ANALISIS DEGRADASI DAN DEPRESIASI SUMBERDAYA IKAN DEMERSAL PADA PERIKANAN DOGOL DI PERAIRAN SELAT SUNDA (Degradation and Depreciation Analysis of Demersal Fish Resources on Dogol Fisheries in Sunda Strait)

ABSTRACT Dogol is one type of fishing gear which is operated by fisherman in Sunda Strait with demersal fishes as dominant catches, such as goatfish, threadfin brean, ponyfish, Indian halibut and drums.The utilization was done throughout the year and without control can lead to overfishing. The aim of this research is to estimate degradation and the depreciation rate of demersal fish resources of dogol fisheries in Sunda Strait. This research was conducted on February until July 2014 in Coastal Fishing Port (PPP) Labuan, Pandeglang, Banten. Data was collected through interview and questionnaire methods to dogol fisherman and other stakeholders, as well as time series data from Ministry of Marine Affairs Pandeglang district. The results showed that the average value of degradation and depreciation rate of demersal fish resources were 0,26-0,42 and 0,26-0,43 respectively. Those values still below 0,5, it means that demersal fish resources on dogol fisheries in Sunda Strait has not been degraded and depreciation. But, the CPUE values tended to decrease, so was needed preventive action, such as restriction of fishing effort and increase the mesh size to preserve the sustainability of demersal fish resources. Keywords: Degradation, demersal fish, depreciation, dogol, Sunda Strait ABSTRAK Dogol merupakan salah satu jenis alat tangkap yang dioperasikan oleh nelayan di Perairan Selat Sunda dengan hasil tangkapan dominan yaitu ikan demersal seperti ikan biji nangka, kurisi, peperek, sebelah dan tigawaja. Kegiatan pemanfaatan yang dilakukan sepanjang tahun dengan tidak adanya pengontrolan dapat mengakibatkan tangkap lebih. Tujuan penelitian ini adalah untuk mengetahui laju degradasi dan laju depresiasi sumberdaya ikan demersal pada perikanan dogol di Perairan Selat Sunda. Penelitian dilaksanakan pada bulan Februari hingga Juli 2014 di Pelabuhan Perikanan Pantai (PPP) Labuan, Pandeglang, Banten. Pengumpulan data dilakukan melalui metode wawancara dan kuisioner terhadap nelayan dogol dan stakeholder lainnya serta data time series perikanan tangkap DKP Kabupaten Pandeglang. Hasil menunjukkan bahwa sumberdaya ikan demersal memiliki pola produksi yang berfluktuasi. Rata-rata nilai koefisien degradasi dan depresiasi sumberdaya ikan demersal adalah 0,26-0,42 dan 0,26-0,43 secara berurutan. Nilai-nilai tersebut masih dibawah 0,5, artinya sumberdaya ikan demersal pada perikanan dogol di Perairan Selat Sunda diduga belum mengalami degradasi dan depresiasi. Namun, nilai CPUE cenderung mengalami penurunan, sehingga diperlukan tindakan preventif seperti pembatasan upaya tangkap dan peningkatan ukuran mata jaring untuk menjaga kelestarian sumberdaya ikan demersal. Kata kunci: Degradasi, ikan demersal, depresiasi, dogol, Selat Sunda

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Estimasi hasil tangkapan maksimum ekonomi sumberdaya ikan pelagis di perairan Laut Kabupaten Tojo Una-Una, Indonesia

DEPIK ◽

10.13170/depik.9.3.18165 ◽

2020 ◽

Vol 9 (3) ◽

pp. 492-500

Author(s):

Alimudin Laapo ◽

Dafina Howara ◽

Marhawati Mappatoba

Keyword(s):

