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Journal : Teknologika

OPTIMIZATION OF MACHINERY FIXTURE DESIGN THE MAIN COMPONENTS OF SLING BEARINGS USE A PNEUMATIC SYSTEM fuzi rachmat ramdhan; Faiz Azri; Ghany Heryana; Dianta Mustofa Kamal; Fuad Zainuri; Hady Sofyan
Jurnal Teknologika Vol 13 No 1 (2023): Jurnal Teknologika
Publisher : Sekolah Tinggi Teknologi Wastukancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51132/teknologika.v13i1.273

Abstract

Sling bearings are one of the important components in the cable car transportation system. These bearings function to support the weight of the cable car and reduce friction between the train and the rail/sling so that the train can move smoothly and safely. To produce quality sling bearings, a precise and accurate machining process is required. The manufacturing process of ropeway sling bearings goes through a machining process, where raw materials that are usually metals or metal alloys will be cut, shaped, and polished to form the desired bearing shape. Fixture machining is one of the most commonly used techniques in the machining process, where the workpiece is clamped or fastened to a specially designed fixture so that the workpiece remains stable during the machining process. The purpose of this engineering is to produce a fixture design for sling bearing components with increased quantity and quality of products on CNC machines by validating the design through simulation. In this study, tests were conducted using a conventional machining fixture and a machining fixture equipped with a pneumatic system. The test results show that the machining fixture equipped with a pneumatic system is able to increase the production speed and efficiency of cable car sling bearings by up to 20% compared to the conventional fixture. This research makes an important contribution to the cable car sling bearing manufacturing industry in improving production efficiency and final product quality. In addition, this research can also be a reference for further research on the optimization of the cable car sling bearing production process.
Product Quality Control Using Six-Sigma Method and Failure Mode and Effect Analysis at Core Board Purwakarta Company Nugraha, Riro fizri; Hady Sofyan; Afif Fawa Idul Fata
Jurnal Teknologika Vol 14 No 2 (2024): Jurnal Teknologika
Publisher : Sekolah Tinggi Teknologi Wastukancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51132/teknologika.v14i2.389

Abstract

PT. Papertech is a company engaged in manufacturing that produces core board type paper. The process of making core boards is a continuous process where every day the company always produces coreboards that are not just one type of core board. Given these problems, one way to minimize defective product rosters is to use the six sigma method analysis and failure mode and effect analysis. Research analysis using the six sigma method goes through several stages, namely the Define stage, which defines a general picture regarding the influence of the process on customer service. Meanwhile, at the Measure stage, namely Critical To Quality, Control Map and DPMO and sigma calculations for the 3 highest causes of defects, namely low plybond, low gsm, low cobb. The DPMO value in November 2023 is 450000 with a sigma value of 1.626, December 2023 is 422535 with a sigma value of 1.695, January 2024 is 474934 with a sigma value of 1.563, February 2024 is 560000 with a sigma value 1,349, March in 2024 it will be 540,000 with a sigma value of 1,400. The Analyze stage is to determine the main cause of the defect using fishbone. The Improve stage is to make improvements using Failure Mode and Effect Analysis (FMEA) according to the highest Risk Priority Number (RPN) value level of 540 for material, 189 for machine, 540 for human and 61 for method. The Control stage is documenting the quality improvement results stage
Evaluasi Inovasi Prioritas Smart City Di Kabupaten Bandung Barat Menggunakan Metode Fuzzy Logic Ramdhani, Rizky Fajar Ramdhani; Hady Sofyan; Rani Sri Wahyuni
Jurnal Teknologika Vol 15 No 2 (2025): Jurnal Teknologika
Publisher : Sekolah Tinggi Teknologi Wastukancana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51132/teknologika.v15i2.513

Abstract

This study aims to assess the implementation of smart city innovations in West Bandung Regency in 2024, utilizing a fuzzy logic-based approach. Unlike previous research, which relied on the Unified Theory of Acceptance and Use of Technology (UTAUT) model, this study employs fuzzy logic techniques to evaluate user satisfaction with 37 prioritized innovative city applications. Fuzzy logic is selected for its capability to process qualitative and subjective data, enabling a more adaptive assessment of user perceptions. Data were gathered through structured questionnaires and in-depth interviews with public service employees, who are the primary users of these digital platforms. Evaluation dimensions—including ease of use, perceived benefits, social influence, and facility availability—were translated into fuzzy sets and analyzed through a Mamdani fuzzy inference system to derive comprehensive satisfaction scores. The results reveal that the “Smart Branding: Visit KBB” and “BA QRIS” applications achieved the highest satisfaction levels, particularly in terms of usability and infrastructure support. The study offers fuzzy logic-based recommendations to enhance the effectiveness, acceptance, and strategic development of smart city innovations. It also proposes an alternative, more responsive evaluation method for policy-making in the context of digital governance. Keyword: smart city, fuzzy logic, user satisfaction, innovation, West Bandung Regency