OPTIMALISASI EMS–BMS BERBASIS DATA UNTUK EFISIENSI ENERGI, KUALITAS DAYA LISTRIK, DAN REDUKSI EMISI KARBON PADA GEDUNG PERKANTORAN PREMIUM (STUDI KASUS: TRINITY TOWER JAKARTA)

SIREGAR, TUNAS (2026) OPTIMALISASI EMS–BMS BERBASIS DATA UNTUK EFISIENSI ENERGI, KUALITAS DAYA LISTRIK, DAN REDUKSI EMISI KARBON PADA GEDUNG PERKANTORAN PREMIUM (STUDI KASUS: TRINITY TOWER JAKARTA). S2 thesis, Universitas Kristen Indonesia.

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Abstract

Penelitian ini bertujuan untuk mengevaluasi implementasi sistem Energy Management System (EMS) yang terintegrasi dengan Building Management System (BMS) terhadap efisiensi energi, kualitas daya listrik, dan reduksi emisi karbon pada Gedung Trinity Tower Jakarta. Penelitian dilakukan menggunakan data operasional aktual gedung selama periode Januari–Desember 2025 dengan pendekatan analisis berbasis data (data-driven analysis). Metode penelitian meliputi analisis konsumsi energi, kualitas daya listrik, KNN, CUSUM, dan evaluasi emisi karbon berbasis data operasional aktual. Hasil penelitian menunjukkan bahwa implementasi EMS–BMS mampu menghasilkan penghematan energi sebesar ±1.356.577 kWh/tahun dengan efisiensi energi sekitar ±14–15%. Nilai Energy Efficiency Index (EEI) gedung tercatat sebesar ±106 kWh/m²/tahun yang menunjukkan kategori efficient building. Analisis kualitas daya menunjukkan nilai THDv sebesar 3–5%, THDi sebesar 5–8%, dan Power Factor sebesar ±0,95 yang masih memenuhi standar IEEE 519. Penghematan energi tersebut memberikan dampak ekonomi berupa pengurangan biaya listrik sekitar ±Rp 1,5 miliar per tahun dan reduksi emisi karbon sebesar ±1.153 ton CO₂ per tahun. Penelitian ini menunjukkan bahwa integrasi EMS–BMS berbasis data mampu meningkatkan efisiensi energi, menjaga kualitas daya listrik tetap stabil, serta mendukung strategi keberlanjutan dan dekarbonisasi pada gedung perkantoran modern. Kata Kunci: EMS–BMS, Efisiensi Energi, Kualitas Daya, KNN, CUSUM, Emisi Karbon. / This research aims to evaluate the implementation of an Energy Management System (EMS) integrated with a Building Management System (BMS) toward energy efficiency, electrical power quality, and carbon emission reduction in Trinity Tower Jakarta. The study was conducted using actual building operational data from January to December 2025 through a data-driven analysis approach. The research methods include energy consumption analysis, power quality evaluation (THDv, THDi, and Power Factor), KNN classification, CUSUM analysis, and carbon emission evaluation based on actual operational data. In addition, the impact of energy efficiency on carbon emission reduction was evaluated using the PLN electricity emission factor. The results indicate that the implementation of EMS–BMS achieved energy savings of approximately ±1,356,577 kWh/year with an energy efficiency improvement of about ±14–15%. The building’s Energy Efficiency Index (EEI) was approximately 106 kWh/m²/year, indicating an efficient building category. Power quality analysis showed THDv values of 3–5%, THDi values of 5– 8%, and a Power Factor of approximately ±0.95, which still comply with IEEE 519 standards. The achieved energy savings also generated economic benefits through electricity cost reduction of approximately ±Rp 1.5 billion per year and carbon emission reduction of approximately 1,153 tons CO₂ per year. This research demonstrates that data-driven EMS–BMS integration supports energy efficiency improvement, power quality stability, and carbon reduction strategies in modern office buildings. Keywords: EMS–BMS, Energy Efficiency, Power Quality, KNN, CUSUM, Carbon Emission.

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