Article Per Year (5 Year)
p-Index From 2020 - 2025
2.198
P-Index
This Author published in this journals
All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Bibliotika : Jurnal Kajian Perpustakaan dan Informasi Building of Informatics, Technology and Science Indonesian Journal of Community Services Journal of Information Systems and Informatics International Journal of Advances in Data and Information Systems Journal of Community Service and Empowerment Journal of System and Computer Engineering Journal of Applied Data Sciences Literatify : Trends in Library Development Journal of Economics and Management Scienties
Fahmi, Faisal
Universitas Airlangga
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Library & Information Science Social Sciences Other

Published : 15 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 15 Documents
Search

 1   2 
THE IMPACT OF AI ON LIBRARY INFORMATION SERVICE QUALITY Putri Nur Amalia; Irdiana Rahma Kurniawati; Faisal Fahmi
BIBLIOTIKA : Jurnal Kajian Perpustakaan dan Informasi Vol 8, No 1 (2024)
Publisher : Departemen Sastra Indonesia, Fakultas Sastra, Universitas Negeri Malang (UM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um008v8i12024p77-87

Abstract

This research explores the transformative impact of Artificial Intelligence (AI) in library services. It investigates AI's potential to enhance efficiency, personalize service delivery, and improve library collection management. The study employs qualitative methods, including in-depth interviews and document analysis, with a focus on academic and public libraries that have integrated AI. The findings reveal positive acceptance of AI by library professionals, increased user satisfaction, and the potential for more dynamic library services. However, challenges such as staff training and data privacy issues exist. AI's role in collection management is also highlighted. This research contributes to understanding AI's implications for libraries and underscores the need for responsible AI implementation.
PERBANDINGAN ONLINE PUBLIC ACCESS CATALOGUE (OPAC) PADA PERPUSTAKAAN PERGURUAN TINGGI DI SURABAYA Zakkiya Farah Nadiya Santoso; Zainab Zainab; Bunga Anggraini Mahameru; Anisia Zulia Rahma Dewi; Hanindia Aisyah Rosanti; Anindi Alfi Syahrina; Adira Novanda Widyasari; Puti Hanalya Rengganis; Lisa Mauludia Sari; Fitri Mutia; Faisal Fahmi
BIBLIOTIKA : Jurnal Kajian Perpustakaan dan Informasi Vol 8, No 1 (2024)
Publisher : Departemen Sastra Indonesia, Fakultas Sastra, Universitas Negeri Malang (UM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um008v8i12024p117-151

Abstract

Latar Belakang: setiap perpustakaan perguruan tinggi memiliki katalog online (OPAC), namun terdapat perbedaan pada fitur dan performa. Tujuan: untuk menyajikan perbandingan fitur dan performa OPAC sebagai bahan evaluasi. Metode: wawancara, observasi, dan analisis komparatif pada 8 perpustakaan universitas yang ada di Surabaya berdasarkan standar IFLA (International Federation of Library Associations) dan uji performa menggunakan GTmetrix. Hasil: OPAC Perpustakaan UBAYA memiliki fitur yang paling lengkap dan OPAC Perpustakaan UPN Jawa Timur memiliki performa yang paling baik diantara yang lainnya. Rekomendasi: Diperlukan upaya peningkatan fitur dan performa pada OPAC.Kata Kunci: OPAC, Perpustakaan Perguruan Tinggi, Perbandingan Sistem Informasi Perpustakaan
Deep learning-based prediction of float model performance in floatplanes: A case study on lift-to-drag coefficient ratio Fahmi, Faisal; Fajar, Rizqon; Atmaja, Sigit Tri; Erwandi, Erwandi; Rahuna, Daif
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i2.pp1969-1979

