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Kusman Sadik
Departemen Statistika, IPB University
Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Neuroscience Physics Social Sciences Transportation Other

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Perbandingan Kinerja Algoritma Cheng and Church dan Qualitative Biclustering pada Data Produksi Perikanan Budidaya Indonesia Dewi Zulyani Pomalingo; Muhammad Nur Aidi; Kusman Sadik
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Volume 14 Issue 2 August 2026
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v14i2.39884

Abstract

Biclustering is a two-dimensional clustering approach that simultaneously identifies relationships between objects and variables, making it more suitable than conventional clustering methods for analyzing data with local patterns. Although numerous biclustering algorithms have been developed, comparative studies evaluating their performance on official statistical data remain limited. This study aimed to evaluate the performance of the Cheng and Church (CC) and Qualitative Biclustering (QUBIC) algorithms using Indonesia’s aquaculture production data for 2023. The dataset comprised the production of 14 aquaculture commodities across 34 provinces. Optimal parameters for both algorithms were determined through a manual tuning procedure. Their performance was subsequently evaluated using the Mean Squared Residue (MSR), Average Squared Residue (ASR), and the Liu–Wang index. The results showed that the optimal parameter for the CC algorithm was δ = 0.009, while the optimal QUBIC parameters were r = 1, q = 0.06, and c = 0.75. CC produced 7 biclusters with an ASR of 0.0052, whereas QUBIC produced 8 biclusters with an ASR of 0.4360. The lower MSR and ASR values of CC compared with QUBIC indicate that CC was more effective in forming homogeneous biclusters in aquaculture production data. The number of province memberships showed that both algorithms were able to capture patterns across most provinces, although CC had slightly broader coverage. The Liu and Wang index value of 0.1951 indicated a relatively low similarity between the bicluster membership structures produced by CC and QUBIC. Thus, although both algorithms were applied to the same aquaculture production data, CC and QUBIC tended to produce different clustering structures.
Co-Authors . Erfiani . Indahwati A.Tuti Rumiati Aam Alamudi Abdullah, Adib Roisilmi ACHMAD FAUZAN Agus M Soleh Agus Mohamad Soleh Ahmad Rifai Nasution Aji Hamim Wigena Akbar Rizki Akbar Rizki Akbar Rizki Akmala Firdausi Amalia, Rahmatin Nur Anadra, Rahmi Ananda Shafira Anang Kurnia Andespa, Reyuli Andi Okta Fengki ASEP SAEFUDDIN Astari, Reka Agustia Astari, Reka Agustia Aulya Permatasari Azka Ubaidillah Bagus Sartono Budi Susetyo Budi Susetyo Cici Suhaeni Cici Suhaeni Cici Suhaeni Dewi Zulyani Pomalingo Dian Handayani Dito, Gerry Alfa Dwi Agustin Nuriani Sirodj Efriwati Efriwati Embay Rohaeti Eminita, Viarti Eriski Isnanda Evita Purnaningrum Fahira, Fani FARDILLA RAHMAWATI Farit Mochamad Afendi Fitrianto, Anwar Freya, Wa Ode Rona Gerry Alfa Dito Haikal, Husnul Aris Hari Wijayanto Hasnataeni, Yunia Hazan Azhari Zainuddin Hermawati, Neni I Gusti Ngurah Sentana Putra I Gusti Ngurah, Sentana Putra I Made Sumertajaya I Wayan Mangku Indahwati Indahwati Indahwati Iqbal, Teuku Achmad Khairi A N Khairil Anwar Notodiputro Khikmah, Khusnia Nurul Khusnul Khotimah Kusni Rohani Rumahorbo Latifah, Leli Lili Puspita Rahayu Logananta Puja Kusuma M Soleh, Agus Mochamad Ridwan Mochamad Ridwan, Mochamad Mohammad Masjkur Muh Nur Fiqri Adham Muhammad Nur Aidi Muhammad Yusran Mulianto Raharjo Naima Rakhsyanda Nisrina Az-Zahra, Putri Nur Khamidah Nusar Hajarisman Pangestika, Dhita Elsha Purnama Sari Rifqi Aulya Rahman Rita Rahmawati Rizaldi Boer Rizki, Akbar Rizqi, Tasya Anisah ROCHYATI ROCHYATI Sahamony, Nur Fitriyani Saleh, Agus Muhammad Satriyo Wibowo Siregar, Jodi jhouranda Siti Aisyah SITI NURADILLA Siti Raudlah Sitti Nurhaliza Soleh, Agus M Suhaeni, Cici Sundari, Marta Supriatin, Febriyani Eka Tendi Ferdian Diputra Titin Suhartini Titin Suhartini, Titin Tri Wahyuni Uswatun Hasanah Utami Dyah Syafitri Viarti Eminita Widhiyanti Nugraheni Yenni Angraini Yenni Kurniawati Yuli Eka Putri Zafira Fakhriyah