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All Journal Jurnal Ilmiah Informatika Komputer Nuansa Informatika JEJARING Cloud Information Buffer Informatika Jurnal Teknologi Sistem Informasi dan Aplikasi bit-Tech Jurnal Teknik Industri Terintegrasi (JUTIN) Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Computer Science and Information Technology (CoSciTech) Abditeknika - Jurnal Pengabdian Kepada Masyarakat Aptekmas : Jurnal Pengabdian Kepada Masyarakat Journal of Innovation and Sustainable Empowerment Jurnal Pengabdian Masyarakat Bangsa ORAHUA : Jurnal Pengabdian Kepada Masyarakat Scientific Exploration: Journal Of Indonesian Academic Research
Panji Novantara
Universitas Kuningan
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Rancang Bangun Aplikasi Monitoring Kegiatan MBKM & Prestasi Mahasiswa Menggunakan Algoritma Lempel ZIV Welch (LZW) untuk Kompresi Citra Digital Novantara, Panji; Sugiharto, Tito; Priantama, Rio
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 6 No. 1 (2023): April 2023
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v6i1.16806

Abstract

The MBKM (Merdeka Learning Kampus Merdeka) activity is part of the Merdeka Learning policy which allows students and lecturers to carry out various activities outside the campus. This study aims to design an application for monitoring MBKM activities and student achievement at the Faculty of Computer Science, University of Kuningan. The application development model used in this study is a prototyping model with stages: needs analysis, building prototyping, evaluating prototyping, system coding and using the system. In the process of storing evidence of MBKM activity documentation such as MBKM photos & certificates of achievement & MBKM, an image compression technique is needed to streamline data storage and transmission which saves bandwidth and storage, image file compression techniques are applied using the LZW algorithm (Lempel Ziv Welch) so that data file storage is more efficient. efficiently without reducing image quality. The results of this study are an application for monitoring MBKM activities and student and lecturer achievements that aim to document & evaluate MBKM activities & achievements at the Faculty of Computer Science, University of Kuningan, making it easier to report MBKM activities and lecturer & student achievements.
The Study on Planning and Evaluation for IT Governance Domain PO and ME Quality Control Using the Cobit Framework 4.1 Panji Novantara; Dadan Nugraha
Scientific Exploration: Journal of Indonesian Academic Research Vol. 1 No. 1 (2023): Scientific Exploration: Journal of Indonesian Academic Research
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) Universitas Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/jiar.v1i1.6

Abstract

Tata kelola TI merupakan bagian dari tata kelola dan sebuah organisasi, selain itu tata kelola TI merupakan struktur hubungan dan proses untuk mengarahkan dan mengendalikan organisasi untuk mencapai tujuan. Penelitian di Kementerian PUPR akan menghasilkan rekomendasi Tata Kelola TI yang merupakan pengembangan dari Tata Kelola TI yang sudah dilakukan, namun saat ini proses Tata Kelola TI belum dilakukan secara menyeluruh. Perencanaan dan Evaluasi serta pengendalian kualitas tata kelola teknologi informasi perlu dilakukan untuk mengetahui tingkat keberhasilan atau kemajuan TI dan mengukur apakah TI di Kementerian PUPR sudah digunakan secara efektif dan efisien. Rekomendasi Tata Kelola TI dibuat untuk meningkatkan kinerja TI di Kementerian PUPR. Pada penelitian ini, framework yang digunakan adalah COBIT (Control Objective for Information and Related Technology) versi 4.1, domain yang dipilih pada penelitian ini adalah domain Plan and Organize (PO) dan Monitoring and Evaluate (ME). Tingkat kematangan digunakan untuk melihat gambaran kondisi tata kelola teknologi informasi saat ini dan peningkatannya di masa yang akan datang. Dari pemetaan maturity model tersebut, diharapkan tingkat tingkat kematangan untuk Kementerian PUPR berada pada level 3, sehingga tingkat kematangan masing-masing proses kontrol dapat lebih baik dengan adanya rekomendasi pengelolaan TI untuk mendukung tercapainya tujuan tata kelola TI yang dilakukan dan diharapkan berada pada level maksimal. Hasil dari penelitian ini berupa evaluasi dan rekomendasi TI di Kementerian PUPR untuk domain PO dan ME.
Peran Perempuan Dalam Pemanfaatan Konsep Citizen Science Dalam Upaya Pengurangan Risiko Bencana Berbasis Partisipasi Masyarakat Risteruw Leonardo Firman; Panji Novantara; Marrilyn; Aria Mariany
Journal of Innovation and Sustainable Empowerment Vol. 3 No. 2 (2024)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) Universitas Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/jise.v3i2.157

