bluuebunny/crossref_metadata_2025_split huggingface dataset:
Probing the entropic uncertainty bound and quantum correlations in a quantum dot system
Authors: Haseli Soroush , Haddadi Saeed , Pourkarimi Mohammad Reza 
Published: April 2021

Abstract
The uncertainty principle is one of the most comprehensive and fundamental concepts in quantum theory and it states that it is not possible to simultaneously measure two incompatible observables with high accuracy. In particular, we show that the entropic uncertainty relation that uses quantum memory is one of the most useful entropic uncertainty relations. In this work, we consider a quantum dot system as a solid-state system which is in the thermal regime, and we then probe the quantum correlations and the quantum-memory-assisted entropic uncertainty bound in this type of system. Interestingly, our results show that there are some system parameters that can be adjusted to suppress the entropic uncertainty bound and improve quantum correlations.
Determinant Factors and Adaptation Features of Mobile Personalized Learning System
Authors: Hamzah Almed 
Published: April 2021

Abstract
The mobile learning field is grown and enhanced to a more sophisticated platform for the last decades. It quickly becomes pervasive among educational stakeholders. Nowadays, both students and teachers are familiar with mobile devices to complete their tasks and assignments. A personalized system is one of the features contributing to the mobile learning system’s ease and effectiveness. This paper aims to identify the determinant factors and adaptation features from the previous works in this field. There are 30 papers to be included in the analysis using a coding strategy. The result elicits some determinant factors, including prior knowledge in using mobile devices, the ability to access the technology, and the existence of guidance from an expert. Also, several common adaptation features include user preferences, learning behavior, performance, and mobile-specific adaptation features such as device characteristics and content metadata. Study limitations and future directions are also discussed.
Network Quality Comparison 4g LTE X And Y in Campus UMSU
Authors: Harahap Partaonan , Pasaribu Faisal Irsan , Siregar Chandra A 
Published: April 2021

Abstract
Long Term Evolution (LTE) the fourth generation (4G) cellular network technology. This LTE speed in data transfer speed reaching 100 Mbps on the side downlink and 50 Mbps on the uplink side. Growth in the number of service users telecommunication in Medan City causes a decrease in network quality, especially 4G LTE technology. By doing a driving test, the area can be found where a system’s signal strength aims to increase the signal quality. Benchmark (comparison) of operator service quality 4G LTE is done by measuring, comparing, and analyzing network quality (performance) of two 4G LTE operators around Muhammadiyah University of North Sumatra. Total operator throughput value X is only 0 > 3 Mbps while the Y operator is 0 > 30 Mbps. The low throughput value is caused by high user traffic during the day. The incidence of low throughput on the Muhammadiyah University of North Sumatra campus coincides with active learning with many students using data services.
Prediction formula development of power transformer no-load noise
Authors: Pramono W B , Wijaya F D , Hadi S P 
Published: April 2021

Abstract
Power transformer noise is one of the contributors to noise pollution in the environment. The dominant component of power transformer noise is no-load noise, which is a noise that appears when a power transformer is connected to a voltage source and is not connected to other electrical loads. The amount of no-load noise must be predicted at the design stage so that the noise does not exceed consumers’ standards or criteria. In this study, the prediction of no-load noise was conducted involving rated power, magnetic flux density, and geometry factor. Based on the measurement results from industrial testing and the multiple linear regression method, no-load noise prediction formula results with better accuracy are obtained.
The development of universal design principles for appropriate technology in small and medium enterprises (SMEs)
Authors: Rahman Taufik , Widyanti Ari , Yassierli  
Published: April 2021

