Reviewerly/exHarmony huggingface dataset:
Development of Android E-Modules in the Form of Flip Books Based on Balinese Local Wisdom

This study aims to produce an android e-module in the form of a flip book based on Balinese local wisdom on the course of early childhood language development methods that meet the feasibility in terms of content and construct validity as well as practical use in the classroom. This is a research and development (R&amp;D) method with the Borg &amp; Gall model. This study collected data using interview guidelines, questionnaires, and observation sheets. The data analysis technique used is descriptive statistics. The obtained data are then examined to determine the validity and practicability of the produced product. According to the testing findings, the android e-module in the form of a Flip Book based on Balinese local knowledge has fulfilled the feasibility in terms of content validity in the very excellent category with a score of 4.63 out of a possible score of 5.00. Meanwhile, students' ratings in terms of practicality in terms of time usage, which is classed as efficient, are in the good category, totaling 3.76 out of a maximum score of 5.00. The results of this study have implications for the use of e-modules which can be used as an alternative in teaching effective, efficient, and interesting language development methods courses because they are packaged in digital form.
PEMBELAJARAN ANALISIS MORFOLOGIS DALAM TEKS BIOGRAFI MENGGUNAKAN METODE PEMBELAJARAN TANDUR PADA PESERTA DIDIK KELAS X SMK PELITA

The purpose of this study was to describe the improvement of learning outcomes of biograpy texts, writing skills and analysis of morphological processes using the TANDUR learning method in class X SMK Pelita. TANDUR learning method is an acronym for Grow, Experience, Name, Demonstrate, Repeat and Celebrate. The research method used is a quasi-experimental class consisting of a control class and an experimental class, both classes will carry out pretest and posttest activities. Each class consisted of approximately 45 people, but in each experimental class and control class, samples were taken from each control and experimental class with a total of 30 students. When the normality test and homogeneity test were carried out using the Leavene test in biographical text learning, the data were normal and homogeneous, the results of the n-gain t-test calculation using the independent sample t-test the results showed 0.000 less than 0.05, it can be concluded that there is an increase which is significant between the learning outcomes of the experimental class and the control class. When the normality test and homogeneity test were used, the data was not normal and not homogeneous, so a non-parametric test using Mann-Withney was used, the result was 0.005 smaller than 0.05, which means there was an increase in the ability to write biographical texts in the experimental class and control class. So it can be concluded that the TANDUR learning method can improve learning outcomes and writing biograpy text skills in class X SMK Pelita.&#x0D; Keywords: Keywords: Learning, Biographical Text, TANDUR learning method.
Experienced skills in the alternative towards a blended or hybrid model: the case tested in the economic and administrative sciences

The elements that we knew in the Universities in which large groups of students were summoned ceased to be operable. The systems based on face-to-face and distance education were strongly ascending but at a slow pace. The present study had the purpose of recognizing the context, scenarios and challenges experienced after the pandemic confinement that give way to the consideration of moving from the traditional classroom to hybrid education. For this purpose, a non-experimental, exploratory, descriptive and quantitative research was carried out under a conceptual, theoretical and observational methodology, which allowed the application of an instrument with validity and reliability that measured, according to the criterion of perception. The results show the achievements expressed by the students, where they highlighted the degree of contribution of the didactic strategies, as well as the contribution to the comprehension, analysis and debate, emphasizing the collaborative conception and that an adequate personalized feedback was provided by the teacher. The great challenges to be faced in relation to the implementation of a hybrid classroom model, let's consider transforming an educational model into a hybrid one that allows to effectively harmonize both face-to-face and distance students, with the support of online materials and resources. Considering the factor of opportunity and equity towards students, finally the latent threat of insufficient resources that generates uncertainty for proper academic planning.
Investigating the nexus between strategic human resource management practices and employee engagement

This study explores the relationships between strategic human resource management practices and employees' work engagement in Bangladesh's ready-made garment (RMG) industry. The study collected data through a self-administered questionnaire survey from 178 employees from 12 RMG firms located in Chittagong employing convenient sampling technique. The partial least squares technique was utilized to examine the validity and reliability of data and to test the proposed hypotheses. The findings reveal that four out of five hypotheses were accepted. Particularly, results demonstrated that recruitment and selection, performance appraisal, employee participation, and compensation directly impacted work engagement. These are essential strategic human resources management (SHRM) practices to foster employee work engagement in the Bangladeshi RMG industry. This study contributes to the SHRM-work engagement literature by providing further evidence about predictors of work engagement in the manufacturing sector in a developing economy. The study also explains the implications for theory and practice and limitations and directions for future studies. IIUC Studies Vol.18, December 2021: 9-32
PENGARUH APLIKASI SOLITE KIDS TERHADAP PERKEMBANGAN KEMAMPUAN MEMBACA PERMULAAN PADA ANAK USIA 5-6 TAHUN

