bluuebunny/crossref_metadata_2025 huggingface dataset:
Menyiapkan Akreditasi Program Studi APS 4.0 Dengan Pendekatan Asset Based Community Development (ABCD)
Authors: Fauzi Ahmad , Lubab Ahmad , Khoirul Abidin Upik
Published: July 2024

Penerapan Asset-Based Community Development (ABCD) dengan objek perguruan tinggi sebagai sebuah lembaga secara holistik belum ada. Sebagai pelaksana tridharma, sudah seharusnya perguruan tinggi mengimplemntasikan teori-teori pengabdian kepada masyarakat ke dalam. Apalagi, perguruan tinggi didukung aset baik SDM maupun SDA yang sangat luar biasa. Tulisan ini menyajikan empat tahapan dalam metode ABCD yakni Discovery, Dream, Design, dan Destiny  dalam menyiapkan dan menyusun akreditasi program studi APS 4.0. Hasil Pemetaan Aset Kampus ditinjau dari IAPS 4.0 diperoleh bahwa Aset Manusia inline dengan Kriteria 2 dan Kriteria 3, Aset Fisik selaras dengan Kriteria 1 dan Kriteria 4, Aset Sosial cocok dengan Kriteria 6 dan Kriteria 7, Aset  Finansial tercermin dalam Kriteria 4, Aset Natural mencerminkan Kriteria 4. Selanjutnya brsama dengan komunitas disusun strategi dan timeline penyusunan Laporan Kinerja Progam Studi (LKPS) dan Laporan Evaluasi Diri Program Studi (LEDPS). Pelaksanaan kegiatan-kegiatan yang telah disepakati dilakukan oleh komunitas didampingi tim. Tahapan akhir dilakukan melalui simulasi atas isian komunitas. Hasil simulasi ini menjadi bagian yang sangat penting untuk melihat posisi prodi serta sebagai pijakan untuk menentukan langkah kongkret dalam meningkatkan mutu program studi
PERANCANGAN DAYA TARIK WISATA TEJAHERANG DAN CILEULEUY WISATA DESA JALANCAGAK KECAMATAN JALANCAGAK KABUPATEN SUBANG
Authors: Juliar Muhammad Gema , Fathurohman Muhammad Asep Ilham , Adyakusuma Naufal Faishal Fathin , Nugraha Chandra , Firanti Zalva Nova , Suherlan Shakira Maharani , Fitriani Kania , Mutoharoh Siti Maemun , Febriani Fitria , Aulya Fatma , Susanto Susanto
Published: July 2024

Perkembangan wisata pedesaan sedang digalakkan oleh pemerintah daerah untuk meningkatkan potensi ekonomi, budaya, dan lingkungan termasuk di Desa Jalancagak. Konsep neo vernacular sunda mendasari perancangan Tejaherang dan Cileuleuy. Neo vernacular merupakan sebuah konsep yang memadukan unsur arsitektur tradisional dengan unsur modern pada bangunan. Tejaherang dan Cileuleuy dipilih sebagai daya tarik wisata air yang berpotensi untuk dikembangkan agar dapat menarik minat wisatawan. Beberapa tahapan yang dilakukan yaitu persiapan, observasi lapangan, perencanaan dan perancangan desain, lokakarya desain, serta tahap berkelanjutan. Hasil dari kegiatan ini berupa perancangan desain daya tarik wisata tejaherang dan cileuleuy, masterplan maket studi wisata tejaherang, petunjuk arah wisata tejaherang, jurnal ilmiah, buku literasi desa wisata serta booklet wisata air Desa Jalancagak. Pada tahap lokakarya desain rancangan daya tarik wisata air mendapat respon positif dari masyarakat karena desain telah disampaikan berupa usulan program berkelanjutan kepada Kemenparekraf.
Pelatihan Teknik Kalibrasi, Penentuan Dosis dan Aplikasi Pestisida
Authors: Dani Umar , Sumekar Yayan , Widayat Dedi , Yuwariah Yuyun , Kurniadie Deni , Umiyati Uum
Published: July 2024

Penyuluh pertanian berperan penting dalam memberikan informasi dan bantuan teknis kepada petani dan pemangku kepentingan bidang pertanian. Pelatihan teknik kalibrasi alat semprot, penentuan dosis dan aplikasi pestisida bagi penyuluh pertanian menjadi strategis. Pelatihan ini bertujuan agar penyuluh pertanian memiliki keterampilan dan pengetahuan yang diperlukan untuk membimbing petani dalam memaksimalkan manfaat pestisida dan meminimalkan dampak negatifnya. Metode Pelatihan yang digunakan adalah ceramah, diskusi dan praktik lapangan. Hasil pelatihan menunjukkan Pelatihan teknik kalibrasi, penentuan dosis dan aplikasi pestisida telah memberi manfaat bagi penyuluh pertanian, Kabupaten Majalengka dalam melaksanakan penyuluhan dan bimbingan kepada petani. Selain itu, melalui kegiatan pelatihan diperoleh hasil: (1) tingkat kehadiran peserta selama pelatihan sebesar 100%, (2) tingkat aktivitas/respon peserta selama kegiatan pelatihan sebesar 100%, (3) tingkat capaian pengetahuan peserta pelatihan sebesar 83%, dan (4) tingkat capaian keterampilan peserta pelatihan sebesar 80%.
Peningkatan Kompetensi Desain Pemodelan Bangunan Berbasis Aplikasi Pendukung BIM bagi Guru Vokasi
Authors: Setiawan Abdul Haris , Takaoka Ryo , Agustin Rima Sri , Murtiono Eko Supri , Nurhidayati Aryanti , Proklamalatu Muhamad Aziz , Trianingsih Lilis , Siswanto Budi , Sunarsih Ernawati Sri , Rahmawati Kundari , Wijayanti Azmi , Mitsuhara Hiroyuki
Published: July 2024

