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Data Mining Dengan Pendekatan Multiple Linear Regression Untuk Prediksi Hasil Panen Padi Alwi Syahbirin; William Ramdhan; Wan Mariatul Kifti
JURNAL RISET KOMPUTER (JURIKOM) Vol. 13 No. 2 (2026): April 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v13i2.9652

Abstract

The rice agricultural sector plays an essential role in Asahan Regency, but current harvest predictions are still carried out conventionally and subjectively. This causes data inaccuracies that impact uncertainty in logistics planning and production policies by the local government. Therefore, this study aims to build a more accurate rice harvest prediction model to assist the Department of Agriculture of Asahan Regency in making strategic decisions. The research methodology used is data mining techniques by implementing the multiple linear regression method, utilizing historical data on land area and rainfall to predict harvest yields. The main results of this study indicate that the web-based prediction model designed is capable of performing valid calculations, producing a harvest projection for 2025 of 54,308.79 tons that aligns with mathematical model calculations. The implication of this research is that the relevant agencies have a reliable decision support tool for planning food security, irrigation systems, and fertilizer provision more efficiently, thereby minimizing errors caused by manual calculations
DETERMINATION OF PRIORITIES OF ELEMENTARY SCHOOL REHABILITATION AT ASAHAN USING SIMPLE ADDICTIVE WEIGHT Aprillia, Dian; Ramdhan, William; Kifti, Wan Mariatul
Jurnal Riset Informatika Vol. 4 No. 4 (2022): September 2022
Publisher : Kresnamedia Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (775.325 KB) | DOI: 10.34288/jri.v4i4.193

Abstract

In the budgeting process for school building rehabilitation activities in Asahan Regency, there are still inaccuracies in selecting prioritized primary schools for rehabilitation. This study aimed to apply the Simple Additive Weighting (SAW) method to determine five primary schools that were prioritized for repair. This research method uses quantitative methods. The data source comes from the East Kisaran and West Kisaran Elementary Schools. The data were analyzed using the SAW method based on the criteria weight depending on the matrix value and normalization. The results showed the 5 largest criteria weights, namely UPTD SDN 010097 Selawan (0.940), UPTD SDN 014689 Lestari (0.884), UPTD SDN 010039 Sentang (0.880), SD Taman Kasih Karunia (0.847), and UPTD SDN 018453 Siumbut-Umbut (0.820). ). This study concluded that the double exponential smoothing method could make it easier to determine which primary school decisions are prioritized for rehabilitation.
Exploring the Impact of Social Customer Relationship Management on Customer Loyalty Through Customer Satisfaction as a Mediator in Micro, Small, and Medium Enterprises in Koowe, Asahan Regency Elly Rahayu; Wan Mariatul Kifti
Jurnal Ekonomi, Bisnis & Entrepreneurship Vol. 18 No. 2 (2024): Jurnal Ekonomi, Bisnis & Entrepreneurship (e-Journal)
Publisher : Pusat Penelitian dan Pengabdian Pada Masyarakat (P3M) STIE Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55208/mez5cc30

Abstract

This study aims to examine the impact of Social Customer Relationship Management (SCRM) conducted through social media on customer loyalty, with customer satisfaction acting as a mediator within UMKM KOOWE in Asahan District. The increasing popularity of social media for communication and transactions has become a valuable tool for small and medium-sized enterprises (SMEs) to promote their products, accept orders, and build customer relationships. The choice of social media is often due to its ease of use, cost-effectiveness, and lack of special skills required for operation. One challenge faced by MSMEs KOOWE is measuring customer satisfaction and loyalty, as obtaining a customer database through social media can be difficult. The research employs a descriptive quantitative methodology, analyzing data using Structural Equation Modeling Partial Least Squares (SEM-PLS) with the support of Smart-PLS 3.0 software. Three hypotheses are proposed: First, SCRM significantly influences customer satisfaction; second, customer satisfaction significantly impacts loyalty; and third, SCRM directly affects customer loyalty. The results indicate that all hypotheses are accepted, confirming the positive relationships among these variables. The implications of this research highlight the importance of implementing effective SCRM strategies through social media to enhance customer satisfaction and loyalty, contributing to the growth and sustainability of MSMEs. Businesses can leverage these findings to refine their customer engagement practices for improved performance in a competitive marketplace.
Media Online Store Dengan Penerapan E-CRM Di Susi Bucket And Decoration Dian Kartini; Fauriatun Helmiah; Wan Mariatul Kifti
Jurnal Algoritma Vol 23 No 1 (2026): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.23-1.3318

