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Digital Hr : Digital Transformation In Increasing Productivity In The Work Environment Ananda Roro Wulandari; Afninda Ainun Arvi; Mohammad Irfandi Iqbal; Fatrining Tyas; Indra Kurniawan; Mochammad Isa Anshori
Jurnal Publikasi Ilmu Manajemen Vol. 2 No. 4 (2023): Desember: Jurnal Publikasi Ilmu Manajemen
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupiman.v2i4.2729

Abstract

Digitalization in human resource management (HRM) has become a vital element in the digital era, enabling companies to evolve in a modern way and gain a competitive edge. This research explores the benefits of digitalization, including enhanced operational efficiency, data-driven decision-making, and improved employee experiences. However, the study also identifies data security risks and workplace culture changes associated with digital transformation. HRM plays a crucial role in managing these changes by understanding the dynamics among generations of employees, fostering cross-generational communication, and utilizing technology wisely. Successful HRM strategies involve integrating new policies, preserving organizational values, and managing diversity. Effective HRM leadership entails policy formulation, communicating a vision for change, building strong relationships with employees, and efficient technology integration. Concrete steps include training to optimize technology usage, understanding the unique needs of different employee generations, and creating a work culture that supports digital transformation. By considering these aspects, organizations can navigate change with readiness, strengthen HRM performance, and adapt to the evolving dynamics of the working world.
Pengujian Model Pristianto Untuk Memprediksi Laju Ifiltrasi di Sub Das Klawalal Kelurahan Majaran Gabriella Claudia M. Philips; Hendrik Pristianto; Indra Kurniawan; Marina Abriani Butudoka; Intan Iriani Supriatna
Jurnal Ilmiah Teknik Sipil (JIMATS) Vol. 5 No. 01 (2026): Jurnal Ilmiah Teknik Sipil (JIMATS)
Publisher : Universitas Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33506/jimats.v5i01.5484

Abstract

Penelitian ini bertujuan untuk menguji akurasi Model Pristianto dalam memprediksi laju infiltrasi di Sub DAS Klawalal, Kelurahan Majaran, Kabupaten Sorong. Laju infiltrasi merupakan salah satu parameter penting dalam pengelolaan sumber daya air, terutama dalam mitigasi banjir dan erosi. Penelitian ini menggunakan enam titik pengamatan dengan pengujian langsung di lapangan menggunakan double ring infiltrometer serta pengujian laboratorium untuk menentukan sifat fisik tanah seperti kadar air, porositas, dan kandungan pasir. Hasil pengamatan lapangan dibandingkan dengan prediksi Model Pristianto melalui pendekatan grafik dan statistik menggunakan parameter R², NSE (Nash Sutcliffe Efficiency), dan RSR (Root Mean Square Error Standardized). Hasil penelitian menunjukkan bahwa tingkat akurasi Model Pristianto bervariasi pada setiap titik, dengan nilai NSE tertinggi sebesar 0,39 dan nilai RSR terendah sebesar 0,77, yang menunjukkan bahwa model ini berada pada kategori tidak memuaskan menurut klasifikasi kinerja model hidrologi. Oleh karena itu, model ini memerlukan penyesuaian lanjutan terhadap kondisi spesifik tanah di wilayah tersebut agar dapat digunakan secara lebih efektif.
Performance Evaluation of IoT Communication Protocols (LoRa, Wi-Fi and Zigbee) for Smart Environment Fahmi, Arif Fahmi; Indra Kurniawan; Junaedi Adi Prasetyo
ZETROEM Vol 8 No 1 (2026): ZETROEM
Publisher : Prodi Teknik Elektro Universitas PGRI Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36526/ztr.v8i1.6414

Abstract

The Internet of Things (IoT) constitutes a core component in the development of Smart Environment systems for real-time environmental monitoring. Selecting an appropriate communication protocol remains a major challenge, particularly in semi-rural areas characterized by limited network infrastructure and heterogeneous geographical conditions. This study aims to evaluate and compare the performance of three IoT communication protocols, namely LoRa, WiFi (ESP32), and Zigbee (XBee), through real-field prototype-based testing conducted in the semi-rural region of Banyuwangi. The evaluated parameters include communication range, transmission latency, and packet delivery ratio (PDR). The experiments were performed by periodically transmitting data packets under multiple distance scenarios. The results indicate that LoRa achieves the longest communication range of approximately ±1750 meters with an average latency of 2.1 seconds, WiFi exhibits the lowest latency of about 0.2 seconds with an effective range of ±200 meters, while Zigbee demonstrates stable transmission performance with a PDR of 100% up to a distance of ±600 meters. The main contribution of this study lies in providing empirical performance data obtained from real-field experiments in a semi-rural Indonesian environment, which can serve as a reference for selecting appropriate IoT communication protocols for Smart Environment implementations.
Implementasi High Availability AWS pada Situs Web Berbasis Framework CodeIgniter Akrim Teguh Suseno; Indra Kurniawan; Mohammad Reza Maulana
Jurnal Publikasi Sistem Informasi dan Manajemen Bisnis Vol. 5 No. 2 (2026): Mei : Jurnal Publikasi Sistem Informasi dan Manajemen Bisnis
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupsim.v5i2.7122

Abstract

This study focuses on designing and implementing a High Availability (HA) architecture for a web application built with CodeIgniter using Amazon Web Services (AWS). The objective is to enhance system reliability while minimizing downtime. A prototype-based research method is applied, allowing iterative development, testing, and evaluation of the system. The proposed architecture utilizes an Application Load Balancer (ALB) to distribute incoming traffic efficiently, multiple Amazon EC2 instances deployed across different Availability Zones for redundancy, and Amazon RDS with replication to ensure database reliability and consistency. Performance testing includes both load testing and failure simulation scenarios. The results indicate that the system achieves an average response time between 120 and 180 milliseconds under normal conditions and remains stable when handling concurrent users. During failure testing, the system successfully performs failover in under 10 seconds without noticeable service disruption. Additionally, database replication maintains data integrity with no detected data loss, confirming improved availability, scalability, and reliability.