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All Journal Journal of Computer Science and Technology (JCS-TECH) Jurnal Pengabdian Masyarakat Indonesia (JPMI) Jurnal Sistim Informasi dan Teknologi Global Science: Journal of Information Technology and Computer Science
Agustinus Suradi
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Social Sciences Other

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SISTEM INFORMASI PELAYANAN PARKIR DI KLINIK NOVA MEDIKA BERBASIS QR CODE Dhika Feggy Pradigma; Agustinus Suradi; Niken Retnowati
Journal of Computer Science and Technology Vol 1 No 1 (2021): November 2021
Publisher : LPPM Universitas Widya Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (727.537 KB) | DOI: 10.54840/jcstech.v1i1.4

Abstract

Saat ini, Klinik Nova Medika belum menggunakan sistem dengan dukungan IT dalam mengolah datanya, khususnya pengelolaan parkir. Sistem parkir yang berjalan saat ini menggunakan cara manual yaitu tertulis di kertas atau disebut juga dengan karcis parkir. Pengguna kendaraan yang memasuki area parkir diberikan karcis parkir oleh petugas parkir, kemudian nomor tersebut disimpan oleh pengguna kendaraan pada saat keluar atau meninggalkan area parkir. Beberapa permasalahan yang muncul pada Nova Medika Clinic adalah proses pengolahan sistem parkir yang belum dikelola dengan baik, pelaporan bahkan kehilangan kendaraan bermotor karena tidak teridentifikasi dengan baik antara kendaraan dengan karcis parkir, maka kami membutuhkan suatu sistem untuk membantu dalam pengelolaannya. Metode pengembangan perangkat lunak yang digunakan adalah metode waterfall. Sedangkan metode pengumpulan data menggunakan metode observasi dan wawancara. Bahan dan bahan penelitian yang diperoleh terdiri dari identitas pegawai atau petugas, jadwal jaga pegawai dan tempat parkir. Penelitian ini menghasilkan sebuah aplikasi yang dapat digunakan untuk membantu dalam pengelolaan pelayanan parkir di Klinik Nova Medika berbasis QR Code. Sistem informasi pelayanan parkir dan laporan dibuat secara komputerisasi dengan menggunakan software Microsoft Visual FoxPro 9.0. Melalui aplikasi ini diharapkan dapat meningkatkan pengelola parkir dalam melakukan pelayanan parkir di Klinik Nova Medika. Penelitian ini menghasilkan sebuah aplikasi yang dapat digunakan untuk membantu dalam pengelolaan pelayanan parkir di Klinik Nova Medika berbasis QR Code. Sistem informasi pelayanan parkir dan laporan dibuat secara komputerisasi dengan menggunakan software Microsoft Visual FoxPro 9.0. Melalui aplikasi ini diharapkan dapat meningkatkan pengelola parkir dalam melakukan pelayanan parkir di Klinik Nova Medika. Penelitian ini menghasilkan sebuah aplikasi yang dapat digunakan untuk membantu dalam pengelolaan pelayanan parkir di Klinik Nova Medika berbasis QR Code. Sistem informasi pelayanan parkir dan laporan dibuat secara komputerisasi dengan menggunakan software Microsoft Visual FoxPro 9.0. Melalui aplikasi ini diharapkan dapat meningkatkan pengelola parkir dalam melakukan pelayanan parkir di Klinik Nova Medika.
Workshop Pemanfaatan IT Dalam Rangka Peningkatan Kompetensi Guru Dan Pegawai MTs Negeri 6 Klaten, Jawa Tengah Agustinus Suradi; Mahmud Yusuf; Aryati Wuryandari; Doni Setyawan
JURNAL PENGABDIAN MASYARAKAT INDONESIA Vol. 2 No. 3 (2023): Oktober : Jurnal Pengabdian Masyarakat Indonesia (JPMI)
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jpmi.v2i3.2268

