bluuebunny/crossref_metadata_2025 huggingface dataset:
The Turkey/Syria Earthquake 2023: Theoretical Framework of Post-Disaster Logistics and Its Flawed Application
Authors: Demir Evin
Published: June 2023

This paper discusses the effects of theoretical planning and framework of humanitarian aid and disaster relief. In order to ease the understanding of this theoretical topic this essay will preoccupy itself by conducting a case study: Therefore, the theoretical framework of the Turkish disaster relief institution “Disaster and Emergency Management Presidency” (AFAD) will be analyzed in depth and set into the context of the number of earthquake that took place in South East Turkey and Syria in February of 2023. The more, the success of the theoretical framework established by AFAD will be critically analyzed by comparing it to its practical implementation during the first seven days following the first big earthquake. The study results by concluding that the practical application of the framework on disaster relief and humanitarian aid was highly flawed due to interpersonal problems, affiliations and as a result of a centralized bureaucratic reform.
The Functions of Bayas in Bodong Celebration among the Kalinga’s
Authors: B. Bulwayan Ronald , Alunday – Balocnit Divina
Published: June 2023

The study looked into the functions of bayas in the bodong celebration of the Kalingas. It made use of ethnographic method, specifically interview of the elders and bodong holders. Actual photo-documentation was also used to capture important procedures of the rituals.
Unravelling Marginality and Masculinity: Exploring the Interplay of Gender and Power in Gabriel Garcia Marquez’s Chronicle of a Death Foretold
Authors: Jha Shalini
Published: June 2023

This research paper examines the portrayal of gender prejudice and power structures in Gabriel Garcia Marquez’s novella, Chronicle of a Death Foretold. Set in a patriarchal society in Latin America, the story revolves around the murder of Santiago Nasar and the societal norms that perpetuate toxic masculinity and misogyny. Through a blend of magical realism and journalistic storytelling, Marquez critiques the entrenched sexism and the concept of “machismo” in the culture. The paper explores the subordination of female characters, the association of honour with female chastity, and the destructive consequences of lop-sided gender roles. The analysis highlights the marginalized position of women within the narrative and the social structures that contribute to their powerlessness. Furthermore, the paper discusses the resistance of certain female characters, challenging the prevailing norms and offering glimpses of agency and empowerment. Marquez’s Chronicle of a Death Foretold is a powerful critique of gender prejudice and exposes the harmful impact of gender-based social hierarchies.
A Study of Ballad Literary Techniques, Aesthetic sense and Bravery of a Tamizhachi through the lens of Vanavil K. Ravi’s The Ballad of the Warrior Girl Kuyili
Authors: Subapriya Dr. K.
Published: June 2023

Tamilnadu, the ancient land with many accolades including the eminent language, culture, bravery, hospitality has more crown and feather to its caps. Its achievements and accomplishments knew no bounds. Endless song on the praise of Tamil and Tamil culture can be sung for ages and ages. Among the versatility of Tamil culture, the bravery of female warriors cannot be ignored. One such significant contribution is The Ballad of the Warrior Girl Kuyili by Vanavil. K. Ravi. Through this text, the magnificent achievement and the contribution of female warriors for the independence is well brought out and presented to the younger generation. This paper explores the techniques, aesthetic sense and bravery of blood in a woman. The ballad form employed by the poet adds more flavour and enthusiasm while approaching this text, henceforth this paper ventures to explore on the aspects of Ballad form in addition.
Advantages and disadvantages of using Visual Storytelling to Teach English Vocabulary to Young Learners at Viet Anh Primary School
Authors: Chau Le Hoang Bao
Published: June 2023

This research was conducted to investigate the use of visual storytelling in teaching English vocabulary to young learners at Viet Anh Primary School in Vietnam’s context. Specifically, the research aimed to determine the possible advantages and disadvantages of using visual storytelling to teach vocabulary to young learners, as well as to explore specific solutions to disadvantages of using visual storytelling in teaching English vocabulary to young learners. The study followed a mixed-methods research design which collected both quantitative and qualitative data. Quantitative data was collected with a questionnaire, while qualitative data was collected with interviews. The study took place at Viet Anh Primary School in Ca Mau City and included 30 teachers from the school as participants. All the teachers responded to the questionnaire, whereas five teachers participated in the interviews. The findings revealed that teachers perceived various benefits associated with visual storytelling, including affective, cognitive, teaching, and behavioral/social benefits. Visual storytelling was considered an effective way to motivate students to learn vocabulary. The affective and cognitive benefits were perceived most prominently. Concerning the disadvantages, the findings showed that the teachers struggled with preparing relevant and suitable visual stories, evaluating students’ performances during visual storytelling activities, and preparing stories in a reasonable timeframe. The interview participants recommended solutions to address these challenges, which included using pre-made resources, effective time management, collaboration, involving students in the process, customizing content, utilizing various sources, observing engagement, and implementing assessments. The research findings can serve as a useful reference for English teachers of young learners and those with similar contexts.
Talento humano en las organizaciones: competencias blandas para la empleabilidad de estudiantes universitarios
Authors: Sánchez Ambriz Gerardo , Yáñez Hernández Adriana , Sánchez Ambriz M. Leticia
Published: June 2023

