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Sunda Ariana, Sunda
Universitas Bina Darma
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Edukasi Teknologi Digital Marketing Pada UMKM Produk Olahan Keripik Pisang Bintang, Muhammad Yuan; Amalia, Rahayu; Sopiah, Nyimas; Oktarina, Tri; Ariana, Sunda
Jurnal Pengabdian kepada Masyarakat Bina Darma Vol. 4 No. 2 (2024): Jurnal Pengabdian kepada Masyarakat Universitas Bina Darma
Publisher : DRPM-UBD

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/pengabdian.v4i2.2909

Abstract

Pemasaran penjualah suatu produk sangat berperan di dalam meningkatkan penjualan. Pemasaran produk di UMKM keripik pisang sejauh ini belum menggunakan digitalisasi atau pemasarannya masih belum online, sehingga diperlukan metode digital marketing untuk mendukung kenaikan proses penjualan. Metode ini yang menerapkan proses pemasaran tidak hanya melalui website tetapi juga bisa melalui media sosial. Pelatihan yang diterapkan kepada masyarakat Desa Pegayut Kecamatan Pemulutan Kabupaten Ogan Ilir adalah dengan menggunakan beberapa media social, diantaranya Facebook, Instagram, dan Tik Tok. kegiatan yang dilakukan dalam pengabdian ini adalah mulai dari meninjau lokasi sampai dengan melakukan pelatihan. Indikator keberhasilan dalam kegiatan ini adalah untuk melihat sejauh mana peserta dapat memasarkan produknya melalui digital. Pelaksanaan ini dianggap sudah berhasil dilakukan dan dianggap telah berjalan dengan baik dan lancar.
PELATIHAN PENGELOLAAN DIGITAL MARKETING UMKM NAIK KELAS DI PROVINSI LAMPUNG Sulaiman Helmi; Sunda Ariana; Muji Gunarto; Trievanni, Trievanni; Andri Pranata
JURNAL PENGABDIAN MANDIRI Vol. 3 No. 5: Mei 2024
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53625/jpm.v3i5.7765

Abstract

Kegiatan ini untuk berbagi pengetahuan tentang Digital Marketing Para Pelaku UMKM di Provinsi Lampung. Hasil kegiatan menunjukan banyak para pelaku UMKM tidak memahami serta mempergunakan ilmu digital marketing dalam meningkatan ilmu pengetahuan dan mempermudah mencari sumber penghasilan, dari sosialisasi ini diharapkan pelaku UMKM dapat memaksimalkan pengelolaan dalam peningkatan digital marketing. Para pelaku UMKM juga belum memiliki keterampilan untuk menjadikan digital marketing sebagai sumber penghasilan. Dengan dilaksanakan kegiatan pelatihan tersebut diharapkan bisa meningkatkan pengetahuan serta mengembangkan ketertarikan pelaku UMKM dalam pengelolaan digital marketing UMKM naik kelas di Provinsi Lampung
Upaya Meningkatkan Kemajuan UMKM Kemplang Asrania di Pemulutan Ilir Melalui Peningkatan Kualitas SDM Helmi, Sulaiman; Rosa, Alkirma; Ariana, Sunda
MBIA Vol. 23 No. 1 (2024): Management, Business, and Accounting (MBIA)
Publisher : Direktorat Riset dan Pengabdian kepada Masyarakat Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/mbia.v23i1.2885

