Reviewerly/exHarmony huggingface dataset:
Cluster Evaluation Weighing Intercomparison Data with Self Organizing Maps Algorithm

Laboratory intercomparison is one of method to determine the ability and assess the performance of a laboratory. Laboratory performance can be seen from the evaluation of the En ratio’s value, which is a comparison between the difference in the value test of the participant's laboratory with reference’s laboratory and the difference in the square root of the uncertainty value form participant's laboratory and reference’s laboratory. The laboratory is declared equivalent if the En value is in the range of En ≤|1|. Intercomparisons evaluation can also be done by utilizing one of the data mining technologies in the form of clustering. Clustering is done by using self-organizing maps algorithm, which is an unsupervised learning algorithm. The advantage of clustering in evaluating intercomparation data lies in its ability to group data into several clusters that have closeness or similarity in characteristics / traits / characters of data, making it easier for intercomparation organizers to provide analytical recommendations for improving laboratory performance. Intercomparation data are grouped based on the homogeneity between members in one cluster and heterogeneity among the clusters. To get the best number of clusters, evaluation is carried out through three testing methods, pseudo-F statistic, icdrate and davies bouldin index. From several experiments, the largest pseudo-F statistic value was 167.53, the smallest icdrate value was 0.071 and the smallest DBI value was 0.053 for the 1000 g artifact. As for the 200 g artifact, the largest pseudo-F statistic value was 104.86, the smallest icdrate value was 0.289 and the smallest DBI value was 0.306
Konsep Manajemen Agile; (Methodologi dalam Manajemen Proyek yang berfokus pada manusia, hasil, metode)

This article aims to conceptually describe Agile Project Management. An alternative methodology in project management that is popular these days is Agile Project Management. This methodology focuses on people, results, minimal methods and maximum collaboration to anticipate fast moving and changing e-business projects. At this time the fast-moving business climate requires to quickly accommodate changing requirements during the development period, and provide product updates in accordance with the rapid evolution of software development and changes in user requirements. The advantages of using agile project management are: Shortened development cycle time by 75%, More stable workloads, Utilization of higher workloads as in large-scale software development, Software systems with a fixed number of programmers, Higher flexibility for change management plans and development, Better quality due to early feedback from clients.
No Reference Image Quality Assessment of Artificial Feed-Forward Network Model using Quantile Regression

Assessing image quality is significant for most issues in image processing, transmission and communication. There are several techniques have been proposed for quality assessment but the accurate feature learning is still challenging issues in various image processing applications. To improve the quality assessment with minimum difficulty, an Artificial Deep Structure Learning framework is introduced. The Artificial Deep Structure Learning framework performs the image quality assessment based on no reference method. Then the Artificial Deep Structure Learning framework with no reference (ADSL-NR) is carried out by using the test image without using the reference image information and extracts the feature vectors and provides the assessment results at the output layer. Result evaluation is carried out with LIVE in the wild image quality challenge database using different parameters such as Peak Signal to Noise Ratio, Computational Complexity and Accuracy. The qualitative results show that the proposed Artificial Deep Structure Learning framework with no reference achieves better performance in terms of higher peak signal to noise ratio, accuracy and minimum computational complexity.
Termination of Internal Control Policy in Waste Management in Bandung City