Abstract
The Indonesian government has considered appropriate technology (AT) as a cost-effective strategy to increase productivity, including for farmers in processing agricultural commodities. However, its acceptance and effectiveness still need to be improved so that AT can be used for the general population. The existing AT designs seem to fail in considering the characteristics and capabilities of their users. This paper proposed expanding universal design principles for AT in small and medium enterprises (SMEs). After conducted random observation and interviews with SMEs in Subang Area, this study refers to relevant literature studies from various previous studies. This study’s results are new universal design principles: flexibility in use, practicability, ease of service, perceptible information, tolerance for error, low physical effort, low energy, adjustability, mobility, and modular and straightforward and intuitive use. A conceptual model proposed in this study describes the relationship among user characteristics, the concept of universal design, and the effectiveness of using appropriate technology.
Analysis of significant parameters the development of rechargeable electric energy storage (REES) national recycle standards
Authors: Dewantoro Auraga , Anggundari Widia Citra , Susmiarni Rika Dwi , Louhenapessy Bendjamin B. , Yopi  , Darmayanti Nur Tjahyo Eka 
Published: April 2021

AbstractThe growth in using battery-based electric vehicles (EV) in the world increased significantly last ten years. This trend was to achieve the global target of reducing the negative impact of conventional vehicles. Simultaneously, in reverse, the waste of Rechargeable Electric Energy Storage (REES) of EV escalated. Sources for REES material were limited, but the demand predicted to mount up in the next decade, so recycling is an option to overcome this problem. However, there are still no standards related to REES recycling of electric vehicles in Indonesia, so preliminary data is required in determining parameters associated with REES recycling standards. The parameters were collected by questionnaire from research-based units or producers in government and private institutions in Indonesia as the baseline of this discussion. The respondents stated that REES recycling has three significant parameters: raw material, process, and product. There were seven parameters in raw material, six parameters of the process, and the product comprises four parameters. Further research and discussion against stakeholders are needed to achieve exemplary implementation of REES recycling standards.
Progression in Designing and Fabrication of Minimum Quantity Lubrication (MQL) System with an Arduino based Controller
Authors: Darsin Mahros , Firdaus M M , Hardiataman I , Qoryah R D H , Sidartawan R , Syuhri A , Hermawan Y , Basuki H A , Djumhariyanto D , Yudistiro D 
Published: April 2021

Abstract
Using cutting fluids in machining with petroleum-based creates health hazards issues to the machining operator and environmental problems due to the waste. One effort to reduce it is by applying minimum quantity lubrication (MQL). This research aims to develop an MQL system with an Arduino controlled based on the previous design. The main hardware was changed, i.e., pump, power supply, nozzle, sensor, and temperature setting changed from 70°C to 150°C. The fluid consumption was measured in machining with a depth of cut of 2.3 mm and 2.5 mm and cutting liquid composition of 3:7 and 7:3 (water to dromus cutting fluid). The calculation showed that cutting fluid consumption is mostly more than 1000 ml/h, or it has not achieved a maximum of 500 ml/h. However, compared to the previous design, it has reduced up to half of the former scenario. From the tool deterioration perspective, the depth of cut of more than 2.0 mm results in severe tool deterioration in the form of chipping. The higher the depth of cut, the intense the tool deteriorated. For the next design, we should add an air compressor in the MQL system and solenoid(s) to regulate the spraying.
Parameterization of Oil Palm Shell Concrete on Numerical Damage Model Based on Laboratory Experiment using Digital Image Correlation
Authors: Hongsen Kiuntoro , Melhan Madelestin , Handika Nuraziz , Sentosa Bastian Okto Bangkit 
Published: April 2021

Abstract
As a country that contributes to 85% of the world’s crude palm oil, Indonesia produces enormous amounts of waste-by-products (ex: oil palm shells, fiber, etc.) with its potential to be processed into other useful products, including construction material substituent. Previous studies have shown that the use of oil palm shell as a concrete aggregate substituent can produce lightweight concrete that achieved the structural concrete strength requirements. Nevertheless, a further robust computational model on OPS concrete towards regular concrete using concrete damage model is to be characterized using finite element code CAST3M. OPS concrete’s parameterization is conducted based on concrete cube compression tests using digital image correlation (DIC). The average modulus of elasticity obtained is similar to lightweight concrete. The compression strength obtained is 20.33 ± 1.19 MPa, and the split-tensile strength is 1.23 ± 0.19 MPa.
Study of biodiesel specifications for heavy-duty gas turbine application
Authors: Amri K , Kismanto A , Solikhah M D , Pratiwi F T , Arisanti A G 
Published: April 2021

