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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 Journal of Islamic Civilization JPKMI (Jurnal Pengabdian Kepada Masyarakat Indonesia) REKA ELKOMIKA: Jurnal Pengabdian kepada Masyarakat 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 Jurnal Sistem Informasi dan Bisnis Cerdas Economics and Business Journal Jurnal Pengabdian Masyarakat Tekno Technologia Journal
Bobi Kurniawan, Bobi
Universitas Komputer Indonesia
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Analysis of Heart Disease Risk Factors Based on Clinical Data Using Descriptive Correlation and Logistic Regression Harjono, Risqi Windu; Afrianto, Irawan; Kurniawan, Bobi; Resviani, Devi
International Journal of Research and Applied Technology (INJURATECH) Vol. 5 No. 1 (2025): Vol 5 No 1 (2025)
Publisher : Universitas Komputer Indonesia

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Abstract

Heart disease is one of the major causes of death, often progressing without any visible signs of the onset of the disease, thereby warranting the need for a data-intensive solution in support of its early screening. This paper proposes an analysis of risk factors for heart diseases using clinical data through the application of descriptive statistics, correlation analysis, and logistic regression. The proposed clinical data for analysis is a secondary clinical dataset that contains information about 918 patients with 12 numerical and categorical variables, with one target or dependent variable: heart disease. Descriptive statistics were employed to reveal information about the characteristics of the provided clinical data, Pearson correlation analysis, as well as Chi-Square tests, were used to examine the association of heart clinical parameters. A logistic regression analysis was employed as the core solution for determining the risk of heart diseases. This paper showed that among 918 patients, 55.3% were diagnosed with heart diseases, with a peak among middle-aged patients. Pearson correlation analysis revealed that no numerical variables were strongly correlated with heart diseases, but among the categorical variables, ChestPainType, ExerciseAngina, and ST_Slope were significantly related to heart diseases. An accuracy of 88.59% with a recall value of 0.93 for heart diseases classes was achieved by using logistic regression analysis. This paper clearly shows that an interpretive approach through statistics could potentially provide support for developing a decision support system for an early heart disease screen for cardiac patients.
The Role Of The Borsom System In Shaping The Relationship Between Income And Welfare Of Rural Palm Sugar Artisans: An Islamic Economics Perspective Purnamasari, Novia; Narimawati, Umi; Kurniawan, Bobi; Riyanto, Agus; Dwisanty, Raeni
Jesya (Jurnal Ekonomi dan Ekonomi Syariah) Vol 9 No 1 (2026): Artikel Riset Januari 2026
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi Al-Washliyah Sibolga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36778/jesya.v9i1.2559

Abstract

This study examines the mechanisms through which the borsom system shapes the relationship between income and economic welfare among rural palm sugar artisans from an Islamic economic perspective. Using a qualitative approach, data were collected through in-depth interviews, field observations, and documentation involving palm sugar artisans in Banyuwangi Village, Sukabumi Regency. The findings indicate that increased income does not automatically translate into improved household welfare, as most earnings are absorbed by basic consumption needs and production continuity. In conditions of limited access to infrastructure, markets, and formal Islamic financial institutions, the borsom system emerges as an informal economic institution embedded in patron–client relations between artisans and collectors. From an Islamic economic perspective, borsom functions as a short-term economic buffer grounded in the value of mutual assistance (ta‘āwun), enabling production stability and household survival. However, prolonged reliance on this system reinforces structural dependence, weakens bargaining power, and constrains the achievement of sustainable welfare (falah). This study contributes by integrating rural sociological analysis with Islamic economic principles to explain how informal institutions simultaneously support and limit rural economic welfare. Strengthening inclusive Islamic financial institutions and diversifying rural livelihoods are essential for promoting more equitable and sustainable welfare outcomes.
PREFERENSI EMOSIONAL PENGGUNA PEREMPUAN PADA DESAIN UI WEBSITE SISTEM INFORMASI AKADEMIK BERBASIS KANSEI ENGINEERING Popon Dauni; Damayanti, Sri Erina; Rachman, Rizal; Hasibuan, Zainal Arifin; Kurniawan, Bobi; Supatmi , Sri
Jurnal Sistem Informasi dan Bisnis Cerdas Vol. 19 No. 1 (2026): Februari 2026
Publisher : Program Studi Sistem Informasi, Fakultas Ilmu Komputer, UPN "Veteran" Jawa Timur

