Reviewerly/exHarmony huggingface dataset:
Students' Perception of Problems in Speaking English at a Vocational High School in Cirebon

This research is aimed at studying the student’s problems in speaking at 11th grade of vocational high school. The research object is only centered on the learning process, while the subject of this research is an English students' at the school. During the learning activities carried out in 2 observations and 4 meetings were conducted. Observe the students' of applying learning process in the speaking class. Data collection techniques include questionnaire and interviews. On the preliminary researcher observed the students' learning process and then proceeded to the next meeting. Based on the data obtained from the observation, it can be seen that there are still many students who have problems when learning to speak English in class. The results of the interview show that after distributing questionnaire, and conducting interview, the researcher found that the 11th grade had many problems on speaking. The main factors of students’ problems because the environmental factors which do not support them to use English in their daily communication. This factor also have a big effect for students that they lack of motivation and seldom to practice English.
New chaos-integrated improved grey wolf optimization based models for automatic detection of depression in online social media and networks

Depression is a psychological effect of the modern lifestyle on people’s thoughts. It is a serious individual and social health problem due to the risk of suicide and loss of workforce, high chronicity, recurrence rates, and prevalence. Therefore, identification, prevention, treatment of depression, and determination of relapse risk factors are of great importance. Depression has traditionally been diagnosed using standardized scales that require clinical diagnoses or patients’ subjective responses. However, these classical techniques have some limitations such as cost, uncomfortability, subjectivity, and ineffectiveness. Social media data can be simply and efficiently used for depression detection because it allows instantaneous emotional expression and quick access to various information. Some machine learning-based methods are used for detecting the depression in online social media and networks. Nevertheless, these algorithms suffer from several drawbacks, including data sparsity, dimension explosion, restricted capacity for generalization, and low performance on imbalanced data sets. Furthermore, many machine learning methods work as black-box models, and the constructed depression detection models are not interpretable and explainable. Intelligent metaheuristic optimization algorithms are widely used for different types of complex real-world problems due to their simplicity and high performance. It is aimed to remove the limitations of studies on this problem by increasing the success rate and automatically selecting the relevant features and integrating the explainability. In this study, new chaos-integrated multi-objective optimization algorithms are proposed to increase efficiency. New improved Grey Wolf Optimization algorithms have been proposed by integrating Circle, Logistic, and Iterative chaotic maps into the improved Grey Wolf Optimization algorithm. It is aimed to increase the success rate by proposing a multi-objective fitness function that can optimize the accuracy and the number of features simultaneously. The proposed algorithms are compared with different types of popular supervised machine learning algorithms and current metaheuristic algorithms that are widely and successfully used in depression detection problems. Experimental results show that the proposed models outperform machine learning methods, as evidenced by examining results with accuracy, F-measure, MCC, sensitivity, and precision measures. An accuracy value of 100% was obtained from proposed algorithms. In addition, when the confusion matrices are examined, it is seen that they exhibit a successful distribution. Although it is a new research and application area for optimization theory, promising results have been obtained from the proposed models.
Towards multi-qudit quantum processor using superconducting RF cavities

Superconducting radio-frequency (SRF) cavities made using high-purity Niobium can reach single photon lifetimes longer than a second with proper treatment [1]. These resonator cavities are thus an excellent choice for storing higher-dimensional quantum states. However, preparing and manipulating quantum states with larger photon numbers require a nonlinear component, like a transmon, with a sufficiently long coherence time. With the advancement in materials processing enabling coherence times for transmons exceeding hundreds of micro-seconds, one can encode and process quantum information using d-levels (qudit) of the resonators. In this talk, we will present preliminary results showing the control of a single-qudit and our progress toward building multi-qudit architecture using multi-mode SRF cavities.
Utilization of the Canva application on the Belajar.Id site as a learning media at SMK Bina Nusa Mandiri Jakarta

This study aims to discover the use of the Canva Education Application as a learning medium accessed through web learning. id for teachers at SMK Bina Nusa Mandiri Jakarta. This research is a type of qualitative research with a literature study approach. Literature study qualitative research consists of 4 stages: making interview instruments, looking for reading material, recording, and analyzing research material obtained. The results of interviews conducted with teachers at SMK Bina Nusa Mandiri show that the Canva Education application is handy because it can help teachers create engaging learning media for students. The Canva Education application has various features teachers can use to create learning media, such as PPTs, learning videos, infographics, etc. The research results show that the Education Canva Application facilitated by the Ministry of Education and Culture allows teachers at Bina N`usa Mandiri Vocational School to create learning media using only the learn quickly. Id website and can already get the Canva Application for free. The meaning of using the Canva application on learning.id website for history teachers at Bina Nusa Mandiri Vocational School is to be an exciting learning medium because history lessons are famous for lessons that only focus on books. The Canva application learning media has various templates and can also be used to make history-learning videos look interesting. The Canva App can vary in history lessons.
Temporal visuomotor synchrony induces embodiment towards an avatar with biomechanically impossible arm movements