La disertación tiene como propósito resaltar la importancia de las competencias blandas en el siglo XXI, requeridas por las empresas para la contratación del talento humano y la necesidad de una formación académica integral que deben de tener los estudiantes universitarios para ser insertados en el mercado laboral y formar parte del talento humano de las organizaciones del sector productivo, para ello las Instituciones de Educación Superior cumpliendo con sus postulados de ofrecer servicios educativos proporcionan los conocimientos, habilidades, destrezas que impacten positivamente en la empleabilidad de sus egresados. El tipo de investigación es mixta, el alcance descriptivo, con un diseño de investigación no experimental (transversal), enfoque triangular con énfasis en lo vivencial. Los resultados fueron evaluar la adquisición de las competencias del siglo XXI, los estudiantes mostraron interés y compromiso con los aprendizajes, la estrategia vivencial aportó un espacio de construcción de aprendizaje a partir de sus conocimientos previos.
Enseñanza Remota de Emergencia: instrumentación en procesos educativos, estudiantes universitarios
Authors: Muñoz Molina Eduardo , Flores Zepeda Margarita
Published: June 2023

La contingencia provocada por la sindemia del COVID-19 ha generado la necesidad de buscar alternativas y medios para trasladar los cursos impartidos de manera presencial a una virtual. Ante esta realidad, el artículo tiene como objetivo evaluar una estrategia de enseñanza, diseñada bajo la modalidad de Educación Remota de Emergencia en apoyo al proceso educativo a estudiantes en la Facultad de Estudios Superiores Cuautitlán, durante el año escolar 2021, haciendo uso de un entorno digital por medio de una página web, la plataforma ZOOM y el diseño de materiales de estudio.
El artículo está sustentado en una investigación mixta, con alcance descriptivo y tipo de investigación no experimental y con enfoque cuantitativo, en la que se aplicó la técnica de la encuesta para obtener una visión general de ¿Cómo la estrategia de enseñanza diseñada y empleada en el curso facilitó el aprendizaje de los estudiantes? De una muestra de 141 estudiantes, el 92 % evaluó de manera positiva el uso y la estructura de la estrategia de enseñanza, diseñada en apoyo a la docencia.
Bienestar emocional infantil: el libro ilustrado como auxiliar en la salud mental
Authors: Gómez Guzmán Xiadani Giselle , Godínez Vázquez Cecilia
Published: June 2023

Esta investigación presenta una revisión del bienestar emocional infantil como punto clave para obtener una salud mental favorable, considerando, de igual forma, las estrategias de aprendizaje que son fundamentales en la enseñanza hacia los infantes. Es así que se desglosa el desarrollo de la creación de tres libros ilustrados didáctico – educativos considerados productos de diseño cuyo contenido conformado por cuentos y actividades funcione como herramienta a fin de proporcionar información que permita identificar, comprender y enfrentar de manera adecuada las emociones negativas de tristeza, enojo y miedo.
Design of Single Legged Hopper Robot in Gazebo
Authors: Anusha Chilupuri
Published: June 2023

Abstract: Robotics is one of the core areas where the bioinspiration is frequently used to design various engineered morphologies to develop novel behavioral controllers comparable to human being and animals. Research on legged robots has been going on for over a century. The reason behind such sustained interest in legged robots is due to the fact that most of the earth’s land surface is inaccessible to wheeled or tracked systems. Legged animals can, however, be found everywhere. Thus, mankind has been fascinated with the idea of a mobile legged robot that can handle difficult terrain and be useful in the fields of transportation, forestry, agriculture, fire, fighting, hazardous areas, defense (carrying weapons to soldiers, de-mining), police purposes, assistive devices for walking, entertainment (toy production), robotic pets, and ocean and space exploration. Our project is based on one such example, single legged hopper robot a legged locomotive inspired by the jumping mechanism of click beetles. It aims to create a single legged hopper robot in Gazebo. A simulation tool that offers the ability to accurately, and efficiently, simulate populations of robots in complex indoor and outdoor environments. The Robot Operating System (ROS) works best in the LINUX OS, is the software of version Melodic + Gazebo 9, is utilized in the project.
IoT Based Smart Shopping Cart Using RFID
Authors: Radhakrishna V.
Published: June 2023

Abstract: The standard of living for people has improved with the help of contemporary technology. As a result, large crowds gathered in supermarkets and shopping malls. Due to barcode-based billing system, it is difficult to avoid standing in long lines during weekends or when there is a large crowd in supermarkets and shopping centers. IoT Based Smart Shopping Cart using RFID technology seems to be a promising solution to address the issue of long queues at the billing counters in crowded shopping malls and supermarkets. This system can save a lot of time for customers as the bill is generated automatically at the cart itself. The use of RFID tags for each product and a recharge card with a certain amount in it for each store is an innovative approach that can simplify the billing process. The display of the remaining balance after deducting the price of each product on the LCD of the cart and the real-time update of the total bill on an IoT application such as ThingSpeak can provide customers with a convenient and transparent shopping experience. It can also reduce the need for manual labor, as the system can manage the billing process without the intervention of a cashier. Overall, the IoT Based Smart Shopping Cart using RFID technology has the potential to revolutionize the way people buy by making it faster, more convenient, and more efficient. It can also contribute to reducing the waiting time in long queues and improving the overall shopping experience for customers
Prediction of COVID-19 Severity by Applying Machine Learning Techniques
Authors: Shankar V.
Published: June 2023

