Machine Setup Operator
Rp151.510.342 (IDR)/yr
Rp72.841,51 (IDR)/hr
Rp2.469.619 (IDR)/yr
The average machine setup operator gross salary in Lampung, Indonesia is Rp151.510.342 or an equivalent hourly rate of Rp72.842. This is 22% lower (-Rp42.132.073) than the average machine setup operator salary in Indonesia. In addition, they earn an average bonus of Rp2.469.619. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Lampung, Indonesia. An entry level machine setup operator (1-3 years of experience) earns an average salary of Rp114.113.397. On the other end, a senior level machine setup operator (8+ years of experience) earns an average salary of Rp172.016.446.
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Rp172.291.454 (IDR)
14 %
Based on our compensation data, the estimated salary potential for Machine Setup Operator will increase 14 % over 5 years.
This chart displays the highest level of education for:
Machine Setup Operator, the majority at 50% with less than hss.
Typical Field of Study: Machine Tool Technology/Machinist Training
See how education can impact your salaryThe cost of living in Lampung, Indonesia is 2% less than the average cost of living in Indonesia. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageLampung (English: ; Indonesian: [ˈlampʊŋ]), officially the Province of Lampung (Indonesian: Provinsi Lampung; Indonesian pronunciation: [proˌfinsi ˈlampʊŋ]), is a province of Indonesia. It is located on the southern tip of the island of Sumatra. It has a short border with the province of Bengkulu to the northwest, and a longer border with the province of South Sumatra to the north, as well as a maritime border with the provinces of Banten and Jakarta to the east. It is the home of the Lampung pe
Sourced from WikipediaERI's compensation data are based on salary surveys conducted and researched by ERI. Cost of labor data in the Assessor Series are based on actual housing sales data from commercially available sources, plus rental rates, gasoline prices, consumables, medical care premium costs, property taxes, effective income tax rates, etc.
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