scholarly journals Sistem Pendukung Keputusan Menentukan Kualitas Pada Biji Kakao Dengan Menggunakan Metode Weighted Product (Wp) (Studi kasus : CV. Bulok Kakao Sentosa Kecamatan Bulok)

Respati ◽  
2020 ◽  
Vol 15 (2) ◽  
pp. 1
Author(s):  
Elisabet Yunaeti Anggraeni ◽  
Sri Hartati ◽  
Icha Mufadila
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Theobroma Cacao ◽  
Cocoa Beans ◽  
Dry Land ◽  
Cocoa Production ◽  
Cocoa Farmers ◽  
Theobroma Cacao L

INTISARITanaman kakao (Theobroma cacao, L.) atau yang biasa disebut coklat merupakan tanaman perkebunan yang tumbuh di lahan kering. Tanaman kakao merupakan salah satu komoditas unggulan nasional yang berperan penting bagi pertumbuhan perekonomian Indonesia. Namun, dalam  budidayanya petani kakao seringkali menghadapi masalah yang dapat menyebabkan penurunan kualitas hasil produksi kakao. Karena permasalahan inilah yang membuat peneliti ingin membuat suatu sistem pendukung keputusan yang dapat membantu petani dan suplayer terutama CV. Bulok Kakao Sentosa untuk menentukan kualitas biji kakao. Sistem yang dirancang menggunakan metode Weighted Product (WP) merupakan metode penyelesaian dengan menggunakan perkalian untuk menghubungkan nilai atribut, dimana nilai harus dipangkatkan terlebih dahulu dengan bobot atribut yang bersangkutan. Dengan adanya sistem  penunjang keputusan ini mampu membantu masyarakat untuk menentukan  kualitas biji kakao dan di harapkan sistem pendukung keputusan menggunakan metode Weighted Product dalam proses menentukan kualitas pada biji kakao tersebut dapat menyelesaikan masalah pada CV. Bulok Kakao Sentosa, petani dan pengepul kakao dalam menentukan kualitas biji kakao yang baik Kata Kunci : Sistem Penunjang Keputusan, Weighted Product (WP), Biji Kakao ABSTRACTCacao (Theobroma cacao, L.) or commonly called cocoa is an estate crop that grows on dry land. Cacao is one of the leading national commodities that plays an important role in Indonesia's economic growth. However, in the cultivation of cocoa farmers often face problems that can cause a decrease in the quality of cocoa production. Because of this problem that makes researchers want to create a decision support system that can help farmers and suppliers, especially CV. Bulok Kakao Sentosa to determine the quality of cocoa beans. The system is designed using the Weighted Product (WP) method is a method of settlement using multiplication to connect the attribute value, where the value must be raised first with the weight of the attribute in question. With this decision support system able to help the community to determine the quality of good cocoa beans and expected with the decision support system using the Weighted Product method in the process of determining the quality of the cocoa beans can solve the problem in the CV. Bulok Kakao Sentosa, cocoa farmers and collectors in determining the quality of good cocoa beans. Keywords : Decision Support System, Weighted Product (WP), Cacao Beans

scholarly journals Fermented Cocoa Beans (Theobroma cacao L) in Southeast Aceh District

2021 ◽  
Vol 2 (1) ◽  
pp. 13
Author(s):  
Syariani Tambunan ◽  
Nico Syahputra Sebayang ◽  
Desi Sri Pasca Sari
Keyword(s):  
Theobroma Cacao ◽  
International Markets ◽  
Cocoa Beans ◽  
Agricultural Industry ◽  
Exchange Value ◽  
Cocoa Products ◽  
Cocoa Production ◽  
Cocoa Farmers ◽  
Theobroma Cacao L

One of the productions of the agricultural industry that has a fairly high foreign exchange value for our country is cocoa, but our cocoa production is still of low quality. To get good quality cocoa, good processing must be done. Fermentation of cocoa beans is one way to improve the quality of cocoa so that it can be sold in national and international markets. The purpose of this activity is to help cocoa farmers, especially in Southeast Aceh district, in improving the quality of cocoa production, so that the cocoa products of Southeast Aceh farmers can compete in trade both locally and abroad. The implementation of this activity is carried out through training to improve the quality of cocoa. There are several activities, namely: Sorting Cocoa, peeling cocoa pods, fermenting cocoa pods for 5 days and the last step is drying until the moisture content of cocoa pods reaches 7%. The result of this activity is to increase the knowledge of cocoa farmers in Southeast Aceh Regency in order to improve the quality of cocoa beans, so that cocoa sales can be accepted and compete in the market.

scholarly journals SISTEM PENDUKUNG KEPUTUSAN MENENTUKAN KUALITAS BIJI KAKAO DENGAN MENGGUNAKAN METODE MULTIDIENSIONAL SCALING (STUDI KASUS: PT. TANAH MAS CELEBES INDAH KABUPATEN POSO)

2019 ◽  
Vol 3 (1) ◽  
pp. 46-51
Author(s):  
Triyanti Kusuma Bangsa ◽  
Mohammad Sofyan S. Thayf ◽  
Marlina Marlina
Keyword(s):  
Decision Support ◽  
Moisture Content ◽  
Decision Support System ◽  
Support System ◽  
Decision Model ◽  
Cocoa Beans ◽  
Application System ◽  
Calculation Results ◽  
And Function

