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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Reconfigurable and Embedded Systems (IJRES) Semantik Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) International Journal of Advances in Intelligent Informatics Seminar Nasional Informatika (SEMNASIF) ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JURNAL NASIONAL TEKNIK ELEKTRO JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Journal of Robotics and Control (JRC) Journal of Applied Engineering and Technological Science (JAETS) Jurnal Abdi Insani Madani : Indonesian Journal of Civil Society Journal of Applied Data Sciences Prosiding Konferensi Nasional PKM-CSR eProceedings of Applied Science eProceedings of Engineering Jurnal Rekayasa elektrika Jurnal INFOTEL
Indrarini Dyah Irawati
Telkom University
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Nursing Public Health Social Sciences Other

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Hybrid kernel support vector machine with cuckoo search optimization for malaria detection from blood smear images Anwariningsih, Sri Huning; Irawati, Indrarini Dyah
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.
Enhanced tuberculosis diagnosis: microscopic automatic stitching of sputum samples utilizing the SURF feature detector Nadhya Gita Anggana; Indrarini Dyah Irawati; Suci Aulia; Lestari Lestari
International Journal of Advances in Intelligent Informatics Vol 12, No 2 (2026): May 2026
Publisher : Universitas Ahmad Dahlan

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Abstract

In conventional TB diagnosis, 100-300 field of view (FOV) microscopic fields are to be observed, which might lead to observer fatigue. For both of these tasks, an automatic stitching framework was studied, which extends to conventional feature-based transformations while incorporating feature matching using affine geometry and RANSAC-based homography refinement, which accounts for the unique low-texture morphology and irregular patterns of Mycobacterium tuberculosis in ZN-stained sputum smears. The system was tested on a set of 10 overlapping image pairs with a fixed overlap of 30%. Among the evaluated image pairs, the proposed optimized method achieved a 100% success rate. Objective zero-pixel metric-based quantitative analysis also validated a higher quality of transparency as compared to other methods. The proposed SURF implementation reached a minimum number of 345.263 zero-pixels, outperforming standard SURF (964.247) and SIFT (1.069.687). This improved robustness to rotation and illumination variations rendered the optimized SURF-affine framework a preferred choice for automatic TB diagnosis systems.
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 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 Farhan Alghifari Chaniago Saputro, 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 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 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 Sandova, Fisal Oktafian Penta Sandy Purniawan Santosa, Harjono Priyo 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