bluuebunny/crossref_metadata_2025 huggingface dataset:
Sosialisasi Pemanfaatan Tanaman Obat Keluarga Bagi Masyarakat
Authors: Widayati Sri , Marliyah Lili
Published: February 2024

Tanaman obat tradisional sering disebut dengan tanaman obat keluarga (TOGA) yang biasanya ditanam oleh keluarga seperti di kebun, di halaman rumah  dengan berbagai jenis tumbuhan yang berkhasiat dan digunakan sebagai kebutuhan pengobatan keluarga. Tumbuhan ini biasanya digunakan sebagai pengobatan untuk pertolongan pertama, seperti batuk, demam, sakit perut, kanker, rematik, gatal, jenis tanaman yang sering ditanam di kebun dan halaman adalah temulawak, kunyit, kencur, sirih sambiloto, jahe, sere, laos, kembang sepatu, dan sebagainya. Tumbuhan obat tradisional juga tidak hanya sengaja ditanam masyarakat namun juga sering kali hanya tumbuh liar disekitar rumah atau jalan-jalan. Olahan digunakan masyarakat dalam mengonsumsi tumbuhan adalah jamu. Pengabdian Pada Masyarakat ini bertujuan untuk memberikan motivasi masyarakat setempat agar mau mengembangkan  usaha menanam tanaman obat keluarga sebagai upaya menambah pendapatan keluarga dan upaya membantu ibu-ibu membuat kreasi yang unik, membantu memberikan informasi yang diperlukan berkaitan dengan cara pemasaran tanaman keluarga yang sangat bermanfaat bagi masyarakat, kegiatan  pengabdian kepada masyarakat ini dilaksanakan di Kelurahan Pati Kidul, Kecamatan Pati Kabupaten Pati.
Pelatihan Desain Grafis Anggota HIMPAUDI Kota Semarang Menggunakan Aplikasi Canva
Authors: Furi Atika Zahra , Dewi Widya Novi Angga , Pratama Afis , Sudomo Irlanto
Published: February 2024

Salah satu dampak dari pandemi Covid 19 dalam pendidikan saat ini yang muncul pada pendidikan dini adalah membiasakan anak untuk belajar menggunakan media, yang biasanya selalu tatap muka bersama dengan guru, berinteraksi secara langsung, saat ini dibiasakan dengan memanfaatkan teknologi. Tim Pengabdian Masyarakat Universitas Ivet akan memberikan pelatihan kepada guru-guru anggota Himpaudi kecamatan Gajahmungkur kota Semarang agar nantinya biasa membuat atau mengembangkan aplikasi sendiri dengan mudah, murah dan sesuai keinginan sendiri sesuai kurikulum yang baru. Dengan menggunakan media pembelajaran audio visual berbasis aplikasi Canva ini bukan saja dapat mempermudah dan mengefektifkan proses pembelajaran, tetapi juga bisa membuat proses pembelajaran lebih menarik. Untuk melaksanakan kegiatan tersebut digunakan beberapa metode pelatihan, yaitu: 1. metode ceramah dan tanya jawab, digunakan pada waktu menyampaikan materi kegiatan; 2. metode demonstrasi dan latihan praktek, digunakan dengan mengaplikasikan Canva; 3. metode penugasan, semua peserta untuk membuat media pembelajaran dengan menggunakan aplikasi Canva siap diimplementasikan di era new normal ini. Kegiatan pengabdian kepada masyarakat dapat berjalan dengan baik dan memperoleh respon/tanggapan yang positif dari peserta pelatihan. Kegiatan ini dihadiri oleh 10 peserta yang merupakan anggota HIMPAUDI Kecamatan Gajah Mungkur Kota Semarang.
Gizi Seimbang Wujud Mencapai Generasi Emas Berkarakter dan Berbudaya
Authors: Winarni Dyah Setyaningrum , Nugraheni Diah , Khasanah Khasanah , Slamet Slamet
Published: February 2024

Pandemi Covid 19 memberikan dampak yang signifikan bagi masyarakat Indonesia secara menyeluruh. Dampak yang signifikan yang muncul adalah banyaknya anak yang mengalami gizi buruk. Dengan era baru ini perlu adanya upaya untuk memperbaiki gizi anak salah satunya dengan sosialisasi gizi kepada orang tua, serta alternatif pangan sebagai upaya untuk mencukupi gizi anak. Gizi yang terpenuhi atau seimbang berdampak pada meningkatnya kemampuan kognitif dan aktivitas yang dilakukan anak. Tujuan pengabdian ini memberikan informasi tentang alternatif pangan untuk memenuhi gizi dan pola pembelajaran anak untuk membentuk anak berkarakter dan berbudaya. Metode yang dilakukan adalah dengan sosialisasi secara simultan selama 6 bulan dalam kegiatan posyandu. Hasil pengabdian orang tua lebih spesifik berkonsultasi mengenai perkembangan anaknya terutama berkaitan dengan alternatif pangan untuk mencukupi gizi anak. Gizi anak yang terpenuhi mampu meningkatkan kemampuan kognitif dan membantu mempermudah proses adaptasi dalam membentuk karakter anak sehingga lebih berkarakter dan berbudaya sesuai dengan budaya yang ada di lingkungannya.
PROPOLİS EKSTRAKSİYONUNDA UYGULANAN YEŞİL VE YENİLİKÇİ YÖNTEMLER
Authors: Çakır Büşra , Yılmaz Şeyma Meryem , Güzel Nihal
Published: February 2024