Profesionalitas guru sangat penting untuk menjamin mutu pendidikan. Guru harus berkompeten dan terus mengembangkan keterampilan untuk menyesuaikan diri dengan perkembangan zaman. Dalam menggambar konstruksi bangunan, guru vokasi perlu menguasai strategi desain pemodelan bangunan berbasis Building Information Modelling (BIM). Penelitian ini bertujuan untuk mengetahui peningkatan kompetensi guru melalui pelaksanaan pelatihan. Metode yang digunakan adalah eksperimen dengan melaksanakan pelatihan kepada guru vokasi untuk mengetahui peningkatan kompetensi guru sebelum dan setelah pelatihan. Analisis data dilakukan secara deskriptif, paired sample t-test, dan N-gain. Analisis deskriptif menunjukkan skor rata-rata kompetensi guru pada pre-test 49,17 dan post-test 92,33 pada skala 100. Selanjutnya, berdasarkan uji N-gain dihasilkan nilai rata-rata N-gain 0,8482 yang berada pada interval N-gain g ≥ 0,7 kategori tinggi, yang berarti kompetensi desain pemodelan bangunan berbasis aplikasi pendukung BIM guru vokasi meningkat sebesar 84,82% setelah pelatihan selama 7 hari. Analisis uji-t sampel berpasangan menemukan peningkatan kompetensi yang signifikan dengan hasil uji t sampel berpasangan menunjukkan t-hitung 19,896 > t-tabel 2,093 dan nilai Sig. (2-tailed) 0,000 < 0,05 probabilitas, artinya ada perbedaan rata-rata kompetensi guru saat pre-test dan post-test. Berdasarkan semua uji analisis, dapat disimpulkan bahwa pelatihan desain pemodelan bangunan berbasis aplikasi pendukung BIM secara signifikan dapat meningkatkan kompetensi guru vokasi dalam pemodelan 3D bangunan.
PELATIHAN MENDELEY BAGI MAHASISWA TINGKAT AKHIR MAGISTER MANAJEMEN INOVASI, UNIVERSITAS TEKNOLOGI SUMBAWA
Authors: Umar Umar , Yamin Ahmad
Published: July 2024

Perkembangan teknologi informasi dalam dunia pendidikan sedang berkembang pesat. Akibatnya, mahasiswa harus mengenal berbagai aplikasi yang disediakan oleh penyedia layanan informasi. Salah satu aplikasi yang dapat digunakan untuk mengelola artikel jurnal online, sitasi dan referensi adalah Mendeley. Hasil pengamatan menunjukkan bahwa banyak mahasiswa tidak menggunakan aplikasi Mendeley karena mereka tidak tahu cara menggunakannya. Tujuan dari PKM ini adalah untuk melatih mahasiswa program studi magister manajemen inovasi Universitas Teknologi Sumbawa supaya bisa memahami penggunaan aplikasi mendeley dalam penulisan tugas akhir. Metode yang digunakan ceramah untuk menjelaskan materi yang berkaitan dengan aplikasi Mendeley dan praktik untuk mengoperasikan aplikasi manajemen referensi Mendeley serta diskusi untuk mahasiswa yang belum paham pada saat mengoperasikannya. Pelaksanaan kegiatan dibagi dalam tiga tahapan, yaitu; persiapan, Implementasi kegiatan, dan evaluasi kegiatan. Kegiatan ini dilaksanakan pada hari Rabu, 3 April 2024 di Ruang STP Universitas Teknologi Sumbawa. Hasil kegiatan ini menunjukkan peningkatan pengetahuan peserta tentang penggunaan mendeley sebagai referensi manajer, menurut hasil analisis statistik likert scale, skala 4. Kesimpulannya, pelatihan dapat meningkatkan kemampuan mahasiswa untuk menggunakan aplikasi mendeley dengan benar dan efektif.
Precursive activities of Lviv doctors in the development of therapeutic gymnastics, orthopedics, and rehabilitation in Galicia from 1847 to 1918
Authors: Jandziś Sławomir , Migała Mariusz
Published: July 2024

