scholarly journals OPTIMALISASIPENENTUAN SUMBER PASOKAN KOPI ARABIKA GAYO MELALUI PENDEKATAN HIRARCHICALCLUSTERING DATA MINING

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Arie Saputra
Keyword(s):  
Data Mining ◽  
Added Value ◽  
Purchase Price ◽  
Average Price ◽  
Arabica Coffee ◽  
Sampling Process ◽  
Coffee Farmers ◽  
The Right

Gayo coffee scattered in the mountains and being in two districts of the central highlands and Central Aceh district has become the center of world attention. GayoArabicacoffeehas a uniquemanifoldandthe added valuecreatedby themountainous natureGayo. This factor makes Gayo Arabica coffee has the added value that is not replaceable by other similar commodities. The success of the stakeholders Gayo coffee obtain certification which is organic, fairtrade, coffee practice and Geographic indication that can be a proof of the worldwide recognition of the quality and added value of this coffee. The average price of the last on the coffee harvest season in March 2012 ranged between Rp 100.000,- until Rp 110.000,- in each Kg greanbean on exporter level. Determination of clusters of farmers the right so that the quality and price of supplies could be predicted well by the cooperative as exporters are very important. These routes and ketelusuran origin coffee blend in one location with other location mebuat coffee quality decreases. Mapping the supply of unclear origin uniformity of the quality of the coffee making is difficult to determine. This effect on selling prices decreased overall coffee farmers to the detriment of farmers with good quality coffee. The good name of the cooperative from the viewpoint of importers deteriorate as evidenced by a decrease in the purchase price of the importer in the contract.The sampling process quality coffee supply also becomes difficult because unhomogenity supply region. Supply region is crucial to the quality of the coffee due influenced the position and height of the land. Thus, this research is expected to help formulate clusters of farmers so that the quality and price of coffee could be improved both in terms of farmers and exporters. The last hope of course the welfare of farmers and other stakeholders could be better.Keywords : Data Mining, Optimization, Gayo Arabica Coffee, Supply Chain

scholarly journals OPTIMALISASI PENENTUAN SUMBER PASOKAN KOPI ARABIKA GAYO MELALUI PENDEKATAN HIRARCHICAL CLUSTERING DATA MINING

2018 ◽  
Vol 3 (4) ◽  
Author(s):  
Arie Saputra
Keyword(s):  
Data Mining ◽  
Added Value ◽  
Purchase Price ◽  
Arabica Coffee ◽  
Sampling Process ◽  
Coffee Farmers ◽  
Clustering Data ◽  
The Right

Gayo coffee scattered in the mountains and being in two districts of the central highlands and Central Aceh district has become the center of world attention. Gayo Arabica coffee has a unique manifold and the added value created by the mountainous nature Gayo. This factor makes Gayo Arabica coffee has the added value that is not replaceable by other similar commodities. The success of the stakeholders Gayo coffee obtain certification which is organic, fairtrade, coffee practice and Geographic indication that can be a proof of the worldwide recognition of the quality and added value of this coffee. The average price of the last on the coffee harvest season in March 2012 ranged between Rp 100.000,- until Rp 110.000,- in each Kg grean bean on exporter level. Determination of clusters of farmers the right so that the quality and price of supplies could be predicted well by the cooperative as exporters are very important. These routes and ketelusuran origin coffee blend in one location with other location mebuat coffee quality decreases. Mapping the supply of unclear origin uniformity of the quality of the coffee making is difficult to determine. This effect on selling prices decreased overall coffee farmers to the detriment of farmers with good quality coffee. The good name of the cooperative from the viewpoint of importers deteriorate as evidenced by a decrease in the purchase price of the importer in the contract.The sampling process quality coffee supply also becomes difficult because unhomogenity supply region. Supply region is crucial to the quality of the coffee due influenced the position and height of the land. Thus, this research is expected to help formulate clusters of farmers so that the quality and price of coffee could be improved both in terms of farmers and exporters. The last hope of course the welfare of farmers and other stakeholders could be better.Keywords: Data Mining, Optimization, Gayo Arabica Coffee, Supply Chain

scholarly journals THE CONTACT ANGLE CONTROL OF THE SOLDER FOR IMPROVING THE SOLDERING QUALITY

