Claim Missing Document
Check
Articles

Found 3 Documents
Search

Peningkatan Kapasitas Tenaga Kerja terhadap Pembangunan Berkelanjutan dan Efisiensi Energi pada Proyek Gedung PTTUN Medan Nugraha, Adhita; Ginting, Yeshi Ulina Utami; Suranto, Suranto; Marini, Marini; Aisyah, Chairini; Pasaribu, Widi Sriwahyuni; Bahri, Taufik Yuandika; Siregar, Afrizal Ramadhan
Wahana Jurnal Pengabdian kepada Masyarakat Vol. 4 No. 1 (2025): Edisi Juni
Publisher : Ilmu Bersama Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56211/wahana.v4i1.1111

Abstract

Kegiatan pengabdian kepada masyarakat ini dilaksanakan untuk meningkatkan kapasitas tenaga kerja proyek konstruksi dalam memahami dan menerapkan prinsip pembangunan berkelanjutan dan efisiensi energi. Kegiatan dilaksanakan di proyek pembangunan Gedung Pengadilan Tinggi Tata Usaha Negara (PTTUN) Medan, dengan sasaran 56 orang pekerja yang terlibat langsung dalam pekerjaan struktur dan sistem MEP. Metode yang digunakan meliputi edukasi lapangan melalui presentasi, diskusi, demonstrasi teknis, pemasangan media visual, serta evaluasi observatif. Materi edukasi mencakup efisiensi energi, pengelolaan limbah konstruksi berbasis prinsip Reduce, Reuse, Recycle (3R), serta keselamatan dan kesehatan kerja (K3). Hasil kegiatan menunjukkan terjadinya perubahan signifikan pada perilaku kerja, seperti pencatatan volume beton yang akurat, rotasi penggunaan alat berat, pemilahan limbah untuk digunakan kembali, dan peningkatan kepatuhan terhadap prosedur kerja melalui SOP visual. Lingkungan kerja menjadi lebih bersih, tertib, dan aman dengan penurunan insiden kerja ringan. Model edukasi ini terbukti efektif dalam mendukung pencapaian standar green construction dan berpotensi direplikasi pada proyek serupa secara luas.
The Acceleration of Ev User in Medan: Through The Implementation of Marketing Mix and Ev Policy Pasaribu, Widi Sriwahyuni; Aisyah, Chairini; Bahri, Taufik Yuandika
Jurnal Teknologi dan Manajemen Vol 6, No 2 (2025): July
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat ITATS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.jtm.2025.v6i2.7585

Abstract

Electric Vehicles (EV) are an important pathway for decarbonizing transportation and a form of renewable energy as an environmentally friendly technology to accelerate sustainable development. This is in line with the Indonesian government's target in the Nationally Determined Contribution (NDC) document of reducing emissions by 31.89% in 2030. This paper aims to find out the government policies in accelerating the use of EV in Indonesia, especially in the city of Medan. Semi-structured interviews were done supported by voice note recordings, data collection, and observations of informants who were directly involved in the social conditions studied, that were those from four EV dealers in Medan City and additional informants, who were consumers who already use EV and the community, who have not used an electric vehicle, but know about the existence of the electric vehicle. The result the current policy has resulted in an increase in sales of 50% -60% and the use of EV in the city of Medan by 30%. Policies such as exemption from toll fees, parking in public places, and parking spaces that are easily accessible for electric vehicle drivers are needed. Apart from that, certainty is also needed regarding the policy on entry fees and EV impor taxes, which will affect EV production, especially pricing and variation. In conclusion, the policy cannot stand alone but is supported by a 4P marketing mix strategy (price, product, place, and promotion).Keywords: Electric Vehicle (EV), Marketing Strategy, Policy Incentive, Policy Option 
A Hybrid PULTS–SWARA–ELECTRE-I Model for Multi-Criteria Political Sentiment Classification on Indonesian Twitter Data Bahri, Taufik Yuandika; Aisyah, Chairini
Sinkron : jurnal dan penelitian teknik informatika Vol. 9 No. 4 (2025): Articles Research October 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i4.15314

Abstract

Social media platforms such as Twitter have become crucial for analyzing political sentiment, particularly in contexts where public opinion shifts rapidly. This study proposes a hybrid classification model that combines Probabilistic Uncertain Linguistic Term Set (PULTS), Stepwise Weight Assessment Ratio Analysis (SWARA), and ELimination Et Choice Translating REality (ELECTRE-I). Using a dataset of 7,800 tweets collected between January and July 2024 covering five major political parties in Indonesia, the model classifies tweets into positive, negative, and neutral sentiments. To address class imbalance, Easy Data Augmentation (EDA) was applied, while Term Frequency–Inverse Document Frequency (TF-IDF) was used for feature extraction. The results show that the proposed model achieves 90% accuracy and an F1-score of 85%, outperforming baseline methods such as SVM (86.7%), Naïve Bayes (83.3%), Decision Tree (88%), and K-Means (76.7%). These improvements demonstrate that the integration of linguistic uncertainty with expert-driven feature weighting provides measurable advantages in political sentiment classification. Beyond performance, the study contributes theoretically by extending multi-criteria decision-making methods into sentiment analysis and by offering a more interpretable alternative to opaque machine learning models. Together, these findings highlight the practical value of explainable decision frameworks for political communication while advancing methodological approaches for analyzing sentiment under uncertainty.