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Analisis Strategi Komunikasi Pemasaran dalam Meningkatkan Customer Engagement Produk Kecantikan di TikTok Angelin, Angelin; Paramita, Sinta
Prologia Vol. 8 No. 2 (2024): Prologia
Publisher : Fakultas Ilmu Komunikasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/pr.v8i2.27615

Abstract

The presence of TikTok as one of the most widely used social media platforms has been notable. According to data from datareportal.com, the advertising reach potential on TikTok in Indonesia has increased by 40 million, or 58 percent. Alongside this development is the growing popularity of the beauty industry as one of the largest industries in Indonesia. The beauty industry continues to experience significant growth, driven by emerging beauty trends and increased societal awareness of the importance of personal appearance. This situation places Barenbliss, as a beauty brand, in the position of needing to compete in a highly competitive beauty industry.The focus of this research is to analyze marketing communication strategies to enhance customer engagement on the TikTok account Barenbliss_id. The research method employed is a case study with a qualitative approach. The analysis and findings in this research are constructed from the marketing communication theory through the five elements of the promotional mix: advertising, personal selling, public relations, sales promotion, and direct marketing. The results of this research highlight the aspects emphasized in the marketing communication strategy on the Barenbliss TikTok account in enhancing implemented customer engagement. The conclusion drawn is that Barenbliss utilizes a promotion mix in the process of enhancing customer engagement on its TikTok account. Hadirnya tiktok sebagai salah satu platform media sosial yang paling banyak digunakan masyarakat. Dilansir dari datareportal.com, potensi jangkauan iklan di TikTok di Indonesia meningkat sebesar 40 juta atau 58 persen. Seiring perkembangan tersebut, disusul dengan meningkatnya popularitas industri kecantikan sebagai salah industri terbesar di Indonesia. Perkembangan industri kecantikan terus meningkat secara signifikan seiring dengan munculnya tren kecantikan terbaru, dan kesadaran masyarakat terkait pentingnya penampilan diri. Hal tersebut membuat Barenbliss selaku salah satu brand kecantikan harus mampu bersaing dalam persaingan industri kecantikan yang sangat ketat. Fokus dari penelitian ini adalah menganalisis strategi komunikasi pemasaran dalam meningkatkan customer engagement pada akun TikTok Barenbliss_id. Metode yang digunakan dalam penelitian ini adalah studi kasus dengan pendekatan kualitatif. Analisis dan kajian dalam penelitian ini dikonstruksi dari teori komunikasi pemasaran melalui lima elemen bauran promosi yaitu periklanan, penjualan pribadi, hubungan masyarakat, promosi penjualan, dan pemasaran langsung. Hasil dari penelitian ini menunjukan aspek-aspek yang ditonjolkan dari strategi komunikasi pemasaran pada akun TikTok Barenbliss dalam meningkatkan customer engagement yang diimplementasikannya. Didapatkan kesimpulan bahwa Barenbliss mengimplementasikan promotion mix dalam proses meningkatkan customer engagement pada akun tiktoknya.
Pengaruh Profitabilitas, Pajak, Leverage Dan Ukuran Perusahaan Terhadap Transfer Pricing Gurusinga, Latersia Br; Yusnaini, Yusnaini; Angelin, Angelin
Jurnal Akuntansi dan Keuangan Kontemporer (JAKK) Vol 7, No 2: Vol 7 No 2
Publisher : Jurnal Akuntansi dan Keuangan Kontemporer (JAKK)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/jakk.v7i2.19580