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Abstract

Keberhasilan sebuah website ditentukan oleh banyak hal, salah satunya adalah desain User Interface (UI) atau antar muka tampilan website. Apabila desain tampilan website memiliki kualitas yang baik maka pengguna dan pengunjung web akan memiliki kepuasan pengalaman berselancar dalam website yang ditampilkan. Penelitian ini membahas tentang analisis preferensi emosional pengguna perempuan terhadap desain User Interface (UI) website sistem informasi akademik. Metodologi pada penelitian ini menggunakan Kansei Engineering Type I. Metodologi ini memiliki langkah-langkah proses penelitian hingga menghasilkan produk baru sesuai dengan konsep emosi pengunjung web. Sebanyak 20 Kansei Word terpilih menjadi data yang akan diproses pada penelitian yang merupakan kata-kata yang berhubungan dengan penampilan sebuah desain website. Spesimen yang digunakan sebanyak 10 spesimen contoh website Sisstem Informasi Akademik. Beberapa spesimen website yang dipilih adalah website terpilih yang memiliki desain tampilan yang berbeda antara website satu dengan website yang lainnya. Sebanyak 30 responden yang merupakan mahasiswa perempuan ikut berpartisipasi dalam penelitian ini. Responden ini terpilih ikut berpartisipasi dilihat berdasarkan pengalaman dalam berselancar pada sebuah website. Hasil dari penelitian ini adalah berupa matrik hasil analisis preferensi emosional pengguna perempuan pada desain UI website Sistem Informasi Akademik. Kebaruan penelitian ini terletak pada penerjemahan hasil analisis Kansei Engineering pengguna perempuan hingga ke dalam matriks rekomendasi atribut desain UI Sistem Informasi Akademik yang bersifat aplikatif. Hasil penelitian ini dapat digunakan sebagai acuan praktis dalam perancangan antarmuka sistem informasi akademik berbasis preferensi emosional pengguna.
INTEGRASI ROBOTIC PROCESS AUTOMATION DAN REINFORCEMENT LEARNING UNTUK NOTIFIKASI CERDAS DI LINGKUNGAN PENDIDIKAN: TINJAUAN LITERATUR SISTEMATIS : INTEGRATION OF ROBOTIC PROCESS AUTOMATION AND REINFORCEMENT LEARNING FOR SMART NOTIFICATIONS IN EDUCATIONAL ENVIRONMENTS: A SYSTEMATIC LITERATURE REVIEW Irmayanti, Hani; atin, Sufa; Heryandi, Andri; Supatmi, Sri; Hasibuan, Zainal Arifin; Kurniawan, Bobi
Jurnal Sistem Informasi dan Bisnis Cerdas Vol. 19 No. 1 (2026): Februari 2026
Publisher : Program Studi Sistem Informasi, Fakultas Ilmu Komputer, UPN "Veteran" Jawa Timur

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Abstract

Penelitian ini memetakan tren integrasi Robotic Process Automation (RPA) dan Reinforcement Learning (RL) untuk mengatasi information overload pada sistem notifikasi cerdas. Menggunakan metode Systematic Literature Review (SLR) dengan pedomanPRISMA pada basis data Scopus, 132 artikel relevan disaring dari 2.259 dokumen awal dalam rentang waktu 2021–2025. Analisis bibliometrik menunjukkan pertumbuhan publikasi yang pesat (Annual Growth Rate 74,16%) dengan dominasi jurnal IEEE Access.Pertumbuhan ini didukung oleh tingginya Kolaborasi Internasional yang mencapai 43,94%, menunjukkan cakupan global yang luas dan kualitas riset yang terjamin. Secara tematik, Deep Learning teridentifikasi sebagai motor utama, di mana RL berfungsi sebagai otak adaptif untuk optimasi keputusan. Sementara RPA berperan sebagai eksekutor deterministik, struktur tematik menempatkan Robotics dan Automation pada kuadran Emerging Themes, mengindikasikan bahwa fokus pengembangan utama masih padaalgoritma, bukan implementasi teknis RPA itu sendiri. Mengingat adanya celah riset pada aspek keamanan model (Trustworthiness) dan tantangan infrastruktur desentralisasi (Edge Computing), studi ini merekomendasikan pengembangan arsitektur Trustworthy AI serta integrasi Edge Computing untuk mendukung skalabilitas dan ketahanan sistem waktu nyata. Sebagai kontribusi ilmiah, temuan ini menyediakan landasan konseptual bagi pengembangan sistem notifikasi otonom berbasis RPA-RL yang tidak hanya adaptif, tetapi juga skalabel dan terpercaya untuk implementasi praktis di lingkungan real-time.
Profil Literasi Digital Mahasiswa Berdasarkan Empat Pilar Kominfo Menggunakan Algoritma K-Means Nawawi, Muhamad; Zulkifli, Ridwan; Firdaus, Dony Waluya; Hasibuan, Zainal Arifin; Kurniawan, Bobi; Supatmi, Sri
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 9, No 1 (2026): Februari 2026
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v9i1.10375