Propolis, bal arılarının topladıkları bitki nektar, polen ve reçinemsi maddeleri enzimlerle işleyerek oluşturdukları doğal bir üründür. Propolis gıda, sağlık ve kimya gibi birçok farklı sektörde çok fonksiyonlu şekilde kullanılan biyoaktif içeriğince zengin bir maddedir. Ancak ham propolisin suda az çözünen reçinemsi yapısı nedeniyle apolar özellikteki kısımdan biyoaktif kısmın ayrılması oldukça zordur. Bu nedenle propolis ham haliyle tüketilememektedir. Flavonoid ve fenolik asitlerce zengin 300’e yakın bileşen içeren propolisin kimyasal bileşimi iklim, bitki örtüsü ve mevsime göre çeşitlilik göstermektedir. Kimyasal bileşimdeki bu çeşitlilik, propolisin ektraksiyonu için geliştirilen yöntemlerin de çeşitlenmesine neden olmuştur. Günümüzde bu amaçla geliştirilen yöntemler arasında en çok çevre dostu ve geri dönüşüm olanağı sağlayan ekstraksiyon yöntemleri dikkat çekmektedir. Bu derlemede propolis ekstraksiyonunda kullanılan hem geleneksel hem de yenilikçi yöntemler özellikle ekstraksiyon etkiniliği açısından değerlendirilmiştir. Propolis ekstraksiyonunda kullanılan yenilikçi yöntemler değerlendirildiğinde, ultrases destekli ekstraksiyon ve yeşil çözücü ekstraksiyonu yöntemlerinin yüksek ekstraksiyon etkinliği, sürdürülebilirlik ve düşük operasyon maliyeti açısından dikkat çektiği görülmektedir.
WORKSHOP BIMBINGAN DAN KONSELING KELOMPOK BERBASIS PERMAINAN TRADISIONAL BANJAR PADA MGBK SMA DI KOTA BANJARMASIN
Authors: Heiriyah Ainun , Prasetia Muhammad Eka , Farial Farial , Prayoga Hegen Dadang
Published: February 2024

Setiap Permainan tradisional dapat dijadikan sebuah inovasi dalam layanan bimbingan dan konseling. Permainan tradisional dapat dikolaborasikan dengan layanan bimbingan dan konseling sehingga menjadi sebuah teknik atau metode di dalam pelaksanaan layanan layanan bimbingan dan konseling kelompok. Untuk mewujudkan ini tentu harus ada kreativitas guru BK dalam melakukan inovasi terhadap layanan bimbingan dan konseling yang akan diselenggarakan di sekolah. Berdasarkan fenomena yang terjadi di lapangan menunjukkan bahwa guru BK SMA di Kota Banjarmasin masih memerlukan wawasanan ilmu pengetahuan, kreativitas/ inovasi dalam layanan BK dan  keterampilan dalam pelaksanaan layanan bimbingan dan konseling di sekolah. Khususnya pada pelaksanaan layanan bimbingan dan konseling kelompok di sekolah. Permasalahan mitra yang menjadi prioritas utama adalah dirinci sebagai berikut: (1) Terdapat guru BK yang kurang memiliki kreativitas dalam mengembangkan inovasi dalam  layanan  bimbingan dan konseling kelompok di sekolah; dan (2) Terdapat guru BK yang belum mengetahui tahapan dalam pelaksanaan layanan bimbingan dan konseling kelompok berbasis permainan tradisional banjar. Dari fenomena permasalahan dan alternatif solusi, maka pelaksana memilih prioritas solusi diantaranya ialah: (1) Memberikan bantuan kepada guru BK berupa kreativitas dan inovasi konselor sekolah professional dalam melaksanakan layanan bimbingan dan konseling kelompok di sekolah; dan (2) Memberikan bantuan kepada guru BK berupa pelatihan bimbingan dan konseling kelompok berbasis permainan tradisional banjar. Metode pelaksanaan menggunakan metode: (1) ceramah; (2) pelatihan; dan (3) evaluasi. Khalayak sasaran berjumlah 32 orang guru BK yang menghadiri kegiatan PKM.Hasil kegiatam PKM dari analisis data pre test evaluasi awal kegiatan, maka dapat di klasifikasikan bahwa kreativitas guru BK di SMA Kota Banjarmasin tergolong dalam kategori Rendah (2,92) dan hasil kegiatan PKM dari analisis data post test kegiatan pengabdian masyarakat ini menjadi meningkat dengan kategori Tinggi (7,45). Hal ini tentunya merupakan hal yang baik, setelah diberikannya kegiatan workshop sehingga dapat meningkatkan kreativitas guru BK dalam inovasi layanan BK di sekolah.Kata kunci: Bimbingan, konseling, permainan tradisional banjar
DIVERSIFIKASI IKAN DENGAN MESIN PENGASAPAN OTOMATIS DI KALI BESAR KECAMATAN KURAU
Authors: Faridha Moethia , Sarwini Sarwini , Irfan Irfan , Amin Ahmadil , Mu'ammar Rais , Karim Saiful , Firman Muhammad , Aminuddin Muhammad
Published: February 2024

Desa Kali Besar  adalah salah satu Desa  di Kecamatan Kurau yang ada di Kabuaten Tanah Laut. Desa Kali Besar memiliki dengan topografi permukaan tanah tergolong rendah, dimana batas wilayah sebelah barat berbatasan dengan Desa Handil Nagara, sebelah utara berbatasan dengan desa Birayang Bawah, dan sebelah barat berbatasan dengan desa Kayu Abang.Desa Kali besar tergolongan daerah yang memiliki potensi ekonomi yang terbatas, mayoritas masyarakatnya bekerja di bidang pencari ikan dan bertani yang sifatnya instan dan menunggu bisa tahunan belum lagi jika terjadi serangan hama yang menyebabkan mareka gagal panen untuk pertani, sehingga biasanya masyarakat yang ingin mendapatkan penghasilan tambahan bekerja keluar daerah. selain itu sumber daya manusia yang dimiliki desa Kali Besar menjadi poin penting dalam perkembangan dan kemajuan desa Kali Besar. Melimpahnya hasil perikanan di Desa Kali Besar membuat masyarakat mengawetkan ikan dengan membuatnya menjadi pakasam dan samu (ikan air tawar yang diawetkan dengan menggunakan garam dan beras ketan yang sudah disangrai dengan rasa sedikit asam) kemudian dikemas dengan baik sehingga layak untuk dipasarkan. dan potensi ikan air tawar yang dimiliki Desa Kali Besar tersebut yang sudah dikemas dengan diversifikasi / keaneka ragaman produk menjadi pakasam dan samu, maka diperlukan diversifikasi dengan bentuk yang lain dan dapat meningkatkan penghasilan tambahan dari  diversifikasi / keaneka ragaman produk yaitu ikan asap, suatu proses dimana ikan dimasukan kedalam suatu oven yang sudah diatur suhunya dan waktu untuk pengasapan ikan agar ikan lebih tahan lama dan menambah cita rasa pada ikan dengan penambahan garam pada ikan yang diasapkan.Kata Kunci :  Pencari ikan, Ikan asap, alat pengasap ikan, otomatis
PENDAMPINGAN PEMBERDAYAAN MASYARAKAT KELOMPOK WIRAUSAHA PEMULA DI PESANTREN AL HIKMAH BANJARMASIN
Authors: Basuki Basuki , Vitria Aida , Widyanti Rahmi , Khuzaini Khuzani
Published: February 2024

