bluuebunny/crossref_metadata_2025_split huggingface dataset:
Detection of Salak Chips readiness on vacuum frying machines based on vacuum pipe temperature and frying time
Authors: Mustafa L D , Susilo S H , Perdana R H Y 
Published: January 2020

Abstract
Fruits are one of the horticultural commodities that have high economic value and have the opportunity to be exported. Fruit products in Indonesia are generally consumed in the condition of fresh fruit and very little processed into processed food. Because fruits are seasonal and perishable after being harvested, the selling price of the product has decreased significantly during the harvest season. One alternative to increase save time and fruit utilization is by processing fruits into chips. Fruit chips are a healthy snack because contains high fiber. Processing of fruit chips can be done using ordinary frying with dyeing on cooking oil at atmospheric pressure (deep frying) or with a frying pan at low pressure (vacuum frying). The purpose of this study is to examine the relationship between the temperature of the frying pan and the temperature of the flow of the pipe on the vacuum frying machine from the first time frying process until the chips are cooked. This research is limited to the following matters: the type of vacuum frying machine used is a water jet pump model 2 HP, a vacuum pressure 65 cmHg, the frying setting temperature is 90°C, and the main ingredient of salak chips with a capacity of 5 kg. The results of the salak chip frying experiment results are as follows: Whatever the temperature of the frying pan before dipping the oil chips, the water vapor suction channel will remain at 27°C, and after the chips have been oiled, the temperature changes slowly to the highest value (same as the frying temperature) and the longer it goes down until it reaches room temperature again (27°C) this is due to the water content depleted from the fruit chips that have run out and the fruit chips have been fried in about 90 minutes.
Glycerol from waste frying oil as sustainable fuel
Authors: Rubianto L , Santosa S , Sudarminto H P , Udjiana S S 
Published: January 2020

Abstract
In search of renewable and environmentally friendly fuel, transesterification of waste frying oil was an excellent method to produce biodiesel. Transesterification was not only producing biodiesel but also creating glycerol as by product. Unfortunately, transesterification of waste frying oil causes the colour of glycerol usually dark brown due to impurities, caramelization, and Millard reaction. In order to improve quality of glycerol, absorption using activated charcoal was applied. Glycerol was intended to replace diesel fuel for boiler burner. Due to high viscosity, glycerol was mixed with methanol. Mixture of glycerol and methanol in various compositions was applied on boiler burner. By analyzing the flame and flue gas, composition of 10% glycerol and 90% methanol was the best mixture.
Drivers of logistics service innovation in Third Party Logistics business
Authors: Sumantri Y 
Published: January 2020

Abstract
The desire to focus on the company’s core business processes has impacted companies to outsource their logistics activities to Third Party Logistics (TPL). These conditions create the demand for logistics services so that the TPL business grows significantly. Service innovation from TPL holds a critical role in the development of logistics business clusters because TPL is a new growth source from the regional and national economy. What factors drive TPL business to innovate has not been much studied in the logistics research literature. Few studies have addressed drivers of logistics service innovation. Deficiency of empirical research on the drivers of logistics service innovation in TPL business, so that this paper study empirical studies on the factors that influence innovation in TPL business. This study aims to identify the factors that drive innovative logistics services from TPL business so that they can provide the basis for developing innovation in TPL. Content analysis of extant literature was conducted. This study found that a lot of knowledge about innovation drivers in TPL was identified in theoretical based, but many of these components were not implemented yet. This study shows that TPL will achieve successful operational performance if innovation is executed with suitable knowledge management so the TPL can achieve effective communication networks.
Performance analysis of Proxmox VE firewall for network security in cloud computing server implementation
Authors: Ariyanto Y , Harijanto B , Firdaus V A H , Arief S N 
Published: January 2020

