bluuebunny/crossref_metadata_2025_split huggingface dataset:
Status and challenges of water governance in facing the water crisis disaster in blora regency, indonesia
Authors: Maryati S , Febriani Y T 
Published: March 2021

Abstract
The water crisis is a problem faced by many cities in the world. The water crisis is a disaster. The condition of the water crisis is further aggravated by climate change. One important factor to overcome the water crisis is water governance. The purpose of this study is to assess the status of water governance to overcome the water crisis. This study used Blora Regency as a case study. Blora Regency is one of the districts in Indonesia which experiences a water crisis every year. The water crisis always occurs in the dry season. In addition to seasonal problems, another problem that causes the water crisis is the uneven distribution of water sources, topographic conditions, access to infrastructure, and seasonal variation. This study uses a governance capacity indicator approach. Criteria to assess government capacity consist of planning, implementation, and monitoring and evaluation. The data was collected from interview with stakeholders and secondary sources. Most of the sub indicators have not been fulfilled. Policies, strategies, programs, and activities have not been derived from the causes of the water crisis, are less innovative, less based on the river basin approach, and have not involved the participation of many parties, and have not been supported by adequate funding. Finally Indicator monitoring and evaluation is not yet an outcome based indicator.
Personalized Gait Treatment Using Passive Controllable Ankle Foot Orthosis
Authors: Abdul Rahman Mohd Azizi , Adiputra Dimas 
Published: March 2021

Abstract
Ankle Foot Orthosis (AFO) is usually prescribed for gait treatment. Low cost, easy to fabricate, safe, long term usage, and personalized AFO is demanded to facilitate and accelerate the prescription process, which is iterative, individualized, and collaborative. Passive Controllable AFO (PICAFO) was developed to fulfil the demand, consisting of several research works, such as the gait detection method, smart actuator design, and controller development. Two gait detection methods had been considered. Firstly, the system utilized the Electromyography (EMG) biosignal to detect the stance and swing phase. Secondly, hybrid Magnetorheological Elastomer (MRE) is used to detect four gait phases based on foot contact. The smart actuator, a small scale Magnetorheological (MR) brake, had been constructed, which generated 2.1 Nm maximum damping stiffness to partially support the ankle stiffness. The controller is essential because controlling the damping stiffness accordingly to the current gait ensures positive assistance. The latest version of the PICAFO controller utilized ankle velocity reference to control the MR brake stiffness, which can be estimated based on the user’s walking speed and body mass index. The presented research works show that achieving personalized gait treatment using the PICAFO system is possible.
Sustainable Energy Storage Management for a Power Plant-Transmission Station System with Hybrid Power Generation and Stochastic Electricity Demand
Authors: Jauhari W A , Pujawan I N , Suef M 
Published: March 2021

Abstract
This paper proposes an energy storage management for electrical energy supply chain system (EESCS) involving a power plant and a transmission station under carbon emission investigation. The transmission station faces stochastic electricity demand from household and uses a continuous review policy to control electrical energy storage. The power plant has two power generations, namely green power generation and regular power generation. The green power generation is cleaner than the regular one, thus it generates less emissions. Although the green power generation is more environmentally, however, its electricity production cost is more expensive than the regular one. A carbon tax is implemented in the investigated system to lessen the amount of emissions coming from electricity production. An efficient algorithm is developed to solve the problem and a numerical example is presented to show the applicability of the model and to explore the behaviour of the model.
A Cut-off Grade Optimization Model in Multi Product Open Pit Mining Considering Reclamation and Valuable Waste Materials
Authors: Novitasari R , Rosyidi C N , Aisyati A 
Published: March 2021

