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All Journal Jurnal Ilmu Pertanian Indonesia Jurnal Hortikultura Indonesia (JHI) Jurnal Ilmu Tanah dan Lingkungan (Journal of Soil Science and Environment) Journal of Tropical Soils Siscode Jurnal Teknologi Informasi dan Ilmu Komputer Setrum : Sistem Kendali-Tenaga-elektronika-telekomunikasi-komputer Agrokreatif Jurnal Ilmiah Pengabdian kepada Masyarakat Jurnal Ampere Edu Komputika Journal Kultivasi Turbo : Jurnal Program Studi Teknik Mesin Jurnal Penelitian Kelapa Sawit Antivirus : Jurnal Ilmiah Teknik Informatika JATI (Jurnal Mahasiswa Teknik Informatika) CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Budimas : Jurnal Pengabdian Masyarakat Community Development Journal: Jurnal Pengabdian Masyarakat Abdi Masya International Journal Of Computer, Network Security and Information System (IJCONSIST) Teknika Jurnal Insan Pembangunan Sistem Informasi dan Komputer (IPSIKOM) Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Sanskara Hukum dan HAM Jurnal Bisnis dan Manajemen West Science West Science Interdisciplinary Studies West Science Interdisciplinary Studies ITIJ West Science Social and Humanities Studies West Science Agro Jurnal Komplikasi Anestesi IPSIKOM INERSIA Modem : Jurnal Informatika dan Sains Teknologi Journal of Social Sciences and Technology for Community Service Journal of Computer Science Advancements
Budi Nugroho
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Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Neuroscience Public Health Social Sciences Transportation Other

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Bibliometric Analysis of Agropreneurship Judijanto, Loso; Soelistianto, Farida Arinie; Nugroho, Budi
West Science Agro Vol. 3 No. 01 (2025): West Science Agro
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsa.v3i01.1686

Abstract

Agropreneurship, the integration of agriculture and entrepreneurship, has gained significant attention as a means of fostering economic growth, rural development, and sustainable agricultural practices. This study employs a bibliometric analysis to assess the research landscape of agropreneurship, using Scopus as the primary data source and VOSviewer for analytical visualization. The findings reveal key thematic clusters, including innovation, sustainability, policy interventions, and entrepreneurial behaviors, which highlight the multidisciplinary nature of agropreneurship research. The study also identifies emerging trends such as digital agropreneurship, climate-smart agriculture, and financial support mechanisms for smallholder farmers. Despite the growing interest, research fragmentation and the need for greater interdisciplinary collaboration remain challenges. The study concludes that fostering technological integration, strengthening market access, and enhancing policy frameworks are critical to advancing agropreneurship. Future research should focus on addressing these gaps to support sustainable agricultural entrepreneurship and global food security.
Strategi Peralihan ke Ekonomi Sirkular dalam Pengelolaan Limbah Perkotaan Judijanto, Loso; Nugroho, Budi
Jurnal Bisnis dan Manajemen West Science Vol 4 No 01 (2025): Jurnal Bisnis dan Manajemen West Science
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/jbmws.v4i01.2038

Abstract

Transisi menuju Ekonomi Melingkar (Circular Economy/CE) dalam pengelolaan sampah perkotaan merupakan strategi penting untuk pembangunan perkotaan yang berkelanjutan. Tinjauan literatur sistematis (SLR) ini menganalisis 55 dokumen yang bersumber dari database Scopus, mengeksplorasi berbagai strategi, tantangan, dan peluang dalam adopsi CE dalam pengelolaan sampah perkotaan. Kajian ini mengungkapkan bahwa strategi utama termasuk pencegahan limbah, pemulihan sumber daya, dan integrasi model bisnis sirkular. Namun, tantangan yang signifikan seperti hambatan peraturan, kendala keuangan, keterbatasan teknologi, dan resistensi terhadap perubahan perilaku menghambat implementasi CE secara luas. Terlepas dari hambatan-hambatan ini, peluang dalam integrasi kebijakan, inovasi teknologi, kolaborasi pemangku kepentingan, dan kesadaran publik menawarkan jalur untuk memajukan transisi CE. Temuan ini menunjukkan bahwa pendekatan multi-pemangku kepentingan yang terkoordinasi, bersama dengan investasi dalam teknologi digital dan kerangka kerja kebijakan yang kuat, sangat penting untuk mempercepat adopsi CE dalam sistem pengelolaan sampah perkotaan.
Implementation Of Hybrid EfficientNet V2 And Vision Transformer for Apple Leaf Diseases Classification Santoso, Sri Fuji; Hadi, Surjo; Nugroho, Budi; Mas Diyasa, I Gede Susrama
Information Technology International Journal Vol. 3 No. 1 (2025): Information Technology International Journal
Publisher : Magister Teknologi Informasi UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/itij.v3i1.42

