bluuebunny/crossref_metadata_2025 huggingface dataset:
Sağlık Bilimleri Fakültesi Öğrencilerinin İntörn Uygulamasına İlişkin Algılarının Görev Performansına Etkisi
Authors: ÇALIŞKAN Abdullah , KÖROĞLU Emine Özlem
Published: January 2025

Bu çalışmanın amacı sağlık bilimleri fakültesi öğrencilerinin İntörn uygulamasına ilişkin algıları ile görev performansı arasındaki ilişkiyi araştırmaktır. Çalışma Toros Üniversitesi Sağlık Bilimleri Fakültesi İntörnuygulamasını tamamlamış 78 öğrenci ile gerçekleştirilmiştir. Çalışmada öğrencilerin demografik özellikleri, İntörn dersine ilişkin algıları ve görev performansına etkisi anket soruları ile sorgulanmıştır. Veriler, İntörn uygulama ölçeği, görev performansı ve iş performansı ölçeği ile toplanmıştır. Verilerin analizleri SPSS 22.0 programı ile yapılmıştır. Araştırma bulgularına göre İntörn uygulamaları ve alt boyutları olan öğrenim kazanımları ile mentörlük ve yönlendirmenin bağımlı değişken görev performansı üzerinde anlamlı ve pozitif yönlü etkisinin olduğu tespit edilmiştir. Öğrenciler, görev performanslarına ilişkin algılarını oluşturan ifadeler için, görevin gerektirdiği yetkinliklere sahip olduklarını (%94,9), işle ilgili prosedürleri anladıklarını ve yerine getirdiklerini (%92.3), işleriyle ilgili yeni beceriler kazanmak konusunda istekli olduklarını (%88.5) ve kendilerine tanımlı görevi tam ve zamanında sonuçlandırmak için, planlı ve organize çalıştıklarını belirtmişlerdir (%94.9). İntörn uygulamaları ve alt boyutları olan öğrenim kazanımları ile mentörlük ve yönlendirmenin bağımlı değişken görev performansı üzerinde anlamlı ve pozitif yönlü etkisinin olduğu tespit edilmiştir. Etkili intörn uygulamalarının tasarlanması ve uygulanmasına yönelik, eğitimciler ve politika yapıcılar için önerilerde bulunulmuştur.
İstenmeyen Perioperatif Hipotermi ve Kanıt Temelli Hemşirelik Bakımı
Authors: BOZKUL Gamze , ALTUN UĞRAŞ Gülay
Published: January 2025

İstenmeyen perioperatif hipotermi, ameliyat öncesi dönemden ameliyat sonrası döneme kadarki süre içinde vücut sıcaklığının 36 0C’nin altına düşmesidir. Hastaya bağlı ve cerrahi süreçle ilgili çeşitli risk faktörleri bu duruma zemin hazırlamaktadır. İstenmeyen perioperatif hipotermi hastaların yaklaşık %70’inde meydana gelmektedir. Hastalarda cerrahi alan enfeksiyonları, kan kaybı, artan transfüzyon gereksinimleri, uzamış yara iyileşmesi, titreme ve kardiyak sorunlar gibi çeşitli komplikasyonlara yol açmaktadır. Olumsuz hasta çıktıları, uzamış hastanede kalış süresi ve artan maliyetlerle ilişkilidir. Bu durumu önlemek için ise aktif ya da pasif ısıtma yöntemleri kullanılmaktadır. Cerrahi süreç içerisinde hemşireler, hastaların bakımında ve izleminde kilit roldedirler. Hemşirelerin istenmeyen perioperatif hipotermiye yönelik farkındalıklarının arttırılması, eğitimlerinin sürekliliğinin sağlanması ve geliştirilen rehberlerin klinik uygulama becerilerine entegrasyonu sağlanmalıdır. İngiltere Ulusal Sağlık ve Klinik Bakım Mükemmelliği Enstitüsü, PeriOperatif Kayıtlı Hemşireler Derneği ve Amerikan PeriAnestezi Hemşireleri Derneği tarafından sağlık profesyonellerine yönelik bu konu için kanıt temelli uygulamaların yer aldığı rehberler hazırlamıştır. Cerrahi hemşirelerinde hipoterminin önlenmesine yönelik girişimlerin yaygınlaştırılması ve kanıta dayalı rehber önerilerin uygulamaya yansıtılabilmesi amacıyla planlamaların yapılması gerekmektedir.
Edeka bekommt keinen Jacobs-Kaffee mehr
Authors: Hebben Miriam , Hofmann Janine , Sachsenröder Delphine
Published: January 2025

Ein erneuter Streit um Konditionen mit dem Kaffee-Lieferanten JDE Peet’s sorgt für Lücken in den Edeka-Regalen. Dabei hatte sich der Händler erst kürzlich mit dem Hersteller geeinigt.
Transgourmet plant Übernahme
Authors: Schulz Hans-Jürgen
Published: January 2025

Transgourmet steht vor der Übernahme eines Foodservice-Großhändlers. Pier 7 Food Import könnte schon bald das Portfolio ergänzen. Damit wäre das Deutschland-Engagement der südafrikanischen Pier 7-Eigentümer Bidcorp beendet.
„Eskalation ist nicht unser Erfolgsmodell“
Authors: Stockburger Manfred
Published: January 2025

EMD-Chef Philippe Gruyters rechnet mit einer weiteren Konsolidierung des europäischen Lebensmittelhandels.
Süßwarenmesse buhlt um junge Unternehmen
Authors: Sobbe Carola
Published: January 2025

Am Sonntag in zwei Wochen startet die Internationale Süßwarenmesse in Köln. Mit rund 1500 Unternehmen nimmt die Zahl der Aussteller seit Corona weiter zu. Aus Deutschland allerdings zeigen weniger Anbieter Präsenz.
Veltins trotzt Branchenflaute
Authors: Brück Mario , Sobbe Carola
Published: January 2025

Der deutsche Biermarkt verliert 2024 erneut Menge. Krombacher kann sich vom Branchentrend nicht abkoppeln – im Gegensatz zu Wettbewerber Veltins.
„Joghurt ist keinesfalls ein To-go-Produkt“
Authors: Lenders Dirk
Published: January 2025