Early reading skills are an important aspect of child development. Early reading skills of children must be stimulated from an early age. Especially in this online learning period, parents and teachers must be creative in stimulating children's early reading skills. The title of this research is "The Effect of Solite Kids Application on the Development of Early Reading Ability of Children at the Age of 5-6 Years". The research used is quantitative using the Quasi Experiment method, which is to see the influence between the experimental group and the control group. The sample in this study were 30 students, namely 15 children from the experimental section (who were given treatment) and 15 children from the control section at Permata Bunda Islamic Kindergarten, Bintaro, South Tangerang. Data collection uses observation and documentation. This study uses data analysis techniques in the form of statistics by using the t test which shows the results of a Sig (2 tailed) value of 0.000. Where if Sig (2 tailed) &lt;0.05 then H0 is accepted and H1 is rejected. This shows that the solite kids application has a significant effect on the ability to recognize letters. It is concluded that the solite kids application can have an influence on the development of reading skills of children aged 5-6 years.&#x0D; Keywords: Solite Kids Application, Beginning Reading Ability
Analisis Sentimen Mengenai Gangguan Bipolar Pada Twitter Menggunakan Algoritma Naïve Bayes

Bipolar disorder is one of the world's most common mental health disorders. To find out public sentiment regarding bipolar disorder, sentiment analysis is carried out through social media to analyze positive or negative sentiments with the aim of maintaining positive sentiment towards the problem of bipolar disorder. Twitter is a social media that is often used to exchange information, discuss, and even express emotions. The emotions of Twitter users can be called sentiment. Sentiment analysis is also carried out to see opinions or tendencies towards an opinion. Opinion tendencies can be in the form of positive or negative sentiments. The data used in this study uses the bipolar keyword. There are 2177 tweets data that were successfully obtained in the crawling process using API key access from Twitter developers, after which the data will be processed using preprocessing. The comparison of the presentations obtained is 70.92% expressing a negative opinion and 29.08% expressing a favorable opinion. The analysis results in this study using the nave Bayes algorithm is with an accuracy value of 92.110092%.
Структурные и геохимические особенности золоторудных районов Приамурской провинции

The article discusses structural confinement and geochemical features of localization of three historically formed gold ore districts in the Amur gold-bearing province: Solovyovsk, Gonzha, and Tokur, presenting the data on the gold deposits in the districts, from which, since 1890, the main amount of gold has been extracted. It is shown that the structural elements, determining the position of gold ore districts, are the zones of ore-controlling faults: South Tukuringra, North Tukuringra, and Jeltulak. The distinct spatial connection of the native gold and cinnabar dressing halos with the North-Tukuringra and South-Tukuringra fault zones has been established. The significant amounts of mercury in the native gold of the Amur province, as well as high gold content in cinnabar and native mercury are noticed, which may indicate the genetic proximity of the gold and mercury mineralization of the province. It is assumed that the main source of gold and mercury is the mantle matter, initially rich in these components. It is established that, in the Amur gold-bearing province, the principal geochemical feature of ore-controlling fault zones is gold and mercury mineralization confined to them.
PELATIHAN MANAJEMEN PENDIDIKAN BERBASIS BUDAYA DI MOJOKERTO

Mojokerto as a heritage area of ​​the Majapahit kingdom has a diverse cultural heritage. Various Majapahit relics can be seen with the existence of Majapahit heritage temples in Mojokerto, there are Brahu Temples, Bajang Ratu, Rat Temples, Dentong Temples, Segaran Ponds. There is also a trowulan museum. In the field of arts and culture there are dance and music arts as well as crafts such as sculpting and metal crafts. In order to preserve all these cultures, it is considered necessary to include culture in the school curriculum both in subjects (local content) and extracurricular such as arts and culture and the existence of outing classes or learning outside the classroom to get to know the original culture of Mojokerto, the legacy of the Majapahit kingdom. PKM with the theme of Culture-Based Education Management Training in Mojokerto is expected to be able to contribute to the city of Mojokerto in terms of developing culture-based education. In this case, PKM activities are centered in Ir. Soekarno is small and the Wayang Museum which is part of the history and culture developed by the Mojokerto city government as a Center for Education and History Tourism. The output of this PKM activity in addition to the Workshop in Mojokerto, the results of this PKM will also be recorded as an ISBN book and scientific articles will be compiled to be published in the National PKM Journal. The technology transfer provided in this PKM is the development of the school curriculum in Mojokerto City by adopting a Culture-based curriculum. In its implementation, PKM from UNESA MP Masters invited art and culture teachers and elementary school crafts in Mojokerto City to provide strengthening of Culture-Based Education Management. In the future, this PKM can realize SD Purwotengah as a Cultural Heritage and Educational Tourism in Mojokerto City.
Development of Hypermedia-Based Interactive Learning Tools to Improve Student Social Science Learning Outcomes