Time Series ◽

Time Series Data ◽

Fishing Effort ◽

Economic Benefits ◽

Pelagic Fish ◽

Production Model ◽

Series Data ◽

Small Pelagic Fish ◽

Fish Resources ◽

Maximum Economic Yield

The marine area of Tojo Una-Una District has the potential for fishery resources and small islands resources which are used for fishery activities and marine ecotourism. Although most of its territorial waters are a conservation area of the Togean Islands National Park (TINP), in the utilization of fish resources in this area, some still use destructive tools that threaten the habitat and preserve of pelagic fish resources and the economic sustainability of local communities. This study aims to estimate the maximum economic potential of the catch and the level of utilization of pelagic fish resources in Tojo Una-Una district’s sea waters. The research data used combines time-series data from pelagic fish catches and fishing effort (trips) from 2003 to 2015, field survey data, and analyzed using the Gordon-Schaefer Bioeconomic Model approach or the Surplus Production Model. The estimation results show that the total maximum economic Yield (MEY) of pelagic fish resources in the waters of Tojo Una-Una District is quite large, namely 14,950.54 tons per year. Although the potential level of economic utilization of large pelagic fish resources is higher than the use of small pelagic fish, the potential economic rent obtained from the use of small pelagic fish is still higher than that of large pelagic fish. Given that the utilization of pelagic fish resources in the waters of Tojo Una-Una District is under MEY, a careful addition to the capacity of the fishing effort is needed to increase the economic benefits of fish resources for fishermen and the region.Keywords:Estimation,Maximum Economic Yield Pelagic FishABSTRAKWilayah perairan laut Kabupaten Tojo Una-Una memiliki potensi sumberdaya perikanan dan sumberdaya pulau-pulau kecil yang dimanfaatkan untuk kegiatan perikanan dan ekowisata bahari. Wilayah perairan Kabupaten Tojo Una-Una sebagian besar merupakan kawasan konservasi Taman Nasional Kepulauan Togean (TNKT), namun dalam pemanfaatan sumberdaya ikan di wilayah ini masih ada yang menggunakan alat yang sifatnya destruktif sehingga mengancam habitat, kelestarian sumberdaya ikan pelagis dan keberlanjutan ekonomi masyarakat lokal. Penelitian ini bertujuan untuk mengestimasi potensi ekonomi maksimum hasil tangkapan dan tingkat pemanfaatan sumberdaya ikan pelagis di perairan laut kabupaten Tojo Una-Una. Analisis data dilakukan dengan menggabungkan data time-series hasil tangkapan ikan pelagis dan upaya tangkap (trip) dari tahun 2003 hingga 2015. Data survei lapangan dianalisis dengan menggunakan pendekatan Model Bioekonomi Gordon-Schaefer atau Model Produksi Surplus. Hasil analisis menunjukkan bahwa total tangkapan maksimum ekonomi (MEY) sumberdaya ikan pelagis di perairan Kabupaten Tojo Una-Una mencapai 14.950,54 ton per tahun. Namun demikian, potensi tingkat pemanfaatan secara ekonomi sumberdaya ikan pelagis besar lebih tinggi dibanding pemanfaatan ikan pelagis kecil, meskipun potensi rente ekonomi yang diperoleh dari pemanfaatan ikan pelagis kecil masih lebih tinggi dibanding ikan pelagis besar. Kesimpulannya, pemanfaatan sumberdaya ikan pelagis di wilayah perairan Kabupaten Tojo Una-Una berada di bawah MEY, maka penambahan secara hati-hati kapasitas upaya tangkap diperlukan untuk meningkatkan manfaat ekonomi sumberdaya ikan bagi nelayan dan daerah.Kata kunci:Estimasi, Hasil ekonomi maksimum,Ikan Pelagis

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Prediction and Analysis of Gold Prices using Ensemble Machine Learning Algorithms

International Journal for Research in Applied Science and Engineering Technology ◽

10.22214/ijraset.2021.36028 ◽

2021 ◽

Vol 9 (VI) ◽

pp. 4367-4374

Author(s):

Gudipally Chandrashakar

Keyword(s):

Machine Learning ◽

Time Series ◽

Time Series Data ◽

Gold Price ◽

Machine Learning Algorithms ◽

Series Data ◽

Gradient Boosting ◽

Support Vector ◽

Average Value ◽

Ensemble Machine Learning

In this article, we used historical time series data up to the current day gold price. In this study of predicting gold price, we consider few correlating factors like silver price, copper price, standard, and poor’s 500 value, dollar-rupee exchange rate, Dow Jones Industrial Average Value. Considering the prices of every correlating factor and gold price data where dates ranging from 2008 January to 2021 February. Few algorithms of machine learning are used to analyze the time-series data are Random Forest Regression, Support Vector Regressor, Linear Regressor, ExtraTrees Regressor and Gradient boosting Regression. While seeing the results the Extra Tree Regressor algorithm gives the predicted value of gold prices more accurately.