Abstract
The common problem found in the mining company is how to determine the cut-off grade for the classification of ore and waste. The cut-off grade will greatly affect the revenues and costs of the mining companies. In this study, we develop cut-off grade optimization model by considering multi product and environmental factor such as reclamation and revaluing of waste materials. Multi product was chosen because most of the mining industry not only produce one type of mineral products. The main goal of this study is to develop a cut-off grade model to maximize the net present value (NPV). To illustrate the application of the model, the numerical example is given for mining case using the available data of Golgohar Iron Mine in Iran which produced three types of iron products, such as concentrated, sizing, and pellet.
Optimization Model for Determining Order Quantity for Growing Item Considering Incremental Discount and Imperfect Quality
Authors: Luluah L , Rosyidi C N , Aisyati A 
Published: March 2021

Abstract
This research develops an optimization model of order quantities for growing items by considering incremental discounts and imperfect quality. For growing items, the assumption that inventory weights that always fixed cannot be applied. The supply system has grown so that the weight of the inventory has increased over a certain period. The proposed inventory system has two periods namely growth and consumption period. Suppliers offer incremental discounts for certain purchases. In this research also considered the existence of imperfect quality, where for newborn items purchased at the beginning of each cycle found items with poor quality and death. During the growth period, not all items survive until the end of the period, therefore also considering the probability density function of survival and death of growing items. The proposed inventory system is maximization profit, with total profits being an objective function, and cycle times and order quantities as decision variables. Costs involved include purchased cost by considering by incremental discounts, setup costs, holding costs, and disposal costs. Application and model validation is demonstrated by numerical examples in the poultry industry. The model developed in this study can be used as a suggestion for companies to make purchasing decisions.
Mini Review on Eddy Current Brakes Parameter
Authors: Putra M R A , Nizam M , Tjahjana D D D P , Prabowo A R 
Published: March 2021

Abstract
The need for braking systems has increased. The widely used braking system is a friction brake. The use of friction brakes has a problem in maintenance intervals and the risk of failure due to heat generation. Research and the development of the braking system have carried out. Eddy Current Brake (ECB) is an alternative braking system. ECB is braking that uses eddy currents as a source of braking force. Many parameters need to consider in implementing the ECB. There have been many studies on the working parameters of the ECB. However, the previous research has researched the effects of parameters by make experiments or mathematical models. This article provides an analysis of the recent research about the ECB performance parameters. From the review of the previous study, it conducted that better performance of ECB is affected by the density of the use of magnetic flux.
A Numerical Ventilation Problem on Fridsma Hull Form Using an Overset Grid System
Authors: Samuel  , Kim D J , Fathuddiin A , Zakki A F 
Published: March 2021

Abstract
Numerical ventilation problem (NPV) is a problem that often occurs during the numerical simulations process. This problem mostly occurs when the vessel has a high Froude Number, causing inaccurate ship resistance predictions. Numerical ventilation can be considered as one of the major sources of error in numerical simulations that require further analysis. The present paper aims to validate a numerical resistance prediction using Fridsma’s hull form. An overset grid system is implemented in this study to solve using the Volume of Fluid method. The method for improving the accuracy of ship resistance prediction are refinement method, visualization method, and phase replacement method. In this paper, the RANS equation is used to describe the turbulence model using k-ε. On most occasions, the Volume of Fluid model uses multiphase Euler flow, assuming air and water as a phase. This research concludes that mesh refinement method is able to solve numerical ventilation problem with such a good result.
Experimental Performance of A Rotary Desiccant Wheel Without Honeycomb Matrix Structure: A Preliminary Study
Authors: Hanifah U , Karim M A , Haryanto A , Alfiyah R , Taufan A 
Published: March 2021

Abstract
Experimental investigation of a rotary desiccant wheel is presented in this study. The rotary desiccant wheel without honeycomb matrix structure is tested where silica gel is used as the desiccant material. The dehumidification experiment shows the humidity ratio decreased from 0.0205 kg/kg to 0.0182 kg/kg. Due to it has the potential to be a drying machine, an initial drying experiment was also carried out to see the performance of this machine. The drying process shows the machine can reduce the moisture content of the noodle product from 33.86% to 9.95% in 17 hours. Results show that thermal, regeneration, and dehumidification effectiveness is up to 24%, 14% and 11%, respectively.
Recent Progress of Fused Deposition Modeling (FDM) 3D Printing: Constructions, Parameters and Processings
Authors: Prayitno G , Imaduddin F , Ubaidillah  , Arifin Z 
Published: March 2021

