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All Journal PROSIDING SEMINAR NASIONAL Speed - Sentra Penelitian Engineering dan Edukasi Jurnal Teknologi Informasi dan Ilmu Komputer INFORMATIKA JOIV : International Journal on Informatics Visualization RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta Jurnal Ilmiah FIFO Jurnal Pilar Nusa Mandiri JITK (Jurnal Ilmu Pengetahuan dan Komputer) Techno Nusa Mandiri : Journal of Computing and Information Technology JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal Teknologi Informasi dan Terapan (J-TIT) Journal of Information Systems and Informatics Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Infortech Jurnal Pengabdian kepada Masyarakat Nusantara Abditeknika - Jurnal Pengabdian Kepada Masyarakat Wasana Nyata Jurnal Abdimas Ekonomi dan Bisnis Journal Basic Science and Technology Indonesian Journal of Networking and Security - IJNS SPEED - Sentra Penelitian Engineering dan Edukasi Jurnal Media Computer Science Paradigma Indonesian Journal Computer Science (ijcs) Dikdimas : Jurnal Pengabdian Kepada Masyarakat WASANA NYATA IRA Jurnal Pengabdian Kepada Masyarakat Pelayanan Unggulan: Jurnal Pengabdian Masyarakat Terapan Prawara Jurnal Pengabdian Masyarakat Jurnal Infortech
Heribertus Ary Setyadi
Universitas Bina Sarana Informatika
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Nursing Public Health Social Sciences Veterinary Other

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Utilizing Data Mining Approach For Hypertension Diagnosis Classification Pudji Widodo; Heribertus Ary Setyadi; Hartati Dyah Wahyuningsih; Sundari Sundari
Jurnal Teknologi Informasi dan Terapan Vol 12 No 1 (2025): June
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v12i1.446

Abstract

Hypertension is one of the factors contributing to the highest death rates from non-communicable diseases in various countries. Every year, the number of hypertension sufferers increases significantly. It is estimated that in 2025, the number of hypertension sufferers will reach 1.5 billion individuals. Data mining aims to identify patterns that can help in decision making, classification, and prediction. One of the well-known algorithms or methods for classification is the Support Vector Machine (SVM). The SVM method aims to find the best hyperplane or decision boundary function that can separate two or more classes of data in the input space. This research purpose is to determine the classification results and accuracy of the diagnosis of hypertension using the SVM method. Eleven attributes used include age, smoking habits, physical activity, sugar consumption, salt consumption, fat consumption, alcohol consumption, lack of fruit and vegetable consumption, systolic and diastolic blood pressure. This research will utilize Jupyter Notebook tools and Python programming language as research tools. The SVM method was trained with various kernel attributes and hyperparameters to produce the best model. From the results it is known that the RBF kernel used with parameters ???? = 100 and ???? = 0.1 produces an accuracy of 97.5% which is the best model in classifying hypertension. From these results it can be concluded that the SVM method is able to produce a very good classification of hypertension diagnosis and can provide a diagnosis to detect hypertension early
LEVERAGING CONTINUAL FINE-TUNING FOR EMOTION CLASSIFICATION IN PRODUCT REVIEWS ON MSME SUSTAINABILITY SUPPORT Galih Setiawan Nurohim; Heribertus Ary Setyadi; Pudji Widodo; Yusuf Sutanto
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 11 No. 4 (2026): JITK Issue May 2026
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v11i4.7729

Abstract

Automatic analysis of consumer product reviews is essential for understanding granular customer perceptions beyond basic sentiment. While transformer-based models are prevalent in Indonesian sentiment analysis, their adaptation for multi-emotion classification shifting from broad polarities to specific affective states remains underexplored. This study addresses this gap by proposing a Continual Fine-Tuning (CFT) approach to adapt a pre-trained IndoBERTweet model from three sentiment categories into five distinct emotion classes: Happiness, Sadness, Fear, Love, and Anger. The novelty lies in the strategic repurposing of sentiment-oriented weights to capture nuanced emotional representations in Indonesian e-commerce discourse. Experimental results on the PRDECT-ID dataset demonstrate that the proposed CFT model achieves an accuracy of 0.8157 and a weighted F1-score of 0.8118, significantly outperforming traditional neural networks and multilingual baselines. The CFT model demonstrates a 2.13% improvement in accuracy compared to the base IndoBERTweet without continual tuning and a substantial 59.54% lead over the multilingual BERT (mBERT) baseline. Despite limitations concerning the dataset scale (5,400 samples) and inherent subjectivity in emotion labeling, this research provides a robust conceptual framework for model adaptation in the Indonesian NLP ecosystem. These findings suggest that CFT is an efficient strategy for enhancing the emotional intelligence of transformer models, especially in domain-specific tasks where high-quality labeled data is constrained.
Behind the Black Box: Improving Stunting Determinants Analysis Through Explainable Artificial Intelligence Wawan Nugroho; Heribertus Ary Setyadi; Supriyanta Supriyanta; Galih Setiawan Nurohim; Annida Purnamawati
Jurnal Infortech Vol. 8 No. 1 (2026): June 2026
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/infortech.v8i1.12656

