Claim Missing Document
Check
Articles

Found 32 Documents
Search

Perancangan Sistem Informasi Stok Barang Pada Meka Tailor Berbasis Website Wijaya, I Made Pasek Pradnyana; Suniantara, I Ketut Putu; Pratiwi, Luh Putu Safitri
Jurnal Sistem Informasi dan Sistem Komputer Vol 8 No 2 (2023): Vol 8 No 2 - 2023
Publisher : STIMIK Bina Bangsa Kendari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51717/simkom.v8i2.142

Abstract

Salah satu usaha yang sedang bertumbuh dan memerlukan pengelolaan stok barang dengan baik adalah usaha Meka Tailor yang bergerak di bidang jual beli kain kebaya. Pemilik usaha melakukan pencatatan stok pada suatu buku catatan yang rentan rusak maupun hilang. Proses pencarian stok kain yang dimiliki dan juga keuntungan yang didapat pun masih dilakukan secara tradisional. Tujuan penelitian ini yaitu merancang bangun sistem informasi stok barang pada Meka Tailor berbasis website. Pengembangan sistem menggunakan metode waterfall, sedangkan pengujian sistem menggunakan metode black box testing dan usability testing. Website dibuat dengan bahasa pemrograman PHP dan framework Bootstrap, dengan bantuan basis data MySQL. Sistem membuatkan QR Code secara otomatis untuk mempermudah pendataan barang. Hasil penelitian menunjukkan bahwa fitur yang dibuatkan pada sistem yang sudah dibangun dapat berjalan baik dan sistem diterima dengan baik khususnya pemilik usaha.
PERBANDINGAN METODE REGRESI SPATIAL AUTOREGRESSIVE MODEL DAN SPATIAL ERROR MODEL UNTUK KEJADIAN DIARE DI PROVINSI BALI Pratiwi, Luh Putu Safitri
MES: Journal of Mathematics Education and Science Vol 9, No 1 (2023): Edisi Oktober
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/mes.v9i1.8099

Abstract

To control the growth rate of diarrheal cases, one of the steps that can be taken is to analyze factors related to diarrhea and their potential to contribute to an increase in diarrhea cases from a regional perspective. Understanding the influence of regions or geographic factors in modeling is known as spatial modeling. It has been identified that there are two common variants of spatial models often used, which include the Spatial Autoregressive Model (SAR) and the Spatial Error Model (SEM). The objective of this research is to determine the best model for the incidence of diarrhea in the Bali region by applying spatial analysis methods such as SAR and SEM. The research results indicate that the data used in the analysis contain significant spatial elements, highlighting the importance of integrating spatial aspects into modeling. In this context, the SEM method has proven to be the most suitable model when compared to Ordinary Least Squares (OLS) and SAR. The R-squared value for the SEM model is 96.01%, and it achieves the lowest AIC value of 267.558. Therefore, these findings demonstrate that the SEM model is more accurate in explaining the relationships among the variables involved in this study.