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All Journal IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Sainteks Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Teknologi Informasi dan Ilmu Komputer InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) InComTech: Jurnal Telekomunikasi dan Komputer JITK (Jurnal Ilmu Pengetahuan dan Komputer) JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Teknologi Sistem Informasi dan Aplikasi Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) EDUMATIC: Jurnal Pendidikan Informatika Journal of Information Systems and Informatics Zonasi: Jurnal Sistem Informasi JIKA (Jurnal Informatika) Jurnal Sistem Komputer dan Informatika (JSON) TIN: TERAPAN INFORMATIKA NUSANTARA Jurnal Pendidikan dan Teknologi Indonesia Journal Automation Computer Information System (JACIS) INTERNATIONAL JOURNAL OF EDUCATION, INFORMATION TECHNOLOGY, AND OTHERS Amare J-Icon : Jurnal Komputer dan Informatika Journal of Computing Theories and Applications Teknomatika: Jurnal Informatika dan Komputer INOVTEK Polbeng - Seri Informatika
Erik Iman Heri Ujianto
Universitas Teknologi Yogyakarta
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BATINARA: Hybrid LLM-BERT-ML Chatbot for Safe Mental Health Support Walangitan, Jeanette; Ujianto, Erik Iman Heri
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 20, No 2 (2026): April
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.112432

Abstract

This study addresses the pressing need for safe and personalized digital mental health support by mitigating the inherent risk of Large Language Models (LLMs) generating unsafe or unethical responses during high-risk psychological crises. We developed BATINARA, a chatbot system based on a Neuro-Symbolic Hybrid framework. This architecture integrates a Predictive Module (IndoBERT for crisis detection, Random Forest for multi-label emotion classification) with a Generative LLM Module (OpenAI API). Ethical control is enforced by the Dynamic Context Integration Logic (D-CIL), which utilizes clinical rules to uphold the Principle of Nonmaleficence. Key results demonstrate the system’s ability to: (1) Enforce safety protocols through the automatic override of LLM responses when suicidal ideation is detected (Recall IndoBERT 0.9977). (2) Achieve high contextual accuracy in multi-label emotion detection (F1 = 0.94), which supports dynamic personalization via Dynamic Prompt Modulation based on specific therapeutic styles and user PHQ-9/GAD-7 clinical scores. (3) Enhance interaction transparency through the real-time visualization of detected emotions. This Neuro-Symbolic hybrid approach proves effective in mitigating clinical risks associated with generative AI, resulting in adaptive and ethically sound therapeutic interactions.
Deteksi Dini Disleksia Berbasis Analisis Tulisan Tangan Menggunakan Transfer Learning MobileNetV2 Difa Nur Sahara; Erik Iman Heri Ujianto
InComTech : Jurnal Telekomunikasi dan Komputer Vol. 16 No. 1 (2026)
Publisher : Department of Electrical Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/incomtech.v16i1.36696

Abstract

Keterlambatan dalam mengidentifikasi disleksia dapat secara signifikan memengaruhi perkembangan akademik serta emosional anak, sebuah tantangan yang di Indonesia masih sering dihadapi akibat ketergantungan pada metode observasi manual. Untuk mengatasi masalah tersebut, sebuah prototipe aplikasi berbasis web dirancang sebagai alat bantu untuk mengidentifikasi potensi disleksia secara dini melalui analisis pola tulisan tangan. Sistem ini diimplementasikan menggunakan algoritma Convolutional Neural Network (CNN) dengan pendekatan transfer learning pada arsitektur MobileNetV2. Model dilatih menggunakan dataset primer yang terdiri dari 75 citra tulisan tangan siswa dari SD Negeri Klegenwonosari, Kabupaten Kebumen yang diperkaya variasinya melalui teknik augmentasi data. Evaluasi model melalui K-Fold Cross-Validation menunjukkan capaian akurasi rata-rata yang menjanjikan sebesar 0,7200±0,0980. Penambahan volume data terbukti secara positif memengaruhi stabilitas kinerja model serta kemampuannya untuk mulai mengenali kelas minoritas. Prototipe aplikasi ini diharapkan dapat berfungsi sebagai alat skrining awal yang praktis bagi para pendidik dan orang tua.
Mapping Biometric Security Paradox: A Behavioral Study of Perception and Awareness Among Indonesian Digital Natives Erik Iman Heri Ujianto; Rianto Rianto
Journal of Computing Theories and Applications Vol. 3 No. 4 (2026): JCTA 3(4) 2026
Publisher : Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/jcta.15935

