Adnan Adnan

@brin.go.id

National Research and Innovation Agency-Research Organization for Energy and Manufacture-Research Center for Sustainable Production System and Life Cycle Assessment
National Research and Innovation Agency (BRIN)

Adnan Adnan


                           Download Compact PDF  
https://researchid.co/adnanalbahry
"Adnan, SP., M.Si., Ph.D., is a leading expert in post-harvest technology with extensive experience in applying advanced techniques like near-infrared spectroscopy (NIR) and chemometric analysis to improve food quality and sustainability. He has successfully led key projects on nutrient analysis tools, disease-resistant cocoa clones, and coffee quality enhancement, producing impactful innovations and patented technologies. With a strong publication record and a focus on sustainable solutions, Adnan, Ph.D combines technical expertise and practical experience to address global challenges in food systems and agricultural

EDUCATION

Bachelor, Agronomy Science, IPB University
Master, Post-harvest Technology, IPB University
Doctor, Quality Of Plant Products, Goettingen University

RESEARCH, TEACHING, or OTHER INTERESTS

Food Science, Agronomy and Crop Science
17

Scopus Publications

214

Scholar Citations

8

Scholar h-index

6

Scholar i10-index

Scopus Publications

  • Prediction of Nitrogen Content in Wetland and Dryland Soils of Java Island Using Near-Infrared Spectroscopy and Multivariate Analysis
    Adnan Adnan, Yaya Suryana, Abdul Aziz, Taslim Rochmadi, Arie Rakhman Hakim, Fahrodji Fahrodji, Amrullah Kamaruddin, Wenny Oktaviani, Nizam Ghazali, Adim Hadi, Ardani Cesario Zuhri, Galang Ilman Islami
    Acta Technologica Agriculturae, 2026
    This study evaluated the potential of near-infrared spectroscopy (NIRS) combined with multivariate analysis to predict soil nitrogen (N) content in both wetland and dryland systems of Java Island, Indonesia. A total of 145 soil samples were collected across four provinces and analysed using a Frontier FT-NIR spectrometer in the 750–2500 nm range. Spectral data were pre-processed using several methods, and partial least squares regression (PLSR) models were calibrated and validated against reference Kjeldahl measurements. Among all approaches, asymmetric least-squares (ALS) baseline correction coupled with PLSR achieved the best predictive performance, with R ² = 0.882, RMSE = 0.0401% N, and RPD = 2.84 on the independent validation set. Characteristic wavelengths were identified around 1400, 1900, and 2200–2330 nm, corresponding to overtone and combination bands of N–H and O–H vibrations. The results confirm that NIRS offers a rapid, non-destructive, and cost-effective alternative for soil nitrogen assessment under diverse agroecosystems. This approach can support precision nutrient management in tropical smallholder farming systems and provides a foundation for developing portable, field-ready detection tools.
  • COMPARATIVE STUDY OF NIR-BASED MACHINE LEARNING FOR PREDICTING SOIL NUTRIENTS IN INDONESIAN FARMLANDS
    Adnan Adnan, Taufik Iqbal Ramdhani, Yaya Suryana, Abdul Aziz, Taslim Rochmadi, Amrullah Kamaruddin, Ninon Nurul Faiza
    Acta Technologica Agriculturae, 2026
    This study evaluates the efficacy of machine learning models for predicting soil nitrogen (N), phosphorus (P), and potassium (K) concentrations from near-infrared (NIR) spectral data (750–2499 nm). A comparative analysis was conducted on models from three distinct categories: linear-based, non-linear kernel-based, and neural network-based, using data from 145 soil samples collected across four Indonesian provinces. Regularised linear modelling performed best: Ridge Regression achieved R ²/MAE of 0.999/0.00005% for N-Total, 0.868/0.01408% for P-Total, and 0.763/0.01239% for K-Total. The non-linear SVR delivered moderate fit ( R ² = 0.821 for N-Total) but produced the lowest MAE for K (0.00829%) at lower explained variance ( R ² = 0.419). Neural network-based models underperformed the linear baselines. This study demonstrates that, for this dataset, a simpler regularised linear model outperformed more complex architectures, underscoring the critical role of rigorous model selection in developing accurate spectroscopic tools for precision agriculture. Future research could explore hybrid or ensemble methods to combine the strengths of different model types, potentially improving prediction accuracy and robustness.
