Data Retrieval Method Research Articles

Pengembangan Media Android Augmented Reality Smart Card (AARSC) Untuk Meningkatkan Keterampilan Berpikir Kreatif Dan Hasil Belajar IPS Peserta Didik Sekolah Dasar

This study aims to describe the validity, practicality, and effectiveness of Android Augmented Reality Smart Card (AARSC) Media in improving creative thinking skills and learning outcomes of fourth grade elementary school students. The methods used are Research and Development and ADDIE model Analysis (Analysis), Design (Design), Development (Development), Implemetation (implementation), and Evaluation (evaluation). The method of data retrieval is done by validation, observation, test, and questionnaire. The results showed that the validity of AARSC media obtained a percentage of validity of 86% (very valid). The practicality of AARSC media in terms of learning implementation obtained 91.42% (very good) and in terms of student responses obtained 87% (very practical). The effectiveness of AARSC media obtained from (1) cognitive, namely paired t-test get the result that there is a significant difference between the average results of understanding of learners and n-gain increased 0.63 medium criteria; (2) during the learning conducted in 2 (two) meetings, the attitude of the learners has increased; (3) creative thinking skills get very effective results, namely 81%. The results have been obtained, it can be concluded that the developed media is said to be very feasible as a learning medium

Status of experimental photonuclear results

Absolute majority of data on photonuclear reaction cross sections was obtained in experiments using bremsstrahlung and quasimonoenergetic photons produced at annihilation in flight of relativistic positrons. There are significant disagreements both in absolute value and shape between the results of experiments of both types. So, the pronounced structural features are clearly observed in the cross sections obtained using bremsstrahlung but those are practically absent in the cross sections obtained on the beams of annihilation photons. The disagreements in absolute values are definitely systematic: they are directly dependent on the data retrieval method and significantly exceed the statistical errors achieved in experiments. There are also the significant disagreements between the data obtained in experiments of the same type. In combined systematic investigations of many data on various photonuclear (primarily, photoneutron) reaction, both total and partial, cross sections the possible reasons for disagreements between the results of photonuclear experiments were found out, the status of those experiments and methods of accounting and elimination of observed disagreements are discussed.

Penentuan Lokasi PLTU Ditinjau dari Aspek Fisik dan Geografis Pada PLTU PT Bosowa Energi

Choosing the correct and strategic location can make a big profit for the factory. Conversely, the factory can retain if the factory's site selection is strategic. The purpose of this study is To determine the factors in determining the location of the construction of PLTU PT. Bosowa Energy and know the climate parameter of PLTU PT. Bosowa Energy. The stages and methods of research conducted consisted of four steps: the process of research stages, methods of data retrieval, data processing and locations of data analysis, and the set of report generation. The data taken are primary and secondary; after the data is collected, data are analyzed to determine the factors determining PLTU PT location. Bosowa Energy. PLTU PT. Bosowa Energy in Bangkala Subdistrict Kabupate Jeneponto South Sulawesi Province This location has a climate among other air temperature areas ranging between 18,20 - 27,00 ̊C, rainfall area is quite wet, speed and direction of angina average ranged from 2 until 3 knots, Relative air humidity average 64.8 - 83.5%. The conclusions of this journal are the factors in determining the location of the balance of network, industrial areas, and water areas and climate parameters of rainfall, temperature, humidity, and wind speed.

Family Support in Telenursing to Undergo Palliative Care for Cancer Patients

This study aims to provide an overview of the support of telenursing methods carried out by families undergoing palliative care programs for cancer patients. This research method uses a qualitative design with a phenomenological approach model. Data collection techniques were conducted through in-depth interviews with six participants. Snowball sampling data retrieval method. Data analysis techniques using the Colaizzi method. The results of this study show that when undergoing a palliative care program, support using the telenursing method is a practical and easy-to-use application and the services provided are consuming. This support makes it easier for families to carry out care, in addition to saving costs, Juda can save time, so that families can use their time to do daily work. This study concludes that families and patients must be given socialization about mastering applications and online consultations so that they are able and willing to use these online methods.

An Algorithm to Retrieve Precipitable Water Vapor from Sentinel-2 Data

As one of the most important greenhouse gases, water vapor plays a vital role in various weather and climate processes. In recent years, a near-infrared ratio technique based on satellite images has become a research hotspot in the field of precipitable water vapor (PWV) monitoring. This study proposes a Level 2A PWV data retrieval method based on Sentinel-2 images (S2-L2A), which considers land-cover types and is more suitable for local areas. The radiative transfer model MODTRAN 5 is used to simulate the atmospheric radiative transfer process and obtain lookup tables (LUTs) for PWV retrieval. The spatial distribution of S2-L2A PWV is validated using Global Positioning System (GPS), Terra-MODIS PWV product (MOD05), and Level 2A product provided by ESA (ESA-L2A), while the time series results are evaluated using MOD05. Results show that the PWV retrieved by S2-L2A is both highly correlated and has low bias with the three PWV products, and is closer to the reference data than the MOD05 and ESA-L2A PWV. The relative PWV value in the morning is: bare soil > vegetation-covered area > construction land; as the elevation increases, the PWV value decreases. This study also analyzes the error distribution of the PWV data retrieved by S2-L2A, and finds that inversion error increases with AOT value, but decreases with elevation and normalized difference vegetation index (NDVI). Compared with the three water vapor products, the PWV data retrieved by the proposed method has high accuracy and can provide large-scale and high-spatial-resolution PWV data for many research fields, such as agriculture and meteorology.

