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All Journal JURNAL SISTEM INFORMASI Jurnal Informatika dan Teknik Elektro Terapan Infotech Journal Proceeding SENDI_U JOIN (Jurnal Online Informatika) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research Jurnal Penelitian Pendidikan IPA (JPPIPA) SMARTICS Journal Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal SOLMA JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Informatika Universitas Pamulang JITTER (Jurnal Ilmiah Teknologi Informasi Terapan) PROCEEDING STIMA MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Nasional Komputasi dan Teknologi Informasi IJISTECH (International Journal Of Information System & Technology) Jurnal Mantik BERNAS: Jurnal Pengabdian Kepada Masyarakat Tematik : Jurnal Teknologi Informasi Komunikasi IJISTECH Seminar Nasional Hasil Riset dan Pengabdian (SNHRP) Journal of Artificial Intelligence and Engineering Applications (JAIEA) Industrial Research Workshop and National Seminar DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY J-ENSITEC (Journal of Engineering and Sustainable Technology) West Science Interdisciplinary Studies Jurnal Sistem Informasi West Science Interdisciplinary Studies Jurnal Informatika: Jurnal Pengembangan IT Science Information System and Technology SEMINAR TEKNOLOGI MAJALENGKA (STIMA) International Journal of Applied Information Systems and Informatics
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Advancing Animal Health: A Web-Based Expert System Utilizing Forward Chaining for Disease Diagnosis Sarmidi, Sarmidi; Bastian, Ade; Taufiq, Muhammad; Rusyn, Volodymyr; Arshad, Adnan; Siti Sundari, Ristina
West Science Information System and Technology Vol. 2 No. 02 (2024): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v2i02.1207

Abstract

The increasing prevalence of animal diseases, along with the increasing need for animal products, highlights the urgent need for efficient diagnostic tools in veterinary medicine. The aim of this research is to create an expert system that uses a forward chaining algorithm to diagnose animal diseases. The forward chaining algorithm is a deductive reasoning approach that starts with existing facts and uses expert tree rules for hypotheses. This process continues until the desired goal is achieved or no additional conclusions can be drawn. Even though there are developments in expert systems, there are still shortcomings in implementing the forward chain for rapid and precise diagnosis of livestock diseases. This work aims to fill this gap by developing an expert system that improves the accuracy and efficiency of disease diagnosis in the livestock industry. A database of animal diseases and symptoms was created by observing and interacting directly with farmers. The system architecture is specifically intended to optimize data processing and user engagement, enabling rapid diagnosis and treatment recommendations. This test shows a level of accuracy and precision, thereby reducing the possibility of misdiagnosis. The capacity of expert systems to provide fast and reliable diagnoses has the potential to improve livestock health management, thereby helping farmers maintain animal welfare and productivity. The results of this work advance the field of veterinary diagnostics and propose other uses of expert systems in animal health management.
PENGEMBANGAN APLIKASI MEDIA PEMILIHAN DESAIN BATIK MAJALENGKA MENGGUNAKAN TEKNOLOGI AUGMENTED REALITY BERBASIS ANDROID ZAPAR SIDIK, SIDIK; BASTIAN, ADE
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 development of information technology is so rapid, allowing the implementation of more efficient ways for the production, distribution, and consumption of goods and services. With the advancement of technology and information, it also makes humans in dealing with other parties as if they are no longer limited by time and place, one of them is mobile marketing based on augmented reality that has high potential to attract users' interests, because it allows users to interact in all contexts of daily life. With that, android based augmented reality application will be made with the MDLC and marker based tracking method. .
RANCANG BANGUN GAME SIMULASI PEMBUATAN KECAP TRADISIONAL MAJALENGKA MENGGUNAKAN METODE MDLC BERBASIS ANDROID Purnama, Crisda; Ade Bastian
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

Majalengka is one of the regencies located in West Java Province with various cultures and culinary. The use of traditional soy sauce is less attractive than the use of modern soy sauce, thus the authors designed a simulation game for making traditional soy sauce Majalengka using the Multimedia Development Life Cycle (MDLC) method. Games are currently in great demand by various groups, especially children, which are used as educational tools to improve children's abilities, for example in the culinary field, which aims to create a conservation medium in the form of android-based educational games. With the existence of the traditional Majalengka soy sauce simulation game, it can make it easier for the introduction of making traditional soy sauce, this traditional soy sauce making simulation game is expected to be able to introduce the traditional Majalengka soy sauce to the community, especially in the Majalengka area.
RANCANG BANGUN MODEL PENGENALAN EMOSI SUARA UNTUK PROMOSI PARIWISATA DI MAJALENGKA Rifki, Muhammad; Bastian , Ade; 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

