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Hybrid kernel support vector machine with cuckoo search optimization for malaria detection from blood smear images Sri Huning Anwariningsih; Indrarini Dyah Irawati
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i2.pp1316-1326

Abstract

Microscopic image-based malaria detection still struggles to capture complex features due to variations in lighting and color. The support vector machine (SVM) method is often used in medical image detection, but its performance depends heavily on the selection of optimal kernel and hyperparameters (C and gamma). Conventional approaches, with single kernels and manual tuning, have limitations in capturing both spatial information and color distribution simultaneously. Therefore, this research proposes hybrid kernel support vector machine-cuckoo search algorithm (HKSVM-CSA) method that combines the radial basis function (RBF) kernel and histogram intersection for SVM, along with hyperparameter optimization using the CSA. The dataset used is malaria cell images, which contains parasitized and uninfected images of blood cells. The proposed method comprises five main steps: dataset preparation, feature extraction, HKSVM, hyperparameter optimization, and model evaluation. Experiments demonstrate that the proposed model achieves 94% accuracy, 93% sensitivity, 94% specificity, and area under the curve (AUC) of 0.98, which is significantly better than standard SVM, SVM-genetic algorithm (GA), and k-nearest neighbors (KNN). These results show that combining kernel and CSA significantly improves detection accuracy. This approach is promising for image-based automatic systems for infectious disease diagnosis.
Real-Time Hand Gesture-Based Virtual Mouse System Using ESP32-CAM and OpenCV Muhammad Farhan Alghifari Chaniago Saputro; Sugondo Hadiyoso; Indrarini Dyah Irawati
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 10 No 1 (2026): February 2026
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v10i1.6609

Abstract

This research develops a virtual mouse control system that uses real-time hand gesture recognition implemented on an ESP32-CAM–based Internet of Things (IoT) platform. By leveraging OpenCV for image processing, the system translates hand gestures into corresponding mouse actions, including cursor movement, clicking, and scrolling. The study evaluates system performance under different lighting conditions and Wi-Fi speeds. Results show that higher Wi-Fi speeds significantly reduce latency, enabling smoother real time gesture recognition and high definition video output, while lower speeds lead to noticeable delays and reduced accuracy. The system successfully enables remote cursor control through camera captured hand gestures, supporting functions such as left click, right click, scrolling, and dragging. In latency tests performed with an internet speed of approximately 60 Mbps, the system achieved an average delay of about 50 milliseconds. Under optimal lighting conditions with minimal background interference, it accurately tracked hand movements and recognized gestures such as pointing, clicking, dragging, and scrolling in real time, achieving an accuracy rate of 95%. Despite its lower resolution compared to conventional webcams, the ESP32-CAM proves to be an effective solution for virtual mouse control, particularly in scenarios where high-resolution imaging is unnecessary. Its IoT capabilities support remote operation, allowing users to control the virtual mouse from a distance as long as both the ESP32-CAM and the computer remain connected. Overall, the findings highlight the ESP32-CAM based IoT platform as a viable alternative for gesture based interaction in real applications, although further enhancements are needed to improve performance in challenging environments.
Integrasi Edukasi Kesetaraan Gender, Kecerdasan Buatan, dan Kepemimpinan dalam Pengabdian Masyarakat Internasional untuk Pendidikan Berkelanjutan Indrarini Dyah Irawati; Sari Dewi Budiwati; Runik Machfiroh; Augustina Asih Rumanti; Zuhanis Mansor; Izanoordina Ahmad
KOMUNITA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol 5 No 3 (2026): Agustus
Publisher : PELITA NUSA TENGGARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60004/komunita.v5i3.793