Abstract
Virtualization server uses the hypervisor technology in its implementation. Hypervisor is one of the virtualization techniques. Where this technique runs several operating systems together in one host. Cloud computing is a combination of the use of internet-based computer technology. The Open source Proxmox VE (Virtual Environment) is a virtual machine operating system. Where virtual machines are built from the Debian Linux operating system, with the modified RHEL kernel. A firewall is a system designed to prevent attacks on the network. Firewalls can be software or hardware that filters network traffic. Proxmox VE Firewall provides a way to protect network infrastructure. In Proxmox VE firewall allows setting rules for all hosts in a cluster or for virtual machines. In this study, the performance of the firewall from the server virtualization using ProxmoxVE will be examined. This study is intended to determine the performance of the firewall default from Proxmox VE. Firewall testing is done by creating filtering rules in the Proxmox VE cloud server. The results of this study will provide an analysis of the performance of the Proxmox VE firewall that runs on cloud servers. The analysis presents that iptables firewall rules can be applied to cloud servers.
SIBI (Sistem Isyarat Bahasa Indonesia) translation using Convolutional Neural Network (CNN)
Authors: Syulistyo A R , Hormansyah D S , Saputra P Y 
Published: January 2020

Abstract
Deaf people are one of those with disabilities who cannot speak and hear. Deaf people using sign language for communication who use sign language with hand gestures, body and convey facial expressions using sign language. One important component in sign language is the alphabetical finger or the manual alphabet needed to complete communication. The alphabet of the finger is done by spelling words on spoken language, by spelling letter by letter using a finger. This method is used to spell the name or mention the word. However, not everyone understands sign language, so tools needed to bridge communication between people who are deaf with normal people. One solution that will be offered is to use computer technology as a tool to recognize sign language. The technology is an automatic language translator system that process input images using by using the Convolutional Neural Network (CNN). On this research consist of 3 class such us A, assalamualaikum and hallo which get the accuracy respectively 100% for each class.
The effect of information quality, system quality, service quality on intention to use and user satisfaction, and their effect on net benefits primary care application at primary health facilities in Malang
Authors: Ariyanto R , Rohadi E , Lestari V A 
Published: January 2020

Abstract
The Indonesian government has serious attention to facilitate the health of its people, one of which is by establishing Badan Penyelenggara Jaminan Sosial (BPJS) hereinafter BPJS. The Government of Indonesia collaborates with several parties including primary health facilities, General and Regional Hospitals, as well as general practitioners and specialists who have been appointed by BPJS. The aim of this study is the user’s perception of Primary Care applications at primary health facilities BPJS in Malang. This study uses the DeLone & McLean (D&M) Update IS Success Model to assess the success of an information system where its use is mandatory at primary health facilities. The model contains 6 dimensions that can measure the success of a system, i.e. Information Quality, System Quality, Service Quality, Use, User Satisfaction and Net Benefits. This research is a quantitative study using a questionnaire with a Likert scale. Purposive sampling is a method used in sampling. The respondents consist of doctors or admins who operate primary care applications at primary health facilities. The results of this study indicate that primary care applications can be categorized as successful information systems for each dimension of success in the D&M Update IS Success Model.
The method of NAIMA 3E plus simulation for selection of material insulation in removable thermal insulation cover
Authors: Purwanto R E , Fuadi F 
Published: January 2020

Abstract
Heat loss occurs due to the temperature difference between the fluid flowing in the pipe and the temperature outside the pipe, it can also occur due to inappropriate material selection and insulation thickness. Insulation is a method for reducing the rate of heat transfer from inside a pipe to the outside of the pipe. Valve is an object that is often encountered in un-insulated conditions so that there is a lot of heat loss in this section. Therefore, an insulation method and the right insulation material are needed to prevent heat loss. The study was conducted to see the effect of two glass wool and rock wool insulation materials on heat loss. The study used a simulation method using NAIMA 3E Plus software. The output of the simulation is the value of heat loss on glass wool and rock wool material. Data analysis using two-way ANOVA method assisted by Minitab software. The results show that the higher the temperature, the greater the heat loss value and the thicker the insulation layer, the smaller the heat loss value. Insulation material is better to use rock wool.
Conducted emission mitigation in LED driver by chaotic modulation
Authors: Hariyawan M Y , Posma S N 
Published: January 2020

