Explore the vast range of titles available.

This research was conducted on industrial agriculture in Indonesia. Risk analysis was carried out based on previous research. One source of risk was obtained, namely raw materials that did not meet specifications, which was then proposed to be mitigated by evaluating supplier performance. This activity involves a lot of data, requiring efficient and effective data storage and access. The level in the simulation layout includes analysing system needs, using problem diagrams, compiling activity diagrams, deciding subprocesses, and filtering information. The analysis is carried out by comparing the use of supply chains with Blockchain and without Blockchain, which is then obtained to determine whether there is an increase. A sequentially stored data scenario describes a situation when the transaction process is in progress and is stored sequentially according to the process that occurs. Storing data in groups explains a problem when a transaction has been completed and stored in groups with similar data, making it easier to track specific data. In this regard, a simulation will be carried out using a website, namely a blockchain demo. The design stage starts with identifying system requirements, creating use case diagrams, compiling activity diagrams, determining subprocesses, and selecting information. The simulation results obtained will be analysed to determine the feasibility of Blockchain as a means of supporting risk mitigation related to data using aspects, including security, trust, traceability, sustainability, and costs.

Inventory control in a production process needs an optimal management to prevent production delay and be able to meet its recruitment. Its condition is affected by the quantity and time accuracy which hold impact of the production process. This study aimed to know whether the inventory in PT. XYZ, a detergent manufacturing company in Tangerang city, was in optimal condition and what are the affected elements using the Bayes-fishbone method. Bayes-fishbone method will show the biggest to the smallest causes of a problem through a visual representation. Later it's discovered the biggest factor of stock out inventory is 33% by the returned goods material and misfit quantity, 25% by miscommunication with supplier, 17% by bad weather causes lateness, 15% by long lead time, and 10% by sluggish machines. Improvement attempt can be done by figuring out the safety stocks. By using the datas of inventory demands and fulfillments with 90% as the safety factor, the result for each safety stocks are 24 kgs for inventory 1310100000146000, 2.645 kgs for inventory with code 450200000115000, 512 kgs for 1410400000259000, inventory 1010200000454000 needs 18.999 kgs, 55 kgs for 1480200000456000, 1.352 kgs for 1460200000457000, and 587 kgs for inventory with code 1410100000465000.

PT. XYZ is a company that engaged in cleaners and detergent industry. The unbalance of the production line which is caused by the unequal of work responsibility distribution in each work station that caused the performance of line balance doesn't work properly. With line balancing in production system will increase the efficiency of production. Line balance method that used to solve these problems is Rank Positional Weight method, Kilbridge-Wester method, Largest Candidates Rules, and Moodie Young method. Beginning of efficiency is 55.73%, balance delay is 44.27%, and smoothness index is 3.96 seconds with 5 work stations. By using the Rank Positional Weight method, Kilbridge-Wester method, Largest Candidates Rules, and Moodie Young, obtained efficiency results of 69.66% and balance delay of 40.34% with a total of 4 work stations. The results for smoothness index using Rank Positional Weight method and Moodie Young is 2.96 seconds, while Kilbridge-Wester method and Largest Candidates Rules is 2.675 seconds. Therefore, Kilbridge-Wester method and Largest Candidates Rules is the best method because the efficiency increased by 13.93%, balance delay decreased by 3.93%, and smoothness index decreased by 1.285 seconds from the beginning line.

Quality control is a process that essentially renders the entity as the quality reviewer of all the factors involved in the production activity. Quality Control process of each company is a very important thing to do. One method that can be used in the quality control process is Quality Control methods at PT. Straightway Primex. PT. Straightway Primex was established in 1989 is a company that produces photo frames and has 1500 employees. PT. Straightway Primex produces 9 products consisting of wooden frame, shelving, baroque frame, mirror frame, tray, ledges, corbel, and mini furniture and has 19 machines used in the production process to produce the product according to the pre-order customer. The Quality Control division is very influential in the manufacturing process of its production, one of which is timber frame. Quality Control can minimize the defect that occur. The method used is the Bayes-Fishbone method and analyzed the P-control map for the top three defect. Bayes Fishbone used has the highest percent is on the man and machine factor of 30%. Defect on picture frame type OTS 311 size 16 x 20 cm The largest Expresso color is defect less spray amounting to 32.90% with a Defect amount of 101 pieces. Meanwhile, the smallest defect in the photo frame type of OTS 311 size 16 x 20 cm expresso color is defect rupture of 0.65% with 2 pieces of defects.

In many developed countries, many business incubators take part to help starts-up company to develop their own business; especially the baby born business cannot compete with the giant industries that have become the old business players. Universities play an important role in motivating young graduates to become technology entrepreneur. Unemployment in Indonesia is still the main issue for the government program to increase welfare in the future. In year 2014 the data from Statistic Center of Indonesia state that Indonesia has 4% unemployment from Indonesia' work generation. In Indonesia, incubators has been developed since 1992 initiated by the government, Cooperative Department and also universities. This effort continued in 1997 when there was a program called the Development of Entrepreneurship Culture in universities, and of its activity was New Entrepreneur Incubator. The objectives of the research are to investigate the success factor for e-business incubator, and to propose and develop a framework for successful e-business incubator for public universities in Indonesia. Research location is in Indonesia for the public universities that have their e-business incubator. This research will conduct quantitative and qualitative analyses based on data collection from incubator managers and business founders in Indonesia. The result of this research is a framework for successful e-business incubator in Indonesian public universities.

