E-Journal Politeknik Negeri Cilacap
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Klasifikasi Stunting Balita menggunakan Metode Ensemble Learning dan Random Forest
Get PDFStunting is a long-term condition that describes nutritional deficiencies that affect children\u27s growth and development from an early age, especially linear growth. Examination of the stunting status of toddlers in Indonesia, especially at the Karanganyar Community Health Center, still uses book calculations so errors are still found in the use of formulas which result in inaccuracies in the classification of stunting. Efforts to improve research results were carried out using the Random Forest algorithm which was enhanced with ensemble methods such as the Bagging and Boosting methods to classify stunting data. The aim of this research is to find out which technique will produce the best and most accurate accuracy. The Ensemble Boosting techniques used are XGBoost and Gradient Boosting. This research uses a dataset from the Karanganyar Health Center, Semarang City with a total of 2000 data records. The test results produced the highest accuracy algorithm, namely the Random Forest + Bagging algorithm which obtained accuracy results of 98.25%. Based on the analysis results obtained, the Bagging and Boosting methods can accurately predict stunting data
Analisis Tegangan Roll Untuk Produksi Baja Tulangan Beton Tahap Roughing Menggunakan Metode Finite Element Analysis
Get PDFConcrete reinforcing steel is alloy steel with a round cross section using a plain or fin surface and produced from a material called billet. The production process for concrete reinforcing steel generally uses a rolling process. The stress on the roll that is generated during the rolling process is something that needs to be considered. Stresses that exceed the fatigue limit will result in failure and even damage to the roll. This research aims to determine the maximum stress in rolls at the roughing stage, namely roll 1H, roll 2H, and roll 1 with standard sizes. By using the Finite Element Analysis simulation, it is expected that it can provide recommendations for the maximum roll stress produced in the rolling process. From the simulations carried out, the maximum stress value for roll 1H is 190.34 MPa, roll 2H is 227.28 MPa and roll 1 is 136.18 MPa. The stress that occurs in the roll is considered safe because it is below the fatigue stress value of the roll material.
 
Pengaruh Variasi Pendinginan Terhadap Kekasaran Permukaan Hasil Proses Milling Pada Material Stainless Steel AISI 304
Get PDFMachining processes in current developments are required to be more environmentally friendly, the use of coolant has a big impact on the environment. So air cooling media is an alternative that can be used to reduce production costs and implement environmentally friendly machining processes. This research aims to determine the level of surface roughness on AISI 304 Stainless Steel at depth of feed and cooling medium. There are two independent variables and a dependent variable. The dependent variable is cutting speed 63 mm/min and feed speed 950 mm/min, while the independent variable is variation. cooling media (room air, dromus, and cooled air) and variations in feeding depth (0.5, 0.75 and 1 mm. The results obtained from this test show the influence of variations in cooling media and depth of feed on the surface roughness of Stainless Steel AISI 304. The tools and materials used are Stainless Steel AISI 304, milling machine, dromus, cold air cooler, thermometer, pressure gauge, and tools. surface roughness tester. Tests obtained the greatest roughness results in the cooling medium using room air which showed a roughness level of 0.974 μm with a cutting speed of 63 mm per min and a feed speed of 950 mm per min. Then the smallest level of roughness is in the cooling media using cold air, namely 0.296 μm with a cutting speed of 63 mm per min and a feed speed of 950 mm per min
Pengaruh Penggunaan Bahan Perekat Tepung Sagu, Tapioka, dan Beras Terhadap Daya Bakar Briket Tempurung Kelapa
Get PDFThe need for energy is increasing as the population grows. Efforts to produce alternative energy continue. One of them is by utilizing materials that are more environmentally friendly, more economical, and easily obtained. Therefore, the utilization of coconut sells in briquettes is one of the alternative fuels for energy fulfillment. The use of this material is also a form of handling coconut waste that has not been optimally utilized. The method used in making this briquette is by combining it with various types of adhesives such as sago flour, tapioca and rice with various variations in the on combustibility, moisture content, and shatter index. Variations in the amount of adhesive used were 6%, 8% and 10%. Drying of the briquettes was carried out in an oven with temperatures of 60°C. The results showed that the best briquettes in the 60°C drying temperature treatment had a combustibility value of 0.0300 gr/min with 10% sago adhesive. Moisture content is 3.8314% with 6% rice adhesive. Shatter index with a value of 0.0763% with 8% rice adhesive
Aplikasi Berbagai Komposisi Bahan Baku Organik Terhadap Pertumbuhan Tanaman Cabai Rawit (Capsicum frutescens L.)
