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ANALISIS UKURAN PORI BIOKOMPOSIT [SERICIN-BIOPLASTIK] PADA BERBAGAI PEMBEKUAN DENGAN METODE TAGUCHI Putra, Gaustama
Jurnal Optimalisasi Vol 3, No 5 (2017): Jurnal Optimalisasi
Publisher : Universitas Teuku Umar

Increased demand for medical materials, triggering research into alternativemedical materials. Alternative materials should have the same characteristics for the patient's body. Sericin is a protein that has biocompatible, biodegradable and other important properties. Sericin is widely used in biomedical applications, it is thought that sericin is a promising natural resource as an alternative medical material. This study analyzed pore diameter in sericin-bioplastic biocomposites by Taguchi method. Bioplastics of 3 variations of tapioca starch were 16 g, 14 g, and 10 g, mixed 80 ml of aquades and 6 ml of glycerin. Sericin was determined 0.03%, 0.1%, and 0.3% by weight of tapioca starch. The biocomposite undergoes freeze drying process and is frozen at -25oC, -45oC, and -80oC for one day. SEM test to see pore diameter and biocomposite structure. Optimal analysis was performed for optimal combinations of sericin-bioplastic biocomposites. The SEM results showed pore diameters qualified for regeneration of skin tissue on freezers C -C, F, and I -25oC biocomposites of 41.94 Î¼m, 33.416 Î¼m and 32.743 Î¼m respectively. Calculation of average response and maximum SNR at 16 g tapioca starch, 0.03% sericin and -25oC temperature. The predicted and confidence interval values for averages are large from 11,656 Î¼m and small from 54,602 Î¼m, SNR is large from 31,940 Î¼m and small from 33,642 Î¼m. The optimal experimental conditions for confirmation of large pore diameter for averages were large from 32.342 Î¼m and small from 34.206 Î¼m, large SNR of 32.342 Î¼m and small from 34.206 Î¼m.Keywords: Composition optimization, alternative medical materials, sericin- bioplastic biocomposites, Taguchi Methods, SEM

PENENTUAN JUMLAH TENAGA KERJA OPTIMAL MELALUI PENGUKURAN WAKTU BAKU DENGAN MENGGUNAKAN METODE STOPWATCH TIME STUDY PADA PEMBUATAN BATU BATA PRESS (STUDI KASUS UD. TIGA SETANGKAI KABUPATEN NAGAN RAYA) Fitriadi, Fitriadi; Putra, Gaustama; Abdullah, Ali
Jurnal Optimalisasi Vol 4, No 2 (2018): Oktober
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v4i2.1497

This study aims to determine the optimal number of workers in accordance with the needs of the company and determine the standard time needed for the brick making process. The method used in this study is the stopwatch time study method in which this method is applied to work that lasts briefly and repeatedly (repetitive. Based on the results of the study shows that the optimal amount of labor that should be employed in accordance with the needs of companies in making stone brick press at each work station that is 2 workers with details of workers at the clay excavation station labor that should be employed that is amounting to 2 people, the station put clay into the press machine labor that should be employed that is amounting to 2 people, printing station power the work that should be employed is numbered 2 people, the work station compiles the printout into the wheelbarrow the manpower that should be employed is amounting to 2 people, and the work station compiles the press bricks to the place where the workforce should be employed which is the sum 2 people where the actual number of workers is only 3 people where of the three workers concurrently doing work activities, with the addition of the workforce at each station 1 workforce is expected to achieve production targets and can meet product demand every month at UD. Three Sets of Nagan Raya Regency. The standard time needed for the clay excavation station is 54.78 minutes, the standard time required for the station to enter clay into the press is 41.43 minutes, the standard time required for the brick press molding station is 43.03 minutes, the standard time needed at the work station to compile the printed material into the wheelbarrow is 55.86 minutes, while the standard time required at the work station to compile the brick press to the drying area is 50.17 minutes.

