Metris: Jurnal Sains dan Teknologi
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Pendekatan Metode Tiga Fase dalam Optimasi Masalah Rute Kendaraan dengan Varian Jenis Kendaraan dan Jenis Produk
Get PDFSClustering is a commonly system used by the distribution company. Some consumers who are in the same location but located in two different clusters as a result of a fixed and rigid area within cluster, resulting in longer delivery time and higher cost incurred to deliver the order. The purpose of this research is to determine the optimal vehicle route using three-phase method approachthat improve the clustering system. Complexity arising from the problem of this vehicle routing includes variant types of vehicles and variants of product types. The three-phase method includes a cluster-making phase with a maximum distance between consumers within 10 kilometers, a cluster adjustment phase, and a routing phase that determine shipping routes and calculate total distribution cost. Numerical examples shows that the cost of distributing goods can be minimized, from an average of IDR 1,064,408.33 to an average of IDR 775,586.46. Thus a three-phase method may improve the clustering system by reducing distribution time and cost
Studi Pengaruh Empat Faktor Tipografi terhadap Waktu Pencarian Kata pada Layar Komputer
Get PDFThis study aims to investigate the effect of font type, font size, line spacing and text background colour on visual search of βa predetermined wordβ. The study used a multifactorial experiment with four factors and 48 combinations. A number of 20 female undergraduate students participated in this study and their response time for each treatment combination was recorded. Anova test results showed that there were significant effect of font type (F=2.72, p=0.042) and font size (F=8.14, p=0.004) to the response time of subject. Further analysis using ANOM chart showed that verdana for font type and 12 pt for font size provide the fastest response time. Results of this study could be used by web designers for the production of web pages so that it will optimize interaction with the users
Optimasi Pengiriman Sapi Potong pada Jaringan Pelayaran Kapal Khusus Ternak dengan Algoritma Genetika
Get PDFThe government livestock carrier cruise program is a dedicated program to improve the supply chain management of livestock and the ultimate goal is selfsufficiency of beef in 2026. This carrier has one fleet with the capacity of 500 cows and sails through 8 ports regularly. The island of Nusa Tenggara are the local producers for the livestock carrier cruise which is an area of provincial surplus of beef. For the future the government plans to add more ships to the armada from the current one fleet to six fleets of livestock carrier cruises. The current livestock carrier cruise program has not been optimal in shipping cows to the consumer area. This is caused by the limitation of number of fleet and theexisting route that the livestock carrier has to sail through has created some obstacle to maximizing the number of cows to be distributed. This research aims to optimise this carrier cruising route with criteria including having high supplied beef percentage rate and having the most minimum cost. This optimisation problem solved by genetics algorithm methid and develop twodifferent scenarios that suggest alternatives for an optimal route. To make things easier, a computerized program with genetics algorithm method for a livestock carrier cruise optimization network are designed. The outcome of this research is a proposed optimised route on scenario 1 with total cost of Rp 443,306,533.26, and total load of 1,374 cows. As for the future to add five ships, the conditions are met by using the results of the second scenario with total cost of Rp 1,321,505,850.62, total load of 3416 cows and the route network for six ship
The Effect of Knowledge Sharing and Absorptive Capacity on Service Innovation Performance: A Study of Micro, Small and Medium Enterprises in Tarakan City: (Studies on Micro, small and medium enterprises (MSMEs) in Tarakan City)
No full textThis research was conducted on micro, small and medium enterprises (MSMEs) in Tarakan City. To improve service innovation, micro, small and medium enterprises (MSMEs) in Tarakan City need knowledge sharing and absorption activities. This research was conducted on 150 workers in small, micro, and medium enterprises (MSMEs) in Tarakan City. Data collection was carried out using a survey method with a questionnaire. Survey responses submitted by respondents in this study indicate that knowledge sharing and absorptive capacity activities positively affect service innovation performance in micro, small and medium enterprises (MSMEs) in Tarakan City.
