Abstract:This study aims to comprehensively investigate the influence of Social Media Marketing and Lifestyle on consumer Purchase Decisions, with Brand Awareness serving as a mediating variable that plays a pivotal role in the consumer…
onsumer decision-making process. The research adopts a causal-quantitative design, intended to identify and test the causal relationships among the predetermined variables. Primary data were collected through the distribution of questionnaires to 130 respondents, consisting of customers of CW Coffee in Pontianak City, West Kalimantan. Data analysis was conducted using the Structural Equation Modeling (SEM) technique based on Partial Least Squares (PLS), operated through SmartPLS 4 software, which facilitates simultaneous evaluation of both the measurement model (outer model) and the structural model (inner model). The model estimation results indicate that both Social Media Marketing and Lifestyle exert a positive and statistically significant effect on Brand Awareness, and contribute both directly and indirectly to Purchase Decisions. Furthermore, Brand Awareness is empirically validated as a partial mediator that reinforces the relationship between the independent variables and the dependent variable. The theoretical implications of these findings underscore that enhancing brand exposure through strategic social media engagement and contextually understanding contemporary consumer Lifestyles are critical determinants in shaping strong brand perceptions and driving purchase intention and realization. Consequently, this study offers practical contributions for business practitioners in formulating digital marketing strategies based on the integration of consumer values and the optimization of digital communication channels, thereby enhancing market penetration effectiveness and fostering long-term customer loyalty.
Abstract:This article exposes the crucial points of narratology to expand knowledge of everyday life. This writing is based on community service done to elementary students in Wisma Penjaringan Sari, Rungkut, Surabaya from 2023 to…
o 2024. Narratology mainly emphasizes matters of narrative structures indicated through perceptions of the cultural world as supported by Tzvetan Todorov. Everyday life is understood as reflections of complex actualizations of plural identities in the sense of the living world. Through explorative approach in qualitative research, this paper digs more understanding of everyday life as stories of experience and taste of the people. Putting focus on narrations of the people, the analysis accentuates more into knowledge of everyday life as a never-ending process. It is a continuous understanding being underlined through meanings of individual experience in everyday life. Furthermore, narrative structures include matters of other individuals as otherness. In conclusion, narratology is significant in expanding knowledge of everyday life especially in widening perspectives of otherness through understanding of own self.
Abstract:Abstract : Service quality reflects how well visitors' expectations are fulfilled based on their actual experiences. The Dinas Perpustakaan dan Kearsipan Kabupaten Asahan has made efforts to provide good services, but observations…
servations reveal some dissatisfaction. Visitors expressed concerns over the incomplete book collection, inadequate handling of complaints, and inaccurate services. To address these issues, the Service Quality approach was employed to evaluate the gap between visitors’ perceptions of the services they received and their expectations. The SERVQUAL method was used to analyze five service dimensions: Tangibles, Reliability, Responsiveness, Assurance, and Empathy. The results showed negative gaps in Empathy (-0.4), Reliability (-0.3), and Assurance (-0.2), which indicate areas for improvement. Conversely, Tangibles and Responsiveness had positive gaps, showing visitor satisfaction with these aspects. These findings provide valuable insights for the library to identify areas that require improvement in order to enhance service quality in the future.
Keywords: mysql; php; service quality; service satisfaction level
Abstrak : Kualitas layanan mencerminkan seberapa baik harapan pengunjung terpenuhi berdasarkan pengalaman nyata mereka. Dinas Perpustakaan dan Kearsipan Kabupaten Asahan telah berusaha memberikan layanan yang baik, namun observasi menunjukkan adanya beberapa keluhan. Pengunjung merasa tidak puas dengan koleksi buku yang tidak lengkap, penanganan keluhan yang kurang optimal, dan pelayanan yang kurang tepat. Untuk mengatasi masalah ini, digunakan pendekatan Service Quality yang mengevaluasi gap antara persepsi pengunjung terhadap layanan yang diterima dengan harapan mereka. Metode SERVQUAL digunakan untuk menganalisis lima dimensi layanan: Bukti Fisik, Kehandalan, Daya Tanggap, Jaminan, dan Empati. Hasil pengujian menunjukkan adanya gap negatif pada dimensi Empati (-0,4), Kehandalan (-0,3), dan Jaminan (-0,2), yang memerlukan peningkatan. Sebaliknya, dimensi Bukti Fisik dan Daya Tanggap menunjukkan gap positif, menandakan pengunjung merasa puas dengan aspek-aspek ini. Hasil ini memberikan wawasan penting bagi pihak perpustakaan dalam mengidentifikasi area yang perlu diperbaiki untuk meningkatkan kualitas layanan ke depan.
