bluuebunny/crossref_metadata_2025 huggingface dataset:
Development of a mobile learning network for science with augmented reality and its impact on students’ literacy and numeracy
Authors: Cahyana Ucu , Lestari Ika , Irwanto Irwanto , Suroso JarotSembodo
Published: February 2024

The aim of the current research is to develop the Mobile Learning Network for Science application with Augmented Reality (MLNFS-AR) application on the topic of atomic structure and chemical equilibrium. The study was conducted in four public schools in Jakarta, Indonesia. The Borg and Gall development cycle was adopted in this study, including preliminary research, planning and developing learning media, and validation, evaluation, and revision. Regarding the assessment results from media experts, the mobile learning application was declared very feasible with a percentage of 91.7% for the topic of atomic structure and 87.2% for the topic of chemical equilibrium. The results of the material and language feasibility assessments were 81.6% for the topic of atomic structure and 82.3% for the topic of chemical equilibrium. The results of the media assessments for students were 92.9% for the topic of atomic structure and 89.9% for the topic of chemical equilibrium. The results of the media assessment by chemistry teachers were 97.1% for the topic of atomic structure and 94.7% for the topic of chemical equilibrium. Overall, this mobile learning medium is categorized as very feasible to use as a learning support medium. In addition, the MLNFS-AR app is effective in improving student literacy and numeracy. In sum, the mobile learning app, MLNFS-AR, can be used as a flexible learning medium, can be used anytime and anywhere, and makes it easier for students to learn chemistry.
FAKTOR-FAKTOR YANG MEMPENGARUHI TERJADINYA DERMATITIS DI DESA BARU KECAMATAN SUNGAI RAYA KABUPATEN HULU SUNGAI SELATAN
Authors: Raziansyah Raziansyah , Rahmatika Gina
Published: February 2024

Peradangan kulit baik epidermis maupun dermis yang disebut dengan dermatitis sebagai respon terhadap pengaruh faktor eksogen dan endogen yang menimbulkan kelainan klinis berupa efloresensi polimorfik dan ditandai oleh rasa gatal dapat berupa penebalan atau bintil kemerahan, multipel mengelompok atau tersebar, kadang bersisik, berair dan lainnya. Tujuan Penelitian ini  adalah untuk mengetahui   faktor-faktor yang mempengaruhi terjadinya dermatitis di Desa Baru Kecamatan Sungai Raya Kabupaten Hulu Sungai Selatan. Metode observasional deskriptif, dengan populasi 118 orang yang mengalami penyakit Dermatitis. Jumlah sampel menggunakan  Quota Sampling sebanyak 100 orang penderita dermatitis. Instrumen penelitian menggunakan kuesioner. Hasil peneltian pada faktor yang mempengaruhi sebanyak 60% katagori rendah dan 40% katagori tinggi. Faktor Eksogen berada pada kategori rendah 76% dan tinggi 24%. Faktor Endogen berada pada katagori kategori Tinggi 65% dan rendah 35%. Melihat hasil penelitian ini diharapkan dapat memberikan motivasi positif dalam pelayanan kesehatan dan lebih memperhatkan pendidikan kesehatan baik berupa penyuluhan-penyluhan, simulasi-smulas ataupun bentuk lainnya serta dapat memberikan pelayanan yang prima kepada pasien dengan dermatitis.
Massage Therapy Research: A Narrative Review
Authors: Field, Tiffany
Published: February 2024

This narrative review on the massage therapy literature from the years 2020 to 2023 includes 49 studies. Many of these are focused on massage reducing prenatal depression and anxiety, increasing brain maturation in preterm neonates and on reducing jaundice in full-term newborns. Pediatric massage research has been focused on cerebral palsy and adult research on arthritis pain. Studies on older adults include the reduction of anxiety and depression in victims of stroke, Parkinson’s and Alzheimer’s. Other studies found positive effects of self-massage as well as couples’ massage that suggests that both the massager and “massagee” experience reduced stress. Surprisingly, most of the entries in the literature have been proposed protocols for studies and only one has involved potential underlying mechanisms for the positive effects of massage therapy.
LUXEMBOURG: Management of the COVID-19 Crisis Affected by Geographical and Demographic Particularities
Authors: HASTERT Marc
Published: February 2024

The Grand Duchy of Luxembourg is a small country with a surface area of 65.401 km2, situated between Belgium, France and Germany. The country has just over 630.000 inhabitants who are fluent in several languages: Lëtzebuergesch, French, German, English for the most part and Portuguese by Portuguese immigrants representing approximately 17% of the population.
“They Steal it from the Sultan’s Pharmacy.” Pharmaceuticals and Medicines in Early Modern Transylvania
Authors:   Institutul de Istorie „Nicolae Iorga”, Academia Română, București, Pakucs-Willcocks Mária
Published: February 2024

This article examines the trade in drugs and chemicals in early modern Transylvania through various primary sources. In the first section I discuss how the correspondence of Transylvanian envoys at the Ottoman court with the Transylvanian elites suggest that certain healing products were in high demand in Transylvania. In contrast to these purchases of medicines and drugs on command, the sixteenth–seventeenth‑century rate lists, customs tarriffs, and the customs registers of Cluj and Sibiu reveal the dynamics of the trade in chemicals and drugs from Vienna or the Ottoman Empire. In the seventeenth century, the imports of these goods became more diversified.
Libro di me, Gio Batta Gussetti. The Tale of a Man through the Story of a Book
Authors:   Muzeul Național de Istorie a Transilvaniei, Cluj-Napoca, Gruiță-Savu Ioana
Published: February 2024

