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Strategi Digital Marketing Dengan Metode SEO (Search Engine Optimization) untuk UMKM di Desa Klambir 5 Kebun Zulham, Zulham Sitorus; Andysah, Andysah Putera Utama Siahaan; Ibrahim, Ibrahim; Bambang, Bambang Sugito; Ayu, Ayu Ofta Sari; Anzas, Anzas Ibezato Zalukhu
Jurnal Pengabdian Masyarakat Gemilang (JPMG) Vol. 4 No. 1 (2024): Januari 2024
Publisher : HIMPUNAN DOSEN GEMILANG INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58369/jpmg.v4i1.157

Abstract

The digital era has changed the way people carry out daily activities, including shopping. This provides an opportunity for Micro, Small and Medium Enterprises (UMKM ) to expand their market by utilizing digital marketing platforms. One digital marketing method that can be used by UMKMĀ  is Search Engine Optimization (SEO). SEO is a technique for optimizing a website so that it is easier for internet users to find via search engines. This research aims to analyze digital marketing strategies using the SEO method for UMKM in Klambir Lima Kebun Village, Hamparan Perak District, Deli Serdang Regency, North Sumatra. This research uses a qualitative descriptive method with data collection techniques in the form of literature study and in-depth interviews. The research results show that UMKM in Klambir Lima Kebun Village still do not understand the importance of SEO in their digital marketing strategy. Most UMKM only rely on social media to promote their products or services. However, social media cannot provide optimal results if it is not optimized with SEO. Based on the research results, it is recommended that UMKM in Klambir Lima Kebun Village implement a digital marketing strategy using the SEO method. This can be done by optimizing the website, content and social media. Keywords: Digital Marketing, SEO, UMKM, Klambir Lima Kebun Village
Analisa data Untuk Menentukan Kelulusan Proposal Penelitian Dosen internal STMIK Triguna Dharma Menggunakan Metode Analytical Hierarchy Proses (AHP) Ayu, Ayu Ofta Sari; Wahyuni, Sri
Bulletin of Information Technology (BIT) Vol 5 No 4: Desember 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v5i4.1726

Abstract

he selection process for lecturer research proposals at STMIK Triguna Dharma is often faced with challenges in objective and transparent assessment. This is due to the high number of proposals submitted and the variety of criteria that need to be considered, such as scientific contribution, innovation, relevance and implementation potential. This research aims to develop a more objective selection model by applying the Analytical Hierarchy Process (AHP) method in determining the feasibility of lecturer research proposals. The AHP method is used because of its ability to break down complex problems into a hierarchical structure and calculate the priority weights of each assessment criterion. This research process begins with identifying the main criteria and sub-criteria, followed by collecting data from research proposals, expert interviews, and literature studies. Each criterion is evaluated through a pairwise comparison matrix to obtain objective priority weights. Next, all research proposals are assessed based on the weight of the criteria and ranked to determine the most feasible proposal. The research results show that the criteria for scientific contribution and relevance to institutional goals have the highest weight in the assessment, making them the main aspects in the proposal selection process at STMIK Triguna Dharma. With the AHP method, this research concludes that the proposal selection process can be carried out more systematically, transparently and fairly. The implementation of this model is expected to be able to help institutions fund research that is most relevant and has a significant impact in accordance with the campus' vision and mission. Keywords: Lecturer research; Analytical Hierarchy Process; Data analysis; Matrix; Ranking
Analisis Data Mining Terhadap Data Faktor Perceraian Di Sumatera Utara Dengan Metode K-Means Clusstering Ayu, Ayu Ofta Sari; Iqbal, Muhammad
Jurnal Sistem Informasi Triguna Dharma (JURSI TGD) Vol. 4 No. 1 (2025): EDISI JANUARI 2025
Publisher : STMIK Triguna Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jursi.v4i1.10671

Abstract

Tingginya angka perceraian di Provinsi Sumatera Utara terus meningkat setiap tahunnya. Penelitian ini bertujuan untuk mengelompokkan data perceraian berdasarkan kabupaten dan faktor penyebabnya dengan menerapkan metode K-Means Clustering menggunakan RapidMiner. Data yang dianalisis mencakup 34 kabupaten/kota di Sumatera Utara, dengan indikator utama seperti faktor ekonomi, kekerasan dalam rumah tangga, dan faktor lain yang berkontribusi terhadap perceraian. Hasil analisis menunjukkan bahwa data dapat dikelompokkan menjadi tiga klaster dengan karakteristik yang berbeda. Klaster 0, yang mencakup 26 wilayah, menunjukkan tingkat perceraian tinggi yang dipengaruhi oleh faktor ekonomi dan sosial yang kompleks. Klaster 1, dengan 3 wilayah, mencerminkan kondisi unik yang memerlukan kajian lebih mendalam untuk mengidentifikasi penyebab utama. Sementara itu, Klaster 2, dengan 4 wilayah, mencerminkan tingkat perceraian yang relatif lebih rendah dengan pengaruh faktor penyebab yang lebih sederhana. Hasil penelitian ini memberikan wawasan strategis bagi instansi terkait untuk merumuskan kebijakan yang lebih efektif dalam menekan angka perceraian, seperti program edukasi pasangan, peningkatan ekonomi, dan intervensi sosial yang tepat sasaran. Dengan memanfaatkan pendekatan berbasis data ini, diharapkan pemerintah dan lembaga terkait dapat mengambil langkah-langkah preventif yang lebih baik untuk meningkatkan kesejahteraan masyarakat.