bluuebunny/crossref_metadata_2025 huggingface dataset:
Penerapan Algoritma Best First Search (BFS) untuk Penentuan Slot Parkir
Authors: Suswiantara Adi , Dzakhwan Naufal , Fahruddin Asraf , Dzaky Muhammad Naufal , Auliana Auliana , Setiadi Tedy
Published: December 2024

Parkir Motor Kampus X merupakan salah satu area parkir yang disediakan oleh Kampus X untuk mahasiswanya. Area parkir ini sering kali mengalami kepadatan, terutama pada jam-jam sibuk perkuliahan, sehingga menyebabkan kesulitan bagi pengguna dalam menemukan slot parkir yang tersedia. Penempatan motor yang tidak teratur dapat membuat pengguna kesulitan menemukan kembali kendaraannya. Oleh karena itu, diperlukan sebuah sistem yang mampu mengatur dan menentukan slot parkir secara efisien. Tujuan dari penelitian ini adalah mengembangkan sistem dengan algoritma Best First Search (BFS) yang dapat menentukan slot parkir secara otomatis. Algoritma BFS adalah algoritma yang menggunakan pendekatan pencarian dengan mengutamakan node yang paling menjanjikan berdasarkan fungsi heuristik pada setiap langkahnya. Implementasi algoritma BFS menghasilkan sistem yang mampu menempatkan motor pada slot yang kosong berdasarkan kedekatan dengan pintu masuk parkir, sehingga memudahkan mahasiswa dalam mencari dan menempatkan kendaraan mereka dengan lebih teratur serta membantu karyawan (juru parkir kampus) dalam mengatur parkir di Parkir Motor Kampus X. Metodologi penelitian diambil berdasarkan best first search,sistem informasi geografis dan struktur tree.
Sistem Monitoring Server di PT. XYZ Media Indonesia Berbasis Grafana dan Prometheus
Authors: Rasyidi Banu , Pratama Firman
Published: December 2024

Server merupakan salah satu komponen utama dari sistem jaringan komputer yang memiliki fungsi untuk memberikan suatu service terhadap penggunanya. Setiap aktifitas dan operasional pelayanan suatu server terhadap client dalam penerapannya terdiri dari beberapa jenis proses untuk memenuhi segala permintaan atau request client yang dikirimkan oleh server. Oleh sebab itu, diperlukan suatu sistem monitoring yang dapat melakukan pemantauan segala macam aktifitas di dalam server, dengan demikian pengguna dapat memantau dan memberikan peringatan apabila terjadi permasalahan pada server yang digunakan. Pada sistem ini dirancang   dengan menggunakan perancangan   Unified Modeling Language, serta menggunakan node exporter untuk mengambil metrik dan bahasa kueri berbasis Prometheus Query Language untuk mengakses data metrik dan grafana untuk memvisualisasi. Penelitian ini bertujuan rancang sistem yang mampu melakukan pemantauan dan pengumpulan informasi dari seluruh perangkat server yang berada di PT. XYZ Media Indonesia. Sistem monitoring ini juga, mampu memberikan beberapa informasi terkait utilisasi memori, utilisasi CPU, utilisasi storage dan utilisasi jaringan pada server, serta pada sistem ini juga mampu mengirimkan pesan peringatan dalam bentuk notifikasi telegram kepada pengguna saat terjadi kesalahan atau malfunction pada server dengan demikian proses eskalasi penanganan server menjadi lebih cepat dilakukan
Implementasi IDS pada Jaringan Komputer Menggunakan Snort Berbasis Chatbot Telegram
Authors: Ardiyansyah Ferry , Setiawan Kiki , Sutisna Nandang
Published: December 2024

Pada era digital ini, keamanan informasi dan perlindungan jaringan komputer sangat penting. Penggunaan internet di Indonesia mencapai 79,50% dari populasi pada tahun 2024, disertai meningkatnya ancaman siber seperti Ping of Death (POD), Nmap scanning, dan DDoS. PT Tiga Kawan Sertifikasi menghadapi tantangan dalam mengelola keamanan jaringan. Penelitian ini bertujuan mengimplementasikan sistem deteksi serangan menggunakan Snort yang terintegrasi dengan chatbot Telegram untuk notifikasi real-time. Metode penelitian mencakup konfigurasi server Ubuntu sebagai IDS dengan Snort dan penggunaan chatbot Telegram sebagai media notifikasi. Pengujian dilakukan dengan skenario pentest menggunakan server Kali Linux. Hasil pengujian menunjukkan Snort mendeteksi serangan Ping of Death dalam 4 detik, Nmap scanning dalam 3 detik, dan DDoS dalam 2 detik. Sistem berhasil mengirimkan alert pada grup Telegram, mengoptimalkan keamanan jaringan PT Tiga Kawan Sertifikasi secara efektif dan efisien. Keseluruhan hasil menunjukkan bahwa solusi ini dapat memberikan perlindungan yang lebih baik terhadap ancaman siber dan memungkinkan respons cepat terhadap insiden keamanan. Selain itu, sistem ini mempermudah administrator jaringan dalam memantau dan menangani serangan secara real-time, meningkatkan ketahanan jaringan perusahaan
Model Pengambilan Keputusan Seleksi Jabatan Dekan dengan Metode Weighted Performance Indicator Berdasarkan Opini Responden
Authors: Heryati Agustina , Afriyani Fauziah , Mulyati Mulyati , Putri Indah Pratiwi , Suryati Suryati
Published: December 2024