  • The potential of Inceptisol soil for rice development in Boven Digoel, Papua
    Heppy Suci Wulanningtyas, Arifuddin Kasim, Adnan
    Iop Conference Series Earth and Environmental Science, 2025
    Boven Digoel has excellent potential for rice development because the land suitability evaluation showed land suitability class for rice cultivation, it is covered a wide area and supported by local government. As a border area with a strategic role, new land clearing is essential for accelerating agricultural development in Papua. However, the rice cultivation research in new land clearing, especially in Inceptisol, is unclear and requires further investigation. This study aims to examine the potential of Inceptisol for rice cultivation in Boven Digoel, Papua. The research was conducted from February to December 2019 at Asiki, Jair District, Boven Digoel, Papua. The study was conducted using a randomized block design with 3 replications. Data collection was carried out on a plot size of 3×4 m. The research used new superior varieties: Inpari 36 Lanrang, Inpari 37 Lanrang, Inpago Rindang 1 Agritan, Inpago Rindang 2 Agritan, and Inpara 8 Agritan, which is planted in Inceptisol. Soil samples were collected in 3 plots from each planting location before tillage with 5 points of composite soil samples were taken. The measurement indicators included the soil’s physical and chemical properties, and then the data were described by descriptive analysis. The result showed Inpari 37 Lanrang produces the highest productivity (5.3 t ha−1) even though the soil has low fertility and nutrient availability. The availability of nitrogen, phosphorus, and potassium nutrients, organic matter, cation exchange capacity (CEC), base saturation (BS), and pH were low and as limiting factors for plant growth.
  • A bibliometric review of the effects of carbon pollution on soil nutrient quality in sustainable agriculture: exploring future research directions
    Amrullah Kamaruddin, Agus Kartono, Rony Febryarto, Adnan Adnan, Syaeful Karim
    Journal of Physics Conference Series, 2025
    Sustainable agriculture is a system that aims to meet food needs while ensuring environmental health and social equity in the long term. One of the main challenges in sustainable agriculture is carbon pollution which can damage the nutritional quality of the soil. Carbon pollution from industrial, agricultural, transportation, and deforestation significantly affects soil quality globally. The concentration of carbon dioxide in the atmosphere and global warming can readily arise, leading to a decline in soil functionality and organic carbon levels within the soil. This issue is addressed through a bibliometric research approach to examine scientific publications on the effects of carbon emissions on soil nutrient quality within the framework of sustainable agriculture. The study aims to generate future insights and supply essential information for designing effective research methodologies and agricultural practices to mitigate the effects of carbon emissions on soil quality while advancing sustainable farming practices. The results of research studies conducted between 2020 and 2024, using geographical analysis, show that most of the contributions of studies in this field come from China, Spain, Italy, and India.
  • Unlocking the Potential of Pongamia pinnata: A Scoping Review and Bibliometric Analysis (ScoRBA) Guided by the PAGER Framework
    Aam Aminah, Adnan Adnan, Qomariyah Novia, Rantan Krisnan, Lili Anggraini, Supatmi Supatmi, Danu Danu, Eliya Suita, Deddy Dwi Nur Cahyono, Abdul Hakim Lukman, Dida Syamsuwida, Dharmawati Djam'an
    Forest Science and Technology, 2025
