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All Journal Sains Akuakultur Tropis : Indonesian Journal of Tropical Aquaculture Jurnal Informatika Ekonomi Bisnis
Zuhdi, Imam
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Agriculture, Biological Sciences & Forestry Economics, Econometrics & Finance

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Kajian pemanfaatan pakan maggot (Hermetia illucens) sebagai pakan alternatif terhadap pertumbuhan benih ikan gabus (Channa striata) Zuhdi, Imam; Prasetiyo, Himawan; Sasongko, Agung Setyo
Sains Akuakultur Tropis : Indonesian Journal of Tropical Aquaculture Vol 8, No 1 (2024): SAT edisi Maret
Publisher : Departemen Akuakultur FPIK UNDIP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/sat.v8i1.21691

Abstract

Research on the utilization of maggot feed (Hermetia illucens) as an alternative feed for the growth of snakehead fish (Channa striata) fry is rarely conducted until now. Therefore, observation of using maggot feed in this research is necessary to obtain the appropriate usage techniques. This study aims to determine the effect of adding maggot feed (H. illucens) on the growth of snakehead fish fry (C. striata). The research follows a completely randomized design (CRD) with 4 treatments and 1 replication. The treatments in this study consist of Treatment 1 as the control with 100% commercial feed, Treatment 2 with 25% maggot meal and 75% commercial feed, Treatment 3 with 50% maggot meal and 50% commercial feed, and Treatment 4 with 75% maggot meal and 25% commercial feed. The size of the snakehead fish fry is 5-7 cm, and they are placed in Container Boxes with a stocking density of 10 fish per treatment. Test feeds for Treatments B, C, and D are prepared by mixing commercial feed and 1% egg white as a binder, while the control feed is prepared using 100% maggot feed with egg white. The test fish are reared for 28 days and fed the test feed three times a day. The research parameters consist of specific growth rate (SGR), absolute weight growth, absolute length growth, and fish feed conversion ratio (FCR). The provision of maggot feed with good content results in optimum growth of snakehead fish fry. The optimum results are obtained in Treatment C.
Data Mining menggunakan Metode Rough Set dalam Memprediksi Tingkat Penjualan Peralatan Komputer Zuhdi, Imam
Jurnal Informatika Ekonomi Bisnis Vol. 4, No. 4 (December 2022)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (409.743 KB) | DOI: 10.37034/infeb.v4i4.159

Abstract

Data mining is a job in the form of collecting and using data to get a rule, pattern, or relationship in large data. The output of this data mining can be used to facilitate future decision-making. The purpose of this study is to predict the level of sales of computer equipment to make it easier for sellers to meet consumer needs. The data processed in this study include several factors which will later be included in the Roughtset method. The method used is a Rough set. Factors include the name of goods, warranty, price, and level of sales. These factors will later be grouped in the Equivalence Class, where the same attribute values ​​will be grouped. Then proceed to the next stage, namely the Discernibility Matrix which contains a collection of condition attributes that have different condition values. After that, proceed to the Discernibility Matrix Modulo D stage where the columns in the matrix are filled with a collection of condition attributes that have different conditions and different decision values. The next stage is Reduction, which is how to get the condition attributes used to get output in the form of knowledge. The last stage is knowledge which is the result of the reduction obtained. Then the results of the rough set application will be entered into the Rosetta application. The results obtained using the rough set method on 10 samples of computer equipment sales data, obtained 17 new rules or knowledge that can be used as guidelines in decision making to identify the level of computer sales.
Co-Authors Agung Setyo Sasongko Prasetiyo, Himawan