Reviewerly/exHarmony huggingface dataset:
Algoritma K-Means Clustering dalam Memprediksi Penerima Bantuan Langsung Tunai (BLT) Dana Desa

Taluk Village, Lintau Buo Subdistrict, Tanah Datar Regency is one of the villages that carries out the distribution of the Village Fund Direct Cash Assistance (BLT-DD) program. This direct cash assistance is one of the government programs whose funds are sourced from village funds whose distribution is to the underprivileged or poor in order to overcome economic recovery for people affected by the pandemic. However, in the evaluation of its implementation in 2021 and 2022, many problems were found in its distribution, especially in determining this assistance to the recipient community. The problems that arise are caused by the occurrence in data processing that uses a direct determination system or mechanism in deliberation by the village government to determine the priority community as recipients of the many who propose as applicants to the nagari government to get this assistance. Besides that, there are also problems such as errors in recipient criteria and often this program is not targeted at the recipients. The K-Means Clustering method is very precise in implementing this BLT-DD beneficiary predictor, because this method is one of the methods used in data grouping as a reference in decision makers for clustering large amounts of data, and in the end it will cluster recipients based on 3 clusters, namely worthy, considered and unworthy. The purpose of this study was to predict the right target recipients of BLT-DD. The data processed is the data proposed by the recipients of the BLT-DD Taluk Village in 2022. Based on the results of data processing using PHP MYSQL Software, from a sample of 25 data, 11 data are produced which are included in cluster 1 with the status of the beneficiary being said to be feasible, 5 data that are classified as eligible. including cluster 2 with considered recipient status and as many as 9 data belonging to cluster 3 with unfit status. From the test results obtained an accuracy rate of 83.33 % so that it can be recommended to assist the government of the village guardian in making policies.
Prediksi Peserta Didik Baru untuk Mengoptimalkan Promosi Menggunakan Algoritma Monte Carlo

Telkom Elementary school of Padang is the digital-based school that utilizes advanced technology to elevate the quality of teaching, service, and evaluation. Digitalization is supposed to be provided with digital tools in which those are the most important things for the development of the school. This element is significantly beneficial for assisting the process of the school promotion in terms of students admission. To go further, the use of technology in this school has been incredibly beneficial for improving the promotion process of students admission. In the beginning of 2019, Telkom elementary school of Padang has been utilizing technology for obtaining the data of new students such as the information of registrants’ identity and payment process. Currently, Telkom Elementary school of Padang needs more evaluation towards its previous data that has been derived by digital tools in order to optimize the promotion process. Therefore, optimizing the promotion in students’ admission process becomes the main objective of this study. In order to achieve the goal, the data that used in this study is derived from school year off 2020-2021 and 2022-2023. The data consists of registration number, registration date, students name, and the name of the previous school that has been attended. Furthermore, Monte Carlo has been selected as the method used in this study. Based on the Monte Carlo test, there are 124 registrants predicted in the school year of 2021-2022 with the accuracy rate of 84%, 115 registrants for the school year of 2022-2023 with 81% of accuracy level, and 129 registrants predicted for the upcoming school year of 2023-2024. Thus, this research is able to be a reference for optimizing the promotion process in students admission of Telkom Elementary School of Padang.
TRANSFER TACIT KNOWLEDGE DALAM MENDUKUNG PENGEMBANGAN KARIER PROFESIONAL EDITOR DI LIPI PRESS

In general, the publishing industry is run by a staff of editors with non-specialist qualifications otherwise known as the "unintentional profession". Editors learn the skills to work 'on the job' (lesson learned) with more senior colleagues up to a certain time until deemed worthy and appropriate for promotion. Therefore, tacit knowledge plays an important role in supporting the editor's career in publishing. This study aims to answer the question of how the practice of transferring tacit knowledge is aimed at supporting the career development of editors at LIPI Press. Data collection was conducted in April-May 2021 using qualitative methods. Data was collected through a literature review, in-depth interviews with eight informants, and the active participation of researchers in observing document searches as a medium for lessons learned. The results show that most of the tacit knowledge transfer processes occur in editorial activities, which include socialization, externalization, combination, and internalization activities, both formally and informally. In this case, the greatest support felt by the editors was internalization in the form of knowledge sharing or flexibility in informal discussions, such as mentoring and coaching colleagues. In addition, this activity is also the most dominant or often carried out compared to other SECI stages, because the informal internalization process is felt to be more flexible and dynamic to exchange ideas, opinions, criticize, and understand a topic or problem being discussed. Finally, this study concludes that publishing activities based on knowledge of human resources require an adequate approach to understanding the social and strategic aspects of organizations so that they can support individual achievement and collaborative excellence, namely the transfer of knowledge, access to resources, and capabilities complete each other.
A Systematic Review of Students’ Digital Literacy Ability Towards German Cross-Cultural Understanding

