MOVING AVERAGE COMPARISON AND PROJECTION TREND AS A PRODUCTION PLANNING MEASUREMENT AT UD. MAYONG SARI PROBOLINGGO

Yayuk Indah Wahyuning Tyas, Tumini Tumini

Abstract


The research was conducted on the company UD. Mayong Sari Probolinggo with the aim of knowing the comparison of forecasting calculations using a moving average and trend projection as a measuring tool in production planning. This type of research is descriptive quantitative. Quantitative descriptive is a report that is an explanation and reference to describe what is stated in the research. The results showed that the value of MAD(Mean Absolute Deviation)trend projection amounting to 6,390,887and MSE (Mean Square Error)trend projection amounting to 274,523,957while MAD moving average  amounting to 76,222.91, and MSE moving average amounting to 273,838,079.3, so companies better use moving average because when viewed from the comparison of MAD (Mean Absolute Deviation) and MSE, the value of MAD and MSE trend projection has a smaller error rate than MAD and MSE trend projection. So it can be concluded that the moving average method should be used in planning bread production at UD. MAYONG SARI PROBOLINGGO

Keywords


Production Planning, Forecasting, Moving Average & Trend Projection

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References


Ardiyanto, Novel. 2009. Thesis. Analysis of Forecasting Demand for Television Table Products at PT. Art Furniture Boyolali. Sebelas Maret University. Surakarta.

Arifin, Zainal. 2014. New Educational Research Methods and Paradigms. Bandung: PT. Rosdakarya youth.

Arimbawa, Ida Bagus Kade et al. 2013.ANFIS method comparison and fuzzy time series for forecasting the number of Australian tourists to Bali. Udayana University, Bukit Jimbaran-Bali. E-Journal of Mathematics Vol. 2, No.2, May 2013, 18-26 ISSN: 2303-1751.

Fahmi, Irfam. 2016. Production and Operations Management. Bandung: Alfabeta.

Gitosudarmo, H. Indriyo. 2009. Operations Management Edition 3. Yogyakarta: BPFE.

Handoko, T. Hani. 2012. Basics of Production and Operations Management. Yogyakarta: BPFE.

Heizer, Jay and Barry Render. 2017. Operations Management Continuity Management and Supply Chain Management. Jakarta: Selemba Four.

Nugraha, Eucharistia Yacoba and Wayan Suletra. 2017.Analysis of the Best Demand Forecasting Method for Oxycan Products at PT. Samato. Sebelas Maret University Surakarta. Journal of ISSN 2017 IDEC National Seminars and Conferences: 2579-6429.

Sinulingga, Sukaria. 2009. Planning and Production Control. Yogyakarta: Graha Science.

Soeparno. 2009. Forecasting Analysis and Management Decisions. Jakarta: Selemba Four.

Soewadji, Jusuf. 2012. Introduction to Research Methodology. Jakarta: Mitra Wacana Media.

Sofyan, Diana Khairani. 2013. Production Planning and Control. Yogyakarta: Graha Science.

Sugiyono. 2017. Quantitative, Qualitative, and R & D Research Methods. Bandung: Alfabeta.

Sunyoto, Danang. 2011. Research Methodology for Economics. Yogyakarta: CAPS (Center for Academic Publishing Service).

______________. 2013. Theory, Questionnaires, and Organizational Behavior Data Analysis Process. Yogyakarta: CAPS (Center for Academic Publishing Service).

Wahyani, Widhy and Achmad Syaichu. 2017. Application of forecasting method as a tool to determine production planning at PT. SKK.Muhammadiyah University Sidoarjo. Journal Industry Spectrum, 2017, Vol. 13, No. 2, 115 - 228 ISSN: 1963-6590.

Wibowo, Indra. 2010. Thesis. Analysis of Forecasting Sales of Golden Cigarettes at PT. Djitoe Tobacco Coy Surakarta. Sebelas Maret University.




DOI: https://doi.org/10.33758/mbi.v15i4.968

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