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PENGARUH PEMBERIAN MAGGOT Hermetia illucens MENGGUNAKAN MEDIA KULTUR YANG BERBEDA TERHADAP RESPON PERUBAHAN HISTOLOGI USUS IKAN KOI Cyprinus carpio Iriani, Fitria; Hadijah, Hadijah; Umar, Nurasia
Journal of Aquaculture and Environment Vol. 8 No. 1 (2025): Journal of Aquaculture and Enviroment Desember 2025
Publisher : Postgraduate Bosowa University Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35965/jae.v8i1.6784

Abstract

Ikan koi (Cyprinus carpio) merupakan salah satu ikan hias air tawar yang sangat populer di kalangan penggemar ikan hias. Seiring dengan meningkatnya permintaan pasar, industri budidaya ikan koi terus berkembang, namun juga menghadapi tantangan dalam hal biaya produksi. penggunaan maggot dari lalat Black Soldier Fly (Hermetia illucens) sebagai sumber protein alternatif dalam pakan ikan telah menarik perhatian yang signifikan, kemampuannya untuk mengkonversi berbagai jenis limbah organik menjadi biomassa yang kaya nutrisi. Metode Penelitian menggunakan rancangan acak lengkap dengan empat perlakuan tiga kali ulangan. Yaitu perlakuan (A) Maggot yang diberipakan labu kuning, (B) Maggot yang diberipakan buah naga, (C) Maggot yang diberi pakan pepaya, dan (D) Merupakan kontrol. Berdasarkan hasil penelitian bahwa perlakuan pemberian pakan maggot dengan labu kuning menghasilkan kandungan proksimat tertinggi pada maggot yaitu 36,89 mg/L, diikuti perlakuan Pepaya dan buah naga. Perlakuan ini juga memberikan peningkatan terhadap pertumbuhan panjang mutlak ikan koi yang paling signifikan dibandingkan perlakuan lain, namun pada pertumbuhan berat mutlak tidak terdapat perbedaan yang signifikan. Panjang vilih usus tertinggi ditemukan pada perlakuan pemberian maggot dengan labu kuning, yaitu 190,52 µm. Sementara itu, tingkat kelangsungan hidup ikan koi selama pemeliharaan tanpa kematian selama 30 hari masa pemeliharaan. Kualitas air selama penelitian tetap berada dalam kisaran optimal untuk kehidupan ikan koi. The Koi fish (Cyprinus carpio) are one of the most popular freshwater ornamental fish among fish enthusiasts. As market demand increases, the koi fish farming industry continues to grow, but also faces challenges in terms of production costs. The use of maggots from Black Soldier Flies (Hermetia illucens) as an alternative protein source in fish feed has attracted significant attention due to their ability to convert various types of organic waste into nutrient-rich biomass. The research method used a completely randomized design with four treatments and three replicates. The treatments were (A) maggots fed yellow pumpkin, (B) maggots fed dragon fruit, (C) maggots fed papaya, and (D) a control. Based on the research results, the treatment of maggots fed yellow pumpkin produced the highest proximate content in maggots, namely 36.89 mg/L, followed by the papaya and dragon fruit treatments. This treatment also provided the most significant increase in the absolute length growth of koi fish compared to other treatments, but there was no significant difference in absolute weight growth. The highest intestinal villi length was found in the maggot feeding treatment with yellow squash, at 190.52 µm. Meanwhile, the survival rate of koi fish during maintenance was 100% with no deaths over the 30-day maintenance period. Water quality during the research remained within the optimal range for koi fish life.
Heart Disease Classification Using ROSE and I-CHAID with Cramér’s V Bias Correction Taufiq, Annurial Fitrayah; Siswanto, Siswanto; Hadijah, Hadijah; Aprilyani, Lilis Dwi Sapta
Jurnal Varian Vol. 9 No. 1 (2026)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v9i1.5767

