bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of land use change in Xi’an based on GIS and RS
Authors: Bei Xue , Shujing Gao , Xiuqin Zhang 
Published: December 2020

Abstract
Along with fast economic growth, population increase and accelerated urbanization, the land use pattern of Xi’an is experiencing tectonic changes. Studying the land use change volume and spatial distribution in different regions in Xi’an will provide a basis for future studies on the urban spatial arrangement, land use management optimization and sustainable land use development. Based on GIS and RS technologies, this study explored the land use changes in Xi’an, analyzed the type, quantity, spatial arrangement and density of land use change, and introduced quantitative parameters including the dynamic level of land use, the transfer matrix, etc., for analysis. The results revealed that: 1) the major land use types in Xi’an were farmland, forest and built-up land; 2) in these 15 years, the area of grassland and built-up land increased, while the area of farmland decreased; 3) the dynamic level of comprehensive land use change increased, indicating intensive land use changes in Xi’an.
Optimization of the delivery route for community group-purchasing fresh products considering customer satisfaction
Authors: Wang Yong , Qiu Wei 
Published: December 2020

Abstract
For this paper, the VRP model on the total cost minimization of fixed cost, transportation cost and penalty cost is developed under the constraint of the delivery time satisfaction function for the characteristics of community group purchasing. On the genetic algorithm optimization, an elite retention mechanism is added, a partial crossover rule is used to design the crossover operator, and the examples are tested. The results show that solving the total cost function can effectively reduce the cost, and the improved genetic algorithm has good computational speed and convergence. At the same time, good satisfaction was obtained, indicating that the company cannot neglect the customer satisfaction experience while pursuing the minimum total cost, which provides a decision reference for achieving the balance between the two.
Research on Vehicle Trajectory Tracking Control in Expressway Maintenance Work Area Based on Coordinate Calibration
Authors: Yong Huang , Daqing Fang , Fuliang Tan , Minglu Tao , Daoguang Si , Yang Shu 
Published: December 2020

Abstract
In the highway maintenance work area, how to reduce traffic congestion and traffic accidents caused by vehicle changing lanes has become a continuing research issue. This research focuses on the lane-changing behavior of vehicles in the highway maintenance work area. By changing the lane-changing trajectory of vehicles under different lane numbers, it can intuitively understand the influence of different lane numbers on lane-changing characteristics. Studies have shown that when the number of highway lanes increases, the distance between the starting point of the vehicle lane change and the highway maintenance work area will increase. At the same time, the probability of changing lanes in front lanes that are barrier-free and does not need to change lanes decreases as the number of overlapping lanes increases. Under the condition of the same number of lanes, the closer the distance between the vehicle and the obstacle lane, the more convergent the lane-changing trajectory of the vehicle, and the probability of lane-changing greatly increases.
Study on the Speed Limit at Night in Expressway Maintenance Area
Authors: Huang Yong , Fang Daqing , Tan Fuliang , Tao Minglu , Si Daoguang , Shu Yang 
Published: December 2020

Abstract
In order to improve the safety of expressway maintenance work area at night, taking the maintenance work area of two-way four lane Expressway in Anhui Province as an example, the traffic characteristics of the maintenance work area at night are analysed, and the variation characteristics of vehicle speed in the maintenance work area are studied, and the main factors affecting traffic safety are obtained. Based on the traffic flow theory and Greenshields speed density-linear relationship model, this paper analyses the correlation between the speed and traffic capacity in the maintenance work area. Through the simulation by VISSIM software, the speed limit value of the expressway maintenance work area in the day and night is obtained, which provides an important reference value for the expressway maintenance operation.
The electrical energy usage of monitoring system at real-time using IoT as the primary policy of energy efficiency
Authors: Suhanto  , Setiyo Prabowo Achmad , Indrianto Sudjoko Rifdian , Suryono Wiwid 
Published: December 2020