    Pongamia pinnata (syn. of Millettia pinnata), known as Malapari, has gained attention as a versatile plant with significant potential in bioenergy, medicinal applications, and environmental conservation. However, a comprehensive assessment of its research landscape remains limited. This study employs a combined Scoping Review and Bibliometric Analysis (ScoRBA) approach, guided by the PAGER framework (Patterns, Advances, Gaps, Evidence for Practice, and Research Recommendations), to evaluate global research trends on P. pinnata. Data collected from Scopus and Web of Science between 1979 and 2024 were analyzed using VOSviewer and R Bibliometrix to explore the descriptive analysis, existing conditions, and emerging potentials of P. pinnata. Results indicate a growing interest in P. pinnata, particularly in bioenergy and medicinal applications, with several emerging opportunities such as activated carbon, bioremediation, climate change, feedstock, and nanoparticles. Key gaps include limited studies on its long-term ecological impacts, bioavailability, and pharmacokinetics in novel applications. The study underscores the potential of P. pinnata in promoting sustainable agriculture, climate resilience, and green innovation. Future research should prioritize expanding phytochemical studies, optimizing extraction methods, and integrating P. pinnata into global environmental management strategies.
  • Evolving Paradigms in Sorghum Research: A Bibliometric and Content Analysis of Global Trends and Future Directions
    Adnan Adnan, Catur Oktivian Indri Hastuti, Agus Hadiarto, Indarti Puji Lestari, Yati Haryati, Rita Indrasti, Hermawati Cahyaningrum, Novia Qomariyah, Dadan Permana, Nurmalinda, Ening Ariningsih, Anuraga Jayanegara, Adi Wijaya
    International Journal of Design and Nature and Ecodynamics, 2024
    Sorghum has become increasingly popular for diverse applications, including food, feed, and bioenergy.The present study aimed to perform a bibliometric and content analysis on sorghum research in the industrial-agricultural sector to evaluate global research patterns, emerging topics, and future trends.The bibliometric analysis of the Scopus bibliographic metadata was done using Bibliometrix and Vosviewer.The results of this investigation show the descriptive analysis underscored fluctuation in research output and citation impact over the years.The identified four patterns through co-occurrence analysis encompassed central themes of sorghum research, including genetic expression and plant stress cluster, cereal crop and yield cluster, biomass and microbial bioprocessing, and metabolism and antioxidant cluster.The thematic map portrays a comprehensive view of cereal crops and yields, biomass and microbial bioprocessing, metabolism and antioxidant research, environmental remediation and sustainable agriculture practices, and the declining theme of starch.The findings provide valuable insights into the global pattern of sorghum research and emerging trends, thus directing future multidisciplinary research efforts for enhanced knowledge and sustainable practices in the industrial-agricultural sector.The insights from this study can guide future multidisciplinary research efforts towards enhancing knowledge and promoting sustainable practices in the industrial-agricultural sector, particularly in the areas of sorghum genetics, crop yields, biomass processing, and environmental sustainability.
  • Enhancing Maize Germplasm Selection for Genebanks: A Decision Support System Combining Shannon-Weaver Diversity Index and Machine Learning
    Adnan Adnan, Yaya Suryana, Abdul Aziz, Taslim Rochmadi, Arie Rakhman Hakim, Andari Risliawati, Arifuddin Kasim, Fahrodji Fahrodji, Amrullah Kamaruddin, Wenny Oktaviani, Laela Nuraini, Anugerah Fitri Amalia, Nizam Ghazali, Adim Hadi, Taufik Iqbal Ramdhani, Puji Lestari, Willy Bayuardi Suwarno, Trikosoemaningtyas Trikosoemaningtyas, Sobir Sobir
    International Journal of Design and Nature and Ecodynamics, 2024
