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Journal : JIKA (Jurnal Informatika)

KLASIFIKASI CITRA BUNGA MENGGUNAKAN METODE SUPPORT VECTOR MACHINE DAN GRAY LEVEL CO-OCCURRENCE MATRIX Peryanto, Ari; Susanto, Dwi; Widodo, Yuwono Fitri
Jurnal Informatika Vol 9, No 2 (2025): JIKA (Jurnal Informatika)
Publisher : University of Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jika.v9i2.13151

Abstract

Flowers are an important raw material in the pharmaceutical and cosmetic industries. However, manual flower classification requires special skills, is time-consuming, and is prone to inconsistency. This study proposes the use of Machine Learning (ML) technology, especially the Support Vector Machine (SVM) method, to automate the flower classification process. The Gray Level Co-occurrence Matrix (GLCM) is a method used in extracting visual features of flowers and will obtain parameters such as contrast, correlation, energy, and homogeneity. The research stages include data collection, image preprocessing, feature extraction, classification model creation, and model performance evaluation using a confusion matrix. The results show that the classification model built is able to achieve an optimal accuracy of 78.3%. This approach shows great potential in improving the efficiency and consistency of automatic flower classification.
Co-Authors Abdul Fadlil Abdul Rahim Abdullah, Agni Pusparina Putri Achmad Basuki Achmad Nugrahantoro Adi, Rizky Kusumo Aditya, Anggie Yudistira Adviany, Ida Afida, Nurul Lailia Aini, Fadhilah Dhinur Aji Nugroho Aji, Rendra Suprobo Alayya, Syamila Isyqi aloysius mering Alqoronie, Uwais Anggraeni, Martianda Erste Anton Yudhana Apsari, Lela Ardiansyah, DT Ari Setiawan Arofani, Nilam Yuhanisa Ashafidz Fauzan Dianta, Ashafidz Fauzan Bagaskara, Yunior Dhian Barriyah, Insanul Qisti Baskoro Baskoro, Baskoro Betrand Erlangga Candra, Rizal Naufal Candra, Rizal Nufal Chandra, Dio Pamola Cinthya, Nathasha Darmawan, Zakha Maisat Eka Debby Ustari Dendo, Anastasia Datam Deny Tri Ardianto Duanda, Prada Esaliana, Dias Eva Agustriani Hutauruk, Eva Agustriani Faradisa, Rosiyah Fathoni, Kholid Finanda, Septy Asri Fitzgelard, Arsyita Rahma Hane, Thomas Didimus Harahap, Aqiilah Bilqiis Salsabiil Hartina, Hartina Hetty Manurung, Hetty Huda, Lailatul Ikhsani, Mifta Kurnia Imbenai, Gibson Samuel Indary, Melati Deshy Indri Astuti Islam, Mohamad Fajarudin Kharismajati, Gema Khilian, Abdul Mutalib Kulsum, Lastunna Umi Kuncoro, Nayla Amara Kusuma, Andri Kusumawati, Eko Kusumawati, Eko Lukmanul Hakim Lupiyanto Margatama, Tegar Taryan Mayasari, Fony Medi Hendra, Medi Mibtadin Mibtadin, Mibtadin MUHAMMAD REZA FAHLEVI Muhammadiyah, Muhammadiyah munasirah, Munasirah Muthmainnah, Atikah Mutia Hesti Istiqomah Negara, Muhammad Radhitya Kusuma Nofer, Dolly Nugroho Heri Cahyono Nugroho, Miftah Nurhikmah, Putri Indah Nuriyadin, Nuriyadin Nursinta, Neng Tita Pandhito, Bagus Wahyu Periyanto, Ari Peryanto, Ari Pitasari, Putri Amalia Dwi Prihatini Prihatini, Prihatini Priyani, Diah Indah Purnama, Miryan Sucianti Putri Permatasari, Putri Putri, Dheya Kusuma Arianing Putri, Fiorhentina Ramdani, Nurrahmad Rante, Hestiasari Ratna Kusuma, Ratna Rustam, Fradilah Rusydi Umar Sabila, Nabila Dienna Samsurianto Saptaningsih, Nur Saputri, Hafizah Rahma Sari, Mustika Wulan Sasanti Silvya Putri Sasmi, Dwi Andini Arditya Shabrina, Almira Wynne Sidik, Muhamad Fajar Siti Muslifah, Siti Siti Patimah, Isad Suhaeb Stafrizal, Syafrizal Sudrajat Sudrajat Suhendar, Satrian Sujarwo, Joko Supriyanto, Rahmat Susanto, Moh. Rusnoto Syafrizal Syafrizal Syarief Fajaruddin Titi Lestari, Titi Titis Srimuda Pitana, Titis Srimuda Tri Budi Santoso Wati, Ilma Wiwit Rahina Wati, Rianna Wati, Rianna Wibowo, Eko Putra Widananda, Charisma Wulan Widi Sarinastiti Widiyanto, Imam Juni Widodo, Yuwono Fitri Widowati Pusporini, Widowati Wijayanti, Fadhilah Ayu Yanti Puspita Sari Yenny Muliani Yuwono Fitri Widodo Zainuddin, Muhammad Agus Zikky, Moh