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All Journal KOMPUTIKA - Jurnal Sistem Komputer KOMPUTA : Jurnal Ilmiah Komputer dan Informatika Jurnal Pengabdian Pelitabangsa Jurnal Pengabdian Teknik dan Ilmu Komputer (PETIK) Jurnal Manajemen Informatika, Sistem Informasi dan Teknologi Komputer (JUMISTIK) Software Engineering in Computing Systems
Hani Irmayanti
Universitas Komputer Indonesia
Religion Arts Humanities Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Public Health Other

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PEMASARAN PRODUK MACRAME HANDYCRAFT PADA MEDIA INSTAGRAM SEBAGAI SARANA ONLINE MARKETING Hani Irmayanti; Sri Nurhayati; Riani Lubis
Jurnal Pengabdian Pelitabangsa Vol. 3 No. 02 (2022): Jurnal Pengabdian Pelitabangsa Oktober 2022
Publisher : DPPM Universitas Pelita Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37366/jabmas.v3i02.1445

Abstract

Permasalahan yang ada pada mitra adalah mitra belum mengetahui bagaimana pemanfaatan teknologi untuk promosi dan penjualan hasil kerajinan makrame. Mitra juga kesulitan dalam membuat branding produk, sehingga masih kesulitan dalam memperkenalkan produk kerajinan tangan yang mereka buat ke masyarakat luas. Tujuan dilaksanakan Pengabdian dan Pemberdayaan Masyarakat ini adalah Memperkenalkan penggunaan teknologi sebagai media untuk melakukan promosi dan penjualan produk serta memberikan informasi bagaimana cara membangun kekuatan branding produk dengan media sosial Instagram. Media social Instagram akan digunakan dalam proses promosi ini, karena sekarang media ini penggunanya cukup banyak dari semua kalangan, tidak hanya digunakan untuk kepentingan probadi, akan tetapi digunakan juga untuk bisnis. Metode yang akan digunakan dalam kegiatan ini adalah pembekalan materi untuk menjelaskan apa itu media sosial Instagram, bagaimana cara menggunakan media sosial tersebut, selain itu juga dilakukan pelatihan terhadap Ibu-Ibu di RT.01 Kelurahan Kebonwaru Kota Bandung dalam melakukan pembuatan akun Instagram. Kemudian pelatihan dalam penggunaan Instagram untuk kegiatan promosi dan penjualan. Selain itu juga pelatihan dalam branding produk yang akan di promosikan dalam Instagram.Setelah dilaksanakannya kegiatan Pengabdian dan pemberdayaan pada masyarakat ini, Ibu-Ibu di RT.01 lebih peham penggunaan media sosial Instagram dan juga lebih memahami lagi bagaimana cara memasarkan produk mereka di media sosial Instagram.
Smart Notification System with the Integration of Robotic Process Automation and Reinforcement Learning Andri Heryandi; Sufa Atin; Hani Irmayanti; Adam Mukharil Bachtiar; Hanhan Maulana; Bobi Kurniawan Soegoto; Ednawati Rainarli
Komputika : Jurnal Sistem Komputer Vol. 15 No. 1 (2026): Komputika: Jurnal Sistem Komputer
Publisher : Computer Engineering Departement, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputika.v15i1.18951

Abstract

This study proposes the development of an intelligent academic notification system by integrating Robotic Process Automation (RPA) and Reinforcement Learning (RL) to improve the effectiveness of delivering information to students and parents. RPA is utilized to automate the process of sending notifications across various channels, such as email and WhatsApp, ensuring fast, consistent, and hands-free message distribution. RL is implemented to determine the optimal communication channel based on delivery history, message status (sent, failed, read), and the cost associated with each channel. Each student is represented as a state, while the selection of a communication channel becomes an action evaluated using Q-learning. The system learns from recipient behavior and updates the Q-table to enhance the accuracy of channel selection for future notifications. Additionally, the system applies an automatic escalation mechanism to parents as the deadline approaches. The result of this research is a smart notification system that can be implemented within academic information systems to enhance operational efficiency and student engagement.
The Integration Of Non-Academic Variables In Student Risk Assessment: A Conceptual Framework Hani Irmayanti; Eddy Soeryanto Soegoto; Hidayat Hidayat; Rio Yunanto; Zainal Arifin Hasibuan; Sri Supatmi
Software Engineering in Computing Systems Vol. 1 No. 2 (2026): May: Software Engineering in Computing Systems
Publisher : Asosiasi Pengelola Jurnal Informatika dan Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66472/secons.v1i2.435

Abstract

Students’ success in completing their studies on time is a vital indicator of the quality of higher education management in Indonesia. However, high dropout rates pose a major challenge, often caused by institutions’ failure to detect warning signs of academic failure in a timely manner. The main issue lies in the current evaluation approach, which is reactive and limited to conventional academic indicators such as the Grade Point Average (GPA), thereby neglecting the psychosocial factors that influence performance. This study aims to develop a more comprehensive conceptual framework for the early detection of academic failure risk by integrating academic and non-academic dimensions. The methodology used is adapted from the Design Science Research Methodology (DSRM), focusing on the stages from problem identification to the design of the model artifact. The proposed approach is a hybrid model that combines traditional academic variables with non-academic variables, including psychological stress levels, self-efficacy, and social support. The design results indicate that this framework is capable of identifying “latent pressure” as a leading indicator of failure before a decline in academic performance occurs. The synthesis of this study confirms that the integration of non-academic variables enhances the model’s transparency and provides a more meaningful and targeted interpretation of risk factors. In conclusion, this framework provides a theoretical foundation for educational institutions to transition from reactive evaluation to a system of personalized, proactive interventions. The implementation of this model is expected to improve student retention through earlier and more targeted risk mitigation.
Pengembangan Responsive Agentic AI-Enhanced Learning Framework untuk Meningkatkan Daya Saing Startup Edtech Hani Irmayanti; Eddy Soeryanto Soegoto; Tri Utomo Wiganarto
Jurnal Manajemen Informatika, Sistem Informasi dan Teknologi Komputer (JUMISTIK) Vol 5 No 1 (2026): Jurnal Manajemen Informatika, Sistem Informasi dan Teknologi Komputer (JUMISTIK)
Publisher : STMIK Amika Soppeng