As a museographer or museum curator, there is often great professional satisfaction in finding the stories behind the fascinating objects preserved in museum collections. These objects not only have remarkable aesthetic qualities but also reflect incredible life stories. This study focuses on examining a book part of the History of Pharmacy Collection in the National Museum of Transylvanian History. Apart from its age, being published in 1596, our attention was drawn to the texts inscribed on the cover and pages of the book.
The repeated annotations of a man from the seventeenth century, Giovanni Battista Gussetti, declaring his ownership over this book aroused our curiosity. The article seeks to understand the book’s significance in the life of Gussetti and decipher what these inscriptions disclose about the owner and the historical context in which he lived.
The research has been very rewarding, revealing a whole micro‑universe in which Gussetti, the owner, played his part. Throughout the following pages, we aim to provide a concise overview of the history of the pharmaceutical book collection and introduce the background of this particular book. We intend to explore some possibilities of identification of Giovanni Battista Gussetti, as far as our research has allowed, and the historical context of his activity to provide a broader understanding of the book’s significance.
“The Cluj Catechization Trial (1958).” The Story of a Regional Orthodox Educational Project in Stalinist Romania
Authors:   Universitatea 1 Decembrie 1918,  Alba Iulia/ Muzeul Național al Unirii, Alba Iulia, Ursu Dragoș
Published: February 2024

The removal of religious education from the school curriculum by the Communist regime, through the educational reform of 1948, forced the Romanian Orthodox Church, like the other denominations, to reposition itself. Thus, in the new, unfavorable, context of the 1950s, when the regime tried to limit the Church’s institutional autonomy and reduce its social impact, the Romanian Orthodox Church attempted to initiate catechetical activities at the parish level to compensate for the pupils’ lack of religious education.
The general context of the relationship between the State and the Church, with a focus on the institutional mechanisms and instruments of the regime of control over the educational activity of the Orthodox Church, will be approached in the first part of the article, which aims to outline the political‑ecclesial context in which the “Cluj catechization trial” of 1958 took place, while the second part of the research will focus on the development of the events surrounding the 1958 catechization.
The Cluj catechization action, initiated by Bishop Teofil Herineanu, aimed to revive the religious education of the faithful, both students and adults. For this purpose, the bishop called upon the priests Galaction Munteanu, administrative vicar, and Ioan Bunea, professor at the Theological Seminary. They drew up a catechetical program which, after being sent to the archpriestships of the diocese, triggered the brutal intervention of the Securitate. A trial ensued, and clerics Ioan Bunea and Galaction Munteanu (the latter, deceased in the Aiud Prison) fell victims; the trial took place in the larger context of the Bucharest regime’s reaction towards the danger of the expansion of the 1956 Hungarian revolution.
Using multiple sources: archives (CNSAS, the Department of Cults, the Cluj Archdiocese Archives), oral history (interviews with the descendants of the clergy involved) and memoirs, the article aims to radiograph the topic of religious education in Communist Romania in the 1950s, capturing the regional institutional context, its mechanisms and ecclesiastical practices, the educational objectives of the Church, the reaction of the political and repressive authorities (the Department of Cults, the Securitate) and last, but not least, the (post)carceral destinies of the clergy involved.
Handling Heritage Objects. Moving the Entire Pharmaceutical Collection within the National Museum of Transylvanian History
Authors:   Muzeul Național de Istorie a Transilvaniei, Cluj-Napoca, Cova Ioana
Published: February 2024

Starting with 2018, the building previously housing the History of Pharmacy Collection (a privately owned building), known as the Pharmacy Museum, underwent massive restoration. The building, also known as the Hintz House, has traditionally been housing the exhibition of pharmaceutical objects – a collection owned by the National Museum of Transylvanian History. When the building was set to be restored, the collection, which then counted around 2400 inventory numbers, was packed and moved to the headquarters of the museum in the central storage facility, where it remained until 2023. The newly reorganized permanent exhibition at the Hintz House is set to be re‑opened in early 2024.
The logistics of such an activity was complicated, as it was the first complex transfer of an extensive collection that the museum had organized in the last decades. The entire collection was assessed before moving, from a conservation point of view, to establish if any objects require specific handling, along with materials and equipment for their manipulation. The collection’s relocation was intended to last for a few years; during this time, most of the cultural objects were planned to remain packed and temporarily stored since the collection needed to be moved back to Hintz House once the renovation was completed. The museum staff did the packing under the strict supervision of conservators and restorers, and a moving company specializing in art handling was hired to transport the collection to the museum headquarters.
Big data: Application, potential problem, and prospect
Authors: Li Dongyang
Published: February 2024

In recent years, big data has gradually become a hot topic; its appearance makes people full of infinite reverie about future life. Big data, is not just a theory but has gradually begun to affect all aspects of peoples lives. Many previous articles focused on the analysis principle and operation mechanism of big data and did not cover the practical application of big data too much. The specific application of big data is still a mystery to people. This paper uses literature analysis to describe the application, potential problems, and prospects of big data. This paper finds that big data, on the one hand, has appeared in all aspects of people's daily lives, which greatly facilitates people's lives, on the other hand, it also hides some problems. But risks always coexist with opportunities, if people can seize opportunities and control risks, big data will make a huge difference in people's lives.
The applications of sonar and radar systems in underwater detection
Authors: Cai Chenglin
Published: February 2024

