Jurnal Sintaks Logika

Sistem Pakar Berbasis Backward Chaining untuk Meningkatkan Ketahanan Tanaman Jagung

Silviani Esther Rumagit — 2025-05-03

Corn is one of the leading food commodities in Indonesia, and it has a vital role in national food security. However, corn productivity often decreases due to the attacks of various types of plant diseases. Limited knowledge of farmers about the symptoms and types of corn diseases is one of the obstacles to proper and fast handling. Therefore, this study aims to build an expert system that can assist farmers in diagnosing corn diseases based on the symptoms shown. This system uses the Backward Chaining method, which tracks logic from conclusions (disease hypotheses) to the facts (symptoms) that support it. The tracing process is carried out until the appropriate facts are found to decide on the diagnosis of the disease. The system design is carried out using the prototype system development method. The testing is carried out by the Black Box Testing method to ensure that all system functions run as expected. The test results show that this expert system can provide accurate diagnoses, assist users in recognizing the type of corn disease, and provide treatment advice. Hopefully, this system can increase the effectiveness of handling corn diseases and support crop productivity.

Perancangan Game Edukasi Pengenalan Bagian Tubuh Manusia Dengan Bahasa Hubula-Indonesia

Hence Beedwel Lumentut — 2025-05-03

Along with the development of information technology, various areas of life have undergone significant transformations, including in the education sector. The information technology use in the teaching and learning process has been proven to improve the quality of learning, especially in early childhood education. This research aims to develop a Rapid Application Development (RAD) educational game that introduces human body parts using Hubula and Indonesian, the local language used by the Wamena people. The prototype development method was used to create an early model of the game as an alternative interactive media that was more interesting than conventional book-based learning methods. This game is expected to increase students' interest and understanding of the anatomy of the human body in a more effective and fun way. In addition, using regional languages in learning media is also an effort to preserve local culture. With an interactive and innovative approach, this game prototype serves as a learning tool to introduce regional cultural values to the younger generation. The results of this development show the great potential of integrating technology and culture in improving the quality of education.

Implementasi Implementasi Hand Gesture Recognition Berbasis Computer Vision untuk Kontrol Permainan Subway Surfers

Ahmad Rifa'i — 2025-05-16

The advancement of computer vision has created new possibilities for human-computer interaction, especially in digital games. This study develops a hand gesture-based control system for Subway Surfers using computer vision. The system enables players to control the game character through hand gestures captured by a camera, eliminating the need for conventional input devices like keyboards or touchscreens. The methodology involves capturing gesture data, processing images to extract gesture features, implementing a recognition model using MediaPipe Hands and Convolutional Neural Network (CNN), and integrating the system with the game via input control emulation. Testing evaluates gesture recognition accuracy, system responsiveness, and user experience. Results show the system achieves an average accuracy of 85% under stable lighting and a response time of 100–150 ms, which is acceptable for real-time gameplay. These findings indicate that hand gesture-based controls using computer vision are feasible and effective for controlling Subway Surfers. This research contributes to the development of more immersive human-computer interaction, particularly in gaming and interactive applications.

Pemanfaatan AI Dalam Dunia Game

Ahmad Padla Kamal — 2025-05-21

The utilization of artificial intelligence (AI) in the gaming industry has significantly advanced, impacting gameplay experience, game development, and player interaction. This study analyzes AI applications in various aspects of the industry, including the development of non-player characters (NPCs), enhancement of gameplay realism, and optimization of game design, using literature review and analysis of modern implementations. The findings reveal that AI enhances NPC intelligence, enables more adaptive and challenging gameplay, and supports developers in procedural design and testing. Moreover, AI processes player data to deliver personalized and dynamic experiences. In conclusion, AI fosters innovation and efficiency in game development, though challenges such as balancing AI with player engagement and addressing ethical concerns in data usage must be considered for sustainable and responsible growth.

Perkembangan Kecerdasan Buatan Dalam Industri Video Game

Muhammad Gausan Izza — 2025-05-23

Abstract

Artificial Intelligence (AI) has played an increasingly significant role in the video game industry, providing more dynamic and realistic gaming experiences. This research discussed the development of AI in video games, spanning from basic techniques to advanced algorithms. Over the past decades, AI has evolved from simple scripts into systems capable of learning and adapting through machine learning and neural network-based approaches. The application of AI in video games has included enhancing the behavior of non-playable characters (NPCs), optimizing game mechanics, and personalizing user experiences. Furthermore, AI has been utilized in procedural content generation (PCG) to automatically create expansive and diverse game worlds. This article also explored the challenges and future prospects of AI within the gaming industry, encompassing the ethics of AI implementation and its influence on game design. It was concluded that advancements in AI technology are expected to continue to elevate the interactivity and complexity of games, thereby creating more immersive experiences for players.

Panduan Penggunaan Pupuk Organik Berbasis Android

Marlina — 2025-06-17

The lack of understanding of the farming community in making quality and affordable organic fertilizer is a problem among the community. The aim of the research is to create an application to provide the public with an understanding of the procedures for making and using organic fertilizer. The research method used was experimental, conducted through a literature study. Located on Lia'e Jl. Lappa Anging in Parepare City, research time was three months. A tool that helps in analyzing and designing applications using the Kotlin programming language with Android Studio tools. The resulting application, called Agrismart App, has several menus that show two main menus, namely: a catalog menu containing text on tips for making organic fertilizer, tools and materials, and the use of organic fertilizer; and a video menu containing procedures for making eleven types of organic fertilizer.

Implementasi Deep Learning untuk Sistem Absensi dengan Integrasi Data Identitas Menggunakan MTCNN, FaceNet, dan SVC

Fharicsyah Fharicsyah — 2025-07-02

Sistem kehadiran memegang peran penting dalam mengelola kehadiran individu di lembaga pendidikan dan organisasi. Namun, metode konvensional sering kali rentan terhadap manipulasi dan kurang efektif dalam menyelaraskan data identitas pengguna secara akurat. Penelitian ini mengembangkan sistem kehadiran otomatis berbasis teknologi pengenalan wajah menggunakan deep learning yang terintegrasi dengan informasi identitas pengguna. Sistem ini menggabungkan tiga algoritma utama: MTCNN (Multi-task Cascaded Convolutional Networks) untuk mendeteksi dan menyesuaikan posisi wajah, FaceNet untuk mengonversi fitur wajah menjadi representasi vektor numerik, dan Support Vector Classifier (SVC) untuk klasifikasi dan verifikasi identitas. Pendekatan prototipe digunakan dalam desain sistem untuk memastikan fleksibilitas dan kesesuaian dengan kebutuhan pengguna. Evaluasi menunjukkan bahwa sistem memiliki tingkat akurasi tinggi dalam mendeteksi dan memverifikasi identitas, bahkan dalam kondisi lingkungan bervariasi. Implementasi sistem ini diharapkan dapat meningkatkan efisiensi proses kehadiran, meminimalkan potensi penipuan, serta mendukung integrasi data identitas yang lebih aman dan akurat.