Auf der Grünen Woche trifft sich die Branche zum Milch-Montag. Zu besprechen gibt es einiges, auch die Folgen des Ausbruchs der Maul- und Klauenseuche (MKS).
Kritik an geplanten EU-Regeln
Authors: Bender Hanno
Published: January 2025

Das Bundeslandwirtschaftsministerium hat die betroffenen Wirtschaftsverbände zu den Vorschlägen der neuen EU-Kommission zur Stärkung der Landwirtschaft befragt. Ernährungs- und Markenindustrie lehnen die Pläne ab und selbst die Landwirte üben Kritik.
Kommissar Hansen verteidigt Kompetenzverlagerung
Authors: Falker Gerrit-Milena
Published: January 2025

Klammheimlich, so der Vorwurf, haben EU-Kommission und europäisches Markenamt besiegelt, dass Letzteres mehr Mitspracherecht bei der Vergabe geografischer Herkunftsangaben hat.
Nvidia nimmt Supply Chain des Handels ins Visier
Authors: Klug Denise
Published: January 2025

Der KI-Riese Nvidia will mit Software für Digitale Zwillinge bei der Branche punkten. Vice President Azita Martin ist überzeugt, dass im Handel die Logistik am meisten von Künstlicher Intelligenz profitieren wird.
KI-Agenten erobern Markt
Authors: Klug Denise
Published: January 2025

Generative KI wird zunehmend zur Basis für Tech-Innovationen. Ein Besuch der NRF-Show in New York zeigt vor allem eine Veränderung: Die Systeme agieren immer selbstständiger.
Einkaufsverhalten wird diverser
Authors: Nusser Bernd
Published: January 2025

Eine PwC-Studie zur Zukunft des Handels identifiziert vier Trends, die das Einkaufsverhalten in Zukunft prägen werden: wachsende Diversität, hohes Preisbewusstsein, innovative Technologien und Fokus auf Nachhaltigkeit.
BAHAN AJAR SIMULASI PERKANTORAN DIGITAL BERBASIS PROJECT BASED LEARNING
Authors: Armayanti Nelly , Pramana Dodi , Rahmadana M. Fitri
Published: January 2025

Professional teaching staff have a direct influence on student learning outcomes, especially in the 21st century, where developments in technology, information and communication are growing rapidly. The challenge of 21st century learning is a problem found in the office administration education study program, namely the lack of digital-based teaching materials owned by lecturers to teach these courses. This research aims to prepare teaching materials for the Theory and Practice based Office Simulation course and is also accompanied by a Project Based Learning model. The reason for choosing the Office Simulation course is because this course is the basis for students to become familiar with administrative and administrative practices in the concept of office administration. This research is Research and Development (RnD) research using the ADDIE development model which consists of 5 (five) implementation stages, namely: (1) Analysis, (2) Design, (3) Development (4) Implementation, and (4) Evaluation. The data analysis techniques used in research include 3 (three) types, namely Validity, Effectiveness and Practicality. The results of this research show that the average percentage of validator scores for the content aspect is 88.66%, the presentation aspect is 90.66% and the language is 92.88%, these three aspects show that the office simulation book is very suitable for use. Meanwhile, practical testing for the content aspect was 93.04%, the presentation aspect was 88.05% and the language aspect was 88.04%. From this tabulation, the office simulation book is very practical to use. In testing effectiveness through parametric tests, a calculated t value of 26.599 can be obtained with a significance value of 0.00 < 0.05, so H0 is rejected. Thus, student learning outcomes after using office simulation books are significantly higher than those who do not use teaching materials.
 
Keywords: Teaching Material, Learning Outcomes, Office Simulation
Authors: Winardi Muhammad Aziz , Dira Aldi Friyatna , Utomo Kurniawan Prambudi , Suntoro Bambang
Published: January 2025

Penelitian ini bertujuan untuk mengeksporasi mengembangkan Green Job dan Soft Skill: pengaruh strategi pariwisata berkelanjutan untuk peningkatan layanan di Jawa Barat. Dengan meningkatnya kesadaran lingkungan dan kebutuhan akan pariwisata yang berkelanjutan, pengembangan skill di bidang green job menjadi semakin signifikan dan diperlukan. Metode Penelitian ini menggunakan statistik kuantitatif dengan menganalisis penelitian ini mencakup survei dan wawancara sebagai responden dengan para pekerja pariwisata, pengusaha, dan pemangku kepentingan terkait di beberapa destinasi wisata utama di Jawa Barat dan dilakukan pengolahan data menggunakan statistik SPSS V 25. Hasil penelitian menunjukkan bahwa pengaruh green job atau pekerjaan hijau dan pelatihan soft skill mampu meningkatkan kualitas layanan pariwisata dengan berkontribusi positif signifikan terhadap pertumbuhan ekonomi lokal di tempat wisata Jawa Barat. Implementasi pengaruh dan strategi ini diusulkan sebagai pendekatan holistik dan terintegrasi untuk mempromosikan pariwisata berkelanjutan yang menguntungkan secara ekonomi dan ramah lingkungan.
Assessment of Recommended Sunflower (Helianthus Annuus L) Production Practices Adoption among Farmers in Mkalama District, Tanzania
Authors: D. G. Kingu , C. P. Msuya , V. J. Kalungwizi
Published: January 2025

Sunflower (Helianthus annuus L.) is an important oilseed crop in Tanzania, and in the Mkalama District in particular. This study aimed to assess the level of adoption of recommended sunflower production practices among farmers in the district. Data was collected through a survey of 147 sunflower farmers in six villages. The results showed that most farmers practiced land preparation before planting and used broadcasted seeds during sowing. However, only a small proportion of farmers used recommended fertilizer application practices. The preferred types of seeds were also found to vary among farmers, with the majority preferring farmer-saved seeds apart from hybrid seeds. Most farmers harvested their sunflower crops between 90 and 130 days after planting. The study showcased the need for education and training for farmers to adopt better sunflower production practices, especially with regards to fertilizer application. This could lead to increased productivity, which invariably will have a positive impact on the livelihoods of farmers in the district.
Factors informing media coverage of presidential candidates in Kenya’s 2022 general election
Authors: Torotwa Ezer
Published: January 2025

