Reviewerly/exHarmony huggingface dataset:
Book Markir Application Program for Student with Special Needs at Universitas Muhammadiyah Gresik

Education is a right for all citizens regardless of differences in degrees, economic conditions or others, as well as for people in Gresik Regency. Books are an inseparable part of education. Therefore, every university must provide books as a means for the smooth learning process. One way to make it easier for students, especially those with special needs, to access library books is by using the Book Marking Application. This application is based on Augmented Reality so it requires a marker which will be scanned with an integrated camera with the Vuforia Augmented Reality Plugin. Students can choose books that are available on the library bookshelf without directly coming to the library, then the library will deliver the book according to the scanned marker information.
Nominalisasi Melalui Proses Afiks pada Proposal Tugas Akhir Mahasiswa Kebidanan Giri Satria Husada Wonogiri

The Affixed Nominalization of Final Assigment Proposal Student of Giri Satria Husada Midwifery in Wonogiri Penelitian ini bertujuan untuk memaparkan nominalisasi dengan afiksasi dan fungsinya dalam teks proposal tugas akhir mahasiswa kebidanan. Metode penelitian ini adalah metode kualitatif dengan data berupa kata nominalisasi melalui afiksasi dalam kalimat pada teks proposal tugas akhir mahasiswa kebidanan. Teknik pengumpulan data yang digunakan yaitu teknik baca dan teknik catat. Adapun analisis data yang digunakan yakni metode padan dan metode agih. Hasil penelitian ini adalah (1) nominalisasi yang ditemukan yakni nomina hasil pelekatan afiks pe-, -an, -nya, ke-an, per-an, dan pe-an; nominalisasi yang dihasilkan berasal dari verba, adjektiva, dan konjungsi; (2) fungsi penggunaan nominalisasi yakni: tercipta kepadatan leksikal sehingga terjadi pemadatan informasi, penyajian ide abstrak dengan pengedepanan tema/topik sehingga tulisan bersifat objektif, menghubungkan makna antarkalimat/paragraf sehingga menjadi padu. Kata kunci: Afiksasi, nominalisasi, proposal The aim of this research is to reveal affixed nominalization and its function in final assignment proposal of midwifery student. This research method is a qualitative method with data in the form of nominalization lexical through affixation in the midwifery students final project proposal sentences. The data collection techniques employed in this research are reading and recording techniques. Whereas, the data analysis was conducted by exerting the padan and agih methods. The results of this research are as follows: (1) the affixed nominalization which is found in this research are non-noun words with pe-, -an, -nya, ke-an, per-an, and pe-an; the nominalizations are as result of adjective and conjunction, (2) the utilization of nominalization function are: creating lexical density. It is therefore information can be compressed, presenting abstract idea by prioritizing themes/topics. As a result, the writing can be objective in connecting sentence/paragraph. Thus, it can be coherent. Keyword: Student Literacy Tour, Pantun, Student Awareness, Student Confidence, School Action Research
SISTEM PENYIRAMAN OTOMATIS BERDASARKAN SUHU RUANG DAN KELEMBAPAN TANAH BERBASIS FUZZY LOGIC

Optimization of agriculture can be done by modernizing agricultural processes through the use of the Internet of Things. One of the problems with modern agricultural processes in greenhouses is maintaining stable room temperature and soil moisture conditions. Currently, automatic watering is only carried out with a scheduling system based on certain times, such as morning and evening. Based on observations of two gardens, the condition of some plants looks dry and wilted due to lack of watert. Therefore, it is essential to have a system that calculates soil moisture content and room temperature, which will then provide the results of these calculations to turn on the plant watering device. Fuzzy logic is used to determine the condition of the system that will send a signal to the IoT hardware to carry out the process of watering plants automatically by paying attention to air temperature and soil humidity. This rule is applied to the Smart Farm ing application , called Tani Cerdas, which is built based on Android to manage modern agriculture based on the IoT . The test showed result that the built automation system can produce a good response based on data from sensors .
Upaya Meningkatkan Prestasi Belajar Ipa Kelas Viia Smp Negeri 2 Muntilan Tahun Pelajaran 2019/2020 Materi Interaksi Mahkluk Hidup Dengan Lingkungannya Melalui Metode Pembelajaran Discovery Learning

