bluuebunny/crossref_metadata_2025_split huggingface dataset:
Band gap reduction and quenching of p-d exchange interaction in sol-gel derived Zn(Al,Cu)O nanostructures
Authors: Sharma Ankit , Khangarot Rama Kanwar , Misra Kamakhya Prakash , Misra R D K , Chattopadhyay Saikat , Babu P D , Halder Nilanjan 
Published: April 2021

Abstract
The objective of the present study is to address the gap in the fundamental knowledge on the effect of doping and co-doping in ZnO nanostructures. In this regard, we explore the significant impact of Al- and Cu co-doping on band-gap and associated changes in the ZnO system. Sol-gel co-precipitation was used to synthesize ZnO-based nanostructures to accomplish the objective. Crystallite size determined by XRD was in the range of 6.44-37.58 nm and the lattice constant, c, initially decreased with co-doping, accompanied by an increase. Strong co-doping with Cu altered the nature of microstrain from tensile to compressive. FTIR studies predicted that Al and Cu were incorporated at Zn-O site through the formation of Al-O and Cu-O bonds, while UV-vis studies suggested the reduction of the band-gap when Al and Cu were incorporated in ZnO. The underlying reason was Cu-3d and O-2p exchange interaction in Zn(Al,Cu)O system. Quenching of this exchange interaction occurred in the presence of specific combination of dopant and co-dopant, along with blocking of the low energy transitions, eventually leading to a band-gap slightly greater than undoped ZnO. Furthermore, the emission peak observed in the photoluminescence spectra implied redshift induced by Al-doping, which was not influenced on Cu co-doping. Another important observation was the presence of ferromagnetic character in all samples, where saturation magnetization decreased with the increase in Al and Cu content in ZnO matrix, a behaviour attributed to anti-ferromagnetic coupling of spins of Cu ions at the substitutional sites of Zn-O. Lastly, electron microscopy revealed that the morphology of undoped ZnO transformed from granular to sand-rose on doping with Al, while Cu co-doping led to the formation of heavy clusters. The new insights on the band-gap reduction and associated structural changes in doped ZnO-based nanostructured materials have the potential for next generation of spintronic devices.
Enhancing Tensile Strength and Porosity of Self Compacting Concrete (SCC) with Glass Waste Powder
Authors: Prasetyo Wisnu Ari , Sunarsih Ernawati Sri , Sucipto Taufiq Lilo Adi , Rahmawati Kundari 
Published: April 2021

Abstract
Utilization of glass waste powder is an alternative material as a substitute for some cement in SCC concrete because the element contained in the glass waste powder has similarities with cement. Research on glass waste powder as a substitute for some cement using percentage variation that is 5%, 10%, 15%, 20%, 25%, and 30%, with the age of SCC concrete 28 days. The study uses quantitative methods to obtain data on the tensile strength and porosity of the SCC concrete with glass waste powder as a partial substitute for cement. A tensile strength using a cylinder-shaped sample of 150 mm diameter and 300 mm in height with a sample amount per percentage of 4 pieces. The porosity test uses a cylinder-shaped sample of 150 mm in diameter and 300 mm in height with a sample number of each 4 pieces. The results of the study acquired a significant influence of the addition of glass waste powder to strong tensile and porosity of the SCC. Besides, it also obtained the optimal percentage value of the addition of glass waste powder to tensile strength concrete of 5.5% with a maximum value of tensile strength 3.422 MPa. For porosity obtained the optimal percentage value of glass waste powder at 8.583% with a porosity value of at least 9.806%.
Formation of the β-FeSi2 phase by pulsed laser deposition
Authors: Kuznetsov Yu M , Dorokhin M V , Nezhdanov A V , Zdoroveichev D A , Lesnikov V P , Ved M V 
Published: April 2021

AbstractThis paper presents a method for the formation of theβ-FeSi2phase on silicon and sapphire substrates by pulsed laser deposition in vacuum. The analysis of the phase composition of the films, based on the identification of Raman peaks is presented. The magnetic properties of the samples were studied by measuring the magnetic field dependence of the Hall resistance. The presence of a magneticFe3Siphase on a silicon substrate was shown.
Plasma-enhanced atomic layer deposition of GaP/GaN digital alloys
Authors: Uvarov A V , Gudovskikh A S , Baranov A I , Morozov I A , Kudryashov D A 
Published: April 2021