Every business that is run both small and large aims to make a profit. To find out the extent of the benefits derived from the business / business that is run requires careful recording. The recording of both business expenses and income must be done carefully so that the analysis and calculation of profit and loss of the business carried out with results that reflect the business potential. Pesantren Al Hikmah sub-district is located in Banjarmasin City, an agricultural area, where most of the population (57%) live in rice fields and most (53%) of them (families) depend their livelihoods / livelihoods from the sea as traditional farmers. So far, there has been an outreach and counseling about designing small businesses by a group of mothers, but it has not provided adequate results. This is due to not doing a good business analysis. Through community service activities it seeks to provide knowledge about how to analyze or calculate the price of a product so that it can benefit the producers.Kata kunci : Business Analysis, Homemade Industry
Program ZITASI Generasi Z melalui Aplikasi Fatsecret pada Siswa SMA Sebagai Agen Perubahan di Daerah Aliran Sungai Sabangau
Authors: Ulfa Zuly Daima , Perdana Jeff Agung , Abeng Andi Tenri
Published: February 2024

Siswa SMA sebagai remaja memiliki sifat akrab dengan teknologi justru mengalami dampak negatif dari teknologi yaitu kurangnya aktivitas fisik serta pemenuhan kebutuhan gizi dan istirahat, sementara mereka memiliki peran sebagai agen perubahan. Metode pemecahan dilakukan melalui program ZITASI Generasi Z melalui Aplikasi Fatsecret pada Siswa SMA sebagai Agen Perubahan di Daerah Aliran Sungai (DAS) Sabangau. Program ini memberikan edukasi tentang perilaku hidup sehat dan memanfaatkan aplikasi fatsecret kemudian mengajak peserta untuk menyebarluaskan praktik baiknya. Aplikasi tersebut digunakan untuk mencatat dan memantau capaian perilaku hidup sehat yang telah dilakukan. Program dilakukan di SMA Negeri 8 Palangka Raya, dimulai dari edukasi, pendampingan dan evaluasi. Pendampingan dilakukan dalam rangka penerapan perilaku hidup sehat melalui program ZITASI dilanjutkan dengan peran remaja sebagai agen perubahan. Hasil pengabdian peserta mengalami peningkatan pengetahuan tentang perilaku hidup sehat sebesar 15,8 dan penerapan perilaku hidup sehat sebesar 4.2. Peran remaja sebagai agen perubahan dilakukan dengan menceritakan pengalaman mereka kepada teman dan orang di sekitar dan melalui media sosial. Pemanfaatan media sosial hanya sebagian oleh peserta karena keterbatasan kepemilikan gawai dan kualitas koneksi internet di lokasi.Kata kunci: Aktivitas Fisik; Gizi; Remaja
Securing Identity via History
Authors: Jairam Pradyumna
Published: February 2024

This article analyzes how the Bharatiya Janata Party crafts a narrative of history in line with its ideology of Hindutva by decontextualizing and omitting information. Using school history textbooks prescribed by its state government in Rajasthan from 2013 to 2018, it uncovers how historical events and personalities are reinterpreted to craft a master narrative of belonging and exclusion. It examines how figures such as the Mauryan emperor Ashoka and the twentieth-century Dalit political leader Bhimrao Ramji Ambedkar are “Hinduized” in order to ensure their appropriation into the Hindutva narrative. Further, looking at the 1576 Battle of Haldighati it assesses how antagonistic identities of the “local hero” and “external villain” are created by evoking the religious homogenization of communities and ignoring contradictions. This ensures that belonging to and the defence of the “Indian” nation is a privilege of the unified “Hindu” community, which fights “Muslim” aggression.
Bildung als Institution und die Bildungsmedien der Gesellschaft
Authors: Otto Marcus
Published: February 2024

This article addresses the connection between education, educational media and memory, taking as a starting point the (from a social-theoretical perspective) elementary and inherent recursiveness of all communication. To this end, it reconstructs, from a systems theory-inspired perspective, the social framing of textbooks and educational media as well as the specific role of memory in education. The latter is perceived as a social institution to which various functions are attributed. These include (canonical) knowledge transmission, social selection as part of the reproduction and legitimation of social order and (cultural) integration via the transmission and practice of norms and values. Finally, the author discusses to what extent education and school educational media can therefore be understood as a constitutive, institutionalized “memory of society”.

Der Beitrag widmet sich einer sozial- und gesellschaftstheoretischen Vermessung und Verankerung von Schulbüchern und schulischen Bildungsmedien im Rahmen der gesellschaftlichen Institution der Bildung. Dazu exploriert er zunächst sozialtheoretisch schulische Bildungsmedien und die gesellschaftliche Institution schulischer Bildung anhand der elementaren Begriffe Wissen, Kommunikation und Gedächtnis. Daran anschließend exploriert der Beitrag Schulbücher und schulische Bildungsmedien aus der Perspektive systemtheoretischer Gesellschaftstheorie. Schließlich fragt der Beitrag, inwiefern schulische Bildung und Bildungsmedien daher auch als institutionalisiertes „Gedächtnis der Gesellschaft“ begriffen werden können.
Nitel Tercih Modellerine Dayalı Ampirik Bir Analiz: Türkiye'deki Bireylerin Mutluluk Düzeylerinin Belirleyicileri
Authors: Çebi Karaaslan Kübranur , Çalmaşur Gürkan
Published: February 2024

