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SUPPORTIVE-EDUCATIVE DALAM UPAYA MENINGKATKAN PENGETAHUAN KADER KESEHATAN TENTANG HIPERTENSI DI SEMARANG Qomariah, Siti Nur; Iswati, Iswati; Kristiani, Rina Budi; Warsini, Warsini; Kristanto, Budi; Diyono, Diyono
JMM (Jurnal Masyarakat Mandiri) Vol 10, No 2 (2026): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v10i2.37432

Abstract

Abstrak: Jumlah penyakit kronis di Indonesia meningkat setiap tahun, dengan hipertensi menduduki peringkat tertinggi di Kelurahan Plombokan Semarang. Kader kesehatan memainkan peran penting dalam masyarakat karena mereka membantu tenaga kesehatan dalam preventif dan promotif. Tujuan pengabdian untuk meningkatkan kapasitas kader kesehatan tentang pengetahuan hipertensi dan supportive educative. Kegiatan pengabdian masyarakat dilaksanakan selama 2 bulan lebih dengan mitra kader kesehatan Plombokan Semarang sejumlah 30 orang. Metode kegiatan dengan penyuluhan peran kader yang supportive educative dan materi hipertensi. Evaluasi kegiatan pengabdian dengan pre dan post tes. Hasil kegiatan didapatkan peningkatan signifikan pengetahuan. Sebelum pengabdian sebagian besar kader memiliki pengetahuan hipertensi cukup sebanyak 22 orang (73,3%), setelah pengabdian sebagian besar memiliki pengetahuan hipertensi baik sebanyak 18 orang (60%). Pengetahuan kader supportive dan educative meningkat dari pengetahuan baik 18 orang (63,3%) menjadi pengetahuan baik 30 orang (100%). Peran kader kesehatan semakin optimal dalam meningkatkan kualitas hidup masyarakat.Abstract: The number of chronic diseases in Indonesia is increasing every year, with hypertension ranking highest in Plombokan Village, Semarang. Health cadres play an important role in the community because they assist health workers in preventive and promotive activities. The purpose of this community service program is to increase the capacity of health cadres in terms of hypertension knowledge and supportive education. The community service activities were carried out for more than 2 months with 30 health cadres from Plombokan Village, Semarang, as partners. The activity method involved counseling on the supportive and educational role of cadres and hypertension materials. The community service activity was evaluated with pre- and post-tests. The results of the activity showed a significant increase in knowledge. Before the community service, most of the cadres had sufficient knowledge of hypertension, namely 22 people (73.3%). After the community service, most of them had good knowledge of hypertension, namely 18 people (60%). The knowledge of supportive and educational cadres increased from good knowledge in 18 people (63.3%) to good knowledge in 30 people (100%). The role of health cadres has become more optimal in improving the quality of life of the community.
Techno-Economic Optimization of Rooftop Photovoltaic Systems Using Genetic Algorithm for Government Building Kemenko 3 in Nusantara Capital City Sapruddin, Ayu Fitriah; Muhammad Yusuf Yunus; Dieta Wahyu Asry Ningtias; Nurriza Kholifatulloh Hasanah; Diyono, Diyono
INTEK: Jurnal Penelitian Vol 13 No 1 (2026): April 2026
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/intek.v13i1.6351

Abstract

Rooftop photovoltaic (PV) systems installed on government buildings play an important role in supporting the energy transition and reducing carbon emissions, particularly in rapidly developing urban areas. However, conventional rooftop PV system designs are typically based on deterministic simulations that focus primarily on maximizing energy production, while technical and economic performance indicators are rarely optimized simultaneously. As a result, many installations may experience suboptimal system sizing, lower self-consumption, and higher energy costs. This study proposes a techno-economic optimization framework for an on-grid rooftop PV system installed at Government Building Kemenko 3 in the Nusantara Capital City (IKN), Indonesia. The proposed approach integrates PVsyst-based baseline simulation with a Genetic Algorithm (GA) implemented in Python to optimize key design variables, including module tilt angle, azimuth angle, and system capacity. The optimization simultaneously considers multiple performance indicators, namely annual energy production, self-consumption rate (SCR), self-sufficiency rate (SSR), and the Levelized Cost of Energy (LCOE). The optimization results indicate that the optimal configuration is achieved with a tilt angle of 1.09° and an azimuth angle of 8.58°, resulting in an installed capacity of 79.80 kW and an annual energy production of 164,114.63 kWh. The optimized system achieves an LCOE of 0.0590 USD/kWh, with an SCR of 72.76% and an SSR of 51.85%, demonstrating efficient utilization of locally generated solar energy. These results confirm that GA-based optimization can significantly improve both the technical performance and economic competitiveness of rooftop PV systems, providing a practical framework for optimizing PV deployment in government buildings in tropical regions.