Metode Forward Chaining pada Sistem Pakar Penilaian Kualitas Biji Kopi Berbasis Web

Raharjo, Budi; Agustini, Fajar

doi:10.23887/ijnse.v4i2.28578

Cited by 5 publications

(5 citation statements)

References 16 publications

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“…Secara umum tiga spesies kopi dikenal di Indonesia. Coffea arabica dan C. canephora (yang terkenal dengan sebutan kopi robusta) umum dibudidayakan dan bernilai ekonomis (Sativa et al, 2014;Wachamo, 2017) serta C. liberika yang pembudidayaannya tidak mendominasi (Raharjo & Agustini, 2020). Dalam dunia perdagangan, nama spesies itu diabaikan karena yang muncul adalah kopi disertai nama geografis tempat tumbuh atau tempat pembudidayaannya sebagai pembeda, seperti kopi gayo, kopi mandailing, kopi lampung, kopi toraja, dan kopi pinogu.…”

Section: Aspek Linguistikunclassified

Kajian Etnobotani Famili Rubiaceae di Kebun Raya Banua Banjarbaru, Kalimantan Selatan, Indonesia

Murdiyanti

Soendjoto

Zaini

2022

Agro. Bali. Agric. J.

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Informasi tumbuhan famili Rubiaceae koleksi Kebun Raya Banua (KRB), Banjarbaru masih terbatas dan perlu dieksplorasi untuk lebih memfungsikan KRB, terutama sebagai wahana penelitian, pendidikan, dan penyuluhan lingkungan. Penelitian bertujuan untuk menjelaskan karakter botani bagian tumbuhan (batang, daun, buah, dan bunga, tidak termasuk akar) famili tersebut serta menganalisis aspek farmakologi, ekonomi, antropologi, dan linguistiknya. Delapan spesies tumbuhan koleksi KRB diamati langsung dan didata. Wawancara kepada masyarakat (15 responden) Kampung Purun dilaksanakan untuk mengungkap aspek-aspek tersebut. Karakter botani sebagian spesies dapat dijelaskan dari pengamatan langsung. Sebagian lagi dijelaskan berdasarkan pada referensi karena bagian tumbuhannya (bunga, buah) tidak ditemukan atau belum berkembang. Masyarakat memiliki catatan tersendiri terkait dengan keempat aspek tersebut. Catatan ini perlu diperdalam atau diuji lebih lanjut. Kayu sepat atau kratom adalah tumbuhan yang sudah dipublikasi detail dan dikenal di seluruh dunia.

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Section: Aspek Linguistikunclassified

Kajian Etnobotani Famili Rubiaceae di Kebun Raya Banua Banjarbaru, Kalimantan Selatan, Indonesia

Murdiyanti

Soendjoto

Zaini

2022

Agro. Bali. Agric. J.

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“…Perkembangan bisnis saat ini sangat berkembang pesat salah satu bentuk usaha yang sedang naik di indonesia yaitu coffee shop [2]. Dalam proses bisnis sebuah produk harus memiliki keunggulan yaitu berupa kualitas supaya dapat bertahan dalam dunia persaingan [3] oleh karna itu sebuah perusahaan harus tetap fokus pada kualitas produk [4] kualitas produk adalah salah satu faktor yang mempengaruhi harga serta keunggulan kopi. Hasil survei pada salah satu desa penghasil kopi di sumbawa NTB mengatakan bahwa Pentingnya sebuah kualitas biji kopi mempengaruhi produktifitas kopi rumahan dikarenakan setiap konsumen memiliki permintaan yang berbedabeda ini merupakan salah satu alasan kenapa penting dilakukan klasifikasi.…”

Section: Pendahuluanunclassified

Klasifikasi Kualitas Biji Kopi Menggunakan MultilayerPerceptron Berbasis Fitur Warna LCH