The article presents the little-known pioneering activity of doctors working in Lviv, the capital of the Galicia province in the Austrian Monarchy, for the development of therapeutic gymnastics and orthopedics from 1847 to 1918. Analysis of source materials from archives, medical magazines, and daily newspapers shows that therapeutic gymnastics was introduced for the treatment of locomotor diseases in Lviv at the turn of the 19th and 20th centuries. Initially, it was based on the German method and then replaced by the Swedish method. At the same time, orthopedics emerged from surgery, with its origins related to the habilitation of Dr Antoni Gabryszewski at the University of Lviv. The main role in this process belonged to Lviv doctors, graduates of universities in Krakow, Lviv, Prague, and Vienna. They conducted scientific research at the Medical Faculty of the University of Lviv and made numerous trips to renowned centers in other provinces of Austria, as well as in Germany, Sweden, and Switzerland. Due to their scientific work, as well as the knowledge and experience gained from foreign scientific visits, they founded and managed facilities where they applied orthopedics, healing gymnastics, mechanotherapy, physical therapy, massage, and orthopedic equipment. Most facilities were comparable in functionality to renowned foreign centers. The pioneering activities of Lviv doctors contributed to the development of orthopedics and healing gymnastics in other Galician cities and influenced the establishment of spas throughout the province. In later years, this activity furthered the establishment of orthopedics, comprehensive rehabilitation, and spa therapy in Poland and Ukraine.
Obrazovanje i struktura pomoćnoga zdravstvenog osoblja u Općoj bolnici Karlovac od kraja Drugoga svjetskog rata do 60-ih godina
Authors: Mirilović Snježana , Franković Sanda
Published: July 2024

Organizirano i formalizirano obrazovanje medicinskih sestara u Hrvatskoj započinje 1921. osnivanjem Škole za sestre pomoćnice u Zagrebu. Od osnutka prvih zdravstvenih ustanova u Karlovca do kraja Drugoga svjetskog rata iznimno je malo obrazovanog osoblja za njegu bolesnika. Taj su posao obavljale priučene osobe i redovnice koje su pohađale bolničarske škole organizirane u sklopu bolnica kojima su upravljale ili su imale diplomu Škole za sestre pomoćnice u Zagrebu. Nakon Drugoga svjetskog rata mnoge su redovnice bile prisiljene napustiti službu, što je u velikoj mjeri pridonijelo osipanju školovanog osoblja kojega je ionako bilo premalo. Opća bolnica u Karlovcu nastali će problem rješavati otvaranjem škola za dječje njegovateljice, bolničare, higijeničare i zubne asistente, koji će sve do otvaranja Škole za medicinske sestre u Karlovcu 1960. činiti većinu osoblja koje je pružalo izravnu skrb bolesnicima. Cilj je ovog rada dati pregled obrazovanja pomoćnog osoblja i strukturu zaposlenika koji su bili izravni pružatelji skrbi, uz osvrt na uvjete rada u Općoj bolnici Karlovac od kraja Drugoga svjetskog rata do 60-ih godina 20. stoljeća. Prikazani su pronađeni programi školovanja za dječje njegovateljice i bolničare te navedene osobe koje su te programe provodile.
Medicinal properties of beer
Authors: Kuropatnicki Andrzej K.
Published: July 2024

Ale and beer brewing and drinking have apparently been part of the human experience since the dawn of civilization. Beer is one of the most consumed alcoholic beverages around the world. It is rich in nutrients such as carbohydrates, amino acids, minerals, vitamins, and other compounds. Historically, ale and beer have served as sources of potent nutrient food and have also been used for their medicinal properties. It was believed that the process of fermentation changes simple ingredients such as grain and water into sacred produce, and the introduction of medicinal plants enhances its properties. The earliest records show that in Sumer, beer was used for medicinal purposes as early as 2000 BCE. In the early Middle Ages, ales became popular among the Celts, Germans, and Scandinavians, who were great ale drinkers. Ales were brewed without hops; instead, a specific herb or a combination of herbs called gruit was used for flavouring. Ale and beer were thought to have both magical and medicinal powers, and were often prescribed for medicinal purposes. The introduction of hops revolutionized the brewing and beer trade. Hops improved the quality of beer and gave beer greater durability and protection against bacteria. The aim of the paper is to present the history of ale and beer used for their medicinal properties.
Implementation of an Artificial Intelligence Based Learning Management System for Adaptive Learning
Authors: Alexsius Pardosi Victor Benny , Xu Shanshan , Umurohmi Ulfah , Nurdiana Nurdiana , Sabur Fatmawati
Published: July 2024

In the world of modern education, the need for adaptive and personalized learning systems is becoming increasingly important to accommodate the unique learning needs of each individual. Implementing artificial intelligence (AI) in learning management systems offers great potential for optimizing adaptive learning experiences, where the system automatically adjusts learning content and approaches based on student profiles and responses. This research aims to develop and implement an artificial intelligence-based learning management system to personalize learning. The primary objective is to assess the effectiveness of the system in improving student engagement and learning outcomes and identify factors that influence its success. The method includes developing a system using machine learning algorithms for real-time analysis of student learning data. This research uses a mixed design that combines quantitative and qualitative data to analyze learning outcomes and understand user perceptions of the system. The research results show that this AI-based learning management system successfully increases student engagement and provides effective personalization of learning. Data shows improvements in grades and understanding of the material, especially in concepts students previously found difficult. Implementing an artificial intelligence-based learning management system has proven effective in supporting adaptive learning. This system improves learning outcomes and provides new insights into how AI technology can effectively integrate into educational contexts to support diverse and dynamic learning needs. The research also identified several challenges, including the need for more significant and varied training data and smoother integration with school curricula.
Integration of Blockchain Technology in Education Financial Management for Transparency and Accountability
Authors: Sahib Abdul , Intes Amina , Majid Jamaluddin , Rijal Syamsu , Setiawati Rahmi
Published: July 2024