2021 ◽  
pp. 161-166
Author(s):  
Чуйко М.М. ◽  
Завальський В.
Keyword(s):  
Contact Angle ◽  
Sessile Drop ◽  
Electrical Contact ◽  
Contact Angle Measurement ◽  
Angle Measurement ◽  
Soldering Process ◽  
Basic Parameters ◽  
The Right

High quality of the soldering process can be achieved with the right choice of the necessary soldering materials. Since wetting determines the further nature of the connection between the solder and the main soldering material, the contact angle  measurement  is the basis for quality control of soldering materials, provided that the basic requirements of the technological process. The determination of the contact angle value is carried out by the indirect method of the sessile drop, by measuring the basic parameters of the drop using infrared transducer. A smaller value of the contact angle corresponds to a better interaction of materials, and hence a better electrical contact

scholarly journals SUPPLY CHAIN AND VALUE-ADDED ANALYSIS OF LAHAT COFFEE ON COFFEE SHOP IN PALEMBANG CITY

2021 ◽  
Vol 5 (1) ◽  
pp. 126-133
Author(s):  
Afriyani Afriyani ◽  
Muhammad Yazid ◽  
Desi Aryani
Keyword(s):  
Supply Chain ◽  
Value Added ◽  
Raw Material ◽  
Added Value ◽  
Coffee Bean ◽  
Coffee Shop ◽  
Robusta Coffee ◽  
Coffee Farmers ◽  
Coffee Shops

Lahat is one of the Robusta coffee production centers in South Sumatra. The coffee beansproduced by this district are often used as raw material in the coffee shop in Palembang because of thedistinctive taste and aroma that coffee lovers love. Coffee shops opens new opportunities for Robustacoffee farming. This study aims to analyze the flow of the supply chain and the added value of Lahatcoffee beans used by coffee shop. This research was conducted through a survey of four coffee shops inPalembang. The results showed that there are two supply chain lines, (1) coffee farmers - collectors -retailers - market traders - consumers; (2) coffee farmers - processors - coffee shops - consumers. Thesecond pattern is better and more profitable than the first pattern because the quality of the coffeeproduced is higher. The average added value obtained from processing one kilogram of coffee cherriesinto ground coffee is Rp. 158,132.94, coffee bean into green bean is Rp. 427,798.55, and green beaninto a cup of coffee is Rp. 1,029,269.00. This value indicates that processing the coffee cherries intopowder and processing the selected coffee cherries in coffee shop are profitable.

scholarly journals Caféiculture Et Accès Aux Soins De Santé Au Burundi : Analyse De La Dynamique Des Mutuelles De Santé Des Caféiculteurs De La Province Kayanza Au Nord Du Burundi

2018 ◽  
Vol 14 (3) ◽  
pp. 427
Author(s):  
Ndabarushimana Alexis
Keyword(s):  
Health Care ◽  
Health Care Quality ◽  
Care Quality ◽  
Accès Aux Soins ◽  
Qualitative Approaches ◽  
Interview Guide ◽  
Coffee Farmers ◽  
Coffee Sector

This article highlights the dynamics of health mutuals of coffee farmers in Kayanza province. It shows the factors related to difficulties in accessing health care for coffee growers in Kayanza province. These factors are fundamentally linked to the socio-economic environment that structures the living conditions of coffee growers in a world where the Burundian government has opted a ‘‘laissez-faire’’ and ‘‘laissez-aller’’ policy in the coffee sector. In order to do this, we opted for qualitative approaches with the use of the interview guide and quantitative with the use of a questionnaire administered directly to the coffee growers of Kayanza province. In this situation of self-determination of coffee growers, this article highlights the constraints faced by mutual health organizations in their mission to be able to access health care quality of coffee farmers after having shown the role played by mutuals and FEMUSCABU in promoting the solidarity of coffee farmers in Kayanza province. This article also highlights how mutualists behave with their social vulnerability.

scholarly journals PENERAPAN METODE K-MEANS UNTUK PEMETAAN CALON PENERIMA JAMKESDA

2018 ◽  
Vol 5 (2) ◽  
pp. 190
Author(s):  
M. Nanda Variestha Waworuntu ◽  
Muhammad Faisal Amin
Keyword(s):  
Data Mining ◽  
Health Insurance ◽  
Social Welfare ◽  
Community Service ◽  
Regional Health ◽  
The Social ◽  
Value Determination ◽  
The Right ◽  
To Receive

