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All Journal E-Bisnis : Jurnal Ilmiah Ekonomi dan Bisnis PRIMA : Portal Riset dan Inovasi Pengabdian Masyarakat International Journal of Management, Entrepreneurship, Social Science and Humanities (IJMESH) eProceedings of Management
Galuh Sudarawerti
Universitas Telkom
Aerospace Engineering Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Veterinary

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Pengaruh Electronic Word of Mouth Melalui Media Sosial Instagram Terhadap Minat Beli Produk Scarlett Harry Sugih Anugrah; Heppy Millanyani; Galuh Sudarawerti
E-Bisnis : Jurnal Ilmiah Ekonomi dan Bisnis Vol 17 No 2 (2024): JURNAL ILMIAH EKONOMI DAN BISNIS
Publisher : LPPM Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/e-bisnis.v17i2.2071

Abstract

This study raises questions about the effect of Electronic Word of Mouth on consumer buying interest, with the aim of contributing to companies in increasing the effectiveness of Electronic Word of Mouth to increase buying interest. This study aims to determine the effect of Electronic Word of Mouth through Instagram social media on Scarlett's purchase intention, with variables of information quality, information quantity, information credibility, information adoption and purchase intention. This research is using quantitative methods and this type of research is causal, researchers distributed questionnaires with the help of google form, namely 400 respondents using an ordinal scale. Sample calculation using the formula from Yamane with probability sampling technique and with simple random sampling type in data analysis this research uses descriptive analysis and PLS-SEM method. The findings of this study reveal that the information quality variable, the information quantity variable, and the information credibility variable significantly and positively affect information usefulness. Then, the information usefulness variable significantly and positively affects information adoption, and the information adoption variable significantly and positively affects purchase intention. This research is where the variable that has a high assessment is the information usefulness variable on information adoption.
Pentingnya Kesadaran akan Perlindungan Data Pribadi dan Etika Bermedia Sosial Sudarawerti, Galuh; Fariz, Fariz; Kharisma, Mita
PORTAL RISET DAN INOVASI PENGABDIAN MASYARAKAT Vol. 4 No. 3 (2025): JUNE
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/prima.v4i3.1799

Abstract

The team from Telkom University carried out community service activities at the Al Falah At Tirmidzi Foundation with the aim of increasing digital literacy and awareness of students, teachers, and foundation managers regarding personal data protection and social media ethics. This program began with coordination and assessment regarding the relevance of the material to be provided with the needs of the target community, then continued with the delivery of educational materials, interactive discussions, pre-tests and post-tests, and satisfaction surveys regarding the implementation of the activity. The results of the activity showed a significant increase in participants' understanding of the differences between general and specific personal data, as well as the importance of responsible behavior on social media. This activity not only builds awareness of the legal and ethical dimensions of digital behavior, but also encourages the creation of a safer and more empathetic digital space. This program received a positive response and was considered relevant and had an impact on the target community.
Analisis Pola Interaksi Sosial Wisatawan Kuliner Di Joglosemar Melalui Konten Media Sosial Menggunakan Social Network Analysis (Studi Kasus: Youtube) Rahmahayani, Zakiyah Az Zahro; Irawan, Herry; Sudarawerti, Galuh
eProceedings of Management Vol. 11 No. 5 (2024): Oktober 2024
Publisher : eProceedings of Management