Kajian Fonetik Bunyi Vokal Tunggal Bahasa Mandarin

This study aimed at describing the characteristics and differences in the Mandarin vowel sounds. This study involved a Chinese lecturer and two students of Mandarin Language Education FKIP Untan as research samples. The research data was in forms of Mandarin vocabulary which contains a single vowel. The PRAAT application was used to calculate the time, frequency, and intensity of the research object when uttering single vowel words. This study used experimental phonetics as a research method and presented the data in forms of tables and spectrogram images. The data retrieval method is through the PRAAT program with audio files (MP3). The study results show that pronunciation of a single vowel sound /o/ with the longest duration value from students and native speakers. The highest pitch value for native speakers is 315 Hz in single vowel /i/ and the highest pitch value for students when pronouncing words with single vowel /o/, with a voice frequency of 279.5 Hz. The highest native intensity value is for single vowel /ε/ with a value of 79.92 dB, single vowel /o/ is 79.96 dB for student speakers. The influence of tone errors is one factor that affects the resulting duration, pitch, and intensity values.

The Effect of Burpees and Bicep Curl Exercises to Improve Smash Skills in Volleyball Games

The purpose of the study was To find out the effect of burpees exercises and biceps curl exercises on smash skills. The next goal is to find out which exercise is better between burpees and biceps curl against smash skills. The method used in this study is an experimental method. The subjects in this study were 30 players of the Selorejo Village BBI volleyball team. The data retrieval method used uses a smash test, which aims to measure the accuracy of directing the ball in the smash. This study used two research groups, namely burpees and biceps curl. Based on the results of data analysis using the t-test and getting results: There is an influence of burpees and biceps curl training methods on smash skills. This statement is reinforced by the results of the t-test burpees having a t-test value of 49.33, t-table at a significance level of 5% and d.b. (freedom rate) 14 is 2.145. Biceps curl has a t-test value of 18.04, t-table at a significance level of 5%, d.b. (degree of freedom) 14 is 2.145. There was a significant difference between the program latihan burpees and biceps curl to smash skills -0.479 < 2.145.

Analysis of Almond Milk Quality at ABC SMEs Yogyakarta

Milk is a secretion from mammals that has a function as a source of nutrition. The presence of lactose in milk causes some to be deprived of milk because of lactose allergies. Dairy product for those who are allergic to milk is to consume vegetable milk, such as almond milk. The almond milk produced by Micro Small and Medium Enterprises (MSME) ABC is raw almond milk, which have short shelf life. Quality analysis is a step made to achieve and maintain the desired standards of taste, odour, color and texture. This study contribution to investigate the quality of almond milk after five days of storage. In MSME ABC, quality analysis is done by sensory test and compared with the quality standards set by MSME ABC. The quality of the almond milk analysis takes five days, with three different batches. Data retrieval methods conducted with secondary and primary data. After analysis, obtained data of almond milk on day 5 of storage was devalued. The conclusion of the observations made is that almond milk changes in flavor, color, scent and texture parameters after 5 days of storage.

The Effectiveness Analysis of Frontage Road on Jalan Margonda Raya, Depok

Highways are the central infrastructure that supports land transportation. Therefore, the highway strongly supports various activities and human needs in land mobilization so that it can achieve its goals both in economic and non-economic terms. In particular, on some highways, there is a system that divides the road into two special lanes: the frontage road and the fast lane. This study aimed to assess the effectiveness of the frontage road on Jalan Margonda Raya, Depok. The data retrieval method is to survey directly and retrieve data through CCTV during peak hours on the road. From the results of this study, the average speed of a motorcycle is 26.625 km / h, which is below the standard free current speed based on the 1997 MKJI of 32.64 km / h, while the average speed of light vehicles (angkot) is 9.9375 km / h, which is below the standard free current speed based on MKJI 1997 which is 41.48 km / h and also obtained a saturation degree value of 1.1105 which means that the frontage road on Jalan Margonda Raya has a Level of Service F value. Therefore, it can be concluded that the frontage road on Jalan Margonda Raya has conditions of forced current, low speed, volume above capacity, and long lines (traffic jams).