Emotion plays a crucial role in human communication, and recognizing emotions from speech (Speech Emotion Recognition or SER) has broad applications in various fields. This study designs and implements a speech emotion recognition application to support tourism promotion events in Majalengka. A 1D Convolutional Neural Network (CNN) model is developed using public SER datasets (RAVDESS, CREMA-D, SAVEE, TESS) combined and augmented to improve cultural generalization. Key audio features, such as Mel Frequency Cepstral Coefficients (MFCC), are extracted for effective emotion classification. The resulting system achieves an accuracy of 74.4% on test data, successfully recognizing emotions like angry, sad, neutral, and happy with good precision. This automated emotion analysis assists judges in evaluating participants’ speeches objectively and efficiently. The integration of SER technology in tourism events demonstrates an innovative strategy to enhance the promotion of local culture and improve the overall visitor experience in Majalengka.
SIMULASI PERANCANGAN ANIMASI 2D ALUR PEMBUATAN GULA CAKAR TRADISIONAL KHAS MAJALENGKA MENGGUNAKAN METODE MDLC Aripin, Ali Maulana Hapid; Bastian, Ade
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 9 (2025): Seminar Teknologi Majalengka (STIMA) 9.0 Tahun 2025
Publisher : Universitas Majalengka

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Abstract

Majalengka has a unique culinary heritage in the form of gula cakar, but the process of making it is rarely documented, so it could be forgotten as time goes by. This study aims to design a 2D animation that simulates the traditional process of making gula cakar as an educational and cultural preservation tool. The method used is the Multimedia Development Life Cycle (MDLC), which includes the stages of concept, design, material collection, assembly, and distribution. Data was collected through direct observation, interviews with artisans, and literature reviews, which were then translated into storyboards, character designs, and frame-by-frame animations using Blender and CapCut software. The research outcome is a 2D animated video systematically showcasing the steps of gula cakar production, from ingredient preparation, processing, to product cutting. The animation was distributed through digital platforms such as YouTube and social media to ensure widespread access. The findings indicate that a digital approach can enhance visual appeal while documenting local knowledge. Compared to conventional methods such as oral storytelling, animated media has proven more effective in conveying information, increasing appreciation, and expanding the reach of promoting Majalengka's traditional culinary culture.
PERANCANGAN WEBSITE PROFIL TOKO DAN KATALOG PRODUK DI ALFANET COMPUTER Rahayu, Syifaa Puspita; Bastian , Ade
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 9 (2025): Seminar Teknologi Majalengka (STIMA) 9.0 Tahun 2025
Publisher : Universitas Majalengka

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Abstract

This practical work report discusses the design and implementation of a company profile website and product catalog for Alfanet Computer. The main objective of this project is to create an online platform that provides complete and structured information about the store, product specifications, availability, and prices. The research was conducted using the Waterfall development method, starting from requirements analysis, system design with UML, implementation using HTML, CSS, JavaScript, and PHP, to testing through the black-box method. The website enables store owners to manage product data efficiently and allows customers to access product information anytime and anywhere without visiting the store. The results of this project show that the developed website successfully displays store profiles and product catalogs in a more systematic and user-friendly manner. This system is expected to help Alfanet Computer improve service quality and support business development by expanding access to information through digital media.
Pengenalan Kearifan Lokal di Majalengka dengan Media Video Game Menggunakan Unity Engine Nugraha, Algi; Bastian, Ade
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 9 (2025): Seminar Teknologi Majalengka (STIMA) 9.0 Tahun 2025
Publisher : Universitas Majalengka

