bluuebunny/crossref_metadata_2025 huggingface dataset:
Passatempos on-line no ensino de Física: um estudo das concepções de estudantes e egressos de um curso de licenciatura
Authors: Mortale Lucas Alexandre , Corrallo Marcio Vinicius , Gomes Emerson Ferreira
Published: May 2020

O artigo traz alguns resultados das concepções sobre o uso de passatempo on-line em apoio ao ensino de física, de estudantes e egressos de um curso de licenciatura em física. Para tal, usou-se uma ampla revisão da literatura para elaboração de questionário em escala Likert. A partir daí, buscou-se os fatores preponderantes para consolidar um construto que explicasse o uso desse recurso tecnológico, com base nas técnicas de Análise Fatorial. Além disso, admitiu-se que as concepções dos indivíduos pesquisados poderiam dar indícios da adoção ou abandono desse recurso, durante a ação profissional do docente. Os resultados dessa análise indicam que a dimensão cognitiva-motivacional é um fator decisivo, pois é um mecanismo de favorecimento do processo de ensino e aprendizagem. Em contrapartida, é apontado pelos respondentes que a adoção de estratégia que envolva recurso tecnológico exige maior esforço do professor, acarretando, portanto, maior carga de trabalho.
VOCATIONAL SCHOOL STUDENTS' MATHEMATICAL CONNECTIONS IN COOPERATIVE LEARNING WITH OPEN ENDED APPROACH
Authors: Gunur Bedilius , Ramda Apolonia Hendrice , Makur Alberta Parinters
Published: May 2020

This study aims to compare the mathematical connection abilities of students who take cooperative learning with the Open-Ended approach with students' mathematical connection skills who follow learning with conventional approaches. This research is a quasi-experimental study with the design of posttest only control group design. The population is all students of class X SMK Aloysius Ruteng with the number of students. Sampling is done using random sampling techniques, with the first class equivalence test. Data on students' mathematical connection abilities were collected using tests and interviews. Test in the form of a description question. Data were analyzed using t-test. The results of the analysis show that thitung = 4.645 and ttable = 1.999 at the level of significance and degrees of freedom dk = n1 + n1 - 2. Because tcount t table H0 is rejected and H1 is accepted which means that students' mathematical connection ability that follows cooperative learning with an open-ended approach is more better than students' mathematical connection skills that follow a conventional learning approach. In students who have a high initial ability to give treatment does not significantly affect the increase in the average value of students' mathematical connection abilities. In students who have the initial ability to be given treatment, it is quite significant in increasing the average value of mathematical connection abilities, while in students who have a low initial ability to give treatment does not affect the increase in the average value of mathematical connection abilities.
THE APPLICATION OF PROBLEM POSING MODEL TO IMPROVE CREATIVE THINKING ABILITY IN ELEMENTARY SCHOOL MATHEMATIC LEARNING
Authors: Larasati Dewi Retno , Wahyudi Wahyudi , Endarini Endang
Published: May 2020

Creative thinking ability is one of competencies that has to be possesed by all people includes elementary school students. Learning process in class doesn’t give any chances yet to all students to achive this competency. It is one of the causes of the low learning outcomes. The study aims to determine and describe creative thinking ability with problem posing model. The model that is used in this study is Kurt Lewin research model, where the process of action research occurs in a contiunous circle, includes the stages of planning, action, observation and reflection. The subject of this study is students from five grade in Salatiga Public Elementary School Tingkir Tengah 2 totaling 29 students. The technique of data collection used test technique and observation. The data were analyzed with comparative descriptive analysis or comparing result form each cycle. The result of this study showed that creative thinking ability increased on cycle I, 6,91% was on ‘very creative’ criteria, 28,27% was on ‘creative’ criteria, 17,24% was on ‘creative enough’ criteria, 13,79% was on ‘less creative’ category and 13,79% was on ‘not creative’ criteria. On cycle II increased, 44.82% was on ‘very creative’ criteria, 37,97% was on ‘creative’ criteria, 13,79% was on ‘creative enough’ criteria, 3,46% was on ‘less craetive’ criteria and no one was on ‘not creative’ criteria. This improvement on creative thinking ability can have a positive impact toward learning outcomes on cycle I which was 55,17% and on cycle II increased the completeness of 86,20%. With this result, it can be concluded that problem posing model could improve students’ creative thinking ability, so the suggestion that could be given is that learning process using problem posing model should be developed and can be made as one of alternative models in learning process
APPLICATION OF FLIPPED CLASSROOM LEARNING MODELS WITH PEER INSTRUCTION FLIPPED TYPE TO IMPROVE THE MATHEMATICAL PROBLEMS SOLVING ABILITY OF PRE-PROSPEROUS STUDENTS
Authors: Ruswana Angra Meta
Published: May 2020

This research was motivated by the low mathematical problem solving abilities. The aims of this research are to examine and describe the differences between pre-prosperous students who used flipped classroom learning models with peer instruction flipped type  and pre-prosperous students who used conventional learning in the improvement of students’ mathematical problem solving abilities. This research was conducted in class XI of SMK Taruna Bangsa, Ciamis. The research used  Quasi-Experiment method by using instrument in the form of mathematical problem solving ability test to obtain the research data. Data analysis was conducted on normalized gain of two sample groups by using the normalized gain difference test. The result showed there were the differences between pre-prosporous students who used flipped classroom learning model with peer instruction flipped type and students who used conventional learning in the improvement of students’ mathematical problem solving abilities
HAVE TEACHERS NEVER BEEN WRONG? CASE STUDIES OF MISCONCEPTIONS IN TEACHING MATHEMATICS IN ELEMENTARY SCHOOLS
Authors: Kusmaryono Imam , Ubaidah Nila , Ulya Nuhyal , Kadarwati Sri
Published: May 2020

