bluuebunny/crossref_metadata_2025 huggingface dataset:
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

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

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

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

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

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

Forecasting 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

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

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

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

There 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

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

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

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

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

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

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.
The Experiment of Heat Matter Based on Scientific Inquiry in Senior High School
Authors: Purba Emelia Rosa , Siregar Nurdin , Sinulingga Karya
Published: March 2021

This study aims to determine (1) whether the science process skills of students who are taught with the scientific inquiry model are better than students who are taught using conventional learning, (2) whether the critical thinking skills of students who are taught with the scientific inquiry model are better than in students who are taught with conventional learning. This type of research is a quasi-experiment with two groups pretest-posttest design. Sampling was carried out by means of cluster random sampling by taking two classes from three classes, namely class XI IPA-3 as the experimental class, amounting to 30 people and class XI IPA-1 as the control class, amounting to 31 people. The instruments used were tests and non-tests in which science process skills were in the form of student worksheets and critical thinking skills were in the form of essay questions consisting of 5 validated questions. Hypothesis testing using different test (t-test). Based on the results of the study, it was concluded that: (1) the science process skills of students who were taught with the scientific inquiry model were better than those who were taught using conventional learning, (2) the critical thinking skills of students who were taught with the scientific inquiry model were better than in students who are taught with conventional learning.
Effective cost and high-performance supercapacitor electrodes from Syzygium oleana leave biomass wastes
Authors: Taer Erman , Ridholana Resta Edra , Apriwandi  , Taslim Rika , Agustino
Published: March 2021

Effective cost and high-performance supercapacitor electrodes were prepared using Syzygium oleana leave biomass wastes. Simple one-stage integrated pyrolysis is adopted to get the porous activated carbon monolith without the addition of synthetic materials. The carbon samples were chemically activated by using sodium hydroxide. Four different carbonization temperature of 550 °C, 600 °C, 650 °C, and 700 °C have been evaluated and compared for their electrochemical behavior in supercapacitor cells. The physical characteristics were obtained using dimensions reduction and an X-ray diffraction method. The electrochemical properties of the porous activated carbon monolith were studied using cyclic voltammetry technique. Furthermore, two different aqueous electrolytes were selected to improve the electrochemical behavior of the electrode such as 1 M H2SO4 and 6 M KOH with low scanning rate of 1 mV s−1. The capacitive of symmetric supercapacitor showed high specific capacitance of 153 F g−1. Moreover, the maximum specific energy and specific power were found as high as 21.25 Wh kg−1 and 76.57 kW kg−1 at the voltage window of 0-1.0V. The simple and economically friendly method demonstrated to obtained porous activated carbon monolith derived from Syzygium oleana leaves waste makes them excellent candidates for future electrode materials of energy storage technologies.
Characteristic polynomial and eigenvalues of anti-adjacency matrix of directed unicyclic corona graph
Authors: Hasyyati N , Sugeng K A , Aminah S
Published: March 2021

A directed graph can be represented by several matrix representations, such as the anti-adjacency matrix. This paper discusses the general form of characteristic polynomial and eigenvaluesof the anti-adjacencymatrix of directed unicyclic corona graph. The characteristic polynomial of the anti-adjacency matrix can be found by counting the sum of the determinant of the anti-adjacency matrix of the directed cyclic inducedsubgraphs and the directed acyclic induced subgraphs from the graph. The eigenvalues of the anti-adjacency matrix can be real or complex numbers. We prove that the coefficient of the characteristic polynomial and the eigenvalues of the anti-adjacency matrix of directed unicyclic corona graph can be expressed in the function form that depends on the number of subgraphs contained in thedirected unicyclic corona graphs.
Hub and Spoke allocation to minimize the distance and frequency of transportation with Lower Noise Consideration
Authors: Aurachman R
Published: March 2021

City logistics is a concept that has developed lately. One method that can be applied is the application of Hub and Spoke in the Urban Logistics system. Hubs and spoke are commonly used for logistics systems in general. However, for hub and spoke in urban logistics systems certainly have different considerations. Using the system methodology, this paper proposes a mathematical model of the application of hub and spoke in urban logistics systems by considering several constraints, one of which is the minimization of noise caused by the transportation process.
Common closed neighbourhood prime labeling
Authors: Rinurwati  , Alfiyani A S
Published: March 2021