The development of sonar and radar systems utilizing sound and radio waves, respectively, has evolved significantly over the past two centuries. Recent decades have witnessed remarkable progress in remote sensing using high-frequency Doppler radars for marine surface parameter analysis. Understanding animal behavior around sustainable ocean energy sources is crucial for mitigating potential risks linked to such installations. Increasing the Signal-to-Noise Ratio (SNR) enhances signal reception. A technique estimating noise in the detection coil's first half determines the transfer function between the reference and detection coils. This enables separation of the Ultra-Nuclear Magnetic Resonance signal from noise, preserving it using non-linear fitting. Sonar systems, using sound waves, detect underwater objects, map surfaces, and track marine life. Sound waves emitted by the transmitter are reflected back to calculate distances. Challenges in sonar systems include a blind zone caused by submerged transducers in shallow water. To improve, SNR enhancement is critical. Sonar's future may rely on AI-assisted signal processing. Radar systems, operating with radio waves, share features with sonar, focusing on object detection and ranging. Improvement avenues include 3D imaging and AI-enhanced signal processing. In conclusion, sonar and radar systems are crucial tools for underwater exploration and object detection. While challenges persist, innovative solutions and AI advancements promise enhanced capabilities for both systems.
Review of machine learning in traffic accident detection
Authors: Li Tengxiang
Published: February 2024

With the development and wide application of New Energy Vehicles (NEVs) in the past decade, the chip and power supply method for Machine Learning (ML) intervention provides a good hardware premise, while the 5G technology under the auspices of large-scale rapid data processing is also a prerequisite for the development of Auto Driving, moreover the current traffic accident prediction algorithms have a more critical role in the development of the field of Auto Driving. In this paper, I will consider these aspects as shown below. On the one hand, Anticipation of Traffic Accidents (ATAs) can be well used in todays Autonomous Driving has not yet been popularized, the existing warning information into the corresponding automated driving intervention signals to achieve the possibility of improving the safety of automated driving to increase the possibility of future use of automated driving. On the other hand, the use of ML in the ATAs can be better in the complex traffic environment in a timely manner for the accident warning to achieve a certain degree of reduction in the rate of traffic accidents, in order to optimize the traffic and reduce the economic loss of people. At the same time, in this review, we will propose the combination of data from in-vehicle cameras and road surveillance cameras to analyze the current development of autonomous driving.
Optimized 3D reconstruction in nearshore underwater environments: A cost-effective pre-processing strategy for Neural Radiance Fields implementation
Authors: Yuan Lyuyongkang
Published: February 2024

Nearshore oceans, teeming with diverse benthic ecosystems, continue to be a focal point for marine research. While 2D visual representations have been the mainstay in this area, the intricate, multi-dimensional nature of the seafloor ecosystems underscores the need for 3D modeling to capture their full essence. This study unveils a novel approach tailored for static image processing and 3D modeling through Neural Radiance Fields (NeRF), with a particular emphasis on the refined instantNGP variant. A meticulously crafted pipeline is employed, centered on neutralizing the visual impediments brought about by the interplay of light and seawater in underwater imaging. This refined pre-processing strategy ensures that images are primed for a seamless transition to NeRF-based 3D reconstruction, all the while conserving computational resources. The refined image processing techniques rectify underwater color discrepancies, notably the prevalent blue-green hue resulting from unique lighting conditions. Moreover, the system's ability to identify and excise seawater boundaries guarantees that the 3D models remain singularly focused on the richness of the seafloor ecosystems. Remarkably, achieving this does not demand vast datasets or exorbitant computational prowess, positioning it as an ideal fit for processing images from nearshore regions. As a more resource-friendly and efficient counterpart to existing methodologies, this study furnishes marine ecologists with a powerful instrument for RGB-centric 3D renderings of nearshore terrains. Nonetheless, for broader applicability in diverse marine settings, fusing this approach with neural networks could prove invaluable.
Attention level monitoring based on EEG measurement
Authors: Yu Chengyi , Huang Xinrui
Published: February 2024

This paper reports on research into the daily use of EEG measurement, based on brain-computer interface (BCI). Its purpose is to present a series of visualized data, clearly showing the attention level of the users brainwave This method of recognizing the attention level can be used in a variety of practical ways, such as assessing students cognitive functions, detecting drivers fatigue levels, and clinical application in supervising the moods of patients, especially those with mental diseases. By attaining different dimensions of brain waves, which are sorted into alpha waves, beta waves and meditation, helping to evaluate attention levels, this device can deal with the raw data via inner codes and output relatively accurate results.
Research on the SLAM technology moving away from high-precision maps in the context of autonomous driving
Authors: Zhu Yan
Published: February 2024

