RELASI DENGAN TEMAN, MODE KOMUNIKASI, DAN SUBJECTIVE WELL- BEING ANAK DAN REMAJA PADA TAHUN KEDUA PANDEMI COVID-19

Pandemi COVID-19 telah memasuki tahun kedua dan membatasi relasi sosial anak dan remaja dengan teman- temannya. Penelitian ini bertujuan menguji persepsi anak dan remaja mengenai relasinya dengan teman di masa pandemi terhadap subjective well-being (SWB) serta menguji mode komunikasi yang digunakan oleh anak dan remaja untuk berinteraksi dengan teman yang berperan terhadap SWB. Partisipan penelitian ini (N = 1,657; 45.1% perempuan; 54.9% laki-laki) adalah anak dan remaja usia 10-18 tahun (M = 14.85) di Jawa Barat. Pengambilan data dilakukan secara dalam jaringan (daring) menggunakan Google Form dengan teknik sampling convenience. SWB diukur menggunakan Children’s Worlds Subjective Well-Being Scale 5 items (CW-SWBS5), sedangkan persepsi mengenai relasi dengan teman diukur menggunakan alat ukur relasi dengan teman dari Children’s Worlds. Data dianalisis menggunakan regresi linear berganda dan analisis deskriptif menggunakan ANOVA. Hasil menunjukkan persepsi anak bahwa mereka memiliki teman yang cukup, teman yang biasanya baik, dan teman yang memberikan dukungan saat anak memiliki masalah, berkontribusi positif terhadap SWB anak, di mana skor SWB secara signifikan lebih tinggi dibandingkan skor SWB anak yang mempersepsi tidak memiliki cukup teman, teman biasanya tidak baik, dan teman tidak memberikan dukungan saat anak memiliki masalah. Penggunaan mode komunikasi voice call, Twitter, video call, dan Instagram yang digunakan untuk berinteraksi dengan teman pada tahun kedua pandemi dapat memprediksi SWB anak dan remaja. Guna mempertahankan tingkat SWB anak dan remaja di masa pandemi, hendaknya orang tua mengizinkan anak tetap menjalin relasi sosial dengan teman-temannya menggunakan mode komunikasi daring di masa pembatasan jarak sosial di bawah supervisi orang tua.

The Experiences of Students in Using Online Learning Platform During the Covid-19 Lockdown in Indonesia

This study explores students’ experience using online learning during the COVID 19 in Indonesia. The study employed qualitative data from an online questionnaire and interview through WhatsApp voice call. The experience of the five students during their learning online was examined, analyzed, and described. The findings showed that the five students revealed cognitive and affective responses. There were general themes presented in their responses, including (a) Prefer to study in a real classroom, (b) Creative teachers provide many learning strategies and are consistent, (c) Feeling bored and tired while studying online, (d) Family and technological support.

IOT BASED APPROACH FOR REMOTELY MONITORING AND ALARMING A DROWSY DRIVER

There are a lot of road accidents that occur due to drowsy driving. Drowsy driving is when the driver of a vehicle is found to be sleepy and probable to get into a car crash because of the same. Being drowsy might cause the driver to lose concentration from the road, and also reduce the reaction time. Statistics suggest how thousands of deaths and crashes happen every year due to it. Major victims of such crashes tend to be the commercial drivers who need to drive long distances overnight. Our project intends to propose a solution to this problem by providing an Internet of Things based approach. This approach monitors the driver’s face while he or she is driving the vehicle and in case if the driver is to be found falling asleep, an instant voice call is made to the driver’s registered phone number. Additionally, a text message is also sent to the driver’s emergency contact which will get him/her notified and provide the driver with quick assistance if needed. This approach is unique and different in its own way as it provides cross platform support and remote monitoring of the driver. Additionally, it also makes drowsy-detection ‘device independent’. It offers a simplified mechanism to derive real time accurate results and readings with reduced complexities. This project does have a lot of scope, especially considering that there is a lack of methodologies currently being implemented to prevent road accidents due to drowsy driving. KEYWORDS- Drowsy Driving, Monitoring, Machine Learning, Internet of Things, Remote, Algorithm, Eye Aspect Ratio, Python.

Development of Voice Call Transfer Service between Android Smart Phone and Tablet

Everyone necessitate communication technology in this information era. By use of modern technology, everyone should prefer wireless service without using bundle of wires. Colleges, shopping malls, corporate offices, coffee shops, construction buildings and restaurants provide Wi-Fi service to customers. Wi-Fi service allows data and voice transmissions over connected devices in same network. Proposed paper presents development of voice call transfer service that processes incoming telephone call which uses Wi-Fi as communication medium for voice transmission between smart phone and tablet. The proposed method allows real time communication transferred over wifi using IP between smart phone and tablet at no cost. Wi-Fi enabled smart phone and tablet are connected to the router or wifi access point to provide communication between caller and tablet user. Proposed paper develops cost effective, easy and reliable voice communication over Wi-Fi which provides good and comfort experience to user.

