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All Journal Rekayasa Mesin Majalah Ilmiah MOMENTUM INVOTEK: Jurnal Inovasi Vokasional dan Teknologi Jurnal Rekayasa Material, Manufaktur & Energi Rang Teknik Journal Manutech : Jurnal Teknologi Manufaktur Jurnal Teknik Mesin Abdi: Jurnal Pengabdian dan Pemberdayaan Masyarakat Jurnal Engine: Energi, Manufaktur, dan Material Jurnal Teknik Industri Terintegrasi (JUTIN) Reswara: Jurnal Pengabdian Kepada Masyarakat Jurnal Mesin Nusantara Journal of Energy, Material, and Instrumentation Technology International Journal of Multidisciplinary Research and Literature (IJOMRAL) METAL : Jurnal Sistem Mekanik dan Termal Dulang: Jurnal Pengabdian Kepada Masyarakat Menara Pengabdian Jurnal Salingka Abdimas International Journal of Innovation in Mechanical Engineering and Advanced Materials Jurnal Pengabdian kepada Masyarakat Dewantara Jurnal Polimesin IJIMCE : International Journal of Innovation in Mechanical Construction and Energy IJIS Edu : Indonesian Journal of Integrated Science Education
Desmarita Leni
Teknik Mesin, Fakultas Teknik, Universitas Muhammadiyah Sumatera Barat
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

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PENGENALAN BAHAYA BORAKS DALAM MAKANAN BAGI KESEHATAN PADA IKATAN KELUARGA KOTOLAWEH KOTA PADANG Femi Earnestly; Firdaus Firdaus; Muchlisinalahuddin Muchlisinalahuddin; Riza Muharni; Desmarita Leni; Helga Yermadona
Jurnal Salingka Abdimas Vol 3, No 1 (2023)
Publisher : Universitas Muhammadiyah Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31869/jsam.v3i1.4481

Abstract

Boraks pada saat sekarang ini banyak digunakan oleh produsen makanan dalam mengolah makanannya seperti alam pembuatan mie basah, lontong/ketupat, baksi, sosis dan bahkan ada yang digunakan dalam pembuatan kecap. Penyalahgunaan boraks sebagai bahan aditif pada pangan ini banyak dilakukan para pengusaha kuliner yang ingin mengambil banyak keuntungan dari konsumen-konsumennya. Adapun tujuan dari penambahan boraks pada makanan adalah meningkatkan daya awet dan menciptakan tekstur yang kenyal. Borakspun mudah didapatkan dipasaran yang dikenal dengan sebutan bleng, pijer ata gendar. Mengkonsumsi makanan yang mengandung boraks memang tidak serta berakibat buruk secara langsung, tetapi penumpukan boraks yang diserap oleh tubuh akan menyebabkan gangguan otak, hati dan ginjal. Oleh karena itu perlu kita mengadakan pengabdian kepada mitra pengabdian kita yaitu ibu-ibu yang bergabung dalam Ikatan Keluarga Koto Laweh yang berdomisili dikota Padang dengan tujuan untuk menambah pengetahuan mitra pengabdian ini mengenai bahaya boraks pada makanan. yang termakan secara terus menerus, ciri-ciri makanan yang mengandung boraks, dan pencegahan kita supaya tidak mengkonsumsi makanan yang mengandung boraks. Metode yang digunakan yaitu ceramah, tanya jawab dan diskusi serta pemberian angket sebelum dan sesuda sosialisasi. Adapun hasil yang didapatkan dalam kegiatan ini adalah meningkatkannya pengetahuan mitra mengenai bahaya boraks terhadap makanan dari 50% ke 91.50% dan diharapkan mitra bisa berusaha untuk lebih teliti lagi membeli makanan jajanan serta lebih mengupayakan untuk memakan makanan yang diolah sendiri dengan bahan-bahan yang alami tanpa pengawet agar terhindar dari penyakit-penyakit yang disebabkan oleh penumpukan bahan aditif terutama pengawet pada tubuh.
PERANCANGAN METODE MACHINE LEARNING BERBASIS WEB UNTUK PREDIKSI SIFAT MEKANIK ALUMINIUM Desmarita Leni; Arwizet K; Ruzita Sumiati; Haris Haris; Adriansyah Adriansyah
Jurnal Rekayasa Mesin Vol. 14 No. 2 (2023)
Publisher : Jurusan Teknik Mesin, Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/jrm.v14i2.1370