<p><em>Kelurahan Kemuning, one of the Social Welfare Section, there is poor community service to receive Regional Health Insurance. During this section of Social Welfare Section in Kelurahan Kemuning, there is no method that can classify the level of poverty so that the beneficiaries on target, so the Kelurahan can't prevent the inaccuracies. Therefore, poverty grouping can assist Kelurahan in making the right decision to prevent the inaccuracies of recipients of Regional Health Insurance. In this research, the application of the k-means method is implemented in an application made with 2 clusters. This study uses as many as 440 data samples. From result of calculation of Davies Bouldin Index obtained value determination of cluster amount with value 2 cluster (0,243), 3 cluster (0,256), 4 cluster (0,275). The value used is 2 clusters because the value is close to 0</em><strong><em>.</em></strong></p><p><em><strong>Keywords</strong></em><em>: </em>:<em> data mining, k-means, poverty, davies bouldin index</em> </p><p><em>Pada Kelurahan Kemuning salah satunya Seksi Kesejahteraan Sosial (KESSOS) terdapat pelayanan masyarakat miskin untuk menerima bantuan Jaminan Kesehatan Daerah (JAMKESDA). Selama ini bagian Seksi KESSOS pada Kelurahan Kemuning belum ada metode yang dapat mengelompokkan tingkat kemiskinan agar penerima bantuan tepat sasaran, sehingga pihak Kelurahan tidak dapat mencegah ketidaktepatsasaran tersebut. Oleh sebab itu, pengelompokan kemisikinan dapat membantu pihak Kelurahan dalam mengambil keputusan yang tepat untuk mencegah ketidaktepatsasaran penerima JAMKESDA. Pada penelitian ini, penerapan metode K-Means diimplementasikan pada aplikasi yang dibuat dengan 2 klaster. Penelitian ini menggunakan sebanyak 440 sampel data. Dari hasil perhitungan Davies Bouldin Index diperoleh nilai penentuan jumlah cluster dengan nilai 2 klaster (0.243), 3 klaster (0.256), 4 klaster (0.275). Nilai yang digunakan adalah 2 klaster karena nilai tersebut mendekati 0.</em></p><em><strong>Kata kunci</strong></em><em>: </em><em>data mining, k-means, kemiskinan, davies bouldin index</em>

EFFECT OF SATISFACTION TOWARDS COMMITMENTS WITH BANK BNI CUSTOMERS (PERSERO) TBK. NAMLEA BRANCH (Pengaruh Kepuasan Terhadap Komitmen Bank BNI Terhadap Nasabah (persero)Tbk. Cabang Namlea)

2021 ◽  
Author(s):  
HARZIKO
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Field Research ◽  
Problem Formulation ◽  
Added Value ◽  
Literature Study ◽  
Education Data ◽  
Quantitative Data Analysis ◽  
The Right

AbstractThe problem of satisfaction and trust in marketing strategies is important to pay attention to the foster commitment that leads to customer loyalty which will then generate added value for the banking company itself. With customers' full trust and satisfaction from the customers themselves, of course, PT. Bank BNI Namlea Branch will be favored by customers. Through the background above, what is the problem formulation of this research is how is the effect of satisfaction on the commitment of the Bank BNI (Persero) TBK customers. Namlea branch. The location of this research is located at Bank BNI (Persero) Namlea branch which is located at JL. Ahmad Yani Namlea, Buru Regency, next to the left of the PD Cantik shop, and on the right is my father's restaurant. While the author's research time to get the data needed is 2 (two) months, from January to February. The population in this study were customers who used savings at the Bank BNI Namlea branch, Buru Regency. This population is heterogeneous which can be seen from the diversity of age, sex, and education. Data collection was carried out by field research methods (field research) with data collection techniques namely questionnaires, interviews, and literature study. The type of data in this research is qualitative data analysis and quantitative data analysis. The results show that based on the results of the analysis of the distribution of respondents' answers, Bank Negara Indonesia must always improve the quality of the goods/services provided, where the Bank BNI Namlea branch must continue to strive to fulfill expectations and conformity to customer needs so that customer satisfaction is created. It is suggested that PT. Bank BNI Namlea branch is providing the best service through product quality, improved facilities such as parking lots and waiting rooms. Banks must be responsive in serving customers who will make transactions so that they don't feel bored while waiting/queuing to make transactions.Keywords: Satisfaction, Customer, Bank BNI Namlea

scholarly journals ANALISIS NILAI TAMBAH AGROINDUSTRI PENGOLAHAN KOPI ARABIKA EKSPOR DI KABUPATEN ACEH TENGAH (STUDI KASUS PADA KSU SARA ATE)

