Quantitative Modeling and Industrial Policy Analysis (QMIPA) Laboratory
Education Administration ProgramsView the employees at
Quantitative Modeling and Industrial Policy Analysis (QMIPA) Laboratory-
Muhammad Tsar Gibran Aryasatya Best Graduates @Bangkit 23 ML Path by Google | Final Year Undergraduate Student @Industrial Eng. ITS
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Jakarta, Indonesia
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Rising Star
Lavina Fika Saniya Darma Undergraduate Student at Institut Teknologi Sepuluh Nopember Surabaya-
Malang, East Java, Indonesia
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Rising Star
Farindita Fardin Sinatria Research Analyst at Skha Consulting | Ex- Operations Planning | Erasmus+ Scholarship Awardee-
Greater Surabaya
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Rising Star
Muhammad Revanza Maulana Production Planning Inventory Control (PPIC) Internship at Mitra Prodin | Laboratory Asistant of QMIPA | Industrial Engineering Undergraduate-
East Java, Indonesia
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Rising Star
Lavina Fika Saniya Darma Undergraduate Student at Institut Teknologi Sepuluh Nopember Surabaya-
Malang, East Java, Indonesia
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Rising Star
Overview
Quantitative Modeling and Industrial Policy Analysis Laboratory, better known as the QMIPA laboratory. The QMIPA Laboratory was established with the aim of: - Supporting the achievement of the objectives of the Industrial Engineering Department of ITS in the field of optimizing quantitative evaluation as an alternative decision including by simulating. - Support the achievement of the objectives of the ITS Industrial Engineering department in the field of Design and Information Systems The activity held in the QMIPA Laboratory is divided into two major parts, namely routine and incidental activities. Activities carried out regularly by the QMIPA Laboratory are: - ITC (Introducing to Computer) - Industrial System Simulation Other conditional or incidental activities handled by the QMIPA lab can be divided into 3 parts based on interests: - Computer programming - Database Management - Project Management - Facility Planning To improve the ability of Information Technology, both Industrial, non-IT, corporate or industrial Engineering students are by holding computer training programs, including: - Simulation: ARENA, ProModel, Vensim, Awesim - Programming and databases: MS Project, MS Access, MS Visual Basic - Support: SPSS, Lindo, Lingo, Expert Choice, Mathlab
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