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All Journal Infotech Journal JOIN (Jurnal Online Informatika) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Informatika Universitas Pamulang PROCEEDING STIMA MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer BERNAS: Jurnal Pengabdian Kepada Masyarakat Tematik : Jurnal Teknologi Informasi Komunikasi Decode: Jurnal Pendidikan Teknologi Informasi Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Jurnal INFOTEL Jurnal Informatika: Jurnal Pengembangan IT SEMINAR TEKNOLOGI MAJALENGKA (STIMA) International Journal of Applied Information Systems and Informatics
Ardi Mardiana
Department Of Informatics, Faculty Of Engineering,Universitas Majalengka, Indonesia
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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Penerapan Convolutional Neural Network (CNN) untuk Klasifikasi Kualitas Beras sebagai Strategi Peningkatan Keamanan Pangan di Indonesia Ade Bastian; Priyadi, Deni; Zaliluddin, Dadan; Mardiana, Ardi; Wahid, Abrar; Rifki, Muhamamad; Fahmi Aziz, Muhamamad
TEMATIK Vol. 12 No. 1 (2025): Tematik : Jurnal Teknologi Informasi Komunikasi (e-Journal) - Juni 2025
Publisher : LPPM POLITEKNIK LP3I BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38204/tematik.v12i1.2332

Abstract

Food fraud has emerged as a significant global issue, threatening public health, economic stability, and consumer trust across the food supply chain. In the context of rice—a staple consumed by more than half of the world’s population—the proliferation of counterfeit products poses a critical risk. This study aims to develop a deep learning-based classification model using Convolutional Neural Networks (CNN) to accurately distinguish between medium-grade, premium, and counterfeit rice. The research involved the systematic collection of 100 grain images per rice category, followed by preprocessing, data augmentation, and model training using an optimized CNN architecture for image-based classification. The dataset was split into training, validation, and testing subsets with a 60:20:20 ratio. The model was trained over 12 epochs, achieving a training accuracy of 95%. Evaluation using the test set yielded identical accuracy, with the confusion matrix confirming perfect classification across categories. External validation further demonstrated the model’s robustness and generalizability. The findings highlight CNN’s potential as an effective tool for enhancing food safety monitoring systems and combating rice fraud. This AI-driven approach contributes to agricultural quality control and emphasizes the role of machine learning in promoting food security and authenticity assurance. However, CNN models face limitations, including susceptibility to overfitting when trained on insufficiently diverse data and high computational demands during training. These challenges underscore the need for diversified datasets and the exploration of alternative architectures offering comparable performance with greater computational efficiency.
The Evolution of Image Captioning Models: Trends, Techniques, and Future Challenges Bastian, Ade; Wahid, Abrar; Hafsari, Zacky; Mardiana, Ardi
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 10, No. 4, November 2025
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v10i4.2305

Abstract

This study provides a comprehensive systematic literature review (SLR) of the evolution of image captioning models from 2017 to 2025, with a particular emphasis on the impending problems, methodological enhancements, and significant architectural developments. The evaluation is guided by the increasing demand for precise and contextually aware image descriptions, and it adheres to the PRISMA methodology. It selects 36 relevant papers from reputable scientific databases. The results indicate a significant transition from traditional CNN-RNN models to Transformer-based architectures, which leads to enhanced semantic coherence and contextual comprehension. Current methodologies, such as prompt engineering and GAN-based augmentation, have further facilitated generalization and diversity, while multimodal fusion solutions, which incorporate attention mechanisms and knowledge integration, have improved caption quality. Additionally, significant areas of concern include data bias, equity in model assessment, and support for low-resource languages. The study underscores the fact that modern vision-language models, such as Flamingo, GIT, and LLaVA, offer robust domain generalization through cross-modal learning and joint embedding. Furthermore, the efficacy of computing in restricted environments is improved by the development of pretraining procedures and lightweight models. This study contributes by identifying future prospects, analyzing technical trade-offs, and delineating research trends, particularly in sectors such as healthcare, construction, and inclusive AI. According to the results, in order to optimize their efficacy in real-world applications, future picture captioning models must prioritize resource efficiency, impartiality, and multilingual capabilities.
Run Length Encoding Compresion on Virtual Tour Campus to Enhance Load Access Performance Bastian, Ade; Mardiana, Ardi; Berliani, Mega; Firmansyah, Mochammad Bagasnanda
JOIN (Jurnal Online Informatika) Vol 8 No 1 (2023)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v8i1.1000

