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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Informatics and Communication Technology (IJ-ICT) Teknotan: Jurnal Industri Teknologi Pertanian Bulletin of Electrical Engineering and Informatics PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic AGRIEKONOMIKA Dharmakarya : Jurnal Aplikasi Ipteks Untuk Masyarakat Kultivasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Syntax Literate: Jurnal Ilmiah Indonesia Jurnal Agrotek Tropika Journal of Tropical Crop Science Indonesian Journal of Electrical Engineering and Computer Science Computer Science and Information Technologies Jurnal Teknik Informatika (JUTIF) Indonesian Journal of Community Services Cel International Journal of Applied Mathematics, Sciences, and Technology for National Defense Jurnal Pengabdian Masyarakat Nasional Journal Collabits
Rahmat Budiarto
Department Of Agronomy, Faculty Of Agriculture, Universitas Padjadjaran, Sumedang, 45363, Indonesia
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Physics Public Health Social Sciences Other

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The effect of fruit maturation stage on seed germination of iaa9-3 and iaa9-5 tomato mutants Al Aufa, Elfa Muhammad Ihsan; Mubarok, Syariful; Nuraini, Anne; Budiarto, Rahmat; Waluyo, Nurmalita; Ezura, Hiroshi
Kultivasi Vol 23, No 1 (2024): Jurnal Kultivasi
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/kultivasi.v23i1.40859

Abstract

One of the internal factors that play an important role in seed quality is the level of the phytohormone auxin. Efforts to increase auxin in seeds include developing new varieties with increased indigenous auxin, such as those found in mutant tomatoes from Micro-Tom, namely iaa9-3 and iaa9-5. This research was conducted to determine the germination response of iaa9-3 and iaa9-5 mutant tomato seeds at different levels of the fruit maturation stage. The research was carried out at the Seed Technology Laboratory, Faculty of Agriculture, Padjadjaran University, and the Seed Testing Laboratory of the Center for Standard Testing of Vegetable Plant Instruments. The response design used was a completely randomized factorial design consisting of two factors and repeated three times. The first factor was the iaa9-3, iaa9-5, and Wild-Type Micro-Tom (WT-MT) mutants as controls. The second factor is the fruit maturation stage, which consists of Breaker, Pink, and Red. The research results showed that there was an interaction between genotype and fruit maturation stage on the parameters of germination, growth simultaneity, and hypocotyl length.  The harvest stage for tomatoes to produce normal strong seed germination was the pink stage in all tomato genotypes tested. The best germination rate was shown by WTMT seeds at the pink stage, genotype iaa9-3 at the red stage, and genotype iaa9-5 at the red or pink stage. The effect of fruit maturity stage on the synchronization of sprout growth was relatively not significantly different in mutant tomatoes, but it had an effect in WTMT tomatoes, namely the best pink stage.
The incorporation of stacked long short-term memory into intrusion detection systems for botnet attack classification Heryanto, Ahmad; Stiawan, Deris; Hermansyah, Adi; Firnando, Rici; Pertiwi, Hanna; Bin Idris, Mohd Yazid; Budiarto, Rahmat
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i3.pp3657-3670

Abstract

Botnets are a common cyber-attack method on the internet, causing infrastructure damage, data theft, and malware distribution. The continuous evolution and adaptation to enhanced defense tactics make botnets a strong and difficult threat to combat. In light of this, the study's main objective was to find out how well techniques like principal component analysis (PCA), synthetic minority oversampling technique (SMOTE), and long short-term memory (LSTM) can help find botnet attacks. PCA shows the ability to reduce the feature dimensions in network data, allowing for a more efficient and effective representation of the patterns contained. The SMOTE addresses class imbalances in the dataset, enhancing the model's ability to recognize suspicious activity. Furthermore, LSTM classifies sequential data, understanding complex network patterns and behaviors often used by botnets. The combination of these three methods provided a substantial improvement in detecting suspicious botnet activities. We also evaluated the effectiveness using performance metrics such as accuracy, precision, recall, and F1-score. The results showed an accuracy of 96.77%, precision of 88.95%, recall of 88.58%, and F1-score of 88.64%, indicating that the proposed model was reliable in detecting botnet traffic compared to other deep learning models. Furthermore, LSTM can classify sequential data, understanding complex network patterns and behaviors often used by botnets.
Proposed threshold-based and rule-based approaches to detecting duplicates in bibliographic database Amin, M. Miftakul; Stiawan, Deris; Ermatita, Ermatita; Budiarto, Rahmat
Bulletin of Electrical Engineering and Informatics Vol 13, No 3: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i3.7665