Abstract

Micro, Small, and Medium Enterprises (MSMEs) play an important role in the Indonesian economy but still require development, especially in improving the quality of human resources. Focusing on improving human resources in MSMEs, such as those of Ms. Asrania's Kemplang Business in Pemulutan Ilir, is crucial to improving the competitiveness and sustainability of MSMEs. The study aimed to investigate ways to enhance the advancement of Kemplang MSMEs by enhancing the caliber of their workforce. This endeavor seeks to offer deeper insights and a significant contribution to the field of science, particularly in the micro, small, and medium-sized economies, laying a foundation for future research in this domain. The MSME development program through improving human resources in Pemulutan Ilir Village lasted for two months and targeted the community around the village. "The techniques applied were participatory and action research, which involved the participation of students and villagers to address specific problems faced by MSMEs and play a role in advancing the local economy. Kemplang Asrania MSMEs improve employee skills through hands-on training, on-the-job methods, demonstrations, and examples. They also apply Coaching and Counseling as a short-term educational approach while still taking into account work experience when hiring the team. Training, coaching, and counseling have positively impacted the business's sustainability and development while paying attention to Sharia's values in improving the quality of human resources. Keywords: MSMEs, Human Resources, Quality Improvement Abstrak Usaha Mikro Kecil Menengah (UMKM) memegang peranan penting dalam ekonomi Indonesia, tetapi masih memerlukan pengembangan terutama dalam meningkatkan kualitas SDM. Fokus pada peningkatan SDM di UMKM, seperti yang dilakukan oleh Usaha Kemplang Ibu Asrania di Pemulutan Ilir, menjadi krusial untuk meningkatkan daya saing dan keberlanjutan UMKM. Penelitian dilaksanakan dengan maksud untuk mengeksplorasi upaya meningkatkan kemjuan UMKM Kemplang melalui peningkatan kualitas SDM, diharapkan memberikan pemahaman yang lebih baik dan kontribusi penting dalam pengembangan ilmu pengetahuan terutama dalam konteks ekonomi mikro, kecil, dan menengah serta menjadi dasar bagi penelitian lanjutan di bidang ini. Program pengembangan UMKM melalui peningkatan SDM di Desa Pemulutan Ilir yang berlangsung selama 2 bulan dengan sasaran masyarakat sekitar desa. Teknik yang diterapkan adalah partisipatif dan penelitian aksi, yang melibatkan partisipasi penduduk desa untuk menangani masalah spesifik yang dihadapi UMKM, serta berperan dalam memajukan perekonomian lokal. UMKM Kemplang Asrania meningkatkan keterampilan karyawan melalui pelatihan langsung, metode On the Job, serta demonstrasi dan example. Mereka juga menerapkan Coaching dan Counseling sebagai pendekatan pendidikan jangka pendek, sambil tetap memperhitungkan pengalaman kerja saat merekrut tim. Training, Couching dan Counseling ini telah berdampak positif bagi keberlangsungan dan perkembangan usaha, sambil memperhatikan nilai-nilai syariah dalam peningkatan kualitas SDM. Kata kunci: UMKM, SDM, Peningkatan Kualitas
PKM for MSME Actors Through Creative Economy-Based Business Development and Digital Marketing in MSMEs Fostered by the Jambi Province Culture and Tourism Office Helmi, sulaiman; Ariana, Sunda; Gunarto, Muji; Sofyan, Yayan; Marina, Marina
International Journal of Community Service & Engagement Vol. 6 No. 1 (2025): International Journal of Community Service & Engagemen
Publisher : Training & Research Institute - Jeramba Ilmu Sukses

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47747/ijcse.v6i1.2460

Abstract

The main objective of Community Service (PKM) is to disseminate knowledge to the community around the University. In addition, the objective of Community Service (PKM) is to bring educational institutions closer to the community, so that universities can assist the government in accelerating the pace of the community's economy and preparing quality development cadres. The target of this Community Service (PKM) activity is counseling and training for Creative Economy Actors of UMKM in Jambi Province. This aims to increase the knowledge of the community and the benefits of this service can be received by Creative Economy Actors of UMKM. Digital marketing has been proven to provide various benefits, such as lower costs, wider market reach, and direct interaction with consumers
Corporate Social Responsibility and Firm Size on Earnings Management: Financial Profitability as Mediating Variable Sunda Ariana; Setyani Dwi Lestari; Suharno Pawirosumarto; Yuwono Yuwono; Sundari Soekotjo
Atestasi : Jurnal Ilmiah Akuntansi Vol. 5 No. 2 (2022): September
Publisher : Pusat Penerbitan dan Publikasi Ilmiah, FEB, Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57178/atestasi.v5i2.330

