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PELATIHAN PENGOLAHAN LIMBAH PERTANIAN DI DESA NGEPOSARI Yessi Jusman; Ahmad Zaki; Masayu Alya Nuraini; Wikan Tyassari
Jurnal Pengabdian Masyarakat Multidisiplin Vol 7 No 1 (2023): Oktober
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/jpm.v7i1.3861

Abstract

One potential source of biomass energy to be processed is agricultural waste. Seeing the potential of corn cultivation owned by the people of Ngeposari Village, corn waste processing is considered to have opportunities in economic terms. Corn weevils have been used by residents to make embers without further processing. Household waste and agricultural waste often harm society. Waste that is a leftover or discarded product is always considered unusable. The existing waste accumulates and has a negative effect. Proper processing of waste can open up new business opportunities. Agricultural waste is one biomass energy source with high selling value but has yet to be widely utilized. The service team offers solutions to revive UMKM in Ngeposari Village, Gunung Kidul, and increase community business opportunities through this service program. Several pieces of training were conducted to increase the skills of residents, namely training in making briquettes from corn stalks and training in making organic fertilizer.
Prediction Damage Factor Classification of Airport Pavement using Machine Learning Ibrahim Farah Abdalrahman Abdalla; Sri Atmaja P. Rosyidi; Ahmad Zaki; Slamet Riyadi
Prosiding Seminar Nasional Teknik Sipil UMS 2026: Prosiding Seminar Nasional Teknik Sipil UMS
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Airport pavements experience continuous stress from operating large aircraft, compromising their structural integrity. Maintaining pavement resilience is crucial for ensuring flight safety. The Damage Factor (DF) is a crucial metric for evaluating the cumulative effect of aircraft loads on surface conditions. Accurate damage assessment and prediction are crucial for strategic maintenance planning and operational stability. This research examines the capacity of advanced mathematical methodologies, particularly machine learning, to identify and predict damage determinants. The researchers created sophisticated models that utilize extensive datasets, encompassing historical pavement performance records, aircraft movements, meteorological data, and material characteristics. The study aimed to enhance prediction capabilities using advanced algorithms, including random forest, logistic regression approaches linear SVM, tree and ensemble models. The findings indicated that the Majority Voting (MV) (random forest, decision tree and logistic regression) model attained the highest test accuracy of 81.82%, and ROC AUC value 0.8461, validating its robust capacity to accurately discern data patterns. Conversely, the naïve Bayes model exhibited markedly inferior performance, with a test accuracy of only 52.27%, underscoring its limited applicability to the dataset compared to alternative methodologies. The results reveal that the exceptional performance of the (MV) classification effectively identify underlying patterns in airport pavement deterioration data. This allows for extrapolation to a substantial training set under novel and unforeseen conditions.
PENGARUH CKS SEBAGAI PENGGANTI AGREGAT PADA KUAT TEKAN BETON Ahmad Zaki; Titis Yoga Pratama; Candra Agung Wibisono; Fadillawaty Saleh
Jurnal Riset Rekayasa Sipil Vol 6, No 2 (2023): Maret 2023
Publisher : Prodi Teknik Sipil Fakultas Teknik Universitas Sebelas Maret Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (429.799 KB) | DOI: 10.20961/jrrs.v6i2.69039

Abstract

Concrete with oil palm shells (OPS) is an innovative alternative to normal concrete, which is increasingly expensive. In addition, reducing palm-based waste is the objective, one of which is waste that is no longer used in the form of palm shells. Therefore, OPS concrete can also be called green or environmentally friendly concrete. Thus, OPS concrete research becomes very important so that the effect of percentage (%) OPS on the compressive strength of concrete can be analyzed. A specimen in the form of a cylinder was used in this study. Such cylinders have dimensions with a diameter of 75 mm and a height of 150 mm. And the specimen consists of 5 variations of the specimen in the form of the percentage of OPS used, namely 0%, 10%, 20%, 30%, and 40% of the weight of the coarse aggregate (stone or gravel). Each specimen will be tested for compressive strength at concrete lifespans of 7, 14, and 28 days. In this study, the variation of oil palm shells with a percentage of 10% was the optimum value of compressive strength obtained. Compressive strength will decrease in concrete with a percentage above 10%. This happens because the increasing composition of OPS causes the concrete mixture's low workability so that the concrete's compressive strength value becomes lower.