Analisis Ukuran Batubara Menggunakan Metode Statistical Quality Control di PT. Mifa Bersaudara Putra, Gaustama; Rosalinda, Rofi
Jurnal Optimalisasi Vol 6, No 1 (2020): April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v6i1.1867

PT. Mifa Brothers are located in Peunaga Cut Ujong Village, Meureubo, West Aceh, Aceh Province, which is engaged in coal mining, which has 2 types of size, namely small size (fines coal 50 mm) and large size (lumpy coal 200 mm). The problem that occurs in this company is that coal size is often not under buyer demand, 2 types of coal size are often mixed, the coal size sampling process is still done manually and takes a long time. Therefore it is necessary to do quality control to determine the coal size control limits so that the company can directly monitor from the company control chart, to facilitate the company in improving processes that go beyond the statistical control limits. Quality control can be carried out by using statistical tools to control the proportion of errors (p-chart) of daily/individual data from coal size sampling results. In January 2019, 10 ships and 70 barges totaling 550.000 mt, so the sample units produced were 6860,1 increases (20580.2 kg), coal size mismatch data were 12592 kg, from the map control calculation of the proportion of errors obtained for P 6,11853, CL 6,1185, UCL 6,440771 and LCL 5,796223. From the results of data processing, calculation of the control map from the proportion of errors turns out that the 5th and 9th observations are outside the limits of statistical control, it is necessary to revise the final results and obtained for P 4,782038, CL 4, 782024, UCL 5,041432, LCL 4,522616.

Analisa Pengendalian Bahan Baku Menggunakan Metode Economic Order Quantity di PT. Green Enterprises Indonesia Putra, Gaustama; Rofita, Riwi
Jurnal Optimalisasi Vol 6, No 1 (2020): April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v6i1.1840

High market demand causes problems in production activities without being realized by the company. One of the problems often faced by companies in the occurrence of shortages and excess inventory of raw materials which results in the company being less productive in its production process. Good and correct management of raw materials will help smooth the production process so that consumer orders can be fulfilled with a relatively faster time. Economic Order Quantity (EOQ) is a method used to optimize the purchase of raw materials that can reduce inventory costs so that inventory efficiency in the company can run well. PT. Green Enterprises Indonesia is a coconut oil company that manufactures Virgin Coconut Oil (VOC) products. In 2018, buying 1,870 tons of raw materials with a frequency of ordering 216 times with a total cost of purchasing raw materials Rp. 3,224,558,475. Based on calculations using the EOQ method obtained for raw material needs of 1435 tons, the order frequency is 208 times with a total cost of Rp. 3,183,956,876. From the calculations it can be concluded that there are savings of raw materials as much as 435 tons, ordering frequency 8 times with savings of Rp. 40,601,599. The safety stock is 5.89 tons of coconut and the Re-Order Point is 25.36 tons of coconut.

Perancangan Fasilitas Kerja pada Operator Menggunakan Metode SNQ dan REBA dengan Software Ergofellow Fitriadi, Fitriadi; Putra, Gaustama; Avina, Avina
Jurnal Optimalisasi Vol 7, No 2 (2021): Oktober
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v7i2.4434

Agam Teknik is a business that produces dump trucks, where at the iron plate cutting site there are no work facilities that support operators in carrying out their work activities which result in complaints of skeletal muscles. In the production process activities, it was found that there were semi-automatic activities, namely the process of cutting iron plates using a welding torch on the floor so that the operator worked in a squatting state, bent knees and ankles, raised shoulders and bent body so that the work posture experienced by the operator was not ergonomic. The aims of this study were (1) to identify complaints of musculoskeletal disorders experienced by dump truck manufacturing operators using the Standard Nordic Quistionaire (SNQ), (2) to determine the value of the operator's work posture using the REBA method with the help of Ergofellow Software, and (3) to design ergonomic work facilities. SNQ is a method used to identify the source of muscle fatigue at work, while the REBA method is used to determine risk factors related to overall body posture at work. The tool used is Ergofellow Software which serves to analyze quickly and easily in terms of postural. The results of the identification of operator complaints during the dump truck manufacturing process, obtained two work stations where the operator felt very sick and painful complaints, namely at the cutting station and pressing the iron plate. Based on the identification results obtained eight operator complaints, namely extreme pain and pain including pain in the left and right shoulders, neck pain, left upper arm pain, back pain, left hand pain, right knee pain, left calf pain, and pain in the right leg. Recommendations from these conditions are to design an iron plate cutting work facility with the addition of a table for cutting iron plates, and to redesign the iron plate pressing station by adjusting the press tool used by the operator for pressing iron plates.

