scholarly journals DSS for Selection of Coffee Plants against a Land Using ANP and Modification Of Profile Matching

2019 ◽  
Vol 13 (3) ◽  
pp. 241
Author(s):  
Indra Pratistha ◽  
Retantyo Wardoyo
Keyword(s):  
Crop Production ◽  
Suitability Analysis ◽  
Matching Method ◽  
Coffee Production ◽  
Land Quality ◽  
Coffee Plantations ◽  
Robusta Coffee ◽  
Profile Matching ◽  
Coffee Plants ◽  
Selection Of

Based on BPS data, the growth of plantation crop production in NTB Province in 2011 to 2016 was recorded to have decreased by an average of 3.3 thousand tons annually. Coffee plants in particular are 0.1 thousand tons on average, the lack of public interest in planting coffee properly on land owned so that it impacts on land use that is not in accordance with its potential which will result in decreased productivity and erosion of land quality [1]. The first study of land suitability analysis for coffee plantations used a matching method in robusta coffee with a matching method producing a class (S1) of 0,46% [2] the second using a matching method on robusta coffee producing a class (S1) of 0,015% [3] These results indicate the ability of each land is different so that the results of the analysis vary. This study applies the ANP method and modified matching profile where the level of recommendations of coffee plants on the ability of land in East Lombok Regency through validation based on coffee production data from the East Lombok District Agricultural Service produces a match in rank 1 of 87,5% and 75% with non-modified profile matching.

scholarly journals Designing New Strategy for Enhancing Robusta Coffee Production: An Application of Interpretative Structural Modeling

2019 ◽  
Vol 6 (2) ◽  
pp. 156
Author(s):  
Andi Nuddin ◽  
Reskiana Reskiana ◽  
Arman Arman ◽  
Syarifuddin Yusuf ◽  
Nuringsih Nuringsih ◽  
...  
Keyword(s):  
Structural Modeling ◽  
Coffee Production ◽  
Causal Factors ◽  
Robusta Coffee ◽  
Modeling Techniques ◽  
New Strategy ◽  
Coffee Plants ◽  
Coffee Farming ◽  
Selection Of ◽  
Coffee Price

One of the causal factors affect coffee production declining in Indonesia is the decline in harvest area of coffee plants. The decline in the area of coffee farming is caused by the shift of farmers from coffee to other commodities, such as corn, vegetables and fruit. The research was conducted to determine new strategic steps in order to enhance robusta coffee production. To achieve the research objectives, Interpretative Structural Modeling (ISM) analysis and modeling techniques are carried out. This modeling technique does not require a large sample, so the sample used in this study is limited to 22 people from several related agencies. Data processing in research is carried out according to the needs of Interpretative Structural Modeling (ISM) analysis. The results show that the new strategy in developing Robusta coffee production is (1) rehabilitation of coffee plants, (2) rejuvenation of coffee plants, (3) selection of superior coffee varieties, (4) provision of farming roads, (5) coffee price stabilization, (6) intensification of coffee plants, (7) pest control, and (8) increased knowledge of farmers. These new combinations strategy can be strongly expected to enhance robusta coffee production in the country.

scholarly journals Sistem Pendukung Keputusan Pemilihan Tenaga Kerja Indonesia (TKI) Berdasarkan Kualitas Untuk Menentukan Tempat Kerja Menggunakan Metode Profile Matching (Studi Kasus: PT Adila Prezkifarindo Duta)

2020 ◽  
Vol 1 (2) ◽  
pp. 142
Author(s):  
Dasarius Gulo
Keyword(s):  
Decision Making ◽  
Migrant Workers ◽  
Selection Process ◽  
Matching Method ◽  
Matching Process ◽  
Profile Matching ◽  
Long Time ◽  
Support Decision Making ◽  
Selection Of ◽  
The Ideal

