bluuebunny/crossref_metadata_2025_split huggingface dataset:
Truck Assembly Line Reconfiguration to Reduce Cycle Time with Lean Manufacturing Approach in the Indonesian Automotive Industry
Authors: Yudhatama J , Hakim I M 
Published: December 2020

Abstract
The automotive industry is one of the industries that plays a major role in Indonesia’s revenue sources, one of which is in meeting daily needs, especially for transportation and logistics. This causes the growth of truck production targets each year and has become one of Indonesia’s focus to target 1.29 million trucks produced in 2020. This study aims to minimize production time with the optimal number of workstations to minimize costs that will come out for increasing production capacity in truck assembly lines in Indonesia. The study was conducted with a lean manufacturing approach to analyze the waste contained in the assembly line. The study began by calculating time for each work using the time study method. The time obtained is then inputted to the mixed integer linear programming mathematical programming model developed in the LINGO 17.0 software. The result of data processing in the LINGO 17.0 software is the allocation of each job to the new workstation to get the production cycle time in accordance with the production takt time, and also the total idle time of the new assembly line.
The Effect of Sugar Concentration, Citric Acid Concentration and Storage Time on Orange Syrup’s pH Using Completely Randomized Factorial Design
Authors: Ishak Aulia , Siregar Khawarita , Asfriyati  , Safira Miftah 
Published: December 2020

Abstract
One of the company in industrial product is orange syrup company. The quality of orange syrup can determine the success rate of company. Orange fruits contain acidic pH that can affect syrup quality depending on affecting factors. By using randomized factorial design, which consists of 3 factors, each factor consists of 2 factor levels, sugar concentration (50 gr and 70 gr), citric acid concentration (0.5 gr and 1 gr) and storage time (1 day and 3 days), this experiment was conducted using the axbxc fixed model with factorial 2x2x2 and 3 replications. Based on ANOVA table, there is a significant effect given by sugar concentration, citric acid concentration and storage time with F result = 0.532 > F table = 0.476. but there are no significant effect by conducted one or two factor only. The regression equation obtained is Y = 3.317 + 0.002 X1 + (-0.717) X2 + (-0.046) X3. For the correlations coefficient this research concluded that sugar concentration with value of 0.095 gives very low effect, citric acid concentration with value of -0.813 gives very strong opposite effect and storage time with value of -0.208 gives very low opposite effect on orange syrup’s pH.
Optimalization HDPE Pipe Raw Material Using Simulation Model in PT. X
Authors: Napitupulu Humala L. , Sebastian Simamora Jeremi 
Published: December 2020

Abstract
PT. X is an industrial company engaged in the production of pipes. In producing HDPE pipes, the company uses various raw materials ordered from foreign suppliers. The raw material needed in the HDPE pipe production process is HDPE plastic seeds. The company orders raw materials to meet existing demand, inventory stocks often experience differences with demand and orders are made if there is not enough supply to meet demand, Shipments of materials in containers via sea transport with a square off time of 1 month. In practice the number of orders is determined based on the number of requests in 1 month. In this study the method used is a simulation to determine the optimal HDPE raw material order quantity with total inventory cost (Total Cost Inventory) as a comparison, the order size determination is also carried out using the probabilistic EOQ method. The optimal order size with the Q system for a reorder point of 60,000 kg is 80,000 kg and a total inventory cost of 378,465,389, -.
Multi-criteria as decisions
Authors: Nasution Mahyuddin K M 
Published: December 2020

Abstract
Multi-criteria derived from features have become character objects. When measurements are made of them by weighting methods, each criterion is a decision. Thus, criteria as object behavior may be static or dynamic. As a decision, multi-criteria require analysis and modeling to become an optimal decision. Various models and methods of finishing are available but require special attention. Therefore, this paper describes the relationships between them briefly. However, when each criterion is a decision, then modeling of multi-criteria is a decision, the use of the different methods and the results are also as a decision.
Shorten Lead Time of the Procurement Process in Aluminium Smelter
Authors: Buandra Ade , Hutauruk Duan Ricky , Ramadhani Mazaya Dini 
Published: December 2020

