Browsing by Author "Anwar, Asep"

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    3D PRINT COVID-19 MASK DESIGN SELECTION USING ANALYTICAL HIERARCHY PROCESS
    (Solid State Technology Volume: 63 Issue: 3, 2020) Rochman, Didit Damur; Anwar, Asep; Margana, Riki; Ferdian, Rendiyatna
    The number of Covid-19 patient in Indonesia is increasing and requires attention form the ruling government with the adequate health facilities to cater the needs of the people. This research study on the mask design selection that is suitable to control the infection of the deadly disease. The obedience of the community to wear the suitable mask was found to be low and to curb this conditions, a study has been conducted to evaluate the usage of 3D print COVID-19 product design masks in the Indonesian society.
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    ANALYSIS OF ADVANCED AND DEVELOPING COUNTRIES USING CLUSTER ANALYSIS METHOD: Asian Countries
    (Solid State Technology Volume: 63 Issue: 3, 2020) Ferdian, Rendiyatna; Rochman, Didit Damur; Anwar, Asep
    The position of a country can determine the views of investors to determine the investment to be made. Currently, the grouping of countries is usually based only on economic factors, this makes other aspects outside the economy unimportant. The purpose of this research is to see the position of a country by using economic and non-economic aspects. It is hoped that using other aspects besides the economy can better position the country. The data used is data from the World Bank in 2018 by taking a sample of 43 countries in the Asian region. Some of the indicators used include Population Growth, Incident of Tuberculosis, Death and Birth Rate, and so on. Grouping is done using 3 scenarios, namely grouping into 2, 3, and 4 groups. The method used is clustering with the K-Means Clustering method. The results obtained showed that using 4 groups resulted in a clustering accuracy rate of 88.37%. These results certainly cannot be used as an absolute benchmark for grouping a country, but it can describe the country's position quite well.
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    DETERMINATION OF PRODUCTION FORECASTING METHOD USING NAÏVE, SINGLE MOVING AVERAGE, EXPONENTIAL SMOOTHING IN PRODUCTION PLANNING (Case Study: PT X Sparepart Automotive Manufacturing)
    (Solid State Technology Volume: 63 Issue: 3, 2020) Anwar, Asep; Ferdian, Rendiyatna; Rochman, Didit Damur
    The pattern of demand from consumers is one of the bases for planning in a company. Determining the right demand by a company will help in planning the company to meet consumer needs. The method used in determining the prediction of demand is using forecasting methods, because using forecasting methods will help companies to minimize uncertainty about consumer demand patterns. PT X is a company engaged in the production of automotive spare parts, which is currently having difficulty predicting the needs of consumers. This study aims to provide recommendations for the use of forecasting methods that are in accordance with existing data in company X. The methods used in this study are naïve methods, moving averages, and exponential smoothing. The calculation process will use the pom qm software. From the results of this study, it turns out that the method that can be recommended to be implemented in company x is a naïve method with the smallest error value compared to the error results of other forecasting methods.
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    IMPLEMENTATION X AND R CONTROL CHART AT PT. GRAND TEXTILE INDUSTRY
    (Universitas Widyatama, 2009-12-10) Anwar, Asep; Rochman, Didit Damur
    It can be known by using of the X and R control charts a limitation of quality control for permitted or standardized yarn uneveness. After data processing of quality control by Trial Control Limit method, where preceeding period is made use as reference of quality limitation that would be implemented on succeeding period. It is obtained a control limit for RSCD7T yarn unevenness as 8.990.45 (in % units). After its implementation on succeeding period, then it was understood that there are still some data out of control limit that is furthermore analyzed. Results of analysis show that product possibility to defect is 8.13% from total production, consequently it is necessary to make any corrective action, and such correction must be conducted on Engineering Department, Human Resource Department, Production (Scheduling) Department, Raw Material QC Department, and Department of Facility.
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    MAKE OR BUY: Case Study of 3D Printing Spare Parts Adoption
    (International Journal of Psychosocial Rehabilitation, Vol.24, Issue 02, 2020) Rochman, Didit Damur; Anwar, Asep
    3d printing technology open up possibility of manufacturing industry to make own spare parts for machinery instead procure to vendors. Limitation of 3d printed spare parts mostly on physical characteristics have to get attention and assessment of spare parts that can be printed are presented. In this paper also discussed factor-factor as framework to help make decision on should a company make 3d print parts or buying from vendors. Case study on three companies at textiles, pharmaceuticals and machining sectors found that adoption of 3d print technology to make spare parts for their operation is inevitable as long as low volume and frequency and at cost 40-60% of buying products. Major risk that face using 3d print are reliability and quality products at initial period adoption, and eventualy will decrease as gaining more knowledge on implementation time.
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    MODEL HYBRID FLOWSHOP 2 STAGE WITH JOHNSON’S RULE DISPACTHING TO MINIMIZE MAKESPAN
    (International Journal of Psychosocial Rehabilitation, Vol.24, Issue 02, 2020) Anwar, Asep; Rochman, Didit Damur; Rahmana, Arief
    Hybrid Flowshop (HFS) is a development scheduling model of flowshop scheduling problems. Currently PT. XX which is a manufacturing company that produces MT (Mono Twine) mesh products using the HFS production concept. The HFS process at PT XX is the Ringrope (Stage 1) and Netting (Stage 2) process. The Ringrope process consists of 2 machines arranged in parallel which then the results will be processed Netting. The settlement method in this research is the optimization method by making a mathematical model by sorting using the Johnson method. The results of the study showed the sequence of processes on stage 1 and on stage 2 with makespan was 1354.51 hours.
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    STUDY OF POTENTIAL GROUNDWATER AQUIFERS WITH SCHLUMBERGER CONFIGURATION GEO-ELECTRIC METHOD IN PALANGGAI VILLAGE EAST SUMBA REGENCY
    (International journal of innovation, creativity and change, 2019) Siddiq, Raden Herdian Bayu Ash; Anwar, Asep
    earth. The presence of groundwater is not evenly distributed for every place and is strongly related to its geological and geohydrological conditions. The research location is in Palanggai Village, East Sumba Regency, East Nusa Tenggara Province. Monthly rainfall according to BMKG climatology data in 2005 - 2013 was highest in December, which was 176.78 mm and the lowest was in August at 0.44 mm. This research was conducted to find out about the subsurface layer. Existing groundwater or aquifer carriers are using the geo-electric approach of the Schlumberger method. From the results of the study it can be concluded that (1) geo-electric estimation has been able to provide an overview of the state of the rock layers both vertically and laterally, (2) hydrogeological conditions in the investigation area, including aquifer systems with small to moderate productivity and is widespread, (3) rocks which are expected to be able to act as a limestone and limestone sand aquifer, (4) From the results of a geo-electric estimation investigation, it can be seen that the aquifer layer is found in depths ranging from 10-110m.