2019 ◽  
Vol 4 (1) ◽  
Author(s):  
Peggi Epaga ◽  
Akhmad Baihaqi ◽  
Muji Burrahmad ◽  
Elly Susanti
Keyword(s):  
Value Added ◽  
Efficiency Analysis ◽  
Added Value ◽  
Green Bean ◽  
Analysis Method ◽  
Processing Industry ◽  
Arabica Coffee ◽  
Marketing Efficiency ◽  
Value Of Marketing

AbstrakPenelitian ini bertujuan untuk mengetahui seberapa besar agroindustri pengolahan kopi arabika ekspor pada KSU Sara Ate di Kabupaten Aceh Tengah dapat menciptakan nilai tambah untuk kopi dan untuk mengetahui apakah sudah efesien pemasaran kopi arabika ekspor pada KSU Sara Ate di Kabupaten Aceh Tengah. Penentuan lokasi penelitian ini ditentukan secara sengaja (Purposive) dengan pertimbangan karena industri pengolahan kopi ini berproduksi secara berkesinambungan dan juga merupakan salah satu industri pengolahan kopi di Aceh Tengah. Metode analisis yang digunakan pada penelitian ini adalah metode analisis nilai tambah model hayami dan metode analisis efesiensi pemasaran. Hasil analisis menunjukkan nilai tambah kopi arabika ekspor green bean grade 1 (spesialty) pada KSU Sara Ate sedang, dan green bean grade 2 (premium) rendah. Berdasarkan nilai efesiensi pemasaran green bean grade 1 dan green bean grade 2  pada KSU Sara Ate pemasaran dinilai efesien. Nilai tersebut memenuhi syarat ketentuan dimana jika EP 0-50 % pemasaran dinilai efesien.AbstractThis study aims to find out how big arabica coffee processing export agroindustry in KSU Sara Ate in Central Aceh Regency can create added value for coffee and to know whether it has efficient marketing arabica coffee export at KSU Sara Ate in Central Aceh regency. Determination of the location of this study is determined purposively (Purposive) with consideration because the coffee processing industry is producing continuously and is also one of the coffee processing industry in Central Aceh. The method of analysis used in this research is the value added analysis method of hayami model and marketing efficiency analysis method. The analysis result shows the value of arabica coffee export of green bean grade 1 (specialty) on KSU Sara Ate being, and green bean grade 2 (premium) low. Based on the value of marketing efficiency of green bean grade 1 and green bean grade 2 on KSU Sara Ate marketing is considered efficient. The value is eligible provisions where if 0-50% EP marketing is considered efficient.Keywords: Value-added, Marketing Efficiency, Arabica Export Coffee AbstractThis study aims to find out how big arabica coffee processing export agroindustry in KSU Sara Ate in Central Aceh Regency can create added value for coffee and to know whether it has efficient marketing arabica coffee export at KSU Sara Ate in Central Aceh regency. Determination of the location of this study is determined purposively (Purposive) with consideration because the coffee processing industry is producing continuously and is also one of the coffee processing industry in Central Aceh. The method of analysis used in this research is the value added analysis method of hayami model and marketing efficiency analysis method. The analysis result shows the value of arabica coffee export of green bean grade 1 (specialty) on KSU Sara Ate being, and green bean grade 2 (premium) low. Based on the value of marketing efficiency of green bean grade 1 and green bean grade 2 on KSU Sara Ate marketing is considered efficient. The value is eligible provisions where if 0-50% EP marketing is considered efficient.Keywords: Value-added, Marketing Efficiency, Arabica Export Coffee

scholarly journals Determination of the mixing extent of sugar from C4 plants in juice using the isotopic signature of carbon (δ13C) in sugar