Abstract

Stunting is a public health problem that has a long-term impact on the quality of human resources. This study aims to analyze the performance of machine learning algorithms and identify the dominant factors of stunting using the Explainable Artificial Intelligence (XAI) approach. The dataset used was 120,999 toddlers with age, height, gender, and nutritional status attributes. The research stages include data pre-processing, normalization, separation of training and testing data (80:20), modeling using C4.5 algorithms, Support Vector Machine (SVM), and Random Forest, and evaluation using accuracy, precision, recall, and F1-score. The results showed that Random Forest and C4.5 achieved the best performance with an accuracy of 99.93%, while SVM achieved 98.37%. Interpretive analysis using SHAP revealed that height and age were the most dominant factors in the stunting classification with a contribution of 0.59 and 0.41, respectively, while gender contributed relatively small. These findings show that the integration of multi-algorithmic evaluation and XAI not only results in accurate prediction models, but also transparent and interpretive, thus supporting data-driven decision-making in efforts to accelerate stunting reduction in Indonesia
Enhancing Javanese Emotion Classification: A Comparative Study of Cross-Lingual, Supervised, and Hybrid Transfer Learning using IndoBERTweet Galih Setiawan Nurohim; Heribertus Ary Setyadi; Sigit Wahyudi; Paulus Tofan Rapiyanta
Journal of Information System and Informatics Vol 8 No 3 (2026): June
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i3.1657

Abstract

This research investigates transfer learning efficacy for five-class emotion classification in Javanese Ngoko. A parallel Indonesian–Javanese Ngoko corpus was synthesized by translating 5,400 samples from the PRDECT-ID dataset using machine translation, with translation quality verified via a preliminary expert validation sample. Using IndoBERTweet as the backbone architecture, three paradigms were evaluated: zero-shot transfer (E1), fully supervised learning (E2), and cross-lingual transfer learning (E3) with identical hyperparameters. Empirical results indicate that the cross-lingual transfer (E3) setup achieved peak performance (67,5% accuracy; 0,67 weighted F1) under the evaluated dataset and experimental setting. Per-class analysis identified that positive affect (Happy) showed cross-lingual stability, whereas negative emotions (Sadness, Fear) suffered degradation due to lexical divergence between the two languages. Training dynamics revealed early-onset overfitting, suggesting model capacity exceeds current dataset density. This work establishes a baseline benchmark for Javanese emotion classification and provides a reproducible machine-translated parallel corpus, emphasizing the need for future validation with native-speaker data to mitigate translation bias.
Scratch Sebagai Media Stimulasi Kognitif: Penguatan Berpikir Komputasional Berbasis Service Learning pada Pendidikan Dasar Heribertus Ary Setyadi; Wawan Nugroho; Supriyanta Supriyanta; Candra Agustina
WASANA NYATA Vol 10, No 1 (2026)
Publisher : STIE AUB Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36587/wasananyata.v10i1.2199

Abstract

Wacana integrasi kelas pemrograman bagi siswa dasar dan menengah yang diusulkan oleh Wakil Presiden Gibran Rakabuming Raka memicu restrukturisasi kurikulum nasional oleh Kementerian Pendidikan Dasar dan Menengah melalui penyusunan kerangka strategis berbasis coding dan Kecerdasan Buatan (AI). Edukasi pemrograman pada usia dini diproyeksikan mampu menstimulasi penalaran kreatif serta mengonstruksi soft skills abad ke-21 termasuk problem solving, kolaborasi, dan critical thinking, sehingga orientasi siswa bergeser dari konsumen instruksi menjadi arsitek solusi digital. Selaras dengan arah kebijakan tersebut, artikel/kegiatan ini mengkaji program kemitraan bersama Pondok Pesantren dan Panti Asuhan Al Ikhsan Surakarta dalam memitigasi urgensi kesenjangan digital (digital divide) dan keterbatasan logika sistematis siswa. Melalui intervensi teknologis yang terarah, program ini mengombinasikan instruksi teknis dan penguatan psikologis guna memperluas domain kognitif serta membangun efikasi diri siswa. Hasil implementasi menegaskan bahwa sintesis antara metode Service Learning dan platform Scratch efektif mengakselerasi literasi digital serta pertumbuhan kognitif. Transformasi peserta dari pengguna pasif menjadi kreator aktif diindikasikan oleh penguasaan empat pilar Berpikir Komputasional (Computational Thinking): dekomposisi, pengenalan pola, abstraksi, dan perancangan algoritma, yang secara simultan meningkatkan kapabilitas pemecahan masalah secara signifikan.
Enhance Artificial Intelligence Literacy for Islamic Boarding School Students Using the Asset Based Community Development Method Heribertus Ary Setyadi; Candra Agustina; Wawan Haryanto; Rousyati Rousyati
WASANA NYATA Vol 9, No 1 (2025)
Publisher : STIE AUB Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36587/wasananyata.v9i1.1970