Misconceptions of teaching mathematics in elementary schools often occur, not only to students but also experienced by teachers. Elementary school teachers are required to master many subjects where not all learning material (one of them mathematics) can be mastered by the teacher well. An elementary school teacher may be proficient in the field of language, but on the other hand is weak in the field of mathematics. So that it should be suspected, one of the causes of misconception in students is the teacher. Therefore, through a qualitative research approach, the types and causes of misconceptions in mathematics learning in elementary schools will be revealed by teachers. Research data was revealed through questionnaires and interviews.  The findings show that there have been "type misconceptions: pre-conception, undegenneralization, and modeling error" that are stable, permanent and rooted in mathematics teaching in elementary schools
The Effect Of The Implementation Of The 2013 Curriculum On Mathematics Learning Outcomes Of N.1 High School Students STU Jehe Pakpak Bharat Regency From 2015 – 2018
Authors: Aritonang Elsida , Sidabalok Nova Erawati
Published: May 2020

Based on the list of Mathematics grade X grade students from T.P 2015/2016 to T.P 2017/2018, there can be seen many significant and positive changes with an increase in students' mastery learning from 40.87% to 48.72% to 80.85%. In addition to increased learning completeness, the average student learning outcomes in mathematics also increased. There is a change in the involvement of students to discuss and cooperate with fellow friends in terms of solving problems given by the teacher. Changes in the activity of students to take part in learning mathematics. The seriousness of students in participating in learning has also increased. The activeness of students in answering oral questions has also increased. This is indicated by the increasing number of students who give correct answers. the activeness of students in completing homework is increasing. This is indicated by the increasing frequency of students completing homework on time. The activeness of students to appear in front of the class solving problems on the board also increased. Students begin to believe in themselves and have the ability to solve the problems given. Based on observation, the teacher has a problem where the students are very familiar with the conventional way, the teacher explains in front of the class while students listen, Building a conducive classroom atmosphere by involving students to be more active sometimes inviting a commotion in the classroom where students initially play more than learn. Building a sense of responsibility to students also becomes difficult because students' demands actually become reversed because the teacher explains a little subject matter and students are directed to further develop material insights through discussion activities and so on. The application of the 2013 curriculum also requires students to understand the implementation of the value of the knowledge acquired so that a variety of practical activities are needed as a tangible form of the implementation of students' mathematical knowledge
Description Of Quality Learning Mathematics Of Students In Class Viewed From Emotional Intelligence In Class XI Transformation Materials In SMA 2 Majene
Authors: Djadir Djadir , Upu Hamzah , Mahyuddin Hairunnisa
Published: May 2020

Achievement of student learning outcomes and activities in learning is one of the things that can describe or is one of the benchmarks determining the quality of student learning. The emotional intelligence factor can affect the quality of learning. Therefore, the formulation of the problem in this study is how the description of the quality of mathematics learning of students is viewed from emotional intelligence on transformation material in SMA Negeri 2 Majene. The purpose of this study was to determine the description of the quality of mathematics learning of students in the classroom in terms of emotional intelligence on transformation material in SMA Negeri 2 Majene. This research is a type of qualitative research. The quality of student learning referred to in this study is the quality of student outcomes and activities. How to choose a subject that is by giving questionnaires to emotional intelligence to students then choose two students who have high emotional intelligence scores, two students with moderate emotional intelligence scores and two students with low emotional intelligence scores. The data collection method uses a combination of test, questionnaire and interview methods. Learning quality data obtained from quality test results and interviews of subject activities in the classroom. The results showed that the quality of the results of subjects with high emotional intelligence classified in the high and low categories, subjects with moderate emotional intelligence were both classified in the low category and subjects with low emotional intelligence classified in the medium and low categories, while for the quality of the process, the two subjects of emotional intelligence the first high and low emotional intelligence subject understands all indicators, whereas the second moderate emotional intelligence subject and the second low emotional intelligence subject do not meet all indicators
Penggunaan Metode Pembelajaran Peta Konsep Untuk Meningkatkan Hasil Belasar IPS dan Karakter Nasionalis Siswa Kelas IV SD Inpres Semangga 1 Merauke
Authors: Lieung Karlina Wong , Rahayu Dewi Puji
Published: May 2020

The problem that occurs in fourth grade students of SD Inpres Semangga 1, Merauke Regency is the importance of improving social studies and the nationalist character of students. This study aims to improve social studies learning outcomes on the beauty of diversity in my country theme and the nationalist character of fourth grade SD Inpres Semangga 1, Merauke Regencies students. This research is a classroom action research. The study was conducted in three cycles with each cycle consisting of planning, action, observation, and reflection. The studies subjects were the fourth grade students of SD Inpres Semangga 1, Merauke Regency. The data used in this study were students, teachers, and observers. Data analysis uses quantitative and qualitative techniques, including data reduction, data presentation, and drawing conclusions. The results of pretest grade IV students used the concept map method of 41.76, increasing in the first cycle of 72.06, second cycle 76.47, and third cycle 80.59. The nationalist character of the students from the first cycle was categorized by 17.65%, increased in the second cycle by 70.59% and in the third cycle was 94.12%.
Efektivitas Model Problem Based Learning dengan Pendekatan Open Ended Terhadap Kemampuan Pemecahan Masalah Fisika Pada Siswa SMA
Authors: Umamah Chairatul , Andi Herman Jufri
Published: May 2020