Abstract
The policy of electrical energy conversion requires an energy audit to be right on target. Energy audits require measuring devices and energy usage data recorders in every part of the system. Measurement and recorder integration is using the technology of the Internet of Things (IoT) can facilitate the collection, monitoring, and data analysis. This research is designed and implemented for monitoring the use of electrical energy in real-time by utilizing IoT at a low cost. This system includes a microcontroller that is can communicate via WiFi network type ESP32 Devkit V1, instrument system of measuring electrical energy type PZEM-004T, the connector and wrecker device use Solid State Relay (SSR) and open-source IoT platform. The finding showed that the developed energy monitoring system can successfully record voltage, current, active power, and accumulative power consumption. The monitoring system can be acquiring the power used by the load relatively fast is around 2 to 4 seconds, and the monitoring system uses relatively little power around 5 W.
Development of control systems on vacuum evaporators with 50 l capacity to reduce honey water content accordance to sni 01-3545-2004
Authors: Nazaruddin N. , Hapsoh  , Darmawan A I 
Published: December 2020

Abstract
Riau still has many protected forests and nature reserves. One of the wealth of protected debt is the forest’s Honey. One of the weaknesses of forest honey is the high water content in honey. The permissible water content in honey is 22% based on SNI 01-3545-2004. This paper presents a vacuum evaporator of control system design as a tool for reducing the water content in Honey. The control system design is made such that the honey temperature in the evaporation process is no more than 40°C. There are three quantities that are controlled in this process, namely vacuum chamber pressure, temperature and screw rotation. Temperature control system and pressure control system use close loop system, while the control system for screw rotation uses open loop system. The three main components of this control system are the VE 115N vacuum pump, the stirring screw motor with 1 HP power, 2 heaters with 250 watts of power each, Temperature Control (Eliwell IC901 thermostat and thermistor sensor), 35x25 panel box. To meet the quality of honey, the control system is set with a maximum temperature of heating water 40°C and vacuum pressure at 7.4 kPa and screw rotation at 60 rpm
Hybrid electric vehicle power consumption analysis in tropical area
Authors: Heryana Ghany , Sumarsono DA , Adhitya Mohammad , Nazaruddin N , Siregar Rolan , Zaenuri Fuad , Prasetya Sonki 
Published: December 2020

Abstract
Internal Combustion Engine (ICE) is one of the biggest fossil fuel consumers. Many attempts have been made by researchers to replace ICE with electric motors and batteries as a source of energy. On the other hand, the dependence on ICE cannot be eliminated. One of the better ideas is to combine an ICE with an electric motor or called a hybrid. This study aims to determine the amount of energy consumption used by Hybrid Electric Vehicles (HEV) in urban areas in a tropical megapolitan city. The method used is to monitor the use of energy in hybrid cars directly. Sensors and data acquisition are installed on the vehicle to find out the route, speed, fuel consumption, electricity consumption, etc. Data acquisition is also placed on pure ICE vehicles with comparable engine capacity. Previous research, namely the analysis of energy consumption in the Plug-In Hybrid Electric Vehicle (PHEV), will also be used as a comparison. The results obtained indicate that HEV could travel 22 kilometers with one liter of gasoline. ICE car could cover 13 kilometers by 1 liter of petrol. And PHEV could travel 34 kilometers with 1 liter of gasoline. Thus it can be concluded that HEV has the advantage of saving gasoline usage, but PHEV is the best of them.
Minimization of transport costs in an industrial company through linear programming
Authors: Prifti V , Dervishi I , Dhoska K , Markja I , Pramono A 
Published: December 2020

