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All Journal Management and Economics Journal (MEC-J) Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Akuntansi, Ekonomi dan Manajemen Bisnis
Jennifer Farihatul Bait
Universitas Muhammadiyah Lamongan
Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Health Professions Public Health Social Sciences

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PENERAPAN DIGITAL MARKETING SEBAGAI STRATEGI DALAM MENINGKATKAN PEMASARAN UMKM Adi Lukman Hakim; Erna Nur Faizah; Mega Barokatul Fajri; Rizky Wahyudha Rosiawan; Jennifer Farihatul Bait
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 4 No. 2 (2023): Volume 4 Nomor 2 Tahun 2023
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v4i2.13138

Abstract

Perkembangan teknologi internet menjadi penanda masuknya era revolusi industri 4.0. Kehadiran internet yang memiliki kemampuan untuk mengakses informasi dengan cepat dan mudah, menjadi peluang baru bagi UMKM untuk memasarkan produknya karena internet telah mengubah aturan dasar pemasaran di dunia yang tradisional menjadi digital marketing. Tujuan dari kegiatan ini adalah memberikan pelatihan dan pendampingan kepada Ibu-Ibu PKK dan masyarakat yang mempunyai UMKM tentang implementasi digital marketing sebagai strategi dalam memasarkan produk serta menginovasikan dan kreativitas produk UMKM di Desa Tracal. Adapun tahap pelatihan dan pendampingan, terdiri dari beberapa kegiatan yaitu: (1) pengenalan digital marketing (2) Pengenalan e-commerce (3) Pengenalan packaging dan branding, (4) Dokumentasi produk (5) pembuatan produk. Kegiatan dalam pengabdian menggambarkan bahwa peningkatan produk UMKM yang ada di Desa Tracal memiliki e-commerce sebagai alat untuk melakukan promosi produk, pemilik UMKM pemahaman tentang Digital Marketing serta mampu mengelola e-commerce dan paham mengenai inovasi produk UMKM. Sehingga dapat menunjukkan bahwa dalam mengimplementasikan digital marketing berpengaruh dalam meningkatkan pemasaran UMKM dan pengimplementasiaanya memberikan manfaat dan kendala yang mengiringinya.
What Factors Affect Hedging? Empirical Evidance from Indonesia Mega Barokatul Fajri; Guruh Marhaenis Handoko Putro; Jennifer Farihatul Bait; Ira Megasyara
MEC-J (Management and Economics Journal) Vol 7, No 1 (2023)
Publisher : Faculty of Economics, State Islamic University of Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/mec-j.v7i1.19277

Abstract

This research aims to analyze each of the operational and financial factors that can be used as variables influencing decisions and the intensity of hedging. There are two test analysis model used in this study, the first to test the company decision to hedge as a measured by using dummy variables and the second model is used to test the intensity of the company in hedging as measured by the ratio of derivative and natural logarithm of derivative. By using Probit and Tobit regression, the results of the logistic regression test show that financial factors such as financial distress, and leverage, and so operational factors such as foreign sales variables did not influence the firm's decisions and intensity in carrying out hedging activities. Foreign debt variables, profitability, and firm size that include financial factors have a positive influence on company decisions and intensity in carrying out hedging decisions, while the last part of financial factors such as growth opportunity variables only has a positive effect on company decisions in carrying out hedging activities and have no effect on the intensity of firms in hedging activities. The liquidity variable has a negative influence on the decisions and intensity of the company in conducting hedging activities. The originality of this study lies in the intensity factor of the use of hedging on the company's operations and finances in hedging, whereas in previous studies only focused on the influence of factors that can influence hedging decisions.
Eksplorasi Pengaruh Teknologi Kecerdasan Buatan Ter-hadap Efisiensi dan Produktivitas Pegawai di RSUD Dr. Soegiri Lamongan Eka Ainur Rohmah; Rudi Wibowo; Jennifer Farihatul Bait; Suyitno Suyitno
Jurnal Akuntansi, Ekonomi dan Manajemen Bisnis Vol. 5 No. 2 (2025): Juli : Jurnal Akuntansi, Ekonomi dan Manajemen Bisnis
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jaemb.v5i2.7031

Abstract

This study aims to explore the impact of the application of artificial intelligence (AI) technology on the efficiency and productivity of employees at Dr. Soegiri Lamongan Hospital. With the development of AI technology in the healthcare sector, this research is important to understand how this technology affects the quality of work of employees as well as operational productivity in hospitals. The method used was a descriptive qualitative approach with data collection through semi-structured interviews with 10 informants consisting of medical, administrative, and managerial employees. Data analysis was carried out using thematic analysis techniques to identify key patterns and themes in the interview data. The results of the study show that the application of AI at Dr. Soegiri Lamongan Hospital increases employee productivity by speeding up administrative and medical processes, as well as allowing employees to focus more on more complex tasks. Although some employees expressed concerns about job replacement, most felt more supported and efficient with the help of this technology. These findings contribute to the literature on AI adoption in the healthcare sector, by showing that AI can improve work efficiency without compromising employee psychological well-being. The conclusion of the study is that AI has great potential to improve productivity and efficiency in hospitals, with a positive impact on employee well-being. The study suggests that hospitals provide more intensive training and managerial support in implementing this technology, and proposes further research to explore more in-depth psychological factors related to the application of AI in the healthcare sector.
Co-Authors Adi Lukman Hakim Eka Ainur Rohmah Erna Nur Faizah Fajri, Mega Barokatul Guruh Marhaenis Handoko Putro Ira Megasyara Rizky Wahyudha Rosiawan Rudi Wibowo Suyitno Suyitno