Abstract

Sustainable development in the digital age requires women’s participation in technology, innovation, and leadership. However, a gender gap exists in access to technology education and the development of digital competencies, particularly for young women. Therefore, Telkom University and Universiti Kuala Lumpur (UniKL) are implementing a community engagement-based community service program to support women’s empowerment through gender education, technology literacy—particularly in Artificial Intelligence (AI)—and leadership development. The program will take place from May 5 to 11, 2026, targeting university students, young women, as well as female students and teachers at SMK Al-Amah Sindulang. Activities included a Studium Generale on gender policy and technology, an AI introduction workshop and hands-on practice with AI tools, as well as the Youth Leadership Academy. Program evaluation was conducted using a Likert-scale questionnaire and open-ended questions. The evaluation results show that the majority of participants responded positively, with 93% stating that the material was relevant to the event’s theme, 87% rating the timing as appropriate, 70.2% strongly agreeing that similar events should continue, and 76% strongly agreeing that AI literacy programs should be held again. In addition, participants also demonstrated an increased understanding of gender equality, technology literacy, and leadership, and showed a high level of interest in the development of digital technology particularly AI and future-ready skills. This program supports SDG 4, SDG 5, SDG 8, and SDG 17 by promoting digital literacy, empowering women, developing future-ready skills, and fostering international collaboration in education- and technology-based community engagement
Co-Authors ., Ridwan A. V. Senthil Kumar Abi Hakim Amanullah Adi Arief Wicaksono ADIANGGIALI, ANYELIA Afandi, Mas Aly Akhmad Alfaruq Akhmad Hambali Alfaruq, Akhmad Andri Juli Setiawan Anggun Fitrian Isnawati Anwar Muqorobin Aprilia, Rizky Arfianto Fahmi Arif Indra Irawan ARIS HARTAMAN Ary Nugroho, Bambang Asep Mulyana Augustina Asih Rumanti Ayu Irmawati Bagus Budi Wibowo Bayu Erfianto Dadan Nur Ramadan Didi Supriyadi Dzikri Fajduani, Fazrian Ezi Rohmat Fadilla , Rahma Fairuz Azmi Fajrul Falaah, Alif Fandi Fachrulrozi, Muhammad Gabriel Sabadtino Siahaan Gelar Budiman Gita Indah Hapsari Hadjwan, Razel Hafidudin . Hanan Lutfianto, Naufal Ibnu Syahban M, Novaldi Inung Wijayanto Istikmal Ivosierra Andrea Larasaty Izanoordina Ahmad Jaya, M. Izham Justisia Satiti Larasaty, Ivosierra Andrea LATIP, ROHAYA Leanna Vidya Yovita Lenna Vidya Yovita Lestari Lestari Lionel Saonard, Aldo Lutvi Murdiansyah Murdiansyah Maidin, Siti Sarah Miftahul Khairat Sukma Muh. Kurniawan, A. Muhamad Roihan Muhammad Dimas Arfianto Muhammad Dimas Arfianto, Muhammad Dimas Muhammad Farhan Alghifari Chaniago Saputro Muhammad Iqbal Musyaffa, Nadhif Athallah Nadhya Gita Anggana Natia Pradnyaswari, Luh Gede Nita Laananila, Grace Nur Ramadhan, Dadan Nurwan Reza Fachrurrozi Nyoman Karna, Nyoman Paundra Aldila Pradana, Gde Agus Wira Satria Pradika Caesarizky Kurniahadi Prayoga, Andry Priawan, Agi Rahmafadilla, Rahmafadilla Ramadhan, adan Nur Ramdani, Ahmad Zaky Rassem, Taha H. Rasyidah, - Rendy Munadi Reni Dyah Wahyuningrum Ridha Muldina Negara Ridwan . Rita Purnamasari Rizal, Mochammad Fahru Rizky Aulia Rahman ROHMAT TULLOH Roykhan Sukma, Hanif Runik Machfiroh Sandova, Fisal Oktafian Penta Sandy Purniawan Santosa, Harjono Priyo Sari Dewi Budiwati Sasmi Hidayatul Yulianing Tyas Shahreen Kasim, Shahreen Shiddiq, Rama Wijaya Silvia, Helen Siti Sarah Maidin Siti Zahrotul Fajriyah Sofia Naning Hertiana Sri Huning Anwariningsih Suci Alfi Syahri Tune, Andi Suci Aulia Suci Aulia Sugeng Santoso Sugondo Hadiyoso Susi Susanti Suyatno Suyatno Syifa Nurgaida Yutia Tasya Chairunnisa Tita Haryanti Triasari, Biyantika Emili Uwais Razaqtana, Muhammad Vivi Monita Wartingrum, Nadia Wijanarko, Sulistyo Yudha Purwanto Yudiansyah Yudiansyah YULI SUN HARIYANI Zamri, Nurul Aqilah Zero Fomandes, Muhammad Zhao, Zhong Zuhanis Mansor