University of Surabaya

University of Surabaya Institutional Repository
Not a member yet
    42304 research outputs found

    Pengaruh Pemberian Ekstrak Daun Gedi (abelmoschus Manihot L.,) Terhadap Histopatologi Jumlah Sel Kupffer Makrofag Hepar Tikus Wistar Jantan (rattus Novergicus) Yang Diberi Paparan Asap Rokok

    No full text
    Latar Belakang: Paparan asap rokok dapat menyebabkan ketidakseimbangan anatar kadar antioksidan dan jumlah radikal bebas yang meningkat, hal ini berdampak buruk terhadap kesehatan, termasuk menimbulkan gangguan pada hepar. Salah satu indikator gangguan tersebut dapat dilihat dari peningkatan rerata jumlah sel Kupffer makrofag. Untuk menghambat peningkatan julah sel tersebut akibat paparan radikal bebas, diperlukan asupan antioksidan dari luar (antioksidan eksogen). Salah satu sumber antioksidan tinggi yang potensial adalah tanaman daun Gedi (Abelmoschus Manihot L.). Tujuan: Penelitian ini bertujuan untuk mengetahui pengaruh ekstrak daun Gedi terhadap perubahan jumlah sel Kupffer makrofag tikus wistar jantan yang diberikan paparan asap rokok. Metodologi: Penelitian ini merupakan penelitian eksperimental dengan pendekatan Randomized Contorlled Trial (RCT menggunakan desain post-test control group. Sebanyak 30 ekor tikus wistar jantan digunakan dalam penelitian selama 21 hari dan dibagi menjadi lima kelompok, yaitu kelompok kontrol negatif, kontrol positif, serta tiga kelompok perlakuan yang masing-masing diberikan dosis 0,1 gram/ekor/hari, 0,15 gram/ekor/hari, 0,20 gram/ekor/hari. Perhitungan jumlah sel Kupffer makrofag dilakukan pada 5 lapang pandang hepar dengan pembesaran mikroskop 400x. Data yang diperoleh kemudian dianalisis menggunakan uji ANOVA untuk mengetahui adanya perbedaan antar kelompok. Hasil Penelitian: Pemberian ekstrak dau Gedi (Abelmoschus Manihot L.) dengan dosis 0,1 gram, 0,15 gram, dan 0,20 gram belum memberikan perbedaan yang signifikan terhadap jumlah sel Kupffer makrofag pada tikus wistar jantan (Rattus Norvegicus) dibandingkan kelompok kontrol (p = 0,189). Meskipun tidak signifikan dosis, 0,15 gram menunjukkan kecenderungan penurunan jumlah sel disbanding kelompok lain Kesimpulan: Ekstrak daun Gedi (Abelmoschus Manihot L.) berpotensi memengaruhi jumlah sel Kupffer makrofag, namun belum menunjukkan efek yang signifikan secara statistic

    Sosialisasi Budaya Anti Korupsi Melalui Ilmu Akuntansi Forensik di SMA Katolik St. Louis 1 Surabaya

    No full text
    Korupsi merupakan masalah serius yang merusak kehidupan bangsa dan harus dicegah sejak usia muda. Kegiatan pengabdian ini bertujuan untuk menanamkan budaya anti korupsi di kalangan siswa SMA melalui sosialisasi ilmu akuntansi forensik. Akuntansi forensik dikenalkan sebagai ilmu yang mampu mendeteksi dan mencegah kecurangan, serta mendorong siswa untuk berpikir kritis, jujur, dan bertanggung jawab. Kegiatan ini dilaksanakan di SMA Katolik St. Louis 1 Surabaya dengan metode ceramah, studi kasus, diskusi, dan tanya jawab. Materi disusun sederhana dan kontekstual agar mudah dipahami siswa. Salah satu studi kasus yang dibahas adalah kasus PT Timah, yang menunjukkan dampak besar korupsi terhadap negara. Hasil kegiatan menunjukkan bahwa siswa antusias dan lebih sadar akan pentingnya kejujuran dalam kehidupan sehari-hari. Guru dan sekolah mendukung penuh program ini dan siap menjalin kerja sama lanjutan. Dengan sinergi antara universitas dan sekolah, diharapkan kegiatan ini menjadi awal pembentukan generasi muda yang jujur dan berintegritas. Program ini juga memperkuat peran perguruan tinggi sebagai agen perubahan yang berdampak langsung bagi masyarakat. Kata kunci: akuntansi forensik, budaya anti korupsi, pengabdian masyarakat, kejujura