2021 ◽  
Vol 63 (3) ◽  
pp. 60-64
Author(s):  
Lan Anh Ha ◽  
◽  
Duc Khue Pham ◽  
Dinh Kien Mai ◽  
Thi Tuoi Nguyen ◽  
...  
Keyword(s):  
Apple Juice ◽  
Isotopic Signature ◽  
C4 Plants ◽  
Carbon Stable Isotope ◽  
Pee Dee ◽  
Isotope Ratio Mass Spectrometer ◽  
The Right ◽  
End Members

The objective of this study was to apply a method for estimating the mixing extent of C4 sugar in juice (apple) based on the fingerprinting of carbon stable isotope (δ13C). The values of δ13C in sugar separated from fresh apples, pure apple juices as well as sugar produced from C4 plants (plants conduct C4 cycle photo-synthesis, in this case, it was sugar canes) were analysed on an isotope ratio mass spectrometer equipped with an elemental analyzer (EA IRMS). The results showed that the δ13C in sugar separated from fresh apples was in the range of -27.00 to -24.00‰ with an average of -25.47‰ (n=6) vs. VPDB standard (Vienna Pee Dee Belemnite). Meanwhile, the δ13C in sugar cane products ranged from -13.00 to -11.00‰, with an average of -12,47‰ vs. VPDB. Based on the isotope signature of carbon (δ13C) and the two end-members mixing model, the extent of mixing C4 sugar in apple juice available on the market could be estimated precisely. It was found one out of 9 apple juice samples available in the Hanoi markets to have a high content of C4 sugar mixed in the product, it was up to 96% instead of 5% as proclaimed on the label. The developed method seems to be of high accuracy so it was advisable to wider its application in the evaluation of the quality of juices available at the markets in Vietnam to ensure the right of the consumers.

scholarly journals Implementation of K-Medoids and FP-Growth Algorithms for Grouping and Product Offering Recommendations

2019 ◽  
Vol 2 (2) ◽  
pp. 107
Author(s):  
Imaduddin Syukra ◽  
Assad Hidayat ◽  
Muhammad Zakiy Fauzi
Keyword(s):  
Data Mining ◽  
Association Rule ◽  
Market Basket ◽  
Transaction Data ◽  
A Value ◽  
Using Data ◽  
The Right ◽  
A Company ◽  
Technical Recommendations

212 Mart Rambutan Street on Pekanbaru City is a company engaged in retail. Meeting the needs of consumers and making the right decision in determining the sales strategy is a must. One way to find out market conditions is to observe sales transaction data using data mining. The data mining method commonly used to analyze market basket (Market Basket Analysis) is the Association Rule. The Association Rule can provide product recommendations and promotions, so that the marketing strategy is more targeted and the items promoted are the customer's needs. At 212 Mart, the determination of product promotion is obtained from the analysis of sales transaction data reports, which are based on the most sold products and the expiration date. Often the product being promoted does not fit the customer's needs. The purpose of this study is to apply the K-Medoids algorithm for clustering on FP-Growth in producing product recommendation rules on a large number of datasets so that they can provide technical recommendations / new ways to the 212 Mart in determining product promotions. The results obtained are from the experiments the number of clusters 3 to 9 obtained optimal clusters of 3 clusters based on the validity test of the Davies Bouldin Index with a value of 0.678. With a minimum support value of 5% - 9% and a minimum value of 50% confidence, the result is that the Association Rule is found only in cluster 3 with 5 rules.

scholarly journals Determination of influencing metricsin water fall model

2018 ◽  
Vol 7 (2.26) ◽  
pp. 7
Author(s):  
K David ◽  
R Anand
Keyword(s):  
Critical Role ◽  
Project Manager ◽  
Senior Management ◽  
Project Teams ◽  
Cycle Model ◽  
The Right ◽  
The Cost ◽  
The Relationship

You cannot control what you can’t measure - Tom DeMarco -Metrics plays a critical role in any industry. The metrics can tell the senior management the health of the activity in that organization. In the paper, we have studied the relationship between the metrics and the quality of deliverables. Once the right metrics are identified for a particular phasein the life cycle model it will help the project manager to proactive-ly detect the issues earlier and arrest the defects. This can help the project teams to deliver the product on time without defects. There by the cost of the projects can be reduced which in turn will have high customer satisfaction.  

Sign in / Sign up

Export Citation Format

Share Document