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RANCANG BANGUN E-COMMERCE HASIL PANEN DAN OLAHAN HASIL TANI BERBASIS WEBSITE Tjut Awaliyah Zuraiyah; Halimah Tus Sadiah; Yetty Husnul Hayati; Lia Dahlia Iryani
MULTITEK INDONESIA Vol 16, No 1 (2022): Juli
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/mtkind.v16i1.4048

Abstract

AbstrakSerikat Petani Indonesia menyatakan bahwa masalah utama yang dialami petani hingga saat ini adalah kesulitan pemasaran hasil panen. Harga hasil panen banyak ditetapkan oleh tengkulak sehingga para petani mengalami kerugian karena modal kerja yang sudah dikeluarkan tidak sebanding dengan hasil penjualan hasil panen yang diperoleh. Selain itu kondisi pandemi Covid 19 juga mempengaruhi proses penjualan hasil panen. Tujuan dari penelitian ini adalah membuat sistem penjualan online atau e-commerce yang dapat memfasilitasi para petani untuk menjual hasil panen dan olahan taninya langsung baik kepada distributor maupun langsung kepada konsumen. Tahapan dari penelitian ini meliputi analisis kebutuhan fungsional, perancangan, implementasi dan pengujian. Penelitian ini telah menghasilkan produk berupa e-commerce hasil panen dan olahan tani yang memiliki fitur menampilkan daftar produk dan harganya, fitur pemesanan, fitur penawaran, fitur laporan penjualan produk dan grafik penjualan. Aplikasi ini telah diuji menggunakan blackbox testing. Skor hasil pengujian sistem ini adalah 100%, yaitu sistem berjalan sesuai dengan output yang diharapkan. Abstract The Indonesian Farmers Union stated that the main problem faced by farmers to date is the difficulty of marketing their crops. The price of the harvest is mostly determined by middlemen so that the farmers suffer losses because the working capital that has been issued is not proportional to the sales of the harvests obtained. In addition, the Covid-19 pandemic condition also affects the sales process of harvested crops. The purpose of this research is to create an online sales system or e-commerce that can facilitate farmers to sell their harvests and agricultural products directly to distributors and directly to consumers. This research method uses the waterfall method. The stages of this research include functional requirements analysis, design, implementation and testing. This research has produced products in the form of e-commerce of harvested and processed agricultural products which have features displaying a list of products and their prices, ordering features, offering features, product sales report features and sales charts. This application has been tested using blackbox testing. The score of the results of testing this system using blackbox testing is 100%, that is, the system runs according to the expected output.
Website Management Training and ICT Literacy Evaluation of Kelurahan Ciwaringin Bogor Authorities Halimah Tus Sadiah
International Journal of Quantitative Research and Modeling Vol. 1 No. 2 (2020): International Journal of Quantitative Research and Modeling
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v1i2.26

Abstract

The use and management of e-Government websites as a mean of public service among Kelurahan Ciwaringin Bogor (Ciwaringin Bogor Village) officials are still considered low. This has implications on the level of online public services in Ciwaringin Bogor Village which is less optimal. This research aims to provide website management training and to conduct an evaluation on information and communications technology (ICT) literacy prior to (plan) and after (reflect) the training of Ciwaringin Bogor Village authorities in order to optimize the usage of e-Government website for public service improvement purpose. The research method consists of three stages, namely: Planning, Website Management Training, and Reflecting. The training is conducted 10 times from February 2019 to April 2019. Based on evaluation of the planning and reflecting stages, the authorities are ready for ICT usage and management as there is a significant improvement in e-Government website management skill of the Ciwaringin Bogor Village authorities from 40% to 80%.
Usability Testing on Android-based KMS for Pregnant Women using the USE Questionnaire Halimah Tus Sadiah
International Journal of Quantitative Research and Modeling Vol. 1 No. 3 (2020): International Journal of Quantitative Research and Modeling
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v1i3.61

Abstract

An Android-based medicines knowledge management system (KMS) application has been built as a result of a research about the usage of medicines on pregnant women. Usability testing is needed to be used to measure the success rate of the implementation of this mobile application. In this study, the Usefulness, Satisfaction and Ease of Use (USE) Questionnaire method is used, with quantitative and qualitative analysis. Based on the test results, it shows that the KMS application for pregnant women has a high usability result, with each component score, namely Usefulness reaches 86%, Ease of Use of 86%, and Satisfaction of 84%. On average, 85% indicates that the Android-based medicines KMS application for pregnant women has high quality attributes in ease of use. In addition, this application already has criteria to meet the needs of users, especially pregnant women, to easily find information and knowledge about medicines that are safe to consume during pregnancy to relieve pain or pregnancy complaints.
Implementation of the First In First Out (FIFO) Algorithm in the Sandal and Shoe Product Inventory (Stock) Application Halimah Tus Sadiah; Delta Hadi Purnama; Muhamad Saad Nurul Ishlah
International Journal of Quantitative Research and Modeling Vol. 5 No. 1 (2024): International Journal of Quantitative Research and Modeling
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v5i1.552

Abstract

This study addresses the optimization of inventory management for sandal and shoe products, at CV Diva Karya Mandiri Warehouse, which covers of five key features: a dashboard, master data management, transaction data, reporting, and user management. The First In First Out (FIFO) algorithm is specifically applied to the transaction feature, ensuring timely disbursement in line with the order of receipt. It is implemented using Rapid Application Development (RAD) methodology, which consists of Planning Requirements, User Design, Construction, and Cutover phases. The developed inventory application offers two access levels: administrators with comprehensive access and warehouse managers with limited access for viewing, searching, and filtering item data. This study successfully implementing the FIFO algorithm, with 95% Blackbox testing result achieved through boundary value analysis approach.Top of Form
Implementation of The Apriori Algorithm on X Cafe Sales Transactions for Product Bundling Package Recommendations Halimah Tus Sadiah; Delta Hadi Purnama; Erniyati Erniyati
International Journal of Quantitative Research and Modeling Vol. 6 No. 1 (2025): International Journal of Quantitative Research and Modeling
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v6i1.882

Abstract

Bundling packages are a marketing strategy in which several products are combined at a more attractive price than if purchased separately. This strategy effectively increases sales, attracts new customers, and levels up the average transaction value. Cafe X, located in Bogor, is a coffee shop that has not yet had a product bundling strategy package to increase product sales. This study aims to implement the Apriori algorithm on sales transactions at Cafe X to bundle product recommendations. The research stages consist of data collection, preprocessing, implementation of an apriori algorithm, and extracting association rules. In this study, a website-based apriori algorithm was implemented. Users can enter the minimum support value, minimum confidence value, and the recommended menu for product bundling. Based on the research results, it is produced for data input on the application with menu recommendations in the form of Tsuin Iced Coffee and Chicken Strips menus with a minimum support of 50% and a minimum Confidence of 90% can produce recommendations for 3 product bundling packages, including Package 1 recommendations are Tsuin Iced Coffee, Chicken Strips, Hot Barbeque Chicken. Package 2 recommendations are Tsuin Iced Coffee, Chicken Strips, and Nachos. Package 3 recommendations are Tsuin Iced Coffee, Chicken Strips, Hot BBQ chicken and Nachos.