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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Pengabdian Kepada Masyarakat (Indonesian Journal of Community Engagement) Jurnal CoreIT Syntax Literate: Jurnal Ilmiah Indonesia JPP IPTEK (Jurnal Pengabdian dan Penerapan IPTEK) Jurnal Nasional Komputasi dan Teknologi Informasi Jesya (Jurnal Ekonomi dan Ekonomi Syariah) TELEKONTRAN: Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan Majalah Ilmiah UNIKOM Infotronik : Jurnal Teknologi Informasi dan Elektronika JPKMI (Jurnal Pengabdian Kepada Masyarakat Indonesia) REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat Jurnal Digit : Digital of Information Technology Journal of Computer, Electronic, and Telecommunication (COMPLETE) Jurnal Pengabdian Masyarakat Indonesia Asean Journal of Science and Engineering (AJSE) International Journal of Informatics, Information System and Computer Engineering (INJIISCOM) International Journal of Research and Applied Technology (INJURATECH) Jurnal Locus Penelitian dan Pengabdian IJCOSIN : Indonesian Journal of Community Service and Innovation Inkubis: Jurnal Ekonomi dan Bisnis Economics and Business Journal Eduvest - Journal of Universal Studies Jurnal Pengabdian Masyarakat Tekno ASEAN Journal for Science and Engineering in Materials Technologia Journal Big Data Analytics and Data Science Cyber Security and Network Management Jurnal Nasional Komputasi dan Teknologi Informasi Curricula: Journal of Curriculum Development
Bobi Kurniawan, Bobi
Universitas Komputer Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Neuroscience Public Health Social Sciences Transportation Other

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Analysis of the Effectiveness of Patient Flow Management in Improving Service Speed Hermawan, Randy; Umi Narinawati; Bobi Kurniawan
Jurnal Locus Penelitian dan Pengabdian Vol. 5 No. 3 (2026): JURNAL LOCUS: Penelitian dan Pengabdian
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v5i3.5557

Abstract

Speed of service is a vital indicator of the quality of health services, but the imbalance between surge in patient visits and facility capacity often leads to bottlenecks and long wait times. This study aims to analyze the effectiveness of the implementation of Patient Flow Management in improving service speed and operational efficiency in health facilities. The study used a quantitative descriptive approach through field observation (time and motion study), operational data measurement, and satisfaction survey at a private hospital during the period from July to September 2025. The results showed a significant impact post-implementation, where the average total waiting time was reduced by 41.5%, the doctor's workload ratio became more balanced from 1:38 to 1:26, and there was an increase in patient satisfaction scores by 30%. This efficiency is achieved through an effective strategy of digitizing the queue system and redistributing triage loads. In conclusion, Patient Flow Management has proven to be effective as an operational solution to unravel service density, but its success relies heavily on the integration of information systems and management support in adapting staff work cultures.
Konseptualisasi Ethno-Prompting: Strategi Humanisasi Layanan Kesehatan Digital Berbasis Kearifan Lokal Sunda Zaenudin, Aditya Rifandi; Narinawati, Umi; Kurniawan, Bobi
Jurnal Locus Penelitian dan Pengabdian Vol. 5 No. 3 (2026): JURNAL LOCUS: Penelitian dan Pengabdian
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v5i3.5559