    While core collections offer various advantages, achieving a balance between representing genetic diversity and ensuring the practical manageability of the entire genebank collection is crucial.This study investigated the utility of the Shannon-Weaver diversity index and machine learning as a support system for the acceptability of new maize accessions into the genebank collection.This study examined 1279 maize germplasm accessions from the Agricultural Genebank Indonesia.The maize germplasm collection was divided into two parts.The first part, namely subset A, contains 600 accessions, which acted as original collections and were randomly selected for calculating the diversity values in each kernel character using the Shannon-Weaver diversity index.The second part, subset B, consisting of 679 accessions, was used to determine whether each accession was similar or different from subset A using an Excel macro-based application built by the authors.Principal component analysis (PCA) and Mahalanobis distances were used in the first step to identify outliers in data points with nine independent variables, namely kernel type, kernel color, presence of white cap, mottled type, kernel upper surface shape, kernel weight, kernel length, width, and thickness.Seventeen outlier samples, detected through PCA and Mahalanobis distances, were intentionally excluded from the dataset to ensure the integrity of subsequent machine learning analyses.The subset B was then divided into two parts to perform conventional and novel machine learning, i.e., linear discriminant analysis (LDA) and Tabnet.The results of this study show that the model's accuracy of LDA and TabNet were 89.36% and 86.4%, respectively.By integrating the Shannon-Weaver diversity index and machine learning methodologies, this research offers a comprehensive decision support system for guiding the acceptance of new maize accessions.The proposed system implies optimizing genebank strategies for the integrity and adaptability of maize germplasm collections.
  • Grain Quality of Rice at Dry Planting Seasons in Muara Tami District, Jayapura City
    Laela Nuraini, Adnan, Wayan Trisnawati
    Aip Conference Proceedings, 2024
    The determining factors for the acceptance of new superior varieties are rice productivity and grain quality. However, the quality factor of rice is rarely a concern, even though the quality of the rice grain will determine the price. This study aimed to evaluate the physical grain quality of the six new superior rice varieties planted during dry planting seasons in Muara Tami, Jayapura. The materials used were rice varieties of Inpari 34, Inpari 43, Inpago 8, Inpago 11, Inpago 12, Inpara 8, and Mekongga. The grain quality was evaluated using the IRRI standard evaluation system (SES) and SNI 6128:2015. The results showed that the variety affected grain length, grain width, length-width ratio, whiteness, translucency, milling degree, the percentage of head rice, percentage of broken rice, percentage of groats, the percentage of chalky grain, the percentage of yellow grain, yield of brown rice, and the percentage of foreign matter. Inpari 43 contained the highest percentage of head rice at 71.9%. The percentage of head rice was positively and significantly correlated with grain length, length-width ratio, and translucency. However, the percentage of head rice was negatively and significantly different from grain width, the percentage of broken rice, the percentage of groats, and the percentage of foreign matter. This study shows that the selection of varieties affects the physical grain quality of the rice produced.
  • Physicochemical Characterization and Shelf-Life Prediction of Mocaf Flour from Different Starter Culture and Cassava Varieties
    W. Trisnawati, L. Nuraini, Adnan
    Aip Conference Proceedings, 2024
    Cassava flour could be improved its quality through a modification process, and produce modified cassava flour (mocaf). Through this process, mocaf flour has the potential as a wheat flour substitute for up to 100%, depending on the raw materials, fermentation methods, and type of food products. This research aims to examine the physicochemical characterization and prediction of the shelf-life of mocaf flours produced from different starter cultures and cassava varieties. A randomized block design was used to evaluate the effect of those factors on the mocaf flour's physicochemical characteristics. Two cassava varieties