Abstract

Bibliographic databases are used to measure the performance of researchers, universities and research institutions. Thus, high data quality is required and data duplication is avoided. One of the weaknesses of the threshold-based approach in duplication detection is the low accuracy level. Therefore, another approach is required to improve duplication detection. This study proposes a method that combines threshold-based and rule-based approaches to perform duplication detection. These two approaches are implemented in the comparison stage. The cosine similarity function is used to create weight vectors from the features. Then, the comparison operator is used to determine whether the pair of records are grouped as duplication or not. Three research databases: Web of Science (WoS), Scopus, and Google Scholar (GS) on the Science and Technology Index (SINTA) database are investigated. Rule 4 and Rule 5 provide the best performance. For WoS dataset, the accuracy, precision, recall, and F1-measure values were 100.00%. For Scopus dataset, the accuracy and precision values were 100.00%, recall: 98.00%, and the F1-measure value is 98.00%. For GS dataset, the accuracy value was 100.00%, precision: 99.00%, recall: 97.00%, and the F1-measure value is 98.00%. The proposed method is potential tool for accurate detection on duplication records in publication databases.
PEMANFAATAN LAHAN PEKARANGAN DENGAN BERCOCOK TANAM SAYURAN DI DESA MEKARJAYA KABUPATEN BANDUNG Farida, Farida; Suminar, Erni; Budiarto, Rahmat
Dharmakarya Vol 12, No 3 (2023): September, 2023
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/dharmakarya.v12i3.41873

Abstract

Desa Mekarjaya berada di kawasan Kabupaten Bandung dengan wilayah pertanian cukup luas. Masa pandemik saat ini menyebabkan aktivitas di luar rumah menjadi terbatas, sebegian besar kegiatan dilakukan secara daring (online). Salah satu kegiatan yang dapat dilakukan tanpa daring yaitu bercocok tanam di pekarangan sekitar rumah. Sayuran merupakan salah satu komoditas yang diperlukan sehari-hari untuk dikonsumsi warga, oleh karena itu sangat tepat apabila pekarangan rumah dimanfaatkan untuk kegiatan bercocok tanam sayuran. Sayangnya informasi dan pengetahuan tentang bercocok tanam masih kurang maksimal (data hasil survey). Berdasarkan data tersebut kami melaksanakan kegiatan pengabdian kepada warga desa Mekarjaya melalui organisasi Pemberdayaan Kesejahteraan Keluarga (PKK) setempat. Sosialisasi kegiatan ini menggunakan  metode penyuluhan secara daring dan praktek langsung di pekarangan/lahan warga (demonstration plot). Disamping itu, warga yang berpartisipasi sebagai peserta penyuluhan juga diberikan benih bersertifikat yang memiliki daya tumbuh yang baik. Kegiatan ini bertujuan untuk membeikan motivasi dalam melakukan bercocok tanam sayuran yang dapat dikonsumsi langsung atau dijual sebagai sumber pendapatan tambahan. Hasil kegiatan menunjukkan bahwa adanya respon yang positif terlihat dari minat dan ketertarikan ibu-ibu  PKK Desa Mekarjaya dalam bercocok tanam sayuran.
Prediction of NPK doses based on targeted fruit sugar content in Cucumis melo L. ‘Cantaloupe’ using a simple regression method Wibawa, Rangga; Mubarok, Syariful; Kusumiyati, Kusumiyati; Wicaksono, Fiky Yulianto; Ruminta, Ruminta; Budiarto, Rahmat; Putri, Dina; Varinto, Irvan; Rizki, Muhammad; Maolana, Adrian; Nisa, Kahirun; Giyarto, Gunes
Kultivasi Vol 23, No 3 (2024): Jurnal Kultivasi
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/kultivasi.v23i3.57162

Abstract

The fruit sweetness is the main target in melon plant production. The highest criterion of sweetness is excellent, with 16% of total sugar content. Modification of essential plant nutrients is the alternative to reach that category. So, this study aims to obtain optimum NPK doses using a simple regression method. The experiment was conducted in a greenhouse with a soilless culture hydroponic system from August until November 2023 using a completely randomized design (CRD) with five treatments and four replications. The parameters included leaf area, plant dry matter, leaf nutrient uptake, fruit weight, and fruit sugar content. Pearson correlation analysis showed that the total sugar content in fruit has a significantly positive correlation with potassium in NPK fertilizer treatments such as K2O dose and K2O uptake at 7 WAP, i.e., 0.932 and 0.973, respectively. According to the regression model y = -50.7 + 1.079 N + 0.251 P2O5 + 0.528 K2O, the NPK formula fertilizer containing 31.56 g N, 23.99 g P2O5, and 50.42 g K2O can be used by grower to produce excellent fruit sugar content.
Impacts of gibberellin application on citrus: An overview from seed germination to fruit quality enhancement Rahma, Siti Auliya; Budiarto, Rahmat; Mubarok, Syariful; Abdullakasim, Supatida
Kultivasi Vol 23, No 3 (2024): Jurnal Kultivasi
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/kultivasi.v23i3.58796

