Garuda - Garba Rujukan Digital

Improving Inventory Management by Using Material Requirement Planning (MRP): Case in Soigne Adornment Company Fakhriyah, Siti Diaz Rifa; Farmaciawaty, Desy Anisya
Journal of Innovation, Business and Entrepreneurship Vol 4, No 2 (2019)
Publisher : Journal of Innovation, Business and Entrepreneurship

Show Abstract | Download Original | Original Source | Check in Google Scholar

Soigne Adornment is a fashion company that focuses on accessories. High market demand in the fashion industry is very dependent on the supply and productivity of companies in making products. Therefore, the operating system must be prepared carefully. As one of the companies in the fashion industry, Soigne Adornment is needed to maintain the operating system. Soigne Adornment itself has experienced several operational problems in production because it does not have the right schedule and estimated demand, resulting in losses. Losses experienced due to several aspects, namely from the excess of raw materials and delays in ordering. These problems affect the company's performance and have an impact on sales. This study aims to make an estimate of demand and find the most efficient method to minimize production costs. Therefore, using Material Requirement Planning (MRP) can overcome the problems that have occurred. In this study, what must be done first is to determine the number of forecasting requests by interviewing through the Jury of Executive Opinion method by interviewing the owner of Soigne Adornment and interviewing the owner of the Velour Jewels Company. After the estimated data is collected, researchers conduct production scheduling using the Master Production Schedule (MPS), Bill of Materials (BOM), and Lead Time. After the scheduling process is completed, an analysis is conducted to find the lowest production costs using the Lot-Sizing technique through three methods, namely Lot-For-Lot (L4L), Economic Order Quantity (EOQ), and Order Quantity Period (POQ). Based on the results of the analysis, it shows that Economic Order Quantity (EOQ) is the most efficient method for minimizing production costs. Keywords: Soigne Adornment, Fashion Company, Material Requirements Planning, Demand Forecasting, Production SchedulingSoigne Adornment is a fashion company that focuses on accessories. High market demand in the fashion industry is very dependent on the supply and productivity of companies in making products. Therefore, the operating system must be prepared carefully. As one of the companies in the fashion industry, Soigne Adornment is needed to maintain the operating system. Soigne Adornment itself has experienced several operational problems in production because it does not have the right schedule and estimated demand, resulting in losses. Losses experienced due to several aspects, namely from the excess of raw materials and delays in ordering. These problems affect the company's performance and have an impact on sales. This study aims to make an estimate of demand and find the most efficient method to minimize production costs. Therefore, using Material Requirement Planning (MRP) can overcome the problems that have occurred. In this study, what must be done first is to determine the number of forecasting requests by interviewing through the Jury of Executive Opinion method by interviewing the owner of Soigne Adornment and interviewing the owner of the Velour Jewels Company. After the estimated data is collected, researchers conduct production scheduling using the Master Production Schedule (MPS), Bill of Materials (BOM), and Lead Time. After the scheduling process is completed, an analysis is conducted to find the lowest production costs using the Lot-Sizing technique through three methods, namely Lot-For-Lot (L4L), Economic Order Quantity (EOQ), and Order Quantity Period (POQ). Based on the results of the analysis, it shows that Economic Order Quantity (EOQ) is the most efficient method for minimizing production costs. Keywords: Soigne Adornment, Fashion Company, Material Requirements Planning, Demand Forecasting, Production Scheduling

Analysis of chef works’ master budget to minimize the value of leftover product Wiguna, Giovanni Julius; Darmansyah, Asep
Journal of Innovation, Business and Entrepreneurship Vol 4, No 2 (2019)
Publisher : Journal of Innovation, Business and Entrepreneurship

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract. Culinary business is one of the fastest growing business in Indonesia. According to Badan Ekonomi Kreatif Indonesia or BEKRAF, culinary as one of creative economy sub-sector is in the top of sub-sector that has the most number of businesses. Chef Works is one of business that runs in food and beverages industry and located in Bandung. Right now, Chef Works focuses on making packaged filling bread with “modern” fillings. As a new established company, finance is become one of the most important factor to grow the business. Based on 2018 financial data, Chef Works has leftover products and ingredients or waste expense worth approximately 1.6 million rupiah in a year. The issue is related to the inaccurate of budgeting process in the first place. By using fishbone analysis, it is known that the company did inaccurate in making budgeting process especially in sales budget when the company should determine sales target unit forecast. To minimize the value of leftover product, the company should create a “right” initial budgeting. To create the most suitable budgeting for the company, company should consider factors that can affect company in determining the budgeted sales or sales forecast such as customer preference. After considering several factors, then the researcher creates a new master budget for the company. But the company needs other aspect/unit support especially marketing to run the budgeting plan. It is ineffective if the marketing unit does not make any moves to support the sales.Keywords: leftover products, inaccurate, budgeting, sales forecast

