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All Journal Jurnal Penelitian Kesehatan Suara Forikes Jurnal Wiyata : Penelitian Sains dan Kesehatan Jurnal Kesehatan Jurnal Manajemen Informasi Kesehatan Indonesia (JMIKI) Jurnal Pengabdian Masyarakat IPTEKS ARTERI : Jurnal Ilmu Kesehatan Jurnal Aisyah : Jurnal Ilmu Kesehatan J-REMI : Jurnal Rekam Medik dan Informasi Kesehatan Jurnal Rekam Medik & Manajemen Informasi Kesehatan (RAMMIK) Health & Medical Sciences JMMR (Jurnal Medicoeticolegal dan Manajemen Rumah Sakit) International Journal of Healthcare and Information Technology Manajemen Pelayanan Kesehatan SEJAGAT : Jurnal Pengabdian Masyarakat
Rossalina Adi Wijayanti
Politeknik Negeri Jember
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Dentistry Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Health Professions Medicine & Pharmacology Nursing Public Health Social Sciences Veterinary Other

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Development of VANESA (Virtual Assistant Nutritional Care Centre for Education and Consultation) for Diabetes Mellitus Management Novita Nuraini; Rossalina Adi Wijayanti; Riskha Dora Candra Dewi; Andri Permana Wicaksono
International Journal of Healthcare and Information Technology Vol. 3 No. 2 (2026): January
Publisher : P3M Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/ijhitech.v3i2.6706

Abstract

Diabetes Mellitus (DM) remains a significant public health challenge in Indonesia, with rising prevalence and limited access to personalized nutritional care. The Nutrition Care Centre (NCC) at Jember State Polytechnic offers diet consultation and education services but faces constraints in human resources and client reach, with only 23% of visitation targets met since 2021. To address this gap, this study aims to develop VANESA, a virtual assistant powered by artificial intelligence (AI) and QR code technology to provide accessible, efficient, and contextual education and consultation services for DM patients. The system integrates rule-based and AI-based chatbot functionalities to deliver natural language responses regarding DM management, including dietary guidance, physical activity, and basic treatment advice. It also facilitates telehealth consultations, automated registration via QR code, and seamless integration with the existing Electronic Medical Record (EMR) system. Developed using the Waterfall model of SDLC, VANESA is designed to enhance service accessibility, reduce operational costs, and support continuous monitoring of patient nutritional status. Expected outcomes include a web-based admin system, an AI-driven Q&A chatbot, telehealth features, QR-based registration, and an analytics dashboard. This innovation not only supports the Teaching Factory NCC but also serves as a scalable model for digital health interventions in resource-limited settings. Thus, VANESA is a digital health solution that has a direct and applicable impact, is able to increase service efficiency, expand the reach of nutritional interventions, and can be replicated and scaled sustainably in various health facilities, especially in areas with limited resources.
Pendampingan Optimalisasi Manajemen Asuhan Gizi Pasien melalui Penerapan Electronic Mecial Record (EMR) dengan QR Code dan Whatsapp Bot di NCC Rossalina Adi Wijayanti; Riskha Dora Candra Dewi; Novita Nuraini
SEJAGAT : Jurnal Pengabdian Masyarakat Vol. 2 No. 2 (2025): October
Publisher : P3M Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/sejagat.v2i2.6343

Abstract

The Nutrition Care Center (NCC) at Politeknik Negeri Jember (Polije) functions as a Teaching Factory (TEFA), providing comprehensive nutritional assessment, diagnostic services, nutritional counseling, and tailored dietary plans for clients. Health services, including nutrition, necessitate accurate medical records encompassing patient identification, examinations, treatments, interventions, and other pertinent information. However, NCC's manual paper-based medical records system faces challenges. It uses age-based instead of date of birth-based record numbering, lacks standardized nutrition assessment, and lacks disease code classification. This manual system is prone to damage, loss, and demands considerable time and storage space. Since its establishment in November 2021, NCC has seen a steady increase in both internal and external clients. Collaborations with educational institutions, offices, and senior citizen groups have further boosted visits. To enhance efficiency, NCC plans to implement Electronic Medical Records (EMR) with QR Codes and WhatsApp Bots. This approach aims to simplify access to clients' medical histories, allergies, and previous therapies, while also streamlining record retrieval. EMR integration is vital in managing the complexity of nutritional services and supports NCC's mission to provide high-quality care. This initiative aligns with the 2022 Health Department's Research Masterplan and the development of TEFA services. It also reflects the growing trend of using technology, including mobile apps and Artificial Intelligence, in healthcare services. In summary, the increasing number of clients and collaborative screenings with external institutions have led to complex medical records. NCC recognizes the need for a more efficient system and proposes implementation of EMR with QR Codes and WhatsApp Bots to optimize patient care. The project's outcomes will include publications, videos, and improved partner capabilities in EMR usage for patient nutrition care at NCC.
Analisis Pengelolaan Rekam Medis Rawat Jalan pada Bagian Filing di Puskesmas Tempeh Dianisa Ufairoh Nota Salsabilla; Atma Deharja; Rossalina Adi Wijayanti; Veronika Vestine
Jurnal Rekam Medik & Manajemen Informasi Kesehatan Vol. 2 No. 1 (2023): April
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/rmik.v2i1.1901

