bluuebunny/crossref_metadata_2025 huggingface dataset:
Perbandingan Algoritma K-Medoids Dan K-Means Dalam Pengelompokan Kecamatan Berdasarkan Produksi Padi Dan Palawija Di Jember
Authors: Khan Akhmad Safrin Sadad , Fatekurohman Mohamat , Dewi Yuliani Setia
Published: January 2024

Latar   Belakang: Pengelolaan tanaman pangan sangat penting untuk mendukung ketahanan pangan. Dataset menunjukkan variasi hasil panen padi dan tanaman pokok lainnya. Variasi hasil panen tersebut memerlukan pengelompokan wilayah berdasarkan hasil panen. Algoritma yang umum digunakan dalam analisis clustering adalah K-means dan K-medoids. Terdapat pada kedua algoritma tersebut yiatu K-means kompleksitas waktu lebih cepat dan K-medoids lebih tahan dengan data outlier. Sehingga perbandingan kedua algoritma dapat membantu pemilihan algoritma yang lebih baik dalam kasus tertentu
Tujuan: memperoleh hasil perbandingan cluster terbaik dengan menggunakan algoritma  K-means dan K-medoids di Kabupaten Jember berdasarkan produksi padi dan palawija dan mengetahui hasil clustering dengan algoritma pengelompokan terbaik Kecamatan Jember berdasarkan produksi padi dan palawija.
Metode: Algoritma clustering yang digunakan yaitu K-means dan K-medoids. Metode evaluasi menggunakan Davies Bouldien Index. Sumber data berasal dari data sekunder dari BPS Kabupaten Jember tahun 2020.
Hasil: Diperoleh algoritma terbaik yaitu K-means dengan DBI 0,648 lebih kecil dibandingan K-medoids 0,886 dibagi menjadi 6 klaster yaitu klaster satu sebanyak 1 kecamatan, klaster dua sebanyak 3 kecamatan, klaster tiga sebanyak 2 kecamatan, klaster klaster empat sebanyak 3 kecamatan, klaster lima sebanyak 8 kecamatan dan klaster 6 sebanyak 14 kecamatan.
Kesimpulan: K-means dengan 6 cluster menjadi algoritma terbaik untuk pengelompokan produksi tanaman pangan di Kabupaten Jember.
СИСТЕМА КОНТРОЛЮ І МОНІТОРИНГУ ДЕРЖАВНОЇ ДОПОМОГИ СУБ’ЄКТАМ ГОСПОДАРЮВАННЯ
Authors: Андрухович Дана
Published: January 2024

У статті розглядаються наукові підходи до визначення спільних та відмінних рис моніторингу та контролю державної допомоги суб’єктам господарювання з метою побудови ефективної системи. Державна допомога є невід’ємною складовою системи державного регулювання, особливо у періоди економічного шоку. Згідно чинного законодавства, а саме Закону України «Про державну допомогу суб’єктам господарювання», моніторинг державної допомоги - збирання та проведення аналізу інформації про державну допомогу з метою здійснення контролю за дотриманням вимог цього Закону та рішень Уповноваженого органу з питань державної допомоги (Антимонопольний комітет України), визначеного цим Законом, а також підготовка та подання звітності про державну допомогу. Під контролем процесу надання державної допомоги суб’єктам господарювання розуміють сукупність дій контролюючого характеру, метою здійснення яких є запобігання, виявлення і усунення правопорушень. В Законі України «Про державну допомогу суб’єктам господарювання» серед контрольних заходів у сфері державної допомоги, передбачено лише проведення моніторингу Антимонопольним комітетом України. Визначено мету, основні принципи, завдання та функції моніторингу та контролю. Висвітлено завдання та складові процедури контролю та моніторингу державної допомоги в ЄС. Міжнародні зобов’язання України щодо формування системи контролю державної допомоги випливають із міжнародних договорів. Показано, що моніторинг і контроль мають низку спільних ознак та інструментів, як-от: процедури спостереження, збору та набуття інформації, її дослідження, оцінювання та аналізу, обліку, інформування тощо. Відмінність між ними полягає в тому, що порівняно з моніторингом контроль є переважно управлінсько-аналітичним й правоохоронним впливом, що визначає перелік його завдань. Визначено, що основою ефективності системи контролю та моніторингу державної допомоги є прозорість процедури її надання. Показано, що забезпечення ефективності базується на дотриманні критерію допустимості, що передбачає відсутність негативного впливу на конкуренцію.
ІННОВАЦІЙНИЙ РОЗВИТОК ПРОЄКТНОГО МЕНЕДЖМЕНТУ В УКРАЇНІ
Authors: Большая Оксана , Іщенко Інна
Published: January 2024

