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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Leverage, Engagement, Empowerment of Community (LeECOM) Journal Research of Social Science, Economics, and Management Journal of Islamic economics Perspectives (JIEP) Cahaya Pengabdian
Sitepu, Rismawati
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Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Economics, Econometrics & Finance Education Environmental Science Materials Science & Nanotechnology Physics Social Sciences Other

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Pemberdayaan Kelompok Keluarga Berdaya (KKB) melalui Pelatihan Menjahit, Craft untuk Mempersiapkan Entrepreneur Pemula di Perumahan Griya Candramas Desa Pepe, Kecamatan Sedati, Kabupaten Sidoarjo, Jawa Timur Sitepu, Rismawati; Nainggolan, Romauli; Dewi, Liliana; Siahaan, Salmon Charles P.T.; Soetedja, Venny
Jurnal Leverage, Engagement, Empowerment of Community (LeECOM) Vol. 5 No. 2 (2023): Jurnal Leverage, Engagement, Empowerment of Community (LeECOM)
Publisher : Universitas Ciputra Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37715/leecom.v5i2.3700

Abstract

Tujuan pengabdian masyarakat ini adalah mengembangkan model suksesi bisnis UKM, mempersiapkan entrepeneur sejati melaui pelatihan menjahit, memproduksi berbagai macam craft, serta memotivasi Kelompok Keluarga Berdaya (KKB). Memotivasi anggota Kelompok Keluarga Berdaya (KKB) dilakukan mengingat pendidikan nonformal seperti pelatihan ini sangat perlu dan urgent untuk memacu semangat agar tidak kendor dalam mengikuti pengembangan kelompok dan kemajuannya. Kegiatan ini berfokus pada satu kelompok KKB dan diharapkan akan berkembang kepada kelompok, wilayah yang lain dengan tetap melakukan inovasi-inovasi dalam bidang entrepreneur. Dengan adanya dukungan dari perangkat desa atau lurah setempat menjadikan kegiatan ini lebih spesifik dan sangat bermanfaat, serta mempermudah penyebaran informasi.  Adanya pelatihan menjahit, pembuatan berbagai macam craft ini diharapkan akan mampu meningkatkan prekonomian keluarga, yang pada gilirannya di samping meningkatkan prekonomian keluarga juga dapat memberikan kebahagian dan kesehatan bagi anggota kelompok anggota Kelompok Keluarga Berdaya (KKB) secara umum dan secara khusus.
Penguatan Kapasitas Wirausaha Kerajinan Handmade Melalui Digitalisasi dan Pelatihan SDM Vava, Muhammad Akhva Aulia N; Lazuardi, Muhammad Lazuardi F; Pranoto, Henry Susanto; Sitepu, Rismawati
Cahaya Pengabdian Vol. 1 No. 2 (2024): Desember 2024
Publisher : Apik Cahaya Ilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61971/cp.v1i2.126

Abstract

This research aims to improve creativity and production capacity in sustainable handicrafts by utilizing artificial intelligence (AI)-based technology as a step towards achieving the Sustainable Development Goals (SDGs). The methods applied include exposure and training on AI technology, as well as skills development designed to encourage increased creativity and productivity of local craftsmen. By using software such as Pebblely and Visionate, craftsmen can improve the efficiency and quality of products and production processes. In addition, these solutions help ensure consistent quality and increase the ability to meet market demand more effectively. This initiative is also in line with efforts to achieve the SDGs, especially in poverty alleviation and improving the welfare of local communities. By empowering the skills and creativity of craftsmen through the application of AI-based technology, as well as promoting the principles of SDGs, it is hoped that Handmade House can be an example of sustainable and inclusive local economic development
Do Servant Leadership Works in Police Departement? Sitepu, Rismawati; M. Said, Ilham
Journal of Islamic Economics Perspectives Vol. 4 No. 2 (2022): September (2022) Journal of Islamic Economics Perspectives
Publisher : Faculty of Islamic Economics and Business, State Islamic University of  Kiai Haji Achmad Siddiq Jember, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35719/jiep.v4i2.81

