bluuebunny/crossref_metadata_2025_split huggingface dataset:
Development of machine learning implementation in engineering education: A literature review
Authors: Sasmita F , Mulyanti B 
Published: May 2020

Abstract
This study has aims to determine the development of implementing machine learning in several engineering majors. The used method was a literature study, and secondary data was used from reputable international journals and published in 2015 to 2019 from each publisher, which is IEEEXplore, Springer Link, Science Direct, ERIC, and Google Scholar. The author was summarized and analysed articles obtained based on the year of publication and the context of the article. Results show that machine learning has been widely applied in engineering education through fourteen contexts, one of which is Prediction Student Academic Performance, which has continuous development from 2013 to 2019. And the total number of engineering majors that are implementing machine learning was 13 majors. This research was expected to be an illustration, reference, and consideration for technicians in engineering education to give more attention and can be applied in schools, universities, and other engineering institutions in Indonesia country.
Line follower robot module design for increasing student comprehension in robotics
Authors: Budiyanta N E , Darmawan I A , Sarah A , Mulyadi M , Tanudjaja H , Widiarto S O B 
Published: May 2020

Abstract
The use of instructional media is a very important aspect to consider in teaching practice. This study aims to design an effective robotics learning media among adolescents as an effort to socialize robotics technology. This study used a research development model of learning media that can be used to make effective and fun robotic learning. The development of learning media is carried out based on several stages, namely Analysis, Design, Development Implementation and Evaluation (ADDIE). The results of this study indicate that the designs made in general are in the excellent category with an average value of 86.3%. The application of learning media can also be said to be effective with an increment value of 36.83% compared to the learning activities previously carried out. Therefore, robotic learning media in the form of a line follower robot module is one of the learning media that can be used to improve student understanding in robotic learning.
Identifications of increase, distribution pattern, and density level of sedimentation using Landsat 7 satellite images in the coastal area
Authors: Thobibie T , Astor Y , Julianto H 
Published: May 2020

Abstract
Sedimentation at coastal of Cirebon City is caused by considerable abrasion process in Indramayu regency and the impact of sand mining on Gosong Island, Indramayu Regency, besides that, the habit of residents in coastal of Cirebon City who heap up garbage at the coastal for years to utilize the area for residential purpose also contributed significantly the problem of sedimentation in the coastal area of Cirebon City. This research applying remote sensing technology of Landsat 7 2005, 2010, and 2015 using Lemigas Algorithm to gain information of special and temporal increase of sedimentation, distribution pattern, and density level of sedimentation. The result shows that the most significant increase of sedimentation happened at 2010 to 2015 with 46,072 Ha. There are 2 types of distribution pattern at Cirebon City, the first one is the sedimentation that ends in the estuary of river. The other type is the sedimentation caused by the presence of longshore currents which carry sediment and stuck on the coast along coastal of Cirebon City. Identification of natural and artificial sedimentation is carried out based on surveys in the field. The Lemigas Algorithm used only for classification of sedimentation based on density level of sedimentation content (mg/L). This research contributes to the Cirebon City government in resolving the problems of abrasion, accretion, and siltation in coastal areas, for the development of the Cirebon City coastal area to be an asset supported the economy in the future.
Utilization of post mining land towards sustainable development
Authors: Hendrakusumah E , Chamid C , Sukmayaningrum I 
Published: May 2020

Abstract
To avoid the post-mining environmental impacts, the government has made regulations related to the exploitation of mining land. But in reality, there are many disregards to this regulation, so that a lot of post-mining land is left alone, as if it cannot be utilized anymore. But not so with the people in Cibeureum Village in Sumedang Regency, they are very concerned and have been able to take advantage of the post-mining land in their area well even with simple technology. This paper aims to identify the post-mining land reclamation practices above, especially the main driving factor of the local community in their willingness and ability to reclaim the post-mining land so that they can successfully utilize the post-mining land. The method used in this activity is literature study, participatory observation, in-depth interviews, and focus group discussions. The results show that the main thing behind them is the collective awareness of the community as the main social capital in utilizing land. Thus, it can be understood that if all life and livelihoods in society are based on shared virtue values as social capital, it can minimize disregard for natural resources.
Geospatial modeling analysis of potential inundation impact of sea level rise: A case study of south coast Yogyakarta
Authors: Khafid M A , Wicaksono A P , Saputra D R , Andita F W , Wibowo D S 
Published: May 2020

