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All Journal Journal of Pharmaceutical and Sciences. Journal of Advanced Health Informatics Research The Journal General Health and Pharmaceutical Sciences Research Jurnal Multidisiplin Pengabdian Masyarakat (JMPM)
Melani, Reina
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Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Education Engineering Health Professions Immunology & microbiology Library & Information Science Materials Science & Nanotechnology Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Enhancing Paediatric Diabetes Management: How Artificial Intelligence is Revolutionising Care Melani, Reina; Samodra, Galih; Al-Hakim, Rosyid
The Journal General Health and Pharmaceutical Sciences Research Vol. 2 No. 2 (2024): June : The Journal General Health and Pharmaceutical Sciences Research
Publisher : LPPM STIKES KESETIAKAWANAN SOSIAL INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57213/tjghpsr.v2i2.378

Abstract

Artificial intelligence (AI) is transforming paediatric diabetes management, offering innovative solutions for monitoring, treatment, and prediction. This mini-review explores how AI is being utilised to improve the care of children with diabetes mellitus, focusing on its application in glucose monitoring systems, predictive algorithms, and personalised treatment plans. The study synthesises recent advancements in AI technologies, examining their impact on enhancing the accuracy of diagnosis, reducing the burden on healthcare providers, and improving patient outcomes. Through a systematic review of the literature, key AI tools and models that have shown promise in paediatric diabetes care are identified. The findings highlight the potential of AI to revolutionise diabetes management, with implications for both clinical practice and future research. However, challenges remain in ensuring the ethical implementation and integration of these technologies into existing healthcare systems. The paper concludes with recommendations for advancing AI applications in this field, emphasising the need for continued innovation and collaboration between healthcare professionals and AI developers.
Effectiveness of Cream Preparations Combination of Bay Leaf Extract (Syzygium polyanthum Wight) and Papaya Leaf (Carica Papaya L) as Anti-Inflammation Samodra, Galih; Kusuma, Ikhwan Yudha; Melani, Reina
Journal of Advanced Health Informatics Research Vol. 1 No. 2 (2023)
Publisher : Peneliti Teknologi Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59247/jahir.v1i2.37

Abstract

Bay leaves (Sygyzium polyanthum Wight) and papaya leaves (Carica papaya L) are plants that have anti-inflammatory activity due to their flavonoid compounds. The purpose of this study was to determine the formulation of bay leaf and papaya leaf extracts into cream preparations. The treatment group consisted of 4 groups. The first group is the positive control (voltarene), the second group is the negative control (1% carrageenan). The third group was the group that was given the combination cream treatment of bay leaf and papaya leaf extract formula 2 and the fourth group was the group that was given the cream treatment combination of bay leaf and papaya leaf extract formula 3. The anti-inflammatory test was carried out based on observations for six hours by looking at edema volume and edema percentage. LSD test results showed that the cream formula 2 treatment (anionic) and the cream formula 3 treatment (nonionic) showed a significant difference with the negative control with a significance value of 0.000 (p <0.05). This shows that formula 2 cream treatment (anionic) and formula 3 cream treatment (nonionic) can potentially reduce edema volume and can inhibit edema on the soles of rats induced with carrageenin
Strategi Efektif Penjaringan dan Penyaringan Perangkat Desa (P3D) di Kecamatan Lumbir: Kolaborasi Akademisi dan Masyarakat Al-Hakim, Rosyid; Ardianto, Rian; Suryani, Riska; Jayusman, Hadi; Nisa, Khoirun; Samodra, Galih; Melani, Reina; Sebayang, Septian; Pangestu, Agung
Jurnal Arba - Multidisiplin Pengabdian Masyarakat Vol. 2 No. 1 (2025): Februari
Publisher : Jurnal Arba - Multidisiplin Pengabdian Masyarakat

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Abstract

Program Penjaringan dan Penyaringan Perangkat Desa (P3D) di dua desa yang berada di Kec. Lumbir bertujuan untuk meningkatkan transparansi dan kualitas seleksi perangkat desa melalui inovasi berbasis teknologi. Program ini melibatkan 46 pendaftar, 21 anggota tim panitia, serta dukungan dari pemerintah desa, kecamatan, dan unsur keamanan. Inovasi utama dalam program ini adalah penerapan sistem Computer Based Test (CBT) dengan fitur live scoring, yang mencakup tiga aspek penilaian: ujian tulis (40%), praktik pengoperasian komputer (30%), dan wawancara kompetensi (30%). Hasil program menunjukkan tingkat keberhasilan sebesar 90%, yang mencerminkan efektivitas metode seleksi yang diterapkan. Kolaborasi multi-stakeholder dan penggunaan fasilitas laboratorium komputer universitas menjadi faktor kunci keberhasilan program ini. Namun, beberapa tantangan seperti adaptasi peserta terhadap sistem CBT dan koordinasi antar pemangku kepentingan berhasil diatasi melalui pelatihan dan penguatan komunikasi digital. Program ini menghasilkan template sistem seleksi digital yang dapat di replikasi di desa lain, peningkatan kapasitas panitia lokal, dan dokumentasi SOP (Standard Operational Procedure) yang terstandar. Rekomendasi untuk pengembangan program meliputi peningkatan kapasitas SDM (Sumber Daya Manusia), pengembangan sistem evaluasi, dan replikasi program di desa lain. Program ini diharapkan menjadi model inovatif dalam rekrutmen perangkat desa yang lebih transparan dan profesional.
Analisis penggunaan antidiabetik dan antihipertensi pada pasien diabetes komorbid hipertensi di Puskesmas Mrebet Melani, Reina; Kurniasih, Khamdiyah Indah; Fauziah, Fauziah
Journal of Pharmaceutical and Sciences Suppl. 1, No. 1 (2023)
Publisher : Fakultas Farmasi Universitas Tjut Nyak Dhien

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36490/journal-jps.com.v6i5-si.382

Abstract

Diabetes Mellitus (DM) is a chronic disease characterised by high blood sugar levels. Diabetes mellitus is considered the "mother disease" because it is the mother of various diseases such as hypertension, heart disease, stroke, kidney failure and blindness. There were 13,117 DM cases in Purbalingga Regency, and 14,035 people were provided services according to procedures. Increased blood glucose levels (hyperglycemia) cause intravascular fluid resistance, which results in an increase in body fluid volume and an increase in peripheral arterial resistance. These two conditions are the basis for hypertension. There is a need for appropriate antidiabetic therapy to treat hypertension comorbid DM disorders. This research was conducted at the Mrebet Community Health Center, Purbalingga Regency, where the results obtained were 55 data on the use of prolanis medication for DM comorbid hypertension patients. In this study, the most common single therapy was metformin (12.7%), then the two most common combinations were glimepiride and acarbose (41.8%), while the three combinations used were metformin, glimepiride and acarbose (12.7%). The most common single antihypertensive was Lisinopril (28.2%), and the most common combination was Lisinopril + Amlodipine (28.2%).
Co-Authors Agung Pangestu Al-Hakim, Rosyid Ardianto, Rian Fauziah Fauziah Jayusman, Hadi Khoirun Nisa Kurniasih, Khamdiyah Indah Kusuma, Ikhwan Yudha Samodra, Galih Sebayang, Septian Suryani, Riska