scholarly journals Pendukung Keputusan Penentuan Jumlah Order Menggunakan Fuzzy Mamdani

MATICS ◽  
2017 ◽  
Vol 9 (2) ◽  
pp. 80
Author(s):  
Elta Sonalitha
Keyword(s):  
Decision Support ◽  
Customer Satisfaction ◽  
Decision Support System ◽  
Support System ◽  
Financial Management ◽  
Raw Materials ◽  
Raw Material ◽  
Purchase Price ◽  
Demand And Supply ◽  
Purchasing Managers

<strong>To get customer satisfaction, a restaurant should always provide raw materials in accordance with the menu. Each raw material has a different demand based on an uncertain customer interest. Purchasing managers have difficulty in determining the number of orders for each raw material, due to the uncertainty of demand and supply. Therefore we built decision support system for determining the number of orders using fuzzy mamdani. From decision support system we get ROP and recommendation of the number of orders accompanied by the total purchase price for each raw material. This system helps the purchasing managers in determining the amount of orders quickly and precisely by considering the losses, especially in the field of financial management.</strong>

scholarly journals Penentuan Kelayakan Jagung Biji Untuk Pakan Ternak Dengan Metode Fuzzy Saw

JURTEKSI ◽  
2017 ◽  
Vol 4 (1) ◽  
pp. 79-84
Author(s):  
Widiarti Rista Maya ◽  
Ahmad Fitri Boy
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Raw Materials ◽  
Raw Material ◽  
Decision Making Process ◽  
Weighting Method ◽  
Long Time ◽  
Simple Additive Weighting

Abstract: In the decision making process of the feasibility of corn raw materials so far only see the physical raw materials tend to be subjective so that in the decision making process of the feasibilityof corn raw materials must take a long time , sometimes the decision taken is not appropriate so that this needs to be addressed again for the feasibility of corn raw materials. From the description above need to be made an auxiliary program for decision support system by using fuzzy SAW ( Simple Additive Weighting ) method in determining corn raw material that is acceptable to PT. Charoen Phokpand Indonesia. Program which will be made more to assist manager or staff in taking decision and not replace it. The results of this study are expected to assist managers or staff in making decisions for the process of assessing the feasibility of corn raw materials in PT. Charoen Phokpand Indonesia so as to improve the quality of human resources. Keywords: corn raw materials, decision support system, fuzzy saw method Abstrak: Dalam proses pengambilan keputusan kelayakan bahan baku jagung selama ini hanya melihat fisik bahan baku yang cenderung subjektif sehingga dalam proses pengambilan keputusan kelayakan bahan baku jagung harus membutuhkan waktu yang cukup lama, terkadang keputusan yang diambil tidak tepat sehingga hal ini perlu dibenahi lagi untuk proses pengambilan keputusan kelayakan bahan baku jagung. Dari uraian diatas perlu dibuat suatu program bantu untuk sistem pendukung keputusan dengan menggunakan metode fuzzy SAW (Simple Additeve Weighting) dalam menentukan bahan baku jagung yang layak diterima pada PT. Charoen Phokpand Indonesia. Program yang akan dibuat lebih bersifat untuk membantu manager atau staff dalam pengambilan keputusan dan bukan menggantikannya. Hasil dari penelitian ini diharapkan dapat membantu manager atau staff dalam mengambil keputusan untuk proses penilaian kelayakan bahan baku jagung pada PT. Charoen Phokpand Indonesia sehingga dapat meningkatkan kualitas sumber daya manusia. Kata kunci: Bahan baku jagung, Sistem Pendukung Keputusan, metode fuzzy SAW

scholarly journals Decision Support System for Determining Mini Sugar Mill Location in Madura

2019 ◽  
Vol 34 (2) ◽  
pp. 232
Author(s):  
Mokh. Rum ◽  
Dwidjono Hadi Darwanto ◽  
Slamet Hartono ◽  
Masyhuri Masyhuri
Keyword(s):  
Social Capital ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Raw Materials ◽  
Land Suitability ◽  
Raw Material ◽  
Primary Data ◽  
Sugar Mill ◽  
Software Analysis

