cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Noor Ariefandie.
Contact Email
noor.ariefandie@gmail.com
Phone
-
Journal Mail Official
pelita.iccri@gmail.com
Editorial Address
-
Location
Unknown,
Unknown
INDONESIA
Pelita Perkebunan
Published by Pusat Penelitian Kopi dan Kakao Indonesia
ISSN : 02150212     EISSN : 24069574     DOI : https://doi.org/10.22302/iccri.jur.pelitaperkebuna
Core Subject : Agriculture,
Agriculture, Biological Sciences & Forestry
Pelita Perkebunan, Coffee and Cocoa Research Journal (CCRJ): ISSN:0215-0212 Since its establishment in 1911, Indonesian Coffee and Cocoa Research Institute (ICCRI) formerly Besoekisch Proefstation, had published its research findings through a journal call Mededelingen van het Besoekisch Proefstation. Between 1948-1981 the research institute was under the supervision of Bogor Research Institute for Estate Crops, and published its research findings through De Bergcultures which was later changed to Menara Perkebunan. Since the institute held the national mandate for coffee and cocoa commodities, and due to rapid increase in the research findings, ICCRI published its first issue of Pelita Perkebunanjournal in April 1985. Pelita Perkebunanis an international journal providing rapid publication of peer-reviewed articles concerned with coffee and cocoa commodities based on the aspects of agronomy, plant breeding, soil science, crop protection, postharvest technology and social economy. Papers dealing with result of original research on the above aspects are welcome, with no page charge. Pelita Perkebunan is managed by Indonesian Coffee and Cocoa Research Institute (ICCRI), which publish the research findings not only for coffee and cocoa but also other commodities relevant with coffee and cocoa, i.e. shade trees, intercrops and wind breakers.
Arjuna Subject : -
Articles 6 Documents
 1 
Search results for , issue "Vol. 40 No. 3 (2024)" : 6 Documents clear
Digital Imaging-Assisted Characterization of Plants’ Morphological Features for the Identification of Robusta Coffee Clones. Akbar, Miftahur Rizqi; Wibowo, Ari; Kuswanazia, Reni; Malik, Abdul
Pelita Perkebunan (a Coffee and Cocoa Research Journal) Vol. 40 No. 3 (2024)
Publisher : Indonesian Coffee and Cocoa Research Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22302/iccri.jur.pelitaperkebunan.v40i3.607

Abstract

Perbaikan genetik klon kopi robusta anjuran menjadi alternatif untuk meningkatkan produktivitas dan kualitas klon kopi robusta di Indonesia. Penelitian ini bertujuan untuk mengidentifikasi klon-klon kopi Robusta melalui karakterisasi morfologi dan pendekatan digital image. Penelitian ini dilakukan di Kebun Sumber Asin, Malang dan Laboratorium Pemuliaan Tanaman. Bahan genetik tanaman terdiri dari lima klon robusta yaitu BP 308, BP 409, BP 534, BP 936, BP 939 sebagai faktor perlakuan. Rancangan percobaan yang digunakan adalah rancangan acak kelompok lengkap faktor tunggal yaitu klon dengan tiga ulangan. Hasil menunjukkan bahwa perlakuan klon kopi Robusta memberikan pengaruh yang berbeda nyata pada semua karakter kuantitatif kecuali pada karakter jumlah cluster per cabang, panjang daun, dan lebar buah. Perbedaan nyata juga ditunjukkan pada karakter digital image yaitu nilai Red dan nilai Green pada fase daun muda dan daun dewasa. Hasil pengelompokan menunjukkan bahwa grup pertama terdiri dari BP 939 dan grup kedua terdiri dari BP 308, BP 409, BP 936, dan BP 534. Grup kedua memiliki dua subgrup dengan jarak ketidakmiripan 30%. Subgrup 1 terdiri dari BP 308, sedangkan subgrup 2 terdiri dari BP 409, BP 936, dan BP 534. Berdasarkan studi ini, informasi terkait kekerabatan klon-klon kopi Robusta yang telah dilepas dapat dijadikan sebagai dasar untuk program persilangan masa depan.
Efficacy of Glufosinate Ammonium Herbicide on Weed Control, Impact on Soil Chemical Properties and Heavy Metal Accumulation in Cocoa Plantations. Aremu-Dele, Olufemi; Ugioro, Osas; Ayegboyin, Kayode Olufemi; Nduka, Beatrice Abanum; Adeosun, Seun; Ibe, Osita; Asowata, Frank; Oyeledun, K.O.; Oyediran, Uthman; Salisu, Umar; Agboluaje, Adura; Shuaib, Taye
Pelita Perkebunan (a Coffee and Cocoa Research Journal) Vol. 40 No. 3 (2024)
Publisher : Indonesian Coffee and Cocoa Research Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22302/iccri.jur.pelitaperkebunan.v40i3.608