SLAM(Simulation Localization and Mapping) technology is widely used in the fields of unmanned driving, autonomous robots and augmented reality. Real-time localization and mapping capabilities provide important support for autonomous driving. In this paper, we present a review of the implications of SLAM technology away from high-precision maps in autonomous driving scenarios, and the concept and production process of high-precision maps, as well as their role and advantages in autonomous driving, are discussed. Then, the application, significance, and advantages of SLAM technology in autonomous driving scenarios are discussed in detail, and the advantages of SLAM technology in environmental adaptability, real-time performance, cost and scalability, and safety in emergency situations are emphasized. Finally, the challenges faced by the current SLAM technology in autonomous driving are analyzed, and the development prospects of SLAM technology in the field of autonomous driving in the future are discussed.
Application of machine learning algorithms to character interaction in single-player role-playing games
Authors: Huang Haoran
Published: February 2024

Character interaction in single-player role-playing games refers to the role interactions between the player character and the non-player characters (NPCs) in the game including dialogue, social interaction, cooperation, and competition, which are designed and implemented to achieve certain game goals and effects. This paper summarizes and compares machine learning algorithms applied to game development using a paper review and theoretical analysis, aiming to provide new solutions for optimizing and improving algorithms commonly used in game design. The ADEM algorithm can automate the evaluation of semantic relevance and logical coherence of character dialogues, but it is more costly in the pre-training phase and more difficult to perform domain adaptation for specific game content. The BERT algorithm can improve the speed of character dialogue generation through the training of unlabeled text, and then improve the flexibility of the dialogue through a small amount of labeled text for domain adaptation and fine-tuning, but it lacks in the generation of smooth and complex text and other aspects. The GAN algorithm can learn from a single or a small number of action sequences to achieve the transformation and mixing of character actions, thus generating multiple action gestures. However, its training process may suffer from problems such as pattern collapse leading to degradation in the quality of the generation, and it is also difficult to set a uniform objective criterion to determine the loss function.
Research on sentiment analysis based on the Bilibili video barrage
Authors: Bai Junyu
Published: February 2024

Based on the analysis of the emotions and mentality of site B users watching videos, this paper proposes a method to visualize important attributes such as high-frequency words, the proportion of positive and negative comments, and word cloud diagrams. In the context of the rise of the Internet and the increasing application of Web 2.0, this paper took the Bilibili barrage text as the research object. Because of the large amount of barrage data, only individual barrages were selected as the analysis objects according to the requirements. The crawler was used to preprocess the crawled video barrage. Then machine translation knowledge and four algorithms such as the word segmentation algorithm and sentiment analysis algorithm were used to analyze the sentiment of the video barrage from three different dimensions and compare the results. Through the analysis of the visualization results, the differences in the emotional distribution of different video barrages were compared, and two important conclusions were drawn: First, the mentality of Bilibili users watching videos is positive; second, there is a certain correlation between the content of the video and the emotional orientation of the barrage, and mutual prediction can be made between the two. However, the research in this paper is only the tip of the iceberg in the research of public opinion analysis. At present, the application of sentiment analysis in public opinion still faces difficulties. How to optimize the algorithm model according to the current situation requires researchers to conduct deeper research and more extensive thinking.
Prediction and analysis of breast cancer based on transfer learning from DDSM mammography images
Authors: Han Shijie
Published: February 2024

Breast cancer is a cancer mostly found in women, causing a high morality rate. It appears as a lump in the breast initially, and as cancer cells spread, the other organs are endangered. Research shows that the earlier the breast cancer is detected, the higher rate of recovering will be. The main methods of breast cancer detection are mainly using various physical methods to probe the internal condition of the patients breast. Breast X-ray imaging, also known as mammography, is the most widely used. It uses low-dose X-ray technology to observe the breast tissue and help doctors figure out the exact condition of the patient. With the advancements in deep learning and image recognition, the analysis of mammograms can be previously done by the computer, easing the pressure on doctors. Digital Database for Screening Mammography (DDSM) dataset is a mammography dataset specifically designed for the development of mammography detection models. It contains huge amounts of mammograms and provides the labels corresponding to them. In this study, the performances of normal deep learning model and transfer learning model on the DDSM dataset are compared. Pretrained neural network models are employed and fine-tuned on the DDSM dataset to adapt to the features of mammographic images. Experimental results demonstrate significant improvements through transfer learning, outperforming traditional methods with Convolutional Neural Network (CNN). Finally, the models are evaluated in multiple aspects, conclusions and prospects are analysed based on the results.
Desarrollo histórico de un festival cultural: caracterización del festival de la UNIAJC
Authors: Londoño Sánchez Claudia Milena , Vélez Montoya Katherine , Rodriguez Valencia Maria Elizabeth
Published: February 2024

Las interacciones humanas constituyen actualmente un elemento fundamental de nuestras dinámicas en sociedad. Situaciones de aislamiento social como las vividas por la pandemia del Covid-19 dejaron en evidencia esta necesidad humana, con el creciente interés de integrarnos en eventos culturales. Desde estas integraciones, se logra evidenciar la multiplicidad de etnias y costumbres que conforman nuestro entorno. Entre esta variedad de entornos, el ambiente académico constituye un espacio idóneo para aprender de diversas tradiciones culturales, un paso clave para el ejercicio de la inclusión, muy necesario en la actualidad. También se hace necesario desarrollar estos ejercicios de enseñanza y aprendizaje involucrando a nuestros compañeros y familiares, incluyendo a niños y niñas para garantizar las actitudes de respeto hacia nuestros semejantes desde la primera infancia. Dentro de la Institución Universitaria Antonio José Camacho se lleva a cabo el Festival de Integración Cultural, el cual es el presente caso de estudio para analizar este tipo de eventos. Comprender su desarrollo histórico permitirá obtener las herramientas para su mejora, en beneficio continuo de la comunidad. A lo largo del artículo se presentan las estrategias de categorización de los diferentes elementos del festival cultural de UNIAJC. La información recopilada fue categorizada y analizada según la naturaleza de los datos, ya fueran cualitativos o cuantitativos. Con esto se logró comprender las principales dinámicas históricas del festival y cómo ha ido cambiando, hasta lograr proponer estrategias de continua mejora. Dicho ejercicio puede ser extrapolable al análisis de otros festivales de tipo cultural.
TINDAK PIDANA PERDUKUNAN TINJAUAN PASAL 545, 546, 547 KUHP DENGAN PASAL 252 KUHP 2023
Authors: Zafira Aisyah
Published: February 2024

