scholarly journals ANALISIS MODEL MANAJEMEN PERMINTAAN SCM NETWORK DAN PERAMALAN PERMINTAAN PADA PENJUALAN BUSANA MUSLIM MENGGUNAKAN METODE LINEAR REGRESSION

Author(s):  
Vela Maghfiroh ◽  
◽  
Yusuf Amrozi ◽  
Qushoyyi Bondan Prakoso ◽  
Mochamad Adam Aliansyah

Supply chain management is very important for a company because it will affect supply performance in the company. Doing business in this era has many challenges that must be faced, especially in the Muslim clothing business. The way to stabilize the demand diagram of the Muslim clothing business, retailers are required to manage the supply chain so that they can meet the total demand. The object of this research is Rabbani Cirebon which was obtained from a literature study published in a journal entitled "Trend of Muslim Lifestyle Changes" from Banjarmasin State Polytechnic. The journal has sales data based on product types from monthly in 2016. From this data will be processed and analyzed using data analysis techniques. This data analysis technique uses time series forecasting data analysis techniques. From this time series method, this research uses moving average and linear regression. After modeling the data, the forecast error is measured using MAD, MAPE, RMSE, and MSE. The overall MSE results were 103731.8 and RMSE 322.0743. The benefit of demand forecasting is to reduce the Bullwhip Effect, plan future resources, for example, such as stock management, place control, product distribution, and demand for raw materials so as to make the right decisions. The results showed that the linear regression method has better forecasting than the moving average because linear regression has a smaller error rate than the moving average. But even so, the error rate of this study is still very large, so it is necessary to do more research to minimize the error rate.

2019 ◽  
Vol 6 (3) ◽  
Author(s):  
Ahmad Basid Hasibuan ◽  
Widyah Nirmala Vanyaseshi

This study aims to analyze and provide empirical evidence regarding the influence of evaluation of accounting student’s understanding of IFRS in facing global market in accounting field related to IFRS competence, dan IFRS integration on college. The population in this study are accounting students of Darma Persada University, questionnaires are distributed as many as 143 and questionnaires that can be used as much as 133. Data analysis techniques with multiple linear regression method. The result indicate that the evaluation of the student’s understanding on IFRS and The IFRS integration on college has a positive and significant influence on the IFRS competence


2021 ◽  
Vol 24 (2) ◽  
pp. 224
Author(s):  
Oktober Tua Aritonang

Abstract:The purpose of study is to determine whether there is a positive and significant effect of humanistic approach on learning motivation of class XI students of SMA Negeri 3 Tarutung during Covid-19 pandemic. This research is quantitative descriptive by using descriptive statistic method. The population is 143 students of class XI and the sample of 25%, namely 36 students were taken randomly. A closed questionnaire was used as the instrument for the data collection. The data processing and analysis techniques used simple linear regression method with t-test. The regression equation was Y = 2.5 + 0.21 X + e. The value of X was positive value, it indicated that the better humanistic approach is applied, the more student motivation will be. Based on the data analysis, it was known that the significance value of the humanistic approach variable was 0.047. The results show that the significance value (0.047) is smaller than the value of 0.050 (α). Therefore, it is concluded that H0 is rejected and Ha is accepted. It means that the humanistic approach has a positive and significant effect on students’ learning motivation. Abstrak: Tujuan penelitian ini untuk mengetahui ada tidaknya pengaruh yang positif dan signifikan pendekatan humanistik oleh guru terhadap motivasi belajar siswa kelas XI SMA Negeri 3 Tarutung pada masa pandemi Covid-19. Penelitianini deskriptif kuantitatif dengan menggunakan metode statistik deskriptif. Populasi 143 siswa kelas XI  dan sampel 25 % yaitu 36 orang diambil secara random.Teknik pengumpulan data dengan angket tertutup. Teknik pengolahan dan analisis data menggunakan metode regresi linier sederhana dengan uji-t. Persamaan regresi yaitu Y = 2,5 + 0,21 X + e. Nilai X adalah nilai positif, ini menunjukkan bahwa semakin baik pendekatan humanistik dilakukanguru akan mengakibatkan motivasi belajar siswa semakin meningkat.Dari hasil analisis diketahui bahwa nilai signifikansi variabel pendekatan humanistik oleh guru adalah sebesar 0,047. Karena nilai signifikansi 0,047 lebih kecil daripada nilai 0,050 (α) maka disimpulkan bahwa H0 ditolak dan Ha diterima. Ini berarti bahwa pendekatan humanistik oleh guru mempunyai pengaruh yang positif dan signifikan terhadap motivasi belajar siswa.


