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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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Effect of preharvest paclobutrazol and nitrogen fertilizers on the sprouting performance of ‘median’ potato seed G0 tuber Hamdani, Jajang Sauman; Budiarto, Rahmat; Nuraini, Anne; Ramadani, Selika Fitrian
Kultivasi Vol 24, No 2 (2025): Jurnal Kultivasi
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/kultivasi.v24i2.64652

Abstract

Various intensifications of potato cultivation, such as the provision of paclobutrazol and nitrogen (N) fertilizer, are thought to impact the quality of the seeds produced. This study aims to evaluate the effects of different N fertilizer doses and paclobutrazol concentrations applied in the preharvest period on the sprouting performance of G0 potato tuber seeds after storage. Nine treatment combinations, each repeated three times, were tested, using 50%, 100%, and 150% of the recommended N dose and paclobutrazol concentrations of 50, 100, and 150 part per million (ppm), applied at 30 and 45 days after planting, respectively. The interaction effect between N fertilizer and paclobutrazol concentration was not significantly affected on all observed variables. Preharvest application of 100% N fertilizer produced the largest seedlings, indicated by the highest shoot length at 56 and 74 days after storage. Preharvest application of 150 ppm paclobutrazol produced the highest shoot length, shoot emergence rate, and seedling dry weight than other treatments. The present study implied the importance of preharvest N and paclobutrazol for improving the sprouting performance of G0 potato seed tuber.
Security and Performance Evaluation of PPTP-Based VPN with AES Encryption in Enterprise Network Environments Heryanto, Ahmad; Setiawan, Deris; Audrey, Berby Febriana; Hermansyah, Adi; Afifah, Nurul; Azhar, Iman Saladin B.; Idris, Mohd Yazid Bin; Budiarto, Rahmat
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 4 (2025): JUTIF Volume 6, Number 4, Agustus 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.4.4818

Abstract

In the context of the current digital era, Virtual Private Networks (VPNs) serve a critical function in ensuring the confidentiality and integrity of data transmitted across public networks, particularly within corporate environments. This study presents a comprehensive analysis of VPN security and performance, with a specific focus on the Point-to-Point Tunneling Protocol (PPTP) and the implementation of encryption algorithms such as AES-128 and AES-256. Despite the widespread adoption of PPTP due to its simplicity and broad compatibility, it exhibits significant security vulnerabilities, primarily stemming from its reliance on the outdated RC4-based Microsoft Point-to-Point Encryption (MPPE) and the susceptible MS-CHAP authentication protocol, which is highly vulnerable to brute-force and dictionary attacks. Empirical findings indicate that, although AES-128 and AES-256 introduce minor performance trade-offs compared to unencrypted configurations, AES-256 demonstrates markedly enhanced security, achieving a 98.9% authentication success rate and a threat detection time of 122 milliseconds. Nevertheless, increased user load adversely impacts network performance, with throughput declining from 95 Mbps to 40 Mbps as the user count rises from 5 to 50, accompanied by elevated latency and packet loss. Comparative analysis across three encryption scenarios AES-128, AES-256, and MPPE-PPTP reveals a consistent degradation in network performance as user load increases, with AES-256 offering the strongest security at the cost of slightly reduced throughput and increased latency under high-load conditions. MPPE-PPTP, while providing better throughput, lacks adequate security, making it unsuitable for high-risk environments. Based on these observations, this study recommends the implementation of AES-256 encryption in enterprise networks requiring high security, supported by continuous performance monitoring and strategic capacity planning. Furthermore, the adoption of a secure site-to-site VPN architecture is proposed to facilitate reliable and secure communication between geographically distributed office locations.
Data-Driven Insights for Higher Education Marketing: Segmenting Applicant Pools Using K-Means Clustering Shadiq, Jafar; Wicaksono, Harjunadi; Budiarto, Rahmat; Salamah, Raisha Nur; Fakhrudin, Zidan Al Buqhori
PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Vol. 13 No. 2 (2025): September 2025
Publisher : LPPM Universitas Islam 45 Bekasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33558/piksel.v13i2.11545

