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All Journal JURNAL ILMIAH PLATAX Indonesian Journal of Educational Studies Tadarus: Jurnal Pendidikan Islam Jurnal Analis Kesehatan JURNAL PENDIDIKAN TAMBUSAI JURNAL SYARIKAH : JURNAL EKONOMI ISLAM JURNAL MEDIA KESEHATAN JURNAL ANALIS LABORATORIUM MEDIK Jurnal Fisika dan Terapannya Anakes: Jurnal Ilmiah Analis Kesehatan Indobiosains Masker Medika Unram Journal of Community Service (UJCS) J-KIP (Jurnal Keguruan dan Ilmu Pendidikan) Jurnal Administrasi Publik Jurnal Teknik Mesin Sinergi JOMLAI: Journal of Machine Learning and Artificial Intelligence IJCIED Journal of Artificial Intelligence and Digital Business PERMANA : Jurnal Perpajakan, Manajemen, dan Akuntansi Indonesian Journal of Multidisciplinary on Social and Technology Jurnal Pengabdian Masyarakat Bangsa Kontemplasi : Jurnal Ilmu-Ilmu Ushuluddin Jurnal Wicara Desa
Nurhidayanti, Nurhidayanti
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Journal : JOMLAI: Journal of Machine Learning and Artificial Intelligence

 1 
Application of the Gaussian Mixture Models (GMM) Algorithm to Identify Error Patterns in Compilation Ayu Utari Nasution; Eko Prima Ambarita; Nurhidayanti, Nurhidayanti; Heba Elsisy Fadlia; Victor Asido Elyakim P
JOMLAI: Journal of Machine Learning and Artificial Intelligence Vol. 4 No. 2 (2025): Juni 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/jomlai.v4i2.5960

Abstract

In software development, the compilation process is a critical step that transforms source code into executable programs. These compilation errors can vary from simple syntax errors to more complex semantic errors, which often require a lot of time and effort to identify and fix. As a result, identifying recurring error patterns in the compilation process is important to improve software development efficiency. This study aims to explore the application of GMM in identifying error patterns in the compilation process. The results of this study indicate that the value of 0.58 on the Silhouette Score indicates that the clustering performed by GMM is quite good at identifying error patterns in compilation. The clusters are divided into 3, namely, Cluster 0 may indicate types of errors that occur more quickly (possibly related to syntax errors), with fewer lines of code and lower error frequency. Cluster 1 may represent more complex and less frequent errors (e.g., linker or runtime errors), with more lines of code. Cluster 2 may contain errors with different patterns, such as higher compilation duration or more frequent error frequency.
Co-Authors A. Farid .Hemon Adriana, Novia Agustin, Rizki Dwi Ahmad Ridha Ahmad, Nurul Fitriah Akbar, Djalaludin M. Al Munawarah, Nur Amelia, Novi Amram, Riskayani Andi Anirah Arfiany, Arfiany Asmawati Asmawati Ayu Utari Nasution Aziz, Muhaimin Baharuddin Baharuddin Chairilsyah, David Citta, Andi Batari Denny Juraijin Dewi Hartati Doo, Viona Febyola Refana Eko Prima Ambarita Erniati Erniati Fadel, Fadel Faridah Faridah Gunawan, Aden Hamdi, Abdul Ridho Hanangga, Lalu Danal Harma, Harma Haryanti, Intisari Heba Elsisy Fadlia Hikmah Hikmah Huldi, Amzanatul Ikha Safitri Indah Indah Indah Sari Indah Setiani Insyiroh, Salsabila Isjoni Isjoni Islami, Tri Avenda Jumri Hi Thahang Basir Juraijin, Denny Juwy Trianes Kusumaningrum, Retno Ayu Lana Safitri, Lana Safitri Mahya, WN. Marhamah Marwah, Misbahudin Mashuri, Arif MASITHA, DEWI Mega Sari Juane Sofiana Muharani Nst, Junita Mujiburrahman Mujiburrahman Mukhtar Galib nur, Indrayani NURWAHIDAH NURWAHIDAH Obie Permana Phayana, Yulinda Mayanti Putro, Guntur S. Putro, Guntur Suryo R., Mantasiah Rizkan, Rizkan Robiyatul Adawiyah Ruslan Ruslan Sagaf S. Pettalongi Saputra, Agung Muhtar Sari, Refina Ratna Septiana, Dini Slamet, Sukmatica Solihin, Muhamad Sri Astuti Sri Ernawati Sulaeman, Budiawan Tambunan, Via Anjalinia Thanwain, Thanwain Victor Asido Elyakim P Wahyuni, Ayusari Yahya, Muhammad Rizal Yulianto, Dian Dwi Yunita, Ade