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All Journal Indonesian Journal of Information System Jurnal Teknologi Informasi dan Pendidikan BERNAS: Jurnal Pengabdian Kepada Masyarakat Jurnal Informatika Teknologi dan Sains (Jinteks)
Surjandy
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Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Dentistry Education Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Neuroscience Nursing Public Health Social Sciences Veterinary Other

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The Essential Factors and Trend Development of IoT Smart Box Surjandy; Meyliana; Condrobimo, Andreas Raharto; Eka Widjaja, Henry Antonius; Atmadja, Wiedjaja; Susanto, Rudy; Sablan, Bruno
Indonesian Journal of Information Systems Vol. 6 No. 1 (2023): August 2023
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v6i1.6794

Abstract

Boxes for drug storage are handy and essential and play a role in helping the healing process and support maintaining patient health regularly for a long time. SmartBox is not a new thing, but because of its importance, it, SmartBox continues to be developed to date according to the needs needed. In previous research, the formation of SmartBox was only for particular things. This study tries to unify the 17 papers obtained with the help of a publish and perish application which is then carried out a literature review and using the VosViewer application to get an overview of trend development and the essential factors or aspects in the formation of SmartBox and its development. In addition to getting the trend of SmartBox development, this research also finds seven essential factors that will be useful for Smartbox development. With this research, it hopes that it will facilitate the development of SmartBox in the future.
The Essential Factors and Trend Development of IoT Smart Box Surjandy; Meyliana; Condrobimo, Andreas Raharto; Eka Widjaja, Henry Antonius; Atmadja, Wiedjaja; Susanto, Rudy; Sablan, Bruno
Indonesian Journal of Information Systems Vol. 6 No. 1 (2023): August 2023
Publisher : Program Studi Sistem Informasi Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/ijis.v6i1.6794

Abstract

Boxes for drug storage are handy and essential and play a role in helping the healing process and support maintaining patient health regularly for a long time. SmartBox is not a new thing, but because of its importance, it, SmartBox continues to be developed to date according to the needs needed. In previous research, the formation of SmartBox was only for particular things. This study tries to unify the 17 papers obtained with the help of a publish and perish application which is then carried out a literature review and using the VosViewer application to get an overview of trend development and the essential factors or aspects in the formation of SmartBox and its development. In addition to getting the trend of SmartBox development, this research also finds seven essential factors that will be useful for Smartbox development. With this research, it hopes that it will facilitate the development of SmartBox in the future.
AI-AUGMENTED HEALTH INFORMATION SYSTEM DESIGN FOR SCALABLE MOBILE MENTAL WELLNESS SUPPORT IN INDONESIA Tiawan; Eliza Ariesta; Nilam Atsirina Krisnaputri; Amril Mutoi Siregar; Surjandy; Merios Gusan Putra; Dani Lukman Hakim; Samsul Arifin; Nur Dava Kurniawan
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 8 No 1 (2026): EDISI 27
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v8i1.6974

Abstract

Indonesia faces a youth mental health crisis, with limited access to professional care. WHO recommends one mental health worker per 30.000 people, but Indonesia only has 1:200.000 for general mental health personnel and 1:223.587 for psychiatrists. This paper addresses the implementation gap through the design and integration of an AI augmented health information system within Teman Curhat, a mobile mental wellness platform. We applied thematic analysis to expert interviews and used K-Means clustering on 16.689+ user reported cases to classify concerns into three severity levels. The system’s novelty lies in embedding on device Gemini AI for offline triage, ethical chatbot support, and adaptive user routing. Key outputs include a validated clustering model (Silhouette Score: 0.61), AI assisted classification logic, integration within Android Studio, and a scalable conversational interface. This innovation supports SDG 3 (Good Health and Well being) and SDG 10 (Reduced Inequalities) by enabling inclusive, responsive, and privacy focused digital mental health services for underserved communities.
MODEL CHATBOT AI AGENT BERBASIS CONVERSATIONAL AGENT UNTUK BISNIS DIGITAL LAPTOPCARE Tiawan; Eliza Ariesta; Nilam Atsirina Krisnaputri; Amril Mutoi Siregar; Surjandy; Merios Gusan Putra; Dani Lukman Hakim; Samsul Arifin; Muhammad Fathir Fahlevi; Favian Jarsi Taufiqqurakhman; Hexsel Aldoegasha; Alya Nabilah; Taufiqqurahman Hutri; Nur Davi Kurniawan
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 8 No 1 (2026): EDISI 27
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v8i1.6975