The education system requires transparent and accountable financial management to ensure efficiency, fairness and sustainability. However, there are still many challenges in achieving this, especially related to limited transparency and reliability of financial data. Blockchain technology offers the potential to increase transparency and accountability in educational financial management by providing proof of authentication and an immutable track record. This research aims to explore the potential for integrating blockchain technology in educational financial management to increase transparency and accountability. Researchers also aim to analyze its impact on efficiency and fairness in the education system. This research method uses a qualitative approach with literature study and case analysis. Researchers analyzed literature related to blockchain technology in the context of educational financial management, and collected data from case studies of blockchain technology implementation in educational institutions that have adopted it. The research results show that the integration of blockchain technology in educational financial management can increase transparency and accountability by providing immutable proof of authentication for every financial transaction. In addition, the use of blockchain technology can increase the efficiency of financial administration processes and minimize the risk of fraud or data manipulation. The conclusion of this research is that the integration of blockchain technology in educational financial management has great potential to increase transparency, accountability and efficiency in the education system. However, challenges related to infrastructure availability and technical understanding need to be overcome to optimize its benefits. Therefore, strategic and collaborative steps from related parties are needed to encourage widespread adoption of this technology in educational financial management.
Characteristics of Transformational and Distributed Leadership in Generating School Performance
Authors: Purwanto Anim , Boeriswati Endry , Suryadi Suryadi , Rexy Tachioka
Published: July 2024

To answer increasingly complex leadership challenges, a leadership style that can accommodate changing times is needed. Exploring the characteristics of transformational and distributed leadership as an effort to raise school performance is the research goal to be achieved.. This type of research is library research. The research data sources used are books and journals that are relevant to the title and study. Data analysis techniques used include steps such as preparing text data for review, reading all data, coding data, describing data, presenting data, and interpreting data. This research gives the result that an important characteristic of transformational leadership is visionary, where the leader will lead his team to move forward in creating change. While the main characteristics of the distributed leadership model are distributing or sharing some of the tasks and the process of influencing others, as well as the practice of a leader's activities focusing on an interaction between members. Transformational leadership emphasizes emotional awareness and individual empowerment, while distributed leadership enables flexibility in terms of location and time, as well as digital collaboration. Both require more collaborative leadership skills and utilize technology to facilitate team communication and cooperation. They are evolving to meet the complexity and challenges of the digitally connected work environment. Keywords:  characteristics, transformational leadership, distributed leadership, school performance
Management of Direct Instruction Model Implementation to Foster University Student Learning Creativity
Authors: Cahyono Budi Tri , Juwita Ratna , Karoso Subianto
Published: July 2024

The direct instruction learning model is a form of classical presentation of material but is given competency and skill reinforcement. Direct instruction is used to streamline learning for students who have low achievement and learning difficulties. Practical exercises so that it makes it easier for students to follow the steps carried out by the lecturer. The direct learning model fosters motivation to build learning constructions in a mature and independent manner when given assignments that require personal decision making intended to explore the material received. The capacity of students is said to be able to understand the context of direct learning. When making assignment representations it can be carried out with broad thoughts and insights because there is direct understanding and learning through working on the results of assignments or activities that will be guided and explained directly by the lecturer. From the test results, it was found that 96% of the direct learning model provided benefits because the lecturer explained the material coherently and students could immediately ask questions and answers to get an explanation. Meanwhile, 4% did not understand the direct learning model, because students wanted assignments to strengthen the material being conveyed. The contribution obtained with the direct learning model is that there is intense interaction about the delivery of teaching materials that can be directly discussed, so that students get maximum results.
Learning Technology Increases the Perception of Online Learning
Authors: Kuswanto Kuswanto , Fajanela Jennifer Velasquez , Abidin Zaenal
Published: July 2024

3 ABSTRACT Teachers are important part in the process of education. One of the basic competencies of a teacher that must be possessed is professional competence. The researcher focused on the problem, how is the professionalism of pre-service physics teachers with online learning? To figure out the answer, the researchers use a mixed method approach with Exploratory Sequential Design. The findings of this study indicate that the knowledge of the professionalism of the pre-service physics teacher is quite good, but after working on the questions the professionalism of the prospective physics teacher still seems to be hampered. The novelty of this study is that while the outcomes of teaching professionalism can't predict professionalism in the future, they can be utilized as a starting point for future studies on how prospective teachers' professionalism is maintained. This finding suggests conducting further research to find the design of teacher professionalism training to be able to face the challenges of modern education
Identical movement control exercises with and without synchronized breathing for chronic non-specific low back pain:A randomized pilot trial
Authors: Mikkonen Jani , Luomajoki Hannu , Airaksinen Olavi , Goubert Liesbet , Pratscher Steven , Leinonen Ville
Published: July 2024