This study investigated the factors informing media coverage of presidential candidates during Kenya's 2022 General Election, focusing on the differences between The Daily Nation and The Standard Newspaper. The research addresses potential biases and priorities in media reporting that could influence public perception and voter decision-making. The study utilised a mixed-methods approach combining quantitative surveys with qualitative interviews to analyse journalist responses. The evaluation considers the impact of factors such as candidates' political history, policy proposals, and poll ratings on the prioritisation of news stories. Results indicated that The Standard emphasised candidates' past political history and policy proposals while The Daily Nation primarily focused on poll ratings. Both outlets recognised the candidate's manifesto as the most critical factor driving Coverage. The study also highlighted media bias, which was reported as systematic and anecdotal. Systematic biases stemmed from editorial policies and ownership influence, while anecdotal biases reflected individual journalist preferences. This bias shaped public opinion by influencing which aspects of candidates were most visible, potentially affecting voting choices. The study underscores the media’s pivotal role in shaping public opinion and the necessity for balanced reporting. The study's recommendations included promoting diverse candidate coverage, enhancing bias-awareness training for journalists, implementing robust editorial guidelines, and fostering a feedback culture to ensure more impartial and comprehensive election reporting. These measures aimed to empower voters with the necessary information for informed decision-making in future elections.
ANALISIS PENGARUH FILM “ICE COLD” KASUS KOPI SIANIDA TERHADAP SENTIMEN PENGGUNA YOUTUBE DENGAN SVM DAN RANDOM FOREST
Authors: Salungweni Bellatrix , Weku Winsy , Ketaren Eliasta
Published: January 2025

Kemajuan teknologi saat ini memungkinkan pertukaran informasi dengan mudah melalui media sosial, yang telah berkembang pesat sejak tahun 1970-an. Di Indonesia, dengan populasi 276,4 juta jiwa, terdapat 167 juta pengguna aktif media sosial, termasuk 139 juta pengguna YouTube, platform berbagi video terpopuler. Fitur YouTube memungkinkan interaksi pengguna melalui komentar dan melihat topik trending, seperti kasus kematian Wayan Mirna Salihin, yang kembali menjadi perhatian setelah penayangan film dokumenter "Ice Cold" di Netflix pada 23 September 2023. Penelitian ini bertujuan untuk menganalisis sentimen komentar pengguna YouTube dengan jumlah 4000 data komentar terkait kasus Kopi Sianida dengan konten yang berfokus kepada Jessica Wongso sebelum dan sesudah penayangan film menggunakan lexicon based dan dilanjutkan dengan klasifikasi menggunakan dua algoritma yaitu Support Vector Machine (SVM) dan Random Forest. Dengan metode Lexicon-based menggunakan kamus InSet, penelitian ini mengelompokkan sentimen menjadi dua kategori: positif dan negatif. Hasil penelitian menunjukkan bahwa penayangan film "Ice Cold" dapat meningkatkan simpati pengguna Youtube terhadap Jessica Wongso, dibuktikan dengan peningkatan sentimen positif dari data sebelum penayangan ke sesudah penayangan film. Selain itu, evaluasi performa model algoritma menunjukkan bahwa SVM memiliki akurasi terbaik dalam klasifikasi sentimen, baik pada data sebelum maupun sesudah penayangan film "Ice Cold".
SISTEM MONITORING DETEKSI ASAP ROKOK DALAM RUANGAN BERBASIS INTERNET OF THINGS
Authors: Rabah Fitra Zulfachrezi , Komalig Hanny , Ketaren Eliasta
Published: January 2025

Isu asap rokok dan perokok telah jadi masalah dunia. Bahan bahan yang terkandung dalam rokok sendiri dapat merugikan kesehatan dan membuat kecanduan. Agar dapat menanggulangi kontaminasi polusi asap rokok dalam ruangan dibuatlah sistem monitoring pendeteksi asap rokok dalam ruangan. Tujuan dari penelitian ini adalah untuk membangun sistem monitoring deteksi asap rokok dalam ruangan berbasis internet of things. Sistem ini dikembangkan menggunakan internet sehingga dalam memonitoring asap bisa dilakukan dimana saja selama masih terkoneksi internet. Penelitian ini menggunakan sensor MQ-2 sebagai pendeteksi asap, NodeMCU akan memproses inputan dari sensor, NodeMCU yang akan mengirimkan data inputan sensor ke blynk lalu akan ditampilkan di website blynk. Internet berfungsi sebagai transmisi dari website blynk dengan alat pendeteksi asap rokok. Hasil uji coba membuktikan bahwa sistem ini dapat memonitoring asap rokok dalam ruangan kapan saja selama website masih terkoneksi dengan internet.
THE IMPLEMENTATION OF BLOCKCHAIN SYSTEM IN VEHICLE REGISTRATION CERTIFICATE (BPKB) DATA BASED ON A WEBSITE
Authors: Samola Jonathan , Tenda Edwin , Pinontoan Benny , Ketaren Eliasta
Published: January 2025

The Vehicle Registration Certificate (STNK) and the Vehicle Ownership Document (BPKB) are crucial documents for identifying and proving vehicle ownership. Without a BPKB, verifying the legitimacy of a vehicle becomes difficult, potentially rendering it illegal and increasing the risk of it being classified as stolen. The process of verifying a BPKB at the central office involves lengthy and time-consuming procedures, complicating the process. The lack of efficient methods for verifying vehicle documents can lead to the production of counterfeit documents by unauthorized parties. This research proposes the development of a secure and easily traceable web application utilizing Ethereum blockchain technology. The application employs Ethereum blockchain architecture and MetaMask as a digital wallet for transactions and login, along with JavaScript, HTML, and CSS for the front end. This solution aims to streamline the verification process, enhance document security, and prevent the circulation of fraudulent vehicle documents. With this system, vehicle document verification becomes faster and more efficient. Blockchain ensures that every transaction and document is securely recorded and immutable, reducing the risk of forgery. MetaMask provides additional security, while modern web technologies ensure the application is user-friendly. This solution strengthens vehicle document security and simplifies the verification process.
ANALISIS SENTIMEN APLIKASI TIKTOK MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE (SVM) DAN RANDOM FOREST
Authors: Tangke Riyanto , Tineke Salaki Deiby , Widsli Kalengkongan Wisard , Ketaren Eliasta
Published: January 2025

