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Refki Budiman
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Education Electrical & Electronics Engineering Health Professions Industrial & Manufacturing Engineering Other

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Strategi Pengendalian Suplai Air Bersih di PT. Semen Padang dengan Pemanfaatan Level Switch dan Siklus PDCA Refki Budiman; Queen Hesti Ramadhamy; Budi, Baik; Faizal, Jhonny
Jurnal Andalas: Rekayasa dan Penerapan Teknologi Vol. 5 No. 1 (2025): Juni 2025
Publisher : Electrical Engineering Department Faculty of Engineering Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jarpet.v5i1.112

Abstract

Water Plan (WP) is a clean water treatment unit that supplies water for residential areas, offices, and factory operations at PT Semen Padang. One of the main issues faced by WP is the low water level in the canal due to inadequate monitoring by operators, which can lead to operational disruptions and even production shutdowns. This study aims to develop a clean water supply control strategy by implementing an automatic monitoring system using a level switch based on the Plan-Do-Check-Action (PDCA) cycle. The research method begins with problem identification through an analysis of the operator's logbook, followed by determining priorities and root causes using the Strategic Risk Severity Matrix and the Nominal Group Technique (NGT). Improvement implementation is carried out by installing a level switch and an alarm in the operator room to ensure automatic water level monitoring. The evaluation results indicate a significant improvement in water supply quality, a reduction in operational disruption risks, and maintenance cost efficiency, with potential water savings reaching 450,000 m³ per month and a reduction in pump repair costs of Rp. 25,000,000. The implementation of this PDCA-based system has proven effective in enhancing the reliability of the clean water supply and supporting continuous improvement in WP PT Semen Padang. In the future, a similar approach can be applied to optimize water resource management in other industrial sectors.
Leveraging Naive Bayes Classification for Early Detection of Breast Cancer: A Data-Centric Diagnostic Approach Budi, Baik; Refki Budiman; Queen Hesti Ramadhamy
Jurnal Andalas: Rekayasa dan Penerapan Teknologi Vol. 5 No. 1 (2025): Juni 2025
Publisher : Electrical Engineering Department Faculty of Engineering Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jarpet.v5i1.114

Abstract

This study aims to develop a breast cancer detection model using two distinct approaches: the Naive Bayes algorithm for classification and the K-Means algorithm for clustering. The methodology involves the collection of diagnostic clinical feature data, data preprocessing for normalization, and the separate training and evaluation of each model. Naive Bayes is employed to classify breast cancer as malignant or benign based on training and testing datasets, while K-Means is applied to unlabeled data as an additional analytical method. The performance of the Naive Bayes classifier is assessed using a confusion matrix, whereas the clustering results from K-Means are evaluated based on cluster validity metrics. The results indicate that Naive Bayes achieves a high level of accuracy (93%) in breast cancer classification, while K-Means offers additional insights through data pattern clustering. Together, these approaches demonstrate potential to effectively support the medical diagnostic process.
Rekayasa Ulang Pendinginan Transformator Daya Tua dengan ONAF dan Evaluasi Berbasis PDCA untuk Efisiensi dan Keandalan Refki Budiman; Budi, Baik; Faizal, Jhonny
Jurnal Andalas: Rekayasa dan Penerapan Teknologi Vol. 5 No. 2 (2025): Desember 2025
Publisher : Electrical Engineering Department Faculty of Engineering Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jarpet.v5i2.118

Abstract

Transformator daya merupakan aset kritis dalam sistem kelistrikan industri, di mana kegagalannya dapat menyebabkan kerugian produksi yang signifikan. Studi kasus ini menginvestigasi serangkaian kegagalan berulang pada tiga unit transformator daya tua berkapasitas 30 MVA, 150/6,3 kV di PT Semen Padang, yang telah mengakibatkan terhentinya operasional pabrik. Kegagalan-kegagalan ini, yang termanifestasi sebagai kebocoran minyak, aktivasi Pressure Relief Device (PRD), dan trip pemutus daya, secara konsisten berkorelasi dengan suhu operasi yang tinggi. Melalui pendekatan metodologis yang terstruktur, termasuk analisis akar penyebab menggunakan diagram Ishikawa dan Nominal Group Technique (NGT), pemanasan berlebih (overheating) diidentifikasi sebagai penyebab dominan. Sebagai solusi, sebuah sistem pendingin paksa Oil Natural Air Forced (ONAF) otomatis diimplementasikan dengan biaya rendah
Co-Authors Budi, Baik Faizal, Jhonny Ramadhamy, Queen Hesti