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All Journal Journal of Information System and Computer Scientific Journal of Informatics
Danang Mahendra
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

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RANCANG BANGUN SISTEM INFORMASI PENJUALAN BERBASIS CUSTOMER RELATIONSHIP MANAGEMENT (CRM) PADA USAHA MIKRO KECIL MENENGAH (UMKM) DI KABUPATEN JEPARA Agus Murod Alfarisi; Danang Mahendra
Journal of Information System and Computer Vol. 1 No. 1 (2021): Desember 2021
Publisher : Universitas Islam Nahdlatul Ulama Jepara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34001/jister.v1i1.46

Abstract

Pesatnya persaingan bisnis usaha mikro kecil menengah (umkm), menuntut pemilik usaha untuk menerapkan suatu strategi yang tepat, demi mendukung proses bisnisnya, salah satunya ialah metode pemasaran melalui media online dengan tujuan untuk menjangkau banyak pembeli. Realitanya media yang digunakan oleh UMKM selama ini untuk menjajakan barang masih memiliki kelemahan di mana pelanggan masih disulitkan pada saat melakukan transaksi. Penerapan Customer Relationship Management (CRM) pada pelanggan. Beberapa UMKM akan dijadikan objek dalam penelitian ini. Objek tersebut akan dianalisis menggunakan metode analisis SWOT untuk mengetahui dan mengevaluasi strategi yang tepat berkaitan dengan (strengths), kelemahan (weaknesses), peluang (opportunities), dan ancaman (threats) pada UMKM beserta dilengkapi dengan konsep CRM untuk membantu dalam menetukan fitur-fitur CRM yang diterapakan. Sehingga hasil yang diharapkan dalam penelitian ini adalah sebuah website e-marketplace dengan kelebihan dapat memberikan kemudahan dan keleluasaan UMKM dalam memberikan informasi yang dibutuhkan konsumen dan proses transaksi bisa dilakukan dengan lebih mudah Serta penerapan fitur CRM yang diharapkan dapat meningkatkan kualitas pelayanan terhadap kepuasan pelanggan.
EFISIENSI PENGELOLAAN PERSEDIAAN STOK MENGGUNAKAN METODE SAFETY STOCK DI KAKI NAGA JEPARA Putri, Natasya; Leni Amrita; Arina Zulfa; Danang Mahendra; Joko Minardi
Journal of Information System and Computer Vol. 4 No. 2 (2024): Desember 2024
Publisher : Universitas Islam Nahdlatul Ulama Jepara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34001/jister.v4i2.1221

Abstract

Inventory management is crucial for any business to ensure smooth operations and customer satisfaction. This study investigates the efficiency of inventory management using the Safety Stock method at Kaki Naga Jepara. The research aims to determine how this method can help maintain optimal inventory levels, reduce stockouts, and minimize carrying costs. Using a combination of quantitative data analysis and case study methodology, the results indicate that the Safety Stock method significantly improves inventory management efficiency by providing a buffer against demand variability and lead time fluctuations.
Neural Style Transfer and Clothes Segmentation for Creating New Batik Patterns on Clothing Design Adali, Farhan; Agus Subhan Akbar; Danang Mahendra
Scientific Journal of Informatics Vol. 12 No. 1: February 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v12i1.19554

Abstract

Purpose: Applying the original batik image style to other object images and generating new batik patterns that applied to clothing. Methods: This research uses the Neural Style Transfer method to apply object images to batik to produce new batik patterns, and Clothes Segmentation is used to select areas of clothing in the image so the new batik patterns can be applied to clothing images. And Testing using SSIM, LPIPS and PSNR metrics. This research uses Google Colab, batik image data, and clothing mockup images taken from the internet. Result: This study shows high average results on SSIM, LPIPS and fair results on PSNR. The results show that the similarity is relatively high with high detected noise. Novelty: This research develops a new approach in the field of batik pattern innovation and its application to clothing design images. The novelty of this research lies in the implementation of Neural Style Transfer and Clothes Segmentation, which results in a method of exploring new batik patterns and applying them to clothing design images.
Co-Authors Adali, Farhan Agus Murod Alfarisi Agus Subhan Akbar Arina Zulfa Joko Minardi Leni Amrita putri, natasya