Pandemi Covid-19 mengakibatkan peningkatan penggunaan media sosial, termasuk TikTok, yang mendapatkan berbagai ulasan dari pengguna. Penelitian ini bertujuan untuk menganalisis sentimen ulasan TikTok menggunakan algoritma Support Vector Machine (SVM) dan Random Forest. Data diambil dari Google Play Store dan diproses dengan TF-IDF untuk pembobotan kata serta SMOTE untuk menangani ketidakseimbangan data. Hasil penelitian menunjukkan bahwa algoritma Random Forest mencapai akurasi 93% dan SVM 90%. Meskipun SVM menunjukkan kinerja yang baik pada data dengan margin kelas yang jelas, Random Forest lebih stabil dalam menangani variasi data dan lebih tahan terhadap overfitting. Oleh karena itu, Random Forest lebih cocok untuk analisis sentimen ulasan TikTok pada dataset yang besar dengan ketersediaan sumber daya komputasi yang memadai. Penelitian ini memberikan wawasan berharga bagi pengembang aplikasi dan pemangku kepentingan untuk meningkatkan kualitas aplikasi berdasarkan ulasan dari pengguna.
PENERAPAN APLIKASI RENTAL MOTOR BERBASI WEBSITE MENGGUNAKAN EXTREME PROGRAMMING (STUDI KASUS CV.KMP)
Authors: Daud Juliansyah , A.R. Langi Yohanes , Ayu Widiana Siska , Ketaren Eliasta
Published: January 2025

Dalam era digital saat ini, perkembangan teknologi informasi telah mempengaruhi berbagai aspek kehidupan manusia, termasuk dalam bidang transportasi. Salah satu bentuk transportasi yang cukup populer adalah sepeda motor. Motor menjadi pilihan transportasi yang efisien dan praktis, terutama di kota-kota besar seperti Manado. Industri rental motor merupakan sektor bisnis yang menyediakan layanan penyewaan kendaraan motor untuk jangka waktu tertentu kepada konsumen. Permasalahan yang sering terjadi dalam industri rental motor meliputi penyimpanan data yang masih dituliskan di dalam buku serta informasi tentang ketersediaan kendaraan motor dan kondisi motor yang disewakan. Customer harus datang ke tempat rental untuk melihat kendaraan yang tersedia serta kondisi fisik kendaraan motor. Untuk mengatasi permasalahan ini, sebuah website telah dikembangkan untuk memudahkan customer dalam melihat data ketersediaan motor. Website ini menggunakan bahasa pemrograman PHP dan basis data MySQL. Dengan adanya website ini, customer dapat dengan mudah melihat data ketersediaan motor, sementara pihak rental dapat menyimpan data customer kedalam sistem serta mengelola data transaksi dengan mudah. Pendekatan Extreme Programming digunakan dalam pengembangan aplikasi ini untuk memastikan fleksibilitas dan responsivitas terhadap kebutuhan pengguna.
IMPLEMENTASI METODE DESIGN THINKING PADA RANCANGAN UI/UX WEBSITE RUMAH SAKIT UMUM DAERAH NOONGAN
Authors: Priskila Tuuk Talita , E. Mongi Charles , A. J. Soewoeh Christian , Ketaren Eliasta
Published: January 2025

Rumah Sakit Umum Daerah Noongan (RSUD Noongan), yang terletak di Langowan Barat, Kabupaten Minahasa, merupakan rumah sakit tipe C yang dikelola oleh Dinas Kesehatan Provinsi Sulawesi Utara. Dalam upayanya untuk meningkatkan kualitas pelayanan, RSUD Noongan berfokus pada pengembangan teknologi informasi dengan visi "Meningkatkan Sistem Manajemen Rumah Sakit yang berbasis Sistem Teknologi Informatika." Meskipun RSUD Noongan telah mendapat apresiasi dari masyarakat karena pelayanannya yang responsif dan efisien, rumah sakit ini belum memiliki desain prototype atau website resmi. Oleh karena itu, penelitian ini bertujuan merancang UI/UX untuk website rumah sakit berbasis web menggunakan metode design thinking, guna menciptakan antarmuka yang intuitif dan menarik, serta memastikan pengalaman pengguna yang memuaskan melalui usability testing. Hasil penelitian menggunakan kuesioner Single Ease Question (SEQ) dan System Usability Scale (SUS) menunjukkan bahwa sistem desain memperoleh nilai SEQ sebesar 6,82, menunjukkan UX dan usability yang sangat efektif. Pengujian SUS mendapatkan nilai 83, yang mengindikasikan bahwa sistem dinilai sangat mudah digunakan dan masuk dalam kategori "Excellent" oleh 10 responden. Skor ini menegaskan bahwa pengguna puas dan menganggap sistem ini memiliki tingkat usability yang sangat tinggi.
SISTEM INFORMASI MANAJEMEN BARANG MASUK DAN KELUAR MENGGUNAKAN METODE WATERFALL
Authors: Br Sinulingga Juliana Tresia , Halim Marwa , Nasution Suhendri
Published: January 2025

Kemajuan dalam bidang teknologi, khususnya di sektor komputer, telah mengalami perkembangan yang sangat pesat, terutama dengan adanya internet. Seiring dengan kemajuan ini, berbagai instansi seperti perusahaan, lembaga, dan masyarakat umum berupaya memanfaatkan teknologi tersebut, baik dari segi perangkat lunak maupun perangkat keras. Kemajuan yang signifikan telah dicapai, termasuk dalam aplikasi yang tersedia untuk mengolah data dan menyediakan informasi yang lebih rinci. Hasil dari pengolahan data ini menunjukkan bahwa informasi sangat penting bagi setiap individu karena mereka dapat memperoleh informasi yang diperlukan dengan lebih mudah dan cepat. Informasi yang tersedia di internet memungkinkan pengguna untuk dengan mudah mengakses berbagai macam data. Internet memberikan dampak yang signifikan bagi banyak orang karena memungkinkan kita untuk mengeksplorasi berbagai jenis informasi yang disajikan dalam bentuk website. Website menjadi sarana bagi orang-orang untuk mendapatkan informasi secara langsung dengan cara yang sederhana, cepat, dan akurat. Oleh karena itu, penulis bermaksud menjelaskan tentang pembuatan website dan bagaimana kita dapat memperoleh informasi melalui website tersebut. Dalam skripsi ini, penulis akan membahas "Sistem Informasi Manajemen Barang Masuk dan Keluar Menggunakan Metode Waterfall", yang akan menjelaskan bagaimana website digunakan untuk mengelola barang dengan menggunakan pendekatan metode Waterfall dalam pengembangan sistem.
OPTIMALISASI PENENTUAN TATA LETAK BARANG MENGGUNAKAN ALGORITMA FP-GROWTH PADA DATA TRANKSAKSI PENJUALAN
Authors: Mahtum Rohiqim , Fatah Zaehol
Published: January 2025