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Abstract

Indonesia is rich in cultural heritage, yet modernization has caused younger generations to show greater interest in foreign cultures rather than local traditions. This issue highlights the need for innovative approaches to preserve and promote local wisdom. This study aims to introduce Majalengka’s local culture through the development of an interactive video game “PENA: Desa Terlarang.” The research employed the Game Development Life Cycle (GDLC) method, consisting of initiation, pre-production, production, testing, beta, and release stages. Data were collected through field research at the Majalengka Creative Center (MCC) and literature studies to integrate cultural values into the game’s narrative and design. The resulting game adopts an adventure-horror genre with puzzle elements, allowing players to explore traditional stories, interact with cultural artifacts, and solve challenges inspired by local myths. Technical implementation was carried out using Unity Engine and Blender for modeling, supported by design patterns such as Finite State Machine, Observer, and Singleton to manage game logic and events. The findings show that the game not only provides entertainment but also effectively educates players about local culture while enhancing reasoning skills through gameplay. This research demonstrates that video games can serve as a creative and engaging medium for cultural preservation.
PERANCANGAN WEBSITE INFORMASI PENYEWAAN ALAT OUTDOOR HIKING (STUDI KASUS CERITA OUTDOOR MAJALENGKA) Cesoria, Yola Zerlinda; Bastian, Ade
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 9 (2025): Seminar Teknologi Majalengka (STIMA) 9.0 Tahun 2025
Publisher : Universitas Majalengka

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Abstract

This research aims to develop a Web-based Information System for Outdoor Hiking Equipment Rental at Cerita Outdoor Majalengka. The study addresses challenges in manual processes, including stock management errors, inefficient data recording, and reliance on WhatsApp communication. Using the Laravel framework and the Waterfall method, the system was designed to optimize stock and transaction management while improving customer convenience. The website allows users to register, log in, browse products with details, and place rental orders by selecting dates and durations. Payments are supported via bank transfer and confirmed by the admin. Meanwhile, admins can manage stock, monitor transactions, and access real-time records more efficiently. The system also supports structured transaction documentation, reducing errors and saving time. Test results show that the system successfully simplifies operations, enhances data accuracy, and increases customer satisfaction by providing a faster and more reliable rental service.
ANALISIS KOMPARATIF YOLOV8: AUGMENTASI VS. DATA SINTETIS UNTUK DETEKSI RITEL TERBATAS Fernanda, Billy Adrian; Bastian , Ade
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 9 (2025): Seminar Teknologi Majalengka (STIMA) 9.0 Tahun 2025
Publisher : Universitas Majalengka

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Abstract

Object detection models are pivotal for retail automation but require vast annotated datasets, which are costly and time-consuming to acquire. This creates a significant challenge in few-shot learning scenarios where data is scarce, leading to models with poor generalization. This study investigates strategies to overcome data limitations by training a YOLOv8 object detection model on a custom dataset of 152 retail product images across 28 classes. We conduct a comparative analysis of three training protocols: (1) a baseline model trained on the original data, (2) a model enhanced with advanced data augmentation techniques, and (3) a model supplemented with synthetically generated data. Performance is evaluated using mean Average Precision (mAP@50−95), Precision, and Recall. The synthetic data approach significantly outperformed the other methods, achieving the highest mAP@50−95 of 0.699 and the highest Recall of 0.856. While the data augmentation model yielded the highest Precision (0.875), its lower Recall (0.714) resulted in a suboptimal mAP. Furthermore, training with synthetic data demonstrated markedly faster and more stable convergence. Our findings indicate that for few-shot object detection in specialized domains like retail, supplementing training with synthetic data is a more effective strategy than relying solely on traditional augmentation.
PENGEMBANGAN GAME EDUKASI INTERAKTIF UNTUK PEMBELAJARAN TAJWID DAN HAFALAN JUZ’AMMA Putra, Agam Maulana; Bastian, Ade
SEMINAR TEKNOLOGI MAJALENGKA (STIMA) Vol 9 (2025): Seminar Teknologi Majalengka (STIMA) 9.0 Tahun 2025
Publisher : Universitas Majalengka

