Cite Article

Developing I4.0 Readiness Index for Factory Operation in Indonesia to Enhance INDI 4.0

Choose citation format

BibTeX

@article{IJASEIT14280,
   author = {Hasbullah Hasbullah and Salleh Ahmad Bareduan and Sawarni Hasibuan},
   title = {Developing I4.0 Readiness Index for Factory Operation in Indonesia to Enhance INDI 4.0},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {11},
   number = {4},
   year = {2021},
   pages = {1668--1677},
   keywords = {I4.0; INDI 4.0; readiness index; factory operation.},
   abstract = {Adopting Industry 4.0 (I4.0) is an effort to gain competitiveness through technological innovation for enhancing productivity and efficiency. Indonesia left behind in launching the policy timeline of the I4.0 initiative, compared to Singapore, Thailand, Malaysia, and Vietnam. In an official government report, Indonesia’s I4.0 index showed a low score at an average of 1.992 (scale 0 to 4).  Indonesia designed INDI 4.0 (Industry 4.0 readiness index Indonesia) in 2018 to prepare industry readiness. It lacks accuracy and is less comprehensive in capturing I4.0 readiness, especially in the factory operation aspect. INDI 4.0 just provides very few questions to capture extensive information in measuring I4.0. This study aimed to develop a comprehensive I4.0 index by enhancing INDI 4.0 in the factory operation aspect. By exploring issues in the I4.0 readiness index, the research extensively searched the journal articles and some other I4.0 indexes used in some countries. Finally, the paper designed a comprehensive I4.0 index with determinant indicators comprising data life cycle (sources, collection, storage, analysis, and transmission) and smart product life cycles (designing, planning, monitoring, quality, and maintenance). This model is expected to be an essential contribution to improve INDI 4.0 in Indonesia. The I4.0 phenomena will undoubtedly influence all countries, and more research into this topic and other critical variables affecting I4.0 preparation are required to complete this study. To improve this research, additional research from other academics is needed to fill in the gaps, incompleteness, and loopholes.},
   issn = {2088-5334},
   publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},
   url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=14280},
   doi = {10.18517/ijaseit.11.4.14280}
}

EndNote

%A Hasbullah, Hasbullah
%A Bareduan, Salleh Ahmad
%A Hasibuan, Sawarni
%D 2021
%T Developing I4.0 Readiness Index for Factory Operation in Indonesia to Enhance INDI 4.0
%B 2021
%9 I4.0; INDI 4.0; readiness index; factory operation.
%! Developing I4.0 Readiness Index for Factory Operation in Indonesia to Enhance INDI 4.0
%K I4.0; INDI 4.0; readiness index; factory operation.
%X Adopting Industry 4.0 (I4.0) is an effort to gain competitiveness through technological innovation for enhancing productivity and efficiency. Indonesia left behind in launching the policy timeline of the I4.0 initiative, compared to Singapore, Thailand, Malaysia, and Vietnam. In an official government report, Indonesia’s I4.0 index showed a low score at an average of 1.992 (scale 0 to 4).  Indonesia designed INDI 4.0 (Industry 4.0 readiness index Indonesia) in 2018 to prepare industry readiness. It lacks accuracy and is less comprehensive in capturing I4.0 readiness, especially in the factory operation aspect. INDI 4.0 just provides very few questions to capture extensive information in measuring I4.0. This study aimed to develop a comprehensive I4.0 index by enhancing INDI 4.0 in the factory operation aspect. By exploring issues in the I4.0 readiness index, the research extensively searched the journal articles and some other I4.0 indexes used in some countries. Finally, the paper designed a comprehensive I4.0 index with determinant indicators comprising data life cycle (sources, collection, storage, analysis, and transmission) and smart product life cycles (designing, planning, monitoring, quality, and maintenance). This model is expected to be an essential contribution to improve INDI 4.0 in Indonesia. The I4.0 phenomena will undoubtedly influence all countries, and more research into this topic and other critical variables affecting I4.0 preparation are required to complete this study. To improve this research, additional research from other academics is needed to fill in the gaps, incompleteness, and loopholes.
%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=14280
%R doi:10.18517/ijaseit.11.4.14280
%J International Journal on Advanced Science, Engineering and Information Technology
%V 11
%N 4
%@ 2088-5334