Get PDFFertilizer is a nutrient that is the main need for plants. One of the organic materials that is widely used as organic fertilizer is chicken manure which can have an influence on the availability of nutrients and improve the structure of soil which is very deficient in organic nutrients and can also fertilize plants. One of the dry leaves that has the potential to be used as organic fertilizer is ketapang leaves, which have a C-Organic nutrient content of 60.32%; N-Total 0.55 % ; P-Total 0.14 % ; K-Total 0.20%. In addition, the nutrient content of chicken feces is N 1%; P 0.80% ; K 0.40% and water content 55%. The wood powder content consists of chemical components such as cellulose, hemicellulose, lignin and extractive substances. This research method uses a completely randomized design, consisting of 5 treatments of various raw material compositions of chicken manure, dry ketapang leaves and wood dust. The ratio of the use of organic fertilizer and soil is 50: 50. This research aims to determine the height growth and number of leaves for cayenne pepper based on from various raw material compositions of chicken manure, ketapang leaves and wood dust. This research consisted of 5 treatments of various raw material compositions of chicken manure, dry ketapang leaves and sawdust. The ratio of organic fertilizer and soil was 50: 50. The results from observing plant height were that P1 was 6 cm high and the highest number of leaves on P2 was 7 pieces. However, the addition of organic fertilizer with various compositions does not have much effect on the growth of cayenne pepper seeds
SINTESIS PLASTIK BIODEGRADABLE DARI PATI GANYONG DENGAN MODIFIKASI KASEIN SUSU AFKIR DAN PLASTICIZER SORBITOL
Get PDFCanna starch has the potential to be a raw material for biodegradable plastic because it has a total starch content of 93.30%, amylose content of 42.40% and amylopectin 50.90%. The research aims to study the effect of the ratio of canna starch and casein rejected milk with sorbitol modification on the characteristics of biodegradable plastic. The variables of this research were the ratio of canna starch and casein from rejected milk (4:0; 3:1; 2:2) and stirring for 30 minutes at 75°C and the addition of sorbitol (2%, 3%, 4% , 5%). The process of making biodegradable plastic is carried out by pouring a biodegradable plastic solution according to variables into a mold, then drying it using an oven at 70°C for 6 hours and the mold is taken out to dry at room temperature for 24 hours. The plastic formed is tested for tensile strength, elongation, biodegradation, morphology. The results of this research show that the higher the canna starch added and the lower the casein added, the more water resistance, tensile strength, elongation increases, and biodegradation increases. The smaller the ratio of canna starch and milk casein (the greater the amount of milk casein), the higher the water resistance, tensile strength, elongation and biodegradability of the resulting bioplastic. The best combination ratio of starch and casein was obtained at a ratio of 4:0 which provided the highest water resistance of 81.82%, the highest tensile strength of 5.48 MPa, the highest elongation of 26.67, and the highest biodegradation of 0.08. The higher the amount of sorbitol added increases the value of elongation, biodegradation. The best addition of sorbitol was obtained at a concentration of 5% which provided the highest elongation of 8.57, biodegradation of 0.11, while the best tensile strength was obtained at a concentration of 1% of 3.40 MPa.Pati ganyong potensial menjadi bahan baku plastik biodegradble karena mempunyai kadar total pati 93,30%, kadar amilosa 42,40% dan amilopektin 50,90% Penelitian bertujuan mempelajari pengaruh rasio pati ganyong dan kasein susu afkir dengan modifikasi sorbitol terhadap karakteristik plastik biodegradable. Variabel penelitian ini adalah rasio pati ganyong dan kasein dari susu afkir (4:0; 3:1; 2:2) dengan pengadukan selama 30 menit pada suhu 75°C dan penambahan sorbitol (2%, 3%, 4%, 5%). Proses pembuatan plastik biodegradable dilakukan dengan menuang larutan plastik biodegradable sesuai variable ke dalam cetakan, selanjutnya dikeringkan menggunakan oven dengan suhu 70°C selama 6 jam dan cetakan dikeluarkan untuk dikeringkan pada suhu kamar selama 24 jam. Plastik yang terbentuk dilakukan uji tensile strength, elongation, biodegradasi, morfologi. Hasil penelitian ini menunjukkan semakin tinggi pati ganyong yang ditambahkan dan semakin turun kasein yang ditambahkan maka mempengaruhi plastik biodegradable terhadap tensile strength semakin naik, elongation semakin naik, dan biodegradasi semakin