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Abstract

This study presents the development of an interactive educational game designed to support learning of tajwid and memorization of Juz ’Amma. The game was developed using the Game Development Life Cycle (GDLC) method and implemented with Unity, featuring modules for tajwid theory, examples with audio, and recitation of Juz ’Amma, as well as interactive quizzes. Usability testing was conducted with students at MTs Assalam Cokroaminoto Maja to evaluate ease of use, efficiency, memorability, error rate, and user satisfaction. Results indicate that the game effectively enhances motivation, improves comprehension of tajwid rules, and supports memorization of Juz ’Amma in an engaging and enjoyable way. With positive feedback from users and minimal error rates, this interactive learning media demonstrates its potential as an innovative tool for Islamic education, providing a more dynamic alternative to conventional learning methods. The integration of technology in this context also aligns with the learning needs of the digital generation, making Qur’an education more accessible and relevant.
Co-Authors Abrar Wahid Abu Bakar, Abib Maftuh ade rahmawati Adnan Arshad Ai Komariah Alam, Muhammad Quthbul Aldri Frinaldi Ani Sanirah Ano Tarsono Ardi Mardiana Ardi Mardiana Arif Yusuf Budiman Aripin, Ali Maulana Hapid Arshad, Adnan Asep Rachmat Asyhari, Muhammad Fiddiana Azkiya, Muhammad Azkal Badhel, Yasser Gibran Berliani, Mega Billy Adrian Fernanda Budiman Budiman Cesoria, Yola Zerlinda Dadan Romadhoni Dadan Zaliluddin Dadan Zaliluddin Destiani, Putri Dety Sukmawati Devi Sukrisna Diana Surya Heriyana Didin Rudini Dimas, Fadli Dinda Sri Wulansari Dipa Subandi Dony Susandi Eka Tresna Irawan Eka Tresna Irawan Engkos Koswara Erdiyanti, Yucky Putri Fahmi Aziz, Muhamamad Fernanda, Billy Adrian Firmansyah, Mochammad Bagasnanda Fitriani, Nadila Fitriyani, Rofi Gunardo, Sahal Ubaidillah Hafsari, Zacky Haq, Rosdiana Harti, Adi Oksifa Rahma Harun Sujadi Hermawan, Dicky Ida Marina Ii Sopiandi, Ii Ilma Ala Ulumillah Imas Naimah Hasnah Indra Permana, Indra Indradewa, Rhian Jabbar, Fathir Abdul Jujun Badrujaman Khoerunissa, Salsa Kovertina Rakhmi Indriana Kusumadewi, Intan Latiful Abror Lia Milana Lidya Tresna Wahyuni Mega Berliani Miftahuddin Al-Aziz Mochammad Bagasnanda Firmansyah Mochammad Bagasnanda Firmansyah Muhamamad Rifki Muhammad Fahmi Ajiz Muhammad Iqbal Rizmaya Muhammad Iqbal Rizmaya Muhammad Rifki Muhammad Rifki Muhammad Syifa Al Maroghi Muhammad Taufiq Muhammad Taufiq Mukhlis Nadya Pratiwi Aisha Bakhtiar Nana Sutrisna Nana Sutrisna Nia Kurniati Nisa Brian Sulaeman Nugraha, Algi Nugraha, Faisol Nugraha, Rezha Nunu Nurdiana, Nunu Nurfajriah, Riska Nurhilda, Pebby Nurhimah, Enung Pangarsi Dyah Kusuma Wardani, Siti Pangestu, Arki Aji Pauzan, Muh Permana, Iip Indra Prahara, Ervin Gusti Dwi Priyadi, Deni Purnama, Crisda Putra, Agam Maulana Rachmat, Asep Rahayu, Syifaa Puspita Riepah, Ipah Rifki, Muhamamad Riki Riyanto Riri Nurazizah Ristina Siti Sundari Rivki Anja Afrenda Rohmanudin, Wildan Rusmanto, Ayu Hafidzah Rusyn, Volodymyr Safari Yonasi Sahal Ubaidillah Gunardo Salwa, Alya Jihan Sandi Fajar Rodiansyah Sarmidi Sarmidi Sarmidi Sarmidi Satria Winata Sidik Zapar Sidik Sri Mentari Widya Ningrum Permana Sri Rahayu Sudjana, Muhammad Ridwan Shaleh Syifaa Puspita Rahayu Tantri Wahyuni Tika Sifana Tri Ferga Prasetyo Tsaqib Ilham Nur Ulumillah, Ilma Ala Usup Suparma Vini Arifiani Rohmat Volodymyr Rusyn Wahid, Abrar Wahyuni, Kartika Sri Wahyuni, Lidya Tresna Whydiantoro Whydiantoro Whydiantoro Wildan Rohmanudin Wildan Zhilal Manafi Wiranagari, Relifa G Yofi Awwaluddin Yunus, Riza M ZAPAR SIDIK, SIDIK