This study describes the relationship between digital literacy skills and students’ German cross-cultural understanding. The respondents of this study were 145 students of the German Department Universitas Negeri Malang. The data collection instrument was a questionnaire with a Likert scale and a test to German cross-cultural understanding. Data were analyzed by descriptive statistics with Pearson’s Product moment correlation analysis. The results of the data analysis showed a significance value of 0.148. This value is above 0.05. Based on this data, the research rejects H1, which means that students’ digital literacy skills, including technical skills, critical understanding, and communicative abilities, are not significantly correlated with students’ German cross-cultural understanding.
ESENSI PROKRASTINASI FUNGSIONAL MEMBENTUK INFORMATION LITERACY SELF-EFFICACY MAHASISWA TINGKAT AKHIR PROGRAM STUDI ILMU PERPUSTAKAAN DI INDONESIA

The process of writing a thesis for final year students of the library science study program provides a new platform for developing the ability to manage information to become new knowledge.It is often mentioned that writing a thesis presents its own challenges for students at every stage.The emergence of functional procrastination activity is no exception.The purpose of this study is to describe the essence of functional procrastination activities in the thesis writing process, both individually and in groups.The research method used is descriptive with a qualitative approach involving library science students from two universities as informants.The results showed that functional procrastination activity is an unavoidable but can be minimized part.This condition occurs because students have difficulty in analyzing and determining information based on their information needs.In general, functional procrastination activities have a positive essence on perfecting the results of the thesis, but it should be understood that these conditions need to be minimized considering the limited processing time and the expiration duration of the data held.In addition, the results of the study also found that a series of processes for completing thesis writing by students is a platform for developing information literacy self-efficacy.
Research on the Effectiveness of Students’ Communicative Competence Formation

The formation of communicative competence among university students is becoming especially relevant in the uncertain and changeable world. In the study, competencies of a general nature are called invariant by the theory of the structure of the content of education, developed by Academician V. S. Lednev. The paper focuses on the effectiveness of the formation of students’ invariant communicative competence in a non￾traditional form of education - joint training of Russian and international students. The results of the study show that co-education of Russian and foreign students contributes to the development of their invariant communicative competencies better than traditional education. The novelty of the research is the formation of students’ invariant communicative competence occurs in conditions different from traditional teaching. Namely, it occurs in the process of joint training of Russian students with foreign citizens. Research materials can be used in the work of higher educational institutions.
Implementation of Management Information Systems to Enhance Educational Quality

The context for this study is that people continue to have negative perceptions of the quality of education services. As a result, efforts must be made to improve the quality of educational services. The implementation of an IT-based Management Information System is projected to aid in the improvement of educational services. The goal of this study is to be able to implement a school management information system in order to eliminate the hurdles encountered so that the process of implementing a school management information system in order to improve the quality of education services can be carried out effectively. This study employs a descriptive method with a qualitative approach. The study's resource people included school administrators, teachers, TU heads, operators, students, parents, and members of the community. Schools can provide speedier and more effective educational services to service consumers by implementing a management information system. The findings revealed that the school information system used was evaluated in terms of goals (goals), inputs (inputs), processes (processes), and outputs (outputs), which could aid in the implementation of school management information systems in improving the quality of education services at SMP Negeri 11 Lhokseumawe. Both in terms of people resources, facilities, and infrastructure, as well as financial resources. Meanwhile, for the management of teacher data, student data, sarpras data, student education fee payment data, and attendance system, human resource knowledge, HR goals and priorities, student availability, school management support, the existence of structures and schedules, and the implementation of educator content and capabilities are all carried out.
Fox in the henhouse: The delegation of regulatory and privacy enforcement to big tech

Abstract The Federal Trade Commission (FTC) requires tech giants to identify and remove apps from their platforms that use deceitful sales tactics or violate user privacy. Tech giants have often resisted FTC orders because policing diminishes their profits. But while some firms have eventually complied with FTC demands, other firms have continued to shirk enforcement at the risk of escalating fines. What accounts for these different responses? Examining Apple, Google and Facebook, we find that tech giants willingly police consumer fraud but not consumer privacy violations. Failures to police fraud have led to public complaints and negative press attention, while failures to police data breaches often go undetected by users, the media and thus the FTC. We conclude that tech giants can act as effective regulatory agents on the government's behalf, but only when they police activities they cannot conceal.
Konsep Dasar Pengelolaan Kelas dalam Tinjauan Psikologi Manajemen

