Metris: Jurnal Sains dan Teknologi
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Experimental Tests of Effect of Vertical Lifting Height, Horizontal Distance, and Weight Load Lifting Method on Muscle Activation Value Generated Using Electromyography
No full textIn industry, manual lifting activities certainly involve muscles and generate risks if done improperly. There are problems in the form of complaints from industrial workers on manual lifting activities that are carried out in a less ergonomic manner. This study aims to determine the effect of lifting factor variables on the resulting level of muscle activation. In this case, three factors are used, namely the lifting method factor, the horizontal distance factor, and the vertical distance factor, each of which has two factor levels to produce eight combinations of lifting factors. Randomization was carried out on research subjects totalling 10 people. Previous research that has been done manually is by calculating the pulse resulting from a lifting activity according to a specified frequency. In this study, monitoring of muscle activity was carried out automatically using an instrument called Electromyography (EMG) at three points of the hand muscles, namely the biceps brachii muscle, triceps brachii muscle, and brachioradialis muscle. The results of this study indicate the best combination based on the value of muscle activation on the biceps brachii muscle, triceps brachii muscle, and brachioradialis muscle which respectively include combination 2 (M1-H2-V1) with a significance value of 0.002, combination 6 (M2-H2 -V1) with a significance value of 0.000 and combination 2 (M1-H2-V1) with a significance value of 0.013. The resulting combination of the best lifting factors can be used as a reference and recommendations for the ideal lifting posture and conditions for workers in minimizing possible injurie
Safety Stock Placement Pada Perusahaan Farmasi Menggunakan Pendekatan Guaranteed-Service Dalam Jaringan Fasilitas Produksi
Get PDFThis study aims to understand the supply chain strategy of pharmaceutical companies, logistics drivers (facilities, inventory, and transportation), and cross-functional drivers (information, sources, and prices), as well as the problem of placing safety stock for assembly, using an integer linear approximation program using CPLEX to get the results and perform a sensitivity analysis. In this way, the effect of various parameters on total safety stock and service time can be estimated. Pharmaceutical companies can find strategic ways to align their goals with this method. The company already has an optimal supply chain focused on product quality, short response times, and product availability. In addition, it can minimize the total cost of safety inventory by using a piecewise linearization approach with a total assembly cost of Rp. 6,161,120,000, where safety stock is stored in stages 2-4, 7-14, 16, and 22, where 22 has the highest stage costs. Then a sensitivity analysis is carried out by allowing the parameters to vary, the more segments' total cost becomes stable. Furthermore, the relationship between the factors of safety, storage costs, and standard deviation is linear
Penjadwalan staf PT. Adi Sarana Logistik Divisi Outbound Unit Picker dan Dispatcher berdasarkan Minimisasi Jam lembur
Get PDFPT. Adi Sarana Logistik (PT ASL) is a company engaged in the warehouse and logistics sector, which delivers many packages daily. Previously, manual scheduling took a long time, and there were violations of working hours regulations. The research was conducted at the outbound division, in picker and dispatcher units for leaders and operational staff, where the number of operational staff varies each month, so there are four schedules were produced where this study aims to minimize overtime hours for each level of staffs and units by Goal Programming and Binary Integer Programming which are completed with LINGO 18.0. The results of this study have been implemented in the company, where the schedule only takes a few seconds, while previously, it took 1-2 days. The scheduling carried out in this study is in October 2022, where all employees for leaders and staff in each unit have 22 working days, nine days off, 1 hour of overtime, and follow the rules
Optimalisasi Rute Pengiriman Dengan Meminimasi Jarak Menggunakan Saving Matrix: Sebuah Studi Kasus
No full textCV. X is a pillows and bolsters manufacturer in Surabaya. The current deliverystrategy is a single route using limited-capacity vehicles. Single route deliverymakes low % utilization or multiple deliveries to the same customer daily. Thepurpose of this case study is to find the minimum cost route with a specificvehicle and limited capacity using the Saving Matrix method and make asuggestion by creating an SOP for product delivery. After calculating the pastdata from July to September 2022, a distance savings of 12.11 km was obtained,and the highest savings in the number of transport vehicles was 2. In addition,there was a 20% increase in truck utilization.