Penentuan tata letak barang yang optimal di sebuah toko memiliki peran penting dalam meningkatkan efisiensi operasional dan pengalaman pelanggan. Dalam penelitian ini, diusulkan penerapan algoritma FP-Growth untuk menganalisis pola asosiasi dari data transaksi penjualan guna mengoptimalkan tata letak barang. Algoritma FP-Growth dipilih karena kemampuannya dalam menemukan asosiasi frekuensi tinggi antar produk tanpa harus melalui tahap pencarian kandidat yang memerlukan waktu komputasi besar. Dengan menganalisis hubungan antar produk yang sering dibeli bersamaan, hasil penelitian ini memberikan rekomendasi penempatan produk yang strategis untuk memaksimalkan peluang pembelian dan meningkatkan kepuasan pelanggan. Studi kasus dilakukan pada data transaksi sebuah toko ritel yang diperoleh di internet, dengan hasil menunjukkan peningkatan efisiensi dalam pengaturan tata letak barang serta potensi peningkatan penjualan. Implementasi FP-Growth terbukti efektif dalam mengurangi waktu analisis dan memberikan hasil yang akurat dalam menentukan hubungan antar produk. Penelitian ini diharapkan dapat menjadi acuan bagi pengelola toko ritel dalam mengoptimalkan tata letak barang secara lebih ilmiah dan data-driven
PREDIKSI EPIDEMIOLOGI PENYAKIT TIDAK MENULAR MENGGUNAKAN ALGORITMA RANDOM FOREST PADA PUSKESMAS
Authors: Saptawan Ferry , David  , Wijaya Tony , Kosasi Sandy , Margaretha Kuway Susanti
Published: January 2025

Puskesmas Sekura yang merupakan puskesmas rawat inap dan terletak di kabupaten sambas kecamatan sekura menghadapi tantangan dalam mengurangi angka penderita penyakit tidak menular. Penelitian ini bertujuan mengatasi masalah tersebut dengan menerapkan machine learning untuk proses klasifikasi penyakit berdasarkan data rekam medis. Algoritma yang digunakan pada penelitian kali ialah random forest. Metode yang digunakan adalah Design Science Research (DSR) dengan enam tahap: identifikasi masalah, tujuan solusi, perancangan, pengembangan, demonstrasi, evaluasi, dan komunikasi. Penelitian ini menghasilkan perangkat lunak berbasis web menggunakan framework CodeIgniter dan PHP untuk memudahkan proses prediksi. Dalam penelitian kali ini algoritma random forest dipastikan dapat melakukan prediksi penyakit tidak menular, namun untuk tingkat akurasinya masih sangat rendah. Puskesmas sekura harus menambahkan lebih banyak data pada sistem prediksi ini agar tingkat akurasi menjadi bertambah. Hasil akurasi 27.64% tergolong cukup rendah untuk dapat digunakan dalam prediksi, sistem masih harus dilatih dengan menambahkan dataset yang dibuat dari data rekam medis pasien. Puskesmas sekura masih belum dapat menggunakan sistem prediksi ini secara langsung kelapangan.
PERANCANGAN MOBILE WEB BENGKEL MOBIL MIZU PONTIANAK
Authors: Sofiani Sendy , David  , Kosasi Sandy , Gat  , Margaretha Kuwai Susanti
Published: January 2025

Merancang dan mengimplementasikan sistem informasi berbasis mobile web di Bengkel Mobil Mizu, yang berlokasi di Kubu Raya, menggunakan framework Laravel dan Bootstrap. Sistem ini dirancang untuk menggantikan proses manual yang selama ini digunakan dalam pengelolaan layanan, pemesanan, serta pengelolaan inventaris bengkel. Proses manual sering menyebabkan ketidakefisienan dan keterlambatan dalam memberikan layanan kepada pelanggan, sehingga diperlukan solusi digital yang dapat meningkatkan kualitas layanan. Metode yang digunakan dalam penelitian ini adalah Design Science Research (DSR), yang terdiri dari enam tahap, mulai dari identifikasi masalah hingga evaluasi dan demonstrasi sistem. Pengembangan sistem menggunakan metode Extreme Programming (XP) untuk mempercepat proses pengembangan melalui iterasi pendek. Sistem yang dikembangkan diuji menggunakan metode White Box Testing untuk memastikan bahwa semua jalur dalam sistem berfungsi dengan baik. Hasil evaluasi menunjukkan bahwa penerapan mobile web ini berhasil meningkatkan efisiensi operasional bengkel, mengurangi kesalahan pencatatan, dan mempermudah pelanggan dalam mengakses layanan bengkel secara online. Dengan demikian, sistem ini diharapkan dapat memberikan solusi yang efektif untuk memenuhi kebutuhan pelanggan dan mendukung pertumbuhan bisnis Bengkel Mobil Mizu.
PENERAPAN ARSITEKTUR MODEL VIEW CONTROLLER PADA APLIKASI RESERVASI PENGINAPAN BERBASIS WEB (STUDI KASUS: PENGINAPAN PANTAI UMA WANAU PRIVATE BEACH)
Authors: Pantow Yehuda , Hatidja Djoni , A. J. Soewoeh Christian , Ketaren Eliasta
Published: January 2025