Visuomotor synchrony in time and space induces a sense of embodiment towards virtual bodies experienced in first-person view using Virtual Reality (VR). Here, we investigated whether temporal visuomotor synchrony affects avatar embodiment even when the movements of the virtual arms are spatially altered from those of the user in a non-human-like manner. In a within-subjects design VR experiment, participants performed a reaching task controlling an avatar whose lower arms bent in inversed and biomechanically impossible directions from the elbow joints. They performed the reaching task using this “unnatural avatar” as well as a “natural avatar,” whose arm movements and positions spatially matched the user. The reaching tasks were performed with and without a one second delay between the real and virtual movements. While the senses of body ownership and agency towards the unnatural avatar were significantly lower compared to those towards the natural avatar, temporal visuomotor synchrony did significantly increase the sense of embodiment towards the unnatural avatar as well as the natural avatar. These results suggest that temporal visuomotor synchrony is crucial for inducing embodiment even when the spatial match between the real and virtual limbs is disrupted with movements outside the pre-existing cognitive representations of the human body.
THE USE OF DUOLINGO APPLICATION TO INCREASE STUDENTS’ VOCABULARY MASTERY

This study’s objective is to find out if the Duolingo Application could aids students to improve their vocabulary mastery especially adjective. This research is quantitative and using pre-test and post-test design through a written test. The subject of this study were 31 students from SMP Negeri 1 Manganitu class 8 B. According to the data obtained, the mean Pre-Test score is 43,32, with the greatest Pre-Test score is 83 and the lowest is 10, and the highest Post-Test score is 97 and the lowest is 63, and the Post-Test’s average score is 79.80. Significant improvements can be noted in this data, and it can be concluded that the use of duolingo application successful for increase students’ vocabulary mastery
State Machine Operation of Complex Systems

SQMS, affiliated with Fermilab, is one of five research centers funded by the DOE dedicated to the development and deployment of advanced quantum computers and sensors. The objective of our research was to devise an experimental design for quantum transduction, with the aim of facilitating the development of a distributed quantum network to connect quantum computers over large distances.
Advances in SRF cavity architectures for quantum computing

Superconducting radio frequency (SRF) cavities offer an excellent platform for storing and processing quantum information due to their exceptionally long lifetimes and large accessible Hilbert spaces. A common strategy to manipulate the quantum states is to use a nonlinear element like a transmon. Nevertheless, constructing a 3D SRF architecture with sustained cavity lifetimes presents several challenges. In this talk, we present our successful integration of transmons with single-cell Nb SRF cavities, enabling the preparation of several non-classical states. Preliminary results reveal the potential of this platform to build a qudit-based quantum computer, departing from traditional qubit-based architectures. We discuss strategies to enhance coherence times, develop high-fidelity gate schemes, and expand the system for constructing a multi-qudit quantum processor. Furthermore, we explore how this architecture can bolster dark matter detection efficiency through multi-photon quantum state preparation.
Artificial Intelligence Competencies in Logistics Management: An Empirical Insight from Bahrain

This research seeks to examine the artificial intelligence (AI) competencies in logistics management by reviewing its capabilities, challenges and benefits. To increase the use of AI in logistics management, this study addresses the issues of the current technology in AI adoption in logistics management. This goal was accomplished using a systematic methodology. First, a detailed review was conducted to look at the advantages, challenges and current AI competencies. Using a survey instrument and a simple random sampling technique, the required data was collected from 44 businesses which effectively use AI in their logistical operations. The collected data gave insightful information on how AI is currently being used in logistics management. The outcome of this study shows that AI significantly affects logistics management. The study reveals notable competencies, significant challenges and major advantages of AI in managing logistics activities through the systematic analysis and synthesis of the obtained data. These findings demonstrate how AI has the potential to improve operational effectiveness, resource allocation, decision-making processes and supply chain operations in logistics management. A potential recommendation is to establish strategies and guidelines for efficient implementation and integration of AI technologies in logistics management based on the observed technology gap and the research’s findings. This will minimise the current gap and optimise the advantages of the industry’s use of AI, resulting in higher performance, cost savings and increased competitiveness for logistics business organisations.
Visadapt: Catadioptric adaptive camera for scenes of variable density of visual information