Abstract
Fused Deposition Modeling (FDM) is the most widely used 3D printing technique. The use and development of FDM cover various fields such as automotive, airplane, to biomedical. Many studies have been conducted to study the effect of various printing parameters and post-processing treatment on the performance of printing results with FDM. This literature study aims to compile and summarize the latest studies related to the effect of FDM process parameters and post-processing treatment as well as prospects and challenges. The review found that the combination of several synchronized parameter processes can produce parts that are printed better because several parameters are interrelated and can complement to each other. In addition, the quality of FDM printing results is generally found to be better with post-processing treatment although it requires more effort that might not always be feasible for some applications.
Magnetorheological Fluid Yield Stress Prediction Using Particle Swarm Optimization at Low and High Shear Rate Region
Authors: Bahiudin I , Imaduddin F , Mazlan S A , Saphiai M I , Ismail A A 
Published: March 2021

Abstract
Yield stress is an important parameter to measure the performance of a magnetorheological (MR) fluid. The parameter can be obtained by fitting a flow curve consisting of a shear rate-shear stress dataset to a Bingham plastic equation. However, the dataset selection is usually determined by trial and error by selecting the data either at a low or high shear rate region due to there is no standardized selection method. Therefore, this paper attempts to develop a platform to predict the yield stress automatically using particle swarm optimization (PSO). The PSO objective function is inspired by the Biplastic Bingham model. The results have shown that the prediction has shown a good agreement when fitting to the experimental data. Furthermore, the obtained yield stress values at high and low shear rate regions also were discussed from the point of view of the difference and possible effect if the wrong variables are chosen. The evaluations have shown that the gap between the yield stress at low and high regions can be relatively high, which is about more than 10 kPa. The wrong selection of the yield stress at an MR device possibly bring inaccuracy performance prediction/design, especially at high magnetic field value.
Design and Simulation of Single-Input Multi-Output (SIMO) Flyback Converter Using PI Controller for Emergency Power Supply
Authors: Saputri F C , Efendi M Z , Murdianto F D 
Published: March 2021

Abstract
The electricity problems in some regions are different, it can be caused by various things e.g power outages and lack of electricity availability. Whereas the need for electrical energy is increasing as human needs increase. The importance of electricity supply for electronic equipment during disaster or emergency condition forces the electricity needs to be fulfilled and supplied continuously. An emergency power supply is commonly used to solve these problems. However, most of the emergency power supply is only intended for single-input single-output needs. This paper refers to a single-input multi-output flyback converter as an emergency power supply that can provide a multi-output system that has two different output voltage levels, which is specified for charging notebook and cell phone using a PI controller as a voltage regulator. Based on the simulation result, the system can obtain the desired output voltage (19 V and 9.5 V) and also can reach the steady-state response in 0.017 s.
Electromyography (EMG) and Hand Gripping Force During Standing and Sitting
Authors: Mahadi M , Nazmi N , Bani N A , Rahman S A S A , Noor N M , Zainuddin S Z A J 
Published: March 2021

