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All Journal Prosiding Seminar Nasional Teknik Mesin Journal of Applied Health Management and Technology
Kasimin, Kasimin
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Aerospace Engineering Control & Systems Engineering Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering

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Modifikasi Vibrating Screen 566-VS1 Finishmill Narogong 2 Yudistira, Beni; Sholeh, Moch.; Yakub, Yakub; Kasimin, Kasimin
Seminar Nasional Teknik Mesin 2019: Prosiding Seminar Nasional Teknik Mesin 2019
Publisher : Politeknik Negeri Jakarta

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Abstract

Makalah ini membahas tentang modifikasi vibrating screen 566-VS1 pada metal trap yang berada di area Finishmill Narogong 2 PT. Solusi Bangun Indonesia Tbk. Metal Trap merupakan sebuah equipment yang berfungsi memisahkan material metal yang terbawa oleh aliran semen pada Air Slide. Bagian-bagian Metal Trap terdiri dari aeration bin trap, blower, slide gate, vibrating screen, dan reject tray. Modifikasi yang dilakukan fokus pada vibrating screen dari metal trap. Root Cause Analysis (RCA) digunakan sebagai metode pemilihan permasalahan. Permasalahan utama yang didapatkan adalah penyaringan tidak berjalan dengan baik pada vibrating screen sehingga mengakibatkan bin aeration trap penuh dan material metal yang berada pada aliran semen menyumbat spliter air slide menuju separator, hal ini menyebabkan proses feeding separator menjadi tidak seimbang. Modifikasi dilakukan dalam beberapa tahap yaitu tahap pearancangan yang meliputi penambahan kapasitas pada vibrating screen, penurunan sudut pada screen dan penggantian model screen dengan menggunakan stainless steel rod, setelah itu dilakukan tahap realisasi serta proses monitoring pada kinerja vibrating screen untuk menentukan maintenance schedule yang tepat agar Vibrating screen tetap dalam performa yang baik.
APPLICATION OF THE CONE BEAM COMPUTED TOMOGRAPHY (CBCT) MODALITY WITH WEIGHT BEARING TECHNIQUE TO IDENTIFY OSTEOARTHRITIS (OA) IN THE KNEE JOINT Dwitya Surya Wrddhi Putra, IM; Sudiyono, Sudiyono; Kasimin, Kasimin
Journal of Applied Health Management and Technology Vol. 4 No. 1 (2022): January 2022
Publisher : Postgraduate Program , Poltekkes Kemenkes Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31983/jahmt.v4i1.8237

Abstract

ABSTRACTBackground : Osteoarthritis (OA) is a degenerative joint disease that causes inflammation of the cartilage due to the load that is often received by the joints. The knee joint is a part that is often affected by OA. Radiographic and CT examinations can be used to check for OA of the knee. Radiographic examination has the advantage of optimally displaying OA because the examination is carried out under weight bearing conditions, and CT is superior in displaying anatomical details due to cross sectional and 3D reconstruction. Technological developments present Cone Beam CT (CBCT) weight bearings that combine the advantages of radiographic and CT examinations. The purpose of this study is to determine the role and benefits of CBCT weight bearing on knee joint image information in cases of OA.Method : This type of research is literature review research with a narrative review approach. The databases used in the review articles include Science Direct, ProQuest, PubMed, DOAJ, Google Scholar, Wiley Online Library, ISI Web of Knowledge, and the Oxford Journal. The articles that have been obtained will be processed in tabulated form for later extraction.Result : The results of this study indicate that weight bearing is able to assess degeneration causing internal rotation in the range of +/- 2.8-3.1o, lateral patellar shift up to +/- 0.4 mm, joint space width (JSW) up to +/- 0.5 mm, meniscal extrusion (ME) up to +/- 10.2 mm. Conclusion : CBCT is used to obtain volumetric and cross sectional 3D knee images, in order to obtain images with high spatial resolution with low doses, detailed bone structure images, short scan times, visualization of narrowing and progression of OA in JSW clearly, visualization of OA in the menisci, as well as visualizing the complexity of the joint and soft tissue images so that OA is easily identified.
Co-Authors Dwitya Surya Wrddhi Putra, IM Moch. Sholeh, Moch. Sudiyono Sudiyono Yakub Yakub, Yakub Yudistira, Beni