Abstract

Virtual tour is one of the rapidly growing applications of multimedia technology which is used for various purposes, including the dissemination of information in an interesting way. The education sector is also not spared from using virtual tour media for promotional purposes, and campuses are no exception to this rule. Large virtual tour content causes high access speed, ultimately reducing the level of comfort experienced by users. This study aims to compress panoramic images displayed on a campus virtual tour using a lossless compression method and the Run Length Encoding (RLE) algorithm. First, panoramic images are combined into one, then individual images are compressed. When recreating a virtual campus tour, compressed images are used so that the amount of data transferred is smaller. The load access speed index increases from 7,233 seconds to 3,789 seconds when images are compressed from 64 bits to 8 bits, with a compression percentage of 27%. The findings from this research are that the RLE algorithm has not been able to compress large files effectively even though it is quite successful in increasing the load access of the virtual tour website.
RANCANG BANGUN APLIKASI PENDUKUNG PENGAMBILAN KEPUTUSAN PENYELEKSIAN CALON SISWA BARU Risma Miftahul Ulum, Ade; Mardiana, Ardi
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 4 (2019): Inovasi Desa Menuju Era 4.0 : Merangsang Inovasi Desa Melalui Pemanfaatan Internet of
Publisher : Universitas Majalengka

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Abstract

The acceptance of new student is one of processes within educational institutions like school which is used to select candidate according to stated criteria by related school. Generally, the process of acceptance of new student began with registration, selection, and announcement steps of new student. This research was taken place at SMPN 1 Kasokandel which during the time has practiced the acceptance of new student manually or computerized but used Microsoft Office Excel only. It caused lack data, mistake within measurement because of manually mark measurement. Fundamental problem of this research is how to install information system for acceptance of new student at SMPN 1 Kasokandel that make information representation accurately and efficiently. therefore the author intends to create a new application-based student admission information system using the java programming language and MySQL database.
Rancang Bangun Aplikasi Surat Pada Sub Bagian Komunikasi Pimpinan Bagian Protokol Dan Komunikasi Pimpinan Asisten Administrasi Umum Sekretariat Daerah Kabupaten Majalengka Elawati; Ardi Mardiana
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 5 (2021): STIMA 5.0 Kebangkitan Nasional Digital Era Industri 4.0
Publisher : Universitas Majalengka

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Abstract

The purpose of this research is to make a letter application to provide convenience to the manager of the manuscript in the Sub Division of Administration of the General Section of the General Administration Assistant of the Regional Secretariat of Majalengka Regency. This application is used for mail data management. The research methodology used in making this application is the XP (Extreme Program) method. Meanwhile, for making application interfaces using XAMPP software with the Bootstrap CSS framework and PHP Codeigniter framework with the MVC model (Model, View, Controller). The results of letter management with this application can print blank disposition sheets, letter data reports and can store files and letter data more properly in the storage directory. Applications made are based on the process of managing letters in the Sub Division of Administration Head of General Administration Assistant for General Administration of the Regional Secretariat of Majalengka Regency. This research is expected to be able to assist manuscript management in managing, filing and searching letters quickly, precisely and accurately.
PERANCANGAN WEBSITE JURNAL DAN LAPORAN KULIAH KERJA NYATA MAHASISWA (KNM) UNIVERSITAS MAJALENGKA TAHUN 2019 Ridwan, Nugraha Sugiana; Mardiana, Ardi
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 5 (2021): STIMA 5.0 Kebangkitan Nasional Digital Era Industri 4.0
Publisher : Universitas Majalengka

