bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimization of identifiability for efficient community detection
Authors: Li Hui-Jia , Wang Lin , Zhang Yan , Perc Matjaž 
Published: June 2020

Abstract
Many physical and social systems are best described by networks. And the structural properties of these networks often critically determine the properties and function of the resulting mathematical models. An important method to infer the correlations between topology and function is the detection of community structure, which plays a key role in the analysis, design, and optimization of many complex systems. The nonnegative matrix factorization has been used prolifically to that effect in recent years, although it cannot guarantee balanced partitions, and it also does not allow a proactive computation of the number of communities in a network. This indicates that the nonnegative matrix factorization does not satisfy all the nonnegative low-rank approximation conditions. Here we show how to resolve this important open problem by optimizing the identifiability of community structure. We propose a new form of nonnegative matrix decomposition and a probabilistic surrogate learning function that can be solved according to the majorization–minimization principle. Extensive in silico tests on artificial and real-world data demonstrate the efficient performance in community detection, regardless of the size and complexity of the network.
Design and Operation of the ATLAS Transient Science Server
Authors: Smith K. W. , Smartt S. J. , Young D. R. , Tonry J. L. , Denneau L. , Flewelling H. , Heinze A. N. , Weiland H. J. , Stalder B. , Rest A. , Stubbs C. W. , Anderson J. P. , Chen T.-W , Clark P. , Do A. , Förster F. , Fulton M. , Gillanders J. , McBrien O. R. , O’Neill D. , Srivastav S. , Wright D. E. 
Published: June 2020

Abstract
The Asteroid Terrestrial impact Last Alert System (ATLAS) system consists of two 0.5 m Schmidt telescopes with cameras covering 29 square degrees at plate scale of 1.86 arcsec per pixel. Working in tandem, the telescopes routinely survey the whole sky visible from Hawaii (above

δ
>
−
50
°

) every two nights, exposing four times per night, typically reaching

o
<
19

magnitude per exposure when the moon is illuminated and

c
<
19.5

magnitude per exposure in dark skies. Construction is underway of two further units to be sited in Chile and South Africa which will result in an all-sky daily cadence from 2021. Initially designed for detecting potentially hazardous near earth objects, the ATLAS data enable a range of astrophysical time domain science. To extract transients from the data stream requires a computing system to process the data, assimilate detections in time and space and associate them with known astrophysical sources. Here we describe the hardware and software infrastructure to produce a stream of clean, real, astrophysical transients in real time. This involves machine learning and boosted decision tree algorithms to identify extragalactic and Galactic transients. Typically we detect 10–15 supernova candidates per night which we immediately announce publicly. The ATLAS discoveries not only enable rapid follow-up of interesting sources but will provide complete statistical samples within the local volume of 100 Mpc. A simple comparison of the detected supernova rate within 100 Mpc, with no corrections for completeness, is already significantly higher (factor 1.5 to 2) than the current accepted rates.
Numerical calculation based on mass and energy balance of waste incineration in the fixed bed reactor
Authors: Khuriati A , Purwanto P , Huboyo H S , Sumariyah S , Suryono S , Putranto A B 
Published: June 2020

Abstract
To evaluate the waste process incineration, a mass, and energy balance is employed to investigate the waste incineration process in a fixed bed. Thermodynamics equilibrium is implemented to describe the incineration process. The complete combustion is only products CO2, H2O, SO2, ash, and excess O2 considered. The mass balance calculates the total mass flow in and out incinerator. Energy balance includes input heat, evaporating heat, chemical heat, radiation, and convection. The input heat is calculated by considering the heat capacity, temperature, heating value, and total mass flow. Evaporation heat is calculated based on the water content, mass flow of each aqueous, and evaporation hot water flow. The result shows that efficiency energy of waste incinerator up to 79,33%. It means the incinerator is included in the good category.
Electrohydrodynamic drying of plant seeds with the shape variation
Authors: Sumariyah S , Khuriati A , Fachriyah E , Pratiwi S H 
Published: June 2020