Abstract

Pengabdian masyarakat ini bertujuan untuk pemberdayaan perempuan dalam upaya pengurangan risiko bencana melalui konsep citizen science di RW.015, Kelurahan Kalijaga, Kecamatan Harjamukti, Kota Cirebon, yang rentan terhadap banjir. Melalui metode partisipatif, perempuan dilibatkan sebagai kader dalam sosialisasi, pelatihan, dan pemetaan risiko bencana di lingkungan mereka. Kegiatan ini menempatkan perempuan sebagai pengumpul data dan penyuluh komunitas untuk meningkatkan kesadaran mitigasi bencana. Hasilnya menunjukkan peningkatan partisipasi perempuan, dengan lebih dari 60% peserta aktif terlibat dalam seluruh rangkaian kegiatan, termasuk dalam penyusunan peta risiko bencana lokal. Program ini membuktikan bahwa citizen science efektif untuk meningkatkan kapasitas dan ketangguhan masyarakat dalam menghadapi ancaman bencana. Dengan pelibatan perempuan, diharapkan tercipta kesadaran kolektif dan komunitas tangguh bencana di Kelurahan Kalijaga.
Trust sebagai Mediasi Interaktivitas dan Personalisasi pada Sistem Rekomendasi Berbasis AI Aah Sumiah; Fahmi Yusuf; Panji Novantara
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 8 No. 4 (2025): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v8i4.58267

Abstract

AI-based recommender systems are widely implemented in e-commerce and digital platforms due to their ability to provide relevant and personalized recommendations. However, a key challenge in sustaining their adoption is establishing user trust, as limited trust can reduce continued usage intentions. This study investigates the effects of interactivity and personalization on intention to use, with trust as a mediating variable. A quantitative correlational approach was applied using Partial Least Squares Structural Equation Modeling (PLS-SEM). Data were collected from 170 Universitas Kuningan students who actively used recommender-based applications such as Shopee, Tokopedia, Netflix, and Spotify. The findings indicate that interactivity (β = 0.059; p = 0.493) and personalization (β = 0.210; p = 0.053) do not directly influence intention to use. Nevertheless, both interactivity (β = 0.233; p = 0.003) and personalization (β = 0.571; p < 0.001) significantly affect trust. Furthermore, trust has a strong positive impact on intention to use (β = 0.525; p < 0.001) and significantly mediates the relationships between interactivity and personalization with intention to use. The model explains 55.4% of the variance in trust and 53.7% in intention to use. These results emphasize trust as a critical mechanism linking user experience to continued use of AI-based recommender systems.
Deteksi Hama Penyakit Daun Padi Dengan Menggunakan Teknik Optimasi Deep Learning Convolutional Neural Network Panji Novantara; Risteruw Leonardo Firmansyah; Marrilyn Arismawati
bit-Tech Vol. 7 No. 3 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v7i3.2284

