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All Journal International Journal of Electrical and Computer Engineering International Journal of Renewable Energy Development Jurnal Bahan Alam Terbarukan Rekayasa Mesin REKAYASA AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat INOVTEK POLBENG Jurnal Sisfokom (Sistem Informasi dan Komputer) Community Engagement and Emergence Journal (CEEJ) Jurnal Abdi Masyarakat Indonesia Duta Abdimas: Jurnal Pengabdian Masyarakat
Faria, Niswatun
Program Studi Manajemen Rekayasa, Universitas Internasional Semen Indonesia, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Physics Public Health Social Sciences

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Analysis of Contributing Factors and Prediction of Urban Waste Generation Using PSO-ANN Bariyah, Taufiqotul; Miftahurrohmah, Brina; Faria, Niswatun
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol. 14 No. 4 (2025): NOVEMBER
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v14i4.2425

Abstract

This research examines the factors influencing waste generation in urban areas, with a focus on East Java, which has experienced increased waste due to population growth and urbanization. Using the Spearman correlation method, it was found that unemployment (ρ = 0.87) and population (ρ = 0.865) are significantly related to waste generation. However, HDI (ρ = -0.152) and population density (ρ = -0.169) are uncorrelated with waste generation. Furthermore, waste generation predictions will be built using the Particle Swarm Optimization-Artificial Neural Network (PSO-ANN) model. The modeling results showed that the PSO-ANN architecture with one hidden layer achieved RMSE of 0.125 and MAE of 0.109, while the model with two hidden layers achieved RMSE of 0.123 and MAE of 0.105. These findings indicate that the two-hidden-layer PSO-ANN model is more effective in predicting waste generation than the single-layer model. This study recommends exploring alternative methods and additional variables to provide a more comprehensive examination and analysis of waste disposal management in the future.
Pemanfaatan Fitoterapi Sebagai Imunomodulator Pada Masa Pandemi Covid-19 Di Kelurahan Sukodono Kabupaten Gresik Suwanto, Suwanto; Ernawati, Ernawati; Yusa, Ali; Faria, Niswatun; Thoyyib Shofi, Ahmad; Purbasari, Setiya
Duta Abdimas Vol. 1 No. 2 (2022): Duta Abdimas: Jurnal Pengabdian Masyarakat
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (471.562 KB) | DOI: 10.47701/abdimas.v1i2.1772

Abstract

Background, the corona virus infection disease can be caused by the covid-19 virus, the first time the corona virus was found in the city of Wuhan, China. The disease quickly spread in various countries. Efforts to prevent the spread of COVID-19 through discipline to health protocols. In addition to implementing public health protocols, it can increase body immunity, increase the immune system through the use of medicinal plants such as; kencur, cardamom, turmeric, lempuyang, ginger, and galangal.The aim is to provide knowledge to extension participants about the use of phytotherapy as an immunomodulator during the COVID-19 pandemic in Sukodono sub-district, Gresik district.Implementation methods include; (1) socialization is carried out by the service team with the government. (2) implementation of activities using lecture, practice, and discussion methods. (3) evaluation of activities through pre-test and post-test to the participants of the extension agent. The evaluation results were analyzed using a paired sample T test with a significance level (α 0.05). Service activities in Sukodono sub-district, Gresik district, with a total of 30 participants. The results, based on the analysis of the paired T test, the average pre-test score was 52.13, the post-test score was 87.20. while the value of sig 2 tailed shows 0.000 < 0.05.In conclusion, there was an increase in knowledge of participants after being given counseling about the use of phytotherapy as an immunomodulator during the covid-19 pandemic.
Co-Authors Arifianti, Qurrotin Ayunina Maulida Okta Astri Wening Perwitasari Azzahrah, Dewi Ayu Fitria Bariyah, Taufiqotul Brina Miftahurrohmah Budiharso, Tedy Eko Dharmawan, Yogantara Setya Ernawati Ernawati Eva Nur Fauziah Faqih Hadi Pangestu Firdaus, Rizqi Ni’amul Gaina, Pratiwi Claudia Iva Yenis Septiariva Izzati Winda Murti Jannah, Kharisma Roudlotul Jannah, Nur Alfiyah Miftakhul Jun-Wei Lim Junianto, Mochammad Annas Lim, Jun-Wei Mega Muitiara Sari Mega Mutiara Sari Miftahurrohmah, Brina Muhammad Arifin Ilham Muhammad Jerry Pratama Nurulbaiti Listyendah Zahra, Nurulbaiti Listyendah Prasetya, Fandi Angga Pratiwi Claudia Gaina Purbasari, Setiya Qurrotin Ayunina Maulida Okta Arifianti Rizky Noviasri Sari, Mega Mutiara Sarwono, Ariyanti Septiariva, Iva Yenis Sisprasojo, Nova Ridho Suhardono, Sapta Suryawan, I Wayan Koko Susanto, Tri Eddy Suwanto Suwanto Thoyyib Shofi, Ahmad Tisna Tyasa Athira Majid Tyas, Naomi Ayu Citra Ning Ummatin, Kuntum Khoiro Wisnu Prayogo Yusa, Ali Zamzami, Yaski Achmad