Стаття досліджує актуальні аспекти інноваційного проєктного менеджменту в Україні та світі та висвітлює його значення у сучасному бізнес-середовищі. Проводиться аналітика ключових понять, принципів та інструментів інноваційного менеджменту, надаються приклади впровадження нових методологій у реалізації інноваційних проєктів. У статті розглядається роль та вплив інноваційного проєктного менеджменту на стратегічний розвиток підприємств та організацій. Увага приділена сучасним тенденціям у сфері інноваційного проєктного менеджменту, зокрема використанню технологій штучного інтелекту, проведенню аналітики даних та глобальної співпраці, розглядаються проблемні питання відносно організації та впровадження інновацій та визначення можливих стратегій щодо їхнього подолання. Стаття надає рекомендації щодо оптимального використання інноваційного проєктного менеджменту для досягнення конкурентної переваги та стійкого розвитку в умовах постійної зміни технологій та вимог ринку. Акцентується увага на розгляді питання розвитку людського капіталу, адже саме через впровадження інновацій у проєктному менеджменті також відбувається надання нових навичок та підвищення кваліфікації менеджерів проєктів, щоб вони мали необхідні знання та навички по впровадженню новітніх технологій та методик. Сприяння, щодо впровадження інновацій у сфері управління проєктами розглядається як ключовий фактор для досягнення конкурентних переваг. Автори також наголошують на важливості співпраці та обміну досвідом між компаніями, урядовими організаціями та навчальними установами, які можуть сприяти обміну кращими практиками та інноваційними ідеями в галузі проєктного менеджменту. У статті розглянуті актуальні тенденції та інноваційні підходи щодо розвитку проєктного менеджменту в Україні, адже, широке впровадження та використання сучасних інноваційних технологій у проєктному менеджменті важливі для постійного розвитку та ефективного виконання проєктів. Методології інноваційного проєктного менеджменту базуються на використанні таких як Agile, Scrum, або Waterfall, що повною мірою сприяє інноваційному підходу до управління проєтами та значною мірою полегшує та покращує процеси управління проєктами.
THE SIGNIFICANCE OF LEADERSHIP SUPPORT TOWARDS EFFECTIVE CONTRACT MANAGEMENT
Authors: Sarkawi Azizi Ahmad , Hassan Mohamad Ghozali , Melan Mustakim
Published: January 2024

This study examines the role of leadership support in contract management within the Ministry of Defence, focusing on the asset and equipment maintenance crucial for national security. It aims to assess the current level of leadership support among Supply & Secretariate Officers in the Royal Malaysian Navy and their understanding of its importance. By addressing this gap, this study intends to improve contract management practices for enhanced national security within the ministry. A quantitative survey was used to obtain data through stratified random sampling. The survey was initiated in April 2022 and lasted five months. The questionnaires were distributed to the Supply & Secretariate Officers who handle the asset and equipment maintenance contract of the Ministry of Defence. A total of 206 questionnaires were distributed through electronic means, such as email and WhatsApp. Out of 206 questionnaires, only 204 has been analysed as the other two were not complete. The results revealed that leadership commitment significantly improves contract-related activities. When top executives prioritize contract management, it creates a corporate environment in which rules are followed, responsibility is clear, and employees are more diligent. This commitment leads organizations to allocate resources, set clear contract guidelines, and invest in advanced contract technology, making contract management more efficient. In summary, leadership commitment fosters a culture of excellence in contract management, emphasizing the importance of contracts, compliance, and attention to detail, ultimately improving overall operational efficiency.
IMPLEMENTASI FAILOVER GATEWAY RECURSIVE DAN LOAD BALANCING MENGGUNAKAN METODE PER CONNECTION CLASSIFIER
Authors: Darmawan Muhammad Farhan , Risnanto Slamet
Published: January 2024

Kebutuhan internet pada zaman ini sangat berperan penting. Maka diperlukan koneksi yang sangat stabil untuk menunjang kebutuhan internet yang maksimal. Dengan koneksi jaringan internet satu internet service provider (ISP) saja ternyata masih mengalami performa yang buruk sehingga mengganggu aktivitas kebutuhan internet tersebut dan dibutuhkan solusi agar performa menjadi lebih baik lagi. Salah satu untuk meningkatkan performa jaringan internet diperlukan lebih dari dua ISP yaitu dengan menggunakan failover dan load balancing. Pada penelitian ini mencoba menerapkan failover recursive gateway dan load balancing metode PCC menggunakan mikrotik. Dengan mengamati parameter quality of service (QOS) nilai rata-rata dari throughput, packet loss, delay dan jitter. Hasil diterapkan failover gateway recursive dan load balancing metode PCC adalah failover gateway berhasil membantu di saat koneksi mengalami kendala terputus maka failover bekerja untuk memindahkan koneksi sementara ke ISP lain yang menjadi backup sedangkan load balancing berhasil menyeimbangkan traffic agar stabil pada high traffic. Hasil pengamatan parameter QOS dari kinerja jaringan penelitian ini mendapatkan nilai rata-rata throughput 2750 Kbps, packet loss 0%, delay 2,984, jitter 2.98 dengan mendapatkan indeks 3.75 dan kategori memuaskan dengan hasil sesuai yang diharapkan.
PENGUJIAN SISTEM PENYIRAMAN TANAMAN OTOMATIS BERBASIS IOT
Authors: Subagja Fajar Eka , Supriyadi Adimas Prasetyo , Kurniadi Ananda Rizky , Saragih Yuliarman
Published: January 2024

Perkembangan teknologi pada era ini dari hari kehari semakin canggih, banyak manusia yang menginginkan pekerjaan nya lebih efisien dan cepat selesai, manusia saat ini sangat bergantung terhadap teknologi, dari hal itu banyak manusia yang menciptakan teknologi untuk memudahkan dalam menyelesaikan sebuah pekerjaan. Aktivitas penyiraman tanaman merupakan hal yang penting untuk menjaga tanaman tetap segar dan sehat. Hal ini dikarenakan semua makhluk hidup membutuhkan air untuk bertahan hidup, termasuk tanaman. Penyiraman otomatis berbasis IoT merupakan sistem yang dirancang untuk memudahkan aktivitas penyiraman tanaman. Tujuan penelitian ini adalah untuk mengetahui kinerja sistem penyiraman tanaman otomatis berbasis WEB yang memanfaatkan koneksi internet untuk kontrol dan monitoring. Alat ini menggunakan komponen Nodemcu ESP8266 sebagai mikrokontroler, inputan yang dipakai adalah sensor kelembaban tanah yang berfungsi sebagai pendeteksi nilai kelembaban tanah, untuk aktuator menggunakan relay yang berfungsi sebagai saklar pompa DC 5v, dan outputnya menggunakan OLED sebagai penampil nilai persen kelembaban tanah, lalu untuk integrasi pengiriman data ke WEB menggunakan firebase. Berdasarkan hasil penelitian ini, sistem penyiraman tanaman otomatis yang dirancang dapat bekerja dengan baik. Sistem ini dapat melakukan penyiraman secara otomatis  ketika kelembaban tanah di bawah 50%, tetapi respon pengiriman data sensor ke WEB masih terdapat delay yaitu dengan delay tertinggi 133 detik.
Alectinib-induced anemia with acanthocytosis: To proceed or discontinue treatment in Non-Small Cell Lung Cancer patients?
Authors:   Serviço de Oncologia, Hospital de Faro, Faro, Portugal, Simões Filipa , Sequeira Telma ,   Serviço de Oncologia, Hospital de Faro, Faro, Portugal,   Departamento de Genética, Faculdade Medicina Universidade de Lisboa, Rosa Rita ,   Serviço de Oncologia, Hospital de Faro, Faro, Portugal, Desterro Joana ,   Serviço de Oncologia, Hospital de Faro, Faro, Portugal, Almodovar Maria ,   Serviço de Oncologia, Hospital de Faro, Faro, Portugal
Published: January 2024