Abstract

Tujuan Penelitian: Untuk mengetahui dan menganalisis apakah profitabilitas, pajak, leverage dan ukuran perusahaan berpengaruh terhadap transfer pricing.Metode Penelitian: Menggunakan data sekunder dengan mengumpulkan laporan keuangan perusahaan transportasi yang diunduh dari website BEI. Populasi perusahaan transportasi terdiri dari 56 perusahaan dengan menggunakan teknik penentuan sampel berupa purposive sampling dengan memperoleh sampel yang memenuhi kriteria dalam penelitian ini sebanyak 27 perusahaan. Teknik analisis data yang digunakan regresi linier bergandaOriginalitas / Novelty: Penelitian ini menggunakan pendekatan terhadap transfer pricing melalui hal yang belum banyak dijelajahi sebelumnya. Dengan menggunakan data terbaru dari industri transportasi yang kurang terwakili dalam literatur sebelumnya, serta periode waktu yang mencakup perubahan regulasi saat ini, untuk mengungkap tren baru dalam praktik transfer pricing. Selain itu studi kasus dan analisis kualitatif melalui kajian literatur yang relevan dengan objek penelitian untuk memahami alasan di balik keputusan transfer pricing,Hasil penelitian: Pada penelitian menunjukkan profitabilitas dan ukuran perusahaan berpengaruh positif dan signifikan terhadap transfer pricing, pajak berpengaruh negatif dan signifikan terhadap transfer pricing dan leverage tidak berpengaruh terhadap transfer pricing.Implikasi: Pada temuan penelitian ini dapat dijadikan sebagai bahan pertimbangan bagi investor dalam melakukan investasi dalam suatu perusahaan agar tidak terjadi kerugian.Research Objective: To find out and analyze whether profitability, taxes, leverage and company size have an effect on transfer pricing.Research Method: Using secondary data by collecting transportation company financial reports downloaded from the BEI website. The population of transportation companies consisted of 56 companies using a sampling technique in the form of purposive sampling by obtaining samples that met the criteria in this research, totaling 27 companies. The data analysis technique used is multiple linear regressionOriginality / Novelty: This research uses an approach to transfer pricing that has not been explored before. Using recent data from a transportation industry that has been underrepresented in previous literature, as well as a time period that includes recent regulatory changes, to reveal new trends in transfer pricing practices. Apart from that, case studies and qualitative analysis through literature reviews that are relevant to the research object to understand the reasons behind transfer pricing decisions.Research results: The research shows that profitability and company size have a positive and significant effect on transfer pricing, tax has a negative and significant effect on transfer pricing and leverage has no effect on transfer pricing.Implications: The findings of this research can be used as consideration for investors when investing in a company to avoid losses.
The Influence of Organizational Culture on Financial Reporting Quality: The Mediating Role of Innovation, Risk Management Implementation, and Sustainability Reporting in Sharia Rural Bank Angelin, Angelin; Yuwono, Wisnu; Yulfiswandi, Yulfiswandi
Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE) Vol 8 No 3 (2025): Sharia Economics
Publisher : Universitas KH. Abdul Chalim Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/iijse.v8i3.8521

Abstract

This study aims to analyze the influence of organizational culture on the quality of financial reporting in Sharia Rural Bank (BPRS) in Indonesia, by examining the mediating roles of risk management implementation, innovation, and sustainability reporting. The primary issue addressed in this research is the high closure rate of BPRS, which is largely attributed to the lack of integrity and transparency in financial reporting. A quantitative research approach was employed, utilizing purposive sampling techniques to collect data from 129 respondents, including directors, managers, and division heads across various BPRS institutions. Data were gathered through an online questionnaire and analyzed using the SmartPLS software. The findings reveal that organizational culture has a significant positive effect on risk management effectiveness, innovation, and sustainability reporting, all of which subsequently contribute to enhancing financial reporting quality. Moreover, the mediating variables are proven to strengthen the relationship between organizational culture and financial reporting quality. Based on these findings, it is recommended that BPRS institutions foster a corporate culture that promotes innovation, effective risk management, and sustainability in order to ensure reliable and Sharia-compliant financial reporting. Future research is encouraged to explore additional influencing factors, such as corporate governance and information technology, within the context of Islamic banking.
Classifying classical music’s therapeutic effects using deep learning: a review Angelin, Angelin; Sanjaya, Samuel Ady; Kristiyanti, Dinar Ajeng
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 6: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i6.pp4933-4942

Abstract

Mental health issues are the leading cause of global disability, increasing the need for treatment options. While there is much research on the emotional recognition of music in general, there is a gap in studies that directly connect musical features with their therapeutic effects using deep learning. This systematic literature review explores the use of deep learning in classifying the therapeutic effects of classical music for mental health. Following the preferred reporting items for systematic reviews and meta-analyses (PRISMA) framework, a total of 15 papers were reviewed. This review synthesized studies on the role of musical elements that affect mental states. Different feature extraction methods, including mel-frequency cepstral coefficients (MFCCs), spectral contrast, and chroma features, are discussed for their roles in classifying these therapeutic effects. This review also looks at deep learning algorithms like convolutional neural network (CNN), deep neural network (DNN), long short-term memory (LSTM) network, and combined models to assess their effectiveness. Common evaluation methods are also assessed to measure the performance of these models in audio classification. This review highlights the potential of combining deep learning with classical music for mental health support, and to future possibilities for applying these methods in the real world.