Abstract

This study examines and determines the effect of corporate social responsibility disclosure and firm size on earnings management with profitability as an intervening variable in banking companies listed on the Indonesia Stock Exchange. The population in this study are banking companies listed on the Indonesia Stock Exchange for the 2019-2021 period, a total of 43 banking companies. The sampling technique used in this study used purposive sampling, so the research data obtained were 11 banks. The data source used in this study is secondary data in the form of annual financial statements of banking companies listed on the Indonesia Stock Exchange (IDX) for 2019-2021. The analytical method consists of descriptive statistical analysis, classical assumption test (normality test, multicollinearity test, heteroscedasticity test) and testing all hypotheses through multiple linear regression analysis, path analysis, t-test and coefficient of determination test. The results show that CSR disclosure has a positive and insignificant effect on earnings management in banking companies listed on the Indonesia Stock Exchange. Firm size negatively and significantly impacts earnings management in banking companies listed on the Indonesia Stock Exchange. Profitability positively and substantially affects earnings management in banking companies listed on the Indonesia Stock Exchange. CSR disclosure has a positive and insignificant impact on banking companies' profitability on the Indonesia Stock Exchange. Firm size positively and significantly affects profitability in banking companies listed on the Indonesia Stock Exchange. Profitability cannot influence CSR disclosure and company size on earnings management in banking companies listed on the Indonesia Stock Exchange.
Tantangan Dan Peluang Digitalisasi Sistem Perpajakan Di Negara Berkembang Jaya, Ade Kemala; Corly, Fery; Ariana, Sunda; Trisninawati, Trisninawati; Helmi, Sulaiman; Fitriasuri, Fitriasuri
MBIA Vol. 24 No. 1 (2025): Management, Business, and Accounting (MBIA)
Publisher : Direktorat Riset dan Pengabdian kepada Masyarakat Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/bgqf1t66

Abstract

The modernization of tax administration through digital transformation has become a vital approach to improving the effectiveness of tax systems and encouraging greater taxpayer compliance. This research examines the practical applications of digital tax initiatives, specifically the utilization of technology-enabled administrative tools and the potential integration of digital carbon taxation in combating climate change. It also emphasizes the role of digitalization in advancing Sustainable Development Goals (SDGs), particularly SDG 16.6 (effective, accountable, and transparent institutions) and SDG 17.1 (strengthening domestic resource mobilization). Employing a descriptive analysis approach with thematic coding of various case studies and international reports, the findings reveal that comprehensive digitalization of tax systems can increase tax revenues in developing countries by billions of dollars annually. The study recommends further research on the role of artificial intelligence (AI) in tax auditing and its potential effects on the tax systems of small island nations. Keywords: digital transformation, tax administration, digital tax, tax compliance, SDGs Abstrak Transformasi digital dalam administrasi perpajakan menjadi fokus utama untuk meningkatkan efisiensi sistem pajak dan kepatuhan wajib pajak. Studi ini mengeksplorasi implikasi praktis dari strategi digitalisasi perpajakan, termasuk implementasi sistem administrasi berbasis teknologi, serta potensi penerapan pajak karbon digital dalam konteks perubahan iklim. Studi ini juga menyoroti kontribusi digitalisasi terhadap pencapaian target Sustainable Development Goals (SDGs) 16.6 dan 17.1. Dengan pendekatan analisis deskriptif menggunakan metode coding tematik terhadap berbagai studi kasus dan laporan internasional, temuan menunjukkan bahwa implementasi penuh digitalisasi perpajakan dapat meningkatkan penerimaan pajak negara berkembang hingga miliaran dolar setiap tahun. Penelitian lebih lanjut direkomendasikan untuk mengkaji pengaruh artificial intelligence (AI) dalam proses audit pajak dan dampaknya terhadap sistem perpajakan di negara kepulauan kecil. Kata kunci: transformasi digital, administrasi pajak, pajak digital, kepatuhan pajak, SDGs
Peran Big Data Dan Artificial Intelligence Dalam Optimalisasi Pengawasan Pajak Corly, Fery; Ariana, Sunda; Trisninawati, Trisninawati; Fitriasuri, Fitriasuri; Perdana, Bosya; Saputra, Dhimas Rosanto
MBIA Vol. 23 No. 3 (2024): Management, Business, and Accounting (MBIA)
Publisher : Direktorat Riset dan Pengabdian kepada Masyarakat Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/cw2tyd15