Abstract

The main objective of this research is to design a web-based machine learning model that can predict the mechanical properties of aluminum based on its chemical composition. By inputting nine variables of chemical elements such as Al, Mg, Zn, Ti, Cu, Mn, Cr, Fe, and Si, the model is able to provide predictions for two output data, Yield Strength (YS) and Tensile Strength (TS). The research aims to understand the relationship between chemical composition and mechanical properties of aluminum, and to develop a tool that can be used to predict these properties with a high level of accuracy. Overall, the goal of this study is to enhance the understanding of the properties of aluminum and how it can be utilized in various applications. This study designs a web-based machine learning modeling to predict the mechanical properties of aluminum in the percentage of chemical composition, where the input data in the modeling consists of 9 variables of chemical elements such as Al, Mg, Zn, Ti, Cu, Mn, Cr, Fe, Si, and has 2 output data consisting of Yield Strength (YS) and Tensile Strength (TS). The modeling machine learning is designed using the Python programming language and additional libraries such as Pandas, Numpy, Scikit-learn, and Streamlit. The modeling in this study uses three algorithms consisting of Decision Trees (DT), Random Forest (RF), and Artificial Neural Network (ANN). Each algorithm is optimized with the best search parameters, and where the RF algorithm has better performance than DT and JST. The best modeling uses the RF algorithm with optimal parameters of number of trees at 20 and maximum depth of 10, with MAE values of 11.44, RMSE of 14.282, and R of 0.93 for Yield Strength (YS) predictions, and for Tensile Strength (TS) predictions, MAE values are obtained. 21,669, RMSE 27,301, and R 0.871. 
Performance Analysis of Hydrokinetic Turbine Using Shroud Ratio Comparison under Yaw Misalignment Condition Arwizet K; Desmarita Leni; Deviya Aprilman; Adriansyah Adriansyah; Rivanol Chadry
invotek Vol 23 No 1 (2023): INVOTEK: Jurnal Inovasi Vokasional dan Teknologi
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/invotek.v23i1.1091

Abstract

This research aims to analyze the performance of hydrokinetic turbines under yaw misalignment conditions using descriptive statistical methods on coefficient of power (Cp) data. Tests were conducted at water velocities of 0.7, 0.9, and 1.1 m/s for three types of turbine shrouds consisting of turbines without shrouds, turbines with two different types of shrouds, at yaw angles from 0° to 25° with 5° intervals. The study concludes that the performance of each turbine type is significantly influenced by the combination of water flow velocity and yaw angle. The diffuser type has the highest Cp value at every yaw angle, but its performance decreases with increasing yaw angle. The Blade type has poorer performance compared to the diffuser at every yaw angle and has the best performance at a combination of 1.1 m/s velocity and 5° yaw angle. Meanwhile, the shroud type has more stable performance and is not greatly affected by variations in velocity and yaw angle. Based on the analysis of changes in average Cp values with changes in yaw angle at V 0.7 m/s, all three turbine types experienced an increase in Cp value at a yaw angle of 5, with the shroud experiencing the most significant increase. At V 0.9 m/s, the diffuser and shroud types were able to maintain their average Cp values at every yaw angle, while the blade type decreased with increasing yaw angle and experienced a significant decrease at a yaw angle of 25. At V 1.1 m/s, the diffuser and blade types experienced a decrease in performance with every increase in yaw angle, but the shroud type was able to maintain the same Cp value and even experienced a significant increase at a yaw angle of 5.
Analysis of Digital Literacy Technology Design for the Department of Mechanical Engineering Based on a Website at Universitas Muhammadiyah Sumatera Barat Desmarita Leni; Muchlisinalahuddi Muchlisinalahuddi; Riza Muharni; Arwizet K
invotek Vol 23 No 1 (2023): INVOTEK: Jurnal Inovasi Vokasional dan Teknologi
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/invotek.v23i1.1092

