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All Journal BIOTROPIA - The Southeast Asian Journal of Tropical Biology Agrointek Jurnal Teknologi Pertanian agriTECH Jurnal Pengabdian Kepada Masyarakat (Indonesian Journal of Community Engagement) Jurnal Ilmiah Rekayasa Pertanian dan Biosistem Indonesian Journal of Chemistry Journal of Agricultural and Biosystem Engineering Research

Rudiati Evi Masithoh

Departemen Teknik Pertanian Dan Biosistem, Fakultas Teknologi Pertanian, Universitas Gadjah MAda. Jl Flora No 1 Bulaksumur Yogyakarta 55281

Author-ID : 2870044

Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Energy Immunology & microbiology Industrial & Manufacturing Engineering Mechanical Engineering Veterinary

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Physicochemical Characteristics of Sun-dried and Roasted Cassava Rice Rudiati Evi Masithoh; Maynanda Brigita Chrysta; Sabila Avinda Deviana
agriTECH Vol 39, No 4 (2019)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

High demand of rice can be minimized by promoting cassava as an alternative carbohydrate source. One method to process cassava to ease consumption and to prolong its shelf-life is by making it into analog rice, namely cassava rice. Two drying methods were studied to obtain the physicochemical information of cassava rice. This research aimed at determining color and chemical properties, i.e. water content, ash, lipid, protein, carbohydrate, starch, amylose, amylopectin, and mineral contents of cassava rice processed by roasting and sun-drying. It also compared physicochemical characteristics of cassava rice and paddy rice to get better understanding of nutritional values of cassava rice. Results showed that physical, chemical, and mineral contents of cassava rice were different from paddy rice. Cassava rice had lower water, protein, Zn and P2O5 contents than paddy rice. Roasted cassava rice was darker than cassava rice. Sun-dried and roasted cassava rice showed no different values in terms of lipid, carbohydrate, starch, amylose, amylopectin, Mg, Zn and P2O5 contents, while other characteristics were similar.

Utilizing Real-Time Image Processing for Monitoring Bacterial Cellulose Formation During Fermentation Darmawan Ari Nugroho; Lilik Sutiarso; Endang Sutriswati Rahayu; Rudiati Evi Masithoh
agriTECH Vol 40, No 2 (2020)
Publisher : Faculty of Agricultural Technology, Universitas Gadjah Mada, Yogyakarta, Indonesia

In general, nata is a bacterial cellulose results from bacterial fermentation of Gluconacetobacter xylinus. During the fermentation process, bacterial cellulose accumulates on the surface of the medium and is eventually visible. The parameter of the end of the fermentation process is indicated by the formation of bacterial cellulose sheets with a certain thickness. During this time, the determination of the success of the fermentation process is done by direct observation of the thickness formed. In this way, the failure of the fermentation process cannot be detected early. Real-time monitoring during the fermentation period will be very helpful to monitor the speed of bacterial cellulose formation and early failure detection of the fermentation process. Currently, image processing has been widely used for various purposes. This study describes how to utilize image processing to monitor bacterial cellulose formation during the fermentation process. For this reason, it is necessary to modify the fermentor by making an area to shoot and follow any thickness increase in the bacterial cellulose, as well as painting the fermentor in dark color to better contrast with the bacterial cellulose color. The device used is the Raspberry Pi, which has been connected to a web camera. Once the image has been captured, it is then processed to calculate the thickness, after which the thickness data are sent to the database.

Pemberdayaan Ibu Rumah Tangga dalam Implementasi Teknologi Pengolahan Sumber Karbohidrat Nonberas dan Penganekaragaman Pangan Nonterigu untuk Mendukung Ketahanan Pangan Rudiati Evi Masithoh; Heni Kusumawati
Jurnal Pengabdian kepada Masyarakat (Indonesian Journal of Community Engagement) Vol 2, No 1 (2016): September
Publisher : Direktorat Pengabdian kepada Masyarakat Universitas Gadjah Mada

Community may be involved in food security program by utilizing local based food materials in their surrounding areas. Potency of local food in Indonesia can be used as an alternative for the staple food. Te huge number of housewives in Yogyakarta can support the family economy or reduce the household budget through the use of local food sources. Tis community service activities aiemed at providing an understanding of processing technology of non-rice and non wheat food resources to be utilized to achieve food security and improve household economy. Outcomes of this activity are non-rice food products as carbohydrates source and non - grain food diversifcation, an improved understanding of food processing technology, as well as increased understanding of marketing and entrepreneurship.