2015 ◽  
Vol 115 (3) ◽  
pp. 419-435 ◽  
Author(s):  
Felix T.S. Chan ◽  
Avinash Samvedi ◽  
S.H. Chung

Purpose – The purpose of this paper is to test the effectiveness of fuzzy time series (FTS) forecasting system in a supply chain experiencing disruptions and also to examine the changes in performance as the authors move across different tiers. Design/methodology/approach – A discrete event simulation based on the popular beer game model is used for these tests. A popular ordering management system is used to emulate the behavior of the system when the game is played with human players. Findings – FTS is tested against some other well-known forecasting systems and it proves to be the best of the lot. It is also shown that it is better to go for higher order FTS for higher tiers, to match auto regressive integrated moving average. Research limitations/implications – This study fills an important research gap by proving that FTS forecasting system is the best for a supply chain during disruption scenarios. This is important because the forecasting performance deteriorates significantly and the effect is more pronounced in the upstream tiers because of bullwhip effect. Practical implications – Having a system which works best in all scenarios and also across the tiers in a chain simplifies things for the practitioners. The costs related to acquiring and training comes down significantly. Originality/value – This study contributes by suggesting a forecasting system which works best for all the tiers and also for every scenario tested and simultaneously significantly improves on the previous studies available in this area.


2016 ◽  
Vol 5 (2) ◽  
Author(s):  
Ratih Hedayani ◽  
Rachmat Simbara Saputra ◽  
Fariz Indra Permana ◽  
Galang Nusa Mahardhika

Orca is a company that run in the field of handicrafts, mainly craft bracelet. In this era of tight competition this time, Orca needs a competitive advantage to survive in this industry. To have a competitive advantage, companies must have a good supply chain management as well. Unfortunately, Orca has obstacles in the inventory is one of the Drivers of suplly chain management. Inventories at Orca often occurs over load, causing storage costs become swollen or a vacancy occurs so that the company's stock experienced a loss of income potential. The aim of this study was to determine the best forecasting method to forecast the demand for raw materials from ORCA thus making optimum inventory and gain a competitive advantage. This research is a quantitative descriptive research. Quantitative data analysis was performed to predict the demand for raw materials ORCA using time series forecasting methods. Historical data demand and supply ORCA processed using Microsoft Excel and Minitab 17. The calculation of the error rate used is the method of MAD, MSE and MAPE. Based on the results of data analysis, forecasting method best known is the method of Quadratic Trend Model. This method was chosen because compared to other methods or the error rate to its lowest error, MAPE of 103, amounting to MAD 370, and MSD amounted to 205.095. Keywords: Forecasting, Inventory, Time Series, Competitive Advantage, Supply Chain Management.


2019 ◽  
Vol 8 (4) ◽  
Author(s):  
Firmansyah Kusumayadi ◽  
Muhammad Ali

This study aims to determine the effect of Organizational Climate and Organizational Commitment to Employee Work discipline at the Bima Regency DPRD Secretariat office. The dependent variable used is Work Discipline, the independent variable is Organizational Climate and Organizational Commitment. This type of research is causal associative. The sampling technique used is the Census technique to obtain a total sample of 48 respondents who are civil servants. Data analysis techniques in this study were multiple linear regression, t-test, f-test, and adjusted determination coefficient test (R2). From the regression results for this study the equation is obtained, namely Y = 8.756 + 0.565 X1 + 0.434 X2. The results of this study indicate that partially the organizational climate has a positive and significant effect on employee work discipline. Partially, organizational commitment has a positive and significant effect on employee work discipline. Simultaneously the organizational climate and organizational commitment have a positive and significant effect on employee work discipline at the Bima Regency DPRD Secretariat office.Keywords: organizational climate, organizational commitment, work discipline


2020 ◽  
Vol 8 (4) ◽  
pp. 1222
Author(s):  
Muhammad Akbar Marzuq ◽  
Anik Lestari Andjarwati

A brand will carry out several marketing strategies to attract consumers. especially for countries with a Muslim majority community, the product must have halal legality. There are several factors considered by consumers to choose the product purchased, among others, the existence of halal labels on packaging, emotional advertising, and diskons. The purpose of this paper is to study the effect of product labels, emotional advertising, and discount on purchasing decisions. This research is focused on consumers who have bought Chatime as a bubble drink, Muslim, aged 15-60 years old, and a final consumer. uses a nonprobability sampling technique. Questionnaires were distributed to 200 participants with Google form. Data analysis techniques using Multiple Linear Regression. The results showed that product labels, iklan emosional, and diskons had a positive effect on consumer purchasing decisions.


2019 ◽  
Vol 10 (1) ◽  
pp. 19-28
Author(s):  
Maria Kaok

The purpose of this study was to analyze the influence of the work environment and work facilities on the performance of the employees of PT. Telkom (Engineering Section) Merauke Branch. With data analysis techniques using multiple linear regression analysis and t-test results of 3.567 for X1 variables (work environment) and X2 variables (work facilities) 2.16 and f-test 12.724. The conclusion of this research is that by paying attention to the work environment and adding work facilities it will have a good impact on employee performance.