Abstract

The apple farming industry faces challenges in managing apple leaf diseases. Current manual detection methods have limitations in expertise variability, time required, potential delays in identification leading to disease spread, and difficulty distinguishing diseases with similar visual symptoms. This research aims to develop an accurate, efficient, and automated apple leaf disease classification system using a hybrid approach that combines EfficientNet V2 architecture and Vision Transformer. The main objectives are to improve disease detection accuracy, reduce computational requirements, facilitate more effective plant management, and support modern agricultural practices in the apple industry. This research uses a hybrid deep learning model that integrates EfficientNet V2 and Vision Transformer components. Experiments were conducted on an apple leaf disease dataset to evaluate model performance. Results show the effectiveness of this method in classifying apple leaf diseases, achieving 98.56% accuracy and an F1 score of 0.9856 on test data. The proposed model has 15.6 million parameters, lighter than the original EfficientNetV2S model with 20 million parameters. Training time was reduced to 6 minutes 32 seconds compared to the original EfficientNetV2S model that required 8 minutes 41 seconds for 5 epochs on the same dataset.
Brain Tumor Classification with Hybrid Algorithm Convolutional Neural Network-Extreme Learning Machine Wahid, Radical Rakhman; Anggraeni, Fetty Tri; Nugroho, Budi
IJCONSIST JOURNALS Vol 3 No 1 (2021): September
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (803.543 KB) | DOI: 10.33005/ijconsist.v3i1.53

Abstract

Brain tumor is a disease that attacks the brains of living things in which brain cells grow abnormally in the area around the brain. Various ways have been done to detect this disease, one of which is through the anatomical approach to medical images. In this study, the authors propose a Convolutional Neural Network (CNN)-Extreme Learning Machine (ELM) hybrid algorithm through Magnetic Resonance Imaging (MRI). ELM was chosen because of its superiority in the training process, which is faster than iterative machine learning algorithms, while CNN was chosen to replace the traditional feature extraction process. The result is CNN-ELM, which has 8 filters in the convolution layer and 6000 nodes in the hidden layer, has the best performance compared to CNN-ELM another model which has different number of filters and number of nodes in the hidden layer. This is evidenced by the average value of precision, recall, and F1-score which is 0.915 while the accuracy of the test is 91.4%.
Performance of Contrast Adjustment in Face Recognition with Training Image under Various Lighting Conditions Nugroho, Budi; Eva Yulia Puspaningrum
IJCONSIST JOURNALS Vol 3 No 2 (2022): March
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v3i2.63

Abstract

The lighting factor has a very significant effect on facial recognition performance. To reduce the effect of this lighting factor, at the pre-processing stage the researchers used contrast adjustments to the image to improve facial recognition performance. The histogram equalization technique is generally used for contrast adjustment because of its excellent performance to normalize image illumination which is affected by lighting conditions. In this research, empirical experiments were carried out to determine the effect of contrast adjustment using histogram equalization on face recognition in more detail. This research aims to answer the question whether this technique can be used in all image lighting conditions or not. The Robust Regression method is used in this research to recognize faces, which in many cases have very good performance due to lighting factors. Experiments using images in the AR Face Database related to lighting factors. The testing process is carried out by comparing the results of face recognition using the histogram equalization technique in the pre-processing phase and face recognition without pre-processing in each lighting condition. The experimental results show that the use of the histogram equalization technique in pre-processing gives a better face recognition performance effect in low, medium and high lighting conditions. But in very high (extreme) lighting conditions, the use of the histogram equalization technique in pre-processing turns out to have a worse facial recognition performance effect, with an average accuracy of 93.17%, whereas without pre-processing it produces an average accuracy of 94 , 67%.
Performance of Contrast Adjustment Techniques on The Face Recognition Method with Test Data Under Varying Lighting Conditions Nugroho, Budi; Maulana, Hendra; Yuniarti, Anny
IJCONSIST JOURNALS Vol 6 No 2 (2025): March
Publisher : International Journal of Computer, Network Security and Information System

