Process Engineer
Rp277.724.055 (IDR)/yr
Rp133.521,18 (IDR)/hr
Rp8.887.170 (IDR)/yr
The average process engineer gross salary in Lampung, Indonesia is Rp277.724.055 or an equivalent hourly rate of Rp133.521. This is 22% lower (-Rp79.047.489) than the average process engineer salary in Indonesia. In addition, they earn an average bonus of Rp8.887.170. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Lampung, Indonesia. An entry level process engineer (1-3 years of experience) earns an average salary of Rp199.158.899. On the other end, a senior level process engineer (8+ years of experience) earns an average salary of Rp316.610.583.
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Rp315.355.170 (IDR)
14 %
Based on our compensation data, the estimated salary potential for Process Engineer will increase 14 % over 5 years.
This chart displays the highest level of education for:
Process Engineer, the majority at 100% with bachelors.
Typical Field of Study: Manufacturing Engineering
See how education can impact your salary- Six Sigma Green Belt
- Six Sigma Black Belt
- Project Management Professional - PMP - Project Management Institute
The 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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