scholarly journals Aquaculture Production Optimization Model of Brebes Regency

2019 ◽  
Vol 2 (3) ◽  
pp. 512-523
Author(s):  
Diah Safitri ◽  
Sucihatiningsih Dian Wisika Prajanti
Keyword(s):  
Optimization Model ◽  
Production Optimization ◽  
Production Factor ◽  
Primary Data ◽  
Maximum Profit ◽  
Decision Variables ◽  
Constraint Variable ◽  
The Government ◽  
Programming Analysis ◽  
Aquaculture Production

The purpose of this study was to determine the combination of aquaculture production in Brebes District and to know the intervals that might occur in variables so that the optimization model can still be used. The research variable consists of decision variables, namely the amount of aquaculture commodities that must be produced to achieve maximum profit. The commodities in question are shrimp, tilapia, catfish, milkfish, and seaweed. The constraint variable is the production factor used in aquaculture activities, including land, seeds, feed and fertilizer, and operational costs. The method of data analysis in this study uses Linear Programming analysis and sensitivity analysis. The type of data used is primary data from interviews with aquaculture households in Brebes District. The results showed the maximum profit from aquaculture production in Brebes District can be obtained when the number of vaname shrimp produced was 975,383.5 kg, catfish as much as 1,985,898 kg, milkfish as much as 885,986.6 kg, and seaweed as much as 2,532,448 kg. From the combination of aquaculture production, it can be seen that the maximum amount of profit obtained is Rp. 111,590,500,000 for one cultivation cycle. Suggestions: 1) strengthen the institutional household of aquaculture. 2) The government is expected to provide direction and incentives to cultivation FHs related to achieving production combination targets that produce maximum profits. 3) In the future, it is hoped that the related offices can have a more complete database on the fisheries sector, so that the analysis carried out has accurate results. Tujuan penelitian ini adalah mengetahui kombinasi produksi perikanan budidaya di Kecamatan Brebes serta mengetahui intervalperubahan yang mungkin terjadi pada variabel sehingga model optimasi masih dapat digubakan. Variabel penelitian terdiri dari variabel keputusan yaitu jumlah komoditas perikanan budidaya yang harus diproduksi untuk mencapai keuntungan maksimal. Adapun komoditas yang dimaksud adalah udang, nila, lele, bandeng, dan rumput laut. Variabel kendala adalah faktor produksi yang digunakan dalam kegiatan budidaya, diantaranya adalah lahan, bibit, pakan danpupuk, dan biaya operasional. Metode analisis data dalam penelitian ini menggunakan analisis program linear dan analisis sensitivitas. Jenis data yang digunakan adalah data primer dari hasil wawancara dengan rumah tangga perikanan budidaya di Kecamatan Brebes. Hasil penelitian menunjukkan euntungan maksimal dari produksi perikanan budidaya di Kecamatan Brebes dapat diperoleh ketika jumlah udang vaname yang diproduksi sebanyak 975.383,5 kg, lele sebanyak 1.985.898 kg, bandeng sebanyak 885.986,6 kg, dan rumput laut sebanyak 2.532.448 kg. Dari kombinasi produksi perikanan budidaya tersebut, dapat diketahui jumlah keuntungan maksimum yang diperoleh sebesar Rp. 111.590.500.000 untuk satu siklus budidaya. Saran: 1) memperkuat kelembagaan rumah tangga perikanan budidaya. 2) Pemerintah diharapkan memberikan arahan dan insentif kepada RTP budidaya terkait pencapaian target kombinasi produksi yang menghasilkan keuntungan maksimum. 3)Kedepannya diharapkan dinas terkait dapat memiliki database mengenai sektor perikanan yang lebih lengkap, sehingga analisis yang dilakukan memiliki hasil yang akurat.

scholarly journals KOMBINASI PRODUKSI OPTIMAL PADA PRODUK UD. SERAYU PEJATEN TABANAN

2021 ◽  
Vol 10 (8) ◽  
pp. 759
Author(s):  
I Putu Pujanam Surya Buana ◽  
Ni Ketut Purnawati
Keyword(s):  
Linear Programming ◽  
Optimal Number ◽  
Production Optimization ◽  
Net Income ◽  
Optimal Production ◽  
Maximum Profit ◽  
Net Profit ◽  
Before And After ◽  
Production Strategy ◽  
Programming Analysis