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/ijconsist.v6i2.130

Abstract

In the face recognition process influenced by lighting, the application of the image enhancement process at the preprocessing stage plays an important role in normalizing image contrast so that the quality of the input image becomes better. This step is expected to improve face recognition performance. In this study, we implement a lighting-influenced face recognition method, namely Robust Regression, and test several image enhancement techniques in the preprocessing phase to determine their effects on face recognition performance under different image lighting conditions, including Contrast-limited Adaptive Histogram Equalization (CLAHE), Histogram Equalization (Histeq), and Image Intensity Adjustment (Imadjust). HE uses a global technique that adjusts the overall intensity of the image. CLAHE uses a local technique that adjusts the intensity of pixels based on their surrounding areas. Meanwhile, the Imadjust function adjusts the intensity of image pixels based on the specified minimum and maximum values. The experiment is conducted using the AR Face Database which contains images affected by lighting factors. Lighting conditions include several categories, namely low, medium, high, and very high (extreme) lighting conditions. The experimental scenario is carried out by comparing the results of face recognition using several preprocessing techniques on each test data. The experimental results show that image enhancement techniques improve the performance of face recognition. The face recognition approach that adds the CLAHE technique to the preprocessing shows the highest performance of 95.87%. Meanwhile, the face recognition approach that adds the Imadjust technique to the preprocessing shows the lowest performance of 84.38%.
Regulasi Keamanan Siber dan Penegakan Hukum terhadap Cybercrime di Indonesia Judijanto, Loso; Nugroho, Budi
Sanskara Hukum dan HAM Vol. 3 No. 03 (2025): Sanskara Hukum dan HAM (SHH)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/shh.v3i03.544

Abstract

Penelitian ini mengkaji peraturan keamanan siber dan mekanisme penegakan hukum di Indonesia dalam menangani kejahatan siber dengan menggunakan pendekatan yuridis normatif. Analisis ini menunjukkan adanya kemajuan yang signifikan, termasuk pemberlakuan Undang-Undang Informasi dan Transaksi Elektronik (UU ITE) dan Undang-Undang Perlindungan Data Pribadi (UU PDP). Namun, masih ada kesenjangan dalam menangani ancaman yang muncul, ambiguitas dalam ketentuan hukum, dan inefisiensi penegakan hukum karena sumber daya yang terbatas dan masalah koordinasi. Perbandingan dengan kerangka kerja internasional, seperti Konvensi Budapest dan inisiatif keamanan siber ASEAN, menyoroti bidang-bidang yang perlu ditingkatkan. Rekomendasi yang diberikan mencakup reformasi hukum, peningkatan kapasitas, kolaborasi internasional, dan peningkatan kemitraan publik-swasta untuk memperkuat ekosistem keamanan siber Indonesia dan memerangi lanskap ancaman siber yang terus berkembang.
Analysis of SEO Strategy and Interactive Content Marketing in Increasing Online Visibility and Sales at E-Commerce in West Java Faridah, Faridah; Nugroho, Budi; Arini, Rani Eka
West Science Social and Humanities Studies Vol. 3 No. 04 (2025): West Science Social and Humanities Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsshs.v3i04.1857

Abstract

This study investigates the impact of SEO Strategy and Interactive Content Marketing on online visibility and sales in the e-commerce sector in West Java. A quantitative research design was employed, with data collected from 190 respondents using a Likert scale (1–5). Data analysis was conducted using Structural Equation Modeling-Partial Least Squares (SEM-PLS). Results reveal that Interactive Content Marketing significantly improves online visibility and sales, while SEO Strategy also contributes positively, albeit to a lesser degree. Online visibility plays a crucial role in driving sales. The study highlights the synergistic relationship between SEO and interactive content in enhancing e-commerce performance. These findings offer valuable insights for practitioners seeking to optimize digital marketing strategies in competitive online markets. 
Study of Root Exudate Organic Acids and Microbial Population in the Rhizosphere of Oil Palm Seedling Anandyawati, .; Sumarsih, Enok; Nugroho, Budi; Widyastuti, Rahayu
JOURNAL OF TROPICAL SOILS Vol. 22 No. 1: January 2017
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2017.v22i1.29-36

