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Penerapan Metode Simple Addictive Weighting (SAW), Metode Weighted Product (WP), Dan Technique for Order Preference By Similarity To Ideal Solution (TOPSIS), Dalam Pemberian Bonus Tahunan Karyawan Rio Ardy Milala; Ahmad Fajri; Moh.Ridzki Alif Maulana; Nazila Iva Sugianisa; Perani Rosyani
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 09 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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

Abstract

Granting annual bonuses to employees Improving staff morale and performance is one method of improving both within the Financial and Asset Management Agency. However, there are a number of factors that are taken into account when annual incentives are awarded. In order for us to select the best staff, we need a decision aid system. In this research, three techniques are chosen. namely SAW (Simple Additive Weighting), Weighted Product (WP) Method, And Technique For Order Preference By Similarity To Ideal Solution (TOPSIS) This is achieved by assigning importance to each standard evaluated for each employee. Workload, attendance rate, discipline, and other factors are also considered when evaluating research parameters and salary requests. The final result is the selection of the best employee who obtains the largest score deserves the largest bonus.
Peran DKUPP Kabupaten Probolinggo pada Perizinan Industri Kecil Menengah Produk Roti dan Kue di Kabupaten Probolinggo Popy Amilia; Imam Syafi'i; Ahmad Fajri
Economic Reviews Journal Vol. 3 No. 1 (2024): Economic Reviews Journal
Publisher : Masyarakat Ekonomi Syariah Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56709/mrj.v3i1.155

Abstract

DKUPP (Department of Cooperatives, Micro Enterprises, Trade and Industry of Probolinggo Regency), especially in the industrial sector, has a role in licensing IKM (Small and Medium Industries) for bread and cake products. The industrial sector is one of the fields that carries out production guidance and development, industrial business development, as well as licensing control and supervision. The industrial sector has a role in registering permits or legality and also helping entrepreneurs who experience difficulties in making product packaging. The aim of the research is to determine the role of DKUPP in licensing SMEs for bread and cake products, the role of packaging houses in SMEs, obstacles to registering permits, the development of SMEs after obtaining a permit or the legality of the business. Qualitative research method with a descriptive approach, using sampling techniques based on the characteristics of the research object. Data collection techniques include interviews and documentation. The research results show that the role of DKUPP in IKM licensing helps entrepreneurs register business legality letters to facilitate product marketing and product safety. The role of packaging houses for SMEs or entrepreneurs is to assist in making packaging and assist with consultations regarding product packaging. Obstacles to licensing include a lack of understanding of licensing, the development of SMEs after having a permit or business legality, namely the large number of entrepreneurs, especially bread and cake products, who are able to market their products outside the city and reach large shops.
History Of Spice Trade And Chinese Brokers In Aceh Ahmad Fajri; Radiatul Adawiyah
SEUNEUBOK LADA: Jurnal ilmu-ilmu Sejarah, Sosial, Budaya dan Pendidikan Vol 13 No 1 (2026): JURNAL SEUNEUBOK LADA (In Progress)
Publisher : Program Studi Pendidikan Sejarah - Universitas Samudra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33059/jsnbl.v13i1.13441

Abstract

In the 16th to 18th centuries, the Acehnese spice trade played an important role in the provincial economy. It connects it with international trade routes through the Straits of Malacca. As intermediaries in the spice trade, Chinese brokers play an important role in connecting Aceh with global markets, including China, India, and Europe. This study explores the role of Chinese brokers in the dynamics of the spice trade and how this interaction affects Aceh's position in international trade In this study uses the Historical method, involving the analysis of historical events through a systematic series of actions. It begins by gathering secondary historical sources, including Books and Articles in Journals. After that, source criticism is done to ensure that the information obtained is genuine and credible. The study found that Chinese brokers helped accelerate spice trade routes and strengthen Aceh's economic ties with other countries, strengthening Aceh's position in the global trade network.
OPTIMIZING RETRIEVAL-AUGMENTED GENERATION FOR DOMAIN-SPECIFIC KNOWLEDGE SYSTEMS THROUGH FINE-TUNING AND PROMPT ENGINEERING Ahmad Fajri; Rila Mandala
JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 12 No. 1 (2025): Desember 2025
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v12i1.4338

Abstract

Abstract: This study discusses the optimization of RAG for a FAQ system in the field of information technology product security certification at BSSN. Although LLM generate reliable responses, they often lack up-to-date and domain-specific knowledge, which can be addressed through the RAG approach. This research aims to optimize a domain-specific RAG system by improving embedding performance, enhancing prompt robustness, and increasing retrieval accuracy. The research methods consist of three stages. The first stage involves fine-tuning the bge-m3 embedding model and evaluating its performance using MRR, Recall, and AUC. The second stage applies prompt engineering techniques, namely the SRSM and Autodefense, to mitigate direct-injection and escape-character prompt injection attacks. The third stage evaluates the proposed RAG system using Precision, Recall, and F1-Score metrics against four baseline models. The results of research show that the fine-tuned embedding model achieves higher performance than the original model, with MRR@1 and Recall@1 values of 0.80 and an AUC@100 of 0.7023. In addition, the proposed prompt engineering techniques demonstrate robustness against prompt injection attacks, while the overall RAG system attains a perfect Precision, Recall, and F1-Score of 1.00. In conclusion, the proposed approach effectively enhances retrieval accuracy, embedding quality, and system security, resulting in a more reliable RAG-based FAQ system for information technology product security certification. Keywords: embedding fine-tuning; large language model; prompt engineering; prompt injection mitigation; retrieval-augmented generation Abstrak: Studi ini membahas optimasi RAG untuk sistem FAQ di bidang sertifikasi keamanan produk teknologi informasi di BSSN. Meskipun LLM menghasilkan respons yang andal, mereka seringkali kurang memiliki pengetahuan terkini dan spesifik domain, yang dapat diatasi melalui pendekatan RAG. Penelitian ini bertujuan untuk mengoptimalkan sistem RAG spesifik domain dengan meningkatkan kinerja embedding, meningkatkan ketahanan prompt dan meningkatkan akurasi pengambilan. Metode penelitian terdiri dari tiga tahap. Tahap pertama melibatkan fine-tuning model embedding bge-m3 dan mengevaluasi kinerjanya menggunakan Mean Reciprocal Rank (MRR), Recall, dan AUC. Tahap kedua menerapkan teknik rekayasa prompt, yaitu Self- SRSM dan Autodefense, untuk mengurangi serangan direct-injection dan escape-character prompt injection. Tahap ketiga mengevaluasi sistem RAG yang diusulkan menggunakan metrik Presisi, Recall, dan F1-Score terhadap empat model dasar. Hasil penelitian menunjukkan bahwa model embedding yang disempurnakan mencapai kinerja yang lebih tinggi daripada model asli, dengan nilai MRR@1 dan Recall@1 sebesar 0,80 dan AUC@100 sebesar 0,7023. Selain itu, teknik rekayasa prompt yang diusulkan menunjukkan ketahanan terhadap serangan injeksi prompt, sementara sistem RAG secara keseluruhan mencapai Presisi, Recall, dan F1-Score sempurna sebesar 1,00. Kesimpulannya, pendekatan yang diusulkan secara efektif meningkatkan akurasi pengambilan, kualitas embedding dan keamanan sistem, menghasilkan sistem FAQ berbasis RAG yang lebih andal untuk sertifikasi keamanan produk teknologi informasi. Kata kunci: penyempurnaan embedding; model bahasa besar; rekayasa prompt; mitigasi injeksi prompt; retrieval-augmented generation