Ilhamsyah

Rahman

Istiadi

2021

RESTI

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Coffee is one of Indonesia's foreign exchange earners and plays an important role in the development of the plantation industry. In previous studies, coffee bean quality research has been carried out using the ANN method using color features. RGB and GLCM. However, the results carried out in the study only had an accuracy value of up to 47%. Therefore, this study aims to improve the performance of coffee bean quality classification using four machine learning methods and 7 color features. From the results obtained, it shows that MultilayerPerceptron is better starting with RGB color with an accuracy of 38% split ratio 90:10. HSV has an accuracy of 57% split ratio 90:10. CMYK has an accuracy of 63% split ratio 90:10. LAB has a 58% curation split ratio of 90:10. The YUV type has an accuracy of 58% split ratio 90:10. Furthermore, the HSI color type has an accuracy of 42% split ratio 90:10. The HCL color type has an accuracy of 65% split ratio 90:10 and LCH has an accuracy of 78% split ratio 90:10. In testing, it can be concluded that the MultilayerPerceptron method is better than other methods for the coffee bean classification process.

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“…The genetic traits of coffee beans and the growing environment determine the bean classes and sensory attributes (taste) of coffee [5]. The physical quality of coffee beans produced is varied and inconsistent and some of them do not meet the SNI 01-2907-2008 [6]. Lots of coffee beans produced have no comprehensive advantages and are unable to compete in the global market.…”

Section: Introductionmentioning

confidence: 99%

“…Defects are often found in coffee beans consisting of broken beans, brown beans, black beans, or hollow beans [7] [8]. Indonesia cannot compete with Brazil, Vietnam, and Colombia in the global market [9][10] [11] despite its high geographical variation of coffee producer areas that have the potential to be developed to increase Indonesia's coffee competitiveness in the global market [6]. Halmahera Island is the largest island in Maluku Islands, Indonesia.…”

Section: Introductionmentioning

confidence: 99%

Bean quality and taste of robusta coffee (Coffea canephora Pierre ex A. Froehner) from Bale village on Halmahera Island, Indonesia

Bahtiar¹,

Tamalene²,

Suparman³

et al. 2023

GSC Adv. Res. Rev.

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North Maluku is one of the provinces producing Robusta coffee (Coffea canephora Pierre ex A. Froehner) in Indonesia. Although coffee production is smaller than in other provinces, coffee can be found in many locations in the provinces, namely Halmahera Island, Bacan, Obi, Tidore, and Ternate. Bale Village, located on Halmahera Island, is one of the villages in the Oba sub-district, Tidore Island. The village is known on Halmahera Island, Ternate Island, and the surrounding areas as a producer of coffee beans and coffee powder. Some of the people in the village live as farmers and home coffee entrepreneurs using traditional processing methods. The quality and taste of the coffee beans from smallholder coffee plantations from Halmahera Island, especially Bale Village, need to be studied to set the status of bean quality and taste of local coffee in Indonesia. This study is an effort to gain an initial illustration that will become a foundation for a comprehensive local coffee development in North Maluku. It will encourage resorts to generate local coffee with a unique taste that is widely known, favored by many people, and has the potential to be a Geographical Indicator (IG) of Halmahera coffee. The research result indicates that Robusta coffee beans from Bale Village Halmahera Island are free from live insects, not rotten or moldy, and do not contain foreign matters with moisture content meets the general requirement of SNI 01-2907-2008. The result of quality testing of Robusta coffee beans from Bale village is within the criteria of quality 4b in the SNI 01-2907-2008. The attributes of coffee taste consisting of fragrance/aroma, flavour, bitter/sweet, and mouthfeel/body are in an excellent category, whereas clean cup and uniformity are in an outstanding category. The final score and cup testing is 84.62, which is in the specialty coffee category.

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Metode Forward Chaining pada Sistem Pakar Penilaian Kualitas Biji Kopi Berbasis Web

Cited by 5 publications

References 16 publications

Kajian Etnobotani Famili Rubiaceae di Kebun Raya Banua Banjarbaru, Kalimantan Selatan, Indonesia

Kajian Etnobotani Famili Rubiaceae di Kebun Raya Banua Banjarbaru, Kalimantan Selatan, Indonesia

Klasifikasi Kualitas Biji Kopi Menggunakan MultilayerPerceptron Berbasis Fitur Warna LCH

Bean quality and taste of robusta coffee (Coffea canephora Pierre ex A. Froehner) from Bale village on Halmahera Island, Indonesia

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