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Sistem Informasi Tridharma Fakultas Bisnis dan Ekonomika Versi 2025.1
“Sistem Informasi Tridharma Fakultas Bisnis dan Ekonomika Versi 2025.1” adalah karya sistem informasi yang terdiri dari manual book, laman situs web dan database yang disusun untuk memudahkan pengorganisasi dan pembaruan database tridharma (bidang pendidikan/pengajaran, penelitian, dan pengabdian kepada masyarakat). Sistem Informasi Tridharma Fakultas Bisnis dan Ekonomika Versi 2025.1 (Database FBE) memuat master file dan activity file yang tidak terbagi dalam kriteria-kriteria sebagai antisipasi perubahan standar akreditasi. Tujuan Database FBE adalah untuk mengakomodasi pengintegrasian data yang tersebar, memudahkan pengorganisasian data fakultas dan prodi, mendukung pengambilan keputusan pimpinan fakultas dan prodi, mempercepat proses penyusunan dokumen (borang) akreditasi program studi dan dokumen evaluasi kinerja program studi setiap periode (semester dan tahun) sehingga mempercepat kerja tim KPM (Fakultas dan Prodi), tim borang dan tim penyusun Dokumen Pemantauan dan Evaluasi, tim medsos, tim website, serta pihak lainnya. Fungsi Database FBE adalah mengumpulkan dan menyimpan data. Manfaat Database FBE ini adalah menyediakan data tridharma dan meningkatkan produktivitas kinerja dari civitas academica FBE secara keseluruhan. Hasil kegiatan ini diharapkan bermanfaat bagi pimpinan, penjaminan mutu, dan seluruh civitas academica baik di tingkat program studi dan fakultas, karena mengurangi waktu pengumpulan dan pengolahan data tridharma yang tersebar
Spray‑Dried Microencapsulation of Roselle Calyx Extract: Investigating the Impact of Maltodextrin and its Combination with Alginate and Carboxymethyl Cellulose as Wall Materials
Roselle (Hibiscus sabdariffa L.) anthocyanins serve as both colorants and bioactive compounds but are highly unstable to
pH, light, heat, metal ions, oxygen, and enzymes. Microencapsulation using appropriate techniques and matrix materials enhances the stability of anthocyanins. This study aimed to compare the physicochemical properties and antioxidant activity of spray-dried microencapsulated roselle anthocyanins using a single matrix (maltodextrin) and binary matrix combinations. The binary matrices included maltodextrin-alginate at ratios of 49:1, 47:3, and 46:4, and maltodextrin-carboxymethyl cellulose at ratios of 49.5:0.5, 49:1, and 48:2. The use of a binary matrix improved the physicochemical properties of the microcapsules. The selected matrices, maltodextrin-alginate (49:1) and maltodextrin-carboxymethyl cellulose (49:1), produced microcapsules with the following characteristics, a yield of 52.80% and 50.67%, a pink-colored powder with a non sticky texture, moisture content of 2.95% and 3.87%, encapsulation efficiency of 98.01% and 98.80%, an average particle
size of 1.406 μm and 1.365 μm with a homogeneous distribution (PDI < 0.7), and the capacity to retain red color stability at pH 2.6–5. The microcapsules exhibited an amorphous structure characterized by a non-spherical and agglomerated form. ATR-FTIR analysis confirmed that the anthocyanins were successfully trapped within the matrix through visible changes in the spectra. The microcapsules demonstrated free radical scavenging activity against DPPH, with IC50 values of 3.8087 and 3.0438 mg/mL. The addition of alginate or carboxymethyl cellulose to maltodextrin as a matrix not only resulted in powder with improved physicochemical properties but also enhanced encapsulation efficiency, suggesting their potential for stabilizing anthocyanins in functional food applications. Therefore, further research is needed to explore other binary matrix combinations, optimize the release behavior of anthocyanins, and evaluate their performance in real food or pharmaceutical applications
Dance Movement Therapy Dan Gangguan Stress: Studi Meta-Analisis
Stres merupakan masalah psikologis yang umum dialami banyak orang, yang biasanya diakibatkan oleh tekanan hidup yang semakin kompleks. Oleh karena itu, perlu untuk menemukan solusi untuk mengatasi fenomena tesebut, karena jika tidak segera diatasi, maka stres akan berdampak negatif pada kesehatan fisik dan mental penderita. Dance Movement Therapy (DMT) merupakan salah satu bentuk metode alternatif yang digunakan untuk mengurangi stres dalam bentuk terapi yang memanfaatkan gerakan tubuh sebagai cara untuk mengekspresikan emosi dan memperbaiki kondisi psikologis individu. Penelitian ini bertujuan untuk melakukan studi analisis terhadap efektivitas dance movement therapy dalam mengatasi gangguan stres. Penelitian ini menggunakan metode meta-analisis untuk melihat efektifitas dance movement therapy dalam mengatasi gejala stres. Data dikumpulkan dari tiga database utama, yaitu Science Direct, PubMed, dan Google Scholar, dengan rentang publikasi 2011-2021. Seleksi yang dilakukan berdasarkan pada kriteria inklusi dan eksklusi, menghasilkan 10 artikel yang memenuhi kriteria dan layak dianalisis. Analisis data dilakukan menggunakan perangkat lunak Jamovi versi 2.0.0, dengan menghitung effect size menggunakan Hedge’s g serta mengevaluasi heterogenitas studi melalui nilai I2 dan bias publikasi uji Egger’s. Hasil menunjukkan bahwa nilai heterogenitas dengan I2 sebesar 65,93% sehingga peneliti menggunakan fixed- effect. Hasil pooled effect size menunjukkan effect size dengan hedge’s g = - 0,144 (95% CI -0,284 - (- 0,004)) dimana artinya memiliki effect size yang kecil (g < 0,2). Terdapat bias publikasi dengan egger bias p = 0,008 (P < 0,05). Dari hasil meta-analisis tersebut dapat disimpulkan bahwa efektivitas dance movement therapy tidak signifikan dalam mengatasi gejala stres. Temuan ini tidak sejalan dengan sebagian besar penelitian sebelumnya dan mengindikasikan adanya bias publikasi akibat kurangnya keberagaman hasil studi yang dianalisis