Pemilihan Dekan di tingkat universitas merupakan proses penting yang berdampak signifikan terhadap kualitas pendidikan, riset, dan pengabdian masyarakat di fakultas. Namun, proses ini sering menghadapi tantangan seperti subjektivitas, kurangnya transparansi, dan ketidakjelasan kriteria penilaian. Penelitian ini bertujuan mengembangkan model pengambilan keputusan dalam seleksi jabatan Dekan dengan menggunakan metode Weighted Performance Indicator (WPI) yang berbasis pada opini responden. Metode WPI menggabungkan berbagai kriteria dan indikator untuk mengevaluasi kinerja kandidat secara objektif dan transparan. Penelitian ini menggunakan kriteria seperti kualifikasi akademik, pengalaman kepemimpinan, kontribusi penelitian, kemampuan manajerial, visi strategis, kepatuhan terhadap kebijakan universitas, kualitas komunikasi, dan pengalaman pengelolaan konflik untuk menilai tiga kandidat dekan. Hasil evaluasi menunjukkan bahwa Kandidat 1 memperoleh nilai WPI tertinggi sebesar 134,23, diikuti oleh Kandidat 2 dengan nilai 120,59, dan Kandidat 3 dengan nilai 111,05. Temuan ini menunjukkan bahwa metode WPI efektif memberikan hasil yang lebih objektif dan dapat diandalkan dalam proses pemilihan Dekan, yang diharapkan dapat meningkatkan kualitas kepemimpinan fakultas dan pencapaian tujuan akademik serta strategis universitas
Perancangan Alat Ukur Emisi Carbon Monoxide Berdasarkan Jenis Bahan Bakar Minyak Honda Vario 150 di Universitas Semarang
Authors: Yahya Ahmad , Islah Muhammad Amirul , Adhiwibowo Whisnumurti
Published: December 2024

Pencemaran udara di Kota Semarang, ibukota Provinsi Jawa Tengah, telah menjadi masalah serius seiring dengan pesatnya pertumbuhan jumlah kendaraan bermotor dan kegiatan industri. Penelitian ini bertujuan untuk mengukur dan menganalisis dampak emisi gas buang kendaraan bermotor terhadap kualitas udara di lingkungan Universitas Semarang, dengan fokus pada emisi karbon monoksida (CO) yang dihasilkan oleh berbagai jenis bahan bakar. Alat ukur emisi berbasis Internet of Things (IoT) menggunakan sensor gas MQ-7 dan NodeMCU ESP8266 dikembangkan untuk mendeteksi tingkat emisi secara real-time. Hasil penelitian menunjukkan bahwa kendaraan bermotor, khususnya yang menggunakan bahan bakar 'Pertalite', berkontribusi signifikan terhadap tingginya emisi CO. Analisis menggunakan model regresi pohon keputusan (Decision Tree Regression) menunjukkan bahwa bahan bakar 'Pertamax' memiliki tingkat emisi CO yang lebih rendah, dengan squared error sebesar 162.544 dibandingkan dengan 'Pertalite' yang mencapai 433.496. Selain itu, alat pengukur emisi ini memberikan solusi efektif untuk memantau tingkat polusi udara di area kampus, yang dapat membantu pengambilan keputusan terkait pengelolaan lingkungan dan pemilihan bahan bakar yang lebih ramah lingkungan. Berdasarkan hasil penelitian ini, disarankan untuk meningkatkan pemantauan emisi kendaraan bermotor serta mendorong penggunaan bahan bakar yang lebih ramah lingkungan, seperti 'Pertamax', guna mengurangi dampak negatif pencemaran udara di lingkungan kampus.
Implementasi Algoritma Haversine pada Mapbox API Guna Pencarian Bengkel Terdekat Berbasis Perangkat Mobile
Authors: Prasetyo Sushilo , Zaky Umar
Published: December 2024

Industri otomotif di Indonesia mengalami pertumbuhan pesat seiring dengan meningkatnya pendapatan per kapita dan kebutuhan masyarakat akan transportasi. Salah satu sektor penting dalam industri ini adalah layanan bengkel kendaraan bermotor, yang memiliki peran krusial dalam perawatan dan perbaikan kendaraan. Meskipun sudah ada beberapa aplikasi pencarian bengkel, sebagian besar masih berbasis web dan tidak menyediakan fitur komunikasi langsung antara pelanggan dan bengkel. Penelitian ini bertujuan untuk mengembangkan aplikasi layanan bengkel berbasis mobile Android yang mengimplementasikan algoritma Haversine. Aplikasi ini dirancang untuk memudahkan pengguna dalam menemukan bengkel terdekat, menghitung jarak, dan berkomunikasi langsung dengan bengkel melalui fitur chat. Hasil penelitian menunjukkan bahwa aplikasi ini mampu menghitung jarak dengan akurasi tinggi, di mana bengkel terdekat ditemukan berjarak 3,229 kilometer dari lokasi pengguna. Penggunaan algoritma Haversine dalam aplikasi ini memberikan hasil perhitungan jarak yang akurat dengan tingkat akurasi mencapai 99%. Dengan demikian, penelitian ini berkontribusi dalam meningkatkan kualitas layanan bengkel di Indonesia, terutama dalam memanfaatkan teknologi berbasis lokasi untuk kemudahan dan kenyamanan pengguna.
Analisis Pengembangan Aplikasi Pemesanan Kendaraan dan Paket Wisata Provinsi Yogyakarta Menggunakan Metode Agile Devlopment
Authors: Syah Nur Ilham , Hermawan Arief
Published: December 2024

