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USULAN PERANCANGAN PERBAIKAN STASIUN KERJA DENGAN ANALISIS PETA KERJA DAN KEBUTUHAN RUANG UNTUK PENINGKATAN PRODUKTIVITAS Armijal Armijal; Muhammad Firdaus
Jurnal Sains dan Teknologi: Jurnal Keilmuan dan Aplikasi Teknologi Industri Vol 21, No 2 (2021): JURNAL SAINS DAN TEKNOLOGI
Publisher : Sekolah Tinggi Teknologi Industri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36275/stsp.v21i2.421

Abstract

CV. Raya Sport merupakan UKM yang bergerak di bidang konfeksi yang menghasilkan pakaian olahraga. UKM ini memiliki beberapa stasiun kerja, yang salah satunya adalah stasiun kerja penyablonan yang meliputi kegiatan penyablonan dan penjemuran. Pada stasiun ini terdapat kegiatan-kegiatan non-produktif (waste) berupa kegiatan berjalan secara overlapping dan terus menerus dari meja sablon ke area penjemuran pada saat menjemur kaos yang telah disablon serta kegiatan penataan ulang (rework) aktivitas penjemuran. Aktivitas-aktivitas non-produktif ini menyebabkan waktu pengerjaan pada stasiun penyablonan menjadi lebih lama dan tidak produktif. Selain itu, terbatasnya area penjemuran juga menurunkan produktivitas karena operator harus menata jemuran di lantai dan berpotensi menurunkan kualitas sablon. Penelitian ini bertujuan untuk mengevaluasi dan mengusulkan perancangan perbaikan proses dan metode kerja pada stasiun penyablonan menggunakan analisis peta kerja dan kebutuhan ruang (space requirement). Hasil analisis menggunakan PTKTK, FPC dan analisis space requirement diketahui bahwa tangan kiri dan tangan kanan tidak bekerja secara seimbang, waktu pengerjaan yang lama dan tidak produktif, serta kebutuhan ruang (space) yang tidak memadai. Oleh karena itu diperlukan pengkajian dan evaluasi fasilitas kerja dan metode kerja di lantai produksi dengan mempertimbangkan faktor ergonomi, efisiensi dan produktivitas. Usulan perbaikan perancangan stasiun kerja yang diusulkan adalah berupa desain alat bantu penjemuran yang terdiri atas tiang jemuran, rel yang bisa digeser, serta pengait.
Pengendalian Kualitas Cake dengan Seven Tools di Usaha Ladior, Payakumbuh Winny Alna Marlina; Habibullah Habibullah; Armijal Armijal
Jurnal Optimalisasi Vol 9, No 2 (2023): Oktober
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jopt.v9i2.8367

Abstract

Established in 2002, the Ladior Cake and Cookies MSME operates in the culinary industry, specializing in the production of different kinds of moist cakes and pastries. The company places a strong emphasis on quality control. The company suffered from defective products resulting from quality issues in the production of both wet and dry cakes. Cake flaws include burned cakes, uneven cake sizes, unsightly cakes, easily brittle cakes, and moldy cakes. The purpose of this research is to control cake quality utilizing seven tools. This study is using a quantitative methodology. The research findings indicate that five different types of cake defects were obtained using the check sheet; the highest defects were caused by burnt cake when stratification was applied; the data were obtained using a histogram; the scatter diagram displayed the relationship between the factors causing defects; the Control Chart diagram displayed controlled cake production data; the Pareto diagram identified the defects that required attention, the most critical of which was an empty cake; and the Fish Bone Diagram identified the factors that cause burnt cake defects because the oven needed to be replaced. Factors including Man, Machine, Method, and Material are responsible for the highest number of cake defects out of all product. The Ladior Cake & Cookies owners have to improve maintenance, honing worker professionalism, and stepping up production process oversight to cut down on the amount of faulty goods. Seven tools will be added to the TQM technique by future researchers and used with other MSMEs.
ANALISIS PERAMALAN BOX JENKINS TERHADAP PENJUALAN DI UMKM IM LELE, PAYAKUMBUH Winny Alna Marlina; Armijal Armijal; Mutia Khairun Nisa; Mar’ruf Ardy
Industri Inovatif : Jurnal Teknik Industri Vol 13 No 2 (2023): Inovatif Vol. 13 No. 2
Publisher : Prodi Teknik Industri S1 Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/industri.v13i2.6526