Abstract

Developing an engineering design is resource-intensive and time-consuming, particularly for the floats of a floatplane design, due to its complexity and limited testing facilities. Intelligent-based computational design (IBCD) techniques, which integrate computational design techniques and machine learning (ML) algorithms, offer a solution to reduce required testing by providing predictions. This paper proposes a deep learning (DL)-based IBCD method for modeling floats' lift-to-drag coefficient ratio (CL/CD), where DL is one of the most powerful ML. The proposed method consists of two phases: hyper-parameter optimization and DL model training and evaluation. A genetic algorithm (GA) is employed in the first phase to explore complex hyper-parameter combinations efficiently. Evaluation of the predicted CL/CD of the floats using the DL model resulted in a satisfactory R-squared of 0.9329 and the lowest mean squared error (MSE) of 0,001536. These results demonstrate the ability of DL model to predict the float's performance accurately and can facilitate further design optimization. Thus, the proposed method can offer a time-efficient and cost-effective solution for predicting float performance, aiding in optimizing floatplane designs and enhancing their functionalities.
Marketing of Library and Information Services Through Website: a Case Study on the Official Website of Tengku Anis Library, UITM Kelantan Branch, Malaysia Faisal Fahmi; Nila Arofa’ina
Literatify: Trends in Library Developments Conference Papers of the Hybrid International Conference on Library and Information Science (HICoLIS
Publisher : UPT Perpustakaan UIN Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/literatify.vi.42722

Abstract

The purpose of writing this article is to find out how the implementation of library marketing and information services carried out by the Tengku Anis Library UiTM Kelantan. The method used is a literature study of scientific articles relevant to the topic and observation on the Tengku Anis Library website. The results show that library marketing activities and information services are carried out by Tengku Anis Library. One of the media is the official website as a form of their adaptation to technological developments. In conducting information marketing activities, the process starts from analyzing market opportunities, selecting target markets, developing a marketing mix, and developing marketing strategies and managing marketing programs. They have implemented these four steps so that the marketing process until the product reaches the library users can take place well. However, there is one thing that is still lacking in the process, which is the relatively lacking aspect of market segmentation. The author recommends conducting more specific market segmentation activities so that the intended market is more appropriate so that the product can be used evenly.
English English Hasyim, Fayyaz Mubarak; Faisal Fahmi
Literatify: Trends in Library Developments Vol 5 No 1 (2024): MARCH
Publisher : UPT Perpustakaan UIN Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/literatify.v5i1.44458

Abstract

In today's digitally inundated era, accessing information is more accessible yet challenging due to the sheer volume available. This article underscores the pivotal role of VSM in managing vast data and enhancing retrieval accuracy by ranking documents based on query similarity. Term normalization, a part of VSM development, standardizes words for indexing, improving accuracy by addressing word variations. The study's methodology involved a systematic literature review, data collection via electronic databases, and thematic analysis. The research findings highlight vital aspects: the fundamentals of information retrieval systems, the working principle of VSM in document sorting, and the process of term normalization. Various methods within term normalization, such as tokenizing, filtering, stemming, and term weighting (e.g., TF, IDF, Cosine Similarity), are elucidated for refining document relevance. Discussions underscore the impact of term normalization on information retrieval, emphasizing heightened accuracy, efficiency, and reduced error rates. In the research paper, five studies that showcased successful applications of VSM across diverse domains were referenced. These domains included karaoke song searches, thesis examiner selection, pest identification in rice plants, hadith interpretation, and library material searches. Each study demonstrated the effectiveness and versatility of VSM in solving various problems in different fields. In conclusion, VSM emerges as a potent tool in managing information overload, particularly when coupled with normalization techniques. The studies reviewed illustrate VSM's efficacy in delivering precise results, affirming its status as a preferred method in information retrieval systems due to its accuracy and effectiveness.
Empowering community at Kampung 1001 Malam through website development Tri Atmi, Ragil; Fahmi, Faisal; Halim, Yunus Abdul; Kurniawan, Yanuar Dwi; Pratiwi, Bertha Niken Ayu; Pratiwi, Ajeng Mustika; Syamsi, Nur Khalisha
Journal of Community Service and Empowerment Vol. 5 No. 2 (2024): August
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/jcse.v5i2.29374

Abstract

In the age of information technology, website development has become a crucial solution in empowering communities, and this article highlights the important role that library and information science students play in this endeavour. The focus is on Kampung 1001 Malam Surabaya, specifically on the community that has undergone relocation to Rusunawa Benowo, Pakal. The website developed by these students became a vital communication and information tool for the community. It provides important information about relocation, available resources, community support, and skills that can help them in facing new challenges after relocation. The importance of good interface design in the development of the website is key, as it ensures that users can easily interact with the website and obtain the information they need. In addition, training and mentoring programs are necessary to ensure effective use of the website. Through the socialisation program, the community is given an in-depth understanding of the importance of the website as a communication tool and source of information that can provide significant benefits in their daily lives. All in all, the development of this website helps to improve the welfare of the community, improve the image of their village, and help them overcome the technological challenges that exist in today's digital era.
A Multilingual Corpus for Panic and Worry in Code-Mixed Tweets by VADER Sentiment Analysis Abdul Rashid, Razailin; Ab Hamid, Siti Hafizah; Fahmi, Faisal
Journal of Applied Data Sciences Vol 5, No 3: SEPTEMBER 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i3.259