Abstract

This research aims to optimize marketing strategies for new student recruitment at Bina Insani University (BiU), which faces intense competition. The current marketing efforts are generic and inefficient. Utilizing the CRISP-DM framework, this study applies the K-Means clustering data mining method to analyze primary data from applicants from 2021 to 2024. The analysis focuses on the attributes of previous school major, information source, and location. The findings successfully identified four distinct segments of prospective students: the "Proactive Outreach Segment," reached through school presentations; the "Social Network & Affiliation Segment," influenced by friends and relatives; the "Academic Recommendation Segment," who rely on guidance from teachers; and the "Digital & Non-Technical Segment," who actively seek information on social media. Based on the unique profile of each cluster, this study provides recommendations for specific and targeted marketing strategies to improve the effectiveness and efficiency of student recruitment
PHENYLALANINE-INDUCED MODULATION OF CALLUS CHARACTERISTICS AND SECONDARY METABOLITE ACCUMULATION IN Ocimum basilicum L. UNDER IN VITRO CONDITIONS Suminar, Erni; Mubarok, Syariful; Budiarto, Rahmat; Yulianto, Fiky; Nuraini, Anne; Yuniarti, Anni; Kusumadewi, Vira; Meliansyah, Rika; Kurnia, Dikdik; Julaeha, Siti
Jurnal Agrotek Tropika Vol. 13 No. 3 (2025): JURNAL AGROTEK TROPIKA VOL 13, AGUSTUS 2025
Publisher : Departement of Agrotechnology, Agriculture Faculty, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jat.v13i3.11044

Abstract

Basil (Ocimum basilicum L.) is widely used in traditional medicine due to its rich content of phenolic and flavonoid compounds. However, the natural production of these metabolites is limited. Callus culture offers a controlled method to enhance their accumulation, with medium composition, particularly precursor supplementation, playing a critical role. Phenylalanine, an aromatic amino acid, is a key precursor in the biosynthesis of phenolics and flavonoids via the shikimate pathway. This study aimed to evaluate the effect of phenylalanine on callus growth and the accumulation of total phenolic and flavonoid compounds in basil. The experiment was conducted at the Plant Tissue Culture Laboratory, Faculty of Agriculture, Universitas Padjadjaran, using Murashige and Skoog (MS) medium with phenylalanine concentrations of 0, 1.3, 1.6, and 2 g.L-1, each replicated six times. Results showed that phenylalanine treatments caused brown coloration, compact callus texture, and inhibited growth, as indicated by reduced fresh and dry weights. The 1.6 g.L-1 treatment produced the highest total phenolic content, while the 2 g.L-1 treatment yielded the highest flavonoid content. These findings suggest that phenylalanine can enhance secondary metabolite accumulation in basil callus, although it may suppress biomass growth.
New approach to measuring researcher expertise using cosine similarity algorithm and association rules Firdaus, Ali; Stiawan, Deris; Samsuryadi, Samsuryadi; Budiarto, Rahmat
Bulletin of Electrical Engineering and Informatics Vol 14, No 5: October 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i5.9506

Abstract

This study proposes a new method to assess researcher expertise using publication data. The quality of research publications is an important indicator in the ranking of universities that are undergoing diversification. Research publications have become an important indicator in the university ranking system and have a major impact on the reputation of universities as a lens for the study of expertise and prestige for human resources. Expertise is often difficult to verify objectively, as a result, many people claim to be experts or are considered experts without evidence and correct data. To ensure the expertise of researchers, it must be proven with valid data support through measurable and presentable expertise parameters. The model built uses the cosine similarity and association rule approaches. The publication variables attached to the researcher are formulated in the collaboration of the algorithm to assess the level of researcher expertise. Validation of important points of publications as parameters for measuring expertise has been identified as the main factor contributing to the measurement of researcher expertise and its impact on university reputation. The model built successfully validated researcher expertise up to 72% which is relevant to its support for university rankings up to 75%.
STATE OF THE ART ANALYSIS ON BATTERY-RELATED THREATS AND DEFENSES OF IOT DEVICES USING KITCHENHAM Azka Ghafara Putra Agung; Aditya Pradana; Rahmat Budiarto
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 1 (2024): JUTIF Volume 5, Number 1, February 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.1.1567

