bluuebunny/crossref_metadata_2025_split huggingface dataset:
Electrical Properties of Electrochemically Exfoliated Graphite with Copper Addition
Authors: Sulistyaningsih Eka , Abdillah Oktaviardi Bityasmawan , Maharsi Retno , Floweri Octia , Iskandar Ferry 
Published: March 2021

Abstract
In this study, the electrical properties of exfoliated graphite (EG) with copper addition is reported. Firstly, EG samples were synthesized using electrochemical exfoliation of the pre-treated graphite sheet then combined with various copper concentrations. X-Ray Diffraction (XRD) characterization indicated that the composites of EG, Cu, and Cu2O were formed. A higher Cu2O amount obtained when the higher concentration of copper precursor was added in the EG. Scanning Electron Microscopy (SEM) images showed that more particles with larger sizes were anchored on the EG surface as higher copper concentration. The electrical properties of the samples were measured using the four-point probe method. The highest electrical conductivity of 37.86 S/cm was produced in the EG sample with 1 wt.% of copper addition. The result reveals that the optimum copper addition can increase the electrical properties of EG.
Response of loquat seedling growth to interaction between fertilizers and plant growth regulators
Authors: Surya Muhammad Imam , kurniawan Vandra , Putri Dwinda Mariska , Ismaini Lily , Normasiwi Suluh 
Published: March 2021

Abstract
Loquat is an important commercial crop in several countries. Seedling growth was affecting the production of loquat. Fertilizers and plant growth regulators was an important factors to obtain the high quality seedling. This experiment aimed to determine the effects of fertilizers and plant growth regulators on loquat seedling growth. Two doses of compound fertilizers (5 and 10 gram/polybag) with two times of application and three types of plant growth regulators (naphthalene acetic acid/auxin, gibberellic acid/gibberellin, benzylaminopurine/cytokinin) with four doses (0, 25, 50, 100 ppm) were applied to the seedling of loquat. Fifteen parameters i.e. plant height, number of mature and young leaves, number of buds, stem diameter, roots length, leaf surface area of mature and young leaves, fresh and dry weight of leaves, stem, and roots, and total biomass were observed during the experiment. Twenty combination treatments between fertilizers and plant growth regulators gave difference response on loquat seedling. In general, the best treatment is the combination between 5 gr/pot of fertilizers and 100 ppm of cytokinin. Although fertilizers was not significantly affecting the loquat seedling growth, and plant growth regulators was affecting some parameters, the interactions of fertilizers and plant growth regulators was significantly affecting the loquat seedling growth, and almost all parameters has correlated. Our recommendation, the application of plant growth regulators during seedling growth was more effective and efficient than fertilizers.
Development of android based chemical comics integrated Qur’ani values in the main structure of atomic for high schools
Authors: Aulia Putri Rizki , Darmana Ayi , Nugraha Asep Wahyu 
Published: March 2021

Abstract
This study aims to determine the improvement of student learning outcomes with integrated Qur’an learning using comic chemistry media compared to power point media. The ADDIE design was used for this study. The sample was selected by purposive sampling technique. The experimental group was taught using comic chemistry media, while the control group was taught using power point media. The data were collected by pretest and posttest which consisted of 20 multiple choices and were statistically analyzed using the Rasch model using the help of the SPSS and Winstep programs. The results showed that the increase in learning outcomes using comic chemistry media was better than power point media.
Lactic acid level in soccer who consume red dragon fruit juice and regular exercise
Authors: Harahap N S , Suprayitno S , Simatupang N , Sari R M 
Published: March 2021

Abstract
Energy sources for athletes based on their movement patterns come from aerobic and anaerobic metabolism which have the potential to produce lactic acid. The increase in lactic acid causes the pH to decrease so that ATP formation is disturbed and causes pain in the muscles. This situation can affect an athlete’s performance. The antioxidants contained in red dragon fruit can reduce free radicals due to exercise. The purpose of this study was to determine the effect of giving red dragon fruit on reducing levels of lactic acid in an athlete’s blood plasma The subjects were 20 persons, male, who were qualified as athletes, non-smokers and no consumption of supplement as long as the research. The subjects were split into two group, randomly. Group RE; had activity regular exercise and no red dragon fruit given. Group RE+RD; had activity regular exercise and obtained juice from red dragon fruit. The RDF team was given regular exercise and received red dragon fruit juice. Regular exercise combination antioxidant red dragon fruit antioxidants must maintain the anaerobic threshold value to prevent fatigue due to lactic acid.
Review the Utilization of Big Data and K-Means Algorithm in Supporting The Determination of Village Status As Support To The Ministry of Village PDTT
Authors: Hasugian Paska Marto , Hutahaean Harvei Desmon , Sinaga Bosker , Sriadhi  , Silaban Saronom 
Published: March 2021