Abstract
Electrohydrodynamic (EHD) drying is a dryer that does not require moving parts and is environmentally friendly and it results more durable. The purpose of it study is to compare among the physical characteristics of the results of the EHD Drying of the crop seeds with variations in shape. This research used samples of Cucumber (Cucumis sativus) seeds, Long Bean (Vegna Unguiculata ssp) Seeds and Winged bean (Psophocarpus Tetragonolobus) Seeds. It is in variations in diameter of seeds form. EHD flow is yield corona discharge plasma. It is using 10 pairs x 10 pairs of electrodes wich have configuration pin-three concentris ring. It is generated with applied high voltage of 18 kV, the gap electrode 4 mm and drying time 0-35 minutes with a 5 minute time interval. According to the results obtained, the graph of drying rate and the energy efficiency of all seeds sample is the maximum at the beginning of drying is after a 30 minute drying time and then decays with additional drying time. The drying rate and energy efficiency of the cucumber seeds is the largest and the winged bean seeds are the smallest.
Real-time vehicles velocity monitoring and crossroads evaluation using rule-based RESTful maps API service
Authors: Hartanto A , Farikhin F , Suryono S 
Published: June 2020

Abstract
The vehicle velocity monitoring system is an important part of the transportation system. This system is used to conduct monitoring and evaluations so that the quality of the land transportation system can be improved. At present, there are many vehicle velocity monitoring systems. Unfortunately, most of these devices still have to be operated manually, some other devices may have been automated, but it still involves many devices that must be installed, so it is causing problems in installation, maintenance, and repair in the event of damage. In this research, we propose a rule-based cloud system, which monitors the average speed of vehicles passing on the roads that can be used to evaluate the traffic controller at crossroads using the Maps API-Service that accessed via RESTful web services. Longitude and latitude coordinates of the road are inputted into the Maps API-Service than results in distance and travel time data. This data is then developed into other information using the formula and rule-based method to measure the vehicle’s velocity and traffic controller performance. The result of this research produces a cloud-based information system that can measure vehicle velocity and performance of crossroads traffic controllers in real-time and automatically.
Database replication method for real-time measurement pH parameter of fishery using a wireless sensor system
Authors: Sugiharto W H , Ghozali M I , Susanto H , Budihardjo M A , Suryono S 
Published: June 2020

Abstract
The problem of mass fish mortality in Indonesia is already common, Environmental conditions determine the survival of fish. Determination of water environmental conditions has water parameters including water (depth, brightness, water temperature, acidity (pH), dissolved oxygen (DO) and ORP (Oxidation Reduction Potential)). Acidity (pH) is one of the important things in determining the water quality of water. The pH generally increases due to polluted waters. Environmental conditions that are always changing will affect the life processes of organisms in it, especially fish need to be monitored in realtime, especially to avoid massive fish mortality. This paper purpose the real-time acquisition builds with combine the wireless sensor system and database replication concept. From the result of implementation database replication method for real-time measurement pH parameter of fishery agriculture using wireless sensor system, that’s the system can perform continuously to real-time acquisition data online
Authentication of gold jewelry based on elemental composition using laser-induced breakdown spectroscopy
Authors: Anggraini D , Khumaeni A , Hartadi B S , Sugito H , Wardaya A Y 
Published: June 2020

Abstract
One method of identifying gold jewelry is laser-induced plasma spectroscopy (LIBS). In the LIBS technique, plasma is produced by the interaction of laser pulses with the material. Plasma formed shows a monochromatic beam of light with a certain wavelength then analyzed using a spectrometer. In this present research, pulse Nd: YAG laser (1064nm) is used to generate plasma. Au spectrum analysis was performed to distinguish 99.9%, 75%, and imitation jewelry. The 99.9% gold jewelry spectrum has similarities to the 75% gold spectrum. However, Au elements in imitation jewelry are not detected. Spectrum data with different treatments according to the repetition rate also conducted to determine the characteristics of the generated plasma.
Construction of lyapunov function using gradient method to stability analysis of the nitrogen-phosphate-phytoplankton-sediment interaction model
Authors: Widowati  , Putro S P , Triyana E 
Published: June 2020