CV Oto Boga Jaya (Oto Bento) is one of the largest industries which is producing Japanese food that is located in Bogor City and has many franchise partners throughout Indonesia. CV Oto Boga Jaya has the most significant problem and complained by most employees and operators (interview results) is a matter of factory layout between the raw material warehouse and the production area where the position of the two departments has an excess of more than 29 meters and takes time more than 10 minutes for one move. Therefore, researcher conducted observations and data processing with systematic layout planning (SLP) methods to design a new factory layout for CV Oto Boga Jaya. The processed data is the Operation Product Chart (OPC) data by selecting the product that has the highest and longest production process named shrimp roll, routing sheet, material handling costs, and initial layout as a reference. Then after conducting the research, the results obtained are in the form of 2 alternative layouts with distances and positions of different departments that have been processed in the FTC, ARC, ARD, AAD. The results of this study were chosen alternative layout 2, because it has shorter inter-departmental distances, a more orderly production / administration process, and fewer room intersections compared to alternative layout 1.

PurposeThis research studies the development of the evolving dynamic system model and explores the important elements or factors and what detailed attributes are the main influences model in achieving the success of a business, industry and management. It also identifies the real and major differences between static and dynamic business management models and the detailed factors that influence them. Later, this research investigates the benefits/advantages and limitations/disadvantages of some research studies. The studies conducted in this research put more emphasis on the capabilities of system dynamics (SD) in modeling and the ability to measure, analyse and capture problems in business, industry, manufacturing etc.Design/methodology/approachThe research presented in this work is a qualitative research based on a literature review. Publicly available research publications and reports have been used to create a research foundation, identify the research gaps and develop new analyses from the comparative studies. As the literature review progressed, the scope of the literature search was further narrowed down to the development of SD models. Often, references to certain selected literature have been examined to find other relevant literature. To do so, a supporting tool (that connects related articles) provided by Google Scholar, Scopus, and particular journals has been used.FindingsThe dynamic business and management model is very different from the static business model in complexity, formality, flexibility, capturing, relationships, advantages, innovation model, new goals, updated information, perspective and problem-solving abilities. The initial approach of a static system was applied in the canvas business model, but further developments can be continued with a dynamic system approach.Research limitations/implicationsBased on this study, which shows that businesses are developing more towards digitalisation, wanting the ability to keep up with the era that is moving so fast and the desire to increase profits, an instrument is needed that can help describe the difficulties of the needs and developments of the future world. This instrument, or tool of SD, is also expected to assist in drawing future models and in building a business with complex variables that can be predicted from the beginning.Practical implicationsThis study will contribute to the SD study for many business incubator research studies. Many practical in business incubator management to have a benefit how to achieve the business performance management (BPM) in SD review.Originality/valueThe significant differences between static and dynamics to be used for business research and strategic performance management. This comparative study analyses some SD models from many authors worldwide. Their goals behind their strategic business models and encounter for their respective progress.

PT. Skala Maxima Griya Workshop 1 is a company who produces TV cabinets. Raw materials stored in Workshop 1 warehouse are very piling up to over stock. Forecasting is done using a method that is in accordance with the request pattern. Then the best forecasting method is chosen based on MSE, MAD, SDE, MAPE, ME, and MPE the smallest. Forecasting results are used to create a MPS. The data from the MPS is used to calculate safety stock and make product MRP. The results of MRP products are used to calculate gross requirements, lot sizing, and MRP of raw materials. This research uses lot sizing technique EOQ. After calculating the results obtained that the selected forecasting method is DES with alpha 0.1. The safety stock calculation also shows good results where the safety stock that must be prepared by the company is not too much the majority of value if in the round up is 1. The MRP calculation with lot sizing EOQ also shows a good thing where there is a savings in raw material costs of Rp 10,800,000 .00 or 54.18% after using this method.

PT XYZ is a manufacturing company engaged in advertising and producing signage. The problem that occurs in the raw material warehouse and has no fixed rules in raw materials placement. This study aims to redesign the layout of raw material warehouse for signage manufacturing company to reduce the distance of raw materials movement and raw materials arrangement. The method used in this research is a class-based storage method. The improvements of raw material warehouse layout applied by considering the order of activities, class formation, current warehouse area, and calculating the total distance of the movement. Based on the data calculation results and improvement reduce the space of warehouse requirement for amount 23,98% to 16.12%. The distance of raw materials movement also decreased, from 755.211 m to 522.587 m. First layout alternative gives the best solution that will reduce material handling costs, will reduce the distance of raw materials movement, and will reduce the time of raw materials movement.

This study aims to identify the cause of defect produced at PT Purinusa Ekapersada. Quality control (QC) is a process to measure the quality of an item by comparing it according to the specifications and requirements asked by the customer, or it can be said also as an effort to maintain the quality of the goods produced in accordance with predetermined specifications based on the customer's request. The method used to reduce various types of defects produced by PT Purinusa Ekapersada was analyzed using the Pareto diagram to indicate the type of defect and the most of the control chart that produced defects were still within the control limits, a fishbone diagram describe various disabilities, and a 4M1E Why Analuysis to determine the causes and consequences of events.