AGRITROPICA : Journal of Agricultural Sciences

Journal Information
ISSN / EISSN : 2621-217X / 2621-699X
Total articles ≅ 40

Latest articles in this journal

Emlan Fauzi, Linda Harta, Rahmat Oktavia, Sudarmansyah Sudarmansyah, Herlena Bidi Astuti, Jhon Firison, Andi Ishak, Shannora Yuliasari, Yudi Sastro
AGRITROPICA : Journal of Agricultural Sciences, Volume 3, pp 38-45; doi:10.31186/j.agritropica.3.1.38-45

Based on oil palm yield data in Bengkulu Province, it shows several regions with varying production numbers. For this reason, it is necessary to group the potential oil palm producing areas to find out which areas produce palm oil in large or small quantities. Production shared is usually done based on the name of the oil palm producing district. Therefore, a method is needed to facilitate the grouping of oil palm producing areas. With the clustering approach, the division of regional groups can be carried out based on planted area and production. Analysis K-Means makes it easier to group an area with the largest, medium and low yields of oil palm. From the analysis results, it can be seen that the priority areas for oil palm rejuvenation in Bengkulu Province are Mukomuko District with locations in Air Rami, Pondok Suguh, Teramang Jaya and Penarik Districts.
Gustin Rizki Utariyanto, Ketut Sukiyono, Septri Widiono
AGRITROPICA : Journal of Agricultural Sciences, Volume 3, pp 29-37; doi:10.31186/j.agritropica.3.1.29-37

This research aims to determine the factors that influence the probability of occurrence of poverty of households around Taman Nasional Kerinci Seblat (Kerinci Sebelat National Park (TNKS) Lebong District. The location of this research selected purposively by categorizing the 6 villages into 3 typologies, namely, Sawah dominance, plantation Dominance, and rice fields and plantation. From each village, 20 households as respondents were selected randomly, so the total respondents were 120 households. Sayogjo poverty line was applied to determine household poverty status. In examining the factors that affect the probability of the household poverty, a logit model is applied. From the analysis, land area ownership is the main factor influencing the occurrence probability of poverty of households, while education level, number of family dependents, and household head age are not.
Julian Rahmadi, M. Mustopa Romdhon, Reswita Reswita
AGRITROPICA : Journal of Agricultural Sciences, Volume 3, pp 22-28; doi:10.31186/j.agritropica.3.1.22-28

One of the fish processing units in Bengkulu City is UD.XY, which is located in Sumber Jaya Urban Village, Kampung Melayu Sub-district, Bengkulu City. The seafood processing product is groundfish made of fresh mackerel. Analysis of production risk is an important aspect of ensuring the survival of a business. The production risk was 15% in one production, so the selling price lowered and reprocessing was impossible. The risk comes from the material, production process, and final product. The present study was aimed to analyze the production risk of groundfish. The analysis method was FMEA. The research result showed that the highest risk was poor fish supply, poor groundfish products, and competing groundfish products.
Adwini Prasetya, Siska Apriani, Sigit Mujiharjo
AGRITROPICA : Journal of Agricultural Sciences, Volume 3, pp 13-21; doi:10.31186/j.agritropica.3.1.13-21

Consumers’ preference level, especially on agricultural or food products, can be used as a benchmark measure or determine the market or shelf life of the product. This research aims to determine organoleptic quality through the level of people's preference for RGL citrus fruits coated with edible coating starch from cassava peel plus chitosan. Aplication of coating on the fruits and storage layout of this study was conducted following a completely randomized design (CRD) with 2 different factors; cassava skin starch concentration; namely 3%, 5%, and 7%; and chitosan concentration; i.e. 0%, 0.5%, 1%, 1.5%. The observed variables are the panelists’ preference level with organoleptic test on color, flavor, texture and taste of RGL orange that has been treated and stored at room temperature for 20 days. Research result indicates that the color of the orange that the panelists favored is absent; the level of panelist most prefer is neutral, if the starch is 3% with chitosan 0% (preference score 3.92); and if the starch 7% with chitosan 0.5% (score 3.44). The preferred aroma of orange is absent; the level of panelist highest preference on aroma is neutral, if the starch is 5% with chitosan 1.5% (score 3.12); and if the starch 7% with chitosan 0.5% (score 3.04). The texture of the orange is preferred to be absent; the level of panelist higherst preference on texture is neutral, if the starch is 7% with chitosan 0.5% (score 3.60); and if the starch is 3% with chitosan 0.5% (score 3.56). The taste of citrus fruits is preferred if the starch is 7% with chitosan 0.5% (score 4.00); and if the starch is 3% with chitosan 0% (score 3.44). Therefore, RGL citrus fruits can be stored at room temperature for up to 20 days, if it is coated with 7% cassava peel starch with 0.5% chitosan
Dwi Tia Sukmawati, Irnad Irnad, Bambang Sumantri
AGRITROPICA : Journal of Agricultural Sciences, Volume 3, pp 1-12; doi:10.31186/j.agritropica.3.1.1-12

The present study was aimed to analyze the levels of technical and allocative efficiency of the usage of CPO production factors in PT. Sandabi Indah Lestari. The data being used was primary and secondary data. The data analysis to measure technical efficiency was Cobb-Douglas frontier production function and production elasticity value, while allocative efficiency was analyzed using NPMxi to Hxi ratio. The research result showed that fresh fruit bunch (TBS), indirect labor (TKTDL), and fiber (FB) had significant positive effect on CPO production in PT. Sandabi Indah Lestari, while direct labor (TKL), solar fuel (SR), CaCO3, and Nalco N 8507 (N8507) didn’t have significant positive or negative effect on CPO production in PT. Sandabi Indah Lestari. Fresh fruit bunch (TBS), indirect labor (TKTDL), and fiber (FB) were technically efficient (01).
Bambang Sumantri, Melli Suryanty, Reki Susanti
AGRITROPICA : Journal of Agricultural Sciences, Volume 2, pp 77-85; doi:10.31186/j.agritropica.2.2.77-85