Madura has widely potential farming business of sugarcane and has enough raw material to build a mini sugar mill. Sugarcane is cultivated in Madura, particularly in four regencies, namely Bangkalan, Sampang, Pamekasan and Sumenep. To decide the location of mini sugar mill in one of the regencies requires decision support system (DSS). This study aimed to determine the priority of mini sugar mill location in Madura. This research used primary and secondary data. The primary data were collected using questionnaires. Then, the results of evaluation from the experts, on the items of questions, were analyzed with analytical hierarchy process (AHP). This was accomplished using Expert Choice 2000 software. Analysis of the selection of mini sugar mill location considered six criteria, namely the land suitability level, existing infrastructure, the potential of raw materials, the availability of labor, social capital and institutions. The selected criteria were further classified into sub-criteria to clarify the definitions of operational criteria and facilitate assessment for respondents. The results show that social capital had the greatest influence on decision making, followed by the land suitability level and the potential of raw materials. The finding in this research is that the mini sugar mill location is given priority in Bangkalan Regency, Madura. The conclusion of this research is that AHP analysis can be used as a method to take accurate decision in determining the location of sugarcane factory in certain area of sugarcane farming business development.

scholarly journals SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN BAHAN BAKU PRODUKSI DENGAN METODE WEIGHTED PRODUCT PADA PT. LUHAI INDUSTRI

2020 ◽  
Vol 3 (1) ◽  
pp. 67-84
Author(s):  
Irma Yunita Ruhiawati ◽  
Mochamad Yusuf Romdoni
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Raw Materials ◽  
System Development ◽  
Raw Material ◽  
Functional Program ◽  
System Method ◽  
Processing Techniques ◽  
Selection Of

This study aims to be able to assist PT Luhai Industri Indonesia in processing data of new raw materials by making appropriate decisions with prices that are quite economical but with good enough quality, while the data processing techniques here use the decision support system method to determine adequate raw material production good and efficient. So not only is the information needed faster, the time needed to process the data will be faster. In the process of building a decision support system for the selection of raw materials for production using a system development method with a weighted product that uses a multiplication formula to link the rating of each attribute, where the rating must be raised first with the weight of the attribute concerned, in this study will use a method approach Waterfall in the development of the system from collecting data for user needs to the data to be processed into an attribute and weighting with the weighted product method in determining decisions on the final result of the software to be made, while the tools used in research to describe the flow of the system this is by using a structured method namely UML (Unfield Method Language) in describing the functional program model. This decision support system software will be built with Visual Studio 2010 programming language with a client server system so to adjust the system here will use MySQl as the database.

Spatial intelligent decision support system for increasing productivity on natural rubber agroindustry by green productivity approach

2017 ◽  
Vol 66 (6) ◽  
pp. 742-765 ◽  
Author(s):  
Yuliana Kaneu Teniwut ◽  
Marimin Marimin ◽  
Nastiti Siswi Indrasti
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Natural Rubber ◽  
Support System ◽  
Measurement Model ◽  
Raw Material ◽  
Rubber Plantation ◽  
Content Type ◽  
Green Productivity ◽  
Decision Alternatives

