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All Journal Jurnal Informatika TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Informatika Jurnal Informatika Proceeding International Conference on Information Technology and Business Dharmakarya : Jurnal Aplikasi Ipteks Untuk Masyarakat Scientific Journal of Informatics International conference on Information Technology and Business (ICITB) jurnal Teknologi Informasi Magister Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal CoreIT Indonesian Journal of Artificial Intelligence and Data Mining Jurnal SOLMA Jurnal TAM (Technology Acceptance Model) Prosiding Seminar Nasional Darmajaya Building of Informatics, Technology and Science Jurnal Aisyah : Jurnal Ilmu Kesehatan Jurnal Teknologi Informatika dan Komputer Journal of Computer Networks, Architecture and High Performance Computing Bioscientist : Jurnal Ilmiah Biologi Jurnal Pengabdian kepada Masyarakat JUSTIN (Jurnal Sistem dan Teknologi Informasi) NEAR: Jurnal Pengabdian kepada Masyarakat SIENNA Jurnal Ilmu Siber dan Teknologi Digital Jurnal TAM (Technology Acceptance Model)
Y. Suhendro
Darmajaya Informatics And Business Institute
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Library & Information Science Medicine & Pharmacology Nursing Public Health Social Sciences Transportation Veterinary Other

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Comparison of K-Nearest Neighbor, Naive Bayes, Random Forest Algorithms for Obesity Prediction Andani, Mia; Triloka, Joko; Irianto, Suhendro Yusuf; Nugroho, Handoyo Widi
Sinkron : jurnal dan penelitian teknik informatika Vol. 9 No. 1 (2025): Research Article, January 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i1.14478

Abstract

Obesity is a global health problem that continues to increase and has serious impacts on physical and mental health. This research aims to predict a person's obesity status based on certain attributes using the K-Nearest Neighbor (KNN), Naive Bayes, and Random Forest algorithms. The dataset used was taken from the Kaggle platform with 2,111 data and 16 attributes, including gender, age, weight, height, frequency of consumption of high-calorie foods, physical activity, and water and vegetable consumption patterns. The research process follows the data mining stages, including business understanding, data understanding, data preparation, modeling, evaluation, and documentation. Experiments were carried out using RapidMiner with a cross-validation technique using 10 folds to measure overall model performance. The research results show that the Random Forest algorithm performs best in predicting obesity status compared to K-NN and Naive Bayes. Model evaluation using accuracy, precision, recall, and F1-score metrics shows significant results in distinguishing obesity categories. It is hoped that this research can contribute to the development of a machine learning-based health prediction system that can be used to support decision-making in the prevention and management of obesity.
Evaluation of Information Security at the Radin Inten II Lampung Meteorological Station Using the KAMI Index Ardiansyah, Ardiansyah; Irianto, Suhendro Yusuf; Hasibuan, M. Said
Bioscientist : Jurnal Ilmiah Biologi Vol. 12 No. 2 (2024): December
Publisher : Department of Biology Education, FSTT, Mandalika University of Education, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/bioscientist.v12i2.12498

Abstract

Information security is a way to protect information assets from various potential threats. BMKG is a Non-Departmental Government Institution (LPND) in Indonesia whose main duties involve carrying out government duties in the fields of meteorology, climatology and geophysics. In connection with delivering information services appropriately and precisely to stakeholders, the Radin Inten II Lampung Meteorological Station needs to carry out an independent assessment in terms of security to evaluate the information system in each work unit, with the aim of understanding the level of readiness and maturity of information security. This research aims to measure the level of information security maturity at the Radin Inten II Lampung Meteorological Station. The analysis method used in this research is using the KAMI Index version 5.0 based on the ISO/IEC 27001:2022 standard. The research results indicate that the implementation of the ISO 27001:2022 standard in the information system of the Radin Inten II Lampung Meteorological Station is considered good. The total score obtained reached 591 based on analysis and questionnaires using the KAMI Index. With this score, the Radin Inten II Lampung Meteorological Station information system is categorized at level III, which indicates that some improvements are still needed.
Optimalisasi Media Sosial Sebagai Sarana Promosi Usaha Mikro Tanaman Aglaonema Sanusi, Anuar; Wibasuri, Anggalia; Irianto, Suhendro Yusuf; Herlina, Herlina; Sumbogo, Fransiskus Dibyo
Jurnal SOLMA Vol. 14 No. 3 (2025)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v14i3.20997

