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Sosialisasi dan pelatihan pemasaran digital dan pencatatan keuangan secara sederhana pada UMKM di Desa Tanjung Sari Rangkuti, Yulita Molliq; Karo Karo, Ichwanul Muslim; Ahyar, Khoirul; Wibowo, Adinda; Haraha, Melyana; Natasya, Amanda; Rahayu, Fitri; Mutiara Sihaloho, Laura Adelia; Anggraini, Nisa Putri
TEKMULOGI: Jurnal Pengabdian Masyarakat Vol 4, No 1 (2024): Mei 2024
Publisher : Universitas Pendidikan Indonesia (UPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/tmg.v4i1.68402

Abstract

The development of the digital era encourages business actors to be able to adjust to the times. Currently, there are still many micro, small and medium enterprises (MSMEs) that do not understand digital marketing in developing their business, resulting in going out of business.  Training and mentoring efforts are needed to help MSME entrepreneurs, especially in rural areas, to survive. Tanjung Sari Village, Batang Kuis Subdistrict, North Sumatra has three active MSMEs, Mrs. Nining's MSME with tempeh products, Uban Fiber Decoration MSME, and Keset Kaki. The three MSMEs have limited digital marketing knowledge. This activity aims to train digital marketing for these MSME entrepreneurs and assist them in simple financial accounting. Activities include surveys, socialization and training and evaluation. Training activities include digital marketing and training in making simple financial bookkeeping. The series of activities received positive responses and community satisfaction and are expected to help MSME players survive in the midst of digital marketing trends and support MSME players in developing their businesses in the future.
Pendampingan Pembuatan Web Profil Perusahaan Sebagai Media Promosi Pada PT. Ratakan Media Kreasi Sandradewi, Kumaratih; Ahyar, Khoirul; Retno Wahyu Utami, Yustina; Ady Prabowo, Iwan; Irawati, Tri; Remawati, Dwi
Jurnal Pengabdian Masyarakat Teknologi dan Pendidikan (MANTAP) Vol. 1 No. 2 (2024): Jurnal Pengabdian Masyarakat Teknologi dan Pendidikan (Jurnal Mantap)
Publisher : Redtech Putra Benua

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

Abstract

The digitalization of business has increasingly become an urgent need, especially in efforts to expand marketing reach and enhance consumer trust. PT. Ratakan Media Kreasi, as a company engaged in digital marketing, requires an online platform capable of displaying the company profile professionally and accessibly. This community service activity aims to design and develop a company profile website that can function as a promotional medium and a means of communication with potential clients and business partners. This website is expected to continuously support PT. Ratakan Media Kreasi in achieving digital marketing objectives and sustainably increasing its online presence. This community service activity provides long-term benefits for the company in facing competition in a dynamic digital era.
Classification of Program Keluarga Harapan Assistance Recipients Using a Website-Based Support Vector Machine Algorithm (Case Study: Panyabungan Kota Subdistrict) Ahyar, Khoirul
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 2 (2026): February 2026
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i2.1941

Abstract

Program Keluarga Harapan (PKH) is a social assistance program aimed at reducing poverty by providing financial aid to eligible families. This research focuses on the development and implementation of the Support Vector Machine (SVM) algorithm to classify PKH recipients in Panyabungan Kota Subdistrict, Mandailing Natal Destrict. The classification process utilizes factors such as family income, number of family members, and the presence of elderly members. These three factors are chosen due to their availability from public records, ensuring the privacy of participants. The classification model developed in this study is implemented in a web-based system built with PHP and JavaScript, designed to facilitate the automatic classification of PKH recipients. This system helps streamline the registration to be more precise and effective, providing an efficient solution for local government officials to identify eligible families for the PKH program. The evaluation results show that this system can classify PKH recipients well with an accuracy of 93%, offering an automated approach that supports decision-making in the distribution of social assistance.