Abstract
Big data refers to big data, fast data processing, diversity of data structures, and data values so that it is not possible to be processed with outdated methods. Big data technology is used in various industrial sectors. Big data technology is the whole technology that can handle Big Data. Some of the uses of big data are based on the largest significant data traffic sources such as social media, financial transactions, public data, sensor data, and corporate data. The same is the case with the status of so many villages in Indonesia, so it is better to use big data for the classification of village status based on the village index build by involving an algorithm process. This research aims to produce a description of the role of big data in supporting activities in a grouping. The method used is a qualitative approach related to data collection based on scientific work with the source of data information needed to study literature techniques from various studies that have been published in national and international journals. A decision is made that big data has been widely used in different circles to facilitate performance and speed up the decision-making process.
Implementation of Hierarchical Clustering Method in Analyzing Genetic Relationship on DNA SARS-CoV-2 Sequences
Authors: Banjarnahor E , Bustamam A , Mangunwardoyo W , Sarwinda D 
Published: March 2021

Abstract
In mid-September of 2020, WHO released data starting that more than 28 million people worldwide have contracted coronavirus. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the full name coronavirus, specifically Covid-19. This virus attacks the human respiratory system and can cause infection in the human lungs and even death. WHO noted that more than 900 thousand people worldwide have died due to being infected with the coronavirus. In Indonesia, more than 210 thousand people have been infected by the coronavirus, and more than 8,5 thousand of them have died. Based on this data, it is necessary to analyze the coronavirus’s kinship to reduce the spreading. This research uses The Euclidean distance in determining the distance matrix. This research will then use the Hierarchical Clustering method for analyzing the genetic relationship on DNA SARS-CoV-2 sequences. This research will take samples of SARS-CoV-2 DNA sequences from 20 countries infected. From the simulation result, the ancestors of SARS-CoV-2 coming from China. Besides, it also found that the SARS-CoV-2 DNA sequence from Indonesia has the closest ancestor from Pakistan.
Vector Error Correction Model to Forecasting Spot Prices for Coffee Commodities During Covid-19 Pandemic
Authors: Nugroho Wisnu Setia , Astuti Ani Budi , Astutik Suci 
Published: March 2021

AbstractForecasting time series commonly shows non-stationer behavior and involves interrelated variables, so a method that able to obtain a good forecasting result from a non-stationary multivariate time series data is needed. Vector Error Correction Model (VECM) as one of multivariate time series model is a vector form of restricted Vector Autoregressive (VAR) for non-stationary data which has Cointegrity relationship. Prices of agricultural commodities futures usually show variability and unsystematic behavior, especially in times of facing the Covid-19 pandemic as it is today, so getting complete information about data requires data handling while still considering the concept data-driven. Coffee, as one of agricultural commodity data, is often not known for its stationarity. The purpose of this study is to identify the reliability of VECM to predict the spot price of commodities futures coffee during the Covid-19 pandemic in Indonesia. The used data is several observed variables, there are: spot price of Robusta Coffee, futures prices of Robusta Coffee, exchange rates and daily case positive Covid-19 in Indonesia. The results of this study described the Robusta Coffee data in Indonesia as non-stationary and there is a long-term cointegration relationship to the Robusta Coffee futures price movement due to the influence of the Covid-19 pandemic.
Ensemble Analysis of the Students Length of Study at University of Klabat Manado Indonesia
Authors: Ananto Niel , Astuti Ani Budi , Efendi Achmad 
Published: March 2021

Abstract
The purpose of this study is to classify the student’s length of study based on the status of graduating on time or not on time based on several independent variables observed, namely gender, Grade Point Average (GPA), place of residence, type of parents occupation and school origin. The statistics used in this study is non-parametric statistics with a classification analysis method. The classification analysis is to find a training set model of the training set that distinguishes records into appropriate categories or classes. The method used is classification using ensemble techniques. The basic principle of the ensemble method is to develop a set of models from training data and combine a set of models to determine the final classification. The final classification is based on the largest collection of votes from a combination of a set of models. To get the best combination of models, the ensemble method enables the use of several different classification models. The ensemble method used in this study is Bagging and Boosting.
Voltage - Current Waveforms Of Single-phase Power Transformer Due To DC Bias
Authors: Hasan Syafruddin , Suherman  , Muchlishiin Moh. 
Published: March 2021

