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All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Teknik Informatika UNIKA Santo Thomas Barometer JATI (Jurnal Mahasiswa Teknik Informatika) JPKMI (Jurnal Pengabdian Kepada Masyarakat Indonesia) JEBDEKER: Jurnal Ekonomi, Manajemen, Akuntansi, Bisnis Digital, Ekonomi Kreatif, Entrepreneur Instal : Jurnal Komputer Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) JURNAL TEKNOLOGI INFORMASI & KOMUNIKASI DALAM PENDIDIKAN Linear : Jurnal Ilmu Pendidikan Electron: Jurnal Ilmiah Teknik Elektro
Lisa Melvi Ginting
Universitas Negeri Medan
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Physics Public Health Social Sciences Other

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Analysis of the Implementation of the Contextual Science Teaching Factory Learning Model at the Medan City Center of Excellence Vocational School Saut Purba; Marjuang Purba; Keysar Panjaitan; Abdul Hasan; Lisa Melvi Ginting
Jurnal Penelitian Pendidikan IPA Vol 10 No SpecialIssue (2024): Science Education, Ecotourism, Health Science
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10iSpecialIssue.7973

Abstract

This research aims to describe and determine the implementation of the Contextual Science Based Teaching Factory learning model at the Medan City Center of Excellence Vocational School and the factors inhibiting the implementation of the Contextual Science Based Teaching Factory learning model at the Medan City Center of Excellence Vocational School. This research is a qualitative descriptive study. The subjects in this research were 10 teachers who taught, 10 industrial partners and. and 25 class XI students at the Excellence Central Vocational School, Medan City. Data collection techniques were carried out using unstructured interviews and closed questionnaires. Before the research instrument is used, a validity test is first carried out using the Pearson Product Moment Correlation formula and a reliability test using the Cronbach's Alpha formula. The results of this research found that in the Context aspect it went well, in the Input aspect it went well and in the Process aspect it also went well but in the Product aspect it still went less well. Through this research it is hoped that the role of the stakeholders will be more optimal so that the Teaching Factory learning model is Contextually Based Science can proceed according to expectations.  
Optimasi Penempatan dan Penentuan Kapasitas Distributed Generator Menggunakan Cucko Search Algorithm untuk Mengurangi Rugi Daya Yoakim Simamora; Muhammada Aulia Rahman S; Mega Silfia Dewy; Agnes Irene Silitonga; Lisa Melvi Ginting
ELECTRON Jurnal Ilmiah Teknik Elektro Vol 6 No 2: Jurnal Electron, November 2025
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/electron.v6i2.409

Abstract

Power losses in electrical distribution systems remain a major challenge that significantly impacts energy efficiency and system reliability. One promising approach to address this issue is the optimal placement and sizing of Distributed Generators (DGs) within the distribution network. This study aims to optimize DG placement and capacity using the Cuckoo Search Algorithm (CSA) and to compare its performance with several other algorithms, namely the Black Squirrel Optimization Algorithm (BSOA), Sine Cosine Algorithm (SCA), Teaching Learning Based Optimization - Grey Wolf Optimizer (TLBO-GWO), and GWO. The study was conducted on the IEEE 33-bus test system under two scenarios, with the initial condition of the distribution system exhibiting a power loss of 202.7 kW. In First Case Study, CSA achieved the lowest power loss of 105.31 kW, corresponding to a 48.05% reduction. In contrast, BSOA and TLBO-GWO reduced losses to 116.67 kW (42.44%) and 128.46 kW (36.62%) respectively. In Second Case Study, CSA again demonstrated superior performance with a loss reduction of 56.66%, outperforming SCA (56.33%), BSOA (55.97%), and GWO (55.82%). The optimal DG placement and sizing significantly improved overall system efficiency. The results indicate that CSA possesses strong exploration and convergence capabilities in identifying optimal DG configurations. Its application enables greater reduction in power losses while also enhancing voltage profiles and system stability. These findings suggest that CSA is an effective and competitive method for power distribution optimization involving distributed generation
Co-Authors Abdul Hasan Agnes Irene Silitonga Argaretha, Frida Marta Bakti Dwi Waluyo Erita Astrid Hafiz, Fahrul Al-hamdi Harahap, Vivi Ramayanti Hasianna Nopina Situmorang Hasianna Situmorang Hutahaean, Harvei Desmon Immanuel, Michael Fritz Keysar Panjaitan Lubis, Azmi Rizki Marjuang Purba Mega Silfia Dewy, Mega Silfia Mendoza, Mhd. Dominique Muhammad Isnaini Muhammada Aulia Rahman S Panjaitan, Gabriella Dominggoes Sari, Ressy Dwitias Saut Purba Sembiring, Muhammad Aulia Rahman Silalahi, Sudi Satria Sinaga, Ferry Indra Sakti H Situmorang, Hasianna Nopina Tumangger, Emya Malum Karina Yoakim Simamora