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All Journal JURNAL SISTEM INFORMASI BISNIS JOIV : International Journal on Informatics Visualization 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 Journal of Information Systems and Informatics Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics Abditeknika - Jurnal Pengabdian Kepada Masyarakat Jurnal Sistem Informasi Akuntansi SPEED - Sentra Penelitian Engineering dan Edukasi Jurnal Media Computer Science Paradigma Indonesian Journal Computer Science (ijcs) Jurnal Pengabdian Masyarakat dan Riset Pendidikan Kesejahteraan Bersama : Jurnal Pengabdian dan Keberlanjutan Masyarakat Masyarakat Berkarya: Jurnal Pengabdian dan Perubahan Sosial Pelayanan Unggulan: Jurnal Pengabdian Masyarakat Terapan Jurnal Infortech
Galih Setiawan Nurohim
Universitas Bina Sarana Informatika
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Other

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Empowering Children with Healthy Internet Literacy and Digital Content Creation Skills Heribertus Ary Setyadi; Galih Setiawan Nurohim; Wawan Haryanto
Pelayanan Unggulan : Jurnal Pengabdian Masyarakat Terapan Vol. 2 No. 4 (2025): November: Pelayanan Unggulan : Jurnal Pengabdian Masyarakat Terapan
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/unggulan.v2i4.2225

Abstract

Children development in the digital era confronts substantial challenges stemming from rapid technological advancements. Children of the current generation, specifically Gen Z and Post Gen Z, are immersed in digital technology from a young age. Early childhood represents a demographic highly susceptible to the detrimental influences of digital media. Consequently, it is imperative to ensure that digital media utilized in early childhood education not only effectively fosters children's skills and knowledge but also remains secure and avoids producing adverse outcomes. This community service project purpose is to provide children with healthy internet literacy and to conduct training on creating digital content for them. This activity's focus was on managers and children of Mizan Amanah Orphanage for Orphans and the Poor in Surakarta. Asset-Based Community Development (ABCD) approach was utilized, with the goal community empowering by leveraging its inherent potential and resources. Implementation phases involved a needs assessment (Discovery), defining aspirations (Dream), creating the training module (Design), finalizing a plan through a Focus Group Discussion (Define), and executing the training (Destiny). The processed questionnaires from all participants concluded that workshop material was highly beneficial and tutor's delivery was satisfactory. 63% of participants were satisfied, and 32% were very satisfied.
Tiktok Shop Untuk Meningkatkan Penjualan Produk UMKM Witpari Karanganyar Setyadi, Heribertus Ary; Nurohim, Galih Setiawan; Nugroho, Wawan; Sutanto, Sutanto
Abditeknika Jurnal Pengabdian Masyarakat Vol. 3 No. 1 (2023): April 2023
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/abditeknika.v3i1.1726