Production planning is series of activities to determine a production strategy to meet consumer demand. An optimal production resulting in maximum profit. The purpose of this study is to determine the optimal production combination at UD. Serayu in Pejaten Village, Kerambitan District, Tabanan Regency. This study uses linear programming analysis and analysis of calculating business net income. Based on the results of linear programming analysis using POMQM for Windows, the company's optimal production combination are 30,000 units, Terracotta Bricks 4,536 units, Pressed Roof Tile 24,600 units and Bubungan (roof) 20,400 units. The net profit generated for one month is Rp. 71,208,038.02 while the net profit generated by producing the optimal number of product combinations is Rp. 75,849,726.02. Linear programming analysis helps companies determine the optimal production combination for limited resources and analysis of net profit helps to compare operating profits before and after the optimal production combination. Keywords: production optimization, linear programming, maximum profit

scholarly journals ANALISIS FAKTOR PRODUKSI YANG MEMPENGARUHI PRODUKSI KOPRA DI KECAMATAN TOMOHON BARAT

2018 ◽  
Vol 14 (3) ◽  
pp. 17
Author(s):  
Karouw Randy Alfredts Zwingly ◽  
Tommy F. Lolowang ◽  
Lyndon R. J. Pangemanan
Keyword(s):  
Production Function ◽  
Direct Observation ◽  
Survey Methods ◽  
Plant Population ◽  
Production Factor ◽  
Primary Data ◽  
Plant Populations ◽  
Production Factors ◽  
Maximum Profit ◽  
Douglas Production Function

This study aims to: (1) identify production factors that influence copra production and (2) analyze the elasticity of copra production factors from copra-producing farmers in West Tomohon District. This research was conducted from January to April 2017. The data used were primary data obtained by survey methods through direct observation and interviews with copra farmers. Data were analyzed using Cobb-Douglas production function. The results showed that (1) factors of production of planting area, plant population, outpouring of labor, amount of equipment, and experience used by copra-producing farmers in Tomohon Barat Sub-district jointly affected copra production but separately influential production factors real and positive for copra production, namely planting area, plant population, and outpouring of labor. Based on the scale of results which show increasing return to scale indicates that farmers are still able to obtain profitable production from a number of added production factors. (2) Based on the level of elasticity of production factors that are positive and more than one. This indicates that the use of planted area production factors, plant populations, and labor has not been efficient because it has not reached maximum profit. Each addition of the production factor resulted in an increase in copra production which continued to increase, while the use of production factors the number of equipment and experience showed a negative value indicating that the use of production factors is inefficient because the production will produce less copra even though the use of production factors is more. *jnkd*.

scholarly journals Potency and Strategy of Aquaculture Development in Rokan Hilir Regency, Province of Riau, Indonesia

2021 ◽  
Vol 934 (1) ◽  
pp. 012035
Author(s):  
I Effendi ◽  
E Elizal ◽  
D Zargustin ◽  
W D Listihana ◽  
R Wiyati ◽  
...  
Keyword(s):  
Pacific White Shrimp ◽  
White Shrimp ◽  
Primary Data ◽  
African Catfish ◽  
Fish Production ◽  
Marine Aquaculture ◽  
Freshwater Aquaculture ◽  
The Government ◽  
Net Cages ◽  
Aquaculture Production