Abstract
Light-emitting diode (LED) lamps are becoming popular in a wide range of applications, due to low power, high efficiency, and low maintenance. To achieve high efficiency in energy, transfer in the LED driver, a switched-mode power supply (SMPS) topology is applied. SMPS operates at a constant frequency; it generates significant emission in some of the frequencies through conducted and radiated mechanisms. Several solutions are proposed to mitigate the EMI (electromagnetic interference), such as converter design, component selection, EMI filtering, and spread spectrum techniques. Spread-spectrum is a cheap and efficient solution in the conducted emission mitigation. This research performs conducted emission mitigation by modifying the switching on the LED driver using chaotic signals. The Lorenz equation was selected to produce chaotic signals. The effect of EMI caused by the chaotic signal has been analyzed toward the performance of the system, compared with performance when periodic signals modulated it. Lorenz’s injection signals have reduced distribution over broader bandwidth compared to other injection signals. The average EMI reduction produced by Lorenz signal was the highest compared with other modulated signals of 10.63 dB.
Autonomous pilot drones for detecting objects in a space
Authors: Sarosa M , Zakaria M N , Wirayoga S , Muna N 
Published: January 2020

Abstract
The rapid development of technology in the field of air transportation technology has made Drone a widely developed flying vehicle. Drones have many uses for example for hobbyists, navigation tools, and transportation equipment. Drones have also been developed to monitor environments that are difficult for humans to reach. The ability to control manually with limited distance becomes an obstacle. This study describes the Mission Definition System (MDS) which is designed to help in defining the Drone mission easily and efficiently and to support the application of autonomous flight. Under the direct supervision of the pilot line, the selection of Drone control will be possible if in an unsafe situation. After the user defines the mission, it is then forwarded to the Mission Calculation Machine, which is tasked with carrying out the exact calculations to get a compatible and predictable flight plan. A Flight Plan is a list of orders that must be completed by a Drone to completing the designed mission. Test results and measurement of the degree of accuracy of the autonomous system have been tested 5 times for each object and have failed the command once because of natural factors when tested. In terms of the image mapping, drones succeed in detecting objects with only one failure on Saturday by mapping several locations that are targets. For sensors that are used only have one failure to detect obstacles.
Adaptive learning system in open educational resource digital sharing community as a media for learning autonomous students
Authors: Elmunsyah H , Hidayat W N , Patmanthara S , Dwiyanto F A , Utomo W M , Kusumadyahdewi K 
Published: January 2020

Abstract
In the disruptive era, online learning models began to be widely developed. Malang State University as one of the state universities in Indonesia is developing and implementing a new curriculum with the theme of Life-Based Learning (LBL) as a form of adaptation in facing the Industrial 4.0 era. Through LBL, college graduates are expected to not only master competencies, but be able to develop their abilities to be able to face the needs and developments of the industrial revolution era 4.0. This study aims to develop an LMS-based transdisciplinary learning portal supported by internet and mobile technology. The product developed is reinforced with additional features in the form of Adaptive Learning System (ALS) in the digital sharing community (DSC) learning portal which is expected to be able to improve student capabilities. The development procedure model used in this study is to use the 4D model suggested by Thiagarajan and its requirements such as design analysis, validation and determination of research subjects. The steps in this model are the four stages of development, namely define, design, develop, and disseminate. Based on the overall analysis of the results of data collection it can be concluded that the results of the product feasibility trial, obtain very decent results. The details of the feasibility results were obtained from media experts 97.91%, material experts 96.33 %, small groups with 30 user users obtained 90.85% and large groups with 134 users obtained 94.25%. Based on these results it can be concluded that the ALS products on DSC for learning can be categorized as very appropriate to be used for the learning process, because the results obtained are above 85%.
Development of virtual learning community through my buddy school system
Authors: Hidayat W N , Ulfatin N , Mukhadis A , Wakhidah R 
Published: January 2020

