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All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Dharmakarya : Jurnal Aplikasi Ipteks Untuk Masyarakat KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Journal of Electronics, Electromedical Engineering, and Medical Informatics Jurnal Abdimas Madani dan Lestari (JAMALI) Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Journal of Data Science and Software Engineering Jurnal Informatika Polinema (JIP) JGuruku: Jurnal Penelitian Guru Jurnal Komputasi
Dwi Kartini
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Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Public Health Other

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Application of Solar-Based Light Lumen to Papuyu Fish Farmers in Penggalaman Village, West Martapura: Indonesia Dwi Kartini; Nugrahadi, Dodon Turianto; Ramadhani, Rahmat
Jurnal Abdimas Madani dan Lestari (JAMALI) Volume 06, Issue 01, Maret 2024
Publisher : UII

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/jamali.vol6.iss1.art7

Abstract

Penggalaman Village, West Martapura, Banjar Regency, South Kalimantan is one of the papuyu fisheries development areas. The location of the village is very strategic, located along the irrigation flow of Penggalaman Village and has very sufficient potential in the fisheries business for fish farmers. Villagers have carried out papuyu fish seed cultivation activities that have ponds for artificial fertilization of papuyu fish, papuyu fish egg hatching ponds and enlargement ponds but have not implemented lighting in the process of fish farming activities. This is because it requires a lot of electrical energy and costs a lot for these activities. The purpose of this service activity is to introduce and apply solar-based electrical energy sources for fish farmers in improving fisheries businesses as an alternative to electrical energy. This tool is equipped with yellow and white lumens, controller, battery, aerator and solar panel and automatic control system. The application of solar-based lumens will provide a technological solution to the lighting of papuyu fingerlings and enlargement ponds for papuyu fish farmers in Penggalaman Village. Yellow and white lumens are able to provide lighting and reduce predator attacks at night. The results of the application of this technology are the fulfillment of electrical energy by applying solar-based lumens to papuyu fish nurseries and increasing the lighting of fish nurseries and papuyu fish enlargement by approximately 80%, and reducing night predator attacks by 70%.
IMPLEMENTASI CATBOOST DENGAN MENGGUNAKAN HYPER-PARAMETER TUNING BAYESIAN SEARCH UNTUK MEMPREDIKSI PENYAKIT DIABETES Arif Darmawan; Muliadi Muliadi; Dwi Kartini; Triando Hamonangan Saragih; Radityo Adi Nugraha
Jurnal Komputasi Vol. 11 No. 2 (2023)
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v11i2.13746

Abstract

Diabetes merupakan masalah kesehatan masyarakat dunia dengan prevalensi yang selalu meningkat setiap tahun. Penyakit Diabetes ini perlu didiagnosis sejak dini menggunakan algoritma klasifikasi. Dataset yang digunakan yaitu PIMA Indians Diabetes Database dari Kaggle dengan 768 data dan 8 fitur. Metode pengklasifikasi yang digunakan yaitu Catboost. Klasifikasi Catboost dapat bekerja baik dalam menangani ketidak seimbangan data, namun kinerja algoritma ini masih bisa ditingkatkan lagi. Untuk mengatasi permasalahan tersebut peneliti menggunakan solusi Hyper-parameter tuning. Catboost memiliki beberapa Hyper-parameter yang dapat dikonfigurasi untuk meningkatkan kinerja dari model. Masalah mengidentifikasi nilai yang baik untuk Hyper-parameter disebut Hyper-parameter tuning. Metode Hyper-parameter tuning yang digunakan yaitu Bayesian Search yang kemudian divalidasi menggunakan 10-Fold Cross Validation sebanyak 10 iterasi. Hyper-parameter Catboost yang dikonfigurasi antara lain depth, learning_rate dan Iterations. Pengujian pada Catboost tanpa Hyper-parameter tuning memperoleh nilai presisi sebesar 0,625% dan nilai AUC sebesar 0,868%. Untuk pengujian Catboost dengan Hyper-parameter tuning memperoleh presisi sebesar 0,634 % dan AUC sebesar 0,901%. Menambahkan Hyper-parameter tuning Bayesian Search pada metode klasifikasi Catboost dapat meningkatkan hasil nilai akurasi dan nilai AUC.
Co-Authors AA Sudharmawan, AA Ade Saputra Akhmad Yusuf Andi Farmadi Andi Farmadi Ando Hamonangan Saragih Arif Darmawan Aris Pratama Bayu Hadi Sudrajat Difa Fitria Dodon Turianto Nugrahadi Ernawati Faisal Murtadho Fathul Hadi Fatma Indriani Fitria Agustina fitria Friska Abadi Halimah Hendy Setyoputro Ichsan Ridwan Ichwan Dwi Nugraha Irwan Budiman Ivan Sitohang Lisnawati Megi Adhiyani Muhammad Denny Ersyadi Rahman Muhammad Irfan Saputra Muhammad Itqan Mazdadi Muhammad Latief Saputra Muhammad Mirza Hafiz Yudianto Muhammad Reza Faisal, Muhammad Reza Muhammad Ridha Maulidi Muliadi Muliadi Aziz Muliadi Muliadi Nuranita Adiastuty, Nuranita Oni Soesanto Pirjatullah Radityo Adi Nugraha Radityo Adi Nugroho Rahmat Ramadhani, Rahmat Regina Risky Meliawati Rudy Herteno SALLY LUTFIANI Salsabila Anjani Saragih, Triando Hamonangan Siti Hatimah Rahmadaniah Siti Napi'ah Wahyu Caesarendra