Sciences (IPA) is a national compulsory subject that has several indicators that must be achieved by students. In fact, students of SMP Negeri 2 Muntilan are still in poor category in maximizing their cognition in learning process. Many students do not follow the process, so it has an impact on the results. Based on observations, the students tend to be passive and do not pay attention. In addition, teachers are also still practicing conventional teaching methods. Those are the main factors of the low student learning outcomes. Therefore, researchers compiled classroom action research by applying the Discovery Learning in the learning process. The model is applied to improve science learning achievement for class VIIA of SMP Negeri 2 Muntilan academic year 2019/2020 by focusing on topic of interaction of living things with their environment. The research subjects are 32 students, with the composition of 18 male students and 14 female students. There are two kinds of data, qualitative and quantitative. The qualitative data are taken from observations of teacher and students’ activities, meanwhile the quantitative data is taken from the students’ learning result. The results of the first cycle of the research shows that 100% of students reach the minimum standard score with an average score is 83.65. However, there are 9.3% (3) students who are on the minimum standard score. Meanwhile the results of the second cycle shows the improvement of the students’ result. It shows that all the students get more than minimum standard score with the average score is 87.875. Based on the research findings, it can be concluded that the application of Discovery Learning model can improve the students’ science learning outcome for class VIIA of SMP Negeri 2 Muntilan of academic year 2019/2020 focusing on the interaction of living things with their environment topic
Efektivitas Penggunaan Media Pembelajaran Dakonmatika untuk Meningkatkan Kemampuan Berhitung Siswa Kelas IV SDN Kalanganyar Sedati Sidoarjo

The purpose of this study was to test and prove the difference in numeracy skills before and after using Dakonmatics learning. With a quantitative research approach and the type of pre-experimental research, namely One Group Pretest – Posttest (before and after). The research sample was the fourth grade students of SDN Kalanganyar Sedati Sidoarjo for the academic year 2021/2022, which amounted to 31 students. Data collection used the test method. T-test to test the effectiveness of using dakonmatics learning media. The results showed that there was a very significant difference in numeracy skills before and after using the dakonmatics learning media, this is evidenced by the magnitude of the probability (Sig. 2-tailed) = 0.000 &lt; α = 0.05 and even more smaller than α = 0.01. So it can be concluded that the use of Dakonmatika learning media is effective in improving numeracy skills in FPB and KPK materials.
A Python Pipeline for Rapid Application Development (RAD)

Rapid Application Development (RAD) is the ability to rapidly prototype an interactive interface through frequent feedback, so that it can be quickly deployed and delivered to stakeholders and customers.RAD is a critical capability needed to meet the ever-evolving demands in scientific research and data science.To further this capability in the Python ecosystem, we have curated and developed a set of open-source tools, including Panel, Bokeh, and Tethys Platform.These tools enable prototyping interfaces in a Jupyter Notebook and facilitate the progression of the interface into a fully-featured, deployable webapplication.
Variational Autoencoders For Semi-Supervised Deep Metric Learning

Deep metric learning (DML) methods generally do not incorporate unlabelled data.We propose borrowing components of the variational autoencoder (VAE) methodology to extend DML methods to train on semi-supervised datasets.We experimentally evaluate the atomic benefits to the perform-ing DML on the VAE latent space such as the enhanced ability to train using unlabelled data and to induce bias given prior knowledge.We find that jointly training DML with an autoencoder and VAE may be potentially helpful for some semi-suprevised datasets, but that a training routine of alternating between the DML loss and an additional unsupervised loss across epochs is generally unviable.
Punctuation and Capitalization in Writing: How Do Students Produce Them?

This study aimed to know the way the students produce punctuation and capitalization in their writing of descriptive text. The students as the respondents of this study were 38 eleventh graders a certain senior high school in Semarang. They were given a descriptive text writing test. Their writing test result was the data of this present study. The data were analyzed by using the rule of punctuation and capitalization writing. The analyzed data were interpreted to get the final conclusion of the study. The results of the study were that the students� incorrect writing of punctuation was on comma, full stop and apostrophe, while for capitalization was on the first word of a sentence, the name of people, and the names of places. In short, the researchers classified the ways the students wrote descriptive text were incorrectly on comma, full stop, apostrophe, the first word of a sentence, the name of people, and the names of places.
The Masculinity and Its Characteristics Depicted by Dawson Cole as the Main Character in The Best of Me Novel

This study aims to analyzing the characterization of Dawson Cole and to find out the characteristics of masculinity through Dawson Cole�s portrayal. This study focuses on the main character Dawson Cole who has the characteristics of masculinity. It explaining and analyzing the characterization of Dawson Cole using Edward Jones�s characterization theory and Dawson Cole's characteristics of masculinity using Janet Saltzman Chafetz's concept. This study used a descriptive qualitative method. This study finds the masculinity and its characteristics of the main character Dawson Cole. Based on the references used in this study, Dawson's characterization could be found in five ways, they are. characterization through appearance, characterization through dialogue, characterization through external action, characterization through internal action, and characterization through the reaction of other characters. Dawson also has seven masculinity characteristics, they are: physical, a function of the man, sexually aggressive, emotion, intelligence, interpersonal, and other personal.
Puppeteering the Pixels

