scholarly journals OPTIMALISASI USAHATANI SAYUR TUMPANGSARI DI DESA SUKORAMBI KECAMATAN SUKORAMBI KABUPATEN JEMBER

2020 ◽  
Vol 13 (2) ◽  
pp. 125
Author(s):  
Berilisda Jepatrika Dirga Buana ◽  
Anik Suwandari
Keyword(s):  
Linear Programming ◽  
Sampling Technique ◽  
Production Factors ◽  
Maximum Profit ◽  
Maximum Benefit ◽  
Vegetable Farming ◽  
Quota Sampling

The implementation of intercropping systems is considered by farmers to be able to overcome the problem of low productivity and fluctuations in vegetable prices. The purpose of this study was to determine Combination of intercropping vegetable farming that provides maximum benefits. The determination of the study area was carried out using a purposive method. The sampling technique uses quota sampling. The method of analysis uses linear programming. The results showed that (1) the maximum benefit of the intercropping model 1 was obtained by planting green mustard and spinach, the intercropping model 2 planting green mustard, spinach and kale, the intercropping model 3 planting green mustard, spinach and basil, the intercropping model 4 planting spinach, green mustard, marigolds and basil. (2) Rare production factors are spinach land on intercropping models 1, 2, 3 and 4, basil land on intercropping model 4, ZA fertilizer on intercropping model 1, manure on intercropping models 2, 3 and 4, callicron pesticide on intercropping model 2 and 4 as well as the amnistar top pesticides in intercropping model 3. (3) The highest increase in maximum profit conditions is in the intercropping model 4 by 15.7% and the lowest in the intercropping model 1 by 13.6%.

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.

scholarly journals OPTIMASI FAKTOR PRODUKSI UNTUK MAKSIMASI KEUNTUNGAN USAHA BUDI DAYA RUMPUT LAUT DI DESA SATHEAN KECAMATAN KEI KECIL

2017 ◽  
Vol 12 (1) ◽  
pp. 45
Author(s):  
Eygner Talakua
Keyword(s):  
Linear Programming ◽  
Optimal Allocation ◽  
Primary Data ◽  
Seaweed Cultivation ◽  
Working Capital ◽  
Linear Programming Method ◽  
Production Factors ◽  
Maximum Profit ◽  
The Village

Keterbatasan faktor produksi seperti bibit, modal, dan tenaga kerja dalam menjalankan usahabudi daya rumput laut berdampak pada keuntungan yang akan diperoleh. Kondisi ini menuntut pemilikusaha budi daya rumput laut di Desa Sathean harus mampu mengelola usahanya dengan baik, terkaitpenentuan jumlah faktor produksi yang sifatnya terbatas untuk memperoleh keuntungan usaha yangmaksimal. Untuk itu tujuan penelitian ini adalah menganalisis alokasi faktor produksi yang optimaldan mengkaji keuntungan maksimum yang dapat diperoleh pada usaha budi daya rumput laut diDesa Sathean Kecamatan Kei Kecil. Data primer dikumpulkan dari 15 responden melalui wawancarasecara langsung dengan kuesioner dan pengamatan secara langsung terhadap obyek yang diteliti.Data dianalisis menggunakan metode pemrograman linier (linear programming) dan hasil dianalisissecara deskriptif kuantitatif. Hasil penelitian menunjukkan bahwa alokasi faktor produksi yang optimaluntuk tiap kegiatan produksi budi daya rumput laut adalah penggunaan luas area budi daya seluas7.058 m2 atau 0,7058 ha, penggunaan modal kerja sebesar Rp.891.907,1 penggunaan bibit sebanyak157,47 kg, dan penggunaan tenaga kerja sebanyak 1.403 HOK, sehingga dapat memaksimalkankeuntungan yang dapat diperoleh usaha budi daya rumput laut di Desa Sathean Kecamatan Kei Kecilsebesar Rp.5.010.716,- tiap kegiatan produksi budi daya rumput laut.Title: Optimizing Production Factors to Profit Maximize of Seaweed Cultivation in the Sathean Village of Kei Kecil SubdistrictLimitations of production factors such as seeds, capital, and labor in carrying seaweed cultivationimpact on profits to be earned. These conditions require the owner of seaweed cultivation in the SatheanVillage should be able to manage their business well, related to the determination of the amount ofproduction factors that are limited to gain maximum business. For the purpose of this study is to analyzethe optimal allocation of production factors and assess the maximum profit that can be obtained onseaweed cultivation in the Sathean Village of Kei Kecil Subistrict. Primary data was collected from 15respondents through direct interviews with questionnaires and direct observation of the object studied.Data were analyzed using linear programming method and the results were analyzed descriptivelyquantitative. The results showed that the optimal allocation of factors of production for each productionactivity of seaweed cultivation is the use of the area cultivated an area of 7,058 m2 or 0.7058 ha, the useof working capital of 891.907.1 IDR use as much as 157.47 kg of seeds, and the use of labor as many as1,403 HOK, so as to maximize the benefits that can be obtained seaweed cultivation in the village of KeiKecil Sathean District of 5,010,716 IDR,- per activity seaweed cultivation production.