This paper presents the design method of a multi-resolution camera, named Visadapt . It is made of a conventional compact camera with a sensor and a lens pointed to a new deformable mirror so that the mirror in a flat state is parallel to the image plane. The main novelty of the latter mirror, to our knowledge, is the ability to control automatically strokes of several millimeters. This allows Visadapt to capture scenes with a spatially variable density of visual information. A grid of linear actuators, set underneath the mirror surface, deforms the mirror to reach the desired shape computed to capture several areas of different resolutions. Mechanical simulations are allowed to iterate on Visadapt’s design, to reduce the geometrical distortions in the images. Evaluations made on an actual prototype of Visadapt show that, by adapting the mirror shape, this camera can magnify a scene object up to 20%, even off-centered in the field-of-view, while still perceiving the rest of the scene.
BANTUAN IMPLEMENTASI SOFTWARE AKUNTANSI BAGI KARYAWAN MGK

The development of Financial Accounting Standards (SAK) is a framework in the procedure for preparing financial reports so that there is uniformity in the presentation of financial reports. SAK also functions to make it easier for auditors and readers of financial statements to understand and compare the financial statements of different entities, and continue their understanding of knowledge about accounting software that has been given training in the previous semester. The problem faced by MGK is that the results of processing its financial reports are less integrated. The results obtained from this activity are that MGK can use accounting software and produce financial reports that are more accurate and reliable according to Financial Accounting Standards (SAK). so that information from financial reports is less reliable and not timely. In this activity, we provide training assistance and assistance with accounting software implementation.
PELATIHAN AKUNTANSI PERSEDIAAN DAN PERHITUNGAN HARGA POKOK PERSEDIAAN DI PANTI ASUHAN ASIH LESTARI

The background of this PKM begins with the awareness of the importance of inventory accounting knowledge and the calculation of Cost of Goods Sold, considering that technological developments rely heavily on computer applications which often produce wrong outputs due to data input errors (Garbage In Garbage Out). Students at the Asih Lestari orphanage need this training in order to face the business world after graduating from high school.This PKM was carried out referring to letter no.004/YPA.AL/SK/II/2023 which was signed by the leadership of the Asih Lestari orphanage on Jl. Gardu no.1, Salembaran Jati, West Kosambi, Tangerang 152123. The aim of this PKM is expected to provide training in inventory accounting and HPP calculations to equip students when they enter the business world one day. This PKM activity was carried out on Monday 1 May 2023 at 08.00 – 13.00. The method used in this PKM is with tutorials and evaluation through short quizzes and questionnaires. The mandatory outputs of this PKM were presented in SERINA VI 2023. The results of this PKM were felt to be useful by students as seen from the results of the evaluation questionnaire which agreed and strongly agreed that 73% felt this material was really needed for learning in schools, 80% felt this material was needed for doing business in future, 66.66% stated that this material is interesting to study further. From the results of the questionnaire it was also seen that there was an increase in understanding of the material before and after the training and there was an increase in interest in the training material after the training. The conclusion of this PKM has been well implemented considering that the students of the Asih Lestari orphanage have become more understanding and more interested in this material.
RANCANGAN USER INTERFACE APLIKASI MOBILE SEBAGAI ALAT BANTU KOMUNIKASI VISUAL ANAK AUTISTIK UNTUK ICT WATCH

ICT Watch as a community organization that focuses on collaborative building the capacity of Indonesian human resources for digital literacy knowledge and skills, online expression and cyber governance, has started its movement since 2002. ICT Watch works together with academics from LSPR Jakarta, Center for ASEAN Autism Research, UMN, Code Margonda, and KREAVI have developed a mobile application called VICARA (Visually Interactive Communication and Reading Aid) for autistic children. However, because there was no update, the application was taken down from the Apple Store and Google Play Store. Based on the evaluation results that have been carried out on the use of the VICARA application, ICT Watch intends to redesign and add updates and features to the VICARA application. The solution offered is the development of a user interface (UI) design for the VICARA application.
WEBSITE PROMOSI UNTUK INTENSIVE EDU

