bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Effort to Increase the Potential of Virgin Coconut Oil with Pendawa Technique
Authors: Sapatra E F , Yuniarti I , Imamsyah R A S 
Published: September 2019

Abstract
In order to overcome the disadvantages of conventional method, innovations on how to produce coconut oil were applied with the technique of PENDAWA (Pendayagunaan Asam Jawa). Coconut oil comes from coconut milk which is the substance between oil and water (emulsion). So to get coconut oil, acid is needed as an emulgator to break down emulsifying substances. In this case, Tamarind is used because it is cheap, available, contains a lot of antioxidants, and is efficacious. Coconut oil contains medium chain saturated fatty acids, namely MCT (Medium-chain triglycerides) where MCT provides extraordinary health enhancing properties. We compared three types of coconut oil, namely coconut oil in the traditional way, coconut oil with the addition of tamarind, and packaging oil on the market. The result was coconut oil with the Pendawa method very good in quality and quality with FFA 0.0067% and peroxide number of 1.5 mg ek/kg. In conclusion, this oil production with the PENDAWA method is very effective, efficient, high in quality, and provides high profit for the industry that wants to produce it.
Design and Manufacture of a Low-Cost Data Acquisition Based Measurement System for Dual Fuel Engine Researches
Authors: Sinaga N , Yunianto B , Purba D , Syaiful  , Nugroho A 
Published: September 2019

Abstract
The role of data acquisition based measurement system in the researches is essential since it delivers many advantages compared to the manual arrangement. Nevertheless, its cost is comparatively high, then it becomes an obstacle, particularly for researchers in producing nations. The purpose of the study was to obtain a low-cost data acquisition system which has good performance when used in the research of dual-fuel engines. The study included a selection of variables, components and sensors, programming, and calibration. The Arduino based data acquisition system was chosen, which was relatively cheap and easy programming. The sensors/transducers consisted of three K-type thermocouples, three load cells, one proximity sensor, and one DHT-11 sensor. Programming of data acquisition systems was facilitated by using Arduino IDE software. The display and data recording were done in Microsoft Excel software, with the help of PLX-DAQ software. In this study, a low-cost data acquisition based measurement system had been successfully developed, which had low uncertainty, low hysteresis, and excellent repeatability. It is concluded that the system is very suitable to be used in dual fuel engine researches to measure engine speed, fuel discharge, gas fraction, torque, power, brake specific fuel consumption and brake thermal efficiency.
The Literature Review of Cloud-based Enterprise Resource Planning
Authors: Aulia R , Putri A N , Raihan M F , Ayub M , Sulistio J 
Published: September 2019

Abstract
Enterprise Resource Planning also called ERP is a system that is integrated into business processes in a company, some of the benefits of implementing ERP are higher productivity, better insights, accelerated reporting, lower risk, simpler IT and improved agility. However, ERP also has several disadvantages such as high costs, maintenance costs and this became a common problem when using the ERP system. One way to cut high costs is to use cloud computing. Cloud computing is pools of configurable computer system resources and higher-level services that can be rapidly provisioned management effort, often over the internet, cloud computing also can be the solution for companies that want to implement ERP system with low prices. In this paper, we collect several journals about cloud computing and ERP system and combine that into one literature, and this paper discusses methodology, metadata analysis and future journals related to cloud computing and ERP system
The Design of Auxiliary Tool for Flat Motorcycle Tires using the Axiomatic Design Method
Authors: Purnomo H , Kurnia F , Virdyanawaty R I 
Published: September 2019

Abstract
Motorcycle users always deal with difficulties if their motorcycle tires are flat when riding in a place far from a tire repair shop. Distance is a problem that can make a flat tire quickly damaged when the motorcycle keeps forced to drive. Based on the aforementioned issues, a temporary flat motorcycle tire auxiliary tool is needed to serve as a tool that can deliver a motorcycle until it can be repaired at a tire repair shop. The method used in the design was the axiomatic design method. This method was used to determine design parameters using the mapping process. Surveys were conducted to identify customer attributes by distributing questionnaires to identify customer attributes which were then mapped into functional requirements and design parameters. The results of this study were 4 attributes based on consumer desires, among others, motorcycle wheels spinning with auxiliary wheels, easy to install, safe for bumpy roads, and robust enough to support the motorcycle body and rider.
Design Key Performance Indicator for Sustainable Warehouse: A Case Study in a Leather Manufacturer
Authors: Kusrini E , Ahmad A , Murniati W 
Published: September 2019

