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All Journal Nuansa Informatika Telematika JEJARING Cloud Information Sistemasi: Jurnal Sistem Informasi RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Empowerment : Jurnal Pengabdian Masyarakat JITK (Jurnal Ilmu Pengetahuan dan Komputer) JURNAL REKAYASA TEKNOLOGI INFORMASI Jurnal Teknologi Sistem Informasi dan Aplikasi Indonesian Journal Of Business And Economics Journal of Applied Data Sciences Insearch: Information System Research Journal International Journal Administration, Business & Organization Journal of Innovation and Sustainable Empowerment Buffer Informatika Himpunan: Jurnal Ilmiah Mahasiswa Pendidikan Matematika
Fahmi Yusuf
Universitas Kuningan
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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Pelatihan Pembuatan Electronic Book (E-Book) untuk Peningkatan Minat Belajar Siswa di Sekolah Dasar Heru Budianto; Fahmi Yusuf; Aji Permana; Elsa Syakira; Acep Triana
Journal of Innovation and Sustainable Empowerment Vol. 3 No. 2 (2024)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) Universitas Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/jise.v3i2.79

Abstract

Pengabdian masyarakat ini dilaksanakan dalam rangka meningkatkan keterampilan pembelajaran guru sekolah dasar melalui kegiatan pembuatan flipbook. Flipbook, merupakan salah satu bentuk e-book yang dapat dipergunakan sebagai media pembelajaran kreatif, diintegrasikan ke dalam metode pengajaran untuk memberikan pendekatan yang menarik dan efektif bagi guru-guru SD. Kegiatan ini dilaksanakan sebagai bentuk upaya keenganan siswa dalam membaca buku dikarenakan kondisi perpustakaan yang kurang baik dan buku-buku yang tidak tertata dengan baik dengan kondisi yang banyak mengalami kerusakan. Pengunaan e-book dirasakan lebih efektif dimana disesuaikan dengan karakter generasi pada zaman ini yang menggunakan smartphone dalam kesehariannya. Pendekatan yang dilaksanakan dalam pengabdian ini adalah workshop/seminar, praktek terbimbing dan evaluasi. Kegiatan yang dilaksanakan berjalan lancar dan diikuti dengan antusias oleh peserta. Hasil akhir dari pelaksanaan kegiatan pengabdian adalah peningkatan keterampilan guru dalam pembuatan media ajar berbasis teknologi yaitu flipbook. Kegiatannya ini diharapkan dapat terus berlanjut dengan topik dan pembahasan lainnya yang mendukung dalam pembuatan media ajar berbasis teknologi.
Sosialisasi Peningkatan Literasi Keuangan untuk Pencegahan Pinjaman Online Tri Septiar Syamfithriani; Fahmi Yusuf; Dadan Nugraha
Journal of Innovation and Sustainable Empowerment Vol. 4 No. 3 (2025)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) Universitas Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/jise.v4i3.153

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan literasi keuangan rumah tangga serta mencegah risiko penggunaan pinjaman online ilegal melalui pendekatan sosialisasi dan pelatihan. Permasalahan utama yang dihadapi mitra adalah rendahnya pemahaman warga terkait pengelolaan keuangan keluarga, pencatatan anggaran, serta ketidaktahuan mengenai bahaya pinjaman online ilegal. Kegiatan dilaksanakan dalam empat tahap, yaitu: (1) persiapan dan survei awal untuk memetakan tingkat literasi keuangan, (2) sosialisasi risiko pinjaman online ilegal dengan studi kasus lokal, (3) pelatihan penyusunan anggaran rumah tangga menggunakan template sederhana, dan (4) pendampingan serta evaluasi melalui post-test. Peserta terlibat dengan tingkat partisipasi aktif sebesar 85%. Hasil evaluasi menunjukkan peningkatan literasi keuangan yang signifikan, dengan rata-rata skor peserta meningkat dari 46% pada pre-test menjadi 79% pada post-test (kenaikan 33%). Peningkatan tertinggi terjadi pada aspek pemahaman risiko pinjaman online dan kemampuan menyusun anggaran. Temuan ini membuktikan bahwa pendekatan literasi keuangan berbasis praktik dan pendampingan sederhana efektif meningkatkan kemampuan pengelolaan keuangan keluarga serta dapat direplikasi pada komunitas lain.
Trust sebagai Mediasi Interaktivitas dan Personalisasi pada Sistem Rekomendasi Berbasis AI Aah Sumiah; Fahmi Yusuf; Panji Novantara
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 8 No. 4 (2025): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v8i4.58267

