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All Journal Journal of Mechanical Engineering Education (Jurnal Pendidikan Teknik Mesin) JOIV : International Journal on Informatics Visualization INVOTEK: Jurnal Inovasi Vokasional dan Teknologi MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Suluah Bendang: Jurnal Ilmiah Pengabdian Kepada Masyarakat Teknomekanik Jurnal Vokasi Mekanika ARZUSIN: Jurnal Manajemen dan Pendidikan Dasar CONSEN: Indonesian Journal of Community Services and Engagement Ranah Research : Journal of Multidisciplinary Research and Development

- Primawati

Department Of Mechanical Engineering, Faculty Of Engineering, Universitas Negeri Padang, 25131, Indonesia

Author-ID : 2439841

Religion Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Mechanical Engineering Physics Public Health Social Sciences Transportation Other

Published : 22 Documents Claim Missing Document

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Title

Design Build Dryer Machine Frying Results Nuts Eggs Purwantono Purwantono; Waskito Waskito; Putu Satria Rinaldo; primawati primawati
Teknomekanik Vol 1 No 1 (2018): Teknomekanik
Publisher : Universitas Negeri Padang

The purpose of this research is to design oil drying machine in nurts eggs to get the result of working drawing and to determine the peanut dryer component. The concept of planning oil drying machine in nurts eggss is by conducting a direct survey of the egg industry, the problems arise still high levels of oil in manually dried peanuts, then carry out the design concept. Based on the concept, then designed a design drawing. The result of this final task is in the form of design or design of oil oven dryers that utilize centrifugal force for drying oil, oil stainless steel rotary tube components, stainless steel container tube with stainless steel , axle components to support tubes of 22mm diameter and 520mm length, pulleys with a 3/6 ratio as a rotary reducer of an electric motor of 0.5 HP 1400 rpm to 500 rpm. Frame profile machine L 40 x 40 x 4 mm 42 st material and engine components made by Fernando Ferry from material st 37.

Analysis Physical and Mechanical Of Particle Boards Raw Materials Nipah Fruit Fiber M Saddikin; Hendri Nurdin; Hasanuddin Hasanuddin; Primawati Primawati
Teknomekanik Vol 2 No 1 (2019): Teknomekanik
Publisher : Universitas Negeri Padang

The raw materials of the timber industry, especially furniture, are increasingly difficult to obtain in the quantity and quality needed. The development efforts carried out were utilizing Nipah coir waste as a raw material for making particle boards. Particle boards are panel boards made of wood particles or materials containing lignocellulose. Nipah plants contain 27.3% lignin and 36.5% cellulose which has the potential to be used as raw material for particleboard production. This study aims to reveal the physical and mechanical properties of particleboards made from Nipah fruit fibre with adhesive using tapioca flour. The making of particle board is done with a ratio of 90%: 10%, 80%: 20%, 70%: 30%, 60%: 40%, by giving a pressure of 100 kg / cm2. Particle testing is carried out according to the JIS A 5908 standard (2003). From this study, the optimum results were obtained in variations of 60%:40%. The particle physical properties which have an average density value of 1.15 gr / cm3 and an average moisture content of 5.8%. While the mechanical properties obtained by the value of Modulus of Elasticity an average of 21,188.93 kg / cm2. This shows the particle board variations of 60%: 40% produced to meet the JIS A 5908 (2003) standard. Based on the analysis of the quality variations 60%: 40% of particle boards can be recommended as raw materials for interior furniture.

Study of Ship Design Maninjau Lake Tourism by Using Catamaran Hull Type and Fiberglass Material Ar Trisyaldi; syahril syahril; Purwantono Purwantono; Waskito Waskito; Primawati Primawati
Teknomekanik Vol 2 No 1 (2019): Teknomekanik
Publisher : Universitas Negeri Padang

Maninjau lake uses ships designed in a simple way without significant innovation from time to time. This case is caused by design methods that are based on hereditary knowledge from generations to generations, so that the ships that are made tend to have the same shape and size. Innovation is needed to get a higher level of efficiency and effectiveness on a ship. The innovation that needs to be done is the design of ships with a multi-hull shape or catamaran. The pre-design of the catamaran hull is based on using the comparation method as the dimension ratio of the ship, so that the dimensions of the ship are LWL = 4 m; LPP = 3.96 m; B = 1.7 m; B1 = 0.36 m; D = 0.7 m; d = 0.307 m. After that, testing the resistance (resistance) while determining the amount of Power needed. The next step is to analyze Stability and Seakeeping to determine the efficiency and effectiveness of the hull type. Analysis carried out on this type of hull was applied to several models, then the best hull design was found. Each design is distinguished by hull shape, but has the same displacement which is equal to 0.448 tons. The first model of the catamaran hull with the type of Flat Inside Symmetry; second with the type of symmetry Flat Outside; and the third type with gastric Asymmetry.

A Framework of image processing and machine learning utilization for flood disaster management Fazrol Rozi; Indri Rahmayuni; Ardi Syawaldipa; Fitri Nova; Primawati Primawati; Batara Batara
Teknomekanik Vol 5 No 2 (2022): Teknomekanik
Publisher : Universitas Negeri Padang

Flood is one of the annual disasters in many places. It has not been well-managed yet both pre-disaster and post-disaster. Image processing and machine learning are commonly utilized for disaster management systems such as forecasting any potential flood by monitoring the water level in rivers and dams. However, it has a limited framework to be implemented as a strategic plan in flood management. Thus, this study aims to develop a framework for image processing and machine learning utilization for flood management. This study involves Padang, West Sumatera, Indonesia as a sample. It was conducted in three stages; 1) categorize the strategic plans and policies; 2) gather relevant literature; 3) analyze data. As findings, this study proposes a framework consisting of enhanced disaster preparedness, improved coping capacity, and completion of post-disaster reconstruction and rehabilitation. Involvement of the government, researchers and industry are mandatory. Government and researchers should collaborate to establish policies and regulations. Researchers should conduct studies with financial support from the industry. Meanwhile, the industry should be a public-private partnership with the government. In addition, the involvement of the private sector and the government are important factors that must exist to support research in this field.

Co-Authors - Mardalisa Abdul Marfuad Afriko Rinaldo Alvien Khardin Ar Trisyaldi Ardi Syawaldipa Arwizet K Batara Batara Budi Syahri Bulkia Rahim Cici Andriani Eko Indrawan Fazrol Rozi Febri Prasetya Fiki Efendi Fitri Nova Fitri Nova Hasanuddin Hasanuddin Indri Rahmayuni Irzal Irzal Jasman Laksono Trisnantoro Lucky Satria M Saddikin Mulianti Mulianti Nelvi Erizon Nurdin Hendri Purwantono Purwantono Putri Nurhalimah Erdi Putu Satria Rinaldo Refdinal, Refdinal Remon Lapisa Reski Reski Rizky Ema Wulansari Sony Suhandono Sundhy Pareza Suparno Suparno Suyatno Suyatno Syahril Syahril Waskito Yoga Andika Yovi Ardhan Yufrizal Yufrizal

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