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Analisis Keselamatan dan Kesehatan Kerja Menggunakan Metode SWIFT (Structured What If Analysis Technique) Taslim, Rika; Yudistia, Fiki; Hamdy, Muhammad Ihsan
Seminar Nasional Teknologi Informasi Komunikasi dan Industri 2023: SNTIKI 15
Publisher : UIN Sultan Syarif Kasim Riau

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

Abstract

Keselamatan dan Kesehatan Kerja (K3) merupakan hal yang harus dipenuhi oleh penyelenggara kerja. Selain untuk menjaga keselamatan pekerja, juga untuk meningkatkan produktivitas perusahaan. PT. Indah Kiat Pulp and Paper merupakan perusahaan swasta yang bergerak dibidang pembuatan kertas dan tissue. Kegiatan produksi dimulai dari pengolahan kayu menjadi lembaran kertas serta  pengolahan kertas bekas menjadi kertas industry. Perusahaan telah SMK3, namun masih terdapat kecelakaan kerja yang cukup tinggi dikarenakan kurangnya kesadaran pekerja terhadap penggunaan alat pelindung diri. Untuk mengetahui seberapa besar nilai risiko bahaya dilakukan observasi dan wawancara untuk mengetahui papararan bahaya pada kegiatann di area kerja dan memberikan usulan perbaikan terhadap stasiun kerja untuk mengurangi risiko kecelakaan kerja dengan menggunakan metode SWIFT (Structured What If Technique). Berdasarkan nilai RRN yang telah didapat, potensi bahaya yang diketahui dengan risiko tertinggi hingga risiko terendah. Setelah itu dilakukan pengelompokan bahaya kemudian didapatkan 6 prioritassutama, 8 prioritas menengah, 2 prioritas rendah dan 1 prioritas paling rendah.
Facility Layout Design of Mr. Budi's Tofu Factory Using the HIRARC Method and Blocplan Algorithm Tanjung, Rindi Aini; Umam, Muhammad Isnaini Hadiyul; Nur, Muhammad; Suherman, Suherman; Taslim, Rika
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 6, No 3: October 2025
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v6i3.31934

Abstract

Occupational health and safety is something that cannot be separated in human resources where occupational health and safety includes preventing accidents due to work, securing materials, carrying out maintenance to improve living standards and increase productivity. At the Mr. Budi tofu factory, employees have not used Personal Protective Equipment in the production process and the unstructured layout causes work accidents on the production floor. This study aims to conduct an OHS assessment at the Pak Budi tofu factory and redesign the facility layout to reduce work accidents so that the production process is more effective and efficient. The methods used in this research are HIRARC and Blocplan Algorithm. The results of the OHS assessment at the Pak Budi tofu factory show 2 activities with a medium risk level and one activity with a low risk level, in the redesign of the facility layout the distance of material movement in the initial layout is 19.2 m and the distance of material movement in the proposed layout is 11.7 meters where there is a difference in the distance of material movement of 7.5 meters, this shows that the proposed layout can be applied to the Pak Budi tofu factory.
Optimization of Blood Clam Supply Control Using the Artificial Neural Network (ANN) Method Suardi, Syafarudin; Hartati, Misra; Lubis, Fitriani Surayya; Nurainun, Tengku; Taslim, Rika
IJIEM - Indonesian Journal of Industrial Engineering and Management Vol 7, No 1: February 2026
Publisher : Program Pascasarjana Magister Teknik Industri Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/ijiem.v7i1.33669

