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All Journal Techno.Com: Jurnal Teknologi Informasi Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Jurnal Pseudocode Jurnal Edik Informatika : Penelitian Bidang Komputer Sains dan Pendidikan Informatika KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JIKO (Jurnal Informatika dan Komputer) JOURNAL OF APPLIED INFORMATICS AND COMPUTING Computer Based Information System Journal JURNAL TEKNOLOGI DAN OPEN SOURCE Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Progresif: Jurnal Ilmiah Komputer Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Jurnal Ekonomi Manajemen Sistem Informasi Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Sistem Informasi dan Informatika (SIMIKA) Prosiding National Conference for Community Service Project JISA (Jurnal Informatika dan Sains) JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) Jurnal Teknologi Informasi dan Komunikasi Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Telcomatics Journal of Information System and Technology (JOINT) Journal of Computer and Information System (J-CIS) Indonesian Research Journal on Education Conference on Management, Business, Innovation, Education and Social Sciences (CoMBInES) Conference on Business, Social Sciences and Technology (CoNeScINTech) Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer INOVTEK Polbeng - Seri Informatika
Syaeful Anas Aklani, Syaeful
Universitas Internasioanl Batam
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Pengembangan model pengenalan huruf SIBI pada kondisi low-light berbasis convolutional neural network Francisco, Francisco; Aklani, Syaeful Anas
Jurnal Pseudocode Vol 13 No 1 (2026): Volume 13 Nomor 1 Februari 2026
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/pseudocode.13.1.14-20

Abstract

Deaf and speech-impaired individuals in Indonesia face communication barriers due to limited public understanding of sign language. In real use, SIBI communication often occurs in dim lighting, yet recognition models are mainly evaluated under normal illumination, motivating robust low-light recognition. This study develops a CNN model based on MobileNetV2 to recognize SIBI (Indonesian Sign Language System) letter gestures under low-light conditions (50-100 lux). The dataset comprises 5,579 images of 26 SIBI letters, divided stratified 80:10:10. The methodology includes preprocessing with Bilateral Filter, CLAHE in LAB color space, and Adaptive Gamma Correction, plus transfer learning and fine-tuning with data augmentation. Evaluation results show 97.13% test accuracy, with most errors among similar letters. Real- time testing is stable within 50-100 lux, though accuracy decreases below 50 lux or with shadows. These findings indicate that the proposed preprocessing methods and MobileNetV2 CNN maintain reliable SIBI recognition in low-light environments.
Pengembangan Chatbot Generatif untuk Manajemen Aktivitas Mahasiswa di Perguruan Tinggi Aklani, Syaeful Anas; Jason, Delvin; Sama, Hendi
Techno.Com Vol. 25 No. 1 (2026): February 2026
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/tc.v25i1.15081

Abstract

Penelitian ini bertujuan mengembangkan dan mengevaluasi chatbot berbasis kecerdasan buatan generatif untuk manajemen aktivitas mahasiswa dengan arsitektur server-side context injection. Pendekatan yang digunakan menggabungkan dua tahapan: (1) eksperimen A/B yang membandingkan baseline prompt dan engineered prompt, serta (2) survei penerimaan pengguna berdasarkan model Unified Theory of Acceptance and Use of Technology (UTAUT) yang diperluas dengan konstruk AI Credibility Assurance (AICA). Hasil eksperimen terhadap 100 kueri menunjukkan bahwa engineered prompt secara signifikan meningkatkan relevansi, kelengkapan, dan kegunaan keluaran (p < 0.001), serta mengindikasikan tren peningkatan akurasi faktual dan kepatuhan struktur JSON. Survei terhadap 321 responden memperlihatkan bahwa seluruh konstruk UTAUT yang diperluas reliabel dan model pengukuran memiliki kecocokan yang sangat baik. Analisis model struktural SEM menunjukkan bahwa Facilitating Conditions dan Performance Expectancy merupakan kontributor utama terhadap Behavioral Intention, diikuti oleh Effort Expectancy, Social Influence, dan AICA, seluruh jalur pengaruh bersifat positif dan signifikan. Temuan ini mengindikasikan bahwa desain prompt yang tepat dan pengelolaan konteks yang baik berpotensi meningkatkan kualitas keluaran sekaligus mendukung terbentuknya kepercayaan dan niat adopsi pengguna di lingkungan pendidikan tinggi.   Kata Kunci - Chatbot Generatif, Prompt Engineering, Injeksi Konteks Sisi-Server, UTAUT, AI Credibility Assurance (AICA).
Analisis Dampak Implementasi Payment Gateway Terhadap Peningkatan Penjualan pada E-Business Di Batam Muhammad Dody Firmansyah; Syaeful Anas Aklani; Wilson Wilson
Progresif: Jurnal Ilmiah Komputer Vol 21, No 1 (2025): Februari
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v21i1.2624

