Chips are a well-known product among Small and Medium Enterprises (SMEs). In order to enhance the quality of chips as an SME product, sentiment analysis is a crucial step. In this research, sentiment analysis of chip purchases on the Shopee E-marketplace was conducted using the Natural Language Processing (NLP) method, utilizing the N-Gram Model and Term Frequent-Inverse Document Frequency (TF-IDF) as feature extraction techniques, and the Support Vector Machine (SVM) algorithm for sentiment classification. The objective of this research is to identify the most suitable feature extraction model and optimal SVM kernel type from the options of Linear, Polynomial degree, Gaussian RBF, and Sigmoid kernels. Results from the experiments indicate that the TF-IDF and unigram feature extraction techniques offer the best performance for SVM classification when utilizing the Linear kernel. By labeling the dataset, it was observed that using a lexicon-based approach for sentiment classification resulted in 84.31% of the total reviews being positive. The words "price", "cheap" and "quality" in unigram have the highest weights above 0.040. In the unigram model, linear kernel accuracy and precision performance values are 88.4% and 87.3%. At the same time, the recall performance values is 88.4%. The results of the F1-Score assessment matrix from Unigram were 86.9%, Bigram was 78.5% and Trigram was 77.4%. Ultimately, the unigram model combined with a linear kernel in the SVM algorithm demonstrates strong potential for application in the development of various systems focused on detecting user reviews in the Indonesian language on the Shopee E-Marketplace.

Penelitian ini memiliki tujuan menganalisis peran dari aspek komunikasi pada program corporate volunteering terhadap citra perusahaan dan loyalitas nasabah. Penelitian ini dilakukan di bank BTPN Purwokerto dengan sampel 120 responden. Alat analisis penelitian ini adalah model persamaan structural (Structural Equation Modelling) dengan memanfaatkan program AMOS 16.0. Hasil penelitian membuktikan bahwa aspek komunikasi memiliki peran sebagai pemicu rasa familiar nasabah terhadap program corporate volunteering dan dapat menimbulkan citra positif nasabah serta memunculkan loyalitas nasabah bank BTPN. Kata kunci: Aspek Komunikasi; Citra Perusahaan; Loyalitas Nasabah; dan Rasa Familiar

Tingginya konsumsi masyarakat terhadap layanan online food delivery menciptakan persaingan yang ketat antar penyedia layanan aplikasi. Hasil survey menemukan bahwa terjadi peningkatan penggunaan layanan online food delivery sebesar 20% pada era pandemi Covid-19. Ketatnya persaingan tersebut menuntut layanan online food delivery memberikan kualitas pelayanan yang terbaik. Penelitian ini bertujuan untuk mengetahui pengaruh e-service quality dan positive e-WOM terhadap intention to use aplikasi online food delivery di Kabupaten Banyumas. Penelitian ini dilakukan dengan menggunakan metode Structural Equation Modeling-Partial Least Squares (SEM-PLS). Teknik yang digunakan dalam pengambilan sampel menggunakan metode purpossive sampling yang melibatkan 100 orang responden dengan kriteria usia minimal 17 tahun, berdomisili di wilayah Banyumas, serta telah menjadi pengguna aplikasi online food delivery minimal 1 bulan. Pengambilan data menggunakan kuesioner dengan skala likert 1 sampai 5 yang didistribusikan melalui Google Form.. Hasil penelitian menunjukkan bahwa variabel e-service quality berpengaruh positif signifikan terhadap positive e-WOM dan variabel positive e-WOM berpengaruh positif signifikan terhadap intention to use. Sehingga, untuk meningkatkan intention to use pada aplikasi online food deliivery di Kabupaten Banyumas dapat melalui peningkatan e-service quality dan positive e-WOM.

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Marketing is an activity that spearheads a business, without a proper marketing strategy, a business will find it difficult to get good sales. In the industrial era 4.0, competition between businesses is getting tighter, this underlies the need for a digital marketing transformation to increase the level of competition with other business players. Digital Marketing is an effort to promote a brand using digital media that can reach consumers in a timely, personal, and relevant manner. This type of digital marketing includes many of the techniques and practices contained in the internet marketing category. MSME players certainly want to develop their business following industry 4.0 trends, especially in the marketing sector. The marketing digitalization movement replaced the activities they had been doing such as marketing through billboards, banners, and word of mouth promotion. This will begin to erode along with the widespread use of technology as a marketing medium. In addition, with the high level of competition, it is necessary to carry out digital marketing transformation efforts for MSMEs to increase competitiveness, brand awareness and marketing strategies. This study uses a website development method with SEO (Search Engine Optimization) techniques and produces a store website that can be used to display MSME business profiles and shop searches that are indexed on google search with SEO techniques so as to produce a digital marketing model that works better than conventional marketing.