Abstract

Use of artificial intelligence (AI) in teaching and learning has become an increasingly important topic in modern education context. AI offers a wide range of potential to enhance students' learning experiences through better personalization and adaptation to individual needs. From initial observations in several Islamic boarding schools in Banjarsari Surakarta, it was found that understanding of students and teachers about AI and AI supporting applications was still lacking. As part of efforts to improve education quality and community readiness to face a digital era, Bina Sarana Informatika University, Surakarta City Campus, took an initiative to implement a community service program in form of training on using AI in education for students. Community service method used in this activity is the Asset Based Community Development (ABCD) approach which aims to empower communities by utilizing existing potential and resources. Implementation stages include needs analysis (Discovery), expectations formulation (Dream), design of training modules (Design), finalization of plans with FGD (Define), and training implementation (Destiny). AI workshop for Islamic boarding schools has been successfully implemented with good results. From questionnaires that have been filled out by all participants, it shows that workshop materials presented are very useful, materials and tutors delivery method are satisfactory. Workshop participants who are satisfied or rate it good are 63% and those who rate it as very satisfied or very good are 32%.
UTILIZING END USER DEVELOPMENT METHOD FOR DEVELOPING PENCAK SILAT ORGANIZATION INFORMATION SYSTEMS Heribertus Ary Setyadi; Hartati Dyah Wahyuningsih; Galih Setiawan Nurohim; Sundari Sundari
Jurnal Pilar Nusa Mandiri Vol. 21 No. 2 (2025): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Pe
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v21i2.6487

Abstract

Gondang is one of the PSHT sub-branches located in Sragen Regency, Central Java, Indonesia. In managing member data from recruitment to promotion, conventional methods are still used using office applications and information dissemination is still using brochures and social media. This research aims to develop an information system that can help manage data and disseminate information at PSHT Gondang. The system developed can manage the registration of prospective member to become a member and the process of promotion. Delivery of information in the form of organizational structures, announcements, activity schedules, services for member and community, activity galleries containing photos and videos can also be accessed through the system.EUD was chosen as a method in system development because time required is quite short with a relatively small cost allocation. The system is created using Laravel framework and Firebase as a database with a responsive display so that it can be accessed using a smartphone. By using the EUD method, users can modify the appearance and existing information if there is a change in data from the organization which was not available in previous research.
Penggunaan Metode Analytic Hierarchy Process Untuk Pembobotan Perilaku Kerja Dalam Penilaian Prestasi Kerja Dosen Agus Kristianto; Heribertus Ary Setyadi
Paradigma - Jurnal Komputer dan Informatika Vol. 24 No. 1 (2022): Periode Maret 2022
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/paradigma.v24i1.989

Abstract

Assessment of work performance consists of two elements, they are the employee's work goals and work behavior. The assessment of work behavior which consists of service orientation, integrity, commitment, discipline, cooperation and leadership that has been running so far is not considered objective between lecturers who have structural positions and ordinary lecturers. The purpose of this research is to produce a database information system that uses the AHP method to assist leaders in assessing work behavior. Work behavior between lecturers and structural officials will have different weights for some of the behavioral points assessed. AHP method is used to determine the weight of work behavior whose value is generated from the value of the interest ratio that has been entered. Result of this research is the value of work behavior according to the weight of each position and with predetermined criteria.. The system also generates the value of the Tri Dharma Tinggi activities for lecturers which include teaching and education, research, community service and supporting elements. System is made using visual basic programming and has been automated for AHP calculations and the value of lecturer activities. The weights generated by the AHP method are values that are consistent and feasible to use because they have been tested for consistency.
Scratch Sebagai Media Stimulasi Kognitif: Penguatan Berpikir Komputasional Berbasis Service Learning pada Pendidikan Dasar Heribertus Ary Setyadi; Wawan Nugroho; Supriyanta Supriyanta; Candra Agustina
WASANA NYATA Vol 10, No 1 (2026)
Publisher : STIE AUB Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36587/wasananyata.v10i1.2199