Abstract

The use of IT in the learning process can provide great benefits, but awareness and understanding of the use of IT in the educational context still needs to be improved at MTs Negeri 6 Klaten. The aim of this workshop will be to provide opportunities for participants to understand and practice various IT applications that are relevant to the educational context. The PKM activity method is carried out in stages: observation & needs analysis, communication & dialogue, workshops, and evaluation. The results of this workshop activity can create a space for collaboration and exchange of ideas between teachers and staff, the material presented can be well understood by the majority of participants, namely 92%, and 96% of participants feel interested in the workshop material. So that it becomes a strategic step in improving the quality of education in MTs and providing better preparation for students in facing future challenges.
Analysis of Determinant Factors Customer Loyalty Towards Brand in The Telecommunication Industry With The Digitalization Paradigm Agustinus Suradi; Sri Purwati; Muhammad Zakaria; Rezky Nurbakti; Fahrina Mustafa
Jurnal Sistim Informasi dan Teknologi 2024, Vol. 6, No. 2
Publisher : SEULANGA SYSTEM PUBLISHER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60083/jsisfotek.v6i2.349

Abstract

The goal of this research is to determine whether company parties have implemented engagement strategies in the current digital context. This research uses a qualitative marketing research approach. We used a digital platform for the initial data collection stage. The analysis then continued with the creation of a textual corpus. A deep understanding of consumer engagement with brands can help companies build stronger relationships with consumers, create greater value for brands, and maintain a competitive advantage in the marketplace. By paying attention to emotional, cognitive, and behavioral dimensions, companies can develop more holistic and effective strategies for managing consumer engagement and strengthening their brand positioning. Research results reveal that consumers actively seek knowledge and information to enhance their decision-making about brands and products. Mobile telecoms have well-implemented Customer Brand Engagement strategies, but they also need to have a proactive approach in dialogue with customers to maintain their engagement. This means that in addition to understanding and responding to consumer needs and desires, companies also need to be proactive in communicating with customers to strengthen their relationship and engagement with the brand. According to a careful analysis of the lexical units in cluster one, the majority come from Twitter. Cluster two highlights the comparisons that consumers make regarding the technical characteristics of products and services with those of various competitors. Meanwhile, cluster three shows that consumers are increasingly looking for personal services that can meet their needs. Cluster four warns management about loss phenomena that are specific to certain areas or regions. Finally, Cluster Five allows management to understand that consumers are currently less involved in innovative services such as payments via smartphone.
Blockchain-Enabled Multi-Agent Reinforcement Learning for Secure Decentralised Resource Allocation in 5G/6G Network Slicing Agustinus Suradi; Muhamad Aris Sunandar; Umna iftikhar
Global Science: Journal of Information Technology and Computer Science Vol. 1 No. 3 (2025): September: Global Science: Journal of Information Technology and Computer Scien
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/globalscience.v1i3.174

Abstract

The integration of blockchain technology with Multi-Agent Reinforcement Learning (MARL) presents a promising solution for optimizing resource allocation and ensuring security in decentralized network environments, particularly in 5G and 6G network slicing. This research proposes a model that combines the security features of blockchain with the adaptive, decentralized decision-making capabilities of MARL. Blockchain ensures the integrity and transparency of resource allocation by providing a secure, tamper-proof ledger for transaction validation, while MARL allows agents to dynamically allocate resources based on real-time network conditions. The simulation results demonstrate significant improvements in resource allocation efficiency, fairness among users, and resilience to cyberattacks. By combining these two technologies, the proposed model overcomes many of the challenges posed by traditional centralized systems and offers an enhanced, secure, and fair solution for resource distribution in future mobile networks. However, scalability remains a challenge, especially in large-scale networks where transaction processing and consensus overhead can create bottlenecks. Additionally, training complexity in MARL models presents computational challenges, particularly in highly dynamic network environments. The model's performance trade-offs, including the balance between high security and system overhead, are also discussed. Future research should focus on optimizing blockchain consensus mechanisms to improve scalability and enhancing MARL model training techniques to reduce computational costs and improve real-time decision-making. This integration holds significant potential for revolutionizing resource allocation in 5G and 6G networks, enabling more efficient, secure, and fair management of network resources in the increasingly complex and decentralized digital ecosystem
Co-Authors Dhika Feggy Pradigma Doni Setyawan Mahmud Yusuf Muhamad Aris Sunandar Muhammad Zakaria Mustafa, Fahrina Niken Retnowati Rezky Nurbakti Sri Purwati Umna iftikhar