Abstract
The exist of direct current (DC) component in an alternating current (AC), known as DC bias (or DC Off-set) has undesirable effects, particularly on the power transformer, due to the problem of core saturation (half-cycle saturation). An investigation of magnetizing current waveforms of single-phase power transformer due to DC bias injection through MATLAB simulation is present in this paper. The simulation and study are done by injected AC and DC currents simultaneously. The value of AC is fixed and DC is adjusted (variable) in magnitude and also in the directions (positive and negative). The results show that the waveforms (displayed in magnetic flux) are distorted when the DC bias exists. The pulsated waveforms are pushed to half-cycle in the same direction as DC current injected (positive and negative half-cycle saturation). For comparative necessity, the result without DC bias is also provided.
Effect of Bolt Hole Size on Static Stress and Fatigue Life of UAV Main Landing Gear Using Numerical Simulation
Authors: Wibawa L A N 
Published: March 2021

Abstract
Currently, the use of Unmanned Aerial Vehicle (UAV) or Drone for various applications in science and engineering has increased significantly. One of the essential components of a UAV aircraft is the landing gear which plays an important role during take-off and landing. The paper research the effect of the bolt hole size on the static stress and fatigue life of main landing gear in the UAV aircraft using numerical simulation with Ansys Workbench. The bolt hole size varies 8, 9, 10, 11, and 12 mm. Gerber mean stress theory with a full-reserved type of loading is used to predict the fatigue life. The static stress simulation results show that the higher the bolt hole size, the higher the von Mises stress of the main landing gear frame. The fatigue life analysis shows that the higher the bolt hole size, the lower the fatigue life of the main landing gear frame. The main landing gear frame fails to achieve a minimum fatigue life of 1 million cycles at a 12 mm bolt hole size.
Land Use Changes Due to Mining Activities in Penajam Paser Utara Regency, East Kalimantan Province
Authors: Dwiyanto Muhammad Refiansyach , Damayanti Astrid , Indra Tito Latif , Dimyati Muhammad 
Published: March 2021

AbstractThere are coal mines in East Kalimantan Province, one of which is in Penajam Paser Utara Regency. The existence of a coal mine, resulting in changes in land use around it. If there is a change in land use that is not following the land potential, it will have an impact on the surrounding environment. The purpose of this study is to identify changes in land use in 2009 - 2019 and analyzethe relationship between the mining area and the area of change in land use. The data required is in the form of land use in 2009 and 2019, obtained based on interpretation using Landsat imagery and verification of existing land uses. The images used are Landsat 5 TM and SPOT 7 MS ORT images. To identify land use changes, the data processing method used is pixel based image classification with the supervised maximum likelihood classification technique. The analysis method used is an overlay. The result of this research is a decrease in the area of water body, forest, non built area, and farm. There is an increase in the area of built-up area and mining area. There is a relationship between mine area and changes in land use.
Design of plant pest spraying machines using solar cell power
Authors: Basuki  , Rosadi Mohammad Munib , Hadi Fajar Satriya 
Published: March 2021

Abstract
Plant pest spraying machines are now starting to develop using a variety of technologies ranging from diesel to electric power. However, this technology has problems such as limited fuel capacity in diesel engines and a lack of electricity demand for electric batteries. If the sprayed area is too large, the capacity for fuel and battery requirements is insufficient. In this study, we will explain how to apply solar cells to make a plant pest spraying machine so that when spraying will occur simultaneously the process of charging or charging the battery by solar power So that the need for battery capacity is met for spraying over a large area. The process of making this tool is done by assembling several components such as solar panels, SCC (solar charge controller), spray tanks and lithium batteries.
Arms Dynamics Classification System for South East Asia Region by Using K-NN Algorithm
Authors: Indra Zul , Setiawan Azhari , Saputra Andhik Beni , Jusman Yessi 
Published: March 2021

Abstract
Machine learning is one of the areas of research that has received great attention in various fields of science. One of the most important applications of machine learning is its ability to perform data analysis. Machine learning plays an important role in finding patterns from data and providing predictions based on existing data. This research aims to apply the concept of machine learning to analyze the arms trade for the Southeast Asia region, which is currently rarely discussed. The research tries to make a prediction system for the arms dynamics based on the political and economic strength of a country. There are three main data sources in this study, namely wordbank.org for the economic strength variable, polity5 for political variable and sipri.org for the arms dynamics variable. The algorithm chosen is the K-NN algorithm which is proven to be one of the best and simplest algorithms in handling data classification. Based on the research that has been carried out, it can be concluded that this study succeeded in developing a data classification system that can be used to predict arms trade with a fairly high degree of accuracy.
Diabetes and Heart Disease Identification System Using Iris on the Healthcare Kiosk
Authors: Kusumaningtyas Entin Martiana , Barakbah Aliridho , Danggriawan S 
Published: March 2021

