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All Journal Lumbung Inovasi: Jurnal Pengabdian Kepada Masyarakat Jikom: Jurnal Informatika dan Komputer
Mufti Syawaludin
STMIK AMIKOM Yogyakarta
Humanities Computer Science & IT Education Environmental Science Social Sciences

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Display Inovasi Produk Holistik Dalam Penerapan Kewirausahaan Keperawatan Berbasis Bukti Firmanti, Tria Anisa; Putri, Novita Surya; Wilujeng, Atik Pramesti; Syahbana, Ali; Supriyanto, Supriyanto; Satrianto, Anang; Rachmawan, Ivan; Syawaludin, Mufti
Lumbung Inovasi: Jurnal Pengabdian kepada Masyarakat Vol. 9 No. 2 (2024): June
Publisher : Lembaga Penelitian dan Pemberdayaan Masyarakat (LITPAM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/linov.v9i2.1836

Abstract

Meningkatnya kebutuhan masyarakat pada produk kesehatan belum diikuti dengan peningkatan inovasi produk kesehatan, perkembangan ilmu pengetahuan tidak diimbangi dengan pemanfaatan hasil penelitian untuk dijadikan dasar dalam pembuatan produk kesehatan yang dapat dijangkau dan dibuat sendiri oleh masyarakat. Kurangnya informasi terkait manfaan bahan alami untuk pembuatan produk kesehatan belum optimal pelaksanaannya. Tujuan: pengabdian masyarakat bertujuan meningkatkan minat masyarakat pada produk kesehatan berbahan alami berdasarkan bukti ilmiah. Metode: pengabdian masyarakat ini menggunakan metode display dengan mengenalkan produk kesehatan berbasis bukti secara visual dapat dilihat dan dirasakan langsung. Hasil: Pengabdian masyarakat dikunjungi oleh 68 civitas akademika STIKES Banyuwangi, sebelum display menunjukkan minat masyarakat 26% kurang dan 74% cukup,  setelah display minat masyarakat 12% cukup dan 88 % baik. Terdapat peningkatan minat masyarakat setelah dilakukan display produk inovasi holistic berbasis bukti. Pengabdian masyarakat dilaksanakan sesuai target dan dapat dgunakan sebagai acuan pelaksaan pengabdian masyarakat dengat tema yang sama dengan kerjasama BPPOM untuk menghasilkan produk kesehatan yang tersertifikasi. Kata Kunci: display, minat konsumen Holistic Product Innovation Display in Implementing Evidence-Based Nursing Entrepreneurship Abstract The increasing public need for health products has not been accompanied by an increase in health product innovation, the development of science has not been balanced with the use of research results as a basis for making health products that can be accessed and created by the public. Lack of information regarding the benefits of natural ingredients for making health products has not been implemented optimally. Objective: community service aims to increase public interest in health products made from natural ingredients based on scientific evidence. Method: This community service uses a display method by introducing evidence-based health products visually that can be seen and felt directly. Results: The community service was visited by 68 STIKES Banyuwangi academics before the display showed community interest was 26% poor and 74% sufficient, after the display community interest was 12% adequate and 88% good. There was an increase in public interest after displaying holistic, evidence-based innovation products. Community service is carried out according to targets and can be used as a reference for implementing community service with the same theme as BPPOM collaboration to produce certified health products.
Perancangan Sistem Pakar Prediksi Diagnosis Penyakit Diabetes Menggunakan Algoritma Naive Bayes Berbasis Web Syawaludin, Mufti; Khulaimi, Muhammad
Jurnal Informatika dan Komputer Vol 15 No 1 (2025): April
Publisher : Sekolah Tinggi Ilmu Komputer PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55794/jikom.v15i1.280

Abstract

Diabetes mellitus is a metabolic disease with increasing prevalence worldwide, including in Indonesia. Early detection and accurate diagnosis are crucial to prevent serious complications. This research aims to design a web-based expert system using the Naive Bayes algorithm to predict the diagnosis of diabetes. The Naive Bayes algorithm was chosen for its ability to process data quickly and produce accurate predictions despite its simple assumptions. The research method used is the Waterfall method, which includes the stages of analysis, design, coding, testing, implementation, and maintenance. This system is designed to assist the public in detecting the risk of diabetes based on entered symptoms and medical data. The evaluation results of the expert system for diagnosing diabetes by applying the Naive Bayes algorithm through testing on 35 patient datasets showed results consistent with the level of expertise obtained from whitebox and blackbox system testing. This system is expected to be an effective tool for medical professionals and the general public in making early diagnoses of diabetes. The conclusion of this research is that a Naive Bayes-based expert system can provide accurate and fast predictions, thereby improving the quality of healthcare services.
Co-Authors Ali Syahbana Atik Pramesti Wilujeng, Atik Pramesti Firmanti, Tria Anisa Muhammad Khulaimi Putri, Novita Surya Rachmawan, Ivan Satrianto, Anang Supriyanto Supriyanto