ABSTRACT Accurate and efficient identification of diseases in oil palm leaves is a crucial challenge in maintaining plantation productivity and preventing significant crop losses. Limited access to experts and slow detection in the field are often obstacles. This study aims to develop a palm oil leaf disease classification model using a deep learning approach based on Convolutional Neural Netw…
ABSTRACT The research titled “Implementation of IoT to Measure Network Quality Using the Water Quality Index Standard with the MQTT Protocol at Faperika Reservoir, UNRI” aims to evaluate data transmission quality in an IoT-based water quality monitoring system. The background of this study stems from the absence of an automatic method to collect data on the water quality of the Faperika Re…
ABSTRACT The face recognition attendance system at PT. Sumber Sawindo Kencana faces significant challenges regarding connection stability due to its operational location in a plantation area with limited infrastructure, resulting in high jitter reaching 125 ms, packet loss up to 31%, and buffering issues. This research aims to optimize network performance by implementing the Point to Point Tun…
ABSTRACT Indonesia is one of the countries with a relatively high level of meat consumption, as protein and nutrients are essential for society. However, problems such as the insufficient supply of beef compared to market demand and the increasing number of cases involving the adulteration of beef with pork have become major concerns. This issue not only causes economic losses for consumers bu…
Abcstract Many pharmacies still use manual recording, potentially leading to operational inefficiencies and errors. This study aims to develop a web-based drug transaction system with a cross-selling recommendation module using the FP-Growth algorithm. The system was implemented at Apotek Sehat and Apotek Rizki Pratama in Dumai. Methods included observation, interviews, and transaction data an…
ABSTRACK Inclusive education, particularly in the learning of Hijaiyah letters (Arabic alphabet), remains a significant challenge for deaf students. Conventional media often fails to bridge this communication barrier, a problem exacerbated by the difficulty of distinguishing between several very similar hand gestures, a real issue observed at SLB Panam Mulia Pekanbaru. To address this gap …
ABSTRACT The gaming industry has grown rapidly, and one of the key elements in a game is the non-playable character (NPC). Easily predictable NPC behavior often reduces player engagement and satisfaction. Static or unresponsive NPCs tend to create monotonous and less challenging gameplay experiences, ultimately lowering game quality and player interest. This study applies Deep Reinforcement Le…
ABSTRACT This study aims to design and develop a store security system based on the Internet of Things (IoT) to enhance monitoring effectiveness and real-time store security. The system utilizes an ESP32-CAM as the main controller, integrated with a PIR sensor, two servo motors, and a Telegram Bot as a notification medium. It is designed to detect motion, capture images, and display livest…
ABSTRACT The development of digital technology has had a significant impact on the photography service industry, particularly in terms of service efficiency and customer accessibility. In Pekanbaru, most photo studios still rely on manual booking systems through social media, which often cause problems in data management, scheduling, and marketing effectiveness. This study aims to design and d…
ABSTRACT Guava is one of the horticultural commodities with high economic value. However, its productivity may decline due to disease attacks that are difficult to detect during the early growth stage. This study applies a deep learning method with a transfer learning approach using the MobileNetV2 architecture to classify guava fruit conditions into two categories: healthy and diseased. The d…
ABSTRACT Egg quality is a crucial aspect in the food industry, particularly to ensure the safety and quality of products distributed to consumers. Manual egg quality classification often faces challenges such as subjective assessment, time constraints, and inconsistency risks. External factors such as shell color and texture are key indicators in evaluating egg quality. This study develops an …
ABSTRACT The management of accreditation supporting documents in the Informatics Engineering Study Program at the University of Riau still relies on Google Drive. This approach presents several issues, including ineffective document search due to the lack of multi-word query support, the absence of progress monitoring for required documents, and the repeated uploading of identical documents ac…
ABSTRACT Province of Riau, known for its abundant natural resources, boasts a diverse range of sectors, including oil and gas. However, its development faces numerous challenges. One vital aspect is effective and efficient logistics management, particularly in resource management, such as heavy equipment transportation for raw materials and products. Therefore, the system must be modified with…
ABSTRACT The use of information technology in education plays an important role in improving the effectiveness and efficiency of administrative processes, including teacher attendance systems. SD Swasta Global Andalan still uses a manual attendance system with conventional attendance sheets, which causes various issues such as data manipulation risks, document loss, and difficulties for teache…
ABSTRACT Javanese are one of the largest ethnic groups in Indonesia, accounting for 41% of the total population. They are known for their highly varied culture, encompassing everything from food and music to everyday life, including family Relationships. The Javanese also have unique rules for determining family Relationships. However, over time, these cultural values have been abandoned from …
ABSTRACT Network quality is a crucial factor in supporting the performance of face recognition–based attendance systems, which require real-time data transmission. Rumah Makan Taragung Pekanbaru has implemented this system; however, no prior analysis has been conducted regarding the quality of the network based on the placement of Access Points (AP). This study aims to analyze the Qualit…
ABSTRACT Oil palm (Elaeis guineensis Jacq.) is one of Indonesia’s leading commodities that plays an important role in the national economy. However, irrigation and fertilization activities that are carried out manually often do not meet the actual needs of the plants. This study developed an Internet of Things (IoT)-based monitoring system for oil palm irrigation and fertilization using an E…
ABSTRACT The fluctuating rainfall pattern in Pekanbaru poses a challenge in determining the optimal planting time for red chili cultivation. Reliance on traditional planting calendars often increases the risk of crop failure since it does not account for climate variability. This study develops a daily rainfall prediction model using the CNN–BiLSTM architecture with BMKG weather data from Ja…
ABSTRACT Tracer studies at the program level often suffer from manual collection, delayed updates, and limited, non-standardized reporting hindering accreditation and curriculum review. This study designs and develops a program-level, web-based tracer study system for the Informatics Engineering Program at Universitas Riau using Laravel 11 and MySQL, with DataTables for interactive data views …
ABSTRACT Javanese culture has a complex family genealogy system, covering up to 18 levels of ancestors and descendants, as well as various horizontal terms such as siblings, uncles, and cousins. This complexity often makes it difficult for younger generations to understand their kinship relationships. This study implements a Depth First Search (DFS) algorithm combined with a Rules Engine to au…