This talk presents two techniques where novel animation tools are used to influence the final render in unusual ways that have been implemented in the Sony Pictures Imageworks pipeline. The first technique, CreaseLines, provides animators the ability to dynamically create and control curves to define emotive facial creases that directly drive displacement of the face meshes. CreaseLines wide range of control opened new opportunities for animators to quickly hit performances in a very direct way. The second technique, Variable Motion Blur, gives the animators more direct control over the motion blur in the render, allowing them to easily direct the audience’s attention and highlight the important action. Spheres define regions in the scene where motion blur amplitude can be scaled.
The role of the balanced performance model in raising the level of performance in the banking sector Applied research in Al-Rafidain Bank

The research aims to shed light on the Balanced Scorecard method and performance measures and to show the impact of applying the Balanced Scorecard to improve the performance of Al-Rafidain Bank on the banking business, as well as showing the extent of employee and customer satisfaction with the services provided by the bank.The research was based on a basic premise that "the use of the four dimensions of the balanced scorecard in evaluating the bank's performance will help raise the level of performance in Rafidain Bank."The researcher concluded that the goal of the balanced scorecard is the periodic review of the bank's performance, in order to identify shortcomings in order to address them and Addressing the shortcoming in the traditional management systems due to their inability to link the various strategies of the institution in order to avoid losses that the bank may be exposed to in the future by applying the balanced scorecard with its four dimensions, which will help the bank to achieve its goals of profit, business continuity and prosperity
Descriptor feature based on local binary pattern for face classification

Local Binary Patterns (LBP) is a non-parametric descriptor whose purpose is to effectively summarize local image configurations.It has generated increasing interest in many aspects including facial image analysis, vision detection, facial expression analysis, demographic classification, etc. in recent years and has proven useful in various applications.This paper presents a local binary pattern based face recognition (LBP) technology using a Vector Support Machine (SVM).Combine the local characteristics of LBP with universal characteristics so that the general picture characteristics are more robust.To reduce dimension and maximize discrimination, super vector machines (SVM) are used.Screened and Evaluated (FAR), FARR and Accuracy Score (Acc), not only on the Yale Face database but also on the expanded Yale Face Database B datasets, the test results indicate that the approach is accurate and practical, and gives a recognition rate of 98 %.
Optimized textural features for mass classification in digital mammography using a weighted average gravitational search algorithm

Early detection of breast cancer cells can be predicted through a precise feature extraction technique that can produce efficient features. The application of Gabor filters, gray level co-occurrence matrices (GLCM) and other textural feature extraction techniques have proven to achieve promising results but were often characterized by a high false-positive rate (FPR) and false-negative rate (FNR) with high computational complexities. This study optimized textural features for mass classification in digital mammography using the weighted average gravitational search algorithm (WA-GSA). The Gabor and GLCM features were fused and optimized using WA-GSA to overcome the weakness of the textural feature techniques. With support vector machine (SVM) used as the classifier, the proposed algorithm was compared with commonly applied techniques. Experimental results show that the SVM with WA-GSA features achieved FPR, FNR and accuracy of 1.60%, 9.68% and 95.71% at 271.83 s, respectively. Meanwhile, SVM with Gabor features achieved FPR, FNR and accuracy of 3.21%, 12.90% and 93.57% at 2351.29 s, respectively, while SVM with GLCM features achieved FPR, FNR and accuracy of 4.28%, 18.28% and 91.07% at 384.54 s, respectively. The obtained results show the prevalence of the proposed algorithm, WA-GSA, in the classification of breast cancer tumor detection.
Research on path planning strategy based on dynamic object obstacle avoidance

As a decision-making layer, path planning technology plays an important role in intelligent driving. Using the A* algorithm or the TEB (timed elastic band) algorithm alone cannot achieve global path optimization and dynamic obstacle avoidance at the same time. This paper adopts a path planning strategy combining A* and TEB algorithms. First, use the A* algorithm to test in a static environment, then use the TEB algorithm to test in a dynamic environment, and finally, conduct experiments in a complex environment with both static and dynamic obstacles, the feasibility and effectiveness of the method for path planning in static maps with dynamic obstacles are verified.
Exploring The Practices Of English Village (A Case Study at Nyayum Village)