Abstract
Aluminium Smelter as a specific manufacture, certainly has various types of needs both in terms of materials, services and spare parts. This difference causes longer duration of procurement lead time which can cause disrupted production processes. Procurement Department as a department that serves the purchase request identifies the source of the problem that causes the procurement lead time process does not meet the standard lead time 45 working days for goods & 60 working days for service. By using Ishikawa’s Fishbone and Fault Tree Analyst, it was found that one of the causes of the long lead time of the procurement process was policy. Improvements were made in various aspects such as changes in procurement methods, authority, etc. In the 2019 SKDIR Procurement regulatory application, improvements in goods lead time which were originally from 88.54 working days to 61.90 working days and services from 105.9 working days to 52.62 working days.
Effect of Wuluhstarfruit (Averrhoa bilimbi) electrolyte filtrate addition on making hydrogel aluminum battery based on carboxymethyl cellulose
Authors: Rajagukguk AH , Ginting MHS , Sundari E , Misran E , Iriany  
Published: December 2020

Abstract
This research aims to determine the effect of Wuluhstarfruit (Averrhoa bilimbi) electrolyte filtrate addition to ionic conductivity of hydrogel that produced and the electrical characteristics of hydrogel aluminium battery. The method used in hydrogel production is the gelatinization method. Based on this research, the best conductivity obtained is 1.286x10−2 S cm−1 from the combination of 2% CMC on the addition of 100 ml of electrolyte and 15 ml ethylene glycol and the highest voltage obtained from the assembled battery is 1.4267 V from the combination of 2% CMC in addition of 100 ml electrolyte and 15 ml Plasticizer. The best current obtained from this study is 13.391 mA from the combination of 2% CMC with the addition of 100 ml electrolytes and ethylene glycol plasticizer 15 ml. The best power obtained from this research is 19.105 mW from the combination of 2% CMC with the addition of 100 ml electrolytes and 15 ml ethylene glycol.
CO2 laser machining on alumina ceramic: a review
Authors: Umroh B , Ginting A , Rahman M N A 
Published: December 2020

Abstract
Alumina is widely used for engineering applications due to its strength, insulation characteristics, and, chemical and thermal stability. Alumina is commonly used in the automotive, aircraft, medical, and other industries. However, despite its desirable characteristics, this material is brittle and difficult to be machined. Some researchers and practitioners adopted diamond abrasive cutting process for alumina machining, but the lengthy machining time and excessive tool wear increase machining cost by 60-90%. One other alternative to the traditional machining method is laser Beam machining (LBM). The LBM process is characterized by good machining quality, environmentally friendly, and cost-effective because there is no tool wear, vibration, and cutting force. Those characters are of benefit to productivity. However, there are still issues reported such as microcrack and surface roughness during alumina laser machining that needs to be further investigated. This paper reviews the published works on alumina laser beam machining (LBM). The review focuses on the CO2 LBM system.
Synthesis of calcite-zincite nano composite materials using sol-gel auto combustion method
Authors: Sampath Kumar L , Shantha V. , Naik Chandrashekhar , Drakshayani D. N. , Kataraki Pramodkumar S. , Janvekar Ayub Ahmed , Ishak Aulia 
Published: December 2020

Abstract
Calcite-Zincite nano particles were synthesized by Sol-Gel Auto Combustion (SGC) technique. Modifying nanoparticles promote numerous advantages, such as, simplicity of synthesis, small heat for breakdown, regulation above the compound structure, small budget, dependability, repeatability, and moderate synthesis situations. One of interesting study on Sol-Gel auto Combustion technique has proven massive advantages as compared to other traditional methods. Presented work follow synthesized of novel nanoparticles. Research work was focused on characterized UV visible absorption spectroscopy and FTIR. The UV visible absorption spectroscopy shows an absorption band at 214 nm, 234 nm and 372nm due to calcite/zincite nano composite particles. FTIR spectra establishes a particular Calcite - Zincite nano powder obtained the characteristic peak of carbonate group at 1414 cm-1, 868 cm-1 (CaCo3) and 477 cm-1 (ZnO).
Influence of Static VAR Compensator Application for Improving Power Quality in Distribution Lines Supplied Industry
Authors: Rohana  , Hardi Surya , Tambunan J D A , Hasibuan Arnawan 
Published: December 2020