Abstract

Perkembangan teknologi Conversational Agent (CA) memungkinkan pengembangan chatbot berbasis kecerdasan buatan untuk mendukung layanan bisnis digital. Penelitian ini bertujuan untuk mengembangkan dan mengimplementasikan chatbot AI Agent sebagai layanan dukungan pelanggan pada model bisnis perawatan laptop yang dikembangkan oleh mahasiswa. Metode yang digunakan adalah pendekatan Conversational Agent dengan integrasi n8n sebagai platform otomasi alur kerja, Telegram sebagai saluran komunikasi, Google Gemini Chat Model sebagai pemroses bahasa, serta Google Spreadsheet sebagai sumber data terstruktur untuk informasi produk dan layanan. Sistem chatbot dirancang sebagai agen berbasis tugas dengan aturan bisnis yang mengatur jenis pertanyaan dan layanan yang dapat diberikan. Hasil penelitian menunjukkan bahwa chatbot mampu memberikan respons yang akurat, kontekstual, dan konsisten terkait informasi layanan, stok barang, estimasi harga, serta kebutuhan pelanggan secara real-time. Implementasi ini membuktikan bahwa integrasi AI Agent dengan platform otomasi dan data terstruktur dapat meningkatkan efisiensi layanan pelanggan serta mendukung pengembangan model bisnis digital di bidang perawatan laptop.
PERANCANGAN FITUR DARURAT DAN PENGINGAT PADA APLIKASI JAMAAH UMROH XYZ MENGGUNAKAN SCRUMBAN Tiawan; Nusaibah; Rifky Kurniawan; Eliza Ariesta; Nilam Atsirina Krisnaputri; Amril Mutoi Siregar; Surjandy; Merios Gusan Putra; Dani Lukman Hakim; Samsul Arifin; Citra Nur Napiah
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 8 No 1 (2026): EDISI 27
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v8i1.7049

Abstract

The problem of Umrah pilgrims getting lost and losing personal belongings is still common, especially in high-density areas such as the Grand Mosque and the Prophet's Mosque, with more than 50 cases of missing pilgrims per day during the peak Umrah season. A survey of 50 pilgrims showed that 86% of respondents experienced location disorientation and 74% had lost or nearly lost personal belongings. This study aims to design emergency and reminder features in the XYZ Umrah Pilgrim Application to improve security and management of pilgrim activities. The development method used is Scrumban, a combination of the iterative and structured Scrum method with the Kanban method that emphasizes workflow visualization and task management execution. The emergency feature is designed using the Fused Location Provider to send pilgrim location coordinates in real-time with a detection time of less than 30 seconds, while the reminder feature helps manage luggage and prayer schedules through a notification system. Functional and performance testing results show a feature success rate above 90%. The conclusion of this study shows that the integration of emergency and reminder features in one Umrah application with the Scrumban approach is able to improve the security and comfort aspects of the congregation.
Lightweight YOLO Models for Robust Facial Expression Detection Aulia, Achmad Indra; Hutapea, Albert Jofrandi; Siregar, Amril Mutoi; Surjandy
Jurnal Teknologi Informasi dan Pendidikan Vol. 19 No. 2 (2026): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v19i2.1120

Abstract

Facial expression recognition is a fundamental component of artificial intelligence systems, particularly in human–machine interaction. However, achieving robust detection accuracy remains challenging due to variations in lighting, facial orientation, and limited training data diversity. While recent lightweight YOLO architectures—YOLOv8n, YOLOv10n, and YOLO11n—have demonstrated strong performance in general object detection, comparative studies evaluating these models specifically for facial expression detection remain limited. This study addresses this gap by systematically comparing these three nano-variant models on a dataset of 2,000 labeled facial images across four expression categories: flat face, angry, sad, and smile. The dataset was divided into training (70%), validation (20%), and test (10%) subsets. Experiments were conducted under two scenarios—with and without data augmentation—using identical training configurations. Augmentation techniques included mosaic composition, HSV variation, geometric transformations, and flipping. Results show that augmentation improved the F1 score of YOLOv10n from 0.68 to 0.72 and YOLO11n from 0.65 to 0.72, with the latter achieving the highest overall precision of 0.82. YOLOv8n exhibited stable performance with an F1 score of 0.75 under both conditions. Confidence threshold optimization revealed distinct optimal operating points for each model, ranging from 0.1 to 0.6, confirming that per-model threshold tuning is necessary to maximize detection performance. These findings provide practical guidance for selecting and configuring lightweight YOLO models for facial expression detection in resource-constrained environments.
Executive Movement Mangrove Planting 2026 Tiawan; Jessika Welliana BR. Siahaan; Eliza Ariesta; Amril Mutoi Siregar; Surjandy; Merios Gusan Putra; Timotius Victory; Nilam Atsirina Krisnaputri; Ade Kurniawan; Dani Lukman Hakim
BERNAS: Jurnal Pengabdian Kepada Masyarakat Vol. 7 No. 2 (2026)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/jb.v7i2.17979