BACKGROUND: Exercise is a first-line treatment for chronic non-specific low back pain (CNSLBP). Exercise combined with specific breathing techniques have the potential to improve multifactorial outcomes. No previous studies, however, have compared outcomes between identical exercises with or without a specific breathing protocol in a uniform clinical study setting. OBJECTIVES: 1) To investigate the feasibility of combining synchronized breathing with movement control exercises and evaluate eligibility criteria, randomization procedures, and dropout rates. 2) To study the preliminary efficacy of the interventions on multifactorial outcome measures. METHODS: Thirty subjects with CNSLBP were randomized into two groups. Both groups had four contact clinic visits where they received personalized home movement control exercises to practice over two months. The experimental group included a movement control exercise intervention combined with synchronized breathing techniques. Trial registration number: NCT05268822. RESULTS: Feasibility was demonstrated by meeting the recruitment goal of 30 subjects within the pre-specified timeframe with enrolment rate of 24.8% (30/121). Synchronized breathing techniques were successfully adhered by participants. Home exercise adherence was nearly identical between the groups without any adverse events. Preliminary efficacy findings on pain intensity, disability, and self-efficacy in the experimental group exceeded the minimal clinically important difference. No such findings were observed in any outcome measures within the control group. Overall, multifactorial differences were consistent because nine out of eleven outcome measures showed greater improvements for the experimental group. CONCLUSION: The synchronized breathing with movement control exercises protocol was feasible and may be more beneficial for improving multifactorial outcomes compared to identical exercises alone. Results suggested progression to a full-scale trial.
Using Optuna and Genetic Algorithm together facilitate the classification of plant leaf diseases
Authors: Subbiah Priyanga , Tyagi Amit Kumar , N Krishnaraj
Published: July 2024

The identification and severity assessment of plant leaf diseases is crucial to food security and sustainable agriculture. This study shows an innovative way to improve plant leaf disease detection. The recommended method uses Optuna for parameter optimization and the Genetic Algorithm for feature selection to improve plant leaf disease identification. We do this to improve diagnosis accuracy. This method improves classification accuracy and is called ECPLDD-OGA. Modern hyper parameter optimization framework Optuna is employed. This allows classification model parameters to be fine-tuned. A systematic feature selection method is the Genetic Algorithm. It finds the most useful characteristics in the input dataset. By applying the algorithm on the data. By facilitation, the iterative process helps create a simplified and meaningful subset of features. Contrary to parameter tinkering and feature selection, empirical data suggests that utilizing Optuna and the Genetic Algorithm simultaneously improves disease identification. The updated model recognizes sick plants more accurately and generalizes better. Optimization enabled both gains. The usage of this technology can improve agricultural operations and reduce crop losses by increasing productivity. The present ECPLDD-OGA technique helps integrate hyper parameter tweaking and feature selection into machine learning-based agricultural applications.
Battery parameter identification for unmanned aerial vehicles with hybrid power system
Authors: He Zhuoyao , Gómez David Martín , Peña Pablo Flores , Hueso Arturo de la Escalera , Lu Xingcai , Moreno José María Armingol
Published: July 2024

Unmanned aerial vehicles (UAVs) nowadays are getting soaring importance in many aspects like agricultural and military fields. A hybrid power system is a promising solution toward high energy density and power density demands for UAVs as it integrates power sources like internal combustion engine (ICE), fuel cell (FC) and lowcapacity lithium-polymer (LIPO) batteries. For robust energy management, accurate state-of-charge (SOC) estimation is indispensable, which necessitates open circuit voltage (OCV) determination and parameter identification of battery. The presented research demonstrates the feasibility of carrying out incremental OCV test and even dynamic stress test (DST) by making use of the hybrid powered UAV system itself. Based on battery relaxation terminal voltage as well as current wave excitation, novel methods for OCV determination and parameter identification are proposed. Results of SOC estimation against DST through adaptive unscented Kalman filter (AUKF) algorithm show that parameters and OCV identified with longer relaxation time don’t yield better SOC estimation accuracy. Besides, it also discloses that OCV played the vital role in affecting SOC estimation accuracy. A detailed analysis is presented showing that mean discharging rate and current wave amplitude are the major factors which affect the quality of OCV identified related to SOC estimation accuracy.
Structural link prediction model with multi-view text semantic feature extraction
Authors: Chen Ke , Zhang Tingting , Zhao Yuanxing , Qian Taiyu
Published: July 2024

The exponential expansion of information has made text feature extraction based on simple semantic information insufficient for the multidimensional recognition of textual data. In this study, we construct a text semantic structure graph based on various perspectives and introduce weight coefficients and node clustering coefficients of co-occurrence granularity to enhance the link prediction model, in order to comprehensively capture the structural information of the text. Firstly, we jointly build the semantic structure graph based on three proposed perspectives (i.e., scene semantics, text weight, and graph structure), and propose a candidate keyword set in conjunction with an information probability retrieval model. Subsequently, we propose weight coefficients of co-occurrence granularity and node clustering coefficients to improve the link prediction model based on the semantic structure graph, enabling a more comprehensive acquisition of textual structural information. Experimental results demonstrate that our research method can reveal potential correlations and obtain more complete semantic structure information, while the WPAA evaluation index validates the effectiveness of our model.
Analysis of visual communication elements in variable font design from the perspective of digital technology
Authors: Huang Guomin
Published: July 2024