Abstract: An intimidating spread of COVID- 19(which is also known as severe acute respiratory pattern coronavirus 2 or SARSCOV- 2) led scientists to conduct tremendous sweats to reduce the epidemic goods. Artificial intelligence (AI) methods that are quick and precise are needed to support croakers in their assessments of a case's inflexibility and mortality hazard. By providing early medicine administration, pre-vaccination of rigid patients will reduce the cost to the hospital and stop instances from dying continuously. This design uses machine learning and deep learning techniques to build a vaticination model that predicts several inflexibility problems for the COVID-19 case grounded on X-ray pictures. Non-Handcrafted styles and composite handcrafted ways are applied to extract features. Principal Component Analysis( PCA) is being incorporated to choose the most vital features, and also Machine and Deep learning ways are applied. To extract characteristics, non-handmade styles and composite handcrafted methods are used. To choose the most crucial features, Principal Component Analysis (PCA) is used with machine and deep learning techniques. The cases are categorised and classified as pneumonia, severe, or normal. The PCA features enabled the Bagging, Ada Boost, KNN (K- nearest neighbors), and XGBoost classifiers to perform stylishly with 97% of accuracy, 98% of precision, and recall of 95%. This study proposes a new prophetic frame for the inflexibility and mortality threat of COVID-19 cases to help hospitals, croakers, and medical installations in their decision-making about which cases need to get attention first before others, and at the same time, to keep hospitals ’ coffers for high- threat precedence cases.
Design of MPPT Controllers for PV Cells using Matlab
Authors: Swarnalatha Mrs. K.
Published: June 2023

Abstract: Nowadays, the Photovoltaic cell is one ofthe most essential parts in the electrical field to convert photo light to voltage and current, at the desired output voltage and frequency by using various control techniques. To increase the production of photovoltaic-based cleaner energy, the maximum power point tracking (MPPT)controller is employed. This project presents the design of an MPPT Controller for Photovoltaic systems. The MPPT controller is used to control and get Maximum Power Point (MPP) from the source. The output power of a photovoltaic (PV) module depends on the solar irradiance and the operating temperature; therefore, it is necessary to implement MPPT controllers to obtain the maximum power of a PV system regardless of variations in climatic conditions. This project reviews the most used MPPT algorithms, which are Perturb and observe (P&O), Incremental conductance method (ICM), and Fuzzy logic control (FLC).
Hardware Design and Simulation of Boost Converter Suitable for PV Applications
Authors: Krishna Ch. Leela
Published: June 2023

Abstract: In order to power today's most advanced electronic devices efficiently and quickly produce extremely useful devices through software interfacing, new techniques must be developed as the size, utility, and complexity of these devices rise. In order to step-up DC voltages, the boost converter that is the focus of this paper will be modelled. The pulse width modulation pulses that are applied to power switches are produced by the Arduino. The software runs on the microcontroller and includes a boot loader for common programming languages. C is the programming language used. As a result, creating PWM triggering signals is less complicated. Instead of using traditional methods, an efficient feedback system is used, depending on the application, to obtain the desired DC voltages. Even though using a linear regulator is the simplest way to control the DC supply voltage, they are less efficient in terms of power consumption and have fewer uses. With the right feedback, Arduino-based DC converters have a high efficiency (95%) rate
PAPR Reduction of OFDM signals using PTS and Firefly algorithm
Authors: Reddy G. Krishna
Published: June 2023

Abstract: Orthogonal frequency division multiplexing (OFDM) has the following benefits: excessive records fees and dependable transmission over fading channels. A significant disadvantage is the fact that it has an excessive peak-to-average strength ratio (PAPR). Numerous algorithms had been created to minimise the PAPR, every with its very own blessings and drawbacks. The Gaussian Firefly technique and the partial transmit sequence (PTS) are of the best algorithms. The Gaussian Firefly method can be used on this task to reduce PAPR. This approach makes use of swarm intelligence to tune the segment vectors so that you can decorate PAPR performance. As compared to current approaches, the suggested Firefly algorithm-based total PTS (FF-PTS) is a good way to obtain enhanced PAPR characteristics for OFDM signals.
A Cost Effective Smart Home Automation System Using NodeMcu
Authors: Krishna A. Vijaya
Published: June 2023

Abstract: The Internet of Things (IoT) is paving the way for a smart, computing-enabled future in some aspects. Using wireless connectivity and rising automation technologies, all of the appliances in a home may be connected and communicated with.It aims to delegate other responsibilities, such as simple monitoring of various phenomena around us, and to make a variety of tasks easier for users.In this tutorial, we will use NodeMCU to build a cost-effective home automation system. This platform is used to control home appliances such as lighting, fans, and air conditioning from a distance. The fundamental purpose of this proposed effort is to design a system that is affordable (cost-effective), small, and scalable.
Machine Learning Algorithm for Toxic Comments Analysis
Authors: Sri K Ramya , Madhavi Kommineni
Published: June 2023

Abstract: Online comments that are toxic tend to drive other users away from a discussion because they are nasty, abusive, or irrational. The risk of online bullying and harassment limits people from expressing opposing views, which has an impact on the free exchange of ideas. Sites fail to properly promote discussions, which forces many communities to restrict or disable user comments. In order to analyze the toxicity as accurately as possible, this paper will carefully evaluate the prevalence of online harassment. In order to solve the text classification problem and determine the optimal machine learning algorithm based on our assessment metrics for the categorization of harmful comments, we will employ six machine learning algorithms and apply them to our data. We will work to accurately assess the toxicity to reduce its negative consequences, which will encourage organizations to take the necessary action.
Kemampuan Membaca dan Menulis Siswa Disleksia Melalui Metode Simultaneous Multisensory Teaching
Authors: Rismanto Adang
Published: June 2023