Abstract
Increasing human activity leads to increased concentrations of greenhouse gases in the atmosphere, especially carbon dioxide (CO2) and methane (CH4) that impact climate change and global warming. This condition encourages the occurrence of weather anomaly phenomena in the atmosphere such as rainfall fluctuations, dryness, an increase in air temperature and sea-level rise. Sea-level rise was a potency of seawater inundation that gave an impact on land degradation. The study aimed to determine sea-level rise used three variables of disaster with two cumulative scenarios. The toward step used the simulation using a raster calculator in ArcGIS 10.2 to analyze the impact of sea-level rise to inundation disaster. The results showed that the sea-level rise on the South Coast of Yogyakarta based on (1) Scenario 1A (existing) was 1.4457 m (the prediction year 2030) and 2.0827 m (the prediction year 2050). According to the scenario (2) 1B (extreme) is 1.6297 m (the prediction year 2030) and 2.2667 m (the prediction year 2050). The increase in the sea-level rise on the south coast of Yogyakarta provides a disaster effect of inundation in the area directly dealing the beach and near the river mouth for example in Bantul Regency and Kulon Progo Regency.
Evaluation of environment carrying capacity as a coastal tourism using GIS in Sepanjang Beach, Indonesia
Authors: Wicaksono A P , Khafid M A , Fakhruddin F Z 
Published: May 2020

Abstract
The rapid pace of population growth in coastal areas and increasing the need for natural tourism can have a negative impact on the quality and quantity of natural resources and the environment in Sepanjang Beach, Gunungkidul regency. The phenomenon of seawater tidal waves led to a number of buildings along the beach experiencing heavy damage. The purpose of this research is to know the environment carrying capacity seen from the aspect of land capability and land suitability aspects as a tourist area, as well as providing recommendations that are right on Sepanjang Beach. The methods used are spatial analysis methods using geographic information systems (GIS) and scoring methods to determine the environment carrying capacity and land suitability. The results of the calculation of the environment carrying capacity based on the aspect of land capability were obtained by 2 classes of land capability namely moderate and good. Whereas seen from the results of the suitability of the beach recreation category shows if Tourism Suitability Index (TSI) has a value of 94% which means it is appropriate. However, it is necessary to arrange the gazebo building to use upland land in the form of alluvial karst plain.
Reducing customers’ lead time using Make to Stock and Make to Order approach
Authors: Prasetyaningsih E , Ardianto C D , Muhammad C R 
Published: May 2020

Abstract
This paper discusses about a company that adopts make-to-order strategy because the company does not have enough fund to provide raw material. The raw material is ordered when the order is received. It occurs a very long customer lead time due to the production process must wait for the arrival of material. Consequently, the company cannot meet the customer order at the due date, and the company should give a discount of 25 - 30% of the total purchases. This research aims at reducing customer lead time by determining a decoupling point. The result shows that the decoupling point is placed between the procurement of raw materials and the manufacturing process. The decoupling point denotes a boundary between the make-to-stock strategy in the previous process, and the make-to-order strategy for the process afterwards. The lead time customer is then considered start from the decoupling point to the due date.
Risk mitigation in raw material distribution activities using house of risk method in manufacturing
Authors: Liansari G P , Rajiman M S , Imran A , Ramadhan F 
Published: May 2020

Abstract
Supply Chain is a sequence of production processes, include raw material supply activities (inbound logistics), production processes, and distribution activities (outbound logistics). Every supply chain activity has risk. A risk mitigation strategy is important because the company will be able to identify the right strategy to handle those risks. Companies must be able to predict all risks that occur in supply chain activities, both of inbound logistics and outbound logistics. A manufacturing company in Indonesia that produces military and heavy equipment doesn’t have a risk mitigation strategy in raw material distribution activity, so this research proposes risk mitigation strategies using House of Risk method with Supply Chain Operation Reference (SCOR) models. Identification of supply chain activities involving of company’s plan, source, make, deliver, and return. House of Risk has two phases, first used to identify risk event, risk agent, and determine severity and occurrence value and calculating the Aggregate Risk Potential (ARP), second used for risk mitigation. Research results found there are 35 risk events, 51 risk agents, and three mitigation strategies that can be implemented in the company. Mitigation strategies, include: calculating the recording of revenue records for errors in the estimation of production capacity risk, procurement is not according to plan risk, and many damaged materials risk; improving the number of operators for errors in estimated production capacity risk; and Collaborative Planning, Forecasting, and Replenishment (CPFR) for error in MRP simulations risk.
Performance assessment analysis of UHF machines using Reliability, Availability, Maintainability and Safety (RAMS) analysis methods
Authors: Nurrahman F , Atmaji F T D 
Published: May 2020