LetG= (VG,EG) be a connected graph of ordern.A bijectiong:VG→ {1,2,3,…,n} is said to be prime labeling if for each two distinct verticesa,b ∈Vcwhichais adjacent tob, gcd(g(a),g(b))= 1. A graph that satisfies the prime labeling is called a prime graph. Graph G is a neighbourhood prime graphif there is a bijectiong: VG→{1,2,3,…,n}so that for each vertexa £ VGwithdeg(a) >1,gcd{g(b): b £ N(a)} =1. Graphs that have neighbourhood-prime labeling are called neighbourhood prime graphs. In this paper, we introduce a new variant of labelingas a development of prime labeling and neighbourhood prime labeling called common-closed-neighbourhood prime labeling. A bijectiong: VG→ {1,2,3, …,n}is said to be common closed neighbourhood prime labeling if for each two distinct verticesa,b∈VGwhichais adjacent tob, gcd{g(c):c∈N[a,b]} = 1, whereN[a,b] =N[a] ∩N[b]. A common-closed-neighbourhood prime graph is a graph that satisfies the common closed neighborhood prime labeling. Also, we studied an algorithm for some graphs which admits common closed neighbourhood prime labeling.
On the local antimagic labeling of graphs amalgamation
Authors: Kurniawati Elsa Yuli , Agustin Ika Hesti , Dafik  , Marsidi
Published: March 2021

Let G be a simple connected graph, an ordered pair of sets G(V, E), with V is a set of vertices and E is a set of edges. Graph coloring has been one of the most popular branches in topics of graph theory. In 2017 Arumugam et al. developed a new notion of coloring, namely local antimagic coloring of a graph. This concept is a combination of graph labeling and graph coloring. The local antimagic of graphs is one of the colorings of graph theory that is interesting to study. By the definition, the local antimagic coloring is a bijection f : E(G) ƒ> {1, 2, 3,…, |E(G)|} if for any two adjacent vertices u and v, w(u) = w(v), where w(v) = ΣeeE(v) f (e), and E(u) is the set of edges incident to u. Thus any local antimagic labeling induces a proper vertex coloring of G where the vertex v is assigned the color w(v). The local antimagic chromatic number xla(G) is the minimum number of colors taken over all colorings induced by local antimagic labelings of G. In this paper, we will study the local antimagic coloring of amalgamation of graphs.
On the irregular coloring of bipartite graph and tree graph families
Authors: A’yun Q , Dafik  , Adawiyah R , Agustin Ika Hesti , Albirri E R
Published: March 2021

This article discusses irregular coloring. Irregular coloring was first introduced by Mary Radcliffe and Ping Zhang in 2007. The coloring c is called irregular coloring if distinct vertices of G have distinct codes. The color code of a vertex v of G with respect to c is code(v) = (a0, a1, a2,…, a
k) = a0a1a2, …ak, where a0
= c(v) and ai, (1 < i < k) is the number of vertices that are adjacent to v and colored i. The minimum k-color used in irregular coloring is called the irregular chromatic number and is denoted by \ir. Irregular coloring is included in proper coloring, where each vertex that is the neighbors must not be the same color. The graphs used in this article are a family of bipartite graphs and a family of tree graphs, including complete bipartite graphs, crown graphs, star graphs, centipede graphs, and double star graphs.
Comparison Backpropagation (BP) and Learning Vector Quantification (LVQ) on classifying price range of smartphone in market
Authors: Anshori M Y , Rahmalia D , Herlambang T
Published: March 2021

In this time, there are many smartphones sold in market with various price. The price of smartphone depends on some components such as weight, internal storage, memory (RAM), rear camera, front camera and brands. In this research, there are two methods for classifying price range of smartphone in market, i.e. Backpropagation (BP) and Learning Vector Quantization (LVQ). From classifying price range of smartphone in market using BPand LVQ, there are the differences on the both of them. BP classifies price range of smartphone by gradient descent of target and output on its iteration. LVQ classifies price range of smartphone by euclideandistance of weight and data on its iteration. Based on simulations, BP gives better accuracy value with value 88.75 % in training data and 87.5 % in testing datathan LVQ with value 81.25 % in training data and 72.5 % in testing data
The process of student analytical thinking in understanding and applying lattice method to solve mathematical problem
Authors: Annizar A M , Sofiah  , Lestari A C , Dalimarta S , Wulandari Y N
Published: March 2021