Kata Kunci : mysql; php; service quality; tingkat kepuasan layanan
Abstract:Abstract: The village of Sumberjaya has considerable local economic potential through the management of the Bagjawaluya Village-Owned Enterprise (BumDes), particularly in the Mini Soccer, Campground, Kiosk Rental, Water…
Supply, and Village Internet business units. However, limitations in the use of digital technology and promotional media have resulted in low effectiveness of services to the community. This community service activity aims to support the optimization of company profile creation and online booking systems for existing business units at BumDes Bagjawaluya. The target partners in this activity are BumDes managers, with 15 participants involved. To measure the effectiveness of the activity, an evaluation method consisting of a pre-test and post-test was used to assess the increase in participants' understanding, as well as a questionnaire to explore their perceptions and readiness to adopt digital technology. The results of the activity showed an increase in understanding of company profile management by 86.67% and business unit ordering applications by 93.33%. These results indicate that the community service activity had a positive impact on improving the digital literacy of BumDes managers.
Keyword: BumDes; Company Profile; Digitalization; Ordering; Optimization
Abstrak: Desa Sumberjaya memiliki potensi ekonomi lokal yang cukup besar melalui pengelolaan Badan Usaha Milik Desa (BumDes) Bagjawaluya, khususnya pada unit usaha Mini Soccer, Bumi Perkemahan,Sewa Kios, Air weslik, Internet Desa. Namun, keterbatasan dalam pemanfaatan teknologi digital dan media promosi menyebabkan rendahnya efektivitas layanan kepada masyarakat. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk mendukung optimalisasi pembuatan company profile, dan sistem pemesanan online untuk unit usaha yang ada pada BumDes Bagjawaluya. Mitra sasaran dalam kegiatan ini adalah pengelola BumDes dengan jumlah peserta yang terlibat sebanyak 15 orang. Untuk mengukur efektivitas kegiatan, digunakan metode evaluasi berupa pre-test dan post-test untuk menilai peningkatan pemahaman peserta, serta kuisioner untuk menggali persepsi dan kesiapan mereka dalam mengadopsi teknologi digital. Hasil kegiatan menunjukkan peningkatan pemahaman untuk pengelolaan Company Profile 86,67%, aplikasi pemesanan unit usaha 93,33%. .Hasil ini menunjukkan bahwa kegiatan pengabdian memberikan dampak positif terhadap peningkatan literasi digital pengelola BumDes.
Kata Kunci: BumDes; Company Profile; Digitalisasi; Pemesanan; Optimalisasi
Abstract:Abstract: Reuse, Reduce and Recycle (3R) is the behavior of waste management into a valuable material that can increase the economic benefits of the community and reduce environmental damage affecting global warming. This…
s behavior is often used as a solution to improve the environment that has waste management problems. The purpose of this paper is to identify strategies for optimizing Community Based Independent Waste Management with the 3 R Concept (Reuse, Reduce, Recycle) in Sukaluyu Village, Karawang. This strategy is planned to be able to explore community participation that is bottom-up, starting from the identification of problems and needs of the community, socialization of the concept of 3 R in the household so that people can feel the benefits economically and preserve the environment.The implementation method consists of surveys, hearings, focus group discussions, training, and waste sorting self-practices. This activity is expected to not only improve the environmental quality of the Sukaluyu Village community, but also can change the perceptions and behavior of the community and local stakeholders regarding waste reduction and management. The most important conclusion of this community services is the emphasis on awareness and high involvement motivation of the community in waste management to create culture in the community.