Teknologi informasi di Indonesia berkembang pesat dengan revolusi 5.0, mendorong penggunaan ponsel untuk akses internet di berbagai sektor karena kepraktisannya. Namun, pengetahuan masyarakat tentang pariwisata, khususnya di Yogyakarta, masih kurang dan seringkali hanya mengandalkan media sosial yang informasinya tidak lengkap. Untuk mengatasi hal ini, diperlukan media informasi dengan jangkauan luas. Aplikasi ini bertujuan memberikan informasi yang lengkap kepada masyarakat luas. Wisatawan dapat dengan mudah mencari dan memesan kendaraan sesuai kebutuhan serta memilih paket wisata yang mencakup berbagai destinasi menarik. Metode yang digunakan dalam penelitian ini meliputi pengumpulan data, analisis kebutuhan, perancangan sistem, dan implementasi sistem. Data diperoleh melalui wawancara. Hasil dari penelitian ini adalah Aplikasi Pemesanan Kendaraan dan Paket Wisata Provinsi Yogyakarta menggunakan Framework Flutter sehingga masyarakat dapat melakukan pemesanan sesuai keinginan dan pembayaran dapat dilakukan dengan berbagai pilihan. Hasil user acceptance test rata-rata user yang memilih setuju sebesar (24/40; 60%) sedangkan yang memilih sangat setuju sebesar (16/40; 40%).
Analisis Sentimen pada Ulasan Aplikasi Sirekap di Google Play Menggunakan Algoritma Naive Bayes
Authors: Hanafi Muhammad Rizky , R Rakhmat Kurniawan
Published: December 2024

Seiring dengan perkembangan dan pemanfaatan teknologi baru, KPU membuat dan menggunakan aplikasi SIREKAP untuk membantu proses rekapitulasi suara secara berjenjang. Sistem Informasi Rekapitulasi Elektronik (SIREKAP) merupakan program komputer yang membantu proses penghitungan ulang hasil pemilu dan publikasi hasil pemilu. Sistem ini dibuat sesuai dengan Keputusan Komisi Pemilihan Umum Nomor 66 Tahun 2024. Untuk mendapatkan informasi mengenai ulasan aplikasi SIREKAP, data diambil dari Google Play (scraping).  Dalam investigasi ini, pelabelan sentimen dilakukan secara manual. Temuan menunjukkan bahwa sentimen terhadap aplikasi SIREKAP sebagian besar tidak menguntungkan (93,3%) dan positif (6,7%). Teknik Naive Bayes kemudian digunakan untuk memodelkan klasifikasi menggunakan data yang diberi label. Algoritma Naive Bayes memiliki accuracy rata-rata 90%, precision 98%, dan recall 81%, menurut data evaluasi. Konteks evaluasi pengguna untuk aplikasi SIREKAP dipahami melalui analisis visualisasi menggunakan wordcloud.
Utilization of Query Expansion Using Data Mining Method In Analyzing Documents on The Irama Nusantara Website
Authors: Aulia Rizky , Widodo Agung Mulyo
Published: December 2024

In Indonesia, many local websites, such as Irama Nusantara, hold valuable information related to music and culture. Although rich in data, the utilization of this information is still limited. This research aims to utilize query expansion techniques through data mining methods in analyzing data from the Irama Nusantara website. Data was collected from the Irama Nusantara website through a crawling process, resulting in 5404 entries covering audio, images and text. The analysis was conducted using Natural Language Processing (NLP) techniques starting with the preprocessing stage. Next, the K-Means algorithm was applied for clustering, and the Term Frequency-Inverse Document Frequency (TF-IDF) method was used for term weighting. Classification models were built using Support Vector Machine (SVM) and Naive Bayes for comparison. The analysis shows that the use of query expansion significantly improves the accuracy of information retrieval on the Irama Nusantara website. The method evaluation showed that SVM gave better results in terms of accuracy and precision compared to Naive Bayes. In addition, Principal Component Analysis (PCA) shows that 70-95% of the variance in the data can be explained by the resulting principal components, which signifies the efficiency of the applied method. This research not only provides a deeper insight into the patterns and trends in the analyzed data, but also contributes to the development of information technology in the field of culture in Indonesia. This research successfully developed an effective analysis model to utilize data from the Irama Nusantara website.
Structural Analysis of The BRI Branch Office in Kesambi Sub-District Cirebon City
Authors: Rahmatulloh Muhammad , Al-Aufa Muhammad Fikri , Ray Devana , Roesdiana Tira
Published: December 2024

Safe and standardized infrastructure development is an important factor in supporting economic growth, especially in disaster-prone areas such as Cirebon. This research aims to analyze the structural strength of the BRI branch office building in Kesambi, Cirebon, in accordance with SNI 2847:2019, SNI 1726:2019, and SNI 1727:2020 regulations. This research uses a quantitative approach with ETABS V18.1.1 software to conduct structural analysis. The data used includes primary data from field measurements and secondary data from literature and applicable design standards. The analysis process includes structural modeling, load calculation, and strength evaluation of structural elements such as columns, beams, and slabs. The analysis results show that most of the building's structural elements meet the established strength standards. However, columns K1C, K2, and KT3 did not meet the Strong Column Weak Beam (SCWB) criteria, indicating the need for improvement in the design and strengthening of these elements. These findings indicate the importance of applying comprehensive structural analysis in the planning of banking buildings. The research also provides recommendations for design improvements to enhance the safety and structural durability of the building, and emphasizes the need for compliance with applicable regulations in infrastructure development. This study concludes that the BRI branch office building in Kesambi, Cirebon, is generally safe for use, but there are some elements that require more attention to ensure structural safety.
Optimalisasi Value Added Limbah Plastik Dengan Teknologi Mesin Crusher
Authors: Kurniawati Maris , Mustikowati Rita Indah , Sundayagara Candra , Anggraini Inggar Dewi , Lestari Rika Tri Intan , Maulida Shofiyah
Published: December 2024