Abstract

Prolonged use of commonly used herbicides by cocoa farmers such as paraquat and glyphosate have been observed to have residual effects on the environment. Therefore there is a need to screen herbicides such as Glufosinate ammonium-based herbicides for use by cocoa farmers. The experiment was set up at the cocoa experimental plot of the Cocoa Research Institute of Nigeria Headquarters in Ibadan. The 3 treatments which were arranged in a Randomized Complete Block Design are slashing, 100 mls and 200 mls of Glufosinate ammonium per 16L of water (100 mls/16L and 200 mls/16L). Each experimental unit was 6 m × 6 m comprising nine cocoa stands. The treatments were replicated 3 times. Data on the soil's initial physico-chemical properties and after 3 months of each treatment were recorded. Mineral and heavy metal analysis of the leaves and pods before spraying and 3 months after spraying were recorded. The % weed control of the treatments was also observed. Treatment means were separated using the Least Significant Difference (LSD) at a 0.05% probability level. Results showed that Glufosinate ammonium applied at both rates did not load the soil, cocoa leaves and cocoa beans with heavy metals. 200 mls/16L had 85.00% weed control followed by 100 mls/16L (62.70%) and slashing (51.00%) which both had the same statistical result. Glufosinate ammonium at 100 mls/16L can replace slashing to eliminate drudgery while Glufosinate ammonium at 200 mls/16L can be used for more effective weed control without negative effects on the environment and the crop.
Acidification of Cocoa Nibs using Malic Acid to Modify the Color While Preserving the Bioactive Compounds. Febrianto, Noor Ariefandie; Novella Ramadhani, Trisnaningtyas; Taufiq Utami, Rachma
Pelita Perkebunan (a Coffee and Cocoa Research Journal) Vol. 40 No. 3 (2024)
Publisher : Indonesian Coffee and Cocoa Research Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22302/iccri.jur.pelitaperkebunan.v40i3.630

Abstract

The occurrence of non-fermented cocoa beans in the Indonesian market is still a huge challenge that needs to be solved. Unfermented cocoa beans are considered low-quality cocoa due to their low chocolate flavor and taste, and high bitterness and astringency levels. This limits its usability in the industries. An effort to utilize unfermented cocoa beans can be made through an alternative processing method utilizing an acidification process. Malic acid was used for acidification at various concentrations (0.01, 1, 2.5, and 5%). This acid solution was used to incubate the cocoa nibs for 1,3 and 5 hours. Physicochemical characteristics such as color changes, anthocyanin content, total phenolic content, and antioxidant activity of acidified cocoa nibs were analyzed. Fourier transform infrared spectroscopy analysis was also utilized to evaluate the changes in the functional groups. The results showed that the acidification of cocoa nibs using >1% malic acid significantly altered the color of cocoa nibs from brownish-purple to reddish color. Anthocyanin and phenolic content of cocoa nibs could be preserved to more than 61 and 65%, resulting in preserved antioxidant activity (>66%). The use of 2.5% malic acid followed by incubation for 3 hours resulted in cocoa nibs with bright red color and highly-preserved bioactive compounds.
Controlled Temperature Condition to Optimize the Storage Period and the Seeds Quality of Five Coffee Varieties Wibowo, Ari; Akbar, Miftahur Rizqi; Wiradinata, Rizky
Pelita Perkebunan (a Coffee and Cocoa Research Journal) Vol. 40 No. 3 (2024)
Publisher : Indonesian Coffee and Cocoa Research Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22302/iccri.jur.pelitaperkebunan.v40i3.637