One of the educational objectives that is to improve analytical thinking skills. An improvement in analytical thinking skills can be initiated by analyzing the student’s thinking process when faced with a new problem. Meanwhile, the Lattice Method is a method of multiplication which is very rarely taught in the school so that few students know about. Therefore, this research aims to describe the process of analytical thinking students in understanding and applying the Lattice Method to solve mathematical problems. The method used in this research is descriptive with a qualitative approach. The data has collect with tests and interviews. The subject’s determination uses a purposive sampling technique. The results showed that four subjects had interesting thought processes in understanding and applying LatticeMethod that they had never previously studied. S1 is able to understand the LatticeMethod in multiplication by explaining in detail the correct systematic and correlating the problem using the LatticeMethod. S2 is able to understand the problem but still not able to explain properly. S3 is able to understand the problem in its own way with the concept taught earlier. While, S4 is able to understand the problem in its own way without the concept of LatticeMethod.
The development of geometry test to analyze students’ creative thinking skills in the area of square formula derivation
Authors: Aini N R , Susanto S , Yudianto E , Wijaya H T , Cahyanita E
Published: March 2021

Technology advances demand students to adapt creatively in solving problems. This research is development research with the intention of producing a certain product that validity, practicality, and effectiveness be tested, where the development process is described as thorough as possible then evaluated. This development of geometry test used Thiagarajan model or known as 4-D consisting of define, design, develop, disseminate stage. Geometry test that have been developed are used to describe students’ creative thinking skills. This creative thinking is divided into four things that are fluency, flexibility, elaboration, originality. The subjects in this research were 3 students of 32 Junior High School Class consisting of students in visualization, analysis and informal deduction level. Data retrieval in this research was done by using a test and interview. Based on the research result data, three students fulfilled creative thinking skills, among them student was classified as the category of quite creative (TKBK 2), who were fulfilling the indicator of fluency and flexibility, student was classified as the category of less creative (TKBK 1), who were fulfilling the indicator fluency, and student was classified as the category of creative (TKBK 3) so that fulfilling the indicator of fluency, flexibility, originality.
An analysis of the ability to apply student problem solving concepts and algorithms in online and offline learning systems based on realistic mathematical approaches
Authors: Sipayung T N , Simanjuntak S D , Wijaya A , Sugiman
Published: March 2021

In the problem solving requires the ability to apply concepts and algorithms. Problems of particular concern in this regard are math problems related to everyday life. The abilities of each student are different and need to be analyzed. Therefore, a qualitative study with descriptive methods was carried out to determine the students’ problem-solving abilities in applying concepts and algorithms. But in this case, the research subjects were selected randomly and divided into two parts, namely students who applied offline and online learning with 5 discussion groups each. The research subjects were VII students of SMP RK Serdang Murni and SMP HKBP Lubuk Pakam. Based on problem solving on the student worksheet on the material of addition and subtraction of integers based on a realistic mathematics approach, it was obtained data that the ability to apply problem-solving concepts and algorithms in groups of students who applied offline learning tended to be better than the group of students who applied online learning. This was concluded based on results of problem solving carried out by the group of students. Therefore, it is hoped that the ability of teachers to design online learning will be further improved regarding the use of technology so that the results obtained are as good as the implementation of offline learning.
Analysis of cognitive level biology exercise questions in science text books based on TIMSS frame work
Authors: Salsabella S , Juanengsih N
Published: March 2021

