Pengukuran Kepuasan Pengguna Website Politeknik ATI Padang Berdasarkan Persepsi Pengguna Internal

Website is an important part of any organization namely in the government, business, health and education sectors. In the world of higher education, website can be used to disseminate information related to campus life as well as a medium for promoting the existence of the campus to the outside world. As a higher education institution, Polytechnic ATI Padang own a website which is used to display various information about campus academic activities. In its management, the level of user satisfaction of the website of Polytechnic ATI Padang has never been measured. The Webqual 4.0 method used in this study aims to measure the satisfaction of internal website users by looking at the dimensions of Usability, Information Quality, Interaction Quality and Customer Satisfaction. Measurements performed by using a questionnaire instrument with Likert scale then calculated with the help of SPSS software. The results obtained that the independent variables, namely Usability, Information Quality, Interaction Quality have an influence on the dependent variable Customer Satisfaction of 70.1% and there are still 29.9% of other independent variables that can affect the dependent variable Customer Satisfaction. Furthermore, based on the results of the calculation of the satisfaction level with Likert scale, it was found that the variables of Usability, Information Quality, Interaction Quality and Customer Satisfaction received a satisfied interpretation, so it can be concluded that the Polytechnic ATI Padang website provides good service to its users.

Peramalan Penjualan Olein Curah di Perusahaan Pengolahan Kelapa Sawit Menggunakan Double Moving Average

Bulk olein is one of the products produced by Palm Oil Processing Company. Bulk cooking oil controls 75 percent of the production market share in Indonesia and about 77.5 percent of households in Indonesia use bulk cooking oil because the price is cheaper than packaged cooking oil. Demand for olein in the future is predicted to be continued to increase, so it is necessary to estimate future sales so that production activities become more effective and efficient. The method used in this study is the double moving average (DMA), which is one of the forecasting methods with data that has a trend. The calculation will be done by comparing the result of 3 moving, 4 moving and 5 moving. Forecasting error is calculated using mean absolute percentage error (MAPE). The calculation results show that the average MAPE from DMA with 5 moving has the smallest value. To verify these results, an analysis of the processed data was carried out, namely looking for data with the furthest distance from the linear line, namely t3 data and t7 data. The data is omitted in data processing and then the MAPE error value is recalculated. The results obtained are that DMA with 3 moving results have the smallest error, which is 11.863 percent. For this reason, the chosen forecasting calculation is a double moving average with 3 moving.

Segmentasi Perkebunan Kelapa Sawit dengan Data Mining Teknik K-Means Clustering Berdasarkan Luas Areal, Produksi dan Produktivitas

The oil palm is the most productive plantation product in Indonesia. Government strategies and policies related to oil palm plantations continue to be carried out considering that the plantation area is increasing every year. Segmentation of oil palm plantations based on area, production, and productivity aims to identify groups of potential oil palm plantations in the territory of Indonesia. This segmentation can provide consideration in formulating strategies and policies that will be made by the government. The segmentation method for grouping oil palm plantations uses the K-Means Clustering Data Mining technique with 3 clusters specified. Data mining stages start from data collection until representation is carried out, where 34 data sets are collected, only 25 data sets can be processed further. The results of this grouping obtained three plantation segments, namely 72% of the plantation group with low potential, 20% of the plantation group with medium potential, and 8% of the plantation group with high potential.

Pengambilan Keputusan Menggunakan Analytical Hierarchy Process (AHP) pada Pemilihan Pemasok Produk Lampu

This study aims to determine the best supplier for in-Lite lighting products. The company chose criteria and sub-criteria in supplier selection to optimize product sales continuity. This study used the Analytical Hierarchy Process (AHP) method, which provided information about the criteria, sub-criteria, and alternatives in the selection of three suppliers: A, B, and C. The existence of priority weights provided a decision in choosing the supplier of the lighting product. The new criteria and sub-criteria were the results of the literature study formulation and then adjusted again with the results of the interview. Seven criteria were determined in this study: production, price, quality, site selection, product suitability, delivery, and service. The results of the calculation of the priority weights of the criteria, sub-criteria, and alternative selection using a questionnaire. The parties involved in the selection of suppliers filled out the questionnaire to obtain a weight for each supplier. Based on the results of AHP calculations, supplier A got the highest weight of 0,442 or 44%, so this supplier is used as a company priority in choosing suppliers for in-Lite type lighting products.

Analisis Waktu Baku dan Kapasistas Produksi dalam Proses Pembuatan Mesin Perontok Jagung di CV. Citra Dragon

This study aims to calculate the standard time to produce the right time in producing corn thresher machine, so that the production capacity in one month is obtained at CV. Citra Dragon. Observations was made in the manufacture of corn threshing machine. Working time data was collected using stopwactch time study and adjustment method used was Westinghouse. The research method use was to analyze the work done by operators in the manufacture of corn thresher machine, and calculate the operator’s working time per work element. The result showed that the standard time needed in the process of making 1 unit of corn thresher machine is 78.603 second (21 hours) and the production capacity per month is 7 units of corn thresher machine.