This study aims to explain how the effectiveness of Problem Based Learning models with an open ended for physics problem solving abilities of high school students on thermodynamics. This type of research is quasi experimental using nonequivalent control group design. There are two classes in this study, namely the control class with the problem based learning model and experimental class using problem based learning model with open ended approach. The test instrument used was a matter of description. Conclusions are drawn based on the results of data processing and analysis using T-test with SPSS 24.0. the results showed that there was a significant influence on the ability to solve physical problems treated by the problem based learning model with open ended approach by sig 0,032 (α=0,05). Analysis of effect size test results is 0,77 in middle category and N-Gain test results is 0,83 with high category. It can be concluded that Problem Based Learning model with open ended approach is an effective used on students' Problem Solving abilities.
L’Hybridation: une étude sur l’apprentissage de langues étrangères
Authors: Rios Martinez Jhon Fredy , Ramírez Osorio José Fernando
Published: May 2020

This article is the partial result of an investigation carried out with the students of the Degree Program in Modern Languages ​​of the University of Caldas, Colombia. This research was likewise integrated into a second study concerning the Didactics of the Grammar of Foreign Languages. The research arose from the linguistic hybridization that language teachers have perceived in the correction of the written production of students who simultaneously learn several languages. We analyze, in the current investigation, the phenomenon of linguistic transfer through a corpus of authentic texts written by students. This research focuses on two primary objectives: to identify the phenomenon of transfer at the scriptural level and to determine the pedagogical implications of the language loan in the simultaneous learning of several foreign languages.  The methodology is based on an analytical-descriptive approach whose instruments for collecting information were an interview, a survey and a corpus of 50 authentic texts produced by the students. We made a description of the discursive unit and then we carried out a morphosyntactic, semantic and pragmatic analysis of each text. The systematization of the information gathered threw us among the conclusions that the mixture of languages ​​in written production is essentially due to the similarity between them, that is, due to their nature of related languages ​​and the approach used for teaching foreign languages, it facilitates the transfer phenomenon when the learning of several linguistic codes occurs simultaneously.
Un libro electrónico en lengua hñähñu para promover el rescate y la ingesta de alimentos saludables
Authors: Hernández Pérez Yulisa , Guzmán Villa María Guadalupe , Simón Ñonthe Estefana
Published: May 2020

Uno de los problemas que enfrentan los niños de educación primaria pertenecientes a los pueblos originarios hablantes de lenguas indígenas, es la escasez de materiales y recursos educativos que atiendan a sus necesidades formativas, sobre todo, considerando el desplazamiento que enfrenta buena parte de las lenguas y culturas indígenas en nuestro país. En este sentido, es un desafío generar estrategias y recursos para preservar estas lenguas frente a las dominantes y de adaptarse a las nuevas formas de comunicación propiciados por las tecnologías de la información y la comunicación.

Como futura docente y formadora de docentes, hablantes de una lengua indígena, se tiene la responsabilidad de contribuir a preservar esta lengua. El Plan de estudios de educación normal propone adecuar contenidos y materiales de regiones culturales y lingüísticas afines al contexto de los alumnos y en los programas de educación primaria indígena se establece: usar la lengua indígena en otras prácticas sociales del lenguaje, donde generalmente se utiliza el español (SEP, 2017 p. 226).

Para atender a estas orientaciones curriculares y a las necesidades del contexto de una escuela primaria indígena, se elabora un libro electrónico con las herramientas  tecnológicas que ofrecen Storyjumper y PowerPoint y el uso de la lengua hñähñu, variante lingüística Otomí del Valle del Mezquital. Para el contenido se consideró una forma en la que se moldea la cosmovisión en función de la lengua y la cultura propia de una comunidad indígena (Villavicencio y Salgado, 2014) donde se desarrollan prácticas profesionales, por lo que se define como núcleo temático “el maíz”, a partir del cual se pretende promover alimentos saludables.
Cursos Multimodales de Inglés y su Diseño Instruccional
Authors: Huerta Gutiérrez Guillermo , Govela De la Fuente María Graziella Natalia
Published: May 2020

Los Cursos Multimodales de la Universidad Veracruzana surgen de la necesidad de apoyar a los estudiantes de las carreras técnicas con problemas para asistir a clases presenciales o que no contaban con el recurso económico para comprar un libro de texto o material de trabajo. Fueron concebidos como una metodología innovadora de enseñar inglés, combinando ambientes de aprendizaje: el virtual, a través de la plataforma institucional EMINUS de la Universidad Veracruzana, el autónomo, en los Centros de Autoacceso, y el presencial. Lo anterior implicó que los maestros a cargo de la creación de estos cursos orientaran su rol al de diseñadores instruccionales ya que elaboraron los cursos desde la metodología, la definición de contenidos, dosificación, y evaluación de los mismos. En este trabajo describiremos a detalle el modelo instruccional que se siguió para la elaboración de los cursos y lo que esto implicó. Finalmente presentaremos el impacto y las estadísticas que han tenido en las 6 regiones de la Universidad Veracruzana en donde se imparten y el rumbo que están tomando.
Künstliche Intelligenz im Sprachunterricht. Ein Überblick.
Authors: Strasser Thomas
Published: May 2020

