All of the articles in this proceedings volume have been presented at the 1st International Conference of Technology, Innovation, Design and Enterprise (1st ICTIDE), held on November 10 and 14, 2025, at Universitas Prima Indonesia, Medan, Indonesia. These articles have been peer-reviewed by the members...

Rice distribution in Deli Serdang Regency faces challenges in selecting efficient routes to reduce costs, save time, and ensure timely delivery. This study compares the effectiveness of the Dijkstra algorithm in optimising distribution routes. Distance data between distribution points was obtained from...

The digital transformation of government goods and services procurement through electronic procurement (e-procurement) encourages greater transparency, efficiency, and accountability. however, the level of participation of local micro, small, and medium enterprises (MSMEs) remains varied, particularly...

The signage system in public spaces plays a crucial role in guiding visitors to their intended destinations, ensuring clarity, safety, and accessibility. In Indonesia, hospital signage design and implementation are regulated by the Ministry of Health and BPJS Kesehatan, which establish standardized guidelines...

This study demonstrates the potential of machine learning in predicting calorie imbalance by integrating physiological, behavioral, and dietary features into an interpretable analytical framework. Using Logistic Regression and Random Forest models, the results showed that both approaches achieved high...

This paper explores the complex dynamics of spatial planning implementation in Indonesia, focusing on the political, social, and institutional challenges that influence urban development. Using the case of Medan as an illustrative example, the study identifies how governance fragmentation, overlapping...

Throughout the evolution of computer science, algorithm design has relied on strategic paradigms to achieve computational efficiency. Among these paradigms, the Divide and Conquer strategy remains one of the most enduring and powerful approaches. Its core principle, by dividing a complex problem into...

The research was carried out at CV. ABC, a furniture manufacturing company that produces various types of furniture such as window frames, bed frames, chairs, and others. The common problem found in the company is the inability to meet production targets within the predetermined time frame. These problems...

Maintenance management in the transportation sector is crucial for ensuring operational continuity and minimizing safety risks. This study transitions the maintenance program for bus engine components at PT. Bukit Barisan Transport from a reactive schedule to an optimized proactive strategy. Utilizing...

Occupational safety in small and medium-sized enterprises is often undermined by the absence of systematic hazard assessments. This study explores the integration of HAZOP and FMEA to improve risk identification and prioritization in a metalworking SME. A case study was conducted at UD Jaya Mandiri Lestari,...

The increasing prevalence of arrhythmia is a growing concern in heart rhythm disorders, posing a significant risk if not detected in time. The application of the K-Nearest Neighbor (KNN) algorithm enhances the classification of heart rhythms, enabling early arrhythmia detection in a more personalized...

This research aims to improve the accuracy of the Support Vector Machine (SVM) algorithm in classifying primary tumor data through feature selection. Primary tumors, which can be benign or malignant, require accurate diagnosis for effective medical treatment. By utilizing primary tumor datasets from...

This paper examines factors related to the use of the Indonesian Standard Quick Response Code (QRIS) among Generation Z and builds a probabilistic classification model to distinguish between active and passive users. A total of 152 valid responses were collected from students through an online questionnaire...

The renewable energy has received quite serious attention worldwide, this is because conventional energy sources are limited. Solar energy is a form of renewable energy that can be converted into electrical energy using photovoltaic modules. The performance of photovoltaic modules is very determining...

This study evaluates the engineering and economic viability of implementing a rainwater harvesting system at Dr. Pirngadi Hospital in Medan, Indonesia. The assessment was conducted to quantify and evaluate how rainwater harvesting can contribute to reducing freshwater consumption and overall water demand...

The phenomenon of visual waste in Medan’s public spaces has increased significantly along with rapid urban and economic growth. The proliferation of billboards, banners, irregular murals, and excessive graphic elements creates visual clutter that reduces comfort and urban aesthetic identity. This study...

This research examines the classification of lung diseases using the Recurrent Neural Network algorithm, based on medical images, specifically X-ray images. The method aims to improve the accuracy of lung disease diagnosis by leveraging the capabilities of Recurrent Neural Networks in recognizing complex...

Earthworm (Lumbricus sp.) is a biomass of soil organisms that has important agroecological functions because it can affect the dynamics of organic matter and soil structure. This study aims to de- termine differences in earthworm biomass and analyze the levels of nu- trients nitrogen (N), phosphorus...

Oil palm sap is a potential alternative raw material for producing palm sugar because it contains high levels of sugars, namely approximately 86% glucose and 15–17% sucrose. This study aims to determine the sugar content and physicochemical properties of palm sugar derived from oil palm sap, to analyze...

Coffee processing generates substantial volumes of organic waste (spent coffee grounds, pulp, husk, and silverskin) that present both environmental challenges and opportunities for agricultural valorization. This short communication synthesizes current research on converting coffee waste into liquid...

This study aimed to analyze the effect of Oryctes rhinoceros infestation levels on pest population, the number of damaged fronds, and fresh fruit bunch (FFB) production in oil palm (Elaeis guineensis Jacq.) across three locations with different infestation categories: low, medium, and high. The experiment...

The main problem faced by Plasa Telkom Binjai is the man- ual data collection process for Orbit modem sales using Microsoft Excel, which is inefficient, error-prone, and makes reporting difficult. To address this issue, this study designed and implemented a web-based sales data collection information...

Cardiovascular diseases remain the primary cause of mortality worldwide. Limited access to early detection technology and the shortage of medical experts make diagnosis and treatment both costly and less effective. The absence of accurate diagnostic methods often leads to late detection of abnormal heart...

Cardiovascular diseases remain one of the primary contributors to global mortality rates. Insufficient early diagnostic tools and the limited availability of cardiology experts pose challenges to accurate arrhythmia identification, which may elevate the likelihood of severe complications and fatal outcomes....