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All Journal Jurnal Sains Teknologi dalam Pemberdayaan Masyarakat Millennial: Jurnal Pendidikan dan Studi Islam Jurnal Ilmiah Pengabdian dan Inovasi VIDHEAS: Jurnal Nasional Abdimas Multidisiplin Journal of Computer Science Contributions (Jucosco) Journal of Informatics and Information Security Prosiding Seminar Nasional CORISINDO
Mayadi
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Pelatihan Pembuatan Sistem Informasi Penjualan Produk Tani Untuk Kelompok Tani Muda di Desa Labulia Rosanensi, Melati; Sakti, Lanang; Santoso, Heroe; Madani, Miftahul; Suriyati; Mayadi
Jurnal Ilmiah Pengabdian dan Inovasi Vol. 3 No. 2 (2024): Jurnal Ilmiah Pengabdian dan Inovasi (Desember)
Publisher : Insan Kreasi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57248/jilpi.v3i2.524

Abstract

As time goes by, information systems are still very much needed, both for individuals and groups. Information systems are still very reliable, especially for sales, such as selling agricultural products to Indonesian young farmers' associations. The Indonesian Young Farmers Association is a community that sells and produces various agricultural products such as fertilizers, pesticides, medicines, seeds, fruits, vegetables, spices, and food crops. The Indonesian Young Farmers Association is one of the farmer groups located in rural areas. So far the Indonesian Young Farmers Association still uses a conventional system, namely customers who come to their place of business, so buyers have to go to the place where they buy agricultural products and customers need energy to choose the goods or agricultural products they want to buy, and to face intense competition they must have a marketing strategy. Different from its competitors, this requires an information system that can provide information about products to customers quickly and accurately. This research uses the waterfall method which starts from analysis, design, implementation, testing, and maintenance. Results From the trial, a tabulation of 100% was obtained which stated that they strongly agreed that the system that had been created was suitable and could be implemented in the Farmer Product Sales Information System at the Indonesian Young Farmers Association for village progress.
Penerapan Ensemble Learning dengan Hard Voting untuk Klasifikasi Customer Churn Astawa, Andhika rama putra; Martono, Galih Hendro; Mayadi
CORISINDO 2025 Vol. 1 (2025): Prosiding Seminar Nasional CORISINDO 2025
Publisher : CORISINDO 2025

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/corisindo.v1.5340

Abstract

Customer churn menjadi salah satu tantangan terbesar bagi perusahaan telekomunikasi karena berdampak langsung pada pendapatan dan keberlanjutan bisnis. Penelitian ini bertujuan untuk meningkatkan akurasi prediksi churn dengan mengembangkan model ensemble learning berbasis Hard Voting Classifier yang menggabungkan tiga algoritma berbeda, yaitu Naïve Bayes, Random Forest, dan Nearest Centroid. Dataset pelanggan yang digunakan mencakup informasi demografis, perilaku penggunaan layanan, dan status churn, yang kemudian diproses melalui tahapan pembersihan data, seleksi fitur, normalisasi, serta teknik resampling SMOTE-Tomek untuk menyeimbangkan distribusi kelas. Pemilihan fitur dilakukan dengan metode Information Gain dan analisis korelasi, sehingga hanya atribut yang relevan digunakan dalam pemodelan. Hasil pengujian menunjukkan bahwa Hard Voting Classifier mampu mencapai akurasi sebesar 90% dengan nilai recall untuk kelas churn sebesar 81%, lebih tinggi dibandingkan Random Forest (78%), meskipun akurasi Random Forest lebih tinggi (95%). Nilai precision untuk kelas non-churn juga meningkat hingga 97%, menandakan model ini efektif mengurangi kesalahan dalam memprediksi pelanggan tetap. Temuan ini membuktikan bahwa pendekatan ensemble learning dengan base learner heterogen dapat memadukan keunggulan masing-masing algoritma untuk meningkatkan deteksi churn. Meski demikian, performa Hard Voting masih bergantung pada kualitas masing-masing classifier, sehingga optimasi hyperparameter dan eksplorasi kombinasi model lain direkomendasikan untuk penelitian selanjutnya. Hasil penelitian ini diharapkan dapat membantu perusahaan merumuskan strategi retensi pelanggan yang lebih tepat sasaran dan berkelanjutan. 
Co-Authors Achmad Noeman Agus Hidayat Astawa, Andhika rama putra Emiliana Marpaung, dkk, Helen Galih Hendro Martono Indah Dwijayanthi Nirmala Khairunnisa Fadhilla Ramdhania Kustanto , Prio Lalu Ganda Rady Putra Lanang Sakti Leni Epriliani Lisa Adhani Melati Rosanensi Miftahul Madani Mugiarso Muhammad Iqbal Iffahuddin Muhammad Khaerudin R. Wisnu Prio Pamungkas Rasim Rinaldy, Vano Santoso, Heroe Setiaji, I Nyoman Darmawan SITI SETIAWATI Suriyati Suriyati