Mutlu bireylerle mutlu toplumlar oluşturmak mümkündür. Bu noktadan hareketle, bireylerin mutluluk düzeylerini etkileyen faktörlerin neler olduğunu tespit etmek ve onları daha mutlu kılmak için neler yapılabilir sorusuna aranılan cevap, bu çalışmanın motivasyon kaynağını oluşturmaktadır. Çalışmanın veri seti Türkiye İstatistik Kurumu aracılığıyla elde edilmiştir. Çalışma sonucunda, sosyodemografik, ekonomik, bireysel ve çevresel göstergelerin bireylerin mutluluk düzeyleri üzerinde etkili olduğu tespit edilmiştir. Çalışma aracılığıyla, politika yapıcı ve karar vericilere, bireylerin mutluluk düzeyini arttırmaya yönelik öneriler sunulmuştur.
COVID-19 Salgınında Türkiye’de Stres, Yalnızlık ve Önlemlere Uyum: COVIDiSTRESS Küresel Çalışması Bulguları
Authors: Sayılan Gülden , İkizer Gözde , Dilekler İlknur , Memişoğlu Sanlı Aybegüm
Published: February 2024

Koronavirüs hastalığının (COVID-19) neden olduğu salgın tüm dünyada önemli bir kriz haline gelmiştir ve bireylerin hem fiziksel hem psikolojik iyilik haline bir tehdit olmayı sürdürmektedir. COVIDiSTRESS Küresel Çalışması 39 ülkeden araştırmacıların dahil olduğu bir açık bilim girişimidir ve insanların salgın sırasındaki deneyimlerine odaklanmıştır. Bu çalışmada, 30 Mart-30 Mayıs 2020 tarihleri arasında COVIDiSTRESS Küresel Çalışmasına Türkiye'den katılan 766 kişinin verisi kullanılarak stres, yalnızlık ve koruyucu önlemlere uyum ile ilişkili etkenlerin belirlenmesi hedeflenmiştir. Çalışmanın bulguları algılanan stres, yalnızlık ve önlemlere uyum davranışlarının sosyodemografik özellikler, duygusal dengesizlik ve dışa dönüklük, salgına yönelik endişeler, stres verici etkenler ve stres kaynakları ile başa çıkma/rahatsızlığı azaltmayla ilişkili olduğunu göstermiştir. Bu bulgular belirli duygusal, bilişsel ve davranışsal sonuçlar için olası risk etkenleri ve koruyucu etkenlere yönelik bilgi sağlamaktadır. Ayrıca bu bulgular salgın sırasında ya da sonrasında psikolojik iyilik halini artırmaya yönelik önleme ve/veya müdahale programlarının geliştirilmesine katkı sağlayabilir. Bireylere ve hükümete/sağlık sistemine güven ve sosyal desteğin ise bu ilişkilerde aracı rolünün anlamlı olduğu bulunmuştur. Bu, güveni ve sosyal desteği artırmanın stresi, yalnızlığı azaltmaya ve koronavirüsün yayılmasını yavaşlatmaya yönelik önlemlere uyumu artırmaya yardımcı olabileceğini düşündürmektedir.
Etnik ve Siyasi Kimlikleşme ve Algılanan Tehdit Düzeyinin Suriyeli Mültecilere Yönelik Olumsuz Tutumlarla İlişkisi
Authors: Özdemir Fatih , Çakır Esra , Kara Hamide Nur , Özkan Özgün
Published: February 2024

Tunus’ta başlayan baskıcı rejim karşıtı ayaklanmaların Suriye’yi etkilemesi ve ülkede bir iç savaşa dönüşmesi sebebiyle, 2011 yılından itibaren 3.6 milyondan fazla kayıtlı Suriyeli mülteci, can güvenliğinden endişe ederek Türkiye’ye göç etmiştir. Ani ve düzensiz şekilde gerçekleşen bu kitlesel göç hareketi Türkiye’de yaşayan yerel halk ve Suriyeli mülteciler arasındaki ilişkilerin gerilmesine ve toplumda gruplar arası çatışma ortamının oluşmasına neden olmaktadır. Yerel halkın mültecilere yönelik tutumlarının belirtilen gruplar arası ilişkilerde ve mültecilerin topluma uyum sürecindeki başarısında önemli bir rolünün olduğu alanyazınca bilinmektedir. Bu çalışmanın amacı ise Türkiye'de yaşayan Suriyeli mültecilere yönelik olumsuz tutumları saptamak ve etnik ve siyasi kimlikleşme ve olumsuz tutumlar arasındaki ilişkide mültecilere yönelik algılanan tehdit düzeyinin aracı rolünü incelemektir. Çevrimiçi ortamda gerçekleştirilen çalışmaya 18-33 yaş aralığında (Ortyaş = 22.36, S = 3.26), 368’i kadın ve 158’i erkek, lisans düzeyinde eğitim gören 526 üniversite öğrencisi katılmıştır. Yapısal eşitlik model testi bulgularına göre; Türk kimliğiyle özdeşleşmiş ve sağ-kanat siyasi yönelime sahip kişilerin Türkiye'de yaşayan Suriyeli mültecilere yönelik algıladıkları gerçekçi ve sembolik tehditler daha yüksek düzeylerdedir ve bu durumda Suriyeli mültecilere yönelik olumsuz duygulanım ve olumsuz kalıpyargılar güçlenirken, mültecilerle kurulan temasın kalitesi azalmaktadır. Bulguların, mülteci konularında çalışan bilim insanları ve bu konularda sosyal politikalar geliştiren ve uygulayan profesyoneller için faydalı olması beklenmektedir.
Atient Complaints Towards the Field of Surgery in Turkey: An Analysis of Comments on the Digital Platform
Authors: ŞENTÜRK Adem , YORDANAGİL Mevlüt
Published: February 2024

Aim: The purpose of the research is to examine patient complaints made on the internet site "sikayetvar" regarding the field of surgery in Turkey. The study also aims to identify common themes in patient complaints about the surgery department, better define the patient population making complaints, and systematically examine the reasons for complaints.