Abstract
As a country with high biodiversity and social community, Indonesian students face differences in learning quality. Students’ competencies in rural and urban areas also become a separate problem. With the nature and social conditions of each, students in rural and urban areas have different abilities, hence need peer learning to share knowledge between rural and urban school. Indonesia needs various innovations to solve learning and education problems. One of the solutions to bridge this problem is by developing information systems that can be used by students in villages and cities. Through peer learning, it is expected to improve students’ knowledge and skills because the learning design is more natural. In this paper, My Buddy School system is designed and developed to support self-regulated learning and peer learning course. The development method used the ADDIE model (Analyze, Design, Development, Implementation and Evaluation). We applied explicit evaluation using some questionnaires and interview to 22 junior high school students that have already used the developed system. The result shows that user experience score and student’s respond from the interview session indicate that the system is good; therefore, an improvement is needed. For the future works, we proposed a user-centered design method to gain a greater score of user experience.
Drag reduction of stable biomimetic superhydrophobic steel surface by acid etching under an oxygen-sufficient environment
Authors: Rong Wanting , Zhang Haifeng , Mao Zhigang , Liu Xiaowei , Song Keguan 
Published: January 2020

Abstract
Superhydrophobic surfaces have shown utility applications in drag reduction field. A novel method based on simulation analysis and test experiments is proposed to fabricate a superhydrophobic surface with 3D flower-like micro and nano-structures on a steel ball under an O2 rich environment. The superhydrophobic steel surface has water CA of 166 ± 1.5°. The sliding angle is less than 2°. The experiment and the simulation of the superhydrophobic and the untreated steel ball fall under water are built to prove the validity of the method of reducing water resistance. The drag reduction ratio of the superhydrophobic steel ball is beyond 53% opposed to the untreated surface under water. A model simulation is built to simulate and analyze the solid-liquid interface drag reduction mechanism of superhydrophobic surface based on theoretical analysis. The result testifies the rationality of the drag reduction experiment.
Influence of 2,4-Diamino-6-Phenyl-1-3-5-triazine on bio synthesized TiO2dye-sensitized solar cell fabricated using poly (ethylene glycol) polymer electrolyte
Authors: Abisharani J M , DineshKumar R , Devikala S , Arthanareeswari M , Ganesan S 
Published: January 2020

AbstractAn ecofriendly TiO2from a plant extract ofAverrhoa bilimbiwith cost effective and non-toxic with cis dithiocynato-N, N-bis(2,2- bipyridyl-4,4-dicarboxylic acid)ruthenium(II) (N3 dye) in dye-sensitized solar cells (DSSC) reports better efficiency of 5.2%. The green synthesized TiO2nanoparticles along with 2,4-Diamino-6-Phenyl-1-3-5-Triazine (DPT) doped Poly(ethylene glycol) (PEG)/KI/I2/Pt shows better efficiency in dye-sensitized solar cells. The green TiO2was characterized with XRD, UV, FTIR, SEM, TEM and EDX techniques confirm the band gap of 3.2 eV and 15 nm size for TiO2. The mechanical and electrical properties of DPT doped PEG/KI/I2polymer electrolyte were characterized with XRD, FTIR, EIS, DSC and TGA and it was confirmed that the DPT well miscible with PEG polymer electrolyte and improvesthe electrical conductivity and enhancesthe efficiency of DSSC.
Effect of particle contact on the electrical performance of NTC-epoxy composite thermistors
Authors: Deutz D B , Zwaag S van der , Groen P 
Published: January 2020