Abstract

AI-based recommender systems are widely implemented in e-commerce and digital platforms due to their ability to provide relevant and personalized recommendations. However, a key challenge in sustaining their adoption is establishing user trust, as limited trust can reduce continued usage intentions. This study investigates the effects of interactivity and personalization on intention to use, with trust as a mediating variable. A quantitative correlational approach was applied using Partial Least Squares Structural Equation Modeling (PLS-SEM). Data were collected from 170 Universitas Kuningan students who actively used recommender-based applications such as Shopee, Tokopedia, Netflix, and Spotify. The findings indicate that interactivity (β = 0.059; p = 0.493) and personalization (β = 0.210; p = 0.053) do not directly influence intention to use. Nevertheless, both interactivity (β = 0.233; p = 0.003) and personalization (β = 0.571; p < 0.001) significantly affect trust. Furthermore, trust has a strong positive impact on intention to use (β = 0.525; p < 0.001) and significantly mediates the relationships between interactivity and personalization with intention to use. The model explains 55.4% of the variance in trust and 53.7% in intention to use. These results emphasize trust as a critical mechanism linking user experience to continued use of AI-based recommender systems.
SISTEM INFORMASI PERAMALAN PENJUALAN MENGGUNAKAN METODE TRIPLE EXPONENTIAL SMOOTHING BERBASIS WEB (Studi Kasus: Toko Inter Sport, Brebes): SALES FORECASTING INFORMATION SYSTEM USING WEB-BASED TRIPLE EXPONENTIAL SMOOTHING METHOD (CASE STUDY: INTER SPORT) Naufal Hidayat; Fahmi Yusuf; Dadan Nugraha
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 10 No 2 (2025): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v10i2.6051

Abstract

Inter Sport Store, a retail business located in Kersana District, Brebes Regency, has been operating since 2017. The store faces ongoing challenges in inventory management, frequently encountering stock surpluses or shortages that result in losses of up to IDR 15 million per month. These issues primarily result from a manual ordering process that relies on subjective estimation, without the support of accurate data analysis. Furthermore, sales records are still maintained manually in notebooks, making it difficult to track data and analyze consumer demand effectively. This study proposes the development of a web-based sales forecasting system using the Triple Exponential Smoothing (TES) method, which can handle both trend and seasonal patterns simultaneously, providing higher accuracy for complex time-series data compared to Single or Double Exponential Smoothing methods. The system is developed using the prototype development method with UML design and implemented using Laravel framework and MySQL database for real-time access and data updates. Forecasting results for the Ortuseight Catalyst Legion FG – Aqua White soccer shoe yielded a Mean Absolute Percentage Error (MAPE) of 13.38%, which is considered within the "good" accuracy range. The implementation of this system successfully reduced overstock by 25% and improved inventory management efficiency. This forecasting system enhances operational efficiency and supports data-driven decision-making for store management.  
IMPLEMENTASI CHATBOT BERBASIS NATURAL LANGUAGE PROCESSING (NLP) MENGGUNAKAN MODEL BERT UNTUK MENINGKATKAN PELAYANAN KLINIK GIGI: IMPLEMENTATION OF NATURAL LANGUAGE PROCESSING (NLP) BASED CHATBOT USING BERT MODEL TO IMPROVE DENTAL CLINIC SERVICES Irsyad Ibadurrahman; Fahmi Yusuf; Heru Budianto
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 10 No 2 (2025): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v10i2.6061

Abstract

The limited human resources in dental clinics often lead to delays in responding to patients' initial consultations, potentially reducing service quality and patient satisfaction. The advancement of Artificial Intelligence (AI) has encouraged the adoption of chatbots based on Natural Language Processing (NLP) to improve information service efficiency. This study aims to implement a chatbot using the Bidirectional Encoder Representations from Transformers (BERT) model to enhance consultation efficiency at the dental clinic of drg. Fahmi Nurdin. The system development method used is Agile, with stages including requirement analysis, user interface design, model training, and chatbot implementation. The dataset consists of 49 tags (topics) and 490 patterns (questions), formatted in JSON, and used to train the BERT model for intent classification and response generation. Evaluation results show that the chatbot can provide relevant and accurate responses, accelerating the initial consultation process. This implementation is expected to help overcome human resource limitations, improve service quality, and strengthen patient trust in the clinic's services.
Gamified Digital Intervention to Reduce Online Game Gambling Tendency among Youth: A TAM–SDT Evaluation Yulyanto Yulyanto; Erik Kurniadi; Dede Husen; Fahmi Yusuf
Journal of Applied Data Sciences Vol 7, No 1: January 2026
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v7i1.1095