Mobile nudges and financial incentives to improve coverage of timely neonatal vaccination in rural areas (GEVaP trial): A 3-armed cluster randomized controlled trial in Northern Ghana

Background Despite progress in vaccination coverage, timeliness of childhood vaccination remains a challenge in many settings. We aimed to assess if mobile phone-based reminders and incentives to health workers and caregivers could increase timely neonatal vaccination in a rural, low-resource setting. Methods We conducted an open-label cluster randomized controlled 1:1:1 trial with three arms in 15 communities in Northern Ghana. Communities were randomized to 1) a voice call reminder intervention; 2) a community health volunteer (CHV) intervention with incentivized rewards; 3) control. In the voice call reminder arm, a study staff member made voice calls to mothers shortly after birth to encourage vaccination and provide personalized information about available vaccination services. In the incentive arm, CHVs promoted infant vaccination and informed women with recent births about available vaccination opportunities. Both CHVs and women were provided small monetary incentives for on-time early infant vaccination in this arm, delivered using mobile phone-based banking applications. No study activities were conducted in control communities. A population-based survey compared vaccination coverage across arms in the pre-intervention and intervention periods. The primary endpoint was completion of at least one dose of Polio vaccine within 14 days of life and BCG vaccination within 28 days of life. Results Six-hundred ninety births were identified; 106, 88, and 88 from pre-intervention and 150, 135, and 123 in the intervention period, in the control, voice call reminder and CHV incentive arms, respectively. In adjusted intent-to-treat analysis, voice call reminders were associated with 10.5 percentage point (95% CI: 4.0, 17.1) higher coverage of on-time vaccination, while mobile phone-based incentives were associated with 49.5 percentage point (95% CI: 26.4, 72.5) higher coverage. Conclusion Community-based interventions using mobile phone technologies can improve timely early vaccination coverage. A CHV approach with incentives to community workers and caregivers was a more effective strategy than voice call reminders. The impact of vaccination “nudges” via voice calls may be constrained in settings where network coverage and phone ownership are limited. Trial registration This trial was registered at ClinicalTrials.gov; NCT03797950.

AI based satisfaction survey of patients in fever clinics during the outbreak of COVID-19

Background: We assessed patient by automated survey method in understanding and satisfaction with the use of fever clinic, and observed the effectiveness of this method. Methods: Total 873 patients in fever clinc at Jiangsu Province Hospital (JSPH) from 20 January 2019 to 18 June 2020 were investigated by an antomated survey method conbined by Wechat, Short Message Service (SMS) and AI voice call. Responses were assessed for overall positivity or negativity and further compared according to patients types (isolated patients and non-isolated patients). Responses were also described and compared for each type of survey. Results: A total of 379 patient surveys were returned, for a total response rate of 43.4%. Isolated and non-isolated patients responses were similar and all with more than 90% satisfaction. Most isolated patient represent that the medical staff had explained to them the reason for the isolation and know that can helps prevent COVID-19. AI voice calls had the highest percentage of all response types, followed by WeChat and SMS. Conclusion: The patient has a positive response to the use of fever clinic. The automated survey method combine by different survey types can bring great convenience to the investigation while ensuring good investigation efficiency.

PENENTUAN WAKTU DAN METODE IMPLEMENTASI VOLTE PADA JARINGAN LTE (STUDI KASUS DI TELKOMSEL)

Teknologi 4G LTE diimplementasikan untuk meningkatkan kualitas dan speed layanan data, image perusahaan, dan interoperability dengan operator lain. Penelitian ini menganalisis VoLTE sebagai alternatif layanan voice di atas jaringan LTE dengan keterbatasan bandwidth frekuensi, tetapi kontribusi layanan voice yang masih tinggi pada studi kasus di Telkomsel. Penggunaan VoLTE merupakan tahapan selanjutnya setelah voice CS fallback. Tujuan dari penelitian ini adalah membangun sebuah model untuk menilai kelayakan implementasi VoLTE dengan berbagai skenario waktu dan metode teknologi dalam rangka menurunkan nilai risiko dari implementasi LTE, sehingga dapat menentukan waktu dan metode yang tepat bagi implementasi fitur layanan VoLTE pada jaringan LTE dengan dua cara yaitu sistem SRVCC (Single Radio Voice Call Continuity) atau langsung pada sistem PS handover. Metoda penelitian yang digunakan adalah komplementer atau triangulation dengan ilmiah dan alamiah, dengan menggunakan statistik regresi, variabel acak berlainan, perhitungan bandwidth, dan nilai bisnis. Disamping itu untuk menghitung nilai risiko dari probabilistik ketidakpastian, maka digunakan analisis sensitivitas dan analisis risiko melalui simulasi Monte Carlo. Hasil yang diharapkan adalah optimalisasi dan efisiensi penggunaan bandwidth serta pembuktian hipotesis tentang studi kelayakan proyek implementasi layanan VoLTE.