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All Journal ITEj (Information Technology Engineering Journals) International Journal of Artificial Intelligence Research Indonesian Journal of Artificial Intelligence and Data Mining Jurnal Mantik Penusa JSiI (Jurnal Sistem Informasi) JURIKOM (Jurnal Riset Komputer) JURTEKSI JOURNAL OF SCIENCE AND SOCIAL RESEARCH JOISIE (Journal Of Information Systems And Informatics Engineering) EDUMATIC: Jurnal Pendidikan Informatika Journal of Robotics and Control (JRC) Jurnal Teknik Informatika (JUTIF) Jutsi: Jurnal Teknologi dan Sistem Informasi Jurnal Teknisi J-Com (Journal of Computer) Jurnal Algoritma Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Electronic Journal of Education, Social Economics and Technology
Muhammad Ardiansyah Sembiring
Sekolah Tinggi Manajemen Informatika Dan Komputer Royal
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Journal : Jurnal Algoritma

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Peramalan Penjualan Pakaian Berbasis Web Menggunakan Metode Seasonal Adjustment Hazrina, Umi Indah; Sembiring, Muhammad Ardiansyah; Amalia
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2459

Abstract

In an increasingly competitive industrial era, companies are required to produce quality products and manage inventory effectively to meet consumer needs. Toko Baju Manisem, a business engaged in the production and sale of clothing, faces challenges in determining optimal stock levels because it still uses manual methods to calculate inventory. This risks causing stock shortages or surpluses, which can lead to additional costs and potential losses. This study aims to develop a web-based sales forecasting system using the seasonal adjustment method to improve the accuracy of demand predictions. Seasonal adjustment is a time series data analysis technique that eliminates seasonal factors so that trend patterns are clearer and forecasts are more accurate. This system was built using the PHP programming language to facilitate the prediction process and more optimal inventory management. The results of this study show that the application of the seasonal adjustment method can improve efficiency in inventory management, reduce the risk of excess or shortage of goods, and help business owners make more informed decisions. With this system in place, it is hoped that Toko Baju Manisem can optimize its sales strategy and improve its business sustainability.
Penerapan E-CRM Dalam Strategi Pemasaran Online Barang Retail Rumah Tangga Manurung, Silpany; Sembiring, Muhammad Ardiansyah; Azmi, Sri Rezki Maulina
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2651

Abstract

This study explores the implementation of Electronic Customer Relationship Management (E-CRM) as a strategic approach to enhance the effectiveness of online marketing in the household goods retail business, Adele Grosir Kisaran, located in Asahan Regency, North Sumatra. The primary challenges identified include the absence of digital promotional tools, the lack of a computerized transaction system, and limited customer communication. To address these issues, an integrated web-based E-CRM system was developed using the PHP CodeIgniter framework and MariaDB database. Key features include customer registration, product catalog, digital ordering and payment, feedback system, real-time chat, and automated notifications for promotions and loyalty programs. A qualitative approach was employed, involving observation, interviews, and literature review, while system evaluation was conducted through black-box testing to ensure functional compliance. Customer data analysis revealed that the E-CRM implementation not only improved transaction efficiency and service communication but also generated behavioral patterns that could be explored through association rules. For instance, an association rule with 35% support and 78% confidence indicated that customers who purchased kitchenware also tended to buy household cleaning supplies. This pattern formed the basis for targeted promotional strategies, which proved to increase customer response rates by 25% compared to previous promotional methods. This research contributes to the digital transformation literature of MSMEs by demonstrating how the integration of E-CRM and customer data analysis can strengthen data-driven decision-making. The study offers a replicable system model for other MSMEs to enhance competitiveness, reinforce customer relationships, and achieve business sustainability in a highly competitive digital era.
Co-Authors Adinda, Fitrah Agus, Raja Tama Andri Akmal Akmal Amalia Andhini Asri Awaliyah Arifin Andika Nanda Manurung Andrean, Stefhany Andrew Ramadhani Aprianto, Muhammad Sura Arridha Zikra Syah Bachtiar Efendi Balqis, Nur Chitra, Latiffani Cici Santika Putri Dari, Lisa Wulan Dedi Setiawan Dedi Setiawan Dina Pertiwi elfina, Novita Fahriza Khoirani Febby Madonna Yuma Firdha Agis Utami Batu Bara Hazrina, Umi Indah Hommy Dorthy Ellyany Sinaga Iin Almeina Ika Rahmanda Sitorus Ishak Ishak Ishak Ishak Julita, Rina Lubis, Iin Almeina Manurung, Silpany Mardalius Marhama, Siti Marpaung, Nasrun Maysaroh, Maysaroh Mhd Istaufa Arif Sinaga Muhammad Iqbal Muhammad Istaufa Arib Sinaga Mustika Fitri L Sibuea Mustika Fitri Larasati Sibuea Nurhamidah Nurhamidah Nurhasanah Nurhasanah Nuriadi Manurung panjaitan, widia fahwana br Pradipa, Naila Hanni PuspitaSari, Dinda Tri Putra, Andriansyah Rahayu, Elly Raja Tama Andri Agus Ramadhani, Andrew Ricki Ananda Rizky Ardiansyah Rohminatin Rohminatin Rohminatin, Rohminatin Sapta, Andy Sastria Sandy Utama Selvi, Diana Sembiring, Febby Wulandari Sena, Maulana Dwi Siregar, Sindi Fatika Sari Siti Ramadani Sri Rezki Maulina Azmi Sri Wahyuni Sudarmin Sudarmin Sulistiani, Indah Ummi Kalsum Wiwin Handoko Yessica Siagian Yunita