scholarly journals ANALISIS PERILAKU KONSUMEN TERHADAP KOPI TELAPEN PADA ERA NEW NORMAL DI BATUKLIANG UTARA KABUPATEN LOMBOK TENGAH

2021 ◽  
Vol 22 (2) ◽  
pp. 119-133
Author(s):  
Nurul Aini ◽  
Syarif Husni ◽  
Muhamad Siddik
Keyword(s):  
Consumer Behavior ◽  
Decision Process ◽  
Descriptive Analysis ◽  
Sampling Technique ◽  
New Normal ◽  
Attribute Analysis ◽  
Quota Sampling ◽  
Buy Back ◽  
Analytical Tools

This study aims to identify general characteristics, analyze consumer behavior, analyze consumer attitudes, analyze the purchase decision process. telapen coffee in the new normal era in North Batukliang District, Central Lombok Regency. This research uses a descriptive method. Determination of the research location is determined by purposive sampling technique. Determination of the number of consumer samples is determined by the Quota sampling technique of 30 respondents. The analytical tools used in this study are fishbein multi-attribute analysis and subjective normative analysis to measure consumer behavior and attitudes. Descriptive analysis to measure the characteristics and purchasing decision process of telapen coffee consumers. The results of this study indicate that telapen coffee consumers have the possibility to buy back telapen coffee products and have a favorable attitude towards telapen coffee products and feel satisfied with telapen coffee products. Based on the results of these studies should KVWT Kaki Rinjani should be. lower prices to increase coffee demand. telapen. must be able to maintain the attributes that can attract new customers and retain old customers.

scholarly journals ANALISIS PENDAPATAN USAHA TERNAK BABI DI KECAMATAN TOMBULU KABUPATEN MINAHASA

ZOOTEC ◽  
2020 ◽  
Vol 40 (2) ◽  
pp. 471
Author(s):  
Yudi P Sinulingga ◽  
N M Santa ◽  
L S Kalangi ◽  
M A.V Manese
Keyword(s):  
Sampling Method ◽  
Business Models ◽  
Secondary Data ◽  
Sampling Technique ◽  
Social Costs ◽  
Primary Data ◽  
Business Income ◽  
Feed Costs ◽  
Quota Sampling