and four starter cultures were applied as experimental treatments. The shelf-life of mocaf flour was determined using accelerated shelf-life testing (ASL). The results showed that the treatment of lactic acid bacteria in the Gajah cassava variety produced a better physicochemical characterization of mocaf flour, with an amylose content of 6.5±0.4%, the starch content of 85.3±1.4%, the solubility of 1.1±0.01, and swelling power of 15.3±0.3%. ASL testing predicted that mocaf shelf life was 3.9 months at a storage temperature of 30℃. The study implies that different starter culture treatments on different cassava varieties produce different physicochemical characterization and shelf life of mocaf flour. Starter culture lactic acid bacteria and Gajah variety should be used as raw materials to produce better mocaf flour.
  • Exploration of Characteristics and Cup Quality of Arabica Coffee in Papua
    Adnan, Laela Nuraini, Wayan Trisnawati, Rubiyo
    Aip Conference Proceedings, 2024
    The market recognizes Arabica coffee origin Papua as Wamena Coffee. Instead, Arabica coffee is produced in several regions of Papua. The present study aimed to explore the characteristics and cup quality of Arabica coffee origin in Papua. The green coffee beans of Arabica coffee were collected from six regions. A descriptive analysis based on SNI 2907-2008 was carried out to explore the grade and taste of coffee by the Indonesian Coffee and Cocoa Research Institute. The findings show that the quality of Arabica coffee from Dogiyai Regency was grade 2, better than in other regions. Green coffee beans originating from Walesi District, Jayawijaya Regency and Okbibab District, Pegunungan Bintang Regency, did not conform to SNI 2907-2008. The beans from both origins contained moisture content >12% and had mould. The cup quality of the samples from five regions was specialty coffee, except one sample from Pegunungan Bintang Regency was deemed non-specialty coffee. Each origin produced unique taste notes. The findings can contribute to a better understanding of the characteristics and selection of cup quality of Arabica coffee from Papua.
  • Characterization of sago tree parts from Sentani, Papua, Indonesia for biomass energy utilization
    Benny Susanto, Yohanis Tangke Tosuli, Adnan, Cahyadi, Hossein Nami, Adi Surjosatyo, Daffa Alandro, Alvin Dio Nugroho, Muhammad Ibnu Rashyid, Muhammad Akhsin Muflikhun
    Heliyon, 2024
  • Predictive soil nutrient modeling with spectral data and machine learning in four major Indonesian Provinces located on the island of java
    T I Ramdhani, Adnan, Y Suryana, T Rochmadi, A Aziz, A Kamaruddin, N Ghazali, A Hadi, W Oktaviani, S V Budiwati, A R Hakim, Fahrodji, L Nuraini
    Iop Conference Series Earth and Environmental Science, 2024
  • The Effect Characteristic of Aloe Vera and Grass Jelly Leaves as Edible Coating of Shallot (Allium Cepa L) During Storage
    Wayan Trisnawati, Adnan, Laela Nuraini, Astuti, Nyoman Ngurah Arya
    Bio Web of Conferences, 2023
  • Necessity of Log(1/R) and Kubelka-Munk transformation in chemometrics analysis to predict white rice flour adulteration in brown rice flour using visible-near-infrared spectroscopy
    Laila RAHMAWATI, Aryanis Mutia ZAHRA, Riana LISTANTI, Rudiati Evi MASITHOH, Hari HARIADI, ADNAN, Merynda Indriyani SYAFUTRI, Eka LIDIASARI, Rima Zuriah AMDANI, PUSPITAHATI, Sri AGUSTINI, Laela NURAINI, Slamet Diah VOLKANDARI, Mohammad Faiz KARIMY, SURATNO, Anjar WINDARSIH, Muhammad Fahri Reza PAHLAWAN
    Food Science and Technology Brazil, 2023
  • Drying and sortation to improve green beans and cup quality of Wamena coffee
    Adnan, Martina Sri Lestari
    E3s Web of Conferences, 2021
  • Reliable discrimination of green coffee beans species: A comparison of UV-Vis-based determination of caffeine and chlorogenic acid with non-targeted near-infrared spectroscopy
    Adnan Adnan, Marcel Naumann, Daniel Mörlein, Elke Pawelzik
    Foods, 2020
  • Rapid prediction of moisture content in intact green coffee beans using near infrared spectroscopy
    Adnan Adnan, Dieter von Hörsten, Elke Pawelzik, and Daniel Mörlein
    Foods, 2017