In Indonesia, the practice of black magic is not new. Although the practice is opposed to religion because it associates partners with God, it is still carried out by people who want to achieve their goals practically or harm someone. In the legal regulations in the Criminal Code, the practice of witchcraft is regulated in Articles 545, 546 and 547. In reality, this article is rarely used as a legal basis for the arrest or sentencing of black magic practitioners. The article on black magic has been discussed for a long time in the draft Bill of the Penal Code, there are many pros and cons about this article on shamanism which is called the’pasal santet’. In 2023 the new Penal Code was passed and the article on witchcraft was regulated in Article 252. with the legal research method, this research focuses on examining the normative law that applies in Indonesia with descriptive analysis until this research concludes that the act of shamanism is a disturbing thing, articles 545, 546, and 547 are considered inappropriate in dealing with this, so that article 252 is needed as legal certainty.
PELAKSANAAN KAWIN PAKSA SEBAGAI TUNTUTAN ADAT DALAM PERSPEKTIF HUKUM POSITIF DAN HAK ASASI MANUSIA
Authors: Nabila Maharani
Published: February 2024

Abstract

Forced marriages are often a hotly debated issue among the public because they are considered to have violated the rules that have been legalized in the laws enacted by the government. However, this is inversely proportional to the perception of ordinary people in some regions in Indonesia who view forced marriage as something that must be done to fulfill the customs that have been followed for generations. Therefore, there are differences of opinion and views between positive law and customary law regarding forced marriage. According to positive law, forced marriages due to customary demands are considered to have violated human rights. With this in mind, the researcher is interested in conducting an assessment of the implementation of forced marriages that often occur in Indonesia by using the library research method by examining the literature related to the topic of discussion.

Keywords: Forced Marriage, Customary Law, Human Rights

 

Abstrak

Pernikahan yang dilakukan secara paksa seringkali menjadi isu yang menjadi perbincangan hangat di kalangan masyarakat karena dianggap telah menyalahi aturan yang telah disahkan dalam undang-undang yang diberlakukan oleh pemerintah. Namun, hal ini berbanding terbalik dengan anggapan masyarakat awam sebagian daerah di Indonesia yang memandang bahwa pernikahan paksa merupakan suatu hal yang harus dilakukan untuk memenuhi adat istiadat yang telah diikuti secara turun temurun. Sehingga terdapat perbedaan pendapat dan juga pandangan antara hukum positif dan hukum adat mengenai pernikahan paksa. Dimana menurut hukum positif, pernikahan paksa karena tuntutan adat merupakan tindakan kekerasan seksual dan dianggap telah melanggar hak asasi manusia. Dengan adanya hal tersebut, peneliti tertarik untuk melakukan pengkajian terhadap pelaksanaan pernikahan paksa yang sering terjadi di Indonesia dengan menggunakan metode penelitian kepustakaan dengan cara mengkaji literatur-literatur yang berkaitan dengan topik kajian.

Kata Kunci: Pernikahan Paksa, Hukum Adat, Hak Asasi Manusia
Implementasi Metaverse untuk Optimalisasi Pembelajaran di Era Kurikulum Merdeka
Authors: Suparyati Atik , Tamrin A. G. , Cahyono Budi Tri
Published: February 2024

Kurikulum Merdeka adalah Program pendidikan yang bertujuan untuk menghadirkan pendidikan yang lebih dinamis, inklusif, dan relevan dengan kebutuhan masa depan. Metaverse adalah sebuah lingkungan virtual yang interaktif dan terhubung, menawarkan potensi besar untuk menciptakan pengalaman pembelajaran yang inovatif dan mendalam.Penggunaan Metaverse dalam pendidikan memungkinkan siswa dan pendidik untuk berinteraksi dalam dunia maya yang menyajikan berbagai konten pendidikan, simulasi, dan aktivitas kolaboratif.Artikel ini akan menyelidiki bagaimana Metaverse dapat diintegrasikan dalam pendidikan di era Kurikulum Merdeka, membahas manfaatnya dan juga tantangan dan pertimbangan etika yang terkait dengan penggunaan Metaverse. Menggunakan pendekatan Systematic Literature Review (SLR). Dengan menggunakan metode ini, tinjauan sistematis dan identifikasi jurnal dapat dilakukan. Dengan menggabungkan potensi Metaverse dengan tujuan Kurikulum Merdeka, artikel ini bertujuan untuk memberikan wawasan tentang bagaimana pendidikan dapat mengadopsi teknologi canggih ini untuk menciptakan pengalaman pembelajaran yang lebih baik, lebih inklusif, dan lebih relevan dengan tuntutan masa depan. Hasil penelitian ini diharapkan meningkatkan keterlibatan siswa, memfasilitasi pembelajaran kolaboratif, dan memungkinkan pembelajaran sepanjang hayat.
Implementasi Teknologi Informasi terhadap Media Pembelajaran untuk Meningkatkan Kualitas Mutu Pendidikan
Authors: Silalahi Erwin
Published: February 2024

