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Analisis Sentimen Produk Amazon Menggunakan Algoritma Naïve Bayes Pada Data Review Pelanggan Jesica Yolanda Br. Sibarani; Agus Junaidi; Mochammad Abdul Azis; Yoseph Tajul Arifin; Diah Puspitasari
JURNAL TEKNIK KOMPUTER AMIK BSI Vol 10, No 1 (2024): Periode Januari 2024
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/jtk.v10i1.19093

Abstract

Banyaknya data yang tersebar di internet dapat diolah untuk berbagai kepentingan baik untuk bisnis, sekolah, politik dan lainnya. Dan peningkatan teknologi juga berdampak kepasar produksi. Dari banyaknya e-comerce yang muncul dari berbagai negara dengan penggunaan yang relative mudah dan efficient. Yang membuat pelanggan tidak harus datang langsung ke toko dari produk yang ingin dibeli. Produk-produk yang dijual di e-comerce juga sangat variatif dan lengkap. Pelanggan juga dapat membeli barang yang dijual di toko luar negeri dengan sekali klik maka barang akan sampai kerumah. Salah satu e-comerce terbesar dan dapat dijangkau dari tiap-tiap negara yang berbeda adalah Amazon. Amazon menyediakan lebih dari miliaran produk dan di akses banyak pengguna setiap harinya. Maka dengan banyaknya persaingan toko dan produk di Amazon maka pembeli harus dapat menilai produk tidak hanya dari deskripsi dan foto yang disediakan toko tetapi juga harus melihat ulasan yang diberikan pembeli yang telah lebih dulu membeli barang tersebut dan seberapa banyak barang itu telah dibeli. Data review amazon yang digunakan ada 60.888 dan setelah dibersihkan dan dibuang kalimat duplikat maka data bersihnya ada 43.126 data. Dengan data sentiment positif sebesar 32318 data, negative 7.478 data dan neutral 3.330 data dengan tingkat akurasi menggunakan metode naïve bayes yaitu sebesar 100%. The abundance of data available on the internet can be processed for various purposes, including business, education, politics, and more. Technological advancements have also impacted the production market. With the emergence of numerous e-commerce platforms from different countries, the ease of use and efficiency have increased. This eliminates the need for customers to physically visit stores to purchase desired products. The products available on e-commerce platforms are diverse and comprehensive. Customers can even buy items sold by overseas stores with just a click, and the goods will be delivered to their doorstep. One of the largest and globally accessible e-commerce platforms is Amazon. Amazon offers billions of products and is accessed by a large number of users every day. Due to the intense competition among stores and products on Amazon, buyers need to evaluate products not only based on the store's description and photos but also by considering reviews from previous customers who have purchased the same item, as well as the quantity of items sold. The dataset used for this analysis consists of 60,888 Amazon reviews. After cleaning the data and removing duplicate sentences, the clean dataset consists of 43,126 records. The dataset is further categorized into positive sentiment (32,318 records), negative sentiment (7,478 records), and neutral sentiment (3,330 records) and the accuracy rate achieved using the Naïve Bayes method is 100%.
Sosialisasi dan Dukungan Kepada UMKM dalam Pembuatan Nomor Induk Berusaha (NIB) Untuk Pengembangan UMKM di Dusun Pudo Desa Mojosarirejo Agus Sunaryo; Tatra Prayogi Hermawan; Cantika Ayu Martaviana; Andre Bagus Pratama; Putri Maulidya; Yordan Nagara Yannot Tamma; Amash Titahillah; Amelia Maulindah; Ajeng Savily Aprilleoni; Vinanda Ayu Febryana; Alfan Dwi Nurrohman; Abdillah Alif Alwi; Nova Fitria Lilian; Denis Shevira; Bagas Cahya Pratama; Bagus Arya Walanda; Bakhrul Alam Umarok; Bima Satria Negara; Bunga Nur Fadilah; Dafid Arya Pratama; Dedi Rianto; Angga Pradana Putra; Khalimatun Nisa; Mochammad Abdul Azis
ABDIMAS TERAPAN : Jurnal Pengabdian Kepada Masyarakat Terapan Vol. 1 No. 2 (2023): Desember: ABDIMAS TERAPAN: Jurnal Pengabdian Kepada Masyarakat Terapan
Publisher : Politeknik Kampar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59061/abdimasterapan.v1i2.586

Abstract

Micro, small and medium enterprises or MSMEs are an activity to encourage community economic growth. Pudo Hamlet is one of the hamlets in Mojosarirejo Village, Kemlagi District, Mojokerto Regency which has many business actors. However, most MSMEs players do not understand the importance of the legality of a business. The legality of the business itself is in the form of a Business Identification Number (NIB), because some people understand that processing business permits and legality is very complicated and time consuming. Business Identification Number (NIB) now plays an important role in business management. Therefore, it is necessary to carry out socialization and also provide assistance to the community regarding the importance of the Business Identification Number (NIB) as a form of business legality. The method used in this activity is socialization and assistance which is carried out in three stages, including collecting data on the potential of MSME actors, delivering material, and assistance with registering Business Identification Numbers (NIB). With socialization and assistance, we hope that MSMEs in Pudo Hamlet will have a business legality certificate.