An In-Memory Data-Cube Aware Distributed Data Discovery Across Clouds for Remote Sensing Big Data

With the booming of high-resolution Earth observation and Open-Data efforts, petabyte-scale Earth observation data have been available for free access. Due to the unprecedented availability of big data deluge, regional to global spatio-temporal analysis has been significantly challenged with the huge computational barriers, the tedious cycles of “download-preprocess-store-analyze” leading to excessive data downloading overhead, and the acquisition-oriented 2D file-based structure which is not fit for spatio-temporal analysis. The Earth Observation Data Cube (EODC) paradigm revolutionizes the traditional way of storing, managing, and analyzing spatio-temporal RS data, and solves problems of easy-to-use of RS data to a certain extent. However, different EODC solutions are becoming “Information Silos”. Therefore, the sharing and joint use of remote sensing (RS) data across EODCs have become extremely challenging. To address the above challenges, we proposed a method of in-memory distributed data cube auto-discovery and retrieval across Clouds. We construct a distributed in-memory data orchestration across Clouds to shield the heterogeneity of the EODC storage solutions, solving “Information Silos” problems. And we put forward a Larger-sites-first and Spatio-temporal Aware RS data discovery strategy, which can automatically discover data across Clouds for requirements. Based on the data cube paradigm, this paper proposes a Quality-first data filtering strategy, which can help users to filter out high-quality data covering the target spatio-temporal range from the huge amount of data, and solve the problem of data cube joint retrieval and efficient use across Clouds. In addition, we have confirmed that our method is effective and efficient through comparative experiments.

Research on mass data storage and retrieval method of relational database based on KID cognitive model

Research on mass data storage and retrieval method of relational database based on KID cognitive model

Earth Observation Satellite: Big Data Retrieval Method with Fuzzy Expression of Geophysical Parameters and Spatial Features

Earth Observation Satellite: Big Data Retrieval Method with Fuzzy Expression of Geophysical Parameters and Spatial Features

Optimizing Big Data Retrieval and Job Scheduling Using Deep Learning Approaches

Big data analytics in business intelligence do not provide effective data retrieval methods and job scheduling that will cause execution inefficiency and low system throughput. This paper aims to enhance the capability of data retrieval and job scheduling to speed up the operation of big data analytics to overcome inefficiency and low throughput problems. First, integrating stacked sparse autoencoder and Elasticsearch indexing explored fast data searching and distributed indexing, which reduces the search scope of the database and dramatically speeds up data searching. Next, exploiting a deep neural network to predict the approximate execution time of a job gives prioritized job scheduling based on the shortest job first, which reduces the average waiting time of job execution. As a result, the proposed data retrieval approach outperforms the previous method using a deep autoencoder and Solr indexing, significantly improving the speed of data retrieval up to 53% and increasing system throughput by 53%. On the other hand, the proposed job scheduling algorithm defeats both first-in-first-out and memory-sensitive heterogeneous early finish time scheduling algorithms, effectively shortening the average waiting time up to 5% and average weighted turnaround time by 19%, respectively.

Student learning discipline: Problem and solution in online learning

Learning activities to develop students' character learning discipline at the junior high school level has given rise to difficulties for teachers and students. The paper aims to describe the form of student learning discipline behavior and analyze the role of teachers and principals during the learning process. The article is based on data collected from the results of the spread of open questionnaires to 30 students in three schools in East Java province. In addition, the research data was also obtained through interviews with 12 teachers and two principals. The results showed that principals and teachers have a significant role in determining the success of online learning. The principal's role in making flexible policies has been a determinant of the success of online learning. Likewise, the positive attitude of teachers towards students has contributed to the successful development of student learning disciplines. The paper suggests the need for more in-depth data retrieval methods to understand cases better.

Identification Of Misconceptions Of Eighth Grade Students On Light Materials And Optical Devices

This study is a descriptive study that aims to analyze the understanding of the concept of students in science subjects on the material of light and optical devices as well as the causes of student misconceptions. This study was conducted on VIII grade students in SMP Negeri 5 Palembang. The subjects of this study were 100 eighth grade students in SMP Negeri 5 Palembang. The instrument used is a set of diagnostic tests consisting of 10 items of questions from physpot which has been translated and tested for validity. Data retrieval method is done by providing a test of understanding the concept of multiple choice questions as many as 10 items equipped with CRI (Certainty if Response Index) with a scale (0-5). In this study it was found that the average score obtained by students from the test is quite low at 50%. In addition, 9.28% had misconceptions, 38.5% did not understand the concept, and 28.5% had understood the concept. Some of the findings identified misconceptions include: (1) only white objects that can reflect light in a dark room, (2) points near the eyes of patients with hypermetropy, (3). light propagates about transparent objects and (4). light reflected from smooth surfaces.
 

