No abstract

Twitter adalah salah satu media sosial dan fasilitas microblogging yang menjadi tempat bagi penggunanya berbagi pengalamannya secara bebas, realtime, dan bersifat publik. Hal ini dapat menjadikan twitter sebagai sumber informasi yang dapat berupa opini, ataupun komentar yang bersifat positif maupun negatif. Dari opini masyarakat tersebut dapat diimplementasikan sebagai tolak ukur, karena memiliki nilai bagi suatu perusahaan agar dapat menjadi bahan evaluasi untuk menentukan langkah dalam meningkatkan layanannya. Oleh karena itu untuk mengolah opini tersebut dibutuhkan teknik analisis sentimen untuk dapat mengidentifikasi opini baik positif maupun negatif. Pada penelitian ini akan menganalisis tweet berbahasa Indonesia dengan topik layanan yang ada pada E-commerce shopee yaitu layanan ShopeeFood yang sedang populer dikalangan masyarakat saat ini. Metode yang akan digunakan untuk analisa sentimen pada penelitian ini yaitu Naïve Bayes Classifier untuk proses mengklasifikasi. Berdasarkan hasil pengujian klasifikasi tweet pada penelitian ini dibuktikan keakuratan yang didapatkan melalui confusion matrix dengan nilai accuracy sebesar 90,62%, precision sebesar 88,23%, dan recall sebesar 93,75%. Kata kunci: Analisis Sentimen, Teks Mining, Naïve Bayes Classifier, Twitter, ShopeeFood

The purpose of this study aims to determine the 7P marketing mix activities carried out by Okui Kopi 3.0 Surabaya on consumer purchase interest, to determine the effect of the 7P marketing mix on consumer purchase interest, and to imply the results of research for Okui Kopi 3.0 Surabaya shop. The sampling method used was a non-probability sampling method with a purposive sampling technique.  The number of samples in this study were 50 respondents.  The data analysis technique used was the Structural Equation Model Partial Least Square (SEM PLS). The results of this study indicate that the variables of product, price, place, promotion, and people have a significant influence on consumer buying interest where the p-value is ≤ 0.05.  Meanwhile, process variables and physical evidence did not have a significant effect on consumer purchase interest because the p-value > 0.05. Keywords—: Marketing Mix, Consumer Purchase Interest, SEM-PLS, Okui Kopi 3.0 Surabaya.

Stroke is the sudden loss of brain function due to an interruption of the blood supply to the brain. Stroke is a dangerous disease that can even cause death for patients. The diagnosis of stroke must be made quickly and precisely to increase the likelihood that the patient can live a normal life again. In making a diagnosis, several factors can influence the patient to get a stroke diagnosis, including symptoms of hypertension to heart disease. From these problems, the researcher wants to classify the diagnosis of stroke so that stroke can get earlier treatment so that patients do not experience prolonged illness. The data used in this study is a stroke dataset with 4861 data labeled 0 which indicates no stroke, and 249 data labeled 1 which indicates a stroke diagnosis. This study uses the Synthetic Minority Over-sampling (SMOTE) method that will be applied to the Multi-Layer Perceptron algorithm so that researchers can get the performance of the stroke diagnosis classification model. Researchers use the SMOTE method so that the data in the classification model is balanced so that the model can make accurate predictions and avoid overfitting on the Multi-Layer Perceptron so that the accuracy in predicting stroke is better than just using an ordinary Multi-Layer Perceptron. The results of the confusion matrix analysis show that SMOTE can increase the prediction of stroke diagnosis from 12,5% to 84,89% in optimal test.

This community service activity aims to increase the income of the milkfish cracker home industry by fisherwomen in Kalanganyar Village, Sedati District, Sidoarjo Regency. The method of implementing the activity uses counseling sessions, training, and practice. The counseling materials are (1) the importance of developing a variety of quality crackers to increase sales volume, (2) the importance of making attractive and hygienic packaging for marketing milkfish cracker products. At the same time, the training material is making hygienic cracker dough with variations in original and spicy flavors. The application of appropriate technology was an electric machine for cutting cylindrical cracker dough. While the online marketing tool developed is Instagram. The conclusions of this activity are (1) training in making hygienic cracker dough with a variety of flavors, (2) improving marketing channel strategies, (3) redesigning product brands, (4) increasing production capacity.