Article Per Year (5 Year)
p-Index From 2021 - 2026
5.826
P-Index
This Author published in this journals
All Journal JURNAL SISTEM INFORMASI Agrikultura Jurnal Informatika Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Prosiding Semnastek Infotech Journal Proceeding SENDI_U Naturalistic : Jurnal Kajian dan Penelitian Pendidikan dan Pembelajaran SMARTICS Journal JITK (Jurnal Ilmu Pengetahuan dan Komputer) PROCEEDING STIMA Jurnal Nasional Komputasi dan Teknologi Informasi IJISTECH (International Journal Of Information System & Technology) Indonesian Journal of Business Intelligence (IJUBI) Jurnal Mnemonic Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat BERNAS: Jurnal Pengabdian Kepada Masyarakat Tematik : Jurnal Teknologi Informasi Komunikasi Jurnal Pengabdian kepada Masyarakat Nusantara IJISTECH Industrial Research Workshop and National Seminar Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Prapanca : Jurnal Abdimas J-ENSITEC (Journal of Engineering and Sustainable Technology) SENAPAS Seminar Nasional Teknologi dan Multidisiplin Ilmu The Eastasouth Journal of Information System and Computer Science SEMINAR TEKNOLOGI MAJALENGKA (STIMA)
Tri Ferga Prasetyo
Universitas Majalengka
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 61 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 61 Documents
Search

 3   4   5   6   7 
PERANCANGAN GAME PUZZLE HURUF HIJAIYAH MENGGUNAKAN CONSTRUCT 2 BERBASIS ANDROID Gelen Jeniffer; Tri Ferga Prasetyo
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.v7i0.863

Abstract

Hijaiyyah (Arabic letters) has been around for centuries, when the Al-Quran was first revealed using hijaiyyah, because the first time the Al-Quran was revealed was in Arabic. The importance of learning Arabic letters because these letters are used in writing the Koran. Muslims are obligated to learn the Koran. Educational games are a type of media that are used to teach, increase user knowledge through unique and interesting media. This type is usually intended for children. Construct 2 is a game creator made by Scirra, which is one of the games that game developers are interested in because construct 2 is easy to use and has many tutorials and templates available. in making this game the author uses the Game Development Life Cycle (GDLC) method because the stages are appropriate. The purpose of this research is to introduce the basic knowledge of Islamic religion, produce games with interactive 2D views and features that are interesting for players, this educational game is to encourage children to be more active in learning.
RANCANG BANGUN PROTOTYPE SMART GREENHOUSE MENGGUNAKAN THINGSPEAK Raihan Nurfarisi; Alfian, Andi; Tri Ferga Prasetyo
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 8 (2024): STIMA 8.0 : Menuju Kesinambungan : Inovasi dan Adaptasi Teknologi untuk Pembangunan Be
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/stima.v8i0.1106

Abstract

The design of this smart greenhouse prototype is one of the implementations of artificial intelligence controlled by the Arduino uno microcontroller, which has actuators in the form of lights and pumps and is equipped with DHT22 sensors, Soil Moisture and Temperature Sensors. The method used in making this smart greenhouse prototype is the Prototype method. There are seven stages in the prototype method that guide the process of making robots, namely gathering requirements, building prototypes/prototypes, evaluating prototypes, programming systems, testing systems, evaluating systems, and using the system. The most important stage in making this smart greenhouse prototype is the stage where at this stage testing is carried out on the results of the design and programming of the robot that has been made to prove the robot prototype is in accordance with what is desired or not. The testing process is carried out in tandem with the assembly process and programming process. In the process of assembling and programming the robot prototype, it is done with system errors. Testing with system errors is carried out to get a robot prototype that works optimally.
SYSTEMATIC LITERATURE REVIEW IOT UNTUK PERTANIAN PRESISI DAN KESEHATAN TANAH Sirotujanah, Retno Sari; Aros , Desfi Silvia; Prasetyo, Tri Ferga
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 9 (2025): Seminar Teknologi Majalengka (STIMA) 9.0 Tahun 2025
Publisher : Universitas Majalengka

