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SISTEM INFORMASI AKADEMIK PADA SMP NEGERI 2 MARIKIT BERBASIS WEB MOBILE

JHODI PRATAMA SAPUTRA

2026•Skripsi, Thesis, Disertasi, dan Tugas Akhir

Jhodi Pratama Saputra, C1857201027, 2022. Academic Information System at SMP Negeri 2 Marikit Web-Based, Advisor I Bayu Pratama Nugroho, S. Kom., M.T. , Advisor II Cristia Putra, S. Kom., M.MSI. Academic information services at SMP Negeri 2 Marikit are currently still carried out conventionally and some have used a computerized system, for example in determining the lesson schedule, teachers still must hold meetings to determine other schedules. With academic services that are still carried out conventionally, the time required is ineffective and less efficient because they must set a schedule for when each teacher has time to attend meetings. This information system was created with the aim of academic services provided by SMP Negeri 2 Marikit to students to be faster and easier. The data collection techniques used in this study were observation, interviews, documentation, literature, and questionnaires. Using the PIECES analysis method, and the Unifield Modeling Language (UML) analysis tool, the interface design uses balsamiq mockup as well as program code processing applications using Visual Studio Code and using MySql as the processing system database. The result of this final project research is in the form of an Academic Information System at SMP Negeri 2 Marikit Based on a Website with the results of calculating the questionnaire using the Likert Scale Method, with questions asked to 20 respondents it can be concluded that the Academic Information System at SMP Negeri 2 Marikit Based website is feasible to use, because it produces an interpretation value of 90%

SystemInformationAcademicSchoolMarikitWebsite.

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Analisis Penerapan Metode Convex Hull Dan Convexity Defects Untuk Pengenalan Isyarat Tangan

Saputra, Artha Gilang Utami, Ema Fatta, Hanif Al

2018•Artikel Penelitian dan Pengabdian

Research of Human Computer Interaction (HCI) and Computer Vision (CV) is increasingly focused on advanced interface for interacting with humans and creating system models for various purposes. Especially for input device problem to interact with computer. Humans are accustomed to communicate with fellow human beings using voice communication and accompanied by body pose and hand gesture. The main purpose of this research is to applying the Convex Hull and Convexity Defects methods for Hand Gesture Recognition system. In this research, the Hand Gesture Recognition system designed with the OpenCV library and then receives input from the user's hand gesture using an integrated webcam on the computer and system generates a language output from the hand-recognizable gestures. Testing involves several variables which affect success in recognizing user's hand gestures, such as hand distance with webcam, corner of the finger, light conditions and background conditions. As a result, the user's hand gestures can be recognized with a stable and accurate when at a distance of 50cm-70cm, corner of the finger 25o–70o, light conditions 150lux-460lux and plain background conditions.

Computer VisionConvex HullConvexity DefectsHand Gesture RecognitionHuman Computer Interaction

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