Abstract

The rapid growth of online gaming has raised concerns about addictive behaviors among young people, particularly with the emergence of loot boxes that resemble gambling mechanisms. This study aims to examine the effectiveness of a gamification-based application as a preventive intervention for online gambling game addiction and to evaluate user acceptance through an extended Technology Acceptance Model (TAM). The research was conducted in two stages. In the pre-test phase, 588 respondents aged 15–25 completed a questionnaire measuring impulsivity, Internet Gaming Disorder (IGD), and loot box exposure. The results identified 169 individuals (28.7%) with addictive tendencies. In the intervention phase, 86 respondents from this group participated in a gamified stimulation program using a specially designed application. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The measurement model met reliability and validity requirements. Structural model analysis confirmed the classic TAM relationships: perceived ease of use significantly influenced perceived usefulness (β = .559, p 0.001), perceived usefulness influenced attitude toward use (β = .385, P= 0.001), and attitude influenced behavioral intention (β = .461, p 0.001). In addition, self-determination theory (SDT) significantly affected both attitude (β = .360, P= 0.003) and behavioral intention (β = .166, P= 0.038). However, affective visual design (AVD) was not significant, and behavioral intention did not reduce addictive behavior (β = -0.109, P= 0.386). The model demonstrated predictive relevance for TAM constructs (Q² 0) but failed to predict addictive behavior (Q² = -0.003). This study contributes theoretically by extending TAM with SDT in the context of digital health interventions and practically by demonstrating the potential of gamification as a preventive tool. However, the short intervention period and limited sample size constrained its effectiveness in reducing addiction. Longer-term interventions and broader contextual factors are recommended for future research.
A Mixed-Methods Design for Analyzing Telemedicine Adoption: An Information Systems Approach Integrating TAM–ISS, Digital Literacy, and Usability Fahmi Yusuf; Yulyanto Yulyanto; Rio Priantama
Journal of Applied Data Sciences Vol 7, No 1: January 2026
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v7i1.1084

Abstract

This research employs a mixed-methods design to analyze telemedicine adoption in rural Indonesia by integrating the Technology Acceptance Model (TAM) and the Information System Success Model (ISS), extended with digital literacy and usability. A quantitative survey of 314 respondents was complemented by in-depth interviews with 50 participants and demographic analysis using chi-square and logistic regression. The quantitative findings reveal that the primary adoption construct is Usability → Perceived Ease of Use (PEOU) → Perceived Usefulness (PU) → Intention to Use (ITU) → Net Benefit (NB). Perceived usefulness emerged as the strongest predictor of both satisfaction and intention. Information Quality significantly influenced satisfaction, whereas System Quality did not, indicating that clear medical information outweighs technical system performance in shaping satisfaction. Similarly, usability directly did not affect PU but indirectly through PEOU, and digital literacy influenced PU but not PEOU. Demographic analysis confirmed that occupation was significant—students and healthcare workers acted as early adopters—while age and prior training were not, suggesting that adoption transcends generational boundaries due to the widespread penetration of the JKN Mobile platform. Qualitative insights enriched these findings by highlighting key barriers and enablers such as inconsistent interfaces, infrastructure limitations, privacy concerns, community-based socialization, and expectations for adaptive features like AI diagnostics and pharmacy integration. Overall, the research confirms that telemedicine adoption in rural Indonesia is shaped by the synergy of usability, digital literacy, information quality, and social context rather than by training or demographic variables alone.
EXTENDING THE HOT-FIT MODEL WITH INFORMATION LITERACY TO EXPLAIN AI ADOPTION IN HIGH SCHOOLS Fahmi Yusuf; Yuniarti; Heru Budianto; Rio Priantama
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 4 (2026): JITK Issue May 2026
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i4.7270