Abstract

 The rapid adoption of smartphones among Indonesian digital natives has increased reliance on biometric authentication systems. However, empirical evidence regarding the relationship between user satisfaction and security risk awareness remains limited, particularly in developing-country contexts. This study investigates the behavioral dynamics of biometric security perception among 266 respondents, consisting of 221 high school students and 45 university students in Indonesia. A Python-based computational pipeline incorporating Akaike Information Criterion (AIC) validation and 1,000-iteration stochastic bootstrapping was employed to evaluate nonlinear behavioral patterns using Polynomial Regression and Ordinary Least Squares (OLS) multivariate analysis. The results confirm the existence of a nonlinear Security Paradox. While the overall population demonstrates a positive quadratic trajectory, the university student group exhibits a concave-down parabolic relationship (a=−0.0460), indicating a decline in perceived utility beyond a specific security threshold. The identified behavioral breaking point occurs at X≈5.45 (95% CI: 2.99–20.77), suggesting that excessive security hardening may reduce perceived usability and increase cognitive friction. Furthermore, the ablation analysis reveals that security risk awareness (p<0.001) is the strongest predictor of user satisfaction, exceeding the influence of daily usage intensity. Segment-level analysis further demonstrates behavioral divergence between respondent groups. High school students exhibit relatively uniform satisfaction toward biometric systems, whereas university students display greater variability and more critical perceptions regarding authentication friction. These findings indicate that highly rigid security configurations may become less effective for users with higher digital literacy and risk awareness. This study contributes a computationally validated behavioral framework for understanding security–utility trade-offs and provides a conceptual foundation for developing adaptive, user-centric, and friction-aware biometric authentication systems.
Klasifikasi Performa Video Free Fire di YouTube Menggunakan Pelebelan Otomatis Berbasis K-Means, Random Forest, dan SHAP Wayan Praka; Erik Iman Heri Ujianto
Journal Automation Computer Information System Vol. 6 No. 2 (2026): November (In Progress Issue)
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/jacis.v6i2.203

Abstract

Perkembangan platform YouTube mendorong kreator konten Free Fire untuk memahami faktor-faktor yang memengaruhi performa video untuk meningkatkan strategi publikasi yang lebih efektif. Namun, penelitian yang mengintegrasikan pelebelan otomatis, klasifikasi, dan interpretabilitas model untuk mengungkap faktor penentu masih terbatas. Penelitian ini bertujuan mengembangkan model klasifikasi performa video menggunakan pelabelan otomatis berbasis K-Means, algoritma Random Forest, dan Explainable Artificial Intelligence berbasis SHAP. Dataset yang digunakan terdiri atas 4.000 video Free Fire dari kanal YouTube Indonesia. Proses pelabelan menggunakan algoritma K-Means berdasarkan evaluasi Elbow Method, Silhouette Score, Calinski-Harabasz Index, dan Davies-Bouldin Index. Hasil evaluasi menunjukkan bahwa K=2 memberikan kualitas klaster terbaik dengan nilai Silhouette Score tertinggi, dipilih untuk membentuk dua label, yaitu High Performance sebesar 74,23% dan Low Performance sebesar 25,77%. Selanjutnya, model Random Forest yang dioptimalkan dengan GridSearchCV serta pembagian 80% data pelatihan dan 20% data pengujian. Hasil dari pengujian Random Forest mencapai akurasi sebesar 92,37% dan akurasi 10-Fold Cross Validation rata-rata sebesar 91,59%. Analisis SHAP menunjukkan bahwa Subscriber_Channel merupakan faktor yang paling berpengaruh, diikuti oleh Duration_Sec, Title_Length, Video_Age_Days, Upload_Hour_WIB dan Upload_day_WIB. Kebaruan penelitian ini terletak pada integrasi pelabelan otomatis berbasis K-Means, optimasi Random Forest menggunakan GridSearchCV, serta interpretasi model menggunakan SHAP dalam analisis performa video YouTube. Penelitian ini masih terbatas pada video Free Fire dari kanal YouTube Indonesia sehingga generalisasi terhadap kategori konten maupun wilayah lain memerlukan penelitian lanjutan
Uncovering Security Vulnerabilities in Electronic Medical Record Systems: A Comprehensive Review of Threats and Recommendations for Enhancement Dian Wijayanti; Erik Iman Heri Ujianto; Rianto Rianto
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 10 No. 1 (2024): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v10i1.28192

