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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika RESEARCH AND DEVELOPMENT JOURNAL OF EDUCATION (RDJE) Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK) Jurnal Pemberdayaan Kepada Masyarakat
Irwandi, Hafiz
Universitas Negeri Medan
Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Engineering Mathematics Other

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K-Means Performance Optimization Using Rank Order Centroid (ROC) And Braycurtis Distance Irwandi, Hafiz; Sitompul, Opim Salim; Sutarman, Sutarman
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 2 (2022): Articles Research Volume 6 Issue 2, April 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i2.11371

Abstract

K-Means is a clustering algorithm that groups data based on similarities between data. Some of the problems that arise from this algorithm are when determining the center point of the cluster randomly. This will certainly affect the final result of a clustering process. To anticipate the poor accuracy value, a process is needed to determine the initial centroid in the initialization process. The second problem is when calculating the Euclidean distance on the distance between data. However, this method only gives the same impact on each data attribute. From some of these problems, this study proposes the Rank Order Centroid (ROC) method for initializing the cluster center point and using the Braycurtis distance method to calculate the distance between data. With the experiment K=2 to K=10, the results obtained in this study are the proposed method obtains an iteration reduction of 6.6% on the Student Performance Exams dataset and 19.3% on the Body Fat Prediction dataset. However, there was an increase in iterations on the Heart Failure dataset by 24.2%. In testing the cluster results using the Silhouette Coefficient, this method shows an increase in the evaluation value of 5.9% in the Student Performance Exams dataset. However, the evaluation value decreased by 8.3% in the Body Fat Prediction dataset and 3.3% in the Heart Failure dataset.
TREN PEMETAAN RISET ENTREPRENEURSHIP EDUCATION DAN EDUCATION COMPUTING DI UNIVERSITAS: SEBUAH ANALISIS BIBLIOMETRIK Triansyah, Fadli Agus; Lubis, Nela Permata Sari; Ritonga, Marito; Thania, Andi Cici; Irwandi, Hafiz; Nofriansyah, Nofriansyah
Research and Development Journal of Education Vol 11, No 2 (2025)
Publisher : Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/rdje.v11i2.21648

Abstract

Penelitian ini bertujuan memetakan tren penelitian Entrepreneurship Education dan education computing di universPenelitian ini bertujuan memetakan tren riset Entrepreneurship Education dan education computing di universitas melalui analisis bibliometrik. Data diperoleh dari basis data Scopus dengan kata kunci “Entrepreneurship Education” AND “Education computing” AND University pada 2 September 2025. Dari 220 dokumen yang ditemukan, sebanyak 219 dokumen berbahasa Inggris dianalisis lebih lanjut menggunakan Publish or Perish, Microsoft Excel, dan VOSviewer. Hasil penelitian menunjukkan tren publikasi meningkat signifikan sejak 2020, seiring percepatan transformasi digital di masa pandemi. Sumber publikasi didominasi prosiding internasional dan jurnal multidisipliner, dengan kontribusi terbesar berasal dari Tiongkok (135 dokumen), disusul Amerika Serikat (19 dokumen). Artikel paling berpengaruh membahas kompetensi digital pendidik, model pembelajaran berbasis pengalaman, serious games, dan faktor institusional kewirausahaan. Visualisasi kata kunci mengungkap empat klaster utama: (1) niat dan efikasi kewirausahaan, (2) pembelajaran teknik dan pengalaman, (3) kecerdasan buatan dan big data, serta (4) evaluasi komputasional. Overlay visualization menunjukkan kebaruan riset pada tema keberlanjutan, model bisnis, dan kemampuan inovasi. Penelitian ini berkontribusi memperkaya literatur interdisipliner dan memberi rujukan strategis bagi universitas dalam merancang kurikulum adaptif berbasis teknologi untuk memperkuat peran sebagai penggerak inovasi dan kewirausahaan digital.
Security Evaluation of Indonesian LLMs for Digital Business Using STAR Prompt Injection Agnes Irene Silitonga; Irwandi, Hafiz; Silitonga, Agnes Irene; Rudy Chandra; Simamora, Windi Saputri
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 1 (2026): Article Research January 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i1.15662