Tujuan penelitian ini adalah untuk mengetahui kemampuan membaca dan menulis siswa disleksia melalui penggunaan metode Simultaneous Multisensory Teaching (SMT). Siswa disleksia selain mengalami kesulitan dalam memahami komponen kata dan kalimat, umumnya juga mengalami kesulitan menulis. Salah satu metode yang direkomendasikan oleh Internasional Disleksia Association (IDA) adalah metode Simultaneous Multisensory Teaching. SMT merupakan metode khusus bagi siswa yang mengalami disleksia, memiliki tahapan-tahapan khusus untuk mengembangkan kemampuan siswa dengan mengoptimalkan beberapa alat indera secara terintegrasi. Subjek penelitian ini merupakan partisipan tunggal, yakni siswa yang mengalami disleksia berinisial AMJ merupakan siswa Kelas IV SDN Muktijaya 02. Penelitian ini menggunakan pendekatan penelitian kualitatif dengan metode diskriptif. Teknik pengumpulan data menggunakan wawancara, observasi, dan dokumentasi. Teknik analisis data terdiri atas: 1) reduksi data,2) penyajian data, dan 3) penarikan kesimpulan. Hasil penelitian menunjukkan secara berangsur-angsur kemampuan membaca dan menulis siswa mulai terjadi perubahan. Kemampuan mengenal huruf-huruf yang sering tertukar sudah mulai dikuasai, baik dalam pengucapan saat membaca maupun saat menuliskannya. Demikian pula membaca dan menuliskan kata dan kalimat, sudah ada perubahan dibandingkan hasil pengamatan awal.
KETAHANAN SOSIAL EKONOMI DAN PENDIDIKAN DI ERA NEW NORMAL : Studi Kasus Penguatan Budaya Gotong Royong Secara Virtual Oleh Lazismu Kota Depok
Authors: Solihuddin Heri
Published: June 2023

Era New Normal ditandai dengan gerakan kebangkitan masyarakat pada awal tahun 2021 setelah setahun lebih terhempas badai Covid-19 yang meluluh-lantahkan sendi-sendi sosial kita, ekonomi dan pendidikan adalah dua persoalan yang memiliki implikasi besar dalam tataran kehidupan sosial kita. Karena itu hadirnya kesadaran kolektif masyarakat yang memiliki kepedulian terhadap kondisi disekitarnya sebagai social responsibility harus kita dukung bersama. Tulisan ini merupakan hasil observasi, wawancara dan studi dokumen terhadap program Lazismu Kota Depok. Sedangkan analisis data yang digunakan dalam studi kasus ini adalah analisis data kualitatif dikaitkan dengan gerakan penggalangan dana yang diselenggarakan oleh Lazismu Kota Depok, untuk membantu masyarakat dalam mengatasi masalah sosial masyarakat terdampak Covid-19 khususnya di Kota Depok.Hasilnya menunjukkan bahwa penggalangan dana secara vrtual yang dilakukan oleh Lazismu Kota Depok sangat berkontribusi dalam mewujudkan ketahanan sosial masyarakat terdampak covid-19 khususnya di Kota Depok.
 
The New Normal era is marked by the movement of people's revival after more than a year of the Covid-19 storm that devastated our social joints, economy and education are two issues that have major implications at the level of our social life. Therefore, the presence of a collective awareness of the people who have concern for the surrounding conditions as social responsibility must be supported together. This paper is the result of observations, interviews and document studies of the Depok City Lazismu program, while the data analysis used in this case study is qualitative data analysis associated with the fundraising movement organized by Lazismu Depok City to assist the community in overcoming social problems affected by COVID-19 especially in Depok City. The results show that the virtual fundraising carried out by Lazismu in Depok City greatly contributes to realizing the social resilience of communities affected by COVID-19, especially in Depok City.
EVALUASI PROGRAM PRAKTIK KERJA INDUSTRI DI SMK NEGERI 60 JAKARTA
Authors: Ruhiman Maman , Setiadi Hari , Ernawati
Published: June 2023

Penelitian ini bertujuan untuk mengevaluasi implementasi program praktik kerja industri di SMK Negeri 60 Jakarta. Praktik Kerja Industri adalah kegiatan pembelajaran yang dilakukan di Dunia Usaha/Dunia Industri dan/atau lapangan kerja lain untuk penerapan, pemantapan, dan peningkatan kompetensi peserta didik Sekolah Menengah Kejuruan. Model evaluasi yang digunakan adalah model CIPP dengan pendekatan kualitatif, fokus pada konteks, input, proses dan produk program praktek kerja industri. Pengumpulan data menggunakan studi dokumentasi, wawancara, angket, dan observasi. Uji kredibilitas data dalam penelitian ini menggunakan teknik memperpanjang masa pengamatan dan triangulasi (triangulasi sumber dan triangulasi teknik). Langkah dan teknik analisis data menggunakan persentase, kategorisasi dan deskriptif disesuaikan dengan komponen yang dievaluasi. Hasil temuan menunjukkan: (1) konteks evaluasi, perencanaan program dan tujuan program praktik kerja industri sudah sesuai dengan kebutuhan stakeholder, namun masih ada sebagian kecil peserta didik yang mencari sendiri tempat prakerinnya; (2) input evaluasi, sarana prasarana untuk melaksanakan program sudah terpenuhi dan tempat  praktek kerja industri tersedia pada setiap periodenya namun belum sesuai dengan kebutuhan daya tampung peserta didik yang akan praktik kerja industri; (3) proses evaluasi, peralatan di industri dan guru pembimbing sudah tercukupi serta pelaksanaanya sudah mengikuti ketentuan sekolah, namun masih ditemukan hambatan dalam pelaksanaan prakerin terkait kesenjangan spesifikasi peralatan praktik kejuruan industri dengan yang biasa digunakan di sekolah; (4) produk evaluasi, output program praktek kerja industri tercermin dari rata-rata nilai rapot peserta didik pada  mata pelajaran kejuruan, dimana nilai rapot mata pelajaran kejuruan tiap semester terus meningkat setelah peserta didik melakukan praktik kerja industri, sementara outcome program praktik kerja industri terlihat pada keterserapan tamatan, dimana data keterserapan tamatan di SMK Negeri 60 Jakarta menunjukkan bahwa peserta didik yang telah lulus minimal satu tahun sebelumnya terserap ke dunia kerja seluruhnya.
EVALUASI PROGRAM SISTEM KELAS TUNTAS BERKELANJUTAN SMP LABSCHOOL KEBAYORAN JAKARTA SELATAN
Authors: Murtiningsih  , Setiadi Hari , Ernawati
Published: June 2023

