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All Journal Technomedia Journal Jurnal Informatika Teknologi dan Sains (Jinteks) Madani : Jurnal Pengabdian Kepada Masyarakat
Tiawan
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Computer Science & IT Control & Systems Engineering Languange, Linguistic, Communication & Media Social Sciences

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Perancangan Sistem Informasi Institutional Respository Politeknik Enjinering Indoroma Mulyani, Heti; Tiawan; Nugraha, Muhammad
Technomedia Journal Vol 6 No 2 Februari (2022): TMJ (Technomedia Journal)
Publisher : Pandawan Incorporation, Alphabet Incubator Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (796.762 KB) | DOI: 10.33050/tmj.v6i2.1734

Abstract

Institutional Repository is one of the facilities needed by universities to access, store, publish scientific works of the academic community digitally, such as journal articles, e-books, student final project results and other scientific works. The method used to develop this repository application uses the Waterfall method which has a systematic information system development model and consists of stages of needs analysis, software prototype design, implementation, software testing to software maintenance. The software used in developing this repository application uses Dspace. The purpose of this research is to build an Institutional Repository application to support smart campuses, especially at the Indorama Engineering Polytechnic. Smart campus combines learning systems and data storage facilities with the use of information technology, smart campus has information technology facilities such as e-learning, campus website, e-library, institutional repository and various other information services. The results of this study are in the form of an institutional repository application that can be used by all academics, both within the Indorama Engineering Polytechnic and the wider community. Keywords: Institutional Repository, Smart Campus, Dspace, Scientific Works, Waterfall.
PENGUATAN KOMPETENSI DIGITAL MELALUI LMS: SOSIALISASI DIGITAL LEARNING AWS DI SMK TRIKARYA JAKARTA Kurniawan, Rifky; Maulid, Elfina; Tiawan; Irfayanti, Yulia; Sutrisno; Elisabeth; Syauqi
MADANI: Jurnal Pengabdian Kepada Masyarakat Vol 10 No 2 (2024): MADANI: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM UPN Veteran Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53834/mdn.v10i2.10255

Abstract

Kemajuan teknologi di era digital ini telah membawa dampak signifikan dalam berbagai aspek kehidupan, termasuk pendidikan. Salah satu inovasi utama adalah pemanfaatan Learning Management System (LMS) berbasis web untuk mendukung pembelajaran digital. Kegiatan ini bertujuan untuk meningkatkan literasi digital siswa SMK Trikarya Jakarta melalui pelatihan penggunaan LMS berbasis AWS (Amazon Web Services), yang merupakan penyedia layanan cloud computing terbesar di dunia. Berdasarkan teori yang mendukung pengabdian masyarakat (abdimas), teknologi digital seperti LMS terbukti mampu mendukung proses pembelajaran yang lebih fleksibel dan efektif. Metode yang digunakan dalam kegiatan ini adalah pelatihan yang melibatkan ceramah dan praktik langsung. Peserta terdiri dari 20 siswa kelas 12 dari jurusan Multimedia, Akuntansi, dan Rekayasa Perangkat Lunak. Pelatihan meliputi pengenalan konsep cloud computing, demonstrasi penggunaan LMS, serta praktik langsung dalam mengakses dan memanfaatkan materi pembelajaran AWS. Evaluasi dilakukan menggunakan angket online, observasi langsung, dan sesi diskusi untuk memahami tingkat pemahaman siswa terhadap materi yang diberikan.Hasil survei menunjukkan bahwa 85% siswa mendapatkan pemahaman baru tentang cloud computing, dan 90% merasa bahwa materi yang disajikan relevan dengan kebutuhan mereka. Sebanyak 88% siswa menganggap pengalaman belajar melalui LMS menarik, sementara 95% memberikan respons positif terhadap metode pelatihan yang digunakan. Beberapa saran perbaikan mencakup penambahan panduan video tutorial dan penyesuaian durasi pelatihan. Kesimpulannya, pelatihan ini berhasil meningkatkan literasi digital siswa dan mempersiapkan mereka untuk menghadapi tantangan di era Revolusi Industri 4.0. Dengan hasil yang positif, diharapkan model pelatihan ini dapat diimplementasikan lebih luas untuk mendukung pembelajaran berbasis teknologi.
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.
Co-Authors Alya Nabilah Ariesta, Eliza Citra Nur Napiah Elfina Maulid Elisabeth Favian Jarsi Taufiqqurakhman Hexsel Aldoegasha Irfayanti, Yulia kurniawan, Rifky Muhammad Fathir Fahlevi Muhammad Nugraha Nilam Atsirina Krisnaputri Nur Dava Kurniawan Nur Davi Kurniawan Nusaibah Nusaibah Samsul Arifin Siregar, Amril Mutoi Surjandy SUTRISNO syauqi Taufiqqurahman Hutri