In the process of selecting Indonesian Workers (TKI) based on quality at PT. Adila Prezkifarindo Duta is classified as still manual, where there is not yet a system for selecting quality migrant workers so it requires a long time for its assessment and the selection process is less effective. To support decision making in the selection of qualified Indonesian Workers (TKI) to make it easier by using a decision support system. One method used in the selection of qualified Indonesian Workers is the Profile Matching method. The profile matching method is a decision-making mechanism by assuming that there is an ideal level of predictor variables that must be met by applicants, rather than the minimum level that must be met or passed. In the profile matching process a process will be compared between individual competencies into standard competencies so that different competencies can be identified (also called Gap). The smaller the gap produced, the greater the weight value. In matching this profile, the selected TKI candidates are Indonesian Workers who are closest to the ideal profile of a qualified TKI.

scholarly journals Karakteristik vegetatif dan taksasi produksi kopi robusta tahun 2018 dan 2019 (Survey pada perkebunan kopi rakyat di Dusun Mandang, Desa Sucen, Kecamatan Gemawang, Kabupaten Temanggung)

Agromix ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 125-135
Author(s):  
Yohana Theresia Maria Astuti ◽  
Tri Nugraha Budi Santosa ◽  
Dian Pratama Putra ◽  
Enny Rahayu ◽  
Agus Solifudin ◽  
...  
Keyword(s):  
Survey Methods ◽  
Sampling Technique ◽  
Suitability Analysis ◽  
Coffee Plantation ◽  
Coffee Production ◽  
Land Suitability Analysis ◽  
Purposive Sampling ◽  
Robusta Coffee ◽  
Number Of Leaves ◽  
Better Than

This study aims to evaluate the dinamics of coffee production  in Mandang, Sucen Village, Gemawang District, Temanggung on 2018 and 2019. The research was carried out at  people coffee plantation in Mandang Hamlet, Sucen Village, Temanggung. Research using survey methods. Observation of performance with 30 samples taken by purposive sampling technique on 3 clones. Land suitability analysis was carried out at 3 observation points. The results obtained are: The vegetative characteristics  of robusta coffee BP 288 and BP 409 are better than  BP 358 clones, while the robusta coffee production is the same  on various clones and  plantation location.  The long dry season  in 2018 and 2019 has an effect on the decline of the number of leaves and coffee production in 2019 compared to 2018 in Mandang Hamlet, Sucen  Village, Gemawang district, Temanggung.

scholarly journals Sistem Penunjang Keputusan Untuk Penentuan Ketua Ekstrakurikuler Menggunakan Metode Profile Matching

2021 ◽  
Vol 7 (2) ◽  
pp. 194-199
Author(s):  
Nazmi Uliah ◽  
Bakhtiar Rifai ◽  
Sopiyan Dalis
Keyword(s):  
High School ◽  
Junior High School ◽  
School Environment ◽  
Role Models ◽  
Vocational High School ◽  
Matching Method ◽  
Profile Matching ◽  
Final Score ◽  
Good Scale ◽  
Selection Of

The role of the School Extracurricular (EKSKUL) in a junior high school, high school, vocational high school/equivalent has an important function in improving the quality of school environment, proper selection in determining the Chair of the EKSKUL is very necessary in order to be able to protect and become role models for students in the environment. school. The absence of a fixed application of specific criteria, and the absence of voter understanding in choosing the extracurricular chair according to the criteria, make this study more helpful in applying the criteria using the profile matching method. It is hoped that it can help the existing schools at MA Tarbiyah Islamiyah in facilitating the selection of the chairman of EKSKUL. The criteria that have been determined are Behavioral Aspects, Responsibility Aspects, Communication Aspects. The assessment was carried out by filling out a Likert scale questionnaire by the respondents, where Scale 5 = Very Good, Scale 4 = Good, Scale 3 = Doubtful, Scale 2 = Disagree, Scale 1 = Strongly Disagree. The results were processed using the profile matching method, and based on the results obtained, the top-ranking was Dhiyah Fathiyyah with a final score of 4.86. So it can be concluded that there is an influence in determining the selection of extracurricular chairman using the profile matching method according to the existing criteria.