Abstract Rokan Hilir Regency is situated east coast of Sumatera in Riau Province. Fish production of the area dominated by capture fisheries (80.67%) compared to aquaculture production (19.33%), however, there is a demand for strengthening the role of aquacuture. This study aimed to analyze the prospects and strategies for developing aquaculture in this area. Primary data was obtained by measuring of water quality, observations of aquaculture objects and other supporting facilities. Interviews and discussion were conducted with fish farmers, community leaders, the fishing industry, local government officials and other stakeholders. Secondary data were obtained from government and private institutions. This area has the potential for freshwater aquaculture of 102.80 ha, brackishwater aquaculture of 3,049.25 ha, and marine aquaculture of 118.330 ha. In 2019, aquaculture only utilized an area of around 2,879,107 ha, including 47,107 ha of freshwater (ponds), 10 ha of brackish, and 2,822 ha of shellfish ponds. Aquaculture production in 2019 was 15,006.34 tons consisting of fish production from ponds (blood clams and shrimp) 9,009.34 tons which was the main production, followed by fish production from ponds of 5,997 tons. In coastal waters, it is recommended to cultivate blood cockles and Pacific white shrimp (Litopenaeus vannamei). While in inland waters, the recommended fish culture included tilapia (Oreochromis niloticus), striped catfish (Pangasianodon sp), kissing gouramy (Osphronemus sp), and African catfish (Clarias gariepenus), both in ponds and floating net cages. The recommended development strategies include; training on aquaculture human resources, training on making their own feed, building seed and brood centers, and providing business stimulants in the form of seeds, making ponds and floating net cages as well as sustainable guidance from the fisheries industry and the government.

Klasifikasi Tahap Kematangan Pisang Ambon Berdasarkan Warna Menggunakan Naive Bayes

2018 ◽  
Vol 5 (2) ◽  
pp. 60-67 ◽  
Author(s):  
Dwi Yulianto ◽  
Retno Nugroho Whidhiasih ◽  
Maimunah Maimunah
Keyword(s):  
Naive Bayes ◽  
Fruit Production ◽  
Naïve Bayes ◽  
Primary Data ◽  
Banana Fruit ◽  
Bayes Method ◽  
Classification Image ◽  
Average Accuracy ◽  
The Government

ABSTRACT   Banana fruit is a commodity that contributes a great value to both national and international fruit production achievement. The government through the National Standardization Agency establishes standards to maintain the quality of bananas. The purpose of this Project is to classify the stages of maturity of Ambon banana base on the color index using Naïve Bayes method in accordance with the regulations of SNI 7422:2009. Naive Bayes is used as a method in the classification process by comparing the probability values generated from the variable value of each model to determine the stage of Ambon banana maturity. The data used is the primary data image of 105 pieces of Ambon banana. By using 3 models which consists of different variables obtained the same greatest average accuracy by using the 2nd model which has 9 variable values (r, g, b, v, * a, * b, entropy, energy, and homogeneity) and the 3rd model has 7 variable values (r, g, b, v , * a, entropy and homogeneity) that is 90.48%.   Keywords: banana maturity, classification, image processing     ABSTRAK   Buah pisang merupakan komoditas yang memberikan kontribusi besar terhadap angka produksi buah nasional maupun internasional. Pemerintah melalui Badan Standarisasi Nasional menetapkan standar untuk buah pisang, menjaga mutu  buah pisang. Tujuan dari penelitian ini adalah klasifikasi tahapan kematangan dari buah pisang ambon berdasarkan indeks warna menggunakan metode Naïve Bayes  sesuai dengan SNI 7422:2009. Naive bayes digunakan sebagai metode dalam proses pengklasifikasian dengan cara membandingkan nilai probabilitas yang dihasilkan dari nilai variabel penduga setiap model untuk menentukan tahap kematangan pisang ambon. Data yang digunakan adalah data primer citra pisang ambon sebanyak 105. Dengan menggunakan 3 buah model yang terdiri dari variabel penduga yang berbeda didapatkan akurasi rata-rata terbesar yang sama yaitu dengan menggunakan model ke-2 yang mempunyai 9 nilai variabel (r, g, b, v, *a, *b, entropi, energi, dan homogenitas) dan model ke-3 yang mempunyai 7 nilai variabel (r, g, b, v, *a, entropi dan homogenitas) yaitu sebesar 90.48%.   Kata Kunci : kematangan pisang,  klasifikasi, pengolahan citra

ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI TAX COMPLIANCE TERHADAP PENYAMPAIAN SPT TAHUNAN WAJIB PAJAK ORANG PRIBADI