ANALYSIS OF PIG LIVESTOCK BUSINESS INCOME IN TOMBULU DISTRICT MINAHASA REGENCY. The study was conducted in the Tombulu District of Minahasa Regency for one month from January 2020 to February 2020.The data used in this study were primary data and secondary data. The puposive sampling method was applied to determine the sample location in Tombulu District with the number of breeders in Tombulu District were 30 breeders. Therefore, the determination of the sample applied Total Quota Sampling technique. Pigs livestock business models run by breeders were breeding, fattening, combination, and swine pigs. The result showed models that the dominant pig livestock business in Tombulu District was a combination of breeding and fattening. The income earned from the pig livestock business is Rp.39,207,785 / period or Rp3,920,778 / month. The amount of production, feed costs, and social costs are factors that were very influential on the business income of pig livestock.

scholarly journals ANALISIS EFISIENSI EKONOMI PENGGUNAAN FAKTOR-FAKTOR PRODUKSI PADA USAHATANI SEMANGKA MERAH DAN SEMANGKA KUNING DI GAPOKTAN NGUDI SANTOSO KABUPATEN PATI

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Indri Aprilia ◽  
Edy Prasetyo ◽  
Bambang S. Mulyatno
Keyword(s):  
Economic Efficiency ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
T Test ◽  
Primary Data ◽  
Survey Method ◽  
Production Factors ◽  
Quota Sampling

ABSTRAKTujuan penelitian ini untuk menganalisis pengaruh penggunaan faktor-faktor produksi lahan, benih, pupuk Phonska, pupuk Za, pestisida, dan tenaga kerja terhadap hasil produksi usahatani semangka merah dan semangka kuning, serta untuk menganalisis tingkat efisiensi ekonomi penggunaan faktor-faktor produksi usahatani semangka merah dan usahatani semangka kuning. Penelitian dilaksanakan pada bulan November 2017 di Gapoktan Ngudi Santoso Desa Bakalan Kecamatan Dukuhseti Kabupaten Pati. Metode penelitian yang digunakan adalah metode survei. Penentuan jumlah responden dilakukan dengan metode slovin, kemudian dari hasil tersebut ditetapkan sebagai kuota dengan metode quota sampling. Data yang digunakan adalah data primer dan data sekunder. Data primer diperoleh dari responden dengan wawancara menggunakan panduan kuesioner. Data sekunder diambil dari sumber atau instansi-instansi terkait serta dari pustaka lain yang berhubungan dengan penelitian ini. Analisis data menggunakan fungsi produksi model Cobb-Douglas, analisis regresi linier berganda dan independent sample t-test. Hasil dari penelitian yaitu penggunaan faktor-faktor produksi luas lahan, benih, pupuk Phonska, pupuk ZA, pestisida dan tenaga kerja secara serempak berpengaruh terhadap produksi semangka merah dan semangka kuning. Nilai signifikansi t-test efisiensi ekonomi lahan, benih, pupuk Phonska, pupuk ZA, pestisida, dan tenaga kerja usahatani semangka merah dan semangka kuning berturut-turut adalah 0,001; 0,002; 0,000; 0,000; 0,000; dan 0,000. Berdasarkan nilai tersebut menunjukkan bahwa terdapat perbedaan yang signifikan.Kata Kunci: efisiensi ekonomi, faktor-faktor produksi, semangka merah, semangka kuning.ABSTRACTThe purpose of this study was to analyze the influence of the use of factors of land production, seeds, Phonska fertilizer, Za fertilizer, pesticides, and labor on the production of red watermelon and yellow watermelon farming, and to analyze the level of economic efficiency using the factors of red watermelon farming production. and yellow watermelon farming. The study was conducted in November 2017 at Ngudi Santoso Gapoktan Bakalan Village, Dukuhseti District, Pati Regency. The research method used is the survey method. Determination of the number of respondents is done by the Slovin method, then the results are determined as quota with the quota sampling method. The data used are primary data and secondary data. Primary data was obtained from respondents by interview using a questionnaire guide. Secondary data is taken from sources or related agencies as well as from other literature related to this research. Data analysis used the Cobb-Douglas model production function, multiple linear regression analysis and independent sample t-test. The results of the study, namely the use of factors of production of land area, seeds, Phonska fertilizer, ZA fertilizer, pesticides and labor simultaneously affect the production of red watermelon and yellow watermelon. The significance value of the t-test is the economic efficiency of land, seeds, Phonska fertilizer, ZA fertilizer, pesticides, and red watermelon and yellow watermelon farming labor. successively is 0.001; 0.002; 0,000; 0,000; 0,000; and 0,000. Based on these values indicate that there are significant differences.Keywords: economic efficiency, production factors, red watermelon, yellow watermelon

