Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal Syntax Literate: Jurnal Ilmiah Indonesia Saber: Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Supriadi, Yusuf
Unknown Affiliation
Humanities Computer Science & IT Education Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences Other

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Analisis Pengendalian Alat Kesehatan Non Elektromedik Steril dan Non Steril Menggunakan Metode ABC Di Salah Satu Penyalur Alat Kesehatan Kota Bandung Supriadi, Yusuf; Muchtar, Nida Yulianti; Priyadi, Akhmad
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : CV. Ridwan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (277.033 KB) | DOI: 10.36418/syntax-literate.v6i3.2373

Abstract

Tujuan dari penelitian ini adalah mengetahui pengelolaan persediaan alat kesehatan yang dikelompokkan menjadi A, B dan C berdasarkan analisis metode Activity Based Costing (ABC) nilai pakai untuk memenuhi kebutuhan dan nilai investasinya pada salah satu distributor alat kesehatan kota Bandung. Jenis penelitian ini adalah penelitian non eksperimental yang bersifat deskriptif kuantitatif. Data dikumpulkan dengan cara retrospektif, yaitu mengambil data laporan penjualan selama satu tahun, yaitu Januari 2018-Desember 2018. Pengendalian persediaan membantu memenuhi kebutuhan alat kesehatan pelanggan, mempengaruhi tingkat kepuasan pelanggan dan juga investasi yang bernilai tinggi memerlukan pengendalian yang tepat untuk menekan permasalahan biaya yang mungkin terjadi. Dari hasil analisis klasifikasi ABC nilai pakai didapat bahwa alat kesehatan non elektromedik non steril masuk kedalam kelompok A 47 item (14,46%) persentase penjualan 81% (31.501), Kelompok B 89 item (27,38%) persentase penjualan 15% (5.892), dan kelompok C 189 item (58,16%) persentase penjualan 4% (1.570), sedangkan alat kesehatan non elektromedik steril masuk kedalam kelompok A 28 item (13,8%) persentase penjualan 81% (44.331), Kelompok B 46 item (22,7%) persentase penjualan 15% (8.244), kelompok C 129 item (63.5%) persentase penjualan 4% (2.252). Dan untuk klasifikasi ABC nilai investasi didapat bahwa alat kesehatan non elektromedik non steril masuk kedalam kelompok A 77 item (23,7%) persentase biaya 81% (RP. 680.512.818), Kelompok B 100 item (30,77%) persentase biaya 15% (Rp. 127.926.383), kelompok C 148 item (45,53%) persentase biaya 4% (Rp. 34.299.125), sedangkan untuk alat kesehatan non elektromedik steril masuk kedalam kelompok A 45 item (21,17%) persentase biaya 81% (Rp. 309.177.082), Kelompok B 56 item (27,59%) persentase biaya 15% (Rp. 58.567.428), kelompok C 102 item (50,25%) prosentase biaya 4% (Rp. 15.740.728).
Perancangan Sistem Pakar Mendiagnosa Anemia Menggunakan Metode Fuzzy Mamdani Supriadi, Yusuf; Suhendi, Hendi
SABER : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi Vol. 3 No. 2 (2025): April : Jurnal Teknik Informatika, Sains dan Ilmu Komunikasi
Publisher : STIKes Ibnu Sina Ajibarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59841/saber.v3i2.2246

Abstract

Anemia is a condition of reduced red blood cells in the body lower than the normal amount, or what is commonly referred to as erythrocytes in the blood circulation or hemoglobin so that it is unable to fulfill its function as an oxygen carrier to all body tissues. An expert system is a system designed to mimic the experience of an expert in answering questions and solving problems. By using an expert system, a non-expert can solve problems and make decisions that would normally be made by an expert. Expert systems are now being developed in various fields, expert systems in the health sector are widely developed to detect various diseases with various methods. The fuzzy mamdani method is a method that is also often known as the MAX-MIN or MAX-PRODUCT method. The fuzzy mamdani method can help users in terms of detecting diseases based on symptoms that arise and lifestyle and provide diagnostic results for further action. Based on the description above, it can be seen that the fuzzy method is one method that has been widely used in software development for the diagnosis of a disease. Modeling this expert system to determine anemia based on the symptoms felt by patients.
Co-Authors Hendi Suhendi Muchtar, Nida Yulianti Priyadi, Akhmad