This research is descriptive qualitative which aims to find out the practices of the English village in the village of Nyayum. A class consists of eighteen participants from different classes who are deliberately selected as samples. Data was collected by using observation, field notes and student text. This research was conducted during teaching and learning activities. This research lasted for eight meetings. In teaching and learning activities, four stages of genre pedagogy are applied, namely knowledge building, modeling, combined joint construction, and independent construction. The application of a Genre-Based Approach to help Students to be able to communicative. Communicative can be in the form of oral, written, or even nonverbal. It is an inclusive term that refers to having knowledge of the language as well as the skills to use language in real-life situations to meet communicative needs. Language according to the researcher, is achievement in communication. During teaching and learning activities, observations were made by collecting field notes and student text. data analysis used thematic analysis to analyze field notes and text documents therefore, trigulation was carried out to validate the data. the findings describe the practice of English village at nyayum village using a genre-based approach in learning activities. The practice of English village using a genre based approach as a method in teaching and learning activities can help students practice English because there is interaction between tutors, and participants. So, it can be used to teach English both informal and non-formal education.
Prediction of survival rate of breast cancer patients using machine learning

Cancer is a particularly varied ailment that results from pursuing allure, progress, and asperity, which is amazingly troublesome. The most ordinary malignancy-producing structure is the TNM (carcinoma, growth, often major) arrangement that is located generally on dispassionate news like swelling intensity, consideration of spread, etc. Combining phenotypic and microscopic dossiers from tumour victims can result in more specific writings of disease progression and asperity. Investigated the accompanying three microscopic datasets (DNA methylation, RNASeq and miRNASeq dossiers) in addition to the clinical dataset to conclude the overall endurance of feeling malignancy sufferers. The machine intelligence algorithms conclude the maximal accuracy of the survival rates.
Introduction to the Scientific Python Ecosystem

In the previous chapter, we studied advanced image processing with Pillow. Pillow is a nice starting point for image processing operations. However, it has its limitations. When it comes to implementing elaborate image processing operations, such as segmentation, morphological operations, advanced filters, and measurements, Pillow proves to be inadequate. We really need to use better libraries for advanced image processing. The SciPy ecosystem serves as a foundation for all the scientific uses of Python. It is most extensively used for a variety of scientific operations.
Analyzing the single-reed excitation mechanism

The Reflections series takes a look back on historical articles from The Journal of the Acoustical Society of America that have had a significant impact on the science and practice of acoustics.
Verification and Data Processing of Open Data for Data-Driven News Stories in Lokadata.id and Katadata.co.id

With the existence of open data, journalists have additional investigative tools to report on issues in the public interest and to hold the government to account. However, it remains outside the mainstream of journalism due to the limitation to access and work with data. The open data initiative in Indonesia has started since 2010. Adhering to UU No. 14 Tahun 2008 about Public Information Openness, Indonesia has implemented an open data portal, called Satu Data Indonesia in 2019. There are indeed a handful of studies that examine the implementation of open data portals in Indonesia. However, only a few studies have given attention to how data journalists are using these data and their perceptions about the quality of data provided by the government. This study uses a descriptive qualitative approach and collects data through semi-structured in-depth interviews. It is intended to see the process on how data journalists in Indonesia turn data to news stories. By studying Lokadata.id and Katadata.co.id, we found that data provided by the authority sources (government) are still the main sources for data journalists in Indonesia. Despite the fact that the quality of data is getting better, most journalists in this study argued that the government’s open data has not yet integrated and has no basic standard that is collectively used. Therefore, the verification process and data processing in each media is important. The most common ways that journalists use to verify the data are by exploring the raw data, contacting the institution that provided the data, and considering the reputation of the data sources. However, there is a tendency of data journalists to be passively relying on official sources and ‘hide behind’ the perceived credibility of their sources.
Evaluation of a prototype of an artisanal incubator for quail eggs (coturnix coturnix japonica) implemented with Arduino technology

Quail pups in St. Helena come from factory farms outside the province, making acquisition costs more expensive for the small producer. There are high-performance incubators for bird breeding, but their costs are not within the reach of an average poultry farmer. In this sense, to contribute to the developmentand increase the productivity of poultry breeding in small producers, Arduino technology was implemented to assemble incubators with low-cost materials for the average producer in the province. The techniques used in the research such as field notes, observation, and statistical tools yielded favorable results of 75% hatching and an efficiency of more than 83%. Observations by candling showed that the incubator system with Arduino is efficient in the formation of the chick. On the other hand, the investment costs for this equipment are attractive for the producer in the area.
XR Journalism Lab

Extended reality (XR) has great possibilities for the development and dissemination of multimedia content. One of the areas where extended reality can have a significant impact is in the field of journalism within information and communication sciences. In this chapter, the authors determine the features of current XR media, including virtual reality and augmented reality and their application in the teaching of journalism. This review shows that XR technology can serve to capture reality, simulate it, and recreate fictional scenarios. From 360º video to volumetric video, from artificial intelligence to deep learning, the extended reality is reshaping how rigorous communication research is conducted and how scientific results are crafted for public audiences. Therefore, from the analysis of these available technologies and their potential evolution, this chapter establishes the key features of a learning laboratory for immersive journalism. The authors conclude by showing how XR can open new space for journalism teaching and research.