Penggunaan teknologi informasi menjadi tantangan besar bagi dunia pendidikan. Zaman yang serba digital menuntut guru bersikap aktif akan perkembangan teknologi informasi. Salah satu pemanfaatan teknologi informasi dibidang pendidikan adalah pengembangan media pembelajaran. Proses pembelajaran yang interaktif dan persuasif akan memudahkan siswa dalam menerima materi. Penerapan teknologi informasi ini membuat tenaga pendidik harus ikut serta dan menyesuaikan dalam proses belajar dan mengajar. Namun, tidak semua SDM di sekolah dapat mengimplementasikan media pembelajaran berbasis teknologi informasi. Kurangnya sarana dan prasarana dan minimnya pengetahuan akan dunia teknologi membuat sulitnya penerapan pembelajaran teknologi informasi di sekolah. Jurnal ini akan menganalisis penggunaan media pembelajaran berbasis teknologi informasi menggunakan pendekatan kualitatif dengan metode deskriptif yaitu dengan pengumpulan data berupa analisis, observasi, dan wawancara.
Kinerja dan Motivasi Aparatur Pasca Penerapan Kebijakan Penyederhanaan Birokrasi di Kabupaten Sumbawa Barat
Authors: Syaifuddin Fud , Yamin Ahmad , Suparman Suparman
Published: February 2024

Penelitian ini dilakukan untuk mendeskripsikan kinerja aparatur pada organisasi perangkat daerah pasca penerapan kebijakan penyederhanaan birokrasi ditinjau dari capaian Sistem Akuntabilitas Kinerja Perangkat Daerah Tahun 2023 dan untuk mendiskripsikan motivasi kerja aparatur pasca penerapan kebijakan penyederhanaan birokrasi di Pemerintah Kabupaten Sumbawa Barat. Pemililihan metode penelitian kualitatif juga cocok digunakan ketika peneliti membutuhkan suatu pemahaman yang detail dan lengkap tentang permasalahan tersebutPejabat fungsional hasil penyetaraan jabatan masih belum mampu untuk memberikan kinerja yang maksimal karena adanya berbagai permasalahan, seperti pembagian kerja, kompetensi aparatur, sosialisasi kebijakan. Motivasi aparatur pasca penyetaraan jabatan pada Pemerintah Kabupaten Sumbawa Barat belum begitu baik. Persepsi jabatan fungsional tidak menarik, dianggap kelas dua, jabatan inferior, dianggap bukan karier, demotivasi, kompetensi kurang, dan tidak dikembangkan masih tertanam dalam persepsi sebagian besar aparatur. Perubahan struktur saja tidak akan efektif memberikan perubahan, karena yang akan membantu menguraikan masalah birokrasi adalah mengimplementasikan budaya birokrasi baru. Perlu dilakukan evaluasi menyeluruh terhadap implementasi penyetaraan jabatan di Kabupaten Sumbawa Barat, baik itu kesesuaian aparatur dengan bidang tugasnya, dampak dari penyetaraan jabatan pada perangkat daerah, kendala dan hambatan dalam pelaksanaan kebijakan penyetaraan jabatan.
Peningkatan Kemampuan Memahami Pengamalan Hukum Ibadah dari Al-Qur'an Melalui Program Pendampingan Santri di Pondok Pesantren Qur’any Jombang
Authors: Ainiyah Qurrotul , Ya’cub Mihmidaty , Riza Julianne Kamelia , Mirrota Dita Dzata
Published: February 2024

This mentoring program aims to analyze the improvement of students’ ability in comprehending the legal verses of the Qur’an after participating in a mentoring program organized at the Qurany Islamic Boarding School. The mentoring was carried out for 3 months by implementing interactive lectures, group discussions, case studies and hands-on practice. The results demonstrated that the abilities in fluent recitation, translation, analyzing verse structures, grasping content, and application in daily worship increased significantly with the percentage of excellent grades reaching >90%. This success was influenced by the utilization of appropriate training methods, resource competencies, participant enthusiasm, and support from the Islamic boarding school. Through this successful mentoring, the students’ theoretical understanding and practical skills with regards to the application of the Qur’anic legal verses have become very adequate, enabling them to become pioneers in society.
Сорбционные свойства сорбента на основе бентонита-диатомита по отношению к щелочным металлам
Authors: Айрапетян М. С. , Айрапетян С. С. , Аракелян А. С. , Маргарян Л. А. , Хачатрян А. Г.
Published: February 2024