Abstract
XYZ Company is manufacturing engaged in the rubber industry located in the city of Bandung, because economic growth and demand from consumers are increasing, making companies demanded to meet the target orders promptly. One way to minimize losses and the possibilities that must be borne by the company is to increase Reliability, Availability, Maintainability of the production and the safety value. Data in the form of Mean Downtime, Mean Time to Failure, Mean Time to Repair is useful for system performance that works. MTTF data can be used to assess safety systems found in PT XYZ with the safety standards of IEC 61508 using Safety Integrity Level. From the results of processing RAMS data using Reliability Block Diagram modeling based on the analytical approach, for 120 hours, the system has a Reliability value (91.12%). The average value of system Maintainability at t = 2 hours is 100%. The Inherent Availability value is 99,981% and the Operational Availability value is 99,980%. Based on the world-class maintenance Key Performace Indicator, leading and lagging availability indicators have reached the indicator target standard. Safety Integrity Level values from calculations based on PFD and RRF values of each system are in SIL 1.
Dynamic modeling of an inventory system to minimize of inventory cost
Authors: Satori M , Renosori P , Fauzan H 
Published: May 2020

Abstract
Recently business competition is getting tougher, especially concerning the fulfillment of consumer needs. Unstable market demand is often a challenge for companies in fulfillment of market demand. The study was conducted at PT TSJ, and the problem is when the supply is higher than the demand, the company will have to bear the holding cost. Meanwhile, when inventory is lower than the demand, the company must bear the cost of a product backlog. This research uses a dynamic system method with three scenarios: real situation scenario, raising the safety stock and reducing lead time. Results of the simulation are based on a real situation that shows the lead time from distributors to retailers and distributor safety stock has a major effect on the costs borne by the distributor and the longer the safety stock; results of the increase of the safety stock scenario shows that the backlog costs are reduced but the product as inventory at the distributor increases and thus the saving costs increases, and the result of reducing the lead time shows that holding cost at distributor reduced. The conclusion of this research shows that the best scenario to minimize the total cost is to reduce lead time.
Industrial development zone with assignment method
Authors: Nurwandi L , Renosori P 
Published: May 2020

Abstract
This study concern with finding new areas for potential industry that can be developed and characterizes the region. Five potential industries observe to be developed, namely fisheries, petrochemicals, food and beverages, handicrafts, and fashion, will be located in a zone, which has the potential to be the provincial capital of an island in Indonesia. The five potential industries will be assessed by five factors consisting of technology, transportation, social, policy, and economy. The phenomenon of determining which areas will be made, the area of industrial development by taking into account five sub-factors including the multi-criteria decision making (MCDM) where the decision to choose the developed industry depends on the assessment of stakeholder preferences, which consists of the government, the public, industrial actors, and investors with consider influential factors. In research the MCDM model used is the Analytic Hirarchy Process which will produce weights, then the weights are used as input to determine which industries are feasible to be developed using the assignment method. Research results show that food and beverage industry must be developed with focus on technology and economy pillars to enhance and support the community to keep the development and sustainability of region potential industry.
Parallel computation for production and distribution planning
Authors: Suahati A F , Wang K J , Nurrahman A A 
Published: May 2020

Abstract
Due to the TFT LCD (Thin-Film-Transistor Liquid-Crystal-Display) manifestation into many related products, this industry has been growing rapidly along with increasing demand. To satisfy the demand, most companies have increased their production capacity and capability by increasing their number of factories in different places and causing complexity in this industry. This research develops a production and distribution planning model for the multi-stage and multi-site supply chain in the TFT LCD industry. Genetic algorithm proposed in this research to solve the problem. Maximizing capacity utilization and total profit in the supply chain are become the major performance indicator in this model. Regarding the high computational effort of genetic algorithm, then parallel computation performed. Genetic algorithm conducted in multi-processor computation using OpenMP for time efficiency. To compare the computational time, the genetic algorithm conducted in five different number of processors; 1, 2, 4, 8, and 16, to know how many processors are needed to get the optimal computational time. The result is the genetic algorithm using 4 processors has the optimal expected net profit compare to the others. The result shows that a larger number of processors doesn’t mean the computation time will become automatically faster.
Knowledge of solid waste management through composting: A comparative study of rural communities in Malaysia and Indonesia
Authors: Anwar A , Amaranti R , Satori M , Salleh N A 
Published: May 2020