Abstract

Im Lele adalah salah satu usaha pertenakan ikan lele berdiri tahun 2017 yang ada di Kota Payakumbuh yang belamat di Batu Nan Limo, Koto Tangah Simalanggang, Kecamatan Payakumbuh, Kabupaten Lima Puluh Kota, Sumatera Barat. Permasalahan yang dihadapi oleh UMKM Im Lele ialah penurunan penjualan ikan lele sejak bulan Agustus 2022. Penurunan penjualan ini menyebabkan berkurangnya keuntungan yang dihasilkan oleh pemilik UMKM karena harga pakan semakin naik dan biaya tidak terduga lainnya. Dalam usaha ini belum menerapkan peramalan (forescasting) penjualan sehingga jumlah produksi dan permintaan ikan lele mengalami fluktuasi. Tujuan penelitian untuk meramalkan permintaan dari usaha ikan lele Im untuk 6 periode. Metode penelitian merupakan penelitian kuantitatif dengan pendekatan forecasting dengan model ARIMA. Hasil penelitian model forecasting yang cocok ialah dengan model ARIMA atau Box Jenkins (1, 1, 1) dengan jumlah peramalah selama 6 bulan sebanyak 6.481 lele
Pengukuran Kerja di UMKM Penggilingan Padi di Payakumbuh dengan Metode Studi Waktu Winny Alna Marlina; Fani Ramadhani; Armijal
Jurnal Serambi Engineering Vol. 9 No. 2 (2024): April 2024
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

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

Abstract

MSMEs Heler Sari is one of the rice millers in Payakumbuh, West Sumatera. In running a rice milling business, the owner has never measured the standard time of workers, so the management cannot determine the optimal number of workers. This research aims to measure the standard time of workers in MSMEs as a consideration for owners in optimising productivity by paying attention to allowances and worker factor ratings. This research is quantitative with a time study approach using a stopwatch as the primary data source. The research results showed that the standard time for each work element for lifting grain was 6.023 minutes, drying grain 10.2 minutes, putting grain into sacks 7.264 minutes, putting grain into the mill 11.373 minutes, sewing rice sacks 1.928 minutes, putting rice into sacks 3.489 minutes, lifting rice to storage 3.89 minutes. 3.89 minutes. Measuring work is very important, especially knowing the standard times of work components. Increasing productivity can reduce time and costs and achieve production goals.
Innovative Multi-Criteria Decision-Making Approach for Supplier Evaluation: Combining TLF, Fuzzy BWM, and VIKOR Ikhwan Arief; Dicky Fatrias; Ferry Jie; Armijal Armijal
Jurnal Optimasi Sistem Industri Vol. 22 No. 2 (2023): Published in December 2023
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v22.n2.p179-196.2023

Abstract

When confronted with underperforming suppliers, the need to evaluate and improve supplier performance becomes apparent. However, the inherent inaccuracies in information introduce complexity, especially when subjective human judgment is involved in the supplier evaluation process. Associated with such problem, this study presents a novel methodology for supplier performance evaluation in the crumb rubber industry, integrating the Taguchi Loss Function (TLF), fuzzy Best-Worst Method (BWM), and VIKOR technique in group decision-making environment. Aimed at addressing the challenges in industries with variable supplier quality and performance, such as the crumb rubber industry in Indonesia, the methodology was empirically tested to demonstrate its practical utility. The process involved identifying evaluation criteria through literature review tailored  to the needs of decision makers (DMs), applying TLF to quantify losses from supplier performance deviations, using fuzzy BWM to determine criteria weights based on the DMs judgment, and employing the VIKOR technique for comprehensive supplier ranking. The findings underscore the methodology's effectiveness in enhancing decision-making, offering a unified metric that accommodates diverse criteria and balances precise data with subjective assessments. This approach simplifies the evaluation process, particularly in situations with conflicting interests among decision-makers. Demonstrating its practical application in the crumb rubber industry, the study highlights the methodology's potential for broader industrial applicability. Future research could explore comparative analyses with other analytical methods, further establishing the methodology's robustness and adaptability in different management contexts. 
Waste Evaluation in Crude Palm Oil (CPO) Production Using Lean Manufacturing Approach Armijal; Marta, Ayu; Patrisina, Reinny; Hasan, Alizar; Amrina, Elita
Jurnal Sistem Teknik Industri Vol. 27 No. 1 (2025): JSTI Volume 27 Number 1 January 2025
Publisher : TALENTA Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jsti.v27i1.19036

Abstract

As business competition intensifies, an organization needs to streamline operations and improve plant performance, focusing on minimizing waste. At Company XYZ, inefficient processes have led to persistent waste in crude palm oil (CPO) production, particularly in the forms of motion, waiting, and transportation. The objective of this study is to identify waste in the CPO production, analyze its root causes, and propose actionable improvements. A lean manufacturing approach was employed using Value Stream Mapping (VSM), Waste Assessment Model (WAM), Waste Assessment Questionnaire (WAQ), Value Stream Mapping Tools (VALSAT), and Cause-and-Effect Diagram methodologies. The VSM analysis revealed motion, waiting, and transportation as the primary waste categories. Waste identification using WAM ranked motion as the most significant waste (19.39%), followed by waiting (14.91%), transportation (14.57%), overproduction (14.23%), defects (14.21%), inventory (14.17%), and overprocessing (8.52%). Process Activity Mapping (PAM) identified 34 activities, with 50% being value-added, 9% non-value-added, and 41% necessary but non-value-added. This research improves operational performance and productivity in CPO production using lean tools. These interventions are expected to reduce waste and enhance operational performance significantly.