Abstract

The Internet of Things (IoT) keeps growing in size every year, but its growth also companied with threats to its security. This paper centers on the research article that focuses on various attacks on IoT system and devices through power drain techniques targeting IoT devices. This paper discusses various existing attack models, and security model. The main objective is to reveal the state of the art of the security issues of IoT related to attacks to the devices’ power. The literature review is performed by implementing Kitchenham method and utilizing Google Scholar and Science Direct databases. 42 publications between 2010 and 2023, fulfilling the selection criteria are selected and comprehensively reviewed. To counteract power drain-induced Denial of Service (DoS) threats, the paper evaluates existing defense mechanisms specifically tailored to mitigate these attacks. These defenses encompass adaptive power management strategies, hardware-level security enhancements, and network-level security measures. The effectiveness, practicality, and trade-offs of these defense mechanisms are examined. The combination of these papers offers comprehensive insights into battery-related security concerns in the IoT landscape, with sleep deprivation attacks, Denial of Service-induced battery drain, and Vampire attack, highlighting the importance of robust security measures in the IoT ecosystem.
Transfer Learning Implementation on Bi-LSTM with Optimizer to Improve Non-Ferrous Metal Prices Prediction Pratomo, Adji; Jatmika, Muhammad O.; Kerim, Bedine; Budiarto, Rahmat
Journal Collabits Vol 1, No 1 (2024)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v1i1.25468

Abstract

Over the past few years, the implementation of renewable energy or go-green has intensified along with the rapid development of its technology and increasing uncertainty of natural conditions that cause the prices of non-ferrous metals such as copper, aluminum, nickel, etc. used as main components for developing renewable energy devices, e.g.: battery, experience instability price in the commodity futures market. Economic players who trade metals in the futures market certainly need to be careful and must evaluate the state of the world economy. This study proposes a prediction engine as a combination of Bidirectional Long-Short Term Memory (BiLSTM), with three optimization algorithms, i.e.: Adam, Root Mean Squared Propagation (RMSProp), and Stochastic Gradient Descent (SGD), and transfer learning to make model training better. Experiments on four historical data on nickel, lead, aluminum and copper prices in the commodity futures market are conducted. The selected features are: open price, close price and volume price. Twelve models will be created to find the model that best predicts the metal prices. The top 3 models with the best performance were selected, they are: model 4 RMSProp with R2 value of 0,99029 and MSE 0,00076 as the first ranking, model 3 Adam with R2 value of 0,98877 and MSE 0,00074 as the second ranking, and model 4 Adam with value of R2 0,98522 and MSE 0,00115 as the third ranking.
Preparation of citrus planting material: Socialization in the ecotourism activist community at Pajagan Village, Cisitu Sub-District, Sumedang Regency Budiarto, Rahmat; Mubarok, Syariful; Kusumiyati, Kusumiyati; Farida, Farida; Sutari, Wawan; Soleh, Mochamad Arief; Djaya, Luciana; Rasiska, Siska
Indonesian Journal of Community Services Cel Vol. 3 No. 1 (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.v3i1.55

Abstract

The present community service was aimed to socialize techniques for preparing citrus planting materials in the ecotourism activist community at Pajagan Village, Cisitu District, Sumedang Regency. The socialization was attended by 30 people who were a combination of academics, representatives of Pajagan village-owned enterprise (Bumdes), and ecotourism activists whose daily professions are farmers in the Cipicung farmer group, Pajagan. To produce citrus planting material, grafting is a prerequisite vegetative propagation technique for obtaining standardized tangerine planting material. Grafted seedlings are more recommended than seed originated seedling, because of flower quickly, resistant to damping off, pests and diseases. Grafting is performed to connect the upper stem/scion of a tangerine cv. Siam Madu with superior fruit characteristics and the lower stem/rootstock of a sour rough lemon (Citrus jambhiri). It is hoped that this outreach activity can grow public interest and knowledge in producing planting material independently in the future.
Sensory Evaluation of the Quality of Kaffir Lime (Citrus hystrix DC.) Leaves Exposed to Different Postharvest Treatments Budiarto, Rahmat; Poerwanto, Roedhy; Santosa, Edi; Efedi, Darda; Agusta, Andria
Journal of Tropical Crop Science Vol. 8 No. 02 (2021): Journal of Tropical Crop Science
Publisher : Department of Agronomy and Horticulture, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jtcs.8.02.71-79