ALK gene rearrangements are important oncogenic driver alterations in non-small-cell lung cancer and a predictive factor. When present, it enables the use of tyrosine kinase inhibitors, such as Alectinib. This drug can lead to anemia and erythrocyte morphological changes. We present the case of a 72-year-old patient diagnosed with stage IV non-small cell lung cancer treated with Alectinib in the first line. The drug was very effective in reducing the tumor size but with G2 anemia and acanthocytosis as side effects. Anemia was improved once Alectinib was replaced by Brigatinib.
Comparing Machine Learning Techniques for Detecting Chronic Kidney Disease in Early Stage
Authors: Md Abdur Rakib Rahat  , MD Tanvir Islam  , Duc M Cao  , Maliha Tayaba  , Bishnu Padh Ghosh  , Eftekhar Hossain Ayon  , Nur Nob  , Aslima Akter  , Mamunur Rahman  , Mohammad Shafiquzzaman Bhuiyan
Published: January 2024

In medical care, side effect trial and error processes are utilized for the discovery of hidden reasons for ailments and the determination of conditions. In our exploration, we used a crossbreed strategy to refine our optimal model, improving the Pearson relationship for highlight choice purposes. The underlying stage included the choice of ideal models through a careful survey of the current writing. Hence, our proposed half-and-half model incorporated a blend of these models. The base classifiers utilized included XGBoost, Arbitrary Woods, Strategic Relapse, AdaBoost, and the Crossover model classifiers, while the Meta classifier was the Irregular Timberland classifier. The essential target of this examination was to evaluate the best AI grouping techniques and decide the best classifier concerning accuracy. This approach resolved the issue of overfitting and accomplished the most elevated level of exactness. The essential focal point of the assessment was precision, and we introduced a far-reaching examination of the significant writing in even configuration. To carry out our methodology, we used four top-performing AI models and fostered another model named "half and half," utilizing the UCI Persistent Kidney Disappointment dataset for prescient purposes. In our experiment, we found out that the AI model XGBoost classifier gains almost 94% accuracy, a random forest gains 93% accuracy, Logistic Regression about 90% accuracy, AdaBoost gains 91% accuracy, and our proposed new model named hybrid gains the highest 95% accuracy, and performance of Hybrid model is best on this equivalent dataset. Various noticeable AI models have been utilized to foresee the event of persistent kidney disappointment (CKF). These models incorporate Naïve Bayes, Random Forest, Decision Tree, Support Vector Machine, K-nearest neighbor, LDA (Linear Discriminant Analysis), GB (Gradient Boosting), and neural networks. In our examination, we explicitly used XGBoost, AdaBoost, Logistic Regression, Random Forest, and Hybrid models with the equivalent dataset of highlights to analyze their accuracy scores.
Revolutionizing Retail: A Hybrid Machine Learning Approach for Precision Demand Forecasting and Strategic Decision-Making in Global Commerce
Authors: MD Tanvir Islam  , Eftekhar Hossain Ayon  , Bishnu Padh Ghosh  , MD, Salim Chowdhury  , Rumana Shahid  , Aisharyja Roy puja  , Sanjida Rahman  , Aslima Akter  , Mamunur Rahman  , Mohammad Shafiquzzaman Bhuiyan
Published: January 2024

A thorough comparison of several machine learning methods is provided in this paper, including gradient boosting, AdaBoost, Random Forest (RF), XGBoost, Artificial Neural Network (ANN), and a unique hybrid framework (RF-XGBoost-LR). The assessment investigates their efficacy in real-time sales data analysis using key performance metrics like Mean Absolute Error (MAE), Mean Squared Error (MSE), and R2 score. The study introduces the hybrid model RF-XGBoost-LR, leveraging both bagging and boosting methodologies to address the limitations of individual models. Notably, Random Forest and XGBoost are scrutinized for their strengths and weaknesses, with the hybrid model strategically combining their merits. Results demonstrate the superior performance of the proposed hybrid model in terms of accuracy and robustness, showcasing potential applications in supply chain studies and demand forecasting. The findings highlight the significance of industry-specific customization and emphasize the potential for improved decision-making, marketing strategies, inventory management, and customer satisfaction through precise demand forecasting.
Arbitration and Appraisal: Rent Reset Issues
Authors:   International Valuation Consultants Inc., Suite 38, Matheson Mews, 2601 Matheson Boulevard East, Mississauga, Ontario L4W 5A8 Canada. E-mail: info@intval.com, Sevelka Tony
Published: January 2024

