Opinion Mining Terhadap Toko Online Di Media Sosial Menggunakan Algoritma Naïve Bayes (Studi Kasus: Akun Facebook Dugal Delivry)

Hapsari, Yustia; Hidayattullah, Muhammad Fikri; Dairoh, Dairoh; Khambali, Mohammad

doi:10.30591/jpit.v3i2.919

Cited by 4 publications

(3 citation statements)

References 4 publications

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“…Opini yang dibutuhkan untuk melakukan analisis berasal dari komentar halaman toko online di facebook. Facebook dipilih karena penggunanya saling berinteraksi secara masif, dimana total pengguna facebook sebanyak 1,44 miliar dengan pengguna harian sebanyak 936 juta [6]. Sejak peningkatan penggunaan media sosial dan keterbatasan aktivitas sosial masyarakat, maka survei pendapat akan lebih efektif dan efisien menggunakan media sosial untuk perbaikan kemasan produk minyak kayu putih.…”

Section: Pendahuluanunclassified

Prediksi Fitur Kemasan Produk Minyak Kayu Putih Dengan Support Vector Machine (Svm)

Latuny

Lawalata

Paillin

et al. 2021

ale

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UD Sinar Baru has eucalyptus oil products with various sizes from 30 ml to 550 ml, and the size of 550 ml is the most consumed eucalyptus oil product. However, this product has been criticized by consumers for its packaging which has not met their expectations. This study aims to obtain an accurate method of classifying consumer sentiment and obtain features that affect the redesign of the 550 ml eucalyptus oil product packaging. Collecting data using an online survey method from social media Facebook to get consumer comments using power queries. Data analysis uses the concept of the Support Vector Machine (SVM) method with the support of the WEKA application to provide sentiment analysis and accuracy of consumer comments. The results of the study present the tendency of comments on each attribute with an assessment of 83% accuracy for the entire class, 3% for positive class comments, and 57% comments for negative class. The sentiment that shows the packaging tends to be normal at 20% which is interpreted as neutral. The conclusion from the results of this study is that SMO has a very accurate prediction rate to analyze consumer sentiment about the features of the 550 ml eucalyptus oil packaging, and it is necessary to redesign the current packaging by considering the features of shape, color, size, and efficiency.

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Section: Pendahuluanunclassified

Prediksi Fitur Kemasan Produk Minyak Kayu Putih Dengan Support Vector Machine (Svm)

Latuny

Lawalata

Paillin

et al. 2021

ale

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“…Perkembangan teknologi internet membawa dampak perubahan pada beberapa sektor kehidupan manusia, mulai dari pendidikan, perdagangan, pemerintahan hingga komunikasi sosial (Hapsari, Hidayattullah, Dairoh, & Khambali, 2018). Di era sekarang ini pertumbuhan internet dan media sosial telah berkembang pesat sehingga menyediakan berbagai informasi opini dari orang lain (Fanissa, Fauzi, & Adinugroho, 2018).…”

Section: Pendahuluanunclassified

Industri 4.0: Pengukuran Tingkat Kesiapan Industri Tekstil Dengan Metode Singapore Smart Industry Readiness Index

Utomo¹,

Setiastuti²

2019

techno

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The era of technology is disrupted at this time, better known as the Industrial Revolution 4.0, already been applied to a various field of each country. Industry 4.0 include Internet of Thing (IoT), Artificial Intelligence (AI), human-machine interface, 3-D printing, and Advanced Robotics. Industry 4.0 is expected to increase productivity, business efficiency, and competitiveness. Indonesia’s Ministry of Industry has designed ‘Making Indonesia 4.0’ by preparing a roadmap and strategy to meet industry 4.0. There are 5 (five) prioritize manufacturing industrial sectors: Food and Beverages, Textile and Apparel, Electronics, Chemical, and Automotive. For studies conducted in the textile and apparel industry, as one of the priority industries. The Research study was conducted to determine the level of readiness of the textile manufacturing industry to meet industry 4.0 based on aspects of Technology, Processes, and Organizations. The method used is The Singapore Smart Industry Readiness Index. By knowing this level of readiness, it will help the industry to know the position of the current level of readiness and what needs are needed to reach the level of industry 4.0. By knowing the position, is able to know the strengths and weaknesses of technology from the operational technology used, which then knows the technological priorities that are of concern by management to increase industrial competitiveness towards industrial level 4.0.Based on the results of the mapping, related to the level of readiness of the textile industry of PT. Grand Textile based on technological aspects (1.56), process aspects (1.33) and organizational aspects (2.00) amounted to 1.63; position at level 1 which is categorized as New Comer.

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“…Opinion mining data sources include blogs, review sites, and micro-blogging platforms such as Twitter, Tumblr, and Facebook (Buche et al, 2013) whose purpose is to understand customers' opinions toward a product (Hapsari et al, 2018), including whether they have negative or positive opinions (Rozi et al, 2012). It can also be used in business to understand how customers react to a marketed product (Sitorus, 2022).…”

Section: Introductionmentioning

confidence: 99%

Measuring customer satisfaction of an e-commerce company based on opinion mining using SVM algorithm, CSI and IPA

Rosmaladewi,

Bahri,

Amar

2023

JEMC

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This study was carried out to examine the perceived service quality of an e-commerce company app users and the measures that may be taken to improve customer satisfaction. The analysis techniques used were opinion mining to analyse reviews on the Google Play Store, e-SERVQUAL and Customer Satisfaction Index (CSI) to assess customer satisfaction, and Importance Performance Analysis (IPA) to identify elements that require improvement. According to the findings of opinion mining, 65.86% of e-commerce company application users were satisfied, while 34.14% were dissatisfied. Customer satisfaction levels were classified as satisfied for the dimensions of efficiency and reliability, and fairly satisfied for the dimensions of fulfilment, compensation, and responsiveness, based on questionnaire distribution. The Importance Performance Analysis method was used to determine the priority for service quality improvement. Findings showed that delivery time, product suitability, refund and return policy, and service time were the top priorities for service improvement.

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Opinion Mining Terhadap Toko Online Di Media Sosial Menggunakan Algoritma Naïve Bayes (Studi Kasus: Akun Facebook Dugal Delivry)

Cited by 4 publications

References 4 publications

Prediksi Fitur Kemasan Produk Minyak Kayu Putih Dengan Support Vector Machine (Svm)

Prediksi Fitur Kemasan Produk Minyak Kayu Putih Dengan Support Vector Machine (Svm)

Industri 4.0: Pengukuran Tingkat Kesiapan Industri Tekstil Dengan Metode Singapore Smart Industry Readiness Index

Measuring customer satisfaction of an e-commerce company based on opinion mining using SVM algorithm, CSI and IPA

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