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University of Lampung
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Electrical & Electronics Engineering Engineering Environmental Science

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DISEASE DIAGNOSIS EXPERT SYSTEM ON FRESHWATER AQUACULTURE FISH USING FORWARD CHAINING ANDROID BASED Ardhika Praseda Ageng Putra; Aristoteles Aristoteles; Rara Diantari
Jurnal Komputasi Vol 4, No 1 (2016)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v4i1.1164

Abstract

Fish disease is undesirable for fish farmers, because it can cause low productivity and high mortality aquaculture. Lack of information on disease prevention methods small number of experts causing many farmers suffered losses. Therefore, an expert system is needed to help diagnose the disease in fish. This system aims to help cultivators on resolve fish disease problem. In this research, expert system based on android was built using Java program language as database, Forward chaining was used. This method used to determine which roles will be executed, then that rule is executed, the process was repeated until we got the result. This system can diagnose 35 diseases from 8 species of fish. The data testing result used Equivalence Partitioning, showed that management rules system can run based on its function and system can diagnose the disease well.   On the other based on questionnaire data, this application is an user friendly application (with average value of 4,29 / excellent). Keywords: Forward Chaining, Freshwater Aquaculture Fish Disease, Expert Systems, Android
Phytoplankton Composition and Water Fertility Status of Lake Ranau, West Lampung Regency, Lampung Province Eko Efendi; Henni Wijayanti Maharani; Putu Cinthia Delis; Rara Diantari
Indonesian Journal of Limnology Vol. 4 No. 2 (2023): Indonesian Journal of Limnology
Publisher : Indonesian Society of Limnology

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51264/inajl.v4i2.42

Abstract

Lake Ranau is the second largest lake on Sumatra Island. This lake has a high potency for fisheries. Fisheries activities carried out in Lake Ranau are fishing and aquaculture activities with nile tilapia (Oreochromis niloticus) as the main commodity. Intensive fish farming activities will cause impacts in the form of waste caused by feces and wasted feed. This waste will increase the nutrient loads that enter the waters, triggering the nutrient enriching phenomenon known as eutrophication. Eutrophication is a process of water enrichment by nutrients, mainly nitrogen and phosphorus, which can change the community structure of phytoplankton in the waters and increase their growth. This study aims to analyze the composition of phytoplankton in the waters of Lake Ranau and to estimate the status of water fertility. Data collected was water quality data and phytoplankton data. Status of water fertility was analyzed using the saprobic index. The results show that the community structure of phytoplankton exhibits values as follows: the diversity index ranging from 1.54–3.08, the uniformity index ranging from 0.46–0.90, and dominance index ranging from 0.06–0.41. The abundance of phytoplankton is dominated by the species Nitzhia sp., Synedra, Diatoma, and Tabellaria (all are from the Bacillariophyceae class). The saprobic index obtained ranges from 0.74–1.26, thus categorized as the ?/?-mesosaprobic phase, meaning the waters of Lake Ranau are lightly polluted by a little load of organic and inorganic matters.
DISEASE DIAGNOSIS EXPERT SYSTEM ON FRESHWATER AQUACULTURE FISH USING FORWARD CHAINING ANDROID BASED Ardhika Praseda Ageng Putra; Aristoteles Aristoteles; Rara Diantari
Jurnal Komputasi Vol. 4 No. 1 (2016)
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v4i1.1164

Abstract

Fish disease is undesirable for fish farmers, because it can cause low productivity and high mortality aquaculture. Lack of information on disease prevention methods small number of experts causing many farmers suffered losses. Therefore, an expert system is needed to help diagnose the disease in fish. This system aims to help cultivators on resolve fish disease problem. In this research, expert system based on android was built using Java program language as database, Forward chaining was used. This method used to determine which roles will be executed, then that rule is executed, the process was repeated until we got the result. This system can diagnose 35 diseases from 8 species of fish. The data testing result used Equivalence Partitioning, showed that management rules system can run based on its function and system can diagnose the disease well.   On the other based on questionnaire data, this application is an user friendly application (with average value of 4,29 / excellent). Keywords: Forward Chaining, Freshwater Aquaculture Fish Disease, Expert Systems, Android
Composition and Diversity of Macrozoobenthos in Seagrass Areas in Pulau Pahawang Village Darma Yuliana; Abdullah Aman Damai; Muhamad Gilang Arindra Putra; Rara Diantari; Nur Afni Afrianti; Inggar Damayanti; Yuliana Saleh; David Julian; Muhammad Reza; Berta Putri
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 4 (2025): August 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtepl.v14i4.1140-1147

Abstract

Seagrass beds, particularly those found in Pulau Pahawang Village, serve as vital marine ecosystems that support diverse marine life. This study aims to investigate the composition and diversity of macrozoobenthos within these seagrass ecosystems. Seagrass and macrozoobenthic data were gathered through a 30 m line transect and 1m×1m. The samples were identified to the species or genus level, and the data were analyzed for composition and diversity using the Shannon-Wiener (H’), Dominance (C), and Evenness (E) indices. To assess the relationship between seagrass cover and macrozoobenthic density, a Pearson correlation test was performed. The seagrass species found is Enhalus acoroides. The macrozoobenthic community found in the seagrass ecosystem consists of 2 classes: 22 Gastropoda and 16 Bivalvia. The diversity index of macrozoobenthos (1.47-2.81) show moderate diversity, with high similarity (0.638–0.917), amd low dominance (0.059–0.265) indicates a balance community. The environmental conditions, including water temperature (30.8°C–31.8°C), salinity (30–31), and dissolved oxygen (5.8–6.8 mg/L), strongly support the growth of seagrasses and macrozoobenthos. This study emphasizes the importance of monitoring water quality and species diversity to ensure the sustainability of the seagrass ecosystem and other in Pulau Pahawang Village.   Keywords: Biodiversity, Enhalus acoroides,  Macrozoobenthos, Seagrass beds, Water quality.
Co-Authors Abdullah Aman Damai Ardhika Praseda Ageng Putra Aristoteles, Aristoteles Berta Putri Darma Yuliana David Julian Eko Efendi Henni Wijayanti Maharani Inggar Damayanti Muhamad Gilang Arindra Putra Muhammad Reza Nur Afni Afrianti Putu Cinthia Delis Yuliana Saleh