Abstract
This article is concerned with plasma-enhanced atomic layer deposition of GaPN in the form of a GaP/GaN digital alloy at 380°C on a silicon substrate. It was found that the GaP/GaN digital alloy has a uniform structure without significant mechanical stresses and defects at the interface with the substrate. EDX and Raman scattering study confirmed deposition of a monolithic GaPN crystalline material with a total nitrogen content of 7.8%.
Synthesis and study of zinc oxide nanorods for semiconductor adsorption gas sensors
Authors: Anikina M A , Ryabko A A , Nalimova S S , Maximov A I 
Published: April 2021

Abstract
Gas-sensitive coatings based on zinc oxide nanorods were synthesized by a low-temperature hydrothermal method. It was shown that the synthesis of nanorods significantly increases the sensitivity of the samples to isopropyl alcohol vapors. Zinc oxide nanorods are promising for practical application in semiconductor adsorption gas sensors.
Mercury content of Sardinella lemuru caught in East Java and Bali waters
Authors: Sartimbul A , Amandani J A , Yona D , Fuad M A Z 
Published: April 2021

Abstract

Sardinella lemuru is a small pelagic fish which is mostly caught in Java and Bali waters. It is important because of its high Omega-3 fatty acid. As pelagic fish that are found in relatively shallow waters and near the coast, it could be contaminated from the land. The purpose of this study is to analyse the mercury content of S. lemuru caught in three fishing ground in East Java (Prigi and Muncar) and Bali (Kedonganan). Fish samples were taken by random sampling and collected from November 2019 to March 2020 and analysed for mercury content using the Cold Rapoun Atomic Fluorescence method using the Atomic Absorption Spectroscopy (AAS) Shimadzu AA-6200. Furthermore, the Estimated Daily Intake (EDI) and Maximum Tolerable Intake (MTI) are calculated. The results showed that mercury concentration in S. lemuru were 0.938 ± 0.45 mg/kg and 0.58 ± 0.65 mg/kg for Kedonganan and Prigi, respectively. While, there is undetected mercury for Muncar fish samples. The mercury concentration identified are above the Indonesia standards (SNI and BPOM = 0.5mg/kg). Moreover, the EDI value was higher than Provisional Tolerable Daily Intake -WHO. The mean value of MTI is 0.121 mg/week. If fish contaminated mercury was consumed in one week exceeds the MTI value, the heavy metal could affect the human health.
The study of structural properties and photocatalytic activity of ZnO prepared by ultrasonic assisted precipitation method
Authors: Sanusi S , Setiadji S , Hakim N D , Aziz S H R A , Sawitri A , Aliah H , Hadisantoso E P , Ivansyah A L , Syarif D G 
Published: April 2021

Abstract
ZnO is a semiconductor that has excellent activity as photocatalyst under UV light region. ZnO is precipitated by adding oxalate acid onto zinc acetate dehydrate solution with ultrasonic assisted at various times and flattened at 500 °C. The structural properties of the ZnO samples are characterized by X-Ray Diffraction (XRD) and Brunauer-Emmett-Teller (BET). XRD result has confirmed the ZnO structure as hexagonal phase. Rietveld refinement of XRD pattern by La Beil method is employed to analyze the lattice parameters of ZnO. It provides that ZnO as wurtzite with accurate values. Debye-scherrer equation examines the crystallite size. It is confirmed that the crystallite size of ZnO is decreased by ultrasonic assisted at precipitation. BET result shows that ultrasonic assisted could increase the surface area of ZnO, which are 45.64 m2/g of ZnO without ultrasonic assisted and 143,487 m2/g of ZnO with ultrasonic assisted along 2 hours. The photocatalyst experiment is set up to analyze the photocatalytic activity of ZnO for degradation of methylene blue under UV light irradiation. By significantly that decolorization of methylene blue occurred at pH 10 for 30 minutes irradiation. The photocatalytic activity for ZnO samples with an hour and 2 hours ultrasonic assisted are 79.54 % and 86.50 % respectively, whereas ZnO sample without ultrasonic assisted is 70.90 %, and almost all of methylene blue contaminant have done degraded successfully after 120 minutes irradiation. According to the results, the structural properties and photocatalytic activity of ZnO are increased as consequence to the presence of ultrasonic assisted on precipitation.
Analysis of cyclamate sweeteners in elementary school student’s drink in South Denpasar Subdistrict
Authors: Singapurwa N M A S , Yunantariningsih I D A , Sudiarta I W , Candra I P , Semariyani A A M 
Published: April 2021