Intensive Edu is a non formal education institution located in Modernhill, Pondok Cabe, South Tangerang. Intensive Edu provides private courses or lessons, especially Cambridge Lessons and Mandarin for elementary/junior high school students. Currently, Intensive Edu is promoting through social media Instagram and Whatsapp, as well as word of mouth. With the increasing number of students taking tutoring at Intensive Edu, the need for digital promotions is urgently needed. One of the media that will be used for promotion is using a website. Intensive Edu hopes to have a website that will be used to promote the tutoring program offered and attract more students. Therefore, the community service implementation team (PKM) consisting of lecturers and students from the Tarumanagara University Information Systems Study Program and Computer Science, offered to design and create a website for Intensive Edu. Website prototype is developed using WordPress website builder which supports HTML (HyperText Markup Language), PHP (Hypertext Preprocessor), CSS (Cascading Style Sheets), and MySQL as a database. The website for Intensive Edu is hosted on the Internet at https://intensive-edu.com/.&#x0D; Intensive Edu merupakan lembaga pendidikan yang berlokasi di Perumahan Modernhill, Pondok Cabe, Tangerang Selatan. Intensive Edu memberikan kursus atau les privat, terutama Cambridge Lesson dan bahasa Mandarin untuk siswa-siswi SD/SMP. Saat ini, Intensive Edu melakukan promosi melalui media sosial Instagram dan Whatsapp, serta mulut ke mulut (word of mouth). Dengan semakin bertambahnya jumlah siswa yang les di Intensive Edu, kebutuhan untuk melakukan promosi secara digital sangat diperlukan. Salah satu media yang akan digunakan untuk melakukan promosi adalah menggunakan website. Intensive Edu berharap dapat mempunyai sebuah website yang akan digunakan untuk melakukan promosi program les yang ditawarkan dan menjaring jumlah siswa lebih banyak. Oleh karena itu, tim pelaksana kegiatan pengabdian kepada masyarakat (PKM) yang terdiri dari dosen dan mahasiswa dari Program Studi Sistem Informasi dan Informatika Universitas Tarumanagara menawarkan perancangan dan pembuatan website untuk Intensive Edu. Prototipe website dibuat dengan menggunakan website builder Wordpress yang mendukung bahasa pemrograman HTML (HyperText Markup Language), PHP (Hypertext Preprocessor), CSS (Cascading Style Sheets), dan MySQL sebagai basis data. Website untuk Intensive Edu sudah di-hosting di Internet dengan alamat https://intensive-edu.com/.
Improving the Quality of Higher Education as the Main Direction of Strategic Development of Higher Education Institutions

Higher education in today’s economy plays an important and integral role in all aspects of social development. Its importance lies in the formation of highly qualified personnel, the development of innovations, the support of scientific research and the increase of the country’s competitiveness. Higher education provides an opportunity for students to acquire specialized knowledge and skills that they can be used in economics. Qualified graduates contribute to increased labor productivity and the creation of innovative products and services, which fosters economic growth. In addition, universities are important centers of scientific research that produce new knowledge and technologies that affect the development of the economy. They contribute to the commercialization of innovation and the creation of startups. Overall, higher education is a key to creating a knowledge-based economy that is becoming dominant in the modern era. Therefore, investment in higher education should be considered as a strategic step for sustainable economic development and improving the quality of life of citizens. Improving the quality of higher education is a necessary and urgent task in the modern world for a number of key reasons. High-quality higher education forms a highly skilled workforce that meets the needs of the labor market. Changes in the economy and technology require new skills and knowledge, and only higher education can ensure their acquisition. Higher education stimulates research and innovation, which supports a country’s economic development and competitiveness in a global context. Higher education also contributes to the development of critical thinking, creativity and civic engagement, being important aspects of the formation of civil society and democratic governance. Quality education increases the level of social equality by providing equal educational opportunities for different social groups. All these aspects verify the importance and necessity of improving the quality of higher education as a pivotal factor for the development of society, increasing the efficiency of the economy and preparing citizens for the challenges of the modern world. Improving the quality of higher education is important for ensuring competitiveness, developing innovations, supporting research and preparing citizens for global challenges, ensuring the sustainability of society’s development.
ULMFiT Embedding(s) for Context and Extended Gloss Intersection for Marathi Word Sense Disambiguation

Ambiguities in the word meanings makes all the natural language processing (NLP) tasks very difficult, word sense disambiguation (WSD) is used to resolve these ambiguities. Now a day’s NLP-based human assistive systems are in demand, in which machines are expected to resolve word sense ambiguities. Today, due to the availability of machine readable dictionaries knowledge-based WSD approaches have become popular; it explores semantic relations between the contextual features and possible glosses of the given ambiguous word. Inductive transfer learning-based language models have great potential to represent the different semantic features of the word, which can be used in various NLP tasks. Universal language model fine-tuning for text classification (ULMFiT) is a popular transfer learning model used to embed various semantic features in digitally resource scare and morphologically rich language like marathi. In this reported work, the ambiguous words from the Marathi input sentence is extracted and have obtained its possible synset and glosses from IndoWordNet, these glosses are then extended using hypernym and hyponym relations. We have obtained the word embedding of marathi context and extended glosses using ULMFiT model. For the test run, we have crafted the test-bed of 6000 marathi sentences of 280 moderately ambiguous words harvested from marathi websites, which caters for 1200 senses. The winner sense is declared based on the maximum intersection score between the pair of context and gloss embedding. We have obtained the average accuracy up to 57.10% for our dataset.