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All Journal JURNAL SISTEM INFORMASI BISNIS JOIV : International Journal on Informatics Visualization Jurnal Ilmiah FIFO Jurnal Pilar Nusa Mandiri 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) Kesejahteraan Bersama : Jurnal Pengabdian dan Keberlanjutan Masyarakat Masyarakat Berkarya: Jurnal Pengabdian dan Perubahan Sosial Pelayanan Unggulan: Jurnal Pengabdian Masyarakat Terapan
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 Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health

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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.
Implementation MFEP Method in Developing Recommendation System for Program Keluarga Harapan (PKH) Recipients Nugroho, Wawan; Nurohim, Galih Setiawan; Setyadi, Heribertus Ary Setyadi; Perbawa, Doddy Satrya
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%.
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.
Co-Authors Ahmad Fauzi Ahmad Fauzi Akbar, Muhammad Faitullah Al Amin, Budi Amin, Budi Al Budi Al Amin Candra Agustina Diah Pradiatiningtyas Doddy Satrya Perbawa eka rahmawati Fauzi Ahmad Muda Fauzi, Ahmad Heribertus Ary Setyadi Indradewa, Rhian Muhammad Faittullah Akbar Nugroho, Wawan Pudji Widodo Setyadi, Heribertus Ary Setyadi Siti Khotimah Sundari Sundari Supriyanta Supriyanta Sutanto Sutanto Sutanto Sutanto Wahyuningsih, Hartati Dyah Wati, Fanny Fatma Wawan Haryanto Yusuf Sutanto