Abstract
The voltage drop in distribution line unavoidable but can be reduced until the allowable limit. The voltage drop occurred due to currents flow in impedance lines. Harmonics caused by non-linear loads that are often found in the industrial used electronics devices. This study is to discuss the application of static var compensator (SVC) to improve the power quality in distribution lines. Harmonics analysis of the loads industries are modelled as arc furnace and adjustable speed drive (ASD) using software ETAP simulation. The loads are connected to the IEEE 14 busses system. Fast decoupled method was used for investigating the voltage drop at each buss. Harmonics analysis was carried out to find harmonics level contents i.e., total harmonics distortion of voltage (THDV) and current (THDI). Values of THDV and THDI resulted are evaluated by state electrical company (PLN) standard. The load flow study result shows that there are some busses have voltage below the standard and harmonics analysis beyond the allowable limit but the voltage at Bus 14 is lowest, therefore SVC is connected to it. The results show all the voltage is fulfilling the standard. The SVC installation on this case is less significant it affects on mitigating harmonics.
Simulation model on the potato as the samples on the dryer operation module with thickness variation
Authors: Haryanto B , Sinuhaji T R F , Tarigan E , Bukit R Br. 
Published: December 2020

Abstract
During the COVID-19 virus impact on most areas in Indonesia, most of the teaching and research activities done at home. The idea to force the activity at home by giving the idea to research drying operation. It is the sample of how students can apply the drying operation at their home. The idea to dry the potato as the material sample was applied and have given the result the size or shape of the sample, the operation time and temperature impact the drying kinetics. As a result of drying at the open area and naturally were give the information has impacted the rate of drying. The type of shape was the most impacted in comparing the temperature and operation time.
Designing a Medical Device Marketplace Business Model Using the Lean Startup Method
Authors: Oshaviani Annisya Emma , Rochman Taufiq 
Published: December 2020

Abstract
Marketplace is a model of business where sellers and buyers do their selling and purchasing transactions online. Medical devices marketplace comes in application software that can be used as a place for promoting products that have a purpose to increase health quality in Indonesia. This application is called ‘MedMarket’ that stand for Medical-Market. The aim of this study is to design business processes that will be implemented and design product prototype according to market needs. So it can be solution to obtain various types of medical devices with good quality and competitive price in one application that will make it easier to look for the requested medical device. MedMarket is designed with lean startup method which consist of three stages: document the plan, identify the riskiest parts of the plan, and systematically test the plan to validate feedbacks from respondents. MedMarket has three main features which are verified sellers, products information, and the products are divided in several categories. Application’s prototype was designed with Adobe Xd software.
Design of Virtual Automotive Showroom with Augmented Reality Technology Using The Smartphone
Authors: Fahmi F , Alwy M 
Published: December 2020

Abstract
In an exhibition like an automotive showroom, it is usually not possible to display all the features of products directly to potential customers. Displaying products of cars with various colors, for example, had challenges due to several limitations. In this study, the researcher developed an application for smartphones that can interactively display a product of cars with different features in real-time. The development process was using Vuforia and 3D Unity applied in Android system. Customers can change the color of the car and see the animation through an Augmented Reality application. The system provides convenience to customers in obtaining information by displaying an animation of a certain product in real-time and gives benefits to the owner to promote their products uniquely.
Design of an IoT-based smart incubator that listens to the baby
Authors: Fahmi F , Shalannanda W , Zakia I , Sutanto E 
Published: December 2020