Abstract

Wacana integrasi kelas pemrograman bagi siswa dasar dan menengah yang diusulkan oleh Wakil Presiden Gibran Rakabuming Raka memicu restrukturisasi kurikulum nasional oleh Kementerian Pendidikan Dasar dan Menengah melalui penyusunan kerangka strategis berbasis coding dan Kecerdasan Buatan (AI). Edukasi pemrograman pada usia dini diproyeksikan mampu menstimulasi penalaran kreatif serta mengonstruksi soft skills abad ke-21 termasuk problem solving, kolaborasi, dan critical thinking, sehingga orientasi siswa bergeser dari konsumen instruksi menjadi arsitek solusi digital. Selaras dengan arah kebijakan tersebut, artikel/kegiatan ini mengkaji program kemitraan bersama Pondok Pesantren dan Panti Asuhan Al Ikhsan Surakarta dalam memitigasi urgensi kesenjangan digital (digital divide) dan keterbatasan logika sistematis siswa. Melalui intervensi teknologis yang terarah, program ini mengombinasikan instruksi teknis dan penguatan psikologis guna memperluas domain kognitif serta membangun efikasi diri siswa. Hasil implementasi menegaskan bahwa sintesis antara metode Service Learning dan platform Scratch efektif mengakselerasi literasi digital serta pertumbuhan kognitif. Transformasi peserta dari pengguna pasif menjadi kreator aktif diindikasikan oleh penguasaan empat pilar Berpikir Komputasional (Computational Thinking): dekomposisi, pengenalan pola, abstraksi, dan perancangan algoritma, yang secara simultan meningkatkan kapabilitas pemecahan masalah secara signifikan.
Produk Ekologis Berbasis PAR: Pemanfaatan Tawas untuk Deodoran Alami di Desa Tirtomarto Klaten Fauziadnan Nugraha Saputra; Aliya Safira Rais; Aima Ledyana Sari; Muhammad Habib Bangkit Utomo; Resya Sahroni Putri; Putri Fiky 'Amalina; Heribertus Ary Setyadi
IRA Jurnal Pengabdian Kepada Masyarakat (IRAJPKM) Vol 4 No 2 (2026): Agustus
Publisher : CV. IRA PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56862/irajpkm.v4i2.535

Abstract

The BSI Explore community service initiative aimed to empower PKK cadres in Tirtomarto Village, Cawas, Klaten, to produce stable, safe, and hygienic alum-based spray deodorants. Using the Participatory Action Research (PAR) methodology, an intensive one-day workshop was conducted with 30 participants, covering cycles of planning, action, quality observation, and reflection. Cognitive evaluations revealed a remarkable 73.36% leap in understanding, as average scores rose from 50.16 (pre-test) to 86.96 (post-test). Product quality assessments confirmed that a 1:4 standard formula ratio (alum-distilled water) infused with glycerin maintained organoleptic stability, prevented crystallisation, and secured a skin-safe pH of 5.5–5.6. From a socioeconomic standpoint, PAR effectively built community confidence to produce deodorants independently at a minimal cost of IDR 3,500/bottle. This activity successfully laid a solid foundation for sustainable green cosmetic entrepreneurship within the local community.
Co-Authors - STIE AUB Surakarta, Yusuf Sutanto ., Supriyanta Agung Nugroho Ahmad Fauzi Aima Ledyana Sari Akhmad Syukron Al Amin, Budi Aliya Safira Rais Amin, Budi Al Annida Purnamawati Bambang Eka Purnama Bambang Eka Purnama Bambang Eka Purnama Budi Al Amin Cahyo Nugroho, Ernes Candra Agustina Candra Agustina Dahlan Susilo Doddy Satrya Perbawa Eka Rahmawati Ernes Cahyo Nugroho - STMIK AUB Surakarta Fauzi Ahmad Muda Fauziadnan Nugraha Saputra Galih Setiawan - UBSI Galih Setiawan Nurohim Galih Setyawan Nurohim Hartati Dyah Wahyuningsih Hartati Dyah Wahyuningsih Haryanto, Wawan Kristianto, Agus Muhammad Habib Bangkit Utomo Nurohim, Galih S Paulus Tofan Rapiyanta Pudji Widodo Pudji Widodo Pudji Widodo Putri Fiky 'Amalina Resya Sahroni Putri Rousyati Rousyati Rousyati, Rousyati Sardiarinto Sardiarinto Satrya Perbawa, Doddy Sigit Wahyudi Sri Rejeki Sundari . Sundari Sundari Sundari Sundari Supriyanta Supriyanta Sutanto Sutanto Sutanto Sutanto Wahyuningsih, Hartati Dyah Wawan Haryanto Wawan Haryanto Wawan Nugroho Yulianto Yusuf Sutanto Yusuf Sutanto Yusuf Sutanto