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All Journal Jurnal Sistem dan Informatika RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) ARRUS Journal of Engineering and Technology Eduvest - Journal of Universal Studies
I Gusti Agung Ayu Sekarini
Institut Teknologi Dan Bisnis STIKOM Bali
Aerospace Engineering Computer Science & IT Dentistry Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Neuroscience Public Health Social Sciences

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Audit Sistem Electronic Medical Records (EMR) pada RSU Kasih Ibu menggunakan Framework COBIT 5 I Gusti Agung Ayu Sekarini; I Made Candiasa; Kadek Yota Ernanda Aryanto
Jurnal Sistem dan Informatika (JSI) Vol 15 No 2 (2021): Jurnal Sistem dan Informatika (JSI)
Publisher : Direktorat Penelitian,Pengabdian Masyarakat dan HKI - Institut Teknologi dan Bisnis (ITB) STIKOM Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30864/jsi.v15i2.362

Abstract

RSU Kasih Ibu mengimplementasikan sebuah sistem Electronic Medical Record (EMR) Vesalius, manum dalam implementasinya muncul permasalahan yang menyebabkan terganggunya proses pelayanan seperti permasalahan human error, sytem error dan permasalahan lainya. Audit sistem Vesalius dengan menggunakan COBIT 5 bertujuan untuk mengukur kinerja sumber daya TI dan tata kelola sistem Vesalius dalam mengatasi permasalahan yang terjadi. Hasil tingkat kapabilitas saat ini diperoleh berada pada level 4 yaitu predictable process yaitu Ensure Resource Optimasation memiliki persentase 63% yaitu berada pada largely achieved, Manage the IT Management Framework memiliki persentase 56% yaitu berada pada largely achieved, dan Manage Human Resources memiliki persentase 54% yaitu berada pada largely achieved. Tingkat kapabilitas yang diharapkan pada sistem Vesalius yaitu berada pada level 5 (optimizing process) yang didapatkan dari hasil wawancara. Berdasarkan hasil tersebut menunjukan bahwa terdapat kesenjangan antara tingkat kapabilitas saat ini dengan yang diharapkan. Oleh karena itu dilakukan analisis kesenjangan yang memperoleh nilai kesenjangan yaitu jarak sebesar 1 level pada domaian proses Ensure Resource Optimasation, Manage the IT Management Framework, Manage Human Resources, sedangkan terdapat jarak sebesar 2 level pada domain proses Manage Knowledge dan Manage Operation. Hasil analisis kensenjangan tersebut digunakan sebagai acuan untuk menyusun rekomendasi perbaikan tata kelola sistem Vesalius pada RSU Kasih Ibu untuk mencapai capability level yang diharapkan.
Aplikasi Informasi Kunjungan Harian Pasien pada Rumah Sakit Swasta Kota Denpasar Menggunakan Framework Laravel I Gusti Agung Ayu Sekarini; Anak Agung Sandatya Widhiyanti
Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Vol 22, No 2 (2023): Agustus 2023
Publisher : PRPM STMIK TRIGUNA DHARMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jis.v22i2.8627

Abstract

Teknologi telah berperan penting dalam berbagai bidang, termasuk kesehatan, di mana rumah sakit memberikan pelayanan kesehatan berkualitas dan lengkap. Peningkatan jumlah rumah sakit selama sepuluh tahun terakhir menunjukkan persaingan global di antara rumah sakit, sehingga diperlukan peningkatan kualitas pelayanan kesehatan. Kualitas pelayanan kesehatan di rumah sakit dipengaruhi oleh kepuasan pasien, yang dapat diukur dari jumlah kunjungan harian pasien. Namun, rekapan data kunjungan pasien masih dilakukan secara manual di beberapa rumah sakit, termasuk di sebuah rumah sakit swasta di Denpasar. Hal ini menimbulkan beberapa masalah, seperti kesulitan dalam merekap data dan meningkatkan risiko kesalahan staf. Oleh karena itu, peneliti merencanakan untuk membangun sebuah aplikasi berbasis web untuk mempermudah manajemen rumah sakit dalam memonitoring jumlah kunjungan pasien untuk evaluasi peningkatan kualitas pelayanan. Aplikasi ini akan dibangun menggunakan Framework Laravel. Metode pengembangan aplikasi menggunakan model waterfall. Diharapkan dengan aplikasi ini dapat membantu manajemen rumah sakit dalam melakukan pelaporan kepada dinas kesehatan serta memonitoring jumlah kunjungan harian sehingga bisa dimanfaatkan untuk kebutuhan bisnis dari rumah sakit dalam melakukan pengambilan keputusan bahkan melakukan inovasi bisnis untuk meningkatkan kualitas pelayanan di rumah sakit. 
Pengelolaan Keuangan Bisnis Modern Melalui Digitalisasi bagi Kelompok Pengrajin Keris Blahbatuh,Kabupaten Gianyar Bali I Nyoman Sutapa; A A Istri Krisna Gangga Dewi; I Gusti Agung Ayu Sekarini
JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Vol 4 No 3 (2023)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/jurpikat.v4i3.1490