Abstract

The development of digitalization encourages MSMEs to optimize their sales and customer relationship management systems in an integrated manner. Susi Bucket and Decoration still faces obstacles in order management, customer data recording, and market reach limitations due to manual processes. This study aims to design and implement an Electronic Customer Relationship Management (E-CRM)-based Online Store system to improve operational efficiency and customer service quality. The methods used are a descriptive qualitative approach with a Waterfall system development model and testing using the black box method. The results show that the system is capable of centrally integrating transaction and customer data, accelerating the order recording process by an average of ±3 minutes compared to the manual method, and improving customer response effectiveness through chat and structured review features. Additionally, period-based sales reports help business owners systematically evaluate sales trends. The scientific contribution of this research lies in the development of an integrated E-CRM implementation model for creative SMEs that combines digital transactions, customer satisfaction monitoring, and sales analytics in a single integrated platform.
Co-Authors Ade Nurainun Adnan Fauzi Ahmad Muhazir Alwi Syahbirin Amalia Amalia Amalia Amalia Amalia Amalia, Laily Rizky Annisa Azzahra Apriaji Kurniawan Aprillia, Dian Ari Dermawan Arip Muhridan Arju Devpriandi Siahaan Arridha Zikra Syah Bachtiar Efendi Bachtiar Efendi, Bachtiar dermawan, ari Dian Aprillia Dian Kartini eka eka Enda Triswati Endra Saputra Fauriatun Helmiah Frans Andrean Hasibuan Guntur Maha Putra Gustin, Sela Habibullah . Hasian, Irene Helmiah, Fauriatun Herman Saputra Herman Saputra Hutapea, Tiofani Br. Imam Wahyudi Indrawan, Imam Wahyudi Indah Pratiwi, Enggy Indahini, Sri Jeperson Hutahaean Jhonson Efendi Hutagalung Lubis, Adi Prijuna Lubis, Syafaat Sufi M Irfan Fahmi M. Zulfakhri Jain Mayang Sari, Windy Astika Muhammad Amin Muhammad Novri Rachmawan Muti'ah, Rahma Nabila, Inaya Nasrun Marpaung Nasution, Rama Danil Fahri Ningrum, Mawar Puspitha Nofriadi, Nofriadi Novianti Novianti Nur Aini Nur Aini Nur Wati Nuriadi Manurung Nuriadi Manurung Nursia, Akris Nursia Nurwati Nurwati Nurwati Nurwati Puspita Deri Syahfitri Putri Amanda Nurhayati Putri Indriani Rahayu, Elly Raja Fazlun Dinara Ramdhan, William Reski Ramadhan Siregar Risnawati Risnawati Rohminatin Rohminatin Rohminatin Rohminatin Rohminatin Rohminatin, Rohminatin SANTOSO SANTOSO Santoso Santoso SATRIYAS ILYAS Sela Gustin Siagian, Yessica Siregar, Beni Harianto Siti Mujiatun Sri Okta Purnamasari Suci Andriyani Sudarmin Sudarmin Sudarmin Sudarmin Sudarmin Sudarmin Sumarlin Sumarlin Syafaat Sufi Lubis Syahira Syahira Tri Anjar Ningsih Vira Fahrani Waji Datur Rahmi Sipahutar Wan Mhd Iqbal Muttaqin William Ramdhan William Ramdhan Windy Astika Mayang Sari Windy Swaradana Yessica Siagian Zulfi Azhar