Keywords: community participation; reuse reduce recycle; waste management
Abstrak: Reuse, Reduce dan Recycle (3R) adalah perilaku pengelolaan sampah menjadi bahan bernilai yang dapat meningkatkan manfaat ekonomis masyarakat dan mengurangi kerusakan lingkungan yang berdampak terhadap pemanasan global. Konsep 3 R ini sering dijadikan solusi untuk memperbaiki lingkungan yang memiliki masalah dalam pengelolaan sampah. Tujuan dari penulisan ini adalah untuk mengidentifikasi strategi optimalisasi Pengelolaan Sampah Mandiri Berbasis Masyarakat dengan konsep 3 R (Reuse, Reduce, Recycle) di Desa Sukaluyu, Karawang. Strategi ini direncanakan untuk menggali partisipasi masyarakat yang bersifat bottom-up, dimulai dari identifikasi masalah dan kebutuhan masyarakat, sosialisasi konsep 3R di rumah tangga sehingga masyarakat dapat merasakan manfaat secara ekonomis dan menjaga kelestarian lingkungan. Metode pelaksanaan terdiri dari survei, audiensi, focus group discussion, pelatihan, dan praktik mandiri pengolahan-pemilahan sampah. Kegiatan ini diharapkan tidak hanya meningkatkan kualitas lingkungan masyarakat Desa Sukaluyu, namun juga dapat mengubah persepsi dan perilaku masyarakat dan stakeholder setempat terkait pengurangan dan pengelolaan sampah. Kesimpulan penting dari pengabdian ini adalah adanya kesadaran dan motivasi keterlibatan masyarakat yang baik dalam pengelolaan sampah hingga dapat menciptakan budaya di masyarakat.
Kata kunci: partisipasi masyarakat; pengelolaan sampah; reuse reduce recycle
Abstract:Abstract: The rapid growth of e-commerce in Indonesia has increased consumer interactions with digital platforms, particularly Lazada, Tokopedia, and Blibli, resulting in a large volume of customer reviews that reflect consumer…
onsumer experiences and perceptions but have not been optimally utilized in business decision-making. The main issue addressed in this study is how to process customer review data to generate meaningful information regarding consumer opinions. This research aims to apply web scraping techniques to collect customer review data and conduct sentiment analysis to identify trends in consumer opinions across the three e-commerce platforms. The dataset consists of 3,000 customer reviews, with 1,000 reviews collected from each platform, covering aspects such as shopping experience, service quality, delivery process, and customer satisfaction. The research methodology includes data collection through web scraping, text preprocessing for data cleaning and normalization, sentiment analysis using machine learning approaches, and visualization of sentiment results. The findings indicate differences in the distribution of positive, negative, and neutral sentiments across platforms, reflecting variations in consumer experiences and service strategies. These results demonstrate that sentiment analysis based on customer reviews can serve as strategic input to improve service quality, business performance, and marketing strategies in Indonesia’s e-commerce sector.
Keywords: customer reviews; digital services; e-commerce; sentiment analysis; web scarping
Abstrak: Pertumbuhan pesat e-commerce di Indonesia meningkatkan interaksi konsumen dengan platform digital, khususnya Lazada, Tokopedia, dan Blibli, yang menghasilkan ulasan pelanggan dalam jumlah besar sebagai cerminan pengalaman dan persepsi konsumen, namun belum dimanfaatkan secara optimal dalam pengambilan keputusan bisnis. Permasalahan utama penelitian ini adalah bagaimana mengolah data ulasan tersebut agar dapat memberikan informasi yang bermakna mengenai opini konsumen. Penelitian ini bertujuan menerapkan web scraping untuk mengumpulkan data ulasan pelanggan serta melakukan analisis sentimen guna mengidentifikasi tren opini konsumen pada ketiga platform e-commerce tersebut. Data yang digunakan berjumlah 3.000 ulasan pelanggan, dengan masing-masing platform diwakili oleh 1.000 ulasan yang mencakup pengalaman berbelanja, kualitas layanan, proses pengiriman, dan tingkat kepuasan pelanggan. Metode penelitian meliputi pengambilan data menggunakan web scraping, pra-pemrosesan teks untuk pembersihan dan normalisasi data, analisis sentimen dengan pendekatan pembelajaran mesin, serta visualisasi hasil sentimen. Hasil penelitian menunjukkan adanya perbedaan distribusi sentimen positif, negatif, dan netral pada setiap platform, yang mencerminkan variasi pengalaman konsumen dan strategi layanan. Temuan ini menunjukkan bahwa analisis sentimen berbasis ulasan pelanggan dapat menjadi masukan strategis untuk meningkatkan kualitas layanan, kinerja bisnis, dan strategi pemasaran e-commerce di Indonesia.