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70247/jumistik.v5i1.331

Abstract

Advances in artificial intelligence in education open up opportunities for more adaptive and personalized learning. However, EdTech startups still face challenges in the form of high customer churn rates and low user loyalty, which impact business competitiveness. This study proposes the Responsive Agentic AI-Enhanced Learning Framework as a conceptual artifact that integrates Agentic AI capabilities with adaptive learning. The method used is Design Science Research (DSR), which includes problem identification, solution goal setting, design and development, demonstration, logical evaluation, and communication. The objective of this research is to identify the essential elements of Agentic AI in the development of adaptive learning models for EdTech startups. The research results identified six main components, Agentic AI Capability, Adaptive Learning, Personalized Learning Experience, User Engagement, User Loyalty, and Competitive Advantage. Logical evaluation showed that the resulting framework possesses good relevance, consistency, completeness, and usefulness. The study concluded that the integration of Agentic AI has the potential to increase user loyalty while supporting the sustainable competitiveness of EdTech startups.
Pelatihan Aplikasi Olah Data Penduduk untuk Meningkatkan Efektivitas Pengelolaan Data Penduduk di Desa Cihanjuang Bandung Barat Sri Nurhayati; Hani Irmayanti; Mochamad Fajar Wicaksono; Hidayat; Fariz Nugraha; Aditya Wandani
Jurnal Pengabdian Teknik dan Ilmu Komputer (Petik) PETIK : Jurnal Pengabdian Teknik dan Ilmu Komputer Vol. 5 No. 2 Desember 2025
Publisher : Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/petik.v5i2.17250

Abstract

Kebutuhan akan pengolahan data penduduk yang efisien menjadi semakin penting terutama bagi pengurus RT/RW yang berperan langsung dalam pelayanan masyarakat di tingkat lingkungan. Saat ini, pengelolaan data penduduk di tingkat RT/RW masih dilakukan secara manual melalui pencatatan dalam buku besar atau spreadsheet sederhana, sehingga rawan kesalahan dan kurang efisien. Kegiatan pengabdian ini bertujuan untuk meningkatkan efektivitas pengelolaan data penduduk melalui penerapan aplikasi pengolahan data berbasis web. Metode pelaksanaan meliputi penyampaian materi secara interaktif, praktik langsung penggunaan aplikasi, pendampingan teknis, serta evaluasi menggunakan kuesioner skala Likert yang diisi oleh lima peserta pelatihan. Hasil evaluasi menunjukkan tingkat kepuasan yang sangat tinggi dengan skor rata-rata 4,80 dari 5 (96%), yang menandakan bahwa pelatihan dan implementasi aplikasi mampu meningkatkan efisiensi dan akurasi pengelolaan data penduduk. Berdasarkan hasil tersebut, kegiatan ini disimpulkan berhasil mencapai tujuan dan direkomendasikan untuk dilanjutkan melalui pengembangan fitur lanjutan serta pendampingan berkala.
Model Blockchain Pada Rekam Medis Terdistribusi : Tinjauan Ontologi dan Epistemologi  Terhadap Integritas Data Sufa Atin; Hani Irmayanti; Andri Heryandi; Agus Nursikuwagus; Usep Mohamad Ishaq; Andrias Darmayadi
Komputa : Jurnal Ilmiah Komputer dan Informatika Vol 15 No 1 (2026): Komputa : Jurnal Ilmiah Komputer dan Informatika
Publisher : Program Studi Teknik Informatika - Universitas Komputer Indonesia (UNIKOM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputa.v15i1.18639

Abstract

Data integrity is a fundamental epistemological foundation for ensuring the validity and reliability of clinical knowledge. However, conventional Electronic Medical Record (EMR) systems still face structural and trust-related challenges due to centralized data management. This approach often leads to information fragmentation, limited interoperability among healthcare facilities, and low patient autonomy in controlling access to medical data. Philosophically, these conditions expose the limitations of an epistemology grounded in single authority, which is vulnerable to data manipulation, opacity, and centralized failures.This study examines, from a philosophical perspective, the role of distributed EMR systems based on permissioned blockchain—particularly Hyperledger Fabric—in strengthening guarantees of medical record data integrity. The research applies a philosophical conceptual analysis combined with a systematic literature review on EMR systems, blockchain technology, and data integrity. The analysis highlights the epistemological limitations of conventional EMRs, the defining features of permissioned blockchain architectures, and the ontological and epistemological implications of distributed consensus mechanisms. The findings indicate that, ontologically, blockchain redefines medical record data as distributed truth that is persistent and resistant to manipulation. Epistemologically, trust shifts from single authority to cryptographic validation and collective consensus, marking a paradigm shift in the legitimation of clinical knowledge in the digital era.
Co-Authors Adam Mukharil Bachtiar Aditya Wandani Agus Nursikuwagus Andri Heryandi Andrias Darmayadi Bobi Kurniawan Soegoto Eddy Soeryanto Soegoto Ednawati Rainarli Fariz Nugraha Hidayat Hidayat Hidayat Maulana, Hanhan Riani Lubis Rio Yunanto Sri Nurhayati Sri Supatmi Sufa Atin Tri Utomo Wiganarto Usep Mohamad Ishaq Wicaksono, Mochamad Fajar Zainal Arifin Hasibuan