Development of a Mobile Application Using Convolutional Neural Networks for Recognizing Indonesian Traditional Snacks
Indonesian traditional snacks constitute a vital element of the country’s cultural heritage. However, growing modernization has contributed to a decline in public familiarity, particularly among younger generations. This study presents a mobile-based image classification desigend to automatically recognize Indonesian traditional snacks using convolutional neural networks (CNNs). A dataset of 3,240 images across 16 snack categories was collected using a smartphone camera. Five CNN architectures, which are, AlexNet, EfficientNetV2M, MobileNetV2, ResNet50V2, and VGG19, were evaluated for classification performance. MobileNetV2 achieved the highest accuracy and F1-score, both reaching 100%. The final model was deployed in a mobile application environment, with the backend developed using Flask and integrated into the Android platform. This research work demonstrates the potential of lightweight CNN models in preserving cultural knowledge through accessible mobile technology
Analisis Desain Modular Pada Sofa Untuk Memenuhi Kebutuhan Kucing Dan Pemilik
Penelitian ini bertujuan untuk menganalisis desain sofa yang dapatmemenuhi kebutuhan kucing dan pemiliknya, mengatasi kerusakan sofa akibat cakaran, bulu yang sulit dibersihkan, dan keterbatasan ruang. Metode penelitian yang digunakan adalah wawancara mendalam dengan pemilik kucingyang memiliki sofa, observasi aktivitas kucing dengan sofa. Teknik penggalian data meliputianalisis kebutuhan kucing, preferensi pemilik, dan fitur sofa yang relevan. Hasil penelitian menunjukkan bahwa sofa modular dapat dirancang dengan material yang tahan cakaran, mudah dibersihkan, serta dilengkapi modul penyimpanan untuk mainan dan area bermain kucing. Desain ini memungkinkan pemilik menyesuaikan komponen-komponen sofa sesuai kebutuhan
Assessment of Reactor Efficiency and Yield in Ethylenediamine Synthesis: A Case Study Utilizing Heterogeneous Catalysis
This research focuses on enhancing the production of ethylenediamine (EDA) through the catalytic reaction of
monoethanolamine (MEA) and ammonia (NH₃) in a heterogeneous plug flow reactor (PFR) using Aspen HYSYS simulation. The
process involves a primary reaction converting MEA to EDA and a secondary reaction yielding diethylenetriamine (DETA) as a byproduct. Raney Nickel serves as the catalyst, while key operational parameters—temperature, pressure, and feed ratios—are systematically adjusted to evaluate their impact on yield, selectivity, and conversion efficiency. The study identified optimal conditions for achieving a maximum EDA yield of 94.4% at 150°C, 6000 kPa, and a 14:1 ammonia-to-MEA molar ratio, effectively minimizing byproduct formation. The findings underscore the effectiveness of Aspen HYSYS as a tool for simulating and optimizing complex chemical processes, providing critical insights into reactor design and operational control. Sensitivity analyses reveal increased pressure improves conversion rates, while lower temperatures enhance EDA selectivity over DETA formation. These insights advance the understanding of heterogeneous catalytic processes and offer strategies for improving EDA production efficiency on an industrial scale. In addition to promoting sustainable chemical manufacturing, the results offer practical recommendations for minimizing environmental impact and optimizing process efficiency. Future efforts should prioritize experimental validation, explore alternative catalysts, and investigate innovative reactor designs to further refine and scale up the production of EDA, aligning with industrial and environmental goals
Efficacy of Red Ginger in Reducing the Risk of COVID-19 Severity in COPD Patients: A Review
Chronic obstructive pulmonary disease (COPD) represents a significant global health challenge,
contributing to rising healthcare expenditures and diminished productivity. Patients with COPD
exhibit a higher incidence of coronary ischemia and other risk factors that elevate their suscep-
tibility to complications associated with COVID-19. A robust immune system plays a crucial role
in enhancing the body’s defenses, thereby mitigating the risk of infection and complications
during the COVID-19 pandemic. The potential for utilizing natural therapies in the management
of chronic diseases presents a unique opportunity for Indonesia, a tropical nation rich in diverse
plant species that could serve as herbal remedies. Among these, red ginger (Zingiber officinale
var. rubrum) stands out as one of the most commonly utilized medicinal plants in Indonesia. No-
tably, red ginger possesses superior anti-inflammatory and antioxidant properties compared to
other ginger varieties. The antioxidant and anti-inflammatory benefits of red ginger not only aid
in reducing the severity of COVID-19 but also contribute to the enhancement of lung function.