Abstract
Implementing a 20% biodiesel blend in diesel fuel (B20) has been launched since January 1th, 2016, and it was increased to 30% (B30) on January 1th, 2020, implemented in all sectors, including power generators. Gas turbines utilized as power generators designed to use natural gas or diesel fuel as fuel. Therefore, a study to use biodiesel blend as fuel in gas turbines was required. A comparative study was conducted to analyze the fuel requirements of General Electric’s (GE) Heavy Duty (HD) Gas Turbine specification compared to either of SNI 7182: 2015 and EN 14214 specifications. An assessment was conducted on samples of two biodiesel quality levels called biodiesel and distilled biodiesel to meet the GE HD Gas Turbine’s requirements. This study indicates that the biodiesel quality standards, both SNI 7182: 2015 and EN 14214, are insufficient to meet the gas turbine fuel specifications of the GE HD gas turbine. It is required a more specific quality standard dedicated to gas turbines. On the other hand, among the two samples, distilled biodiesel fulfills the fuel requirements of GE HD gas turbines and might be utilized as fuel for this type of gas turbine. According to the result of this study, a test run of 100% biodiesel (B100) as gas turbine fuel can be proposed to be implemented immediately.
Analysis of Asphalt Concrete Wearing Course made with Asphalt Polyurethane Modifier
Authors: Anas Muchamad Nurul , Siswanto Henri , Rahardjo Boedi , Taufikkurrahman  
Published: April 2021

Abstract
Modified asphalt is one of several solutions to road damage problems. The purpose of this study was to analyze the effect of adding polyurethane to the asphalt concrete wearing course (ACWC). The analysis method used is the Marshall Parameter analysis. Marshall specimens were prepared with modified polyurethane asphalt. The polyurethane content used is 1% to 4% by weight of asphalt with a range of 1%. The results showed that modified asphalt–polyurethane can improve ACWC performance in terms of stability, flow, VIM, VMA, VFA, and MQ. The best performing polyurethane content in this study was 2%, and usage of polyurethane levels above 3% is not recommended due to having MQ which does not meet the specification requirements.
Development of a Low Cost Portable Hydro and Wind Power as Emergency Power Source
Authors: Supardi Agus , Raya Mukhlisin Yoga , Anwar rian Shaiful 
Published: April 2021

Abstract
Many outdoor activities are often carried out by the community. An emergency power is required to recharge the batteries of lighting equipment, communication equipment and other electronic equipment. Power bank as emergency power has a limited capacity so that it is not enough to meet the needs of power for several days. A portable power generation is needed to generate electricity using available natural resources such as running water or wind. The objective of this research is to develop a portable power generation system to meet the needs of electrical energy during outdoor activities. The portable power generation system consists of a small turbine, a small generator, and a battery charger. The prototype was tested in the laboratory and in the field. Tests showed the DC generator generated a voltage of 0.7 - 11.1 V when rotated at a speed of 117 - 1434 rpm. The step up converter produces a voltage of 2.2 - 15.74 V when the input voltage is 1.5 - 12 V. The boost module produces a voltage of 3.19 - 4.38 V when the input voltage is 3 - 12 V. The portable power generation system will generate electricity if the minimum speed of the running water is 4.8 m/s. When tested using wind power with speeds between 4.0 - 10.3 m/s, the portable power generation system produces a voltage of 1.4 - 9.3 V.
Use of zinc powder on Resistance Spot Welding on Mild Steel and aluminium
Authors: Hendrawan Muh Alfatih , Purboputro Pramuko Ilmu , Prima Aan 
Published: April 2021