Commercial leases often contain arbitration clauses to address disputes between a landlord and tenant. One of the most common disputes arbitrated centers on the determination of market rent or rent as defined or described in the lease, when the parties are unable to reach agreement through negotiation. Often the arbitration clause in the lease will dictate that an appraiser possessing certain professional qualifications and experience is to be selected and mutually appointed or party-appointed if an arbitral panel is contemplated. A determination of the rent to be fixed by the arbitrator or arbitral panel either during the term of the lease or at the end of the lease pursuant to an option to extend or renew the lease often requires evidence from real estate professionals, which typically include valuators. An appraiser appropriately qualified to act as an arbitrator, coupled with an effective appraisal strategy, should reduce the time required to complete the arbitration, and result in cost savings to both parties. Depending on the jurisdiction in which the property is located, the complexity of the valuation issue(s) or the amount of rent in dispute, it may be appropriate for each party to have its own appraisal report independently reviewed by a qualified appraiser prior to the arbitration. This article explores the decision to arbitrate and some of the issues encountered through the presentation of case studies, the role of an appraiser as an arbitrator, and the expectations of an appraiser acting as an expert witness.
Potenciar el aprendizaje por medio del movimiento
Authors: Ogaz Valdez Elvira , Meléndez Anchondo Angélica
Published: January 2024

En el presente trabajo se maneja una posibilidad de potenciar el aprendizaje en los estudiantes por medio del movimiento a través de la técnica Brain Gym Gimnasia Cerebral. Inicialmente se da un panorama general sobre las necesidades que se identifican dentro del aula, considerándose una de ellas la diversidad en los estilos de aprendizaje; posteriormente se explican fundamentos teóricos que justifican esta técnica aplicada en estudiantes incluyendo ejemplos que se pueden observar dentro de un salón de clases, así como casos en los cuales los ejercicios han apoyado en el desarrollo de aprendizajes. Finalmente se presenta una conclusión donde se considera la importancia de la atención a la diversidad generando con ello un estudiante competente a través de los ejercicios de Brain Gym Gimnasia Cerebral.
FAKTOR-FAKTOR YANG MEMPENGARUHI KEIKUTSERTAAN IBU DALAM PELAKSANAAN KELAS IBU HAMIL
Authors: Andriani Lusi , Ratna Karina Dwi , Mariati Mariati
Published: January 2024

Data World Health Organization (WHO) tahun 2020 kegiatan kelas ibu hamil kunjungannya masih rendah. Tujuan penelitian diketahui faktor-faktor yang mempengaruhi Keikutsertaan ibu Dalam Pelaksanaan Kelas Ibu hamil di Wilayah Kerja Puskesmas Kandang Kota Bengkulu. Jenis Penelitian Crossectional. Populasi pada penelitian ini seluruh ibu hamil dengan usia kehamilan ? 37 minggu di Wilayah Kerja Puskesmas Kandang dari bulan januari 2023 s/d 5 Februari 2023 sebanyak 43 ibu hamil, menggunakan teknik total sampling. Hasil pengetahuan cukup-baik 62,8%, dukungan suami mendukung 55,8%, paritas multipara/grande 60,5%, 53,5% dengan ekonomi rendah, keikutsertaan kelas ibu hamil tidak aktif 65,1%. Hasil uji analisa bivariat didapatkan nilai p-value = ? ? 0,05 yang menunjukan ada hubungan signifikan  antara pengetahuan, dukungan suami, paritas, dan ekonomi Keikutsertaan ibu Dalam Pelaksanaan Kelas Ibu hamil di Wilayah Kerja Puskesmas Kandang Kota Bengkulu, dengan faktor yang paling dominan adalah faktor paritas pada ibu.Disarankan kepada pemegang program kelas ibu hamil agar memberikan materi lebih menarik, inovatif dan adaptif. Membuat grup whatsapp guna memberikan info,mengingatkan kembali jadwal. Memberikan sosial support suami atau keluarga lainnya
HUBUNGAN PENGETAHUAN DAN MOTIVASI IBU TERHADAP PERKEMBANGAN ANAK PRA SEKOLAH DI PUSKESMAS PADANG SERAI KOTA BENGKULU
Authors: Syaputry Sysca , Asmariyah Asmariyah , Yusanti Linda , Himalaya Dara , Novianti Novianti
Published: January 2024

Anak prasekolah mengacu pada usia 5-6 tahun. Jumlah anak pra-sekolah di Indonesia sekitar 21.990 ribu jiwa. Namun, dari jumlah tersebut, Indonesia tidak terlepas dari permasalahan kesehatan yaitu 56,34 % anak prasekolah mengalami keterlambatan perkembangan. Pengetahuan  ibu  baik  dan  cukup  dapat  mempengaruhi  sikap  dan perilaku  ibu  dalam  memberikan  stimulasi  pada  anaknya . Selain pengetahuan ibu, motivasi ibu merupakan hal yang sangat penting dalam memberikan perkembangan pada anaknya.
Tujuan penelitian ini adalah untuk mempelajari hubungan pengetahuan dan motivasi ibu terhadap perkembangan anak pra sekolah di Puskesmas Padang Serai Kota Bengkulu. Dalam penelitian ini menggunakan Metode penelitian yang adalah penelitian survey analitik yaitu dengan pendekatan Cross Sectional. Jumlah sampel 43 responen diambil dengan teknik accidental sampling, pengumpulan data menggunakan data primer, diolah dan dianalisis dengan menggunakan analisis univariat dan analisis bivariat menggunakan analisis chi-square.
Hasil penelitian ini adalah dari 43 responden terdapat 2 anak usia pra sekolah dengan perkembangan penyimpangan, 12 ibu dengan pengetahuan kurang, 26 ibu mempunyai motivasi yang kurang baik terhadap perkembangan anak usia pra sekolah. Hasil analsis bivariat menunjukkan bawha ada hubungan pengetahuan dan motivasi ibu terhadap perkembangan anak usia pra sekolah di Puskesmas Padang Serai Kota Bengkulu.
Simpulan dari penelitian ini adanya hubungan antara pengetahuan dan motivasi ibu terhadap perkembangan anak prasekolah di Puskesmas Padang Serai Kota Bengkulu. Bagi puskesmas diharapkan dapat meningkatkan pengetahuan masayarakat dengan meningkatkan peran petugas kesehatan terutama bidan dalam upaya kesehatan anak dalam memberikan penyuluhan kepada ibu balita terkait perkembangan pada anak, dengan cara memberikan penyuluhan yang kontinyu pada ibu yang mempunyai balita.
Kata kunci:Pengetahuan, Motivasi, perkembangan anak prasekolah.
Rights and the Proportionality of Punishments on Homosexual Relations in Malaysia
Authors: Lee Qian Hua , Ng Gary Kit Min , Tay Eng Siang
Published: January 2024

