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All Journal Pythagoras: Jurnal Matematika dan Pendidikan Matematika JUPITER (Jurnal Pendidikan Teknik Elektro) JURNAL REKAYASA SISTEM INDUSTRI Indonesian Journal of Applied Informatics Jurnal Review Pendidikan dan Pengajaran (JRPP) Jurnal Mnemonic Pawon: Jurnal Arsitektur JATI (Jurnal Mahasiswa Teknik Informatika) JIKA (Jurnal Informatika) Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Bumigora Information Technology (BITe) Journal of Informatics, Information System, Software Engineering and Applications (INISTA) Jurnal Data Mining dan Sistem Informasi PROFICIO: Jurnal Pengabdian Masyarakat SinarFe7 Bhakti Nagori (Jurnal Pengabdian kepada Masyarakat) Jurnal Informatika Teknologi dan Sains (Jinteks) JASTEN (Jurnal Aplikasi Sains Teknologi Nasional Journal of Computer Science Contributions (Jucosco) The Journal of Enhanced Studies in Informatics and Computer Applications International Journal of Computer Science and Information Technology Taawun: Jurnal Pengabdian kepada Masyarakat
Deddy Rudhistiar
Institut Teknologi Nasional Malang
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering 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 Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Physics Public Health Social Sciences Other

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Journal : Indonesian Journal of Applied Informatics

 1 
Implementasi Haar Cascade Untuk Deteksi Kendaraan Bermotor Pada Pemantauan Lalu Lintas Kota Malang Rian Setya Budi; Deddy Rudhistiar; Nurlaily Vendyansyah
IJAI (Indonesian Journal of Applied Informatics) Vol 9, No 2 (2025)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijai.v9i2.95558

Abstract

Abstrak : Pemantauan lalu lintas di kota besar seperti Kota Malang semakin penting untuk mendukung ketertiban dan analisis jalan raya. Meskipun infrastruktur CCTV telah tersedia, teknologi deteksi kendaraan secara otomatis masih terbatas. Penelitian ini mengimplementasikan metode Haar Cascade untuk deteksi kendaraan bermotor pada rekaman CCTV guna meningkatkan akurasi dan efektivitas pemantauan lalu lintas. Evaluasi kinerja sistem dilakukan menggunakan metrik akurasi, presisi, recall, F1 score, serta pengujian blackbox untuk mengukur keandalan fungsi sistem. Hasil menunjukkan performa deteksi terbaik pada pagi hari, dengan akurasi 94.84%, presisi 84.21%, recall 100%, dan F1 score 91.43% untuk mobil, serta akurasi 93.81%, presisi 92.45%, recall 94.23%, dan F1 score 93.33% untuk motor. Namun, performa menurun pada malam hari, dengan akurasi 88.89% dan F1 score 71.43% untuk mobil, serta akurasi 46.15% dan F1 score 63.64% untuk motor. Pengujian blackbox menunjukkan bahwa setiap fungsi sistem berjalan sesuai dengan yang diharapkan tanpa ditemukan error dalam pengoperasian fitur utama. Penelitian ini menunjukkan bahwa metode Haar Cascade efektif untuk deteksi kendaraan di siang hari, namun membutuhkan peningkatan untuk kondisi pencahayaan rendah.=================================================Abstract :Traffic monitoring in major cities like Malang has become increasingly important to support order and road analysis. Although CCTV infrastructure is available, the technology for automatic vehicle detection remains limited. This study implements the Haar Cascade method for motor vehicle detection on CCTV recordings to improve the accuracy and effectiveness of traffic monitoring. The system's performance evaluation was conducted using metrics such as accuracy, precision, recall, F1 score, and blackbox testing to assess system reliability. The results show the best detection performance in the morning, with an accuracy of 94.84%, precision of 84.21%, recall of 100%, and an F1 score of 91.43% for cars, and an accuracy of 93.81%, precision of 92.45%, recall of 94.23%, and an F1 score of 93.33% for motorcycles. However, performance decreased at night, with an accuracy of 88.89% and an F1 score of 71.43% for cars, and an accuracy of 46.15% and an F1 score of 63.64% for motorcycles. Blackbox testing shows that all system functions operate as expected without any errors in the main features. This study demonstrates that the Haar Cascade method is effective for vehicle detection during the day but requires improvement for low-light conditions.
Perancangan Game 3D Revenge of Lembu Suro Dengan Metode Finate State Machine Berbasis Desktop Aria Pramudia Eka Sakti; Renaldi Primaswara Prasetya; Deddy Rudhistiar
IJAI (Indonesian Journal of Applied Informatics) Vol 9, No 2 (2025)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijai.v9i2.95635