2019 ◽  
Vol 3 (2) ◽  
pp. 19
Author(s):  
Mela Cyntia Sani ◽  
Khuznatul Zulfa Wafirotin ◽  
Ika Farida Ulfa
Keyword(s):  
Behavioral Control ◽  
Linear Regression Analysis ◽  
Tax Compliance ◽  
Multiple Linear Regression Analysis ◽  
Primary Data ◽  
Analysis Method ◽  
Online Systems ◽  
Tax Returns ◽  
Directorate General ◽  
The Government

Individual Taxpayers (WPOP) experience problems every year due to difficulties in filling out SPT. The Directorate General of Taxes issued a new policy in providing easy Notification Services (SPT) using online systems namely e-Filling and e-SPT. The policy taken by the government turned out that there were still many obstacles faced by the KPP Pratama Ponorogo Tax Office regarding ponorogo's lack of understanding related to filling out SPT manually or online using e-SPT and e-Felling. So that this certainly can make taxpayers object to the submission of Annual Tax Returns, especially in terms of calculating the tax payable which must be calculated on its own. Data collection is done by using primary data in the form of questionnaires. The samples processed in this study were 100 respondents who were distributed to individual taxpayers registered at KPP Pratama Ponorogo. Data analysis method uses validity test and reliability test, hypothesis testing using multiple linear regression analysis. The results of this study indicate that the awareness of taxpayers, taxpayer intentions, taxpayer attitudes, subjective norms, behavioral control and ease of tax return filling process affect Tax Compliance (tax compliance) submission of Annual Tax Returns. This is because taxpayers know, understand and implement taxation provisions correctly and voluntarily so as to increase taxpayer compliance in fulfilling their obligations and are willing to report taxes with their own awareness.

PERANAN INSPEKTORAT KABUPATENSUMENEP DALAM MENCEGAH DAN MENDETEKSI FRAUD DI DINAS PENDIDIKAN SUMENEP

2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Astri Furqani ◽  
Hafidhah .
Keyword(s):  
Local Government ◽  
Qualitative Study ◽  
Asset Management ◽  
Sampling Technique ◽  
Research Data ◽  
Qualitative Approach ◽  
Primary Data ◽  
The Government

In this era, a lot of activities that can not be separated from the practice of cheating or fraud , no exception In the government . Inspektorat Sumenep is the leading institution of internal Local Government in preventing and detecting fraud in the Local Government appropiate Perbup Sumenep No. 29 of 2008 . Dinas Pendidikan Sumenep need attention on the issue . This is due to Dinas Pendidikan Sumenep an agency with the largest number of assets and managing large budgets . These conditions led to the formulation of the problem is How Inspektorat Sumenep role in preventing and detecting fraud in Dinas Pendidikan Sumenep. This study used a qualitative approach in which the focus of this study is Inspektorat role in preventing and detecting fraud at Dinas Pendidikan Sumenep . Primary data obtained by direct interviews with the parties directly related to the determination of the source of research data in a qualitative study using nonprobability sampling . The sampling technique used was purposive sampling . The conclusion of this study, role of the Inspektorat Sumenep in the prevention of fraud in Dinas Pendidikan Sumenep still not maximal . This is due to Inspektorat Sumenep not supervise from the planning / budgeting and not optimal in overseeing and assisting the implementation of the SPIP as an instrument of fraud prevention in Dinas Pendidikan Sumenep . The role of Inspektorat Sumenep in the detection of fraud in Dinas Pendidikan Sumenep done by conducting an audit of financial and asset management in each financial year.Keywords: fraud, government, inspektorat.

MAKSIMASI KEUNTUNGAN USAHA PUKAT CINCIN DI NEGERI LATUHALAT PADA MUSIM TIMUR

2018 ◽  
Vol 2 (1) ◽  
pp. 22-32
Author(s):  
Willem Talakua ◽  
Eygner Gerald Talakua
Keyword(s):  
Linear Programming ◽  
Production Factors ◽  
Maximum Profit ◽  
Analysis Methods ◽  
Profit Analysis ◽  
Business Profit ◽  
Programming Analysis