Perbandingan Kuat Tekan Benda Uji Beton Geopolimer Dalam Skala Laboratorium Menggunakan Bahan Prekursor Yang Berbeda
Get PDFThis study aimed to compare the compressive strength of various concrete brick compositions made from geopolymers using different clay precursors, including Pejaten clay (PJT), Darmasaba clay (DSB), Waste Tile clay (LG), and dam sediment clay (DAM). Laboratory tests were carried out after 7 days of curing, and the results showed that PJT was the most suitable precursor material for producing geopolymer-based concrete formulas that meet the requirements for solid brick concrete quality class I, with an average compressive strength of 119,926 kg/cm2. The average value of SNI requirements is at least 100 kg/cm2 based on SNI 03-0349-1989 for physical requirement quality standart of concrete bricks. DSB had a compressive strength of 88,808 kg/cm2 and was classified as class II, followed by LG with a compressive strength of 76,366 kg/cm2 and DAM with an average compressive strength of 70.71 kg/cm2, both of which belong to class II. These findings provide valuable insights into the use of different clay precursors for the production of high-quality concrete bricks
Analisis Kelelahan Kerja Menggunakan Fatigue Assessment Scale pada PT. Indonesia Power Priok POMU
Get PDFWork fatigue is an important problem that must be handled properly because it can cause various problems, as fatigue is a major cause of work-related injuries and impacts productivity. Measure the level of fatigue of these workers will be carried out using the Fatigue Assessment Scale (FAS), a subjective fatigue measurement tool based on a questionnaire that is most appropriate for measuring the level of fatigue in workers. FAS has been rated as very reliable for measuring worker fatigue. The FAS consists of 10 questions examining physical and mental fatigue and their impact on activity motivation. If fatigue is not paid attention to, it will have an impact not only on the company but also on the workers themselves, ranging from causing work accidents to illnesses. Based on the calculations that have been done for the average answer to the Fatigue Assessment Scale (FAS) questionnaire, in this case, the highest average holder has represented physical and mental fatigue, number 4 represents physical fatigue, and number 10 represents mental fatigue. and based on the calculation results in the Likert scale, which gets an index of 97.7%, this indicates that for the level of fatigue itself, PT. Indonesia Power Priok POMU can be categorized as Very Good. Do not experience excessive work fatigue, and the workload does not exceed the workers' capabilitie
The Application of Sentiment Analysis on Customers Responses in Social Media (Case Study: Indihome and First Media Internet Service Provider)
Get PDFThe development of technology in industry 4.0 era leads to a digitalization process which is marked by the emergence of the internet as one of the important enablers. Indihome and Firstmedia are the most popular Internet Service Providers) ISPs in Indonesia in providing internet services. These two companies certainly have competition in winning the hearts of customers. One of the important factors in this business competition is customer response in the form of reviews which are usually done through social media tools such as Twitter. For this reason, it is important to study how the customer responds in the form of a given sentiment. Sentiment analysis can be a way to study customer responses to products and services. Sentiment Analysis is a method that is part of Big Data in Data Science which is useful for assessing sentiment in the form of positive or negative sentiments. The data collected was 1000 tweets for each ISP which will be processed with the help of Rstudio. The processing results obtained 177 positive tweets, 489 neutral, and 334 negative tweets for indihome while firstmedia obtained 620 positive tweets, 222 neutral tweets, and 158 negative tweets. The result is firstmedia ISPs get a better positive response and the number of complaints is less than indihome. Internet service providers (ISPs) can improve product and service quality by creating a single database system and also implementing the service design blueprint
Upaya Peningkatan Kualitas dengan Menggunakan Analisis Siklus PDCA pada Perusahaan Otomotif
Get PDFAbstract
In this era of globalization, the competition in the automotive industry is getting more challenging, and consumer demands are also continually increasing. This is what encourages the automotive industry to make products as perfect as possible, one of which is minimizing the level of defects in their production lines. By reducing defects, the process will flow faster without going through the repair process. But in actuality, there are still defects found in the poses of its production. This research was conducted in the welding process in the automotive industry. This paper aims to identify defects in the welding production process in the automotive industry. Then analyze the most dominant defect, find the root cause, and improve. This study uses the PDCA cycle method. The PDCA cycle is a continuous improvement model consisting of four sequential components, Plan, Do, Check, and Action. The results of this study identified five major defects in the welding process: hole nut not centered, dents, NG stud bolts, NG parts, and non-stick spots. The average defect per month is 110 defects, and the dominant defect is the non-centered nut hole of 63.8 defects (58%). The root cause is when the part setting stopper position is unstable. The improvement made is adding a locator pin cylinder hole nut to stabilize the position. The results of this improvement can reduce welding defects to 58.5 defects per month, and the average defect hole nut is not centered by 3.5 defects (6%). So the PDCA cycle is very effective in efforts to improve product quality.
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Keyword : PDCA, Plan-Do-Check-Action, continuous improvement, kaizen, defects
Stock Price Prediction Using Formula From Data Scale Analysis Extrapolation Method
Get PDFPublic awareness about stocks is increasing every year. This needs to be balanced with advances in science to help investors make more measurable and systematic decisions. The purpose of this study is to apply Extrapolation of Data Scale Analysis (DSA) in predicting stock prices. The DSA Extrapolation method will produce a new formula called JIC-FLY 3 which is used to process big data in predicting prices at a certain time. The population in this study is the share price of the telecommunications sub-sector with EXCL (PT XL Axiata Tbk.) as a sample. The error value measurement method used is the Mean Absolute Percentage Error (MAPE). The result of this study is that the DSA 19 extrapolation method using the JIC-FLY 3 formula is able to predict the share price of the telecommunication subsector with the best error giving the smallest error value of 0.193%
Penerapan Rantai Markov Pada Pola Perpindahan Pembelian di Produk Songkok
Get PDFThe projected decrease inspired this research in Afdhol MSMEs' consumer base in 2020. This study's objectives were to determine the pattern of product brand transfer for Nasional Afdhol (SNA) and predict the market share and price of prayer cap products. This study was undertaken at the SNA in Bungah District, Gresik Regency. With a population of 415 people and a required sample size of 204 persons, the required data consists of a questionnaire containing questions concerning prayer cap brand items used in the past and prayer cap brand products used presently. There are three competing prayer cap brands: Nasional ONH, Pendopo, and Nasional Gapuro Bungah. During the pandemic, it has decreased drastically by almost 70% until the last two years, so the problem that can be formulated was SNA has never evaluated the market, so competitors have never been taken into account for their role, which may affect the market share, and how consumers behave in their role in choosing which songkok to buy. By calculating using the Markov chain, the pattern of songkok purchase movement made by consumers in the 4 songkok brands can be analyzed so that SNA canplan marketing strategies to increase sales and their expected values. Data processing was performed using Rantai Markov, beginning with projecting market share using three strategies. The first strategy was without decreasing or raising prices. The second strategy was reducing the price of Rp. 5,000.00, and the third strategy was increasing the price of Rp. The calculation results yielded the greatest market share value. A formulated strategy was to cut the price of Rp. 5,000.00 by 42.65% with a probability value of 0.4265 under a steady-state condition of 0.4714 with a profit of Rp. 1,137,636. The strategy to obtain maximum expectation values has the consequence of enlarging its customer base