Проведены эксперименты по динамической сорбции некоторых щелочных металлов (калия, цезия, рубидия) с использованием сорбента на основе бентонита-диатомита. Гранулирование сорбента проводили при помощи фосфорной кислоты с целью повышения сопротивления потоку жидкости. Сорбционная ѐмкость, определѐнная с использованием моделей Ленгмюра и Фрейндлиха, составляет 1.2 мг/г, 0.14 мкг/г и 2.0 мкг/г для калия, цезия и рубидия соответственно. Скорость потока 3.0 мл/мин является оптимальной для контроля значения pH внутри хроматографической колонки.
Կատարվել են որոշ ալկալիական մետաղների (կալիումի, ցեզիումի, ռուբիդիումի) դինամիկ սորբման ուսումնասիրման փորձեր՝ կիրառելով բենտոնիտի-դիատոմիտի հիմքով սորբենտ: Հեղուկի հոսքին սորբենտի դիմադրությունը բարձրացնելու համար հատիկավորումն իրականացվել է ֆոսֆորական թթվով: Լենգմյուրի և Ֆրեյնելիխի մոդելնէրի միջոցով որոշված սորբումային տարողությունը կազմում է 1.2 մգ/գ, 0.14 մկգ/գ, 2.0 մկգ/գ համապատասխանաբար կալիումի, ցեզիումի, ռուբիԵիումի համար: Հեղուկի 3.0 մլ/մին հոսքի արագությունն օպտիմալ է աշտարակի ներսում pH-ի արժեքների կարգավորման համար:
A dynamic sorption experiments have been performed for sorption of some alkaline metals (potassium, cesium and rubidium) with a diatomite-bentonite based sorbent. Granulation of the sorbent was carried out with phosphoric acid for improving its flow resistance with both laboratory and pilot scales considered. A sorption capacity of 1.2 mg/g, 0.14 mcg/g, and 2,0 mcg/g for potassium, cesium, and rubidium respectively by means of Langmuir and Freundlich isotherm models. The flow rates of 3 mL min-1 were effective process parameters for controlling the pH inside of the columns.
The influence of host characteristics on impulsive online purchases by consumers: Examining the effects of flow experience and independent self-construal
Authors: Fang Ce
Published: February 2024

Purpose: The professional integrity of e-commerce livestream hosts is crucial, as they function as intermediaries connecting businesses and consumers. The research investigates how the characteristics of e-commerce livestream hosts influence the mechanisms behind consumers’ impulsive motivations for online purchases. The goal is to propose targeted managerial insights for the e-commerce livestreaming sector, fostering robust and sustainable growth. Design/Methodology/Approach: The research targets Chinese consumers engaged in online livestream shopping, utilising a quantitative research methodology through a questionnaire survey. Data was collected through the dissemination of online questionnaires on e-commerce platforms, resulting in 683 valid sample responses collected between July and August 2023. Findings: Analyzing the data reveals that anchor characteristics positively impact consumers’ impulsive online purchases and, concurrently, positively influence the consumers’ level of flow experience. Conversely, the consumers’ flow experience level positively impacts their impulsive online purchases, with the flow experience serving as a partial mediator. Additionally, the independent self-concept moderates the process where anchor characteristics positively influence consumers’ tendencies for impulsive online purchases, augmenting its effectiveness. Conclusion: Anchor characteristics directly impact consumers’ impulsive online purchases and can also indirectly boost consumers’ impulsive online purchases by enhancing their flow experience. Practical Implications: The present study explores which e-commerce livestream hosts impact consumers’ impulsive online purchasing behaviours, offering insights for future research. Additionally, by exploring the impact factors of e-commerce livestream hosts’ characteristics on consumers’ impulsive online purchasing behaviours, this research provides theoretical suggestions for livestream hosts, offers guidance for consumers, and serves as a reference for businesses to enhance their livestreaming strategies.
LITERATUR REVIEW MANFAAT DARI ENTERPRISE RISK MANAGEMENT DI INDONESIA
Authors: Sitinjak Josin , Nibras Anny Khabibah
Published: February 2024

To overcome the intricacies involved in risk management procedures, organizations adopt a risk management framework that is more effective, open, and risk-focused. One such framework that can be applied to this issue is enterprise risk management (ERM). To explore this topic, a review of pertinent literature was conducted to examine risk management, ERM, and the advantages of implementing ERM. Based on the literature review, it was revealed that the deployment of ERM can mitigate unexpected risks and enhance the organization's perceived value among stakeholders.
COMPETENCE INFLUENCE AND MOTIVATION ON EMPLOYEE PERFORMANCE WITH EMPLOYEE ENGAGEMENT AS A MEDIATION VARIABLE
Authors: Purnomo Eddy
Published: February 2024

ABSTRACT

This research is aim to determine the influence of employee competence and motivation on employee performance through employee engagement, as a mediation variable, as a case study  on employees of the Kalimantan River Region Hall I Pontianak. Research Model is descriptive and associative quantitative. Data is obtained from questioners to employees as respondents. The number of respondents was 61 civil servants. The analytical method used is path analysis. The results obtained showed that competence has a significant effect on employee performance through employee engagement as a mediation variable, and conversely motivation does not significantly effect on employee performance, through employee engagement as a mediation variable. Pandemic Covid-19 makes limited in conducting direct interviews for questioner fillers, so the filling of questionnaires is less transparency and accountability.

