Claim Missing Document
Check
Articles

Found 4 Documents
Search

The Impact of Technology on People's Behavior Halimatussadiah, Siti; Yuni Lestari, Ria; Firdaus, Faisal; Fesly, Kelvin
Jurnal Primagraha Vol. 5 No. 01 (2024): MAY
Publisher : LPPM Universitas Primagraha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59605/jp.v5i01.627

Abstract

This research aims to find out how digital public behavior and lifestyles in using digital media in society. The aspects examined in this research are convenience, consumptiveness, technological failure, and practicality in a digital society. This research uses a qualitative approach method. The qualitative descriptive research method in this research is a method that aims to explain or describe problems systematically, factually and accurately regarding the facts and characteristics of a particular population or area. The research results show that the development of digital technology has brought about major changes in social interactions and the way we communicate. Today's digital society is increasingly connected, with widespread access to information and social networks. However, there are also emerging challenges, such as privacy issues and anxiety related to social media use. Furthermore, this research concludes that a deep understanding of the impact of digital society needs to be developed, both for individuals and society at large, to ensure the healthy and productive use of digital technology.
Komunikasi Politik Empati dan Homofili Ganjar Pranowo Huda, Ridwan Imamul; Fauziah, Nurul; Halimatussadiah, Siti; Gumelar, Rangga G
Madani Jurnal Politik dan Sosial Kemasyarakatan Vol 14 No 03 (2022): Desember 2022
Publisher : Universitas Islam Darul Ulum Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/madani.v14i03.3727

Abstract

Political communication has a very important role for political actors. Various approaches to political communication can be carried out, one of which is through empathetic and homophile communication. This study aims to explore how Ganjar Pranowo implements this empathetic and homophile communication. The research method used is a qualitative descriptive approach with data collection techniques through literature searches, media and social media. The research results show that Ganjar Pranowo, through his empathetic and homophile communication, has succeeded in building voter loyalty. He managed to present himself as a leader who is like ordinary people.
Pengembangan Inovasi Produk dan Digital Marketing Pada UMKM Enye Singkong Dua Putra Desa Bojong Palahudin, Palahudin; Samsuri, Samsuri; Ramadian, Afzil; Nurdiana, Ratna Putri; Hamdani, Muhammad Fadli; Halimatussadiah, Siti; Nadifah, Najla Virda; Robyanshyah, Robyanshyah
Innovative: Journal Of Social Science Research Vol. 5 No. 1 (2025): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v5i1.17163

Abstract

Enye Singkong Dua Putra MSMEs in Bojong Village is an example of a small business that continues to strive to maintain its presence in the market by relying on its main product, processed cassava. According to the survey results, this MSMEs has the opportunity to innovate its products, but the product logo is outdated, the information system has not been optimized, and an online marketing system has not been implemented. Developing product innovation and digital marketing has become one of the Community Service (PKM) programs in Bojong Village. The purpose of the program is to provide ideas for the development of MSMEs and to help offer insights to business owners regarding the application of digital marketing. The Community service was carried out through a series of stages, starting with the survey stage, problem analysis stage, planning stage, and implementation stage. The results include innovation by adding lime leaves as a substitute for green onions and introducing new flavor variants, updating the logo to be more relevant, using Google Maps location points, creating banners, and providing digital marketing assistance on the Shopee e-commerce platform. The implementation of this program is expected to enhance competitiveness and market segmentation of these MSMEs which are becoming an increasingly digital and dynamic.
ANALISIS SENTIMEN OPINI PENGGUNA JASA PENGIRIMAN JNE MENGGUNAKAN METODE NAÏVE BAYES CLASSIFIER DAN K-NEAREST NEIGHBORS Halimatussadiah, Siti; Tukiyat, Tukiyat; Taryo, Taswanda
Infotech: Journal of Technology Information Vol 11, No 1 (2025): JUNI
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v11i1.358

Abstract

JNE's high-quality service will provide optimal satisfaction to users, ensuring they feel valued and have a reliable and efficient delivery experience. To provide optimal service, this research explores in-depth user sentiment analysis of freight forwarding applications in Indonesia. The purpose of the study is to analyze user sentiment towards the My JNE app, which is one of the leading freight forwarding apps in Indonesia. This research uses user review data from Google Play Store collected from 2018 to 2024. The review sentiment is categorized into positive, neutral, and negative using the VADER analysis tool. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool specifically designed to detect sentiment in social media text. After the data reduction process, neutral sentiment classes were removed to focus the analysis on two main categories: positive and negative. Of the total 5,000 review samples analyzed, it was found that 35.78% belonged to the positive category and 64.21% to the negative category. The classification methods used in this study are Naïve Bayes and K-Nearest Neighbors (KNN). The analysis results show that the Naïve Bayes model has an accuracy of 81.64%, while K-Nearest Neighbors (KNN) has an accuracy of 76.25%. This accuracy test confirms that the KNN model is more effective in classifying user sentiment compared to Naïve Bayes. The results of this study provide important insights into user perceptions of the My JNE application, which can be used as a basis for improving service quality in the future. This research suggests that My JNE focus on improving features that often receive negative reviews to increase user satisfaction.