Abstract

This study aimed to evaluate the sensory attributes such as aroma, color and texture of kaffir lime leaves in response to various post-harvest treatment. The hedonic test approach was conducted by inviting 70 untrained panelists on seven post-harvest treatments, i.e. (D1) post-sortation fresh leaves, (D2) pre-sortation fresh leaves, (D3) cold-storage leaves, (D4) low temperature-storage leaves, (D5) brown dry leaves, (D6) fresh leaf-flour, and (D7) brown dry leaf-flour. The result showed that most of panelist agreed that aroma was the most important quality attribute that determined the level of preference in kaffir lime leaf products. Among seven tested products, the aroma, color, texture and overall impression of D1 was the most favorite one, while D4, D5, and D7 were assessed as low preference products. This work showed the importance of sortation and cold storage to maintain consumer likeliness. The criteria for sortation were green, clean, pest-disease free, scar free, high uniformity and fresh condition of leaves. Cold-storage at -20oC maintained the color and texture of kaffir lime leaves better than low temperature storage (5oC). To make leaf flour, the use of fresh green leaves was significantly better than brown dry ones. This finding might become the baseline data for the development of kaffir lime leaf product in the future.
Fruit Quality of Guava (Psidium guajava ‘Kristal’) under Different Fruit Bagging Treatments and Altitudes of Growing Location Widyastuti, R.A.D.; Budiarto, Rahmat; Hendarto, Kus; Warganegara, Hayane Adeline; Listiana, Indah; Haryanto, Yoyon; Yanfika, Helvi
Journal of Tropical Crop Science Vol. 9 No. 01 (2022): Journal of Tropical Crop Science
Publisher : Department of Agronomy and Horticulture, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jtcs.9.01.8-14

Abstract

Fruit quality is an important aspect that requires attention and more study when it comes to commercializing tropical fruits, including guava ‘Kristal’. This study aimed to evaluate the effect of bagging treatment and altitude of growing orchard on fruit quality of guava (Psidium guajava var. ‘Kristal’). This study was conducted at two local orchards managed by small-scale farmers, at Gunung Batu (1000 meters above sea level, m asl) and Brajaselebah (25 m asl), Lampung Province, Indonesia. A nested design was applied to test 5 types of bagging treatments and 2 levels of land altitude. Fruit quality was assessed by measuring both physical and chemical characteristics. Fruit size indicated by fruit weight and diameter was significantly larger in lowland compared to highland. The total soluble solids (TSS) were significantly higher in the lowland compared to the highland, while titratable acid (TA) showed an opposite result. Vitamin C of the fruits varied from140 to 146 mg per 100 g. Different types of fruit bagging and land altitudes did not affect the physical and chemical characteristics of “Kristal” guava fruits. Fruit scar intensity was higher in lowland, especially in fruit without bagging. Fruit bagging is highly recommended for farmers due to the success of this treatment to reduce fruit scar intensity, thus resulting in good fruit quality, irrespective of the growing locations.
Co-Authors Abdi Wahab Abdullakasim, Supatida Adi Hermansyah, Adi Aditya Pradana Afiyati, Afiyati 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 Bambang Jokonowo Bedine Kerim, Bedine Bin Idris, Mohd Yazid Deris Stiawan Dikdik Kurnia Dwi Budi Santoso Dwinanda, Syahvan Rifqi Edi Santosa Efendi, Darda Efy Yosrita, Efy 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 Hanifah, Nurul Afif 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 Indrianto Indrianto 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 Mohamed Shenify Mohd Yazid Idris Mohd Yazid Idris Mohd. Yazid Idris Mugianto, Dwi Rizki Muhaimin Hasanudin Muhammad Afif Muhammad Rifqi Muhammad Rizki Muhammad, Fadlan Atalla Mutiara, Pipit 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 Rufaidah, Fathi 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. Yanyan Mochamad Yani, Yanyan Mochamad Yaya Sudarya Triana Yazid Idris, Mohd. Yudho Suprapto, Bhakti Yulianto, Fiky Yusti Yusti, Yusti Zulhipni Reno Saputra Els