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

Abstract

The utilization of Internet of Things (IoT) and Artificial Intelligence (AI) technologies in agriculture has advanced significantly; however, challenges related to the adoption of these technologies remain substantial, particularly concerning the implementation of efficient precision irrigation systems. This study aims to address the issues of low water-use efficiency in traditional irrigation systems and the limited early detection of crop diseases, an area not fully exploited by current technologies. Using a Systematic Literature Review (SLR) approach, this research identifies IoT and AI-based solutions to enhance agricultural productivity with an emphasis on more efficient and environmentally sustainable resource management. The SLR methodology employed follows the PRISMA guidelines, encompassing stages of identification, screening, and eligibility assessment of 1,248 relevant articles, which were subsequently narrowed down to 43 articles that met the inclusion criteria. The analysis reveals that the integration of IoT and AI can significantly improve precision irrigation efficiency and early disease detection, ultimately leading to reductions in water usage and pesticide application, while enhancing agricultural yield sustainability. The study concludes that while these technologies offer substantial solutions to key challenges in agriculture, successful implementation will require supportive policies and adequate training for farmers to fully harness these advancements.
PENGEMBANGAN GAME EDUKASI INTERAKTIF EKSPLORASI SEJARAH ISLAM DI JAWA BARAT (STUDI KASUS MADRASAH ALIYAH ASSALAM MAJA) Sondara, Muhammad Raka; Prasetyo, Tri Ferga
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 9 (2025): Seminar Teknologi Majalengka (STIMA) 9.0 Tahun 2025
Publisher : Universitas Majalengka

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

Abstract

Over time, the use of technology has become important in various aspects of daily life. One example is the field of education, the development and utilization of technology in learning can increase student interest because it offers a more interactive and dynamic learning experience. This study aims to develop an interactive educational game exploring Islamic history in West Java, with a case study at the Assalam Maja Madrasah Aliyah School. This game was developed to help students understand Islamic history material, especially Islamic history in West Java. The development methodology used is the GDLC Model, which involves the stages of initialization/concept creation, preproduction, creation, testing, beta, and launch. This educational game allows students to learn Islamic history in West Java through interactive quizzes and visually presented materials. The test results comparing conventional methods with this game, which are calculated using the N-Gain Score, show that this game is quite effective in improving students' understanding of Islamic history in West Java with a value range of 0.6. It is hoped that the development of this interactive educational game of Islamic history in West Java can be an alternative effective learning media.
KERANGKA DASAR JOINT FUSION MULTI-MODAL ARTIFICIAL INTERNET OF THINGS UNTUK PERTANIAN HORTIKULTURA Prasetyo, Tri Ferga; Sunardi; Fadlil, Abdul
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 9 (2025): Seminar Teknologi Majalengka (STIMA) 9.0 Tahun 2025
Publisher : Universitas Majalengka

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

Abstract

This paper proposes a joint-fusion multi-modal Artificial Intelligence of Things (AIoT) framework for precision horticulture on chili and tomato. We fuse time-series IoT signals (air/leaf temperature, humidity, soil moisture, pH, EC, PAR) with RGB/multispectral images of leaves, fruits, and canopy via an attention-based shared representation. In a 500 m² field trial in Majalengka with >5,000 labeled images and synchronized IoT streams (10-minute interval), our model outperforms single-modal baselines. For chili leaf disease detection, joint fusion reaches 90.0% accuracy (IoT-only 72.0%, vision-only 81.0%). For tomato maturity classification, it achieves 92.0% accuracy (IoT-only 68.0%, vision-only 84.0%). For yield estimation, the multi-modal regressor attains R² = 0.89. We detail data synchronization, train/validation/test splits, baseline configurations (IoT-LSTM, CNN/ViT, early/late fusion), and deployment on an edge-cloud pipeline. The results indicate that modeling cross-modal interactions improves robustness and decision support for irrigation, fertilization, and harvest scheduling. We conclude with ablation analyses and practical implications for Indonesian precision agriculture.
Rancang Bangun Website Company Profile Berbasis NextJs dan RAD (Studi Kasus: Dinas Lingkungan Hidup Majalengka) Rochmat, Saeful; Prasetyo, Tri Ferga
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 9 (2025): Seminar Teknologi Majalengka (STIMA) 9.0 Tahun 2025
Publisher : Universitas Majalengka

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

Abstract

This study aims to develop a prototype of a company profile website for the Environmental Agency Dinas Lingkungan Hidup (DLH) of Majalengka Regency as an initial step to support public information transparency and service digitalization. Currently, DLH Majalengka does not have an official website, which makes it difficult for the public to access information regarding environmental data, waste management, or complaint services. To address this issue, the research adopts the Rapid Application Development (RAD) method, which emphasizes fast development and user involvement in every stage. The research process includes requirements planning, system design using wireframes and UML diagrams, system development with the NextJS framework supported by TailwindCSS and Prisma ORM, and testing using blackbox feature testing. The results indicate that the prototype website has met the agency’s basic needs, including presenting organizational profiles, structure, environmental data publications, public complaint services, and an admin dashboard for report management. Significantly, this research contributes to strengthening e-government practices at the regional level, improving institutional transparency, and creating opportunities for further system development. The prototype has great potential to be officially implemented and to serve as a reference for developing government websites in other regions of Indonesia.
DEVELOPMENT OF A SMART IOT-BASED MONITORING SYSTEM FOR FERTIGATION AND SEED WEIGHT DETECTION IN SACHA INCHI Prasetyo, Tri Ferga; Purwanto, Muhamad Dendi; Sujadi, Harun; Andayani, Sri
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 2 (2025): JITK Issue November 2025
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i2.6968

