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All Journal MEDIA ELEKTRIKA Transmisi: Jurnal Ilmiah Teknik Elektro JURNAL SISTEM INFORMASI BISNIS Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Journal of Telematics and Informatics Jurnal Transformatika Proceeding of the Electrical Engineering Computer Science and Informatics TRANSISTOR Elektro dan Informatika AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat Indonesian Journal of Community Services Abdi: Jurnal Pengabdian dan Pemberdayaan Masyarakat Jurnal Pengabdian kepada Masyarakat Nusantara Community Empowerment JAST Prosiding University Research Colloquium Prosiding Seminar Riset Mahasiswa Jurnal Ilmiah Sultan Agung Jurnal Rekayasa Sistem Informasi dan Teknologi JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)

Sam Farisa Chaerul Haviana

Universitas Islam Sultan Agung

Author-ID : 716090

Religion Arts Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences

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Average Hashing for Perceptual Image Similarity in Mobile Phone Application Sam Farisa Chaerul Haviana; Dedy Kurniadi
Journal of Telematics and Informatics Vol 4, No 1: March 2016
Publisher : Universitas Islam Sultan Agung

Common problem occurs in almost all mobile devices was duplicated data or files. Such as duplicated images that often happen by event like capturing perceptually similar photos by the user, or images that shared several times in messaging applications chat groups. This common problem can be solved by manually search and remove the duplicated images one by one by the users, but better solutions is by building automated application that search perceptually similar images then provide the result to the users. We study and implementing Average Hashing and Hamming distance for perceptual image similarity into application under mobile phone platform to realize the solution for the problem. The result was very promising in speed and accuracy for finding perceptually similar images under limited resources device like mobile phone.

Data Mining Sales Optimizations Using Sequential Minimal Optimization Algorithm Dedy Kurniadi; Sam Farisa Chaerul Haviana
Journal of Telematics and Informatics Vol 4, No 2: September 2016
Publisher : Universitas Islam Sultan Agung

Tightness of business nowadays requires businessman to be able to develop their business to compete with the other companies, this study was conducted to obtain data accurate on the type of clothing combinations that are favored by the consumers to optimize sales at convection companies, using data mining methods and technique of classification this data is classify into four classes namely, well-liked, liked, enough and dislike. To solve classification problems, this study used Sequential Minimal Optimization (SMO), SMO Algorithm can solve quadratic programming problems without requiring a large matrix and to solving the optimization SMO selected from the smallest optimization in every steps. Optimum accuracy obtained in this study were obtained from Correctly Classified Instance of 80.9% from 3072 record set of well-liked classes that is the class with type of combinations clothes polo and embroidery, then the level of measurement of consistency coefficient values using kappa statistic obtained for 0.73% where the data in the class showed a consistent value, from these data type are most well-liked combinations can optimize sales by 70.3%

Large Language Model and Retrieval-Augmented Generation Model for Indonesian Publication Milasanti, Denina; Subroto, Imam Much Ibnu; Haviana, Sam Farisa Chaerul
Journal of Telematics and Informatics Vol 12, No 1 (2024)
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v12i1.

Garba Rujukan Digital (GARUDA) is a platform for publications and references in scientific articles, journals, and theses in Indonesia. However, to be able to find specific information in many articles and journals, of course, it is necessary to develop a system to make it easier to find this information. Therefore, a chatbot system with Large Language Model (LLM) and Retrieval Augmented Generation (RAG) was developed which is used to retrieve information through data-based chatbots on GARUDA. To find out the results of this study, a matrix evaluation was carried out using the ROUGE score with an average result of the value range from 42.68% to 68.03%. Thus, the evaluation showed that the output worked quite well in answering questions in scientific articles in the GARUDA Computer Science & IT indexed journal, especially on web-based subtopics.Keywords: chatbot, RAG, LLM, GARUDA Kemdikbud

Co-Authors A Asyhari Achya Puji Sari Adhi, Anjas Restu Mulia Akhsinatul Laeliyah Andi Riansyah Arief Budiman Ariyanto, Bagas Afza Joko Asyhari Asyhari Asyhari Asyhari, Asyhari Asyhari, A Azizah, Eka Nurul Badie'ah, Badie'ah Badieah Assegaf Badieâ€™ah, Badieâ€™ah Dedy Kurniadi Dedy Kurniadi Dedy Kurniadi Dedy Kurniadi Ellisa Mu'alifah Fadhilah, Achmad Naufal Fahmi Arif Dewoputro Fatimah, Akmalia Ghozi Fidaul Haq Hermawan, Hildan Mulyo Huda, Rizky Miftachul Ilham Pradipta, Muhammad Ilhamsyah, Muhamad Reynaldi Imam Much Ibnu Subroto Komsiyah Afri Maryuliana Maryuliana Milasanti, Denina Moch Taufik Muhammad Nur Gofinda Muhammad Taufik Munir, Abdulloh Nada, Anita Soffiyun Najma Nora Agustina Novianto, Andika Nur Fatahna Nurinayah, Alfiyatu Nurnasikha, Kusuma Nurwidiana Nurwidiana Nurwidiana, N Poetro, Bagus Satrio Waluyo Putra, Ardan Nur Chaiya Putra, Yustian Dikma Eka Riansyah, Andi Rifqy Ramdhani Hakim Riziq, Alvin Yusuf Salwa Ahla Amania Sigit Ardianto Sri Mulyono Sri Mulyono Sri Mulyono Sulaiman, Noor Suhana Suryani Alifah Taufik, Muhammad Ushuludin, Mohammad Wicaksono, Yusuf Arief Widhya Nugroho Satrioajie Wiwiek Fatmawati Yacob, Azliza Yasni, Loura Yusuf Arief Wicaksono Yusuf Arief Wicaksono

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