naik. Semakin kecil rasio pati ganyong dan kasein susu (semakin besar jumlah kasein susu) maka akan meningkatkan nilai tensile strength, elongation, dan kemampuan biodegradasi dari bioplastik yang dihasilkan. Rasio kombinasi pati dan kasein yang terbaik diperoleh pada rasio 4:0 yang memberikan tensile strength tertinggi sebesar 5,48 MPa, elongation tertinggi sebesar 26,67, dan biodegradasi tertinggi sebesar 0,08. Semakin tinggi jumlah sorbitol yang ditambahkan meningkatkan nilai ketahanan air, elongation, biodegradasi. Penambahan sorbitol yang terbaik diperoleh pada konsentrasi 5% yang memberikan elongation 8,57, biodegradasi sebesar 0,11, sedangkan tensile strength yang terbaik diperoleh pada konsentrasi 1% sebesar 3,40 MPa
Analisis Paving Block berdasarkan Sifat Tampak dan Reduksi Limbah Plastik Multilayer, Limbah Keramik Sanitary, dan Limbah Karet Alas Sepatu
Get PDFMultilayer plastic waste, sanitary ceramics and rubber have potential as paving block mixtures. Multilayer plastic waste is difficult to decompose and recycle, resulting in minimal management. In addition to multilayer plastic waste, rubber waste is also hard to decompose because it is a non-organic waste resistant to water, soil, and chemical compounds. Ceramic waste can be used as a mix for paving blocks due to its durability and strength, and it helps reduce the volume of waste being disposed of. This research aims to see the suitability of the visible properties of paving blocks from these three wastes with SNI 03-0691-1996 concerning Concrete Bricks (Paving Blocks) and the amount of waste reduction potential. Making paving blocks uses 8 (eight) compositions, namely Ceramic Waste (LKK): Multilayer Plastic Waste (LPM) at 20%:80%, 30%:70%, 40%:60% and 0%:100%. Then Ceramic Waste (LKK): Multilayer Plastic Waste (LPM): and Rubber Waste (LKT) at 20%:60%:20%, 30%:50%:20%, 40%:40%:20%, and 50%:30%:20%. The visible properties of paving blocks that comply with SNI 03-0691-1996 are only found in some samples. Non-compliance with SNI can be caused by several things, including varying composition amounts, mixing materials (homogenization) and paving block printing. Based on the results of making paving blocks with 8 (eight) different compositions, there are 3 (three) compositions whose properties appear to be by SNI 03-0691-1996, namely at a composition of 20% LKK: 80% LPM, 100% LPM, and 20 % LKT: 60% LPM: 20% LKK. The amount of waste reduction from these three wastes ranges from 167.6 kg to 768 kg.
Keywords: waste, plastic, ceramic, rubber, paving block.Limbah plastik multilayer, keramik sanitary, dan karet memiliki potensi sebagai bahan campuran paving block. Sampah plastik multilayer sulit terurai dan sulit didaur ulang, sehingga pengelolaannya minim. Selain limbah plastik multilayer, limbah karet juga sulit terurai karena merupakan sampah non-organik yang tahan terhadap air, tanah, dan senyawa kimia. Limbah keramik bisa dimanfaatkan sebagai campuran paving block karena sifatnya yang tahan lama dan kuat, serta dapat mengurangi volume limbah yang dibuang. Penelitian ini bertujuan untuk melihat kesesuaian sifat tampak paving block dari ketiga limbah tersebut dengan SNI 03-0691-1996 tentang Bata Beton (Paving Block) serta melihat jumlah potensi reduksi limbahnya. Pembuatan paving block menggunakan 8 (delapan) komposisi yaitu Limbah Keramik (LKK): Limbah plastik Multilayer (LPM) sebesar 20%:80%, 30%:70%, 40%:60% dan 0%:100%; serta perbandingan Limbah Keramik (LKK), Limbah Plastik Multilayer (LPM), Limbah Karet (LKT) berturut-turut adalah 20%:60%:20%; 30%:50%:20%; 40%:40%:20%; dan 50%:30%:20%. Sifat tampak paving block yang sesuai dengan SNI 03-0691-1996 hanya terdapat pada beberapa sampel. Ketidaksesuaian dengan SNI tersebut dapat disebabkan oleh beberapa hal diantaranya jumlah komposisi yang beragam, proses pencampuran bahan (homogenisasi) serta proses pencetakan paving block. Berdasarkan hasil pembuatan paving block dengan 8 (delapan) komposisi yang berbeda, terdapat 3 (tiga) komposisi yang hasilnya sifat tampaknya sesuai dengan SNI 03-0691-1996 yaitu pada komposisi 20% LKK: 80% LPM, 100% LPM, dan 20% LKT: 60% LPM: 20% LKK. Jumlah reduksi sampah dari ketiga limbah tersebut berkisar antara 167,6 kg sampai 768 kg
Penyuluhan Penyakit Mulut dan Kuku (LSD) Untuk Kelompok Peternak Dalam Rangka Peningkatan Kesejahteraan Masyarakat