The protection of the human rights of LGBTQ+ people is a relatively new topic in international human rights law in this digital era. Over the years, in the context of sexual acts against the order of nature and emerging Islamic practice, engaging in homosexual behaviour is considered a crime punishable under the law, whereby people in the LGBTQ+ were being discriminated against and attacked by the community. Hence, with the calls for gender equality and human rights, this paper focuses on the debate about human rights in homosexual relations, which is gay or lesbian. The research methodology adopted is doctrinal legal research. This paper intends to examine the existence of equal rights given to the homosexual community, and the proportionality of punishments for homosexuality in Malaysia from the secular civil law and Islamic Law perspectives. Besides, a comparison is made between Malaysia and some other selected Asian countries from the psychological view and health conditions with recommendations to protect the rights of this group as a conclusion.
Legislative Update: Malaysian Space Board Act 2022: Its Major Legal Frameworks
Authors: Saari Che Zuhaida
Published: January 2024

Malaysian Space Board Act 2022 (Act 834) was gazetted on January 25, 2022. It is a new outer space legislation that was passed by the Malaysian Parliament. This Act is designed to regulate Malaysian outer space activities that are carried out nationally or internationally. This paper discusses the major legal frameworks of the Malaysian Space Board Act 2022. They are the establishment of the Malaysian Space Board, modes of authorisation of space activities, registration of space objects, liability and indemnification, prohibition of activities and offences, event of incident and accident, power of enforcement of public officers, and other relevant legal matters. The methodology used is by analysing the provisions stated in the Malaysian Space Board Act 2022, works of authoritative writers, and United Nations space conventions and treaties. The paper concludes that the Act is a good space legislation, however, certain matters need to be given consideration like the obligation of constant monitoring and supervision of space activities, and the liability insurance clause.
Bibliometric analysis and network visualization on Tuberous Sclerosis Complex
Authors: Zulkipli Ninie Nadia , Long Idris , Wahab Habibah A , Sasongko Teguh Haryo , Ahmad Asma Hayati , Othman Zahiruddin , Ahmi Aidi , Zakaria Rahimah
Published: January 2024

Background: Tuberous sclerosis complex (TSC) is a rare autosomal dominant multisystem disease resulting from hyperactivation of the mammalian target of rapamycin (mTOR) signaling pathway. This study aimed to measure the quantitative impact of publications in TSC.

Materials and methods: We analysed TSC literature obtained from the Scopus database using Bibliometrix R Package and VOSviewer software. Annual publication trends, most productive and collaborative authors/institutions/ countries, most cited articles, most popular journals and author’s keywords were presented using standard bibliometric indicators.

Results and discussion: A total of 5375 documents on TSC were published from 1960 to December 2020, with an increasing trend. The three primary contributing writers were Curatolo P, Kwiatkowski DJ, and Thiele EA, with the United States and its institutions being the largest contributor. The research identified two of the most referenced papers as TSC’s seminal pieces. The top journals that published TSC research were medical journals, namely Journal of Child Neurology, Epilepsia, and Pediatric Neurology. mTOR inhibitor, everolimus, sirolimus, mTORC1, mTOR pathway, autophagy, inflammation, infant, intellectual disability, white matter, TSC-associated neuropsychiatric disorders, TOSCA and quality of life were relatively newer author’s keywords and may indicate the future research hotspots in TSC research.

Conclusion: Over the last few decades, TSC research has grown in importance, particularly in the field of clinical medicine. Therapeutic components targeting TSC-related pathways, the utilisation of TSC as disease models and long-term safety studies will be future research areas.

Bangladesh Journal of Medical Science Vol. 23 No. 01 January’24 Page : 18-28
Vai trò chủ thể của người dân trong chương trình mục tiêu quốc gia xây dựng nông thôn mới
Authors: Diệp Thanh Tùng , Nguyễn Thị Thúy Loan
Published: January 2024

Nghiên cứu này đánh giá vai trò chủ thể của người dân trong chương trình mục tiêu quốc gia xây dựng nông thôn mới. Dữ liệu được thu thập từ 508 hộ gia đình được khảo sát tại 07 tỉnh, phân bố theo các vùng kinh tế cả nước. Cho đến nay, kết quả của chương trình gắn liền với những thành tựu nổi bật, làm thay đổi diện mạo nông thôn một cách tích cực trên phạm vi cả nước. Tuy vậy, chương trình cũng bộc lộ những hạn chế, khác biệt giữa các địa phương. Mặc dù sự tham gia của người dân ở mức cao, tuy nhiên, ở một số nhóm tiêu chí, sự tham gia của người dân vẫn chưa thể hiện tính chủ động và vai trò chủ thể của chương trình, nhất là đối với những tiêu chí gắn liền trực tiếp với đời sống của người dân. Trên cơ sở đó, nghiên cứu đề xuất một số hàm ý chính sách đối với việc triển khai giai đoạn tiếp theo, nhằm nâng cao vai trò chủ thể của người dân và sự bền vững của chương trình.
Analisa Statistik Gangguan Akibat Sambaran Petir Yang Terjadi Pada Saluran Transmisi di PLN Unit Pelaksana Transmisi (UPT) Semarang
Authors: Fitrianto Hariadi , Ahmad Mubarok  , Khairizvan Edwar
Published: January 2024