Business Process Improvement of Fixed Wing UAV Assembly Process: Imperia Dirgantara Case Ajibaskoro, Akbar; Wasesa, Meditya
Journal of Innovation, Business and Entrepreneurship Vol 4, No 2 (2019)
Publisher : Journal of Innovation, Business and Entrepreneurship

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract. Imperia Dirgantara is a company engaged in providing aerial survey solutions using their own university-based research Unmanned Aerial Vehicle (UAV) technology and data processing systems. To anticipate an increasing demand of the aerial survey, the UAV has to be prepared in a short preparation time. Currently, Imperia Dirgantara is facing an issue of lengthy assembly process of the UAV which may lead to lost sales opportunity. In response, this research focuses on providing proposition improvements for the UAV assembly business process, All of data source directly from Imperia Dirgantara internal archives. This business process improvement research is initiated with thorough analysis of bottleneck process in the existing UAV assembly process. Following the bottleneck process identification, we conduct root cause analyses and propose the corresponding business process improvement propositions. Finally we assess the impact of the solution propositions, define the required resources and provide a plan to implement the solution proposition. This research resulting time reduce in processing time as much 12.66% or equal to 10 days. The suggestion of keep improving the current business process instead picking up another option is stated in this research’s report.Keywords: Business Process Improvement; Business Process Model; Bottleneck Analysis; Unmanned Aerial Vehicle; UAV Assembly Process.

Analysis of Ricebox Business Model in Bandung Saanty, Debby Aulia; Aprilianty, Fitri
Journal of Innovation, Business and Entrepreneurship Vol 4, No 2 (2019)
Publisher : Journal of Innovation, Business and Entrepreneurship

Show Abstract | Download Original | Original Source | Check in Google Scholar

As a creative city, Bandung is also known as a culinary city because of the number of culinary product innovations it has, and ricebox is one example of a culinary phenomenon in Bandung. Nowadays, there many ricebox brands in Bandung, and its growth has begun to emerge. However, until now there has not been a proper business model to guide a Ricebox business in Bandung yet. In order to run the business well, Ricebox business in Bandung should create their own business model as their guidance on doing the business. This research is conducted to analyse the most suitable business model for ricebox in Bandung. The data collection is generated by doing the interview with 5 ricebox owners in Bandung and survey of 200 respondents. The result of the data is analysed by manual coding and descriptive statistic. The final result of this research is the recommendation for the most suitable business model for ricebox in Bandung. This research also aims to help PETJAH, as one of ricebox brands in Bandung to find the most suitable business model to be adopted.Keywords: Business Model, Customer Segments, Value Proposition, Ricebox

The influence of perceived quality and perceived price towards the purchase intention of kebaya product: perspective of female students in college Ali Fikri, Ramadhan; Chaldun, Evy Rachmawati
Journal of Innovation, Business and Entrepreneurship Vol 4, No 2 (2019)
Publisher : Journal of Innovation, Business and Entrepreneurship

Show Abstract | Download Original | Original Source | Check in Google Scholar

Indonesia have been roused by social legacy which reflected through nearby conventional clothes and fabrics in fashion industry such as kebaya. Kebaya is one of kind cultural heritage products in the fashion industry has a high value and uniqueness. However, as entrepreneurs create kebaya product, SVAN Company has difficulties to fit the target market which is female students in college. Therefore, this research is conducted to understand the dimension of perceived quality and perceived price towards female students in college purchase intention. Data gather from around 225 respondents, by purposive sampling method with requirements for female students in college for diploma and bachelor, attain the age of 17 years old or above, and currently living in Banten, DKI Jakarta, and West Java Province also income no more than Rp 3.000.000. Multiple Linear Regression Analysis is also used to process the data. As a result, perceived quality and perceived price have significant influence towards female students in college purchase intention simultaneously for kebaya product, which the independent variables could explain more than 40% of the dependent variable.Keywords: perceived quality, perceived price, kebaya, female students in college, purchase intention

