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All Journal Prosiding Seminar Nasional Unimus Emerging Statistics and Data Science Journal
Rahma Nurmalita
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Humanities Computer Science & IT Engineering Health Professions Mathematics Nursing Public Health

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Rancang Bangun Sistem SIANIDA (Sistem Administrasi Digital Desa) Sebagai Upaya Akselerasi Pelayanan di Desa Sidorejo - Tarsan; Alfidha Rahmah; Ahmad Amrullah B; Qonita Syalsabilla Handayani; Rahma Nurmalita; Soffi Amalia Nur Kholifah; Yan Nazala Bisoumi; Dannu Purwanto; Fatkhurokhman Fauzi
Prosiding Seminar Nasional Unimus Vol 6 (2023): Membangun Tatanan Sosial di Era Revolusi Industri 4.0 dalam Menunjang Pencapaian Susta
Publisher : Universitas Muhammadiyah Semarang

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Abstract

Desa Sidorejo di Kecamatan Karangawen, Kabupaten Demak, Provinsi Jawa Tengah, memiliki tantangansignifikan dalam pengelolaan administrasi desanya. Adanya populasi 7.000 jiwa dan hanya 18 perangkatdesa, mengakibatkan rasio antara perangkat desa dan penduduk tidak seimbang (1:388), sehinggamempengaruhi efisiensi dan pelayanan administratif. Solusi untuk mengatasi permasalahan tersebut, timpengabdian masyarakat yang terdiri dari Himpunan Mahasiswa Statistika dan dosen mengusulkan solusimelalui implementasi “Sistem Administrasi Digital Desa (SIANIDA)”. SIANIDA merupakan website desauntuk pengajuan surat online yang dapat mengurangi antrian, dan meningkatkan efisiensi. Implementasisistem tersebut dilakukan dengan sosialisasi dan pelatihan bagi perangkat desa dan masyarakat. Pelatihandilakukan secara bertahap untuk masing-masing RT, RW, dan perangkat desa. Hasil yang diperoleh adalahsistem dapat meningkatkan kecepatan pelayanan administrasi desa. Pengembangan selanjutnya adalahmemasifkan penggunaan sistem SIANIDA.Kata Kunci : Pelayanan administratif, sistem administrasi digital, sistem informasi
Survival Analysis of Kidney Failure Patients Using the Kaplan Meier Method and Log-Rank Test: Survival Analysis of Kidney Failure Patients Using the Kaplan Meier Method and Log-Rank Test Febrianti, Fatika Lovina; Firdatul Fahria; Siti Hamidah Ardhy; Rahma Nurmalita; Suci Laeliyah; Muhammad Rifqy Ardiansyah; Ihsan Fathoni; M. Al Haris
Emerging Statistics and Data Science Journal Vol. 3 No. 3 (2025): Emerging Statistics and Data Science Journal
Publisher : Statistics Department, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/esds.vol3.iss.3.art21

Abstract

Kidney failure is a global health issue that continues to rise, impacting patients' quality of life and placing significant pressure on healthcare systems. This study aims to analyze the factors influencing the survival probability of kidney failure patients using the Kaplan-Meier method and the log-rank test. Medical records from 106 kidney failure patients treated at Hasanuddin Hospital between 2018 and 2020 were used to examine the effects of age, gender, and disease severity on survival outcomes. The Kaplan-Meier analysis revealed that patients aged ≤ 50 years, females, and those with chronic conditions had better survival probabilities. However, the log-rank test indicated that survival differences based on these three variables were not statistically significant (p-value > 0,05). These findings provide an initial understanding of the survival patterns of kidney failure patients and highlight the need for further research with larger sample sizes or more advanced methods to support the development of personalized care strategies and improve patients' quality of life.
Co-Authors - Tarsan Ahmad Amrullah B Alfidha Rahmah Dannu Purwanto Fatkhurokhman Fauzi Febrianti, Fatika Lovina Firdatul Fahria Ihsan Fathoni M. Al Haris Muhammad Rifqy Ardiansyah Qonita Syalsabilla Handayani Siti Hamidah Ardhy Soffi Amalia Nur Kholifah Suci Laeliyah Yan Nazala Bisoumi