Indonesia merupakan kawasan beriklim tropis yang mendapatkan curah hujan di sepanjang tahun. Curah hujan yang besar juga selaras dengan peningkatan sambaran pertir yang dapat berpengaruh terhadap sistem tenaga listrik. Sambaran petir menimbulkan gnagguan pada sistem kelistrikan secara temporer maupun permanen dimana akan mempengaruhi keandalan pasokan listrik ke konsumen. Penelitian ini bertujuan untuk mendapatkan analisis sambaran petir dengan data sambaran dan gangguan akibiat petir pada saluran udara tegangan tinggi 150 kV dan saluran udara tegangan ekstra tinggi 500 kV yang terjadi pada periode tahun 2018 hingga tahun 2022. Hasil data selama 5 tahun tersebut dioah untuk dilihat kesamaan atau ketidaksamaan trend yang timbul setiap tahunnya. Langkah selanjutnya dilakukan prediksi dari gangguan sambaran petir beberapa tahun kedepan. Seiring dengan peningkatan gangguan setiap tahunnya dibutuhkan juga effort lebih untuk penerapan dan pemasangan alat proteksi gangguan petir di sistem ketenagalistrikan.
String Matching Pada Pencarian Di Web Jurnal Menggunakan Algoritma Knuth Morris Pratt (KMP)
Authors: Dharma Sanjaya Rizky , Titi Komala Sari Ratih
Published: January 2024

This research aims to: (1) enhance the responsiveness of a journal website for easier access from mobile devices and improve the quality of its appearance and user experience during web browsing, (2 enabling easy access to information and visibility, and (3) improve the data processing of the journal by effectively utilizing the Knuth Morris Pratt (KMP) algorithm. The subjects of this research are the user interface and user experience of the web journal application for students, learners, and the general public, while the object of this research is the web journal application itself. The data sources used consist of secondary data obtained from books, documents, and archives containing relevant information. This research employs data collection techniques by gathering information from pre-existing data sources such as books, journals, reports, the internet, and other documents. The estimated time required to conduct this research is two months (November-December 2022). This research develops a responsive web journal using the Laravel Framework and the Knuth Morris Pratt (KMP) algorithm for journal data search. The implementation of the KMP algorithm resulted in a search time of approximately 0.505 seconds with 15 keywords.
Model Prediksi Menggunakan Teknik Machine Learning untuk Penjualan terhadap Produksi Kain Jumputan pada Pengerajin Batiq Colet Jumputan Palembang
Authors: Bagaskara Try Okta
Published: January 2024

Tujuan dari penelitian ini adalah untuk merancang model prediksi penjualan terhadap produksi kain jumputan berbasis Python menggunakan dua teknik Machine Learning yang dibandingkan hasilnya, yaitu Linear Regression dan Support Vector Regression. Dalam pengujian akurasi, metode Linear Regression berhasil memprediksi penjualan kain jumputan dengan tingkat kesalahan yang rendah. Dataset yang digunakan mencakup data penjualan kain jumputan selama 48 bulan, mulai dari Januari 2018 hingga Desember 2021. Dengan membagi dataset menjadi data pelatihan selama 38 bulan dan data pengujian selama 10 bulan, hasil prediksi 10 bulan terakhir didapatkan. Hasil prediksi untuk setiap bulannya dengan mengacu kepada kain jumputan yang diproduksi menunjukkan kesamaan dengan metode Linear Regression dibandingkan Support Vector Regression. Pengujian tingkat kesalahan menggunakan Mean Absolute Percentage Error menunjukkan bahwa prediksi penjualan untuk kain jumputan termasuk dalam kategori sangat akurat. Nilai MAPE pada Linear Regression memiliki nilai terkecil yaitu 3.88%, sementara nilai MAPE pada Support Vector Regression memiliki nilai MAPE terbesar yaitu 28.24%.
Analisis Faktor-Faktor yang Mempengaruhi Kepuasan Pelanggan dan Keputusan Pembelian Tenaga Listrik Pada PT.PLN (Persero) Jawa Bali
Authors: Ahsan Mohammad , Assagaf Aminullah , Prabowo Eri
Published: January 2024

Tujuan penelitian ini adalah (1) untuk menganalisis faktor faktor yang mempengaruhi kepuasan pelanggan dan keputusan pembelian tenaga listrik PT  PLN (Persero), (2) untuk menguji hubungan dan pengaruh signifikan antara variable yang mempengaruhi kepuasan pelanggan dan keputusan pembelian  terhadap kepuasan pelanggan dan keputusan pembelian tenaga listrik PT PLN (Persero). Penelitian ini menggunakan sampel pelanggan listrik PLN (Persero) dengan kategori pelanggan rumah tangga, bisnis, industri dan sosial di wilayah  Pulau Jawa dan Bali, menggunakan kuesioner sebanyak 70 responden. Penelitian  ini menggunakan metode kuantitatif analisis regressi linier dengan pengolahan data melalui SPSS Statistik. Temuan dari penelitian ini bahwa terdapat pengaruh yang signifikan antara X1 produk, X2 harga, X3 saluran distribusi, X4 promosi, X5 kualitas pelayanan terhadap Z kepuasan pelanggan PT PLN (Persero) dan terdapat pengaruh yang signifikan antara X1 produk, X2 harga, X3 saluran distribusi, X4 promosi, X5 kualitas pelayanan dan Z kepuasan pelanggan terhadap keputusan pembelian tenaga listrik PT PLN (Persero). Namun secara parsial yang mempengaruhi Z kepuasan pelanggan PT PLN (Persero) adalah X2 harga, X4 promosi dan X5 kualitas pelayanan. Sedangkan yang mempengruhi Y keputusan pembelian tenaga listrik PT PLN (Persero) adalah X3 saluran distribusi, X5 kualitas pelayanan dan Z kepuasan pelanggan .
Políticas públicas desde el enfoque de género en materia de mujeres privadas de libertad. Estrategias para su rehabilitación
Authors: Hachi-Caguana Elsa , Cejas-Martinez Magda
Published: January 2024