Abstract

Keberadaan UMKM (Usaha Mikro Kecil dan Menengah) semakin meningkatkan jiwa kewirausahaan atau wiraswasta dan menciptakan lapangan kerja bagi masyarakat. Para pelaku usaha UMKM Indonesia terus mengembangkan diri untuk menciptakan daya saing universal agar tetap mempertahankan eksistensinya di dunia bisnis. Paguyuban Witpari atau Wirausaha Tangguh Bumi Intanpari yang berada di Karanganyar, Jawa Tengah adalah kumpulan para pelaku UMKM yang telah mempunyai berbagai macam produk. Tiktok menjadi salah satu sarana pemasaran online yang banyak digunakan oleh para pelaku bisnis. Aplikasi TikTok sekarang digunakan untuk mempromosikan suatu produk tertentu. Saat ini aplikasi Tiktok menjadi salah satu platform media sosial yang banyak digunakan untuk kegiatan digital marketing ini. Aplikasi Tiktok ini menampilkan fitur yang kekinian yang mana dapat menarik para pengguna Tiktok untuk menggunakannya. Adanya pelatihan pembuatan tiktok shop diharapkan dapat dijadikan inovasi dalam pemasaran secara digital untuk menambah ketertarikan konsumen membeli produk yag ditawarkan.   The existence of UMKM (Usaha Mikro Kecil dan Menengah) further enhances the entrepreneurial spirit and creates employment opportunities for the community. Indonesian UMKM entrepreneurs continue to develop themselves to create universal competitiveness in order to maintain their existence in the business world. The Witpari Association or the Tangguh Bumi Intanpari Entrepreneurship located in Karanganyar, Central Java is a collection of UMKM actors who already have a variety of products. Tiktok is an online marketing tool that is widely used by business people. TikTok application is now used to promote a specific product. Currently Tiktok is one of the social media platforms that is widely used for digital marketing activities. This Tiktok application displays modern features that can attract Tiktok users to use it. The existence of training on making a tiktok shop is expected to be used as an innovation in digital marketing to increase consumer interest in buying the products offered.
Perancangan Dashboard Untuk Manajemen Penjualan Produk Pada Perusahaan XYZ Dalam Pengambilan Keputusan Bisnis Nurohim, Galih Setiawan; ahmad fauzi; Akbar, Muhammad Faitullah; Wati, Fanny Fatma
Jurnal Sistem Informasi Akuntansi (JASIKA) Vol. 4 No. 01 (2024): Mei 2024
Publisher : LPPM UBSI Kampus Kota Tegal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/jasika.v4i01.3461

Abstract

XYZ is a company engaged in marketing and analytics. To improve sales efficiency and product management, XYZ requires the implementation of a dashboard for visualizing sales data. This dashboard is expected to provide accurate information that is useful for business decision-making and monitoring sales progress. The development method used in the design of this dashboard is prototype, and the tool used for data visualization is Chart.js. The sales data used is real-time data obtained from the previously developed web application. This dashboard allows for the visualization of various aspects of sales, including customer distribution, sales percentages by product, and evaluation of factors influencing repeat purchase decisions
Benchmarking Deepseek-LLM-7B-Chat and Qwen1.5-7B-Chat for Indonesian Product Review Emotion Classification Nurohim, Galih Setiawan; Setyadi, Heribertus Ary; Fauzi, Ahmad
Journal of Applied Informatics and Computing Vol. 9 No. 6 (2025): December 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i6.11369

Abstract

Upon completing their shopping experience on an e-commerce platform, users have the opportunity to leave a review. By analyzing reviews, businesses can gain insight into customer emotions, while researchers and policymakers can monitor social dynamics. Large Language Models (LLMs) utilization is identified as a promising methodology for emotion analysis. LLMs have revolutionized natural language processing capabilities, yet their performance in non-English languages, such as Indonesian, necessitates a comprehensive evaluation. This research objective is to perform a comprehensive analysis and comparison of Deepseek-LLM-7B-Chat and Qwen1.5-7B-Chat, two prominent open-source Large Language Models, for the emotion classification of Indonesian product reviews. By leveraging the PRDECT-ID dataset, this study evaluates the performance of both models in a few-shot learning scenario through prompt engineering. The methodology outlines the data preprocessing pipeline, a detailed few-shot prompt engineering strategy tailored to each model's characteristics, model inference execution, and performance assessment using the accuracy, precision, recall, and F1-score metrics. Analytical results reveal DeepSeek achieved an accuracy of 43.41%, exhibiting a considerably superior ability to comprehend instructions compared to Qwen, which attained a maximum accuracy of only 20.35% and often yielded near-random predictions. An in-depth error analysis indicates that this performance gap is likely attributable to factors such as pre-training data bias and tokenization mismatches with the Indonesian language. This research offers empirical evidence regarding the comparative strengths and weaknesses of DeepSeek and Qwen, providing a diagnostic benchmark that underscores the significance of instruction tuning and robust multilingual representation for Indonesian NLP tasks.
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.
Pengenalan Kecerdasan Buatan sebagai Bekal Literasi Digital bagi Anak Panti Asuhan Al Ikhsan Surakarta: Pengabdian Sri Rejeki; Eka Rahmawati; Wawan Haryanto; Galih Setiawan Nurohim
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 4 (2026): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 4 April - Juni
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i4.6906

