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All Journal Journal Of Human And Education (JAHE) Jurnal Pustaka AI : Pusat Akses Kajian Teknologi Artificial Intelligence
Muharmi, Yulya
Unknown Affiliation
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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Socialization of the Use of Chat GPT in Increasing Village Community Resources Ferine, Kiki Farida; Nadriati, Sri; Arif , Muhammad; Muharmi, Yulya; Kusuma, Chandra
Journal Of Human And Education (JAHE) Vol. 4 No. 3 (2024): Journal of Human And Education
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jh.v4i3.939

Abstract

Recently, the topic of AI has been on the rise. The AI ​​hashtag was trending on Twitter. AI is an acronym for Artificial Intelligence or in Indonesian it is called artificial intelligence. AI is actually a field of computer science that focuses on solving cognitive problems or related to human intelligence, such as problem solving and pattern recognition. This ability, which seems like human intelligence, is controlled by a system controlled by a robot or computer. ChatGPT (Generative Pre-training Transformer) is an artificial intelligence system supported by AI that enables text-based conversational interactions. ChatGPT has various functions, including language translation, providing recommendations, increasing productivity, and assisting in improving village community resources. Therefore, the aim of this community service is to see the potential for using ChatGPT to help improve Village Community Resources in Aek Pancur Village, Tanjung Morawa District, Deli Serdang Regency, North Sumatra. In obtaining the data used were observation and literature review. This service activity is an educational effort to use ChatGPT to help increase community resources in Aek Pancur Village, Tanjung Morawa District, Deli Serdang Regency, North Sumatra. This effort was motivated by the lack of knowledge about the use of AI (Artificial Intelligence), especially ChatGPT in the community, which could increase the resources of the Aek Pancur village community itself. As a form of the author's thoughts, the efforts and breakthroughs made are offered, which can provide real benefits for the people of Aek Pancur Village, Tanjung Morawa District, Deli Serdang Regency, North Sumatra in obtaining the latest information and actively participating in village development.
Clustering Toko Ritel Berdasarkan Pola Penjualan Produk Menggunakan Algoritma K-Means Amalia Praptiwi, Riska; Muharmi, Yulya; Amelia, Dhella
Jurnal Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence) Vol 6 No 1 (2026): Pustaka AI (Pusat Akses Kajian Teknologi Artificial Intelligence)
Publisher : Pustaka Galeri Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55382/jurnalpustakaai.v6i1.1748

Abstract

Penelitian ini menganalisis pola penjualan toko ritel di Pekanbaru dan melakukan segmentasi berbasis data menggunakan algoritma K-Means. Dataset terdiri dari 965 toko dengan variabel numerik hasil preprocessing, meliputi total penjualan, frekuensi transaksi, rata-rata nilai pembelian, dan variasi produk. Hasil clustering menunjukkan tiga segmen toko: performa tinggi, menengah, dan rendah, dengan evaluasi kualitas menggunakan Silhouette Score sebesar 0.603 dan Davies-Bouldin Index sebesar 0.763. Visualisasi PCA memperkuat pemisahan antar cluster secara intuitif. Kebaruan penelitian ini terletak pada penerapan K-Means pada data ritel lokal Pekanbaru dengan evaluasi cluster komprehensif, sehingga menghasilkan segmentasi yang lebih representatif terhadap perilaku konsumen daerah. Temuan ini dapat dimanfaatkan untuk strategi distribusi produk, target promosi, dan evaluasi kinerja toko berbasis data. Penelitian selanjutnya dapat menambahkan variabel lokasi geografis dan demografi pelanggan untuk meningkatkan presisi segmentasi.
Co-Authors Amalia Praptiwi, Riska Amelia, Dhella Arif , Muhammad Kiki Farida Ferine Kusuma, Chandra Nadriati, Sri