Dieser Beitrag gibt einen Überblick zum aktuellen wissenschaftlichen und praxisorientierten Stand von Künstlichen Intelligenzen (KIs) vor allem im Bereich des Sprachenlernens. Nach einer kurzen Einleitung, wie Künstliche Intelligenzen im Sprachunterricht terminologisch verortet sind bzw. was sie vereinfacht für den Sprachunterricht bedeuten, wird auf spezielle schwache KI-Techniken und Mechanismen eingegangen, die das Sprachenlernen unterstützen können. Dabei wird vor allem auf die Rolle der Lehrkraft und die Praktikabilität von KI-gesteuerten Feedbackmechanismen eingegangen. Im Praxisteil wird ein KI-gestütztes Tool auf dessen Praxistauglichkeit im Sprachunterricht unter Rücksichtnahme bestimmter fachdidaktischer Parameter analysiert. Der Beitrag schließt mit einer Conclusio zur Relevanz der Lehrkraft im Diskurs der digital-gestützten Technologien und gibt einen Ausblick zu weiteren Trends im Bereich KI-gestütztes Sprachenlernen.
FLOWER POLLINATION AND GENETIC ALGORITHM BASED OPTIMIZATION FOR NODE DEPLOYMENT IN WIRELESS SENSOR NETWORKS
Authors: Keswani Kapil , Bhaskar Dr. Anand
Published: May 2020

Wireless sensor network (WSN) most popular area of research where lots of work done in this field. Energy efficiency is one of the most focusing areas because life time of network is most common issue. In the WSN, the node placement is very essential part for the proper communication between the sensor nodes and base station (BS). For better communication nodes should be aware about their own or neighbor node’s location. Better optimization of resources and performance improvement are the main concern for the WSN. Optimal techniques should be utilized to place the nodes at the best possible locations for achieving the desired goal. For node placement, flower pollination optimization and genetic algorithm are useful to generate better result. BS is responsible for the communication of nodes with each other and it should be reachable to nodes. For this Region of Interest (RoI) is helpful to choose the best location. Placement of BS in the middle is suitable place for the static nodes deployment and there should be other strategy for the dynamic environment. Nodes should be connected to each other for the transmission of data from the source to BS properly. From the MATLAB simulation, it has been shown that the proposed methodology improves the network performance in terms of dead nodes, energy remaining and various packets sent to BS.
MODELING OF HYBRID MOS FOR THE IMPLEMENTATION OF SWITCHED CAPACITOR FILTER USING SINGLE ELECTRON TRANSISTOR
Authors: Mishra Brijendra , Kushwah Vivek Singh , Sharma Rishi
Published: May 2020

In digital integrated circuit architectures, transistors serve as circuit switches to charge and discharge capacitors to the required logic voltage levels. A transistor is a three terminal semiconductor device used to amplify and switch electronic signals and electrical power. It has been observed that the Scaling down of electronic device sizes has been the fundamental strategy for improving the performance of ultra-large-scale integrated circuits (ULSIs). Metaloxide-semiconductor field-effect transistors (MOSFETs) have been the most prevalent electron devices for ULSI applications. A better device will be formed with the help of new technology, with high operating speed low and power consumption, which can be the future of electronics industry. A methodology for the electric simulation of MOS/SET hybrid circuits will be developed. As a result of this, a functional model for the single-electron transistor will obtain and Implement Switched Capacitor Filter with the help of designed hybrid MOS. The SET model can be easily coded in any hardware description language.
NOVEL POLYMER NANOCOMPOSITES FOR MICROELECTRONICS APPLICATIONS
Authors: Mishra Pankaj Kumar
Published: May 2020

The effect of polarization time on the space charge relaxation behavior of pure and nano ZnO doped PVK samples has been studied. The study has been carried out by thermally stimulated depolarization current patterns of electrets formed by polarization method at 350 volts field strengths at 40◦C to 70◦C with constant heating rates. The results obtained show the shift of the TSD peak position towards lower temperature ranges. Decrease in activation energy was observed corresponding to the increase in polarizing field. The intensity of the peak maxima results in being a good indicator of the trapped carrier number evolution. For high temperatures and high electrical fields the saturation of the phenomenon is achieved faster, which is attributed to facilitated carrier mobility.
HYBRID APPROACH FOR HUMAN FACIAL EXPRESSION DETECTION THROUGH TLBO AND PFEF
Authors: Jain Goya Samta , Upadhyay Dr. Arvind K. , Jadon Dr. R. S. , Goyal Rajeev
Published: May 2020

This paper introduces facial expression detection method which is based on facial’s selected feature and optimized those selected features. The study says that human face generally faced generally consist of skin color, texture shape and size of face in this paper we study skin color and texture of human face .This process consist two steps for the same. In first known as detection of expression which uses PFEF (partial feature extension function) and in second, for optimization we used TLBO algorithm is basically a population base searching technics. Also uses soft computation technics because we cannot actual and accurate for human related activity. Varieties of technic are used for the same purpose this as per use hybrid approach to get better result.
A SPURIOUS-POWER SUPPRESSION TECHNIQUE FOR DSP APPLICATIONS
Authors: Gaikwad M.S. , Shivaji Bari Vishal
Published: May 2020

To assist a solution to the problem of the test environment spanning multiple platforms, this This report presents the arrangement examination and employments of a Spurious-Power Suppression Technique (SPST) which can essentially decrease the power dissipating of combinational VLSI diagrams for intuitive media/DSP purposes. The proposed SPST disengages the target diagrams into two segments, i.e., Most Significant Part (MSP) and the Least Significant Part (LSP), and turns off the MSP when it doesn't impact the estimation results to save control. Also, this paper proposes a one of a kind glitch-decreasing strategy to filter through inconsequential trading power by announcing the data movements after the data transient period. This paper gets adaptable versatile multimedia functional unit (VMFU), to evaluate the proposed SPST. These two arrangement cases have exceptionally phenomenal hardware setups, thusly, the affirmation issues of the SPST on each blueprint in like manner incredibly shift from each other. The VMFU has six routinely used media/DSP limits, specifically, extension, subtraction, increment, MAC, presentation, and aggregate of-add up to qualification.
ANALYSIS OF INJECTION MOLDING PROCESS TO REDUCED DEFECTS (SHORT-SHOT)
Authors: L.D.Mahajan  , P.N.Ulhe
Published: May 2020