Penelitian ini bertujuan untuk memperoleh informasi dan mengevaluasi program Sistem Kelas Tuntas Berkelanjutan (SKTB). Metode yang digunakan adalah metode kualitatif dengan model CIPP (Context, Input, Process, Product).  Pendekatan yang digunakan dengan pendekatan kualitatif, teknik pengumpuluan data observasi, wawancara, dokumentasi dan kuesioner. Hasil evaluasi ini menyimpulkan bahwa pelaksanaan program Sistem Kelas Tuntas Berkelanjutan (SKTB) SMP Labschool Kebayoran Jakarta Selatan sudah sesuai pedoman visi, misi sekolah, sesuai dengan kebijakan pemerintah melalui kementerian pendidikan dan kebudayaan serta sesuai dengan kebutuhan stakeholder. Hasil Ujian Nasional dan Ujian Sekolah, dari data dokumen terlihat bahwa SMP Labschool Kebayoran menghasilkan hasil rata – rata ujian yang sangat baik, ini menandakan peserta didik yang bermasalah ketuntasan mampu berperan serta menjaga rata – rata nilai Ujian Nasionalnya. Program SKTB berhasil membawa ketidaktuntasan menjadi prestasi di Ujian Nasional. Sebaran data alumni juga menunjukan bahwa peserta program SKTB banyak yang di terima di sekolah negeri dan swasta terbaik, serta program ini memberikan kebermanfaatan bagi para alumni peserta program
EVALUASI PROGRAM PRAKTEK PENGALAMAN LAPANGAN (PPL) DAN KULIAH KERJA NYATA (KKN) TERPADU DI STKIP TAMAN SISWA BIMA
Authors: Meirawan Deddy , Abdul Rahman A. Ghani  , Ernawat  , Ika Irawati
Published: June 2023

Tujuan evaluasi ini adalah untuk mengevaluasi serta mendeskripsikan pencapaian program PPL-KKN terpadu yang dilaksanakan oleh STKIP Taman Siswa Bima. Evaluasi ini menggunakan model CIPP (Context, Input, Process, dan Product) serta menggunakan metode evaluatif yang bersifat deskriptif. Instrumen yang dipergunakan pada pengumpulan datanya adalah observasi, wawancara, serta dokumentasi. Hasil dari evaluasi konteks yang sesuai dengan kebutuhan stakeholder adalah: buku panduan belum ada, visi-misi hanya mengikuti visi-misi kampus, lingkungan KKN ditentukan terlebih dahulu, tujuan utamanya memaksimalkan program tema, persyaratannya ikut PPL-KKN sudah ditentukan, dan kebutuhan utamanya adalah ilmu pengajaran. Hasil evaluasi input untuk sarana dan prasarana adalah 80% layak dan 20% kurang memadai untuk PPL, sedangkan untuk KKN 95% layak, anggaran sangat diminimalisir, 96% SDM terpenuhi. Hasil evaluasi proses, waktu pembelajaran dikurangi sedangkan minat siswa meningkat (PPL), literasi dan numerasi prosesnya sesuai ekspektasi, kewirausahaan kendalanya kemampuan mahasiswa, dan desa wisata terkendala biaya, sedangkan untuk program desa hanya sebagian yang diselesaikan. Hasil evaluasi produk PPL, ada peningkatan prestasi untuk siswa yang diajar, sedangkan output KKN, untuk tema literasi dan numerasi ada peningkatan prestasi dari siswa yang diajar, untuk tema kewirausahaan, mahasiswa sudah belajar menciptakan produk, dan untuk tema desa wisata, tempat rekreasinya sudah diperindah.
Purwarupa Monitoring Status Gunung Api Berbasis Internet of Things
Authors: Rosyady Phisca Aditya , Widotomo Yudi
Published: June 2023

Abstrak— Indonesia merupakan negara yang memiliki banyak  gunung api dengan potensi bencana erupsi gunung api yang cukup tinggi. Erupsi gunung api dapat merugikan penduduk sekitar gunung api. Terdapat penggunaan indikator status dalam penentuan kondisi gunung api aktif. Status gunung api terbagi menjdi  empat yaitu normal, waspada, siaga dan awas. Air dari danau kawah gunung api merupakan salah satu cara yang dapat digunakan untuk mengetahui status dari suatu gunung api. Penelitian ini dilakukan untuk merancang sistem yang dapat memantau status gunung api dengan menggunakan suhu air pada danau kawah. Sistem yang dirancang pada penelitian ini menggunakan sensor DS18B20 yang berguna untuk mendeteksi nilai suhu pada air danau kawah gunung api. Mikrokontroler yang digunakan dalam pembuatan sistem adalah NodeMCU. Data nilai suhu dikirim menggunakan metode Internet of Things (IoT) ke media platform ThingSpeak dan aplikasi Blynk. Sistem akan memberikan informasi status gunung api pada aplikasi Blynk. Status gunung api akan normal jika suhu air danau kawah 0-32°C. Status waspada jika suhu air berada diantara 32°C-37°C. Status siaga jika suhu air berada antara 37°C-39°C. Status awas jika air memiliki suhu melebihi 39°C. Pengujian sistem menghasilkan error suhu sebesar 2,132oC. Kemampuan sistem dalam mendeteksi status gunung api secara realtime dapat berjalan dengan baik dan sesuai dengan batasan yang telah ditetantukan
Analisa Studi Kelayakan Pembangunan PLTS 10 kWp di Graha YPK PLN
Authors: Pawenary Pawenary , Khairunnisyah Putri , Pradana Arditiyan Elyas
Published: June 2023