scholarly journals SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN SISWA BERPRESTASI; METODE PROFILE MATCHING

2019 ◽  
Vol 1 (1) ◽  
pp. 30-37
Author(s):  
Zulfahmi Fahmi ◽  
Faradika Dika
Keyword(s):  
Student Achievement ◽  
Decision Support ◽  
Unified Modeling Language ◽  
Modeling Language ◽  
Matching Method ◽  
Unified Modeling ◽  
Profile Matching ◽  
K 13 ◽  
Selection Of

This research was conducted to assist the school in terms of selection of creative students, especially those using Kurikulum 2013 or better known as K-13. We conclude that the subjective application of student achievement with the 2006 curriculum is more commonly referred to as Kurikulum Tingkat Satuan Pendidikan (KTSP) has been widely circulated schools. The limits given in the decision support system of selecting student achievement include the determination of criteria and using Profile Matching method which leads to the determination of GAP value, the smaller the gap value the greater the chance to be selected as a student achievement. In designing applications researchers use using tools such as UML ( Unified Modeling Language) in order to make it easier to move the concept of a system designed into the form of the program.

Sistem Pendukung Keputusan Seleksi Beasiswa Situbondo Unggul Menggunakan Metode Simple Additive Weighting dan Profile Matching

2019 ◽  
Vol 3 (1) ◽  
pp. 20
Author(s):  
Moh Febri Nurul Qorik ◽  
Slamin Slamin ◽  
Priza Pandunata
Keyword(s):  
Decision Making ◽  
Information Systems ◽  
Matching Method ◽  
Profile Matching ◽  
Scholarship Recipients ◽  
The Difference ◽  
Waterfall Model ◽  
White Box Testing ◽  
Simple Additive Weighting ◽  
Selection Of

This study is about the use of simple additive weighting (SAW) and profile matching methods for the construction of information systems supporting the decision selection of scholarships. The case study of this research is the selection of superior situbondo scholarships in the Education Office of Situbondo Regency. The purpose of this study was to apply the profile matching method and SAW in resolving the problem of selecting the Situbondo Superior Scholarship recipients who had 2 aspects of assessment, namely aspects of poverty and academics which made it difficult to select scholarships, this difficulty is caused by the value of the aspect of poverty must be the smaller the difference in the value of students with the value of the scholarship it will be better while the academic value must go far beyond the minimum value, the better. The profile matching method is used to calculate the value of the aspect of poverty and SAW is used to calculate the value of the academic aspects. To determine the final results of this study using the criteria for decision-making scale determined by the District Education Office of Situbondo, one of the final methods of the method is less than 30 worth not funded, one of the final method values less than 60 is considered to be funded. The development of information systems supporting superior decision making for the Situbondo scholarship using the profile matching and simple additive weighting methods using a website-based system with system design using the SDLC waterfall model, implementation of the system using the laravel framework and program code using the hypertext pre-processor programming language (PHP ), while for managing the database using MySQL DBMS and system testing using black box and white box ( testing unit). The results of this research method of profile matching and simple additive weighting can be applied properly in a superior situbondo scholarship decision support system.

scholarly journals Decision support system for the selection of exemplary teachers using profile matching method

2021 ◽  
Vol 1933 (1) ◽  
pp. 012013
Author(s):  
Erlan Darmawan ◽  
Fahmi Yusuf ◽  
Endra Suseno ◽  
Heru Budianto ◽  
Siti Maesyaroh
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Exemplary Teachers ◽  
Matching Method ◽  
Profile Matching ◽  
Selection Of

scholarly journals DECISION SUPPORT SYSTEM FOR SELECTION OF EXEMPLARY EMPLOYEES AT PT. SINAR ASIA PERKASA

2020 ◽  
Vol 2 (4) ◽  
pp. 227-232
Author(s):  
Syahriani Syahriani ◽  
Nurmah Nurmah ◽  
Luthfi Indriyani
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Work Performance ◽  
Work Productivity ◽  
Matching Method ◽  
Profile Matching ◽  
A Company ◽  
Selection Of