Abstract

Mutual interaction between plants and microbes occured in the rhizosphere is expected to increase productivity of crops or soil fertility for agriculture. Plants excrete root exudates to attract microbes, and then microbes obtain habitat and food supply from plants and can fulfill the nutrient requirements through assisted enzymatic activity. The objective of the research was to study the types and amounts of root exudate organic acids, microbial population, and the relationship between root exudate organic acids and microbial population in the rhizosphere of oil palm seedlings. The study was conducted in a greenhouse using a planting medium of sterile quartz sand. The study was conducted using two factorials completely randomized design with three replications. The first factor was oil palm seedling age (control / no oil palm seed, 1, 3, 6, 9 and 12 months-old of oil palm seedlings) and the second factor was the periods of seedling growth (45, 90, 135 and 180 days), so in total there were 72 experimental units. The result of High Pressure Liquid Chromatography (HPLC) analysis revealed that four kinds of organic acids were observed in the rhizosphere of oil palm seedlings, with the highest concentration were: acetic acid (1.66 ppm), citric acid (0.157 ppm), malic acid (2.061 ppm) and oxalic acid (0.675) ppm. The highest total population of microbes, fungi, Azotobacter, phosphate solubilizing bacteria (PSB) and phosphate solubilizing fungi (PSF) were 19.38 × 106 cfu g-1 soil, 3.28 × 104 cfu g-1 soil, 12.09 × 105 cfu g-1 soil, 8.39 × 104 cfu g-1 soil and 1.15 × 104 cfu g-1 soil, respectively. There are positive correlations between root exudate organic acids and total microbes, fungi, Azotobacter, PSB and PSF are.Keywords: microbes, organic acids, rhizosphere, root exudates
The Changes of P-fractions and Solubility of Phosphate Rock in Ultisol Treated by Organic Matter and Phosphate Rock Djuniwati, Sri; Nugroho, Budi; Pulunggono, Heru Bagus
JOURNAL OF TROPICAL SOILS Vol. 17 No. 3: September 2012
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2012.v17i3.203-210

