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Abstrak :
Reflects the collaboration and knowledge of working project managers, providing the fundamentals of project management as they apply to a wide range of projects. This internationally recognized standard provides the essential tools to practice project management and deliver organizational results. Updates include: Addition of a 10th Knowledge Area: Project Stakeholder Management; refined project data information and information flow; and the addition of four new planning processes: Plan Scope Management, Plan Schedule Management, Plan Cost Management and Plan Stakeholder Management.

Abstrak :

Masa pasca pandemi COVID-19 telah merubah perilaku perusahaan untuk lebih melek terhadap transformasi digital. Penerapan chatbot dalam dunia bisnis merupakan salah satu bentuk digitalisasi yang dapat meningkatkan keunggulan kompetitif untuk menghadapi persaingan yang semakin ketat. Namun sayangnya masih minim penelitian yang membahas efektivitas implementasi chatbot di Indonesia. Penelitian ini bertujuan untuk menganalisis pengaruh chatbot marketing efforts terhadap customer response melalui communication quality dan customer brand relationship pada pengguna Tanya Veronika di aplikasi My Telkomsel. Penelitian ini menggunakan pendekatan kuantitatif dengan teknik pengambilan melalui penyebaran kuesioner secara purposive sampling dengan Google Form kepada 196 responden yang merupakan pengguna aplikasi My Telkomsel, minimal berusia 18 tahun, dan pernah menggunakan fitur Tanya Veronika di aplikasi My Telkomsel minimal dua kali dalam satu tahun terakhir. Data yang diperoleh, diolah menggunakan SEM melalui SmartPLS 4.0. Hasil penelitian mengungkapkan bahwa customer response pada pengguna Tanya Veronika di aplikasi My telkomsel dipengaruhi secara positif dan signifikan oleh chatbot marleting efforts melalui communication quality dan customer brand relationship. ......The era of post-COVID-19 pandemic has driven changes in company behavior to emphasize awareness on digital transformation. The implementation of chatbots in the business sector is one of the forms of digitalization that can increase competitive advantage to compete in the increasingly tight competition. However, there is still a lack of research that discusses about the effectiveness of chatbot implementation in Indonesia. This study aimed to analyze the effect of chatbot marketing efforts on customer response through communication quality and customer brand relationship on Tanya Veronika's users in My Telkomsel application. This study used a quantitative approach with data collection techniques through distributing questionnaires using purposive sampling with Google Form to 196 respondents who are users of the My Telkomsel application, a minimum of 18 years old, and have used the Tanya Veronika feature in My Telkomsel application at the very least twice in the past year. The data obtained is processed using SEM through SmartPLS 4.0. The results revealed that customer response on Tanya Veronika's users in the My Telkomsel application is positively and significantly affected by chatbot marketing efforts through communication quality and customer brand relationship.

Abstrak :
Pencemaran udara sebagai dampak dari pertumbuhan industri dan aktivitas manusia telah menjadi perhatian global. Salah satu kategori polutan udara yang berbahaya bagi kesehatan manusia adalah particulate matter (PM) 2.5. Laporan IQAir mencatat rata-rata konsentrasi PM2.5 di Indonesia per tahun 2022 sekitar 30,4 mikrogram per meter kubik, atau enam kali lipat lebih besar dari standar aman WHO. Dalam menanggapi kompleksitas masalah ini, penelitian ini merancang sistem deteksi dini dan monitoring polutan PM2.5 berbasis komunikasi LoRa 920 MHz dan Internet-of-Things (IoT) dengan sensor low-cost DSM501A. Penggunaan komunikasi LoRa, dengan menggunakan modul LoRa RFM95 pada frekuensi 920 MHz, menawarkan jangkauan transmisi atau coverage yang luas. Hasil deteksi partikel particulate matter divisualisasikan dalam bentuk laman web berbasis React Vite, Tailwind CSS, dan Node.js. Pengujian QoS komunikasi LoRa dilakukan dengan memprediksi path loss dan RSSI dengan pendekatan Okumura-Hata, serta mengukur nilai aktual SNR, RSSI, dan PDR, pada 10 titik pengujian di kawasan Universitas Indonesia. Hasil pengujian menunjukkan transmisi sinyal LoRa berhasil terkirim pada 8 dari 10 titik pengujian, dengan rentang jarak dari 8 m hingga 362.43 m, dengan nilai RSSI yang variatif pada rentang -85.87 dBm hingga -111.27 dBm, nilai SNR pada rentang 8.30 dB hingga -8.83 dB, serta PDR% pada rentang 100 % hingga 12.5 %, yang menunjukkan bahwa variabel LoRa seperti spreading factor, bandwidth, dan frekuensi, maupun variabel lingkungan, seperti jarak, area lintasan propagasi, dan vegetasi sangat mempengaruhi QoS transmisi sinyal LoRa di kawasan urban. Sementara itu, pada periode 14 hari pengumpulan data, total rata-rata polutan PM2.5 berdasarkan kategori waktu adalah pada tanggal 4 Juni 2024, yakni 149.42 mikrogram per meter kubik. Berdasarkan total rata-rata PM2.5 harian, indeks tertinggi terdapat pada hari Rabu, 5 Juni 2024, yakni 113.35 mikrogram per meter kubik. Rata-rata tertinggi indeks PM2.5 berdasarkan kategori waktu selama 14 hari pengumpulan data adalah pada siang hari. ......Air pollution, as a consequence of industrial growth and human activities, has become a global concern. One of the categories of air pollutants that poses a significant threat to human health is particulate matter (PM) 2.5. The IQAir report recorded an average PM2.5 concentration in Indonesia in 2022 of approximately 30.4 micrograms per cubic meter, which is six times higher than the WHO's safe standard. In response to this complex issue, this study designs an early detection and monitoring system for PM2.5 pollutants based on 920 MHz LoRa communication and the Internet of Things (IoT) using the low-cost DSM501A sensor. The use of LoRa communication, utilizing the LoRa RFM95 module at a 920 MHz frequency, offers a wide transmission range or coverage. The detected particulate matter data is visualized in the form of a web page based on React Vite, Tailwind CSS, and Node.js. The QoS testing of LoRa communication is conducted by predicting path loss and RSSI using the Okumura-Hata model and measuring actual values of SNR, RSSI, and PDR at 10 test points within the University of Indonesia area. The test results indicate that LoRa signal transmission successfully reached 8 out of 10 test points, with distances ranging from 8 m to 362.43 m, with varying RSSI values between -85.87 dBm and -111.27 dBm, SNR values between 8.30 dB and -8.83 dB, and PDR% ranging from 100% to 12.5%, showing that LoRa variables such as spreading factor, bandwidth, and frequency, as well as environmental variables like distance, propagation path area, and vegetation, significantly affect the QoS of LoRa signal transmission in urban areas. Meanwhile, during the 14-day data collection period, the total average PM2.5 pollutants by time category was on June 4, 2024, at 149.42 micrograms per cubic meter. Based on the total daily average PM2.5, the highest index was on Wednesday, June 5, 2024, at 113.35 micrograms per cubic meter. The highest average PM2.5 index by time category during the 14-day data collection period was during the daytime.