Abstract

Cybersecurity is a critical concern for healthcare organizations in the digital era, as patient data privacy faces significant risks from numerous vulnerabilities. Given the escalating cyberattacks in healthcare, understanding EMR system vulnerabilities has become imperative. This study aimed to find the main weaknesses in Electronic Health Record (EHR) systems and suggest proven methods to improve security and keep patient information private. Utilizing a cross-sectional analysis, we assessed the effectiveness of current security protocols against identified threats. We systematically reviewed 25 recent, high-quality articles (from 2020 to 2023) on EMR vulnerabilities, selected based on their relevance and the efficacy of their proposed solutions. Our analysis revealed that system architecture flaws and credential misuse represented the most significant threats, with hacking incidents most frequently targeting these weaknesses. The analysis identified six key threat categories to EMR security: compromised access, system architecture flaws, data sharing challenges, hacking, credential misuse, and non-compliance with regulations. This framework introduced a multi-layered defense strategy, unique in incorporating both technical and behavioral security measures. The study provided a novel framework combining technological and management safeguards, offering a fresh perspective on modern EMR vulnerabilities. The detailed threat categorization gave healthcare organizations a strategic basis for improved security planning and resource allocation. The actionable insights from this study could greatly enhance EMR security protocols in healthcare settings, potentially reducing data breaches and improving patient trust. Further research was warranted to test the effectiveness of the proposed framework across various healthcare environments.
MENUJU TATA KELOLA KEPEGAWAIAN YANG EFEKTIF: ANALISIS DAN PERANCANGAN SISTEM DI KECAMATAN GIRINTONTRO, WONOGIRI Sujoko Sujoko; Surya Darmawan; Aditya Dimas Dewanto; Agus Sujarwadi; Erik Iman Heri Ujianto; Chaidar Panji Mahardhika
Amare Vol. 4 No. 2 (2025): Juli - Desember 2025
Publisher : Sekolah Tinggi Agama Katolik Negeri Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52075/sh0bkw35

Abstract

Pengelolaan kepegawaian di Kecamatan Giritontro masih dilakukan secara manual, yang menimbulkan berbagai kendala seperti keterlambatan proses administrasi, kesulitan pencarian data, serta tingginya risiko inkonsistensi dan ketidakakuratan data. Untuk mengatasi permasalahan tersebut, kegiatan pengabdian kepada masyarakat ini bertujuan menganalisis dan merancang sistem manajemen kepegawaian kecamatan guna meningkatkan efisiensi dalam pengelolaan data aparatur. Metode yang digunakan meliputi analisis kebutuhan melalui observasi dan wawancara untuk mengidentifikasi permasalahan utama. Selanjutnya dilakukan perancangan alur informasi menggunakan Data Flow Diagram (DFD), serta perancangan basis data dengan Entity-Relationship Diagram (ERD) guna memastikan sistem mampu menyimpan dan mengelola data pegawai secara terstruktur. Rancangan mencakup fitur utama seperti pencatatan data pegawai, pengelolaan jabatan, penilaian kinerja, serta riwayat mutasi dan pengangkatan. Selain itu, dibuat desain antarmuka untuk menggambarkan interaksi pengguna dengan sistem. Hasil dari perancangan ini diharapkan dapat menjadi acuan pengembangan sistem digital kepegawaian di Kecamatan Giritontro, sehingga pengelolaan kepegawaian dapat berjalan lebih optimal, efektif, dan efisien, serta mendukung peningkatan kualitas layanan administrasi di lingkungan pemerintahan kecamatan.
Implementation of Blockchain ​​in Property Sales Transactions Auxylium Bunga; Erik Iman Heri Ujianto
Journal of Innovation and Technology Polbeng Series on Informatics (INOVTEK Polbeng - Seri Informatika) Vol. 10 No. 3 (2025): November
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/766t2511

Abstract

In the digital era, property sales face significant challenges such as lengthy processes, involvement of multiple intermediaries, and lack of ownership transparency. This study aims to create a prototype property transaction system that utilizes blockchain technology, integrated with smart contracts, a Node.js backend, and a MySQL database. The system is simulated with Ganache as a local network to test the decentralized and secure data storage of transactions. The research methods include simulation, direct observation, as well as functional testing and performance evaluation using a black box testing approach to ensure the reliability and efficiency of each system component. Test results show a functional success rate of 100% from 14 test scenarios. Based on these findings, the system has been proven to validly record transactions, avoid double transactions, and maintain data integrity. Smart contract technology can partly replace notary functions digitally, while blockchain serves as a means of secure and immutable transaction storage. Therefore, this system can enhance efficiency, transparency, and accountability in property transaction processes and make a significant contribution to the digitalization of the real estate sector.
Co-Authors Adhi Prahara Aditya Dimas Dewanto ADITYA HERMAWAN Agus Rakhmadi Mido Agus Sujarwadi Amelia Citra Dewi Apriansyah, Ferryma Arba Auxylium Bunga Azmi, Falah Ilhan Chaidar Panji Mahardhika Dian Wijayanti Difa Nur Sahara Enggar Novianto Fauzi, Rizky Gunawan Wibisono Iman, Asri Khayatul Kastella, Thufail Bintang Mido, Agus Rakhmadi Muhammad Husni Wahid Muhammad Rizki Murinto Murinto Purwanto, Candra Ihsan Rianto Rianto Rianto Rianto Saputra, Candra Heru Sujoko Sujoko Surya Darmawan Syahab, Alfin Syarifuddin Tri Waluyo Triyas Hevianto Saputro Tuasikal, Afrizal Halim Naindhy Walangitan, Jeanette Wayan Praka Wibowo, Wahyu Andre Zharifa, Anjana Haya Atha