Get PDFCommunity service discusses Livestock Vesicular Diseases (LSD) foot and mouth disease in cattle farmer groups who are susceptible to this disease. Community service activities are carried out at the Lestari Migunani Livestock Group, Nangsri Lor, Candirejo, Semanu, Gunungkidul with the main focus on overcoming foot and mouth disease in livestock. By referring to the extension material through livestock community meetings and educational materials provided face-to-face, it is hoped that there will be an increase in active community involvement, and collaboration with village government agencies to prevent foot and mouth disease outbreaks in Nangsri Lor, Candirejo, Semanu, Gunungkidul. Community service activities aim to provide understanding to livestock group members about foot and mouth disease and prevention strategies, to create a productive livestock community that supports the family economy. This community service activity also provides concrete solutions to livestock health problems but also empowers communities to manage animal health independently, improve welfare, and build economic resilience through community livestock farming. The results of this community service activity were that there were 23 participants (88.5% of the total) who stated that they were delighted with the community service program that was held, this shows that the level of participant satisfaction with the program provided was high
Kegiatan Lokakarya Perencanaan Berbasis Data Program Sekolah Penggerak Angkatan I Tahun Ketiga di Kabupaten Soppeng
Get PDFData-based planning is the process of collecting, analyzing and using data to determine goals, strategies and activities that will be carried out to improve and increase the quality of education in schools which is very important to understand in the Driving School Program. The aim of this workshop activity is that participants who attend are able to prepare data-based plans which will later produce Annual Work Plans (RKT) and School Work Plans and Budgets (RKAS) which are part of data-based planning in schools. The method used in the form of a data-based planning workshop is participatory from the learning committee, namely the principal and elementary school teachers of each school, including from 4 levels of elementary school, namely SDN 100 Dare Bunga-Bungae, SDN 118 Ujung, SDN 238 Laempa, and SDN 5 Mattiropole in the area. Soppeng Regency. The data-based planning workshop activity was held on Saturday 11 November 2023 at SMPN 3 Watansoppeng by involving participants directly during the activity with a flow of activities starting from the opening, starting from the self, concept exploration, collaboration space, contextual demonstration, real action plan and closing. The final result of this data-based planning workshop activity is a draft product of the Annual Work Plan (RKT) and School Work Plan and Budget (RKAS). Thus, these data-based planning activities can have a positive impact on each school in the Class I Driving School Program, which can strengthen various participants\u27 skills and competencies in preparing designs related to data-based planning, thereby encouraging digitalization in school
Application of Machine Learning in Fault Detection And Classification in Power Transmission Lines
Get PDFElectrical faults have been identified as a significant contributing factor to electrical equipment damage. Such incidents can potentially result in a range of adverse consequences, including bushfires, electrical outages, and power shortages. The detection and classification of faults facilitates the delivery of superior quality of service, the preservation of the environment, the prevention of equipment damage, and the satisfaction of electricity line subscribers. In this study, we analyze the data from an electrical network comprising four generators of 11 kV, which have been modeled in Matlab. The generators are situated in pairs at either end of the transmission line. Subsequently, machine learning techniques are employed to detect faults in the transmission between lines, and machine learning models are utilized to classify the faults. Four distinct supervised machine learning classifiers are employed for comparison purposes, with the results presented in a confusion matrix. The results demonstrated that decision trees are particularly well-suited to this task, with an 88.6205% detection rate and a slightly higher accuracy than the random forest algorithm (87.9212% detection rate). The K-nearest neighbor\u27s approach yielded a lower result (80.4196% of faults detected), while logistic regression demonstrated the lowest performance, with 34.5836% of faults detected. Six fault categories were found in the dataset: No-Fault (2365 occurrences), Line A Line B to Ground Fault (1134 occurrences), Three-Phase with Ground (1133 occurrences), Line-to-Line AB (1129 occurrences), Three-Phase (1096 occurrences) and finally Line-to-Line with Ground BC (1004 occurrences)