Abstract
Musculoskeletal disorders reduced the motion and strength of upper limb muscle, especially when doing a task repeatedly. Evaluation of upper limb muscle strength has been commonly conducted using hand grip strength measurement. Previous studies had explored Electromyography (EMG) and hand grip strength but when studies related body postures, only hand grip strength method was considered. However, previous studies involved the effect of body postures on upper limb muscle strength only focused on hand grip strength method, not EMG. The aim of this study is to investigate the effect of EMG time domain during standing and sitting while gripping in order to identify the postures that are riskier for musculoskeletal injuries. Three feature extraction namely root mean square (RMS), mean absolute variance (MAV), and variance (VAR) were used to represent the EMG. Based on the result, the responses of 0.118 μV, 0.0613 μV, and 0.0139 μV were recorded at sitting position while 0.1455 μV, 0.0843 μV, and 0.0148 μV were recorded at standing position, for respective feature extractions. It shows that the response value of EMG changed for different body postures. To conclude, the body posture is crucial when conducting the upper limb studies for both hand grip strength measurement and EMG.
Design and Analysis Performance Solar Power Plant 15 kW By Maximizing Final Yield and Performance Ratio In Small-Medium Office
Authors: Apribowo C H B , Nizam M , Pramono S , Maghfiroh H , Hakim K 
Published: March 2021

Abstract
The 15 kW solar power plant (PLTS) is a new certain in the application of small-medium solar energy usage, especially for the campus environment in Indonesia which can support and become proof of realization green campus program. The existence of 15 kW PLTS become an attention to do advanced analysis in order that production of the specific electric energy or final yield (YF) and performance ratio (PR) from a PLTS can be monitored based on installation location. The value of YF and PR can be used as reference to do identification, trouble operation analysis, and developing of a PLTS. The optimum value of YF and PR on the 15 kW PLTS resulted by doing simulation from a simulator software, which the value resulted from location and configuration of the system installation without watch shading factor. And then the simulation value compared with electric energy real production result on this 15 kW PLTS. The 15 kW PLTS divided be two lines, that are 5 kW and 10 kW line. From simulation result, showed that in the 5 kW line have value of optimum production is 5264.8 kWh with PR 83,1% and in the 10 kW line have value of optimum production is 7687.2 kWh with PR 83.12%. Real production in line 5 kW is 1326.9 kWh with difference 74.79% with simulation and in line 10 kW is 1643.3 kWh with difference 78.62% with simulation. The shading and existing disturbances resulted in a decrease in electrical energy production and performance in the line 5 kW is YF 0.91 hours/day with CF 2.79% and in the line 10 kW is YF 3.07 hours/day with CF 11.73%.
Using Data Mining Techniques to Predict Students’ Performance. a Review
Authors: Lynn N D , Emanuel A W R 
Published: March 2021

Abstract
Predicting students’ performance is an essential activity towards the success of the world’s education sector. However, the action continues to present itself as a challenging task due to the existing large data amounts in educational databases. On the other hand, some Institutions lack systems that are capable of analyzing and monitoring students’ performance. This problem could be partially due to a lack of awareness about the importance of predicting students’ performance. In addition to that, the existing studies on performance prediction methods are still inadequate in identifying and convincing educators with the most suitable method for predicting students’ performance. This review explores the commonly used data mining techniques to predict students’ performance in previous studies to find out the most suitable technology that can be trusted with predicting students’ performance. The result of the study showed that the decision trees algorithm is the best classification technique that gives trusted and accurate results when it comes to student performance prediction. Predicting students’ performance helps in monitoring the students’ progress, both pass and fail, and therefore provides a gap for early interventions and decision making by educators. This opportunity dramatically helps in promoting the education sector by raising the academic standards of educational Institutions.
An Optimum Design and Economic Analysis of Renewable PV-Standalone Power Plant for Electric Vehicle Charging Station in Indonesia
Authors: Apribowo C H B , Nizam M , Anwar M , Arifin Z , Tjahjana D D D P , Iftadi I , Inayati  , Ramelan A , Falich M N 
Published: March 2021