This paper deals with optimal injection molding process parameters for minimum short shot. In this study, analyses of injection molding process parameters were carried out to reduced defects and minimize short shots. Optimal injection molding conditions for minimum short shot were determined by the DOE technique of Taguchi and the analysis of variance (ANOVA) methods. For this study CPVC plastic specimen was tested. Determination of the optimal Injection molding process parameters were based on S/N ratios. According to results mold closing speed had significant effect on quality characteristic. Mold pressure and Injection pressure had no significant effect
ANALYSIS OF THE EFFECT OF QUANTITY OF CATALYST AND LAMINATE THICKNESS ON CURING TIME IN PRODUCTION OF GLASS REINFORCED POLYESTER COMPOSITE
Authors: R Chemeli  , Ondieki C.M.
Published: May 2020

Production process of reinforced plastic composite materials involves the curing of a thermosetting resin through an exothermic chemical reaction. Research studies have shown that the exothermic heat released during curing process and whose degree varies with laminate thickness has an effect on curing time. The curing time for the resin dictates the rate of production and quality of product. This study aimed at investigating the effect of laminate thickness and quantity of catalyst on the curing time during the production of glass reinforced polyester composite. This research utilized unsaturated polyester resin, Methyl Ethyl Ketone Peroxide catalyst and E-glass fiber reinforcement for sample preparation. Different amount of catalyst ranging from 0.5% to 5% were dispensed on the polyester resin used in making laminate samples of thicknesses ranging from 1mm to 3mm and hand lay-up technique was used to produce sample panels. Curing time of the samples was determined according to the ASTM standards while data analysis was done using the statistical analysis software. Results showed that curing time reduced with increase in both laminate thickness and quantity of catalyst which could be attributed to heat evolved during polymer cross linking heat that was more pronounced in thicker laminate and higher catalyst levels. Statistical analysis showed that the catalyst level had a significant effect on curing of glass reinforced polyester composites compared with laminate thickness or an interaction between the two. It was concluded that the curing time of glass- reinforced polyester composites depended on the laminate thickness and quantity of catalyst.
FLOOD EARLY WARNING INFORMATION SYSTEM FOR MULTILOCATION BASED ANDROID
Authors: Satria Dedi , Yana Syaifuddin , Munadi Rizal , Syahreza Saumi
Published: May 2020

Development of flood early warning technology has grown rapidly. The technology has led to improvements in terms of communication and information technology. The use of the Internet of Things model (IOTs) has provided significant development to the development of early warning information systems. In this article is the development of a prototype model of flood monitoring information systems using Android has been designed by combining ultrasonic sensors as a water level detector, rain sensor, temperature sensor and moisture sensor. Arduino Uno Microcontroller Module used as sensor data processor, U-Blox Neo 6m GPS module as location detection and Ethernet module as sender of sensor data to station of flood early warning information system. The design of the prototype produces information on flood elevation, rain conditions, ambient temperature and soil moisture along with its location based on Google Maps interface on mobile android.
LL-KNN ACW-NB: Local Learning K-Nearest Neighbor in Absolute Correlation Weighted Naïve Bayes for Numerical Data Classification
Authors: Azis Azminuddin I. S. , Budy Santoso  , Serwin
Published: May 2020

Naïve Bayes (NB) algorithm is still in the top ten of the Data Mining algorithms because of it is simplicity, efficiency, and performance. To handle classification on numerical data, the Gaussian distribution and kernel approach can be applied to NB (GNB and KNB). However, in the process of NB classifying, attributes are considered independent, even though the assumption is not always right in many cases. Absolute Correlation Coefficient can determine correlations between attributes and work on numerical attributes, so that it can be applied for attribute weighting to GNB (ACW-NB). Furthermore, because performance of NB does not increase in large datasets, so ACW-NB can be a classifier in the local learning model, where other classification methods, such as K-Nearest Neighbor (K-NN) which are very well known in local learning can be used to obtain sub-dataset in the ACW-NB training. To reduction of noise/bias, then missing value replacement and data normalization can also be applied. This proposed method is termed "LL-KNN ACW-NB (Local Learning K-Nearest Neighbor in Absolute Correlation Weighted Naïve Bayes)," with the objective to improve the performance of NB (GNB and KNB) in handling classification on numerical data. The results of this study indicate that the LL-KNN ACW-NB is able to improve the performance of NB, with an average accuracy of 91,48%, 1,92% better than GNB and 2,86% better than KNB.
Design and Build a Vehicle Positioning System in Parking Areas Using Bluetooth Technology
Authors: Wibowo Fahrudin Mukti , Fikra Titan Syifa
Published: May 2020

Large parking area and no sign, will make it difficult for vehicle owners to remember and find the location of the parked. Therefore, a guide system becomes one of the important things in a large parking area. The technology that can be utilized in navigation systems is bluetooth technology, which has now called BLE (Bluetooth Low Energy) with a signal reach of 100 meters, data transfer speeds 1 Mbps and low power consumption. The information from a BLE module is the value of RSSI (Received Signal Strength Indicator) which shows the signal strength received. The guide system installed on a smartphone as a receiver and BLE module as a transmitter on the vehicle. The mobile application will convert the RSSI into the distance between smartphone and vehicle, and will be displayed a guide to the vehicle. Based on the trials that have been carried out obtained an average distance error of 0.92 meters, this is due to the ups and downs of the RSSI value received. When the RSSI value received is small, it raises of accuracy. So the distance between BLE and receiver will affect the RSSI value received and affect the position accuracy of the application.
Educational Data Mining for Predicting Student Graduation Using the Naïve Bayes Classifier Algorithm
Authors: Sutoyo Edi , Almaarif Ahmad
Published: May 2020