Abstract

Latar belakang: Perkembangan layanan kesehatan digital berbasis kecerdasan buatan (Artificial Intelligence/AI) menghadirkan efisiensi dan aksesibilitas yang tinggi, namun di sisi lain menimbulkan tantangan berupa berkurangnya aspek humanisasi dan sensitivitas budaya dalam interaksi antara sistem dan pengguna. Di Indonesia, khususnya pada masyarakat Sunda yang menjunjung tinggi nilai kesantunan, empati, dan harmoni sosial, pendekatan layanan kesehatan digital yang bersifat generik berpotensi menimbulkan jarak psikologis serta menurunkan kepercayaan pengguna. Tujuan: Artikel ini bertujuan untuk mengembangkan konseptualisasi ethno-prompting sebagai strategi humanisasi layanan kesehatan digital berbasis kearifan lokal Sunda. Metode: Metode yang digunakan adalah pendekatan konseptual-deskriptif melalui kajian literatur interdisipliner yang mencakup etnografi Sunda, human-centered AI, komunikasi kesehatan, dan desain interaksi digital. Hasil: Hasil kajian menunjukkan bahwa ethno-prompting dapat dipahami sebagai teknik perancangan prompt AI yang mengintegrasikan nilai-nilai lokal Sunda seperti someah, silih asah, silih asih, dan silih asuh ke dalam struktur bahasa, gaya komunikasi, dan logika respons sistem digital. Pendekatan ini berpotensi meningkatkan rasa kedekatan emosional, kepercayaan, serta penerimaan masyarakat terhadap layanan kesehatan digital. Kesimpulan: Artikel ini berkontribusi pada pengembangan model konseptual layanan kesehatan digital yang lebih inklusif, kontekstual, dan berorientasi pada nilai budaya lokal.
Energy-Harvesting Materials for Autonomous Smart Farming Sensors: A Literature Review Riska Endah Septiani; Bobi Kurniawan; Senny Luckyardi; Eddy Soeryanto Soegoto; Dostnazar Ximmataliyev; Mohd. Kamir Yusof; Tomas Chochole; Hewa Majeed Zangana
ASEAN Journal for Science and Engineering in Materials Vol 6, No 1 (2027): AJSEM: Volume 6, Issue 1, March 2027
Publisher : Bumi Publikasi Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The integration of the Internet of Things (IoT) in smart farming is hindered by limited battery life and the environmental impact of electronic waste. This review evaluates the development of energy-harvesting materials as a solution to power autonomous agricultural sensors. Through a systematic review, this paper analyzes three main mechanisms: Organic Photovoltaic (OPV), triboelectric nanogenerator/piezoelectric nanogenerator (TENG/PENG), and thermoelectric generator (TEG). Flexible polymers for TENGs and perovskite-based solar cells have the highest potential in addressing canopy shading and outdoor weather challenges. However, material toxicity and degradation due to UV and humidity remain major obstacles. Future research must prioritize biocompatible materials and hybrid systems to ensure the sustainability of precision agriculture.
IMPLEMENTASI METODE K-NEAREST NEIGHBOR (K-NN) DAN FORWARD CHAINING UNTUK MONITORING TUMBUH KEMBANG BALITA Petrus Sokibi Sukanto; Rifqi Fahrudin; Ridho Taufiq Subagio; Ednawati Rainarli; Adam Mukharil Bachtiar; Hanhan Maulana; Bobi Kurniawan
Jurnal Digit : Digital of Information Technology Vol 16, No 1 (2026)
Publisher : Universitas Catur Insan Cendekia (CIC) Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51920/jd.v16i1.460

Abstract

Pelayanan pelaporan hasil pemeriksaan balita di Posyandu seringkali menghadapi kendala akurasi dan keterlambatan informasi, yang menyulitkan kader serta orang tua dalam memantau tumbuh kembang anak secara efektif. Penelitian ini bertujuan untuk merancang bangun model sistem informasi berbasis website yang mampu menentukan status gizi dan perkembangan motorik balita secara akurat. Sistem ini mengintegrasikan dua metode kecerdasan buatan: K-Nearest Neighbor (K-NN) untuk klasifikasi status gizi berdasarkan antropometri, dan Forward Chaining untuk mendeteksi tahap perkembangan kemampuan motorik balita. Pengembangan model perangkat lunak dilakukan menggunakan framework CodeIgniter dengan pemodelan sistem menggunakan Unified Modelling Language (UML). Hasil penelitian menunjukkan bahwa model website ini memiliki performa yang sangat baik dengan tingkat akurasi sebesar 85,71% untuk penentuan status gizi melalui metode K-NN, dan tingkat akurasi mencapai 100% untuk identifikasi perkembangan motorik menggunakan Forward Chaining. Model ini diharapkan dapat menjadi alat monitoring yang handal bagi tenaga kesehatan dan orang tua. Sebagai pengembangan di masa depan, disarankan penambahan fitur switch akun bagi orang tua yang memiliki lebih dari satu balita untuk mempermudah manajemen data perkembangan anak secara personal.Kata kunci: Posyandu, Status Gizi, Perkembangan Balita, K-Nearest Neighbor, Forward Chaining.
ANALISIS KINERJA FUZZY LOGIC DALAM SISTEM PENETASAN TELUR OTOMATIS DENGAN FITUR MONITORING BERBASIS TELEGRAM BOT Rifqi Fahrudin; Ridho Taufiq Subagio; Petrus Sokibi; Zainal Arifin Hasibuan; Bobi Kurniawan; Sri Supatmi
Jurnal Digit : Digital of Information Technology Vol 16, No 1 (2026)
Publisher : Universitas Catur Insan Cendekia (CIC) Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51920/jd.v16i1.459