This study aims to determine the structure of fishermen household income and expenditure. This research was conducted in March-April 2018 in Sekunyit Village. Research location is determined by purposive with Sekunyit consideration that in the village is one of the fishing villages in the Kaur district. Data processed using analysis of receipts and expenditures of households. The results showed the average amount of fisherman household income in Sekunyit Village was Rp. 8,606,594,59 / month. Revenue from the capture fisheries sector contributed the most (82.08%) to the fishermen household income. Meanwhile, the average expenditure of a fisherman's household in Sekunyit Village is Rp. 3,980,499 / month , where 69.24% was used to finance the capture fisheries business sector.
Ria Rachel Paranoan
AGRITROPICA : Journal of Agricultural Sciences, Volume 2, pp 71-76; doi:10.31186/j.agritropica.2.2.71-76

Soil minerals and chemical properties play an essential role in agricultural, especially to know the availability of soil nutrient reserve. The objective of the study was to investigate soil chemical properties and mineralogical composition. of sand fraction in original area. The study was conducted in two stages. The First stage was in the field and the second stage was in the laboratory. The field study was at Original area PT. Khotai Makmur Insan Abadi, Kutai Kartanegara, East Kalimantan. Soils were sampled from each horizon of the profile. The second stage was in the Laboratory. The chemical analysis was conducted in the Soil Laboratory, Agriculture Faculty, Mulawarman University. The Mineralogical composition of fine sand fractions was conducted in Pusat penelitian tanah Bogor, with line counting method using Microscope Polaritation (MP). The results of chemical characteristics indicated that low to very low content of organic matter, soil reactions are acid throughout the horizon, very low to moderate base satration, low to moderate soil cation exchange capacity, high of Al saturation. Sand fraction composition was dominated by resistant minerals (quartz and opaque). On the other hand the easily weatherable minerals are not detected in the original area. One of the reason soil has low CEC is, because the composition of sand fraction in the soil dominated by quartz.
Irfan Rusdi, Abdul Rauf, Supriadi Supriadi, Benny Hidayat
AGRITROPICA : Journal of Agricultural Sciences, Volume 2, pp 93-97; doi:10.31186/j.agritropica.2.2.93-97

Ultisol is one type of soil that has several problems for plant growth. The main problems are poor physical properties such as high bulk density, low soil permeability, and low water retention ability. This research aim was to determine the effects of various application of biochar made of oil palm plants residue on bulk density and soil porosity of Ultisol soil. The research design used a non-factorial completely randomized design, consisting of 5 treatments, namely without biochar application (control), oil palm stem biochar, oil palm frond biochar, oil palm empty fruit bunches biochar and combination of biochar ingredients. Each treatment was repeated 4 times hence the number of experimental units became 20 units. The parameters observed included bulk density and soil porosity. The research results showed that biochar application significantly reduced the bulk density and significantly increased the soil porosity of Ultisol soil.
Meko Gustian, Rustikawati Rustikawati, Widodo Widodo, Catur Herison
AGRITROPICA : Journal of Agricultural Sciences, Volume 2, pp 56-70; doi:10.31186/j.agritropica.2.2.56-70

Plant stress due to NaCl compound will have an impact on the reduction of plant growth and yield. Tolerant varieties are required to increase plant production in coastal areas since these areas are closely related to salinity. This study aimed to (1) determine the appropriate NaCl concentration for saline tolerance in maize stress selection, (2) determine the response of maize plant to salinity stress in nutrient culture, and (3) determine the response of new hybrid maize having adaptibility in coastal area. Two experiments were run from November 2017 until May 2018. The first experiment was conducted in a greenhouse at the Laboratory of Agronomy, Faculty of Agriculture University of Bengkulu to determine the tolerance response of 25 new hybrid maize to salinity in nutrient culture. The second experiment was conducted on the coastal areas in Beringin Raya Village, Muarabangkahulu District, Bengkulu City to determine the response of new hybrid maize having adaptibility in a coastal areas. The concentration of NaCl at which level the LC50 was determined was found to be in 150 mM. This concentration was then used to test the tolerance of 25 new hybrid maize to NaCl stress. The hybrids of CT18, CT19, CT22, CT25, CT31, CT33, CT34, CT40, CT47, and CT50 showed good responses to the concentration treatment of 150 mM NaCl based on plant fresh weight and shoot dry weight. The hybrids of CT17,CT19, and CT20 showed good adaptibility on coastal area based on the length of cob, diameter of cob, seed weight per cob, and cob weight per plant. Among those three hybrids, CT17 and CT20 resulted low fresh weight and low shoot dry weight. The factors other than NaCl in coastal area maybe affect better response. However, CT19 proved as a hybrid which was consistently in a good response to salinity stress both in nutrient culture and in coastal growing area.
Rahmi Yuristia, Dodi Apriyanto, Ketut Sukiyono
AGRITROPICA : Journal of Agricultural Sciences, Volume 2, pp 86-92; doi:10.31186/j.agritropica.2.2.86-92

This study aims to analyze and select the most accurate forecasting for predicting cassava prices in Indonesia. The data used is monthly data during the period of 2009 to 2017. This predicting uses the forecasting model, such as Moving Average, Exponential Smoothing, and Decomposition. Selecting the models found by comparing the smallest values of MAPE, MAD, and MSD. Therefore, it concluded that the Moving Average model is the most appropriate to Forecasting the price of cassava. Keywords : Selection, Forecasting model, cassava, prices
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