Abstract

This research aims to analyze the level of importance of digital literacy understanding among students of Mechanical Engineering at the University of Muhammadiyah (UM) Sumatera Barat. The digital literacy developed in this study not only facilitates access to learning references, literature, research methodologies, and testing in the field of Mechanical Engineering but also designed as a data storage place for student practical and research testing results. This research used a questionnaire as a data collection technique, which was filled out by Mechanical Engineering students at Universitas Muhammadiyah Sumatera Barat. The first questionnaire was conducted to measure the level of students' understanding of digital literacy in the field of Mechanical Engineering, and the results were used as the basis for creating a literacy website. The second questionnaire was conducted to evaluate the created literacy website. Data analysis was performed using quantitative descriptive analysis. The results showed that 57% of respondents had good understanding of digital literacy in the field of Mechanical Engineering. However, only 15% of respondents often searched for references on digital technology, and 80% of respondents faced difficulties in finding credible digital literacy sources. Moreover, most respondents expressed their interest in learning and using digital technology in research and practical work. These results served as the basis for creating a digital literacy website. The digital literacy website was evaluated, and the evaluation result showed that most respondents stated that the created literacy website was easy to use and helpful in the learning or task completion process. However, some aspects needed improvement, such as relevant and understandable content and the quality of content presentation that is more interesting for respondents. Overall, the literacy website has a high level of satisfaction in several aspects.
PEMBUATAN INSTALASI HIDROPONIK PADA GREEN HOUSE MTsN 7 KOTA PADANG Yuli Yetri; Rakiman Rakiman; Ichlas Nur; Hanif Hanif; Desmarita Leni
Jurnal Pengabdian kepada Masyarakat DEWANTARA Vol 4 No 2 (2021): Jurnal Pengabdian kepada Masyarakat DEWANTARA
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat Universitas Tamansiswa Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31317/jpmd.v4i2.704

Abstract

Telah dilakukan rancangbangun dan penyuluhan penggunaan instalasi peralatan hidroponik untuk Madrasah Tsanawiyah Negeri 7 (MTsN 7) Kota Padang dalam kegiatan tim Pengabdian Kepada Masyarakat Politeknik Negeri Padang. Tujuan dari kegiatan ini adalah dalam rangka Tridharma perguruan tinggi, dan untuk menciptakan lingkungan yang asri di sekolah tersebut. Untuk mempertahankan keasriannya, maka tim pengabdian PNP bersedia menyumbangkan instalasi hidroponik, agar MTsN mempunyai green house untuk membudidayakan tanaman hias, tanaman obat-obatan, dan sayuran. Kegiatan ini dilakukan mulai dari rancangbangun, setting peralatan, dan penyuluhan cara menggunakannya. Hasil dari kegiatan ini menunjukan antusias yang besar dari sivitas akademika MTsN 7 untuk menciptakan lingkungan yang sehat dan asri. Sehingga Adiwiyata Nasional yang sudah diperoleh dapat dipertahankan.
PEMANFAATAN MINYAK JELANTAH UNTUK PEMBUATAN SABUN PADA BANK SAMPAH LIDAH MERTUA KOTA PADANG Femi Earnestly; Firdaus Firdaus; Desmarita Leni D; Rahmawati Rahmawati; Riza Muharni; Helga Yermadona
RESWARA: Jurnal Pengabdian Kepada Masyarakat Vol 5, No 1 (2024)
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/rjpkm.v5i1.3927

Abstract

Masalah sampah menjadi salah satu permasalahan dalam lingkungan hidup yang paling signifikan terjadi di Indonesia termasuk Kota Padang. Bank sampah merupakan salah satu solusi dari Pemerintah dimana bank sampah lidah mertua sebagai mitra kegiatan pebgandian kami adalah salah satu bank sampah kota Padang, dengan nasabah 100 orang. Nasabah bank sampah mempunyai permasalahan tentang bagaimana pengolahan minyak jelantah yang sudah menumpuk dirumah mereka masing-masing. Minyak jelantah jadi momok yang menakutkan bagi mereka karena apabila dipakai untuk menggoreng akan menyebabkan penyakit berbahaya (kanker, hipertensi, jantung, stroke), sedangkan minyak jelantah yang dibuang dapat mengakibatkan kerusakan lingkungan. Tujuan kegiatan pengabdian ini adalah memberikan inovasi untuk memanfaatkan minyak jelantah menjadi suatu produk bernilai jual, serta dapat meningkatkan keterampilan mitra. Metode pengabdian dilaksanakan yaitu workshop dan pendampingan secara langsung dengan peserta sebanyak 17 orang. Pembagian kuisioner awal dan akhir diberikan kepada mitra untuk mengetahui sejauh mana pemahamannya terhadap pembuatan sabun ini, dimana terjadi peningkatan keterampilan mitra dari 57% ke 93,53%.
Comparative analysis of energy-efficient air conditioner based on brand Adriansyah Adriansyah; Desmarita Leni; Ruzita Sumiati
Jurnal POLIMESIN Vol 21, No 4 (2023): August
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v21i4.3625

