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Dashboard Application For Monitoring Patient Data In Hospitals I Gusti Agung Ayu Sekarini; Anak Agung Sandatya Widhiyanti; Ni Made Rai Masita Dewi
Eduvest - Journal of Universal Studies Vol. 5 No. 8 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i8.51010

Abstract

In the increasingly advanced digital era, the healthcare sector faces significant challenges in effectively managing patient visit data. Monitoring patient visits, both inpatient and outpatient, is a crucial aspect of hospital management. This study aims to develop a dashboard application that can monitor inpatient and outpatient visit data in real-time and in an integrated manner at hospitals in Gianyar City. The problems faced include data inaccuracies, delays in decision-making, and lack of data integration from various sources. The research methods used include needs analysis through interviews and surveys, system design with architecture and prototype design, application development using the waterfall method, as well as testing using blackbox testing and application performance evaluation using usability testing. This application is designed to collect data from various sources, integrate it, and present it in an easily understandable visual form. The results of the study show that this dashboard application can improve the efficiency and accuracy of managing patient visit data, as well as support faster and more accurate decision-making. The conclusion of this study is that the developed dashboard application can help hospitals manage patient visit data more effectively, thereby improving the quality of healthcare services.
PERBANDINGAN KINERJA NAÏVE BAYES DAN SVM PADA ULASAN KULINER BALI DENGAN SLANG CODE-MIXING Anak Agung Sandatya Widhiyanti; I Gusti Agung Ayu Sekarini
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 11 No 1 (2026): Januari
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v11i1.7473

Abstract

Online reviews have become a primary source for consumers in evaluating the quality of products and services, including in Bali’s culinary sector. However, these reviews are typically written in informal language, containing slang, non-standard expressions, and code-mixing between Indonesian, English, and local languages. Such linguistic characteristics pose challenges for sentiment analysis systems, as language variability can reduce the consistency and reliability of classification results. This study compares the performance of two machine learning methods, namely Naïve Bayes and Support Vector Machine (SVM), in classifying sentiment from unstructured Balinese culinary reviews. The dataset consists of 5,000 Google Reviews, which were processed through text cleaning, slang normalization, and TF-IDF feature representation using a combination of unigram and bigram models. Performance was evaluated using accuracy, precision, recall, F1-score, and 5-fold cross-validation to assess model stability. Naïve Bayes was employed as a baseline to enable a more objective comparison between the two methods. The experimental results indicate that SVM achieves more balanced and consistent performance than Naïve Bayes, particularly for minority classes. Naïve Bayes tends to be biased toward the majority class due to its independence assumption and the imbalanced data distribution. Furthermore, the preprocessing stage, especially slang normalization, contributes to reducing lexical variability and improving the interpretability of sentiment patterns. These findings suggest that appropriate classifier selection and tailored preprocessing strategies play a crucial role in maintaining the reliability of sentiment analysis systems in informal and multilingual contexts.
Implementasi Branding, Packaging dan Digital Marketing Produk UMKM Sari Yoga Sekarini, I Gusti Agung Ayu; Widhiyanti, Anak Agung Sandatya; Meliana, Ni Komang Gita
Jurnal Pustaka Mitra (Pusat Akses Kajian Mengabdi Terhadap Masyarakat) Vol 5 No 3 (2025): Jurnal Pustaka Mitra (Pusat Akses Kajian Mengabdi Terhadap Masyarakat)
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakamitra.v5i3.924

Abstract

Pelestarian makanan tradisional Bali merupakan upaya penting dalam menjaga keberagaman budaya dan mendukung perekonomian lokal. Penelitian ini bertujuan untuk meningkatkan nilai tambah produk jajanan tradisional Bali melalui pengembangan branding dan pemasaran digital. Studi kasus dilakukan pada usaha Sari Yoga di Kabupaten Gianyar yang memproduksi berbagai jenis jajanan tradisional. Hasil wawancara menunjukkan adanya beberapa kendala yang dihadapi, seperti kurangnya identitas merek, kemasan yang sederhana, dan minimnya promosi digital.Untuk mengatasi permasalahan tersebut upaya yang dilakukan berupa pengembangan logo usaha, desain kemasan yang menarik, serta pembuatan akun media sosial. Diharapkan melalui kegiatan ini, jajanan tradisional Bali dapat lebih dikenal oleh masyarakat luas, terutama generasi muda. Selain itu, penelitian ini juga diharapkan dapat memberikan kontribusi pada pengembangan ilmu pengetahuan dalam bidang pemasaran dan kewirausahaan serta perkembangan teknologi informasi yang dapat menjadi strategi pemasaran sehingga dapat menjangkau wilayah yang sangat luas dengan cara promosi online. Metode yang digunakan adalah memberikan materi dengan ceramah dan pelatihan membuat promosi online pada sosial media instagram. Hal tersebut tentunya akan berdampak pada peningkatan jumlah penjualan pada mitra usaha yang semula hanya konventional menjadi siap bersaing secara online. Hasil dari kegiatan ini adalah promosi online pada sosial media instagram.