https://journal.ukrim.ac.id/index.php/JIF/issue/feedInfact: International Journal of Computers 2026-09-01T11:17:04+07:00Sunneng Sandino Berutusandinoberutu@ukrimuniversity.ac.idOpen Journal Systems<p align="justify">The scope of <strong>Infact International Journal of Computers (IIJC)</strong>: Database Management, Computer Networks, Software Engineering, Graphics and Multimedia, Theory of Computation, Web Technology, Soft Computing, Web Data Management, Software Quality Testing, Artificial Intelligence, Robotics, Augmented and Virtual Reality, Mobile application development, Cloud and Big Data, Cyber Security, Data Mining, Information Retrieval, Multimedia Technology, Mobile Computing, Artificial Intelligence, Computer Vision, Image Processing, dan Internet of Things</p>https://journal.ukrim.ac.id/index.php/JIF/article/view/850WEB-BASED COFFEE SALES INFORMATION SYSTEM: (A Case Study Of Cerita Teras Coffee Shop)2026-07-10T15:13:19+07:00Martin Alberto Barros De Araujomartinbarros193@gmail.comHandokohandoko.kom@gmail.com<p>The rapid advancement of information technology has encouraged business owners to adopt digital systems to improve operational efficiency and service quality. Cerita Teras Coffee Shop still relied on a manual sales process, which often resulted in delayed transaction recording, difficulties in managing sales data, and less effective promotional activities. This study aims to design and implement a web-based coffee sales information system to improve transaction management and business operations. The research employed a developmental research method with a qualitative approach through observations and interviews to identify system requirements, followed by a quantitative approach to evaluate system performance. The research stages consisted of problem identification, data collection, requirement analysis, system design using the Waterfall method, system implementation, and testing through Black Box Testing and User Acceptance Testing (UAT). The developed system provides features for online ordering, product management, customer management, transaction processing, and automated sales reporting. The testing results indicate that all system functions operated successfully according to user requirements, while the User Acceptance Test achieved a satisfaction score of 90.91%, indicating that the system was highly accepted by users. Therefore, the proposed web-based sales information system effectively improves operational efficiency, facilitates transaction management, and enhances service quality at Cerita Teras Coffee Shop.</p>2026-08-30T00:00:00+07:00Copyright (c) 2026 Martin Alberto Barros De Araujo, Handoko (Author)https://journal.ukrim.ac.id/index.php/JIF/article/view/811Analysis of Business and IT Strategic Alignment Measurement Using the SAM Method2026-05-01T06:39:23+07:00maya sarimaya.sari@shantibhuana.ac.id<p>Strategic alignment between business and Information Technology (IT) remains a critical factor for organizational effectiveness and competitive advantage. However, measuring and achieving this alignment presents complex challenges for organizations across various sectors. Objective: This article analyzes the measurement of business and IT strategic alignment using the Strategic Alignment Model (SAM) and its maturity extension (SAMM). Methods: The study reviews and synthesizes empirical applications of SAM across healthcare, financial services, manufacturing, and other industries, examining both Henderson and Venkatraman's original model and Luftman's maturity assessment framework. indings reveal that organizations typically demonstrate alignment maturity levels ranging from 2 to 4 on Luftman's five-point scale, with communication, governance, and skills emerging as critical dimensions requiring attention. Organizations undergoing digital transformation often experience transitional disconnects between evolving expectations and underlying IT structures. The SAM framework effectively diagnoses alignment gaps but requires contextual adaptation and consideration of social dimensions including values, beliefs, and success criteria. Successful business-IT alignment measurement demands multi-dimensional assessment, continuous adaptation of alignment perspectives, and integration of both technical and social factors.