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Abstract

Student Real Work Lecture (KNM) is one form of devotion performed by students by giving lessons to the community in accordance with the knowledge that students have in their respective fields. During knm activities, students develop work programs that suit the needs and characteristics of the KNM implementation site accompanied by a report of work programs / KNM activities. The form of report that is still in the form of paper (manual) is considered ineffective because of limited storage space, limited availability of reports (report stock), and limited access to reports (which can only be accessed during business hours). This research was conducted with the aim to build an application that can provide convenience for students in processing KNM reports and reporting every activity during the KNM. This research study used the Rational Unified Process (RUP) and UML software development methodologies as software development models. Because the purpose in the beginning is to provide the availability of report access, the application that will be created is a web-based database application by utilizing Codeigniter Framework tools. From the research, a web-based application will be produced that can be accessed by each KNM participant.
IMPLEMENTASI METODE K-MEANS UNTUK CLUSTERING PRODUK YANG KURANG DIMINATI BERDASARKAN DATA PENJUALAN ARDI MARDIANA; Budiman, Budiman
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 6 (2022): STIMA 6.0 Bangkit Bersama Membangun Majalengka Smart City
Publisher : Universitas Majalengka

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Abstract

Nanti Bang
ANALISIS PERAMALAN PENJUALAN MENGGUNAKAN METODE EXPONENTIAL SMOOTHING Mardiana, Ardi; Wulan Dari, Tiara
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 7 (2023): STIMA 7.0 "Transformasi Peradaban Akademik Menyongsong Revolusi Industri 5.0"
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/stima.v7i0.847

Abstract

Pepro Cloth adalah perusahaan yang bergerak di bidang jasa pembuatan kaos, pdh, sweater, topi, mug, pin. Dalam mempersiapkan stok barang, Pepro Cloth masih dilakukan secara manual tanpa memperhitungkan barang terjual pada periode sebelumnya yang mengakibatkan kelebihan dan kekurangan stok barang. Hal tersebut dapat merugikan dan menghambat keuntungan bagi perusahaan. Oleh karena itu dibutuhkan suatu peramalan yang diharapkan dapat membantu perusahaan dalam menentukan jumlah stok barang yang akan dipesan pada periode selanjutnya. Metode peramalan yang digunakan adalah Metode Exponential Smoothing dengan alpha = 0,5, dan MAD, MSE dan MAPE sebagai standar error. Data yang digunakan diambil dari data stok barang pada tahun 2021-2022 sebagai referensi. Setelah dilakukan pengujian terhadap data tes enam bahan, dengan menggunakan metode Exponential Smoothing didapatkan hasil Periode selanjutnya bulan Agustus 2021, Yaitu Combed dengan tingkat akurasi 96,14%, Fleece dengan tingkat akurasi 90,86%, Drill dengan tingkat akurasi 96,18%, Topi dengan tingkat akurasi 92,25%, Mug dengan tingkat akurasi 91,5%, Pin dengan tingkat akurasi 79,69%. Dengan nilai standar error tersebut dapat simpulkan bahwa peramalan ini layak dan dapat diterapkan pada perusaan Pepro Cloth
RANCANG BANGUN SISTEM INVENTORY DAN KASIR BERBASIS WEB PADA JALAKOTEK ASEP (Studi Kasus: Toko Jalakotek Asep) Fauzan Faturahman Azkia; Ardi Mardiana
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 7 (2023): STIMA 7.0 "Transformasi Peradaban Akademik Menyongsong Revolusi Industri 5.0"
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/stima.v7i0.913