This study aims to produce hypermedia-based learning tools that are valid, practical and effective to improve the social science learning outcomes of elementary school students. This research used the Research and Development method with the ADDIE model using an experimental design. The population of this study was teachers of SDN Tamanbaru and SDN Kebalenan along with grade IV students of SDN Tamanbaru amounting to 13 students and grade IV of SDN Kebalenan amounting to 97 students. This research instrument used observation, tests, and questionnaires. Meanwhile, the data analysis techniques were validity test, reliability test, N-Gain test, and Independent t-test. The results showed: 1) hypermedia-based learning devices have very valid quality with a score of 92.5% and an average reliability of 90.2%; 2) Effective category hypermedia-based learning tools based on the N-Gain value on the limited test of 31.76%; and the experimental class at 34.2%; the results of the independent t-test test obtained the value of the sig lavene's test was 0.203&gt;0.05 and the equality of means obtained a sig of 0.034&lt;0.05; 3) Hypermedia-based learning tools are very practical based on student responses to limited tests, with an average score of 87.70% and the average score of experimental classes of 91.07%; and the ability to manage the learning process on limited tests by 91.2% and experimental classes by 96.4%. Thus, hypermedia-based learning tools are valid, practical, and effective so that they can be used in the social science learning process on the theme of the diversity of work in grade IV elementary school.
Sistem Replikasi Basis Data berdasarkan MySQL menggunakan Container Docker

This study aims to implement database replication using the master-slave technique. The main focus of this research is to run data replication on the master server so that it can be copied automatically on the slave server. Master-slave replication techniques aim to prevent data loss from system failure events or device damage on the main server. The concept of master-slave replication is to copy data from the master server database to the slave server so that users do not need to manually backup data from the database. Master-slave database replication is one of the features provided by the MySQL database application in the Docker container. Still, to run the replication system, some adjustments and configurations are required for the database application to establish a replication infrastructure automatically. In this study, the replication was run on a MySQL database application with 20 multimedia data files capacity of 100MB. Testing is done by entering data into the database on the master server. The test scenario in this study was to upload data and delete data. The test results show that the data changes automatically: the data on the slave server is the same as on the master server, even though the data on the master server has gone through data uploads and deletions. And vice versa, data changes made on the master server are also directly replicated on the slave server.
THE EFFECT OF EDUCATIONAL LEAFLET USING BLOOD ADDED TABLETS ON THE KNOWLEDGE LEVEL OF PREGNANT MOTHER PATIENTS WITH ANEMIA AT PUSKESMAS 1 JEMBRANA

Background: Anemia in pregnancy is a condition where the hemoglobin (Hb) level is less than 11gr/dl in women who are pregnant. Providing education through leaflets to pregnant women is expected to help prevent anemia during pregnancy. Objective: The purpose of this study was to determine the effect of providing education on the use of blood supplement knowledge on the level of knowledge of pregnant women with anemia at Puskesmas I Jembrana in 2022. Methods: The research design used in this study was a quantitative study with a pre-experimental design approach of Groups Pretest-Posttest. The sampling technique used was total sampling with 67 pregnant women with anemia. Results: The results of this study revealed that there was an effect of leaflet education on the use of blood-added tablets on the knowledge level of pregnant women with anemia at Puskesmas 1 Jembrana with a p-value of 0.000 &lt; (0.05) and a mean difference in the pretest and posttest values ??of 5.43. Conclusion: There is a significant effect between the level of knowledge about the use of blood steadfast tablets and the incidence of anemia in pregnant women. It is hoped that the public, especially pregnant women, will pay more attention to their condition and always consult health workers regarding the use of blood-added tablets.&#x0D; Keywords: Anemia; Leaflet; Knowledge
EmbedFormer: Embedded Depth-Wise Convolution Layer for Token Mixing