Abstract
In the industrial era 4.0, domestic baby incubator producers are facing the challenge of free trade of foreign products that will compete in innovation with the application of IoT technology. One of the opportunities that arise consciously or unconsciously at the NICU (Neonatal Intensive Care Unit) unit in Hospitals, in general, is that there are no facilities for parents to monitor the baby’s condition inside the incubator directly. The purpose of this research project is to build a prototype of an internet-based baby incubator monitoring system based on things equipped with various sensors that will send data to the server in real-time and mobile apps for monitoring facilities for parents, including the voice of the baby. This study focused on how to develop baby incubators that can listen to baby’s crying, capture the voice, and interpret it using artificial intelligence. More than 40 (forty) voice datasets were used and successfully classified into five possible terms of the baby’s condition: burping, sleepy, hungry, uncomfortable, and pain by energy signal and spectrum analysis. The benefit of this research is as a driver of innovation for baby incubator products that will support the national medical devices manufacturing company.
Measurement of Criterion Weight to Determine Industrial Area Location Using AHP for Economic Growth
Authors: Chumaidiyah E. , Dewantoro M. D. R , Hakimah D. A , Arffan Z , Robbi R. M. N 
Published: December 2020

Abstract
Industrial area is an infrastructure for the process of industrialization as a source that can trigger economic growth. Industrial areas that are structured and can support production operations are an appeal to foreign investors. However, the development of industrial areas requires careful planning because it impacts on the environmental carrying capacity and land loss. Therefore, industrial area development needs attention to a variety of important criteria as considerations in determining the location of an industrial area. This study aims to determine the criteria and measure the importance of each relative criterion to other criteria. The method used is Analytical Hierarchy Process (AHP). The results show that there are four important factors that need to be considered with each of the importance level, namely Infrastructure by 33.97%, Distance to Access by 31.74%, Land & Soil by 19.57%, and Production Factors by 14.72%. The four factors have ten important criteria that need to be considered in making decisions to determine the location of an industrial area where the two highest criteria are electricity infrastructure with a significance level of 19.05% and telecommunications infrastructure with an importance level of 14.92%.
Development of A Methodology for Selection And Assessment of Liquid Waste Processing Technology From Oil Palm Industry Using Analytical Hierarchy Process (AHP)
Authors: Ishak Aulia , Ali Amir Yazid bin , Lateh Hafnee , Ginting Rosnani 
Published: December 2020

Abstract
The waste produced by the palm oil industry contributes a lot to environmental damage if it is not operated properly. Waste consists 70% of raw material amount which is almost half in the form of liquid. There are many alternatives for treating palm oil industry wastewater, from the most advanced technology to conventional technology. The difficulty in choosing and evaluating and applying the most appropriate technology for certain companies from various alternative technologies is a big problem. Therefore, a Decision Support System has been developed to assist in identifying, evaluating and selecting the best technology for wastewater treatment. In this study, three operations have been developed in MySQL, a database for waste treatment technology; Introduction of criteria using the Analytical Hierarchy Process (AHP) approach. The AHP method is also a proven tool for the decision-making process for selecting palm oil industry wastewater treatment technology. This model in the palm oil industry, therefore the software database can be updated and the program algorithm can be modified according to user needs. This study can assist in decision making and optimize the reprocessing of liquid waste from palm oil mills.
A method for constructing a dataset to reveal the industrial behaviour of big data
Authors: Nasution Mahyuddin K M 
Published: December 2020

AbstractDataset is a set of data that becomes the standard for showing the behaviour of something. In this case, the industry. For this situation, the industry. Be that as it may, each dataset consistently has restrictions to help the prediction. The prediction is about the current conduct of the industry, where yet just exists in enormous information like in big data. This paper aims to construct a concept that describes a method for developing a dataset.
Stroke therapy using an interactive game with accelerometer and gyroscope sensor device
Authors: Fahmi F , Utomo N , Nasution I K , Sawaluddin S 
Published: December 2020