Materials and Methods: In the research designed as a retrospective, the complaints made to the complaintvar.com website were examined using the content analysis method, which is one of the qualitative research methods. In the research, 359 posts on the internet about the general surgery department in Turkey, made on the complaintvar.com site, between January 1, 2023 and November 1, 2023, were examined. Complaints made; They are classified according to gender, whether they are public or private hospitals, whether they are inpatients, outpatients or emergency patients, type of surgical procedure, whether only surgical intervention is performed, whether they are related to other departments, the number of views of the complaint and the subject of the complaint.

Results: In the study, 335 (93.3%) of the complaints were related to the procedures performed in general surgery. It was observed that they received a response to 74 (20.6%) of the complaints. It was observed that the complaints from all outpatient clinic patients were significantly higher than the complaints from ward, surgery and endoscopy patients (p
Multi-Parameter Analysis of Textile Materials
Authors: Peng Yu , Min Yangyang , Dang Wei , Shi Haowen , Liu Zengbin
Published: February 2024

Advanced constructions in the automotive, military, and aircraft sectors often employ textile materials. This is due to its advantageous mechanical characteristics, appealing supporting components, affordable manufacture, and simple handling. For architectural layout, textile composite analysis becomes crucial. It is costly and time-consuming to experimentally determine the rigidity and durability of textile materials. Due to the impossibility of disintegration, experimental testing can only provide the characteristics of a single textile layer. The disadvantage of a textile layer made up of various fibre orientations is that it is likely to display anisotropic physical performance. Based on the physical reaction of glass and epoxy resin materials, also the design of the textile materials, a multi-parameter (MP) analysis is used to identify the substance behaviour of textile materials via virtual testing. An estimate for just one layer or a whole textile prototype may be created using these simulated trials. Pressure-dependent and nonlinear responses of materials in the multi-parameter analysis are material models created especially for this purpose and are used to simulate. The simulations are contrasted with the outcomes of experimental tests, which reveal the properties of the textile materials. The findings stated that the proposed model has provided rigidity-dislocation of 0.30 in the simulation results
СТРАТЕГІЧНЕ УПРАВЛІННЯ ВИРОБНИЧИМ ПІДПРИЄМСТВОМ З ВИКОРИСТАННЯМ СУЧАСНИХ ІНФОРМАЦІЙНИХ ТЕХНОЛОГІЙ
Authors: ТЕРЕХОВ Дмитро
Published: February 2024

Статтю присвячено дослідженню особливостей стратегічного управління виробничим підприємством в умовах інтенсивного використання сучасних інформаційних технологій. Аналізується роль ІТ в підвищенні ефективності бізнес-процесів, конкурентоспроможності продукції та інноваційності підприємства. Розглядаються основні види ІТ, які застосовуються на виробничих підприємствах, такі як ERP-системи, CRM-системи, SCM-системи, BI-системи, IoT-системи тощо. Визначаються критерії вибору ІТ в залежності від специфіки виробництва, цілей та стратегії підприємства. Розробляється модель стратегічного управління виробничим підприємством з використанням сучасних ІТ, яка включає етапи формування стратегічної візії, визначення стратегічних цілей, вибору ІТ, реалізації ІТ-проектів, моніторингу та оцінки результатів. Висуваються рекомендації щодо підвищення ефективності стратегічного управління виробничим підприємством з використанням сучасних ІТ.
PENGARUH KOMPENSASI DAN LINGKUNGAN KERJA TERHADAP KEPUASAN KERJA KARYAWAN INDUSTRI PERBANKAN DI PALEMBANG
Authors: Vionika Audy , Febyyana Halim Agnes , Sekar Ningrum Fadilah
Published: February 2024

Penelitian ini bertujuan untuk menganalisis pengaruh kompensasi dan lingkungan kerja terhadap kepuasan kerja karyawan di industri perbankan di Palembang. Kepuasan kerja karyawan dianggap sebagai faktor kunci yang dapat memengaruhi produktivitas dan kinerja perusahaan. Tujuan inti penelitian dilakukan untuk mengetahui adakah dampak hubungan kompensasi dan lingkungan kerja terhadap kepuasan kerja karyawan industri perbankan di Palembang. Penelitian ini bersifat kuantitatif dengan mensurvei 59 karyawan karyawan Industri perbankan di Palembang. Data dikumpulkan menggunakan cara membagikan kuesioner yang sebelumnya diuji validitas dan reliabilitasnya, Teknik yang digunakan adalah teknik analisis regresi berganda. Hasil menjelaskan bahwa kepuasan kerja karyawan secara parsial dan simultan dipengaruhi oleh kompensasi dan lingkungan kerja. Untuk itu disarankan agar perusahaan- perusahaan yang bergerak di Industri perbankan di Palembang terus fokus pada dua faktor itu tersebut agar meningkatkan kepuasan para pekerja di seluruh organisasi.
PENGARUH TINGKAT PENDIDIKAN DAN PENGALAMAN KERJA TERHADAP KINERJA KARYAWAN BANK KOTA PALEMBANG
Authors: Febyyana Halim Agnes , Vionika Audy , Sekar Ningrum Fadillah
Published: February 2024

Sumber daya yang mempunyai pengaruh paling dominan dalam suatu organisasi atau perusahaan adalah pegawai. Pegawai yang kinerjanya baik dapat memberikan pengaruh positif bagi perusahaan seperti hasil kerja yang sesuai dan memuaskan. Tingginya indikator pendidikan dan pengalaman kerja yang dicapai seorang pegawai, maka pegawai tersebut dapat memahami dan menguasai bidang dan tugasnya. Penelitian ini bertujuan untuk mengetahui apakah terdapat pengaruh tingkat pendidikan dan pengalaman kerja terhadap kinerja karyawan. Dalam kerangka penelitian ini, peneliti berkontribusi dengan mencari permasalahan yang akan diangkat, melakukan penyebaran kuisioner, mengolah data, serta menyumbangkan pengetahuan baru melalui publikasi ilmiah. Jenis penelitian ini adalah penelitian kuantitatif yang dilakukan terhadap 51 responden yang mengisi kuesioner online. Berdasarkan data yang diperoleh maka hasil yang diperoleh menunjukkan bahwa tingkat pendidikan dan pengalaman kerja berpengaruh secara simultan terhadap kinerja pegawai bank di kota palembang.
S.Tr. M.P.K
Authors: Tuanany Erwin , Sahusilawane Tonny , Abdin Maslan , Serang Rudi
Published: February 2024

Pengukuran atau penilaian produktivitas pekerja mutlak harus dilakukan untuk mengetahui prestasi yang dapat dicapai setiap pekerja, apakah baik, sedang, atau kurang. Hal ini memiliki hubungan atau pengaruh dengan tingkat Pendidikan, motivasi dan tingkat pendapatan dalam melaksanakan pekerjaan proyek konstruksi.