Kata kunci: customer reviews; digital services;e-commerce;sentiment analysis;web scarping
Abstract:Abstract: The increasing use of digital banking applications has led to the need for a deeper understanding of user perceptions, especially through aspect-based sentiment analysis. This study aims to classify the sentiment…
nt of SeaBank app users by focusing on four main aspects: learnability, efficiency, technical issues or errors, and satisfaction. Review data totaling 1,971 comments were collected from the Google Play Store and labeled with sentiments based on the scores (ratings) given by users. The CRISP-DM approach serves as the methodological framework for this study, which includes five classification algorithms: Naïve Bayes, Support Vector Machine (SVM), k-Nearest Neighbor (k-NN), Decision Tree, and Random Forest. The evaluation results show that the SVM algorithm provides the best performance with the highest average value of the four aspects achieving accuracy of 93.91%, Precision of 91.16%, recall of 97.96% and F1-Measure of 94.33%. According to the research findings, the Support Vector Machine (SVM) algorithm provides the best performance when performing aspect-based sentiment analysis on text data from digital banking application reviews. The findings are expected to serve as a reference for the development of automated evaluation systems that rely on user opinions as the basis for decision making.
Keywords: aspects; CRISP-DM; digital Banking; seabank; sentiment analysis
Abstrak: Peningkatan pemakaian aplikasi perbankan digital mendorong perlunya pemahaman yang lebih dalam mengenai persepsi pengguna, terutama melalui analisis sentimen berbasis aspek. Penelitian ini bertujuan untuk mengklasifikasikan sentimen pengguna aplikasi SeaBank dengan berfokus pada empat aspek utama: kemudahan dipelajari (learnability), efisiensi penggunaan (efficiency), kendala atau kesalahan teknis (error), serta tingkat kepuasan (satisfaction). Data ulasan berjumlah 1.971 komentar dikumpulkan dari Google Play Store dan diberi label sentimen berdasarkan skor (rating) yang diberikan oleh pengguna. Pendekatan CRISP-DM berfungsi sebagai kerangka metodologis untuk penelitian ini, yang mencakup lima algoritma klasifikasi: Naïve Bayes, Support Vector Machine (SVM), k-Nearest Neighbor (k-NN), Decision Tree, dan Random Forest. Hasil evaluasi menunjukkan bahwa algoritma SVM memberikan performa terbaik dengan nilai rata-rata dari ke empat aspek tertinggi yang mencapai accuracy sebesar 93.91%, Precision sebesar 91.16%, recall sebesar 97.96% dan F1-Measure sebesar 94.33%. Menurut temuan penelitian, algoritma Support Vector Machine (SVM) memberikan kinerja terbaik saat melakukan analisis sentimen berbasis aspek pada data teks dari ulasan aplikasi Seabank. Temuan ini diharapkan dapat menjadi referensi bagi pengembangan sistem evaluasi otomatis yang mengandalkan opini pengguna sebagai dasar pengambilan keputusan.
Kata kunci: Analisis Sentimen, Aspek, Bank Digital, SeaBank, CRISP-DM
Abstract:Abstract: The use of e-learning in non-formal education is increasingly important to support the improvement of access to learning, one of which is through the online platform. This study aims to analyze the quality of online…
nline services using WebQual 4.0 and Im-portance Performance Analysis (IPA) methods to evaluate the suitability between user expectations and perceptions. The research method used a quantitative approach by distributing questionnaires to active users, then analyzed using the WebQual Index to measure the overall quality of the system as well as the IPA to determine improvement priorities. The results showed that the quality of SeTARA Online was relatively good with a WebQual Index value of 0.798. However, there is still a gap between user expectations and satisfaction with a negative gap value of -0.238. The IPA analysis identified indicators in Quadrant I as priority improvements, especially in the aspects of service interaction and information presentation. These findings underscore the need for continuous development of features and technical support to optimize the user experience. The conclusion of this study suggests that there should be improvements in priority indicators to increase user satisfaction, as well as strengthen the effectiveness of online learning. Advanced research can expand variables, compare with other platforms, and combine quantitative and qualitative analysis methods for more comprehensive results.
Keywords: e-learning; importance performance analysis; quality of service; online equivalent; webqual 4.0
Abstract:Abstract: The Halodoc application, as a digital healthcare service platform, has been widely used for various medical purposes, such as doctor consultations, medication purchases, and laboratory services. User interactions…
ns and reviews play a crucial role in enhancing service quality. Sentiment analysis was conducted using the Support Vector Machine (SVM) method to assess user perceptions and satisfaction based on reviews obtained from the Google Play Store platform. The analysis process included data collection, text preprocessing, data transformation using TF-IDF, and training an SVM model to predict sentiment. The model achieved its highest accuracy of 88.32% in the first scenario. However, accuracy slightly decreased in the second and third scenarios, reaching 86.25% and 86.94%, respectively. The analysis results indicated that the model performed best in the first scenario, with the lowest number of prediction errors. Additionally, the model was more accurate in classifying negative and positive sentiments than neutral ones.