Abstract

The availability of numerous air conditioners in the market with various brands and types often leads consumers to be unaware that the purchased air conditioner may be inefficient in terms of energy usage. This research aims to determine the most energy-efficient air conditioner based on the brand of air conditioners available in the market. The research method consists of four stages: data collection, data preprocessing, data analysis, and interpretation of results and conclusions. The data used in this study was obtained from the database of the Directorate General of New, Renewable, and Energy Conservation (EBETKE), which consists of 11 AC brands sold in the market. Data analysis was performed using data distribution analysis techniques, standard deviation calculations, and correlation analysis between variables, such as the Pearson's correlation coefficient. The results of this study show that the AC brand with the highest average efficiency value is Mitsubishi Electric, with a value of 16.36 Energy Efficiency Ratio (EER), while the AC brand with the lowest average efficiency value is GREE, with a value of 5.640 (EER). Each AC brand has a different average efficiency value, with significant variations. From the correlation heatmap results, the AC power does not appear to significantly affect the AC efficiency value, where AC with lower power tends to have higher efficiency values, but there are also AC with high power and high efficiency values. Additionally, the cooling capacity value also appears to have a small effect on the AC efficiency value, where AC with lower cooling capacity tends to have higher efficiency values. However, some AC brands have high cooling capacity values but also have high efficiency values. This study also shows a moderate correlation between the AC efficiency value and the AC's annual energy consumption value, where AC with higher efficiency values tends to have lower annual energy consumption values.
Analisa Kapasitas Mesin Pencacah Multi Mixer Pakan Ayam KUB Muchlisinalahuddin Muchlis nalahuddin; Hendrix Triwaldi; Desmarita Leni; Aulia Naro; Deviya Aprilman
Jurnal Teknik Mesin Vol 17 No 1 (2024): Jurnal Teknik Mesin
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/jtm.17.1.1224

Abstract

In this study, the capacity analysis of the multi mixer chopper machine was carried out with the parameters applied such as: rpm, time and input and output of the machine in terms of the weight of the input material and the output of the feed produced in order to calculate the performance and capacity of the KUB chicken feed multi mixer chopper. (Balitbangtan superior native chicken). In the process of analyzing the capacity of the multi mixer chopping machine for kub chicken feed, the preparations made include preparing tools and materials for testing, testing, data collection, analysis and proceed with drawing conclusions. In data collection, enumeration and mixing tests will be carried out, where the samples of the test materials used are vegetable waste, bran and water. The largest chopped output at the initial input with a weight of 1 kg is obtained from the engine speed of 2895 rpm with a chopped weight of 0.95 kg. A suitable ratio for the feed mix is ​​1 kg of vegetable waste, 1 kg of bran and 2 kg of water. So the capacity of the multi-mixer chopping machine is known to be 239.521 kg/hour with a material ratio of 1 kg of chopped vegetable waste, 1 kg of bran and 2 kg of water.
Modeling Mechanical Component Classification Using Support Vector Machine with A Radial Basis Function Kernel Ruzita sumiati; Moh. Chamim; Desmarita Leni; Yazmendra Rosa; Hanif Hanif
Jurnal Teknik Mesin Vol 16 No 2 (2023): Jurnal Teknik Mesin
Publisher : Politeknik Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/jtm.16.2.1250

