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PENDAMPINGAN EKS PEKERJA MIGRAN INDONESIA DALAM PEMBUATAN AKUN MARKET PLACE ( SHOPEE) Sururi, Sururi; Fanani, Ikhsan; Bahagia Rizka, Royke; Hermawan, Wawan; Rizal, Rahyang; Juhriah Lukitawati, Lia
Jurnal Pengabdian Kepada Masyarakat Vol 3 No 1 (2024): JURNAL PENGABDIAN KEPADA MASYARAKAT (PENGMAS)
Publisher : Pusat Penelitian dan Pengabdian pada Masyarakat (P3M)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59820/pengmas.v3i1.292

Abstract

Indonesian Migrant Workers (PMI) who have returned to their homeland have great potential to develop businesses through digital platforms. The mentoring program for creating Shopee marketplace accounts is one solution to help ex-IMW market their products online. This study aims to analyze the mentoring process for ex-IMW in creating Shopee accounts and identify effective challenges and strategies in the process. The method used is a qualitative approach with data collection techniques through participatory observation, in-depth interviews, and documentation of 15 ex-IMW who participated in the mentoring program. The results showed that through intensive mentoring, participants successfully created Shopee accounts and understood the basic features of the platform. The main challenges faced include digital literacy constraints, limited understanding of product photography, and inventory management. Effective strategies include a gradual learning approach, one-on-one mentoring, and direct practice in managing online stores. This study recommends the need for sustainable mentoring programs and collaboration with various stakeholders to support the success of ex-IMW in developing businesses through digital platforms
IMPLEMENTASI RETRIEVAL AUGMENTED GENERATION UNTUK EVALUASI PROPOSAL TUGAS AKHIR MAHASISWA Fanani, Ikhsan
Jurnal Teknologi Komputer dan Informatika Vol 3 No 2 (2025): Jurnal Teknologi Komputer dan Informatika (TEKOMIN)
Publisher : LPPM Politeknik Pajajaran ICB Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59820/tekomin.v3i2.336

Abstract

This research aims to develop a thesis title evaluation system based on Retrieval Augmented Generation (RAG), utilizing the thesis repository from the past year as a knowledge source. The system is developed by integrating a retrieval component that employs semantic embedding techniques to identify similar titles from the repository and a generative component that provides evaluation and improvement recommendations. The process includes preprocessing data from the thesis repository, implementing a sentence-transformers model to create a vector database, and integrating it with a Large Language Model (LLM). The test results on 20 new titles showed that the RAG system achieved an answer correctness score of 80%. The implementation also succeeded in automating and improving the objectivity of the evaluation process.
PELATIHAN KEWIRAUSAHAAN BERBASIS BUSINESS MODEL CANVAS (BMC) UNTUK CALON PEKERJA MIGRAN INDONESIA DI PT ALZUBARA BEKASI Gunardi, Gunardi; Yusuf, Ramayani; Fanani, Ikhsan; Fadilah Fulki, Insan
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 8, No 7 (2025): MARTABE : JURNAL PENGABDIAN KEPADA MASYARAKAT
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v8i7.2787-2796

Abstract

Calon Pekerja Migran Indonesia (CPMI) seringkali menghadapi tantangan ekonomi setelah kembali ke tanah air akibat keterbatasan keterampilan kewirausahaan. Program pengabdian masyarakat ini bertujuan untuk membekali CPMI dengan pengetahuan dan keterampilan kewirausahaan berbasis Business Model Canvas (BMC) di PT Alzubara Bekasi. Metode pelaksanaan berupa pelatihan interaktif, studi kasus, dan pendampingan penyusunan BMC. Hasil menunjukkan peningkatan pemahaman peserta terhadap konsep wirausaha dan kemampuannya dalam menyusun model bisnis sederhana. Diharapkan pelatihan ini menjadi bekal strategis dalam menciptakan kemandirian ekonomi pasca migrasi.
MENELUSURI BATASAN KECERDASAN BUATAN: TANTANGAN DAN PELUANG TEORITIS Hasna Kamila, Nayla; Amelia, Shely; Awalina, Syifa; Khairunnisa, Zahra; Fanani, Ikhsan
Jurnal Teknologi Komputer dan Informatika Vol 3 No 1 (2024): Jurnal Teknologi Komputer dan Informatika (TEKOMIN)
Publisher : LPPM Politeknik Pajajaran ICB Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59820/tekomin.v3i1.317

Abstract

Advancements in the field of Artificial Intelligence (AI) have led to the development of systems capable of ef iciently solving various complex tasks. However, behind these achievements lie significant theoretical challenges that limit AI's capabilities. This article discusses the primary limitations of AI, including computational complexity, dif iculties in generalization, knowledge representation constraints, and challenges related to bias and ethical implications. Furthermore, it explores opportunities arising from these limitations, such as the development of hybrid models, energy-ef icient approaches, and improved algorithm interpretability. By examining these challenges and opportunities, this study aims to provide deeper insights into the future direction of AI development. An interdisciplinary approach is proposed as the key to addressing theoretical challenges and responsibly expanding AI's potential.