Abstract

The integration of Big Data and Artificial Intelligence (AI) into tax supervision has significantly improved anomaly detection and compliance monitoring. This study examines the application of these technologies across 12 countries, highlighting their influence on modern tax governance. The findings reveal that AI-driven models enhance the accuracy of tax anomaly detection by 40–78% in countries with a digital maturity index above 0.65 but show limited improvements of only 12–15% in contexts with fragmented infrastructure. Critical success factors include the availability of well-labeled historical datasets, the analytical capacity of human resources in interpreting machine learning outputs, and regulatory frameworks that support algorithmic audits. A hybrid federated learning model combined with blockchain was found to boost detection accuracy while reducing central computing requirements by 35%. This research extends the Technology–Organization–Environment (TOE) framework by underscoring the pivotal role of data governance in digital economy taxation. Strategic recommendations include the development of integrated tax data lakes, enhancing AI literacy among tax authorities, and establishing legal frameworks to ensure algorithmic transparency and accountability. Implementing these strategies is projected to increase national tax compliance rates by 25–40% over the next five years while mitigating risks associated with the digital divide. Keywords: Big Data, Artificial Intelligence, Tax Compliance.   Abstrak Kemajuan teknologi digital telah membawa perubahan signifikan dalam sistem perpajakan global, khususnya melalui pemanfaatan Big Data dan kecerdasan buatan (AI) dalam deteksi anomali dan prediksi risiko wajib pajak. Penelitian ini menganalisis implementasi teknologi tersebut di 12 negara dengan fokus pada efektivitas, tantangan, serta faktor keberhasilan utama. Hasil penelitian menunjukkan bahwa penerapan Big Data dan AI mampu meningkatkan efektivitas pengawasan pajak sebesar 40-78% pada negara dengan indeks kematangan digital di atas 0,65, tetapi hanya 12-15% di negara dengan infrastruktur terfragmentasi. Faktor utama yang memengaruhi keberhasilan implementasi teknologi ini meliputi ketersediaan dataset historis yang berkualitas, kapasitas analitik sumber daya manusia, serta kerangka regulasi yang mendukung audit berbasis algoritma. Model hybrid federated learning dengan integrasi blockchain terbukti meningkatkan akurasi deteksi anomali pajak sekaligus mengurangi kebutuhan komputasi sentral sebesar 35%. Temuan ini memperkuat teori adaptasi teknologi organisasi dengan menambahkan dimensi data governance sebagai variabel krusial dalam implementasi teknologi pajak. Rekomendasi strategis diajukan untuk otoritas pajak, pembuat kebijakan, serta penelitian lanjutan guna meningkatkan kepatuhan pajak nasional secara berkelanjutan. Kata Kunci: Big Data, Kecerdasan Buatan, Kepatuhan Pajak.
EVOLVING TRENDS IN HUMAN RESOURCE MANAGEMENT RESEARCH WITHIN TOURISM: INSIGHTS FROM A BIBLIOMETRIC ANALYSIS Sunda Ariana; Sulaiman Helmi; Malik Cahyadin; Deshinta Arrova Dewi; Mashal Kasem Alqudah
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 9 No. 1 (2025): Volume 9, Nomor 1, March 2025
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v9i1.35392

Abstract

Human Resource Management (HRM) is a strategic approach to managing people effectively in tourism companies, providing a competitive edge. This study aims to reveal research trends from 2020 to 2022 through a bibliometric and content analysis of HRM-related articles in the tourism industry. A total of 1,086 Scopus-indexed articles were analyzed using R Studio with the bibliometric package. Key metrics such as countries, authors, and institutions contributing to HRM research were examined. The findings show that the United States and China were the most productive countries in article output, with Wang and Zhang identified as the most prolific authors and Netreported as the leading institution. Emerging themes and keywords were also identified, indicating significant areas of focus in HRM research. The results highlight that HRM remains a trending topic in the tourism sector, driven by its role in enhancing organizational performance. This study is one of the few to provide a comprehensive bibliometric analysis of HRM in tourism, offering insights into global research productivity and trends over three years. The findings have practical implications for both academia and industry, suggesting that future research should focus on specific HRM practices that can further improve competitiveness in the tourism sector. These insights can guide tourism companies in refining HRM strategies to enhance performance and adaptability.
EARLY DETECTION OF ACADEMIC DEPRESSION USING SMARTPHONE-BASED MACHINE LEARNING MODELS Edi Surya Negara; Latius Hermawan; Hastari Mayrita; Desy Arisandy; Mohamad Farozi; Rahmat Ramadan; Sunda Ariana; Ria Andryani
Jurnal Ilmiah Ilmu Terapan Universitas Jambi Vol. 9 No. 3 (2025): Volume 9, Nomor 3, September 2025
Publisher : LPPM Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/jiituj.v9i3.46375