scholarly journals Strategi Pemasaran Usaha Art Shop Lokal Di Desa Tegallalang Kabupaten Gianyar

2018 ◽  
Vol 6 (1) ◽  
pp. 123
Author(s):  
Pande I Putu Angga Saputra ◽  
Saptono Nugroho
Keyword(s):  
Raw Materials ◽  
Sampling Technique ◽  
Product Models ◽  
Library Studies ◽  
Qualitative Descriptive ◽  
Product Manufacturing ◽  
Manufacturing Techniques ◽  
Quota Sampling ◽  
The Village

Art shop in Tegallalang is one of the businesses that were built by the community with a small capital as well as the livelihoods of local communities. The expansion of the art shop in Tegallalang causing the large number of tourists visiting Tegallalang, it is also supported by the presence of a tourism destination with the beauty of rice fields across the village that is known for its slender stones. This research uses qualitative descriptive method, i.e. by doing interviews, observation, documentation, library studies and questionnaires. The technique of determination of informants used is purposive sampling technique and determination of the sample using the quota sampling and accidental sampling. The result of this study show a marketing strategy that can be used by traders to face competition that is creating cultural tourism atttractions activities, introducing product manufacturing techniques to consumer, improving the ability in technologi, providing parking lots and transit places, providing facilities that can facilitate employes in work, improving quality or multiplaying product models, working with other in buying raw materials, make arrangement of prices agreement with other art shop and angage in English training.  Keywords: Businesses, local Art shop, marketing strategies, and competitiveness

MAKSIMASI KEUNTUNGAN USAHA BUDIDAYA RUMPUT LAUT DI DESA SATHEAN

2017 ◽  
Vol 1 (1) ◽  
pp. 1-9
Author(s):  
Eygner Gerald Talakua ◽  
Frischilla Pentury
Keyword(s):  
Linear Programming ◽  
Direct Observation ◽  
Descriptive Analysis ◽  
Seaweed Cultivation ◽  
Production Factors ◽  
Maximum Profit ◽  
The Village

This study aimed to assess the maximum profit that can be obtained on seaweed cultivation in the village Sathean of Kei Kecil Subdistrict.Primary data was collected from 15 respondents through direct interviews with questionnaires and direct observation of the object studied. Date were analyzed using descriptive analysis, revenue analysis, and analysis of the allocation of production factors and maximizing profits by using linear programming. The results showed that the maximum profit that can be obtained seaweed cultivation business in the village of Sathean Kecamatan Kei Kecil is Rp 5.010.716, -. This profit is greater than the actual profit that develops today both in the peak season is only Rp 4,666,545, - and the season is less than Rp 1,717,894.

scholarly journals Penerapan Linear Programming untuk Mengoptimalkan Jumlah Produksi dalam Memperoleh Keuntungan Maksimal pada CV Cipta Unggul Pratama

The Winners ◽  
2013 ◽  
Vol 14 (1) ◽  
pp. 55
Author(s):  
Sugiarto Christian
Keyword(s):  
Linear Programming ◽  
Demand Forecasting ◽  
Raw Material ◽  
Linear Programming Method ◽  
Territorial Expansion ◽  
Maximum Profit ◽  
Maximum Benefit ◽  
Formal Employment ◽  
The Right ◽  
Sports Shoes