Abstract

This research focuses on designing a fertilization monitoring system based on the Internet of Things (IoT) and detecting the weight of Sacha Inchi plant seeds. The two tools are integrated with IoT platforms, enabling remote monitoring and control via the Simosachi app. Test results indicate that the system provides accurate data on soil and plant conditions, allowing farmers to make informed decisions on fertilization and irrigation. The seed weight detection tool also functions well, with a minor error margin still within acceptable limits. With improved monitoring and control of the fertilization process, as well as accurate monitoring of crop yields, the system is expected to help farmers achieve more optimal harvests. The seed weight detection tool achieved an accuracy of 97.94%, surpassing similar prior systems in terms of real-time data integration and multi-parameter monitoring. Future research may focus on enhancing the accuracy of the seed weight detection tool and developing advanced fertigation control algorithms
IMPLEMENTASI PIPELINE PRODUCTION ANIMATION 3D MEDIA PROMOSI UNIVERSITAS MAJALENGKA Prasetyo, Tri Ferga; Zaliluddin, Dadan; Ibrahim, Maulana; Affandi, Amam Nur
Indonesian Journal of Business Intelligence (IJUBI) Vol 7 No 1 (2024): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v7i1.4275

Abstract

This study focuses on the implementation of a 3D animation production pipeline in promotional media, utilizing a variety of information technology tools to optimize processes and enhance visual effectiveness. The use of Agile project management software facilitates efficient team collaboration and rapid adaptation to changes, increasing productivity and design iteration quality. In the modeling and rendering processes, Blender and Autodesk Maya are employed to create complex 3D models and detailed visuals, supported by GPU processing to accelerate rendering and allow greater creative exploration. Unity is integrated to develop interactive simulations, adding game elements to the animations that enhance user engagement. Machine learning is applied in character rigging to automate and correct poses, reducing production time and improving visual expression. Procedural generation techniques are used to automate the creation of textures and environmental elements, is applied in the final presentation phase to deliver promotional content more immersively. This research reveals the significant potential of integrating information technology in speeding up 3D animation production and enhancing the visual and interactive user experience.
ANALSISIS KEBERHASILAN LITERASI DA NUMERASI SISWA SEKOLAH DASAR PADA PROGRAM KAMPUS MENGAJAR ANGKATAN 5 DI KABUPATEN MAJALENGKA MENGGUNAKAN METODE NAÏVE BAYES Abdurahman, Dede; Prasetyo, Tri Ferga; Awaludin, Iid Muiz
Indonesian Journal of Business Intelligence (IJUBI) Vol 7 No 1 (2024): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v7i1.4276

Abstract

The teaching campus provides collaboration between students and teachers in the development of learning which has an impact on strengthening literacy and numeracy. Results of the Program for International Student Assessment (PISA) and Trends in International Mathematics and Science Study (TIMSS) in 2015 Indonesia obtained a literacy score of 397 and a numeration of 386 ranked 62 out of 72 countries while in 2018 Indonesia obtained a literacy score of 371 and a numeration of 379 ranked 74 out of 79 countries. In Indonesia, parents pay little attention to their children's literacy and numeracy skills, so that the literacy and numeracy skills of students in Indonesia are relatively low. With the presence of teaching campus students it is hoped that they can become partners of teachers in developing literacy and numeracy learning models. To see the results of the success rate of teaching campus students in applying literacy and numeracy learning models, an analysis using the classification method is needed. Therefore, the authors make an analysis of the literacy and numeracy success of elementary school students in the class 5 teaching campus program using the Naïve Bayes Classifier method. Data classification techniques were carried out manually and by using the Rapidminer software, data classification was carried out by dividing into two categories in the form of literacy and numeracy results. The results of testing the training data and data testing for literacy get an accuracy value of 95.71%, 97.92% precision, 95.92% recall while for numeration get an accuracy value of 95.71%, 93.75% precision, 96.77% recall.
Model Prediktif Penyakit Tanaman Tomat Menggunakan Arsitektur EfficientNetB0 Prasetyo, Tri Ferga; Sunardi; Fadlil, Abdul
TEMATIK Vol. 12 No. 2 (2025): Tematik : Jurnal Teknologi Informasi Komunikasi (e-Journal) - Desember 2025
Publisher : LPPM POLITEKNIK LP3I BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38204/tematik.v12i2.2722