Abstract
The significant growth in catch fisheries and aquaculture production has enhanced the world’s capacity to consume diverse and nutritious food; however, this fast-growing industry has resulted in the environmental disturbance, especially caused by fish farming. The nutrient was generated from fish excretion and unfed pellet in the form of dissolved organic matter, especially as nitrogen and phosphate particulates. Therefore, applying mathematical models is crucial to understand and minimize the impact on the water ecosystem, thus maximizing productivity. This paper aims to research to analyze the global and stability of the equilibrium point the dynamical system that water and sediment in aquaculture Integrated Multi-Trophic Aquaculture (IMTA) system. Analysis stability global has been proved by constructing the Lyapunov function. The gradient method is used to construct the Lyapunov function in the most general form. The method is based on the assumption of a variable gradient function by determining V and ∇V. In the Lyapunov method construction, if the function V(x) would be definite positive, whereas derivative V(x) would be a definite negative. Models of nitrogen, phosphate, phytoplankton, and sediment system exhibited globally asymptotically stable. This implies that fish farming using the IMTA system on Karimunjawa island was still considerably under normal condition.
The algebraic structure on the neutrosophic triplet set
Authors: Suryoto S , Harjito  , Udjiani T 
Published: June 2020

Abstract
The notion of the neutrosophic triplet was introduced by Smarandache and Ali. This notion is based on the fundamental law of neutrosophy that for an idea X, we have neutral of X denoted as neut(X) and anti of X denoted as anti(X). This paper studied a neutrosophic triplet set which is a collection of all triple of three elements that satisfy certain properties with some binary operation. Also given some interesting properties related to them. Further, in this paper investigated that from the neutrosophic triplet group can construct a classical group under multiplicative operation for ℤ
n
, for some specific n. These neutrosophic triplet groups are built using only modulo integer 2p, with p is an odd prime or Cayley table.
Analysis total plate count (tpc) and organoleptic test on seaweed chips
Authors: Zainuri M , Endrawati H , Winarni S , Arifan F , Setyawan A , Hapsari H P 
Published: June 2020

Abstract
Some seaweed in Indonesia has economic value, such as jelly-producing seaweed, namely Gracilaria, Gelidium, Gelidiopsis, and Hypnea, carrageenan-producing seaweed, namely Euchema spinosium, Euchema cottonii, Euchema striatum, algin-producing seaweed, that Sargassum, Macrocystis and Lessonia. This study aims to determine the microbial contamination on seaweed chips with total plate count (TPC) method and organoleptic test. The samples used were Sargassum chips and Eucheuma cottonii chips with variations in drying of seaweed raw materials. Seaweed chips samples were tested for microbial contamination. The number of microbial contamination on Sargassum chips was 2.6 × 102 CFU/ml and E. cottonii chips was 2.8 × 102 CFU/ml. Based on TPC analysis concluded that Sargassum chips and E. cottonii chips were both safe for consumption because the amount of microbial contamination does not exceed the maximum limit of the Indonesian National Standard, which is 105 CFU/ml. Based on organoleptic tests, Sargassum chips were preferable than E. cottonii chips.
Production of coco-vinegar in a bubble biofermentor
Authors: Jannah S N , Purwantisari S , Handayani D , Hartati I , Yulianto M E 
Published: June 2020

Abstract
The economic value of coconut water can be increased through its conversion into a functional drink of coco vinegar powder having antioxidant and anti-diabetic properties. The fermentation of coconut water into coco-vinegar is more beneficial and cheaper than the chemical routes. Nevertheless, to guarantee product stability and increase the fermentation rate, the fermentation process must be controlled. Bubble bio-fermentation is an applicative technique in upgrading the production scale and in preserve the coco vinegar quality due to its unique characteristics i.e.: simple design, fixed part, controlled flow and agitation, uniform space-time, larger contact area, lower energy input, larger capacity, and higher mass transfer rate. This research objective was to investigate the influence of the parameter process i.e. sugar and alcohol concentration towards the formation of acetic acid in the coconut water fermentation. The research showed that bubble fermentation of coconut water was proven as a potential method for the coco vinegar production process. The bubble bio-fermentation of coconut water conducted by the addition of 8% of sugar, 10% of ethanol and 15% of Acetobacteracetii inoculum and fermentation process for 21 hours was able to give a vinegar having acetic acid concentration up to 1.04%.
Leaf anatomy response of several varieties of rice (Oryza sativa L.) to the application of silica fertilizers
Authors: Kristamtini  , Wirasti C A , Widodo S , Sudarmaji  
Published: June 2020