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Fishing seasons of fish landed at Sungailiat Archipelago Fishing Port in Bangka Regency

E3S Web of Conferences ◽

10.1051/e3sconf/20184706008 ◽

2018 ◽

Vol 47 ◽

pp. 06008 ◽

Cited By ~ 1

Author(s):

Fauziyah ◽

Fitri Agustriani ◽

Desi Melda Situmorang ◽

Yuliyanto Suteja

Keyword(s):

Time Series ◽

Average Method ◽

Time Series Data ◽

Moving Average ◽

Demersal Fish ◽

Series Data ◽

Fishing Industry ◽

Industry Development ◽

Fishing Season ◽

Spanish Mackerel

The fish landed at the Archipelago Fishing Port of Sungailiat is an important aspect for the fishing industry development. One of the factors that influence the sustainability of capture fisheries is optimal fishing operation. Fishing season index can be used to determine an appropriate time in perform of fishing operations. The objective of this research is to determine fishing season pattern of pelagic and demersal fish in the Archipelago Fishing Port of Sungailiat. Time series data on catch and fishing efforts (2006-2015) collected from Sungailiat Archipelago Fishing Port were used to calculate monthly CPUEs and then analysed using moving average method to obtain fishing season index for each month. This results showed that the peak fishing season of eastern little tuna and Barre spanish mackerel occur for 4 months with the best peak season respectively in October and April. The peak fishing season of Yelowstripe Scad, Tile Trevally, Terpedo Scad, sharks and Grouper occur for 5 months with the best peak season respectively in October, May, January, April, and February. The peak fishing season of Marine catfish and Black pomfret occur for 6 months with the best peak season respectively in January and October. While the peak fishing season of Ray occur for 8 months with the best peak season in October.

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Study on The Physical Characteristics and Hydrology of 15 Watershed in East Java

Forum Geografi ◽

10.23917/forgeo.v27i2.2374 ◽

2013 ◽

Vol 27 (2) ◽

pp. 159

Author(s):

Indarto Indarto

Keyword(s):

Time Series ◽

Time Series Data ◽

Daily Rainfall ◽

Study Data ◽

Series Data ◽

Simple Arithmetic ◽

Discharge Data ◽

Average Value ◽

Physical Data ◽

Areal Rainfall

The study demonstrated the application of statistical method to describe physical and hydro-meteorological characteristics by means of time series analysis. Fifteen(15) watersheds in East Java were selected for this study. Data input for the analysis include: physical data, rainfall and discharge. Physical data of the watershed (topography, river network, land use, and soil type) are extracted from existing database and treated using GIS Software. Daily rainfall data were collected from existing pluviometers around the region. Daily discharge data were obtained from measurement station located at the outlet of each watershed. Areal Rainfall for each watershed was determined using average value of existing pluviometers around the watershed and determined using simple arithmetic method. These time series data are then imported to RAP (River Analysis Package). Analysis on the RAP, include: general statistical, flow duration curve (FDC), and baseflow analysis. The result then presented in graphic and tables. Research shows that among the watersheds have different physical and hydrological characteristics.

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Prediksi Emisi CO2 dengan Analisis Runtun Waktu

SPECTA Journal of Technology ◽

10.35718/specta.v1i1.72 ◽

2019 ◽

Vol 1 (1) ◽

pp. 22-16

Author(s):

Primadina Hasanah ◽

Irma Fitria

Keyword(s):

Time Series ◽

Global Warming ◽

Co2 Emission ◽

Time Series Data ◽

Moving Average ◽

Exponential Smoothing ◽

Series Data ◽

Average Value ◽

Trend Component

Global warming is caused by various factors, one of them is the emission of CO2. Time series data of CO2 emission will be analyzed using moving average and exponential smoothing to forecast the CO2 emission of the period ahead. Both models provide estimates of forecasting based on the average value of the previous data and can be used for forecasting time series data containing trend component. The best models are selected based on the smallest error value based on the criteria of MAPE, MSD, and MAD

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PERBANDINGAN PERAMALAN INFLASI KOTA DENPASAR MENGGUNAKAN METODE FUZZY TIME SERIES DAN MULTILAYER PERCEPTRON

Jurnal Teknologi Informasi dan Komputer ◽

10.36002/jutik.v5i3.801 ◽

2019 ◽

Vol 5 (3) ◽

Author(s):

I Nyoman Purnama ◽

Putu Trisna Hady Permana

Keyword(s):