Abstract
This research discussed the design of Key Performance Indicators (KPIs) for sustainable warehouse for leather manufacturing industry. A thirty four indicators are found from literature study and validated by experts using likert scale. A number of 30 KPIs are declared valid then suggested to be KPIs for sustainable warehouse for leather manufacturing industry. The KPIs consisted of 12 economical indicators,10 social indicators and 8 environmental indicators. To find out the priority of each KPIs, then their importance weight are identified using analytical hierarchy process (AHP) by sending AHP questionnaire to experts. The result shows that Economical factor is the most dominant factor (0,4796) followed by social factor (0,4055) and environmental factor (0,1150).The KPIs and its weight can be used as guidance for leather manufactures to increase their sustainable performance.
Analysis and Characterization Helm Based on Hyacint Water Composites
Authors: Albab S A , Sulistyo  , Nugroho S 
Published: September 2019

Abstract
Material engineering in the field of natural fiber composites has potential prospects. The availability of natural resource was very abundant. Composite with natural fiber reinforcement was called Bio composite. The promising natural resource were water hyacinth. Water hyacinth was a source of fiber that can be used optimally as a filler in composites. Bio composite properties are be affected by several factors including filler volume, process parameters and filler interface properties in the matrix. The use of water hyacinth bio composite was developed as a substitute for shipbuilding materials, board and leg sockets for prosthetic limbs. This research identified the nature of fibers as fillers in the application of motorcycle helmet that meet Standar Nasional Indonesia (SNI). Hyacint fibers are made from water hyacinth plants, the plant is dried by sun shine. The material was crushed into powder and woven fibers with yarn spinner and the both materials are mixed using resin. The bio composite was tested by tensile test and impact test using variations weight fraction. The best high strength of bio composite was used as material helm shell by using a vacuum bagging system. The value of Impact absorption strength and penetration testing will be tested on helmet shell composites. Tests conducted on bio composite helmets are carried out to meet standard safety according to SNI 1811: 2007.
Relationship Analysis between Company Standard, SNI, and International Standard in Washing Machine: A Case Study at an Electronic Company
Authors: Bakhtiar A , Widharto Y , Rinawati D I , Nurfajrianti M 
Published: September 2019

Abstract
PT XYZ is an electronic company that produces some electronic goods, one of which is a washing machine. In 2014, the product has been certified and labeled SNI on its products. SNI is a national standard established by the Indonesian government as a reference in producing or marketing goods in Indonesia. This is done as a protection measure for consumers. In addition, SNI is used as a standard for producers to penetrate international markets. However, the SNI does not specify the overall components of the goods. In the SNI document, there is no provision on the material that must be used, the size that must be imposed, so the company can develop the design, material and size of the product in detail. Development of standards outside the SNI conducted by the company herein after referred to the company standard. Company standards can be derived from innovations and product experiments conducted by the company or can also come from other standards adopted by the company, as an example is international standards on washing machine products. Thus there are several standards used in one washing machine product. For that in this research will find the relation between standard used in one product of washing machine by using case study analysis approach.
Project Scheduling of New Product Development Process in Automotive Industry in Indonesia Using Design Structure Matrix (DSM)
Authors: Reza C M , Dachyar M , Nurcahyo R 
Published: September 2019

Abstract
Innovation technology and development of customer needs diversification drive products to be more complex and the complexity changes the product life cycle become faster than before. Many industries try to create a more rapid new product development (NPD) process in order to enter the market and gain customer earlier than their competitors. Therefore, optimal timing and scheduling become important factors in the success of NPD process. This paper aims to perform project scheduling in NPD process of automotive industry in Indonesia by using Design Structure Matrix (DSM) and the result was compared with Critical Path Method (CPM) as one of conventional project scheduling method. DSM manage every task and information flow within a project including possibility of rework activity that might be occurred in NPD process. The results showed the scheduling technique using DSM calculated shorter development process duration rather than using CPM. DSM also considered possibility of rework activity that might be happened in the real situation.
Modelling and Analysis of Manufacturing Process Layout
Authors: Siregar I , Saedon J B , Adenan M S , Shawal S , Othman M F 
Published: September 2019

Abstract
Manufacturing layout is an arrangement of more than two elements in a manufacturing plant. Process layout shows the layout of elements which running certain process cycle at a certain sequence. Through simulation software, process layout can be simulated and predicted the outcome of the certain model layout before it is implemented. An activity that is conducted in this study such as time study, line balancing and production line re-layout. Furthermore, lean manufacturing tools such as takt time calculation and Yamazumi chart is utilized in order to improve the mechanism in this study. Commercial software is used in order to simulate a model of manufacturing layout and increase the efficiency in the model. These simulated results were compared with the current process layout. The proposed new production plant layout showed promise in its application. However, approaches and layout models need to be evaluated in application to ensure usability so that it is effective and efficient in its performance. The layout of the proposal has increased overall line efficiency which shows an increase of 19%.
Application of SMED Methodology and Scheduling in High-Mix Low Volume Production Model to Reduce Setup Time: A Case of S Company
Authors: Wang S S , Chiou C C , Luong H T 
Published: September 2019

