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WORKSHOP PENINGKATAN PEMAHAMAN CYBER ETHICS DALAM MEMBANGUN BUDAYA LITERASI DIGITAL YANG SEHAT DAN AMAN Reni Haerani; Rosdiana Rosdiana; R Dewi Mutia Farida; Solihin Solihin; Khasan Asrori
MINDA BAHARU Vol 6, No 1 (2022): Minda Baharu
Publisher : Universitas Riau Kepulauan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33373/jmb.v6i1.4081

Abstract

Kegiatan ini bertujuan untuk memberikan pemahaman pada siswa-siswi SMAN 1 Waringinkurung Serang, Banten, tentang pentingnya etika dalam penggunaan internet dan pentingnya literasi masyarakat pendidikan, khususnya kaum remaja dalam menggunakan teknologi informasi dan komunikasi digital yang sehat dan produktif dan buat meningkatkan kualitas pendidikan mengedukasi kaum remaja supaya bisa memanfaatkan internet dengan baik, melalui aktivitas yang positif dan kreatif sehingga kegiatan mereka di dunia maya menjadi sehat dan aman. Metode yang dipakai dalam pelaksanaan Pengabdian Kepada Masyarakat (PKM) ini terdiri dari empat tahapan : 1). Tahap persiapan, yaitu dilakukan menggunakan survei awal, melakukan wawancara dengan unsur terkait seperti kepala sekolah dan bagian kesiswaan; 2). Tahap pelatihan, diberikan pengenalan dan pelatihan literasi digital; 3). Tahap workshop,  pemaparan materi dan diskusi mengenai etika menggunakan internet; 4). Tahap evaluasi, terhadap capaian yang sudah diperoleh berdasarkan proses pelatihan dengan memberikan pertanyaan-pertanyaan kepada siswa dan siswi peserta PKM. Dari output pelaksanaan kegiatan, bahwa ditemukan masih banyak remaja yang belum mengerti etika yang yang wajib dipatuhi dalam pergaulan di dunia maya.
PELATIHAN PEMANFAATAN CANVA SEBAGAI SARANA PEMBUATAN BAHAN AJAR BERBASIS DIGITAL YANG KREATIF DAN INOVATIF DI SDN 1 CIUYAH LEBAK BANTEN Holilah Holilah; Puspita Maelani; Solihin Solihin; Asep Yana Yusyama
Jurnal Abdimas Bina Bangsa Vol. 4 No. 2 (2023): Jurnal Abdimas Bina Bangsa
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/jabb.v4i2.372

Abstract

Technological developments affect all aspects, including the educational aspect. The use of this technology can go hand in hand with how educators or teachers create a learning method so that it can affect the effectiveness of the learning process. SDN 1 Ciuyah Lebak Banten has facilities for using technology for learning, but this technology has not been utilized by teachers to be used in the learning process while the role of the teacher must continue to create creative and innovative learning methods, so that the knowledge that will be transferred to students can be successful. One of them is the use of Canva in the learning process. This service activity uses three stages, namely preparation, implementation and evaluation. As a result of this dedication, the use of Canva-based technology in learning provides knowledge and skills to teachers so that they can increase success in the learning process. The importance of training that supports teacher effectiveness in teaching should be gradual because it takes a lot of time to directly apply the use of Canva
MANAJEMEN AKSES INTERNET BERBASIS LIMITASI MENGGUNAKAN MIKHMON DAN ROUTER MIKROTIK Solihin; Erni Krisnaningsih; Saleh Dwiyatno; Ahmad Dedi Jubaedi; Yandri Fatah Maulana; Suhardianto
PROSISKO: Jurnal Pengembangan Riset dan Observasi Sistem Komputer Vol. 10 No. 2 (2023): Prosisko Vol. 10 No. 2 September 2023
Publisher : Pogram Studi Sistem Komputer Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/prosisko.v10i2.6690

Abstract

Perkembangan teknologi pada era modern saat ini, khususnya dalam bidang jaringan komputer telah berkembang pesat. Seiring dengan perkembang jaringan tersebut menyebabkan para pengguna menginginkan sebuah jaringan untuk melakukan download ataupun upload data dengan kecepatan yang stabil. Masalah yang terjadi yaitu pengguanaan waktu internet yang berlebihan serta beberapa pengguna internet rumah yang menggunakan akses internet untuk keperluan game atau mendownload yang menyebabkan bandwidth yang tersedia terfokus pada pengguna tersebut sehingga beberapa pengguna internet lain merasakan jaringan internet yang tidak stabil. Penelitian ini dilakukan dengan diterapkan Manajemen Akses Internet Berbasis Limitasi Menggunakan Mikhmon dan Router Mikrotik diharapkan dapat membantu efektifitas serta kestabilan pengguna internet dengan membatasi penggunana waktu internet serta membagi bandwidth secara merata pada setiap pengguna internet, sehingga setiap pengguna akses internet rumah dapat merasakan kecepatan internet yang stabil. Penelitian ini dijadwalkan mulai bulan Oktober hingga Maret 2021/2020. Teknik pengumpulan data pada penelitian ini adalah observasi. Hasil dari penelitian ini adalah telah dibangun sistem Limitasi pada manajemen jaringan internet rumah yang dapat meningkatkan efektifitas, kenyamanan dan keamanan penggunaan internet dalam rumah dengan fitur hostpot management yang dapat membagi bandwidth sama rata pada setiap user dan membatasi penggunaan waktu internet pada user sehingga setiap pengguna akses internet rumah dapat merasakan kecepatan internet yang stabil. Selain itu, telah diimplementasikan satu Modem ISP, satu routerboard mikrotik, dan satu access point. Modem ISP bertugas sebagai sumber internet yang digunakan dalam manajemen akses internet, kemudian routerboard mikrotik bertugas sebagai manajemen jaringan yang akan di rancang sebagai router gateway dan management hostpot, sedangkan access point akan bertugas sebagai pusat penyebaran jaringan baik melalui LAN maupun WLAN.
SISTEM INFORMASI PENGELOLAAN TOUR DAN TRAVEL BERBASIS WEB APP PADA CV. KENKEN AGENCY Khasan Asrori; Solihin Solihin; Istiqomah Rohmawati
Journal of Innovation And Future Technology (IFTECH) Vol 6 No 1 (2024): Vol 6 No 1 (February 2024): Journal of Innovation and Future Technology (IFTECH)
Publisher : LPPM Unbaja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/iftech.v6i1.2987