The preparation of red ginger that has been used in the community is steeping. Therefore, red
ginger has the potential to effectively reduce the risk of COVID-19 severity in COPD patients
with anti-inflammatory and antioxidant effects in reducing NF-κB and the effectiveness of im-
proving lung function
Environmental, social and governance trends in Asian firms: a systematic review and bibliometric analysis using the antecedents-decisions- outcomes–theories-context-methods framework
this study systematically reviews 246 Scopus-indexed articles (2013–2023) on
environmental, social and governance (eSg) practices in asian firms using the
antecedents-decisions-outcomes (aDO)–theories-context-methods (tcM) framework.
this integrative approach—combining aDO with tcM—offers a novel lens to map eSg
research in emerging economies. asian firms operate within unique institutional
contexts marked by family ownership, relational governance and hierarchical
decision-making, distinguishing their eSg adoption from western counterparts. the
study reveals key antecedents such as corporate governance, financial strategies and
technological readiness; eSg decisions are shaped by disclosure practices, stakeholder
engagement and sustainability alignment. Outcomes include financial resilience,
innovation and improved eSg performance. Practical implications highlight the need for
enhanced eSg governance through leadership development, diverse boards and
executive incentives; access to green finance; and adoption of digital technologies such
as artificial intelligence and blockchain. this study contributes a structured synthesis of
eSg adoption in asia and identifies contextual gaps for future research
Mengenal Kejahatan di Bidang Lingkungan Hidup dan Intervensi Hukum Anti Pencucian Uang
Buku ini menyajikan materi mengenai perkembangan terbaru terkait dengan kejahatan di bidang lingkungan hidup, yang sudah sangat mengganggu kehidupan manusia. Kejahatan ini semakin berkembang dan merusak banyak nilai. Salah satunya yang dapat dilakukan adalah dengan melakukan intervensi oleh berbagai aturan hukum yang sudah ada, salah satunya adalah dengan hukum anti pencucian uang. Pelaku kejahatan di bidang lingkungan hidup ini banyak mengambil keuntungan, sehingga harus diintervensi melalui penegakan rezim anti pencucian uang yang selama ini sudah ada
Modulating dioxygenase and hydroperoxide isomerase activities in Burkholderia thailandensis lipoxygenase
Lipoxygenases (LOXs) are enzymes that catalyze the regioselective dioxygenation of polyunsaturated fatty acids (PUFAs), leading to the formation of fatty acid hydroperoxides (FAHPs). In addition to dioxygenase activity, some eukaryotic LOXs exhibit hydroperoxide isomerase (HPI) activity under specific conditions, resulting in the production of structurally diverse compounds such as epoxy alcohols and ketones. Until now, the presence of HPI activity in bacterial LOXs has not been documented. In this study, we investigated the HPI activity of LOX from Burkholderia thailandensis (Bt-LOX) and examined the effects of reaction conditions on its catalytic profile using three different C18 PUFA substrates. The results demonstrated that Bt-LOX exhibits significant HPI activity, especially at high enzyme concentrations, with ketone formation showing strong substrate dependence. Oxygen level was identified as a critical factor in directing the catalytic performance of Bt-LOX: HPI activity was inhibited under O₂-saturated conditions and enhanced under O₂-limited conditions. These findings establish Bt-LOX as the first bacterial LOX reported to exhibit pronounced HPI activity, and highlights its expanded potential for biocatalytic applications