Abstract

Institut Teknologi Sains Bandung (ITSB) berkontribusi dalam kegiatan penanaman pohon mangrove yang dilaksanakan di kawasan Pantai Indah Kapuk (PIK) Tzu Chi sebagai bagian dari upaya pelestarian lingkungan pesisir, melalui undangan dan kolaborasi dengan Techconnect sebagai inisiator kegiatan. Kegiatan ini merupakan bentuk kolaborasi multipihak dalam mendukung restorasi ekosistem mangrove yang memiliki peran penting dalam menjaga keseimbangan lingkungan, seperti mencegah abrasi, menyerap karbon, serta menyediakan habitat bagi keanekaragaman hayati. Secara nasional, Indonesia memiliki ekosistem mangrove terbesar di dunia, namun mengalami degradasi signifikan akibat alih fungsi lahan dan pembangunan yang tidak terkendali. Melalui partisipasi aktif civitas akademika, ITSB tidak hanya berperan dalam aksi nyata penghijauan, tetapi juga menanamkan kesadaran lingkungan dan nilai keberlanjutan kepada mahasiswa. Kegiatan ini sejalan dengan tujuan pembangunan berkelanjutan (Sustainable Development Goals/SDGs), khususnya SDG 13 (Penanganan Perubahan Iklim), SDG 14 (Ekosistem Laut), SDG 15 (Ekosistem Daratan), serta SDG 17 (Kemitraan untuk Mencapai Tujuan). Dengan demikian, keterlibatan ITSB dalam penanaman mangrove menjadi kontribusi strategis dalam mendukung keberlanjutan lingkungan dan pembangunan berwawasan ekologis.
Mentor : Changemakers Mentorship Program, dengan Tema "Smart & Lean Marketing Strategy" Tiawan; Nur Davi Kurniawan; Eliza Ariesta; Amril Mutoi Siregar; Surjandy; Merios Gusan Putra; Timotius Victory; Nilam Atsirina Krisnaputri; Ade Kurniawan; Dani Lukman Hakim
BERNAS: Jurnal Pengabdian Kepada Masyarakat Vol. 7 No. 2 (2026)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/jb.v7i2.17980

Abstract

Program Mentorship Changemaker adalah inisiatif pengembangan kapasitas yang dirancang untuk meningkatkan kinerja dan dampak para penggerak perubahan, khususnya inovator sosial dan pendiri bisnis. Program ini diimplementasikan melalui sesi mentoring kelompok berbasis aksi yang melibatkan praktisi berpengalaman dari berbagai bidang seperti teknologi, pendidikan, inovasi sosial, dan pengembangan masyarakat. Program ini dilaksanakan dari tanggal 19 Desember 2025 hingga 9 Januari 2026. Mentor yang terlibat dalam program ini meliputi: Tiawan (Dosen Bisnis Digital di ITSB – Sinarmas Group), Agis Nurholis (Direktur M Foundation), Aqil Wida Arief (Social Impact Engineer), Arninta Puspitasari (Pendiri Barakah Communication & Indonesia Muslim Women), Dharmaji Suradika (Pendiri LearnAlways & Kawan Pintar), Nindyta Ayu Putri Ningtyas (Pendiri & CEO Linkupcareer.id), Grenda Qomara (Peneliti Konten di Corporate Innovation Asia), dan Ahmad Baihaqy (Project Lead di Corporate Innovation Asia). Hasil program ini menunjukkan peningkatan kapasitas peserta dalam kepemimpinan, inovasi sosial, dan kemampuan untuk merancang solusi yang berdampak. Lebih lanjut, program ini berkontribusi pada pencapaian beberapa Tujuan Pembangunan Berkelanjutan (SDG), khususnya SDG 4 (Pendidikan Berkualitas), SDG 8 (Pekerjaan Layak dan Pertumbuhan Ekonomi), SDG 9 (Industri, Inovasi, dan Infrastruktur), dan SDG 17 (Kemitraan untuk Tujuan).
Co-Authors Ade Kurniawan Alya Nabilah Amril Mutoi Siregar Ariesta, Eliza Atmadja, Wiedjaja Aulia, Achmad Indra Citra Nur Napiah Condrobimo, Andreas Raharto Dani Lukman Hakim Eka Widjaja, Henry Antonius Favian Jarsi Taufiqqurakhman Hexsel Aldoegasha Hutapea, Albert Jofrandi Jessika Welliana BR. Siahaan kurniawan, Rifky Meyliana Muhammad Fathir Fahlevi Nilam Atsirina Krisnaputri Nur Dava Kurniawan Nur Davi Kurniawan Nusaibah Nusaibah Sablan, Bruno Samsul Arifin Siregar, Amril Mutoi Siregar, Amril Mutoi Taufiqqurahman Hutri Tiawan Timotius Victory Tri Joko Raharjo