Abstract
This study aims to determine mechanical properties of dissimilar metal resistance spot welding using zinc powder as an intermediate between 4000 series aluminium 1.2 mm thick with mild steel AISI 1008 thick 0.9 mm. The experiment was conducted on current parameters 7000 A, 8000 A, 9000 A, zinc powder mesh 200, and holding time 5 s. Tensile test showed that an optimal value on joining strength is at a current variation of 9000 A time 0.5 s of 1586.46 N. Additionally, Hardness testing in the weld metal area yields an optimal value at similar parameters as 232 HVN for aluminium and 210 HVN for Mild Steel. Based on Macro photo test results show that the current affects the width of the weld metal (nugget), the greater the current the wider the weld metal. Meanwhile, based on micro photos, there is a change of grain size on aluminium and mild steel welding.
Modular Mixer Machine Design for Liquid Fertilizer
Authors: Rochman Yuli Agusti , Wati Dwi Ana Ratna 
Published: April 2021

Abstract

Purpose: The design of the stirrer in making liquid organic fertilizer. Methodology: The TRIZ model is used in the design process. Results: The appropriate engineering characteristics to overcome the contradiction problem between the ability to rotate the mixer and the weight of the motor are the ‘force’ characteristic (parameter 10) and the ‘weight of stationary object’ characteristic (parameter 2). The solution is to move the weight of the motor on the object that will provide a ride. Applications/Originality/Value: Modular product development by applying the TRIZ concept has not been widely used. This paper will help position the TRIZ method in the design of modular products.
Modelling of Pedestrian Severity Factors in Traffic Accident in Depok
Authors: Widyaningrum Asri , Siregar Martha Leni 
Published: April 2021

Abstract

Purpose: Every country has a transportation system problem that can be solved in various different ways. But often, handling the transportation system is not accompanied by an increase in road facilities for vulnerable road users. One of them and the most often ignored is the provision of adequate facilities for pedestrians. Especially for big cities that are developing in Indonesia, such as satellite cities around Jakarta. Depok as satellite cities in Jakarta also have the same problem. As a result, the rapid population growth followed by vehicle growth and not being accompanied by good regional planning can harm the community, especially pedestrians. This study aims to modeling pedestrian severity factors in traffic accident in Depok. Methodology: The pedestrian severity observed was death, heavy injury and minor injury. Analysis carried out using multinomial logistic regression method so that later the opportunity model will be generated for the severity of traffic accidents based on prediction variables that have been tested. Results: The result, a statistically significant factor affecting the severity of pedestrian accident victims is the age of pedestrians and type of vehicle. Applications/Originality/Value: This study aims to determine the factors that cause pedestrian accidents in the city of Depok based on their severity. By knowing the factors that cause pedestrian accidents, it is hoped that the Depok city government can take further action to reduce the number of traffic accidents, especially those involving pedestrians as vulnerable road users.
Optimum amount of concrete objects of concrete asphalt layer using limestone aggregate
Authors: Candra A.I. , Winarto S. , Cahyono A.D. , Mahardana Z.B. 
Published: April 2021

Abstract
Concrete asphalt layer specimens are a mixture of coarse aggregate, fine aggregate, filler, and asphalt, which are crushed based on the number of collision plans. This study aims to determine the optimum number of collisions of concrete asphalt layer specimens using 100% coarse limestone aggregate against the Marshall Test. Marshall Tests produce Stability, Flow, and MQ values that are used to determine the age of the concrete asphalt layer plan. The stages of testing in this research were mixing the rough aggregate of limestone escaped sieve no. 3/4 - 8 mm or granular diameter between 0.5 cm - 2 cm, fine aggregate, filler, and asphalt. After mixing evenly and asphalt has covered all the aggregates, the mixture was inserted asphalt mold made of brass with a diameter of 100 mm height 65 mm. The next process is a compaction of the test specimen with five variations of collisions (50, 75, 100, 125, 150). After the test object is compacted, then a Marshall test is performed to find out the value of Stability, Flow, and MQ. The results of this study indicate that the optimum number of collisions is 100 times. This can be seen from the value of Stability: 1412 kg, Flow: 4.02 mm, and MQ: 351.2 kg/mm.
FMEA Approach to Risk Factors as a Factor in Implementing Green Supply Chain Management (Study in PT. Gresik Cipta Sejahtera)
Authors: Indrasari Lolyka Dewi , Vitasmoro Pamadya , Pariyanto Afiff Yudha Tri 
Published: April 2021