Pengelolaan limbah plastik menjadi salah satu tantangan utama dalam menjaga kelestarian lingkungan. Kegiatan ini  bertujuan untuk mengoptimalkan value added (nilai tambah) limbah plastik melalui penerapan teknologi mesin crusher, yang diharapkan dapat meningkatkan efisiensi proses daur ulang. Metode yang digunakan meliputi pengoperasian mesin mesin dilakukan dengan metode workshop dari tenaga ahli mesin, demonstrasi ploting, dan praktek langsung oleh mitra.Hasil menunjukkan bahwa penggunaan mesin crusher tidak hanya mempercepat proses pengolahan limbah plastik, tetapi juga meningkatkan kualitas material daur ulang yang dihasilkan, sehingga dapat memberikan nilai tambah ekonomi bagi pelaku usaha daur ulang. Optimalisasi teknologi ini diharapkan dapat menjadi solusi yang efektif dalam mengurangi jumlah limbah plastik.
Pelatihan Pengembangan Media Pembelajaran Berbasis Artificial Intelligence Dalam Meningkatkan Kompetensi Profesional Guru Anggota MGMP Bisnis Daring Pemasaran Kabupaten Malang
Authors: Hidayat Rachmad , Rahayu Wening Patmi , Hari Mohammad , Martha Jefry Aulia
Published: December 2024

Perkembangan Artificial Intelligence telah mengubah banyak aspek kehidupan manusia, termasuk dunia pendidikan. Pemanfaatan Artificial Intelligence dalam pendidikan tidak hanya memberikan dampak pada individu, tetapi juga memberikan kontribusi besar terhadap pengembangan masyarakat secara keseluruhan. Pelaksanaan kegiatan pengabdian menggunakan metode: 1) ceramah; 2) tanya jawab; 3) praktek, dan 4) pendampingan. Peserta dalam kegiatan ini adalah guru anggota MGMP Bisnis Daring Pemasaran Kabupaten Malang. Hasil pelaksanaan kegiatan dapat diketahui seluruh peserta sudah memiliki pemahaman terkait perkembangan materi pembelajaran di program studi Bisnis Daring Pemasaran. Seluruh peserta juga sudah memiliki pengetahuan dan pemahaman tentang pemanfaatan Artificial Intelligence dalam mengembangkan media pembelajaran digital.
Penyuluhan Swamedikasi Terpadu Tentang Logo Obat Kepada Masyarakat Pulau Tanjung Pengapit Galang Baru
Authors: Mayefis Delladari , Marliza Hesti , Hainil Sri , Utami Rury Trisa , Gusmali Desy Maniarti
Published: December 2024

Penyuluhan bertema "Penyuluhan Swamedikasi Terpadu Tentang Jenis-Jenis Logo Obat" telah dilaksanakan pada hari Minggu, 13 Agustus 2023, di Desa Tanjung Pengapit, RW 03 RT 01, Kelurahan Galang Baru. Kegiatan ini bertujuan untuk meningkatkan pemahaman masyarakat tentang berbagai logo pada kemasan obat dan artinya terkait keamanan, keaslian, serta kualitas obat. Penyuluhan ini juga bertujuan untuk mendorong praktik swamedikasi yang lebih aman dan efektif, serta membekali masyarakat agar lebih berhati-hati dalam memilih obat dari sumber terpercaya. Materi disampaikan melalui media leaflet, diikuti sesi tanya jawab yang memperkuat pemahaman masyarakat tentang perbedaan antara obat bebas, obat keras, serta obat herbal. Evaluasi menunjukkan peningkatan pengetahuan yang signifikan pada masyarakat, dengan antusiasme tinggi dan peran aktif dari peserta. Dengan demikian, kegiatan penyuluhan ini dinilai berhasil dalam meningkatkan kesadaran masyarakat terkait logo obat dan penggunaan obat secara rasional.
Bibliometric Analysis Based on the Past Twenty Years
Authors: LIN Chien-Liang , ZHU Zeren , SU Yushun , ZHOU Juan , SU Yu-Sheng
Published: December 2024

This study explores the integration of metaverse-associated technologies such as VR, AR, MR in education, employing bibliometric techniques and VOSviewer software to analyze the field. Drawing from the Science Citation Index (SCI) and Social Science Citation Index (SSCI), 937 papers were preliminarily obtained to identify prevailing themes and emerging trends. Five main research clusters were identified: challenges and attitudes in implementing technology, virtual reality in skill training, college students’ self-efficacy and perceptions, interactive educational settings for children, and specific disciplinary knowledge applications. The study contributes to the understanding of the practical application of metaverse technologies in education and may guide future research and development in this rapidly evolving field.
The Influence of Reading Strategies on Comprehension Skills in English Language Learners
Authors: Hilmi Muhammad
Published: December 2024

Reading ability is a fundamental skill in language mastery, especially in English language learning. However, many students in Indonesia experience difficulties in understanding English texts due to a lack of effective reading strategies. This issue forms the basis of a study to evaluate the impact of reading strategies on improving students' reading comprehension. The aim of this research is to analyze how reading strategies can assist students in understanding English texts. The research employs a descriptive quantitative method, involving 50 students divided into experimental and control groups. Data were collected through pre-tests and post-tests and analyzed using normality and homogeneity statistical tests, as well as a T-test to measure the effectiveness of reading strategies. The results showed that the experimental group, which used reading strategies, demonstrated a significant improvement in comprehension compared to the control group. These findings suggest that the application of appropriate reading strategies can enhance reading comprehension skills, particularly for students learning English as a foreign language.
From Past to Present: Philosophical Reflections on AI with a SWOT Approach
Authors: Bozkurt Uzan Şeyma
Published: December 2024