Peramalan Kebutuhan Batubara Menggunakan Metode Single Exponential Smoothing di PT. Solusi Bangun Andalas Gaustama Putra; Ari Rasyid Maulud
Jurnal Optimalisasi Vol 6, No 2 (2020): Oktober
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v6i2.2616

PT. Solusi Bangun Andalas (SBA) is one of the cement producers in Indonesia with a current production capacity of 1.6 million tons per year. Coal is the main raw material used to produce electrical energy and the combustion process at PT. Andalas Build Solutions which were imported through several suppliers. The problem that occurs is the fluctuation in the use of raw materials that is not regular becomes an obstacle in the planning of fuel procurement for the company. Errors in planning the procurement of raw materials can result in excess or shortage of inventory. Excess raw materials cause several problems, such as the company has to provide more storage space and incur additional costs for storage and maintenance so that the quality of raw materials is maintained. The problem of raw material needs can be overcome by forecasting fuel consumption needs for the following month using the Single Exponential Smoothing method. From calculations using the Single Exponential Smoothing method with α = 0.1 for kiln units, the Mean Absolute Deviation is 2286.21, the Mean Squared Error is 7,850,751.46, and the Mean Absolute Percentage Error is 26.88%. For power plant units α = 0.5 Mean Absolute Deviation is 2367.05, Mean Squared Error is 9,001,707,06, and Mean Absolute Percentage Error is 18.35%. Meanwhile, the raw material needs in the next period are 10,057.49 tons for Kiln units and 14,265 tons for power plant units.

PENILAIAN POSTUR KERJA OPERATOR PACKAGING PABRIK DX PT. BRIDGESTONE SUMATRA RUBBER ESTATE Gaustama Putra; Suci Ayu Lestari
Jurnal Optimalisasi Vol 5, No 2 (2019): Oktober
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v5i2.1329

The role of labor is an important factor in industrial activity because it affects the quality and quantity of output produced products. When doing activities, there is an interaction between the operator and the machine used. Knowing the operator's work posture to see the suitability when there is an interaction between work and work equipment used. Thus we can find out how the operator works correctly or not so that the level of fatigue, risk of illness, or even work accidents can be minimized to a minimum. In this study the RULA and REBA methods are used to assess the operator's work posture and get conclusions from the results of the work posture assessment in order to provide an idea of the right attitude and work position for the operator to avoid the risk of accidents and fatal fatigue in the packaging section of the factory processing department DX at PT. Bridgestone Sumatra Rubber Estate. Using the RULA method, the main score from the operator's work posture checks the surface contamination of bale 6 and the bale wrapping with plastic bags is 7, for the REBA method the operator of surface contamination bale 6 checks 10 and the bale wrapping operator with plastic bags is 8. From the grand value of RULA and REBA levels of risk of musculoskeletal disorders caused are at a high level so that further evaluation and corrective action are required.