Abstract

Gibberellins are key plant hormones, and their application in citrus plants is frequently reported. This review aims to provide an overview of the application of gibberellic acid (GA3) in citrus cultivation, emphasizing their effects on growth, flowering, fruit quality, and ripening. Citrus fruits often face challenges like irregular fruit set, size inconsistency, and environmental stress, impacting yield and profitability, with exogenous gibberellin application as a potential solution. Applying gibberellins can accelerate citrus seed germination and seedling growth, enhance vegetative growth, inhibit flowering, delay fruit ripening, and improve fruit quality. However, the efficacy of gibberellins varies across species and conditions, highlighting the need for reference studies. This work presents an alternative option for optimizing gibberellin use to support sustainable citrus production practices.
An overview of gibberellin inhibitors for regulating vegetable growth and development Setiawan, Erik; Budiarto, Rahmat; Hamdani, Jajang Sauman; Ghorbanpour, Mansour
Kultivasi Vol 23, No 3 (2024): Jurnal Kultivasi
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/kultivasi.v23i3.58797

Abstract

Gibberellin (GAs) promotes plant growth processes like germination, shoot elongation, root development, and flowering, while its inhibition is occasionally used in some vegetable crop practices. This paper aims to review the current literature on GAs inhibitors in practical vegetable crops and suggest future strategies for increasing yield. In some vegetable crops, inhibiting GAs with natural (abscisic acid, ethylene) or synthetic (paclobutrazol, prohexadione-Ca) regulators is key to improving yield and quality. Abscisic acid (ABA) counteracts GAs in germination and stress adaptation, while ethylene (ET) opposes GAs in senescence and growth inhibition. The application of paclobutrazol (PBZ) and prohexadione-Ca (Pro-Ca) is known to inhibit synthetic GAs, resulting in denser plants while improving plant photosynthetic efficiency, which improves crop yield. Achieving desired growth and yields with GAs inhibitors relies on precise dosing, emphasizing the importance of review studies for advancing vegetable cultivation.
Guidance on Growing Kaffir Lime Seedlings for Housewives at Pajagan Village, Sumedang Budiarto, Rahmat; Mubarok, Syariful; Kusumiyati; Farida; Sutari, Wawan; Soleh, Mochamad Arief; Nuraini, Anne; Djaya, Luciana; Rasiska, Siska
Indonesian Journal of Community Services Cel Vol. 3 No. 2 (2024): Indonesian Journal of Community Services Cel
Publisher : Research and Social Study Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70110/ijcsc.v3i2.63

Abstract

Kaffir lime is popularly used by woman, especially housewives for cooking Indonesia dishes. The purpose of present activity was to provide simple guidance on growing kaffir lime for housewives at Pajagan Village, Sumedang, West Java. This counseling was provided for 20 housewives who are members of the Family Empowerment and Welfare (PKK) organization in Pajagan Village. The simple guidance is provided to housewives for planting kaffir lime in their yard, as follows: selecting best seedling, correct transplanting, regular irrigation, effective and efficient fertilizer application and proper harvesting. Housewives were each given one kaffir lime seedling to use as planting practice material. Housewives were very happy, grateful and believed to be more independent in terms of food spice. This activity is hoped to empower housewives to cultivate kaffir lime on their own yard for their daily spice needs.
User behavior analysis for insider attack detection using a combination of memory prediction model and recursive feature elimination algorithm Triana, Yaya Sudarya; Osman, Mohd Azam; Stiawan, Deris; Budiarto, Rahmat
International Journal of Electrical and Computer Engineering (IJECE) Vol 15, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v15i2.pp1793-1804

Abstract

Existing defense tools against the insider attacks are rare, not in real time fashion and suffer from low detection accuracy as the attacks become more sophisticated. Thus, a detection tool with online learning ability and better accuracy is required urgently. This study proposes an insider attack detection model by leveraging entity behavior analysis technique based on a memory prediction model combined with the recursive feature elimination (RFE) feature selection algorithm. The memory-prediction model provides ability to perform online learning, while the RFE algorithm is deployed to reduce data dimensionality. Dataset for the experiment was created from a real network with 150 active users, and mixed with attacks data from publicly available dataset. The dataset is simulated on a testbed network environment consisting of a server configured to run 4 virtual servers and other two computers as traffic generator and detection tool. The experimental results show 94.01% of detection accuracy, 95.64% of precision, 99.28% of sensitivity, and 96.08% of F1-score. The proposed model is able to perform on-the-fly learning to address evolving nature of the attacks. Combining memory prediction models with the RFE for user behavior analysis is a promising approach, and achieving high accuracy is definitely a positive outcome.
Dragon Fruit (Hylocereus polyrhizus) Cultivation in Pareugreug Hill, Pajagan Village: A Community Service Case Budiarto, Rahmat; Mubarok, Syariful; Kusumiyati; Farida; Sutari, Wawan; Soleh, Mochamad Arief; Nuraini, Anne; Djaya, Luciana; Rasiska, Siska; Istifadah, Noor
Indonesian Journal of Community Services Cel Vol. 4 No. 1 (2025): Indonesian Journal of Community Services Cel
Publisher : Research and Social Study Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70110/ijcsc.v4i1.86

