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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 AGRIEKONOMIKA Dharmakarya : Jurnal Aplikasi Ipteks Untuk Masyarakat Kultivasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) SAINS TANAH - Journal of Soil Science and Agroclimatology 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 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 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 Public Health Social Sciences Other

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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.
The Effects of Preharvest Mild Shading on the Quality and Production of Essential Oil from Kaffir Lime Leaves (Citrus hystrix) Budiarto, Rahmat; Poerwanto, Roedhy; Santosa, Edi; Efendi, Darda; Agusta, Andria
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.9.01.15-21

Abstract

Kaffir lime (Citrus hystrix DC) is a less popular citrus species commonly used as a food spice and a source of essential oil. Early studies report the success of preharvest mild shading to increase leaf yield, although there is still limited information on the effect of preharvest shading on the quality of essential oil produced. The aim of this current study is to evaluate the effect of preharvest mild shading factors on the yield, physical characteristics, and metabolite fingerprinting of kaffir lime leaves essential oil (KLLEO). One-year-old kaffir lime trees were sampled in two preharvest treatments, i.e., open sun and mild shading (24% light reduction) at Pasir Kuda experimental field, Bogor, Indonesia. Statistical analysis showed that there was no significant effect of preharvest treatment on yield and physical characteristics (color, specific gravity, and refractive index) of KLLEO. In contrast, there was a metabolite fingerprinting variation of KLLEO as an effect of mild shading. The relative percentage of bergamol, citronellol, caryophyllene oxide, citronellic acid, isopulegol, isopulegyl formate, limonene, linalool, and linalool oxide was increased by mild shading. On the other hand, the main metabolite (citronellal) was significantly reduced by about 10% in shading treatment, as compared to the open-sun ones.
Citrus is a Multivitamin Treasure Trove: A Review Budiarto, Rahmat; Mubarok, Syariful; Nursuhud, Nursuhud; Rahmat, Bayu Pradana Nur
Journal of Tropical Crop Science Vol. 10 No. 01 (2023): 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.10.1.57-70

Abstract

Citrus is popularly known as the source of beneficial and essential nutrients for human health, including vitamins. The current review revealed the content of multivitamins, not only vitamin C but also vitamins A, B, and E that are not widely acknowledged within Citrus. Numerous Citrus genotypes contain vitamin C, with the grapefruit (Citrus paradisi) being the richest, and citron (C. medica) the poorest. Vitamin A in the form of β-carotene, α-carotene, and β-cryptoxanthin is commonly found within Citrus, especially in several colored flesh species such as grapefruit, mandarin (C. reticulate), and orange (C. sinensis). In terms of vitamin B, orange and grapefruit are proven to contain B-complex, including thiamine (B1), riboflavin (B2), niacin (B3), pantothenic acid (B5), pyridoxine (B6), biotin (B7), inositol (B8) and folate (B9). Vitamin E in the form of α-tocopherol was detected in leaf kaffir lime (C. hystrix) and orange (C. sinensis), lemon (C. limon), mandarin (C. reticulate), and tangerine (C. nobilis) fruit. This review summarizes the nutritional content of Citrus; Citrus contains not only vitamin C but also other vitamins beneficial to human health, therefore Citrus consumption is highly recommended.
Yield and Physicochemical Characteristics of Kaffir Lime Leaf Essential Oils Subjected to Different Post-Harvest Treatment Budiarto, Rahmat; Poerwanto, Roedhy; Santosa, Edi; Efendi, Darda; Agusta, Andria; Rofiq, Muhamad Abdul
Journal of Tropical Crop Science Vol. 11 No. 02 (2024): 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.11.02.97-104