Artificial intelligence (AI) has become a transformative force in the technological world, reshaping various aspects of human life and raising profound philosophical questions. This article explores the intersection of AI and philosophy by conducting a comprehensive literature review and SWOT analysis of 20 significant articles. The study aims to understand how AI influences philosophical debates on ethics, consciousness, intelligence, and human nature. The findings reveal key strengths, weaknesses, opportunities, and threats associated with the current literature. Notable strengths include the foundational impact of highly cited works and the diverse range of topics covered. However, some articles face limitations due to outdated theories or limited practical integration. The study underscores the need for ethical frameworks in AI development and highlights areas for future research, particularly in addressing social justice and equity. By synthesizing existing knowledge, this paper offers new insights into the ethical, social, and philosophical dimensions of AI, providing a solid foundation for future research and policy development.
Educational Psychology and Its Role in EFL Teachers’ Professional Development: Insights from Karachi's Private College Instructors
Authors: Kamran Ahmed  , Intizar Hussain  , Narjis Shahid
Published: December 2024

The evolving demands of modern education require teachers to enhance their effectiveness through professional development, with educational psychology playing a pivotal role. This study investigates the influence of educational psychology on the professional development of English as a Foreign Language (EFL) teachers in Karachi's private colleges. Data were collected through interviews with ten college teachers lacking formal educational psychology training. Using a phenomenological approach, responses were recorded, transcribed, and coded for thematic analysis. The findings highlight that knowledge of educational psychology is essential for both teachers and students, as it equips educators to understand diverse learning styles and employ psychological tools to facilitate effective learning. Furthermore, it encourages teachers to adopt appropriate strategies to cater to individual learner needs, fostering a conducive learning environment. Educational psychology enables the integration of varied teaching techniques and essential 21st-century skills, ultimately shaping teacher and student behavior to enhance educational outcomes. This study underscores the critical role of educational psychology in elevating teaching and learning experiences.
Etika dalam Pengembangan Artificial Intelligence: Tinjauan Pedoman dan Penerapannya
Authors: Prasetya Raynaldi Nugraha , Kusdiyanto Ari , Radiana Usman , Wicaksono Luhur
Published: December 2024

ABSTRAK
Kemajuan dalam pengembangan kecerdasan buatan (AI) telah memunculkan berbagai diskusi terkait aspek etika teknologi ini. Banyak pedoman etika diterbitkan untuk memastikan AI dikembangkan dan digunakan dengan cara yang bertanggung jawab, dengan fokus pada privasi, keadilan, transparansi, dan keamanan. Teknologi AI yang semakin "disruptif" membuat aturan etika ini menjadi sangat penting. Penilitian ini meninjau dan membandingkan 22 pedoman etika AI. Peneliti menemukan bahwa meskipun banyak prinsip yang tumpang tindih, ada kekurangan di beberapa pedoman, terutama terkait keadilan sosial dan penerapan dalam praktik. Penilaian ini menunjukkan bahwa prinsip etika seringkali tidak sepenuhnya diterapkan di lapangan, meski pedoman-pedoman tersebut telah disusun dengan baik. Kurangnya implementasi yang tepat bisa menimbulkan masalah serius di masa depan, terutama karena AI sangat berpengaruh dalam berbagai aspek kehidupan seperti pekerjaan, pendidikan, dan kesehatan. Oleh karena itu, evaluasi mendalam diperlukan untuk memperbaiki pendekatan etika AI. Penulis menyarankan beberapa langkah perbaikan, termasuk peningkatan transparansi dan akuntabilitas dalam pengembangan AI, serta penerapan pedoman etika yang lebih konsisten. Dengan memperkuat prinsip-prinsip ini, diharapkan AI dapat dikembangkan dan digunakan dengan lebih etis, membawa manfaat maksimal bagi masyarakat.
ABSTRACT
Progress in the development of artificial intelligence (AI) has given rise to various discussions regarding the ethical aspects of this technology. Many ethical guidelines are published to ensure AI is developed and used in a responsible manner, with a focus on privacy, fairness, transparency, and security. AI technology is increasingly "disruptive" making these ethical rules very important. This research reviews and compares 22 AI ethical guidelines. Researchers found that while many of the principles overlap, there are gaps in some of the guidelines, particularly regarding social justice and application in practice. This assessment shows that ethical principles are often not fully implemented in the field, even though the guidelines are well developed. Lack of proper implementation could cause serious problems in the future, especially because AI is very influential in various aspects of life such as work, education, and health. Therefore, in-depth evaluation is needed to improve AI ethical approaches. The authors suggest several steps for improvement, including increased transparency and accountability in AI development, as well as more consistent implementation of ethical guidelines. By strengthening these principles, it is hoped that AI can be developed and used more ethically, bringing maximum benefits to society.
Menumbuhkan Identitas Nasional dan Keterampilan Kewarganegaraan: Peran Pemuda Pancasila dalam Program Pendidikan Kewarganegaraan
Authors: Firmansyah Syarif , Firdaus Muhamad , Budiman Ridho Dedy Arief , Astriyani Serly
Published: December 2024