 

Keywords:  Competence,  Motivation,  Employee  Engagement,  and  Employee

Performance
ORGANIZATIONAL CITIZENSHIP BEHAVIOR TERHADAP KINERJA KARYAWAN, KEPUASAN KERJA SEBAGAI VARIABEL INTERVENING PADA PT. SWADAYA MUKTI PRAKARTA, KETAPANG
Authors: Ekobelawati Fransiska , Marjono Marjono , Iswanto Iswanto , Ishak Ishak
Published: February 2024

This research investigates the significant relationship among Organizational Citizenship Behavior (OCB), employee performance, and job satisfaction within the context of PT. Swadaya Mukti Prakarta. The study employed statistical analysis, including a paired t-Test for Means, to assess the mean differences between OCB and employee performance. The findings revealed a substantial positive correlation (Pearson's correlation coefficient of 0.893) between OCB and employee performance, indicating that higher levels of OCB among employees are associated with increased performance levels. Furthermore, the research examined the relationship between job satisfaction and employee performance. The results demonstrated a strong positive correlation (Pearson's correlation coefficient of 0.931) between job satisfaction and employee performance, emphasizing the critical role of job satisfaction in enhancing overall employee performance.

Additionally, the validity and reliability of the measurement instruments were tested. The study confirmed the validity of the survey questions for all three constructs (OCB, employee performance, and job satisfaction) and established satisfactory reliability for the measurements. In conclusion, this research highlights the significant impact of OCB on employee performance and underscores the importance of fostering OCB and job satisfaction in enhancing organizational effectiveness. These findings offer valuable insights for organizations seeking to improve their employees' performance and overall job satisfaction.
PENGARUH DISKON HARGA, GRATIS ONGKOS KIRIM DAN PROMOSI TERHADAP MINAT BELI MAHASISWA PADA APLIKASI TIKTOK SHOP
Authors: Latifah Latifah , Nurmalasari Nurmalasari
Published: February 2024

Dalam era digital dan teknologi saat ini, media sosial telah berperan penting dalam mempengaruhi perilaku konsumen. tiktok shop merupakan fitur yang memungkinkan pengguna untuk menjual produk secara online melalui platform tiktok. Penelitian ini berjudul Pengaruh Diskon Harga, Gratis Ongkos Kirim Dan Promosi Terhadap Minat Beli Mahasiswa Pada Aplikasi Tiktok Shop. Penelitianini bertujuan untuk mengetahui pengaruh antara Diskon Harga, Gratis Ongkos Kirim Dan Promosi Terhadap Minat Beli Mahasiswa Pada Aplikasi Tiktok Shop baik secara simultan maupun parsial. Data dikumpulkan melalui metode pemilihan acak sederhana. Dari kuesioner yang disebarkan, respons yang diterima menjadi total sampel yang diambil adalah 133 orang dan sudah di uji validitas dan reliabilitas instrument penelitian. Untuk analisis data, model analisis regresi digunakan dalam penelitian ini, khususnya Regresi Linier Berganda dengan bantuan program SPSS 25.0 untuk menguji hipotesis yang diajukan. Hasil uji regresi menunjukkan bahwa ada pengaruh antara Diskon Harga, Gratis Ongkos Kirim dan Promosi secara simultan maupun secara parsial terhadap terhadap Terhadap Minat Beli mahasiswa pada aplikasi tiktok shop. Terjadi hubungan yang sangat kuat antar variable yang diteliti.
MANAJEMEN LABA PADA PERUSAHAAN PERTAMBANGAN YANG TERDAFTAR DI BEI PERIODE 2020-2022 MELALUI PROFITABILITAS, LEVERAGE, DAN UKURAN PERUSAHAAN
Authors: Napiajo  , Raihanah Beananda Siti , Serini Anjelina
Published: February 2024

This analysis, which is a causal study, attempts to assess how three variables—firm size, profitability, and leverage—affect profits management strategies. The firm's total assets serve as a proxy for the firm size variable, while the debt-to-asset ratio (DAR) indicates leverage and return on assets (ROA) indicates profitability. Discretionary accruals are used to measure the management of earnings. The corporate financial report data used in this quantitative study approach was sourced from the Indonesia Stock Exchange (IDX) website. The mining businesses that were listed on the IDX between 2020 and 2022 made up the study's population. Purposive sampling was used in the sample selection process, yielding eight organizations as study samples with an observation length of three years. With the aid of the Statistical Package for Social Sciences (SPSS) version 22, multiple linear regression analysis was employed in this study's hypothesis testing. Descriptive statistical tests, traditional assumption tests (including multicollinearity, autocorrelation, heteroscedasticity, and normality tests), and hypothesis testing are all a part of the analysis process. The findings of the ANOVA test demonstrate that variables related to leverage, profitability, and company size all influence profits management strategies. Individual study findings, however, indicate that while firm size has no appreciable impact on earnings management, profitability and leverage do have a favorable and significant impact.

Keywords: Profitability, Leverage, Company Size and Earnings Management
PERAN DIGITAL MARKETING DALAM PERSPEKTIF EKONOMI ISLAM DI INDONESIA
Authors: Sunaryono
Published: February 2024

In general, marketing involves a series of activities in the field of trade where sellers offer products to consumers. A similar situation occurs in Islamic marketing, where the process and strategy of meeting needs through halal products and services are accompanied by principles of agreement and mutual well-being between buyers and sellers, with the aim of achieving material and spiritual prosperity in both the worldly life and the hereafter. In the context of digital marketing from an Islamic perspective, all marketing activities that use technology must be based on Sharia law. Therefore, the use of technology should avoid elements involving riba (interest), maisir (gambling), the production or sale of non-halal products, as well as prohibitions related to marketing products containing gharar (uncertainty).