Abstract
Nowadays rapid changes in consumer demand determines the production model. The demand for “single and large quantity” products has gradually turned into a “high-mix and low volume” product demand. The main problem of high-mix low volume model is significantly increasing frequency of set up, causing an increase in set-up time for production. For set-up reduction strategies, Shingo (1985) proposed single minute exchange of die (SMED) methodology. The SMED methodology makes it possible to reduce setup (changeover) operations time within 10 minutes. Therefore, in this study take a cable processing company as a case for improvement. The potential of faster setup cannot be completely achieved with SMED method. So, in this paper, it also provides an optimized scheduling reference indicator for the molding machine that decision makers to determine the sequencing rule of scheduling by each criterion through the system to achieve maximum benefit for company.
Extended-RSA for Encryption Process to Improve Application Server Availability
Authors: Susanto A , Herman  , Putranto M I , Utama D N , Wibowo A 
Published: September 2019

Abstract
Every enterprise stores and operates its transactions confidentially, therefore it has to encrypt the transaction to protect it from data intruders. Technically, most encryption processes are ranging from hundreds of milliseconds. If there is a lot of encrypting process, then the performance will be getting bottleneck and the transaction’s speed is being slowed down. In this paper, a promising scheme by adding GZIP compression on the former RSA encryption method to increase speed is proposed; thus every transaction is going to require less times, therefore the number of failed transactions or requests will be reduced. Hence, this way makes the transaction easier for customers to do. The result of little experimental test shows that using XOR to stream cipher-text to replace the absent of padding into specific bytes shows a lot of performance increase resulting other factors such as availability also affected without sacrificing the security level.
Application of Risk Identification, Risk Analysis, and Risk Assessment in the University Laboratory
Authors: Budihardjo M A , Muhammad F I , Rizaldianto A R 
Published: September 2019

Abstract
Currently, the presence of laboratories has become a difficult thing to be separated from the learning system in the university. Moreover, there are many universities that have begun to encourage their students and lecturers to do researches more frequent, for needs both of lecture activities and theses. These conditions trigger the laboratory management to improve their service quality, such as through improvement of the comfortability. From this improvement, it is expected to increase the productivity of people who are doing their activities in a laboratory. However, while the working productivity is being prioritized, there is a problem that is often forgotten, namely health and safety environment. An unhealthy working environment has the possibility to cause stress to people who are working in it. Hazard potentials that exist in a laboratory are caused by the use of reagents and research equipment. To prevent the occurrence of these hazard potentials, deep understanding of risks potential in a laboratory is needed. Based on a research at XYZ Laboratory, a risk analysis and risk assessment are needed to be done by a laboratory, which is often used by students and lecturers in a university, with the purpose of determine the severity and likelihood level of an incident happened. Furthermore, AS/NZS 4360-2004 method, which is used in this research, is also a method to determine the priority of how handle a risk and what is the best step to prevent it.
The Influence of Green Supply Chain management on Company’s Performance and Competitiveness in Wood Furniture Industry: An Overview of Conceptual Model
Authors: Likumahwa F M , Purwaningsih R , Handayani N U 
Published: September 2019

Abstract
Based on the literature review, this research proposes a conceptual model to measure the influence of green supply chain management (GSCM) practice toward the performance and companies’ competitiveness in wood furniture industry in Jepara. The model shows how the performance and company’s competitiveness depends on GSCM practice. The conceptual model are consists of three hypotheses which are the influence of GSCM’s practice on company performance, company competitiveness and hypothesis, and the influence of performance on the company competitiveness. This research uses Interview and design questions by giving it directly to owners of the wood furniture industry as the respondents in testing the conceptual model empirically.
Material Handling Performance Measurement and Metrics for Internal Milk-Run Area using Overall Transportation Effectiveness. Case Study: Automotive Industry
Authors: Putra F M A M , Ridwan A Y , Astuti M D 
Published: September 2019

Abstract
Overall Equipment Effectiveness (OEE) is a formula that is used to measure productivity and diagnose system deficiencies in equipment level. In traditional usage, these matrix formulas have the disadvantage of detecting the internal milk-run method in its application. In order to address this gap, Overall Throughput and Overall Transportation in milk-run concept were developed to understand the overall productivity in manufacture using milk-run concept. The goal is twofold: measuring the productivity in manufacturing ratios seen from the product flow during entering the plant and when it exits from the production process, and can be carried out diagnostic internal milk-run on the production area. This journal describes the OTE(Tr) development methodology, which can improve productivity with continuous production of products and engine capacity flow in manufacturing, which is the combination product and more supply in raw material supply in the production line. The OTE(Tr) is only used for material handling outside of manufacture, metrics transportation in this case will be adjusted in material handling equipment concept. Framework Implementation in the study case: Industry automotive can be identified as a whole plant.
The Main Critical Risk in the Supply Chain of Component Automotive Industry: A Case Study
Authors: Alitosa F , Kusumah L H 
Published: September 2019

