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All Journal JIK Jurnal Ilmu Komputer Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Mimbar Sekolah Dasar JOIV : International Journal on Informatics Visualization Sinkron : Jurnal dan Penelitian Teknik Informatika Indonesian Journal of Artificial Intelligence and Data Mining IKRA-ITH Informatika : Jurnal Komputer dan Informatika Jurnal Informatika Universitas Pamulang Jurnal Pengabdian Masyarakat AbdiMas Prosiding Seminar Nasional Pakar Simtek : Jurnal Sistem Informasi dan Teknik Komputer Majalah Ilmiah Bijak JATI (Jurnal Mahasiswa Teknik Informatika) Infotek : Jurnal Informatika dan Teknologi Jurnal Inovasi Penelitian Jurnal Pengabdian kepada Masyarakat International Journal of Social Science Jurnal Abdimas Kartika Wijayakusuma Jurnal Minfo Polgan (JMP) Journal Of Human And Education (JAHE) Jurnal Ilmiah Teknik Informatika (TEKINFO) Jurnal Indonesia Sosial Sains Journal of Artificial Intelligence and Digital Business Jurnal Penelitian dan Pengabdian Masyarakat Kohesi: Jurnal Sains dan Teknologi Journal Artificial: Informatika dan Sistem Informasi Digitus : Journal of Computer Science Applications Jurnal Informasi dan Teknologi (JITU) Cyber Security and Network Management
Herwanto, Agus
Universitas Esa Unggul
Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Neuroscience Physics Public Health Social Sciences Transportation Other

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PENGEMBANGAN APLIKASI WISATA KULINER LOKAL BERBASIS ANDROID MENGGUNAKAN METODE RAPID APPLICATION DEVELOPMENT (RAD) Samuel, Samuel; Herwanto, Agus; Irawan, Bambang; Tjahjono, Budi
IKRA-ITH Informatika : Jurnal Komputer dan Informatika Vol. 9 No. 3 (2025): IKRAITH-INFORMATIKA Vol 9 No 3 November 2025
Publisher : Fakultas Teknik Universitas Persada Indonesia YAI

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

Abstract

In the digital era, the regional tourism sector is required to continuously innovate in providing information and services to tourists, including promoting the potential of local culinary tourism. This research aims to design and develop an Android-based local culinary tourism application as an effort to support increased tourist visits to the region. The development method used is Rapid Application Development (RAD), which is considered capable of producing applications with a fast, flexible, and adaptive development process to user needs. The application provides a search feature for nearby culinary locations, recommendations for popular restaurants, travel route maps, and user reviews, supporting a more informative and interactive culinary tourism experience. Testing was conducted through several stages, from unit testing to system testing, to ensure each feature operates according to specifications. The development results indicate that this application can help tourists find culinary information practically while also supporting local culinary businesses in promoting their products digitally. It is hoped that this application can support increasing the attractiveness of culinary tourism in the region, strengthening the local tourism ecosystem, and making a significant contribution to the growth of the technology-based creative economy.
Pemberdayaan UMKM Melalui Pelatihan Strategi Marketing Digital dan Affiliate TikTok untuk Meningkatkan Brand Awareness dan Penjualan Novita, Diana; Hanifah, Hanifah; Ismail, Ismail; Herwanto, Agus
Jurnal Abdimas Kartika Wijayakusuma Vol 6 No 4 (2025): Jurnal Abdimas Kartika Wijayakusuma
Publisher : LPPM Universitas Jenderal Achmad Yani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26874/jakw.v6i4.1195

Abstract

Pemberdayaan UMKM di era digital menjadi kebutuhan mendesak mengingat tingginya tingkat persaingan bisnis serta perubahan perilaku konsumen yang semakin bergantung pada platform digital. TikTok sebagai media sosial berbasis video pendek menunjukkan pertumbuhan signifikan dan menghadirkan peluang besar bagi UMKM melalui fitur TikTok Shop dan TikTok Affiliate. Kegiatan yang dilakukan bertujuan menganalisis efektivitas pelatihan strategi marketing digital dan pemanfaatan program Affiliate TikTok dalam meningkatkan brand awareness dan penjualan UMKM. Media sosial terbukti mampu meningkatkan brand exposure dan interaksi konsumen. Hasil kegiatan menunjukkan bahwa pelatihan digital marketing berbasis TikTok meningkatkan pemahaman UMKM dalam membuat konten, memahami algoritma TikTok, serta bekerja sama dengan kreator melalui sistem afiliasi. Penerapan strategi ini berdampak pada peningkatan jangkauan audiens dan konversi penjualan. Selain itu, kolaborasi dengan affiliate terbukti efektif dalam meningkatkan brand awareness melalui pendekatan influencer-driven marketing. Hasil kegiatan ini mendukung temuan sebelumnya bahwa digital marketing berperan penting dalam memperkuat daya saing UMKM. Hasil studi ini dapat digunakan oleh UMKM dan pemerintah untuk merancang program pelatihan digital yang lebih tepat sasaran.
Perancangan dan Implementasi Aplikasi Virtual Try-On Pakaian dengan Fitur Unggah Model 3D Berbasis Web Menggunakan React dan Three.js Septian, Irfan; Ariessanti, Hani Dewi; Herwanto, Agus; Go, Ratna Yulika
Journal Artificial: Informatika dan Sistem Informasi Vol. 4 No. 1 (2026): April 2026
Publisher : Pustaka Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54065/artificial.1142

