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Analisis Pengendalian Kualitas dengan Menggunakan First Pass Yield dan Fishbone Diagram Pada PT X Sri Susilawati Islam; Fatkhurozak Fatkhurozak
JST (Jurnal Sains Terapan) Vol 4, No 2 (2018): JST (Jurnal Sains Terapan)
Publisher : Pusat Penelitian dan Pengabdian kepada Masyarakat, Politeknik Negeri Balikpapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32487/jst.v4i2.516

Abstract

Industrial competition in the current global industrial era is not only influenced by product prices but also influenced by customer satisfaction with the products, one of the factors that influence customer satisfaction is the quality of the products, for which quality control is needed. This studies aims to measure the level of quality control as seen from the percentage of defective products and customer satisfaction. This research was conducted at PT X  which is a cable producing company. The method used in this studies is the First Pass Yield to measure the percentage of defective products, Customer Complaints and production claims related to the quality of raw materials & haspels to measure customer satisfaction through questionnaires. From data processing, the average value of First Pass Yield is 94.2% which indicates the average rate of defective products per month is 5.8%. Customer complaints show customers are not satisfied with the Non Standard Length relating to the marker and cable length. So as to improve product competitiveness we provide several improvement proposals based on the fault categoriesthat arise.
Analisis Preventive Maintenance Pada Mesin Produksi dengan Metode Fuzzy FMEA sri susilawati islam
Jurnal Teknologi Terpadu Vol 8, No 1 (2020): JTT (Jurnal Teknologi Terpadu)
Publisher : Pusat Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32487/jtt.v8i1.766

Abstract

Kegiatan perawatan mesin (maintenance) merupakan kegiatan yang memiliki peran yang sangat penting untuk menunjang kelancaran proses produksi. Maintenance yang tidak teratur dapat mengakibatkan mesin mengalami gangguan atau kerusakan (downtime), hal ini dapat menghambat kelancaran proses produksi. Agar proses produksi dapat berjalan sesuai dengan perencanaan, maka harus ditunjang dengan keadaan mesin yang handal sehingga diperlukan perencanaan perawatan mesin yang baik. Pereventive maintenance merupakan salah satu perencanaan perawatan yang banyak digunakan untuk memastikan bahwa mesin dapat berjalan sesuai dengan fungsinya. Pada penelitian ini, studi kasus dilakukan di PT PLN Sektor Tello Makassar sebab perusahaan tersebut mempunyai peranan penting dalam menyuplai arus listrik di kota Makassar yaitu sebesar 197,61 MW. Jika terjadi kerusakan mesin maka akan berdampak pada aktivitas ekonomi masyarakat yang dapat menyebabkan kerugian, saat ini perencanaan maintenance yang dilakukan oleh PT PLN Sektor Tello Makassar belum berjalan optimal karena masih terjadinya kerusakan mesin generator saat proses produksi berlangsung. Agar kegagalan mesin dapat dikurangi, maka penelitian ini akan menggunakan metode Fuzzy FMEA (Failure Mode and Effect Analysis) untuk mengidentifikasi kerusakan mesin dan menentukan prioritas mesin dalam proses perawatan serta jenis perawatannya berdasarkan nilai RPN (Risk Priority Number).
Implementation of fuzzy logic control for the automation of diesel engine cooling systems Randis Randis; Sri Susilawati Islam; Nur yanti; Novita Novita
Jurnal POLIMESIN Vol 21, No 2 (2023): April
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v21i2.3359

Abstract

Conventional cooling systems on four-wheeled vehicles generally use a cooling fan driven by the crankshaft through pulleys and a belt (V-belt), causing the wastage of fuel in the vehicle. This study aims to design and implement fuzzy logic control on a prototype of an automatic cooling system for a diesel engine. The tool's design uses the experimental method, uses Arduino as a microcontroller that functions as a data processing center, with inputs of two temperature sensors and a DC motor as output to rotate the fan, and fuzzy logic control methods as an automatic control system. The research results show that this tool can operate automatically according to the engine temperature, so it is expected to produce greater effectiveness and efficiency. Measurements on each component have been carried out and show satisfactory results, testing on the temperature sensor shows a small error. Comprehensive testing of the tool shows good performance, including the PWM output to adjust the rotational speed of the fan motor so that the system can be used properly. This research will help create a prototype of an automatic cooling system for a diesel engine cooling system so that it can be developed to reveal better fuel efficiency in the future.