ABSTRAK
Penelitian ini mengkaji peran organisasi Pemuda Pancasila dalam menumbuhkan identitas nasional dan keterampilan kewarganegaraan di kalangan mahasiswa. Masalah utama yang dihadapi adalah kurangnya pemahaman dan penerapan nilai-nilai Pancasila di kalangan generasi muda, terutama dalam konteks pendidikan kewarganegaraan. Tujuan penelitian ini adalah untuk memahami sejauh mana organisasi Pemuda Pancasila berkontribusi dalam mengembangkan rasa nasionalisme, keterampilan berpikir kritis, serta kolaborasi dan komunikasi di antara mahasiswa. Metode penelitian yang digunakan adalah deskriptif kualitatif dengan pendekatan tematik. Sampel penelitian terdiri dari 60 mahasiswa UPGRI Pontianak yang merupakan anggota aktif Pemuda Pancasila. Hasil penelitian menunjukkan bahwa partisipasi dalam Pemuda Pancasila berdampak positif terhadap penguatan identitas nasional dan peningkatan keterampilan kewarganegaraan. Implikasi dari penelitian ini adalah bahwa kolaborasi antara organisasi kepemudaan dan institusi pendidikan dapat menjadi strategi efektif dalam memperkuat karakter kebangsaan di kalangan mahasiswa. Dampak positif lainnya adalah terbentuknya mahasiswa yang lebih kritis, komunikatif, dan memiliki pemahaman mendalam terhadap nilai-nilai Pancasila. Penelitian ini menunjukkan bahwa peran organisasi pemuda sangat penting dalam mendukung pendidikan kewarganegaraan di perguruan tinggi.
ABSTRACT
This study examines the role of the Pemuda Pancasila organization in fostering national identity and citizenship skills among students. The main issue faced is the lack of understanding and application of Pancasila values among the younger generation, particularly in the context of civic education. The purpose of this study is to understand the extent to which the Pemuda Pancasila organization contributes to developing a sense of nationalism, critical thinking skills, as well as collaboration and communication among students. The research method used is descriptive qualitative with a thematic approach. The sample consists of 60 students from UPGRI Pontianak who are active members of Pemuda Pancasila. The results of the study show that participation in Pemuda Pancasila has a positive impact on strengthening national identity and improving citizenship skills. The implications of this research suggest that collaboration between youth organizations and educational institutions can be an effective strategy in strengthening national character among students. Other positive impacts include the development of students who are more critical, communicative, and have a deeper understanding of Pancasila values. This study highlights the importance of youth organizations in supporting civic education in higher education.
The Moderating Role of Spirituality Between Psychological Factors and Financial Risk Tolerance in Government Employees
Authors: Dil Nawaz  , Zeshan Jalil Ghazi  , Shumaila Abid  , Syed Muhammad  , Sami Ullah
Published: December 2024

This study examines the relationship between individual financial risk tolerance and psychosocial factors (sensation seeking, locus of control, self-esteem) with the moderating role of spirituality. The data was collected from 388 government employees and PLS-SEM (Partial Least Square Structural Equation Modeling) was used for data estimation. The study found that individual financial risk tolerance is significantly influenced by psychosocial factors, including sensation seeking, locus of control, and self-esteem. Specifically, individuals with higher sensation seeking and internal locus of control tend to exhibit greater financial risk tolerance. Additionally, self-esteem was positively correlated with a higher willingness to take financial risks. Importantly, spirituality moderated these relationships, with individuals who reported higher spiritual engagement showing more cautious financial behavior, even if their psychosocial traits suggested a higher risk tolerance.
Papel del educador en el desarrollo de la autonomía en la primera infancia
Authors: Pin Macías Angela María , Gaona Morales Teresa Noemí , Soria Vizcaino Mayra Alexandra , González Guayllas Mayra Alexandra , Coloma Asmal Alejandra Stephany
Published: December 2024

Este estudio, basado en una revisión sistemática de 38 investigaciones, exploró el papel del educador en el desarrollo de la autonomía en niños y niñas ecuatorianos de 3 a 5 años. Los resultados sugieren que prácticas como el juego libre, la resolución de problemas y la comunicación empática, enmarcadas en teorías socioculturales, son fundamentales para fomentar esta habilidad. Sin embargo, se identificó una escasez de estudios longitudinales y una heterogeneidad en los instrumentos de medición. Se recomienda profundizar en la investigación cualitativa para comprender las experiencias subjetivas de los niños y los educadores, así como desarrollar instrumentos de evaluación más específicos.
La apicultura, estrategia sostenible para la reducción de riesgo de deslizamientos en el sector Briones de la parroquia San Pablo de la ciudad de Portoviejo.
Authors: Moreira Carreño Katherine Leonela , Mera Párraga Marlon Javier
Published: December 2024

La presencia de eventos naturales dentro de varios cantones de Manabí, como lo es el cantón Portoviejo, son causales constantes de riesgos de deslizamientos que se evidencian en varios puntos del cantón, por esta razón en el presente artículo se ha planteado como problemática general el estudio de un punto focal del cantón Portoviejo, donde han existido acontecimientos relacionados con amenazas de deslizamiento como lo es el sector Briones de la parroquia San Pablo, teniendo en cuenta que en el sector se han evidenciado deslizamientos causados por eventos naturales como lluvias y deforestación. Ante esta última problemática mencionada, se ha planteado como objetivo general, analizar la apicultura, como estrategia sostenible para la reducción de riesgo de deslizamientos en el sector Briones de la parroquia San Pablo de la ciudad de Portoviejo, esto con la finalidad de por medio de la apicultura lograr mitigar la deforestación existente en el sector y así disminuir los riesgos de deslizamiento. La presente investigación se desarrolló bajo la metodología cualitativa, este enfoque se utiliza para una mejor comprensión del problema de estudio, de esta forma se logra comprender los problemas existentes desde sus antecedentes para identificar así alternativas de mitigación de los riesgos,  además la investigación permitirá indagar de manera descriptiva como incide el riesgo por deslizamiento en el sector.
COMPARATIVE EFFICACY OF ALOE VERA AND VITAMIN E ON IMMUNITY, GROWTH, INTESTINAL HISTOPATHOLOGY AND WOUND HEALING IN RABBITS
Authors: Shakeeb Ullah  , Anila Khan  , Faiqa Ramzan  , Sana Ullah  , Noor ul Ain
Published: December 2024