Improving the quality of education is determined by the implementation of education management standards. An important factor for the success of learning is decided by the teacher's insight into classroom management. Library research is used to find answers to a problem by carrying out some activities to collect, process, and conclude data. Based on the data in this study, it was concluded that the objectives of classroom management: 1) to create conducive classroom situations and conditions, 2) to eliminate obstacles in teaching and learning interactions, 3) to provide and manage learning facilities, 4) to foster and to guide according to individual characteristics. There are three components in classroom management, namely: physical conditions, socio-emotional conditions, and organizational conditions. Actions that need to be taken in managing the class are preventive actions, corrective actions, and curative actions.
Cultural Composition of the Muroma Based on the Study of the Pottery Traditions

Purpose. To reveal the cultural composition of the Muroma tribe at different stages of its history, two aspects of research of the pottery were included: the traditions of making specific shapes and preparation of pottery paste. Results. Analysis of the shapes of 679 vessels from the Muroma burial grounds allowed us to distinguish three traditions of shaping. The first shape dominates at the early and middle stages and represents the original cultural core of the Muroma. The second shape marks the spread of the population of another culture in the Muroma area. The analysis of the pottery pastes of 137 vessels from Podbolotevo burial ground has shown that Muroma pottery developed as a result of contacts between potters with different skills, such as tempering clay (C) with crushed rock (CR) and chamotte (Ch). For Muroma of a middle stage such mixed recipe of pottery paste as C + CR + Ch + Org is typical. At the later stage, the tradition of C + Ch + Org begins to dominate in the Muroma, and the addition of crushed rock almost disappears. A comparison of the data on the shapes of the vessels and the pottery pastes from which they were made distinguished a connection between the first shape tradition and the C + CR + Ch + Org recipe, and the second tradition – with the C + Ch + Org recipe. Conclusion. Both aspects of pottery technology allow reconstruct a whole picture of a quick change in the Muroma cultural composition at the late stage. This change was associated with the influx of the new population.
Interactive Design of Business English Learning Resources Based on EDIPT Multimodal Model

Aiming at the problem that online video learning resources of business English are scattered and the learners are inefficient in acquiring learning resources, this paper designed a business English learning system based on the EDIPT model. In addition, aiming at the problem of multifeature fusion between low-level features and high-level semantic features in video scenes, this paper proposes a multi-modal video scene segmentation algorithm based on a deep network. By minimizing the square sum of distances in the time period, the shots are clustered, and finally, the semantic scene is obtained. The experimental results show that the algorithm has good performance in classification accuracy and can effectively segment video scenes, which is helpful for users to improve their comprehensive business English skills.
An Evolutionary, Gradient-Free, Query-Efficient, Black-Box Algorithm for Generating Adversarial Instances in Deep Networks

Deep neural networks (DNNs) are sensitive to adversarial data in a variety of scenarios, including the black-box scenario, where the attacker is only allowed to query the trained model and receive an output. Existing black-box methods for creating adversarial instances are costly, often using gradient estimation or training a replacement network. This paper introduces \textbf{Qu}ery-Efficient \textbf{E}volutiona\textbf{ry} \textbf{Attack}, \textit{QuEry Attack}, an untargeted, score-based, black-box attack. QuEry Attack is based on a novel objective function that can be used in gradient-free optimization problems. The attack only requires access to the output logits of the classifier and is thus not affected by gradient masking. No additional information is needed, rendering our method more suitable to real-life situations. We test its performance with three different state-of-the-art models -- Inception-v3, ResNet-50, and VGG-16-BN -- against three benchmark datasets: MNIST, CIFAR10 and ImageNet. Furthermore, we evaluate QuEry Attack's performance on non-differential transformation defenses and state-of-the-art robust models. Our results demonstrate the superior performance of QuEry Attack, both in terms of accuracy score and query efficiency.
Sistem Pendukung Keputusan Cerdas Menggunakan Metode Ant Colont Optimization (ACO) untuk Pencarian Jalur Optimum Rantai Pasok Bioenergi Berbasis Kelapa Sawit

The concept of supply chain management in business activities is very necessary. This concept involves more than one type of company. One of the businesses that requires this concept is palm oil-based bioenergy management. The optimal path in the supply chain network is very difficult, because the product supply chain network is perishable. For that we need an intelligent decision support system model in the search for the optimal path. The purpose of this study is to determine the optimum value and to find the optimum path of the palm oil-based bioenergy supply chain. The method used in the development of the model is the ant colony optimization method, namely the shortest path method. The data processed is the distance and time of supply. The optimal path search result is 0.035. So that this research becomes a reference in determining the optimal path.
Medical Image Enhancement using Deep Learning