El artículo "Políticas públicas desde el enfoque de género en materia de mujeres privadas de libertad. Estrategias para su rehabilitación" menciona la preponderancia que tiene las políticas públicas en las necesidades de las mujeres con énfasis en el Centro de privación provisional de la libertad Mixto Pastaza N.1. El objetivo fue analizar las políticas públicas actuales dirigidas a mujeres privadas de libertad desde un enfoque de género, identificando estrategias que promuevan una rehabilitación integral, respetuosa y equitativa.  La investigación  se desarrolló con un enfoque mixto, para lo cual fue necesario la revisión de Notas documentadas especializadas, considerándose una investigación cuantitativa y cualitativa. La investigación de campo fue generada a través de la aplicación de una encuesta al Centro de privación provisional de la libertad Mixto Pastaza N.1, la cualitativa fue desarrollada a través de la hermenéutica. Esta investigación logró identificar aquellas condiciones que gira en el ámbito carcelario para el diseño de programas de rehabilitación que reflejan las necesidades específicas de las mujeres, como salud mental y habilidades para la vida, la creación de un entorno carcelario seguro y de apoyo, y la oferta de servicios continuos orientados al fortalecimiento de habilidades y competencias tras la liberación entre otros aspectos clave.  Como aporte de esta investigación se enfatizará en los resultados del abordaje de un enfoque de género en la rehabilitación puede llevar a estrategias más efectivas y humanas, subrayando la importancia las y experiencias de las mujeres en estas políticas.
Gestión del Talento Humano en la Era de la Inteligencia Artificial: Retos y Oportunidades en el Entorno Laboral
Authors: Canossa-Montes de Oca Héctor , Peraza-Villarreal Nelson
Published: January 2024

El propósito de este artículo es analizar la función de la inteligencia artificial (IA) en la gestión del talento humano (GTH) de las organizaciones, metodológicamente tiene un enfoque cualitativo, basado en revisiones literarias generando una investigación de tipo documental, con alcance exploratorio y propuestas para la implementación de IA en las empresas y el área de GTH. Los hallazgos principales incluyen en primer lugar la identificación de retos para la integrar IA en la empresa tales como promover el liderazgo adaptativo, contar con una infraestructura tecnológica, la transformación y adaptación digital de funciones, preparación del talento humano en IA y construcción de una cultura tecnológica. En segundo lugar, se analizan oportunidades potenciales en las funciones del área de GTH desde la planeación estratégica de talento humano hasta el desarrollo de competencias humanas con acciones que incluyen la IA, dando énfasis a los requerimientos humanos para la adaptación efectiva, como habilidades y coeficiente digitales, la creatividad y habilidades socioemocionales, promoción del aprendizaje permanente, inversión en capital humano y la cobotización. Finalmente, como tercer hallazgo, se proponen acciones estratégicas de implementación de IA tales como el diagnóstico de oportunidades de IA, la integración de los miembros de la organización en el proceso, elección de soluciones de IA, el ajuste de la estrategia empresarial, la preparación para el cambio y el seguimiento con evaluación continua. El trabajo investigativo muestra una visión optimista del aprovechamiento de IA para la optimización y competitividad de las organizaciones.
A Machine-Learning-Based Business Analytical System for Insurance Customer Relationship Management and Cross-Selling
Authors: Tian Xiaoguang , Todorovic Jun , Todorovic Zelimir
Published: January 2024

Effective cross-selling practices are integral to maintaining strong customer relationships and optimizing business processes within the insurance industry. This study presents a novel three-stage Machine Learning-Based System (MLBS) designed to enhance the identification of potential insurance customers and improve customer relationship management. This study proposes combining under sampling strategies and an ensemble approach to improve prediction performance. The proposed MLBS method involves selecting the best training sample using artificial neural networks and employing the stacking ensemble approach. It yields superior prediction results, exhibiting the highest recall, precision, and Area Under the Curve (AUC). These advancements substantially bolster the efficiency of cross-selling strategies. This research pioneers the application of stacking ensemble learning within the cross-selling domain, representing a novel contribution to the business field. The outcomes underscore the superiority of the MLBS system over baseline models across multiple performance metrics, thereby significantly enhancing support for cross-selling campaigns in various businesses.
What Does Homer Simpson Know About Microeconomics? Teaching Principles by Incorporating Popular Media Into a Group Exercise
Authors: Burke Sarah , Robak Patricia , Stumph Carolyn Fabian
Published: January 2024

In Daniel Hamermesh’s article, “Microeconomic Principles Teaching Tricks,” he notes that what appears to be largely lacking in the literature is plain advice about how to avoid having the (microeconomics) course becoming a burden to both students and the instructor (Hamermesh, 2002). In this paper, we discuss the use of a group exercise in introductory microeconomics in which the students use a clip from a popular movie or television show to demonstrate an economic concept. The activity is modeled for the students and, with guidance from the instructor or teaching assistant, the students use their creativity and critical thinking to find and explain clips of their own. This exercise has the added benefit of honing oral and written presentation skills as well as traditional economic analysis techniques. According to Hamermesh (2002), the burden of teaching while maintaining student interest is greater in economics than in other courses, perhaps due to the abstract nature of the material. This exercise helps to keep the focus on teaching ideas, not techniques.
A Longitudinal Examination of Student Approaches to Learning and Metacognition
Authors: Hands Caroline , Limniou Maria
Published: January 2024