Abstract
Stroke is one of the diseases that have a long-term impact on people who suffer it. Patients are feared not only for the “sudden attacks,” but also for the after-effect due to the disease itself. The paralysis of certain limbs is very disturbing and even inhibits the activity of a patient’s life. The process of rehabilitation usually takes a long time, and the patients experience boredom easily. In the rehabilitation process, there are several tools needed by post-stroke patients, such as the use of motion aids and using memory exercise aids such as brain games. Here in this study, accelerometer sensors and gyroscope sensors were used to create a post-stroke therapy game. With this stroke therapy game, patients are expected to be happier to perform the process of stroke therapy and to make stroke therapy more fun, interactive, and can be done at home or elsewhere.
Decision Support System for Suppliers of Household Appliance with Analytical Hierarchy Process Method Using Super Decisions Software
Authors: Ishak Aulia , Siregar Khawarita , Intan Siagian Lyly Sri 
Published: December 2020

Abstract
Decision Support Systems can be used as problem solving in semi-structured and unstructured conditions. Multi-criteria decision making tools can be solved by the Analytical Hierarchy Process method. The problem that will be examined in this study is about the services of household appliances in the city of XYZ. The household appliance services that will be compared in this study are Ace Hardware, Yafurni, and IJC. There are 5 criteria, 22 sub criteria, and 3 alternatives. This problem was resolved through the application of the AHP method which calculations were carried out manually and using the Super Decisions Software, which was carried out through the distribution of questionnaires to 10 respondents. Processing data begins with making a hierarchy. Hierarchy is used to make the AHP questionnaire consistent with the meaning of one element with other elements equivalent. Then making AHP questionnaires, distributing AHP questionnaires, find priority vector, calculate the consistency ratio, to get the best alternative with manual calculations. Processing data using the Super Decisions Software are create interconnected hierarchies, make a pairwise comparison, and then find results of alternative priority calculations that have been calculated with Super Decisions Software.
Analysis Concept Design of Corn Raw Materials Suppliers in the Animal Feed Industry using Analytical Hierarchy Process (AHP) Method
Authors: Monica  , Sembiring A C 
Published: December 2020

Abstract
Procurement of raw materials is a major activity in the manufacturing industry. Therefore, the role of supplier is very important in the supply flow of an industry. Supply Chain Management in the industry must be managed efficiently. The animal feed industry located in Medan City has constraints in determining suppliers in the supply of timely and quality raw materials, it greatly affects industrial activities so the industry can’t provide the consumers’ needs properly. Therefore, this research was conducted to determine the suppliers that fit the company’s needs. The analysis used Analytical Hierarchy Process (AHP) method by taking data randomly from 20 suppliers in Animal Feed Industry. The AHP method analyzes based on the main criteria then obtained the first priority criterion is Delivery (0.4385), the second priority is Quality (0.2775), the third priority is Cost (0.0890), the fourth priority is Service (0,0854), the fifth priority is Flexibility (0.0582) and the last is Performance (0.0513). As for the selection of suppliers that have been adjusted to the priority level of the existing criteria is supplier B (0.5026), followed by supplier A (0.3129) and the last is supplier C (0.1845). So, it can be concluded that Supplier B is the best supplier.
Remarkable improvement in damping capacity of M2052 alloy by step-cooling treatment
Authors: Wei Li , Li Qiangfeng , Zhang Xinglin , Sun Yongqing , Zhao Hongjin , Liu Zhenbao , Liang Jianxiong , Yang Zhiyong 
Published: December 2020

Abstract
In order to efficiently produce high-damping Mn–Cu based alloys, different heat treatment processes were designed in this study, and the influence of the cooling process on the damping property of M2052 alloy was systematically investigated. The results show that the step-cooling process significantly influenced the damping performance of M2052 alloy. Compared with M2052 alloy processed using air-cooling with an internal friction (tan δ) of 0.087 at a strain amplitude λ = 5 × 10−4, the damping capacity was improved by more than 49% through the step-cooling treatment. This was mainly because of the increment of manganese content of in the Mn-rich regions, which is caused by the spinodal decomposition on the low temperature side of the miscibility gap. Meanwhile, the step-cooling treatment significantly suppressed the precipitation of α-Mn, which reduced the negative effect of α-Mn on the damping capacity and kept the Mn content in the Mn-rich regions at a high level. The step-cooling treatment, a novel and effective microstructure control process, provides a new method for the efficient preparation of high-damping M2052 alloy.