Abstract

Mental health in developing countries is a common and complex problem. The problem continues to increase and is closely related to low self-confidence, negative interpersonal relationships, and academic depression. This can affect students' ability to complete academic assignments on a university scale. An AI-based early detection application can potentially improve mental health services related to treatment access. This system can help identify users who may be depressed based on the language used, especially for those who are reluctant to seek professional solutions due to the negative stigma of mental health. This study uses a qualitative descriptive method involving observation, in-depth analysis of group conversations, and early detection of academic depression by identifying conversation patterns between students and counselors as the basis for developing a smartphone-based application. This study produced a dataset of 395 depression-level data entries used as training data to develop a machine-learning model. A prototype of an academic depression detection application has been developed as a mobile-based application.
Filter Bubble Phenomenon on Instagram and Its Impact on Teenagers Lifestyle and Social Interaction Misnawati, Desy; Perdana, Bosya; Ariana, Sunda; Damayanti, Novita; Saputra, Dhimas Rosanto
Aptisi Transactions On Technopreneurship (ATT) Vol 7 No 3 (2025): November
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v7i3.692

Abstract

This research aims to analyze the phenomenon filter bubble on Instagram and its impact on lifestyle changes and social interactions of teenagers aged 16-20 years in Palembang. Instagram, as a visual-based social media platform, uses Artificial Intelligence (AI) algorithms to customize and filter content according to user preferences, which can influence user thought patterns, attitudes and behavior. In this research, a qualitative approach was used with literature study methods and content analysis. Data was collected through in-depth interviews with teenagers in Palembang who actively use Instagram. The research results show that filter bubble influencing teenagers in adopting lifestyle trends, especially in terms of appearance and beauty, such as the use of makeup which often appears in Instagram feeds. In addition, this phenomenon also contributes to the formation of homogeneous social groups, where teenagers are more likely to interact with individuals who have similar interests, while different views tend to be ignored. Based on Information Integration Theory, this research explains that information received via social media, which is filtered by the Instagram algorithm, shapes teenagers attitudes and behavior. The conclusion of this research is that the phenomenon filter bubble has a significant impact on the development of teenagers lifestyles and social interactions, which has the potential to narrow their horizons to various perspectives. Therefore, better digital literacy is needed to help teenagers be more critical in consuming information on social media.
Co-Authors Ade Kemala Jaya, Ade Kemala Amalia , Rahayu Amalia, Rahayu Andri Andri Andri Pranata Andries Anwar Andryani, Ria Antonius Setyadi Bintang, Muhammad Yuan Corly, Fery Dedi Irawan Deshinta Arrova Dewi Desy Arisandy Dewi Sartika Edi Surya Negara Fero Triando Ferry Kurniawan Fitriasuri, Fitriasuri Hadi Syahputra Hastari Mayrita Kurniawan, Tri Basuki Latius Hermawan Malik Cahyadin Margareta Andriani Marina Marina Mashal Kasem Alqudah Misnawati, Desy Mohamad Farozi Muhamad Ariandi Muhammad Chaikal Surya Nugraha Muji Gunarto Nina Paramithya Noer Fadzri Perdana Dinata Novita Damayanti Nyimas Sopiah Oktarina, Tri Perdana, Bosya Rahmat Ramadan Ria Andriani Rosa, Alkirma Rosmaidar Rosmaidar Saputra, Dhimas Rosanto Setyani Dwi Lestari Steffanus Jordy Suharno Pawirosumarto Sulaiman Helmi Sulaiman Sulaiman Sundari Soekotjo Suryanto Suryanto Syahril Rizal Tri Oktarina Trievanni, Trievanni Trisninawati Trisninawati, Trisninawati Yanti Pasmawati YAYAN SOFYAN Yunata Kandias Akbar Yuwono Yuwono