Sinar Asia Perkasa is a manufacturing company, where this company is always required to innovate and improve the quality and quality of its products. Because of this, the company PT. Sinar Asia Perkasa must improve itself to get employees who have high quality and work productivity. Employees are one of the most important parts of a company that must be managed properly. To get employees of the highest quality, a process is needed that can automatically provide recommendations in selecting exemplary employees at PT. Sinar Asia Perkasa, namely by establishing a Decision Support System. This Decision Support System is expected to assist in objectively selecting employees. Making this Decision Support System using the Profile Matching method with several criteria, namely aspects of the discipline, aspects of integrity, aspects of cooperation, and aspects of work performance. Then for the final stage of this method is ranking.

scholarly journals DATA MINING FOR PREDICTING THE AMOUNT OF COFFEE PRODUCTION USING CRISP-DM METHOD

2020 ◽  
Vol 17 (1) ◽  
pp. 1-8
Author(s):  
Ali Khumaidi
Keyword(s):  
Coefficient Of Determination ◽  
Data Preparation ◽  
Coffee Production ◽  
Data Set ◽  
Coffee Plantations ◽  
Preparation Stage ◽  
Coffee Plants ◽  
Internal And External Factors ◽  
The Relationship

The production of coffee plantations has become the leading plantation commodity with the export value of the fourth rank after oil palm, rubber and coconut. The number of coffee needs for export every year always increases, therefore it is necessary to predict the yield of coffee plants to estimate planting and anticipation that will be done so as to achieve the target. Coffee plant productivity is influenced by internal and external factors, namely the quality of the plant itself, soil, altitude and climate. The method used in this study is the CRISP-DM method and multiple linear regression algorithm to predict the amount of coffee production and determine the relationship between the variables. The steps taken are business understanding, data understanding, data preparation, modeling and evaluation. The data set that is used as many as 170 data after going through the data preparation stage produced 150 data with 5 attributes in the table. With calculations using tools, the coefficient of determination is 91.96%. That the variation in the value of the production of coffee plants is influenced by independent variables, namely the area of ​​plantations, rainfall, air pressure and solar radiation by 91.96% and 8.04% influenced by other variables not measured in this study. The results of the evaluation and validation of predictions produce good accuracy with an RMSE value of 0.3477.

scholarly journals Analisa Pemilihan Sales Terbaik di PT. Enseval Putera Megatreding Tbk, Pematangsiantar dengan metode Profil Matching

2019 ◽  
Vol 1 ◽  
pp. 731
Author(s):  
Suharyadi Suharyadi ◽  
Saifullah Saifullah ◽  
Eka Irawan ◽  
Riski Sundari
Keyword(s):  
Matching Method ◽  
Profile Matching ◽  
Sales Process ◽  
Sales Person ◽  
Permanent Employees ◽  
Selection Of

Abstract-Sales is the ability of a sales person to sell, which includes the process of selling that comes from the first step to the execution of a sale. So the understanding of sales person or salesmen here is an individual who offers a product in a sales process. In this case sometimes the leaders are confused in determining the best sales at PT ENSEVAL PUTERA MEGATRADING Tbk, Pematang Siantar. This study uses Profile Matching method. This report discusses the selection of the best SALES in PT ENSEVAL PUTERA MEGATRADING Tbk, Pematang Siantar Then calculates consistency using the Profile Matching method. If the consistent value is produced consistently, it can be used as a reference to rank the best sales at PT ENSEVAL PUTERA MEGATRADING Tbk, Pematang Siantar. For the results of all tests can be generated that it is easier to determine the best sales, and become input to the management in lifting the best sales to become permanent employees.

Sign in / Sign up

Export Citation Format

Share Document