The purpose of this study is to study the maximization of business profits through the determination of the optimal use of production factors in the trawl ring business in Latuhalat. Observations and direct interviews based on questionnaires were carried out on 3 fishermen who owned trawl ring businesses in 3 hamlets in Latuhalat. Data were analyzed using business profit analysis methods and linear programming analysis. The results showed that: 1). The optimal use of production factors for trawling by the respondents in Latuhalat is 41 - 45 trips in June using 15.2 - 21.1 liters of gasoline, 280.9 - 304.4 liters of gasoline, 10.1 - 21 , 2 liters of oil, using labor as much as 15-17 people for 8 hours / day, and using transportation and FAD services as much as 351.3 - 360 HOK or 8 hours per day; and 2). The maximum profit that can be obtained from trawling rings by respondents in Latuhalat is Rp. 165,545,500 - up to Rp. 184,800,000, - in June. To achieve this maximum profit, respondents need to produce 25,270.3 kg of fish to 27,540.98 kg in June.

DAYA SAING DAN PERAN PEMERINTAH DALAM MENINGKATKAN DAYA SAING KOMODITI KAKAO DI SULAWESI TENGAH

2017 ◽  
Vol 11 (1) ◽  
pp. 69-96
Author(s):  
Siti Yuliaty Chansa Arfah ◽  
Harianto . ◽  
Suharno .
Keyword(s):  
Policy Analysis ◽  
Government Policy ◽  
Secondary Data ◽  
Research Area ◽  
Primary Data ◽  
Cocoa Beans ◽  
Output Analysis ◽  
The Government ◽  
Central Sulawesi ◽  
Policy Analysis Matrix

Penelitian ini bertujuan untuk mengkaji daya saing komoditi kakao di Sulawesi Tengah dan melihat peran pemerintah dalam meningkatkan daya saing komoditi kakao. Data primer berasal dari observasi, wawancara dan kuesioner, sementara data sekunder berasal dari instansi terkait. Metode analisis menggunakan Policy Analysis Matrix (PAM) dan analisis sensitivitas. Penelitian ini menemukan bahwa nilai PCR Kabupaten Parigi Moutong 0,589 dan Kabupaten Sigi 0,396. Sedangkan nilai DRC Kabupaten Parigi Moutong 0,387 dan Kabupaten Sigi 0,319. Hal tersebut mengindikasikan bahwa usahatani komoditi kakao di Sulawesi Tengah memiliki daya saing, namun tidak menguntungkan secara ekonomi karena Sulawesi Tengah menghasilkan biji kakao yang tidak difermentasi akibatnya petani menerima harga rendah. Berdasarkan hasil analisis, pemerintah belum memberikan proteksi terhadap harga biji kakao dalam negeri melalui harga referensi biji kakao sehingga harga biji kakao didaerah penelitian masih tergolong rendah jika dibandingkan dengan harga di pasar internasional. Sementara terhadap input, pemerintah telah memberikan kebijakan subsidi kepada petani, namun implementasinya masih perlu perbaikan terutama terkait penyaluran dan pengelolaan bantuan agar merata. Kajian ini merekomendasikan masih diperlukan kebijakan pemerintah baik terhadap input maupun output untuk meningkatkan produktivitas, menurunkan biaya produksi dan menaikkan harga jual biji kakao, sehingga dapat meningkatkan daya saing biji kakao. The purpose of this study is to assess the competitiveness of cocoa in Central Sulawesi and to investigate the role of government in improving the competitiveness of cocoa. The primary data were generated through observation, interviews and some questionnaires. The secondary data were obtained from the agency or the institution related to the research. This study uses the Policy Analysis Matrix (PAM) and sensitivity analysis. The study found that the PCR value for Parigi Moutong district was 0.589 and Sigi district was 0.396. While, the DRC value for Parigi Moutong district was 0.387 and Sigi district was 0.319. This indicates that cocoa beans farming in Central Sulawesi has competitiveness, but not economically beneficial because Central Sulawesi produces unfermented cocoa beans consequently farmers receive low prices. Based on the results of the government's impact on output analysis, the government did not provide protection for domestic cocoa seed prices through the reference price of cocoa beans, consequently the price of domestic cocoa beans, particularly in the research area, was relatively low compared to the price of cocoa beans at the international market. Seen from the government policy on inputs, the government have provided subsidies to farmers but they need to improve the distribution and management of aid to be evenly distributed. It is necessary to set up good government policy on inputs and outputs in order to increase cocoa seed productivity, decrease production cost and increase the price which simultaneously can improve its competitiveness in the research location.