Waste management is all activities carried out to handle waste from the time it is generated until its final disposal. Waste handling activities as referred to in Article 22 of the Law of the Republic of Indonesia Number 18 of 2008 concerning Waste Management In the terminology of public administration, termination is associated with the public policy process and become an integral part of the policy cycle which includes initiation, estimation, selection, implementation, evaluation, and termination. Policy termination should be seen as an important step to make corrections to an existing policy and allocate risks more efficiently so that the delay in the termination process of a policy that is considered flawed will result in the dangers posed by a policy. In the internal control process carried out by the Bandung City Environment and Hygiene Service, the target of the termination process, decision-makers must know which policies are considered dysfunctional and need to form a configuration of political power that supports the termination process. Several factors hinder the process of implementing the termination of a policy. Sometimes doubts about intellectual ability in understanding issues related to specific topics can be a factor. What factors can strengthen the internal control of waste management in the City of Bandung is maintaining a local culture that develops in the community as an additional force in implementing the elements of internal control in waste management. In this case, it positions the cultural strength that develops in the community as a major role in each of its activities to strengthen the elements of internal control.KeywordsTermination, Policy, Waste Management, Bandung City.
ФОРМИРОВАНИЕ КОНВЕРГЕНТНОГО МЫШЛЕНИЯ У ШКОЛЬНИКОВ В ПРОЦЕССЕ ОБУЧЕНИЯ БИОЛОГИИ

The problem of the development of thinking in schoolchildren in the learning process occupies one of the main places in the work of a teacher. To form the need to learn means to provide cognitive activity, which implies the mastery of mental operations. Convergent thinking is one of the forms of such thinking operations, which involves the step-by-step execution of tasks to achieve one solution. The article presents the characteristics of convergent thinking and gives examples of tasks aimed at developing it in the process of teaching biology.
IMPLEMENTASI METODE RABIN KARP PADA APLIKASI PENGECEKAN KEMIRIPAN JUDUL TUGAS AKHIR (Studi Kasus: Jurusan Teknik Informatika Politala)

Checking the similarity of Final Project (TA) titles can be done by building a similarity detection application and implementing methods to determine the similarity of these TA titles. The method used is the Rabin Karp method, which is a word search method that searches for a pattern in the form of a substring using the hash. The data used in this study are student data and data on the 2016-2018 academic year of the Informatics Engineering Department at Tanah Laut State Polytechnic. The results of the similarity experiment can be divided into 3 (three) parts, namely not similar, somewhat similar, and very similar. It is said to be not similar if the percentage of the equation is 0% -20% as happened in k-gram 6 to k-gram 10. While it is somewhat similar if the percentage is between 21%-55% as seen in k-gram 3, k- gram 4, and k-gram 5. For very similar categories based on the percentage above 56% seen in k-gram 1 and k-gram 2. So it can be concluded that the more or greater the value of k-grams, the smaller the percentage results obtained, on the contrary, if the smaller the value of k-grams, the higher the percentage value.
An Emergency Measure Completeness Evaluation Method Based on UGC Data

Complete emergency measures are one of the important guarantees for effective emergency response. An evaluation method based on User-Generated Content (UGC) data is proposed to assess the completeness of emergency measures. To implement this method, UGC data comprising emergency needs from the users and emergency plans comprising emergency measures for specific emergency were firstly collected using a crawler program. A feature template was then established to identify relationships between different features, and a Conditional Random Field (CRF) model was used to extract emergency measures from the emergency plan and emergency needs from UGC data. The Siamese network was applied thereafter to compute the similarity between the emergency measures and emergency needs. The missing emergency measures were obtained based on the similarities, and a quantitative method to calculate the completeness was defined. Finally, using province A as a case study, the emergency measure completeness was evaluated and the emergency measures that need to be strengthened and improved were identified.
An Automatic Vehicle Routing and Tracking Technique Based on Video and Image Processing Techniques

In this paper, an advanced route tracking application is designed based on video and image camera stabilization technique. The initial input video can convert the images and contain noise as well as extreme distortions. Therefore, the following elements can affect the route tracking as well as mis-information gathering. In this paper a multi-media tool, based mute tracking application is introduced to obtain mad condition as well as route features. The initial images are filtered by using adaptive median filter to minimize the noise. After filtration road condition can easily identified and separate the target and background, moreover the boundary conditions helpful for extracting the neighborhood target images. The following process is working based on angle, derivative-path and curvature calculations. After this primary process, preview image can be obtained on the screen, according to this the driving speed can be controlling to front wheel rotations. The random pursuit-matching algorithm controls the later information and realization. The experimental outcomes show that proposed application has been helpful for driver less vehicle tracking easily. This investigation had been verified on various references speeds and managed with 0.04 meters.
Assessment of Geo-Accumulation indices of Some Selected Heavy Metals Using AAS in Langtang North, Nigeria

