scholarly journals KLASIFIKASI VARIETAS KOPI BERDASARKAN GREEN BEAN COFFEE MENGGUNAKAN METODE MACHINE LEARNING

2020 ◽  
Vol 1 (2) ◽  
pp. 1-5
Author(s):  
M. Agung Nugroho ◽  
Maria Mediatrix Sebatubun
Keyword(s):  
Machine Learning ◽  
Green Bean ◽  
Second Opinion ◽  
Coffee Shop ◽  
Single Origin

Kopi memiliki jenis yang terdiri dari kopi robusta dan kopi arabika. Kopi arabika memiliki beragam varietas berdasarkan daerah asal atau dikenal dengan nama single origin. Petani dan coffee expert membedakan varietas kopi arabika melalui bentuk dan karakter dari green bean atau kopi mentah. Perbedaan ciri ini meliputi perbedaan warna, bentuk, atau tekstur. Setiap varietas kopi memiliki harga yang berbeda-beda tergantung dari jenis varietasnya. Walaupun demikian, tidak semua petani, dan pemilik coffee shop mampu mengenali varietas kopi dengan hanya melihat green bean. Sehingga, bisa terjadi kesalahan dalam mengenali varietas kopi jika pemilik coffee shop tidak mengetahui pengetahuan tentang kopi. Hal ini bisa disolusikan dengan pemodelan yang dapat mengidentifikasi varietas kopi arabika agar dapat digunakan sebagai second opinion untuk mengindentifikasi varietas kopi arabika. Salah satu metode yang digunakan adalah metode pencitraan. Penelitian ini dimulai pada tahap pra-proses yaitu cropping citra, tahapan selanjutnya adalah melakukan proses klasifikasi menggunakan metode Machine Learning. Metode ini dapat melakukan ekstraksi fitur secara otomatis sehingga tahap pengenalan varietas kopi dapat dilakukan dengan lebih cepat dan diharapkan mampu memberikan tingkat akurasi yang tinggi.

P PROSPEK INDUSTRI PENGOLAHAN KOPI DI KABUPATEN KERINCI

2021 ◽  
Vol 5 (2) ◽  
pp. 1172-1189
Author(s):  
May Ervina
Keyword(s):  
Green Bean ◽  
Coffee Shop

Kabupaten Kerinci memiliki potensi yang besar untuk pengembangan agroindustri kopi selain luasan lahan dan produktifitasnya yang tinggi juga memiliki coffee shop yang tersebar diberbagai tempat. Penelitian ini bertujuan untuk menentukan jenis produk kopi apa yang prospektif, pemasaran produk kopi yang prospektif dan melihat kelayakan teknis dan finansial untuk pengembangan agroindustri kopi di Kabupaten Kerinci. Penelitian ini menggunakan metode deskriptif. Berdasarkan analisis diketahui bahwa produk kopi yang prospektif di Kabupaten Kerinci adalah green bean, dimana faktor yang paling mempengaruhi dalam penentuan produk ini adalah jenis bahan baku. Pengolahan green bean dilakukan dengan teknik full wash agar menghasilkan green bean dengan keseragaman yang baik. Unit Usaha pengelolaan green bean ini berada di Jalan Raya Batang Sangir, Kecamatan Kayu Aro Kabupaten Kerinci. Berdasarkan hasil perhitungan analisis kelayakan finansial diperoleh hasil NPV sebesar Rp 263.987.014, IRR sebesar 14,7%. dan Net B/C sebesar 1,54.. Dari hasil tersebut dapat diketahui bahwa pengelolaan green bean di Kabupaten Kerinci layak untuk dijalankan, Berdasarkan hasil perhitungan PP, dapat diketahui bahwa pengelolaan green bean akan memperoleh kembali dana investasi yang telah dikeluarkan dalam kurun  waktu 4,6  tahun.

scholarly journals Perancangan Chatbot Menggunakan Dialogflow Natural Language Processing (Studi Kasus: Sistem Pemesanan pada Coffee Shop)

2020 ◽  
Vol 4 (1) ◽  
pp. 208
Author(s):  
Albert Yakobus Chandra ◽  
Didik Kurniawan ◽  
Rahmat Musa
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Information Technology ◽  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Information Services ◽  
Human Language ◽  
Coffee Shop ◽  
The Impact

Some cases that are often experienced at a particular institution such as Micro Enterprise are often a staff / employee in providing information services and transactions that are carried out manually to customers related to these business activities. This cycle always repeats from one customer to another. The impact if there are conditions where the queue of customer that is quite crowded than the workload of staff/employees will be higher and the risk of error in transactions will be high too. The development of information technology in artificial intelligence on 4.0 industry era is moving forward. One of them is Machine Learning - Natural Language Processing (NLP) which is one of the sciences that focuses on how computers can understand the human language and response to it. Therefor in this research a chatbot system will be builtin providing information and conducting transaction with the customers. This chatbot will be develop using the Dialogflow tools provided by Google. This Chatbot that was build expected to be an alternative that can be implemented in various bussines to provide better service for customers

scholarly journals Contesting Indonesia’s Single Origin Coffee Market: A Dynamic Capabilities Perspective

2018 ◽  
Vol 14 (8) ◽  
pp. 91 ◽  
Author(s):  
Mangku Purnomo
Keyword(s):  
Dynamic Capabilities ◽  
Social Space ◽  
Environmental Changes ◽  
Local Level ◽  
Coffee Bean ◽  
Business Organizations ◽  
Coffee Shop ◽  
Single Origin ◽  
Coffee Markets