Abstract

This research aims to analyze the impact of implementing a payment gateway on increasing sales in e-business in Batam using the Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT) models. This study uses quantitative and qualitative methods, with data collected through questionnaires involving 108 e-business respondents. The research results show that the factors Perceived Usefulness, Performance Expectancy, and Security have a significant influence on the intention to adopt payment gateways. Analysis of the validity and reliability of the model shows that all indicators and variables in this research meet good standards. These findings indicate that the higher the perceived usefulness and security, the greater the likelihood of e-business actors adopting this technology. Therefore, optimizing security features, ease of use, and system reliability are important factors in increasing the adoption of payment gateways in e-businessKeywords: Payment Gateway; E-Business; Technology Acceptance Model; Unified Theory of Acceptance and Use of Technology AbstrakPenelitian ini bertujuan untuk menganalisis dampak implementasi payment gateway terhadap peningkatan penjualan di e-business di Batam dengan menggunakan model Technology Acceptance Model (TAM) dan Unified Theory of Acceptance and Use of Technology (UTAUT). Studi ini menggunakan metode kuantitatif dan kualitatif, dengan data yang dikumpulkan melalui kuesioner yang melibatkan 108 responden pelaku e-business. Hasil penelitian menunjukkan bahwa faktor Perceived Usefulness, Performance Expectancy, dan Security memiliki pengaruh signifikan terhadap niat adopsi payment gateway. Analisis validitas dan reliabilitas model menunjukkan bahwa seluruh indikator dan variabel dalam penelitian ini memenuhi standar yang baik. Temuan ini mengindikasikan bahwa semakin tinggi persepsi manfaat dan keamanan, semakin besar kemungkinan pelaku e-business untuk mengadopsi teknologi ini. Oleh karena itu, optimalisasi fitur keamanan, kemudahan penggunaan, serta keandalan sistem menjadi faktor penting dalam meningkatkan adopsi payment gateway dalam e-business.Kata Kunci: Payment Gateway; E-Business; Technology Acceptance Model; Unified Theory of Acceptance and Use of Technology
Co-Authors Aldovanda Haflah Setiawan Alex Setiawan Aliefazlea, Qanaya Dherryl Anderson, Atnan Ari Anson Anson Basiron, Halizah Chadric, Felix Charles, Kevin Christina, Lidya Daniel Lim David David Dayton Dayton Delvin Jason Derwin Galen Dr. Hendi Sama, S.Kom., M.M.e-Business. Edwin Charley Eka Sucipto Elia, Elia Elvert Elvert Eric Lau Erlina Erlina Erwin Erwin Felix Favian Felix, Ivan Firmansyah, Muhamad Dody Francisco, Francisco Franky Chainoor Johari Haeruddin Haeruddin Haeruddin, . Haslim, Sartika Dewi Hendi Sama Hertianto Hertianto Hosse Fernando Irawan, Calvianthieno Ivan Felix Jacky Jacky Jacky, Jacky Jason Aaron Yang Jason, Delvin Jenary Randa Liling Jenry Winata Jesselyn Jesslyn, Jesslyn Jimmy Chandra Jonathan Jonathan Josua Yoprisyanto Julyan Adi Saputra Julyan Adi Saputra Julyanto Julyanto Junifer, Junifer Juzariah Juzariah Juzariah, Juzariah Kelvin Wijaya, Kelvin Kelvyn Kelvyn Kelvyn Kendrik Jonatan Kenny Wilson Lubis, Nywara Natriyasmara Melsen Melsen Muhamad Dody Firmansyah Muhammad Ardiansyah Muhammad Dody Firmansyah Mungkap Mangapul Siahaan Novita Putri Parlindungan Tampubolon Petrick Handy Putra Prasetyo, Stefanus Eko Purwandi, Nellsen Puspitasari, Divanaka Putra, Muhamad Zhabiyan Dwi Putri, Novita Randa Liling, Jenary Regina, Alya Renata, Doreen Rio Fernando, Rio Rosario, Rakit Ricardo Ryan Gunawan Ryo Winata Salsabila, Nanda Salsabilah, Anisah Sama, Hendi Setiawan, Aldovanda Haflah Shanata Limanto Sherlyn, Sherlyn Shermay Sihombing, Angelika Putri Stephanie Stephanie Steven Steven Susanti, Aida Suwarno Suwarno Suwarno Suwarno Suwarno Tjahyadi, Surya Tony Jack Tan Ding Welliam Ali Welliam Ali Wilson Wilson Wiyandi, Wiyandi Yang, Jason Aaron Yasa, Irma Sefina Yoprisyanto, Josua Yu Lun Zoin, Shania Zulkarnain, Nur Zareen