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Quality Control Analysis Using Statistical Quality Control (SQC) and Fault Tree Analysis (FTA) Methods in Semoga Laris Tofu Factory Aini, Mutiara Qurrota; Tosungku, La Ode Ahmad Safar; Gunawan, Suwardi
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 5, No 1: February 2024
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v5i1.23039

Abstract

Semoga Laris tofu factory is a business engaged in the production of tofu. This factory produces approximately 80 drums of tofu per day. There are problems faced at this factory, namely the increase in defective products, namely the texture of the tofu that is too soft, dirty tofu, and the shape of the tofu that is too thin. This can lead to decreased consumer confidence. Every day there are at least 10-15% defective products. This study was conducted to determine the types of product defects, the causes of product defects, and propose improvements to minimize defective products in tofu processing. The methods used in this research are Statistical Quality Control (SQC) and Fault Tree Analysis (FTA). The quality tools of SQC method are check sheet, histogram, pareto diagram, P control map, and fishbone diagram. Then proceed using the Fault Tree Analysis (FTA) method to determine suggestions and corrective actions. Based on the results of research using the SQC method, it is known that the number of thin size defects is 46.231, there is dirt on the tofu as many as 16.093 seeds, and the texture of soft tofu is 27.357 seeds. The results of the analysis using the fault tree analysis (FTA) method show that the causes of product defects include insufficient rest time (D2), irregular machine maintenance (E2), insufficient rest time (F1), and no temperature checker. Proposed improvements that can be given are by providing measuring instruments, making machine maintenance schedules, making machine control cards, giving breaks, supervising, giving gifts to workers, and providing thermometers.
The Language Of Women Used in The Podcast Everything Goes With Emma Chamberlain a Talk With Kendall Jenner: A Sociolinguistic Study Aini, Mutiara Qurrota; Simatupang, Ervina CM
JURNALISTRENDI : JURNAL LINGUISTIK, SASTRA, DAN PENDIDIKAN Vol 10 No 2 (2025): November 2025
Publisher : Universitas Nahdlatul Wathan Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51673/jurnalistrendi.v10i2.2503

Abstract

Studi ini menyelidiki hubungan antara fungsi bahasa dan fitur linguistik wanita dalam komunikasi, dengan fokus pada interaksi dalam episode podcast yang menampilkan Emma Chamberlain dan Kendall Jenner. Data dikumpulkan dengan mentranskripsi episode secara verbatim dan membandingkannya dengan audio asli untuk memastikan akurasi. Dengan menggunakan teknik pengkodean kualitatif, fitur linguistik kunci diidentifikasi dan dikategorikan secara sistematis, termasuk kata – kata penghalus (27%), pertanyaan penutup (10%), kenaikan intonasi (5%), kata sifat kosong (7%), kata-kata warna (5%), penekanan (12%), tata bahasa berlebihan (15%), formula sangat sopan (19%), dan penghindaran kata kasar (7%). Analisis data menekankan pemahaman fungsi-fungsi fitur ini dalam dialog. Validasi dicapai melalui proses tinjauan sejawat dan triangulasi dengan literatur yang ada, memastikan temuan yang dapat diandalkan. Hasilnya menunjukkan prevalensi yang signifikan dari fitur-fitur ini, yang menggambarkan bagaimana kedua pembicara mengarahkan identitas mereka dan mendorong interaksi kolaboratif. Pada akhirnya, studi ini menyoroti peran penting bahasa dalam membentuk hubungan antarpribadi dan mempromosikan pemahaman timbal balik khususnya komunikasi antara perempuan, menunjukkan bahwa pemilihan kata dan strategi linguistik yang dipilih dengan cermat dapat memfasilitasi percakapan yang lebih bermakna dan memperkuat ikatan sosial dalam konteks sosial yang beragam.