Abstract

E-commerce telah berkembang pesat, dengan visualisasi produk dan kecerdasan buatan (AI) menjadi faktor kunci dalam meningkatkan pengalaman pengguna dan membantu pengambilan keputusan pembelian. Penelitian ini bertujuan merancang dan mengembangkan aplikasi web Virtual Try-On untuk produk busana, di mana pengguna dapat melihat pakaian dalam bentuk model 3D interaktif serta memanfaatkan fitur chatbot AI untuk rekomendasi fashion. Aplikasi dibangun menggunakan framework React.js di sisi frontend dan Three.js untuk merender model 3D pakaian yang dapat diunggah (upload) ke sistem. Fitur 3D memungkinkan pengguna memutar, memperbesar, dan melihat pakaian dari berbagai sudut seolah-olah mencobanya secara virtual, memberikan gambaran yang lebih nyata dibanding foto 2D. Selain itu, diintegrasikan AI “Gemini” sebagai virtual stylist – berupa chatbot interaktif yang dapat menjawab pertanyaan seputar produk dan memberikan saran outfit personal. Metodologi penelitian meliputi analisis kebutuhan, perancangan UI/UX, implementasi sistem, serta pengujian fungsional (black-box) dan uji coba pengguna. Hasil implementasi menunjukkan platform e- commerce dengan fitur try-on 3D dan chatbot AI dapat berjalan dengan baik. Pengguna dapat berinteraksi dengan model 3D secara lancar dan mendapatkan rekomendasi fashion secara real-time. Fitur-fitur ini terbukti meningkatkan pemahaman pengguna teqrhadap produk sekaligus memberikan dukungan keputusan yang lebih akurat melalui teknologi AI. Pengujian menunjukkan seluruh fungsionalitas utama sudah sesuai kebutuhan, dan umpan balik pengguna awal mengindikasikan pengalaman belanja yang lebih interaktif, informatif, dan percaya diri dengan adanya visualisasi 3D dan asisten virtual.
Sistem Monitoring Sensor Udara Berbasis Arduino dengan Menggunakan Telegram Visal Mohammad Rizki; Agus Herwanto; Budi Tjahjono; Bambang Irawan
Jurnal Informatika Universitas Pamulang Vol 10 No 3 (2025): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jiup.v10i3.53436

Abstract

This study aims to design and implement an Arduino Uno and NodeMCU ESP8266-based air quality monitoring system integrated with Telegram as an Internet of Things (IoT)-based automatic notification medium. This system uses MQ-7, MQ-135, and MG811 sensors to detect CO, CO₂, and other air pollutants. The research method is descriptive quantitative with testing at two locations with different activity levels, namely (1) Lebak Bulus Terminal (heavy traffic) and (2) Jl. H. Midar Pondok Pinang (low activity). The results show that CO levels reached 120 PPM at Lebak Bulus Terminal in the afternoon, which is categorized as “unhealthy” based on the Air Pollutant Standard Index (ISPU). The system was able to detect differences between clean and polluted air with 97% accuracy, a response time of 2.3 seconds, and a 98% notification success rate via Telegram. These results indicate that the system operates in real-time, efficiently, and is easily accessible, while also increasing public awareness of air quality and mitigating health risks due to pollution.
Convolutional Neural Networks-Based Deep Learning for Diabetic Retinopathy Detection Nurmalasari, Mieke; Kurniawati, Anastasia Cyntia Dewi; Herwanto, Agus; Kurniawati, Dyah; Muchlis, Husni Abdul; Pertiwi, Tria Saras
Indonesian Journal of Artificial Intelligence and Data Mining Vol 9, No 1 (2026): March 2026
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v9i1.38631