Application of Fourier Transform Near-Infrared (FT-NIR) and Fourier Transform Infrared (FT-IR) Spectroscopy Coupled with Wavelength Selection for Fast Discrimination of Similar Color of Tuber Flours Rudiati Evi Masithoh; Hanim Zuhrotul Amanah; Byoung Kwan Cho
Indonesian Journal of Chemistry Vol 20, No 3 (2020)
Publisher : Universitas Gadjah Mada

This research aimed at providing a fast and accurate method in discriminating tuber flours having similar color by using Fourier transform near-infrared (FT-NIR) and Fourier transform infrared (FT-IR) spectroscopy in order to minimize misclassification if using human eye or avoid adulteration. Reflectance spectra of three types of tubers (consisted of Canna edulis, modified cassava, and white sweet potato) were collected to develop a multivariate model of partial least-squares discriminant analysis (PLS-DA). Several spectra preprocessing methods were applied to obtain the best calibration and prediction model, while variable importance in the projection (VIP) wavelength selection method was used to reduce variables in developing the model. The PLS-DA model achieved 100% accuracy in predicting all types of flours, both for FT-NIR and FT-IR. The model was also able to discriminate all flours with coefficient of determination (R2) of 0.99 and a standard error of prediction (SEP) of 0.03% by using 1st Savitzky Golay (SG) derivative method for the FT-NIR data, as well as R2 of 0.99 and SEP of 0.08% by using 1st Savitzky Golay (SG) derivative method for the FT-IR data. By applying the VIP method, the variables were reduced from 1738 to 608 variables with R2 of 0.99 and SEP of 0.09% for FT IR and from 1557 to 385 variables with R2 of 0.99 and SEP of 0.05% for FT NIR.

EVALUATION OF INDONESIAN LOCAL SOYBEAN BASED ON CHEMICAL CHARACTERISTICS AND VISIBLE - NEAR INFRARED SPECTRA WITH CHEMOMETRICS Rudiati Evi Masithoh; Farid R Abadi; Lilik Sutiarso; Sri Rahayoe
BIOTROPIA Vol. 31 No. 1 (2024): BIOTROPIA Vol. 31 No. 1 April 2024
Publisher : SEAMEO BIOTROP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11598/btb.2024.31.1.2054

Soybean characterization is essential to ensure product quality during distribution according to internal values. In this context, non-destructive characterization method, such as spectroscopy, offer an effective and efficient approach to testing soybean quality in field applications. Among the instruments that are widely used for testing soybean quality, the semi-portable visible near-infrared (Vis-NIR) spectrometer operating at a specific range of 345 to 1033 nm has been proven effective. Therefore, this study aimed to investigate soybean seeds characterization using Vis-NIR spectroscopy with PCA and PLSR chemometric methods. The investigation was carried out using soybean seeds consisting of eight varieties locally produced on Java Island, Indonesia, including Dega1, Dena1, Deja2, Dering1, Devon1, Yellow Flap, Green, and Detam4, in the form of intact, crumble, flour, and paste. Several quality parameters such as protein, fat, crude fiber, carbohydrate, ash, water, chlorophyll, total carotene, vitamin C, and L*, a*, and b* values were measured across intact, crumble, flour, and paste samples. The results of Principal Component Analysis (PCA) showed that sample form and genotypes affected soybean classification. Furthermore, Partial Least Squares Regression (PLSR) showed adequate model calibration for crude fiber, chlorophyll, total carotene, and vitamin C parameters. Based on this analysis, it could be concluded that Vis-NIR spectroscopy proved to be suitable for the classification and prediction of soybean characterization.

Enabling Precision Agriculture through a Web-Based Fertilization Management System for Nawungan Selopamioro Fruit Orchards Nugroho, Andri Prima; Wijaya, Fauzan Edy; Ngadisih, Ngadisih; Masithoh, Rudiati Evi; Sutiarso , Lilik
Jurnal Ilmiah Rekayasa Pertanian dan Biosistem Vol 12 No 2 (2024): Jurnal Ilmiah Rekayasa Pertanian dan Biosistem
Publisher : Fakultas Teknologi Pangan & Agroindustri (Fatepa) Universitas Mataram dan Perhimpunan Teknik Pertanian (PERTETA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jrpb.v12i2.627

Precision Agriculture (PA) is an integrated farming system based on information and technology for managing agriculture to identify, analyze, and manage spatial and temporal diversity information in specific locations to obtain optimum and sustainable benefits while minimizing unwanted environmental impacts. Fertilization is one of the crucial phases in agricultural production process considering technical cultivation aspects, costs, and environmental impacts. The current fertilization process at Kebun Buah Nawungan Selopamioro (KBNS) is still conventional, so there is no standard rule in determining the fertilization dose. Therefore, a PA approach is needed to provide suitable fertilizer doses for agricultural production needs. This objective of this study was to develop of a web-based fertilizer management system, integrating with orchard management to enhance accessibility and decision-making. The system calculates fertilizer requirements by analyzing soil nutrient availability (N, P, K), cultivation area, crop type and age, and available fertilizer types. The development followed the waterfall methodology, encompassing stages from requirement analysis to system maintenance. The outcome is a web application that manages land assets, administrative activities, and fertilizer needs tailored to specific land blocks, crop characteristics, and nutrient inventories. Subsequent validation against field conditions ensures the accuracy of its recommendations. Although comprehensive testing confirmed a 100% success rate in functionality, the system currently operates within a limited scope of variables. Future enhancements are planned to incorporate broader agronomic factors, such as soil pH and texture, to augment the system's precision. Despite its limitations, this system represents a significant technological advance in precision agriculture, promising to improve fertilizer application efficiency and support sustainable farming practices.