Tujuan dalam penelitian ini yaitu Mengetahui pengaruh Tingkat Pendidikan, Motivasi, Tingkat Pengahsilan terhadap produktivitas pekerja dan Mengetahui pengaruh hubungan siknifikan antara Tingkat Pendidikan, Motivasi, Tingkat Pengahsilan pekerja dengan produktivitas pada Proyek Rehabilitasi Jaringan Irigasi Way Apu Sistem (Sub. D.I Way Pamali, Way Leman, Way Lo) metode penelitian yang digunakan yaitu Kuantitatif statistik dengan bantuan program aplikasi SPSS. versi 26, uji validitas dan uji relibilitas. Analisis data yang digunakan adalah uji regresi berganda. Hasil penelitian memberikan kesimpulan sebagai  berikut korelasi secara simultan (bersama-sama) antara variable Tingkat Pendidikan, Motivasi dan Tingkat Pengahsilan terhadap tingkat Produktivitas  memberikan kontribusi sebesar 60,7%. Tingkat Pendidikan berpengaruh terhadap produktivitas diperoleh nilai sebesar r = 0,738, Korelasi parsial antara Motivasi dengan tingkat produktivitas diperoleh nilai sebesar r = 0,749 dan Tingkat Penghasilan dengan tingkat produktivitas diperoleh nilai sebesar r = 0,759. Nilai dari ketiga variable di atas yaitu tingkat Pendidikan, motivasi dan penghasilan menunjukan hubungan yang kuat positif terhadap produktivitas.
Random State Initialized Logistic Regression for Improved Heart Attack Prediction
Authors: Wibowo Kevyn Alifian Hernanda , Putri Salma Aprilia Huda , Jumanto Jumanto , Muslim Much Aziz
Published: February 2024

One of the primary causes of death in Indonesia is heart attacks. Therefore, an effective method of pre-diction is required to determine whether a patient is experiencing a heart attack. One efficient approach is to use machine learning models. However, it is still rare to find machine learning models that have good performance in predicting heart attacks. This study aims to develop a machine learning model on Logistic Regression algorithm in predicting heart attack. Logistic Regression is one of the machine learning meth-ods that can be used to study the relationship between a binary response variable [0,1] and a set of pre-dictor variables, and can be used directly to calculate probabilities. In this study, a random state is ini-tialized in the Logistic Regression model in order to stabilize the training of the machine learning model and increase the precision of the proposed method. The results of this study show that the proposed model can be a method that has good performance in predicting heart attack disease.
Optimization of 4G LTE Network Bad Spot Area using Automatic Cell Planning Method
Authors: Yuhanef Afrizal , Aulia Siska , Jasmanto Jasmanto
Published: February 2024

The 4G LTE technology is widespread in almost all regions in Indonesia, including Solok City in West Sumatra, where this study was conducted. Based on the results of the 1800 MHz frequency drive test, the RSRP value was in the good category (81.44%), but the SINR value was in the poor category (56.96%). Furthermore, the results of the 2100 MHz frequency drive test showed that the RSRP value was in the poor category (58.11%), and the SINR value was also in the poor category (54.62%). These results indicate that the area had poor network quality. Therefore, this study aimed to optimize the Bad Spot Area in Solok City using the Automatic Cell Planning (ACP) method. The ACP method optimization results show that at the 1800 MHz frequency, the value of the ten cells is in the interval -127.84 ≤ RSRP ≤ -99.34. Meanwhile, at the 2100 MHz frequency, the value of the seven cells is in the poor category, which is in the interval -136.39 ≤ RSRP ≤ -111.03. In the 2100 MHz frequency, there is a decrease in RSRP value in the poor cate-gory from 43.27% to 41.85%. SINR parameter optimization results of 2100 MHz frequency, the percentage of a very good category is higher with a value of 51.40% than 44.16% at 1800 MHz frequency.
Research on Simulation and Experiment of Spinning Process of Ta-10W Liner
Authors: Li Yanqing , Li Yongzhou , Hang Mingzhi , Guo Yaming
Published: February 2024

This paper mainly simulates the spinning process of tantalum tungsten alloy liner parts, simulates the spinning process with finite element analysis software, and obtains the stress and strain program in the spinning process. With the wall thickness difference of the spun parts as the analysis target, the influence law of the feed ratio, radius, and working angle of the spinning wheel on the wall thickness difference is obtained. The spinning experiment is conducted with the process parameters obtained from the simulation, and the experimental results are in good agreement with the simulation results, which shows that the method and means of simulation can guide the actual spinning process.
Demand Response Analysis of Distributed Optimal Dispatch in the Regional Power Grid
Authors: Yi Xinning , Lu Tianguang , Liu Zhifan , Shi Lei , Xu Xiaotong , Liu Hao
Published: February 2024

To analyze the effect of demand response (DR) in the regional power grid, a day-ahead optimal dispatching model of the regional power system considering the DR is established by using the elasticity matrix of electricity price, and a real-time rolling dispatching optimization model considering the renewable energy power prediction errors in different time scales is established. For the privacy of information in different regions, the alternate direction multiplier method (ADMM) is used for a distributed solution to obtain an optimal scheduling scheme. Taking a regional power grid in China as a case, we testify that the DR plays a crucial part in peak-load shifting in the regional power grid. Under the reasonable proportion of curtailable load (CL) and shiftable load (SL), the dispatching optimization model proposed can promote the total operation cost reduction and renewable energy consumption.
Configuration Scheme of Battery-Flywheel Hybrid Energy Storage Based on Empirical Mode Decomposition
Authors: Li Hongke , Yang Fei , Chen Yuwei , Xie Rui , Wu Yingzi
Published: February 2024