 
The influence factors toward personal improvement and employment outcomes
Get PDFThis study has the background of companies that place their workers only as input factors (assets) but do not place them as equal partners who need each other, related in be up against increasingly complex challenges and to develop the organization. Values and norms poorly governed and rarely well developed; therefore, organizations merely assign workers as the assets rather than as power resource. The research objective is to examine the factors that influence personal improvement and employment outcomes at PAA Company. The population utilized is all PAA company with a total of 273 employees with 152 respondents taken as samples. Data collection through the distribution of questionnaires which then processed and analyzed using multiple linear regression data analysis techniques with SPSS 20.00 for Windows. The result of the variables tested represents as follows: the meaning of work, responsibility, and awareness of work activities' outcome simultaneously has a significant effect on personal improvement and employment outcomes. The variable of the meaning of work & responsibility by partially does not have a significant influence. On the direct contrary, awareness of work activities' outcome partially has a significant influence on personal improvement and employment outcomes
Pengelompokkan Profil Work Readiness Mahasiswa Teknik Industri Universitas Telkom Menggunakan Data Mining Berbasis Algoritma K-Means Clustering
Get PDFThis study aims to formulate a group of student work readiness profiles. Based on this profile, students' readiness to work will be identified. Grouping is done using data mining based on the k-means clustering algorithm. The work readiness profile group consists of student skills or abilities based on Critical Thinking/Problem Solving, Oral Communications, Written Communications, Teamwork/Collaboration, Diversity, Information Technology Application, Leadership, Lifelong Learning/Self Direction, and Professionalism / Work Ethics. The case study of grouping the profile of work readiness of students is carried out in the Industrial Engineering Study Program of Telkom University with the number of respondents 191 students in the class of 2014 who are currently taking level IV lectures. Based on the results of grouping by dividing into 9 clusters, it was identified that students who met the criteria as students were ready to succeed in work in cluster 7. The number of students in cluster 7 was 50 students with good academic skills, but less active in student activities in the field of reasoning and culture, while the work readiness tends to be very good. The highest work readiness score for cluster 7 is in Lifelong Learning/Self Direction and Teamwork/Collaboration capabilities. Oral Communications, and Leadership which are the benchmarks of student readiness in a career. Further research can be done by identifying groups of work readiness profiles for students at various levels so that they can be used as a reference for designing programs to improve work readiness that varies for each level
Proposed Factory Area Location Alternative Selection Based on Multiple Criteria Decision Making Using Analytical Hierarchy Process Method (Case Studi PT. SKI)
Get PDFPT. SKI is a manufacturing company engaged in the production of hair and skin beauty products such as hair masks, shampoos, conditioners and others. Demand for beauty products that are increasing every day requires companies to produce more than inventory. One solution is to expand the production area in an increase large-scale production processes. However, the current production area which cannot optimally support this due to the absence of vacant land or expansion of the area that can be carried out. Based on the results of interviews with the head of the production section, the plan to move locations in several alternative places is the right solution for the company. In the specific task studied, the need for this location transfer will be related to multiple decision making taken by the company. One technique to identify these problems is using the Analytical Hierarchy Process or AHP method where this method is a simplification of complex problems that are not structured, strategic, and dynamic into their parts, and organize in a hierarchy. The level of importance of each criterion that supports decision support is relatively compared to other criteria by considering various considerations and then synthesizing to determine criteria that have high priority and play a role in influencing the results of the system. Based on the results, it is found that there are several criteria which plays an important role in the selection of factory location alternatives obtained in the mathematical equation. The first criterion namely Investment and Operations has a value of around 55.84% indicating that the first best alternative location in the sub criteria is land price, land area, expansion and employee salaries (UMR). Continued around 58.47% in the second general criteria, namely facilities with sub criteria of water, electricity, transportation and service which showed the best selection was in the first location alternative and 73.51% in the criteria for ease of licensing and transportation access at the first alternative location. By comparing the three data multiplication matrices and assessment criteria, it was found that a large comparison of the three general criteria had a total of 60.91% of the first alternatives being the priority of PT. SKI to choose the location of the new factory area, which is located in Padurenan, Gunung Sindur, Bogor, West Java
Optimalisasi Head Truck Maintenance untuk Meningkatkan Availability dan Reliability di PT. TPS
Get PDFPT TPS Surabaya is a company engaged in terminal handling, especially containers. In carrying out operational activities to transport containers from the dock to the company's container yard, it uses eighty head truck fleets. Operational activities for transporting containers are carried out 24 hours a day so that maintenance is needed. Therefore, the operational head trucks do not experience sudden damage and disrupt operations. The malfunction of the device can occur due to damage to the components in the device. The design of the component replacement and the inspection intervals on the components is needed to avoid sudden component damage. Calculation of interval replacement and component checking is done by calculating the damage distribution followed by searching for index of fit and goodness of fit using Minitab software. The result showed that the inspection time interval of 1091 hours for the air system and 398.45 hours for the transmission system components. Besides, the replacement time interval for the component of the air system is 62 hours and the transmission system is 124 hours after inspection
Mitigasi Risiko Pada Rantai Pasok Bawang Merah (Allium ascalonicum L.) di Kabupaten Bantul, Daerah Istimewa Yogyakarta
Get PDFShallot (Allium ascalonicum L.) is a horticultural commodity that has high economic value. The problems that occur in shallot commodities are easily damaged and rotten, easily experiencing shrinkage of scales, and fluctuating prices. Therefore, this study is aimed to identifying the shallot supply chain model and its risks, and then determining the appropriate mitigation for priority risks. The research method was carried out by purposive sampling and snowball sampling through in-depth interviews with the risk owner. Risk analysis is carried out using the ISO 31000:2009 standard and the risk priority is to determine by the value of the Risk Priority Number (RPN). The results showed that the shallot supply chain contained 19 models consisting of 6 tiers. The identified risks include 32 risks with 10 risks at avoid risk level, 2 risks at the transfer risk level, 17 risks at the level of managing risk, and 3 risks at the appetite risk level. Mitigation is carried out, namely at the farmer tier adding fumigation and blower in the warehouse, installing insect traps, applying advanced and simultaneous planting patterns, watering the plants before sunrise, spraying with fungicides and insecticides. In the slashing tier, you could pay onion to the farmer with a down payment and look for price information. In the tier of collectors, they applied advance payments, making sales records, and payment systems for fixed debts. At the tier sales, namely making records of sales, the system of payment of accounts payable for regular customers, and seeking information to the area available onion