Abstract
Along with increasing human activity, the waste generated from these activities more and more. Waste at this time has become one of the causes of disasters in the world. One type of waste produced is organic waste. Organic waste is one of the solid wastes produced from domestic waste. Research is conducted to understand how people carry out organic waste processing into compost, to improve the quality of life, especially in economic terms. In addition, it can be identified factors and obstacles that affect the community when processing organic waste into compost. Primary data collection is done through interviews and field observations in selected rural communities. While secondary data collection is done by literature study. This research was conducted by taking samples in rural communities in Indonesia and Malaysia. The results obtained show a comparison of the patterns of success of rural communities in Indonesia and Malaysia in processing waste into compost.
Designing talent pool information systems at managerial level at PT. Pindad Enjiniring Indonesia
Authors: Renosori P , Wijaya B , Rukmana O 
Published: May 2020

Abstract
The background of this study is to determine human factors as key factors that are very important in increasing company competitiveness. The way the company manages this factor is by applying the concept of talent management. PT. Pindad Enjiniring Indonesia (PT PEI) is one of the companies that is implementing the concept, but obstacles are found at managerial level in the company, where the performance appraisal and potential are very slow. Meanwhile, the results of the assessment are needed to determine the right management for the employee’s career. Therefore, companies need what is called a Talent Pool. The term Talent Pool in Talent Management is a tool used as a talent centre to classify, recommend, and develop employee talent used by several companies or experts. In this tool, the classification process uses the HAV 5X5 Matrix which will be developed into an information system design using the FAST method. The Talent Pool design is expected to be a tool to present performance and potential assessments, speed up the assessment process to present the results of the assessment, classify results to determine employee competencies, and be able to be the best recommendation tool in determining an employee’s career path.
Alternative organic fuel determination with Analytical Hierarchy Process (AHP)
Authors: Nu’man A H , Nurwandi L , Bahtiar I , Omar S 
Published: May 2020

Abstract
Fuel is a main staple consumption of the industry, especially in Indonesia which is an industrial zone. Availability of fosil fuel is become decline day by day, according to that fenomena finding new fuel come from non fossil resources become important. This research is studied about finding potential fuel resources come from organic resources, such as cassava, cocoa, corn, pineapple, & potato. Factors that observed in this research namely availability of resources, social responsiveness, capability production, economy, technology, education, and policy. Data come from stakeholders that involved in produce, manage, and using the resources observed in the form of subjective preference. To anticipate the complexity of taking a decision in this research, analytical hierarchy process model used to formulate and proceed multi variable impact come from the factors that affected the determination new fuel resources to develop. The final result showed that an organic fuel resources determine by the biggest weight is policy factor. It means that people live around organic fuel resources must be supported first, by the government policy to operate the activity of transforming pineapple peel to be gasoline in the small scale industry.
The design of manual packaging work station based on workers’ dimension in beverage industry
Authors: Rejeki Y S , Achiraeniwati E , As’ad N R , Hadiid N 
Published: May 2020

Abstract
Manual packaging with awkward work postures has a high level of work risk with recommendations for improvement that should be done as soon as possible. Work risks that can be caused by awkward work posture are Musculoskeletal disorder (MSDs). Therefore, this study aims to improve the manual packaging work station by designing work tables and chairs based on an ergonomic approach so that it can improve work posture and reduce or even eliminate work risks. The research method used is a quantitative method with a descriptive approach. The results of this study are the design of tables and chairs with sizes obtained from the results of anthropometric measurements of workers. The results of this study imply that workers can do their jobs with good work postures so that work risks can be minimized.
Design of an on-off control system and a new display via internet based on Arduino Uno with application to window A/C
Authors: Erham E , Samudra R 
Published: May 2020

Abstract
Air Conditioner (A/C) is a system of air conditioning which serves need of thermal comfort inside a room. On one side, it is an advantage. However, on the other side, the energy consumption of A/C is the biggest in household appliances. In this paper, to solve the problem was designed the control system and display of A/C based on Arduino Uno. To do this, the Arduino was uploaded with a program of control system so that it can function as a controller. Whereas, the display as a monitor was designed using the Blynk that is supported a Smart-phone and Internet network. The results showed that the response of designed control system is able to maintain the desired temperature with range of error from 0.0°C to 0.2°C and the A/C can be set and monitored from far away via internet. In addition, although, a client and the A/C were separated by distance, the response was almost not delay and stayed accurate. Moreover, it was predicted that the using of proposed A/C in illustrated situation can save energy by 50%. It can be considered as a promising solution for the energy consumption issues.