JIEMS (Journal of Industrial Engineering and Management Systems)
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PEMODELAN CONTINUANCE INTENTION DALAM KASUS PENGGUNAAN DOMPET DIGITAL DI KALANGAN MAHASISWA
Get PDFThe successful use of an information system or technology does not only focus on the perception of the first use (initial use), but also on the sustainability of its use (continuance intention). Continuance intention is a behavior that shown by consumer to continue to use an information system or technology. The purpose of this study was to determine the factors that influence continuance intention to use digital wallets among students. The results obtained from this study can be used by interested companies, such as e-commerce, internet service providers, retailers, and banks to predict consumer behavior in conducting transactions so that they can provide transaction services according to the needs and desires of consumers. The data collection method in this study was a questionnaire with the help of google form. The analysis technique used is Structural Equetion Modeling (SEM) with the help of PLS-SEM 4 software. The model developed is based on the Expectation Confirmation Model (ECM) by adding information quality and service quality variables. By the 9 hypotheses built, there is 1 rejected hypothesis while the other 8 hypotheses are accepted. Quality service variable has no effect on consumers' initial trust to use digital wallets. The Satisfaction variable motivates users to continue using digital wallets
CALCULATION OF COST OF PRODUCTION TYPE 36 HOUSE AT PT. DZAKA ROTSA PROPERTY
Get PDFResearch at PT. Dzaka Rotsa Properti shows that there is a significant price difference with other housing in the same area, making Akhtara Residence owned by PT. Dzaka Rotsa Properti cannot compete because the selling price offered is more expensive. Research shows that there is no correct classification of costs, the company also has not classified factory overhead costs in detail according to the cost accounting concept, as a result the company has not been in accordance with the calculation of the cost of production which can affect the selling price and the profit achieved. The production process which is carried out on an order basis and still uses manual labor for earthworks makes the required cost even greater. From these problems, it is necessary to have an alternative to accelerate development to shorten the time and reduce the budget for development costs as well as to plan and calculate the cost of production according to the cost accounting concept using the full-costing order cost method. According to the company's production costs in producing one type 36 housing unit, the total RAB is Rp. 150,600,000. Meanwhile, according to research results based on calculations after accelerating development in accordance with the cost accounting concept, the raw material costs are Rp. 144,545,348, direct labor costs are Rp. 16,063. 333, and factory overhead costs of Rp. 21,685,500 plus the difference in factory overhead costs of Rp. 6,582. The profit calculated by the company is Rp. 38,400,000, while according to research it is Rp. 86,458,234. So there is a difference in calculations between the company and researchers of Rp. 48,058,834
PENGARUH SUPPLY CHAIN MANAGEMENT TERHADAP LOYALITAS KONSUMEN PADA KANTIN UNIVERSITAS ISLAM NEGERI SUMATERA UTARA
Get PDFThis study aims to determine the effect of supply chain management on consumer loyalty in the canteen of the State Islamic University of North Sumatra partially. The method used in this study is a quantitative research method of causal associative research. Data was collected using the method of observation, questionnaires, and documentation studies. The number of respondents used is (N) = 30. Data processing in this study was carried out using validity, reliability, and simple linear regression analysis. Validity test results show that r-Value > r-Table is 0.361, and the test results reliably indicate that the value of Cronbach's Alpha is greater than 0.6, so that all instruments used in each variable can be said to be valid and reliable. The results of the t-test indicate that the t-count value obtained from the supply chain management (X) variable is 4.188 which is greater than the t-table value of 2.042. Based on its significance value, the supply chain management variable (X) is 0.000, which is smaller than 0.05. The results of this hypothesis test indicate that H0 is rejected and Ha is accepted, which means that partially there is a positive and significant effect of supply chain management on consumer loyalty
Optimasi Inventori Material Bubuk Nylon pada Proses Coating dengan Pendekatan Probabilistik