Abstract

The importance of kaffir lime leaf as essential oils (EOs) raw material is starting to get attention because of its commercial value; however, there is no quality reference for kaffir lime leaf EOs, especially in response to various post-harvest handlings. This study aimed to describe the physicochemical characteristics and yield of kaffir lime EOs subjected to different post-harvest. Bogor originated-kaffir lime leaf was prepared to be subjected to several post-harvest treatments, i.e., control/fresh green leaves (P1); milling to produce green leaf flour (P2); drying to produce dry brown leaf (P3), and milling and drying to produce brown leaf flour (P4). The result showed that post-harvest treatment generally decreases an oil yield and increases darkness color, specific gravity and refractive index of tested EOs. Additionally, post-harvest treatment also changes metabolite profile revealed by GCMS analysis. The relative percentage of caryophyllene and citronellol tends to increase, while the linalool and citronellal levels decrease due to tested post-harvest treatment. It was implied that for the benefit of the fragrance industry with a high citronellal requirement, EOs should be made from fresh green leaves and the leaves should be avoided from drying and powdering treatment.
Evaluasi Pengujian Keamanan Arsitektur Zero Trust Network pada Jaringan Smart Home untuk Mengatasi Serangan Data Sniffing Mugianto, Dwi Rizki; Budiarto, Rahmat
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v9i11.16898

Abstract

Keamanan jaringan Smart Home menjadi perhatian utama dalam menghadapi ancaman serangan data sniffing yang semakin meningkat. Penelitian ini bertujuan untuk mengevaluasi pengujian keamanan arsitektur Zero Trust Network pada jaringan Smart Home guna mengatasi risiko serangan data sniffing. Pendekatan Zero Trust Network diterapkan untuk meminimalkan potensi kerentanan sistem, dengan mendasarkan kepercayaan pada pengguna dan perangkat secara individual, bahkan dalam lingkungan internal. Metode penelitian melibatkan simulasi serangan data sniffing terhadap jaringan Smart Home yang diimplementasikan dengan arsitektur Zero Trust Network. Hasil penelitian ini diharapkan dapat memberikan wawasan mendalam tentang keamanan jaringan Smart Home dengan pendekatan Zero Trust Network, termasuk identifikasi potensi celah keamanan yang perlu diperbaiki. Penelitian ini memberikan kontribusi dalam pengembangan strategi keamanan yang lebih efektif untuk melindungi data sensitif di lingkungan Smart Home, menjadikannya lebih tahan terhadap serangan data sniffing, dan memberikan landasan untuk pengembangan lebih lanjut dalam mengamankan infrastruktur IoT di masa depan.
Co-Authors Abdullakasim, Supatida Adi Hermansyah, Adi Aditya Pradana Ahmad Heryanto, Ahmad Ahmed Alshaflut Al Aufa, Elfa Muhammad Ihsan Ali Firdaus ANDRIA AGUSTA Anindita, Sastrika 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 Eddy Renaldi Edi Santosa Efendi, Darda Emma Trinurani Sofyan Envry Artanti Duidahayu Putri Erik Setiawan Ermatita - Erni Suminar Eso Solihin Ezura, Hiroshi Fadlan Atalla Muhammad Fajri, Hauzan Ariq Musyaffa Fakhrurroja, Hanif Farida Farida Farida Fauziah, Rossita Fiky Yulianto Wicaksono Firnando, Rici Firstina Iswari Ghorbanpour, Mansour Giyarto, Gunes Hadipurnawan Satria Haryanto, Yoyon Hauzan Ariq Musyaffa Fajri Hayane Adeline Warganegara, Hayane Adeline Helvi Yanfika Idris, Mohd Yazid Bin Iman Saladin B. Azhar Indah Listiana Indra Permana, Indra Iswari, Firstina Jajang Sauman Hamdani Jatmika, Muhammad O. Juli Rejito Kemahyanto Exaudi Khuong, Nguyen Quoc 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 Muhamad Kadapi Muhammad Afif Muhammad Rizki Muhammad, Fadlan Atalla Murgayanti Murgayanti Mutiara, Pipit Nisa, Kahirun Noor Istifadah Nursuhud Nursuhud Nuzulastri, Sari Osman, Mohd Azam Pakpahan, Hansel Arie Pertiwi, Hanna Pratita, Dian Galuh Pratomo, Adji 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 Rohman, Saefur Rossita Fauziah Rufaidah, Fathi Ruminta Ruminta Samsuryadi Samsuryadi Sari, Stefina Liana Sarmayanta Sembiring Semendawai, Jaka Naufal Setiawan, Deris Sidabutar, Alex Onesimus SIska Rasiska, SIska Sistyananda, Firstian Naufal 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 Yaya Sudarya Triana Yazid Idris, Mohd. Yudho Suprapto, Bhakti Yulianto, Fiky Yusti Yusti, Yusti Zulhipni Reno Saputra Els