DIGITAL READINESS CHECK UNTUK EVALUASI ASPEK RANTAI PASOK PERUSAHAAN MANUFAKTUR DI JABODETABEK DALAM ERA INDUSTRI 4.0

Putri Maslahat(1*), Rufiani Kaulika Pratiwi(2), Rahayu Purnama Sari(3), Muhammad Pragatt Baya(4), Muhammad Faisal Ramadanu(5), Hilman Zul Yusri(6), Johannes Widjaja Wahono(7),


(1) Universitas Bina Nusantara
(2) Universitas Bina Nusantara
(3) Universitas Bina Nusantara
(4) Universitas Bina Nusantara
(5) Universitas Bina Nusantara
(6) Universitas Bina Nusantara
(7) Universitas Bina Nusantara
(*) Corresponding Author

Abstract


ABSTRAK

 

Digitalisasi merupakan transformasi proses informasi dari analog ke format digital. Munculnya industri 4.0 terlihat dengan mengadopsi teknologi digital baru oleh perusahaan di industri manufaktur untuk tujuan transformasi digital. Penelitian ini untuk memeriksa kesiapan digital sebagai evaluasi aspek rantai pasok perusahaan manufaktur di jabodetabek untuk mengeksekusi kesiapannya di industri 4.0. Dengan merangkul industri 4.0, perusahaan manufaktur dapat memperoleh manfaat dari proses smart manufacture yang memungkinkan untuk peningkatan kinerja rantai pasok, dan produktivitas bisnis yang lebih besar. Desain penelitian descriptive quantitative dengan data dari 67 perusahaan manufaktur yang berada di Jabodetabek. Menggunakan metode systematic random sampling dilakukan teknik kuesioner Digital Readiness Check (DRC). Structural Equation Modeling (PLS-SEM) digunakan untuk analisis data dengan dukungan perangkat lunak Smart-PLS. Hasil penelitian menunjukkan bahwa sebagian besar perusahaan manufaktur di Jabodetabek sudah melakukan Digital Transformation (DT) di era Industri 4.0 dengan strategi yang berpengaruh positif pada inovasi bisnis dan rantai pasokan. Namun dalam penelitian ini sebagian besar perusahaan manufaktur di Jabodetabek menunjukan bahwa kesiapan karyawan serta teknologi digital belum memadai untuk kesiapan industri 4.0.

 

Kata kunci: Industri 4.0, Digital Readiness Check (DRC), Rantai Pasok, Digital Transformation (DT)

 

ABSTRACT

 

Digitization represents the transformation of the information process from an analog to a digital format. The emergence of industry 4.0 is seen by adopting new digital technology by companies in the manufacturing industry to transform digitally. This study examines digital readiness for evaluating supply chain aspects of manufacturing companies in Jabodetabek to execute industry 4.0. By embracing industry 4.0, manufacturing companies can benefit from enabled smart manufacturing processes, improved supply chain performance and higher business productivity. Descriptive quantitative research design with data from 67 manufacturing companies located in Jabodetabek. Using a systematic random sampling method using the Digital Readiness Check (DRC) questionnaire technique. Structural Equation Modeling (SEM) is used for data analysis with Smart-PLS software support. The results of the study show that most manufacturing companies in Greater Jakarta have carried out Digital Transformation (DT) in the Industry 4.0 era with strategy that have possitive impact on business inovation and supply chain. However, in this study, most of  manufacturing company in Jabodetabek showed that the readiness of employee and digital technology were not sufficient for Industry 4.0 readiness.

 

Keywords: Industry 4.0, Digital Readiness Check (DRC), Supply Chain, Digital Transformation (DT)


 



Full Text:

PDF

References


Goncalves, Carla et al. (2019). Industry 4.0 Readiness in Manufacturing Companies: Challenges and Enablers Towards Increased Digitalization. Konferensi CIRP ke-52 tentang Sistem Manufaktur. Amsterdam: Elsevier B.V.

Tortorella, Guilherme Luz dan Diego Fettermann. (2017). Implementation of Industry 4.0 and lean production in Brazilian manufacturing companies. Jurnal Internasional Penelitian Produksi, DOI: 10.1080/00207543.2017.1391420.

Toro, Carlos et al. (2021). Implementing Industry 4.0 : The Model Factory as the Key Enabler for the Future of Manufacturing. Cham: Springer Nature Switzzerland AG.

Statistik Industri Manufaktur Indonesia 2019. (2019). (https://www.bps.go.id/publication/2021/09/30/354216337e942e45cd51b397/statistik-industri-manufaktur-indonesia-2019.html), diakses 10 September 2022.

Siaran Pers Kementerian Perindustrian. (2020). Transformasi Industri 4.0 Permudah Sektor Manufaktur Hadapi Pandemi. (https://kemenperin.go.id/artikel/22140/Transformasi-Industri-4.0-Permudah-Sektor-Manufaktur-Hadapi-Pandemi), diakses 14 September 2022.

Siaran Pers Kementerian Koordinator Bidang Perekonomian Republik Indonesia. (2021). Akselerasi Transformasi Industri 4.0 Sekaligus Menjadi Showcase Digitalisasi dalam Making Indonesia 4.0. (https://www.ekon.go.id/publikasi/detail/3507/akselerasi-transformasi-industri-40-sekaligus-menjadi-showcase-digitalisasi-dalam-making-indonesia-40), diakses 14 September 2022.

Digital Future Readiness : How do companies prepare for the opportunities and challenges of digitalisation?. (2017). (https://www2.deloitte.com/content/dam/Deloitte/ch/Documents/consumer-business/ch-cip-en-swiss-transformation.pdf), diakses 9 Oktober 2022.