RESEARCH TRENDS ON INFRARED SPECTROSCOPY FOR COCOA QUALITY: A BIBLIOMETRIC STUDY USING VOSVIEWER Listanti, Riana; Masithoh, Rudiati Evi; Saputro, Arifin Dwi; Amanah, Hanim Zuhrotul; Wati, Andra Tersiana
Journal of Agricultural and Biosystem Engineering Research Vol 5 No 2 (2024): Journal of Agricultural and Biosystem Engineering Research: Regular Issue
Publisher : Program Studi Teknik Pertanian, Fakultas Pertanian, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jaber.2024.5.2.16299

Infrared spectroscopy is a non-invasive analytical method that is particularly effective for evaluating the chemical makeup and physical quality of cocoa beans. It offers rapid results, minimal sample preparation, low operational costs, and is environmentally sustainable. However, only a limited number of studies have explored the use of infrared spectroscopy in cocoa. This study aims to investigate the research focus concerning the application of Infrared Spectroscopy Technology in cocoa commodities. The methodology employed includes a literature review with a bibliometric analysis approach and systematic literature review : identification, screening, eligibility, and inclusion. The data were collected from the Scopus database. The study results indicate an increase in publications related to the application of Infrared Spectroscopy Technology in cocoa commodities from 1988 to 2024, particularly from 2022 to 2023. Most research papers were published in Q1 journals, with Brazil leading in publications followed by other countries.New themes that emerge in research regarding related to infrared spectroscopy in cocoa include chemical structure, physicochemical properties, chemometrics, and thermogravimetric analysis. This research offers important insights into the present state and future prospects of infrared spectroscopy in cocoa analysis, emphasizing its importance in enhancing cocoa quality assessment and production efficiency in the chocolate industry. By exploring previous research, this study seeks to offer a deeper understanding of the role and potential of infrared spectroscopy technology. This paper conducts a bibliographic review of global studies related to technological applications of infrared spectroscopy in cocoa research, aiming to highlight worldwide scientific contributions and identify prevailing research trends in the field.

Bibliometric analysis of research trends on rotary dryers using the VOSviewer application base on the Scopus database Ritonga, Abdul Mukhlis; Kariadi, Joko Nugroho Wahyu; Masithoh, Rudiati Evi; Kusuma, Redika Ardi
AGROINTEK Vol 19, No 3 (2025)
Publisher : Agroindustrial Technology, University of Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/agrointek.v19i3.27586

Bibliometric analysis is a crucial way to understand trends and progress in a field of research. Using the VOSviewer application for bibliometric analysis becomes an effective tool to demonstrate research patterns, networking, and research focus. This study explains the analysis of scientific publications related to rotary dryers using the VOSviewer application. This study aims to find trends through analyzing bibliometric data on rotary dryer research for 10 years (2014–2023). Data was collected from the Scopus database. The method used is descriptive causality, using VOSviewer to visualize relationships between keywords, authors, institutions, countries, and network collaborations between authors. The study showed 1,356 articles relevant to rotary dryers between 2014 and 2023. After elimination by document type (article, conference paper, review, and conference review) and language type (English), 465 articles were obtained. The bibliometric analysis results show changes in research trends, from performance studies to the study of the use of energy resources in rotary dryers and their integration with intelligent systems. There are five keyword clusters, with primary keywords in each cluster. The number of articles on the topic of rotary dryers has increased from year to year, with China being the country with the most publications and citations. Still, the number of links and strength of the author's relationship with other countries in carrying out joint publications remain relatively low. The results of this bibliometric analysis provide a helpful overview of research progress and prospects with the topic of rotary dryers and help the authors plan further research.

Co-Authors Agus Hardjoko Agus Hardjoko Agus Hardjoko Agus Harjoko Andra Tersiana Wati Andri Prima Nugroho Arifin Dwi Saputro, Arifin Dwi Balza Achmad Budi Rahardjo Budi Rahardjo Budi Rahardjo Byoung Kwan Cho Farid R Abadi Hanim Zuhrotul Amanah Joko Nugroho Wahyu Karyadi Kariadi, Joko Nugroho Wahyu Lilik Sutiarso Lilik Sutiarso Lilik Sutiarso Lilik Sutiarso Lilik Sutiarso Lilik Sutiarso Listanti, Riana Maynanda Brigita Chrysta Meiana Wahyu Jatmiko Murtiningrum Murtiningrum Nafis Khuriyati Ngadisih Ngadisih Nugroho, Darmawan Ari Rahayu, Endang Sutriswati Ratyan Fauzi, Ratyan Redika Ardi Kusuma Ritonga, Abdul Mukhlis Sabila Avinda Deviana Sapto Kuncoro Sony Anshory Kusuma Sri Rahayoe Sutiarso , Lilik Wijaya, Fauzan Edy Yodana S. Rachmadany Yohanita Maulina Akbar

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