Pantai Uma Wanau Private Beach merupakan destinasi wisata yang terletak di Desa Makalisung, Kecamatan Kombi, Kabupaten Minahasa. Pantai Uma Wanau menyediakan beberapa fasilitas yang dapat dinikmati salah satunya adalah kamar penginapan bagi pelanggan atau tamu yang ingin menginap. Namun, terdapat masalah yang dihadapi oleh pihak pengelola yaitu pelayanan reservasi kamar yang masih dilakukan secara konvensional. Tujuan dari penelitian ini adalah untuk merancang dan membangun sebuah aplikasi reservasi penginapan berbasis web dengan menerapkan arsitektur MVC, sehingga diharapkan dapat meningkatkan efisiensi pengelolaan reservasi penginapan bagi pihak pengelola Pantai Uma Wanau Private Beach. Sistem ini dikembangkan metode pengembangan Rapid Application Development (RAD) menggunakan framework Laravel. Hasil pengujian menunjukkan bahwa aplikasi ini dapat berjalan dengan baik dan memenuhi kebutuhan fungsional yang diharapkan, sehingga berdasarkan hasil tersebut dapat disimpulkan penerapan arsitektur MVC dengan metode pengembangan RAD dapat menghasilkan aplikasi reservasi yang dapat meningkatkan efisiensi pengelolaan data reservasi bagi pihak pengelola Pantai Uma Wanau Private Beach.
İmmitansmetrik Değerlendirmeler
Authors:   İstanbul Üniversitesi-Cerrahpaşa, Sağlık Bilimleri Fakültesi, Odyoloji Bölümü, İstanbul, Türkiye, Karaman Ebru , Oruç Yeşim ,   İstanbul Üniversitesi-Cerrahpaşa, Sağlık Bilimleri Fakültesi, Odyoloji Bölümü, İstanbul, Türkiye
Published: January 2025

Akustik immitansmetri, odyolojik değerlendirmede en sık kullanılan objektif ve non-invaziv test
yöntemlerinden biridir. Uygun şartlarda ve doğru şekilde yapıldığında güvenilir ve hızlı sonuç
veren odyolojik bir test bataryasıdır. Kulak zarının (timpanik membran) hareketliliği, orta kulak
boşluğu içindeki hava basıncı, akustik refleks varlığı, östaki fonksiyon testi, rezonans frekansı
gibi orta kulak fonksiyonunun değerlendirilmesinde kullanılmaktadır. Kulak zarına ve orta kulağa
yönelik değerlendirmelerin yapılmasıyla işitme kaybının tipini belirlemede rol oynar. Ayrıca periferik işitme sisteminin yanında akustik refleks incelemeleri ile santral işitsel yolların beyinsapı
düzeyinde değerlendirilmesine olanak tanır. Bu bölüm içerisinde immitansmetrik incelemeler
içerisinde yer alan testler, fizyolojik mekanizmaya dair bilgiler, testlerin uygulanması ve yorumlanması hakkında bilgiler yer almaktadır.
İşitsel İşlemleme Bozuklukları ve Değerlendirilmesi
Authors:   İstanbul Üniversitesi-Cerrahpaşa, Cerrahpaşa Tıp Fakültesi, Odyoloji Bölümü, Kulak Burun Boğaz Ana Bilim Dalı, İstanbul, Türkiye, Çetin Kara Halide , Yerlikaya Aysel Bengi ,   İstanbul Üniversitesi-Cerrahpaşa, Cerrahpaşa Tıp Fakültesi, Odyoloji Bölümü, Kulak Burun Boğaz Ana Bilim Dalı, İstanbul, Türkiye
Published: January 2025

Bu bölümde Santral İşitsel Sistem (SİS) ve Santral İşitsel İşlemleme Bozukluğu (SİİB) ile ilgili
literatür bilgileri referans alınarak SİİB ve yaklaşımları hakkında bir bakış açısı sağlamak amaçlanmıştır. SİS, koklear nukleuslardan başlayarak primer işitsel kortekse kadar uzanan ve işitsel
bilgiyi beyinsapından üst merkezlere ileten karmaşık bir nöral yapıdır. İşitsel işlemleme, sesin yer
ve yön tespiti, işitsel ayırt etme, işitsel patern tanıma, ve işitsel temporal işlemlemeyi becerilerinde temel rol oynamaktadır. Bu işlevler, konuşmayı algılama, müzik dinleme ve çevresel sesleri tanıma gibi günlük yaşam aktiviteleri için kritiktir. SİİB, bu sistemdeki bozuklukları tanımlar
ve özellikle dinleme becerileri ile konuşma algısında sorunlara yol açmaktadır. SİİB'nin etkileri
arasında seslerin yönünü belirlemede, işitsel ayırt etmede ve konuşma paternlerini tanımada
zorluklar bulunmaktadır. Ayrıca, dinleme sırasında dikkat ve konsantrasyon eksiklikleri, anlama güçlükleri ve hafıza sorunları da yaygın olarak gözlenmektedir. SİİB’nin değerlendirmesinde
davranışsal ve elektrofizyolojik testler kullanılmaktadır. SİİB’de işitsel rehabilitasyon, çevresel
düzenlemeler, işitsel eğitim ve dinleme stratejilerine odaklanmaktadır. Çevresel düzenlemeler
arasında arka plan gürültüsünü azaltma ve oturma düzenini ayarlama yer alırken, işitsel eğitim
nöroplastisiteyi hedef almakta ve işitsel performansı artırmayı amaçlamaktadır. Eğitim yöntemleri arasında dil becerilerini geliştirici çalışmalar, işitsel hafıza egzersizleri ve işitsel entegrasyon
çalışmaları bulunmaktadır. Dinleme ortamlarında FM sistemleri gibi dinlemeye yardımcı cihazların kullanımı da sinyal netliğini artırmada yardımcı olmaktadır
PSICANÁLISE E EDUCAÇÃO: DESENVOLVIMENTO INTEGRAL NA RELAÇÃO ALUNO-PROFESSOR
Authors: Beserra Anderson Alves , Coutinho Diógenes José Gusmão
Published: January 2025