Abstract
Cyclamate is an artificial sweetener with a sweetness level of 30- 40 times greater than sucrose. This study aimed to determine the content and levels of cyclamate sweetener in unmarked beverages without labels that are prepared and sold by elementary school canteens in South Denpasar District. This research is a type of descriptive research that uses survey methods with simple random sampling techniques and experiments in the laboratory. The number of elementary schools in South Denpasar District is 72 schools. The population in this study were 145 types of unmarked beverages without labels that were prepared and sold by elementary school canteens in South Denpasar District. The number of samples sampled is 110 samples. The parameters of artificial sweeteners in this study were cyclamate tested by HPLC. Research data are presented in tables, graphs and analyzed descriptively. The results showed that of 110 samples containing 62 cyclamate (56.36%). Cyclamate levels that exceed the maximum limit requirements so that they do not meet the requirements of 44 samples (40%) and meet the requirements of 66 samples (60%), according to the maximum allowable limits refer to the Head of the Indonesian National Agency for Drug and Food Control No. 4 of 2014.
Phytochemical and antioxidant capacity test on turmeric extract (Curcuma longa) traditionally processed in Bali
Authors: Permatananda P A N K , Aryastuti A A S A , Cahyawati P N , Udiyani D P C , Wijaya D , Pandit I G S , Wirajaya A A N M 
Published: April 2021

AbstractBali is an island that is famous for its culture, including traditional medicine. In traditional medicine, the Balinese use various kinds of medicinal plants, one of which is Turmeric. The purpose of this study was to determine the ways and objectives of the use of turmeric by Balinese, as well as the phytochemical content and antioxidant capacity of turmeric extract which is traditionally processed in Bali. The method and purpose of utilizing turmeric were obtained through observation and interviews with 900 Balinese respondents. Quantitative phytochemical tests include starch, protein, flavonoid, tannin, phenol and vitamin C levels and qualitatively for the presence of triterpenes, steroids, alkaloids, and saponins. Antioxidant capacity was measured using the DPPH method. Through this research, we found there were only 36.8% of respondents had ever used turmeric as a traditional medicine. Utilization of turmeric was mostly in the form of loloh or traditional drinks. Phytochemical test results showed turmeric extract had 67.38% starch, 3.42% protein, 2709.39 mg/100 gr flavonoids, tannins 291.64 mg/100gr, phenol 1584.04 mg/100 gr, and vitamin C 0.06 mg/100gr. Qualitatively, turmeric extract contained triterpenes, alkaloids, and saponins, but did not contain steroids. The antioxidant capacity of turmeric extract was 70.9 mg/L GAEAC. Turmeric extract is a traditional medicine made from nature that is most commonly used by Balinese and very potential to be developed as an antibacterial, antioxidant, anti-inflammatory, or other benefits that still need further investigation.
Computational modeling of inclusion complex between aromatic amine and calixarene analogs using Semiempiric Quantum Method (SQM)
Authors: Ivansyah A L 
Published: April 2021

Abstract
PM3 Semiempiric Quantum calculation has been done in this research by using Gaussian 2009 Rev. D 01 software package to explore the capability of Calixarene and its analogs for aromatic amine extraction. The Calixarene analogs used in this research are Calixpyrrole, Calixpyridine, Thiacalixarene, Heterocalixaromatic, Calixcarbazole and Calixnaphtalene; and the aromatic amine used in this research are Aniline, 4-Chloroaniline, Toluene-2,4-diamine, 2-Naphty lamině, 4,4’-Mety lenbis(2-chloroaniline), 4,4’-Metylendianiline, N-Nitrosodiphenylamine, Benzidine, 2-Aminobiphenyl, 2-Amino-1-methyl-6-phenylimidazo[4,5-b] Pyridine, 3-Trifluoromethylaniline, p-Phenylendiamine, o-Toluidin, 4-Chloro-o-toluidin. The most suitable host molecule of calixarene analogs for extraction of aromatic amine compounds are Calixnaphthalene and Calixpyridine because all of aromatic amine compounds form inclusion complex with them spontaneously shown by negative value of binding energy.
Puree sweet potato substitution in wet noodle processing
Authors: Mahmudatussa’adah A , Maulani R R , Patriasih R , Karpin K , Setiawati T , Juwaedah A , Nurani A S , Wiraatmadja E L 
Published: April 2021