Abstract

CV. Kenken is a service company in the city of Serang in managing tour and travel reservations still using the manual system. There are many problems including management of tour booking data and WEB-Based Travel On CV. Kenken Agency, still using a ledger, boking data collection and departure schedule is not well recorded, difficulties in tracking documents sent. The method used is the waterfall method, the design tool uses the UML flow map. While the implementation uses the PHP programming language and MySQL data base. With the web-based tour and travel information system on CV. Kenken Agency, is expected to overcome the problems that exist in the CV. Kenken Agency. Therefore, the recording of documents is neat, the departure schedule is well organized, the latest prices, boking and schedules are well recorded.
Sistem Informasi Jasa Laundry Berbasis Website Pada Waroeng Laundry: Website Based Laundry Service Information System at Waroeng Laundry solihin solihin
Technosience Vol 7 No 8 (2023): Jurnal Ilmiah Technosience
Publisher : UPPM Politeknik PGRI Banten

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research “Laundry Services Information System At Waroeng Laundry Website Based”. In the process of writing this research aims to computerize laundry services system by using Website based program, in order to increase the officers performance being more optimal. In addition, the program created can be used to reduce the occurrence of duplication of data and speed up data processing. In conducting this research, the author uses the Waterfall method research. After processing laundry services data and discussing some problems, the author can conclude that the creation of a laundry services information system
Executive Decision Support System Implementation Strategies Based on Big Data Analytics to Improve Operational Efficiency and Corporate Governance in Global Digital Enterprises Asro Asro; Solihin Solihin; Irlon Irlon
Integrated System and Management Technology Vol. 1 No. 1 (2026): January: Integrated System and Management Technology
Publisher : Asosiasi Pengelola Jurnal Informatika dan Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66472/ismat.v1i1.13

Abstract

This study explores the transformative role of big data-driven Decision Support Systems (DSS) in global digital enterprises, particularly focusing on their impact on operational efficiency and corporate governance. By leveraging big data analytics, DSS offer organizations the tools to process vast amounts of real-time data, enabling executives to make more informed decisions that optimize resources, improve productivity, and reduce operational costs. The research highlights the integration of predictive analytics, machine learning, and real-time data processing within DSS, which allows businesses to gain strategic insights and anticipate market trends. Furthermore, the study emphasizes the significant role of DSS in enhancing corporate governance, improving transparency, accountability, and compliance with regulations. These systems foster better decision-making processes, which contribute to building trust among stakeholders and ensuring long-term organizational success. However, the study also identifies several challenges in implementing big data-driven DSS, including data management complexities, technological integration difficulties, and the need for skilled personnel. Despite these challenges, the findings demonstrate that big data-driven DSS are pivotal in driving competitive advantage, operational optimization, and governance improvements. The research concludes with actionable recommendations for executives to adopt and implement big data-driven DSS, emphasizing the importance of continuous support, training, and system integration. The study also suggests future research directions, including exploring the integration of emerging technologies like AI and IoT into DSS and assessing their long-term impact on sustainability and corporate governance.
Optimizing End to end Machine Learning Pipelines Using Hybrid Edge Cloud Architectures for Real Time Decision making Applications Asro Asro; Solihin Solihin; Irlon Irlon
Big Data Analytics and Data Science Vol. 1 No. 1 (2026): March: Big Data Analytics and Data Science
Publisher : Asosiasi Pengelola Jurnal Informatika dan Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66472/bdas.v1i1.22

Abstract

Real time decision making applications, such as those used in autonomous vehicles, smart cities, and industrial IoT, require fast, scalable, and accurate analytics to ensure timely responses and optimized operations. Traditional cloud-based systems face significant challenges in meeting these requirements due to high latency, limited scalability, and bottlenecks in data processing. This study explores the use of a hybrid Edge Cloud architecture to optimize End to end machine learning (ML) pipelines for real time applications. The proposed system offloads time-sensitive tasks to edge devices, while computationally intensive processes are handled by the cloud, ensuring efficient use of resources and reduced latency. Experimental results demonstrate that the hybrid model reduces inference latency by up to 70% compared to cloud-only systems, while maintaining model accuracy and increasing throughput. Additionally, the scalability of the hybrid architecture is highlighted, as it can handle large-scale data streams and adapt to varying workloads. The findings show that hybrid Edge Cloud architectures are well-suited for applications where fast decision making is critical, such as autonomous systems and real time analytics in smart cities. However, challenges remain in managing resources across edge and cloud systems, particularly in balancing computational loads and ensuring system reliability. Future research should focus on optimizing task partitioning, integrating advanced edge AI models, and exploring the use of 5G networks to enhance performance further. Overall, the study demonstrates the potential of hybrid Edge Cloud systems in overcoming the limitations of traditional cloud-based ML pipelines and provides insights into the future of real time data processing.