Abstract

Temperatur dan kelembaban merupakan dua faktor utama yang menentukan keberhasilan penetasan telur. Berdasarkan referensi, temperatur optimal dalam mesin tetas yaitu 35-39°C dan kelembaban optimal yaitu 40%- 56%RH. Namun kebanyakan mesin penetas telur konvensional yang ada dipasaran hanya memperhitungkan satu faktor saja yaitu temperatur. Untuk itulah digunakan system fuzzy logic control agar kestabilan suhu dapat terjaga. Dengan menggunakan nodemcu sebagai pengontrolan utama, hasil pembacaan sensor akan diproses sesuai dengan Algortitma Fuzzy Logic yang telah ditanamkan dalam minimum sistem. Lalu akan disesuaikan dengan Set Point yang telah ditetapkan. Output dari alat berupa sinyal digital yang akan mengontrol elemen fan cooller berupa kipas 5V DC. Logika fuzzy akan berjalan sesuai suhu ruangan jika suhu didalam ruangan lebih dari 39°C kipas akan berjalan sesuai output dari fuzzy rulebase. Jika suhu melebihi setting point yaitu 37-39°C maka lampu pijar akan mati, dan akan menyala kembali jika suhu kurang dari 38°C. Dalam hal ini semua aktivitas dalam ruangan penetas telur dalam di monitoring melalui telegram.  Hasil pengujian menunjukkan bahwa sistem kendali logika fuzzy berbasis parameter suhu dan kelembapan mampu menghasilkan keluaran yang presisi. Sebagai contoh, pada kondisi suhu 32°C dan kelembapan 60%, sistem secara otomatis mengaktifkan lampu dan mengatur kecepatan kipas sebesar 50% (Level 1) untuk menjaga stabilitas kondisi ruangan.Kata kunci: fuzzy logic control, suhu, kelembaban, NodeMCU, Telegram.
Transforming the Global Aquaculture Supply Chain through the Integration of Artificial Intelligence and Big Data for Overcome Asymmetry Information Hernalom Sitorus; Zaenal Arifin Hasibuan; Bobi Kurniawan; Sri Supatmi
Big Data Analytics and Data Science Vol. 1 No. 2 (2026): June: Big Data Analytics and Data Science
Publisher : Asosiasi Pengelola Jurnal Informatika dan Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66472/bdas.v1i2.443

Abstract

The global aquaculture sector faces structural challenges in the form of information asymmetry that causes a misalignment between production and market demand. The still-dominant production-driven paradigm leads to supply chain inefficiencies, low transparency, and limited traceability. This research aims to develop an information system integration model based on Artificial Intelligence (AI) and Big Data to transform the supply chain into a market-driven one. The research uses the Design Science Research (DSR) method, which includes needs analysis, data integration architecture design, development of Machine Learning and Deep Learning-based predictive models, and evaluation through prototype implementation. Expected outcomes include a data integration architecture, a supply-demand prediction model, and an AI-based traceability framework. This research contributes to improving the efficiency, transparency, and global competitiveness of the aquaculture sector.
Machine Learning Model Development for Adaptive Recruitment Recommendation System Based on Portfolio Analysis and Professional Network Rizki Adha; Zainal Arifin Hasibuan; Bobi Kurniawan; Sri Supatmi
Cyber Security and Network Management Vol. 1 No. 2 (2026): May: Cyber Security and Network Management
Publisher : Asosiasi Pengelola Jurnal Informatika dan Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66472/cybernet.v1i2.410