Abstract
Wet noodles are generally made from flour and water or other additives. They are formed in a typical noodle and have been through the process of boiling or steaming. Wheat flour is derived from wheat which cannot grow well in Indonesia. One of the drawbacks of wheat flour that has less natural color. Sweet potato is one source of carbohydrates with cream, yellow, orange and purple flesh. The natural color in the sweet potato has a function as a good antioxidant to maintain body health. The disadvantage of sweet potato does not contain gluten, which functions as a form of elasticity in the noodles. Thus in this research, sweet potato puree substitution will be carried out in the processing of wet noodles. The method used is an experiment with a complete random design. The results showed that the maximum amount of sweet potato puree added was highly dependent on the amount of water content of the sweet potato puree. Orange sweet potato puree has a higher water content than yellow, cream and purple flesh sweet potatoes. Comparison of the amount of sweet potato puree with 1: 1 flour, except for the orange flesh sweet potato 0.8: 1. The time of kneading and the time of the attainment of a smooth noodle dough is highly depend on the water content of sweet potato puree. The higher water content, it leads to form a smooth mixture. The addition of sweet potato puree can extend the shelf life of wet noodles in the refrigerator temperature.
Multivariate weather anomaly detection using DBSCAN clustering algorithm
Authors: Wibisono S , Anwar M T , Supriyanto A , Amin I H A 
Published: April 2021

Abstract
Weather is highly influential for human life. Weather anomalies describe conditions that are out of the ordinary and need special attention because they can affect various aspects of human life both socially and economically and also can cause natural disasters. Anomaly detection aims to get rid of unwanted data (noise, erroneous data, or unwanted data) or to study the anomaly phenomenon itself (unusual but interesting). In the absence of an anomaly-labeled dataset, an unsupervised Machine Learning approach can be utilized to detect or label the anomalous data. This research uses the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm to separate between normal and anomalous weather data by considering multiple weather variables. Then, PCA is used to visualize the clusters. The experimental result had demonstrated that DBSCAN is capable of identifying peculiar data points that are deviating from the ‘normal’ data distribution.
Classification of diabetes disease using decision tree algorithm (C4.5)
Authors: Permana B A C , Ahmad R , Bahtiar H , Sudianto A , Gunawan I 
Published: April 2021

Abstract
Diabetes is one of the most common health problems in the world. Diabetes is also known as “the silent killer” because according to WHO (2016) diabetes increased from 108 million in 1980 to about 422 million adults had diabetes in 2014. If not handled properly, diabetes can become chronic and damage other organs and can cause death. This disease has several symptoms in the patient but evaluating the different factors or symptom variables required to determine which variables are more dominant. This research aims to establish the most influential variable of the many variables causing diabetes mess. We suggest using a data mining decision tree (C4.5) in this paper to forecast diabetes to help doctors analyse the disease sooner. Data mining has carried out various approaches to predict a disease, one of them is the use of c4.5. In this research, produce a decision tree and the result shown that polydipsia play a role in diabetes with accuracy 90.38 %. One of the most dominant signs of diabetics is the sign of polydipsia.
Understanding and assembling user behaviours using features of Moodle data for eLearning usage from performance of course-student weblog
Authors: Chayanukro S , Mahmuddin M , Husni H 
Published: April 2021

Abstract
In reality, students learn via eLearning (electronic online learning) system in different ways depending on their learning needs, learning behaviours as well as eLearning system policy for users. However, most learning outcome prediction models of eLearning systems are still not stable and still cannot be applied in many situations as the use of eLearning is considered to be highly dynamic. Therefore, the objective of this work is understand if eLearning system can be predicted based eLearning usage by exploiting Moodle log data. To understand it, features from web log course-student in Moodle is being considered, a number of machine learning techniques also have been applied for benchmarking in this study. The result found that the current group doesn’t give better understanding and significant groups of factors that could be able to predict the learning outcome.
The effect of task technology fit and entrepreneurship education on student’s entrepreneurship intention using the theory of planned behaviour
Authors: Rustiana R , Mohd O , Mohamad N 
Published: April 2021