Perencanaan PLTS di Graha YPK PLN dibutuhkan sebagai sistem back-up atau pengganti untuk mengurangi penggunaan listrik konvensional. Sistem On Grid merupakan sistem Pembangkit Listrik Tenaga Surya yang tidak terhubung dengan jaringan listrik  PLN.   Sistem   On Grid   ini   disebut   juga   dengan   sistem   pembantu dikarenakan PLTS masih membutuhkan supply dari PLN dengan menggunakan modul surya sebagai penghasil energi listrik sesuai dengan kebutuhan yang diperlukan. Perencanaan Pembangkit Listrik Tenaga Surya 52 m2 sistem On Grid dengan komponen PLTS berupa 24 modul dipasang dengan panel surya 450 Wp, 1 buah Inverter berkapasitas 15330 Watt, Radiasi matahari untuk tahun 2021 rata-rata yaitu 4,67. Biaya energi PLTS Graha YPK PLN 52 m2  adalah Rp. 1.444,70/kWh dengan impor sebesar 9.240.4 kWh/Bulan dan eksport sebesar 1380,61 kWh/Bulan. Dengan perhitungan ekonomi, total biaya investasi pada perencanaan ini sebesar Rp. 257.105.000 dengan waktu pengembalian investasi selama 16 tahun.
Prototype Alat Pengering Sepatu Menggunakan Sensor DHT 22 Berbasis Internet Of Things (IoT)
Authors: Hidayatullah Haris , Imaduddin Ilmirrizki , Muhtadi Ahmad
Published: June 2023

Abstrak— Pengering Sepatu merupakan salah satu alat alternatif di musim penghujan dan di waktu malam hari dikarenakan tidak adanya panas matahari. Pengering sepatu ini jika dipadukan dengan IoT maka akan menjadi suatu alat yang bersinergi dengan kemajuan teknologi saat ini. Penelitian ini ditujukan mengeringkan sepatu dengan mengatur temperatur pada box pengering sepatu. Pengendaliannya dilakukan dengan menyalakan Lampu Pijar dan Kipas DC Menggunakan Smartphone dan Exchaust Fan Otomatis. Dari Hasil Penelitian Tersebut Diperoleh Data set point 710C dengan waktu 65 menit sepatu kering dan nilai rata-rata kenaikan suhu menuju set point adalah 0,61˚C setiap menitnya
Analisis Pengaruh Posisi Dan Media Penghalang Terhadap Gelombang Keluaran Pada Wireless Power Transfer
Authors: Cahya Baswara Ahmad Raditya , Sari Nurjanah Arvika
Published: June 2023

Abstrak— Energi listrik tergolong sebagai kebutuhan primer yang diperlukan manusia. Berbagai kebutuhan manusia memerlukan mobilitas yang tinggi seperti contohnya kendaraan listrik atau peralatan listrik yang lainnya. Kabel yang terlalu banyak digunakan dapat membatasi mobilitas perangkat. Oleh karena itu diperlukan solusi agar mobilitas pada perangkat listrik dapat bekerja dengan baik. Salah satu contoh aplikasi Wireless Power Transfer adalah proses pengisian daya nirkabel. Perangkat Wireless Power Transfer perlu diketahui karakteristiknya guna menghasilkan keluaran yang sesuai agar dapat digunakan pada aplikasinya. Metode yang digunakan dalam penelitian ini adalah eksperimen. Eksperimen dilakukan dengan memberi perubahan posisi dan media penghalang diantara kumparan transmitter dan kumparan receiver. Variasi posisi dilakukan memberikan jarak,sudut,dan pergeseran pada kumparan. Variasi media penghalang digunakan menggunakan bahan isolator dan konduktor. Semakin dekat jarak antara transmitter dan receiver semakin besar tegangan listrik yang dihasilkan oleh wireless power transfer. Posisi sudut pada transmitter dan receiver mempengaruhi tegangan keluaran yang dihasilkan. Semakin dekat posisi sudut antara transmitter dan receiver menghasilkan luas bidang medan magnet yang semakin besar sehingga menghasilkan tegangan receiver yang besar. Pergeseran yang terjadi pada receiver yang semakin besar menghasilkan tegangan receiver yang semakin kecil pada perangkat wireless power transfer.  Media penghalang bahan isolator tidak mempengaruhi tegangan receiver yang dihasilkan sedangkan media penghalang berupa konduktor akan mempengaruhi tegangan receiver yang dihasilkan.
Good corporate governance as moderation on sustainability report disclosure
Authors: Sari Maylia Pramono , Dewi Stya Rahma Karmida , Raharja Surya , Dinanti Aldila , Rizkyana Fitrarena Widhi
Published: June 2023

This study aims to analyze the financial indicators on the disclosure of sustainability reports, and the role of good corporate governance can strengthen the disclosure of sustainability reports. The novelty of this research is the role of the moderating variable of the audit committee and the board of directors is expected to be able to provide a solution to the inconsistency of the results of previous studies. The population of this study is mining companies listed on the Indonesia Stock Exchange (IDX) for the 2017–2019 period because they are high-profile companies that significantly impact environmental damage. This study shows that the variables of liquidity, profitability, and leverage have a positive influence on the disclosure of the sustainability report, while the size of the company has a negative effect (Aniktia & Khafid, 2015). The board of directors can strengthen the relationship between company size and profitability in the disclosure of sustainability reports and weaken the relationship between company size, liquidity, profitability, and leverage in the disclosure of sustainability reports. Companies can use the results of this study to consider the application of sustainability reports and investors can increase their attention to financial reports and sustainability in choosing where to invest.
Ten Years with the Journal for Artistic Research. Impact and Challenges
Authors: Journal for Artistic Research  , Mariela Yeregui
Published: June 2023

For a presentation during the 13th SAR conference 2022 in Weimar various editors of JAR prepared statements and contributions to reflect on the first ten years of the journal and to introduce some of the current developments. The session was introduced by Henk Borgdorff.