Abstract

Pengelolaan rekam medis rawat jalan di Puskesmas Tempeh Kabupaten Lumajang masih memiliki beberapa permasalahan dengan persentase tertinggi pada bulan Juli, Agustus, dan September tahun 2022 mencapai 1,41% pada permasalahan ketidaklengkapan pengisian rekam medis. Tujuan dari penelitian ini yaitu menganalisis pengelolaan rekam medis rawat jalan pada bagian filing di Puskesmas Tempeh Kabupaten Lumajang berdasarkan faktor motivation, opportunity, dan ability. Jenis penelitian yang digunakan yaitu penelitian kualitatif dengan teknik pengumpulan data wawancara mendalam, observasi, dokumentasi, serta brainstorming. Hasil yang didapatkan dalam penelitian yaitu faktor motivation yaitu reward dan punishment telah terlaksana dengan baik. Faktor opportunity yaitu belum tersedianya SOP, kurangnya jumlah petugas, belum tercukupinya waktu, serta peralatan yang kurang memadai. Faktor ability yaitu pengetahuan petugas sudah memadai meskipun tidak semua petugas mempunyai latar belakang pendidikan rekam medis, serta belum pernahnya petugas mengikuti pelatihan. Upaya perbaikan yang ditetapkan untuk mengatasi permasalahan tersebut antara lain pembuatan SOP, penggeseran karyawan dari unit lain ke bagian rekam medis, pengoptimalan jam kerja, pengajuan perluasan ruangan dan penambahan rak penyimpanan, pembuatan buku ekspedisi, serta pemberian pelatihan terhadap petugas rekam medik
Forecasting Kasus Pneumonia Untuk Kebutuhan Tempat Tidur Menggunakan Metode Triple Exponential Smooting Dani Setiawan; Efri Tri Ardianto; Bakhtiyar Hadi Prakoso; Rossalina Adi Wijayanti
Jurnal Rekam Medik & Manajemen Informasi Kesehatan Vol. 3 No. 1 (2024): April
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/rmik.v3i1.1906

Abstract

Pneumonia is one of the leading causes of death in the world, including Indonesia. This case is also included in the top 10 inpatient diseases at Kaliwates General Hospital, Jember Regency, and the number continues to increase from 2018 to 2022. The purpose of this study is to predict the need for hospital beds in pneumonia patients and reduce the number of hospitalized patients. This study is a quantitative descriptive study that studies the daily population survey of inpatients at Kaliwates General Hospital. The data collection technique used is documentation. The results of the study show that the days of pneumonia case care every year from 2018-2022 tend to increase and decrease repeatedly. The results of the calculation of the estimated value from actual or predicted data show that the fitted value follows the actual data pattern. In addition, the addition of beds is quite a lot needed for pneumonia cases. The suggestion that can be proposed by the researcher is that Kaliwates General Hospital is expected to be able to analyze patient care days by predicting care days in order to find out the need for beds as a reference in making decisions regarding determining bed capacity. The hospital should also plan bed needs by relocating beds from several inpatient rooms with low disease accuracy.
Perancangan Dan Pembuatan Sistem Peminjaman Dan Pengembalian Dokumen Rekam Medis Berbasis Website Di Rumah Sakit Gigi dan Mulut Universitas Jember Wiranti Angelina Tabi; Bakhtiyar Hadi Prakoso; Rossalina Adi Wijayanti; Andri Permana Wicaksono
Jurnal Rekam Medik & Manajemen Informasi Kesehatan Vol. 3 No. 1 (2024): April
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/rmik.v3i1.1907

Abstract

The process of borrowing and returning medical record documents at the Dental and Oral Hospital of the University of Jember is currently carried out manually using an expedition book. The absence of a tracer as a tool to track medical records makes it difficult for staff to locate borrowed documents, leading to misplaced documents in the filing racks. There are issues with late returns from clinics, which do not comply with the standard operating procedures for medical record document storage at the Dental and Oral Hospital of the University of Jember, and there is no record of these delays, resulting in a lack of problem documentation. The researcher aims to design and develop a web-based medical record borrowing and returning information system at the Dental and Oral Hospital of the University of Jember. The researcher used the waterfall development method, with data collection techniques including interviews, observations, documentation, and brainstorming. The results of the study show that the developed information system has several advantages, such as medical record barcode printing features, medical record tracers, and WhatsApp notifications as reminders for overdue medical record returns.
Analisis Kepuasan Pengguna Sistem VANESA Menggunakan Technology Acceptance Model (TAM) Novita Nuraini; Rossalina Adi Wijayanti; Andri Permana Wicaksono; Niyalatul Muna
Jurnal Kesehatan Vol 14 No 1 (2026): April
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-kes.v14i1.689

