Article Per Year (5 Year)
p-Index From 2021 - 2026
0.817
P-Index
This Author published in this journals
All Journal Jurnal Pengabdian Masyarakat Asia TEKIBA : Jurnal Teknologi dan Pengabdian Masyarakat Khazanah: Jurnal Mahasiswa
Nova El Maidah, Nova El
Unknown Affiliation
Religion Arts Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Other

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search

 1 
Pengembangan Konten Digital Sebagai Upaya Peningkatan Literasi Masyarakat Jember Tentang Covid-19 Maidah, Nova El; Maududie, Achmad; Amalia, Karina Nine
TEKIBA : Jurnal Teknologi dan Pengabdian Masyarakat Vol. 1 No. 2 (2021): TEKIBA : Jurnal Teknologi dan Pengabdian Masyarakat
Publisher : Fakultas Teknik, Universitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (381.794 KB) | DOI: 10.36526/tekiba.v1i2.1599

Abstract

The development of digital content on the CovidCare page is carried out as an effort to increase public awareness of Jember about Covid-19. Through the content on the CovidCare page, apart from making it easier for people to register as vaccination participants, it also makes it easier for health facilities to provide vaccination services. Digital content development is carried out through the stages of needs assessment, design, development, and implementation, as well as evaluation and revision.
Pengembangan Aplikasi Berbasis Android Untuk Sistem Kesejahteraan Sosial Terpadu Kesejahteraan Sosial Kabupaten Jember Maidah, Nova El; Juwita, Oktalia; Pandunata, Priza; Zarkasi, Mohammad; Nine Amalia, Karina; M Firmansyah, Diksy
TEKIBA : Jurnal Teknologi dan Pengabdian Masyarakat Vol. 2 No. 2 (2022): TEKIBA : Jurnal Teknologi dan Pengabdian Masyarakat
Publisher : Fakultas Teknik, Universitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/tekiba.v2i2.2262

Abstract

Validation of the Integrated Social Welfare Data (DTKS) needs to be carried out because the government uses this data as a basis for providing various forms of social assistance. Valid data is one of the efforts so that the social assistance provided is right on target. Jember Regency is one of the districts instructed to validate the data. The University of Jember through the Institute for Research and Community Service (LP2M) is working with the Regional Government of Jember Regency to carry out DTKS validation efforts. This activity then developed an Android-based application that enumerators used to validate in the field. The data used in the application is based on data already owned by the Jember District Social Service
Stunting Prevention Strategies through the Development of the SiPenTing Application (Sistem Preventif Stunting) in Bondowoso Regency Molasy, Honest Dody; Zuhri Ernada, Sus Eko; Eriyanti , Linda Dwi; Maidah, Nova El; Rif'ah, Erwin Nur; Hanif, M. Rayhan; Rahayu , Yani Dwi; Infratama Haloho, Hans Christian; Ariyanto, Diki Angger; Diardi, Bellinda Aliefia
Jurnal Pengabdian Masyarakat Vol. 6 No. 1 (2025): Jurnal Pengabdian Masyarakat
Publisher : Institut Teknologi dan Bisnis Asia Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jpm.v6i1.2472

Abstract

Purpose: This study aims to address the challenge of stunting prevention by developing and implementing the SiPenTing application as a digital technology solution to support local communities. Method: A descriptive qualitative approach was employed, utilizing Focus Group Discussions (FGDs) to gather insights and feedback from stakeholders, including local government officials, village midwives, and mothers participating in integrated service posts. Practical Application: The SiPenTing application facilitates stunting prevention efforts by streamlining communication, providing educational resources, and enhancing monitoring capabilities for both health professionals and community members. Conclusion: The development and implementation of the SiPenTing application in Taman Village, Bondowoso Regency, highlights the transformative potential of digital technology in addressing public health challenges, particularly in preventing stunting. This initiative serves as a model for similar interventions in other regions.
FORECASTING JUMLAH PASIEN RUMAH SAKIT MENGGUNAKAN METODE FUZZY TIME SERIES (STUDI KASUS: RSU SARAH MEDAN) Affan, Afdhalul Khairi; Swasono, Dwiretno Istiyadi; Maidah, Nova El
Khazanah: Jurnal Mahasiswa Vol. 17 No. 1 (2025): Khazanah: Jurnal Mahasiswa
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Rumah sakit berperan penting dalam memberikan layanan kesehatan. Peningkatan populasi dan kesadaran akan kesehatan menyebabkan lonjakan jumlah pasien yang berdampak pada rumah sakit. Pada tahun 2021, Rumah Sakit Umum (RSU) mencatat sebanyak 2.500 pasien rawat inap dan 19.500 pasien rawat jalan. Lonjakan jumlah pasien yang tidak terduga dapat menyulitkan pihak rumah sakit dalam memberikan layanan terbaik kepada pasien. Oleh karena itu, kesiapan fasilitas termasuk pengelolaan dokumen pendaftaran pasien, menjadi faktor yang penting agar tidak menimbulkan antrian pasien yang menyebabkan pelayanan kurang maksimal. Perencanaan berbasis prediksi jumlah pasien diperlukan untuk mendukung pelayanan yang lebih baik. Perencanaan berbasis prediksi (forecasting) menjadi penting dalam meningkatkan mutu rumah sakit karena dapat memperkirakan kebutuhan operasional, seperti jumlah pasien, peralatan, serta pengelolaan kas. Untuk mengatasi masalah pelayanan di RSU Sarah, dikembangkan program prediksi jumlah pasien menggunakan metode Fuzzy Time Series yang diintegrasikan dalam sebuah website berbasis Python Streamlit. Program ini menampilkan grafik data aktual dan hasil prediksi, serta menghitung nilai akurasi menggunakan Mean Absolute Percentage Error (MAPE). Hasilnya menunjukkan MAPE sebesar 9,39% untuk pasien rawat inap dan 4,95% untuk rawat jalan, yang keduanya tergolong sangat baik (<10%). Program ini membantu rumah sakit mengatur pendaftaran dan pengelolaan dokumen secara lebih efisien, sehingga dapat meningkatkan kualitas layanan kepada pasien.
Co-Authors Achmad Maududie Affan, Afdhalul Khairi Amalia, Karina Nine Ariyanto, Diki Angger Diardi, Bellinda Aliefia Dwiretno Istiyadi Swasono Eriyanti , Linda Dwi Hanif, M. Rayhan Infratama Haloho, Hans Christian M Firmansyah, Diksy Molasy, Honest Dody Oktalia Juwita Priza Pandunata Rahayu , Yani Dwi Rif'ah, Erwin Nur Zarkasi, Mohammad Zuhri Ernada, Sus Eko