Abstract

Phosphorus (P) is one of the essential elements for plant, however, its availability is mostly very low in acid soils. It is well documented that application of phosphate rock and organic matter are able to change the level of availability of P-form in acid soils.  The objective of the research were to evaluate the changes of P-fractions ( resin-P, NaHCO3-Pi, and NaHCO3-Po) and phosphate rock dissolution which were induced by application of organic matter (Imperata cylindrica, Pueraria javanica, dan Colopogonium mucunoides) and phosphate rock in Utisol Lampung.  The experiment was designed in a completely randomized design with three factors and three replications.  The first factor was the types of organic matter (I. cylindrica, P. javanica, and C. mucunoides), the second factor was the rate of organic matter (0, 2.5, and 5%), and the third factor was the rate of phosphate rock (0, 40, and 80 mg P kg-1).  The results showed that in the  rate of 0 and 1% organic matter, the type of organic matter did not affect P-fraction of NaHCO3-Pi, but in the rate of 2.5 and 5%,  NaHCO3-Pi due to application of  P. javanica, and C. mucunoides higher than due to application of  I. cylindrica.  However, the increasing rate of organic matter increased NaHCO3-Pi. Then, P-fraction of Resin-Pi was affected by the type of organic matter, the rate of  organic matter, and the rate of phosphate rock, respectively. P-fraction of resin-Pi due to application of P.  javanica, and C. mucunoides was higher than due to application of  I. cylindrica, but the effect of  P. javanica, and C. mucunoides was not different.  Increasing the rate of organic matter and phosphate rock increased P-fraction of resin-Pi and NaHCO3-Pi, but P-fraction of NaHCO3-Po was not affected by all treatments.  Meanwhile, dissolution of phosphate rock was affected by the kind of organic matter and soil reaction.  In the rate of 5% organic matter, dissolution of  phosphate rock by application of                                     I. cylindrica (70%) was higher than P. javanica (26.6%), and C.  mucunoides (33.5%), but in the rate of 1%, the effect of I. cylindrica , P. javanica, and C. mucunoides were not different.Keywords: C. mucunoides; I. cylindrica; P. javanica; phosphate rock; P-fractions[How to Cite: Djuniwati S, B Nugroho, and HB Pulunggono. 2012. The Changes of P-fractions and Solubility of Phosphate Rock in Ultisol Treated by Organic Matter and Phosphate Rock. J Trop Soils, 17: 203-210. doi: 10.5400/jts.2012.17.3.203][Permalink/DOI: www.dx.doi.org/10.5400/jts.2012.17.3.203]
Co-Authors -, Rahmat AA Sudharmawan, AA Achmad Azhari Sidik Adi Laksono, Surya Afif Faishal Ageng Setiani Rafika Agung Karuniawan Agung Mustika Rizki Agung Supriyanto, Agung Ahmad, Raudah Akbar, Fawwaz Ali Akhmad Ridconi Alliah, Rahmadina Alwi, Salma Anandyawati, . Anas Dinurrohman Susila Anggraeni, Fetty Tri Anny Yuniarti Anugerah, Rico Putra Arafah, Salsabilla Putri Arif Agus Yulianto Arini, Rani Eka Atang Sutandi Awandi, Nadhif Mahardika Baba Barus Basuki Rahmat Masdi Siduppa Cale, Wolnough Cicilia Puji Rahayu Darda Effendi Debi Unsilatur Utami Dedi Nursyamsi Dermawan, Rahmansyah Dermawan Desi Nadalia Dian Koswara Edwar, Feabri Kurniawan Erlina Rahmayuni, Erlina Ernawati Eso Solihin Eva Yulia Puspaningrum Fachlevi, Muhammad Reza Fajar Setyawan, Handi Faridah Faridah Fernando Sitorus, Alberth Ghoni, Ruzlaini Hadi, Surjo Hari Agung Hayatu, Aiun Herning Indriastuti Heru Bagus Pulunggono I Gede Susrama Mas Diyasa Ibayasid Ibrahim, Mohd Tarmizi Indriyati, Lilik Tri Islam, Muhammad Qamarul J. Kuleh Jamaldi, Agus Jepriani, Sujiati Jie, Lie Joko Suryono Judijanto, Loso Juniardi, Salim Kamil, Insan Karminto, Karminto Kristiawan, Y. Yulianto Kukuh Murtilaksono Kurniawan, Abdi Lestari, Tri Rahayu Kuwat Margono Margono Maulana, Haris Maulana, Hendra Miftahul Nuril Silviyah Muhammad Muharrom Al Haromainy Mustika Rizki, Agung Nadia Nuraniya Kamaluddin Noviala Dwijayanti, Ayunda Noviana Prima Nurwijayanti Oki Dwi Endras Setyo Oscar, Schersclight OWB, Sektalonir Prihatin, Kukuh purbaningtyas, daru Purwono Purwono Purwono, Purwono Putrawirawan, Ashadi RAHAYU WIDYASTUTI Rahmat Rahmat Rahmawati, Heni Rahayu Rahmawati, Rahmawati Rahutomo, Suroso Ramadhan, Nur Muhammad Rengga, Fedrian Ahmadthur Reza Hanjaya Rija Sudirja Roedy Kristiyono, Roedy RR. Ella Evrita Hestiandari Santoso, Dwi Andreas Santoso, Sri Fuji Septiani, Nia Siswo Wardoyo Siti Nurzakiah Soelistianto, Farida Arinie Sri Ayu Winarti Sri Djuniwati Sri Indrawanti, Annisaa Sugiarto, Anton Sugimin . Sugiyanta Sujiati Jepriani Sukma, Azizah Marwa Sumarsih, Enok SUNARNO Suria Darma Tarigan Suroso , Priyo Suroso, Priyo Syaiful Anwar Syarifah Hudayah Teguh Firmansyah Tistro, Rafian Tumingan Untung Sudadi Vita Via, Yisti Wahid, Radical Rakhman Wardana, Amir Wibowo, Haryo Bagus Widiawati, Dhiana Dwi Wiyono Wiyono Yasmuna , M. Rajiv Yisti Vita Via Yusuf, Sri Malahayati