Time Series ◽

Multilayer Perceptron ◽

Time Series Data ◽

Consumer Price Index ◽

Fuzzy Time Series ◽

Series Data ◽

Initial Interval ◽

Average Value ◽

Goods And Services ◽

Hidden Layer

ABSTRACT Inflation is one of the indicator to see the economic stability of a region, which shows the development of prices of goods and services in general, calculated from the consumer price index. One way to control inflation is to use forecasts. In this study, fuzzy time series (FTS) and Multilayer perceptron (MLP) forecasting methods are used. Both of these methods will be used for forecasting with time series data. This experiment use data collected from year calendar inflation data from the Bali Central Statistics Agency in the city of Denpasar. This method will be applied to the inflation rate data for years 1990-2016. In this forecasting experiment, the Fuzzy time series actual data will be changed to the percentage change shape to determine the set of universes, determine the initial interval, determine the fuzzy interval, calculate the predicted value of the percentage and make a forecast. Forecasting results with the FTS method obtained an average value of MSE of 6.09. While the Multilayer Perceptron method, the data used in this study are 27 calendar year inflation data, of which 18 data are used in the training process and 18 data are used for the testing process. In this study, 9: 6: 1 architecture is used, where the input to the perceptron network is 9, the hidden layer is 6 pieces and 1 output. From the calculation obtained forecasting with an average MSE value of 9.8. Based on the value of the error obtained, FTS provides better forecasting results than MLP. Keywords: Inflation,Multilayer Perceptron, Fuzzy Time Series. ABSTRAK Inflasi adalah salah satu indikator untuk melihat stabilitas ekonomi suatu wilayah atau daerah, yang menunjukkan perkembangan harga barang dan jasa secara umum yang dihitung dari indeks harga konsumen. Salah satu cara untuk mengendalikan inflasi adalah dengan menggunakan ramalan. Pada penelitian ini digunakan metode peramalan fuzzy time series(FTS) dan Multilayer perceptron(MLP). Kedua metode ini akan digunakan untuk melakukan peramalan dengan data runtutan (time series). Dimana data yang digunakan bersumber dari data inflasi tahun kalender dari Badan Pusat Statistik provinsi Bali di kota Denpasar. Metode ini akan diterapkan pada data laju inflasi tahun 1990-2016. Pada peramalan dengan metode Fuzzy time series data actual akan dirubah kebentuk persentase perubahan untuk menentukan himpunan semesta, menentukan interval awal, menentukan interval fuzzy, menghitung nilai prediksi persentase perubahan dan melakukan peramalan. Hasil peramalan dengan metode FTS diperoleh nilai rata-rata MSE sebesar 6,09. Sedangan pada metode Multilayer Perceptron, data yang digunakan pada penelitian ini adalah data inflasi tahun kalender sebanyak 27 data, dimana 18 data digunakan dalam proses testing dan 18 data digunakan untuk proses testing. Pada penelitian ini digunakan arsitektur 9:6:1, dimana input ke jaringan perceptron sebesar 9, layer tersembunyi sebanyak 6 buah dan 1 buah output. Dari hasil perhitungan didapatkan hasil peramalan dengan rata-rata nilai MSE sebesar 9,8. Berdasarkan nilai kesalahan/MSE yang diperoleh, FTS memberikan hasil peramalan yang lebih baik dibandingkan MLP. Kata Kunci : Inflasi, Multilayer Perceptron, Fuzzy Time Series.

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Graphical Exploratory Data Analysis for Categorical Longitudinal and Time Series Data

PsycEXTRA Dataset ◽

10.1037/e634372013-001 ◽

2013 ◽

Author(s):

Stephen J. Tueller ◽

Richard A. Van Dorn ◽

Georgiy Bobashev ◽

Barry Eggleston

Keyword(s):

Time Series ◽

Data Analysis ◽

Exploratory Data Analysis ◽

Time Series Data ◽

Series Data ◽

Exploratory Data

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Faktor-Faktor Yang Mempengaruhi Nilai Tukar Dollar Amerika Serikat Terhadap Rupiah Tahun 2000–2013

Jurnal Riset Manajemen Sekolah Tinggi Ilmu Ekonomi Widya Wiwaha Program Magister Manajemen ◽

10.32477/jrm.v1i2.72 ◽

2017 ◽

Vol 1 (2) ◽

pp. 177-191

Author(s):

Rizki Rahma Kusumadewi ◽

Wahyu Widayat

Keyword(s):

Time Series ◽

Exchange Rate ◽

Money Supply ◽

Time Series Data ◽

The United States ◽

Economic Conditions ◽

Series Data ◽

Arch Model ◽

United States Dollar ◽

The Exchange Rate

Exchange rate is one tool to measure a country’s economic conditions. The growth of a stable currency value indicates that the country has a relatively good economic conditions or stable. This study has the purpose to analyze the factors that affect the exchange rate of the Indonesian Rupiah against the United States Dollar in the period of 2000-2013. The data used in this study is a secondary data which are time series data, made up of exports, imports, inflation, the BI rate, Gross Domestic Product (GDP), and the money supply (M1) in the quarter base, from first quarter on 2000 to fourth quarter on 2013. Regression model time series data used the ARCH-GARCH with ARCH model selection indicates that the variables that significantly influence the exchange rate are exports, inflation, the central bank rate and the money supply (M1). Whereas import and GDP did not give any influence.

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