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Pengaruh Salinitas Pasir Terhadap Kuat Tekan Bata Mascik, Deny perayuda; S Suzen, Zaldy; Ary W, Ilham
Jurnal Inovasi Teknologi Terapan Vol. 1 No. 1 (2023): Jurnal Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33504/jitt.v1i1.80

Abstract

The development of technology, especially in the construction field, in manufacturing bricks is increasingly rapid and varied, one of which is lightweight brick. The light brick is a composite building material made of sand, cement, limestone, gypsum, water, and aluminum powder. In general, lightweight bricks have two types, Autoclaved Aerated Concrete (AAC) and Cellular Lightweight Concrete (CLC). Light bricks were created to lighten the structural load of a construction building, speed up construction, and minimize material waste during the wall installation process. Sand is a staple in the construction process. In addition, sand material cannot be separated from its use in the industrial world. The Taguchi method is a methodology in engineering that aims to improve the quality of products and processes and can reduce costs and resources to a minimum. The compressive strength of the concrete load is the magnitude of the load per unit area, which causes the concrete specimen to collapse when loaded with a specific compressive force, which is generated by the press machine; the compressive strength of the concrete will increase with increasing age of the concrete, where the compressive strength of the concrete will increase rapidly (linearly). Salinity is the salt content dissolved in water which is one of the physical parameters that can affect the quality of water, soil and sand.
Studi Eksperimen Pengujian Kebulatan Produk Hasil Pembubutan Pada Mesin Bemato Estu, Panji; Erwansyah, Erwansyah; S Suzen, Zaldy
Jurnal Inovasi Teknologi Terapan Vol. 3 No. 1 (2025): Jurnal Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33504/jitt.v3i1.256

Abstract

The machining process in product manufacturing must meet several important criteria, including the product's outcome, accuracy, precision, quality, and quantity. Machine tools that have been used for a long period tend to experience a decline in performance, which can affect the machine's ability to produce products with the required quality, standard, or tolerance. The aim of this study is to evaluate the performance of a lathe machine that has been in use for approximately 10 years. As the machine ages, its performance may decrease, and optimal machine performance significantly influences the machining results. Therefore, an experiment was conducted to test the roundness deviation of the products produced through turning, by varying the spindle speed and depth of cut parameters, while keeping the feed rate constant. This study uses an experimental method to test and analyze machine performance based on the measurement of roundness deviations of the products. The material used was ST-41 steel with a diameter of Ø30 x 110 mm, and the cutting tool used was a Carbide Insert WNMG080404-TSF T9225G. Data on roundness was collected from products produced using the Bemato Series 44378 lathe machine with 9 test samples. Based on the test results, the highest roundness deviation found in BU 27 was 0.088 mm
Optimasi Parameter Proses 3D Print Produk Kopling Menggunakan Filamen PLA (Polylactic Acid) dan Response Surface Methodology Nisah, Khairun; Sateria, Angga; Oktriadi, Yudi; Yudo, Eko; S Suzen, Zaldy
Jurnal Inovasi Teknologi Terapan Vol. 3 No. 1 (2025): Jurnal Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33504/jitt.v3i1.301

Abstract

3D printing technology is one of the latest innovations in the manufacturing industry. One of the uses of 3D printing is manufacturing products and machine components such as making coupling components on the Z axis of a 3D printer machine. 3D printing technology works by extruding thermoplastic filaments to form layers of material gradually. In this research, the filament used is PLA (Polylactic Acid) filament with a diameter of 1.75 mm. This research aims to analyze the effect of process parameters on surface roughness using response surface methodology (RSM). The parameters tested were nozzle temperature (215°C, 230°C, 245°C), layer height (0.2 mm, 0.25 mm, 0.30 mm), and print speed (50 mm/s, 65 mm/s, 80 mm/s). The results showed that nozzle temperature and layer height significantly influenced the surface roughness results. The most optimal process parameters to minimize surface roughness are at nozzle temperature of 249°C, layer height of 0,17 mm, and print speed of 90 mm/s.
Pengaruh Parameter Proses Pencetakan 3D Printing Terhadap Kebulatan Produk Menggunakan Filament PETG Wahyudi, Wahyudi; S Suzen, Zaldy; Pristiansyah, Pristiansyah
Jurnal Inovasi Teknologi Terapan Vol. 3 No. 1 (2025): Jurnal Inovasi Teknologi Terapan
Publisher : Politeknik Manufaktur Negeri Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33504/jitt.v3i1.305

Abstract

3D printing technology, specifically Fused Filament Fabrication (FFF) or Fused Deposition Modeling (FDM), is a popular manufacturing method that uses thermoplastic to print products layer by layer. However, dimensional accuracy is still a challenge. This study evaluates the effect of 3D printing process parameters on the roundness of PETG-based products, using the Taguchi L9 method. Roundness measurement was performed with an indicator dial. The results showed that the optimal parameters were layer height 0,1 mm,Nozzle temperature 250° ,and print speed 25 mm/s, with an average roundness value of 0,078 and the highest S/N value of 19,934. The most influential factor was layer height, followed by infill density and printing speed. The Taguchi method is effective in optimizing process parameters to improve dimensional accuracy and reduce the number of experiments without compromising data quality