The quality of students can be seen from the academic achievements, which are evidence of the efforts made by students. Student academic achievement is evaluated at the end of each semester to determine the learning outcomes that have been achieved. If a student cannot meet certain academic criteria that are stated by fulfilling the requirements to continue his studies, the student may have the potential to not graduate on time or even Drop Out (DO). The high number of students who do not graduate on time or DO in higher education institutions can be minimized by detecting students who are at risk in the early stages of education and is supported by making policies that can direct students to complete their education. Also, if the time for completion of student studies can be predicted then the handling of students will be more effective. One technique for making predictions that can be used is data mining techniques. Therefore, in this study, the Naive Bayes Classifier (NBC) algorithm will be used to predict student graduation at Telkom University. The dataset was obtained from the Information Systems Directorate (SISFO), Telkom University which contained 4000 instance data. The results of this study prove that NBC was successfully implemented to predict student graduation. Prediction of the graduation of these students is able to produce an accuracy of 73,725%, precision 0.742, recall 0.736 and F-measure of 0.735.
The Big Data Commodity Management Model for Rice for National Food Policy
Authors: Tosida Eneng Tita , Wihartiko Fajar Delli , Hermadi Irman , Yani Nurhadryani  , Feriadi
Published: May 2020

Rice is the main commodity in Indonesia, both for consumption and production. Rice production data are available at the Badan Pusat Statistika and at Kementrian Pertanian. The data is used to build a large data management model for Indonesia's rice trade. The model development strategy is done through analyzing agriculture big data analytic that is equipped with descriptive analysis, evaluation, predictive and prescriptive. The models and designs that are built discuss business processes, stakeholder networks and network management. Descriptive analysis results in the form of grouping and visualization of rice data. The results of the diagnostic process using classification approach produce a decision tree to see the results of the level of production in a province. In the predictive process produces a linear regression model to predict the results of the following year's production as well as in the analysis.
Implementation of the Perceptron Method for Recognizing the Patterns of Types of Intestinal Nematode Worms
Authors: Erni Rouza  , Jufri  , Luth Fimawahib
Published: May 2020

The purpose of pattern recognition is do the process of classifying an object into one particular class based on the pattern it has, so it can be used to recognize patterns of intestinal nematode worm types. One of the methods used in pattern recognition is by utilizing the artificial neural network method, the artificial neural network is able to represent a complex Input-Output relationship. For that the algorithm used is the perceptron algorithm. Perceptron is one method of Artificial Neural Networks. In the introduction of types of intestinal nematode worms, a computer must be trained in advance using training data and test data, this study discusses how a computer can recognize a pattern of types of intestinal nematode worms using the perceptron method. Based on the results of testing trials with input in the form of worm image scan results, based on the results of the perceptron method testing is able to recognize the pattern recognition of the types of intestinal nematode worms and be able to analyze with the right results of 100% for pinworms patterns, hookworm patterns, and 40- 50% for roundworms, by comparing the output value and the target value entered first.
Penerapan Good Agricultural Practices (GAP) pada Budidaya Paprika Kerucut Mini (Capsicum annuum var. Tribeli) dalam Greenhouse di V.O.F M&W Van Paassen, Belanda
Authors: Oktavianti Fina , Gema Kartika Juang
Published: May 2020

Greenhouse adalah bangunan budidaya tanaman yang digunakan untuk membudidayakan paprika kerucut mini di Belanda. Kegiatan budidaya pertanian yang dilakukan secara terus menerus dapat menyebabkan kerusakan lingkungan jika tidak menerapkan good agricultural practices (GAP). Tujuan umum dari kegiatan magang ini adalah memperoleh pengalaman manajerial pada budidaya tanaman hortikultura dalam greenhouse dan tujuan khusus dari kegiatan magang ini adalah untuk memperoleh informasi mengenai penerapan GAP di V.O.F M&W Van Paassen berdasarkan standar kriteria yang diterbitkan oleh GLOBAL G.A.P. Kegiatan magang ini dilakukan di perusahaan V.O.F M&W Van Paassen mulai tanggal 30 April hingga 28 Juli 2018 di Belanda. Data yang didapat selama magang dianalisis secara deskriptif, kemudian dilakukan skoring. Kegiatan budidaya yang dilakukan oleh perusahaan V.O.F M&W Van Paassen termasuk dalam kategori good agricultural practices, hal ini dapat dilihat dari terpenuhinya kriteria mayor, minor dan rekomendasi yang ditetapkan oleh badan resmi sertifikasi GLOBAL G.A.P. Perusahaan harus memenuhi 100% dari total kriteria mayor dan minimal 95% dari kriteria minor yang ditetapkan untuk dapat dikategorikan sebagai perusahaan yang telah menerapkan good agricultural practices. Kriteria rekomendasi dimaksudkan sebagai solusi untuk langkah yang dapat diambil perusahaan agar lebih baik dalam menerapkan GAP namun tidak mempengaruhi penilaian kriteria.
Teknik Perbanyakan Cepat Bibit Ubi Jalar (Ipomoea batatas L. Lam) dengan Perlakuan Rootone F dan Pupuk Daun
Authors: Aprianto Setiawan Haris , Setiawan Asep , Sri Rahayu Megayani
Published: May 2020