Abstract
Entrepreneurship has been proven in various researches in the world to help improve the welfare of society by creating jobs. Many universities in the world have adopted entrepreneurship in their curriculum designs in the form of entrepreneurship education. Besides, the technology fit task variable is also important in increasing student entrepreneurship intention. Therefore, research on entrepreneurship intention (EI) and the factors that influence it among students is very relevant. This study aims to fill the knowledge gap in the effect of task technology fit (TTF) and entrepreneurship education (EE) on entrepreneurship intention (EI) by using the theory of planned behavior (TPB) model. The research sample was 213 undergraduate students at one of the private universities in Yogyakarta selected by the Slovin method. Data were collected through a questionnaire shared with the student by MS Form. Regression analysis tools were used to test the research hypothesis. These results prove that H1, H3a, and H3b have a positive effect on EI with different levels of significance. Meanwhile, H2 has a negative influence on EI. This study has contributed to filling the knowledge gap that TTF and EE can be integrated into the TPB model.
Performance of Cosmos caudatus chlorophyll dye on TiO2 nano particles coating in the manufacture of Dye-Sensitized Solar Cells (DSSC)
Authors: Darmawan M I , Zaidah A , Hidayatulloh A , Mentari I N , Utami E F , Hardani H 
Published: April 2021

Abstract
Energy derived from fossils is diminishing and cannot be renewed. Therefore many experts are looking for other alternatives to create new renewable energy, and Dye-sensitized solar cells (DSSC) are one of them. This study aims to know the characterization of the electrical properties of dye cosmos caudatus material. The research was conducted at the UNS FMIPA Materials Laboratory. This research uses the TiO2 deposition method with the spin coating technique. Absorbance test using PC UV Visible Spectrophotometer 1601 and Current and voltage test (I-V) using Keithley. The efficiency produced by the Cosmos caudatus chlorophyll dye was 8.3 × 10−3 %. These results show that some natural dyes from natural organic material extraction have an absorbance spectrum range of 300-800 nm, which has the potential as DSSC.
Bibliometric analysis of research on mathematical literacy in Indonesia
Authors: Ahyan S , Turmudi T , Juandi D 
Published: April 2021

AbstractMany researchers research mathematical literacy, but there are no articles that discuss how research has developed over a certain period in Indonesia. This article aims to discuss how bibliometric analyses research mathematical literacy during Indonesia’s last ten years. Besides, knowing the description of mathematical literacy research trends in the future. There were 46 bibliometric analyses of articles taken from the Scopus database. Articles were analyzed using Scopus Applications and VOSviewer version 1.6.12. The results showed that 46 articles analyzed in international journals were either still valid or discontinued by Scopus. Furthermore, the term mathematical literacy is most dominant in research and article writing. Finally, research on mathematical literacy is still up-to-date researched in the future, especially related to the learning and assessment process, curriculum development that supports mathematical literacy, and the involvement of teachers, parents, and society in supporting students’ improvement’ mathematical literacy.
Development of matemathic media games education based on e-learning in the Planting of Basic Concepts in Numeracy
Authors: Nurfatanah N , Yudha C B , Marini A , Sumantri M S 
Published: April 2021

Abstract
The purpose of this research is to design and create an educational game based on e-learning Matemathic on the Basic Concept of Counting. The method of this research is research and development. This research was conducted in DKI Jakarta Elementary School class V and the object of research was an educational game based on e-learning Matemathic in the Counting of Basic Concepts as a medium of mathematics learning. The method used in data collection is observation and documentation, and the method of data analysis is quantitative descriptive analysis techniques. The results of this study are in the form of an educational game based on e-learning Matemathic in the Numeracy Basic Concept Planting as a learning media for class V. Material expert validation of learning media material based on the quality of the material and the usefulness of the material gets a percentage of eligibility of 76, 56%. The assessment of media experts on the quality of instructional media is based on the characteristics of the media in learning multimedia gets a percentage of eligibility of 86, 68%. The results of the assessment on product trials are divided into three aspects, namely aspects of screen display design, program operation, navigation, and expediency. Overall assessment results of 68 grade V students obtained a percentage of eligibility of 92,94 % so that this learning media is appropriate to be used as grade V mathematics learning.