Background: Aloe vera, a succulent plant belonging to the Liliaceae family, has been used for centuries in traditional medicine. Objectives: The prevalence of UTIs and development of resistance against the antibiotics is due to unjustified use of antibiotics.Methodology: This study evaluates the impact of dietary supplementation with Aloe vera extract (PE) and Vitamin E (VE) ongrowth performance, meat quality, immune parameters, cytokine induction, and intestinal histopathology in growing rabbits, Results:Results showed significant improvements in live weight (LW) and average daily gain (ADG) in the PE and VE groups, with the S+PE+VE group exhibiting the highest gains. Meat quality analysis revealed increased muscle redness and reduced water loss in the PE and VE groups. Immunological assays indicated elevated IgM and IgG levels, particularly in the S+PE+VE group, suggesting a synergistic immune enhancement. Cytokine analysis showed decreased IL-6 and increased TNF-α levels in the supplemented groups, indicating modulated cytokine activity. Histopathological examination revealed significant enhancements in intestinal morphology in the S+PE+VE group, including hypertrophy of villi, increased goblet cell count, and enhanced secretory activity, suggesting improved nutrient absorption. Wound healing studies demonstrated accelerated recovery in the S+PE+VE group, with reduced inflammation and faster wound closure. Conclusion: It is concluded that the Aloe vera and Vitamin E supplementation in rabbit feed significantly improves growth performance, meat quality, immune response, intestinal health, and wound healing, highlighting their potential as beneficial dietary supplements in rabbit production and other animal species.
A comprehensive study on native plant species for phytoremediation of heavy metals contamination in soil
Authors: Geeta  , Dr. Sandhya Choudhary
Published: December 2024

Phytoremediation refers to the use of plants to remove or stabilize environmental contaminants in an environment. It is regarded as a highly effective and inexpensive method in countering heavy metal pollution. This paper examines the feasibility of using native plants in phytoremediation through the demonstration of their sensitivity, survivability, and tolerance towards the local environmental condition and their capability to accumulate and tolerate contaminants such as lead, cadmium, and arsenic. Native species have various advantages that include lesser upkeep requirements, improved ecosystem incorporation, and least invasive danger. The mechanisms involved in phytoremediation range from phytoextraction, Phyto stabilization, and rhizofiltration to the specific roles played by native plants in remediation processes of soil and water. Case studies are presented to demonstrate the successful use of native species at various contaminated sites. Challenges related to scalability and ecological risks are addressed. Emerging trends, including biochar amendments, genetic modification, and expanded applications into urban areas, suggest promising future directions.
A Study of New Approaches to Statistical Analysis of Research data
Authors: Dr. Sandhya Choudhary  , Dr. Vikram Singh  , Dr. Sanjeev Kumar Singh
Published: December 2024

Statistical analysis has been at the heart of scientific research, providing critical tools for data interpretation, decision-making, and hypothesis testing. Some of the ancient techniques used were hypothesis testing, regression analysis, and time series analysis, among others. Such methods have proved to be good tools for researchers dealing with smaller and more structured datasets. However, the large size and complexity of the dataset exposed the weaknesses in such classical approaches, especially in handling large, unstructured, or non-linear datasets. Increased computing power and the development of machine learning algorithms have increased flexibility, nudging the statistical approach towards more flexible, data-driven methods. This paper reviews emerging approaches such as machine learning, deep learning, Bayesian methods, and network analysis and places an emphasis on how these approaches can be applied over a range of fields where they could vastly transform statistical analysis. Based on this review, comparing traditional and modern methodologies, it thereby demonstrates how innovations better complement rather than replacing the capabilities of statistical analysis, thus shaping the future of research in this changing environment.
Rainfall Modeling using a Machine Learning Approach as Support for the Early Warning System for Flood Disasters in Malang Regency, Indonesia
Authors: Sumarminingsih Eni , Astutik Suci , Rahmi Nur Silviyah , Redi Aqsa Yudhistira , Aulia Natasha
Published: December 2024

Malang is one of the areas in East Java - Indonesia that has the potential to experience flooding caused by high rainfall. Floods have a negative impact on both agriculture and public health. Therefore, it is necessary to create a rainfall prediction model in Malang that supports the creation of an early warning system for flood disasters. In this research, a machine learning approach was used, namely the Long Short Term Memory model, to model monthly rainfall at three stations in Malang Regency, namely Abd. Saleh Airbase Station, Karangkates Station and Karangploso Station. Several inputs were tried, namely rainfall lag from the station itself and from neighboring stations as well as other weather variables, namely air humidity, air pressure and air temperature. The results obtained from this research are the best LSTM model for Abd. Saleh Airbase Station rainfall in is similar to the best LSTM model for Karangploso Station rainfall, namely a LSTM model with input rainfall lag 6 for the station itself. Meanwhile, the best model for Karangkates Station rainfall is a model with input rainfall lag 1, lag 4 and lag 6 from the three stations.. KEYWORDS :Machine learning, Long short term memory, Monthly rainfall, Modeling.
A Strategic Health Index for Maternal and Child Wellbeing in Uttar Pradesh using MCDM
Authors: Sharma Sumedha , Singh Niraj Kumar , Shalwee Shalwee , Kumar Jitendra
Published: December 2024

Maternal and child health (MCH) is a critical indicator of overall societal well-being, particularly in developing countries. The study presents a comprehensive analysis to evaluate MCH in Uttar Pradesh (UP), a state facing significant public health challenges. Using National Family Health Survey (NFHS-5) data on MCH indicators, we developed a health index to systematically assess and compare health status across various districts. The multi-criteria decision-making (MCDM) technique, specifically Criteria Importance Through Inter-criteria Correlation (CRITIC) and TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) is used to determine the importance of closeness of various criteria affecting MCH care, such as antenatal care, institutional delivery, postnatal care, immunization coverage and nutritional status. The overall performance of each district in terms of MCH was measured to develop a composite index based on the MCDM approach. In contrast, the indicator weights were determined by the CRITIC method. Some districts showed better performance on specific indicators, while others lagged. The resulting index provides a nuanced understanding of the regional disparities within UP, highlighting areas of urgent need for healthcare interventions. The findings underscore the importance of targeted policies and programs to improve MCH outcomes, contributing to the broader goals of sustainable development and public health enhancement in the region.. KEYWORDS :Maternal and child health, CRITIC, TOPSIS, Index.
Project on Determining Vehicle Power in Submarine Vehicle Design Using Regression Analysis to Enhance Students Understanding of Simple Pendulum Concepts
Authors: Widya Rohmawati  , Amos Isiaka Gambari  , Anas Seidu Salifu
Published: December 2024