Abstract

Budidaya padi memegang peranan penting dalam ketahanan pangan nasional, namun sering terhambat oleh serangan penyakit daun yang berdampak signifikan terhadap penurunan produksi. Untuk menjawab tantangan tersebut, penelitian ini merancang sebuah aplikasi berbasis algoritma Convolutional Neural Network (CNN) guna mengklasifikasi penyakit daun padi secara otomatis dan akurat. Pengumpulan data dilakukan melalui observasi langsung di Gapoktan (Gabungan Kelompok Tani) Kabupaten Kuningan, wawancara dengan petani, studi literatur, serta pengembangan sistem menggunakan pendekatan Rapid Application Development (RAD) yang memungkinkan pembangunan aplikasi secara cepat dan terstruktur. Model Convolutional Neural Network (CNN) yang dibangun diuji menggunakan 480 gambar sampel dan menghasilkan akurasi tinggi sebesar 97,75%. Nilai F1-Score yang diperoleh yaitu 0,97 untuk Brown Spot, 0,921 untuk Blast, 0,871 untuk Hispa, dan 0,952 untuk daun sehat. Hasil ini menunjukkan bahwa aplikasi mampu mendeteksi penyakit secara dini, sehingga petani dapat segera mengambil tindakan preventif untuk meminimalkan kerugian hasil panen. Untuk meningkatkan performa, disarankan penerapan Model teknik optimasi yang diterapkan dalam proses model CNN (Convolutional Neural Network ) seperti perluasan dataset, variasi teknik augmentasi data set, serta evaluasi terhadap gambar dengan kompleksitas tinggi. Pengembangan ke klasifikasi penyakit lainnya juga sangat potensial. Secara keseluruhan, aplikasi ini berpeluang besar mendukung pertanian digital dan mewujudkan sistem pertanian padi yang lebih berkelanjutan dan modern.
Development of The Software as Services (SaaS) Business Model in The Satusehat Integrated Electronic Medical Record System Panji Novantara; Ragel Trisudarmo; Fauziah
bit-Tech Vol. 8 No. 1 (2025): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i1.2354

Abstract

Digital transformation in the healthcare sector represents a key strategy to enhance operational efficiency and improve the quality of medical services. This study presents the development of a Software as a Service (SaaS)-based Electronic Medical Record (EMR) information system, integrated with SatuSehat, a national health data platform managed by the Ministry of Health of the Republic of Indonesia. The system is designed to improve the accuracy of clinical data recording and expedite access to patient information for healthcare professionals. The development process adopted the Agile methodology, characterized by iterative and incremental stages including requirements analysis, system design, implementation, testing, and evaluation. Agile was selected for its ability to accommodate dynamic user needs and regulatory requirements through continuous feedback loops and adaptive planning. Compliance with national health regulations and data security standards, including Minister of Health Regulation No. 24 of 2022 concerning EMR implementation, guided the entire process. Evaluation of the system demonstrates enhanced efficiency in medical administrative workflows, improved accuracy of patient records, and accelerated clinical decision-making processes. The integration with SatuSehat enables interoperability at a national level, thereby supporting real-time health data exchange and long-term health monitoring systems. From a societal standpoint, the system improves data accessibility for healthcare personnel and elevates the overall quality of care delivered to patients. Economically, the SaaS-based approach reduces operational costs, promotes efficient budgeting, and contributes to the broader digital transformation of healthcare services, particularly in strengthening primary care infrastructure.
Co-Authors Aah Sumiah Abdurohman, Ali Alman Muhammad Anggun Apriani Aria Mariany Arisma, Neno Asih Awalia Cecep Juliansyah Abbas, M.Kom. Dadan Nugraha Damasus Sandi Setiadi Danu Pradana Deni Supriadi Elpan Januar Fahmi Yusuf Fauziah Fitri Susanti Jajang Mutiara Marrilyn Marrilyn Arismawati Nunu Nugraha Pratama, Agum Ragel Trisudarmo Rio Priantama Risteruw Leonardo Firman Risteruw Leonardo Firmansyah Roni Nursyamsu Tata Sutabri Tito Sugiharto Usep Sapari Septiana