RECENT SCHOLAR PUBLICATIONS

  • Comparative Study of NIR-Based Machine Learning for Predicting Soil Nutrients in Indonesian Farmlands
    A Adnan, RT Iqbal, S Yaya, A Abdul, R Taslim, K Amrullah, FN Nurul
    Acta Technologica Agriculturae 29 (1), 27-34 , 2026
    2026
  • Unlocking the Potential of Pongamia pinnata : A Scoping Review and Bibliometric Analysis (ScoRBA) Guided by the PAGER Framework
    A Aminah, A Adnan, N Qomariyah, R Krisnan, L Anggraini, S Supatmi, ...
    Forest Science and Technology 21 (3), 302-317 , 2025
    2025
    Citations: 7
  • The potential of Inceptisol soil for rice development in Boven Digoel, Papua
    HS Wulanningtyas, A Kasim, Adnan
    IOP Conference Series: Earth and Environmental Science 1463 (1), 012008 , 2025
    2025
    Citations: 1
  • A bibliometric review of the effects of carbon pollution on soil nutrient quality in sustainable agriculture: exploring future research directions
    A Kamaruddin, A Kartono, R Febryarto, A Adnan, S Karim
    Journal of Physics: Conference Series 2973 (1), 012004 , 2025
    2025
  • Predictive soil nutrient modeling with spectral data and machine learning in four major Indonesian Provinces located on the island of java
    TI Ramdhani, Adnan, Y Suryana, T Rochmadi, A Aziz, A Kamaruddin, ...
    IOP Conference Series: Earth and Environmental Science 1419 (1), 012007 , 2024
    2024
  • Evolving Paradigms in Sorghum Research: A Bibliometric and Content Analysis of Global Trends and Future Directions
    A Adnan, COI Hastuti, A Hadiarto, IP Lestari, Y Haryati, E Ariningsih, ...
    International Journal of Design & Nature and Ecodynamics 19 (3), 887-898 , 2024
    2024
    Citations: 5
  • Enhancing maize germplasm selection for genebanks: A decision support system combining shannon-weaver diversity index and machine learning
    A Adnan, Y Suryana, A Aziz, T Rochmadi, AR Hakim, A Risliawati, ...
    International Journal of Design & Nature and Ecodynamics 19 (2), 629-637 , 2024
    2024
  • The Effect of three drying methods on physicochemical properties of powdered butterfly pea flower extract (Clitoria ternatea L.)
    H HARIADI, S AMIEN, A KARUNIAWAN, S DARNIADI, D HISTIFARINA, ...
    Food Science and Technology 44 , 2024
    2024
    Citations: 10
  • Grain quality of rice at dry planting seasons in Muara Tami district, Jayapura city
    L Nuraini, Adnan, W Trisnawati
    AIP Conference Proceedings 2957 (1), 050032 , 2024
    2024
  • Physicochemical characterization and shelf-life prediction of mocaf flour from different starter culture and cassava varieties
    W Trisnawati, L Nuraini, Adnan
    AIP Conference Proceedings 2957 (1), 030005 , 2024
    2024
  • Exploration of characteristics and cup quality of Arabica coffee in Papua
    Adnan, L Nuraini, W Trisnawati, Rubiyo
    AIP Conference Proceedings 2957 (1), 060054 , 2024
    2024
  • Characterization of sago tree parts from Sentani, Papua, Indonesia for biomass energy utilization
    B Susanto, YT Tosuli, Adnan, Cahyadi, H Nami, A Surjosatyo, D Alandro, ...
    Heliyon 10 (1), e23993 , 2024
    2024
    Citations: 19
  • The Effect Characteristic of Aloe Vera and Grass Jelly Leaves as Edible Coating of Shallot ( Allium Cepa L ) During Storage
    W Trisnawati, Adnan, L Nuraini, Astuti, NN Arya
    BIO Web of Conferences 69, 01025 , 2023
    2023
    Citations: 1
  • Necessity of Log (1/R) and Kubelka-Munk transformation in chemometrics analysis to predict white rice flour adulteration in brown rice flour using visible-near-infrared …
    L Rahmawati, AM Zahra, R Listanti, RE Masithoh, H Hariadi, Adnan, ...
    Food Science and Technology 43, e116422 , 2023
    2023
    Citations: 12
  • Drying and sortation to improve green beans and cup quality of Wamena coffee
    Adnan, MS Lestari
    E3S Web of Conferences 306, 03024 , 2021
    2021
    Citations: 2
  • Pertumbuhan dan produktivitas 5 varietas unggul baru padi di lahan bukaan baru Kabupaten Boven Digoel
    F Shoidah, A Adnan
    Agrosains: Jurnal Penelitian Agronomi 23 (1), 6-11 , 2021
    2021
    Citations: 8
  • Reliable discrimination of green coffee beans species: A comparison of UV-Vis-based determination of caffeine and chlorogenic acid with non-targeted near-infrared spectroscopy
    A Adnan, M Naumann, D Mörlein, E Pawelzik
    Foods 9 (6), 788 , 2020
    2020
    Citations: 45
  • Evaluation of near infrared spectroscopy for prediction of quality attributes and authentication of green coffee beans
    A Adnan, CD Möllers, AP Schmitt
    2020
  • KARAKTERISASI VARIETAS UNGGUL BARU (VUB) PADI PADA UJI ADAPTASI DI KABUPATEN MERAUKE MENGGUNAKAN ANALISIS DISKRIMINAN
    A Adnan, F Palobo
    ZIRAA'AH MAJALAH ILMIAH PERTANIAN 44 (3), 309-313 , 2019
    2019
  • UJI ADAPTASI 5 VARIETAS UNGGUL BARU PADI DI KABUPATEN MERAUKE
    F Palobo, A Adnan
    ZIRAA'AH MAJALAH ILMIAH PERTANIAN 44 (2), 134-140 , 2019
    2019