With the maturity of digital technology, the effectiveness of information transmission has received extensive attention. Variable font design is regarded as an extension of graphic design in digital media art, and variable font design is studied from the perspective of information communication design. From the perspective of digital technology, based on the research theory of variable information communication design, combined with the specific methods of font design, the perception, cognitive methods, and aesthetic laws of aesthetic subject vision and psychology in the field of font variable design are discussed. Provide relevant theoretical support for information communication design activities with variable fonts. Based on artificial intelligence technology, a new interactive art expression method is proposed. By analyzing the main expression scenarios of interactive art, namely user information communication scenarios, interactive art push scenarios, interactive art promotion scenarios and personal service scenarios, it provides a scenario application basis for interactive expression, calculate the space complexity, space complexity and resource complexity, according to the complexity calculation results, carry out interaction design from three aspects of visual elements, multimedia elements, and human-computer interaction elements, integrate the topology structure after the interaction is realized, and in the network topology structure. The proposed model consists mainly of visual design, basic design elements, basic visual design, complete design and solution generation. It realizes the expression of interactive art of multimedia elements in display and control. The experimental results show that the interactive element extraction speed of the visual communication expression method based on artificial intelligence technology is increased by 30%, and the flexibility is stronger.
Investigation of a high-performance control algorithm for a unified chaotic system synchronization control based on parameter adaptive method
Authors: Huang Haifeng
Published: July 2024

With the rapid development of computer technology, parameter adaptive control methods are becoming more and more widely used in nonlinear systems. However, there are still many problems with synchronous controllers with multiple inputs and a single output, uncertainty, and dynamic characteristics. This paper analyzed a synchronization control strategy of uncoupled nonlinear systems based on parameter dynamic factors to adjust the performance of the synchronization controller, and briefly introduced the manifestations of chaotic motion. The characteristics and differences of continuous feedback control methods and transmission and transfer control methods were pointed out. Simple, effective, stable, and feasible synchronous control was analyzed using parameter-adaptive control theory. By analyzing the non-linear relationships between various models at different orders, the fuzzy distribution of the second-order mean and their independent and uncorrelated matrices were obtained, and their corresponding law formulas were established to solve the functional expression between the corresponding state variables and the dynamic characteristics of the system. The error risk test, computational complexity test, synchronization performance score test, and chaos system control effect score test were carried out on the control algorithms of traditional chaos system synchronization methods and chaos system synchronization methods based on parameter adaptive methods. Parameter adaptive methods were found to effectively reduce the error risk of high-performance control algorithms for synchronization of the unified chaos system. The complexity of the calculation process was simplified and the complexity score of the calculation process was reduced by 0.6. The application of parameter adaptive methods could effectively improve the synchronization performance of control algorithms, and the control effectiveness rating of control algorithms was improved. The experimental test results proved the effectiveness of control algorithms, which greatly enriched the field of modern control applications and also drove the vigorous development of nonlinear dynamics research, thus making significant progress in chaos application research.
Enhanced solar power prediction using CNN and ladybug beetle optimization algorithm
Authors: Parida Raj Kumar , Roy Monideepa , Parida Ajaya Kumar , Khan Asif Uddin
Published: July 2024

Integrating renewable energy sources like solar power into the grid necessitates accurate prediction methods to optimize their utilization. This paper proposes a novel approach that combines Convolutional Neural Networks (CNN) with the Ladybug Beetle Optimization (LBO) algorithm to forecast solar power generation efficiently. Many traditional models, for predicting power often struggle with accuracy and efficiency when it comes to computations. To overcome these challenges, we utilize the capabilities of CNN to extract features and recognize patterns from past irradiance data. The CNN structure is skilled at capturing relationships within the input data allowing it to detect patterns that are natural in solar irradiance changes. Additionally, we apply the LBO algorithm inspired by how ladybug beetles search for food to tune the parameters of the CNN model. LBO imitates how ladybug beetles explore to find solutions making it effective in adjusting the hyperparameters of the CNN. This research utilizes a dataset with solar irradiance readings to train and test the proposed CNN-LBO framework. The performance of this model is assessed using evaluation measures, like Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), MAPE, and R2 value. The experimental outcomes indicate that our hybrid CNN-LBO method surpasses existing techniques in terms of efficiency.
Modeling the impact of noise and uncertain operational environment on software release decisions considering testing coverage-based SRGM
Authors: Anand Sameer , Jaiswal Ajay , Verma Vibha , Singh Atul
Published: July 2024

The operational environment of software differs from the debugging environment. Therefore, the study explores the impact of irregular consumption by diverse users on the development cost of software, reliability of software, and release decisions. To accomplish this, a release model has been formulated considering logistic testing coverage-based reliability growth model built as a stochastic process including the error generation. The stochastic nature has been captured by considering the noise factor due to irregular fluctuations occurring during testing while usage uncertainty has been captured by introducing a constant parameter in the cost function of the operational phase. It is assumed that the testing phase cost is affected by the noise and the operation phase cost is affected by the severity of noise which is the result of uncertain usage by users. The model was evaluated against a real failure dataset. The release model creates a trade-off between software development cost, release timing, and reliability aspirations. This study contributes to software reliability literature and provides insights to practitioners to make software release decisions. The sensitivity analysis results give information about various aspects during the operational phase that affect the overall development cost.
Investigating the Behavior of Consumers Using Digital Payment: Comparative Study between Rural and Urban Areas
Authors: Yadav Priyanka , Jain Anshul , Pathak Nitish , Sharma Neelam
Published: July 2024