Abstract
Businesses and industries are very interested in optimizing processes and minimizing costs. One of the transportation models or problems to optimize relates to the case where the product output can be transported from the manufacturing plant to some warehouses or customers. The transport problem is a case of the linear programming problem. Linear programming algorithms have been used to solve the most difficult optimization problems. Linear programming has been used to manage the problems related to personnel assignment, engineering, distribution, banking, education, oil, transportation, etc. It has been widely used in various fields, like transport, telecommunications, health services, construction, public services, industry, etc.
The main purpose of the paper is to look at the problem of linear programming in detail by considering an example and try to solve the problem. The purpose of the transport problem in our case is to minimize the overall cost of transport from origin to destination by meeting supply and demand limits, in order to increase sales profit. This paper aims to determine the problem of minimizing the total cost of transport by determining the optimal distribution of the product, from the 2 sites of production to the 9 major distributors that are geographically dispersed. Management Science and Operational Research will be used to find the best solution for the transportation problem.
Shipping cost optimization on the Indonesian sea tollway due to weather
Authors: Pradana M F , Hamdani M I , Noche B 
Published: December 2020

Abstract
Indonesian sea tollway main objective is to decrease price gap between the western and eastern part of Indonesia. Although, the price gap is still felt in eastern Indonesia, that means the objectives of this program has not yet reached its optimum mainly due to operational cost. This paper is trying to optimize shipping costs by reducing the speed with slow steaming due to weather. The method called Slow Steaming was added with the aim of optimizing the speed of the ship. In total, there are three scenarios created to achieve these research objectives. The first scenario used current operational data, while the second scenario use ship speed loss due to weather, and the last scenario used ship speed loss due to weather and slow steaming method. The results showed that reducing ship speed with scenarios two and three can optimize the total shipping cost. Decreasing the shipping speed due to weather and using 10% and 12% slow steaming method can reduce between 16,35% and 18,5% of total shipping costs depend on the route. It can be concluded that scenario III has the lowest shipping cost, but with a note that with different specific conditions of slow steaming for each route.
Measurement of user satisfaction for web-base academic information system using end-user computing satisfaction method
Authors: Purwanto  , Deden Hedin P.B. 
Published: December 2020

Abstract
Academic Information System is a system that collects and processes data into useful information for users. This research aims to determine the level of user satisfaction of Web-Based Academic Information Systems at Al-Kamal Institute of Science and Technology. The research model uses quantitative by using a descriptive approach. The measuring of user satisfaction uses an End-User Computing Satisfaction (EUCS) method. The variables in this research are accuracy, content, format, timeliness, and ease of use. Data collection uses a questionnaire by 12 questions with the sum of data samples are 135 respondents. The results show that the overall level of user satisfaction averaged 2.99 at level 3 (neutral). The variables considered good are timeliness and ease of use, while for content, format, and accuracy still need improvement and redevelopment. The results of this research can be used as an evaluation material to develop the academic information systems in the future.
The application of LPT, CEGA, and PSO method on flow shop scheduling with parallel machine
Authors: Muharni Y , Irman A , Febianti E , Rubyanti T E , Sofa N N 
Published: December 2020

Abstract
The production system in a fabrication company often face some problems, such as the inability to deliver orders to the customer at the due time. This situation could drive the company to bear the cost of penalties. This problem can be overcome if the production schedule arranged properly. One of the indicator optimal scheduling is minimize of makespan. This research investigates a company who dealing with fabrication structure and make to order production system with flow shop production lines and parallel machine arrangements. In order to solve the scheduling problem, several methods are applied consist of the heuristic approach of the Longest Processing Time (LPT) method and the metaheuristic approach using the Cross Entropy method combined with Genetic Algorithm to Cross-Entropy Genetic Algorithm (CEGA) and Particle Swarm Optimization (PSO). The algorithm was run in MATLAB software and the results show that proposed method using the Particle Swarm Optimization (PSO) and Cross Entropy Genetic Algorithm (CEGA) obtained makespan value of 8,394 minutes. The makespan for existing scheduling condition is 9,117 minutes. The proposed methods are shown a better results.
Measurement of psychological impact of industrial engineering students in fulfiil of online learning outcomes using NASA-TLX method
Authors: Umyati Ani , Susihono Wahyu , Sri Mariawati Ade 
Published: December 2020