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Abstract

Penelitian ini bertujuan untuk menganalisis pola interaksi sosial wisatawan kuliner di Joglosemar melalui kontenmedia sosial menggunakan Social network analysis, dengan fokus pada platform YouTube. Dengan pertumbuhanpesat penggunaan media sosial dalam menyebarkan informasi, khususnya mengenai destinasi wisata kuliner, pentinguntuk memahami bagaimana interaksi antar pengguna terjadi di platform tersebut. Metode penelitian ini melibatkanpengumpulan data user generated content (UGC) dari beberapa konten YouTube yang membahas wisata kuliner diYogyakarta, Solo, dan Semarang. Data tersebut kemudian dianalisis menggunakan Social network analysis untukmemvisualisasikan pola interaksi antar pengguna. Selain itu, penelitian ini juga mengidentifikasi isi video konten yangmendapat respon paling banyak dari pengguna YouTube. Hasil penelitian ini diharapkan dapat memberikan wawasanyang berharga bagi pembuat konten dan pihak terkait dalam memahami pola interaksi sosial wisatawan kuliner diJoglosemar melalui platform YouTube. Dengan pemahaman yang lebih baik tentang pola interaksi ini, diharapkandapat meningkatkan kualitas konten yang disajikan dan memperkuat daya tarik destinasi wisata kuliner di kawasantersebut. Kata Kunci-social network analysis, pola interaksi, wisatwan, wisata kuliner
Pengaruh Product Features, Brand Image, Product Price, Dan Social Influences Terhadap Purchase Intention Iphone Pada Gen Z Di Indonesia Putri, Puji Ningsiana; Rachmawati, Indira; Sudarawerti, Galuh
eProceedings of Management Vol. 11 No. 5 (2024): Oktober 2024
Publisher : eProceedings of Management

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Saat ini, hampir semua tindakan dilakukan dengan dukungan teknologi. Ponsel pintar, sebagai salah satu gadget teknis terpopuler, menyediakan akses cepat dan mudah ke berbagai mode komunikasi dan informasi. iPhone merupakan merek terpopuler di kalangan Generasi Z di Indonesia. Generasi Z di Indonesia memilih iPhone sebagai perangkat utama mereka karena berbagai alasan, termasuk fitur produk, citra merek, dampak sosial, dan biaya.Penelitian ini bertujuan untuk mengetahui dan mengevaluasi Fitur Produk, Citra Merek, Harga Produk, dan Pengaruh Sosial yang mempengaruhi niat pembelian iPhone di kalangan Generasi Z di Indonesia. Penelitian ini menggunakan pendekatan penelitian kuantitatif yang dikenal dengan Partial Least Squares - Structural Equation Modeling. Data penelitian ini diperoleh dengan menyebarkan kuesioner kepada 385 responden Indonesia yang memiliki atau ingin membeli iPhone. Temuan penelitian ini menunjukkan bahwa fitur produk, citra merek, harga produk, dan pengaruh sosial semuanya mempunyai pengaruh positif dan signifikan terhadap niat beli. Studi ini menunjukkan bahwa Apple harus menyelidiki opsi harga yang lebih fleksibel. Apple mungkin akan memberikan promosi atau diskon yang menarik. Meningkatkan fitur, kualitas, dan layanan yang diberikan produk Apple. Kata Kunci-product features, brand image, product price, social influence, dan purchase intention
Improving Housing Price Prediction with Machine Learning: Insights from Yogyakarta Sudarawerti, Galuh; Arif, Fahmi
International Journal of Management, Entrepreneurship, Social Science and Humanities Vol. 9 No. 1 (2025): July - December Issue
Publisher : Research Synergy Foundation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31098/ijmesh.v9i1.3567

Abstract

Predicting housing prices accurately remains a major challenge in the real estate industry, especially in fast-urbanizing areas where both structural and locational factors are at play. This study focuses on the Special Region of Yogyakarta, Indonesia—a city with varied land use and dynamic housing market conditions—to explore how machine learning (ML) can support better price forecasting. Using the CRISP-DM framework, we analyzed data from 2,020 residential listings, incorporating variables such as building area, land size, number of rooms, and district. Among the several classification models tested, Random Forest achieved the highest accuracy and F1-score. According to the feature importance analysis, building area, land area, and district emerged as the strongest predictors, while vertical features like the number of floors had relatively little effect. These findings suggest that in Yogyakarta’s market, observable physical features may play a bigger role in price determination than location-specific factors. While the study offers a practical framework that real estate professionals can apply, its reliance on structural data and a single-region focus does limit how broadly the findings can be applied. Future research could expand on this by including socioeconomic or environmental variables to strengthen model performance and relevance across different markets.
Co-Authors Arif, Fahmi Fariz Harry Sugih Anugrah Heppy Millanyani Herry Irawan, Herry Indira Rachmawati Kharisma, Mita Putri, Puji Ningsiana Rahmahayani, Zakiyah Az Zahro