In the book, exercise questions are given to discuss the content taught by focusing on these exercise questions. One of the best feature of the book is that it includes many drill materials and assignments. Books are one of the reasons for the variation in the results of Indonesian student achievement. So it is essential to conduct an analytical study of existing textbooks, especially in terms of the implementation of the cognitive level contained in the exercises.This study aimed to describe the cognitive level of biology exercise questions in science textbooks based on TIMSS 2015 frameworks. The method of this research was a descriptive research method with a qualitative approach. This study used two science textbooks with a different publisher, namely book A and book B, which the most used in South Jakarta Junior High School. The instrument used was sheets document analysis. To analyze the questions used indicators in the TIMSS framework as a guide. The result showed that biology exercise questions in book A were contained 54,45% knowing domain, 29,25% applying domain, and 16,3% reasoning domain, while in book B was contained 80,2% knowing domain, 13,43% applying domain, and 6,33% reasoning domain.
The antioxidant activity of roselle and dragon fruit peel functional drink in free radical inhibition
Authors: Suryaningsih S , Muslim B , Djali M
Published: March 2021

This paper investigates the antioxidant of roselle and dragon fruit peel functional drink in free radical inhibition. Roselle free radical inhibition was determined at variations in temperature and heating time of 40, 50, 60°C, and 5, 10, and 15 minutes. For dragon fruit peels 60, 80, 100°C and 5, 15, and 25 minutes. The functional drink formula consists of roselle extract and dragon fruit peel (50%: 50%), 65% sucrose. The inhibition ability of roselle extract and dragon fruit peel and functional drinks were tested using the DPPH (2,2-diphenyl-1- picrylhydrazyl) method. The experimental design was a Complete Randomized Design. All chemical analyses reported as mean. Anova and Duncan (P≤0.05) test.The results showed that the optimum free radical inhibition ability of roselle extract at 60°C for 5 minutes 80.679% and dragon fruit peel at 100°C for 25 minutes 72.588%. The functional drink formula of roselle extract and dragon fruit peel (50%: 50%) could inhibit free radicals by 65.057% with phenols content of 317.59 ppm. The functional drink formula of roselle and dragon fruit peel contains antioxidants that have the ability to inhibit free radicals, which is considered as an alternative to functional drinks that are very beneficial for body health.
Improving students’ higher order mathematical thinking skills in accelerated classes through purdue learning model
Authors: Kadir  , Rukman D F
Published: March 2021

The acceleration program is a positive alternative for intellectually gifted students to obtain relevant education with their potential to develop optimally. The purpose of this study was to improve higher order mathematical thinking skills (HOMTS) in accelerated class students through the Purdue learning model. The research was conducted at one of the state junior high schools in Tangerang Selatanfor the 2016/2017 academic year. The research method was Classroom Action Research (CAR) in two cycles. Data were collected using observation sheets, daily journals, and tests. The results revealed that the application of the Purdue learning model could increase the average HOMTS of 63.75 in the first cycle to 74.25 in the second cycle. The improvement of HOMTS includes aspects of analyzing, evaluating, and creating. Student activities including visual, oral, writing, drawing, motor, mental and emotional also increased in the very good category. In addition, the results of the study also revealed that most students gave positive responses to the Purdue learning model. The conclusion of this study is that the application of the Purdue model in mathematics learning can improve HOMTS, activities, and students’ positive responses.
Semantic networks as mental representation of students in reading images on cell biology
Authors: Juanengsih N , Rahmat A , Wulan A R , Rahman T
Published: March 2021

A semantic network is a network that represents semantic ties between concepts or a network of frames. It is also used as a type of knowledge representation.This study aims to obtain an overview of the student’s mental representation; it’s formed when reading the image on cell biology. Participants in the study were 31 students (age 19-20) of Biology Education in the 2018/2019 academic year who attended a Cell Biology lectureat a university in Jakarta, Indonesia. After attending Cell Biology lectures, student’s mental representation was measuring. The instrument used to measure mental representation is a worksheet, a modified version of the mental representation measurement model with the CNET-Protocol. The images read by students consist of two pictures, namely the transcription initiation complex and the translation initiation complex. The results showed three semantic network patterns describe students’ mental representations, and each student has a different pattern and quality of mental representation. Based on the research findings, biology educators are encouraged to train students to read pictures of biology.
Implication of thinking maps assisted inquiry model for higher order thinking skills (HOTS) on chemistry
Authors: Kharismayuni E , Feronika T , Yunita L
Published: March 2021