Abstract

There is increasing interest of Indonesian coffee farmers to propagate coffee plants by using generative seeds due to easiness on distribution and production.The harvest time of coffee seed and the time for sowing/planting is separated by six months. This requires coffee seeds to be stored at least for the period.Technology for coffee storage is challenging due to the characteristic of coffee seeds as intermediate seeds which are sensitive to drying. The development of efficient and effective storage methods for coffee seeds is urgently needed. This study was aimed to evaluate the germination viability and quality of coffee seedlings obtained from the seeds that have been stored for up to 12 months in the warehouse. This study employed five coffee varieties including three Arabica coffee (USDA 762, P 88, and Gayo 1), and two Robusta coffee (propellegitim and Hibiro). One kilogram package of each variety (four replications) was stored in the warehouse at a temperature of 20 °C ± 2 °C. Each replication of the coffee seeds was then evaluated for germination viability and seedling quality on 0, 3, 6, 9, and 12 months of storage. Fresh coffee seeds (without storage) were used for comparison. The results showed a decrease in seeds’ moisture content during storage. Arabica coffee seeds were able to maintain their viability after six months of storage and Robusta coffee seeds after three months. Fresh coffee seeds showed the best seedling growth performance and seedling quality index. Arabica coffee USDA 762 stored for six months was able to produce seedlings with high plant performance, root length, stem diameter, and number of leaves similar to that of seedlings generated from fresh seed. Robusta coffee seedlings sown from fresh seeds had better quality compared to those from stored ones.
Color-based Classification of Dried Cocoa Beans from Various Origins of Indonesia by Image Analysis Using AlexNet and ResNet Architecture-Convolutional Neural Networks Kristianingsih, Wahyu; Dwi Argo, Bambang; Jati, Misnawi; Ariefandie Febrianto, Noor; Hendrawan, Yusuf; Bagus Hermanto, Mochamad; Rahmatullah, Bagus
Pelita Perkebunan (a Coffee and Cocoa Research Journal) Vol. 40 No. 3 (2024)
Publisher : Indonesian Coffee and Cocoa Research Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22302/iccri.jur.pelitaperkebunan.v40i3.638

Abstract

Cocoa plant is widely cultivated in Indonesia and spread across various regions. Diversity in geographical conditions has been known to significantly affect the quality of cocoa beans. Practically, cocoa beans are often mixed without considering the variation in the quality and its origin. This resulted in reduced global quality and product inconsistency. Improved recognition and classification methods are needed to solve those problems. Non-destructive classification methods can be used to provide a more efficient classification process. The use of artificial intelligence with computer-based deep learning methods was used in this study. Beans samples of various origins (Aceh, Bali, Banten, Yogyakarta, East Kalimantan, West Sulawesi, and West Sumatera) were evaluated. From thecollected samples, 9100 images were then taken for data processing. Data preprocessing included denoising of the background image, cropping, resizing andchanging the storage extension through the training-validation stage and the testing process. AlexNet and ResNet architectures on a Convolutional NeuralNetwork were used for classification. The results showed that the average accuracy of cocoa image classification based on color identification by computer machines using Alexnet and ResNet was high (99.91% and 99.99%, respectively). This method can be applied to provide more efficient color-based cocoa bean classification for industrial purposes.
Determinants of Food Insecurity Status among Cocoa Farmers in Ondo State, Nigeria. Dada, O.A.; Oluyole, K.A; Oladokun, Y.O.M; Awodumila, D.
Pelita Perkebunan (a Coffee and Cocoa Research Journal) Vol. 40 No. 3 (2024)
Publisher : Indonesian Coffee and Cocoa Research Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22302/iccri.jur.pelitaperkebunan.v40i3.639