Abstract

Abstrak :Industri game modern berkembang pesat dan menjadi salah satu sektor hiburan terpopuler. Game berbasis cerita tradisional lokal, seperti legenda Lembu Suro dari Jawa Timur, menawarkan media yang efektif untuk melestarikan budaya. Penelitian ini bertujuan untuk merancang game 3D berbasis desktop yang mengangkat cerita Lembu Suro dengan menggunakan metode Finite State Machine (FSM). FSM dipilih karena kemampuannya untuk memetakan perilaku dinamis dan logis pada karakter non-pemain (NPC). Hasil pengujian menunjukkan responsivitas kontrol yang sangat baik dengan rata-rata waktu respons sebesar 124 ms, sementara tingkat kepuasan pemain berada pada rata-rata skor 8 dari 10, mencakup aspek kontrol, gameplay, dan tingkat kesulitan. Game ini tidak hanya menghadirkan pengalaman bermain yang interaktif, tetapi juga berkontribusi dalam pelestarian budaya lokal melalui representasi visual dan naratif cerita rakyat Jawa Timur, sekaligus menawarkan inovasi teknologi melalui implementasi FSM untuk perilaku adaptif NPC.===================================================Abstract :The modern gaming industry is developing rapidly and has become one of the most popular entertainment sectors. Games based on local traditional stories, such as the Lembu Suro legend from East Java, offer an effective medium for preserving culture. This research aims to design a desktop-based 3D game that tells the story of Lembu Suro using the Finite State Machine (FSM) method. FSM was chosen for its ability to map dynamic and logical behavior to non-player characters (NPCs). Test results show excellent control responsiveness with an average response time of 124 ms, while the level of player satisfaction is at an average score of 8 out of 10, covering aspects of control, gameplay and difficulty level. This game not only provides an interactive gaming experience, but also contributes to the preservation of local culture through visual representations and narratives of East Javanese folklore, as well as offering technological innovation through the implementation of FSM for NPC adaptive behavior.
Co-Authors Adzdziqri, Tareh Rozzaq Agung Panji Sasmito Agung Prasetyo, Yudha AHMAD FAISOL Ahmad Rizky Ramadani Amar Rizqi Afdholy Amar Rizqi Afdholy Anang Ansyori Annisa Yuniar Ardian Arya Putra, Rio Aria Pramudia Eka Sakti Arya Wardhana, Rama Asmoro, Wahyu Panji B, Diah Wilis L. Bangko, Yohanes Yudha Saputra Betty Dewi Puspasari Bhakti Widiatama, Manggala Boro, Cornelia Luba Tara Cornelia Luba Tara Boro Danar Pratiyksa, I Made Dedy Irawan, Josep Deviany Kartika Diah Wilis Lestarining Basuki Dwi Agustina, Fransisca Dwi Fathur Rohman, Agung Dwi Yulianto, Afri Edwin Tjahjadi, Martinus Eka Budiani, Renata Emmalia Adriantantri Enusjaya Putra, Arga Erlangga Prasetya, Imam Erwinda, Gesha Warilotte F.X Ari Wibisono Fahrudi Setiawan, Ahmad Fatchurrozi, Muhammad Fauzan Nashir, Muhamad Febriana Santi Wahyuni Firmansyah, Syafril Fransisca Dwi Agustina Garinanto, Budi Ghifari, Moch Azhar Al Gunawan, Rakhmat Dedi Habib Asiddiqie, Prananda Hadi Surya Wibawanto Sunarwadi Halizah, Nurul Hani Zulfia Zahro Hery Purwanto Himawan Subiyanto, Krishna Ida Bagus Suardika Imelda Febrianti Irma Sari, Ramandani Izmi Apriosa, Silvia Karina Auliasari Kartiko Ardi Widodo Khanan Alqutbhi, Latief Kurniawan, William Lalo Nusa, Faustino Listyani Kartika, Angelina M. Ibrahim Ashari Mahendra, Bintang Aqil Manusiwa, Mizaell Martinus Edwin Tjahjadi Masangin, Conly Mesach Habel Wiyono Pranataningtyas Mira Orisa Mochammad Ibrahim Ashari monika putri, hemanulisa Muhammad Fajar Fazriyana Muhammad Hasan Wahyudi Muhammad Nur Arifin Nanang Utomo, Mochammad Ni Putu Agustini Ni Putu Agustini Nisyasalsabila Putri, Khoyru Nugi Ferdiyanto, Elan Nurlaily Vendyansyah Nurul Alifia, Anisa Paryanto, Lukas Patricia Evericho Mountaines Peniel Immanuel Gultom Peterson Tho, Sandhy Pitriya Rizki, Ani Prakoso, Ryo Cahyo Pranata, Krish Praptiwi, Riska Amalia Prasetyo Nugroho, Bagas Prayoga, Andrian Prio Utomo, Yandi Putri Kartikasari, Yolanda Aprilia Putu Agustini, Ni Ramadhan, Zulfaiz RAMADHANI, RONI Rangga Saputra, Aulya Ratnasari, Andika Putri Reiny Ditta Myrtanti Reiny Ditta Myrtanti Reiny Myrtanti Renaldi Primaswara Prasetya Reynaldi Prayoga, Thomas Rezky Ramadhan, Bayu Rian Setya Budi Rizky Firdaus, Muhammad Rizky Prayudhi, Bimo Salsabil Haq, Mustaqdimin Saputra, Thesa Adi Satrio, Imam Sentot Achmadi Shabrina Dwiputri Siti Mutiara SUAIDAH SUAIDAH, SUAIDAH Sujianto Suliati Suliati Suryo Adi Wibowo Thesa Adi Saputra Yusri Wahyani , Widhy Widhy Wahyani Widhy Wahyani Willyam Saputra, Leonardo Wiradi Surya, Rachmat Xavier Ariwibisono, Fransiscus Yohanes Oraplean, Cavin Yosep Agus Pranoto Yosep Agus Pranoto Yusri, Thesa Adi Saputra Zakaria Rifqi Azib, Muhammad Zulfia Zahro’, Hani