Abstract
Data reported by World Life Expectancy said, as many as 9.89% of Indonesia’s population died due to suffering from heart disease and as much as 7.18% due to suffering from diabetes. The heart and pancreas are very important organs for the human body. The heart has a function to flow blood to all parts of the body. While the pancreas is the organ responsible for regulating insulin levels. Organs in the human body can also be damaged so that it can inhibit the work process of these organs. Damage to the pancreas causes diabetes. To find out whether a person has diabetes or heart disease, it is necessary to carry out time-consuming and expensive laboratory tests. In this study, we propose an identification system for diabetes and heart disease using irises on Healthcare Kiosk. The method used in detecting diseases of the body through the iris is called iridology. This identification system will be in the form of a desktop application that can be used at Healthcare Kiosk. The stages carried out in this study were photographing the patient’s left eye using a special camera called an Eyeronec, target-based cropping, preprocessing, auto-cropping using integral projection, auto-cropping to remove sclera, taking pancreatic and heart ROI, feature extraction and classification. Auto cropping shows results 60% successful, 33% scant, and 7% failed. The classification process was carried out by training 31 training data that was labeled normal or abnormal by iridology experts. In this study, the system testing accuracy was 83.87% for diabetes and 80.65% for heart disease.
Identification of Challenges, Critical Success Factors, and Best Practices of Scrum Implementation: An Indonesia Telecommunication Company Case Study
Authors: Maulana Feisal Ramadhan , Raharjo Teguh 
Published: March 2021

Abstract
The development of information technology makes companies now compete by increasing their digital capabilities as an added value to the products or services they offer. As a digital telco company in Indonesia, the company involved in this research has begun to transform using an agile approach to compete and continue to lead in today’s digital business. In meeting the fast and dynamic needs of the market, companies are using Scrum as their software development method. However, in its implementation, there are still some obstacles and challenges, including changing the stakeholder mindset from traditional to agile. Software development operational activities are still far from the expected expectations. Thus, causing some jobs to be hampered by the delivery process This paper aims at providing state-of-the-art insightful challenges, critical success factors, and best practices of implementing Scrum in a digital telecommunication company. The company previously using traditional approaches in developing its digital capability. The methods used were interviews and literature studies. It found that the problems experienced by the company included project team aspects, psychological and cultural aspects, processes and methods, and the environment. This paper is expected to provide an overview of recommended solutions for companies in increasing the success of implementing Scrum and as a basis for further studies to analyze the challenges of implementing Scrum.
Antibacterial activity of phytogenic silver nanoparticles using domestic herbs plant extract
Authors: Mahardika Dimas Pradhasumitra , Utomo Feriandri , Desdicha Vabella , Asrul Zafitri 
Published: March 2021

Abstract
Since the development of the first antibiotic medication, penicillin (1928), a range of antibiotic and antimicrobial agents have been produced and used for both human and industrial applications. However, excess and excessive use of antibiotics has led to a major increase in the number of drug-resistant pathogens. There is a strong demand for novel therapeutic approaches to substitute inefficient antibiotics to address rising microbial multidrug resistance. The invention of nanomaterials as modern antimicrobials creates a new model for antibiotic use in diverse areas. Among the numerous nanoparticles, silver nanoparticles have earned a great deal of interest due to their unique antimicrobial properties. Overall, the results highlight that antibacterial resistance activity of silver nanoparticles from domestic herbs plant of Zingiber officinale var. Extract of rubrum (ZO-AgNPs) and Aloe vera L. Extract (AV-AgNPs) are potentially effective in inhibiting the development of Metichillin Resistant Staphylococcus aureus (MRSA) bacteria. In addition, the formation of AgNPs was observed and characterized by UV-visible spectroscopy at peak ranges 353 – 479 nm, with diameters ranging from 10 – 20 d/nm to 70 – 90 d/nm for both Aloe vera and Red Ginger respectively.
Analysis Performance BCRYPT Algorithm to Improve Password Security from Brute Force
Authors: Batubara Toras Pangidoan , Efendi Syahril , Nababan Erna Budhiarti 
Published: March 2021

Abstract
The Bcrypt algorithm is a hashing function created from the Blowfish Algorithm by two computer security researchers, Niels Provos and David Mazieres. This hashing function has several advantages, using the original random salt (the salt is the order in which it is added to the password to make it harder to bruteforce). Random salts also prevent lookup table creation. On this basis, the authors try to do a Brute Force experiment on plaintext that has been encrypted by the Bcrypt Algorithm based on 3 characters, namely alphabetic characters, numeric characters and mixed characters to see the security results of the Bcrypt Algorithm. From the results of tests conducted, the alphabetic character with a total of 4 characters can be returned to the original plaintext within 4 days while if the number of 5 characters cannot be found the original plaintext. Then the numeric characters with a total of 7 characters can be found in the original plaintext within 10 hours. Meanwhile, for mixed characters with a total of 7 characters, the original plaintext cannot be found within 5 days. The results of this study indicate that the security performance of the Bcrypt Algorithm is very good in warding off Brute Force attacks for mixed characters while the numeric and alphabetic characters are not good enough.