Abstract

Machine learning applications in healthcare are increasingly important for disease classification using categorical data. The Chi-square Automatic Interaction Detection (CHAID) method is widely used, but it often produces biased results, especially with small or imbalanced datasets. To overcome this limitation, the Improved CHAID (I-CHAID) was developed by integrating bias correction on Cramér’s V. Further performance gains on imbalanced data can be achieved by combining I-CHAID with the Random Oversampling Examples (ROSE) technique. This study aims to determine significant factors influencing heart disease and to evaluate the classification accuracy of the I-CHAID method with bias correction on Cramér’s V. The research was conducted in two stages: (1) balancing the dataset with ROSE and (2) constructing a classification tree of heart disease occurrences using I-CHAID with bias correction. The proposed I-CHAID model correctly classified 98 individuals with heart disease and 110 without heart disease out of 253 test cases. However, 30 cases were undetected (false negatives), and 15 were misclassified (false positives). Overall, the model achieved an accuracy of 84.60%, outperforming the standard CHAID method without bias correction, which reached only 71.15%. The I-CHAID method with Cramér’s V bias correction proved effective in identifying key factors associated with heart disease in Yogyakarta, including generational differences, smoking habits, and dietary patterns rich in fatty and savory foods. These findings highlight the potential of the proposed framework to support more reliable early risk identification and data-driven public health decision-making, particularly when dealing with imbalanced categorical health data.
Co-Authors Abdul Mutholib Adiaksa, Baso Witman Adnan Adnan Ahmad Suriansyah Al Faqir, Supri Ali, M. Hilmi Ali, St. Aminah Amaylia, Annisanur Andi Nuddin Aprilyani, Lilis Dwi Sapta ARDIANSYAH ARDIANSYAH Ariani, Irmi Arie Anggraini Arief, Muchlis Imanullah Arpan Putra, Kurniawan Asdar Asdar Asia , Nur Asikin, Siti Badria` Asmian, Risna Yunita Asmin, Risna Yunita Aswanti Setyawati Azis, Andi Sudarmin Cinantya, Celia D, Muhammad Basri Dadi Setiadi Dahlifa, Dahlifa Dalle, Muhammad Basri Daniel Happy Putra Dayurni, Popi Dea Zara Avila Devin, Devin Djunaedi Djunaedi eka rahmawati Emola, Diana Melani Endang Sulistyowati Ernaningsih Ernaningsih Ernawati Ernawati Erni Indrawati Ernita Fatimah, Endang Fatmawati, Ifat Fauzan, Suhaimi Fauziah, Ayu Bella Fuadah, Hanis Halijah, Sitti Hamdani Hamdani Hamsiah, Andi Hanafi, Yoandini Harlina Harlina Hasnah Hasnah Hayati, Witoh I Wayan Merta Imtiyaz, M. Adam Ira Titisari Iriani, Fitria Islahiyah, Islahiyah Iswahyuddin, Iswahyuddin Iwan Iwan Kamaruddin Kamaruddin Kamaruddin, Muh. Ihsan Kamil, Nurhusni Kenedi, Jaqueline Khabibul Khoiri Khodanah, Khodanah Komanik, Ida Jaya Kumala Dewi, Utami Leli, Leli Lestarina, Putri Mudhlika Letek, Yuliana Loar, Laurensius Luluk Fajria Maulida Ma'dika, Alexander Amba Machdum Bachtiar Mahesa, Lutfi Putra Mambrasar, Abimael Mardiana Mardiana Marhani Marhani Mariyah, Iim Marselaa, Anis Mastorat Mastorat Medan Yumas, Medan Mildaratu, Mildaratu Mukrima, Mukrima Mulisa, Mulisa Mulya Budi Harsono, Arta Mulyadi Mulyadi Mustofa Anwar Mutoharoh, Mutoharoh Muzakir Muzuni, Muzuni Nadifah, Robiatun Najamudin Najamudin Nanang Diana Nasir, A. Muhajir Nua, Wahyudi Septianto Nur Asia Umar Nur Hasanah Nur, Maulida Nurfaidah, Andi Nurmiati Nurmiati Nusur, Muh. Pahrul, Yolanda Peni, Donata Porwanti, Tri Pratiwi, Muli Dea Puspitasari, Ema Putra, M. Nizar Perdana Putri, Ayu Syah Ratnawati Gatta Ratnawati Ratnawati Ricda Nurhikmayanti Hamzah Riskawati Riskawati, Riskawati Risma, Napassanaye Riswanti, Riswanti Rizky Auliah Juniarti Rohyana, Mochamad Furqon Rosdiana Rosdiana Rumdanah, Rumdanah Rusmin ., Rusmin S Nurmuslimah, S S Siswanto Sabriana, Riska Safilu Safilu Sandi Pradana Sartika Sartika Satani, Helmi Syahru setiawan, lalu andika redi Sholihah, Maratun Sri Mulyani Sriwahyuningsih, A. Erna Sugiawiharja, Egi Suhada Suhada, Suhada Sulkhah, Sulkhah Sumarno . Suryana, Tatang Suryapermana, Nana Sutia Budi Syafaat, Buce Akhmad Syamsiar, Syamsiar Syamsu, Awaluddin Tabrani, Mohamad Bayi Tafwidhah, Yuyun Taufiq, Annurial Fitrayah Triyastati, Satriyah Umar Umar Umar, Nurasia Wayan Kantun Widayati, Ulfa Yunita Kristina Yusuf Mustofa, Yusuf Zainuddin, Zainuddin Zarkasih Putro, Khamim