Coffee is a commodity that has high value and great demand, then it supply chain tends to be monopolized by big actors certainly for single origin coffee bean. However, increasing number of local coffee shops and consumer awareness of consumed goods, and the emergence of more conscious consumer groups of “coffee lovers” or “connoisseur’s consumers”, sparks an intesive competition among market actors in local level that influence such dominance. This study aims to employ the dynamic capabilities theories (DCs) to analyze how the market actors, namelysmall traders, wholesalers, certified companies, and coffee shop owners build a strategy to secure their coffee supply amidst the tight competition.Selecting the coffee markets in Dampit District, East Java, Indonesia, we find the actors fighting for social space to win the competition by building network, dependency, and legitimacy. Actors build capabilities based on the internal potential to identify opportunities, take the opportunities, and utilize them to transform business organizations to survive rapid environmental changes. Not just looking at dominance behaviors as how it is in the case of asset-based approach, DCs provide a more balanced perspective between the entrepreneur's capacity and asset control. Detailed research to see each actor builds long term strategies is needed in the future to describe in more detail their strategy in maintaining their business sustainability in the more competitive busisness environment.

What Makes Medical Systems Indian?: A Consideration of Doctor, Family, and Gender in India

1986 ◽  
Vol 2 (2) ◽  
pp. 243-252 ◽  
Author(s):  
Helen E. Sheehan
Keyword(s):  
Short Story ◽  
Medical Equipment ◽  
Second Opinion ◽  
Doctor Who ◽  
Medical Systems ◽  
Coffee Shop ◽  
Local Doctor ◽  
The Family ◽  
Leave Taking ◽  
And Gender

In a short story entitled “Second Opinion,” R. K. Narayan, one of India's foremost writers in English, introduces us to Sambu, a young man who spends his days and nights at the “Boardless” coffee shop with friends, avoiding work, marriage, and his widowed mother. One day a local doctor, Dr. Kishen, informs Sambu that his mother is suffering from fainting spells, possibly a heart condition, and is in a “leave-taking” (dying) mood. Dr. Kishen, who knows the family, suggests to Sambu that he marry, thereby easing his mother's anxieties and ill health, and making her last days happy. However, he also gives his usual advice to get a “second opinion.” Sambu does, taking his mother to Dr. Natwar, a foreign-trained doctor, who has a spotless clinic with many rooms housing the latest medical equipment, a contrast to Dr. Kishen's ill-equipped, disorderly clinic. After his mother has undergone tests, Sambu meets with Dr. Natwar. The doctor gives him various documents and states that they show there is nothing wrong with his mother. Thus, armed with irrefutable proof provided by technology, Sambu avoids marriage and responsibility; his mother, afraid of losing her son altogether, acquiesces to his wishes, telling him to do whatever he wants (5).

scholarly journals Drowsiness Detection for Motorized Vehicles Using Machine Learning

2021 ◽  
Vol 9 (9) ◽  
pp. 1684-1689
Author(s):  
Ms. Twinkle P George
Keyword(s):  
Machine Learning ◽  
Real Time ◽  
High Speed ◽  
Video Stream ◽  
Coffee Shop ◽  
Drowsy Driving ◽  
Camera System ◽  
Machine Learning Model ◽  
Motorized Vehicles ◽  
Coffee Shops

Abstract: Driver drowsiness is one of the major causes for most of the accidents in the world. Detecting the driver's eye tiredness is the easiest way for measuring the drowsiness of the driver. The advent of high-speed motorized vehicles drowsy driving accidents has claimed the lives of millions of people across the globe. To avoid such accidents, proposes a Machine Learning based system drowsiness system for motorized vehicles with alarm and Web Push Notifications to notify the driver before any accident occurs. The driver's face is captured by a real-time camera system, and the eye borders are detected by a pre-trained machine learning model from the real-time video stream. Then each eye is represented by 6 – coordinates (x, y) starting from the left corner of the eye and then working clockwise around the eye. The EAR (Ear Aspect Ratio) is calculated across 20 consecutive frames, and if it falls below a certain threshold, it sounds an alarm and sends the details of the nearest coffee shop to your mobile device via a Web Push Notification. When the alarm is activated, it also displays a list of nearby coffee shops to help the driver stay awake. Keywords: Machine Learning, SVM, MOR, EAR

Mind wandering as data augmentation: How mental travel supports abstraction

2020 ◽  
Vol 43 ◽  
Author(s):  
Myrthe Faber
Keyword(s):  
Machine Learning ◽  
Data Augmentation ◽  
Mental Content ◽  
Mind Wandering ◽  
Theoretical Framework ◽  
Important Addition

Abstract Gilead et al. state that abstraction supports mental travel, and that mental travel critically relies on abstraction. I propose an important addition to this theoretical framework, namely that mental travel might also support abstraction. Specifically, I argue that spontaneous mental travel (mind wandering), much like data augmentation in machine learning, provides variability in mental content and context necessary for abstraction.

Data Mining and Machine Learning

2020 ◽  
Author(s):  
Mohammed J. Zaki ◽  
Wagner Meira, Jr
Keyword(s):  
Machine Learning ◽  
Data Mining

Mathematics for Machine Learning

2020 ◽  
Author(s):  
Marc Peter Deisenroth ◽  
A. Aldo Faisal ◽  
Cheng Soon Ong
Keyword(s):  
Machine Learning
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