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All Journal Prosiding Seminar Nasional Sains dan Teknologi Terapan Jurnal Ilmu Komputer dan Desain Komunikasi Visual REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Informatics, Electrical and Electronics Engineering Jurnal Sains dan Teknologi Jurnal Pemberdayaan: Publikasi Hasil Pengabdian kepada Masyarakat (JPM ITTC ) Nusantara Community Empowerment Review Nusantara Computer and Design Review
Syahri Mu’min
Universitas Nahdlatul Ulama Sidoarjo
Religion Aerospace Engineering Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences

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Strategi Pengembangan Sistem Informasi Penjualan E-Commerce di Toko Sepeda Berbasis Metode Agile Alindra Ayyubi; Syahri Mu’min; Awang Andhyka
Nusantara Computer and Design Review Vol. 2 No. 2 (2024): Nusantara Computer and Design Review
Publisher : LPPM UNUSIDA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55732/ncdr.v2i2.1450

Abstract

Pada era digital saat ini, Toko Sepeda Ali Jaya menghadapi tantangan memperluas jangkauan pasar di tengah persaingan ketat dan pergeseran konsumen menuju transaksi digital. Pengembangan sistem penjualan berbasis e-commerce menjadi langkah strategis penting untuk mempromosikan produk, meningkatkan pelayanan pelanggan, dan mengoptimalkan proses penjualan. Metode Agile dipilih karena fleksibel, memungkinkan perubahan cepat sesuai kebutuhan, meningkatkan kolaborasi tim, mengurangi risiko, dan menghasilkan produk berkualitas tinggi dalam waktu lebih singkat. Hasil dari implementasi sistem menunjukkan kepuasan tinggi terhadap sistem e-commerce Toko Sepeda Ali Jaya, dengan skor rata-rata 4,7/5 untuk navigasi dan 4,8/5 untuk UI/UX. Kepuasan pengguna meningkat dari 60% menjadi 85% setelah implementasi. Efisiensi proses penjualan juga meningkat, dengan waktu proses berkurang dari 1-2 hari menjadi kurang dari 1 jam dan jumlah pesanan harian meningkat dari 10-15 menjadi 30-50 pesanan. Fitur manajemen produk dan dashboard yang user-friendly diapresiasi pengguna, bersama dengan sistem checkout yang efisien. In today's digital era, Toko Sepeda Ali Jaya faces the challenge of expanding its market reach amidst fierce competition and consumer shifts towards digital transactions. Developing an e-commerce-based sales system is an important strategic step to promote products, improve customer service, and optimize the sales process. The Agile method was chosen because it is flexible, allows for rapid changes as needed, improves team collaboration, reduces risk, and produces high-quality products in a shorter time. The results of the system implementation showed high satisfaction with Toko Sepeda Ali Jaya's e-commerce system, with an average score of 4.7/5 for navigation and 4.8/5 for UI/UX. User satisfaction increased from 60% to 85% after implementation. The efficiency of the sales processes also increased, with processing time being reduced from 1-2 days to less than 1 hour and the number of daily orders increased from 10-15 to 30-50 orders. The user-friendly product management and dashboard features were appreciated by users, along with the efficient checkout system.
WhatsApp Chatbot Implementation of New Student Admission Information Service in Universitas Nahdlatul Ulama Sidoarjo Bilqis Brillyana Citra Zoraya; Syahri, Syahri Mumin; Awang, Awang Andhyka
Jurnal Teknik Elektro dan Informatika Vol 5 No 1 (2025): INFOTRON
Publisher : Universitas Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/infotron.v5i1.23365

Abstract

Universitas Nahdlatul Ulama Sidoarjo (UNUSIDA) is experiencing obstacles in providing fast and efficient new student admission information services. The high volume of inquiries, limited human resources, and the need for instant response are the main challenges. This research aims to implement whatsapp chatbot technology to improve services at the University of Nahdlatul Ulama Sidoarjo. Using the Agile method, chatbot development is carried out iteratively and incrementally to ensure that the resulting solution meets user needs. The method used in this research includes the development of a chatbot system using a suitable programming platform, followed by testing the functionality and effectiveness in providing information. The test results show that the whatsapp chatbot is able to provide accurate and relevant responses in an average time of 3 seconds. Prior to the implementation of the chatbot, the response time to prospective student questions ranged from 15-30 minutes. The implementation of whatsapp chatbot significantly improves the efficiency of information services, reduces the workload of PMB staff and increases prospective student satisfaction. This research proves the effectiveness of chatbots in improving the quality of UNUSIDA PMB information services. This research serves as an example for other institutions in utilizing chatbot technology to improve public services effectively and make a significant contribution to the development of service technology in higher education.
Analisis Pola Pembelian Konsumen pada Toko Sumber Rejeki dengan Pendekatan Data Mining mu'min, syahri; Editya, Arda Surya
Jurnal Sains dan Teknologi (JSIT) Vol. 5 No. 2 (2025): Mei - Agustus
Publisher : CV. Information Technology Training Center - Indonesia (ITTC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47233/jsit.v5i2.3109

Abstract

This study aims to analyze consumer purchasing patterns at Toko Sumber Rejeki using a data mining approach,specifically the Market Basket Analysis method. In this study, three popular algorithms are used, namely Apriori, FPGrowth, and Eclat to identify associations between products that are often purchased together. The transaction dataanalyzed consists of 200 of purchase data during the period 2023-2024, which is then processed through the preprocessingstage and transformed into a transaction format. The evaluation is carried out based on the support, confidence, and liftmetrics to assess the strength of the association rules generated by each algorithm. In addition, a comparison of algorithmefficiency is seen from the number of rules formed and the computation time required. The results of the study show that allthree algorithms are able to produce rules that are relevant to the needs of the store, but FP-Growth has an advantage inprocessing time efficiency compared to Apriori and Eclat. These findings can be used as a basis for strategic decisionmaking, such as product arrangement and bundling promotions, to increase sales effectiveness.
Co-Authors Abdillah, Ikhwan Achmad Mufliq Alindra Ayyubi Anggi Rachmawati Arda Surya Editya Arief Saputro Athika Dwi Wiji Utami Awang Andhyka Awang, Awang Andhyka Bilqis Brillyana Citra Zoraya Dhado Achmad Djanah, Miftahul Elmi Leonita Wahdin Farikha Risqiyah Khafid Khoirul Hanafi Kholifah Umaroh Ramjane Lisdiyanto, Angga Lutfiyah, Nanik Markhaban Siswanto Moch Kholil Mohammad Tholabah Neny Kurniati Rizky Aditya Nugroho Saputro, Arief Ulin Nikmah Umrotin Khasanah Welatika Cahyani Winarti ., Winarti