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Utilization Of Discord Bots In Providing Manhwa Recommendations Using Content-Based Filtering Method Muhammad Farhan Maulana; Ani Dijah Rahajoe; Made Hanindia Prami Swari
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 8 No. 1 (2024): JUSIKOM: JURNAL SISTEM INFROMASI ILMU KOMPUTER
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jurnalsisteminformasidanilmukomputer.v8i1.5600

Abstract

The high number of manhwa released today makes it difficult for readers to find manhwa that match their preferences, especially when trying to find manhwa that are similar to ones they have read before. The manual search process, either through recommendations from communities or online forums, often results in subjective and inconsistent suggestions. To address this issue, a Discord bot was developed that utilizes the Content-Based Filtering method as an automated solution to manhwa recommendation. This method uses the Cosine Similarity algorithm to measure the similarity between manhwa based on features such as title, genre, synopsis, and author. For comparison, the Euclidean Distance algorithm is used to evaluate the accuracy and performance of the recommendation. From the test results, the Cosine Similarity algorithm showed superior performance in providing recommendations based on the questionnaire results and showed a high level of user satisfaction with the developed Discord bot.
PENGENALAN INOVASI REDESAIN MESIN PENGOLAH SAMPAH MULTIFUNGSI Resa Hardianto; Muhammad Awal Ridwan; Muhammad Eka Bad'ul Amaly; Iman Firmansyah; Muhammad Farhan Maulana
Tensile : Jurnal Pengabdian Kepada Masyarakat Vol 3 No 3 (2025): November 2025
Publisher : Teknik Mesin ,Universitas Pamulang Serang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/tensile.v3i3.54316

Abstract

Program Pengenalan Inovasi Redesain Mesin Pengolah Sampah Multifungsi merupakan kegiatan Pengabdian Kepada Masyarakat (PKM) yang bertujuan memberikan solusi teknologi tepat guna bagi masyarakat Kampung Pasir Dangdor, Desa Sambilawang, Kecamatan Waringin Kurung, Kabupaten Serang. Masyarakat di wilayah ini sebagian besar berprofesi sebagai petani yang bergantung pada sektor pertanian sebagai sumber utama penghidupan. Aktivitas pertanian yang intensif menghasilkan limbah organik dalam jumlah besar, seperti daun, batang tanaman, jerami, dan sisa panen. Selama ini, limbah tersebut sering dibakar atau dibiarkan membusuk secara alami, sehingga menimbulkan pencemaran udara dan menurunkan kualitas tanah. Inovasi yang diperkenalkan melalui kegiatan ini berupa mesin pengolah sampah multifungsi hasil redesain, yang mampu mencacah limbah organik untuk mempercepat proses pengomposan sekaligus memilah sampah anorganik agar tidak mencemari lingkungan. Program ini juga meliputi pelatihan operasional dan perawatan mesin, serta edukasi tentang pengelolaan limbah dan pembuatan kompos modern bagi kelompok tani dan masyarakat desa. Hasil yang diharapkan dari kegiatan ini adalah tersedianya mesin pengolah sampah multifungsi yang siap digunakan, meningkatnya keterampilan masyarakat dalam pengelolaan limbah pertanian, serta tumbuhnya kesadaran lingkungan dan ekonomi sirkular di kalangan petani Kampung Pasir Dangdor. Dampak jangka panjang dari program ini diharapkan mampu mendukung sistem pertanian berkelanjutan dan meningkatkan kesejahteraan masyarakat desa.
The Influence of Digital Marketing, Product Quality, and Consumer Behavior on Purchase Decisions at Point Coffee Cirebon Muhammad Farhan Maulana; Yono Maulana; Jefry Romdonny
Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE) Vol 8 No 3 (2025): Sharia Economics
Publisher : Universitas KH. Abdul Chalim Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/iijse.v8i3.7969

Abstract

This study aims to analyze the influence of digital marketing, product quality, and consumer behavior on purchasing decisions at Point Coffee Cirebon. This study uses a quantitative approach with a survey method involving 150 respondents who are consumers of Point Coffee Cirebon. Data were collected through a questionnaire that measures consumer perceptions of digital marketing, product quality, and behavioral factors that influence their purchasing decisions. Data analysis was carried out using multiple regression methods to test the influence of each independent variable on purchasing decisions. The results of the study indicate that digital marketing, product quality, and consumer behavior significantly influence consumer purchasing decisions at Point Coffee Cirebon. Specifically, effective digital marketing through social media platforms has a major positive impact on purchasing decisions, followed by product quality which is the main factor in attracting consumers. These findings provide important implications for Point Coffee managers in formulating more targeted marketing strategies that are in accordance with consumer preferences. This study is expected to provide insight for coffee entrepreneurs in improving their business performance through the implementation of appropriate digital marketing strategies and improving product quality.