Samples of soil sediments of Bala, Gantang, Shi–for, Walang, Yangang Streets and Intorok street (control), Langtang North, Plateau State, Nigeria, were assayed using Atomic Absorption Spectrophotometry for selected heavy metals (As, Pb, Cd, Co, Cr, Cu, Fe, Mn, Ni and Zn). The results found in this study show that the Geo-accumulation index assessment ranged between 0.00 – 2.58 with Bala street having the least value, while Gantang street has the highest value this implies un-contamination to strongly contaminated. Contamination indices of the sediment samples indicated that Cr, Zn, As, and Pb were the greatest contaminants. It is therefore recommended that further research should be carried out to determine the concentrations of other heavy metals in the study area with different streets samples to ascertain the geo-accumulation index. Green plants should be used to remove environmental contaminants like heavy metals from soil especially in Bala Street which already has about 2.58 index. Area with low contamination like Bala and Intorok should also maintain status quo of good environmental preservation. Lastly, human activities such as agricultural activities should not be close to streets to prevent excessive buildup of heavy metals in plants or soil.
Educational Games for Handling Trauma Healing in Post-Corona Virus Pandemic for Grade 2 Elementary Schools: Thematic 2 (Playing in My Neighborhood)

The coronavirus pandemic (2019) has had a significant impact on the world of education, especially in the teaching and learning process. One of the handlings of trauma-healing problems in children after the coronavirus pandemic is through playing while learning. In the second thematic book for grade 2 elementary school children with the theme of playing in my environment, this attracted the attention of researchers to make learning media innovations for children that were interesting and informative. Besides, factual learning media are the focus of researchers to provide new information for children. The purpose of this research is to produce game innovations that hone the cognitive and psychomotor aspects of children as learning media. This game contains educational information about the coronavirus using a persuasive approach. The method used in this research is using the Research and Development Method with the ADDIE development model (Analysis, Design, Development, Implementation, and Evaluation). The output in this research is an educational game that can deal with trauma healing for children after the coronavirus pandemic and can be used as a reference for the learning curriculum for grade 2 elementary school children.
Teacher education in the emergency: pedagogies of care

Covid-19 pandemic sprang up a process that would drastically change the ways to teach and learn, deepening and accelerating the relationship between technologies and educational processes.The emergency situation challenged Universidad de la Republica (Udelar), which in turn designed and implemented remote teaching devices that allowed the continuity of higher education, minimizing academic impacts. Within this frame of action, the Virtual Learning Environments Program elaborated a Contingency Plan for teaching and learning, with an approach that considered pedagogy of care and critical digital pedagogy. One of the actions implemented was the Teacher Development Course Teaching Online in Emergency Conditions.The experience constitutes the first massive online open course in Udelar and it is one of the few of this sort in Uruguay.The article describes this innovative experience in teacher pedagogical development, presents the theoretical and methodological approach, the process and main decisions concerning the course design.Also, it describes main participation profiles and principal achievements of the experience, with the objective of identifying potential points of departure for teaching professional development initiatives based on the MOOC model. MOOCs are still at an initial stage;however, the proposal ended up being an enriching alternative to approach teacher professional development.This experience adds up empirical data, to a necessary accumulation that would in time, allow more generalizable appreciations.
ВЛИЯНИЕ ЭТНОКУЛЬТУРНЫХ ЦЕННОСТЕЙ НА ВОСПИТАНИЕ ЛИЧНОСТИ