IEEE

Hasbullah Hasbullah,Salleh Ahmad Bareduan and Sawarni Hasibuan,"Developing I4.0 Readiness Index for Factory Operation in Indonesia to Enhance INDI 4.0," International Journal on Advanced Science, Engineering and Information Technology, vol. 11, no. 4, pp. 1668-1677, 2021. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.11.4.14280.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Hasbullah, Hasbullah
AU  - Bareduan, Salleh Ahmad
AU  - Hasibuan, Sawarni
PY  - 2021
TI  - Developing I4.0 Readiness Index for Factory Operation in Indonesia to Enhance INDI 4.0
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 11 (2021) No. 4
Y2  - 2021
SP  - 1668
EP  - 1677
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - I4.0; INDI 4.0; readiness index; factory operation.
N2  - Adopting Industry 4.0 (I4.0) is an effort to gain competitiveness through technological innovation for enhancing productivity and efficiency. Indonesia left behind in launching the policy timeline of the I4.0 initiative, compared to Singapore, Thailand, Malaysia, and Vietnam. In an official government report, Indonesia’s I4.0 index showed a low score at an average of 1.992 (scale 0 to 4).  Indonesia designed INDI 4.0 (Industry 4.0 readiness index Indonesia) in 2018 to prepare industry readiness. It lacks accuracy and is less comprehensive in capturing I4.0 readiness, especially in the factory operation aspect. INDI 4.0 just provides very few questions to capture extensive information in measuring I4.0. This study aimed to develop a comprehensive I4.0 index by enhancing INDI 4.0 in the factory operation aspect. By exploring issues in the I4.0 readiness index, the research extensively searched the journal articles and some other I4.0 indexes used in some countries. Finally, the paper designed a comprehensive I4.0 index with determinant indicators comprising data life cycle (sources, collection, storage, analysis, and transmission) and smart product life cycles (designing, planning, monitoring, quality, and maintenance). This model is expected to be an essential contribution to improve INDI 4.0 in Indonesia. The I4.0 phenomena will undoubtedly influence all countries, and more research into this topic and other critical variables affecting I4.0 preparation are required to complete this study. To improve this research, additional research from other academics is needed to fill in the gaps, incompleteness, and loopholes.
UR  - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=14280
DO  - 10.18517/ijaseit.11.4.14280

RefWorks

RT Journal Article
ID 14280
A1 Hasbullah, Hasbullah
A1 Bareduan, Salleh Ahmad
A1 Hasibuan, Sawarni
T1 Developing I4.0 Readiness Index for Factory Operation in Indonesia to Enhance INDI 4.0
JF International Journal on Advanced Science, Engineering and Information Technology
VO 11
IS 4
YR 2021
SP 1668
OP 1677
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 I4.0; INDI 4.0; readiness index; factory operation.
AB Adopting Industry 4.0 (I4.0) is an effort to gain competitiveness through technological innovation for enhancing productivity and efficiency. Indonesia left behind in launching the policy timeline of the I4.0 initiative, compared to Singapore, Thailand, Malaysia, and Vietnam. In an official government report, Indonesia’s I4.0 index showed a low score at an average of 1.992 (scale 0 to 4).  Indonesia designed INDI 4.0 (Industry 4.0 readiness index Indonesia) in 2018 to prepare industry readiness. It lacks accuracy and is less comprehensive in capturing I4.0 readiness, especially in the factory operation aspect. INDI 4.0 just provides very few questions to capture extensive information in measuring I4.0. This study aimed to develop a comprehensive I4.0 index by enhancing INDI 4.0 in the factory operation aspect. By exploring issues in the I4.0 readiness index, the research extensively searched the journal articles and some other I4.0 indexes used in some countries. Finally, the paper designed a comprehensive I4.0 index with determinant indicators comprising data life cycle (sources, collection, storage, analysis, and transmission) and smart product life cycles (designing, planning, monitoring, quality, and maintenance). This model is expected to be an essential contribution to improve INDI 4.0 in Indonesia. The I4.0 phenomena will undoubtedly influence all countries, and more research into this topic and other critical variables affecting I4.0 preparation are required to complete this study. To improve this research, additional research from other academics is needed to fill in the gaps, incompleteness, and loopholes.
LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=14280
DO  - 10.18517/ijaseit.11.4.14280