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All Journal Indonesian Journal of Information System Jurnal ULTIMATICS Jurnal Pengabdian Sosial
Lavindi, Eri Eli
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Intelligent Prediction and Detection of Diabetes Mellitus Using Machine Learning Handoko, Slamet; Sukamto; Triyono, Liliek; Hestiningsih, Idhawati; Sato-Shimokarawa, Eri; Lavindi, Eri Eli
Indonesian Journal of Information Systems Vol. 6 No. 1 (2023): August 2023
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v6i1.7602

Abstract

One of the diseases with a fairly high number of sufferers today is Diabetes Mellitus. The increase in the number of people with diabetes is caused by delays in diagnosis and also difficulties in monitoring the blood sugar level. Therefore, a solution is needed to overcome this problem, namely a blood sugar level monitoring system to predict and detect. The blood sugar level monitoring system is an intelligent system that can monitor blood sugar levels in Diabetes Mellitus patients. This system aims to make it easier for patients to check blood sugar levels regularly, to minimize the occurrence of increased blood sugar levels that aggravate the disease. Moreover, machine learning algorithms are a viable method used in recent studies for analyzing, predicting, and classifying health data while improving the health conditions of telemonitoring and telediagnosis. The main purpose of this article is to employ machine learning algorithms for blood sugar level classification in real time. The results of this study indicate that the system can be used to monitor blood sugar levels. The results of the implementation of the system that can be used by users include monitoring the results of measuring blood sugar levels. Keywords: Monitoring Machine Learning, Prediction, Diabetes Mellitus, Data Mining
A Comparative Study of Body Motion Recognition Methods for Elderly Fall Detection: A Review Apriantoro, Roni; Setyawan, Muhammad Adriano Khairur Rizky; Lavindi, Eri Eli
ULTIMATICS Vol 16 No 1 (2024): Ultimatics : Jurnal Teknik Informatika
Publisher : Faculty of Engineering and Informatics, Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/ti.v16i1.3293

Abstract

To maintain the welfare of the elderly, intensive and effective monitoring is needed to ensure their safety. Conventional elderly activity monitoring has several limitations (i.e., space and time) due to human abilities. This problem can be overcome by applying real-time monitoring methods using Wireless Body Area Networks (WBAN) and Artificial Intelligence (AI). Several methods have been used and tested, including artificial intelligence implementations from sensor data-based to computer vision-based pattern recognition for body motion classification. Several methods that have been studied show accurate results in classifying elderly body motions/gestures. However, the Human Activity Recognition (HAR) method performs better for elderly activity monitoring applications and makes fall classification more accurate.
Pendampingan Implementasi Sistem Layanan Administrasi Berbasis Web dan Android di Desa Dukuh Boyolali Yulianto, Taufiq; Khamami, Khamami; Wasito, Endro; K, Sri Anggraeni; Widodo, Sarono; W, Eni Dwi; M, Muhlasah Novitasari; Prahara, Tahan; Rizal, Aminuddin; Lavindi, Eri Eli
Jurnal Pengabdian Sosial Vol. 1 No. 8 (2024): Juni
Publisher : PT. Amirul Bangun Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59837/x158gk60

Abstract

Belum adanya sistem layanan administrasi desa di Desa Dukuh, Boyolali secara online menyebabkan pelayanan yang diberikan kurang optimal. Pelayanan yang selama ini diberikan oleh perangkat desa Dukuh masih bersifat manual. Ketika warga membutuhkan surat, warga menghubungi Kepala Dusun melalui telepon atau via whatsapp atau datang kerumah Kepala Dusun untuk minta dibuatkan surat. Proses ini tentu kurang efektif, mengingat warga Desa Dukuh mayoritas bekerja sebagai karyawan swasta/pabrik dan petani. Jika sewaktu-waktu warga membutuhkan surat yang sifatnya mendesak, akan memakan waktu untuk mendapatkan surat. Untuk mengatasi masalah tersebut, maka dibangun “Sistem Layanan Administrasi Desa di Desa Dukuh, Boyolali Berbasis Web dan Android”. Dengan pendampingan implementasi sistem layanan administrasi desa berbasis web dan android kepada perangkat desa dan warga desa Dukuh akan membantu warga untuk mendapatkan surat secara mudah dan membantu perangkat desa untuk memproses surat dengan cepat. Dengan menggunakan sistem ini, warga bisa secara mandiri mengakses aplikasi sesuai dengan kebutuhan tanpa harus menemui Kepala Dusun atau datang kerumah Kepala Dusun untuk minta dibuatkan surat.
Co-Authors Aminuddin Rizal, Aminuddin Apriantoro, Roni Endro Wasito, Endro Idhawati Hestiningsih K, Sri Anggraeni Khamami Khamami, Khamami M, Muhlasah Novitasari Prahara, Tahan Sarono Widodo, Sarono Sato-Shimokarawa, Eri Setyawan, Muhammad Adriano Khairur Rizky Slamet Handoko Sukamto Taufiq Yulianto Triyono, Liliek W, Eni Dwi