The article deals with the problem of family education in the ethnic culture of the Altaians, the introduction of young people to the cultural and historical heritage of values. Historical and ethnographic analysis of studies describes the ethnic culture of the Altai as a pedagogical practice of ethnic society.
IMPLEMENTASI DEEP NEURAL NETWORK DENGAN FRAMEWORK TENSORFLOW LITE MICRO PADA SISTEM KAMERA KEAMANAN BERBASIS MIKROKONTROLER

ABSTRAK Sistem kamera keamanan merupakan sistem yang penting dalam mengurangi jumlah tindak kejahatan terutama tindak pencurian. Namun pada umumnya kamera keamanan bersifat pasif yangmemerlukan manusia sebagai pihak pengawas. Dengan pentingnya kamera keamanan, maka diinginkan sistem tersebut untuk lebih andal dan praktis dalam artian mampu bekerja secara independen tanpa memanfaatkan pihak manusia sebagai agen pengawas. Dengan mengaplikasikan fitur deteksi objek manusia pada kamera keamanan, peran pihak manusia sebagai pengawas berpotensi dapat digantikan. Untuk memanfaatkan potensi tersebut, maka telah didesain sistem kamera keamanan berbasis mikrokontroler yang dilengkapi dengan sistem deteksi objek manusia dengan model deep neural network yang dieksekusi dengan framework TensorFlow Lite Micro.Berdasarkan hasil pengujian, eksekusi model deep learning untuk deteksi objek manusia padamikrokontroler dapat dilakukan. Kinerja pada model terbaik dapat mencapai tingkat akurasi 76%,puncak konsumsi RAM sebesar 55.3 KB, berkas binary hasil compiling berukuran 293600 bytes(7.17% dari total memori flash ESP32), dan waktu inferensi selama 5.2 detik. Namun model yangdiaplikasikan pada sistem yang telah dibuat gagal mendeteksi objek manusia dengan akurasi yangdiharapkan dengan tilt pada kamera sebesar 30 derajat ke bawah pada ketinggian 3 m, maupunketika objek manusia tersebut tidak sedang berdiri atau berjalan secara tegak.Kata Kunci: Deteksi objek, Deep Learning, ESP32, MobileNet, CNN, TensorFlow Lite Micro ABSTRACT Security camera system is an important system for decreasing criminal act, esepecially theft.However, in general, security cameras are passive, requiring humans as supervisors. With theimportance of security cameras, it is desirable for the system to be more reliable and practical inthe sense of being able to work independently without using humans as monitoring agents. Byapplying the human object detection feature on security cameras, the role of the human side as asupervisor can potentially be replaced. To take advantage of this potential, a microcontroller-based security camera system has been designed that is equipped with a human object detectionsystem with a deep neural network model that is executed with the TensorFlow Lite Microframework. Based on the test results, the execution of a deep learning model for detecting humanobjects on the microcontroller can be carried out. The performance on the best model can reach76% accuracy, 55.3 KB of peak RAM consumption, 293600 bytes of compiled binary file (7.17% ofthe total ESP32 flash memory), and 5.2 seconds of inference time. However, the model applied tothe system that has been made fails to detect human objects with the expected accuracy with a tiltof the camera by 30 degrees down at a height of 3 m, or when the human object is not standing orwalking upright.Keywords: Object detection, Deep Learning, ESP32, MobileNet, CNN, TensorFlow Lite Micro
Competent Impulse Noise Removal Algorithm for Medical Images Using Non-Local Means Filter and LOG Filter

Impulse noise is a complication in all medical images. In this, the paper best method is proposed to suppress high-density impulse noise[IN]. Removal of noise is major work while working with various image. In order to restore the corrupted pixels, an impulse detector is applied first. The detecting device will verify the noisy pixels in impulse noise. Then the Non-local means filter and LoG filter is applied. Non- local means filtering and LoG filtering method is the most suitable denoising technique for medical images. The experimental results show the image quality and change in PSNR by using the algorithm. With this denoising of a medical image is performed.
UPAYA GURU BK MENINGKATKAN MOTIVASI BELAJAR SISWA MELALUI TEKNIK MODELING PADA SISWA KELAS X SMA TAMANSISWA TELUK BETUNG BANDAR LAMPUNG TAHUN PELAJARAN 2018/2019

