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All Journal Jurnal Informatika dan Teknik Elektro Terapan Karya Nyata: Jurnal Pengabdian Kepada Masyarakat
EE Lailatul Putri
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Economics, Econometrics & Finance Education Law, Crime, Criminology & Criminal Justice

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Pemeriksaan Gula Darah sebagai Upaya Deteksi Dini dan Pencegahan Diabetes EE Lailatul Putri; Muhammad Farhan; Farhan Dwi Ramadhani; Fina Dwi Apriyanti; Allysa Regina Rosa Bangun; Susi Handayani Riskiah; Mega Lestari; Cahyo Eko Prasetyo; Shafa Rafida Ghalia; Alam Anbari; Neli Murniasih; Gerald Angelo Pantarego; Anjar Pambudi; Yahadi Darman; Euginia Aurilie Putri; Salsabila Kasih Putri Ramadhani; Azmi Annisa Islamyah; Wulan Febriyanti; Ayu Wulandari; Huda Fauziyah
Karya Nyata : Jurnal Pengabdian kepada Masyarakat Vol. 2 No. 3 (2025): September : Karya Nyata : Jurnal Pengabdian kepada Masyarakat
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/karyanyata.v2i3.2155

Abstract

Diabetes Mellitus (DM) is a non-communicable disease that is currently a major public health problem in Indonesia. The prevalence of DM continues to increase from year to year, not only in urban areas but also increasingly found in rural areas. One factor contributing to the high number of DM cases is a lack of public awareness of the importance of a healthy lifestyle, as well as the continued presence of many undiagnosed cases, resulting in delayed treatment. Therefore, early detection efforts and health education that can reach the community at the community level are needed. This community service program was designed to conduct random blood sugar screenings while increasing the knowledge of residents of RW 15 Kalibaru regarding the prevention and control of DM. The activity was carried out on August 24, 2025, involving 21 participants, most of whom were from adults to the elderly. The activity method consisted of two main stages: checking blood sugar levels using a glucometer and a health education session on a healthy lifestyle, a balanced diet, and the importance of regular physical activity. The results of the activity showed that the indicators of success were well achieved. This was indicated by the orderly implementation of the examinations, a high level of participation from residents, and increased awareness of the dangers of DM among participants. From the examination results, most participants had normal blood sugar levels, but several people were found with blood sugar levels above the normal limit who required medical follow-up.
IMPLEMENTASI NEURAL NETWORK BACKPROPAGATION UNTUK MEMPREDIKSI TINGKAT CURAH HUJAN KOTA PADANG (STUDI KASUS: BMKG MARITIM TELUK BAYUR PADANG EE Lailatul Putri; Panji Wijonarko
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 3 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i3.7567

Abstract

Rainfall is an important factor in weather monitoring as well as in understanding its impact on human life. By utilizing historical rainfall data from previous years, this study aims to predict the rainfall levels in the BMKG Padang City area. Several previous studies have widely used the Backpropagation method to predict rainfall levels in various regions, and the results have shown that this method can produce predictions with a relatively high level of accuracy. Therefore, the researcher is interested in applying the same method in the context of the BMKG Padang City area. In this study, historical rainfall data recorded in the BMKG Padang City area from 2022 to 2024 will be used as training and testing data to develop a rainfall prediction model using an Artificial Neural Network with the Backpropagation algorithm. The research results show that using a 3-13-1 network pattern yields the lowest MSE value of 0.00074166, a MAPE value of 2.1295, and an accuracy level of 97.8705%. The prediction model developed in this study is capable of providing accurate prediction results and has the potential to help in understanding and anticipating rainfall levels in the BMKG Padang City area. It is expected that this research can contribute to the field of weather monitoring and support the development of effective preventive measures against the impacts of rainfall.
Co-Authors Alam Anbari Allysa Regina Rosa Bangun Anjar Pambudi AYU WULANDARI Azmi Annisa Islamyah Cahyo Eko Prasetyo Euginia Aurilie Putri Farhan Dwi Ramadhani Fina Dwi Apriyanti Gerald Angelo Pantarego Huda Fauziyah Mega Lestari Muhammad Farhan Neli Murniasih Panji Wijonarko Salsabila Kasih Putri Ramadhani Shafa Rafida Ghalia Susi Handayani Riskiah WULAN FEBRIYANTI Yahadi Darman