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  • International Information and Engineering Technology Association  (4)
  • Bulan, Ramayanty  (4)
  • 2020-2024  (4)
Material
Publisher
  • International Information and Engineering Technology Association  (4)
Language
Years
  • 2020-2024  (4)
Year
  • 1
    Online Resource
    Online Resource
    International Information and Engineering Technology Association ; 2023
    In:  International Journal of Design & Nature and Ecodynamics Vol. 18, No. 4 ( 2023-08-31), p. 877-883
    In: International Journal of Design & Nature and Ecodynamics, International Information and Engineering Technology Association, Vol. 18, No. 4 ( 2023-08-31), p. 877-883
    Type of Medium: Online Resource
    ISSN: 1755-7437 , 1755-7445
    URL: Issue
    Language: Unknown
    Publisher: International Information and Engineering Technology Association
    Publication Date: 2023
    detail.hit.zdb_id: 2492146-4
    SSG: 21
    Location Call Number Limitation Availability
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  • 2
    Online Resource
    Online Resource
    International Information and Engineering Technology Association ; 2021
    In:  International Journal of Design & Nature and Ecodynamics Vol. 16, No. 3 ( 2021-6-30), p. 315-320
    In: International Journal of Design & Nature and Ecodynamics, International Information and Engineering Technology Association, Vol. 16, No. 3 ( 2021-6-30), p. 315-320
    Abstract: Agricultural products have great potential to produce untapped farm-to-table agricultural waste. This can happen because the agricultural products are damaged before they reach consumers and become agricultural waste. Therefore, paper aims to investigate the macronutrient content of the compost and liquid organic fertilizer using agricultural waste as the main ingredient. There are two treatments for making compost, namely the composition of the main ingredients (rice straw + lamtoro, rice straw + corn stalks, and lamtoro + corn stalks) and the composition of the supporting material in the form of livestock manure (cow dung, goat manure, and chicken manure). There are five treatment sources of the main raw materials for making liquid organic fertilizer tested, namely banana peel, papaya peel, pineapple skin, tomato, and cassava peel. Macro parameters in the form of N, P, K, and C content were measured using the Kjeldahl, Bray, AAS, and Walkle and Black methods, respectively. The C/N ratio was calculated by comparing the content of C and N. Furthermore, data were analyzed using statistical parameters in the form of ANOVA and DMRT. Making compost with the main ingredients of agricultural waste and supporting materials from livestock manure has a significant effect on macronutrient content in compost. Apart from that, the production of liquid organic fertilizer with the main ingredient of agricultural waste significantly affects the macronutrient content of liquid organic fertilizer produced.
    Type of Medium: Online Resource
    ISSN: 1755-7437 , 1755-7445
    URL: Issue
    Language: Unknown
    Publisher: International Information and Engineering Technology Association
    Publication Date: 2021
    detail.hit.zdb_id: 2492146-4
    SSG: 21
    Location Call Number Limitation Availability
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  • 3
    Online Resource
    Online Resource
    International Information and Engineering Technology Association ; 2022
    In:  International Journal of Design & Nature and Ecodynamics Vol. 17, No. 3 ( 2022-6-30), p. 369-374
    In: International Journal of Design & Nature and Ecodynamics, International Information and Engineering Technology Association, Vol. 17, No. 3 ( 2022-6-30), p. 369-374
    Abstract: Land used for residence and agriculture is a source of life, especially in Indonesia. This is because most of the sources of livelihood, especially those living at the sub-district level, are mostly engaged in agricultural activities. Therefore, land data collection is very important, starting at the sub-district level. Unfortunately, the information system that supports this does not yet exist, especially in the Sukabumi district. Hence, this study to overview and use a web-based Geographic Information System (GIS) for land mapping, especially in Sukabumi District, Indonesia. The method used in this study was to conduct interviews with land officials at the sub-district level and several communities in the area. Information system problems from potential users are then addressed by designing a web-based information system and integrating it with GIS applications. The developed information system provides menus and sub-menus adapted to the needs of potential users. So far, the information system has been accessible and can help land officials at the sub-district level and several communities in the area. This will provide the level of detailed information that local communities need in responding to information related to their lands to minimize social conflicts.
    Type of Medium: Online Resource
    ISSN: 1755-7437 , 1755-7445
    URL: Issue
    Language: Unknown
    Publisher: International Information and Engineering Technology Association
    Publication Date: 2022
    detail.hit.zdb_id: 2492146-4
    SSG: 21
    Location Call Number Limitation Availability
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  • 4
    Online Resource
    Online Resource
    International Information and Engineering Technology Association ; 2022
    In:  International Journal of Design & Nature and Ecodynamics Vol. 17, No. 4 ( 2022-08-31), p. 571-577
    In: International Journal of Design & Nature and Ecodynamics, International Information and Engineering Technology Association, Vol. 17, No. 4 ( 2022-08-31), p. 571-577
    Abstract: pH is one of the important physical parameters to characterize mango damage because it can indicate changes in the structure and chemical content of the fruit. Thus, the present work evaluated the possibility of NIRs as a rapid and non-destructive tool for measuring the pH properties of intact mango from the cultivar "Arumanis" (Mangifera indica L.) using several algorithms for pre-processing, pre-treatment, and prediction. Three different algorithm predictions, namely principal component regression (PCR), partial least squares regression (PLSR), and support vector machine regression (SVMR), were used and compared to predict the pH of mangos. A total of 16 pre-processing and pre-treatment algorithms are used to support algorithm prediction, and the results are also compared with the raw data spectra. The NIR spectral data used range from 1000 to 2500 nm. Algorithm performance will be evaluated using RMSE, error differences and concluded using RPD. The results show that the prediction of the PLSR algorithm can be performed with an RPD of 8.17, which is more significant than the PCR and SVMR algorithms, which are 1.04, and 1.90, respectively. To support this, pre-processing and pretreatment of the second derivative Savitzky–Golay is the best algorithm that can be used to predict the pH of the whole mango cultivar "Arumanis".
    Type of Medium: Online Resource
    ISSN: 1755-7437 , 1755-7445
    URL: Issue
    Language: Unknown
    Publisher: International Information and Engineering Technology Association
    Publication Date: 2022
    detail.hit.zdb_id: 2492146-4
    SSG: 21
    Location Call Number Limitation Availability
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