The purpose of this study was to determine BK Teacher's Efforts to Improve Student Learning Motivation Through Modeling Techniques in Class X High School Students at Tamansiswa Teluk Betung Bandar Lampung High School Year 2018/2019.This type of research is the Study of Counseling Guidance Action (PTBK) by carrying out two cycles. The research subjects of class X IPS students were 6 students. Data collection techniques and tools use observation, interviews and documentation. While the data analysis technique uses comparative descriptive.Based on the results of research conducted at an early stage found 6 students who experience low motivation to learn problems in students. Then after being given a modeling technique it can be seen an increase in students' motivation to learn well, this can be shown by the results of observational data / observations and interviews that have been conducted on students. In the first cycle there was an increase in learning motivation of students through modeling techniques, this can be seen from the first cycle the average achievement of students' motivation towards 6 students by 24.13% with the category quite good and in the second cycle an increase with average average of 32.08% with a high category. Thus it can be concluded that the modeling technique can improve student motivation in class X SMA Tamansiswa Teluk Betung Bandar Lampung in the 2018/2019 academic year.
Smart University Model for Saudi Arabian Universities

Digital Transformation plays important roles to deliver services to users by organizations. It has changed the way that universities work. Any university has a great contribution for the upcoming professionals and workforce for the labor market; it becomes a challenging task for all the universities to achieve digitization. Recently, it had proved a significant markup for development of smart cities globally. However, due to the lack of finding a smart model for a university, the smart services that are delivered by universities to users are not enough to be sufficient and sophisticated. Therefore, this paper presents a complete model that will be sufficient for the evolution of a smart university campus. The basic model, which is required at the university to achieve “smart” working characteristics, can contribute to the digitization. In another words, the paper represents an architecture, which will help to upgrade the working model of a university, to achieve digitization and transformation from traditional working to a model-working environment. This study involves in conducting a literature review in order to identify the components of the smart university model. This study will be a benefit for Saudi Arabian's universities to move from traditional work to be smart university to provide sufficient services.
Awareness and Use Pattern of e- Journals: A Study of Maharshi Dayanand University, Rohtak

The purpose of this paper is to examine the use of e-journals by the research scholars and faculty members of MaharshiDayanand University,Rohtak (Haryana).A survey was designed to collect basic information about the level of use of electronic journals as well as other factors contributing to and associated with their use. A wellstructured questionnaire was distributed among research scholars and faculty members to collect the necessary primary data, keeping in view the objectives of the study. From this survey it was found that most of the users are aware of e-journals and they are not only using them for building and updating their knowledge but also for collecting relevant material for their study and research purposes as information can be acquired expeditiously through e-journals.The paper provides suggestions derived from the analysis of data which in turn will help to enhance the use of e-journal services and fulfill the needs and requirements of users.
Machine Learning With Decision Tree for Predict Incoice Payment, Case Study Gramedia Jakarta

machine learning, decision tree, C5.0 algorithm, crisp-dm, invoice overdue prediction, rapid miner
Dialogue of cultures in the music of I. Stravinsky

The relevance of the definition of the phenomenon of dialogue of cultures in Stravinsky's music is noted. I. Stravinsky was a philosopher in music, had his own poetics, aesthetics, his own definition of the phenomenology of music, which developed in the rather complex realities and adequations of the cultural space of the twentieth century. The dialogue of cultures can be defined as a vertical, different cultural contexts are actualized in a work of art, which makes them sound in unison. Allusions, polystylistics, even eclecticism are signs of the dialogue of cultures as an immanent reality of cultural interaction in the work of I. Stravinsky.