Abstract
Rice (Oryza sativa L.) requires large amounts of silica for its growth. This study aims to determine the response of leaf anatomy and agronomic performance of several rice varieties to the application of Silica fertilizer. The study was conducted in the first rainy season of 2018 (November 2017 to March 2018 in Semanu, Gunungkidul, Indonesia. The study was arranged in factorial, the first factor was 4 rice varieties (V1 = Inpari blast, V2 = Inpari 42, V3 = Ciherang, and V4 = Inpari 33), the second factor is the treatment of Silica fertilizer dosage (P1 = 250 kg / ha of Silica fertilizer; P2 = 500 kg / ha of Silica fertilizer, P3 = 1,000kg / ha of husk ash, and P4 = 750 kg / ha of Silica fertilizer). Observing agronomic traits including plant height, number of productive tillers, number of filled grains per panicle, and productivity). In addition to observing agronomic traits, microscopic observations of leaf anatomy were also carried out with thick upper and lower epidermal cells, cuticles in the upper and lower epidermis, mesophyll thickness in major and minor intervenous regions. The data obtained were analyzed for variance (ANOVA = Analysis of variance) and Duncan’s advanced test using SAS version 9.2. The results showed that the administration of silica fertilizer increased rice growth and productivity as well as increasing the thickness of the epidermis and upper and lower cuticles both in major and minor intervenous. The highest productivity was achieved by Inpari 42 varieties in the application of 750 kg Silica fertilizer/ha (9.69 ton/ha Harvested Dry Grain).
Metagenome analysis of gut microbial in both the caged and non-caged ducks
Authors: Susanti R , Yuniastuti A , Fibriana F 
Published: June 2020

Abstract
The different duck husbandry techniques, the type of feeds, and environments are believed to have an impact on the diversity of duck’s gut microbiome. This research has the objective to examine the diversity of gut microbiome of duck in different husbandry models, i.e., cage and non-cage. The research design was an exploratory study. Duck samples were taken purposively from both cage (CG) and non-cage (NCG) methods at local duck farms in Gunungpati, Semarang, Central Java, Indonesia. Five grams of duck intestinal samples were prepared for DNA isolation, 16S rRNA gene amplification in the V3-V4 region and were sequenced with Next Generation Sequencing (NGS) method: metagenomics. The 16S metagenomic analysis was performed using QIIME2 (Ver. 2019.4). The most dominant gut bacteria that found in both CG and NCG was Family Enterobacteriaceae, Phylum Proteobacteria and followed by Lactobacillaceae from Phylum Firmicutes. However, the bacterial diversity map in family level was not shown a significant trend between CG and NCG. There were 851 shared species belongs to NCG and CG; it means that more than 800 same bacteria species build up the gut ecosystem both in NCG and CG. It is likely because of similar feed and environmental condition from the two husbandries. The diversity of duck gut microbiome in Gunungpati may be closely related to feeding, rearing techniques, and environments. The number of bacteria species in the non-caged duck (NCG) was higher than CG or caged duck.
The influence of high energy milling to the adsorption of Cd(II) and Zn(II) ions on activated zeolite
Authors: Pardoyo P , Astuti Y , Herinnayah G , Suhartana S , Wibawa P J 
Published: June 2020

Abstract
Natural zeolite is believed to be able to effectively reduce heavy metal levels in water. However, due to the weakness of natural zeolites which have a low surface area and impurity so that the adsorption ability of heavy metals becomes less optimal. Increasing the surface area by using high energy milling is expected to optimize the ability of adsorption. In this study, the particle size of natural zeolite was reduced by using high energy milling then activated with HCl and NH4Cl. The adsorption process was carried out by mixing activated zeolite and activated zeolite milling(activated zeolite fine powder) in a solution of metal ions Zn(II) and Cd(II). SEM-EDX analysis showed a change in surface morphology size on activated zeolite milling and GSA indicated an increase in surface area from 69.48 m2/g to 97.9 m2/g. Activated zeolite tends to having a little bigger in ability of adsorption to Cd(II) ions and Zn (II) ions than activated zeolite milling in highest variation of concentration, 800 ppm. In optimum contact time of adsorption, activated zeolite could adsorp Cd(II) ions shorter nevertheless longer to Zn(II) ions than activated zeolite milling. Both of the zeolites have ability to adsorp Zn(II) ions more than Cd(II) ions.
Understanding the interaction of polysulfone with urea and creatinine at the molecular level and its application for hemodialysis membrane
Authors: Sasongko N A , Siahaan P , Lusiana R A , Prasasty V 
Published: June 2020