Abstract
COVID-19 had a serious impact on the education sector in Indonesia, one of them is the application of online learning activities as a substitute for learning activities in the classroom. Viewed from the perspective of students, online learning is a new method and is not yet commonly used in universities including Sultan Ageng Tirtayasa University. So students still need time to adapt to the existing system. Each activity certainly causes consequences of workload, as well as its online learning activities conducted by students majoring in Industrial Engineering Untirta. This study will measure the psychological impact in the form of mental workload experienced by students majoring in Industrial Engineering Untirta in meeting online learning outcomes using the National Aeronautics and Space Administration Task Load Index (NASA-TLX) method. The online learning process carried out by Industrial Engineering students of Sultan Ageng Tirtayasa University has a psychological impact in the form of mental workload on these students. The results showed that 63.21% of students experienced mental workloads with moderate classification, 22.97% of students had workloads with heavy classifications while the rest experienced workloads with light classifications (13.51%). The most dominant indicators are Mental Demand, Temporal Demand, and Frustration Level.
Cost of quality system in passenger car plant: a methodology of implementation
Authors: Rahardjo W H , Farizal F , Gabriel D S 
Published: December 2020

Abstract
The purpose of this research is to provide methodological adjustments or procedures for installation steps and the implementation of a quality cost system, including adjusting the quality cost calculation model for the automotive manufacturing industry, especially passenger car factories. A literature review approach is used and pilot studies are chosen for empirical aspects of research to enrich the mix of qualitative and quantitative data. Although the literature review shows that many experts write similar research, adjusting the quality cost model is still recommended. The results of the pilot study explain that the implementation of quality costs at an early stage is considered sufficient until reporting. Further research is advised to practice tracking quality costs. Research starts from preparation to reporting on quality costs. The scope of research is limited to quality costs in the operational area (production). The methodology for implementing a quality cost system can guide organizations to get an internal view of quality costs. This research confirms that organizations do need to modify the available quality cost models according to the organization’s goals, needs, and environment. Thus, the simple models offered in this research are both valuable and contribute to quality economic literature.
Household solid waste composition and characterization in Indonesia Urban Kampong
Authors: Semilu Rosesar Juntara , Andari Kristanto Gabriel 
Published: December 2020

Abstract
Household waste compositions and characteristics are the basic Information needed in planning a waste management system. The data are affected by many factors, such as the area characteristic and their income. As a part of city growth, urban Kampong is generally established due to urbanization and can be characterized by its density, low income residents, and poor sanitation. This research is conducted to analyze the composition and characteristics of solid waste produced in Urban Kampong. Cross sectional study approach was conducted to analyzed the household characteristics; the Indonesia standard of 19-3694-1994 is applied to examined wastes generated with 100 kg of waste samples was collected for 8 days in each urban kampong. The research result shows urban kampong waste composition is dominated by organic waste with 61,62%. While inorganic wastes are dominated by plastic (13,14%), multi-layered (5,52%) and paper (4,12%). The average of waste generation in urban kampong is 0,5 kg/person/day. This study is expected to be the baseline for improving waste management system in urban kampong in Indonesia.
Development of Reverse Logistics Scenarios for Inorganic Waste Recovery in Grobogan Regency - Indonesia
Authors: Hadiwidodo M , Samadikun B P , Putri A I , Sumiyati S , Ramadan B S 
Published: December 2020

