Article Per Year (5 Year)
p-Index From 2020 - 2025
0.444
P-Index
This Author published in this journals
All Journal JRSI (Jurnal Rekayasa Sistem dan Industri) Tekinfo | Scientific Journal of Industrial and Information Engineering
Monanda Wandita Rini
Unknown Affiliation
Computer Science & IT Control & Systems Engineering Industrial & Manufacturing Engineering

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

Found 2 Documents
Search

 1 
Perbandingan Metode Peramalan Menggunakan Model Time Series Monanda Wandita Rini; Nessa Ananda
Tekinfo: Jurnal Ilmiah Teknik Industri dan Informasi Vol 10 No 2 (2022)
Publisher : Program Studi Teknik Industri Universitas Setia Budi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31001/tekinfo.v10i2.1419

Abstract

Forecasting needs to be done to predict conditions in the future so that they can prepare the required resources. PT XYZ is a manufacturer of veterinary drugs with one of its products being probiotics with a size of 2kg whole research problems being studied. Demand for probiotic products fluctuated so that forecasting was needed to predict the number of products in the future period. This study aims to compare demand forecasting with forecasting methods on the Time Series Forecasting Model and determine the best forecasting method. Forecasting methods used are Moving Average, Weighted Moving Average, Exponential Smoothing, and Trend Linear. Based on the error measurements that have been made, the Trend Linear method gives the Mean Square Error, Root Mean Square Error and Mean Percentage values smaller than other methods. Meanwhile, the error measurement based on the Mean Absolute Deviation and Mean Absolute Percentage Error, the Exponential Smoothing method with α = 0.5 gives a smaller value than other methods. However, in the verification of forecasting based on tracking signals, the results show that the Linear Trend method is more predictive and gives closer to actual results than the Exponential Smoothing method with α = 0.5. Therefore, the best forecasting method chosen is the Linear Trend method. The results of forecasting the demand for 2kg probiotic products for the next period show an increase in demand. The results of this study are expected to provide recommendations for companies to determine policies to prepare to fulfill demand in the coming period.
Design of a Web Based Information System to Manage Delivery Activities Aniza Nur Madyanti; Nessa Ananda; Monanda Wandita Rini; Samsul Rizal
Jurnal Rekayasa Sistem & Industri (JRSI) Vol 10 No 02 (2023): Jurnal Rekayasa Sistem & Industri - Desember 2023
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v10i02.721

Abstract

Informasi dan pengolahan data dalam aktivitas logistik diperlukan untuk peningkatan kinerja perusahaan. Salah satu aktivitas logistik yang harus dikelola adalah pengiriman barang. Beberapa perusahaan melakukan proses pencatatan dan penyimpanan data pengiriman barang secara manual. Permasalahan yang ditemui yaitu terkait akurasi dan kecepatan. Penelitian ini bertujuan untuk merancang sistem informasi pengiriman barang berbasis web untuk kegiatan pencatatan, penyimpanan, pengolahan, dan pelaporan pengiriman barang agar lebih cepat dan akurat. Sistem dirancang menggunakan tahapan pada model Waterfall. Tahap yang dilakukan adalah analisis kebutuhan, desain, pengkodean, dan pengujian. Hasil perancangan sistem informasi berupa aplikasi pengiriman barang berbasis web yang dapat mengelola data aktivitas pengiriman barang secara otomatis dan real time. Sistem informasi ini dapat mengelola data secara otomatis terkait pencatatan, penyimpanan, pengolahan, serta pelaporan pengiriman barang. Sistem ini dapat mengurangi kesalahan pencatatan serta mengurangi waktu proses ketika menginput dan mencari data terkait aktivitas pengiriman barang. Dokumen pengiriman seperti surat jalan dan invoice juga dapat dibuat secara otomatis oleh sistem serta dapat langsung dicetak. Selain itu, sistem ini juga dapat menyajikan laporan pengiriman barang secara otomatis dan real time sehingga kinerja pengiriman dapat terpantau melalui dashboard pada halaman utama di aplikasi. Sistem informasi yang telah dibuat dapat membantu perusahaan dalam mengelola aktivitas pengiriman.
Co-Authors Aniza Nur Madyanti Elfrida Ratnawati Nessa Ananda