Fashion Brands' Instagram Contents that Influence Customer Purchase Intention Kautsar, Muhammad; Nuraeni, Shimaditya
Journal of Innovation, Business and Entrepreneurship Vol 4, No 2 (2019)
Publisher : Journal of Innovation, Business and Entrepreneurship

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract. Social media has changed the way business run, especially in marketing. With the availability of social media, it is easier for business to communicate with their customer. One of social media that influential for business is Instagram. With features that focus on creating contents, Instagram has helped marketers to connect with their customers by creating contents that engage with their customers with the objective to influence their purchase intention. SADE is a local fashion brand from Bandung that use Instagram as its primary marketing channel. In order to gain sales, SADE need to deliver contentsthat able to convert customer interest towards the product into buying the products. Therefore, this research is aim to find out the factors for fashion brands’ Instagram content that significantly influence customer purchase intention. By using questionnaire to collect the data, this research analyzed two independent variables which is product presentation and perceived quality towards purchase intention. The data were collected with the amount of 212 respondents, in where the respondents came from Bandung and Jakarta with the age of between 18 - 37 years old and actively using Instagram. By using multi-linear regression to find out the relationship of each independent variables, the research concluded that variables that have significant effect on customer purchase intention are product presentation and perceived quality.Keywords: Instagram, Social Media, Fashion Brand, Instagram Contents, Purchase Intention

The influence of celebrity endorsement and instagram ads feature on instagram to increase online customer’s purchase intention towards natural ingredients based cosmetic brand Kusumaningrum, Andriaty; Chaerudin, Rendra
Journal of Innovation, Business and Entrepreneurship Vol 4, No 2 (2019)
Publisher : Journal of Innovation, Business and Entrepreneurship

Show Abstract | Download Original | Original Source | Check in Google Scholar

In Indonesia, Instagram become one of four application that most likely to be used with an increasing number of active users up to 1 billion in 2019 globally, Instagram’s growth eventually creates business opportunities because the amount of potential market gathered in one platform. With the goal of the endorsement done by small and medium enterprises to advance the promotion of their items and brand, celebgram has turned into a pattern among people in general, and their well-known can be same with other celebrities by only utilizing Instagram. Instagram Ads is a strategy for paying to post supported substance on the Instagram stage to come to a bigger and more focused on group of onlookers. Purchase intention has another perspective that the customer will buy an item after assessment. is affected by various factors such as price of the product, design, packaging, knowledge about the product, quality, celebrity endorsement, fashion and sometimes family relation as well. These connection between Celebrity Endorsement, Instagram Ads and purchase intention helps Small and Medium Enterprises to utilize Instagram as one of their marketing platform. The purpose of this study is to determine the effectiveness of marketing process using Celebrity Endorsement and instagram Ads as the tool. This research is expected to be useful and can be implemented for Small Medium Enterprise specifically for Naturale Indonesia also natural ingredients based cosmetic industry. This research used quantitative method by using probability sampling, data collection technique using Slovin formula with error of 10% and get 100 sample respondents. The analysis used is multiple linear regression to test the hypothesis. The results of this study indicates that both Celebrity Endorsement and InstagramAds has positive impact to increase customer’s purchase intention towards natural ingredients based cosmetic.\Keywords: Celebrity Endorsement, Instagram Ads, Natural Ingredients Based Cosmetic, Purchase Intention

Effectiveness for quantity of product using forecasting method in clarents Yuniar, Yura Armianty; Utama, Akbar Adhi
Journal of Innovation, Business and Entrepreneurship Vol 4, No 2 (2019)
Publisher : Journal of Innovation, Business and Entrepreneurship

Show Abstract | Download Original | Original Source | Check in Google Scholar

Basically, Forecasting is one of important things the running of a business. In addition, forecasting makes business continuity efficient. There are several factors that determine sales of our business. In the field of fashion trend is a considerable influence, but we still have to determine how many items are effective for us to produce until they run out. Clarents company is a company that sells cardholders, this company is categorized as Small Medium Enterprise. This company previously always used the Rule of Thumb system in its forecasting process. The problem that is always experienced by this company is the accumulation of unsold products. This causes the profit obtained is not in accordance with the specified target. Analysis using 3 months past demand was used to determine the forecasting method. It turns out the most suitable forecasting demand for 6 slot, 12 slot and 24 slot is Time Series Decomposition Multiplicative method, which the method has the lowest MAPE, MAD, MSD. And for the new method we can minimize of lost sale. For model 6 slot we can reduce of lost sale from 62 to 32, for model 12 slot from 124 to 74, and for the 24 method we can reduce of lost sale from 304 to 180. By using this method, we can prepare how many items we have to produce in the future. It can also increase the company's sales results.Keywords: Forecasting demand, Planning, Time Series Decomposition, Target Profit.