Este artigo realiza uma análise psicanalítica aprofundada da relação aluno-professor, destacando a importância dos conceitos de transferência e das estruturas psíquicas para as práticas pedagógicas. A pesquisa, baseada em revisão bibliográfica, examina como o Id, Ego e Superego influenciam o comportamento e as interações dos alunos no ambiente escolar, tornando a transferência um fenômeno central. Neste processo, os alunos projetam emoções inconscientes nos professores, e a contratransferência reflete as reações emocionais dos educadores. Compreender essas dinâmicas permite que os professores ajustem suas abordagens pedagógicas, promovendo um ambiente de aprendizagem mais inclusivo e equilibrado. A análise sugere que a formação docente em conceitos psicanalíticos é uma ferramenta essencial para apoiar o desenvolvimento emocional e cognitivo dos alunos, contribuindo para práticas educativas mais saudáveis e adaptadas às necessidades psíquicas dos estudantes​.
Measurement report: Exploring the variations in ambient BTEX in urban Europe and their environmental health implications
Authors: Liu Xiansheng , Zhang Xun , Dufresne Marvin , Wang Tao , Wu Lijie , Lara Rosa , Seco Roger , Monge Marta , Yáñez-Serrano Ana Maria , Gohy Marie , Petit Paul , Chevalier Audrey , Vagnot Marie-Pierre , Fortier Yann , Baudic Alexia , Ghersi Véronique , Gille Grégory , Lanzi Ludovic , Gros Valérie , Simon Leïla , Héllen Heidi , Reimann Stefan , Le Bras Zoé , Müller Michelle Jessy , Beddows David , Hou Siqi , Shi Zongbo , Harrison Roy M. , Bloss William , Dernie James , Sauvage Stéphane , Hopke Philip K. , Duan Xiaoli , An Taicheng , Lewis Alastair C. , Hopkins James R. , Liakakou Eleni , Mihalopoulos Nikolaos , Zhang Xiaohu , Alastuey Andrés , Querol Xavier , Salameh Thérèse
Published: January 2025

Abstract. BTEX (benzene, toluene, ethylbenzene, and m-xylene,p-xylene, and o-xylene) are significant urban air pollutants. This study examines BTEX variability across 7 European countries using data from 22 monitoring sites in different urban settings (urban background, traffic, industry, and suburban background). Results indicate that the relative abundance of BTEX in urban areas follows the order toluene > benzene > m,p-xylene > o-xylene > ethylbenzene, with median mixing ratios of 266 ± 152, 163 ± 74, 129 ± 88, 53 ± 35, and 45 ± 27 ppt during the years 2017–2022, respectively. Seasonal trends show benzene had similar median concentrations across urban background, traffic, and industrial sites, indicating mixed sources. Toluene levels were highest in traffic and industrial areas, highlighting road traffic and industrial emissions. Ethylbenzene and xylenes showed equivalent levels in traffic and industrial areas but were lower in urban backgrounds. Peak BTEX levels occurred during morning and evening rush hours, linked to traffic, heating, and atmospheric stagnation. B/T ratios ranged from 0.29 ± 0.11 to 1.35 ± 0.95, and X/E ratios ranged from 1.75 ± 0.91 to 3.68 ± 0.30, indicating primary pollution from local traffic, followed by solvents, coatings, and biomass burning. Lifetime cancer risk from BTEX exposure was below the definite risk threshold (10−4) but above the permissible risk level (10−6), suggesting moderate risk from benzene and ethylbenzene, particularly in traffic and industrial areas. Additionally, the health index of BTEX at monitoring sites was generally lower than the threshold limit value, suggesting a low non-carcinogenic risk overall. This study offers essential insights into BTEX pollution in urban European environments.
Revisiting ice-marginal positions north-east of Feldberg, southern Black Forest, south-west Germany
Authors: Hofmann Felix Martin , Preusser Frank
Published: January 2025

Abstract. Whilst previous work has successfully reconstructed the evolution of temperatures in the region north of the Alps during the final phase of the Late Pleistocene, precipitation patterns still remain largely unknown. Recent studies have shown that reconstructing former glaciers in the mid-elevation mountain ranges in central Europe, calculating equilibrium line altitudes (ELAs), and using of empirical relationships between summer temperature and precipitation at the ELAs of modern glaciers could be a promising avenue to fill this gap. Since non-climatic factors probably had only a minor influence on glacier dynamics, the numerous ice-marginal landforms north-east of the highest summit of the Black Forest, Feldberg (1493 m a.s.l. (metres above sea level)), represent prime candidates for climate reconstruction. Since detailed geomorphological and chronological investigations must precede such a study, this work aims to re-examine these landforms with the aid of high-resolution remote sensing data and field mapping. This study allowed for the mapping of glacial landforms in unprecedented detail and for the selection of targets for future dating studies. The re-examination of the glacial record north-east of Feldberg largely confirmed existing studies, and only a few previously mapped ice-marginal landforms must be rejected. At the same time, however, this study identified numerous landforms at former ice-marginal positions that have not yet been described in the literature. These results underline once again that dating studies should always be based on detailed geomorphological mapping. Red-relief image maps (RRIMs) derived from digital elevation models (DEMs) proved to be an extremely helpful visualisation method for the identification of ice-marginal landforms. We therefore advocate for the more frequent use of these maps in glacio-geomorphological studies. Determination of the age of glacial landforms with the aid of cosmic-ray exposure (CRE) dating and luminescence methods will allow for the establishment of an integrated regional stratigraphical model. Once the stratigraphy is constructed, glacier, ELA, and precipitation reconstruction can be undertaken.
Synthesis of surface snowfall rates and radar-observed storm structures in 10+ years of Northeast US winter storms
Authors: Tomkins Laura M. , Yuter Sandra E. , Miller Matthew A. , Oue Mariko , Helms Charles N.
Published: January 2025

Abstract. Winter storms can cause significant societal impacts in the densely-populated regions of the Northeast United States. Mesoscale snow bands embedded within winter storms are often the main focus of snowfall forecasts and analyses. This study investigates the relationship between observed surface snowfall rates and local enhancements in radar reflectivity (i.e. mesoscale snow bands) using data from 264 storm days over 11 winter seasons (2012–2023). We compare hourly surface snowfall rates obtained by ASOS weather stations with the area × time fractions of locally-enhanced reflectivity features and of all echo passing over the 25 km radius vicinity of the surface observation. Our analysis focuses on non-orographic snow storms with surface winds < 5 m s−1. Our findings show that most of the time snow rates are low (75 % of hours had liquid equivalent snow rates less than 1 mm hr−1). Heavy snow rates (> 2.5 mm hr−1 liquid equivalent) are rare (< 4 % of observations). When enhanced reflectivity features pass over a location, only 1 out of 4 hours have heavy surface snow rates. High spatial resolution vertical cross sections from airborne radar obtained during the NASA IMPACTS field campaign and rapid update RHIs from ground-based radar demonstrate that enhanced reflectivity features in snow aloft usually lack the vertical column continuity characteristic of reflectivity structures in rain. Ice streamers with higher reflectivities are tilted and smeared on their way to the surface as their constituent snow particles are dispersed laterally by the horizontal winds within the storm.
A reliable analytical procedure to determine the carbon isotopic signature of CO2-bearing COH fluids generated in petrological experiments
Authors: Toffolo Luca , Minopoli Luca , Ferrari Elena , Tumiati Simone
Published: January 2025