    Proses Kultivasi Akar Jahe Merah dalam Bioreaktor 500 mL

    No full text
    Video Proses Kultivasi Akar Jahe Merah dalam Bioreaktor 500 mL mengulas proses yang terdiri dari tiga tahap utama yaitu sterilisasi bioreaktor, kultivasi inokulum akar jahe merah ke dalam bioreaktor, dan inkubasi serta pemeliharaan kultur akar jahe merah dalam bioreaktor. Pada tahap sterilisasi bioreaktor diawali dengan langkah pencucian bagian bioreaktor, pemasangan selang udara, pemasangan sumbat karet pada mulut bioreaktor, pembungkusan rangkaian bioreaktor dalam kantong plastik, dan sterilisasi bioreaktor menggunakan autoklaf. Pada tahap kultivasi inokulum dalam bioreaktor diawali dengan menyiapkan Laminar Air Flow Cabinet (LAFC). Bahan eksplan, alat inokulasi, vent filter steril, tripod bioreaktor dan rangkaian bioreaktor steril dimasukkan ke dalam LAFC. Ujung selang udara dilepaskan dari bungkus aluminium foil dan dipasangkan pada vent filter steril sehingga rangkaian bioreaktor siap digunakan. Media kultur dan inokulum dimasukkan secara aseptis ke dalam bioreaktor, selanjutnya bioreaktor ditutup rapat dengan sumbat karet. Rangkaian bioreaktor tersebut siap dipindahkan ke dalam ruang inkubasi. Pada tahap inkubasi dan pemeliharaan diawali dengan meletakkan bioreaktor hasil pada tahap kultivasi pada ruang inkubasi yang telah diatur suhu, kelembaban dan kondisi cahayanya. Bioreaktor tersebut dirangkai dengan selang yang terhubung pada rotameter dan pompa udara. Kecepatan aliran udara diatur sesuai kebutuhan, selanjutnya kontrol dilakukan terhadap suhu dan kelembaban setiap hari hingga masa kultivasi berakhir

    Improving Digital Marketing for Micro Enterprises in Segoro Tambak Village: A Community Engagement

    No full text
    Digital marketing is an essential strategy for microenterprises to expand market share and increase sales. To support micro enterprises in Segoro Tambak Village, Sedati Subdistrict, Sidoarjo Regency, a community engagement program was implemented through the national grant. The program involved preliminary observations, digital marketing workshops, interviews, hands-on training, mentoring, and follow-up activities. As part of the intervention, Instagram and TikTok accounts were created for 20 micro enterprises, enabling them to showcase their products and reach broader audiences. Pre- and post-program assessments indicated significant improvements: over 73% of participants reported increased confidence in using social media, while 75% successfully uploaded promotional content independently after mentoring. Two key outcomes emerged from the engagement: (1) the establishment of social media accounts for both the village group and individual micro firms, and (2) enhanced knowledge and digital literacy among participants, particularly those previously unfamiliar with smartphone-based marketing. These results demonstrate how structured community-based interventions can effectively bridge the digital divide, empower local entrepreneurs, and increase product visibility and sales. Beyond immediate benefits, this initiative contributes to the long-term sustainability and competitiveness of micro enterprises in adapting to the rapidly evolving digital economy

    Homophily in Southeast Asian University collaborations: evaluating internationalization and collaboration through bibliometric collaboration data