Abstract
In automotive component company that produce electric components their supply activities have the opportunity to arise risks. Therefore, is necessary to identify and analyze critical risks or disturbances that are likely to arise and mitigate risks in operational activities in the component automotive supply chain. This research was conducted with using a house of risk model consisting of 2 phases. The first phase is identifying risk and agent risk, which then measure the severity and insurance level and calculate the aggregate risk priority (ARP) value. The second phase is handling risk. After doing research risk mitigations which were prioritized to be realized were review the current SOP and control the implementation, make punishment policy that does not to according to the SOP, maximize supervision to subordinates, discussions with customers for specific policy change in each issue, improve production and inventory control performance, arrange engine maintenance programs according to production capacity, discussion to review contracts with suppliers, strengthen implementation TQM in supplier and look forward to more long term potential supplier.
Integrated Batch Production and Multiple Preventive Maintenance Scheduling on A Single Machine to Minimize Total Actual Flow Time
Authors: Yusriski R , Astuti B , Ilham M , Zahedi  
Published: September 2019

Abstract
We discuss the problem of batch production and multiple preventive maintenance (PM) scheduling on a single machine. On batch production systems, there is a situation that PM activity should be executed at the time when the machine is processing the parts on a batch. Delaying that action could cause an increase in the possibility of a rejected product. However, applying the PM action would interrupt the process and also need an additional setup when starting the process again. It could impact the longer total flow time. This research proposed two algorithms (the optimal and the heuristic algorithm) which integrated both of batch production and multiple preventive maintenance schedules. The performance of the algorithm measured by minimizes the total actual flow time. Experimental results show that the effectivity of the heuristic algorithm is between 66% until 100% from the optimal algorithm.
Environmental Performance in Indonesia Automotive Industry
Authors: Bintang G A , Nurcahyo R , Gabriel D S 
Published: September 2019

AbstractA large number of firms still view the environmental protection as barrier to profitability or as a regulation to comply with rather than fundamental business strategy leading to a sustainable competitive advantage. Another research is argue integrating environmental issues into business strategy can become a strategic opportunity for companies. The capacity to formulate strategy leads to competitive advantage when aligned with the environment. This research aims to examine impact of environmental performance on firm performance. The survey is conducted on automotive companies in Indonesia. Literature study are conducted to obtain criteria of environmental management system, environmental performance and firm performance that will be used as variables in this research. The data is collected using questionnaire and analysed by experts in automotive industry. Pilot test of questionnaire is conducted in this research. The result of this research shows that the questionnaire has good validity and high reliability.
Business Intelligent in an E-Commerce Industry
Authors: Purnamasari A M , Pah C E A , Yoga M D I , Girsang A S , Isa S M 
Published: September 2019

Abstract
According to a survey from statista.com about in 2017, retail e-commerce sales worldwide amounted to 2.3 trillion US dollars and e-retail revenues are projected to grow to 4.88 trillion US dollars in 2021. Each year, e-commerce business increasingly popular. Some retail companies finally decided to focus on internet-based sales to get more customers. Along with transactions that continue to be carried out from year to year, transaction data continues to be stored and stacked and of course space consuming. So after years, Business Intelligence is finally appeared and offer great data processing. Without a business intelligence, these stacked big data are useless and wait to be removed because of poor knowledge. Business intelligence turns on the poor knowledge data into rich knowledge data visualization. This paper proposed a data warehouse that can be used to build a business intelligent with utilize information obtained from the history of transactions. To build up this business intelligent, authors uses methodology steps by Kimball which consists 4 steps of dimensional design process. Furthermore, data analysis will be presented in a dashboard using Power BI.
Implementation Fugl Meyer Assessment of Lower Extremity Method to Develop a Post-stroke Rehabilitation Procedure Using ITS Tricycle
Authors: Febritasari R , Batan I M L 
Published: September 2019

Abstract
Stroke rehabilitation procedure with tricycle is arranged according to health standard especially stroke patients. The procedure consists of vital sign examination, Six Minute Walking Test (6MWT), and Fugl Meyer Assessment of Lower Extremity (FMA-LE). As the implementation of procedure, five respondents of stroke patients who had passed the critical period and are carrying out physical therapy in RSU Haji Surabaya take therapy by using tricycle. The results showed that the respondents have motor function score improvement from low to very good category. While based on fitness, the respondents have improvement of VO2maks capacity from 27.714 mL/(Kg.min) to 29.424 mL/(Kg.min). It can be said that the tricycle has a great meaning for stroke rehabilitation.