Abstract

The rapid advancement of digital transformation and artificial intelligence has significantly reshaped recruitment processes within organizations. Conventional recruitment systems predominantly rely on curriculum vitae screening and keyword-based matching, which often fail to capture contextual competencies and relational professional evidence. This study proposes the development of an adaptive machine learning–based recruitment recommendation system that integrates professional portfolio analytics and professional network structures within a unified graphbased framework. The proposed approach adopts a Research and Development (R&D) methodology under a data-driven system development paradigm. Candidate data from an existing recruitment system are integrated with external professional data sources, including GitHub and LinkedIn. A heterogeneous graph representation is constructed to model relationships among candidates, skills, projects, and organizations. Graph Neural Networks (GNN) are employed to learn contextual relational embeddings, while a Gradient Boosting Machine (GBM) is utilized for candidate job suitability classification. The proposed framework is designed to enhance objectivity, contextual awareness, and adaptability in recruitment decision-making. By leveraging multi-source digital professional evidence and incorporating an adaptive learning mechanism, the system aims to reduce skills mismatch and improve alignment between candidate competencies and evolving industry requirements. Future work will focus on empirical validation using real-world recruitment datasets and the integration of fairness-aware and explainable AI mechanisms to ensure transparency and ethical compliance.
Digital Emotional Intelligence: Transforming Emotional Intelligence in Shaping Digital Empathic Leadership Asri fianti Asmar; Umi Narimawati; Bobi Kurniawan
Eduvest - Journal of Universal Studies Vol. 6 No. 6 (2026): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v6i6.52783

Abstract

The world is currently experiencing accelerated digitalization, a transformation that is changing the culture of work, communication, and leadership. Consequently, the emotional touch in leadership is slowly declining. Many leaders possess technical digital acumen, but fail to build emotional bonds in the digital space, often resulting in a rigid work culture that leads to misunderstandings in coordination. Conversely, conventional leadership, which relies on physical presence, is now experiencing disorientation. Leaders who are emotionally intelligent in the real world are not necessarily able to manifest that empathy through digital platforms. This research examined how a leader can validate emotions without physical presence and detect emotional distress in the team through digital communication patterns. The aim of this research is to formulate a leadership model, Digital Emotional Intelligence, as a transformation of emotional intelligence, an absolute prerequisite for empathetic leadership in the digital era. Using a qualitative comparative case study method, data were collected through literature study on Travis Kalanick (Uber) and Mark Zuckerberg (Meta) and analyzed based on Goleman's emotional intelligence theory. The findings reveal that Kalanick failed to transform his emotional intelligence, leading to his downfall, while Zuckerberg successfully transformed by admitting mistakes and recruiting high-EQ leaders. This study formulates DEQ as the blend of traditional and modern skills in the digital era, recommending a paradigm shift from Digital Command to Digital Connection, with practical applications including empathetic grammar, emojis in virtual chats, and emotionally-attuned performance assessments.
Adaptive Human Resource Management Strategies during Global Crises in the Tourism Industry Mari Maryati; Rita Sari Puspita; Umi Narimawati; Bobi Kurniawan
Economics and Business Journal (ECBIS) Vol. 4 No. 2 (2026): January
Publisher : PT. Maju Malaqbi Makkarana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47353/ecbis.v4i2.289

Abstract

The uncertainty surrounding the global economy has created existential challenges for the tourism industry, necessitating a Human Resource Management (HRM) paradigm that goes beyond traditional administrative approaches. This study aims to explore adaptive HRM strategies in the face of the global crisis, with a particular focus on the highly vulnerable tourism and hospitality industries.This study uses the PRISMA framework to conduct a systematic literature review of 26 peer-reviewed articles published between 2023 and 2025, sourced from Google Scholar. The findings indicate that effective adaptive strategies require the holistic integration of e-HRM and Artificial Intelligence (AI) to enhance operational agility, the implementation of GHRM to drive efficiency and employee retention, and the development of Agile Leadership to navigate uncertainty. Furthermore, this study highlights the crucial role of prioritizing employee well-being and Psychological Capital (PsyCap), particularly in emerging economies where social safety nets may be limited. This research provides a comprehensive framework for HR practitioners in the tourism sector to formulate policies that balance business continuity with human-centric support in challenging times.
A Systematic Literature Review on Intelligent Tutoring Systems for Outcome-Based Education in Higher Education Hasbu Naim Syaddad; Andi Agus Salim; Luki Ishwara; Zainal Arifin Hasibuan; Bobi Kurniawan; Sri Supatmi
Technologia Journal Vol. 3 No. 1 (2026): Technologia Journal-February
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/pd6g0a26

