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The aim of this paper is to develop a multi-criteria decision making based on the Fuzzy Analytical Hierarchy Process (Fuzzy AHP) to select the best maintenance strategy for a spinning mill industry. The maintenance process can enhance reliability, quality of the products, cost, and other aspects. Therefore, the selection of appropriate maintenance strategies is a critical issue for manufacturers. Fuzzy AHP approach is proposed as the selection problem includes uncertainties and difficulty in evaluating alternatives and criteria with definite expressions. The process of decision making involves the comparison of three alternatives of feasible maintenance strategy which are corrective maintenance, periodic maintenance, and predictive maintenance. Each alternative is evaluated against criteria according to the priorities of the decision-makers. The criteria are feasibility, cost, reliability, safety and production quality. The result shows that reliability is the most important criterion with the weight of 0.309, followed by safety (0.235), quality (0.193), cost (0.190), and feasibility (0.074). Periodic maintenance has the highest alternative with a total score of 0.423 and it is ranked first, predictive maintenance is ranked second with a score of 0.355, and corrective maintenance has the lowest rank with a score of 0.222. According to the results, periodic maintenance is chosen as the best maintenance strategy. Finally, the proposed method is successfully applicable in maintenance strategy selection.

Nama Prosiding

IOP Conf. Series: Materials Science and Engineering
Volume 879 Nomor -

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https://iopscience.iop.org/article/10.1088/1757-899X/879/1/012171/meta

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Information Technology Management Application In The Food Service Bussiness In The Globalization Era

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Dr. Surtikanti, S.E., M.Si., Ak., CA

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Architecture And Design In The Digital Age

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Irwan Tarmawan, S.Sn., M.Ds

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This paper aims to identify the existence of emerging trends in contemporary architecture called digital architecture. Based on the latest literature on the intensive use of Information and Communication Technology (ICT) in Indonesian architectural practices, the article shows how this technology change people's behavior in the past decade has contributed to a real revolution in this field by building a new paradigm of conceptualizing, developing and implementing architectural products. This study used descriptive method to present a complete picture of social settings or intended for exploration and clarification of a phenomenon or social reality by describing a number of variables relating to the problem and the unit under study between the phenomena tested. The result of this study showed the importance of updating project professionals in the field of digital technology and a thorough review of the architecture school curriculum in the sense of removing the applied computer.

Nama Prosiding

IOP Conference Series: Materials Science and Engineering
Volume 879 Nomor 0

URL

https://doi.org/10.1088/1757-899X/879/1/012150

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Data Mining In Sales Data Grouping

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Supriyati, S.E., M.Si., Ak., CA., ASEAN CPA., C.PI., CIAP.

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The purpose of making data mining is to make sales data neatly organized and based on sales data can see sales potential that can increase company profits. Selling goods requires a new method for analyzing data in sales and data mining is one way to analyze sales data created in an increasingly advanced business world. This study used a qualitative method and data collection techniques using literature reviews and observations with secondary data types. The results of this study are when processing data, there are many ways in data processing both in terms of data and in terms of processing. The compilation in subsequent processing becomes information that is easy to read and the data becomes the beginning of the information that we previously processed from several existing methods and data developed into information that is easy to read.

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IOP Conference Series: Materials Science and Engineering
Volume - Nomor -

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https://iopscience.iop.org/article/10.1088/1757-899X/879/1/012116/meta

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https://doi.org/10.1088/1757-899X/879/1/012116

Smart City And Its Application

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Inggar Prayoga, S.I.Kom., M.I.Kom

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https://iopscience.iop.org/article/10.1088/1757-899X/879/1/012002

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Bentuk Fasade Gereja Protestan Di Kota Bandung

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Dr. Salmon Priaji Martana, S.T., M.T.

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Forecasting The Number Of Outpatient Patient Visits Using The Arima, Ses And Holt-Winters Methods At Xyz Community Health Center

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Irfan Dwiguna Sumitra, S.Kom., M.Kom. Ph.D

Abstrak

The purpose of the research is to find out the visiting patient at the community health center. This research is Forecasting used the ARIMA method, Single Exponential Smoothing, and Holt-Winters, which are very suitable for processing data that is time series as in outpatient visits. The data from outpatients is patient visits for five years from January 2014 to December 2018 where outpatient data were taken from the total number of outpatient visits from visit data categories: General, Clinic, BPJS, Non-BPJS (SKM ), Non-BPJS (Gakinda) List of new patients and the list of patients who were then predicted the level of patient visits during the next two years, namely from January 2019 to December 2020. This study compared the best method among the three-time series methods. The forecast compared with actual data to see accuracy and find out which Forecast is best. The final results show that the MAPE value of the ARIMA method for patient visit data is worth 22.55%, the Single Exponential Smoothing method is worth 9.74%, and the Holt-Winters method is worth 7.90%. It can be said that the smallest error value is Holt-Winters from patient visit data with MAPE 7.90%, which is said to be an excellent Forecasting category by producing a total value of Forecast = 53894.2 with an average monthly = 2245.59 for Forecasting for the next two years. This monthly average result is used as a reference for the number of visitors who come for each month around 2245 people after that the last step taken is to make a strategic design using the SWOT analysis technique combined with prediction results using the Holt-Winters method in getting a conclusion that can make documents which is only around 2245 documents/person, especially outpatient data for problem solutions that occur at public health centers.

Nama Prosiding

IOP Conference Series: Materials Science and Engineering
Volume - Nomor -

URL

https://iopscience.iop.org/article/10.1088/1757-899X/879/1/012060/meta

DOI

https://doi.org/10.1088/1757-899X/879/1/012060

Data Prosiding - Tahun 2020

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