Student Approaches to Learning (SAL) mainly consists of two contradictory approaches (surface and deep learning) to learning that have been extensively studied in educational research. Metacognition, which refers to the process of thinking about one’s thinking, has been shown to play a crucial role in helping students shift from a surface to a deep approach to learning. The current study collected data using two questionnaires (RSPQ-2F& MAI) from 1329 students. Both metacognition and learning approaches showed medium correlations and an effect of the year of study. A crossed-lagged model shows no effect of deep learning on metacognitive knowledge or regulation, although this does increase significantly over time. Overall, the study’s findings suggest a complex yet clear relationship between student learning approaches and their final grade outcomes. Students will lean towards more surface learning as their (perceived) workload increases and assessments become more challenging. These findings suggest that teachers and policy makers should seek ways to increase deep learning methods, possibly using metacognitive skills training.
Does Government Performance Influence Public Trust? The Case of Sustainable Development Goals Policies at Local Level
Authors: Sempiga Olivier , Liedekerke Luc Van , Mestdagh Bjorn
Published: January 2024

In the recent past, governments have faced a number of crises (i.e. climate change, economic crisis, COVID-19, Russia-Ukraine conflict) that affect their overall performance. Crises directly impact citizens as they yield increased unemployment and debt crisis, lead to global warming, spark high inflation, and raise the cost of living. These issues which normally mirror the way governments perform, seem to have an impact on public trust. It remains unclear how and to what extent performance influences public trust. In addition, there has been difficulty identifying accurate ways to measure performance in the public sector, especially at the local level. Using data from IDEA Consult and Gemeente-en stadsmonitor (GSM), we propose to use Sustainable Development Goals (SDGs) as a holistic way of measuring performance and show how this performance determines public trust. Results reveal that the performance in specific SDGs (such as SDG6, SDG7, and SDG9) positively influences public trust, suggesting that government performance in some areas may be more influential in shaping public trust than others. SDG16 has the strongest statistically significant impact on public trust.
The Relationship Between Trait Emotional Intelligence and Burnout Among Workers in the Humanitarian Sector in Lebanon
Authors: Yassine Raghida Abdallah , Antoun Hiba , Nasr Najoie
Published: January 2024

This study investigated the relationship between trait emotional intelligence and burnout among managers and non-managers in the humanitarian sector in Lebanon. We explored trait emotional intelligence as it relates to burnout while controlling for status (managerial and non-managerial) and working from home. The study’s results suggest a significant inverse relationship between the average score of trait emotional intelligence and burnout as total score. That is the higher the trait emotional intelligence score reported, the lower is the burnout score. Further analysis suggested that there is a significant relationship between trait emotional intelligence as a total score as well as the subscales burnout. This aligns with the studies on positive psychology and linkages between well-being and positive emotions. While controlling for employment status, results indicated that employment status (manager and non-manager) did not affect emotional exhaustion, which was unexpected. Finally, those working from home had higher levels of burnout than those who did not.
Perancangan Buku Cerita Bergambar Pengenalan Esensi Perjuangan R.A Kartini kepada Generasi Muda
Authors: Saputro Godham Eko , Rachmawati Rina , Nurhayati Ifa , Haryadi Toto
Published: January 2024

AbstrakR.A Kartini adalah pejuang emansipasi wanita yang konsisten memperjuangkan hak kaum wanita supaya setara dengan kaum pria. Beliau membuka sekolah wanita pertama serta berjejaring korespondensi dengan koleganya di Belanda sampai akhir hayat. Namun kini pemahaman generasi muda tentang perjuangan RA Kartini menurun. Perjuangan RA Kartini hanya dikenang dengan melakukan selebrasi dan sebatas memakai kebaya dan perlombaan. Selain itu belum adanya buku cerita bergambar versi cetak dan versi digital yang bisa diakses secara luas dan mudah tentang perjuangan RA Kartini. Menilik permasalahan tersebut, tujuan penelitian ini adalah mengenalkan esensi perjuangan R.A Kartini kepada generasi muda dalam bentuk buku cerita bergambar versi cetak dan digital. Metode penelitian deskriptif kualitatif dipilih melalui pendekatan analisis framing. Target audience penelitian ini adalah generasi muda socio-economic status B dengan segmentasi psikografis gaya hidup teknologi-savvy. Penelitian terdahulu menjadi landasan pengembangan penelitian ini, yang mana perbedaannya terletak pada konten yang disajikan. Penelitian terdahulu fokus pada peninggalan RA Kartini, sedangkan penelitian saat ini fokus pada esensi cerita perjuangannya. Kata Kunci: buku cerita bergambar, esensi perjuangan, R.A Kartini AbstractR.A Kartini was a fighter for women's emancipation / who consistently fought for women's rights to be equal to men. He opened the first women's school and maintained correspondence with colleagues in the Netherlands until the end of his life. However, now the younger generation's understanding of RA Kartini's struggle is declining. RA Kartini's struggle is only remembered by celebrating and limited to wearing a kebaya and competing. Apart from that, there are no printed or digital versions of illustrated story books that can be widely and easily accessed about RA Kartini's struggle. Considering these problems, the aim of this research is to introduce the essence of R.A Kartini's struggle to the younger generation in the form of printed and digital versions of illustrated story books. The qualitative descriptive research method was chosen through a framing analysis approach. The target audience for this research is the young generation of socio-economic status B with a psychographic segmentation of a technology-savvy lifestyle. Previous research became the basis for developing this research, the difference lies in the content presented. Previous research focused on the legacy of RA Kartini, while the research carried out focused on the essence of the story of her struggle. Keywords: essence of struggle, picture storybook, R.A Kartini