Article Per Year (5 Year)
p-Index From 2021 - 2026
2.555
P-Index
This Author published in this journals
All Journal Jurnal Ilmu Pertanian Indonesia Jurnal Teknologi Industri Pertanian E-jurnal Agro-Industri Indonesia Jurnal Rekayasa Proses Itepa : Jurnal Ilmu dan Teknologi Pangan Agrointek Jurnal Penelitian Pascapanen Pertanian Jurnal Teknologi Informasi dan Ilmu Komputer agriTECH Biota Jurnal Rekayasa Proses Jurnal Teknik Kimia Indonesia Jurnal Rekayasa Proses
Ika Amalia Kartika
Departemen Teknologi Industri Pertanian, Fakultas Teknologi Pertanian, Institut Pertanian Bogor, Kampus IPB Darmaga, Bogor 16680
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Education Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Medicine & Pharmacology Social Sciences

Published : 32 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 32 Documents
Search

 1   2   3   4 
Sistem Pendukung Keputusan Diagnosis Penyakit Sapi Potong Menggunakan K-Nearest Neighbour (K-NN) Kurnianingtyas, Diva; Rahardian, Brillian Aristyo; Mahardika, Dyan Putri; A., Amalia Kartika; K., Dwi Angraeni
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 4 No 2: Juni 2017
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (721.164 KB) | DOI: 10.25126/jtiik.201742308

Abstract

AbstrakIndustri peternakan merupakan salah satu industri yang penting dalam bidang penyediaan nutrisi makanan sehingga pertumbuhan produk ternak bisa menciptakan suatu ancaman kesehatan masyarakat dimana menyebabkan permasalahan kesehatan. Kurangnya pengetahuan peternak sapi potong mengenai berbagai penyakit yang menyerang serta solusi penanganan salah satu alasan  memanajemen kesehatan ternak dirasa cukup menyulitkan beberapa peternak. Pengembangan sistem pendukung keputusan yang menggunakan metode K-Nearest Neighbour (K-NN) sebagai metode inferensi untuk mendiagnosis penyakit ini. Data 11 jenis penyakit dapat dikenali oleh sistem pendukung keputusan dan 20 jenis gejala yang dapat dikenali oleh sistem. Hasil pengujian keakuratan 325 data latih dan 11 data uji telah menghasilkan tingkat akurasi 100% dengan nilai k = 3.Kata kunci: penyakit sapi potong, sistem pendukung keputusan, K-Nearest Neighbour AbstractThe livestock industry is one industry that is important in the provision of food nutrients so that the growth of livestock products could create a public health threat which causes health problems. Lack of beef cattle farmers knowledge about the various diseases that attack as well as the handling solutions is one reason s managing animal health are considered difficult for some farmers. The development of decision support systems using K-Nearest Neighbour (K-NN) as an inference method to diagnose this disease. Data 11 types of diseases can be recognized by decision support systems and 20 types of symptoms that can be recognized by the system. Results of testing the accuracy of 325 training data and test data 11 has yielded an accuracy rate of 100% with a value of k = 3.Keywords: cattle cow disease, desicion support system, K-Nearest Neighbour
Perancangan industri skala menengah minyak tamanu dan produk sampingnya Kartika, Ika Amalia; Muhammad, Adil Akbar; Faisya, Rofiq Yanu; Novalsyah, Fachrezky
AGROINTEK Vol 20, No 1 (2026)
Publisher : Agroindustrial Technology, University of Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/agrointek.v20i1.27947

Abstract

Tamanu oil is rich in active compounds beyond just fatty acids, including calophyllolide, inophyllums, calanolides, tamanolides, and coumarins, all of which offer antioxidant, anti-aging, anti-inflammatory, anti-UV, and anti-bacterial benefits. This makes tamanu oil a promising ingredient for skincare products such as facial oils, soaps, and shampoos. The oil can be produced by mechanical and/or solvent extraction. This research aimed to develop a medium-scale tamanu oil industry and its by-products from Calophyllum fruits, identify suitable production technologies, design a business model using the business model canvas, and conduct a feasibility analysis. The feasibility analysis was carried out by taking into account technical and technological, market and marketing, environmental, management and organizational, and financial aspects. The financial aspect included determining the B/C ratio, payback period, net present value, and return of investment. The production process tested in this study utilized fresh Calophyllum seeds and employed hot screw pressing along with binary solvents for extraction. The outputs from processing 1000 kg of calophyllum fruits included 141 kg of virgin tamanu oil, 57 kg of tamanu oil, 7.05 kg of resin, 594 kg of biopellets, and 142.2 kg of animal feed. The feasibility study indicated a positive net present value, a B/C ratio of 1.53, a payback period of 1.04 years, and a return on investment of 95.31%, confirming that establishing and operating a tamanu oil industry and its byproducts from calophyllum fruits is viable.
Co-Authors . Muslich Akrom, Akrom Andi Nurul Aulia Sari Ani Suryani Ati Atul Quddus D Ariono Danu Ariono Danu Ariono Dhiani Dyahjatmayanti Djajeng Sumangat Dyan Putri Mahardika, Dyan Putri Elfa Susanti Thamrin Endang Warsiki Endang Warsiki Erliza Hambali Faisya, Rofiq Yanu Fatria Resti Haryani Gita N. Andayani Griselda Happy Ramadhani Ikbal Fataya Illah Sailah Indah Yuliasih Irvan Setiadi Kartawiria K., Dwi Angraeni Khaswar Syamsu Kurnia Sofyan Kurnianingtyas, Diva L Rigal M Yani Moh. Yani Muhamad Ryan Pratama Muhamad Yunus Muhammad Romli dan Suprihatin Andes Ismayana Muhammad, Adil Akbar Mukarramah Lubis Mulyorini Rahayuningsih Nancy Dewi Yuliana Natasha Yuka Fastiana Naufal Ali Hamid Niken Harimurti Novalsyah, Fachrezky Okta Amelia Ono Suparno Ph Evon Rafiq Izzudin Rabbani Rahardian, Brillian Aristyo Slamet Budijanto Sri Yuliani Sri Yuliani Sugiarto Sugiarto Titi Candra Sunarti Tyara Puspaningrum Yazid Bindar Yazid Bindar