Penelitian ini bertujuan untuk memperoleh informasi mengenai pengaruh dari Rootone F dan pemupukan daun terhadap produksi bibit dengan teknik perbanyakan cepat.Percobaan dilakukan di Kebun Percobaan Cikabayan Bawah, Dramaga, Bogor IPB pada bulan Agustus 2017 sampai Desember 2017.Percobaan disusun secara Split Blok dalam Rancangan Acak Kelompok melibatkan dua faktor perlakuan dan tiga ulangan.Faktor pertama adalah konsentrasi auksinyang terdiri dari empat taraf yaitu, 0 ppm, 150 ppm dan 300 ppm.Faktor kedua adalah frekuensi aplikasi pupuk daun yang terdiri dari empat taraf yaitu, tanpa pupuk, 1 kali/ minggu, 1 kali/ 2 minggu dan 1 kali/ 3 minggu.Hasil penelitian menunjukkan bahwa terdapat interaksi antara konsentrasi Rootone F dan frekuensi pemberian pupuk terhadap panjang cabang primer, jumlah daun cabang primer dan jumlah bibit cabang primer.Frekuensi pemberian pupuk berpengaruh nyata terhadap variabel pengamatan.Pemberian pupuk daun meningkatkan jumlah buku. Teknik perbanyakan cepat ubi jalar menghasilkan multiplikasi rasio 1:3 bibit ukuran 15 cm dalam waktu dua bulan.
Mutu Petik Teh (Camellia sinensis (L.) O. Kuntze) di Kebun Bedakah, Wonosobo, Jawa Tengah
Authors: Dewi Synthia , Purwono .
Published: May 2020

Penelitian ini bertujuan untuk mengetahui mutu petik tanaman teh yang dilaksanakan di kebun. Kegiatan penelitian ini dilaksanakan selama 4 bulan mulai dari bulan Januari sampai Juni 2018 di Kebun Bedakah, Wonosobo, Jawa Tengah. Pengamatan terhadap objek kegiatan kebun juga harus dilakukan terutama pada aspek pemetikan dan produksi. Analisis petik pada bulan Mei 2018 dengan komposisi pucuk medium sebesar 23.83% belum memenuhi standar yang ditetapkan yaitu 50%. Analisis pucuk pada bulan April sudah memenuhi syarat pengolahan dilihat dari rata-rata yaitu 51.44%. Analisis pucuk pada bulan Januari-April 2018 dengan rata-rata sebesar 48.78% pucuk memenuhi syarat pengolahan (MS) belum memenuhi standar yaitu 50%.
Pengelolaan Pemangkasan Tanaman Kopi Arabika (Coffea arabica L.) di Kebun Kalisat Jampit, PT Perkebunan Nusantara XII (Persero), Bondowoso, Jawa Timur
Authors: Khayati Nur , Wachjar Ade , Sudarsono .
Published: May 2020

Kegiatan penelitian ini bertujuan menganalisis dan mengidentifikasi permasalahan yang dihadapidalam kegiatan pemangkasan kopi. Selain itu, melatih keterampilan kerja dan menambah pengetahuan terkaitbudidaya kopi. Kegiatan penelitian telah dilaksanakan di Kebun Kalisat Jampit, PT Perkebunan NusantaraXII (Persero), Bondowoso, Jawa Timur pada bulan Januari sampai bulan Mei 2019. Kopi merupakan salahsatu komoditas perkebunan yang memegang peranan penting dalam perekonomian Indonesia. Salah satuteknik budidaya tanaman kopi yang penting adalah pemangkasan. Pengamatan dilakukan pada aspekpemangkasan yang meliputi tinggi tanaman, komposisi cabang, dan pertumbuhan tunas. Sampel tanamandiambil dari 5 blok kebun dan terdiri atas 3 tanaman per blok. Data sekunder diperoleh dari laporanmanajemen perusahaan. Analisis data yang dilakukan secara deskriptif, rata-rata, dan persentase.Pemangkasan tanaman kopi yang dilakukan di Kebun Kalisat Jampit termasuk pemangkasanpemeliharaan/produksi. Komposisi cabang produktif yang merata (±33%) akan berpengaruh terhadap hasiltaksasi produksi. Jumlah cabang yang dipangkas merupakan cabang yang sudah tua, terserang penyakit, danproduksinya sudah menurun. Cabang yang sudah dipangkas akan menumbuhkan tunas-tunas produktif yangbaru. Pelaksanaan pemangkasan di Afdeling Kampung Baru sudah sesuai dengan standar kebun dilihat daritinggi tanaman kopi yang tidak lebih dari 160 cm.
Editorial dan Kelengkapan Jurnal
Authors: Rafi Mohamad
Published: May 2020

Puji dan syukur kami ucapkan kepada Tuhan Yang Maha Esa dengan terbitnya Jurnal Jamu Indonesia Volume 1 No 3 oleh Pusat Studi Biofarmaka Tropika IPB sebagai media diseminasi penelitian terkait jamu Indonesia. Jurnal ini diharapkan dapat menambah informasi menyeluruh tentang jamu dari kegiatan hulu hingga hilirnya.

Jamu merupakan warisan budaya Indonesia dan telah digunakan sejak berabad-abad yang lalu. Jamu merupakan istilah lain dari obat herbal yang terbuat dari tumbuhan obat segar atau kering di Indonesia untuk kesehatan dan kecantikan. Penggunaannya saat ini menunjukkan kecenderungan yang semakin meningkat dan tren ini juga tampak dalam skala global. Seiring dengan banyaknya penelitian mengenai Jamu, hasil kajian yang diperoleh akan memerlukan wadah diseminasi agar dapat diakses oleh pihak yang memerlukan.