Analisis Pengendalian Mutu Kadar Air Teh Hitam pada Industri Pengolahan Teh

Quality control is intended to maintain and improve quality and maintain the safety of the products produced. This study uses Statistical Process Control by using several tools such as check sheets, control charts and fishbone diagrams to determine the cause of the decline in quality in tea with the aim that the next process can minimize the level of product quality decline. This study aims to determine the dominant cause of the decline in tea quality when viewed from the water content in tea. Based on the results of the study, it can be seen that the dominant cause of the decline in tea quality is the highwater content of dry tea. This type of deterioration can be caused by human error and other factors such as machine condition, raw materials and process monitoring.

Pengukuran Kesiapan Industri Minuman Teh Menjangkau Revolusi Industri 4.0 dengan Metode INDI 4.0

Rapid technological developments greatly affect the demand for products and services. So the industry needs to improve to maximize production achievements in order to meet market needs. The development of industry 4.0 provides an opportunity to revitalize the Indonesian manufacturing sector. Moreover, the Ministry of Industry has compiled "Making Indonesia 4.0" as a strategy and roadmap to develop industry 4.0 in Indonesia. Indonesia focuses on five main sectors for the development of industry 4.0, including the food and beverage, chemical, electronics, textile and clothing, and automotive industries. This research was conducted to determine the level of readiness of the manufacturing industry, especially the food and beverage industry at PT. Perkebunan Nusantara VIII to face industry 4.0 based on organizational and technological aspects. The measurement method used is the Indonesia Industry 4.0 Readiness Index (INDI 4.0). With these results, it can help the industry know the current level of achievement and know what needs to be done to get to the level of industry 4.0. Based on online and offline assessments carried out at the level of readiness, the people and culture aspects as well as the technology aspect have the highest level of use but are at Level 2. The technological aspect has the lowest readiness at Level 1. Overall, the company's readiness is at Level 1 (readiness stage). early) almost reached moderate readiness (Level 2).

Perancangan Ulang Tata Letak Fasilitas Gudang Klinik XYZ Menggunakan Metode Dedicated Storage

In a warehouse facility layout design including a health clinic, the layout design of warehouse facilities and production storage areas plays a very important role, it is impossible for the manufactured goods to be distributed directly to all customers. For this reason, there is a need for a good storage area and storage system to simplify the production process. Clinic XYZ is a 24-hour public health clinic, located in a sub-district in North Sumatra, to be precise in Medan Deli District. The problem that occurs is the random arrangement of goods in the warehouse without paying attention to storage and arrangement patterns that depend on the position of the empty warehouse. Based on observations, it is known that the time span needed to look for drugs at the clinic is too long, so this will make it difficult for employees / operators to manage the products to be stored or retrieved from the drug warehouse. One of the warehouse design methods that can be used is the dedicated storage method. Dedicated storage is a method of placing a specific location or storage area for each item stored. In this study, the types of drugs were classified into drugs, solid types of drugs, semi-solid drugs, liquid drugs and gas drugs. Based on the results obtained, the number of slots needed in the drug product warehouse is 11 slots, the total floor area needed is 13.2 m2, the area needed for storing medicinal products with an alley area is 6.8 m2, the percentage of area that is not used for storage the product in the medicinal product warehouse is 34% and the diagonal length of the hand truck when carrying the box is 1.56 m.

Analisis Perbandingan Persediaan Optimum dengan Metode Lot for Lot, Period Order Quantity dan Economic Part Period

PT. X is a company engaged in the production of electrical and electronic equipment, one of its products is camera. This research aims to compare the inventory policies that have been implemented by the company with other dynamic deterministic models. In the production process, the company uses a stock policy with the Lot for Lot (LFL) method, but the total costs incurred by the company and the frequency of ordering are still quite high. This research aims to compare the inventory policies that have been implemented by the company with other dynamic deterministic models, such as Period Order Quantity (POQ) and Economic Part Period (EPP) methods so that the optimal inventory method can be determined. The results of this study indicate that the Economic Part Period (EPP) is the optimal method with a total cost of Rp. 69,284,600 and the order frequency is 7 times.

Analisis Penyebab Kegagalan Mesin Wrapping Menggunakan Failure Mode And Effect Analysis di PT. X

PT. X is an industry that produces green tea and black tea. In this study, there are often problems with the wrapping machine due to the age of use and the tight schedule of usage in the wrapping machine. If the machine operates in an unstable condition, it will greatly affect the results of the production. Damaged components such as cutting blades, heating heaters, thermo control and bearings. By using the Failure Mode and Effect Analysis (FMEA) method and also calculating the Risk Priority Number (RPN) value, the highest RPN value to the lowest is obtained, namely Cutting Knife (RPN = 100), Heater (RPN = 90), Thermo Control (RPN = 72) and Bearings (RPN = 36). It can be seen that the cause of damage to the wrapping machine and also the highest RPN calculation is found in the damage to the cutting knife whose RPN value is 100. From the analysis of the damage to the cutting knife, the author provides a suggested repair plan for the company so that it can be implemented in the company which can later improve the quality of the machine to be operated. for the future which cannot be separated from the supervisory role of the operators in charge of their cooperation to improve quality and the quality control team that always monitors quality.