Mitrofanova, Yana et al. (2021). Smart production: features of assessing the level of personnel digital readiness. Konferensi Internasional ke-25 tentang Sistem Informasi dan Rekayasa Cerdas berbasis Pengetahuan. dan. Amsterdam: Elsevier B.V.

Lassnig, Markus et al. (2021). A digital readiness check for the evaluation of supply chain aspects and company size for Industry 4.0. Jurnal Manajemen Teknologi Manufaktur Vol. 33 No. 9, 2022. pp. 1-18, DOI: 10.1108/JMTM-10-2020-0382.

De Carolis, Anna et al. (2017). A maturity model for assessing the digital readiness of manufacturing companies. Konferensi Internasional IFIP tentang Kemajuan dalam Sistem Manajemen Produksi. New York: Springer International Publishing. DOI: 10.1007/978-3-319-66923-6_2.

Schmidt, M.C et al. (2020). Ecosystems 4.0: redesigning global value chains. Jurnal Internasional Manajemen Logistik, Vol. 32 No. 4, pp. 1124-1149. DOI: 10.1108/IJLM-03-2020-0145.

Veile, Johannes W dan Daniel Kiel. (2019). Lessons learned from Industry 4.0 implementation in the German manufacturing industry. Jurnal Manajemen Teknologi Manufaktur, Vol. 31 No. 5, pp. 977-997. DOI: 10.1108/JMTM-08-2018-0270.

APICS. Supply Chain Operations Reference Model, version 12.0. (2017). (https://apics.org/scor), diakses 16 Oktober 2022.

Birkel, Hendrik dan Julian M Muller. (2021). Potentials of industry 4.0 for supply chain management within the triple bottom line of sustainability – a systematic literature review. Jurnal Produksi Bersih, 125612.

Mittal, Sameer, Muztoba Ahmad Khan, David Romero dan Thorsten Wuest. (2018). A critical review of smart manufacturing and Industry 4.0 maturity models: implications for small and medium-sized enterprises (SMEs). Jurnal Sistem Manufaktur, Vol. 49, pp. 194-214.

Schumacher, Andreas, Selim Erol, dan Wilfried Sihn. (2016). A maturity model for assessing Industry 4.0 readiness and maturity of manufacturing enterprises. Procedia CIRP, Vol. 52 No. 1, pp. 161-166.

Diamantopoulos, Adamantios dan Heidi M. Winklhofer. (2001). Index construction with formative indicators: an alternative to scale development. Jurnal Riset Pemasaran, Vol. 38 No. 2, pp. 269-277.

Ghadge, Abhijeet, Merve Er Kara, Hamid Moradlou, dan Mohit Goswami. (2020). The impact of Industry 4.0 implementation on supply chains. Jurnal Manajemen Teknologi Manufaktur, Vol.31 No. 4, pp.669-686.

Muller, Julian Marius, Oana Buliga dan Kai-Ingo Voigt. (2018). Fortune favors the prepared: how SMEs approach business model innovations in Industry 4.0. Technological Forecasting and Social Change,Vol.132,pp.2-17.

Ivanov, Dmitry, Alexandre Dolgui, Ajay Das dan Boris Sokolov. (2019). Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility. International Series in Operations Research & Management Science 276. https://doi.org/10.1007/978-3-030-14302-2_15.

Frank, Alejandro Germán, Lucas Santos Dalenogare dan Néstor Fabián Ayala. (2019). Industry 4.0 technologies: implementation patterns in manufacturing companies. Jurnal Internasional Ekonomi Produksi. DOI: 10.1016/j.ijpe.2019.01.004.

Merhar, Laura, Christoph Berger, Gunther Reinhart dan Stefan Braunreuther. (2019). Digitization of Manufacturing Companies: Employee Acceptance Towards Mobile and Wearable Devices. New York : Springer International Publishing AG. https://doi.org/10.1007/978-3-319-94619-1_18.

Saengchai, Sakapas dan Kittisak Jermsittiparsert. (2019). Supply Chain in Digital Era: Role of IT Infrastructure and Trade Digitalization in Enhancing Supply Chain Performance. Jurnal Internasional Manajemen Rantai Pasokan, Vol. 8, No.5, October 2019.

Eickemeyer, Steffen C., Jan Busch, Chia-Te Liu dan Sonia Lippke. (2021). Acting Instead of Reacting—Ensuring Employee Retention during Successful Introduction of i4.0. Switzerland : MDPI. https://doi.org/10.3390/asi4040097.

Attaran, Mohsen. (2020. Digital technology enablers and their implications for supply chain management. Supply Chain Forum: An International Journal, DOI: 10.1080/16258312.2020.1751568.

Moldabekova, Aisulu, Robert Philipp, Azimkhan A. Satybaldin dan Gunnar Prause. (2020). Technological Readiness and Innovation as Drivers for Logistics 4.0. Journal of Asian Finance, Economics and Business Vol 8 No 1 (2021) 145–156.

Ayyildiz, Ertugrul dan Alev Taskin Gumus. (2020). Interval-valued Pythagorean fuzzy AHP method-based supply chain performance evaluation by a new extension of SCOR model: SCOR 4.0. New York : Springer International Publishing AG. https://doi.org/10.1007/s40747-020-00221-9.

Müller, Julian M. (2019). Contributions of Industry 4.0 to quality management – A SCOR perspective. Amsterdam : Elsevier Ltd. FAC PapersOnLine 52-13 (2019) 1236–1241.


Abstract : 25 views. PDF : 3 views.

Refbacks

  • There are currently no refbacks.




Index :