Abstract

Pendahuluan: Perkembangan teknologi informasi telah mengubah media sosial menjadi sarana promosi efektif bagi UMKM dan menggantikan metode konvensional. Bagi usaha mikro tanaman Aglaonema, pemanfaatan platform seperti Instagram, Facebook, TikTok, dan WhatsApp Business menjadi strategi penting untuk mengatasi keterbatasan sumber daya dan pengetahuan digital. Studi ini bertujuan untuk mengidentifikasi peran media sosial, menganalisis strategi optimasi, serta mengungkap kendala yang dihadapi. Metode: Observasi, pembuatan dan optimalisasi konten digital, interaksi dan layanan konsumen, serta evaluasi. Hasil: Optimalisasi media sosial TikTok dan platform Shopee berhasil meningkatkan visibilitas, interaksi, dan penjualan produk Aglaonema. Konten kreatif di TikTok menarik lebih banyak konsumen, sementara pengelolaan Shopee yang profesional memperluas jangkauan pasar. Kesimpulan: Media sosial memiliki peran strategis dan multifungsi melalui promosi media sosial bagi usaha mikro tanaman Aglaonema.
Sentiment Analysis of Skincare Products Using Lexicon and Multinomial Naive Bayes on The Sociolla Website Rahmansyah, Ferdian; Sriyanto, Sriyanto; Lestari, Sri; Irianto, Suhendro Yusuf
Journal of Computer Networks, Architecture and High Performance Computing Vol. 7 No. 4 (2025): Articles Research October 2025
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v7i4.7048

Abstract

Global warming has triggered extreme weather that negatively affects skin health, including damage, premature aging, and increased risk of skin cancer, prompting the use of skincare products. E-commerce platforms like Sociolla simplify skincare purchases, but the abundance of choices and varying skin reactions make product selection challenging. This study aims to assist consumers in making smarter purchase decisions by analyzing user reviews using sentiment analysis with a lexicon-based approach and the Multinomial Naive Bayes algorithm to classify reviews as positive or negative. The process includes data collection, text preprocessing, model development, and performance evaluation. The results show that this method achieved an accuracy of 80,64%, demonstrating its effectiveness in helping consumers filter reviews and select appropriate skincare products.
Pelatihan Manajemen Usaha Bagi Pokdarwis Kawasan Strategis Teluk Lampung Kabupaten Pesawaran Lukmanul Hakim; Suhendro Yusuf Irianto; Nursiyanto Nursiyanto; Sushanty Saleh
NEAR: Jurnal Pengabdian kepada Masyarakat Vol. 3 No. 2 (2024): NEAR
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/nr.v3i2.1322

Abstract

Wisata bahari di kawasan strategis Teluk Lampung kabupaten Pesawaran memiliki potensi yang besar untuk wisata provinsi Lampung. Manajemen usaha merupakan salah satu upaya mengatur segala hal dalam menjalankan usaha sehingga dapat mencapai tujuan yang diharapkan. Manajemen usaha yang dimaksudkan antaranya yaitu manajemen sumber daya manusia, manajemen pemasaran, dan manajemen keuangan. Pokdarwis merupakan kelompok masyarakat sadar wisata di kabupaten Pesawaran. Kegiatan pengabdian ini bertujuan untuk memberikan pelatihan manajemen usaha sebagai upaya untuk mengedukasi pengelolaan usaha bagi Pokdarwis Kawasan strategis pesisir Teluk Lampung. Hasil kegiatan ini adalah Pokdarwis memiliki kemampuan dalam manajemen usaha yang baik untuk pengelolaan jangka panjang objek wisata Bahari yang dikelola dan peningkatan usaha Pokdarwis.
Benchmark and comparison between hyperledger and MySQL Onno W. Purbo; Sriyanto Sriyanto; Suhendro Suhendro; Rz Abd. Aziz; Riko Herwanto
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 2: April 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i2.13743

Abstract

In this paper, we report the benchmarking results of Hyperledger,  a Distributed Ledger, which is the derivation Blockchain Technology.  Method to evaluate Hyperledger in a limited infrastructure is developed. Themeasured infrastructure consists of 8 nodes with a load of up to 20000 transactions/second. Hyperledger consistently runs all evaluation, namely, for 20,000 transactions, the run time 74.30s, latency 73.40ms latency, and 257 tps. The benchmarking of Hyperledger shows better than a database system in a high workload scenario. We found that the maximum size data volume in one transaction on the Hyperledger network is around ten (10) times of MySQL. Also, the time spent on processing a single transaction in the blockchain network is 80-200 times faster than MySQL. This initial analysis can provide an overview for practitioners in making decisions about the adoption of blockchain technology in their IT systems.
Design and Implementation of a Mobile-Based Export-Import Digital Document Security System Using the AES-256 Encryption Algorithm to Ensure Data Confidentiality and Integrity Bayu Adi Prasetyo; Rio Kurniawan; Suhendro Yusuf Irianto; Amnah
Jurnal Teknologi Informatika dan Komputer Vol. 12 No. 1 (2026): Jurnal Teknologi Informatika dan Komputer
Publisher : Universitas Mohammad Husni Thamrin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37012/jtik.v12i1.3420