Abstract

Tujuan pengabdian masyarakat ini adalah untuk meningkatkan kemampuan kelompok pengerajin keris Blahbatuh dalam mengelola keuangan bisnis berbasis digital. Metode pelaksanakan pengabdian ini menggunakan workshop, pendampingan, dan bimbingan teknis. Mitra pengabdian ini adalah kelompok pengrajin keris Nami Pusaka di kecamatan Blahbatuh, Kabupaten Gianyar, Bali. Metode pelaksanakan pengabdian ini menggunakan workshop, pendampingan, dan bimbingan teknis. Instrumen evaluasi kegiatan ini menggunakan pre-test dan post-test yang selanjutnya dinanalisis secara deskriptif. Hasil pengabdian ini menunjukkan bahwa kelompok pengerajin keris Blahbatuh mengalami peningkatan dalam hal pencatatan keuangan sebesar 58%, terkait digital marketing sebesar 52%, dan terkait sistem informasi sebesar 47%. Mitra dalam kegiatan pengabdian ini berperan dari tahap perencanaan, pelaksanaan dan ditahap evaluasi. Alat investasi untuk mitra diberikan berupa alat penunjang kegiatan produksi dan alat untuk mengelola keuangan.
Enhancing Customer Interaction with Chatbot in Digital Marketing for Traditional Balinese Food Sellers Anak Agung, Sandatya Widhiyanti; I Gusti Agung Ayu Sekarini
ARRUS Journal of Engineering and Technology Vol. 4 No. 2 (2024)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/jetech3296

Abstract

This research explores the potential of chatbot to enhance interactions between consumers and traditional Balinese food sellers. Besides that, this research promotes Balinese specialties, improves customer experience, and supports local tourism by increasing accessibility to information. Research methods include literature review, surveys, data collection, prototype development, implementation, and result analysis. The Bakul BOT application was developed, and testing involved Black Box Testing for functionality and the System Usability Scale (SUS) for user satisfaction. Test results showed all features worked as expected, with an average SUS score of 83, placing Bakul BOT in grade A, categorized as "Excellent." The Net Promoter Score (NPS) classified the app as a "Promoter," indicating high user satisfaction and recommendation likelihood. Overall, Bakul BOT is user-friendly and well-received, especially regarding its functionality and features.
Development of FAQ Chatbot for Digitization of Warung Gungbiang Marketing in Bali Anak Agung Sandatya Widhiyanti; I Gusti Agung Ayu Sekarini
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.v5i8.51009

Abstract

This research aims to develop a chatbot based on frequently ask question to support more modern digital marketing strategies. Research methods include problem identification, interviews, observation, literature study, designing, developing and testing chatbots. The chatbot was designed using a rule-based approach and developed with PHP and JavaScript technology. Testing involves Blackbox methods to ensure functionality and User Acceptance Testing (UAT) with a Likert scale to evaluate user satisfaction. Blackbox testing shows that the chatbot functionality has succeeded in providing fast and accurate responses to various customer questions regarding products, prices and ordering methods, while in UAT testing, the design, service and efficiency aspects of the chatbot received a score of "very good" with an average percentage above 80%. The implementation of this chatbot is able to increase information accessibility and customer convenience, while also supporting the digitalization of Warung Gungbiang's marketing.
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.
Co-Authors Anak Agung Istri Krisna Gangga Dewi I Made Candiasa I Nyoman Sutapa Kadek Yota Ernanda Aryanto Ni Made Rai Masita Dewi Widhiyanti, Anak Agung Sandatya