Purpose The purpose of this paper is to develop a spatial intelligent decision support system (SIDSS) for increasing productivity in the rubber agroindustry by green productivity (GP) approach. The SIDSS was used to measure the productivity of rubber plantation and rubber agroindustry by GP approach, and select the best strategies for increasing the productivity of rubber agroindustry. Design/methodology/approach This system was developed by combining spatial analysis, GP, and fuzzy analytic network process (ANP) with the model-based management system, which is able to provide comprehensive and meaningful decision alternatives for the development of natural rubber agroindustry. Rubber plantation productivity measurement model was used to find the productivity level of rubber plantation with fuzzy logic, and also to provide information and decision alternatives to all stakeholders regarding spatial condition of rubber agroindustry, production process flow, and analysis of the seven green wastes at each production process flow using the geographic information system. GP measurement model was used to determine the productivity performance of the rubber agroindustry with the green productivity index (GPI). The best strategy for increasing the productivity was determined with fuzzy ANP. Findings Rubber plantation measurement model showed that the average of plantation productivity was 6.25 kg/ha/day. GP measurement model showed that the GPI value of ribbed smoked sheet (RSS) was 0.730, whereas of crumb rubber (CR) was 0.126. The best strategy for increasing the productivity of rubber agroindustry was raw material characteristics control. Based on the best strategy, the GPI value of RSS was 1.340, whereas of CR was 0.228. Research limitations/implications This decision support system is still limited as it is based on static data; it needs further development so that it can be more dynamically based on developments in the rubber agroindustry related levels of productivity and environmental impact. In addition, details regarding the decision to increase the productivity of the rubber section by benchmarking efforts should be studied further, both among plantation as well as among countries such as Thailand so that the productivity of rubber plantation and agroindustry can be integrated. Practical implications This research can help the planters to select superior clones for rubber trees, to improve the technique of tapping latex, and to use a better coagulant. The good quality and quantity of raw material is a key factor in increasing the productivity of rubber agroindustry; if the quality of latex is good then the resulting product will also have a good quality and production cost can be reduced. In addition, the application of GP through the calculation of GPI value using improvement scenarios can be used as a reference and comparison for evaluating the performance of rubber agroindustry to reduce the waste generated by the activities of rubber processing plant. Social implications Reduction of waste generated by production activities can improve the quality of life of the workforce and the environment. The calculation of GPI value can also be used as a basis to use raw materials, water, and electricity more efficiently. Originality/value This system was developed by combining spatial analysis, GP, and fuzzy ANP with the model-based management system, which is able to provide comprehensive and meaningful decision alternatives for the development of natural rubber agroindustry.

Sistem Pendukung Keputusan Penentuan Kualitas Tempe Siap Jual Dengan Metode Weight Product

2020 ◽  
Vol 3 (2) ◽  
pp. 158-162
Author(s):  
Benyamin Sembiring ◽  
Sulindawaty Sulindawaty
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Raw Material ◽  
Final Decision ◽  
Traditional Methods ◽  
Calculation Process ◽  
Product Method

According to this SNI, soybean tempeh is packaged in well-closed packages, namely leaves and plastic. At MSME Latersia Berkat Tempe, it was found that information problems determining the quality of tempe were very diverse in determining the quality of tempe, generally using traditional methods. In this study, the calculation was carried out by applying the SPK with the Weighted Product (WP) method in determining the quality of ready-to-sell tempe and designing the Decision Support System (SPK) application with the Weighted Product (WP) method in determining the quality of ready-to-sell tempe using Visual Studio 2010. Analysis of the data obtained Tempe data as alternative data is taken from general packaging, namely Tempe Wrapped in Plastic and Tempe Wrapped in Leaves. The criteria for determining the quality of tempe production, in this study are influenced by Raw Material (C1), Type of Yeast (C2), Packaging (C2), Taste (C4), Color (C5), Typical Odor of Tempe (C6), Texture (C7), Sales (C8). In the application, the Alternative Data and Criteria Data are inputted, then the calculation process is carried out using the Weighted Product method. The result of the WP ranking calculation is determined to be the highest value to be the final decision of the system.

scholarly journals Sistem Pendukung Keputusan Dalam Menentukan Kinerja Aparatur Desa Pada Kecamatan Pugung Menggunakan Metode SAW

2017 ◽  
Vol 9 (2) ◽  
Author(s):  
Tri Susilowati ◽  
Urip Indrajaya ◽  
Wulandari
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Performance Appraisal ◽  
Support System ◽  
Financial Management ◽  
Good Governance ◽  
The Body ◽  
Internal Factors ◽  
Village Government ◽  
The Village

AbstractThe need for a strong personnel resources facing the village of institutional change is not only driven by internal factors but also external factors. Internal factors because when village officials should have the skills and knowledge such as making regulations parley villages along the body of the village, the village financial management, and others. The demands of rural communities will be their satisfactory services is something that must immediately responded village government. The results can be concluded from this study that the village government performance in providing services must be assessed due to the creation of good governance (good governance). With their performance appraisal is expected to cause a sense of morale officers Pugung village in the district, so it will be offset by good discipline as well. This decision support system designed to determine the performance of the apparatus Pugung villages in the district. The author in this study using SAW. With the decision support system is very useful in improving the performance of the apparatus Pugung village in the district, and as motivation village officials in providing services to the public. The results of this study best performance was obtained on behalf of Edi Setiawan from Sinar Agung village with a value of 0.92.Keywords: SPK, performance, village officials, Simple Additive Weighting (SAW)

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