In recent years, extreme weather occurs frequently, and the energy crisis is becoming more and more serious. The unified scheduling of new energy sources such as scenery can alleviate the problems of primary energy shortage. However, the randomness and fluctuation of new energy lead to its low internet access. Building an energy storage station for new energy generation side can not only solve the fluctuation problem of new energy grid connection, but also increase the grid connection of new energy sources. This article decomposes the output data of wind farm into high, medium and low frequency components through empirical mode decomposition. The low frequency component can be directly connected to the grid, battery could stabilize intermediate frequency component and and flywheel stabilize high frequency component.Combined with the objective function of minimum cost of the energy storage station, minimized capacity is carried out, and the economic optimal scheme is obtained.
A Method for Autonomous Shelf Recognition and Docking of Mobile Robots Based on 2D LiDAR
Authors: Zhao Yifan , Li Xiang , Lu Wei , Hu Lizhi
Published: February 2024

This paper presents a method for mobile robots to recognize and dock shelves based on 2D LiDAR, which can autonomously identify shelves and perform high-precision docking. A geometric feature-based shelf leg recognition and multi-shelf model screening method is designed, which can quickly and accurately autonomously identify shelves. A fitting method for the center of shelf legs and shelf centers based on nonlinear least squares was proposed, and a real-time autonomous docking system was designed, which can autonomously distinguish shelf size types and perform precise docking. The experiment shows that the proposed method can achieve a docking accuracy of ± 1 cm.
Research on Integrated Production Scheduling Optimization in Aerospace Manufacturing Workshop Based on Production Processes
Authors: Sheng Chao , Huangfu Yilong , Shi Jie , Cai Bo , Wangcheng Jialin
Published: February 2024

The optimization of scheduling in spacecraft manufacturing workshops is an important measure taken to reduce production costs and improve processing efficiency. In solving scheduling problems, genetic algorithms have been widely applied as efficient optimization algorithms. This study establishes a mathematical model for workshop job processing with the objective of minimizing processing time. Addressing the issues of premature convergence and low solution accuracy in standard genetic algorithms (SGA), an improved genetic algorithm is proposed. To obtain better populations, the crossover and mutation probabilities are automatically adjusted by referencing individual fitness values. Additionally, to avoid generating invalid solutions, genes are divided into different segments based on processing operations to improve crossover operations. The results of the case study demonstrate that the improved genetic algorithm exhibits better convergence and global search capabilities compared to the standard genetic algorithm, achieving significant improvements in scheduling structure optimization.
Simulation and Analysis of Wordle Based on HSW Model
Authors: Qiu Tong , Zhong Yu
Published: February 2024

Wordle is a popular puzzle currently offered daily by the New York Times. Players try to solve the puzzle by guessing a five-letter word in six tries or less, receiving feedback with every guess. Wordle continues to grow in popularity and versions of the game are now available in over 60 languages. In this paper, the scientific computing method is used to establish a wordle decision model by combining the statistical data of authoritative English corpus and a wordle solution model based on heuristic algorithm. Based on this, we propose the HSW model to fit and analyze the real game situation of wordle players, so as to make suggestions for designers of wordle. Based on the previous social research reports and the principle of normal distribution, we summarize and propose a VP model that can describe the vocabulary size of the population. Based on the wordle game rules, we pioneered an heuristic solution strategy with multiple controllable variables. Combined with the previous VP model, we optimized the algorithm used and built a large-scale simulation wordle game model. Through continuous parameter adjustment,we obtained a HSW model that fits the real wordle game situation. Based on the HSW model, we discuss its structural characteristics to explain the different reasons for the results of wordle games in reality. In order to describe the difficulty of a given solution word in wordle, we establish a difficulty evaluation model based on the average number of guess rounds. Finally, we compare the attributes of possible words with fixed irrelevant variables to determine the influence of specific attributes on word difficulty.
Sampled-Data Controller Design with Exponential Time-Varying Gain for Complex Dynamical Networks
Authors: Qian Cheng , Mao Shangchun , Wan Zhiwei , Wang Xi , Yan Zhilian
Published: February 2024

The article is dedicated to the design of a sampled-data controller (SDC) with exponential time-varying gain (ETVG) for a kind of complex dynamical networks. It establishes a set of sufficient conditions, expressed as linear matrix inequalities, for the design of SDC with ETVG using coordinate conversion and Lyapunov function. Finally, the validity of the presented results is demonstrated through a practical example.
Simulation Turntable Damper Design and Dynamic Characterization Test
Authors: Jing Manjun , Mao Hongyong , Lu Jinjin , Ma Jun , Fan Zhuo , Chen Minghao
Published: February 2024

Three-dimensional solid modeling and structural design of the simulation turntable damper were carried out by three-dimensional software, and the intensity checking of the main parts of the damper was carried out by finite element software. The tests of the damper samples were carried out, and the electro-hydraulic servo MTS fatigue test rig was used to test the dynamic characteristics of the two dampers, and the dynamic stiffness values of the dampers at different frequencies were obtained. The test results show that the dynamic stiffness values of the two damper samples are 5282N/mm and 4356N/mm respectively, which are basically consistent with the design values; due to the production variability, the dynamic stiffness values of the two damper samples have some differences; the dynamic stiffness values of the damper samples increase slightly with the increase of the loading frequency. The dynamic characteristics of the dampers were obtained through the tests, and it was verified that the structure and performance of the simulation turntable damper met the design requirements.
Development of a Numerical Simulator for Chemical Composite Flooding in Large-Scale Reservoirs
Authors: Wang Chunrui
Published: February 2024