Abstract

The phenomenon of code-mixing in online discourse, on platforms such as X, offers an interesting setting to detect preliminary markers of anxiety within diverse linguistic expressions. The usage of more than one language within a single text or tweet necessitates the creation of a multilingual corpus to identify initial indicators of anxiety in code-mixed texts or tweets, contributing to a comprehensive understanding of mental health in the digital age. Existing research on code-mixed textual context primarily centres on code-mixed language of English with Spanish or Hindi, leaving a gap in our comprehension of other code-mixed languages, in particular; English with Malay or Indonesian language. Thus, our study focuses on anxiety-related linguistic expressions in Malay and Indonesian languages, such as ‘bimbang’, ‘bingung’, ‘panik’, ‘gelisah’, ‘cemas’, ‘takut’, ‘kacau’, ‘gemetar’, ‘gugup’, ‘teror’ and occasionally the usage of slangs such as ‘neves’, ‘gabra’, and ‘cape bgt’. In this paper, we introduce CORPUS4PANWO, an annotated sentiment-driven multilingual corpus for panic and worry detection in tweets. To experiment the corpus, we applied a corpus-based sentiment analysis utilizing VADER on diverse events, achieving accuracy of between 76.6% - 88.0% when used on tweets in negative circumstances. The corpus is a valuable resource for Southeast Asian linguistics, enabling exploration of emotional expression in diverse contexts.
Comparative Analysis of Cryptocurrency Prediction based on Deep Learning, Decision Tree, Gradient Boosted Tree, Random Tree, and k-NN Model Riyadi, Sugeng; Fahmi, Faisal
International Journal of Advances in Data and Information Systems Vol. 5 No. 2 (2024): October 2024 - International Journal of Advances in Data and Information System
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/ijadis.v5i2.1338

Abstract

Cryptocurrency being a digital or virtual currency that uses cryptography to secure transactions and control the creation of new units. Bitcoin, one of the most popular cryptocurrency, offers various advantages such as security, transparency, and efficiency. The value of Bitcoin can change over time, similar to the regular currencies, and the need to predict the value can be as important as those in the regular. The prediction can be done by multiple algorithms. The purpose of this research is to compare five algorithms in predicting bitcoin value based on Root Mean Squared Error (RMSE) and Squared Error (R2). The five algorithms compared can model the prediction of changes in the bitcoin cryptocurrency, effectively. Based on the experiment, Random Forest outperformed the other algorithms based on its RMSE and R2 result
Analisis Sentimen Menggunakan Algoritma Naïve Bayes, KNN, dan Decision Tree Terhadap Ulasan Aplikasi KitaLulus Harun, Rodyah Mulyani; Fahmi, Faisal
Building of Informatics, Technology and Science (BITS) Vol 6 No 3 (2024): December 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i3.6367

Abstract

The advent of digital technologies has transformed interaction dynamics between companies and potential employees by creating job search platforms. KitaLulus, one of the leading platforms in Indonesia, facilitates the job search process by providing various vacancies from various companies on one platform. However, there are several complaints from users, such as a complex job application process, inefficient file storage, and poor user interface (UI) and user experience (UX). On the other hand, Twitter is one of the places that contains user reviews, both in the form of satisfaction or disappointment, so that it can be used to identify public sentiment towards the KitaLulus application. Since it is important for the current generation, it is necessary to have a quality job search application, where recommendations for improving the quality of the application can be obtained from sentiment analysis. Therefore, sentiment analysis was conducted to identify public sentiment towards the KitaLulus application. The analysis in this study used 600 review data from Twitter which were then classified by sentiment based on Naïve Bayes, KNN, and Decision Tree algorithms. This research consists of six stages, namely data collection, data cleaning, data labelling, data preprocessing starting from SMOTE, split data, transform cases, tokenize, filter stopwords, and filter tokens (by length), sentiment classification, and finally results and evaluation. The results, after SMOTE was applied at the preprocessing stage, showed that KNN was the best algorithm with accuracy of 83.33%, precision of 80.36%%, and recall of 71.09%, followed by Naïve Bayes and Decision Tree respectively.
Pemasaran Digital pada Kalangan Ibu-ibu Rumah Tangga Pelaku UMKM di Kampung 1001 Malam Halim, Yunus Abdul; Atmi, Ragil Tri; Fahmi, Faisal; Yuwinanto, Helmy Prasetyo; Jannah, Qonita Miftahul; Nizar, Niken Nuzulia; Muhammad, Rizqi Nur
Indonesian Journal of Community Services Vol 6, No 2 (2024): November 2024
Publisher : LPPM Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30659/ijocs.6.2.148-155