MOST CITED SCHOLAR PUBLICATIONS

  • Rapid prediction of moisture content in intact green coffee beans using near infrared spectroscopy
    A Adnan, DV Hörsten, E Pawelzik, D Mörlein
    Foods 6 (5), 38 , 2017
    2017
    Citations: 74
  • Reliable discrimination of green coffee beans species: A comparison of UV-Vis-based determination of caffeine and chlorogenic acid with non-targeted near-infrared spectroscopy
    A Adnan, M Naumann, D Mörlein, E Pawelzik
    Foods 9 (6), 788 , 2020
    2020
    Citations: 45
  • Characterization of sago tree parts from Sentani, Papua, Indonesia for biomass energy utilization
    B Susanto, YT Tosuli, Adnan, Cahyadi, H Nami, A Surjosatyo, D Alandro, ...
    Heliyon 10 (1), e23993 , 2024
    2024
    Citations: 19
  • Identifikasi Varietas Berdasarkan Warna dan Tekstur Permukaan Beras Menggunakan Pengolahan Citra Digital dan Jaringan Syaraf Tiruan
    A Adnan, S Suhartini, B Kusbiantoro
    Jurnal Penelitian Pertanian Tanaman Pangan 32 (2), 124654 , 2013
    2013
    Citations: 18
  • Necessity of Log (1/R) and Kubelka-Munk transformation in chemometrics analysis to predict white rice flour adulteration in brown rice flour using visible-near-infrared …
    L Rahmawati, AM Zahra, R Listanti, RE Masithoh, H Hariadi, Adnan, ...
    Food Science and Technology 43, e116422 , 2023
    2023
    Citations: 12
  • The Effect of three drying methods on physicochemical properties of powdered butterfly pea flower extract (Clitoria ternatea L.)
    H HARIADI, S AMIEN, A KARUNIAWAN, S DARNIADI, D HISTIFARINA, ...
    Food Science and Technology 44 , 2024
    2024
    Citations: 10
  • Identifikasi Varietas Padi Menggunakan Pengolahan Citra Digital dan Analisis Diskriminan
    Adnan, ML Widiastuti, S Wahyuni
    Jurnal Penelitian Pertanian Tanaman Pangan 34 (2), 89-96 , 2015
    2015
    Citations: 9
  • Pertumbuhan dan produktivitas 5 varietas unggul baru padi di lahan bukaan baru Kabupaten Boven Digoel
    F Shoidah, A Adnan
    Agrosains: Jurnal Penelitian Agronomi 23 (1), 6-11 , 2021
    2021
    Citations: 8
  • Unlocking the Potential of Pongamia pinnata : A Scoping Review and Bibliometric Analysis (ScoRBA) Guided by the PAGER Framework
    A Aminah, A Adnan, N Qomariyah, R Krisnan, L Anggraini, S Supatmi, ...
    Forest Science and Technology 21 (3), 302-317 , 2025
    2025
    Citations: 7
  • Evolving Paradigms in Sorghum Research: A Bibliometric and Content Analysis of Global Trends and Future Directions
    A Adnan, COI Hastuti, A Hadiarto, IP Lestari, Y Haryati, E Ariningsih, ...