Abstract
Reverse logistics is a model of the flow of goods that goes inversely from consumers back to producers to increase the value of goods without wasting any part of the goods (recovery). In this study, the waste management system in Purwodadi District, Grobogan Regency, has been evaluated and propagated using a reverse logistic network system, which is considered more efficient. In-depth interviews and observations were made to understand the flow of waste in each level of recyclers. The flow of plastic, paper, and metal waste were evaluated in this study because it dominates the composition of inorganic waste in Grobogan Regency. The results of the scenario indicate the potential use of a reverse logistic system because it shortens the flow time of waste from consumers to factories. Besides, environmental losses caused by the long process of waste management can be reduced. It is necessary to carry out further evaluation related to economic and environmental benefits due to the development of a reverse logistic scenario for plastic, paper, and metal waste.
Hybrid vector autoregression–recurrent neural networks to forecast multivariate time series jet fuel transaction price
Authors: Bayu Aji Agung , Surjandari Isti 
Published: December 2020

Abstract
Fuel cost is the most contributed component in the operational cost of all transportation modes. In the aviation industry, jet fuel cost contributed to a percentage of 33.33% of the total airline operational costs. To increase efficiency in operational costs and the airline should have jet fuel price monitoring systems that can forecast the future price and give some strategy recommendations to airlines. In this research, we propose many multivariate time series-based predictive analytics as a tool for the airline to monitor and forecast the jet fuel price transaction based on jet fuel transaction price. We consider the global crude oil price and also global and local jet fuel prices in each airport. We also consider additional variables for the economical aspect that applied differently for each airport location. We examine two Recurrent Neural Network (RNN) algorithm, Long Short Term Memory (LSTM) and Gate Recurrent Units (GRU). For minimizing the weakness of LSTM and GRU, we combine each methods with Vector Autoregression (VAR). After forecasting results using VAR-LSTM and VAR-GRU, we get forecasting accuracy of 98.98% and 99.40% respectively.
Ergo-innovative design of cow slaughter tool
Authors: Hartomo Soewardi , Eufrade Maulana Putra 
Published: December 2020

AbstractRough handling in the slaughtering operation can cause animal’s stress resulting in the poor quality of meat because of the depleting muscle reserves to the lowest level. This condition will reduce the muscle lactic acid and increase the potential hydrogen on the meat above the normal level allowing a higher possibility for bacterial growth. Moreover, the rough slaughtering operation using the conventional technique may lead to slaughterer’s accident because of the cow’s mutiny. Thus, it is crucial to use the slaughtering tool that is safer and more comfortable to operate. This study aims to design the innovative slaughtering tool ergonomically and satisfying the user requirement. A survey was conducted to identify user criteria of the design. Theory of Inventive Problem Solving (TRIZ) was implemented as a fundamental basis to determine the inventive principle of the design, and the Quality Function Deployment was applied to develop the design specification. Non-parametric statistical analysis was done to test the hypothesis. This study reveals some identified inventive principles including dynamic quality, parameter changes, combination, and equipotentiality. Thus, the proposed design is valid to satisfy user need at 5% of significance level as it is proven to be safer, stronger, more practical, and more durable.
Partial modeling of macroeconomic variables in industrial fields
Authors: Valentika N , Abdullah S , Ilmadi  , Chasanah S I U , Nuha A R , Huda M , Nursyirwan V I 
Published: December 2020

Abstract
This study modifies Catalbas’s (2016) and Pratikto’s (2012) research. The analysis used in this study is cross-correlation and analysis of the Vector Autoregression (VAR) method, Vector Autoregression in difference form (VARD) or Vector Error Correction Model (VECM) to test the relationship between variables with the ordinary least square (OLS) method and the causality test to test the relationship (causal relationship) between variables with the Granger Causality (GC) Test. Based on the correlation analysis, it is obtained that exports, imports, and interest rates have a negative and statistically significant relationship at the real level of 5% of the rupiah exchange rate. The model between exports and the rupiah exchange rate is the VAR (2) model. The model between imports and the rupiah exchange rate is a VECM with lag 3, there is 1 cointegration and the deterministic trend used is none intercept no trend. The model between the interest rate and the rupiah exchange rate is a VARD vector model with a lag 1. The model between inflation and the rupiah exchange rate is a VECM with lag 2 and the deterministic trend used is none intercept no trend and there is 1 significant cointegration at the 5% level.