Analisis Ukuran Batubara Menggunakan Metode Statistical Quality Control di PT. Mifa Bersaudara Gaustama Putra; Rofi Rosalinda
Jurnal Optimalisasi Vol 6, No 1 (2020): April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v6i1.1867

PT. Mifa Brothers are located in Peunaga Cut Ujong Village, Meureubo, West Aceh, Aceh Province, which is engaged in coal mining, which has 2 types of size, namely small size (fines coal 50 mm) and large size (lumpy coal 200 mm). The problem that occurs in this company is that coal size is often not under buyer demand, 2 types of coal size are often mixed, the coal size sampling process is still done manually and takes a long time. Therefore it is necessary to do quality control to determine the coal size control limits so that the company can directly monitor from the company control chart, to facilitate the company in improving processes that go beyond the statistical control limits. Quality control can be carried out by using statistical tools to control the proportion of errors (p-chart) of daily/individual data from coal size sampling results. In January 2019, 10 ships and 70 barges totaling 550.000 mt, so the sample units produced were 6860,1 increases (20580.2 kg), coal size mismatch data were 12592 kg, from the map control calculation of the proportion of errors obtained for P 6,11853, CL 6,1185, UCL 6,440771 and LCL 5,796223. From the results of data processing, calculation of the control map from the proportion of errors turns out that the 5th and 9th observations are outside the limits of statistical control, it is necessary to revise the final results and obtained for P 4,782038, CL 4, 782024, UCL 5,041432, LCL 4,522616.

Analisis Beban Kerja pada Operator Bagian Produksi dengan Menggunakan Metode NASA-TLX (Task Load Index) di PT. Ujong Neubok Dalam Reji Jaya Putra; Gaustama Putra
Jurnal Optimalisasi Vol 7, No 2 (2021): Oktober
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v7i2.4352

Operator workload in a company can be grouped into low or high workloads. Operators feel the workload is low if each activity is carried out easily and safely so that it does not exceed the operator's capabilities. Meanwhile, a heavy workload is felt when the work exceeds the operator's ability limit which can cause fatigue and work accidents. PT Ujong Neubok Dalam is a company that produces Crude Palm Oil (CPO) and kernels. In the production section, there are workstations such as loading rump, sterilization, digester and press, clarification, and others. The production target is 270 tons/day of Fresh Fruit Bunches (FFB) which are produced into CPO. The demand for production targets resulted in complaints and discomfort felt by the production department operator. The purpose of this study was to analyze the workload and workload indicators of production operators using the NASA-TLX method. From the calculation results of 17 operators, the mental workload that is classified as high is felt by 7 operators with an average Weighted Workload (WWL) of 81-89, while 10 operators are classified as high mental workloads with a WWL value of 78-67. Of the 6 NASA-TLX indicators, 3 indicators have the highest mental workload values, namely physical needs (KF), effort (U), and work performance (PK) with details of the average value of 248 - 260.

Analisa Pengendalian Bahan Baku Menggunakan Metode Economic Order Quantity di PT. Green Enterprises Indonesia Gaustama Putra; Riwi Rofita
Jurnal Optimalisasi Vol 6, No 1 (2020): April
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v6i1.1840

High market demand causes problems in production activities without being realized by the company. One of the problems often faced by companies in the occurrence of shortages and excess inventory of raw materials which results in the company being less productive in its production process. Good and correct management of raw materials will help smooth the production process so that consumer orders can be fulfilled with a relatively faster time. Economic Order Quantity (EOQ) is a method used to optimize the purchase of raw materials that can reduce inventory costs so that inventory efficiency in the company can run well. PT. Green Enterprises Indonesia is a coconut oil company that manufactures Virgin Coconut Oil (VOC) products. In 2018, buying 1,870 tons of raw materials with a frequency of ordering 216 times with a total cost of purchasing raw materials Rp. 3,224,558,475. Based on calculations using the EOQ method obtained for raw material needs of 1435 tons, the order frequency is 208 times with a total cost of Rp. 3,183,956,876. From the calculations it can be concluded that there are savings of raw materials as much as 435 tons, ordering frequency 8 times with savings of Rp. 40,601,599. The safety stock is 5.89 tons of coconut and the Re-Order Point is 25.36 tons of coconut.

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