Keywords: halodoc application; sentiment analysis; support vector machine algorithm
Abstrak: Aplikasi Halodoc, sebagai platform layanan kesehatan digital, telah banyak digunakan untuk berbagai keperluan medis seperti konsultasi dokter, pembelian obat, dan layanan laboratorium. Interaksi pengguna dan ulasan mereka memiliki peran krusial dalam meningkatkan mutu layanan. Analisis sentimen dilakukan dengan menggunakan metode Support Vector Machine (SVM) untuk mengetahui persepsi dan kepuasan pengguna berdasarkan ulasan yang diperoleh dari Platform Google Play Store. Proses analisis mencakup pengumpulan data, pra-pemrosesan teks, transformasi data menggunakan TF-IDF, dan pelatihan model SVM untuk memprediksi sentimen. Hasil pelatihan model dengan akurasi tertinggi sebesar 88,32% pada skenario pertama. Akurasi sedikit menurun pada skenario kedua dan ketiga, masing-masing sebesar 86,25% dan 86,94%, Hasil analisa menunjukkan bahwa model memiliki performa terbaik pada skenario pertama dengan jumlah kesalahan prediksi terkecil. Selain itu, model cenderung lebih akurat dalam mengklasifikasikan sentimen negatif dan positif dibandingkan netral..
Kata kunci: algoritma support vector machine; analisis sentimen; aplikasi halodoc
Abstract:Abstract: The current development of technology has successfully met various societal needs, one of which is the buying and selling activities. This development has led people to engage in online transactions, where buyers…
rs do not necessarily have to meet sellers in person. Tokopedia is one of the most popular e-commerce platforms used in Indonesia. Security issues arose when in 2020 Tokopedia experienced a breach, with data from around 91 million accounts being compromised by hackers. Consequently, Tokopedia needed to establish a Data Protection and Privacy Office (DPPO) to protect and safeguard user data privacy.This research addresses how perceptions of security and privacy can influence users' trust in transacting on Tokopedia. Using multiple linear regression analysis, the study evaluates the relationship between perceptions of data security and privacy with trust in transacting on Tokopedia. Based on the calculations of the multiple linear regression model using previously collected respondent data, it was found that perceptions of data security do not directly affect trust in transactions. However, perceptions of privacy are considered to have a significant influence and can increase trust in transactions among students in Pekanbaru.
Keywords: data security; e-commerce; tokopedia; transaction trust; user perceptions
Abstrak: Perkembangan teknologi saat ini telah sukses mencapai berbagai kebutuhan masayarakat salah satunya kegiatan jual beli, perkembangan ini membawa manusia untuk dapat melakukan jual beli secara online dimana tidak mengharuskan pembeli bertemu penjual secara langsung. Tokopedia menjadi salah satu platform e-commerce yang sangat popular digunkanan diindonesia. Masalah keamaan terjadi dimana pada tahun 2020 tokopedia mengalami peretasan dengan sekitar 91 juta akun berhasil diperoleh datanya oleh peretas, sehingga Tokopedia perlu membentuk data protection and privacy office (DPPO) guna melindungi dan menjaga privasi data pengguna Tokopedia.terkait hal tersebut penelitian ini mengangkat bagaimana persepsi keamanan dan privasi dapat mempengaruhi kepercayaan pengguna dalam bertransaksi ditokopedia. Dengan menggunakan metode regresi linear berganda, evaluasi dilakukan untuk menjelaskan hubungan antara persepi keamanan data dan privasi terhadap kepercayaan bertransaksi ditokopedia. Berdasarkan perhitungan model regresi linear berganda menggunakan data responden yang telah dilakukan sebelumnya didapat persepsi keamanan data terhadap kepercayaan bertransaksi tidak berpengaruh secara langsung. Namun pada persepsi privasi terhadap kepercayaan bertransaksi dinilai sangat berpengaruh dan dapat meningkatkan kepercayaan bertransaksi di kalangan mahasiswa di pekanbaru.
Kata kunci: e-commerce; keamanan data; kepercayaan transaksi; persepsi pengguna; tokopedia