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All Journal Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Sewagati
Sabilla, Shoffi Izza
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Arts Humanities Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Public Health Social Sciences Other

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Leveraging Text-Mining Techniques On Electronic Medical Records to Analyze National Drug-insured Medication Use Wibawa, Adhi Dharma; Ramadhani, Prio Adi; Buntoro, Ghulam Asrofi; Hariadi, Ridho Rahman; Siswanto, Putri Alief; Sabilla, Shoffi Izza
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 8, No. 2, May 2023
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v8i2.1695

Abstract

Processing electronic medical record (EMR) data has become a common practice among scientists for extracting valuable insights and studying diseases. Given the large volumes of text data in EMRs, efficient computerized text-mining techniques are necessary. As academics, we recognize that drug-used analysis from EMR data in Indonesia is currently limited. This study focuses on obtaining meaningful insights from EMR data to make positive recommendations for hospitals. The proposed method uses pattern-based Regular Expressions (regex) to extract drug names and a Levenshtein distance algorithm to check their compatibility. We developed the pattern based on analyzing Indonesia EMR data. The extracted drug names were compared to a list of selected drugs (National Drug-Insured/Fornas) that are required and must be provided at healthcare facilities in Indonesia. The Levenshtein distance threshold was set to two to decide whether the extracted drug names belonged to nationally drug-insured or not. Only about 11.09 – 16.11% of medications given by doctors are listed in the Fornas drug list. Between 2019 and 2021, there was an inaccuracy in the writing of prescriptions for Fornas drugs, with as many as 57.53% to 63.21% of drug names being written incorrectly. The results of this study indicate that the Levenshtein distance algorithm has promising potential for implementation in the Ministry of Health of Indonesia, with a precision rate of 97.07%.
Penerapan Sistem Otomatisasi Hidroponik Tanaman Obat Keluarga untuk Mendukung Kedokteran Pencegahan di Kelurahan Sidorejo, Tuban Mukhairiq, Gusfatul; Wibawa, Adhi Dharma; Sabilla, Shoffi Izza; Jafari, Nadya Paramitha; Syaifudin, Achmad; Kuswanto, Djoko; Arifianto, Dhany; Mubarok, Fahmi; Pamungkas, Yuri; Siswanto, Putri Alief; Tawakkal, Raihan Achmad; Nur, R. Rossa Alfi; Arjunnaja, Moch.; Midzkar, Wuli Silan; Aisar, Muhammad; Prawesti, Indyra Yudha; Ahmadinejad, Iqbal; Kamil, Ihtifazhuddin Fathul; Risaldi, Randi Achtiar; Rais, Bryan
Sewagati Vol 10 No 1 (2026): Pre-Printed
Publisher : Pusat Publikasi ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j26139960.v10i1.9410

Abstract

Masalah kesehatan di komunitas perkotaan dan semi-perkotaan, seperti di Desa Sidorejo, Kabupaten Tuban, menunjukkan peningkatan penyakit tidak menular seperti hipertensi dan diabetes mellitus. Gaya hidup tidak sehat, pola makan yang buruk, dan rendahnya kesadaran akan pencegahan penyakit merupakan penyebab utamanya. Faktanya, Indonesia memiliki potensi tanaman obat (TOGA) yang secara ilmiah terbukti bermanfaat dalam pengelolaan kesehatan. Sayangnya, keterampilan masyarakat dalam menanam TOGA masih terbatas. Kegiatan pelayanan masyarakat ini menawarkan solusi melalui penerapan sistem hidroponik otomatis berbasis mikrokontroler dengan sensor (suhu, kelembapan, pH) dan aktuator (pompa, layar) yang terintegrasi dengan Internet of Things untuk memudahkan perawatan tanaman tanpa intervensi manual. Metode kegiatan meliputi survei, desain sistem, serta edukasi TOGA bagi 40 peserta dari berbagai elemen masyarakat Desa Sidorejo. Selain menghasilkan prototipe hidroponik rumah tangga, kegiatan ini berhasil meningkatkan antusiasme dan kesadaran warga terhadap kesehatan preventif untuk mencegah hipertensi dan diabetes. Program ini berpotensi menjadi model kolaborasi teknologi-kesehatan yang dapat direplikasi di wilayah perkotaan lainnya.
Co-Authors Achmad Syaifudin Adhi Dharma Wibawa, Adhi Dharma Ahmadinejad, Iqbal Aisar, Muhammad Arjunnaja, Moch. Ghulam Asrofi Buntoro Jafari, Nadya Paramitha Kamil, Ihtifazhuddin Fathul Kuswanto, Djoko Midzkar, Wuli Silan Mubarok, Fahmi Mukhairiq, Gusfatul Nur, R. Rossa Alfi Prawesti, Indyra Yudha Putri Alief Siswanto Rais, Bryan Ramadhani, Prio Adi Ridho Rahman Hariadi Risaldi, Randi Achtiar Tawakkal, Raihan Achmad Yuri Pamungkas