Chemical composite flooding technology applies numerical simulation methods to carry out oil displacement mechanism research, program optimization design, development effect prediction, residual oil analysis, and effect evaluation, providing crucial technical support for the efficient development of chemical composite flooding. With the continuous deepening of the understanding of the mechanism of chemical composite flooding and the constant expansion of the scale, the numerical simulation technology has established the basic mathematical model of oil-gas-water three-phase chemical flooding based on convection, dispersion and diffusion and the fast decoupling sequence solution method, found the mathematical model of the mechanism of multi-element surfactant flooding and the change of reservoir physical properties caused by alkali, and realized the parallel computing technology of chemical composite flooding numerical simulation, The pre-and post-processing software for the numerical simulation of chemical composite flooding had been developed. It is equipped with a large-scale complex chemical composite flooding numerical simulator with advanced performance, such as data flow integration, pre-and post-processing visualization, large-scale fine reservoir simulation parallelization, corner grid reservoir feature description, and complex flooding mechanism description. It provides technical support for the optimization design, tracking adjustment, and effect evaluation of chemical composite flooding scheme.
Ice Flow Velocity Mapping for Long-Time Motion Analysis of Typical Glaciers in Northwestern Greenland
Authors: Yu Chengxuan , Yu Zeran , Cao Zheyi , Qiao Gang
Published: February 2024

Current research on the Greenland Ice Sheet (GrIS) ice flow velocity has generally focused on the post-1985 period, with pre-1985 studies mainly concentrated in the typical regions of northern and northeastern Greenland. However, the GrIS lacks historical maps of ice flow velocity and analyses of long-time motion. This paper estimated the historical ice flow velocity of four typical glaciers in northwestern Greenland using Declassified Intelligence Satellite Photography (DISP) and Landsat MSS images: Petermann Glacier, Humboldt Glacier, Tracy Glacier, and Heilprin Glacier. Based on the ice flow velocity, flow direction, and DEM change trend, the central streamline of each glacier was then mapped. In conjunction with previous research, this paper examined changes in ice flow velocity on the central streamline of Petermann Glacier from the 1960s to the 2020s and changes on Humboldt Glacier, Tracy Glacier, and Heilprin Glacier from the 1970s to the 2020s. Then, we traced the ice front of each glacier from the 1960s to the 2020s and examined its changing trend. The findings showed that the ice flow velocity of all four glaciers increased, with Petermann Glacier and Tracy Glacier showing significant increases from 2005 to 2019. Furthermore, the ice fronts of four typical glaciers all shrank after 2000, with Petermann Glacier and Tracy Glacier experiencing severe retreat and perhaps even disintegration. This paper filled a gap in the historical ice flow velocity mapping in northwestern Greenland and provided valuable information for the analysis of long-time motion in this region.
2D Numerical Aerodynamic Simulation for the Interpretation of Formation Flight Phenomena in Birds
Authors: Duan Shengyou
Published: February 2024

Formation flight of birds is a common phenomenon in nature. Birds can fly efficiently in formation through close coordination and communication. With the rapid development of unmanned aerial vehicle (UAV) technology, formation flight has become one of the popular research topics. The study of the aerodynamic principle of bird formation flight can provide new ideas and methods for UAV formation flight. In this study, the household incompressible unsteady Navier-Stokes solver based on the finite volume method was used to study the aerodynamic characteristics of formation flight arranged in a straight line with second-order spatial and temporal discretization schemes. By numerical simulation of the flow field around two NACA0012 airfoils, the velocity, pressure gradient, and vorticity distribution around two airfoils in a two-dimensional (2D) plane were studied and the mechanical characteristics were analyzed. The following conclusions are drawn. In the linear formation flight, the rear airfoil has a higher lift coefficient, lower pressure drag coefficient, and lower viscous drag coefficient than the front one. Combined with the dynamic simulation, the principle of vortex shedding and wake interference as the cause of lift is explained from the perspective of vorticity.
Evaluation and Forecasting Models for GGDP
Authors: Su Jingnan , Huang Jueying , Wang Jiawu
Published: February 2024

The evaluation and prediction of GGDP has important implications for global development. We derived positive and negative factors affecting climate change through indicator analysis. We then also developed a grey prediction model and a regression analysis model to predict global climate change. The analysis of the results shows that GGDP benefits from a reduction in carbon emissions of 1791.67665767 Mt C02/year. In addition, we used a quadratic non-linear regression model to analyze the environmental impact of the specific use of GGDP. The model proposed in this paper facilitates the evaluation and prediction of GGDP.
Breast Cancer Classification Based on KNNI Imputation of Missing Data
Authors: Wang Yong , Zhu Rong
Published: February 2024

Some disease datasets have different degrees of missing, which will lead to the problem of low classification accuracy. To improve the effectiveness of breast cancer disease detection and diagnosis, a classification prediction method combining KNNI and XGBoost was proposed and applied to the classification and analysis of breast cancer data. First, the KNNI method is used to impute the missing data in the breast cancer patient dataset; Then, the original dataset is equalized by the SMOTE oversampling method; Finally, XGBoost is used to extract features that are strongly related to breast cancer malignancies as the input of the model, optimize the XGBoost model by grid search algorithm, find the optimal model parameters, and classify and diagnose the breast cancer dataset. The experimental results show that KNNI can effectively recover the lost data, improve the data quality, and improve the subsequent classification accuracy. Applying imputation methods to flexibly apply missing data to machine learning methods holds great promise.
Research on Zero-Shot Learning Based on Generative Model
Authors: Yan ShiZhen , Zeng Qingtao , Qi Yali , Lu Likun , Dong Wu , Yu Liqin
Published: February 2024

Zero-shot learning is mainly applied in image classification tasks. Traditional classification methods use a large number of manually labeled data samples, which is time-consuming and inefficient. Zero-shot learning use semantic information to recognizes unknown images in the absence of labeled training data, saving labor costs. The mainstream method of early zero-shot learning, which only used known class data during training, was susceptible to domain drift and pivot point issues during testing, resulting in a decrease in model performance on the test set. In recent years, researchers have begun to use the generative model to solve the above problems. By generating the sample features of unknown classes to make up for the lack of visual data of unknown classes in training, the problem of imbalance between known and unknown class data has been alleviated. Firstly, introducing the concept of zero-shot learning briefly. Secondly, it briefly introduces traditional zero-shot learning and generalized zero-shot learning. Thirdly, two kinds of zero-shot learning methods based on the generative model are emphatically introduced. Then, the datasets and evaluation methods of zero-shot learning are briefly introduced, and the experimental results of the classical model are compared and analyzed. Finally, make a summary and outlook.