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Meningkatkan Pengetahuan dan Minat Gen-Z untuk Berkarir di Dunia Startup dengan Webinar “Startup for Gen-Z: Is It Possible?” Slamet Slamet; Purwono Purwono; Sony Kartika Wibisono; Bala Putra Dewa
Jurnal Pengabdian Masyarakat - PIMAS Vol 1 No 3 (2022): Agustus
Publisher : LPPM Universitas Harapan Bangsa Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (764.913 KB) | DOI: 10.35960/pimas.v1i3.834

Abstract

Indonesia is one of the countries with the best startup developments in the world which ranks 6th in the country with the highest number of startups. However, the quality of Indonesian human resources, which are able to meet the qualifications of startup companies, is still low. To that end, the devotees do community service, namely by holding a webinar with the theme "Startup for Gen-Z, Is It Possible?". This webinar aims to motivate, increase knowledge, and provide guidance to webinar participants, especially Generation Z, for a career in the startup world. Gen-Z can be a founder or work in a startup company. In addition, Gen-Z can also take advantage of startups to start small businesses. The stages of implementing this service are analysis, problem determination, solutions offered, outcomes, and evaluation. Participants expressed a high level of satisfaction with the implementation of the webinar “Startup for Gen-Z: Is It Possible?” with an average satisfaction evaluation result of 4,635 Likert scale 1 to 5.
Sosialisasi Pemanfaatan Teknologi Sensor Air Bersih pada Desa Tanggap Bencana Longsor Purwono Purwono; Khoirun Nisa; Bala Putra Dewa; Sony Kartika Wibisono
Jurnal Pengabdian Masyarakat - PIMAS Vol 1 No 4 (2022): November
Publisher : LPPM Universitas Harapan Bangsa Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/pimas.v1i4.958

Abstract

Tlaga Village is one of the areas prone to landslides in Banyumas Regency. This village has experienced emergency situations because parts of its area have experienced landslides and caused various losses, both material and non-material. Every rainy season, this area is always threatened by landslides. The need for clean water in this village is quite difficult, especially when landslides occur. The location of this village is in the form of a plateau, so access to clean water is difficult, especially if an avalanche occurs. The quality of the water available during the rainy season is also quite dirty, which has a negative impact on public health. Based on these problems, the use of technology is proposed to ensure the basic need for clean water in disaster-prone areas. This community service utilizes technology such as internet-based products for mapping clean springs to measuring water quality. Mapping of springs is useful for facilitating the community in maintaining and supplying water. Clean water measurements such as the use of water quality technology sensors are also useful to make it easier to know the quality of water properly. Communities have received socialization to deal with the possibility of landslides which have an impact on the difficulty of access to clean water
Bridging the Gap: Implementasi Aplikasi Portofolio OBE untuk Evaluasi Pembelajaran yang Lebih Efektif dan Efisien Imam Ahmad Ashari; Retno Agus Setiawan; Arif Setia Sandi A.; Deny Nugroho Triwibowo; Anggit Wirasto; Iis Setiawan Mangkunegara; Sony Kartika Wibisono
Jurnal Pengabdian Pada Masyarakat METHABDI Vol 6 No 1 (2026): Jurnal Pengabdian Pada Masyarakat METHABDI
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methabdi.Vol6No1.pp50-56

Abstract

The implementation of the Outcome-Based Education (OBE) curriculum is often hindered by repetitive manual administration. This community service aims to facilitate digital transformation through SIMPOBE application assistance for 39 lecturers at Universitas Harapan Bangsa. The method involved a hands-on workshop covering assessment alignment, RPS standardization, and PPEPP-based raw score input. Evaluation results show the application successfully bridged the gap between curriculum data and evaluation reports. Efficiency significantly improved as the system automatically links assessment components to CPL/CPMK, eliminating redundant input. Most participants (scores 4 and 5) expressed readiness for independent implementation by April 2026. In conclusion, portfolio digitalization effectively reduces human error and administrative burdens, supporting accountable institutional academic quality enhancement.
Pendampingan Ibu Balita Melalui Model Edukasi Gizi Berbasis Aplikasi Digital untuk Pencegahan Stunting di Kabupaten Brebes Arif Setia Sandi A.; Deny Nugroho Triwibowo; Azhar Bashir; Sony Kartika Wibisono; Fitri Ayuningtyas; Iis Setiawan Mangku Negara
Jurnal Pengabdian Pada Masyarakat METHABDI Vol 5 No 2 (2025): Jurnal Pengabdian Pada Masyarakat METHABDI
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methabdi.Vol5No2.pp266-271

Abstract

Stunting is a chronic nutritional problem requiring sustainable intervention, particularly in priority areas such as Brebes Regency. Conventional nutritional interventions often lack sustainability in monitoring child growth and development. This program aims to evaluate the effectiveness of the Digital Application-Based Nutrition Education Model (Si Penting)—a collaboration between Universitas Harapan Bangsa and Universitas Muhammadiyah Brebes—in strengthening caregiver capacity. The activity was conducted in Bantarkawung Sub-district, involving 45 caregivers of toddlers aged 6–24 months. A one-group pre-test post-test design was employed. The intervention consisted of face-to-face nutrition education followed by training and mentoring on the Si Penting Digital Application for two weeks. This program emphasized intensive mentoring for caregivers to operate the application for independent monitoring. Results showed a significant increase in participants' knowledge and attitudes (p<0.05), followed by proactive behavioral changes in monitoring child growth. The intervention model was successful, as shown by a 95.6% adoption rate for the application. It is concluded that the Digital Application-Based Nutrition Education Model effectively helped caregivers improve their ability to monitor nutrition on their own and is suggested to be used alongside Posyandu services to create lasting benefits in lowering stunting risks.
Understanding the Role of Artificial Intelligence in Community and Home Nursing Care: A Systematic Literature Review Sony Kartika Wibisono; Oktavia Putri Handayani; Burhanuddin bin Mohd Aboobaider
Viva Medika Vol 18 No 3 (2025)
Publisher : LPPM Universitas Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/vm.v18i3.2225

Abstract

Community and home nursing care are increasingly central to health systems in response to population ageing, rising chronic disease burden, and the need to reduce avoidable hospital utilization. Artificial intelligence (AI) has emerged as a technological innovation with potential to support nursing practice in non-hospital settings. However, the role and implications of AI within community and home nursing care have not been systematically synthesized. This systematic literature review aimed to examine how AI supports community and home nursing practice, identify the types of AI technologies applied, and analyze their reported outcomes and implications for nursing care. The review followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A total of 237 records were identified through electronic database searches. After duplicate removal and screening, 38 full-text articles were assessed for eligibility, and 15 studies were included in the final qualitative synthesis. The included studies, published between 2024 and 2026, encompassed diverse methodological designs and were conducted in community-based, home health, telemonitoring, and mobile nursing contexts. The findings indicate that AI technologies primarily include machine learning–based predictive models, clinical decision support systems, telemonitoring platforms, digital wound assessment tools, and large language model–supported analytics are used to enhance risk prediction, remote monitoring, chronic disease management, and care coordination. Across studies, AI was associated with improved early detection of clinical deterioration, enhanced workflow efficiency, and potential reductions in hospital admissions. Nevertheless, effective implementation depended on nurse engagement, system usability, digital literacy, and organizational support. AI demonstrates substantial potential to strengthen community and home nursing care when integrated within a human-centered and ethically grounded framework that preserves professional nursing judgment.