Abstract
The formation of polysulfone and its interaction with urea and creatinine have been evaluated at the density functional theory (DFT) level (B3LYP/6–31G**) to study the transport phenomena in hemodialysis membrane at a molecular level. The energy interaction of PSf-creatinine and PSf-urea complexes are -3.87 kcal/mol and -6.31 kcal/mol, respectively; which were classified in weak hydrogen bond interaction. Furthermore, the size of the urea is smaller than creatinine by 5.6 and 3.2 Å, respectively. All data presented that urea has a stronger interaction with PSf than creatinine that indicated urea easier to transport in the PSf membrane than creatinine during the hemodialysis process.
An optimization model of economic order quantity with financial constraints and market tolerance in ud plastikq
Authors: Larasati R H , Khabibah S , Aziz A 
Published: June 2020

Abstract
An optimization model of Economic Order Quantity (EOQ) is one of the methods used to determine the inventory order quantity that can minimize the cost of storage and the cost of ordering supplies. The optimization model in this paper is an optimization model of Economic Order Quantity (EOQ) with financial constraints and market tolerance. Financial constraints include the limited capital available per period and the advanced payment. In the market tolerance factor, there are two periods of market tolerance and three levels of the backorder. Based on this model, numerical simulations can be formulated and carried out so that the best optimal solution was obtained when conditions are unlimited, complete backorder, no advanced payment and the market tolerance period is 0.2 with a total cost decrease of 28,92% and a total profit increase of 13,37% from the initial condition.
Evaluation university ranking system using quacquarelli Symonds and integrated performance measurement system approach
Authors: Prisyanti A , Nurhayati O D , Widodo A P 
Published: June 2020

Abstract
Institutional assessment in the current era is indispensable because of increasing global competition and economic and information growth. Assessment efforts were also carried out on various factors including improving the quality of lecturers, meeting study programs that were in line with national development needs, developing educational curricula, improving the quality of community services and research, and adding internal and external collaboration. It aims to strengthen management and governance so that it has good performance and makes the university a World Class University (WCU). Fulfillment of WCU criteria in faculties or departments is one of the steps to determine the strategy for achieving a tertiary institution by giving more weight to faculty excellence to encourage the use of relevant new criteria. Also, in the ranking process, there are different criteria or indicators in several ranking techniques in the world as a manifestation of performance appraisal of the overall implementation of the organization. Quacquarelli Symonds (QS) is a rating agency that evaluates university weaknesses and strengths and produces assessments that show achievement ratings. The QS ranking also has six indicators that are believed to illustrate the value of the university.
Forecasting of jabodetabek train passengers using singular spectrum analysis and holt-winters methods
Authors: Safitri D , Subanar  , Utami H , Sulandari W 
Published: June 2020

Abstract
Train is one of the convenient transportation, it also reduce traffic jam in Jabodetabek. In order to maintain the convenience of passengers using train services, it is necessary to predict the number of train passengers as a consideration in the planning of Jabodetabek train services. In this study the Singular Spectrum Analysis (SSA) and Holt-Winters methods are used to predict the number of Jabodetabek train passengers. SSA is a powerful technique for nonparametric time series analysis and forecasting, which decomposes the original time series into the sum of a small number of independent and interpretable components such as a slowly varying trend, oscillatory components and noise. Holt-Winters method are suitable methods for data that contains trends and seasonality. The Holt-Winters method is based on three smoothing equations, one for level, one for trend, and one for seasonality. SSA method in forecasting the number of Jabodetabek train passengers give lower Mean Absolute Percentage Error (MAPE) value than Holt-Winters method. This means SSA method is better than Holt-Winters method in forecasting the number of Jabodetabek train passengers.