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All Journal Journal La Multiapp Jurnal Elektrik
Walukow, Stephy B.
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Aerospace Engineering Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Product and Store Recommendation System Using K-Means Clustering and Hybrid Filtering on Marketplace Kundiman, Injilia M. E.; Tampunabale, Maha M. K.; Kondoj, Marike A. S.; Langi, Herry S.; Walukow, Stephy B.
Journal La Multiapp Vol. 6 No. 4 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i4.2378

Abstract

The development of information and communication technology has driven significant changes in the digital business landscape, particularly in the e-commerce sector. Marketplaces have become crucial platforms for connecting consumers with product providers, including supporting the growth of Micro, Small, and Medium Enterprises (MSMEs). As transaction volumes and product diversity continue to increase, new challenges have emerged in providing consumers with relevant product recommendations. This study aims to develop a product and store recommendation system by combining K-Means Clustering for customer segmentation and Hybrid Filtering to enhance recommendation accuracy. The system was developed using an experimental approach based on software engineering, with historical transaction data from the CV. Talongka Jaya marketplace as the primary data source. Customer segmentation resulted in five clusters based on purchasing behavior patterns, such as transaction frequency and product category preferences. These clustering results were then used to tailor product and store recommendations to the characteristics of each segment. The recommendation system was built by integrating Collaborative Filtering and Content-Based Filtering with optimal weights of 0.7 and 0.3, respectively. Evaluation using 5-fold cross-validation demonstrated that Hybrid Filtering achieved a Precision of 0.78 and an F1-Score of 0.74, outperforming single-method approaches. These findings confirm that the integration of clustering and hybrid filtering is effective in enhancing service personalization and improving users’ shopping experience. This research makes a significant contribution to the development of data mining-based recommendation systems for MSME marketplaces, although there remains room for further improvement through the integration of real-time data and deep learning-based sequential recommendation methods.
Konsep Model Revitalisasi Sawah Non-Produktif melalui Sistem Akuakultur Bertenaga Surya Rumokoy, Stieven Netanel; Warokka, Adriyan; Atmaja, I Gede Para; Walukow, Stephy B.; Simanjuntak, Christopel H.
Jurnal Elektrik Vol. 5 No. 1 (2026): Vol.5 No.1 1 Juni 2026
Publisher : Jurusan Teknik Elektro - Politeknik Negeri Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65485/elektrik.v5i1.1285

Abstract

Sawah non-produktif merupakan lahan pertanian yang belum dimanfaatkan secara optimal sehingga berpotensi menurunkan produktivitas dan nilai ekonomi kawasan pedesaan. Pemanfaatan kembali lahan tersebut melalui sistem akuakultur berbasis energi terbarukan menjadi salah satu alternatif solusi yang dapat mendukung ketahanan pangan dan pengembangan kawasan berkelanjutan. Penelitian ini bertujuan untuk merancang konsep revitalisasi sawah non-produktif melalui sistem akuakultur yang terintegrasi dengan Pembangkit Listrik Tenaga Surya (PLTS). Penelitian menggunakan pendekatan deskriptif dengan metode studi literatur dan wawancara ahli. Studi literatur dilakukan melalui pengumpulan referensi terkait revitalisasi lahan, akuakultur, dan pemanfaatan energi surya, sedangkan wawancara dilakukan kepada ahli dan praktisi bidang pertanian, akuakultur, energi surya, dan sistem kelistrikan untuk memperoleh masukan mengenai kebutuhan dan pengembangan sistem. Hasil penelitian menghasilkan rancangan sistem akuakultur terintegrasi PLTS pada lahan sawah seluas 200 m² yang terdiri dari area kolam budidaya ikan, instalasi PLTS, jalur inspeksi, dan area pendukung lainnya. Kolam budidaya dengan volume efektif 140 m³ dirancang untuk budidaya ikan nila. Berdasarkan hasil perhitungan, sistem mampu menghasilkan ikan sekitar 2,86 ton per siklus panen atau 5,72 ton per tahun. Kebutuhan energi sebesar 15,4 kWh per hari dipenuhi menggunakan PLTS berkapasitas 4000 Wp untuk mendukung operasional aerator, pompa air, pencahayaan, dan sistem monitoring.  Konsep ini menunjukkan bahwa integrasi akuakultur dan PLTS berpotensi menjadi solusi revitalisasi sawah non-produktif yang produktif, mandiri energi, dan ramah lingkungan.
Co-Authors Adriyan Warokka I Gede Para Atmaja Kundiman, Injilia M. E. Langi, Herry S. Marike A.S. Kondoj Simanjuntak, Christopel Hamonangan Stieven N. Rumokoy Tampunabale, Maha M. K.