Abstract

The adoption of Large Language Models (LLMs) in digital business systems in Indonesia is rapidly increasing; however, systematic security evaluation against Indonesian language prompt injection remains limited. This study introduces the Indonesian Prompt Injection Dataset, consisting of 50 attack scenarios constructed using the STAR framework, which combines structured instruction variations with sociotechnical context to expose potential model vulnerabilities. The dataset was used to evaluate three commercial LLM platforms ChatGPT using a GPT-4 class lightweight variant (OpenAI), Gemini 2.5 Flash (Google), and Claude Sonnet 4.5 (Anthropic) through controlled experiments targeting instruction manipulation in Indonesian. The results reveal distinct robustness profiles across models. Gemini 2.5 Flash exhibits moderate observed resilience, with 76% of scenarios classified as medium risk and 12% as high risk. ChatGPT demonstrates higher observed robustness under the tested scenarios, with 88% of cases classified as low risk and no high-risk outcomes. Claude Sonnet 4.5 shows intermediate observed resilience, with 72% low-risk and 28% medium-risk scenarios. High-risk cases primarily involve direct role override, urgency- or emotion-based prompts, and anti-censorship instructions, while structural ambiguities and multi-intent manipulations tend to result in medium risk, and mildly persuasive prompts fall under low risk. These findings suggest that while contemporary LLM defense mechanisms are effective against explicit attacks, contextual and emotionally framed manipulations continue to pose residual security challenges. This study contributes the first Indonesian-language prompt injection dataset and demonstrates the STAR framework as a practical and standardized approach for evaluating LLM security in digital business applications.
Analisis Sentimen Dalam Pemasaran Digital:Kajian Literatur Agnes Irene Silitonga; Agnes Putri Farida Sitorus; Hafiz Irwandi; Ferry Indra Sakti H. Sinaga
Semnas Ristek (Seminar Nasional Riset dan Inovasi Teknologi) Vol 10, No 1 (2026): SEMNAS RISTEK 2026
Publisher : Universitas Indraprasta PGRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30998/semnasristek.v10i1.8879

Abstract

Pemberdayaan UMKM Berbasis Inovasi Digital dalam Meningkatkan Kesejahteraan Masyarakat Kota Medan Muammar Rinaldi; Fahmi Ashari S. Sihaloho; Hafiz Irwandi; Bay Haqki
Battuta-Jurnal Pemberdayaan Masyarakat Vol 3 No 2 (2026): Edisi Mei
Publisher : LPPM Universitas Battuta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Usaha Mikro, Kecil, dan Menengah (UMKM) memainkan peranan penting dalam perekonomian lokal, khususnya di Kota Medan dan kawasan Universitas Negeri Medan (Unimed). Kegiatan ini bertujuan untuk menganalisis kontribusi UMKM terhadap kesejahteraan masyarakat, serta tantangan yang dihadapi dalam pengembangannya. Dengan pendekatan kualitatif berbasis studi kasus, data dikumpulkan melalui wawancara mendalam, observasi partisipatif, dan dokumentasi. Hasil kegiatan menunjukkan bahwa UMKM mampu menciptakan lapangan kerja, meningkatkan pendapatan rumah tangga, serta mengurangi tingkat pengangguran. Di kawasan Unimed, UMKM berkontribusi besar dalam memenuhi kebutuhan mahasiswa dan masyarakat sekitar, menciptakan peluang usaha strategis, dan mendukung pertumbuhan ekonomi wilayah. Namun, sektor ini menghadapi tantangan berupa keterbatasan modal, persaingan ketat, dan rendahnya literasi digital. Solusi strategis seperti diversifikasi produk, pelatihan kewirausahaan, dan pemanfaatan teknologi digital diperlukan untuk mendukung pengembangan UMKM. Dengan dukungan kebijakan yang tepat, UMKM memiliki potensi besar untuk mendorong pertumbuhan ekonomi dan kesejahteraan masyarakat secara berkelanjutan.
Co-Authors Agnes Irene Silitonga Agnes Putri Farida Sitorus Bay Haqki Fadli agus triansyah Fahmi Ashari S. Sihaloho Ferry Indra Sakti H. Sinaga Lubis, Nela Permata Sari Muammar Rinaldi Nofriansyah, Nofriansyah Opim Salim Sitompul Ritonga, Marito Rudy Chandra Simamora, Windi Saputri Sutarman Sutarman Thania, Andi Cici