Abstract
Electric vehicles have recently been increasing in popularity and market demand which can be used as a key indicator for the future due to climate change and global warming so that CO2 emission reductions are needed. In addition to environmental factors which are the main motivation for the increase in electric vehicles, this type of transportation reduces dependence on fossil fuels and contributes a lot to energy independence. The increasing popularity of electric vehicles requires a country to build a charging station for the community in the future, including Indonesia. For that reason, this study was made to obtain the most optimal PV-standalone design as a charging station with the economic analysis. Semarang city is the location of choice because of the potential for strategic resources and is one of the cities with the highest number of vehicles. The result is that 23.2kW PV, 9kW converter, and 40kWh battery are the most optimal for charging stations in the city of Semarang with 10 electric cars every day, with a total daily load of 88kWh/day.
Application of Lean Project Management Method in Environmental Drainage Development Case Study: x Area Bekasi City
Authors: Maulana S , Ariyanti F D 
Published: March 2021

Abstract
Drainage systems are infrastructures for runoff water management and flooding in the settlements area. Many factors cause the drainage system not to function properly. This study was conducted on the implementation of an urban drainage system project in the X Area of Bekasi City using the Lean Project Management Method to analyse waste from resources, analyse risks and manage variations on costs, time, and human resources. The results of the analysis of risk responses that are important to note are the lack of supervision of the implementation of OHS in the field, lack of coordination and outreach to the residents, working hours of irregular (ineffective) use of the equipment, and unskilled labour. Based on the estimated cost of the construction project of the urban drainage system in the X Area of Bekasi City, there has been a change of actual cost (addendum contract) of 8.9% greater than the planning cost (initial contract). Based on the calculation, total savings with the CCPM method in the construction of the urban drainage system in the X area of Bekasi City are Rp. 2,894,136,099.
Scrap Metal Reduction as the Effect of Combustor Upgrade in GTG 1.3 PLTGU Muara Karang
Authors: Leilan F , Revina T , Dimassetya I , Rahmanissa A 
Published: March 2021

Abstract
Metal as one of the most common used materials in industry, needs a proper management for it will not contaminate the land. Metal waste, or also called scrap metals, is disposed in a scrap yard. To prevent the accumulation of scrap metals in the scrap yard area, reducing the generation of it is important. Especially when the auction procedure for scrap metals takes a long time. PLTGU Muara Karang had upgraded GTG 1.3 to Advanced Extendor Combustion System in October 2016 to improve its operational excellence. The impacts of upgrading gas turbine to Advanced Extendor Combustion System, are not only for better efficiency in performance, but also extending the maintenance interval up to 32000 hours. By extending the maintenance interval, combustion inspection, which is usually performed every 8000 hours, can be dismissed. The total maintenance duration needed also reduced from 120 days to 66 days on 8 years period. This leads to reducing metal waste generated during maintenance. By calculating the spare parts that required to be replaced in one combustion inspection, the metal waste reduction potential is 2.26 ton. For 8 years period, the combustor upgrade help to reduce metal waste generation about 75.02%.
Emission dispersion modelling of Gresik power plant using Gaussian analysis to evaluate environmental impacts in receptor point
Authors: Damara D Y , Dermawan M D 
Published: March 2021

Abstract
Air pollution is one of the impacts that must be concerned by Gresik Power Plant. The presence or absence of pollution can be seen in the ambient air quality around the plant location which is routinely monitored every six months. However, the monitoring data is not representative because there is no daily data conducted. Therefore, emission dispersion modeling can be carried out to obtain ambient air conditions around the plant site. In this research, the modeling is carried out using Gaussian Analysis for the HRSG chimney 3.1 and it can be seen that the area around the power plant and Pulopancikan village are significantly affected. This is indicated by the presence of a red zone in the results of the modeling and the concentration of NO2 pollutants can reach 892.65 µg/m3 exceeding the government standard (150 µg/m3). However, the validation of the model shows significant gap due to some circumstances such as meteorology condition, vehicles pollution, and human activities. In consequence, such a modeling can be developed further. For instance, the study needs to forecast emission dispersion of all active chimneys on the site in order to capture environmental condition and more concern to meteorology condition and other pollution sources.