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All Journal Elkom: Jurnal Elektronika dan Komputer
Muhammad Bhayu Bramantyo
Politeknik Negeri Semarang
Education

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Audit Sistem Pencahayaan pada Gedung Sekolah B Politeknik Negeri Semarang Pangestuningtyas Diah Larasati; Adeguna Ridlo Pramurti; Adi Wasono; Lilik Eko Nuryanto; Septiantar Tebe Nursaputro; Muhammad Bhayu Bramantyo
Elkom: Jurnal Elektronika dan Komputer Vol. 19 No. 1 (2026): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v19i1.3817

Abstract

School Building B of Politeknik Negeri Semarang (POLINES) is an intensively used academic facility that requires a comprehensive evaluation of its lighting energy consumption. A lighting system energy audit was conducted using a quantitative descriptive method through direct measurements with a lux meter and laser meter. The results indicate that only 6 out of 41 rooms met the minimum illuminance standard of SNI 6197:2020, while 5 rooms exceeded the maximum LPD limit of 7.53 W/m², primarily due to the use of inappropriate lamp types and sizes relative to room dimensions, as well as performance degradation from aging lamps. Replacing conventional lamps with LED technology and adjusting the number of luminaires based on illuminance requirement calculations are recommended as corrective measures, which are proven to reduce LPD values below the maximum standard limit while improving visual comfort for building occupants.
Optimasi Algoritma XGBoost Berbasis SMOTE untuk Mengidentifikasi Faktor Logistik Pemicu Pembatalan Pesanan E-commerce Arif Fitra Setyawan; Thomas Tri Wibowo; Intan Laily Muflikhah; Muhammad Bhayu Bramantyo
Elkom: Jurnal Elektronika dan Komputer Vol. 19 No. 1 (2026): Juli : Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v19i1.3913

Abstract

Unilateral order cancellation by consumers is a major operational challenge in the Indonesian e-commerce industry, directly impacting supply chain inefficiency and inflating logistics costs. Computational modeling to predict this risk often faces hurdles such as class imbalance and vulnerability to data leakage. This study proposes an optimization of the Extreme Gradient Boosting (XGBoost) algorithm integrated with the Synthetic Minority Over-sampling Technique (SMOTE) using a multi-scenario feature analysis approach. The dataset used comprises real transaction records from a major e-commerce platform. Experiments were designed in two scenarios: Scenario 1 included all transactional features, while Scenario 2 excluded the dominant financial feature (Total Pembayaran) to test the model's pure dependency on pre-finalization variables. The test results showed that Scenario 1 yielded a pseudo-accuracy of 99.50% due to data leakage. After reconstruction in Scenario 2, the SMOTE-based XGBoost model produced a stable real performance with an Accuracy Score of 83.96% and an Area Under ROC (AUC) of 86,98%. Through Feature Importance analysis, this study successfully revealed that pure logistics factors, specifically "Ongkos Kirim Dibayar oleh Pembeli" (Shipping Fee Paid by Buyer) with an absolute importance weight of 77.10%, serve as the primary predictor and driver behind consumer order cancellations. These findings provide tactical contributions for e-commerce decision-makers in formulating shipping cost strategies and mitigating early operational risks.
Co-Authors Adeguna Ridlo Pramurti Adi Wasono Arif Fitra Setyawan Intan Laily Muflikhah Lilik Eko Nuryanto Pangestuningtyas Diah Larasati Septiantar Tebe Nursaputro Thomas Tri Wibowo