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All Journal Jurnal Sains Matematika dan Statistika Al Ishlah Jurnal Pendidikan BAREKENG: Jurnal Ilmu Matematika dan Terapan Unisda Journal of Mathematics and Computer Science (UJMC) Journal on Education Jurnal Mandala Pharmacon Indonesia MES: Journal of Mathematics Education and Science INFOKUM Alifmatika: Jurnal Pendidikan dan Pembelajaran Matematika GANDRUNG: Jurnal Pengabdian Kepada Masyarakat Journal of Computer Networks, Architecture and High Performance Computing Mathematics and Applications (MAp) Journal Jurnal Ekonomi Jurnal Ilmiah MADIYA: Masyarakat Mandiri Berkarya International Journal of Research in Vocational Studies (IJRVOCAS) Jurnal Sains dan Teknologi SWARNA JGEN : Jurnal Pengabdian Kepada Masyarakat SWARNA: Jurnal Pengabdian Kepada Masyarakat Jurnal Computer and Technology
Harizahayu, Harizahayu
Politeknik Negeri Medan
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Journal : Unisda Journal of Mathematics and Computer Science (UJMC)

 1 
Evaluasi Sistem Antrian Pada Loket Pendaftaran Puskesmas Unter Iwes Kecamatan Sumbawa Hermanto, Koko; Sakina, Cici Putri; Utami, Silvia Firda; Harizahayu, Harizahayu
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 10 No 2 (2024): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department, Faculty of Mathematics and Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v10i2.6866

Abstract

The best service includes providing fast service so that customers can arrive quickly. The service here can be in the form of improving the queuing system. Queues can occur if the need for a service exceeds the available demand. One service sector with a queuing system is the Community Health Center. The Community Health Center is a functional implementing unit that is a health development center for fostering community participation in the health sector. So, research was carried out to evaluate the queuing system at the Unter Iwes Health Center registration counter in Sumbawa District to optimize queuing services. The study results show that the queuing system currently used at the registration counter at the Unter Iwes Health Center, Sumbawa sub-district, namely Single Channel-Single Phase, is still optimal, as indicated by a steady state value of less than one. On Monday, it was found that the average queue in the system (????s) was one person, the average queue in the queue (????q) was one person, while the probability that the number of patients in the queue would not occur (????o) was 0%. The average waiting time in the system (????s) is 0.24 minutes, while the average waiting time in the queue (????q) is 0.15 minutes, the server busy level (K) is 64%, and the server unemployment level (W) is 36%.
Pengaruh Distribusi Data Terhadap Hasil Uji Korelasi Studi Pada Uji Pearson Product Moment, Rank Spearman, dan Rank Kendall Tau Ratna Yuniarti; Hartiani Hartiani; Harizahayu Harizahayu
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 11 No 1 (2025): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department, Faculty of Sciences and Technology Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v11i1.9439

Abstract

Correlation analysis is used if you want to know whether there is a correlation between two phenomena. To determine the type of correlation to be used, researchers need to consider whether or not the assumption of normality and data characteristics are met. The purpose of this study was to compare the results of the analysis using several correlation tests with both parametric and non-parametric approaches. The method used is to provide data simulation with three types of data characteristics, namely normal, skewed and data containing outliers. The test used is the correlation in the parametric approach with the Pearson Product Moment Test, while for the non-parametric approach is the Spearman Rank and Kendall Tau Rank tests. Furthermore, a case study is given. The results show that in correlation testing without considering data distribution and data characteristics. Can produce inaccurate conclusions.
Co-Authors Abdul Manap Abduloh Abduloh Afrih Lia, Naila Fikrina Amanda, Sharina Amirul Syah Andam Lukcyhasnita Annisah Annisah Arifin, Ardian Berti Sari Br Sembiring Catur Budi Susilo Cici Handayani, Cici Emy Yunita Rahma Pratiwi Etty Zuliawati Zed Eva Solina Gulton F. Friendly Fatmi, Yulia Ferdinan Rinaldo Tampubolon Ferdinand R. Tampubolon Firda Utami, Silvia Friendly Friendly, Friendly Gamar Al Haddar Harfita, Nur Laily Hartiani Hartiani Hastuty, Widy Helvira Audrey Dwisastri Hermanto, Koko Hudaningsih, Nurul Iksan Adiasa LETASADO, MUHAMAD RUSADI Mas'ud Muhammadiah Minasari Nasution Muhammad Yusuf P, Gipari Royen Prayudani, Santi Purba, Friska Purwo Seputro, Bintarto Putra, Purwa Hasan Putu Doddy Heka Ardana Rahmat Widia Sembiring - Ratna Yuniarti Ratna Yuniarti Roinah Roinah Ruskartina, Eki Sa'odah Saodah Sakina, Cici Putri Sembiring, Rahmat Widya Sembiring, Zakaria Sipayung, Tumini Surbakti, Benar Tarigan, Nirwaty Wiwin Sry Adinda Banjarnahor Yuyun Yusnida Lase Zakaria Sembiring Zakaria Sembiring Zakia Fadila