    International Journal of Design & Nature and Ecodynamics 19 (3), 887-898 , 2024
    2024
    Citations: 5
  • THE ECONOMICAL FEASIBILITY OF SOYBEAN FARMING WITH THE INTEGRATED CROP MANAGEMENT (ICM): CASE STUDY AT NIMBOKRANG DISTRICT JAYAPURA
    P Laksono, A Adnan
    Widyariset 14 (2), 267-274 , 2011
    2011
    Citations: 3
  • Drying and sortation to improve green beans and cup quality of Wamena coffee
    Adnan, MS Lestari
    E3S Web of Conferences 306, 03024 , 2021
    2021
    Citations: 2
  • The potential of Inceptisol soil for rice development in Boven Digoel, Papua
    HS Wulanningtyas, A Kasim, Adnan
    IOP Conference Series: Earth and Environmental Science 1463 (1), 012008 , 2025
    2025
    Citations: 1
  • The Effect Characteristic of Aloe Vera and Grass Jelly Leaves as Edible Coating of Shallot ( Allium Cepa L ) During Storage
    W Trisnawati, Adnan, L Nuraini, Astuti, NN Arya
    BIO Web of Conferences 69, 01025 , 2023
    2023
    Citations: 1
  • Comparative Study of NIR-Based Machine Learning for Predicting Soil Nutrients in Indonesian Farmlands
    A Adnan, RT Iqbal, S Yaya, A Abdul, R Taslim, K Amrullah, FN Nurul
    Acta Technologica Agriculturae 29 (1), 27-34 , 2026
    2026
  • A bibliometric review of the effects of carbon pollution on soil nutrient quality in sustainable agriculture: exploring future research directions
    A Kamaruddin, A Kartono, R Febryarto, A Adnan, S Karim
    Journal of Physics: Conference Series 2973 (1), 012004 , 2025
    2025
  • Predictive soil nutrient modeling with spectral data and machine learning in four major Indonesian Provinces located on the island of java
    TI Ramdhani, Adnan, Y Suryana, T Rochmadi, A Aziz, A Kamaruddin, ...
    IOP Conference Series: Earth and Environmental Science 1419 (1), 012007 , 2024
    2024
  • Enhancing maize germplasm selection for genebanks: A decision support system combining shannon-weaver diversity index and machine learning
    A Adnan, Y Suryana, A Aziz, T Rochmadi, AR Hakim, A Risliawati, ...
    International Journal of Design & Nature and Ecodynamics 19 (2), 629-637 , 2024
    2024
  • Grain quality of rice at dry planting seasons in Muara Tami district, Jayapura city
    L Nuraini, Adnan, W Trisnawati
    AIP Conference Proceedings 2957 (1), 050032 , 2024
    2024
  • Physicochemical characterization and shelf-life prediction of mocaf flour from different starter culture and cassava varieties
    W Trisnawati, L Nuraini, Adnan
    AIP Conference Proceedings 2957 (1), 030005 , 2024
    2024