Abstract

Perkembangan kecerdasan buatan (Artificial Intelligence/AI) menuntut generasi muda memiliki literasi digital agar mampu memanfaatkan teknologi secara produktif, kritis, dan bertanggung jawab. Anak-anak panti asuhan perlu memperoleh pembelajaran teknologi terkini sebagai bekal menghadapi tantangan pendidikan dan dunia kerja. Kegiatan pengabdian kepada masyarakat ini bertujuan meningkatkan pemahaman dan keterampilan literasi AI anak-anak Panti Asuhan Al Ikhsan Surakarta melalui pengenalan konsep dasar dan praktik penggunaan aplikasi berbasis AI. Kegiatan dilaksanakan pada 17 Mei 2026 dengan melibatkan 12 peserta laki-laki berusia 12–20 tahun. Metode yang digunakan meliputi persiapan, penyampaian materi, demonstrasi, praktik, diskusi, pendampingan, dan evaluasi. Materi mencakup konsep AI, pemanfaatan aplikasi AI dalam pembelajaran, penyusunan prompt sederhana, serta penggunaan AI yang etis dan bertanggung jawab. Hasil kegiatan menunjukkan peningkatan pemahaman peserta mengenai konsep dan pemanfaatan AI. Peserta mampu mengenali berbagai aplikasi AI, menyusun prompt sederhana, serta memanfaatkan AI untuk mencari informasi, menghasilkan ide tulisan, membuat rangkuman, dan membantu penerjemahan. Evaluasi melalui kuesioner menunjukkan mayoritas peserta memberikan penilaian positif terhadap materi, narasumber, sarana prasarana, dan pelaksanaan kegiatan. Sebagian besar peserta juga menyatakan kegiatan bermanfaat dalam menambah wawasan dan meningkatkan keterampilan literasi digital.
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.
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.
Implementation MFEP Method in Developing Recommendation System for Program Keluarga Harapan (PKH) Recipients Wawan Nugroho; Galih Setiawan Nurohim; Heribertus Ary Setyadi Setyadi; Doddy Satrya Perbawa
Paradigma - Jurnal Komputer dan Informatika Vol. 26 No. 2 (2024): September 2024 Period
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/p.v26i2.4978

Abstract

Poverty occurs because of the imbalance between unlimited human needs and limited resources. This results in a lack of income to meet basic living needs. The Indoonesian government's efforts to alleviate poverty include providing assistance to the poor or underprivileged with assistance called Social Assistance, one of which is the Program Keluarga Harapan (PKH). Problems often occur in determining who is entitled to receive PKH assistance. The conventional selection process is considered inefficient because it requires a long process and the influence of the committee's subjectivity in the assessment, the criteria used in the survey are not in accordance with government regulations and the limited quota of total PKH recipients, so there are still people who do not receive PKH even though they meet the criteria. This research uses the Multi Factor Evaluation Process (MFEP) method. System testing uses the black box method and Boundary Value Analysis techniques which focus on finding system errors. To test the system's accuracy by comparing the MFEP process from the system results and facts based on PKH recipients in 2022 and producing an accuracy value of 91%.
Co-Authors ., Supriyanta Ahmad Fauzi Ahmad Fauzi Ahmad Fauzi Akbar, Muhammad Faitullah Al Amin, Budi Amin, Budi Al Annida Purnamawati Budi Al Amin Candra Agustina Diah Pradiatiningtyas Doddy Satrya Perbawa eka rahmawati Eka Rahmawati Fanny Fatma Wati Fauzi Ahmad Muda Hartati Dyah Wahyuningsih Heribertus Ary Setyadi Heribertus Ary Setyadi Setyadi Muhammad Faittullah Akbar Paulus Tofan Rapiyanta Pudji Widodo Pudji Widodo Sigit Wahyudi Siti Khotimah Sri Rejeki Sundari . Sundari Sundari Supriyanta Supriyanta Sutanto Sutanto Sutanto Sutanto Wahyuningsih, Hartati Dyah Wawan Haryanto Wawan Nugroho Yusuf Sutanto Yusuf Sutanto