Abstract

In Servant leadership research there are 2 Gabs found here: 1) Servant Leadership cannot thrive in a hierarchical, authoritarian organization. 2) The second Gab, namely Servant Leadership, is rarely studied in the police field, research in the International Scopus Journal on Servant Leadership in the Literature Rivew System (1998-2018). The purpose of this study is to explore how servant leadership can be applied to the police department, because there was a previous study (wong page 2003) which stated that servant leadership could not be applied to the hierarchical structure of the bureaucracy. Design/methodology/approach-This qualitative research uses a narrative inquiry method within the framework of interpretive phenomenological analysis (Smith et al., 2009) to capture the experience of the task undertaken by the lead informant, namely the Key Informan at the Head of the Human Resources Bureau consisting of: 1) Head Planning and Administration Section (subbagrenmin), 2) Personnel Control Section (Bagdalpers); 3) Career Development Division (Bagbinkar); 4) Personnel Care Division (Bagwatpers); and 5) the Psychology Section (Bagpsi) of the East Java Regional Police. Finding :These studies show that servant leadership is found in hierarchical organizations,Contribution:The Regional Police of the East Java Region (POLDA JATIM) has become a model in advancing the Police throughout Indonesia, by showing: keep a smile, the reality of solid interactions between leaders and members (not rigid,intimacy), work with joy, member character becomes servant, member empowerment through find potential talent of members
Analysis of The Influence and Priority of Employer Branding Dimensions in Attracting Generation Z Job Applicants Honanta, Cindy; Sitepu, Rismawati; Nainggolan , Romauli
Journal Research of Social Science, Economics, and Management Vol. 5 No. 3 (2025): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v5i3.1141

Abstract

Employer branding is a strategy for attracting and retaining potential employees amidst increasingly fierce competition. This strategy is particularly relevant for Generation Z employees, a young generation with unique characteristics and high expectations for a flexible, meaningful, and innovative work environment. When choosing a job, they consider not only financial aspects but also company values, opportunities for personal development, and work-life balance. Therefore, developing employer branding that meets the needs and expectations of Generation Z employees is key to companies remaining competitive and attracting quality talent. This study analyses the influence and priorities of four dimensions of employer branding: economic value (salary and compensation), social value (work environment and culture), development value (learning and career opportunities), and interest value (innovation and challenges). The methods used were multiple linear regression and the Analytical Hierarchy Process (AHP), involving 200 respondents, consisting of final-year undergraduate students and fresh graduates majoring in Information Technology, Engineering, and Management in Indonesia. The results of the study indicate that interest value is the strongest and most prioritized factor in attracting prospective Generation Z employees to apply for jobs, followed by economic value, which also has a significant influence. Development value was not proven to be significant, while social value tended to have a negative influence. These findings provide practical recommendations for companies to develop effective employer branding strategies,
Reading Big Data by Machine Learning: The Used of Computer Science for Human Life Subagio, Hartono; Sitepu, Rismawati
Jurnal Penelitian Pendidikan IPA Vol 9 No 10 (2023): October
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9i10.4752

Abstract

Machine learning (ML) models use big data to learn and improve predictability and performance automatically through experience and data, without being programmed to do so by humans. Artificial Intelligence (AI) techniques are being increasingly deployed in finance, in areas such as asset management, algorithmic trading, credit underwriting or blockchain-based finance, enabled by the abundance of available data and by affordable computing capacity. The purpose of this study is to describe in detail how the power of artificial intelligence with its complex system can help the needs of digital technology in the banking sector. The research method used is the elaboration of great thoughts and facts about artificial intelligence. Scientific data is interpreted with analytical power that is as precise as possible, so as to produce a description that meets the logic of structured thinking. The data is taken from relevant and up-to-date literature, the work of scientists who have been disseminated in various weighty scientific publications at the world level. The report can help policy makers to assess the implications of these new technologies and to identify the benefits and risks related to their use. It suggests policy responses that that are intended to support AI innovation in finance while ensuring that its use is consistent with promoting financial stability, market integrity and competition, while protecting financial consumers. Emerging risks from the deployment of AI techniques need to be identified and mitigated to support and promote the use of responsible AI. Existing regulatory and supervisory requirements may need to be clarified and sometimes adjusted, as appropriate, to address some of the perceived incompatibilities of existing arrangements with AI applications.
Co-Authors Hartono Subagio Henry Susanto Pranoto Honanta, Cindy Kusmayati, Nindya Kartika Lazuardi, Muhammad Lazuardi F Liliana Dewi M. Said, Ilham Nainggolan , Romauli Romauli Nainggolan Siahaan, Salmon Charles P.T. Soetedja, Venny Suwangsih, Iwang Vava, Muhammad Akhva Aulia N Wihara, Dhiyan Septa