Abstract

Diabetic retinopathy (DR) is a major complication of diabetes that can cause permanent vision loss, affecting about 35% of people with type 2 diabetes worldwide. However, existing diagnostic models often struggle with class imbalance and limited generalizability across diverse real-world datasets. Early detection is crucial, yet manual screening is time-consuming and depends on expert assessment. This study develops an automated DR diagnostic system using deep learning to classify fundus images by severity. The model uses an EfficientNetB3 CNN pretrained on ImageNet, combined with CLAHE preprocessing to enhance image contrast. The preprocessing steps include resizing, CLAHE, normalization, and data augmentation (±20° rotation, horizontal flipping, and ZCA whitening). The dataset is the Gaussian-filtered APTOS 2019 set, consisting of 2,750 images across five DR levels (0–4). The model achieved 95% training accuracy and 75% validation accuracy, with overfitting observed after epoch 14. While training performance was high, evaluation metrics (Precision, Recall, F1-Score, and AUC) indicate the need for early stopping or regularization to improve generalization. Overall, CNN-based deep learning can effectively automate DR detection, though further optimization is required for better performance on unseen data. Clinically, this automated pipeline offers a reliable decision-support tool to prioritize high-risk patients for immediate ophthalmological review
Pembuatan Katalog Produk Desa Wisata Bantaragung Berbasis QR Code untuk Mendukung Penjualan Dewi Melati; Agus Wibowo; Amna Amna; Vita Evelini Handayani Sinaga; Agus Herwanto
Jurnal Penelitian dan Pengabdian Masyarakat Vol. 4 No. 2 (2026): May 2026 In Press
Publisher : Yayasan Pondok Pesantren Sunan Bonang Tuban

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61231/4ehybz17

Abstract

This Community Service (PkM) activity aimed to assist village SME actors in creating a digital product catalog and QR Code that can be directly placed on stalls, product packaging, or promotional media. The methods used included field observation, interviews with tourism village managers and SME actors, catalog creation using Canva, storage on Google Drive, QR Code creation via me-qr.com, hands-on training, and questionnaire-based evaluation. The activity was held on May 8–9, 2026, and was attended by SME actors, Pokdarwis managers, and village residents. As a result, 5 SME products were documented in a 10-page digital catalog, 5 QR Codes were created and placed at strategic locations, and 2 ready-to-use product promotion posters were handed over to partners. The questionnaire evaluation showed an average satisfaction score of 3.85 out of 4 (very good category). SME actors stated that the QR Code-based catalog helped them promote their products more easily and made their products appear more professional in the eyes of tourists. 
A Social Engineering Mitigation Model Based on Digital Security Literacy for Social Media Users in Indonesia Diana Novita; Hanifah Hanifah; Agus Herwanto
Cyber Security and Network Management Vol. 1 No. 2 (2026): May: Cyber Security and Network Management
Publisher : Asosiasi Pengelola Jurnal Informatika dan Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66472/cybernet.v1i2.344

Abstract

The development of digital technology and the increasing use of social media in Indonesia have expanded people's communication activities, but have also increased the risk of security attacks based on human manipulation or social engineering. These attacks exploit user behavioral weaknesses rather than technical system vulnerabilities, thus posing a significant threat in the modern information security ecosystem. This study aims to develop a social engineering mitigation model based on digital security literacy to increase social media user awareness. The research method uses a quantitative approach with a survey technique of 210 respondents who are active social media users in Indonesia. Data were analyzed using Structural Equation Modeling–Partial Least Square (SEM-PLS) to examine the relationship between digital security literacy, cybersecurity awareness, and user vulnerability to social engineering attacks. The results show that digital security literacy significantly increases user awareness (β = 0.71; p < 0.001) and can reduce attack vulnerability by 64%. This finding emphasizes the importance of a human-centric cybersecurity approach that places humans as the primary layer of defense in digital security. The proposed mitigation model includes continuous digital security education, increased security awareness, and the implementation of adaptive authentication as a preventive strategy against social engineering attacks. This research provides practical contributions to the development of user behavior-based information security strategies and provides recommendations for educational institutions, organizations, and policymakers in strengthening the digital security resilience of Indonesian society..
The Role of ChatGPT in Business Information Systems to Support Strategic Decision Making in Medium-Scale Enterprises Karno Diantoro; Era Sari Munthe; Agus Herwanto; Roy Mubarak; Nanik Istianingsih
Jurnal Minfo Polgan Vol. 13 No. 1 (2024): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v13i1.13673

Abstract

Medium-scale companies often operate in dynamic and competitive business environments. Faced with market changes and new opportunities, timely and accurate strategic decisions are key to maintaining and enhancing the competitiveness of the company. This research aims to examine the role of ChatGPT in business information systems to support strategic decision-making in medium-scale enterprises. The research method employed is a literature review with a qualitative approach and descriptive analysis. Descriptive analysis will be used to present information from systematically selected articles from Google Scholar within the timeframe of 2014-2024. The study results indicate that in the continuously evolving digital era, medium-scale companies increasingly rely on technology to address increasingly complex business challenges. One innovation playing a significant role in today's business landscape is the presence of ChatGPT. As an artificial intelligence model capable of understanding and generating text naturally, ChatGPT has a significant impact on business information systems and supports strategic decision-making in these companies.
Sistem Location Based Services Untuk Menentukan Kendaraan Terdekat Alfi Muhammad Dzikra; Dewi Setiowati; Yulhendri Yulhendri; Agus Herwanto
Jurnal Minfo Polgan Vol. 14 No. 2 (2025): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v14i2.15279