AbstractA process that gives a negative impact on the environment is the existence of a production process which has the residual product in the form of non-biodegradable waste. Environmental impact studies do not only focus on waste but also its management, one ofthem is supply chain management in industry. It is important factors including the design of the product itself, selection of suppliers for the purchase of material products, manufacturing processes, how to deliver products to consumers and processing product remains to reduce environmental impact. PT. Gresik Cipta Sejahtera has a commodity of fertilizer products that are well known among the community of farmers and general users. So, this research’s aim is making the factors that cause danger in the company will be changed into factors that can help the creation of Green Supply Chain Management related to warehouse and transportation. The results show that the problems in the company which make problems for the company, can be analyzed Supply Chain Management to realize Green Supply Chain Management, which will bring a better influence for the company. The total problem is 16 already have a solution to be applied to the company in order to realize Green Supply Chain Management in the warehouse area and transportation equipment.
Mechanical and damping properties of composite rubber with waste crumb rubber tire and silica sand
Authors: Putra Emeraldo Gabriel , Priyosulistyo Henricus , Darmayadi Danna 
Published: April 2021

Abstract
The use of waste crumb rubber tire to reduce earthquakes impact on buildings is one of promising environmentally friendly solutions. Waste rubber tire will increase with the increasing number of vehicles. The purpose of this research is to study the mechanical and damping properties of waste rubber tire containing silica sand. Eleven different composites were produced with variation of the amount of waste rubber tire from 0, 25 and 50-per hundred rubber towards rubber compound based on their weight. The local silica sand consists of 10-phr, 20-phr, 30-phr, and 40-phr will be added on rubber compound containing 25 and 50-phr waste rubber tire respectively. Tensile strength, modulus of elasticity, shear modulus, and damping properties will be tested and researched. Composites of waste rubber tire with silica sand have lower tensile strength and modulus of elasticity with the addition of silica content. The shear modulus increased by loading silica sand and reached a maximum at filling of 40-phr. The damping properties also increased with the addition of silica sand and waste rubber tire, with the highest damping properties reached 10.40% on 40-phr silica sand and 25-phr waste rubber tire from the natural rubber damping properties of 3.10%. This study provides an overview of the effect of waste rubber tire and the interaction of silica sand on rubber properties experimentally.
Electromyography Gesture Identification Using CNN-RNN Neural Network for Controlling Quadcopters
Authors: Antonius Ray , Tjahyadi Hendra 
Published: April 2021

Abstract

Purpose: This paper presents a CNN-RNN neural network approach towards electromyography. Here the neural network is employed to identify different gestures from the reading of signals from human’s hand muscles. The identified gestures are then utilized to control a drone. Methodology: Implementation is made by using Myo, an 8-channel Electromyography (EMG) data acquisition device. 14000 datasets of 9 different gestures are collected and used to train the CNN-RNN models. The trained models are then tested on a drone using dronekit to translate the gestures to drone commands and send them from Python to the drone. Results: The results show that a CNN-RNN approach is very effective in identifying gestures from raw muscle data, resulting in an average of 96.60% positive identification for each gesture. The identified gesture shows an effective drone control from the simulated drone. Applications/Originality/Value: The high rate of positive identification opens the possibility to use a wearable device that is able to give the current state of the hand’s muscle tensions, translating them into a specific command to control devices or machines. With a rich information and real-time human control, it is expected that humans will experience a more intuitive approach towards devices or machines control.