Get PDFThis research aims to optimize the supply of raw material for nylon powder for the manufacturing industry. The problem was found in the nylon powder warehouse which was out of stock so that it had to be replaced with plastic raw materials to keep the production process running. The change of raw material from nylon powder to plasco was done because the company did not make an emergency order for nylon powder. This is due to the high cost of emergency orders. The use of plasco powder makes the company accept a sizeable return of goods. Therefore it is necessary to do a good inventory management to overcome the out of stock. The method used to solve this problem is the probabilistic P back order model. Demand in the previous period was normally distributed. The results of processing with the P back order model produce a service level of 99.95%. It is hoped that the company will not experience out of stock again. In addition, a savings of 4.50% were obtained from the total costs incurred by the company. Inventory policy obtained using the P back order model with an order time of (T) 0.358 or for 130 days a new order will be made, and the total inventory cost is Rp.418,363,268 / year with a service level of 99.995%
Penerapan Metode Statistical Process Control dalam Mengendalikan Kualitas Injeksi Plastik Di MC 1
Get PDFPT. MJI adalah perusahaan yang bergerak di bidang manufaktur furniture plastik, proses injeksi plastik, dan impor komponen furniture. Sebelum didistribusikan kepada konsumen, produk tersebut dilakukan pengecekan terlebih dahulu terhadap standar kualitas yang ditetapkan agar produk yang dikirimkan ke konsumen tidak mengalami kecacatan. Berdasarkan pengamatan yang dilakukan pada PT. MJI pada periode Oktober 2020, kecacatan sering terjadi pada MC 1 dengan 1321 unit produk cacat dari total keseluruhan produk cacat sebesar 6108 unit (21,63%). Total produksi keseluruhan yang dihasilkan sebesar 95873 unit dari total mesin yang beroperasi berjumlah 8 mesin dengan total produksi pada MC 1 sebesar 19917 unit (20,77%). Sehingga perlu dilakukan upaya perbaikan kualitas produk agar dapat diketahui penyebab terjadinya masalah. Metode statistical process control merupakan alat pengendalian kualitas secara statistik yang menggunakan tujuh alat statistik utama sebagai alat bantu mengendalikan kualitas. Alat bantu statistik yang digunakan dalam penelitian yaitu check sheet, diagram pareto, peta kendali, dan fishbone diagram. Berdasarkan diagram pareto, jenis kecacatan produk sering terjadi pada hasil produk MC 1 adalah scrat dengan persentase 23,4%. Jenis cacat yang lain yang terjadi yaitu silver, banding, shot, dan weldine dengan persentase masing-masing sebesar 22,8%, 19,2%, 19,1%, dan 15,6%. Dengan menggunakan fishbone diagram diketahui penyebab terjadinya kecacatan yang terdiri dari faktor manusia, material, mesin dan metode. Berdasarkan faktor penyebab tersebut, didapatkan usulan perbaikan terhadap perusahaan untuk meningkatkan kualitas produk dan meminimalkan kecacatan produk yang dihasilkan
PERENCANAAN PERMINTAAN BAHAN BAKU DAN PENENTUAN UKURAN PEMESANAN (LOT SIZE) OPTIMAL DI GUDANG KIMIA MARUNDA
Get PDFThis research was conducted on companies that store and distribute chemical raw materials (sodium sulfate) to industrial companies. The problem that occurs is that the company does not have a medium-term raw material demand plan to determine the optimal order size to suppliers as storage in the warehouse. Given that ordering is also important to note because it has an impact on the total cost of inventory from ordering costs and holding costs. The purpose of this study is to forecast to find out the demand for raw materials in the future so that the company has an estimate for planning future demand for raw materials and calculates several ordering methods (lot size) to get the optimal order size.Solving problems using forecasting methods (Moving Average, Weight Moving Average, Exponential Smooth), and lot size methods (Economic Order Quantity, Period Order Quantity, Least Unit Cost, Part Period Balancing). The results of the analysis, forecasting to determine the demand for raw materials for the next year using the Exponential Smooth method because it has the smallest MAD MSE MAPE value, and the ordering lot size using the Part Period Balancing method because it has the minimum total inventory cost of Rp. 14,128,706,027 or 23.5% more efficient than the usual ordering used by companies
The Effect of Work Environment, Motivation, and Leadership on Employee Performance with Employee Engagement as Mediating Variable
Get PDFPerformance appraisal is a major factor in company development, so companies can assess the level of achievement of the vision and mission, business performance appraisal, manager appraisal, cross-departmental assessment, and assessment of all employees in the company. This assessment is intended to predict the company's future expectations. The purpose of this study is to analyze and determine which factors affect employee performance in the workplace. This research is conducted at one of the construction services companies where the number of skilled employees continues to decrease, and the company has experienced a decline in achievement of Key Performance Indicators (KPI) from 2015 to 2018. The analysis technique used in this study uses the Structural Equation Modeling method. (SEM) with the help of SmartPLS (Partial Least Square) software. The results of the analysis show that the work environment variable (X1) has a positive and significant relationship to the employee engagement variable (Y1) and has a positive but not significant effect on the Employee Performance variable (Y2), the motivation variable (X2) has a positive and a significant influence on the employee engagement variable (Y1) and employee performance (Y2). The leadership variable (X3) has a positive but not significant effect on the employee engagement variable (Y1) and has a positive but not significant effect on the employee performance variable (Y2). The employee engagement variable (Y1) as a mediating variable has a positive and significant effect on the employee performance variable (Y2). The results also show that the employee engagement variable has a simultaneous influence of 56.8% which can be explained by the variables of work environment, motivation, and leadership. Employee performance variables have a simultaneous effect of 60.5% which can be explained by the variables of work environment, motivation, leadership, and employee engagement
Analisis Triple Bottom Line Menggunakan Analytical Hierarchy Process: Studi Kasus di Sebuah Perusahaan Circuit Breaker
Get PDFSustainability in a company is the main component so that it can run in a long term of time. This also measures how a company can last and survive in a world of globalization where everything feels so fast. One of the systems to measure this competition using the Triple Bottom Line (TBL) System. This system looks up to 3 aspects that have to be the main focus for the company there were economic, environment and social. This circuit breaker company wants to know if they were capable enough to implement a triple bottom line in their product type 1160. First of all, in order to implement this system, collect data from economic, environment and social aspect. After that, conduct an interview with managers of the company to ask about their view on implementing triple bottom line in economy, environment and social aspect. Next, is to process the data using Analytic Hierarchy Process (AHP) method and give weight on each indicator or criteria that were chosen before and process matrix equation using microsoft excel. The result showed sequentially that circuit breaker company focusing on the social aspect with value 0.46, 0.36 on economic and 0.18 on environment aspect. It means that circuit breaker company still thinks that employee welfare is a priority in order to produce product type 1160. Keywords: sustainability, triple bottom line, analytic hierarchy process, employee welfare
Proposed Office Facilities Layout in Low Voltage Electric Panel Manufacturer
Get PDFThe electrical equipment industry in Indonesia is one of the factors that triggers economic growth. Labor productivity determines the success of project implementation. The non-optimal facility layout is one of the factors that triggers low labor productivity. The non-optimal facility layout affects the flow of information in the company. This study examines the problem of non-optimal office facility layout with TSP, ARC and ARD methods at PT. Duta Wijaya Elektrindo Engineering (PT. DWP). The method stated above can minimize the total distance traveled between office facilities so that work efficiency and workforce productivity may increase. The results of data processing indicate that the recommended office facility layout recommendations that are in accordance with the level of closeness between departments based on PST, ARC and ARD is the first recommendation. With reduced total distance traveled in the first layout of the proposed office facilities, the level of employee productivity and work efficiency will increase. The smallest total distance traveled on the proposed layout of the office facilities is 244.22 meters with a reduction of 36% from the initial conditions
Proposed Improvement of Forecasting Using Time Series Forecasting of Fast Moving Consumer Goods
Get PDFThe company discussed in this paper is a national distributor firm that distributes FMCG products. The PPIC division in the company is responsible for forecasting the demand using the combination of the moving average method and intuition according to the interest of the company. However, the PPIC staff never measures the accuracy of their forecasting method. This research paper aims to evaluate the forecasting methods used to predict the demands of 12 classes of A SKU. Four-time series forecasting methods are particularly implemented, i.e., ARIMA, moving average (MA), double exponential smoothing (DES), and linear regression (RL). Forecasting using the ARIMA method is carried out by considering the stationarity of the average and variance of the historical data points. Forecasting using DES is carried out by using the optimal alpha and gamma values of the ARIMA method. The results show that the performance of each forecasting method varies, depending on which demands of class A SKU are predicted. Based on these results, the current forecasting method utilized by the company should be improved using the time series forecasting methods leading to the smallest error values for each class of A SKU