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All Journal Jurnal Informatika JTET (Jurnal Teknik Elektro Terapan) Orbith : Majalah Ilmiah Pengembangan Rekayasa dan Sosial Indonesian Journal of Information System JCRS (Journal of Community Research and Service) Patria Artha Journal of Community Jurnal Hilirisasi Technology kepada Masyarakat (SITECHMAS) Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS
Idhawati Hestiningsih
Program Studi Teknik Informatika Jurusan Teknik Elektro Politeknik Negeri Semarang
Agriculture, Biological Sciences & Forestry Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Library & Information Science Public Health Social Sciences

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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
THE APPLICATION OF INTERNET TECHNOLOGY AND SMS GATEWAY FOR MEMBER DATA MANAGEMENT AND INFORMATION DISSEMINATION OF PERTUNI CENTRAL JAVA Hestiningsih, Idhawati; Mardiyono, Mardiyono; Sukamto, Sukamto; Handoko, Slamet; N, Ari Sriyanto
Journal of Community Research and Service Vol. 1 No. 1: January 2017
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jcrs.v1i1.7029

Abstract

Abstract Pertuni member data (Indonesian Blind Union) of Central Java has not been managed well, so when the institution requesting the data for researching and empowering for the blind within the country or abroad, Pertuni party can not give the accurate data. Information delivery is still using the letter sent through post office which will take a long time, so it will often lead the miscommunication and delay of the information between the board and members of the branch. The purpose of this activity is the provision of facilities supporting media data management and information dissemination member of Pertuni Central Java so it will have the better management. The results of these activities are Pertuni Central Java has the member information system and SMS Gateway system which can easily accessed by the blind.Keywords:  blind, member information system, SMS Gateway
Co-Authors - Mardiyono, - - Sukamto, - Abdollah, Faizal Achmat Ainul Afif Adam Alamsyah, Juan Adi Wibowo, Nur Afandi Nur Aziz Thohari Ahmad Ilyas Aisyatul Karima Alifia Choirunnisa, Alifia Amran Yobioktabera Apriantoro, Roni Arif Bramantyo, Hutama Arif Bramantyo Budi Suyanto Dewi ANGGRAENI Dimas Adi Nugroho Fardana, Budi Firdausy, Fatkhiya Go Andre Widodo, Go Andre Hadwi Widi Sasono, Sindung Hery Setijasa, Hery ISWANTI Lavindi, Eri Eli Mardiyono Mardiyono Mardiyono, Mohammad Arif Mohammad Khambali, Mohammad Muhammad Muqorrobin, Muhammad N, Ari Sriyanto Nasekhah, Durrotun Nurmala, Nandya Parsumo Raharjo, Parsumo Rachman, Rizky Amanda Rian Prasetio Santoso, Kuwat Sato-Shimokarawa, Eri Slamet Handoko Slamet Widodo Suares, Roemaldo Sukamto Sukamto Sukamto suyamto, budi Tahan Prahara, Tahan Prahara Tri Raharjo Yudantoro Triyono, Liliek Wahyu Sulistiyo Wahyu Wibowo, Angga Wildan Arief Arrosyidi