This exposition was played during the presentation, which included live elements and discussions. Unfortunately, there is no recording of the session itself.
A Finite-Discrete Element Model for Simulating Collision and Fragmentation of Nanoparticle Agglomerates
Authors: Zhang Zuyang , Liu Daoyin
Published: June 2023

The fragmentation/adhesion behavior of nanoparticle agglomerate
collision, which is challenging to model, is a crucial factor affecting
fluidization. In this study, a discrete-finite element method (FDEM)
based cohesive crack model is developed to simulate normal collisions
between a complex agglomerate (around 1 mm) and a wall. In the FDEM
model, the complex agglomerate is built from primary agglomerates
(around a few micrometers), whose adhesive force and Young’s modulus are
measured by an atomic force microscope (AFM). Simulation results agree
well with the collision experiments. Furthermore, the effects of
adhesive force, solid holdup and Young’s modulus on fragmentation
behavior are explored, and a two-parameter Weibull function is found to
fit well with the fragment distribution. The current FDEM model provides
a link between the collision behavior and agglomerate properties. The
detailed fragmentation/adhesion information can be useful for developing
a macro model for agglomerate collision in the future.
Modification of food allergy on the associations between early-life exposure to size-specific particulate matter and childhood allergic rhinitis
Authors: Zhang Ling , Wu Chuansha , Tang Haoran , Wei Jing , Chen Hao , zhao zhuohui , Norbäck Dan , Zhang Xin , Lu Chan , Yu Wei , Wang Tingting , Zheng Xiaohong , Li Rui , Zhang Yunquan
Published: June 2023

Background: Exposure to ambient particulate matter (PM) has
been associated with an increased risk of allergic rhinitis in children.
However, it is unclear whether food allergy modifies the association
between PM exposure and childhood allergic rhinitis.
Objectives: We aimed to evaluate the modification of food
allergy on the association between PM exposure and allergic rhinitis in
preschool children. Methods: We adopted a cross-sectional study
and conducted a questionnaire survey among preschool children aged 3 to
6 years in 7 cities in China from June 2019 to June 2020 to collect
information on allergic rhinitis. A mature machine learning-based
space-time extremely randomized trees model was applied to estimate
early-life, prenatal, and first-year exposure of PM ,
PM and PM at 1 × 1-km resolution.
We used a combination of multilevel logistic regression and restricted
cubic spline functions to quantitatively assess whether food allergy
modifies the associations between size-specific PM exposure and the risk
of childhood allergic rhinitis. Results: The adjusted ORs for
childhood allergic rhinitis among the children with food allergy as per
interquartile range (IQR) increase in early-life PM ,
PM and PM were significantly
higher than the corresponding ORs among the children without food
allergy [e.g. OR: 1.57, 95% CI (1.32, 1.87) vs. 1.29, 95% CI (1.18,
1.41), for per IQR increase in PM (9.8 μg/m
)]. The similar patterns were observed for both
prenatal and first-year size-specific PM exposure. The interactions
between food allergy and size-specific PM exposure on childhood allergic
rhinitis were statistically significant (all p-
< 0.001). Conclusions: Food
allergy, as an important part of the allergic disease progression, may
modify the association between ambient PM exposure and the risk of
childhood allergic rhinitis. Children with food allergy should pay more
attention to minimize outdoor air pollutants exposure to prevent the
further progression of allergic diseases.
Predictor-Based Collision-Free and Connectivity-Preserving Resilient Formation Control for Multi-Agent Systems under Sensor Deception Attacks
Authors: Shu Zhou , Liu Qidong , Yang Yang
Published: June 2023

Malicious attack is a potential threat for collision-free and
connectivity-preserving formation control. In this paper, a
predictor-based collision-free and connectivity-preserving resilient
formation control strategy is presented for a class of nonlinear
multi-agent systems under sensor deception attacks. The predictor states
are designed to replace original states in the control strategy, and a
novel attack compensator is constructed to suppress sensor deception
attack. Prediction errors, instead of compromised errors, are introduced
to update radial basis function neural networks (RBFNNs) weights. To
achieve collision avoidance and connectivity preservation, a
transformation function in logarithmic form is proposed. To avoid static
and dynamic obstacles, an improved artificial potential function (APF)
combined with their velocity information is constructed. Furthermore, to
solve the local minimum in the combining of transformation function and
APF, a virtual force is added to make agents get away. Based on the
Lyapunov stability criterion, all closed-loop signals are bounded and
all control objectives can be achieved. The simulation of a group of
quadrotors has verified the effectiveness of the proposed resilient
control strategy.
Pan-genome analysis highlights the role of structural variation in the evolution and environmental adaptation of Asian honeybees
Authors: Li Yancan , Yao Jun , Sang Huiling , Wang Quangui , Su Long , Zhao Xiaomeng , Xia Zhenyu , Wang Feiran , Wang Kai , Lou Delong , Wang GuiZhi , Waterhouse Robert , Wang Huihua , Luo Shudong , Sun Cheng
Published: June 2023