The primary aim of the present research is to investigate the factors that precede digital payments and their effect on the behavioural intentions of consumers residing in both rural and urban areas. In this research, different factors, such as perceived usefulness (PU), compatibility (CO), performance expectancy (PE), transaction speed (TS), trust (TR), unavailability of facilitating conditions (UFC), and operational constraints (OC) have been taken from various theories. To collect data, an online survey was administered, and a total of 557 participants provided their responses. The model’s validity and reliability are established using confirmatory factor analysis (CFA), while the hypothetical relationships were analysed using structural equation modelling (SEM) in AMOS. It is concluded that PU, CO, PE, TS, TR, UFC, and OC have impacted the behavioural intentions of both urban and rural users. Moreover, the multi-group analysis is also applied in this research, to know the difference in behaviour of rural and urban users. It is concluded that PU, CO, PE, TS, TR, UFC, and OC have impacted the behavioural intentions of the users. Through the multi-group AMOS analysis, it was discovered that the path from drivers such as TS, CO, TR, and UFC to intent to use showed a difference between the two groups, whereas OC, PE, and PU showed the same path coefficient. Finally, at the end, some managerial implications are made for further study.
Comparative analysis of neural network architectures for short-term FOREX forecasting
Authors: Zafeiriou Theodoros , Kalles Dimitris
Published: July 2024

This document outlines the analysis, design, implementation, and benchmarking of various neural network architectures in a short-term frequency prediction system for the FOREX market. Our objective is to emulate the decision-making process of a human expert (technical analyst) through a system that swiftly adapts to market condition changes, thereby optimizing short-term trading strategies. We have designed and implemented a series of LSTM neural network architectures that take exchange rate values as input to generate short-term market trend forecasts. Additionally, we developed a custom ANN architecture based on simulators for technical analysis indicators. We performed a comparative analysis of the results and came to useful conclusions regarding the suitability of each architecture and the cost in terms of time and computational power to implement them. The ANN custom architecture produces better prediction quality with higher sensitivity using fewer resources and spending less time than LSTM architectures. The ANN custom architecture appears to be ideal for use in low-power computing systems and for use cases that need fast decisions with the least possible computational cost.
A PROSPEK PENGELOLAAN KEUANGAN BANK SYARIAH DI INDONESIA
Authors: Zumaroh Zumaroh
Published: July 2024

At present, Islamic banking in Indonesia is growing up fastly and very fantastic with the unique financial management system. The global monetary crisis have brought it’s cleverness in the Islamic banking development besouse the world societies, the experts, and the prudence makers desire to apply shariah concept seriously. The Islamic financial institutions (including Islamic banking) appear as one of Shariah concept applications with no refusal. Even it’s excepted because of the real influence, so that Islamic banking is prospecting in the future. Its offers the real investment and benefit (revenue) by profit – lost sharing system. The interest-free concept in Islamic banking operation makes it different from conventional banking that based on interest-fee.
Besides, the application of Good Corporate Governance in Islamic banking is expected to be able to increase the precious for stakeholders. The GCG aplication is excpected to increase publics trust to Islamic banking financial management system, maintain the growth of Islamic financial industries and the stability of whole financial system, and bring the Islamic finance institutions into of playing field level that equal with other international finance institutions.
a PENGUKURAN PENGUNGKAPAN TANGGUNG JAWAB SOSIAL PERUSAHAAN TIGA BANK SYARIAH DI INDONESIA BERDASARKAN PANDUAN GRI G4 UMUM DAN GRI PANDUAN KHUSUS
Authors: Juniawati Mutmainah
Published: July 2024