</p>2026-08-30T00:00:00+07:00Copyright (c) 2026 maya sari (Author)https://journal.ukrim.ac.id/index.php/JIF/article/view/817Evaluation of Strategic and Information Technology Alignment Using the Strategic Alignment Model (SAM) at Institut Shanti Bhuana2026-04-15T20:13:19+07:00tessa Januartitessa6006@shantibhuana.ac.id<p>Alignment between organizational strategy and information technology (IT) is a key factor in improving institutional performance, especially in higher education institutions facing rapid digital transformation. This research aims to evaluate the alignment between institutional strategy and IT at Institut Shanti Bhuana using the Strategic Alignment Model (SAM), in order to identify gaps and provide recommendations for improving IT utilization and institutional effectiveness. This study uses a qualitative descriptive approach with data collected through interviews, observations, and document analysis. The evaluation focuses on four main domains in SAM: business strategy, IT strategy, organizational infrastructure and processes, and IT infrastructure and processes. The results show that Institut Shanti Bhuana has implemented various IT initiatives to support academic and administrative activities; however, gaps remain in strategic planning integration, communication between management and IT units, and optimization of IT resources. These gaps may reduce the effectiveness of IT in supporting institutional goals. The study concludes that improving strategic and IT alignment requires strengthening governance, enhancing communication, and developing integrated IT planning. The findings are expected to provide practical guidance for more effective IT implementation in higher education institutions</p> <p> </p>2026-08-30T00:00:00+07:00Copyright (c) 2026 tessa Januarti (Author)https://journal.ukrim.ac.id/index.php/JIF/article/view/844Determining Road Damage Coordinates Based on the YOLO Algorithm and Microcontroller2026-06-15T12:45:13+07:00Aminudin Hamkahamkaaminudin23@gmail.comMariana Syamsudinmarianasyamsudin@gmail.comMedi Yuwono Tharammytharam@yahoo.comHasanindra_elka@yahoo.ac.idYohannes C. H. Yuwonoyohannes.chy1@gmail.com<p>Road damage is a critical infrastructure issue affecting transportation safety and efficiency. This study proposes an image- and geolocation-based road damage detection system using an ESP32-S3 camera, GPS module, voltage sensor, and the YOLOv8 object detection algorithm. The camera captures road images at 480×640 pixels in JPEG format, while the GPS module records geographic coordinates and the voltage sensor monitors a 2S Li-Ion battery. Experimental results show reliable system operation. A reference battery voltage of 7.55 V was measured as 7.44 V, yielding a 1.46% error. The GPS module connected to 12 satellites with an HDOP of 0.65. YOLOv8 detected potholes with confidence scores ranging from 0.295 to 0.698, demonstrating the feasibility of integrating IoT sensing and deep learning for automated road damage monitoring.</p>2026-08-30T00:00:00+07:00Copyright (c) 2026 Aminudin Hamka, Mariana Syamsudin, Medi Yuwono Tharam, Hasan, Yohannes C. H. Yuwono (Author)https://journal.ukrim.ac.id/index.php/JIF/article/view/846Design and Implementation of a Microcontroller-Based Automatic Weighbridge Prototype for Vehicle Detection and Weight Measurement2026-06-15T12:45:52+07:00Joshuajoshuahahaha23@gmail.comRamlijoshuahahaha23@gmail.comRiandajoshuahahaha23@gmail.comHasanjoshuahahaha23@gmail.comSatriyojoshuahahaha23@gmail.com<p><em>Truck weighbridges play an important role in monitoring vehicle loads to ensure traffic safety and protect road infrastructure from damage caused by overloading. However, conventional systems still have limitations, such as dependence on operators, non-automated data recording, and relatively high implementation costs. This study aims to design and develop a microcontroller-based automatic weighbridge prototype for educational and simulation purposes.</em><em>The system uses an Arduino Mega 2560 as the main controller, a load cell with an HX711 module for weight measurement, an E18-D80NK proximity sensor for vehicle detection, and a TCS3200 color sensor for vehicle color identification. It also integrates a servo motor for the automatic barrier, a buzzer as an indicator, an LCD for information display, an RTC DS3231 module for time recording, and an SD Card module for offline CSV data storage.</em><em>Test results show the system operates automatically with measurement errors ranging from 0.25% to 1%, demonstrating good accuracy and effectiveness as a small-scale weighbridge prototype.</em></p>2026-08-30T00:00:00+07:00Copyright (c) 2026 Joshua, Ramli, Rianda, Hasan, Satriyo (Author)