scholarly journals A Fuzzy Optimization Model for the Berth Allocation Problem and Quay Crane Allocation Problem (BAP + QCAP) with n Quays

2021 ◽  
Vol 9 (2) ◽  
pp. 152
Author(s):  
Edwar Lujan ◽  
Edmundo Vergara ◽  
Jose Rodriguez-Melquiades ◽  
Miguel Jiménez-Carrión ◽  
Carlos Sabino-Escobar ◽  
...  
Keyword(s):  
Optimization Model ◽  
Fuzzy Optimization ◽  
Optimal Solution ◽  
Allocation Problem ◽  
Berth Allocation ◽  
Triangular Fuzzy Numbers ◽  
Berth Allocation Problem ◽  
Arrival Times ◽  
Decision Variables ◽  
Short Time

This work introduces a fuzzy optimization model, which solves in an integrated way the berth allocation problem (BAP) and the quay crane allocation problem (QCAP). The problem is solved for multiple quays, considering vessels’ imprecise arrival times. The model optimizes the use of the quays. The BAP + QCAP, is a NP-hard (Non-deterministic polynomial-time hardness) combinatorial optimization problem, where the decision to assign available quays for each vessel adds more complexity. The imprecise vessel arrival times and the decision variables—berth and departure times—are represented by triangular fuzzy numbers. The model obtains a robust berthing plan that supports early and late arrivals and also assigns cranes to each berth vessel. The model was implemented in the CPLEX solver (IBM ILOG CPLEX Optimization Studio); obtaining in a short time an optimal solution for very small instances. For medium instances, an undefined behavior was found, where a solution (optimal or not) may be found. For large instances, no solutions were found during the assigned processing time (60 min). Although the model was applied for n = 2 quays, it can be adapted to “n” quays. For medium and large instances, the model must be solved with metaheuristics.

scholarly journals Comparison of Selection Signatures between Korean Native and Commercial Chickens Using 600K SNP Array Data

Genes ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 824
Author(s):  
Sunghyun Cho ◽  
Prabuddha Manjula ◽  
Minjun Kim ◽  
Eunjin Cho ◽  
Dooho Lee ◽  
...  
Keyword(s):  
Snp Array ◽  
Initial Step ◽  
Reproductive Organs ◽  
High Linkage Disequilibrium ◽  
Primary Data ◽  
Multiple Traits ◽  
Indigenous Chicken ◽  
Primary Data Analysis ◽  
The Government ◽  
Commercial Chickens

Korean native chickens (KNCs) comprise an indigenous chicken breed of South Korea that was restored through a government project in the 1990s. The KNC population has not been developed well and has mostly been used to maintain purebred populations in the government research institution. We investigated the genetic features of the KNC population in a selection signal study for the efficient improvement of this breed. We used 600K single nucleotide polymorphism data sampled from 191 KNCs (NG, 38; NL, 29; NR, 52; NW, 39; and NY, 33) and 54 commercial chickens (Hy-line Brown, 10; Lohmann Brown, 10; Arbor Acres, 10; Cobb, 12; and Ross, 12). Haplotype phasing was performed using EAGLE software as the initial step for the primary data analysis. Pre-processed data were analyzed to detect selection signals using the ‘rehh’ package in R software. A few common signatures of selection were identified in KNCs. Most quantitative trait locus regions identified as candidate regions were associated with traits related to reproductive organs, eggshell characteristics, immunity, and organ development. Block patterns with high linkage disequilibrium values were observed for LPP, IGF11, LMNB2, ERBB4, GABRB2, NTM, APOO, PLOA1, CNTN1, NTSR1, DEF3, CELF1, and MEF2D genes, among regions with confirmed selection signals. NL and NW lines contained a considerable number of selective sweep regions related to broilers and layers, respectively. We recommend focusing on improving the egg and meat traits of KNC NL and NW lines, respectively, while improving multiple traits for the other lines.

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