The purpose of this study is to investigate and understand the barriers and optimize the combination of products in production quantities to gain maximum profit in CV Cipta Unggul Pratama. This study used quantitative approach with survey to collect data. Analysis used forecasting and linear programming method. This analysis was used to combine the right amount of products to get maximum benefit of CV Cipta Unggul Pratama. The results achieved in this research is to know the company in the form of barriers to raw material shortages of 875 m2, labor hours by 4,368 hours, demand forecasting as many as 230 pairs of school shoes, 344 pairs of sports shoes, 450 pairs of shoes and formal employment. The company also had to produce 230 pairs of school shoes, 344 pairs of sports shoes, 450 pairs of shoes and formal employment. Based on the results obtained, research suggested CV Cipta Unggul Pratama makes plans to increase production and to improve the company needs to expand its production or marketing of products territorial expansion.

scholarly journals ANALISIS MAKSIMILISASI KEUNTUNGAN DENGAN METODE SIMPLEX DAN PENDEKATAN METODE SOLVER PADA CV .INDOSOTEN

2020 ◽  
Vol 30 (2) ◽  
Author(s):  
Rezky Hidayat
Keyword(s):  
Linear Programming ◽  
Production Process ◽  
Simplex Method ◽  
Programming Model ◽  
Raw Materials ◽  
Small Scale ◽  
Production Factors ◽  
Maximum Profit ◽  
The Right ◽  
A Company

The In the current era of globalization, the economic situation in Indonesia is indeed very concerning. With these conditions, many micro businesses, especially home industry businesses, have to struggle to continue carrying out product activities so that their production businesses develop. CV.Indoshoten is a small-scale company producing four main products, namely onigiri salmon flake, spicy tuna onigiri, salmon mayo onigiri and tuna mayonnaise onigiri. To maintain the continuity and development of production, steps are needed to be able to allocate raw materials and increase profits. Therefore we need an effort to use a method in determining the right combination of use of the production factors of the products made and the combination of the products produced using the linear programming model of maximization problems with the simplex method and for analysis using the solver method. The results of this study that the salmon-filled onigiri product will get a maximum profit of Rp.875,000 if the company produces 125 pieces of salmon flake onigiri and 25 pieces of salmon mayo while the tuna-filled onigiri product will get a maximum profit of Rp.626,692 if the company produces spicy tuna onigiri. 40 pcs and 107 pcs of tuna mayo. If a company has a lot of inputs that must be used for the production process and the main purpose of obtaining profits that can be used is the simplex method, whereas if the user wants to analyze variable changes so that profits remain optimal then use the solver method.

scholarly journals ANALISIS PENENTUAN LUAS PRODUKSI PADA PERUSAHAAN ROTI BANGKIT JAYA DI KOTA KUPANG

2020 ◽  
Vol 13 (3) ◽  
pp. 341-353
Author(s):  
Raimundus Ivan Naisoko ◽  
Christien C Foenay ◽  
Antonio E L Nyoko
Keyword(s):  
Linear Programming ◽  
Simplex Method ◽  
Quantitative Research ◽  
Research Data ◽  
Production Volume ◽  
Analysis Techniques ◽  
Maximum Profit ◽  
Forecasting Method ◽  
Volume Production

The purpose of this study is to analyze the determination of production volume to maximize profits.This research is a quantitative research. Data analysis techniques are Forecasting and LinearProgramming (Simplex Method). The result of analysis concluded that the production volume usingLinear Programming simplex method obtained in 2019 should produce as many as 405,792,000molten chocolate bread per year and by 2020 should produce as many as 4,107,480 molten chocolatebread per year for earning maximum profit. Meanwhile, the Forecasting result is to produce 4 typesof bread as many as 6,308,240 breads in 2019 and 6,365,560 breads in 2020. In terms of profitoptimization then calculation using Linear Programming is better however considering the marketingaspect where consumers require a variety of bread flavors then calculation using forecasting method ismore recommended. Keywords: Forecasting, Linear Programming, Optimization, Volume Production

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