Performing an Effective Business Process to Overcome Defect and Delay in Manufacturing Sportswear Product by Using DMAIC Approach Panjeraino, Haykal Satria; Farmaciawaty, Desy Anisya
Journal of Innovation, Business and Entrepreneurship Vol 4, No 2 (2019)
Publisher : Journal of Innovation, Business and Entrepreneurship

Show Abstract | Download Original | Original Source | Check in Google Scholar

Sport as an industry has been growing so fast in Indonesia market, make so many of sportswear brand come and rise in this industry. For that, every brand have to make sure that every aspect of their business are work with improvement if they want to survive on this environment of tough competition. One of the most important aspects is operational, where the sportswear product will directly use by the customer. If the product is not good, the brand either.This research discusses the way to reach operational excellence in the company as one of the important aspects to run a business. Aims of this research is to implement the improvement of production lead time in one of the sportswear SME that apply ‘Made by Order’ type of production. Six sigma approach will be used on this research to improve the operational aspect in the company, which was initially comes from the 1990s in a manufacturing company for manufacturing and transactional processes. Six Sigma has proven successful in decreasing lead time or variation, bring up customer satisfaction, and make profit significantly increasing.One of the Six Sigma tools that will use on this research is DMAIC (Define, Measure, Analyse, Improve, and Control), a step-by-step to find the critical process in order to identified and remove the bottle neck, so the production lead time will be reduced with the good quality on production result. In Define step, defined the problem which occur in Panjers. Then the next step is Measure, in this step measured the losses of Panjers and calculate the lead time by explaining all the business process. After knew the losses and already knew the lead time, next step is Analysed the bottleneck and the cause of bottleneck by using fish bone diagram. Then knew the root cause of the problem and gave the solution for improve the business process and decrease lead time. To maintain the improved business process, the next step is controlling, which will use PDCA (Plan, Do, Check, and Act) tools for this step.Keywords : Six Sigma, DMAIC, Business Process, Made-by-Order, Production Lead Time

Factors that influence customer purchase intention in using online food ordering platform Nuraisyah, Mala; Chaldun, Evy Rachmawati
Journal of Innovation, Business and Entrepreneurship Vol 4, No 2 (2019)
Publisher : Journal of Innovation, Business and Entrepreneurship

Show Abstract | Download Original | Original Source | Check in Google Scholar

The internet has influenced the lifestyle of people in Indonesia, including the Indonesia culinary industry. The culinary industry is the largest creative industry in Indonesia. Based on data from Badan Pusat Statistik (BPS), culinary contributed 33% to the total GDP for the Creative Industry. The purpose of this research is to investigate the factors influencing the customer in using an online food ordering platform. In some papers that are used as a reference, some variables are moderating factors on attitude and then purchase intention. However, in this research, the researcher wants to see the variables directly without using moderating factors attitude or other variables.A quantitative study was conducted among 203 respondents. Data were analyzed using multiple linear regression using SPSS for windows. Empirical results show that there are significant correlation between independent variables (trust and perceived ease of use) towards the dependent variable (purchase intention through online food ordering platform). Meanwhile another dependent variable (novelty, freshness and perceived risk, Perceived of usefulness) was not significant correlation to independent variable.Keywords: CUSTOMER PURCHASE INTENTION, ONLINE FOOD ORDERING PLATFORMS, TRUST, PERCEIVED EASE OF USE, O2O

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name
-

Contact Email
-

Phone
-

Journal Mail Official
-

Editorial Address
-

Location
Kota bandung,

Jawa barat

INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name -

Contact Email -

Phone -

Journal Mail Official -

Editorial Address -

Location Kota bandung, Jawa barat INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
-

Contact Email
-

Phone
-

Journal Mail Official
-

Editorial Address
-

Location
Kota bandung,

Jawa barat

INDONESIA