Abstract

Red-fleshed dragon fruit (Hylocereus polyrhizus) has gained popularity in Indonesia due to its nutritional value and economic potential. This work was aimed to report the community service about dragon fruit cultivation in Pareugreug Hill, Pajagan Village, Sumedang. The consultation was held during January to February 2025. This study documented the sustainable agricultural practices such as implementation of vegetative propagation, organic fertilization, and natural climbing supports for dragon fruit. At 15 months after planting, 5% of the 400 plants had entered the fruiting stage. However, challenges such as pathogen attacks remain, requiring further research to improve disease management and ensure sustainable cultivation.
Co-Authors Abdullakasim, Supatida Adi Hermansyah, Adi Aditya Pradana Ahmad Heryanto, Ahmad Ahmed, Ali Siraj Al Aufa, Elfa Muhammad Ihsan Ali Firdaus Alshaflut, Ahmed ANDRIA AGUSTA ANNE NURAINI Anni Yuniarti Anto Saputra, Iwan Pahendra Audrey, Berby Febriana Azka Ghafara Putra Agung Bedine Kerim, Bedine Bin Idris, Mohd Yazid Deris Stiawan Dikdik Kurnia Dwi Budi Santoso Dwinanda, Syahvan Rifqi Edi Santosa Efendi, Darda Envry Artanti Duidahayu Putri Erik Setiawan Ermatita - Erni Suminar Ezura, Hiroshi Fadlan Atalla Muhammad Fajri, Hauzan Ariq Musyaffa Fakhrudin, Zidan Al Buqhori Fakhrurroja, Hanif Farida Farida Farida Fauziah, Rossita Fiky Yulianto Wicaksono Firnando, Rici Firstina Iswari Ghorbanpour, Mansour Giyarto, Gunes Hadipurnawan Satria Harjunadi Wicaksono, Harjunadi Haryanto, Yoyon Hauzan Ariq Musyaffa Fajri Hayane Adeline Warganegara, Hayane Adeline Helvi Yanfika Idris, Mohd Yazid Bin Iman Saladin B. Azhar Indah Listiana Iswari, Firstina Jajang Sauman Hamdani Jatmika, Muhammad O. Juli Rejito Kemahyanto Exaudi Komala, Mega Kus Hendarto, Kus Kusumadewi, Vira Kusumiyati Kusumiyati Luciana Djaya, Luciana M. Miftakul Amin Maolana, Adrian Mochamad Arief Soleh, Mochamad Arief Mohamed Shenify Mohd Yazid Idris Mohd Yazid Idris Mohd. Yazid Idris Mugianto, Dwi Rizki Muhammad Afif Muhammad Rifqi Muhammad Rizki Muhammad, Fadlan Atalla Nisa, Kahirun Noor Istifadah Nursuhud Nursuhud Nuzulastri, Sari Osman, Mohd Azam Pakpahan, Hansel Arie Pertiwi, Hanna Prasetyo, Lindo Pratita, Dian Galuh Pratomo, Adji Prihandi, Ifan Putra Perdana Prasetyo, Aditya Putri, Azizah Tiara Putri, Dina Putri, Envry Artanti Duidahayu Rahma, Siti Auliya Rahmad, Khozaeni Bin Rahmat, Bayu Pradana Nur Ramadani, Selika Fitrian Reza Maulana RIKA MELIANSYAH Roedhy Poerwanto Rofiq, Muhamad Abdul Rossita Fauziah Ruminta Ruminta Salamah, Raisha Nur Samsuryadi Samsuryadi Saputra, Muhammad Ajran Sarmayanta Sembiring Semendawai, Jaka Naufal Setiawan, Deris Shadiq, Jafar Sidabutar, Alex Onesimus SIska Rasiska, SIska Siti Julaeha, Siti Susanto Susanto Syamsul Arifin, M. Agus SYARIFUL MUBAROK Varinto, Irvan Waluyo, Nurmalita Wawan Sutari Wibawa, Rangga Widyastuti, R.A.D. Yaya Sudarya Triana Yazid Idris, Mohd. Yudho Suprapto, Bhakti Yulianto, Fiky Yusti Yusti, Yusti Zulhipni Reno Saputra Els