Visual Transformers (ViTs) have shown impressive performance due to their powerful coding ability to catch spatial and channel information. MetaFormer gives us a general architecture of transformers consisting of a token mixer and a channel mixer through which we can generally understand how transformers work. It is proved that the general architecture of the ViTs is more essential to the models' performance than self-attention mechanism. Then, Depth-wise Convolution layer (DwConv) is widely accepted to replace local self-attention in transformers. In this work, a pure convolutional "transformer" is designed. We rethink the difference between the operation of self-attention and DwConv. It is found that the self-attention layer, with an embedding layer, unavoidably affects channel information, while DwConv only mixes the token information per channel. To address the differences between DwConv and self-attention, we implement DwConv with an embedding layer before as the token mixer to instantiate a MetaFormer block and a model named EmbedFormer is introduced. Meanwhile, SEBlock is applied in the channel mixer part to improve performance. On the ImageNet-1K classification task, EmbedFormer achieves top-1 accuracy of 81.7% without additional training images, surpassing the Swin transformer by +0.4% in similar complexity. In addition, EmbedFormer is evaluated in downstream tasks and the results are entirely above those of PoolFormer, ResNet and DeiT. Compared with PoolFormer-S24, another instance of MetaFormer, our EmbedFormer improves the score by +3.0% box AP/+2.3% mask AP on the COCO dataset and +1.3% mIoU on the ADE20K.
Implementation of The Backpropagation Method and The Kohonen Network to Predict Blood Availability: Case Study in PMI Kota Magelang

The availability of blood stocks at the Indonesian Red Cross or Palang Merah Indonesia (PMI) is a must and absolute for institutions that organize the procurement and distribution of blood for medical purposes. The problem is that the blood stock in PMI Magelang City Branch is not ideally available in each blood type, especially blood type AB, which in recent years has been very minimal and difficult to obtain. The purpose of this study was to predict blood stock of type AB with software based on artificial neural networks backpropagation and Coherent tissues. Artificial Neural Network (JST) backpropagation is used to predict the stock supply of blood type AB. Meanwhile, Coherent is a network used to divide input patterns into groups. The application has a network structure consisting of 2 input neurons, 10 neurons in the hidden layer, and 1 and 1 neuron in the output layer. The total amount of data is 3 years (2015-2017), 2 years of data are used for training data, and 1 year of data is used for testing data. The engine predicts using a maximum iteration of 1,000 epochs, an expletive constant of 0.5, a momentum of 0.9, and a minimum error rate of 0.001. With variations in the value of the backpropagation component, a prediction of less than 140 bags per year is generated. Meanwhile, the resulting weight is predicted by the Coherent method and produces a prediction of the production of type AB blood stocks per month. Based on the results against 3 years of test data, the percentage of the system accuracy rate is 100%. The reduction of learning constants and the addition of training data systems may affect the accuracy of the system in making predictions.
Rancang Bangun Media Pembelajaran Berbasis Virtual Reality Dengan Pendekatan Metode Scrum

Learning media is a media that can be used by teachers to deliver learning materials to students. Learning media can be developed in the form of various activities, one of which is outbound activities. Outbound is a learning method carried out in the form of experiential learning through light game activities to hone intelligence and agility. In the digital world, outbound activities can be done with the help of Virtual Reality (VR) technology. VR is a computer technology that allows users to interact in a virtual world environment. With a few modifications, VR technology can be used to support play and learning activities. This research was conducted to develop a VR-based learning media called Edubound. The development of Edubound is carried out using the Scrum method. Based on the results obtained, the scrum method used in this study proved to be quite responsive and adaptive in handling user needs. On the other hand, the speed of developing Edubound learning media which is the main focus in this research can also be accommodated well by the Scrum method. In general, it can be concluded that the Scrum method can work well in the process of developing Edubound learning media.
Deteksi Kartu Tanda Mahasiswa UIN Pada Gambar dengan Feature Matching

UIN Walisongo's student identity card (KTM) does not have much function other than just for student identification. Even if the function is increased, it can be used for absenteeism at lectures, borrowing books, or double as an automated teller card (ATM). Doing absences using KTM requires a feature matching method for matching the intended KTM image with the KTM that is searched for in the student database. The feature matching process is based on feature detection in images using various methods such as ORB and Scale Invariant Feature Transform (SIFT). We can perform the feature matching method using the Brute-Force method and the Fast Library Approximated Nearest Neighbor (FLANN) on Google Colab with Python. The results of feature matching on the FLANN method are more than the Brute-Force method. The validation of the two image feature matching was carried out using the Root Mean Square Error (RMSE) method, resulting in an average value of 10.424. The purpose of this article is to detect student ID cards with matching features in the image. The FLANN and Brute-Force feature matching methods can be used to detect KTM UIN in images.&#x0D; Keywords: feature matching, SIFT, FLANN, Brute-Force, RMSE