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Journal : Jurnal DISPROTEK

SISTEM INFORMASI IDENTIFIKASI KAIN TENUN BERBASIS MOBILE PADA KAWASAN INDUSTRI TENUN IKAT JEPARA Sarwido, Sarwido; Widiastuti, Nur Aeni; Reviyandi, Riky
Jurnal Disprotek Vol 15, No 2 (2024)
Publisher : Universitas Islam Nahdlatul Ulama Jepara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34001/jdpt.v15i2.6772

Abstract

Tenun Ikat Troso atau Kain Ikat Troso adalah kriya tenun Jepara tepatnya dari Desa Troso. Tenun Ikat Troso berupa kain yang ditenun dari helaian benang pakan atau benang lungsin yang sebelumnya diikat dan dicelupkan ke dalam zat pewarna alami. Di Sentra Tenun Ikat ini pengunjung tidak hanya berwisata atau sekedar membeli sepotong kain saja, tetapi juga dapat mempelajari Kain-kain juga, sayangnya informasi yang ada hanya melalui deskripsi yang diberikan oleh penjaga toko yang sedang menjaga. Sayangnya kalau pengunjung toko tiba-tiba melonjak, penjaga kewalahan kalau dicecar pertanyaan oleh banyak pengunjung. Oleh sebab itu dengan dibuatkannya aplikasi ini diharapkan nantinya akan mempermudahkan tugas penjaga yang sedang dalam bertugas. Metode yang digunakan dalam perancangan ini menggunakan metode prototype, yang dapat digunakan untuk menghubungkan ketidakpahaman client. Pengunjung bisa melakukan scan ke Qr code yang sudah disediakan dengan menggunakan smartphone masing-masing dan bisa mendapatkan informasi tentang deskripsi kain. Penelitian ini menghasilkan sebuah Sistem Informasi Identifikasi Kain Tenun Berbasis Mobile yang menyediakan layanan berupa informasi jenis dan motif kain yang jelas di Kawasan Industri Tenun Ikat Jepara.MOBILE-BASED WOVEN FABRIC IDENTIFICATION INFORMATION SYSTEM IN THE JEPARA IKATE WEANING INDUSTRIAL AREAIkat Weaving from Troso or Troso Ikat Fabric is a weaving craft from Jepara, precisely from Troso Village. Troso Ikat is a fabric woven from strands of weft yarn or lungsin yarn that have been tied and dipped into natural dyes. In this Ikat Weaving Center, visitors can not only enjoy tourism or simply buy a piece of fabric but also learn about the fabrics. Unfortunately, the available information is only provided through descriptions given by the shopkeepers on duty. Regrettably, when the number of shop visitors suddenly increases, the shopkeepers are overwhelmed with questions from many visitors. Therefore, with the creation of this application, it is hoped that it will facilitate the duties of the shopkeepers on duty. The method used in this design uses the prototype method, which can be used to bridge the gap of understanding with the clients. Visitors can scan the provided QR code using their smartphones and get information about the fabric's description. This research resulted in a Mobile-Based Woven Fabric Identification Information System that provides services in the form of clear information about the types and patterns of fabric in the Jepara Ikat Weaving Industrial Area. 
IMPLEMENTASI DATA MINING MENGGUNAKAN METODE LEAST SQUARE UNTUK MEMPREDIKSI JUMLAH PENJUALAN MEBEL DI UD. MEBEL JATI Sarwido, Sarwido; Shofi'in, Faiz Ali; Saputro, Heru
Jurnal Disprotek Vol 14, No 1 (2023)
Publisher : Universitas Islam Nahdlatul Ulama Jepara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34001/jdpt.v14i1.3850

Abstract

UD Mebel Teak is one of the many shops that provide furniture or household items such as chairs, sideboards, cupboards and so on. The amount of sales transaction data at UD Mebel Jati Stores is currently only used to make sales reports and stock items. In fact, from this sales data mining, it can be searched for an estimate of the amount of sales of an item for a certain month using a calculation method. From here, it can be seen the forecasting of the number of sales for a certain month so that the UD Teak Furniture Store can estimate the supply of furniture. The author will design a data mining implementation system to predict furniture sales using the least squares method to make better use of existing sales transaction data. The design will be implemented using the PHP programming language and MySql database. PHP is a programming language that integrates with HTML to create attractive web pages. This research is expected to produce a datamining implementation system to predict furniture sales using the website-based least squares method. This system is expected to be able to provide information about which furniture is in great demand by consumers in order to provide stock for that furniture. the results of the validation carried out by material experts on sales forecasting decision support systems contained 7 instruments, an ideal score of 63 with an expert score of 63 and a presentation of 100% was declared feasible. And from the verification of media experts from 9 instruments, it was declared feasible with an ideal score of 77 from an expert score of 79 and a presentation of 96.2%.