The Asian honeybee, Apis cerana, is an ecologically and economically
important pollinator. Mapping its genetic variation is key to
understanding population-level health, histories, and potential
capacities to respond to environmental changes. However, most efforts to
date were focused on single nucleotide polymorphisms (SNPs) based on a
single reference genome, thereby ignoring larger-scale genomic
variation. We employed long-read sequencing technologies to generate a
chromosome-scale reference genome for the ancestral group of A. cerana.
Integrating this with 525 resequencing datasets, we constructed the
first pan-genome of A. cerana, encompassing almost the entire gene
content. We found that 31.32% of genes in the pan-genome were variably
present across populations, providing a broad gene pool for
environmental adaptation. We identified and characterized structural
variations (SVs) and found that they were not closely linked with SNP
distributions, however, the formation of SVs was closely associated with
transposable elements. Furthermore, phylogenetic analysis using SVs
revealed a novel A. cerana ecological group not recoverable from the SNP
data. Performing environmental association analysis identified a total
of 44 SVs likely to be associated with environmental adaptation.
Verification and analysis of one of these, a 330 bp deletion in the
Atpalpha gene, indicated that this SV may promote the cold adaptation of
A. cerana by altering gene expression. Taken together, our study
demonstrates the feasibility and utility of applying pan-genome
approaches to map and explore genetic feature variations of honeybee
populations, and in particular to examine the role of SVs in the
evolution and environmental adaptation of A. cerana.
ERP correlates of self-referential processing moderate the association between pubertal status and disordered eating in preadolescence
Authors: Liu Pan , Tan Jaron
Published: June 2023

Preadolescence is a critical period for the onset of puberty and
eating-related psycho-pathology. More advanced pubertal status is
associated with elevated eating pathology. However, it was unclear
whether this association was moderated by self-referential processing,
an important, modifiable cognitive risk for various forms of
psychopathology, including eating problems. Fur-ther, no study has
examined the neural correlates of self-referential processing in
relation to eating pathology. To address these gaps, we examined how the
association between pubertal status and disordered eating was moderated
by self-referential processing in a community sample of 115
nine-to-12-year-old preadolescents (66 girls; Mean age/SD =10.98/1.18
years; 87.5% White). Youths reported their pubertal status and
disordered eating behaviors and completed an ERP ver-sion of the
Self-Referent Encoding Task (SRET) to assess self-referential
processing. A Principal Component Analysis of the ERP data identified an
anterior late positive potential (LPP) in both the positive and negative
SRET conditions. The LPP in the positive condition moderated the
positive association between pubertal status and disordered eating
behaviors, such that this association was significant for youths with a
smaller LPP toward positive self-referential cues, but non-significant
for those showing a larger LPP toward positive self-referential cues.
These results suggest that a deeper processing of positive
self-referential information, indicated by a potentiated LPP, may weaken
the negative impact of pubertal status on disordered eating. Our
findings also suggest that enhancing positive self-referential
processing may be a useful tool in preventing the development of eating
pathology in preadolescents, especially for those with more advanced
pubertal status.
Impact of individual competence on agile effort estimation in academic setting
Authors: Fürst Luka , Hovelja Tomaž , Poženel Marko , Vavpotič Damjan
Published: June 2023

Effort estimation is an important activity in agile software
development. The goal of the presented study was to determine the
influence of individual competence on software development effort
estimation. In particular, we measured both the accuracy of effort
estimation and the duration of the estimation process itself, both for
three different estimation methods. The subjects of our study were teams
of students of a graduate-level software engineering course at the
University of Ljubljana, Faculty of Computer and Information Science.
Based on the grades that individual students attained in their
undergraduate study, we classified each team as ‘high-competence’ or
‘low-competence’ and additionally as ‘heterogeneous’ or ‘homogeneous’
(the criterion here being the variance of the members’ average grades).
We found out that there was no significant difference in effort
estimation accuracy neither between high-competence and low-competence
teams nor between heterogeneous and homogeneous teams, regardless of
which estimation method was used. However, high-competence teams spent
significantly less time on effort estimation than low-competence ones.
Likewise, for two of the employed estimation methods, heterogeneous
teams completed effort estimation in a significantly shorter time than
homogeneous teams. These results might benefit both academic and
professional community.
Method for determining area of parametric resonances of wheelset of railway vehicle
Authors: Nikolaev Viktor , Musayev Janat , Zhauyt Algazy , Makhanova Aizhan , Mukatanova Zhanar , Kabylkarim Anar , Kozhakmetov Elnur
Published: June 2023

Resonance phenomena take place not only in the field of sound and electricity, but also in mechanics, optics, physics, it is known that resonance can be, for example, a cause of destruction of a bridge, tunnel under the action of periodic forces, train derailment due to intense vibrations of rolling stock. It is shown that in mechanical systems with one degree of freedom there can be only simple parametric resonance and the number is countable. The article proposes a method for determining areas of parametric resonances of a railway carriage wheel pair. On the basis of the trigonometric method main areas of parametric resonance of railway carriage wheel pair have been established. To study the vertical displacements of units and parts of the vehicle, the authors proposed a design scheme for a conditional uniaxial vehicle. The authors found that for a given range of parametric perturbation coefficient variation it is enough to consider only one harmonic, and secondly, the width of the resonance zone increases with growth of the parametric perturbation coefficient. The performed studies have established that the longitudinal uneven elasticity of the railway track creates sufficiently large transfer accelerations acting on the rolling stock units, and the maximum amplitude of the wheelset bouncing due to the longitudinal uneven elasticity of the track is in order of magnitude higher than the same indicator from the geometric unevenness on the rail tread surface. The results obtained in establishing the areas of parametric resonances of the wheelset of a railway vehicle will be useful in developing recommendations for normalizing the values of the uneven elasticity of the railway track.