Machine Setup Operator
Rp150.737.068 (IDR)/yr
Rp72.469,74 (IDR)/hr
Rp2.457.014 (IDR)/yr
The average machine setup operator gross salary in Mataram, Indonesia is Rp150.737.068 or an equivalent hourly rate of Rp72.470. This is 22% lower (-Rp42.891.632) than the average machine setup operator salary in Indonesia. In addition, they earn an average bonus of Rp2.457.014. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Mataram, Indonesia. An entry level machine setup operator (1-3 years of experience) earns an average salary of Rp113.530.988. On the other end, a senior level machine setup operator (8+ years of experience) earns an average salary of Rp171.138.513.
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Rp171.412.117 (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 Mataram, 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 PageMataram (Indonesian: Kota Mataram; Indonesian pronunciation: [ˌkot̪a maˈt̪aram]) is a capital city of the Indonesian province of West Nusa Tenggara. The city is surrounded on all the landward sides by (but is not administratively part of) West Lombok Regency and lies on the western side of the island of Lombok, Indonesia. It is also the largest city of the province, and had a population of 402,843 at the 2010 Census and 429,651 at the 2020 Census; the official estimate as at mid 2023 was 441,147
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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