Abstract

The process of identification and classification of products in the era of modern manufacturing industries has become a crucial pillar in enhancing efficiency, productivity, and product quality. In this research, the modeling of manufacturing product classification, such as mechanical components consisting of four classes: bolts, washer, nuts, and locating pin, was conducted. The proposed model in this study is the Support Vector Machine (SVM) with Radial Basis Function (RBF). The dataset used consists of digital images of mechanical components, with each component having 400 samples, resulting in a total of 1600 samples. The dataset is divided into training and testing data, with 300 samples for each component in the training set, and 100 samples removed from the training set for external testing as model validation. The best model parameters were determined using grid search by varying the parameter values of C and γ (gamma). The model was evaluated using K=3 fold cross-validation, and external testing utilized a confusion matrix to calculate Accuracy, Precision, Recall, and F1-Score values. The research results indicate that the SVM model with the RBF kernel, using the combination of C=10 and γ=scale, achieves the best performance in classifying the four mechanical components. This is evident from the training results of the model, which were able to obtain evaluation metrics such as Accuracy of 94.17%, Precision of 0.94, Recall of 0.94, and F1-Score of 0.94. Meanwhile, the validation results with new data not present in the training dataset show that the model can achieve evaluation metrics with an Accuracy of 93%, Precision of 0.93, Recall of 0.93, and F1-Score of 0.93. These results are consistent with the training performance, indicating that the SVM model with the RBF kernel excels in classifying digital images of mechanical components, such as bolts, nuts, washer, and locating pin.
The Influence of Heatmap Correlation-based Feature Selection on Predictive Modeling of Low Alloy Steel Mechanical Properties Using Artificial Neural Network (ANN) Algorithm Leni, Desmarita; Sumiati, Ruzita; Adriansyah; Angelia, Nike; Nofriyanti, Elsa
Journal of Energy, Material, and Instrumentation Technology Vol 4 No 4 (2023): Journal of Energy, Material, and Instrumentation Technology
Publisher : Departement of Physics, Faculty of Mathematics and Natural Sciences, University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jemit.v4i4.203

Abstract

This study aims to evaluate the influence of heatmap correlation-based feature selection on predictive modeling of low alloy steel mechanical properties using an artificial neural network (ANN) algorithm. Heatmap correlation was used to determine the chemical elements most correlated to the low alloy steel mechanical properties, such as Yield strength (YS) and Tensile strength (TS). There were 15 input variables of chemical elements in this study, and after feature selection, 11 input variables were obtained for YS, and 13 input variables were obtained for TS. The ANN model was validated using K-fold 10 cross-validation and evaluated using loss metric, Mean Absolute Error (MAE), and Root Mean Square Error (RMSE). The results showed that modeling with feature selection was able to improve the YS prediction, with a decrease in value of 6.83% in MAE and 4.97% in RMSE, while the TS prediction decreased by 16.46% in MAE and 18.34% in RMSE after feature selection. These results indicate that the use of feature selection provides better performance compared to the model without feature selection, and heatmap correlation can be used as an alternative to improve model performance in predictive modeling of low alloy steel mechanical properties using the ANN algorithm.  
Co-Authors -, Nasrullah - ., Islahuddin Abbas, Muhammad Rabiu Ade Usra Berli Adriansyah Adriansyah Adriansyah Aggrivina Dwiharzandis Angelia, Nike Anjelika, Dea Qori Anuar, Bakri Anugrah, Pinto Arwizet Arwizet, Arwizet Aulia Naro Camim, Moh. Candra Mayana, Hendri Dedi Erawadi Dedi Erawadi Dedi Wadianto Defri Pratama Deviya Aprilman Elvis Adril Erlinda Syam Fajar Kurnia Putra Fajri Arsyah, Ahmad Hasnul Fajri Dwi Putra Fajri, Ahmad Hasnul Fardinal Fardinal Fathir Alqodri Femi Earnestly Firdaus Firdaus Firdaus Firdaus Firdaus G Gunawarman, G Hanif Hanif Hanif Hanif Haris Haris Haris Haris, Haris Helga Yermadona Hendra . Hendra Hendra Hendrix Triwaldi Ichlas Nur Jana Hafiza Jon Affi, Jon Kesuma, Dytchia Septi Khan, Sharif kusuma, Yuda Perdana Lega Putri Utami Maimuzar Maimuzar Moh. Chamim Muchlisinalahuddi Muchlisinalahuddi Muchlisinalahuddin Muchlisinalahuddin Muchlis nalahuddin Muharni, Riza MULYADI Mulyadi . Nasirwan Nasirwan Nofriadi Nofriadi Nofriyanti, Elsa Nota Effiandi Nusyirwan Nusyirwan Peng, Lim Hooi Predi Maulana Putra Qori Anjelika, Dea Rahmawati Rahmawati Rahmawati, Rahmawati Rakiman Rakiman Rakiman Rakiman Remon Lapisa Rivanol Chadry Ruzita Sumiati Safril Safril Sagyta Yeniza Putri Sharma, Jai Kumar Sir Anderson Teguh Haria Aditia Putra Ultra Marsedi Venny Selviaty Veny Selviyanty Yazmendra Rosa Yuda Perdana Kusuma Yuli Yetri Yusnaweti Yusnaweti Zinvi Fu Zulbahri Bahar