PENGARUH PEMBERIAN REWARD DAN PUNISHMENT YANG DIPERKUAT DENGAN AYAT-AYAT AL QUR’AN TERHADAP MOTIVASI BELAJAR SISWA

The purpose of research at SDN 2 tukmudal is to analyze the application of reward and punishment methods whether to affect the student's study of class V at SDN 2 tukmudal. the type of research used is quantitative survey research. The data retrieval method used in this study was a questionnaire (questionnaire) with a Likert scale instrument. While the sample technique used in this study is non-probability, which means sampling techniques that do not give equal opportunity or opportunity for each element or member of the population to be selected as a sample. The researcher took a sample at SDN 2 Tukmudal which amounted to 47 students. Based on the results of the study, it could be concluded that there was a significant impact by administering reward and punishment for the study of students at the lower level of 23.5% tukmudal and 76, 5% was affected by other factors. This is also reinforced by the verses of the Qur'an.
 Keyword : Reward, Punishment dan Motivasi Belajar

Koherensi pada Video Blog Berbahasa Jepang

The aim of this research is to describe the elements of coherence in the discourse of Japanese video blog. The data of this research is taken from a video blog entitled ‘[Chōkai | Nihongo Kaiwa] Daigaku No Tomodachi to Hanasu Toki <Nihongo Joukyuushamuke>’ uploaded to YouTube on January 22, 2020. The data retrieval method used the referral method, using the tapping technique as its advanced technique. Furthermore, in the data analysis phase, using the ‘Agih’ method with the direct element sharing techniques. Then in presenting the data, using informal presentation methods.The results showed that there were 5 coherence data that showed interconnected discourse, seen from the use of cohesion markers. That way, the five datas can represent discourse coherence.

Evaluasi Penggunaan Obat dan Kesesuaian Dosis Kemoterapi Body Surface Area (BSA) Pasien Kanker Payudara di RSUD Sekayu

Research has been conducted on the description of the use of chemotherapy drugs and evaluation of the suitability of doses with the method of body surfeace area (BSA) in breast cancer patients (ca.mamae) at the Sekayu Regional General Hospital. The purpose of this study is to find out an overview of the use of drugs and doses given in chemotherapy patients. This research is descriptive with retrospective data retrieval method where data is obtained from the medical records of patients diagnosed with breast cancer in the period January-December 2019. Data retrieval technique in the form of total sampling, obtained 18 samples according to inclusion criteria.The results of the study obtained is on the use of chemotherapy drugs all patients get fac drug regimen as many as 18 patients (100%) and evaluation of dose conformity calculation obtained by 17 patients (94.44%) obtained an inappropriate dose and 1 patient (5,56%) get the appropriate dosage. From the results of the study obtained that the chemotherapy drug used is a first-line chemotherapy drug is in accordance with the treatment guidelines and the dose used has not been in accordance with the calculation based on the body surface area (BSA).

HUBUNGAN ANTARA TIPE KEPRIBADIAN EKSTROVERT DENGAN KECENDERUNGAN CYBERBULLYING PADA REMAJA AWAL PENGGUNA MEDIA SOSIAL INSTAGRAM

This research is conducted by teenagers who do cyberbullying, with the aim to know the relationship between personality type with cyberbullying tendency. This research was conducted at SMP Untag Surabaya with 118 subjects with early teens characteristic which have age range about 12-15 years old, have Instagram account and live in Surabaya city. Methods of data retrieval using the scale of Extrovert Personality Type and Cyberbullying Tendency. Both scales were prepared by researchers with Likert model. The technique used in this research is Nonparametric Statistics in the form of correlation. Based on calculation SPSS version 20.0 obtained result (r = - 0,059) with significance value (p = 0,524). Since the level of significance gained is greater than 0.05 (p <0.05), it means that there is no equivalent to variable cyberbullying tendency, there is no positive relationship between extrovert personality type and cyberbullying tendency.

Basketball Object Extraction Method Based on Image Segmentation Algorithm

Finding your favorite videos from massive sports video data has become a big demand for users, accurate sports videos can better help people learn sports content, and the traditional data management and retrieval methods using text identifiers are difficult to meet the needs of users, so the research on the extraction of sports objects in sports videos is of great significance. This paper mainly studies and proposes the basketball object extraction method based on image segmentation algorithm and can accurately analyze the trajectory of the basketball target. By modeling the video frame of basketball game, the basketball object is selected for segmentation and extraction. The extracted basketball object can be used for tracking the target in the basketball video clip retrieval system. At the same time, the segmentation and extraction of the basketball object are also the core part in the basketball video clip retrieval framework. Combined with the characteristics of basketball video images in the database, the algorithm extracts the image block variance and contrast to form the training feature vector, and the correct segmentation rate on the database is higher than 95.2%. The results show that this method has a good effect on the segmentation and extraction of basketball objects in basketball videos.