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Development of Smart Simulator for Electronic Fuel Injection (EFI) fuel system based on Quick Response Code (QR Code) for Learning Media Hidayat, Nuzul; Wakhinuddin, Wakhinuddin; Lapisa, Remon; Milana, Milana; Muslin, Muslim; Sardi, Juli; Wirdianto, Eri
JOIV : International Journal on Informatics Visualization Vol 8, No 3 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.3.2209

Abstract

This research aims to develop learning media in the form of an intelligent fuel system simulator, namely electronic fuel injection (EFI) on motorbikes, which focuses on developing the addition of Quick Response (QR) codes as additional information from the simulator, which is connected to video on the YouTube platform. With the help of the QR code, it is scanned using a smartphone so that the QR code can be connected directly to YouTube, providing additional information about the Smart simulator EFI system on motorbikes. This research was carried out by applying the Research and Development method and following the Plomp model, which consists of the following stages: (1) preliminary investigation, (2) designing and making a prototype, and (3) assessment. The existing simulator was developed by adding a QR code, and the QR code will be connected to videos that have been uploaded on the YouTube platform. QR codes are created using the online QR code generator platform. Assessment of the smart simulator is carried out through a questionnaire filled out by media experts and subject experts, as well as through observation sheets during smart simulator testing. The research results are a smart simulator product for EFI fuel on motorbikes equipped with a QR code. Evaluation by media and material experts shows that the smart simulator is declared valid. Meanwhile, the results of observations during product testing show that the smart simulator can describe the characteristics of the EFI fuel system on a motorbike according to the actual situation.
MUSIC-3D Approach and Kraljic’s Purchasing Portfolio Model in Determining PT Semen Padang's Spare Parts Procurement Strategy Wirdianto, Eri; Rahman, Anatachia; Milana, Milana
MOTIVECTION : Journal of Mechanical, Electrical and Industrial Engineering Vol 6 No 2 (2024): Motivection : Journal of Mechanical, Electrical and Industrial Engineering
Publisher : Indonesian Mechanical Electrical and Industrial Research Society (IMEIRS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46574/motivection.v6i2.326

Abstract

MRO (Maintenance, Repair, Operations) is a type of inventory to maintain the smooth production process. The large number of spare parts to be managed and their lumpy usage patterns are a challenge in the procurement process. This research aims to determine the classification and procurement strategy for each spare parts classification group in PT. Semen Padang. The classification method used is MUSIC-3D which consists of ABC, FNS and SDE. This classification produces 27 spare parts groups which are mapped into Kraljic's Matrix. From the mapping results, the 27 groups are spread into four quadrants. Strategic Quadrant with recommendations for partnership contract types and long-term relationships, Leverage Quadrant with recommendations for partnership or call of contract types and short-term relationships, Bottleneck Quadrant with recommendations for call of contract types and short-term relationships, Non-Critical Quadrant with recommendations for spotting purchase in the purchasing process. MRO (Maintenance, Repair, Operations) merupakan salah satu jenis persediaan untuk menjaga kelancaran proses produksi. Banyaknya jumlah suku cadang yang dikelola serta pola pemakaiannya yang lumpy menjadi tantangan dalam proses pengadaannya. Penelitian ini bertujuan untuk menentukan klasifikasi dan strategi pengadaan untuk setiap kelompok klasifikasi suku cadang di PT. Semen Padang. Metode klasifikasi yang digunakan adalah MUSIC-3D yang terdiri dari ABC, FNS dan SDE. Klasifikasi tersebut menghasilkan 27 kelompok suku cadang yang dipetakan ke dalam Kraljic’s Matrix. Dari hasil pemetaan, ke 27 kelompok suku cadang tersebar ke dalam empat kuadran. Kuadran Strategic dengan rekomendasi tipe kontrak partnership dan hubungan jangka panjang, Kuadran Leverage dengan rekomendasi tipe kontrak partnership atau call of contract dan hubungan jangka pendek, Kuadran Bottleneck dengan rekomendasi tipe kontrak call of contract dan hubungan jangka pendek, Kuadran Non–Critical dengan rekomendasi melakukan spot purchase dalam proses pembeliannya.
Penerapan Siklus Plan-Do-Check-Act (PDCA) untuk Mengurangi Pemborosan dalam Industri Jasa Rahmayanti, Dina; Wirdianto, Eri; Afrileni, Wirna
Jurnal Optimalisasi Vol 11, No 2 (2025): Oktober
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This research aims to increase the efficiency of aging time in the car refurbished process in T XYZ by applying the PDCA (Plan-Do-Check-Action) method. The company's main problem is the high number of idle cars due to aging times that exceed standards, especially in repair, service, and preparation activities. The research methods used include identifying the root of the problem using a fishbone diagram, designing solutions using the 5W+1H approach, improving implementation, and evaluating results. Implementation results show a decrease in the average aging time: in repair from 5,333 to 3,833 days, in service from 6 to 3,333 days, and preparation from 1,333 to 0.967 days. The number of idle cars also decreased gradually to reach 86 units with an actual aging time of one day. These findings prove that implementing PDCA effectively increases the efficiency of the refurbished process, reduces time waste, and supports increased company operational performance. This research contributes to developing continuous improvement practices in the automotive industry. It can be a reference for other service companies that are optimizing productivity through a quality management approach.