Abstract

Abstrask - Transformasi digital menuntut mahasiswa memiliki literasi digital yang tidak hanya mencakup kemampuan teknis, tetapi juga kesadaran etika dan keamanan digital. Penelitian ini bertujuan untuk memetakan tingkat literasi digital mahasiswa serta mengidentifikasi karakteristik klaster menggunakan algoritma K-Means. Penelitian menggunakan pendekatan kuantitatif dengan metode survei terhadap mahasiswa, berdasarkan empat dimensi literasi digital, yaitu digital skills, digital culture, digital ethics, dan digital safety. Hasil analisis K-Means menunjukkan terbentuknya dua klaster utama, yaitu klaster literasi digital matang (Cluster 1) dan klaster literasi digital belum matang (Cluster 2). Cluster 1 memiliki nilai rata-rata literasi digital sebesar 4,57, sedangkan Cluster 2 sebesar 3,88. Dimensi dengan perbedaan paling signifikan antar klaster adalah digital safety (selisih 0,77) dan digital ethics (selisih 0,72). Analisis karakteristik responden menunjukkan bahwa mahasiswa angkatan aktif (2022–2024) lebih banyak berada pada Cluster 1 (hingga 67%), dibandingkan mahasiswa baru (2025) dan mahasiswa over study (2021) yang didominasi Cluster 2. Selain itu, mahasiswa luar Jawa Barat memiliki proporsi literasi digital matang yang lebih tinggi (64%) dibandingkan mahasiswa asal Jawa Barat (51%). Temuan ini menegaskan bahwa literasi digital mahasiswa bersifat dinamis dan kontekstual, sehingga penguatan literasi digital di perguruan tinggi perlu difokuskan pada aspek etika dan keamanan digital secara berkelanjutan.Kata kunci: literasi digital; mahasiswa; K-Means clustering; digital ethics; digital safety; Abstract - Digital transformation demands that students possess digital literacy encompassing not only technical skills but also ethical awareness and digital security. This study aims to map the level of digital literacy of students and identify cluster characteristics using the K-Means algorithm. The study employed a quantitative approach with a student survey method, based on four dimensions of digital literacy: digital skills, digital culture, digital ethics, and digital safety. The results of the K-Means analysis indicate the formation of two main clusters: a mature digital literacy cluster (Cluster 1) and an immature digital literacy cluster (Cluster 2). Cluster 1 has an average digital literacy score of 4.57, while Cluster 2 has an average digital literacy score of 3.88. The dimensions with the most significant differences between clusters are digital safety (difference 0.77) and digital ethics (difference 0.72). An analysis of respondent characteristics shows that active students (2022–2024) are predominantly in Cluster 1 (up to 67%), compared to new students (2025) and overstudy students (2021), who are predominantly in Cluster 2. Furthermore, students from outside West Java have a higher proportion of mature digital literacy (64%) than students from West Java (51%). This finding confirms that student digital literacy is dynamic and contextual, thus strengthening digital literacy in higher education requires a continuous focus on digital ethics and security.Keywords: digital literacy; students; K-Means clustering; digital ethics; digital safety;
Adaptive Human Resource Management Strategies during Global Crises in the Tourism Industry Maryati, Mari; Puspita, Rita Sari; Narimawati, Umi; Kurniawan, Bobi
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.
Computer Vision Analysis for Traffic Monitoring and Road Safety in Smart City Concept Ishwara, Luki; Syaddad, Hasbu Naim; Salim, Andi Agus; Kurniawan, Bobi; Bachtiar, Adam Mukharil; Rainarli, Ednawati
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/vk562576