The 2013 curriculum emphasizes a learning system that can build students HOTS. The Inquiry Model is known to increase HOTS. Even though it is effective for increasing HOTS, the Inquiry model has shortcomings soThinking Maps are needed. The research objective was to determine the effect of the use Inquiry model assisted by Thinking Maps on HOTS in chemistry. The research method used a Quasi Experiment with a research design of Non equivalentPretest and Posttest Control. The research design group consisted of a control and experimental group. The research sample involved students of class X MIPA 1 and MIPA 2 in high schools at Depok with a total sample of 25 students who were taken using purposive sampling technique. The data were obtained from 25 multiple choice instruments of HOTS. The results of the posttest hypothesis test using the Independent Sample T Test indicate that the Sig. 2-tailed is 0.021 <a (0.05), which means it is accepted. The results of the data obtained were then analyzed. The results showed that there were implications for the Inquiry learning model assisted by Thinking Maps on HOTS in chemistry. The Thinking Maps assisted Inquiry Model can train HOTS on students.
Patients Data Extraction from DDO Files Extension using Rule-based Classification Algorithm
Authors: Alam Nur , Amin Mukhlis , Hazriani  , Yuyun
Published: March 2021

Arrangement patient’s report process of Elim Rantepao hospital is especially complicated because patient data was obtained from FCR Console Prima what saved as DDO file extension as Unicode string. This problem makes understanding and select data manually become difficult. This research tries to give a solution on how to arrange reports easily through application tools developing. This research uses a rule-based classification algorithm to extract Patient Name, Age, ID Number, Date, and time. Applying this algorithm, increase system performance up to 96,6%. This application is very accurate as long as the file DDO has not broken.
Analysing Tourism Application Using Information Technology Governance Trust Model in COVID-19 Pandemic Situation
Authors: Setyadi R
Published: March 2021

At the beginning of 2020, Indonesia was shocked by the COVID-19 pandemic. One of the areas affected by the COVID-19 outbreak is tourism. In the tourism sector, the Indonesian government is closing tourism activities to minimize the transmission of the COVID-19 virus. The tourism sector has been a mainstay of income for tourism village communities and supports its foreign exchange earnings. This study analyzes local government tourism applications using IT governance trust (ITGT)in the COVID-19 pandemic situation. The method used is by distributing questionnaires to application makers and government employees who use tourist applications. Data were analyzed inferentially using quantitative Smart-PLS analysis. The application of multiple regression techniques to analyze questionnaire data on mobile tourism applications’ reliability and validity during the COVID-19 epidemic. This article used descriptive research to respond to the implementation of IT governance (ITG). The statistical results obtained indicate that the quality of information, system quality, and service quality of the tourism mobile application significantly affect user confidence in using tourism applications. Thus, this study contributes to recommendations for using the ITGT model to determine the extent to which tourism applications can prepare themselves to improve their tourism applications during the COVID-19 pandemic. This study provides direct information to practitioners about what to consider in enhancing tourist application features, especially in the COVID-19 pandemic situation, so there is a need for ITG in planning reliable tourism applications during the COVID-19 pandemic.
Students’ Level of Knowledge of Laboratory Equipment and Materials
Authors: Restiana  , Djukri
Published: March 2021

Biology Laboratory is an essential variable in determining the quality of secondary school output. Sufficient laboratory equipment suitable for teaching in secondary schools helps improve students’ skills. Knowing the equipment and materials in the laboratory supports the students in the learning process in the laboratory. This study aims to identify the level of students’ knowledge of laboratory equipment and materials. It used a survey method with a sample of 106 high school students from grade XI in Yogyakarta. The data were collected by testing the students’ level of knowledge of laboratory equipment and materials. Then, the data were analyzed by calculating the average percentage and grouped them into a range of category values. The results showed that the level of students’ knowledge of the laboratory equipment is quite good; the level of students’ knowledge of the function of laboratory equipment is good; and the level of students’ knowledge of the procedure to use the laboratory equipment is good. Moreover, the level of students’ knowledge of the characteristics of laboratory materials is good and the level of students’ knowledge of the group or categorization of the laboratory materials used in practices for certain subjects is poor. The low knowledge of students about laboratory equipment and materials is due to the lack of time allocation for the teacher’s explanation about the laboratory equipment and materials and the practicum guidelines used do not summarize the laboratory equipment and materials. Therefore, further research is expected to develop practicum guidelines that contain detailed information on laboratory equipment and materials.