The problem at PT. TMCI is that the lab part is still confused in determining the quality of some cocoa beans, because there is no average calculation. So that the quality of cocoa depends only on the specified parameters, and the moisture content, the count of cocoa beans as the first determinant of quality. The purpose of this study is to make a decision model in a decision making with the Multidimensional Scaling method, and a decision support system as a decision maker in determining the quality of cocoa beans, and implementing a decision support system and calculation of MDS metrics with several parameters, namely based on moisture content, moudly, broken beans, weight of waste, number of cocoa beans and flat cocoa beans. Then apply the MDS method in an Android-based application system, so that from the calculation results can determine which quality is good and which will be mixed again. Data collection is done by observing conditions directly, and conducting interviews. From the results of testing implementation, interviews and testing applications, that the application works properly when used. In terms of appearance and function the application can help the lab and the owner at the time of supplying supplier data. So it was concluded that this application could be well received and answer the problems of the lab and the owner.

scholarly journals Penerapan Metode Profile Matching Sistem Pendukung Keputusan Demosi Karyawan (Studi Kasus: PT Nafasindo)

2020 ◽  
Vol 7 (2) ◽  
pp. 290
Author(s):  
Daniel F S P Sitohang ◽  
Berto Nadeak ◽  
Putri Ramadani
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Accurate Information ◽  
Profile Matching ◽  
System Use ◽  
Computerized System

One effort in the development of information technology today requires fast and accurate information in its implementation. in the assessment of the work ability of well-performing and poor employees with the support of a decision support system it produces one of the implementations of the development of information technology in improving the quality of the company's work. where the decision making process determines employee demotion is still done manually. still there are often a number of errors such as misdirection. Therefore, to make an assessment in making a decision to choose a decent demotion employee based on the assessment carried out in the field. Then the decision support system that will be built with a computerized system so that decision making is done quickly and accurately. For this decision support system, use the Profile Matching method or matching the demotion of employee demos with the profile of the employee assessed with the specified Criteria. Making an application program must be made carefully, so that it looks easy to understand and proven useful and useful for users. the system built can help PT. Nafasindo in determining the demotion of employees who are decent and can reduce errors in determining the demotion of employees

scholarly journals Sistem Pendukung Keputusan Penyeleksian Colour Guard Pada Marching Band Ginada Dengan Menggunakan Metode Vikor Dan Borda

2020 ◽  
Vol 2 (1) ◽  
pp. 35-48
Author(s):  
Nurjannah ◽  
Dito Putro Utomo
Keyword(s):  
High School ◽  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Body Language ◽  
Routine Activity ◽  
Decision Making Process ◽  
Marching Band

Decision support system for selecting color guard with VIKOR and Borda methods. It has been made as a tool to select color guard at the Sei Rampah High School. The criteria used in the decision support system for color guard selection are: height, weight, agility, stamina, and body language. Color guard selection activities are a routine activity every year, so GINADA marching band coach Sei Rampah hereby selects to select permanent members in the marching band. Decision Support System in an organization can be seen as important in supporting the smooth running of activities and achieving an organizational goal. SPK can come in various forms, ranging from simple forms of data processing to complex application forms, and can also be used to accelerate and improve the quality of the decision-making process in the organization.

VP29 Designing A Mobile Clinical Decision Support System For Dementia

2019 ◽  
Vol 35 (S1) ◽  
pp. 83-83
Author(s):  
Noemí Robles ◽  
Carme Carrion i Ribas ◽  
Marta Aymerich
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Clinical Decision Support ◽  
Support System ◽  
Behavioral Interventions ◽  
Clinical Decision Support System ◽  
Scientific Evidence ◽  
Clinical Decision ◽  
Cognitive Therapies

IntroductionE-health offers the opportunity of supporting the management of several diseases, but most of these tools are far from being based on scientific evidence and demonstrating their effectiveness and efficacy. The PSICODEM Project aims to develop a mobile personalized clinical decision support system (CDSS) based on evidence for contributing to e-health interventions addressed to the management of dementia that require not only a pharmacological approach but also psychosocial interventions for improving patients’ quality of life and reducing emotional, cognitive and behavioral symptoms. The present communication focuses on the identification of the evidence on which the CDSS algorithm will be developed.MethodsThree systematic reviews were carried out in order to identify the existing scientific evidence published in relation to the effectiveness of behavioral, emotional and cognitive therapies addressing dementia (January 2009 to December 2017). The main databases were consulted (PubMed, Cochrane Library, PsychoInfo) and only randomized control trials (RCT) were considered. Articles were reviewed by two independent reviewers. The quality of the selected publications was assessed according to the SIGN criteria.ResultsForty-seven RCTs were selected for cognitive therapies, thirty-two for emotional ones and fifteen for behavioral interventions. Those therapies with more support of evidence were skills training for cognitive therapies and reminiscence interventions for emotional interventions; however, in behavioral interventions a variety of therapeutically approaches were found. Wide differences were found between studies in terms of types and levels of dementia, forms of intervention (number, length and frequency of sessions) and outcome measures.ConclusionsIn-depth analysis of evidence will allow the identification of those interventions more appropriate for each patient according to their symptoms and level of dementia. According to this evidence, the mobile CDSS algorithm will be developed. Additionally, these findings point out the gaps in psychosocial intervention research.

scholarly journals Repurposing Clinical Decision Support System Data to Measure Dosing Errors and Clinician-Level Quality of Care

2020 ◽  
Vol 44 (10) ◽  
Author(s):  
David L. Chin ◽  
Michelle H. Wilson ◽  
Ashley S. Trask ◽  
Victoria T. Johnson ◽  
Brittanie I. Neaves ◽  
...  
Keyword(s):  
Quality Of Care ◽  
Decision Support ◽  
Decision Support System ◽  
Clinical Decision Support ◽  
Support System ◽  
Clinical Decision Support System ◽  
Clinical Decision ◽  
System Data
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