic): 2.74e-07 Time: 10:22:04 Log-Likelihood: -64.681 No. Observations: 100 AIC: 171.4

Df Residuals: 79 BIC: 226.1 Df Model: 20

Covariance Type: nonrobust

===========================================================================

===

coef std err t P>|t| [0.025 0.975]

--- ---

const 0.7257 0.507 1.430 0.157 -0.284 1.735 X1.1 0.1778 0.184 0.968 0.336 -0.188 0.543 X1.2 -0.0825 0.176 -0.470 0.640 -0.432 0.267 X1.3 0.1678 0.177 0.946 0.347 -0.185 0.521 X1.4 0.0061 0.134 0.045 0.964 -0.261 0.273 X1.5 -0.1230 0.152 -0.810 0.420 -0.425 0.179 X2.1 0.3188 0.164 1.941 0.056 -0.008 0.646 X2.2 -0.1502 0.104 -1.442 0.153 -0.358 0.057 X2.3 0.1776 0.178 0.997 0.322 -0.177 0.532

117 X2.4 -0.1475 0.180 -0.820 0.414 -0.505 0.210

X2.5 0.0191 0.202 0.095 0.925 -0.383 0.422 X3.1 0.0450 0.114 0.395 0.694 -0.182 0.272 X3.2 0.2229 0.162 1.375 0.173 -0.100 0.545 X3.3 0.0726 0.133 0.546 0.587 -0.192 0.337 X3.4 0.1188 0.151 0.789 0.433 -0.181 0.418 X3.5 -0.1960 0.155 -1.268 0.209 -0.504 0.112 X4.1 0.1746 0.185 0.945 0.347 -0.193 0.542 X4.2 0.3244 0.178 1.827 0.071 -0.029 0.678 X4.3 0.0851 0.176 0.483 0.631 -0.266 0.436 X4.4 -0.3563 0.159 -2.239 0.028 -0.673 -0.039 X4.5 -0.0104 0.127 -0.082 0.935 -0.264 0.243

===========================================================================

Omnibus: 53.977 Durbin-Watson: 1.927

Prob(Omnibus): 0.000 Jarque-Bera (JB):

186.153

Skew: -1.874 Prob(JB):

3.78e-41

Kurtosis: 8.534 Cond. No.

195.

===========================================================================

118 Regression for Y.3 against all X:

OLS Regression Results

===========================================================================

===

Dep. Variable: Y.3 R-squared: 0.482 Model: OLS Adj. R-squared: 0.351 Method: Least Squares F-statistic: 3.680 Date: Wed, 23 Aug 2023 Prob (F-statistic): 1.73e- 05

Time: 10:22:04 Log-Likelihood:

-83.189

No. Observations: 100 AIC: 208.4 Df Residuals: 79 BIC:

263.1

Df Model: 20

Covariance Type: nonrobust

===========================================================================

===

coef std err t P>|t| [0.025 0.975]

--- ---

const -0.1480 0.610 -0.243 0.809 -1.363 1.067 X1.1 -0.0752 0.221 -0.340 0.734 -0.515 0.365 X1.2 0.3633 0.211 1.720 0.089 -0.057 0.784 X1.3 -0.1126 0.213 -0.527 0.599 -0.537 0.312 X1.4 -0.0913 0.162 -0.565 0.574 -0.413 0.230 X1.5 0.0977 0.183 0.535 0.594 -0.266 0.461 X2.1 0.1273 0.198 0.644 0.521 -0.266 0.521

119 X2.2 0.0898 0.125 0.716 0.476 -0.160 0.339

X2.3 0.0553 0.214 0.258 0.797 -0.371 0.482 X2.4 0.0014 0.216 0.006 0.995 -0.429 0.432 X2.5 0.0282 0.243 0.116 0.908 -0.456 0.513 X3.1 -0.1525 0.137 -1.111 0.270 -0.426 0.121 X3.2 -0.0648 0.195 -0.332 0.741 -0.453 0.323 X3.3 0.2068 0.160 1.293 0.200 -0.112 0.525 X3.4 0.2599 0.181 1.434 0.155 -0.101 0.621 X3.5 -0.0279 0.186 -0.150 0.881 -0.398 0.342 X4.1 0.0566 0.222 0.255 0.800 -0.386 0.499 X4.2 -0.0509 0.214 -0.238 0.812 -0.476 0.374 X4.3 0.1332 0.212 0.628 0.532 -0.289 0.556 X4.4 0.1902 0.192 0.993 0.324 -0.191 0.571 X4.5 -0.0191 0.153 -0.125 0.901 -0.324 0.286

===========================================================================

Omnibus: 40.884 Durbin-Watson: 1.711 Prob(Omnibus): 0.000 Jarque-Bera (JB): 126.982 Skew: -1.387 Prob(JB): 2.67e-28 Kurtosis: 7.772 Cond. No. 195.

120 Regression for Y.4 against all X:

OLS Regression Results

===========================================================================

===

Dep. Variable: Y.4 R-squared:

0.509

Model: OLS Adj. R-squared:

0.384

Method: Least Squares F-statistic: 4.092 Date: Wed, 23 Aug 2023 Prob (F-statistic):

3.41e-06

Time: 10:22:04 Log-Likelihood:

-83.552

No. Observations: 100 AIC:

209.1

Df Residuals: 79 BIC:

263.8

Df Model: 20

Covariance Type: nonrobust

===========================================================================

===

coef std err t P>|t| [0.025 0.975]

--- ---

const -0.3169 0.613 -0.517 0.606 -1.536 0.903 X1.1 -0.0144 0.222 -0.065 0.949 -0.456 0.427 X1.2 0.3069 0.212 1.448 0.152 -0.115 0.729 X1.3 -0.1046 0.214 -0.488 0.627 -0.531 0.322 X1.4 0.1404 0.162 0.866 0.389 -0.182 0.463

121 X1.5 0.0389 0.183 0.212 0.833 -0.326 0.404

X2.1 0.1263 0.198 0.637 0.526 -0.269 0.521 X2.2 0.0341 0.126 0.271 0.787 -0.216 0.285 X2.3 0.4062 0.215 1.889 0.063 -0.022 0.834 X2.4 -0.0534 0.217 -0.246 0.806 -0.485 0.379 X2.5 -0.2736 0.244 -1.120 0.266 -0.760 0.213 X3.1 -0.0751 0.138 -0.545 0.587 -0.349 0.199 X3.2 0.0225 0.196 0.115 0.909 -0.367 0.412 X3.3 -0.0410 0.161 -0.255 0.799 -0.361 0.279 X3.4 0.2013 0.182 1.107 0.272 -0.161 0.563 X3.5 0.0012 0.187 0.006 0.995 -0.371 0.373 X4.1 -0.0220 0.223 -0.098 0.922 -0.466 0.422 X4.2 0.6128 0.214 2.858 0.005 0.186 1.040 X4.3 -0.3277 0.213 -1.539 0.128 -0.752 0.096 X4.4 0.1992 0.192 1.036 0.303 -0.183 0.582 X4.5 -0.1288 0.154 -0.838 0.404 -0.435 0.177

===========================================================================

Omnibus: 24.708 Durbin-Watson: 1.659 Prob(Omnibus): 0.000 Jarque-Bera (JB): 39.628 Skew: -1.076 Prob(JB): 2.48e-09 Kurtosis: 5.209 Cond. No.

195.

Dalam dokumen Analisis Pengaruh Praktek Manajemen Kualitas Rantai Pasokan Terhadap Kinerja Kualitas Industri Kedai Kopi di Kabupaten Sleman, Daerah Istimewa Yogyakarta (Halaman 85-135)