Abstract
As demand rises for flexible electronics, traditionally prepared sintered ceramic sensors must be transformed into fully new sensor materials that can bend and flex in use and integration. Negative temperature coefficient of resistance (NTC) ceramic thermistors are preferred temperature sensors for their high accuracy and excellent stability, yet their high stiffness and high temperature fabrication process limits their use in flexible electronics. Here, a low stiffness thermistor based on NTC ceramic particles of micron size embedded in an epoxy polymer matrix is reported. The effect of particle-to-particle contact on electrical performance is studied by arranging the NTC particles in the composite films in one of three ways: (1) Low particle contact, (2) Improved particle contact perpendicular to the electrodes and (3) dispersing high particle contact agglomerated clumps throughout the polymer. At 50 vol.% of agglomerated NTC particles, the composite films exhibit a β-value of 2069 K and a resistivity, ρ, of

3.3
·

10

5

Ωm, 4 orders of magnitude lower than a randomly dispersed composite at identical volume. A quantitative analysis shows that attaining a predominantly parallel connectivity of the NTC particles and polymer is a key parameter in determining the electrical performance of the composite film.
Alcohol Consumption by Beverage Type and Risk of Breast Cancer: A Dose-Response Meta-Analysis of Prospective Cohort Studies
Authors: Sun Qiuyu , Xie Weihong , Wang Yanli , Chong Feifei , Song Mengmeng , Li Tiandong , Xu Linping , Song Chunhua 
Published: January 2020

Abstract

Aims
Alcohol intake has been shown to increase the risk of breast cancer. However, the dose-response analysis of different alcoholic beverages (spirits, wine and beer) is not clear. Our meta-analysis aims to provide a dose-response estimation between different alcohols and breast cancer risk.

Methods
Search of PubMed and Web of Science and manual searches were conducted up to 1 December 2018, and summary relative risks (RRs) and attributable risk percentage (ARP) for alcohol intake on the development of breast cancer were calculated. Dose-response meta-analysis modeled relationships between drinking type and breast cancer risk. Sources of heterogeneity were explored, and sensitivity analyses were conducted to test the robustness of findings.

Results
In total, 22 cohort studies and 45,350 breast cancer cases were included. Current drinkers for ER+ had an increased risk compared with never drinkers. In dose-response analysis, there was a statistically significant linear trend with breast cancer risk increasing gradually by total alcohol and wine dose: when adding 10 g per day, the risk increased by 10.5% (RR = 1.10, 95%CI = 1.08–1.13) in total alcohol and 8.9% (RR = 1.08, 95%CI = 1.04–1.14) in wine. For postmenopausal women, the risk increases by 11.1% (RR = 1.11, 95%CI = 1.09–1.13) with every 10 g of total alcohol increase. Furthermore, the breast cancer alcohol-attributed percentage is higher in Europe than in North America and Asia.

Conclusions
The effect of drinking on the incidence of breast cancer is mainly manifested in ER+ breast cancer. Quantitative analysis showed total drinking had a significant risk for breast cancer, especially for postmenopausal women. However, for different alcohols, just wine intake has the similar results.
Strict propriety is weak
Authors: Campbell-Moore Catrin , Levinstein Benjamin A 
Published: January 2020

AbstractConsiderations of accuracy – the epistemic good of having credences close to truth-values – have led to the justification of a host of epistemic norms. These arguments rely on specific ways of measuring accuracy. In particular, the accuracy measure should be strictly proper. However, the main argument for strict propriety supports only weak propriety. But strict propriety follows from weak propriety given strict truth directedness (which is non-negotiable) and additivity (which is both very common and plausible). So no further argument is necessary.
Identifying cell types to interpret scRNA-seq data: how, why and more possibilities
Authors: Wang Ziwei , Ding Hui , Zou Quan 
Published: January 2020

AbstractSingle-cell RNA sequencing (scRNA-seq) has generated numerous data and renewed our understanding of biological phenomena at the cellular scale. Identification of cell types has been one of the most prevalent means for interpreting scRNA-seq data, based upon which connections are made between the transcriptome and phenotype. Herein, we attempt to review the methods and tools that dedicate to the task regarding their feature and usage and look at the possibilities for scRNA-seq development in the near future.