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All Journal Aspirasi : Publikasi Hasil Pengabdian dan Kegiatan Masyarakat Jurnal Pengabdian Masyarakat dan Riset Pendidikan
Naila Rahma
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Agriculture, Biological Sciences & Forestry Humanities Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Mathematics Public Health Other

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Strategi Penyebaran Produk yang Efektif dengan Menggunakan Analisis Biaya dan Laba Dwi Nurul Azizah; Muhamad Ariel Rakhadian; Muhammad Hisyam Trinugraha; Naila Rahma; Wilda Fahriah
ASPIRASI : Publikasi Hasil Pengabdian dan Kegiatan Masyarakat Vol. 3 No. 4 (2025): Juli : ASPIRASI : Publikasi Hasil Pengabdian dan Kegiatan Masyarakat
Publisher : Asosiasi Periset Bahasa Sastra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/aspirasi.v3i4.2114

Abstract

Product distribution is one of the most important components of a marketing strategy, directly impacting the achievement of sales targets and the competitiveness of an SME in the market. In an increasingly competitive era, the success of a product in the market is not only determined by quality but also by how effectively the product can be distributed widely and precisely to consumers. The main challenge often faced by Kabita Cookies SMEs is in developing an effective and efficient product distribution strategy. Many SMEs do not yet understand how to design a distribution strategy that considers cost and profit aspects. This community service activity aims to provide guidance on the importance of an effective and efficient product distribution strategy using cost and profit analysis as an effort to increase sales and market share. This activity also directly involves several SME practitioners to help SMEs understand the best guidance in distributing a product effectively and measurably. This study uses a quantitative method with data collection through interviews, surveys, and observations. The results of the study show an increase in SMEs' understanding of product distribution and cost and profit analysis. Kabita Cookies SMEs can increase sales and market share by implementing effective and efficient product distribution strategies, such as selecting the right distribution channels, collaborating with distribution partners, and utilizing digital platforms. This program is expected to continue contributing to SME development and product marketing capabilities. This activity is expected to be implemented in SMEs on an ongoing basis to improve marketing quality and increase sales in the market.
Analisis Sentimen Ulasan Pengguna Aplikasi Mobile JKN di Google Play Store Menggunakan Algoritma K-Nearest Neighbors (KKN): Penelitian Mario Marcelino; Vina Pratiwi; Naila Rahma; Dicky Apdillah
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 4 (2026): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 4 April - Juni
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i4.6720

Abstract

Perkembangan teknologi digital mendorong transformasi layanan kesehatan melalui aplikasi digital, salah satunya aplikasi Mobile JKN yang dikembangkan BPJS Kesehatan. Meningkatnya penggunaan aplikasi ini diikuti bertambahnya ulasan pengguna di Google Play Store yang dapat digunakan untuk mengetahui persepsi terhadap kualitas layanan. Penelitian ini bertujuan menganalisis sentimen ulasan pengguna Mobile JKN menggunakan algoritma K-Nearest Neighbors (KNN). Data diperoleh melalui web scraping sebanyak 1.000 ulasan. Tahapan penelitian meliputi pengumpulan data, pelabelan sentimen berdasarkan rating, preprocessing (cleaning, case folding, tokenization, stopword removal, dan stemming), ekstraksi fitur menggunakan TF-IDF, serta klasifikasi dengan KNN. Hasil menunjukkan sentimen positif mendominasi sebanyak 577 ulasan (57,7%), diikuti sentimen negatif 385 ulasan (38,5%), dan sentimen netral 38 ulasan (3,8%). Kata dominan pada sentimen positif adalah bagus, mudah, cepat, membantu, dan praktis, sedangkan sentimen negatif didominasi error, login, otp, gagal, dan lemot. Evaluasi model menunjukkan akurasi sebesar 87,59%, sehingga KNN efektif digunakan untuk klasifikasi sentimen ulasan Mobile JKN. Hasil penelitian ini diharapkan menjadi bahan evaluasi bagi pengembang untuk meningkatkan kualitas layanan dan pengalaman pengguna aplikasi Mobile JKN.
Co-Authors Dicky Apdillah Dwi Nurul Azizah Mario Marcelino Muhamad Ariel Rakhadian Muhammad Hisyam Trinugraha Vina Pratiwi Wilda Fahriah