Kebutuhan ekonomi saat ini sangat pesatnya hampir setiap kehidupan masyarakat berkutat dengan ekonomi, perusahaan dalam bentuk lembaga keuangan, manufakturing, jasa, dan lain sebagainya semua melakukan kegiatan ekonomi, Pada mulanya, perusahaan hanya berfokus untuk memenuhi kebutuhan barang dan jasa bagi manusia. Dari pemenuhan tersebut, perusahaan akan mendapatkan manfaat dari hubungan timbal balik dalam bentuk manfaat ekonomi yaitu berupa keuntungan. Pandangan seperti itu yang biasa disebut dengan single bottom line, dimana nilai sebuah perusahaan hanya dilihat dari kondisi keuangannya saja. Seiring berjalannya waktu, pandangan perusahaan berubah menjadi triple bottom line. Perusahaan tidak lagi hanya berfokus pada finansial (profit) saja, tetapi mulai masuk ke sosial (people) dan lingkungan (planet). CSR masih dipandang menyulitkan perusahaan kususnya yang terkait dengan pengelolaan sumber daya alam. Dengan kondisi lingkungan usaha yang belum kondusif, perusahaan diwajibkan mengalokasikan dana untuk CSR.
Kewajiban ini dimunculkan lewat Undang-Undang no 40 tahun 2007 tentang Perseroan Terbatas. Meskipun masih multi tafsir dan mengundang perdebatan serius termaktub bahwa perseroan  di bidang atau berkaitan dengan sumber daya alam wajib bertanggung jawab dalam masalah sosial, ekonomi dan lingkungan. CSR yang semestinya di ranah sukarela sekarang sudah masuk ke ranah wajib. Menyikapi hal ini perusahaan tentu harus menyikapi CSR dalam kerangka logis untuk memberikan manfaat bagi pembangunan berkelanjutan masyarakat,  stakeholder, dan daya dukung bumi. Kewajiban bertanggung jawab dengan CSR ini juga yang membuat perseroan terbatas harus membuat laporan berkelanjutan yang disebut dengan sustainability report.
Sebagian besar penelitian mengenai pengukuran pengungkapan tanggung jawab sosial perusahaan yang telah dilakukan pada perbankan syariah menggunakan GRI   Maka penelitian ini didesain untuk melakukan pengukuran CSR yang baru dengan melakukan konvergensi GRI4 (113 item). Penelitian ini berfokus pada 3 bank syariah yang terdaftar di Indonesia yaitu Bank BSM, BRI Syariah, BNI Syariah.
Unit analisisnya adalah laporan sustainable Bank syariah atau publikasi CSR tahun 2016. Analisis data menggunakan kualitiatif dengan data sekunder yaitu data sustanable report tahunan Bank syariah tahun 2016. Hasil analisis menunjukkan bahwa konvergensi indek GRI harus dilakukan untuk panduan umum seperti strategi dan bisnis, profil perusahaan, profil laporan dan tata kelola, dan indikator-indikator panduan kusus seperti ekonomi, kinerja lingkungan, Praktek Tenaga Kerja dan Pekerjaan yang Layak, hak asasi manusia,masyarakat/sosial dan tanggung jawab terhadap produk. Pengukuran CSR yang baru menghasilkan 113 item pengukuran dengan 6 indikator kusus dan 4 indikator umum. Diharapkan hasil ini memberikan kontribusi signifikan pada pengungkapan CSR khususnya untuk industri perbankan syariah di Indonesia.
DISTORSI PENGELOLAAN LEMBAGA KEUANGAN SYARIAH MIKRO
Authors: Ambarwati Diana
Published: July 2024

Artikel ini akan mengurai tentang faktor penyebab mundurnya Baitul Maal wa Tamwil di Lampung sebagai bagian dari distorsi pengelolaannya.  Kondisi Baitul Maal wa Tamwil saat ini sedang mengalami kelesuan yang ditandai dengan banyaknya Baitul Maal wa Tamwil yang menutup cabang, menutup kantornya bahkan mengalami bangkrut, yang mengakibatkan banyaknya dana nasabah yang tak tertolong lagi. Hal menjadi miris disaat perjalanan perkembangan lembaga keuangan syariah berusia lebih dari 10 tahun sejak kebangkitannya. Berdasarkan penelusuran berbagai sumber didapatkan salah satu factor non keuangan yang memiliki sumbangsih terhadap mundurnya beberapa baitul Maal wa tamwil di lampung adalah, terdapat kesalahan dalam proses perekrutan dan penetapan pengelola dan dewan pengawas syariah. Hal ini menjadi temuan lanjutan bahwa kualitas Sumber daya manusia menjadi salah satu faktor penentu keberlanjutan Baitul Maal wa Tamwil.
Emotional Expression of Public Communication Post COVID-19 Era In Educational Context
Authors: Sutanto Angela Audrey , Indrayani Inri Inggrit , Yogatama Astri
Published: July 2024

This research aims to examine the emotional expression of nonverbal communication performed by scholars during presentations as a post-pandemic public communication practice. In the age of globalization, one of the necessary talents is public communication. A presentation that tries to transmit knowledge about a topic to the audience effectively is a familiar public communication technique scholars perform. Building a connection with the audience is one way to create effective communication, one of which is emotional expression in the form of nonverbal communication through gestures and microexpressions. Public communication skills have deteriorated, particularly during the COVID-19 epidemic, as have emotional expressions in nonverbal communication. With previous theoretical perspectives in gesture and microexpression, this study employed a quantitative-descriptive content analysis technique with categorical analysis units. Researchers examined 49 video recordings of scholars’ presentations from February to March 2023. The study's findings revealed that when scholars practiced public communication in class, they employed scared emotions for gestures and calm emotions for microexpressions. This study suggests the significance of public communication training or coaching, particularly for nonverbal emotional displays in presentations, to fulfill communication goals.
Exploration of Critical Skills For Teachers In Digital Literacy Practices Education Program
Authors: Rachmadiani Ocha Trisepta , Anggraini Clara Novita
Published: July 2024

The increasing penetration of the internet and digital devices significantly impacts learning in technological media. Teachers play an important role in improving their competencies through training programs supported by the government. Dompet Dhuafa's Digital Literacy Education Training for Trainers program aims to improve digital literacy among Sekolah Guru Indonesia (SGI) activists. The program includes training in copywriting, learning video creation, the concept of Society 5.0, and future internet professions. The top five participants' work was certified by the Ministry of Law and Human Rights, highlighting a novel approach as few participants developed strong comprehension and critical thinking skills. This research explores the critical thinking ability of the best participants in the digital literacy program, specifically in creating learning videos that obtain intellectual property rights. The method used was phenomenology, in-depth interviews were conducted with five top participants. The findings of this study revealed three main components affecting the implementation of the program: mastery of critical thinking, lack of mastery of critical thinking, and difficulties in improving participants' critical thinking skills. These results underscore the importance of critical thinking in educational training and the challenges in developing this skill among teachers.