Abstract

Penelitian ini bertujuan untuk merancang dan mengembangkan sistem rental mobil berbasis web yang dilengkapi dengan fitur Location Based Services (LBS). Fitur ini dirancang untuk membantu pengguna menemukan kendaraan terdekat secara cepat, akurat, dan efisien. Latar belakang penelitian muncul dari permasalahan pada sistem rental mobil konvensional, seperti pencarian mobil yang masih memerlukan waktu lama, proses transaksi yang dilakukan secara manual, serta keterbatasan informasi terkait lokasi kendaraan. Kondisi tersebut sering menimbulkan ketidaknyamanan bagi pengguna dan menghambat penyedia layanan dalam memberikan pelayanan optimal. Metode pengembangan yang digunakan dalam penelitian ini adalah Extreme Programming (XP) karena metode ini memungkinkan proses perancangan dan implementasi dilakukan secara bertahap, disertai pengujian berulang untuk memastikan kualitas sistem tetap terjaga. Aplikasi dibangun menggunakan teknologi berbasis web yang diintegrasikan dengan peta interaktif, sehingga dapat menampilkan posisi kendaraan secara real-time. Selain itu, sistem ini dilengkapi dengan fitur registrasi, login, pencarian mobil terdekat, pemilihan kendaraan berdasarkan kategori, hingga proses pemesanan dan manajemen data. Hasil pengujian menggunakan metode black box testing menunjukkan bahwa seluruh fitur utama berfungsi sesuai dengan kebutuhan. Sistem yang dihasilkan diharapkan mampu meningkatkan efisiensi operasional penyedia jasa, mempercepat proses pelayanan, serta memberikan pengalaman penyewaan yang lebih mudah, praktis, dan akurat bagi pengguna di berbagai lokasi.
Co-Authors A.A. Ketut Agung Cahyawan W Adi Widiantono Adrian Adrian Agus Wibowo Akbar, Habibullah Alfi Muhammad Dzikra Alfian Mahendra, Muhammad Amna Mawardi Anggoro, Rio Anwar Senen Ardana Putri, Sevtia Ary Prabowo Azis, Nur Bambang Irawan Budi Tjahjono Cahyomayndarto, Eko Dewi Melati Dewi Setiowati Diah Aryani, Diah Diana Novita Diana Novita Diantoro, Karno Donny Hamzah P.H. Dyah Kurniawati Elsy Rahajeng, Elsy Era Sari Munthe Era Sari Munthe Essy Malays Sari Sakti Evi Martaseli Fahrul Nurzaman Hani Dewi Ariessanti Hanifah Hanifah Hanifah Hanifah hanifah hanifah Husni Abdul Muchlis Ichwani, Arief Insana, Dwi Rorin Mauludin Irawan, Bambang Irwanto, Dola Ismail Ismail Istianingsih, Nanik Iwan Setiawan Jason, Aaron Jefry Sunupurwa Asri Karno Diantoro Khasanah Khasanah Komul, Theodora Maria Putri Kurniawati, Anastasia Cyntia Dewi Latumapayahu, Febrian Firmansyah Malabay Malabay Marwan Marwan Mayndarto, Eko Cahyo Melinda Melinda Moch Anton Maulana Mooduto, Hanriyawan Adnan Muhammad Hadi Arfian Muhlasin, Muhlasin Nafisah Yuliani Nixon Erzed Nizirwan Anwar Novia Aprilia Nugroho, Irfan Hari Nurchaerani, Meiyanti Nurhayati Nurhayati Nurmalasari, Mieke Pangestu Selokaton, Anjang Pramesty, Feranti Destina Primaranti, Jenyta Putera Setiawan, Erlangga Rahaman, Mosiur Ratna Yulika Go Roy Budiharjo Roy Mubarak Samuel Samuel Sembiring, Rinawati Septian, Irfan Sitti Suhada Sri Kurniawati Sucipto, Purwo Agus Sutanto, Imam Tria Saras Pertiwi Unik Ambarwati Visal Mohammad Rizki Vita Evelini Handayani Sinaga Wahyu, Sawali Widyanto, Muhammad Laras Widyawan, Tri Ismardiko Yulhendri Yulhendri Yuliani, Nafisah Yuliati -