Abstract

Rapid urban growth and rising traffic complexity require Smart City solutions that move beyond passive CCTV toward intelligent, real-time traffic management. This study examines how computer vision–based analytics contribute to road safety when integrated into an Intelligent Transportation System (ITS). A quantitative quasi-experimental design was applied across multiple intersections using a 12-month before–after window. Data were collected from video analytics (vehicle and pedestrian detection, tracking, violations, road conditions), adaptive signal logs, crash and injury records, near-miss indicators, and contextual variables such as weather and traffic volume. Analysis combined perception validation (mAP, tracking accuracy), time-series operational assessment, and Difference-in-Differences modeling to estimate safety impacts. Results show high perception reliability (mAP > 0.85) and significant operational improvements, including a 33% reduction in waiting time and 35% shorter queues. More importantly, red-light violations decreased by 39%, near-miss events by 45%, crash frequency by 42%, and severity index by 37%. The findings indicate a causal pathway from vision-based perception to adaptive control and enforcement, leading to measurable safety gains. The study concludes that computer vision serves as a safety governance instrument within Smart City ITS when detection outputs are tightly coupled with intervention mechanisms.   
Pengaruh Human Resource Information System (Hris) Terhadap Kinerja Sumber Daya Manusia Dengan Efektivitas Kerja Sebagai Variabel Intervening Burhanuddin, Burhanuddin; Narinawati, Umi; Kurniawan, Bobi; Riyanto, Agus; Santy, Raeny Dwi
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v11i2.63828

Abstract

Penerapan teknologi informasi dalam manajemen sumber daya manusia menjadi kebutuhan strategis bagi organisasi dalam meningkatkan efektivitas kerja dan kinerja karyawan. Salah satu bentuk penerapan tersebut adalah penggunaan Human Resource Information System (HRIS). Penelitian ini bertujuan untuk menganalisis pengaruh HRIS terhadap kinerja sumber daya manusia (SDM) dengan efektivitas kerja sebagai variabel intervening. Penelitian ini menggunakan pendekatan kuantitatif dengan metode survei terhadap karyawan yang telah menggunakan HRIS dalam aktivitas kerjanya. Data dianalisis menggunakan Structural Equation Modeling–Partial Least Squares (SEM-PLS). Hasil penelitian menunjukkan bahwa HRIS berpengaruh positif dan signifikan terhadap efektivitas kerja dan kinerja SDM. Selain itu, efektivitas kerja juga berpengaruh positif dan signifikan terhadap kinerja SDM serta terbukti memediasi pengaruh HRIS terhadap kinerja SDM. Temuan ini mengindikasikan bahwa implementasi HRIS yang efektif mampu meningkatkan kinerja SDM secara optimal melalui peningkatan efektivitas kerja karyawan. Penelitian ini memberikan implikasi penting bagi organisasi untuk mengoptimalkan pemanfaatan HRIS sebagai bagian dari strategi pengelolaan SDM berbasis teknologi informasi.
Transformasi Digital Manajemen Gudang pada Koperasi Perikanan dalam Ekosistem Industri Terintegrasi AS, Harun; Helmi, Muhammad; Nerinawati, Umi; Kurniawan, Agus; Kurniawan, Bobi
Jesya (Jurnal Ekonomi dan Ekonomi Syariah) Vol 9 No 1 (2026): Artikel Riset Januari 2026
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi Al-Washliyah Sibolga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36778/jesya.v9i1.2561