Abstract

Mr. Badul MSME faces problems in managing blood clam inventory, namely excess and shortage of stock. To overcome this, research was conducted to design an inventory prediction system using the Artificial Neural Network (ANN) method with the Backpropagation algorithm. The ANN model used has an architecture with 10 input neurons, 10 hidden neurons, and 1 output neuron. The inventory data is normalized before the training process, then the results are denormalized to get the actual prediction. The developed model shows good performance with a very low Mean Squared Error (MSE) value of 2.7359e-06, as well as a correlation coefficient of 0.91478, which shows a strong relationship between predictions and actual data. The prediction results cover the period from January 2023 to December 2024. In January 2023, the inventory was predicted to be 96,050 kg, declining in February to 89,205 kg, and dropping sharply to 68,670 kg in March and April. Inventory increases again in May to August with fluctuations from 75,515 kg to 89,205 kg. A similar pattern occurs in 2024, starting with 96,050 kg in January, decreasing in March and April, then increasing again in the middle of the year, and decreasing again towards the end of the year, with the lowest inventory of 65,933 kg in November and December.
Eksplorasi Potensi Limbah Sayur Lokal Indonesia sebagai Sumber Karbon untuk Elektroda Padat Bebas Perekat untuk Penyimpan Energi Elektrokimia: Eksplorasi Potensi Limbah Sayur Lokal Indonesia sebagai Sumber Karbon untuk Elektroda Padat Bebas Perekat Apriwandi, Apriwandi; Sinta Mustika, Widya; Julnaidi, Julnaidi; Taslim, Rika; Taer, Erman
Newton-Maxwell Journal of Physics Vol. 7 No. 1: April 2026
Publisher : UNIB Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/nmj.v7i1.48093

Abstract

Penelitian ini bertujuan mengeksplorasi potensi limbah sayur lokal Indonesia berbasis daun lobak a untuk elektroda karbon padat bebas perekat pada superkapasitor dengan penekanan pada kinerja volumetrik. Elektroda karbon disintesis melalui pra-karbonisasi biomassa, pencetakan bertekanan tinggi, dan pirolisis hingga 800°C tanpa penambahan bahan pengikat, dengan dua variasi sampel, yaitu karbon tanpa perlakuan (DLK) dan karbon dengan impregnasi awal H3PO4 konsentrasi rendah (DLK-P). Karakterisasi dilakukan terhadap perubahan densitas, morfologi, dan komposisi unsur, serta evaluasi sifat elektrokimia menggunakan voltametri siklik. Hasil menunjukkan bahwa impregnasi kimia mampu menghasilkan struktur karbon yang lebih homogen dan mengurangi komponen non-konduktif, tanpa menurunkan stabilitas elektroda monolitik. Kondisi ini berdampak pada peningkatan respons kapasitif dan retensi kapasitansi pada berbagai laju pindai. Elektroda DLK-P mencapai kapasitansi volumetrik sebesar 109 F/cm³, jauh lebih tinggi dibandingkan DLK sebesar 53,4 F/cm³. Temuan ini menegaskan bahwa limbah daun lobak berpotensi dimanfaatkan sebagai bahan baku elektroda karbon padat bebas perekat melalui pendekatan sintesis sederhana dan berkelanjutan.
ANALISIS PEMELIHARAAN MESIN POMPA PULP MENGGUNAKAN METODE RELIABILITY CENTERED MAINTENANCE Fadli Perdana Yuda; Muhammad Ihsan Hamdy; Harpito; Suherman; Rika Taslim
JURNAL PERANGKAT LUNAK Vol 6 No 1 (2024): Jurnal Perangkat Lunak
Publisher : Indragiri Islamic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/jupel.v6i1.3033

Abstract

Implementing a maintenance system in production has a strategic role in maintaining machine performance and preventing bottlenecks. This research focuses on pulp pump machine maintenance problems in paper mills, which cause time delays and decreased performance. The Pulp Pump Machine consists of three machines, including the 924 U 404 Pulp Machine Pump Unit, the 825 M 576 Pulp Machine Pump Unit, and the 825 M 550 Pulp Machine Pump Unit. Lack of intensive maintenance results in component damage such as leaking mechanical seals, oil seals that often leak, loose bearings, and impeller wear. As a result, the machine does not operate optimally, produces defective products, and is detrimental to the company. This research aims to identify critical components and recommend actions using the Reliability Centered Maintenance (RCM) approach. Pump Unit 924 U 404 Pulp Machine showed the largest contribution to damage, reaching a total of 33 incidents (50%). Pulp pump machine components include bearings, mechanical seals, wear rings, shafts, vanes and impellers. From the FMEA calculations, the highest ranking results were obtained, namely the Shaft component with an RPN value of 240, then Bearings with an RPN value of 200, Vane with an RPN value of 192. From the LTA (Logic Tree Analysis) analysis there are 3 critical components, namely shaft, bearing, and vane. The selected distribution uses a normal distribution with the recommended action selected, namely Time Directed (TD).