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Journal : Jurnal Buana Informatika

Implementasi Algoritma Apriori sebagai Association Rule Learning untuk Mengidentifikasi Pola Item Dataset Penjualan Supriana, I Wayan; Rahning Putri, Luh Arida Ayu
Jurnal Buana Informatika Vol. 16 No. 01 (2025): Jurnal Buana Informatika, Volume 16, Nomor 01, April 2025
Publisher : Universitas Atma Jaya Yogyakarta

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Abstract

Retail store competition is becoming more intense, so marketing and product arrangement are crucial for shopping efficiency, maintaining comfort, and increasing profits. This study analyzes consumer shopping habits for goods in each transaction through market basket analysis. The Apriori algorithm is a common technique for finding frequent item search techniques in building association rules, namely the relationships between item combinations in a dataset. The aim is to implement the Apriori algorithm as an association rule learning method to identify patterns within sales data. The Apriori association rule is compared to the frequent pattern growth algorithm, which finds the most frequently occurring patterns in a dataset. Based on the tests, the average lift ratio for the Apriori algorithm is 1.58, while for the frequent pattern growth algorithm, it is 1.28. This indicates that the Apriori algorithm performs better than the frequent pattern growth algorithm.
Implementasi Algoritma Apriori sebagai Association Rule Learning untuk Mengidentifikasi Pola Item Dataset Penjualan Supriana, I Wayan; Rahning Putri, Luh Arida Ayu
Jurnal Buana Informatika Vol. 16 No. 01 (2025): Jurnal Buana Informatika, Volume 16, Nomor 01, April 2025
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Persaingan toko retail semakin ketat, pemasaran dan penataan produk penting untuk efisiensi belanja, menjaga kenyamanan, dan meningkatkan profit. Analisis kebiasaan berbelanja konsumen terhadap barang pada setiap transaksi dengan melakukan market basket analysis. Algoritma Apriori merupakan salah satu teknik untuk menemukan frequent item dalam membangun association rule yaitu hubungan antara kombinasi item dalam suatu dataset. Penelitian ini bertujuan untuk implementasi algoritma Apriori sebagai association rule learning untuk mengidentifikasi pola item dataset penjualan pada toko retail. Association rule itemset dengan algoritma Apriori akan dibandingkan dengan Frequent Pattern Growth (FP-Growth) yang merupakan algoritma untuk menemukan himpunan data yang paling sering muncul pada dataset. Berdasarkan pengujian yang dilakukan rerata nilai lift ratio algoritma Apriori sebesar 1,58 dan rerata nilai lift ratio algoritma FP-Growth sebesar 1,28.  Hal ini menunjukkan bahwa algoritma Apriori memiliki kinerja lebih tinggi jika dibandingkan dengan algoritma FP-Growth. 
Inspired GWO-based Multilevel Thresholding for Color Images Segmentation via M. Masi Entropy I Made Satria Bimantara; I Wayan Supriana; I Komang Arya Ganda Wiguna; Ida Bagus Gede Sarasvananda
Jurnal Buana Informatika Vol. 16 No. 2 (2025): Jurnal Buana Informatika, Volume 16, Nomor 02, Oktober 2025
Publisher : Universitas Atma Jaya Yogyakarta

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Abstract

Image segmentation is crucial in image processing and computer vision, with multilevel thresholding (ML-ISP) offering robust solutions for complex images. However, effectively applying ML-ISP to RGB color images remains a challenge due to computational complexity and the limitations of traditional optimization algorithms, such as the Grey Wolf Optimizer (GWO). This study proposes an Inspired Grey Wolf Optimizer (IGWO) to address these issues and enhance ML-ISP for RGB color images. The performance stability of IGWO is comprehensively evaluated using three distinct objective functions: the Otsu method, the Kapur Entropy, and the M. Masi Entropy. Qualitative and quantitative analyses using PSNR, SSIM, and UQI were conducted on benchmark images. Results consistently demonstrate that IGWO, particularly with M. Masi Entropy, achieves superior segmentation quality. This research incorporates GridSearch-based hyperparameter tuning. The findings highlight the effectiveness and robustness of the proposed IGWO approach for complex ML-ISP tasks on color images.
Co-Authors Adiartika, Made Harry Dananjaya Agus Muliantara Aisyah Putri, Sandrina Ferani Anak Agung Istri Dewi Lestari Anak Agung Istri Ngurah Eka Karyawati Anak Agung Istri Ngurah Eka Karyawati Ananta, I Gede Ngurah Wahyu Brahmantha, Gede Putra Aditya Cokorda Pramartha Cokorda Rai Adi Pramartha Devan Bramantya Dharmawangsa, I Gusti Ngurah Agung Eka Putra, I Gede Ariawan Gerson Feoh Giri, Gst. Ayu Vida Mastrika Giri, I Nyoman Yusha Tresnatama Gst. Ayu Vida Mastrika Giri I Dewa Agung Cahya Putra I Gede Ariawan Eka Putra I Gede Santi Astawa I Gede Wilantara Jaya I Gusti Agung Gede Arya Kadyanan I Gusti Bagus Ngurah Agung Brian Wijaya I Gusti Ngurah Anom Cahyadi Putra I Ketut Agus Pranata Muliawan I Ketut Gede Suhartana I Ketut Gede Suhartana I Komang Ari Mogi I Komang Arya Ganda Wiguna I Made Arya Dwisada I Made Satria Bimantara I Made Satria Bimantara I Made Wahyu Purnama Putra I Made Widiartha I Nyoman Adiputra I Putu Gede Adiatmika I Putu Gede Hendra Suputra I Putu Gede Maysa Putra I WAYAN SANTIYASA I Wayan Wikananda Adikara Ida Ayu Gede Suwiprabayanti Ida Bagus Gede Dwidasmara Ida Bagus Gede Sarasvananda Ida Bagus Made Mahendra IWK Teja Sukmana Jeremi Herodian Abednigo Jhordi, Rafif Karlina Surya Witanto Kiki Dwi Prebiana Komang Dhiyo Yonatha Wijaya Krisphino Saputra Nurbidin Liana, Laurensia Luh Arida Ayu Rahning Putri Luh Gede Astuti Luh Gede Astuti Mahardika, I Gede Teguh Maheswara, Pande Putu Devo Punda Marissa Audina Mrs Megawati Muhammad Firdaus Zulkarnain Muliawan, I Ketut Agus Pranata Ni Komang Santi Cahyani Ni Made Putri Wahyuni Ni Putu Dian Kartika Sari Ni Wayan Anti Andari Nyoman Putra Prasetya Wardhana Partamayasa, I Wayan Gede Prashanti, Ni Putu Vidya Vira Prebiana, Kiki Dwi Putra, I Made Wahyu Purnama Putra, I Putu Krisnawan Putra, IGN Anom Cahyadi Putu Wida Gunawan Radhitya, Made Leo Raharja, Made Agung Saifulloh Rahman Sandrina Ferani Aisyah Putri Sang Putu Febri Wira Pratama Santiani, Ida Ayu Made Putri Saputra, I Made Widi Arsa Ari Saputra, I Made Widi Arsa Ari Saputra Simarmata, Ivan Luis subanar subanar Sudarmawan, I Komang Roni Surya Gemilang, I Wayan Adhi Susy Purnawati Tpoy, Getzbie Alfredo Utama, I Putu Yasa Utari, Ni Nyoman Grisyana Valentin Gea Affila Pradika Wahyu Ananta, I Gede Ngurah Wardhana, Nyoman Putra Prasetya Wati, Zulfazazalia Putri Candra Wiantari, Ni Wayan Zulfazazalia Putri Candra Wati