2020 ◽  
Vol 4 (2) ◽  
pp. 103-112
Author(s):  
Sri Dwi Ratih Wijayanti ◽  
Lina Mahardiana ◽  
Risnawati Risnawati

This study aims to: know and analyze whether the Competence and Discipline Work simultaneously and partially effect on Customer Satisfaction in the Office of State Assets and Auction (KPKNL) Palu. This study uses quantitative research which is a study that aims to explain the relationship between two or more variables with a sample of 49 customers and data analysis techniques used are multiple linear regression. The results of hypothesis analysis and testing can be concluded that: (1) based on regression test results obtained sig. F of 0.00 <0.05, which can be interpreted that the variable Competence and Work Discipline affect simultaneously to Customer Satisfaction. (2) based on regression test results obtained Competence variables have significance level t sig. 0.010 <α 0.05, which can be interpreted that the variable Competence partially significant effect on customer satisfaction. (3) based on the regression test results obtained variable Work Discipline has significance level t sig. 0,000 <α 0.05, which can be interpreted that the variable Work Discipline partially significant effect on Customer Satisfaction. Penelitian ini bertujuan untuk: mengetahui dan menganalisis apakah Kompetensidan Disiplin Kerjaberpengaruh secara serempak dan parsial terhadap Kepuasan Pelanggan di Kantor Pelayanan Kekayaan Negara dan Lelang (KPKNL) Palu. Penelitian ini menggunakan penelitian kuantitatif yang merupakan penelitian yang bertujuan untuk menjelaskan hubungan antara dua variabel atau lebih dengan sampel 49 pelanggan dan teknik analisis data yang digunakan adalah regresi linear berganda.Hasil analisis dan pengujian hipotesis dapat disimpulkan bahwa: (1) berdasarkan hasil uji regresi diperoleh sig. F sebesar 0,00 < 0,05, yang dapat diartikan bahwa variabel Kompetensidan Disiplin Kerjaberpengaruh secara serempak terhadap Kepuasan Pelanggan. (2) berdasarkan hasil uji regresi diperoleh variabel Kompetensimemiliki tingkat signifikasi t sig. 0,010 < α 0,05, yang dapat diartikan bahwa variabel Kompetensisecara parsial berpengaruh signifikan terhadap kepuasan pelanggan. (3) berdasarkan hasil uji regresi diperoleh variabel Disiplin Kerja memiliki tingkat signifikasi t sig. 0,000 < α 0,05, yang dapat diartikan bahwa variabel Disiplin Kerja secara parsial berpengaruh signifikan terhadap Kepuasan Pelanggan.


2012 ◽  
pp. 646-665
Author(s):  
Mehdi Najafi ◽  
Reza Zanjirani Farahani

In today’s world, all enterprises in a supply chain are attempting to increase both their and the supply chain’s efficiency and effectiveness. Therefore, identification and consideration of factors that prevent enterprises to attain their expected/desired levels of effectiveness are very important. Since bullwhip effect is one of these main factors, being aware of its reasons help enterprises decrease the severity of bullwhip effect by opting proper decisions. Now that forecasting method is one of the most important factors in increasing or decreasing the bullwhip effect, this chapter considers and compares the effects of various forecasting methods on the bullwhip effect. In fact, in this chapter, the effects of various forecasting methods, such as Moving Average, Exponential Smoothing, and Regression, in terms of their associated bullwhip effect, in a four echelon supply chain- including retailer, wholesaler, manufacturer, and supplier- are considered. Then, the bullwhip effect measure is utilized to compare the ineffectiveness of various forecasting methods. Owing to this, the authors generate two sets of demands in the two cases where the demand is constant (no trend) and has an increasing trend, respectively. Then, the chapter ranks the forecasting methods in these two cases and utilizes a statistical method to ascertain the significance of differences among the effects of various methods.


2020 ◽  
Vol 10 (3) ◽  
pp. 123-129
Author(s):  
Prayekti Prayekti ◽  
◽  
Godrikus Patas

Performance as the results of work functions or activities of a person or group in an organization within a certain period of time at KSP Credit Union Dharma Prima Kita. This study aims to partially determine the effect of work motivation, work environment and work discipline on employee performance. The subjects of this study were employees of KSP Credit Union Dharma Prima Kita, with a total of 70 respondents. This study uses a quantitative approach with multiple linear regression data analysis techniques and uses the SPSS for windows 25 computer program. The results of this study indicate that work motivation has a positive and significant effect on employee performance, the work environment has a positive and significant effect on employee performance, work discipline has a positive effect. and significant on employee performance and simultaneously work motivation, work environment and work discipline have a positive and significant effect on employee performance.


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