Abstract

The effective management of inventory is a critical aspect of any business, as it directly influences operational efficiency, cost control, and customer satisfaction. In this study, we present the design and implementation of a comprehensive Inventory Management System (IMS) aimed at optimizing inventory control and streamlining the inventory-related processes for small and medium-sized enterprises (SMEs). The system is developed using a combination of modern technologies, including a web-based front-end for easy accessibility and a robust database to store inventory-related information securely. The backend utilizes algorithms to predict demand patterns, ensuring optimized stock levels to prevent stockouts and overstocking. The results indicate that the implementation of the IMS significantly improves inventory management efficiency, reduces carrying costs, and enhances inventory accuracy by minimizing manual errors. The streamlined processes lead to faster order fulfillment and improved customer satisfaction.
PENGEMBANGAN DESAIN USER EXPERIENCE (UX) PADA WEBSITE KECAP SEGI TIGA MAJALENGKA Permana, Sri Mentari Widya Ningrum; Mardiana, Ardi
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 9 (2025): Seminar Teknologi Majalengka (STIMA) 9.0 Tahun 2025
Publisher : Universitas Majalengka

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Abstract

The rapid development of digital technology has encouraged companies to utilize websites as a medium for promotion and branding. This study focuses on the development of user experience (UX) and user interface (UI) design for the Segi Tiga Soy Sauce website, which previously had limited digital presence and promotional reach. The objective of this research is to design a responsive, modern, and user-friendly website that improves customer engagement and supports the company’s business growth. The research applies the Design Sprint method, consisting of five stages: understand, diverge, decide, prototype, and validate. Data collection was conducted through interviews, observation, and literature studies to identify user needs and business requirements. The design process produced wireframes, storyboards, and prototypes using Figma, followed by usability testing with 20 respondents. The evaluation results using the System Usability Scale (SUS) showed a score of 87, indicating high user satisfaction and effective usability. The findings demonstrate that the proposed design not only enhances branding and professionalism but also improves market reach and communication efficiency for the company. This research highlights the importance of integrating UX principles in website development to achieve both functional and aesthetic goals in digital business promotion.
Co-Authors Aas Nuraisah Abdurahman, Dede Abrar Wahid Aceng Jarkasih Ade Bastian Adriansyah, Rizky Adin Aji Permana Ano Tarsono Asep Rachmat Ayu Sunengsih Azizah Nurzakiyah Berliani, Mega Billy Adrian Fernanda Budiman Citra Pebrianti Fitria Dadan Zaliluddin Dede Didin Dede Maulana Deffy Susanti Deffy Susanti Dinda Sri Wulansari Dony Susandi Eka Tresna Irawan Eka Tresna Irawan Elawati Enang Rusnandi Enceng Enda Suhada Endah Prihartini Fahmi Aziz, Muhamamad Fauzan Faturahman Azkia Firmansyah, Mochammad Bagasnanda Fitriyani, Rofi Gary Gibran Amnesty Geraldy Fatullah Hafsari, Zacky Harun Sujadi Ii Sopiandi, Ii Iis Caswini Intan Kusumadewi Irawan, Eka Tresna Jamhari Jamhari Kiranti, Mei Bunga Koswara, Engkos Mega Berliani Mochammad Bagasnanda Firmansyah Muhamamad Rifki Muhammad Dziya Dhiyauddin Muhammad Fahmi Ajiz Muhammad Iqbal Assegaf Muhammad Rifki Muhammad Rifki Muslimah, Dinda Desmonda Nisa Farhatunnisa Nunu Nurdiana Nunu Nurdiana Pangestu, Arki Aji Permana, Sri Mentari Widya Ningrum Priyadi, Deni Puput Putriani Ridwan, Nugraha Sugiana Rifki, Muhamamad Riri Nurazizah Risa Risnawati Risma Miftahul Ulum, Ade Rizki Amelia Safari Yonasi Sandi Fajar Rodiyansyah Sandi Fajar Rodiyansyah Satria Winata Sri Mentari Widya Ningrum Permana Syifaa Puspita Rahayu Tarsono, Ano Tri Ferga Prasetyo Wahid, Abrar Wahono, Syiffa Safiera Wildan Zhilal Manafi Wulan Dari, Tiara