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Journal : Sinergi

THE EVALUATION OF EIGHT PILLARS TOTAL PRODUCTIVE MAINTENANCE (TPM) IMPLEMENTATION AND THEIR IMPACT ON OVERALL EQUIPMENT EFFECTIVENESS (OEE) AND WASTE Herry Agung Prabowo; Yudha Bobby Suprapto; Farida Farida
SINERGI Vol 22, No 1 (2018)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (340.103 KB) | DOI: 10.22441/sinergi.2018.1.003

Abstract

In this global era where the level of competition is higher, in addition to the influence of the suitable marketing strategy is also required strategy from the side of production/productivity. PT. XYZ is a company engaged in the manufacturing of snacks especially biscuits. The problem that often occurs in this company is the number of biscuits that are not in accordance with the standard and the production does not reach the target set because the machine suddenly breaks down frequently. To overcome the problems PT. XYZ then choose to implement the Total Productive Maintenance (TPM) strategy. This study aims to evaluate the implementation of 8 TPM Pillars and measure the effects on manufacturing performance in the form of Overall Equipment Effectiveness (OEE) and Waste. This study uses questionnaire-based survey method. The number of samples distributed is 40 units. Which returned and filled 33 questionnaires and which is worth to be processed as many as 30 samples. Then tested the validity and reliability of data using SPSS program. Validity critical value R = 0.361 for n = 30 and error rate 5%. For reliability test, R value = 0.60 was selected. From the validity test, there are 7 items of questions that are not valid so it is not included in the next process. For the reliability test of the questionnaire is quite reliable with the value of Cronbach's alpha of 0.811. From the CFA analysis, only 6 of 8 TPM pillars are significant while for manufacturing performance only OEE variable is significant. Correlation between 8 Pillars of TPM and manufacturing performance is Strong enough with a value of R = 0.862, which also means 74.3% (R2) variable manufacturing performance can be explained/influenced by variable 8 Pillar TPM and 26.7% the rest by other variables.
POTASSIUM-INTERCALATED MANGANESE DIOXIDE AS LITHIUM-ION BATTERY CATHODES: A DENSITY FUNCTIONAL THEORY STUDY Agus Ismail; Herry Agung Prabowo; Muhammad Hilmy Alfaruqi
SINERGI Vol 23, No 1 (2019)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (499.64 KB) | DOI: 10.22441/sinergi.2019.1.008

Abstract

It is obvious to harness the intermittent renewable energy resources, energy storage applications, such as a lithium-ion battery, are very important. α‒type MnO2 is considered as an attractive cathode material for lithium-ion battery due to its relatively large (2 × 2) tunnel structure, remarkable discharge capacity, low cost, and environmental benignity. However, low intrinsic electronic conductivity of α‒type MnO2 limits its full utilization as a cathode for a lithium-ion battery. Therefore, studies to enhance the α‒type MnO2 properties are undoubted of great interest. While previous computational studies have been focused on pristine α‒type MnO2, in the present report, we present the theoretical research on potassium-intercalated α‒type MnO2 using first principle Density Functional Theory calculations for the first time. Our results showed that potassium-intercalated α‒type MnO2 improved the electronic conductivity which beneficial for energy storage application. The structural transformation of potassium-intercalated α‒type MnO2 upon lithium insertion are also discussed. Our results may open the avenue for further utilization of potassium-intercalated α‒type MnO2 materials for not only the lithium-ion battery but also other type energy storage systems.
The model selection of propeller turbine construction using Analytical Hierarchy Process (AHP) Dedi Wardianto; Mafrizal Mafrizal; Sufiyanto Sufiyanto; Rudi Kurniawan Arief; Herry Agung Prabowo; Irfan Hilmy
SINERGI Vol 27, No 3 (2023)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2023.3.007

Abstract

This study aimed to develop an innovative propeller turbine design to facilitate easy manufacturing and maintenance processes, leading to a reduction in costs. Furthermore, the Analytical Hierarchy Process (AHP) method was employed to identify the most optimal model and design for the propeller turbine. Problem-solving within the AHP framework was guided by three fundamental principles, namely decomposition, Comparative Judgment, and Logical Consistency. The procedure included problem decomposition, assessment/ weighting to compare elements, matrix preparation and consistency testing, setting priorities for each hierarchy, priority synthesis, and decision-making. To establish a benchmark, three types of propeller turbines currently available in the market served as references. Meanwhile, the selection criteria for the model were based on several factors, including power factor, time efficiency, ease of manufacture, as well as production and maintenance costs. Considering the criteria, modifications were made to these reference models, resulting in the development of alternatives, denoted as A, B, and C. The results showed that alternative type A as the most suitable choice for further development. Therefore, this particular design was granted foremost priority to develop a low-head generator that possessed ease of manufacturing and surpassed alternative models in terms of feasibility.