Analysis of barriers in supplying electricity using interpretative structural modeling

Rusman Sinaga; null Prastowo; Bintang C.H. Simangunsong; Ariel Liebman; Armansyah H. Tambunan

doi:10.1016/j.esr.2019.04.011

Analysis of barriers in supplying electricity using interpretative structural modeling

Rusman Sinaga, Prastowo, Bintang C.H. Simangunsong, Ariel Liebman, Armansyah H. Tambunan

Monash Energy Materials and Systems Institute (MEMSI)

Research output: Contribution to journal › Article › Research › peer-review

1 Citation (Scopus)

Abstract

Statistical data shows that electrification ratio in Kupang District of East Nusa Tenggara, Indonesia, is 60%. It means that there are 30,910 out of 78,011 households have no access to Electrical Energy Resources (EER). The objective of this research was to analyze the barriers, and find sub-elements of the barriers, in supplying EER to the region by using interpretative structural modeling (ISM) approach. Major finding in this research are two folds. 1) Key factor of the barriers for supplying EER to the region was the difficulties to reach due to its geographical conditions. 2) Difficulties in inter-sectoral coordination, lack of government funding, difficulties in land acquisition, and inadequacy in equipment, materials and human resources, were independent and have high driving force for supplying the ERR in Kupang District.

Original language	English
Pages (from-to)	11-17
Number of pages	7
Journal	Energy Strategy Reviews
Volume	25
DOIs	https://doi.org/10.1016/j.esr.2019.04.011
Publication status	Published - Aug 2019

Keywords

Analysis of barriers
Electrical energy resources (EER)
Interpretative structural modeling
Kupang district

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10.1016/j.esr.2019.04.011

273454889-oaFinal published version, 1.5 MB

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Cite this

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title = "Analysis of barriers in supplying electricity using interpretative structural modeling",

abstract = "Statistical data shows that electrification ratio in Kupang District of East Nusa Tenggara, Indonesia, is 60%. It means that there are 30,910 out of 78,011 households have no access to Electrical Energy Resources (EER). The objective of this research was to analyze the barriers, and find sub-elements of the barriers, in supplying EER to the region by using interpretative structural modeling (ISM) approach. Major finding in this research are two folds. 1) Key factor of the barriers for supplying EER to the region was the difficulties to reach due to its geographical conditions. 2) Difficulties in inter-sectoral coordination, lack of government funding, difficulties in land acquisition, and inadequacy in equipment, materials and human resources, were independent and have high driving force for supplying the ERR in Kupang District.",

keywords = "Analysis of barriers, Electrical energy resources (EER), Interpretative structural modeling, Kupang district",

author = "Rusman Sinaga and Prastowo and Simangunsong, {Bintang C.H.} and Ariel Liebman and Tambunan, {Armansyah H.}",

year = "2019",

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doi = "10.1016/j.esr.2019.04.011",

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AU - Sinaga, Rusman

AU - Prastowo, null

AU - Simangunsong, Bintang C.H.

AU - Liebman, Ariel

AU - Tambunan, Armansyah H.

PY - 2019/8

Y1 - 2019/8

N2 - Statistical data shows that electrification ratio in Kupang District of East Nusa Tenggara, Indonesia, is 60%. It means that there are 30,910 out of 78,011 households have no access to Electrical Energy Resources (EER). The objective of this research was to analyze the barriers, and find sub-elements of the barriers, in supplying EER to the region by using interpretative structural modeling (ISM) approach. Major finding in this research are two folds. 1) Key factor of the barriers for supplying EER to the region was the difficulties to reach due to its geographical conditions. 2) Difficulties in inter-sectoral coordination, lack of government funding, difficulties in land acquisition, and inadequacy in equipment, materials and human resources, were independent and have high driving force for supplying the ERR in Kupang District.

AB - Statistical data shows that electrification ratio in Kupang District of East Nusa Tenggara, Indonesia, is 60%. It means that there are 30,910 out of 78,011 households have no access to Electrical Energy Resources (EER). The objective of this research was to analyze the barriers, and find sub-elements of the barriers, in supplying EER to the region by using interpretative structural modeling (ISM) approach. Major finding in this research are two folds. 1) Key factor of the barriers for supplying EER to the region was the difficulties to reach due to its geographical conditions. 2) Difficulties in inter-sectoral coordination, lack of government funding, difficulties in land acquisition, and inadequacy in equipment, materials and human resources, were independent and have high driving force for supplying the ERR in Kupang District.

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