    No full text
    This study investigates the influence of homophily rooted in institutional rankings on the structure and dynamics of international research collaboration networks among Southeast Asian universities and examines its implications for regional academic stratifi- cation and inequality. Utilizing bibliometric data from 175 universities certified by the ASEAN University Network, we employed social network analysis (SNA) to map collabor- ation patterns using centrality metrics (eigenvector, betweenness, closeness, and degree) and clique analysis. Our findings reveal a pronounced ‘rich-get-richer’ dynamic, in which top-ranked institutions, predominantly from Malaysia and Singapore, dominate collaboration networks, controlling 75.69% of the connections. Elite universities, such as Universiti Malaya (eigenvector centrality: 0.989) and the National University of Singapore (degree centrality: 0.224), function as structural brokers, reinforcing exclusivity and mar- ginalizing lower-ranked institutions. Conversely, despite their numerical predominance, Indonesian universities exhibit a fragmented influence, whereas those in Cambodia, Laos, and Myanmar remain peripheral with near-zero centrality metrics. Clique analysis further underscores regional fragmentation, with large collaborative clusters (�21) dominated by Indonesian institutions, reflecting inward-oriented networks. This study identifies a stark core-periphery divide exacerbated by preferential attachment mecha- nisms and resource disparities that perpetuate academic inequality. These findings chal- lenge the presumed egalitarian benefits of internationalization, highlighting how institutional ranking homophily entrenches stratification

    Analysing Factors Contributing to Length of Stay (LoS) Among Patients with COVID-19 in Indonesian Hospital Setting

    No full text
    Penyakit COVID-19 masih menjadi ancaman konstan bagi kesehatan masyarakat global. Penggunaan obat dan lama rawat inap (LoS) merupakan indikator utama kualitas pelayanan di rumah sakit. Penelitian ini bertujuan untuk mengamati LoS dan faktor yang mempengaruhinya (termasuk karakteristik pasien dan penggunaan obat) pada pasien rawat inap COVID-19 di Rumah Sakit X di Surabaya, Indonesia. Penelitian observasional dilakukan dengan menggunakan rekam medis pasien rawat inap COVID-19 di Rumah Sakit X selama tahun 2022. Data karakteristik pasien dan profil obat dianalisis secara deskriptif. Kesesuaian terapi obat ditentukan berdasarkan pedoman terapi. Uji korelasi dilakukan untuk hubungannya dengan LoS. Total terdapat 203 pasien rawat inap COVID-19, meliputi: neonatus/anak/remaja (12,32%), dewasa (66,5%), dan lanjut usia (21,2%). Sebagian besar pasien laki-laki (54,2%) dengan keparahan sedang (80,8%), dan 36,4% memiliki komorbiditas. Kesesuaian terapi pada pasien neonatus/anak/remaja, dewasa, dan lanjut usia adalah: 12% (3/25), 76% (103/135), 60% (26/43), secara berurutan. Rata-rata LoS adalah 7,0±3,11 hari, dimana LoS terendah pada neonatus/anak/remaja (6,1±2,43 hari) dan tertinggi pada lansia (7,4±3,02 hari). Faktor yang secara signifikan mempengaruhi LoS adalah status vaksinasi (p= 0,000) dan tingkat keparahan COVID-19 (p= 0,002), namun tidak dipengaruhi oleh kesesuaian terapi (p= 0,864). Hasil penelitian merupakan data awal untuk mengembangkan strategi perbaikan kualitas layanan untuk pasien COVID-19 rawat inap

    Microbial Pattern in Amniotic Fluid from Women with Premature Rupture of Membranes and Meconium-Stained Fluid

    Get PDF
    Intra-amniotic infection (IAI), also known as chorioamnionitis, is a major cause of maternal and neonatal infection that occurs during pregnancy, labor and delivery, or in the postpartum period. Conditions such as meconium-stained amniotic fluid (MSAF) and premature rupture of membranes (PROMs) are recognized risk factors for amniotic fluid infection. This study identifies the microbial patterns in the amniotic fluid of women with PROMs and MSAF to determine the presence and types of bacterial growth. It also identifies trends in antibiotic use through descriptive statistics. Conducted as a descriptive observational study with prospective data collection, this research included maternal patients with PROMs lasting more than 12 h and those with MSAF, along with their infants. Of 30 cultured amniotic fluid samples, bacterial growth was observed in 13 cases, with Escherichia coli being the most prevalent (40%). Infants born with PROMs accompanied by MSAF were 5.5 days, significantly longer than those born with PROMs alone (3.19 days) or MSAF alone (3.91 days), with a significant difference between groups (p = 0.003). In addition, Escherichia coli isolates in this study are resistant to ceftriaxone, a third-generation cephalosporin antibiotic. Understanding these microbial patterns is critical for guiding clinical decisions, particularly in managing the risk of infection in pregnant women with PROMs and MSAF and ensuring better outcomes for both mothers and newborns