Abstract

Tomato (Solanum lycopersicum) is highly vulnerable to a range of foliar diseases that can reduce yield and hinder crop quality, particularly when early symptoms are difficult to distinguish in field conditions. To address this challenge, this study develops a predictive model for automatic tomato leaf disease classification using a lightweight EfficientNetB0 architecture. The dataset consists of 5,967 images from nine categories, combining 70% publicly available Kaggle PlantVillage data and 30% real-field images captured under natural outdoor illumination. The methodological pipeline includes preprocessing, data augmentation, and transfer learning, followed by fine-tuning of the upper layers of EfficientNetB0 to improve its ability to generalize toward field-specific variations such as uneven lighting and complex backgrounds. Evaluation results show that the model achieves an accuracy of 89%, with macro-average and weighted-average scores of 90%. These findings demonstrate that EfficientNetB0 provides an effective balance between predictive accuracy and computational efficiency, supporting its potential deployment in early detection systems and edge-based agricultural applications for real-time tomato disease monitoring.
Co-Authors Abd. Rasyid Syamsuri Abdul Fadlil Abdul Kholiq Abdurahman, Dede Abdurahman, Dede Abghi Firas Isdiana Abghi Firas Isdiana Abijar Algifari Aceng Jarkasih Acep Atma Wijaya, Acep Atma Ade Bastian Affandi, Amam Nur Affandi, Amam Nur Agung Subagja Agus Yuniawan Isyanto Ainul Hayati Alamsyah P, Agus Aldi Ardiansyah Permana Alfian, Andi Amalia, Lidya Nur Anisa Rismayanti Ardi Mardiana Aros , Desfi Silvia Aulia Hana Nurfadilah Awaludin, Iid Muiz Awaludin, Iid Muiz Azkiya, Muhammad Azkal Badhel, Yasser Gibran Cecep Roni Chandra Kusumah Citra Pebrianti Fitria Dadan Zalilluddin Dadan Zalilluddin Dadan Zaliluddin Dede Abdurahman Dede Abdurrahman Dede Riska Amalia Destiani, Putri Diana Surya Dimar Pateman Dony Susandi Febi Pazrin Fernanda, Billy Adrian Firmansyah Firmansyah Fitriani, Nadila Gelen Jeniffer Geraldy Fatullah Haq, Rosdiana Harun Sujadi Hermawan, Dicky Ibrahim, Maulana Ibrahim, Maulana Ii Sopiandi, Ii Imam Adi Kusumo Imanulyaqin, Taufik Indra Permana, Indra Iyan Sugianto, Iyan Jabbar, Fathir Abdul Khoerunissa, Salsa Lazuardi, Mochamad Farziki Lidya Tresna Wahyuni Lutfi Mubarak M. Firman Alfaridin Mahmud Yunus, Riza Muhaemin, Mumu Muhamad Firman Prayoga Muhammad Iqbal Muhammad Iqbal Rizmaya Muhammad Iqbal Rizmaya Muhammad Nur Zaeni Muhammad Yunus Neng Siska Intantria Nia Kurniati Nugraha, Dadan Ramdani Nugraha, Faisol Nurfajriah, Riska Nurhilda, Pebby Nurhimah, Enung Pafsi Paisal Permana, Iip Indra Prahara, Ervin Gusti Dwi Prasetyo, Aditya Purwanto, Muhamad Dendi Raihan Nurfarisi Rama Muhamad Azizi Resmanah, Dena Riepah, Ipah Rochmat, Saeful Rohendi, Muhamad Rohmat Rohmat Rohmat Rohmat Romadhoni, Dadan Roni, Cecep Salwa, Alya Jihan Sely Marisa Sirotujanah, Retno Sari Siti Masitoh Sofyan, Hadiyan Nur Sondara, Muhammad Raka Sri Andayani sri ayu andayani, sri ayu Sudarto Nugraha, Alid Sudjana, Muhammad Ridwan Shaleh Suhendi Mauldi Hidayat Sukmasari, Miftah Dieni Sunardi Susilo, Sigit Vebrianto Tantri Wahyuni Tika Sifana Tika Sifana Umyati, Sri Wahono, Syiffa Safiera Wahyuni, Kartika Sri Widyi Nadiah Febrianti Wiranagari, Relifa G Yoga Herawan Yoga Hermawan Zaliluddin, Dadan