Abstract

Artificial Intelligence (AI) is increasingly transforming educational practices by enabling more adaptive and personalized learning experiences in secondary schools. Nevertheless, previous applications of the Human–Organization–Technology Fit (HOT-Fit) model have given limited attention to the roles of information literacy and trust in influencing AI adoption. To address this gap, the present study expands the HOT-Fit framework by incorporating three additional constructs: information literacy, perceived validity, and perceived trust, in order to better explain AI readiness and adoption in educational settings. A quantitative approach was employed involving 316 senior high school students from Kuningan Regency, Indonesia. Data were gathered using a structured questionnaire based on a five-point Likert scale and analyzed through Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS v3.0 to evaluate 29 proposed hypotheses. The findings revealed that 21 hypotheses were statistically supported. Information literacy demonstrated a strong positive effect on perceived trust (β = 0.708; p < 0.001), as well as on system use, organizational structure, environmental support, and user satisfaction. In addition, system quality significantly contributed to user satisfaction, whereas service quality affected both system use and satisfaction. Among all relationships, net benefit exerted the strongest effect on action to use (β = 0.547; p < 0.001). The R² results for several endogenous constructs were above 0.50, indicating acceptable explanatory capability of the proposed model. Practically, the findings offer implications for educators, policymakers, and system developers in designing AI-supported learning environments by emphasizing the enhancement of digital literacy, service support, and system effectiveness for sustainable AI integration in schools.
Implementasi Convolutional Neural Network (CNN) untuk Sistem Presensi Mahasiswa Berbasis Pengenalan Wajah Fahmi Yusuf; Iwan Lesmana; Hegar Paningkat Bagja
Buffer Informatika Vol. 11 No. 1 (2025): Buffer Informatika
Publisher : Department of Informatics Engineering, Faculty of Computer Science, University of Kuningan, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/buffer.v11i1.367

Abstract

Sistem presensi sangat banyak digunakan di sekolah-sekolah, universitas-universitas maupun perusahaan-perusahaan. Kehadiran atau presensi sangat penting dalam proses pembelajaran dan proses akademik di Fakultas Ilmu Komputer Universitas Kuningan. Sistem Presensi yang digunakan Fakultas Ilmu Komputer Universitas Kuningan masih menggunakan metode konvensional yaitu melalui lembar atau sheet dalam bentuk hard copy yang kemudian di tanda tangani dan dikumpulkan kembali setelah ditanda tangani. Permasalahan dan kekurangan dari sistem absensi melalui metode konvensioanal seperti membutuhkan waktu yang cukup lama dalam merekap data presensi mahasiswa ke sistem akademik, adanya manipulasi tanda-tangan yang dilakukan mahasiswa dan lainnya. Hal itu membuat teknologi face recognition dapat diterapkan untuk masalah tersebut. Convolutional Neural Network (CNN) merupakan pengembangan dari metode Multi-layer Perceptron (MLP) yang didesain untuk proses pengolahan data dua dimensi. Dengan model pengembangan yaitu prototype, yang dapat digunakan untuk memperjelas spesifikasi kebutuhan user berkomunikasi dan memberikan informasi yang terdiri dari mendengarkan pelanggan atau analisa kebutuhan, membuat rancangan (mockup) dan pengujian rancangan. Hasil dari identifikasi dari citra wajah menghasilkan output berupa deskripsi fitur yang merepresentasikan karakteristik dari wajah yang teridentifikasi, kemudian deskripsi fitur wajah tersebut dibandingkan dengan deskripsi fitur wajah dari database untuk pencocokan. Dimana hasil akurasi dan validasi model dengan pengujian K-Fold sebesar 92%.
Co-Authors Aah Sumiah Aah Sumiah Aang Subiyakto Acep Triana Afifah, Silmi Nur Agus Wahyudin Aji Permana Akmal Sumirat amnah amnah Anto Lospiyanto Dadan Nugraha Dede Husen Dede Irawan dede Irawan dian lesmana Didin Lukmanudin Elis Khaerunisa Elsa Syakira Erik Kurniadi Erlan Darmawan Fitra Nugraha Hamidah, Lisda Hegar Paningkat Bagja Herawati, Resma Mega Herma Wiharno Heru Budianto Irsyad Ibadurrahman Iwan Lesmana Iwan Lesmana Jerry Dounald Rahajaan Mauldya, Sabrina Naufal Hidayat Nita Mirantika Nita Mirantika Nita, Gita Sri Nurfatimah, Siti Nuke Nurhasanah, Aiena Panji Novantara Rahman, Titik Khawa Abdul Rahmat Tullah Reza Nabili Akbar Rio Priantama Septian Prasetyo, Septian Setiaji, Ardi Sidik, Muhamad Akhirul Sri Rahayu Syaipul Ramdhan Syamfithriani, Tri Septiar Trisudarmo, Ragel Yeye Fajriani Yulyanto Yulyanto Yuniarti