Jurnal Jamu Indonesia dapat menjadi fasilitas bagi para peneliti dan ilmuwan untuk memudahkan pendistribusian informasi ilmu pengetahuan mengenai jamu melalui tulisan-tulisan yang dapat dipublikasi. Semua hasil karya tersebut akan diarsipkan sebagai dokumentasi berharga demi terjaganya informasi yang dapat menjadi sumber pengembangan ilmu pengetahuan di masa depan. Jurnal Jamu Indonesia Volume 1 No 3 ini berisi tentang penelitian mengenai aromaterapi minyak kayu putih, aspek budidaya keladi tikus, jejaring farmakologi dalam memprediksi senyawa bioaktif dan kajian antibakteri ekstrak daun Lasianthus.

Mohamad Rafi

Ketua Dewan Redaksi
Prediksi Senyawa Aktif Pada Tanaman Obat Berdasarkan Kemiripan Struktur Kimiawi untuk Penyakit Diabetes Tipe II
Authors: Bakri Rizal , Wijayanto Hari , Mochamad Afendi Farit
Published: May 2020

Diabetes melitus merupakan penyakit metabolik yang dicirikan oleh tingginya kadar glukosa dalam darah. Di Indonesia jumlah penderita diabetes menempati urutan keempat di dunia setelah Amerika Serikat, India, dan Cina dengan jumlah penderita mencapai lebih dari 12 juta jiwa. Salah satu upaya yang dilakukan untuk mengatasi diabetes adalah mengkonsumsi obat herbal berupa jamu sebagai alternatif obat sintetik. Pusat Studi Biofarmaka Bogor sedang mengembangkan ramuan jamu untuk penyakit Diabetes Melitus Tipe II yang terdiri dari empat tanaman obat yaitu pare (Momordica charantia), sembung (Blumea balsamifera), bratawali (Tinospora crispa), dan jahe (Zingiber officinale). Kandungan senyawa keempat tanaman diduga memiliki aktivitas biologis yang mirip dengan senyawa sintetik. Pada prinsipnya, diasumsikan bahwa senyawa yang struktur kimiawinya mirip memiliki sifat biologis yang mirip. Kemiripan senyawa diukur menggunakan koefisien Modifikasi Tanimoto dengan sidik jari molekuler KR. Hasil penelitian menunjukkan bahwa tanaman Bratawali merupakan tanaman utama pada ramuan jamu untuk penyakit diabetes berdasarkan jumlah kandungan senyawa yang dominan mirip dengan senyawa sintetik yaitu senyawa N-trans-feruloyltyramine (B015) dan N-formylanonaine (B018). Selanjutnya, Senyawa-senyawa yang memiliki nilai kemiripan tinggi dengan senyawa sintetik diperoleh pula pada senyawa karaviloside I (P195) dari tanaman pare, senyawa xanthoxylin (S002) dari tanaman sembung, senyawa borneol (J207) dan (-)- isoborneol (J226) dari tanaman Jahe.
Potensi Antibakteri Ekstrak Daun Lasianthus Terhadap Bakteri Pseudomonas aeruginosa
Authors: Purwantoro R. Subekti , Siregar Hartutiningsih-M. , Sudarmono Sudarmono , Agusta Andria
Published: May 2020

Penelitian ini bertujuan untuk mengetahui sifat antibiotik dari ekstrak tumbuhan Lasianthus terhadap aktivitas bakteri Pseudomonas aeruginosa secara in-vitro. Ekstrak yang diuji adalah daun Lasianthus laevigatus, L. furcatus, dan L. obscurus. Ekstraksi tumbuhan dilakukan secara maserasi bertingkat dengan menggunakan ekstrak n-heksana, etil asetat, dan metanol. Potensi eskstrak sebagai antibakteri diuji melalui penghambatan aktivitas bakteri P. aeruginosa dengan menggunakan metode kertas cakram pada media agar Mueller-Hinton. Hasil penelitian menunjukkan bahwa ekstrak metanol pada daun L. furcatus memperlihatkan daya hambat tertinggi dengan zona hambat 12 mm (konsentrasi 50 μg), 19.5 mm (konsentrasi 100 μg), dan 20 mm (konsentrasi 200 μg), diikuti oleh L. obscurus dengan zona hambat 11 mm (konsentrasi 50 μg), 13 mm (konsentrasi 100 μg), dan 18.5 mm (konsentrasi 200 μg), sedangkan penggunaan ekstrak n-heksana dan etil asetat daya hambatnya rendah di bawah 10 mm, terkecuali ekstrak n-heksana pada daun L. obscurus daya hambat tinggi dengan zona hambat 11 mm (konsentrasi 50 μg).
Importancia del Autoconcepto para la Construcción del Conocimiento
Authors: Quintero Gutiérrez Karen Tatiana
Published: May 2020

A través del presente ensayo, se pretende estudiar la importancia del autoconcepto para la construcción del conocimiento, fundamentado en autores como Markus (1977); González y Tourón (1992); Fernández y Goñi (2008); Pérez y Quintero (2016), describiendo desde lo más complejo de la sociedad actual cómo el individuo es capaz de autorreconocerse y definirse para poder seleccionar las estrategias cognitivas y metacognitivas necesarias y adecuadas para desarrollar una actividad educativa de calidad, por ende se sustenta en la línea de investigación Proceso Cognitivos en Educación Infantil: Concepciones Teórico-Metodológicas para su abordaje en niños y docentes de la Universidad Pedagógica Experimental Libertador (UPEL), centrada en el análisis sistemático de los procesos de pensamiento que ocurren en la construcción del conocimiento como: atención, percepción, concentración, memoria, análisis, síntesis, elaboración de conceptos, entre otros.