Abstract

Transformasi digital menjadi isu strategis dalam penguatan manajemen gudang dan integrasi rantai pasok industri perikanan, khususnya pada koperasi perikanan yang beroperasi dalam ekosistem industri terintegrasi. Penelitian ini bertujuan untuk mengeksplorasi bagaimana transformasi digital manajemen gudang dijalankan serta bagaimana peran kapabilitas manajerial dalam memediasi pemanfaatan sistem digital pada koperasi perikanan di Indonesia. Penelitian menggunakan pendekatan kualitatif eksploratif dengan desain studi kasus tunggal. Data dikumpulkan melalui wawancara mendalam, observasi lapangan, dan analisis dokumen pada satu koperasi perikanan terpilih. Hasil penelitian menunjukkan adanya perbedaan pola pemanfaatan sistem digital, yaitu antara penggunaan yang bersifat administratif-simbolik dan pemanfaatan yang bersifat strategis dalam mendukung pengambilan keputusan manajerial berbasis data. Transformasi digital manajemen gudang tidak bersifat deterministik, melainkan sangat dipengaruhi oleh kapabilitas manajerial, khususnya kemampuan manajer dalam melakukan sensing, seizing, dan transforming terhadap informasi digital yang tersedia. Selain itu, penelitian ini menemukan adanya tantangan integrasi ekosistem yang bersumber dari kurangnya sinkronisasi kebijakan dan inisiatif digitalisasi antar pemangku kepentingan. Secara teoretis, penelitian ini berkontribusi pada penguatan perspektif sosio-teknis dan kapabilitas manajerial dalam kajian transformasi digital pada organisasi kolektif. Secara praktis, temuan penelitian menegaskan pentingnya pendekatan transformasi digital yang berorientasi pada penguatan kapabilitas manajerial, pengembangan sistem yang sederhana dan interoperabel, serta pembentukan ekosistem pembelajaran kolaboratif bagi koperasi perikanan.
Integration of Online Queue System and Electronic Medical Records to Improve Operational Efficiency in a Primary Clinic Agusta, Martin; Narimawati, Umi; Kurniawan, Bobi; Riyanto, Agus; Dwisanty, Raeni
Jesya (Jurnal Ekonomi dan Ekonomi Syariah) Vol 9 No 1 (2026): Artikel Riset Januari 2026
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi Al-Washliyah Sibolga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36778/jesya.v9i1.2589

Abstract

This study aims to analyze the integration of an online queue system and Electronic Medical Records (EMR) as a managerial strategy to enhance operational efficiency at Klinik dan Laboratorium Pratama Muhammad Abdus Syafi (MAS). A descriptive qualitative approach was employed, with data collected through observation, in-depth interviews, and documentation review. The findings indicate that integrating the two digital systems significantly reduced patient waiting times, improved service flow, and minimized administrative duplication. From an operational management perspective, the integrated system optimized resource utilization, increased healthcare staff productivity, and strengthened data-driven decision-making. Digital transformation through system integration demonstrably improved operational efficiency and organizational performance stability. Successful implementation was strongly influenced by human resource readiness, information technology governance, and adequate infrastructure support. This study was conducted within a single institution using a qualitative approach, which limits the generalizability of the findings. This research provides empirical evidence on digital integration strategies in primary healthcare facilities and highlights digital transformation as a long-term managerial approach to achieving operational excellence and organizational sustainability.
Co-Authors Abd. Rasyid Syamsuri Agus Kurniawan Agus Riyanto Ahiase, Godwin Albaroky, M F Alviana, Sopian Andrean George Wibisono Ari Prayoga Arif Satria AS, Harun Asep Koswara Astiani, R Atin, Sufa Bachtiar, Adam Mukharil Budi Hartono Budi Herdiana Burhanuddin Burhanuddin Buston Kholik Damayanti, Sri Erina Eko Budi Setiawan Firdaus, Dony Waluya Fitriadi, L H Harjono, Risqi Windu Hartono, Rodi Hermawan, Randy Heryandi, Andri Imtyramdhan, Afra Haniv Irawan Afrianto Irmayanti, Hani Ishwara, Luki Jana Utama, Jana Leslie Hendric Spits Warnars, Harco Martin Agusta Maryati, Mari Meyliana, M Meyliana, M. Muhammad Aria Rajasa Pohan Muhammad Helmi Narinawati, Umi Nawawi, Muhamad Nerinawati, Umi Popon Dauni Purnamasari, Novia Puspita, Rita Sari RAHAJOENINGROEM, TRI Rainarli, Ednawati Resviani, Devi Rizal Rachman, Rizal Rizki Dwi Nugraha Salim, Andi Agus Santy, Raeny Dwi Sopian Alviana Sopian Alviana Sopian Alviana Sri Supatmi Suharjo, Bambang Supatmi , Sri Syaddad, Hasbu Naim Tri Rahajoeningroem Umi Narimawati Umi Narinawati Warnars, Harco Leslie Hendric Spits Wildan Zulfikar Djunaedi Zaenudin, Aditya Rifandi Zainal Arifin Hasibuan zulkifli, ridwan