    Mixed Method Usability Testing for User Experience and User Interface of AI-Based Supermarket Applications

    Get PDF
    Designing digital apps for businesses, including retail companies, is crucial in the digitalization era. To enhance the customers’ shopping experience, an AI-based digital app for supermarkets has been designed to facilitate customers’ searching for and purchasing goods. AI-based digital apps with a good user interface and user experience design will be very effective because they can enhance the app’s visual appeal. After developing the digital app based on the user’s needs and preferences, usability testing was conducted to assess whether it could overcome the problem and enhance the shopping experience. This study aims to determine the usability of digital apps using mixed methods through qualitative and quantitative methods. The usability testing was conducted quantitatively through Maze software (for seven tasks) and a questionnaire using Nielsen’s aspects, including learnability, efficiency, memorability, accuracy, and satisfaction. The results of the Maze score indicated an 80% success rate and a usability score of 59%. This result refers to a medium usability score, indicating the need for future improvements. The results from the usability testing using the questionnaire showed high scores on learnability (85%), efficiency (80%), and memorability (83%), as well as medium scores on accuracy (60%) and satisfaction (50%). The average score from questionnaires is 72%. Both results implied medium usability scores. After quantitative testing, qualitative data regarding users’ experiences, problems, and expectations using the digital app were collected through interviews and observations. The results of the quantitative and qualitative analysis show that the digital shopping app should improve its layout, ease of use, features like a favorites section, and product descriptions. The findings of this study offer fresh insight into integrating quantitative and qualitative methods. In contrast, quantitative and qualitative testing results can be combined to provide a comprehensive analysis that will help the apps improve.In addition, qualitative data regarding users’ experience, problems and expectations in using the digital application was also collected for completing the quantitative data. Based on the usability measurement, it was found that the supermarket digital application has already met all the usability aspects, from qualitative and qualitative data

    Adding traditional and emerging biomarkers for risk assessment in secondary prevention: a prospective cohort study of 20 656 patients with cardiovascular disease

    Get PDF
    Aims This study aims to explore whether conventional and emerging biomarkers could improve risk discrimination and calibration in the secondary prevention of recurrent atherosclerotic cardiovascular disease (ASCVD), based on a model using predictors from SMART2 (Secondary Manifestations of ARTerial Disease). Methods and results In a cohort of 20 658 UK Biobank participants with medical history of ASCVD, we analysed any improvement in C indices and net reclassification index (NRI) for future ASCVD events, following addition of lipoprotein A (LP-a), apolipoprotein B, Cystatin C, Hemoglobin A1c (HbA1c), gamma-glutamyl transferase (GGT), aspartate aminotransferase (AST), alanine aminotransferase, and alkaline phosphatase (ALP), to a model with predictors used in SMART2 for the outcome of recurrent major cardiovascular event. We also examined any improvement in C indices and NRIs replacing creatinine-based estimated glomerular filtration rate (eGFR) with Cystatin C–based estimates. Calibration plots between different models were also compared. Compared with the baseline model (C index = 0.663), modest increments in C indices were observed when adding HbA1c (ΔC = 0.0064, P < 0.001), Cystatin C (ΔC = 0.0037, P < 0.001), GGT (ΔC = 0.0023, P < 0.001), AST (ΔC = 0.0007, P < 0.005) or ALP (ΔC = 0.0010, P < 0.001) or replacing eGFRCr with eGFRCysC (ΔC = 0.0036, P < 0.001) or eGFRCr-CysC (ΔC = 0.00336, P < 0.001). Similarly, the strongest improvements in NRI were observed with the addition of HbA1c (NRI = 0.014) or Cystatin C (NRI = 0.006) or replacing eGFRCr with eGFRCr-CysC (NRI = 0.001) or eGFRCysC (NRI = 0.002). There was no evidence that adding biomarkers modified calibration. Conclusion Adding several biomarkers, most notably Cystatin C and HbA1c, but not LP-a, in a model using SMART2 predictors modestly improved discrimination

    24,211

    full texts

    42,304

    metadata records
    Updated in last 30 days.
    University of Surabaya Institutional Repository
    Access Repository Dashboard
    Do you manage Open Research Online? Become a CORE Member to access insider analytics, issue reports and manage access to outputs from your repository in the CORE Repository Dashboard! 👇