Article Per Year (5 Year)
p-Index From 2021 - 2026
4.843
P-Index
This Author published in this journals
All Journal Journal Of Nursing Practice BAREKENG: Jurnal Ilmu Matematika dan Terapan Jurnal EduHealth Kolaborasi Jurnal Pengabdian Masyarakat Jurnal Smart Keperawatan Journal Of Health Science Community Journal of Global Research in Public Health Journal of Hospital Management and Services Indonesian Journal of Nutritional Epidemiology and Reproductive Journal for Quality in Women's Health
Panca Radono
Universitas STRADA Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Transportation Veterinary Other

Published : 22 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 22 Documents
Search

 1   2   3 
IMPLEMENTATION OF KALMAN FILTER, RECURRENT NEURAL NETWORK, AND DECISION TREE METHOD TO FORECAST HIV CASES IN EAST JAVA Nurwijayanti, Nurwijayanti; Yudianto, Firman; Radono, Panca; Sinulungga, Rizky Amalia; Romli Arief, Mochammad; Utami, Rahayu Budi; Arof, Hamzah
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 20 No 2 (2026): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol20iss2pp1473-1484

Abstract

HIV (Human Immunodeficiency Virus) is a virus that infects cells in the body and weakens the human immune system, making it more susceptible to various diseases. Meanwhile, the symptoms of the disease arising from HIV itself are referred to as AIDS (Acquired Immune Deficiency Syndrome). Approximately 50% of people with AIDS in Indonesia are adolescents. Until now, HIV/AIDS has ranked second in East Java province. HIV/AIDS is classified as a dangerous disease because of the risk of death. Unfortunately, there is no treatment method or vaccine that could prevent this disease. This monitoring program to prevent the development of dangerous health cases such as HIV/AIDS is very helpful for local governments. Along with the development of information technology, the emergence rate of new HIV/AIDS cases can now be forecasted using machine learning as a monitoring tool to support. This machine learning-based monitoring program works with past data for statistical analysis. In this study, the methods used are Kalman Filter, Recurrent Neural Network, and Decision Tree. The Kalman Filter is a type of filter method that is used to predict the state of a dynamic, stochastic, linear, discrete system. A Recurrent Neural Network (RNN) is a development of a Neural Network. RNN deals with input sequence/time-series data by individual sector at each step and preserves the information it has captured at previous time steps in a hidden state. A Decision Tree is one of the classic tree-based prediction methods. The best error value (RMSE) achieved by each method is 0.0885 for the Kalman Filter, then for the Recurrent Neural Network method achieved 0.198, and the Decision Tree method successfully achieved 0.0287.
Pemberdayaan Kesehatan Mental Ibu dan Praktik Pemberian Nutrisi pada Anak Usia Dini Natalia, Shanty; Radono, Panca; Maramba, Martinus; Mufidah, Nida Azhar; Araujo, Feliciano De; Daik, Jelli; Salma, Adevia; Laluna, Laila; Fitria, Henik Nur; Firdaus, Tsabitah Putri; Wardana, Ica Putri; Padaka, Serli Alisa; Kaka, Mersiana Ambu
Kolaborasi: Jurnal Pengabdian Masyarakat Vol 6 No 1 (2026): Kolaborasi: Jurnal Pengabdian Masyarakat
Publisher : Yayasan Inspirasi El Burhani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56359/kolaborasi.v6i1.726

Abstract

Introduction: Early childhood development is a golden period that significantly determines the quality of life in the future. During this phase, maternal mental health plays a crucial role in the quality of child care and development. In Badalpandean Village, Ngadiluwih District, Kediri Regency, mothers' understanding of the importance of mental health and proper nutrition for toddlers was found to be low. This can negatively impact child development, necessitating appropriate educational interventions. Objective: The purpose of this service was increase mothers' knowledge about early childhood mental health and nutrition, teach practical strategies for maintaining mental health, and optimize the role of the Integrated Health Post (Posyandu) as a center for education and community empowerment. Method: This public service was conducted on July 31, 2025, at the Melati Posyandu Park in Badalpandean Village. Methods used included interactive lectures, group discussions, simulations, pretests, and posttests. Media used included PowerPoint presentations, leaflets, and other visual aids. Participants were 14 mothers with toddlers. Result: Pretest results showed that 42.86% of participants had good knowledge, 42.86% had sufficient knowledge, and 14.29% had insufficient knowledge. After the education, posttest results showed a significant increase, with 92.86% of participants having good knowledge, 7.14% having sufficient knowledge, and none in the insufficient category Conclusion: This community service activity successfully increased mothers' knowledge regarding mental health and nutrition for toddlers. It is recommended that similar activities be conducted on an ongoing basis and expanded in scope, involving Posyandu cadres and the village government for program sustainability.
Co-Authors Agustin Widyowati Akbar, Rijal Maulana Andica Apriannisa Araujo, Feliciano De Ardi Bastian Arof, Hamzah Ayu Elvita Bintama Daik, Jelli Donny Irawan Ema Mayasari Endra Widiyanto Falentin Ledys Tanggu Firdaus, Tsabitah Putri Fitria, Henik Nur Herlinda Sri Puryani Idawati Hasyim Jian Bagas Wara S Jian Bagas Wara S Kaka, Mersiana Ambu Kurnia Sari, Dhita Kurnia Wira Susanti Laily Nurhanifah Laluna, Laila Layla Defitria Maramba, Martinus Mochamad Ridwan Mufidah, Nida Azhar Nurwijayanti Nurwijayanti Nurwijayanti Kusumaningrum Padaka, Serli Alisa Ratna Wardani Retno Palupi Yonni Siwi Retno Wulan Anggraini Retno Wulan Anggraini Rijal Maulana Akbar Riza Tsalatsatul Mufida Romli Arief, Mochammad Salma, Adevia Samuel Kaka Shanty Natalia Sinulungga, Rizky Amalia Sutarji Tiara Kelana Zahrotunnisa Titin Susanti Utami, Rahayu Budi Vanessa Axelia Putri Sandya Wardana, Ica Putri Wening Palupi Dewi Wulandari, Anggrawati Yatimah Yatimah Yatimah Yayuk Utami Yudianto, Firman