Abstract

The increasing use of digital documents in export-import activities, especially in government agencies such as the Directorate General of Customs and Excise, has the potential to pose a threat of leaks if not supported by an adequate security system. The design of this security system aims to design and develop a web-based digital export-import document security system by implementing the Advanced Encryption Standard (AES) 256-bit encryption algorithm. The system development was carried out using the Waterfall method by utilizing PHP, HTML, CSS, JavaScript, and MySQL database technology. This system implements encryption and decryption mechanisms on export-import documents in PDF and DOCX formats. Test results indicate that encrypted documents cannot be accessed without a valid decryption process, and data integrity is maintained referring to the AES-256 validation results. This system is able to increase the level of digital document security and minimize the risk of data leaks in a web-based system environment. This research requires the addition of a multi-layer authentication mechanism, the implementation of a more comprehensive encryption key management system, and the development of applications for mobile platforms. The rapid development of information technology has changed the way individuals, organizations, and government institutions manage and distribute information. One of the main impacts is the increasing use of digital import-export documents as the primary medium for storing and exchanging critical data. These documents generally contain sensitive information, requiring security mechanisms capable of ensuring data confidentiality, integrity, and authenticity during storage and distribution.  
WEB-BASED RESEARCH ARTICLE CLASSIFICATION USING THE RANDOM FOREST ALGORITHM Fiqqi Ahludzikri; Riko Herwanto; Abdul Aziz RZ; Isnandar Agus; Suhendro Yusuf Irianto
Jurnal Ilmu Siber dan Teknologi Digital Vol 4 No 1 (2025): November
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jisted.v4i1.5547

Abstract

Purpose: This study aims to develop a web-based system that classifies research articles using the Random Forest algorithm to address mismatches between article content and journal scope. Methodology/approach: The research employed the SDLC Waterfall model, with data sourced from 560 articles published by Goodwood Publishing (2019–2024) across four categories. Text preprocessing included case folding, stopword removal, stemming, and tokenization, with TF-IDF applied for feature extraction. Random Forest was trained with 80% training data and 20% testing data. Results/findings: The model achieved 91% accuracy, with high precision and recall across all categories. The system was successfully implemented as a web-based application, providing instant classification and journal recommendations. Limitations: The dataset was limited to one publisher and only Random Forest was applied, which may restrict the generalizability of findings. Contribution: This study contributes to the application of machine learning in scholarly publishing, offering a practical solution for editors to streamline article selection and improve efficiency.
Co-Authors - Winarsih -, Meiliza -, Nisar A.A. Ketut Agung Cahyawan W Abdul Aziz RZ Adimas, Adimas Agung Pradana Agus Rahardi Agus Rahardi, Agus Agus, Isnandar Ahmad Rofi’i Ali, Rionaldi amnah amnah Andani, Mia anggalia wibasuri Anuar Sanusi Apri Ramadhan, Apri ARDIANSYAH ARDIANSYAH Arman Suryadi Karim, Arman Suryadi Armansyah Armansyah Aziz, RZ. Abdul Bayu Adi Prasetyo Dian Sari Dona Yuliawati Dwi Handoko Effendi, Mukhammad Khoirul Eko Hendrawan Endang Astitin Enrico Findley Farduwin, Alhada Fauzi, Chairani Fiqqi Ahludzikri Fitria - Fitria - Fitria Fitria handoyo widi nugroho Hendra Kurniawan Herlina Herlina Herwanto, Riko Ida Ayu Puspita Sari Indera Irianto . Irwanto, Ika Krisdiyanto, Wawan M Said Hasibuan Mega Fatimah Rosana Muhammad Galih Ramaputra Ningsiah Nisar - Nursiyanto Ochi Marshella Febriani Onno W. Purbo Perdana, Andreas Rahmansyah, Ferdian Ramadhan, M Fitrah Rian Yunandar Ribut Yulianto Rio Kurniawan Roffi, Ahmad Sken Jian Tao Sri Karnila Sri Karnila Sri Karnila Sri Lestari Sriyanto, Sriyanto Sumbogo, Fransiskus Dibyo Sushanty Saleh Triloka, Joko Vitriani, Yelfi Wahyu Nugroho Wenni Puspa Sari Yudiansyah, Lepi Astra