This study aims to determine vehicle power in submarine vehicle design using regression analysis and enhance Students understanding of the simple pendulum concept. In this experiment, tests were conducted to analyze the relationship between various variables such as speed, force, and vehicle mass in relation to the power generated. The regression analysis results revealed a significant correlation between the applied force on the vehicle and the speed achieved, which was then used to calculate the required power for submarine vehicle design. Additionally, the study seeks to provide students with a deeper understanding of fundamental physics concepts, particularly the simple pendulum, by applying these concepts in the context of submarine vehicles. This research is expected to contribute to physics education and practical applications in vehicle design through regression-based analysis.
Development of Articulate Storyline-Based Media for Momentum and Impulse Material in Grade X Senior High Schools, Indonesia
Authors: Dimas Mahendra  , Dewi Kgajar Fitriana  , Khusaini Khusaini , Bakhrul Rizky Kurniawan
Published: December 2024

This study aims to develop an android application-based learning media that is literacy-oriented on Momentum and Impulse material and can be run on most devices owned by students. The creation goes through several stages in its formation. Through an application on a computer or laptop called Articulate Storyline, it is developed in such a way as to become a learning media that can be used in everyday learning. With the development model used is the ADDIE model. This model was chosen because it has research steps that are systematically arranged. The steps of the ADDIE research and development procedure consist of five stages, namely Analyze, Design, Develop, Implementation and Evaluation. Which is intended for teachers and students of State High School (SMAN) 2 Pare and State Islamic High School (MAN) Paser with supporting data for material and media validation tests. The results of the study produced 91% for the media validation test and 83% for the results of the material validation test and it can be said that the learning media is very suitable for use. While the test results for teachers and students at MAN Paser and also SMAN 2 Pare each showed 90% and 94% for teachers and 90% and 89% for students.
The Relationship Between Confidence and Anxiety in Facing the Workforce Among Final-Semester Students
Authors: Patricia A. Chesser-Smyth  , Ade Sukmawati  , Jacinthe Dancot  , Odeh Murad  , Tananuraksakul Noparat
Published: December 2024

This study aims to determine the relationship between self-confidence and anxiety in facing the world of work in final semester students at the Faculty of Technologies, South East Technological University. The method used in this study is the person correlation research method. Data collection techniques using the scale method. The self-confidence scale and anxiety scale in dealing with the world of work are measured using the Likert scale model. On the self-confidence scale, there are 40 items and on the anxiety scale in dealing with the world of work, there are 40 items. The reliability coefficient for the self-confidence scale is 0.447 and the reliability coefficient for the anxiety scale in facing the world of work is 0.408. To find out the relationship between self-confidence and anxiety in facing the world of work in final semester students, the Pearsion correlation technique was used. The results of this study's data analysis showed a significant value of the relationship between anxiety and self-confidence of 0.000 <0.05 which indicates that there is no relationship between self-confidence and anxiety. The result of obtaining the pearson correlation between the two variables is -0.002. This can be interpreted that the relationship between anxiety and self-confidence has a negative direction and is not significant. This means that the research hypothesis is accepted. In other words, there is a negative relationship between self-confidence and anxiety in facing the world of work in final semester students at the Faculty of Psychology, South East Technological University.
Differences in Academic Saturation Levels of Students at National Senior High Schools in Malang Based on Gender
Authors: Nofira Rina Cahyani  , Victoria Luong  , Soram Goutam
Published: December 2024

This study aims to determine the differences in academic saturation levels of SMA Nasional Malang students based on gender. This study uses a comparative descriptive design with a quantitative approach. This study used 196 respondents obtained through a cluster random sampling technique. The data collected were inventory and analyzed using the hypothesis test (t). Based on the results of the analysis, it is known that the t statistic value obtained was 1.313 and the p value (P-value) obtained was 0.180. It can be concluded that there is no significant difference between male and female gender on academic saturation of SMA Nasional students. This means that gender does not affect the level of academic saturation of students.
Hidden Domination Mechanism in Student Intolerance Practices at Higher Education in Bima City
Authors: Syukurman Syukurman , Syamsu A. Kamaruddin  , Arlin Adam  , Syamsidah Syamsidah , Najamuddin Najamuddin
Published: December 2024

This study examines the Mechanism of covert domination in the social practices of student intolerance in Higher Education (HE) in Bima City, with a focus on to investigate how covert domination in the social practices of student intolerance operates in HE at Bima City. The study uses a descriptive qualitative research method. This study began with data collection through various techniques such as in-depth interviews, observations, and document reviews. These data were then analyzed to find patterns of intolerant behavior and the social and cultural contexts that underlie them. The results of this study reveal organizational dominance, manipulation of student awareness, exclusion of minority groups, normalization of campus life, and neglect of minority religious practices. The results also show that the dominance of certain student organizations often creates a non-inclusive environment, where student awareness is manipulated to support certain agendas, resulting in the exclusion of minority groups. Minority religious practices are often ignored, which contributes to the normalization of intolerant campus life. Then in this study it was found that inclusive education and the formation of an equal community in realizing a more tolerant HE in Bima City.