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All Journal Jurnal Teknologi JUITA : Jurnal Informatika Jurnal Inti Talafa : Jurnal Teknik Informatika REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Journal Of Engineering Sciences (Improsci) Baktimu : Jurnal Pengabdian Kepada Masyarakat Baktimu : Jurnal Pengabdian Kepada Masyarakat Jurnal Teknologi Informasi
Martinus, Agust Isa
Universitas Muhammadiyah Cirebon
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Other

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RANCANG BANGUN SISTEM PALANG PINTU OTOMATIS BERBASIS RFID DAN SENSOR SLOT PARKIR DENGAN MONITORING MENGGUNAKAN ESP-32 Priadi, Gempar; Martinus, Agust Isa; Novianti, Dian
INTI TALAFA Vol. 18 No. 1 (2026): Vol 18 No 1 Tahun 2026
Publisher : Program Studi Teknik Informatika Universitas Muhammadiyah Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32534/int.v18i1.8454

Abstract

Peningkatan jumlah kendaraan di lingkungan kampus sering menimbulkan masalah keterbatasan lahan parkir dan antrean panjang di gerbang masuk. Sistem parkir konvensional yang bersifat manual tidak menyediakan informasi ketersediaan slot secara real-time dan tidak terdokumentasi dengan baik, sehingga mengurangi efisiensi dan kenyamanan pengguna. Penelitian ini mengembangkan prototype sistem palang pintu otomatis berbasis Internet of Things (IoT) menggunakan mikrokontroler ESP-32 yang terintegrasi dengan RFID RC-522 untuk autentikasi pengguna, sensor IR obstacle untuk deteksi slot parkir, sensor ultrasonik untuk area gerbang, LCD 1602 I2C untuk tampilan, dan motor servo SG90 sebagai aktuator palang. Metode yang digunakan adalah Research and Development (R&D) dengan model prototyping, meliputi analisis kebutuhan, perancangan sistem, implementasi perangkat keras dan perangkat lunak, serta pengujian. Hasil pengujian menunjukkan sistem mampu memvalidasi kartu terdaftar, menolak kartu tidak terdaftar, membedakan akses masuk dan keluar, mendeteksi status slot parkir dengan akurat, mengendalikan palang secara tepat, dan mengirim data ke web secara real-time. Analisis hasil membuktikan sistem berjalan sesuai rancangan dan efektif meningkatkan efisiensi serta keteraturan parkir di lingkungan kampus.
Course Scheduling Using Genetic Algorithms Enhanced by Linear Regression for Data Mining Course Participants Arie Susetio Utami; Agust Isa Martinus; Freddy Wicaksono; Rangga Manggala Yudha
JUITA: Jurnal Informatika JUITA Vol. 13 Issue 2, July 2025
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/juita.v13i2.25598

Abstract

Course scheduling at the beginning of each semester is an absolute must, considering changes in course instructors, changes in the availability of lecture schedules, changes in lecture infrastructure in terms of number, capacity, and time of use, changes in the number of lecture participants, both new and repeat participants. This research aims to design an optimal scheduling system by considering scheduling constraints to avoid conflicts and increase the effectiveness of lecture scheduling management. The linear regression method is used to predict the number of lecture participants using the 2019-2022 academic year data as model data and the 2023 academic year data as testing data to validate the prediction data. Lecture scheduling uses a Genetic Algorithm with a fitness function for the number of cross-class schedules - contracted by repeating students - that conflict with the chromosomes used by courses, classes, lecturers, rooms, schedules, and others. The designed scheduling system has a prediction model with high accuracy and a coefficient of determination (R-Sq.) above 95% and RMSE below 10. This scheduling system is efficient, minimizing scheduling conflicts to 0 percent
Co-Authors Aan Kunaedi Ahmad Fauzan Alan Maulana Anwarudin, Khairul Budi Hartono, Mukhamad Dimas Ardiansyah Fadilah, Rifki Fadillah, Rifki Fajar Ghifari Nugroho Fajar, Alan Maulana Fitri Dian Perwitasari Harry Gunawan Hasanah, Sinta Hardiyanti Imam, Muhamad Imam Irwan Irwan Jaya, Suhana Minah Johan Johan Johan Khairunnisa, Ayu Nurul Kusdi Kusdi, Kusdi Lucky Saputra, Lucky Maksudi Maksudi Muhamad Iksan, Muhamad Muhyi, Ahmad Novianti, Dian Priadi, Gempar Rangga Manggala Yudha Rosalin Theophilia Tayane Sarie, Tiefani Permata Sokid, Sokid Supriyono Supriyono Tania, Winda Tri B. Prasetyo Triono, Wahyu Utami, Arie Susetio Vatmawati, Vatmawati Wahyu Triono Wicaksono, Freddy Widhiani, Pahla