Abstract

Food insecurity is a lack of consistent access to enough food for every person in a household to live an active and healthy life. This can be a temporary situation for a family or can last a long time. Food insecurity is one way to measure people’s food affordability. The aim of the study was to determine factors that affect food insecurity status among cocoa farming households in Ondo state, Nigeria. Multi-stage random sampling technique was used to select the respondentfarmers for the study. The first stage was the purposive selection of three Local Government Areas (LGAs) from the State. Second stage was the random selectionof 15 cocoa producing communities from the three selected LGAs (the selection was proportional to size), while the third stage was the random selection of 400cocoa farming households from the selected communities. Data were collected with the use of structured questionnaires and analyzed using descriptive statistics and Probit regression analysis. Results revealed that the majority (73.8%) of the respondents were males, out of which 84.2% were literates with at least primary school education, while (93.7%) of the respondents had enough farming experience of more than 10 years. The major significant variable determinants of food insecurity in the study area were total household income, age, household size, level of education, membership of cooperative, access to credit and farm size. It is therefore recommended that farmers should be granted more access to credit facilities at low interest rates as this further guarantees their food security.

Page 1 of 1 | Total Record : 6

 1 

Filter by Year

2024 2024


Reset
Filter By Issues
All Issue Vol. 41 No. 3 (2025) Vol. 41 No. 2 (2025) Vol. 41 No. 1 (2025) Vol. 40 No. 3 (2024) Vol. 40 No. 2 (2024) Vol. 40 No. 1 (2024) Vol. 39 No. 3 (2023) Vol. 39 No. 2 (2023) Vol. 39 No. 1 (2023) Vol. 38 No. 3 (2022) Vol 38 No 2 (2022) Vol. 38 No. 2 (2022) Vol 38 No 1 (2022) Vol 37 No 3 (2021) Vol 37 No 2 (2021) Vol 37 No 1 (2021) Vol 36 No 3 (2020) Vol 36 No 2 (2020) Vol 36 No 1 (2020) Vol 35 No 3 (2019) Vol 35 No 2 (2019) Vol 35 No 1 (2019) Vol 34 No 3 (2018) Vol 34 No 2 (2018) Vol 34 No 1 (2018) Vol 33 No 3 (2017) Vol 33 No 2 (2017) Vol 33 No 1 (2017) Vol 32 No 3 (2016) Vol 32 No 2 (2016) Vol 32 No 1 (2016) Vol 31 No 3 (2015) Vol 31 No 2 (2015) Vol 31 No 1 (2015) Vol 30 No 3 (2014) Vol 30 No 2 (2014) Vol 30 No 1 (2014) Vol 29 No 3 (2013) Vol 29 No 2 (2013) Vol 29 No 1 (2013) Vol 28 No 2 (2012) Vol 28 No 1 (2012) Vol 27 No 3 (2011) Vol 27 No 2 (2011) Vol 27 No 1 (2011) Vol 26 No 3 (2010) Vol 26 No 2 (2010) Vol 26 No 1 (2010) Vol 25 No 3 (2009) Vol 25 No 2 (2009) Vol 25 No 1 (2009) Vol 24 No 3 (2008) Vol 24 No 2 (2008) Vol 24 No 1 (2008) Vol 23 No 3 (2007) Vol 23 No 2 (2007) Vol 23 No 1 (2007) Vol 22 No 3 (2006) Vol 22 No 2 (2006) Vol 22 No 1 (2006) Vol 21 No 3 (2005) Vol 21 No 2 (2005) Vol 21 No 1 (2005) Vol 6 No 2 (1990) More Issue