Abstract. The ratio of stable carbon isotopes, δ13C, serves as a fundamental tracer for geological processes. Experiments aiming to replicate isotopic exchange between carbon reservoirs encounter significant analytical challenges due to the limited sample size and issues related to sampling, particularly when dealing with volatile species. Here we present a novel methodology that integrates a capsule-piercing device, a quadrupole mass spectrometer (QMS), and isotopic ratio mass spectrometry (IRMS) to measure the CO2 concentration and natural-like δ13C ratio of CO2 in the volatile COH phase generated in petrological experiments. To validate the technique, we first analyze the COH fluid resulting from the thermal decomposition of 1 mg of anhydrous oxalic acid. The optimal values of the carrier gas flow in the QMS, sampling times, and chromatography column temperature for IRMS are determined. The high degree of similarity, within acceptable errors, observed in both compositional and isotopic analyses indicates a robust reproducibility, minimally affected by contamination and fractionation effects during sampling. We also show that this methodology can be applied for estimating the δ13C of CO2 produced from high-pressure, high-temperature, redox-buffered piston–cylinder experiments. This offers a multitude of opportunities in designing experiments focused on determining isotopic fractionation models for geological processes that involve, but are not restricted to, CO2-bearing COH fluids.
Clustering simulated snow profiles to form avalanche forecast regions
Authors: Horton Simon , Herla Florian , Haegeli Pascal
Published: January 2025

Abstract. This study presents a statistical clustering method that allows avalanche forecasters to explore patterns in simulated snow profiles. The method uses fuzzy analysis clustering to group small regions into larger forecast regions by considering snow profile characteristics, spatial arrangements, and temporal trends. We developed the method, tuned parameters, and present clustering results using operational snowpack model data and human hazard assessments from the Columbia Mountains of western Canada during the 2022–2023 and 2023–2024 seasons. The clustering results from simulated snow profiles closely matched actual forecast regions, effectively partitioning areas based on major patterns in avalanche hazard, such as varying danger ratings or avalanche problem types. By leveraging the uncertain predictions of fuzzy analysis clustering, this method can provide avalanche forecasters with a practical approach to interpreting complex snowpack model output and identifying regions of uncertainty. We provide practical and technical considerations to help integrate these methods into operational forecasting practices.
The Role of E-Service Quality and Brand Image on Purchase Intention of Smartphone Products
Authors: Utomo Sulistyo Budi , Setiadi Bekti , Astuti Enny Diah , Wahyuningratna Ratu Nadya , Hendra Hendra , Nusyirwan Nusyirwan
Published: January 2025

The smartphone industry has witnessed remarkable growth over the past decade, becoming one of the most dynamic and competitive markets globally. With technological advancements and increasing internet penetration, consumers increasingly rely on e-commerce platforms to purchase smartphones. Consequently, the quality of e-services provided by companies has emerged as a critical determinant of consumer purchase behaviour. Simultaneously, brand image remains a key factor influencing consumer preferences and loyalty. This study investigates the impact of e-service quality and brand image on consumers' purchase intentions for smartphone products. In an era where online shopping has become a dominant trend, understanding how these factors influence consumer behaviour is crucial for businesses seeking a competitive edge. Data for this research was collected from 100 respondents using structured questionnaires, and multiple regression analysis was employed to assess the relationships between the variables. The findings reveal that e-service quality and brand image significantly positively affect purchase intention. High-quality e-services, characterized by website functionality, responsiveness, and security, enhance consumer trust and encourage purchasing decisions. Simultaneously, a strong brand image fosters consumer loyalty and preference, further amplifying purchase intention. Moreover, the interplay between e-service quality and brand image shows a synergistic effect, where combining both factors results in even higher purchase intention. This research underscores the importance of seamless online experiences and robust branding strategies for companies operating in the smartphone market. Practical implications include businesses needing to continually improve their e-service platforms by investing in user-friendly designs, efficient customer service, and secure transaction systems. Maintaining a consistent and appealing brand image through targeted marketing and corporate social responsibility initiatives is critical. These efforts attract new customers and retain existing ones, driving long-term success in the competitive landscape of smartphone products. By addressing both e-service quality and brand image, companies can effectively influence consumer behaviour, enhance satisfaction, and foster brand loyalty.
Application of Multiple Linear Regression Method for Predicting Fish Production Based on Cultivation Type
Authors: Limbong Hendra Putranta , Abdullah Dahlan , Anshari Said Fadlan
Published: January 2025

One of the contributors to Indonesia's economy is the fisheries sector, which has a high potential for development. Fisheries are a highly promising subsector for development in Indonesia's growth efforts. Based on data from the Central Bureau of Statistics of Dairi Regency, three types of aquacultures remain actively utilized in each subdistrict: ponds/freshwater ponds and paddy fields. This research aims to develop a fish production prediction system based on aquaculture types using the Multiple Linear Regression method. The accuracy of the prediction results will be measured using the Mean Absolute Percentage Error (MAPE). The results of this study indicate that in almost every subdistrict, especially pond aquaculture, the MAPE value is 20%, which means it has good accuracy. However, exceptions are found in the Siempat Nempu Hulu subdistrict, which has a MAPE value of 34.29%, and the Silahisabungan subdistrict, which has a MAPE value of 43.78%. Despite these values, they are still categorized as sufficient since they are 50%. The lower the MAPE value, the more accurate the prediction results. The findings of this research show that the multiple linear regression method can be considered correct. For future predictions, some results show negative values. For instance, in Silimapunggapungga subdistrict, a decline in production is predicted for 2024 with -114.779 tons and 2025 with -134.316 tons. The pessimistic prediction results are caused by the decrease in the X2 variable (area size), leading to a minor Y (production) value, potentially becoming negative if the contribution of X2 is no longer sufficient to balance the values of X1 (b1) and a. On the other hand, the Lae Parira subdistrict is predicted to experience an increase in production in 2024 by 87.024 tons and in 2025 by 84.380 tons. This system is implemented using the Python programming language. It is expected to help relevant stakeholders understand production trends and enhance the efficiency of fisheries resource management in the Dairi Regency.