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All Journal Jatilima : Jurnal Multimedia Dan Teknologi Informasi JOMLAI: Journal of Machine Learning and Artificial Intelligence
Damar Arya Prayoga
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Computer Science & IT Engineering

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RANCANG BANGUN SISTEM INFORMASI BERBASIS WEB RESPONSIF UNTUK PEMESANAN PAKET WEDDING ORGANIZER MENGGUNAKAN METODE EXTREME PROGRAMMING Damar Arya Prayoga; Edric Firjatullah; Nani Hidayati; Nurhidayanti; Heba Elsisy Fadlia
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 7 No. 01 (2025): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v7i01.984

Abstract

Perkembangan teknologi informasi mendorong wedding organizer (WO) untuk mengadopsi inovasi digital guna meningkatkan efisiensi dan kualitas layanan. Penelitian ini bertujuan untuk merancang sistem informasi berbasis web responsif pada S.D Wedding Organizer di Tanah Jawa, yang sebelumnya masih menggunakan metode manual. Dengan metode Extreme Programming (XP), penelitian ini mencakup tahap perencanaan, desain, pengkodean, dan pengujian untuk menghasilkan sistem yang user-friendly dan sesuai kebutuhan. Sistem ini memungkinkan pelanggan untuk memesan paket pernikahan secara online, mengakses informasi layanan, serta mengurangi hambatan dalam komunikasi dan pemesanan. Sistem dibangun menggunakan PHP dan MySQL, dilengkapi fitur seperti login pengguna, pemesanan, dan pengelolaan data. Hasilnya menunjukkan bahwa sistem ini meningkatkan efisiensi operasional WO serta memberikan pengalaman pengguna yang lebih baik. Penelitian ini diharapkan menjadi acuan dalam implementasi teknologi digital di sektor industri pernikahan.
Application of Backpropagation Algorithm for Prediction of Sales Results of Basic Foodstuffs at Artha Water Store Dwi Safitri Ramadhani; Abdul Ghani Ardiansyah; Damar Arya Prayoga; Riko ILham Nandika; Victor Asido Elyakim P
JOMLAI: Journal of Machine Learning and Artificial Intelligence Vol. 4 No. 1 (2025): Maret 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/jomlai.v4i1.5764

Abstract

Companies need to implement sales growth forecasting strategies to create a balance between inventory and sales needs. Without this effort, an imbalance between inventory and sales can cause losses for the company, both in terms of finance and customer satisfaction. As a business entity engaged in the sale of basic necessities, Artha Water is committed to managing its business seriously in order to achieve profits and meet customer needs optimally. However, the development of consumer consumption patterns and sales growth lines at Artha Water which are fluctuating (up and down) make it quite difficult for the cooperative to balance inventory with demand for goods from consumers. By utilizing science in Artificial Neural Networks, we can predict future income using the Backpropagation Algorithm. From the previous description, the author concludes that from the results of the study with the best architecture experiments, namely 12-10-1 to predict sales growth at the Artha Water Store in 2024, it shows an accuracy result of 92%, MSE training of 0.06031588, that there is a significant difference, in other words, sales growth at the Artha Water Store will increase in 2024. With a total sales result of basic necessities at the Artha Water Store for 2024 of IDR 336,930,000.
Co-Authors Abdul Ghani Ardiansyah Dwi Safitri Ramadhani Edric Firjatullah Heba Elsisy Fadlia Nani Hidayati Nurhidayanti Riko ILham Nandika Victor Asido Elyakim P