Abstract

Penerapan Outcome-Based Education (OBE) di pendidikan tinggi menuntut pendekatan pembelajaran yang mampu mendukung pencapaian capaian pembelajaran dan kompetensi mahasiswa secara terukur. Intelligent Tutoring Systems (ITS) merupakan sistem pembelajaran berbasis kecerdasan buatan yang bersifat adaptif dan personal, sehingga berpotensi mendukung implementasi OBE. Namun, temuan empiris terkait penerapan dan efektivitas ITS dalam konteks OBE di pendidikan tinggi masih tersebar dan belum tersintesis secara sistematis. Penelitian ini bertujuan untuk mengkaji peran, karakteristik, dan efektivitas ITS dalam mendukung outcome-based education di pendidikan tinggi. Penelitian ini menggunakan metode systematic literature review dengan mengacu pada pedoman PRISMA 2020. Pencarian literatur dilakukan melalui basis data Scopus terhadap artikel jurnal berbahasa Inggris yang dipublikasikan pada periode 2018–2025. Dari proses seleksi yang ketat, sebanyak 56 artikel jurnal memenuhi kriteria inklusi dan dianalisis menggunakan pendekatan sintesis naratif. Hasil kajian menunjukkan bahwa ITS umumnya dibangun atas komponen inti berupa model peserta didik, model domain, model pedagogik, dan antarmuka tutor. Teknik kecerdasan buatan yang banyak digunakan meliputi machine learning, rule-based systems, Bayesian networks, dan natural language processing. Sebagian besar studi melaporkan bahwa ITS berdampak positif terhadap kinerja akademik, penguasaan kompetensi, dan keterlibatan mahasiswa. Meskipun demikian, penelitian lanjutan masih diperlukan untuk mengevaluasi dampak jangka panjang dan integrasi ITS dalam kerangka OBE di tingkat institusi.  
Co-Authors Abd. Rasyid Syamsuri Adam Mukharil Bachtiar Agus Kurniawan Agus Riyanto Agus Riyanto Ahiase, Godwin Ahmad Budi Sulistioyuwono Alviana, Sopian Andi Agus Salim Andi Agus Salim Andrean George Wibisono Ari Prayoga Asri Fianti Asmar Budi Hartono Budi Herdiana Burhanuddin Burhanuddin Buston Kholik Dostnazar Ximmataliyev Eddy Soeryanto Soegoto Ednawati Rainarli Eko Budi Setiawan Firdaus, Dony Waluya Harjono, Risqi Windu Hartono, Rodi Harun AS Hasbu Naim Syaddad Hermawan, Randy Hernalom Sitorus Hewa Majeed Zangana Irawan Afrianto Jana Utama, Jana Leslie Hendric Spits Warnars, Harco Luki Ishwara Mari Maryati Martin Agusta Maulana, Hanhan Meyliana, M Meyliana, M. Mohd. Kamir Yusof Muhamad Nawawi Muhammad Aria Rajasa Pohan Muhammad Helmi Narinawati, Umi Novia Purnamasari Petrus Sokibi Petrus Sokibi Sukanto Raeni Dwisanty Resviani, Devi Ridho Taufiq Subagio Rifqi Fahrudin Riska Endah Septiani Rita Sari Puspita Rizki Adha Rizki Dwi Nugraha Santy, Raeny Dwi Senny Luckyardi Sopian Alviana Sopian Alviana Sopian Alviana Sri Supatmi Suharjo, Bambang Syaddad, Hasbu Naim Tarso Tarso Tomas Chochole Tri Rahajoeningroem Umi Narimawati Umi Narimawati Umi Narinawati Umi Nerinawati Warnars, Harco Leslie Hendric Spits Wildan Zulfikar Djunaedi Zaenal Arifin Hasibuan Zaenudin, Aditya Rifandi Zainal Arifin Hasibuan zulkifli, ridwan