Image Enhancement is one of many vital and complicated techniques in medical image processing. The main aim of image enhancement is to boost the visual appearance of an image, or to offer a “better rework'' illustration of the image. Numerous types of images like medical images from totally different issues like poor distinction and noise. To enhance the contrast of an image and remove the noise is necessary to maintain image quality. X-ray and ultrasound imaging are the most preferred medical imaging technologies which are important for diagnosis of disease, but the edges and borders of the images are not as clear as expected due to interference and low intensity in images. Speckle noise is the main reason behind the degradation of quality in ultrasound images. It is mandatory to remove this noise to get better images. Several techniques have already been projected and devised for enhancing the digital images. Deep learning algorithms, particularly convolutional networks, have speedily become a strategy of selection for analyzing medical images. The main aim of this paper is to provide an overview of different techniques used in medical image enhancement and how deep learning provides the better solution for enhancement.
Tourist Geographic Information System in Baturaden

As the largest archipelago country in the world, Indonesia has many tourist attractions. One of the tours in Indonesia is tourism in the Baturaden area. To increase tourism promotion and management, a supporting application is needed, one of which is by using WebGIS. This WebGIS application is then used as a medium for spatial information for mapping tourism in Baturaden. The method used in this research is to use the Agile model development method using BlackBox testing. The results of this study are in the form of a WebGIS application prototype for tourism mapping in Baturaden, which is declared valid using BlackBox testing. As the largest archipelago country in the world, Indonesia has many tourist attractions. One of the tours in Indonesia is tourism in the Baturaden area. To increase tourism promotion and management, a supporting application is needed, one of which is by using WebGIS. This WebGIS application is then used as a medium for spatial information for mapping tourism in Baturaden. The method used in this research is to use the Agile model development method using BlackBox testing. The results of this study are in the form of a WebGIS application prototype for tourism mapping in Baturaden, which is declared valid using BlackBox testing.
Penerapan X Means Clustering Pada UMKM Kab Banyumas Yang Mendukung Mega Shifting Consumer Behavior Akibat Covid-19

The Covid-19 has become a epidemic that is troubling the public because of the extent and speed of the virus spreading. The Covid-19 has resulted in people being unable to move outside their homes freely so that household consumption has decreased. This condition is similar to the crisis in 1997-1998, where MSMEs and small traders could survive. In Banyumas district, the percentage of MSMEs are in the large, medium, and small groups that can support the habit of Mega Shifting, or businesses that can be done at home so that they can be an economic savior in the covid-19. Clustering is a method of grouping similar objects which are taken from several criteria. X-Means is a grouping method that can be used to effectively calculate the value of K. As for testing the quality of a cluster using the Purity test method, it is said to be "Good" if the results of this Purity are close to 1. The total of MSMEs in the Banyumas district which be grouped is 27,574 MSMEs. The purity based on the results of the cluster is 0.9892 (3 groups), 0.9894 (4 groups), 0.9928 (5 groups), and 0.9677 (6 groups). In 3 groups, the results of grouping are 58 MSMEs belong to large groups, 381 MSMEs belong to medium groups, and 26,602 MSMEs belong to small groups. The recommended MSMEs sectors to face mega shifting are food stalls, culinary, agriculture, snacks, traders, craftsmen, workshops, furniture, constructions, and grocery stores.
Pengelompokkan Jenis Minyak Mentah Menggunakan Metode X-Means Clustering

The price of crude oil in Indonesia is still very volatile it cause of strongly influenced by the demand and supply mechanism. The other factor is the fundamental factor, the non-fundamental factor, and the influence and policy of OPEC factor. Refined petroleum is indispensable in life, used for various human purposes for fuels such as gasoline and kerosene, asphalt, and some of the chemical reagents used to make plastics and medicines. These crude oil prices Information in Indonesia are open and officially published by the Ministry of Energy and Mineral Resources website from 2017 until now. That information is about the monthly prices of several major oil refineries in Indonesia. There is no information about the resume of price fluctuations in one oil refinery, and there is no information on the grouping of oil refineries based on the selling price of the refinery. This study aims to group crude oil price categories in Indonesia using the x-means method. This study is one of the efforts to provide general information about crudes oil price clusters based on major refineries in Indonesia to the public. The results showed that the grouping types of crude oil prices throughout 2020 with the X-Means method contained four optimal clusters with the highest price characteristic being the type of crude oil which is cluster 1, then cluster 0, cluster 3, and the last is cluster 2.