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All Journal Techno.Com: Jurnal Teknologi Informasi Explore: Jurnal Sistem Informasi dan Telematika (Telekomunikasi, Multimedia dan Informatika) Setrum : Sistem Kendali-Tenaga-elektronika-telekomunikasi-komputer Jurnal Informatika dan Teknik Elektro Terapan Sistemasi: Jurnal Sistem Informasi INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi JURNAL MEDIA INFORMATIKA BUDIDARMA Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Teknoinfo Jurnal Sisfokom (Sistem Informasi dan Komputer) JPP IPTEK (Jurnal Pengabdian dan Penerapan IPTEK) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer INTEK: Jurnal Penelitian J-Dinamika: Jurnal Pengabdian Kepada Masyarakat Jurnal Tekno Kompak INFOMATEK: Jurnal Informatika, Manajemen dan Teknologi Building of Informatics, Technology and Science Jurnal Mantik Journal Zetroem Archive: Jurnal Pengabdian Kepada Masyarakat Jikom: Jurnal Informatika dan Komputer Jurnal Pengabdian Harapan Bangsa Software Development Digital Business Intelligence and Computer Engineering Jurnal Informatika Polinema (JIP) Jurnal ELTEK Cahaya Pengabdian
Sepyan Purnama Kristanto
Politeknik Negeri Banyuwangi
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Other

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Journal : building of informatics technology and science

 1 
Kmeans Clustering Segmentation on Water Microbial Image with Color and Texture Feature Extraction Kristanto, Sepyan Purnama; Hakim, Lutfi; Yusuf, Dianni
Building of Informatics, Technology and Science (BITS) Vol 4 No 3 (2022): December 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i3.2490

Abstract

Image segmentation is one of the analytical processes for digital image recognition, where this process divides the digital image into several unique regions based on homogeneous pixels. The process of homogeneous grouping images is based on several colour, texture and shape features. Colour in digital image processing is very important because colour has many information humans can easily understand. Colour has various features, combining colour intensity and grey (grayscale) and binary (black and white) values. However, the colour feature extraction process has many weaknesses. If the object used has a very small si[1]ze and range area, the use of colour features needs to be combined with extraction, and the segmentation process can be maximized. This study uses colour and texture features in the extraction process. It uses bacterial objects (microbes) from water, with limited image quality and objects that tend to be difficult to identify. The colour space feature extraction process is combined with a Gabor filter so that the segmentation process produces high-quality accuracy. Good. The Gabor filter used in this study is combined with the L*a*b space vector to increase accuracy in the segmentation process. The results showed that the use of texture features resulted in an increase in accuracy of 17.5% by testing the cluster value of 1.2.
Prediksi Harga Ikan Koi Berbasis Analisis Morfometrik Menggunakan Algoritma Random Forest Regressor Sepyan Purnama Kristanto; Lutfi Hakim; Dianni Yusuf; Moh. Erdda Habiby
Building of Informatics, Technology and Science (BITS) Vol 7 No 3 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i3.8617

Abstract

The lack of clarity in koi fish (Cyprinus rubrofuscus) pricing within the Indonesian ornamental fish market, driven by subjective valuation practices and information asymmetry, remains a primary challenge creating significant price disparities. The primary objective of this research is to address this challenge by designing and evaluating an objective predictive model. As its main contribution, this study develops the first Random Forest Regressor (RFR) based price prediction model. This model is specifically designed to handle complex non-linear relationships by integrating three main feature groups: morphometric parameters (species, size) and phenotypic characteristics (color patterns). Using a dataset of 800 samples collected from koi breeding centers in East Java, the optimized model achieved solid predictive performance, indicated by a Coefficient of Determination (R²) of 0.85 and a Root Mean Squared Error (RMSE) of IDR 265,000. Feature importance analysis revealed the significant finding that fish variety (one of the three analyzed feature groups) is the most dominant price determinant (62% contribution). The model quantitatively validates that rare varieties (such as Tancho/Utsuri) are valued 3 to 5 times higher than common varieties of the same size. Comparative analysis with traditional linear regression models (R² 0.61) also demonstrated the RFR's superiority in capturing complex morphological feature interactions. A critical finding indicates that the model's accuracy, already strong in the non-premium segment, can be improved by up to 15% through the quantification of qualitative aesthetic attributes (such as kiwa or gradation) using computer vision. The implementation of this model has the potential to standardize koi valuation, reduce market information asymmetry by up to 40%, and serve as a foundation for the development of the first AI-based price recommendation system in Indonesia's aquaculture industry.
Co-Authors Adhi Dharma Wibawa Aditya Roman Asyari Alfi Zuhriya Khoirunnisaa Anis Sulala Annisa Rani Maulida Aprilieno , Richo Malvin Arindo, Jastin Wiliam Arrizki, Mohammad Rashel Asyhari, Aditya Roman Ayatullah, Mohamad Dimyati Carenza Al Kharraz David Mahbubi Dian Taufik Dianni Yusuf Dianni Yusuf Dzikria, Jauhara Nada Egi Sabta Hiro Eka Amaliyah Ektrada, Erik Endi Sailul Haq Fahrus, Zhidan Faris Bagas Dinan Farisqi Panduardi Farizqi Panduardi Ferdiansyah, Erik Firmansyah, Ferdian Fitri Nur Afia Francisca Hariyati C Galih Hendra Wibowo Hadi Rizaldi Rahmanto Hendra Wibowo, Galih I Putu Sudhyana Mecha Imami, Marta Fairus Hani Indira Nuansa Ratri Junaedi Adi Prasetyo Khoirul Umam Kusuma, Dedy Hidayat Liliyani Amalia Lina Andriyani, Lina Lutfi Hakim Lutfi Hakim Maulia, Adinda Istika Moh. Erdda Habiby Mohammad Nur Shodiq Mohammad Nur Shodiq, Mohammad Nur Nanda Ayu Puspita Negara, Nanda Firdaus Pandu Nurul Hidayati Novitasari Pramana, Djien Purwoko, Agus Puspikawati, Septa Indra Puspita, Nanda Ayu Rahmad Adhi Sasono Ratnasari, Avina Dwi Rifqi, Mochamad Misbahur Rini, Eka Mistiko Ruth Ema Febrita Saputra, Mirza Dwiyan Setiawan, Wahyu Ade Siregar, Hamdan Maruli Suardinata, I Wayan Subono ., Subono Subono Subono Subono, Subono Suwardiyanto, Devit Tri Ayu Novitasari Utomo, Agus Priyo Wari, Naris Wibowo, Galih Hendra Widodo, Agung Wahyu Yogi Sukmawati Yuniarta Syarifatul Umami Yusup Supriyanto