Abstract

The development of digital technology has driven innovation in the provision of nutrition education and consultation services, one of which is through the implementation of the VANESA (Virtual Assistant Nutritional Care Center for Education and Consultation) system. This study aims to analyze user satisfaction with the VANESA system using the Technology Acceptance Model (TAM) approach, which emphasizes two main variables, namely perceived usefulness and perceived ease of use, as the main determinants of technology acceptance. This study uses a quantitative method with a survey approach to active VANESA users. Data was analyzed using regression analysis techniques and validity tests to examine the relationship between variables in the TAM model and the level of user satisfaction. The results show that both perceptions of usefulness and ease of use have a positive and significant influence on user attitudes, which in turn impacts their satisfaction with the use of the VANESA system. These findings indicate that increasing the functionality and ease of access of the system will strengthen user acceptance. This study provides important implications for the development of digital healthcare systems, particularly in designing virtual assistants that are adaptive to user needs and based on user experience.Keywords: nutrition education, satisfaction, TAM, VANESA
Co-Authors Adelia Nuranisah Suyuti Aghasi Hana Faradila Agni Candramawa Sholikha Ain Azzam Izulhaq Alfiansyah, Gamasiano Alvira Nafisah Eky Mulia Andri Permana Wicaksono Angga Rahagiyanto Anggun Citta Isvara Maharesi Putri Ani Nuraini Aprillia Maya Puspitasari Ariqpurna Bayu Triatmaja Arisanty Nursetia Restuti Arya Yuniar Putra Pratama Astrid Kartika Dewi Aprilia Atma Deharja Atma Deharja Ayu Imelda Rosita Azis, Anisya Bakhtiar Hadi Prakoso Bakhtiyar Hadi Prakoso Bramanti Isman Patty Dahlia Indah Amareta, Dahlia Indah Dani Setiawan Demiawan Rachmatta Putro Mudiono Desnia Sindi Damayani Dewi Risdayanti Dianisa Ufairoh Nota Salsabilla dony setiawan hendyca putra Dwi Lestari Dwi Winda Agustin Efri Tri Ardianto Errica Rostia Loren Esa Amanda Setiawan Eva Tri Wicahyanti Feby Erawantini Ferly Ferly Fikhy Rizky H Fikhy Rizky Hapsari Gamasiano Alfiansyah Gamasiano Alfiansyah Gamasiano Alfiansyah Gandu Eko Julianto Suyoso Gilang Nur Permana Gilang Nur Permana Gilang Nur Permana Haris Hammaminata Harnis Tika Sukma Hendra Lexmana Hikmah, Faiqatul Hikmatus Surur Hilda Melina Putri Pangestu Ika Rahmadhani Indah Muflihatin Jackly Parulian Jamil, Nur Malika Juwinda Indriyani Khofifah Nur’Aini Kurnia Candra Septianingrum Lidya Nur Fatimatuz Zuhro Listiyawati Sahir Liza Amalia Putri Lutfiatun Nadibah Herman M. Mubarot Isa Maria Goreti Riski Wulandari Maya Weka Santi Maya Weka Santi Maya Weka Santi Melati Ayu Pratiwi Mochammad Choirur Roziqin Mudafiq Riyan Pratama Mudafiq Ryan Pratama Muhammad Yunus Nabiilah Qurrota A'yun Nabilah Khoirun Nissa' Nada Aprilika Putri Wahyudi Nafa Maharani Nanda Purnagiri Agatha Narita Dwiyana Nashrul Kholiqir Rohman Nikmatun Nikmatun Niyalatul Muna Nonik Aisyah Rohman Novita Nuraini Novita Nuraini Novita Yuken Nur Aulia Nur Aprilia Setyoyuni Nur Suci Ramdhani nurmawati, ida Nurul Kamilia Puji Riyanto Rachmawati, Ervina Rintan Illahi Wahyu Riskha Dora Candra Dewi Rizky Putri Amalia Rizqiyah Putri Qoriatul Alifa Rowinda Dwi Kurniawati Sabran Sabran Selvia Juwita Swari Selvia Juwita Swari Selviyanti, Erna Sholikhatin Eka Prasetia Siti Alifa Lufianti Siti Wafiroh Suparmin Suparmin Sustin Farlinda Syahbaniar, Desi Tias Agustin Ayuningrum Veronika Vestine Virda Hardiana Widiyanto Widiyanto Wiranti Angelina Tabi Yulianti, Adhiningsih