Abstract

Adanya pandemi Covid-19 telah menyebabkan turunnya angka penjualan produk UMKM di Indonesia, salah satunya pada beberapa UMKM yang dimiliki oleh ibu-ibu rumah tangga di Kampung 1001 Malam. Pemasaran produk secara digital menjadi metode pemasaran yang dapat membantu UMKM beradaptasi dengan kondisi pandemi Covid-19. Maka dari itu, pengabdian masyarakat ini dilaksanakan dengan tujuan melatih ibu-ibu rumah tangga di Kampung 1001 Malam dalam membuat konten untuk memasarkan produk UMKM mereka secara digital. Pelaksanaan pengabdian masyarakat dilakukan melalui kegiatan, edukasi pentingnya pemasaran digital dan pelatihan pembuatan konten produk UMKM. Hasil dari kegiatan ini adalah peserta memiliki keinginan dan kemampuan untuk menciptakan konten untuk pemasaran digital produk, mulai dari perencanaan konsep konten, perekaman video atau pemotretan foto produk, hingga proses penyuntingan foto dan video menjadi konten yang siap digunakan untuk pemasaran digital produk UMKM mereka.The Covid-19 pandemic has caused a decline in the sales of MSME products in Indonesia, including several MSMEs owned by housewives in Kampung 1001 Malam. Digital product marketing is a marketing method that can help MSMEs adapt to the conditions of the Covid-19 pandemic. Therefore, this community service was carried out with the aim of training housewives who are MSME owners in Kampung 1001 Malam in creating content to market their MSME products digitally. The implementation of community service is carried out through activities, education on the importance of digital marketing and training in making MSME product content. The result of this activity is that participants have the desire and ability to create content for digital marketing of products, starting from planning content concepts, video recording or photo shooting of products, to the process of editing photos and videos into content that is ready to be used for digital marketing of their MSME products.
Co-Authors Ab Hamid, Siti Hafizah Abdul Rashid, Razailin Adira Novanda Widyasari Anggraini, Handari Niken Anindi Alfi Syahrina Anisia Zulia Rahma Dewi Atmaja, Sigit Tri Aysya, Alf Arira Ananta Bunga Anggraini Mahameru Erwandi Erwandi Fatmawati, Riyana Qori Fitri Mutia, Fitri Fuji Lestari, Nur Laili Indah Halim, Yunus Abdul Hanindia Aisyah Rosanti Harun, Rodyah Mulyani Hasyim, Fayyaz Mubarak Hema Subramaniam Irdiana Rahma Kurniawati Jannah, Qonita Miftahul Kurniawan, Yanuar Dwi Lisa Mauludia Sari Mahadewi, Mega Putri Maidalena Maidalena, Maidalena Muhammad, Rizqi Nur Muharani, Ari Ati Putri Naraya, Tri Vani Diah Nila Arofa’ina Nizar, Niken Nuzulia Pratiwi, Ajeng Mustika Pratiwi, Bertha Niken Ayu Puti Hanalya Rengganis Putri Nur Amalia Ragil Tri Atmi, Ragil Tri Rahuna, Daif Rizqon Fajar Sugeng Riyadi Syamsi, Nur Khalisha Tambunan, Khairina Wang, Feng-Jian Yuliani, Silvia Putri Yuwinanto, Helmy Prasetyo Zainab Zainab Zakkiya Farah Nadiya Santoso Zulfatun Sofiyani