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All Journal JURNAL PASTI (PENELITIAN DAN APLIKASI SISTEM DAN TEKNIK INDUSTRI) Journal Industrial Servicess POLYGLOT Journal of Environmental Science and Sustainable Development Journal Industrial Manufacturing Journal of Integrated System
Hartono, Natalia
Universitas Pelita Harapan Tangerang, Indonesia
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Transportation

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Journal : Journal Industrial Servicess

 1 
The 1-D bin packing problem optimisation using bees algorithm Natalia Hartono; Asrul Harun Ismail; Sultan Zeybek; Mario Caterino; Kaiwen Jiang; Murat Sahin; Christine Natalia
Journal Industrial Servicess Vol 7, No 2 (2022): April 2022
Publisher : Fakultas Teknik Jurusan Teknik Industri Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/jiss.v7i2.14387

Abstract

The bin packing problem is a classic combinatorial optimisation problem that is widely used in various applications such as assembly line balancing, scheduling, and time-tabling. Metaheuristic algorithms can provide solutions to these problems faster than exact methods. Bees Algorithm, a metaheuristic algorithm inspired by the foraging activity of bees, is known for its performance in solving optimisation problems. To our best knowledge, this is the first use of the Bees Algorithm to solve a bin packing problem. In this paper, we use the basic Bees Algorithm to demonstrate near-optimal solutions and measure the accuracy of solutions to the one-dimensional bin packing problem. The algorithm procedure and parameter settings are set following the previous research. Benchmark datasets are used in the experiment, and accuracy is measured. The results indicate that the basic Bees Algorithm for bin packing problems and previous research on travelling salesman problems produce similar accuracy results.
STUDI KASUS PERBANDINGAN PERANCANGAN TATA LETAK FASILITAS PABRIK PADA PT SENNATRA PENDAWATAMA SECARA MANUAL DAN DENGAN SOFTWARE VIP-PLANOPT10 Natalia Hartono; Yuliana Yuliana
Journal Industrial Servicess Vol 3, No 1c (2017): Oktober 2017
Publisher : Fakultas Teknik Jurusan Teknik Industri Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/jiss.v3i1c.2101

Abstract

Penelitian ini berisi rancangan perbaikan tata letak fasilitas pabrik pada PT Sennatra Pendawatama yang memiliki permasalahan tata letak fasilitas di dalam pabriknya. Penyebabnya adalah aliran bahan yang berpola zig-zag dan menyebabkan jarak perpindahan antar bahan yang tinggi. Perusahaan juga mengalami permasalahan di area produksi karena gudang penuh sehingga barang jadi diletakkan pada area produksi yang kosong. Tujuan dari penelitian ini adalah untuk merancang tata letak fasilitas pabrik pada PT Sennatra Pendawatama dengan membandingkan transportation cost index terendah dari perancangan secara manual dan perancangan menggunakan software VIP-PLANOPT10. Pengambilan data dilakukan dengan pengamatan langsung dan wawancara. Setelah itu dilakukan peramalan untuk lima tahun. Hasil peramalan digunakan untuk menghitung kebutuhan mesin produksi, kebutuhan luas pabrik,bahan baku, dan operator. Tahap berikutnya adalah melakukan perhitungan secara manual dengan menggunakan Activity Relationship Chart (ARC), Dimensionless Block Diagram (DBD), dan Area Allocation Diagram (AAD). Tahap berikutnya adalah merancang dua alternatif tata letak usulan secara manual. Tahap selanjutnya merancang tata letak usulan dengan menggunakan software yang kemudian dibandingkan dengan perhitungan manual berdasarkan perhitungan Transportation Cost Index terendah. Kesimpulan menunjukan hasil menggunakan software lebih baik karena aliran perpindahan yang lebih baik dan biaya yang lebih rendah. 
An application of multiple regression for predicting Turbidity of standard water quality for industrial and household consumption Yusraini Muharni; Natalia Hartono
Journal Industrial Servicess Vol 7, No 1 (2021): Oktober 2021
Publisher : Fakultas Teknik Jurusan Teknik Industri Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36055/jiss.v7i1.12411

Abstract

A multiple regression approach was applied in this study to predict the Turbidity value of standard water in a water treatment plant. Turbidity is a level of cloudiness in water due to the presence of particles or microorganisms. Turbidity in standard water did not affect human health in terms of hazardous, even though it represents poor quality water. Water treatment plants reduce the cloudiness in water by applying the chlorination process. There are three independent variables of water quality involved to predict turbidity value. They are PH, color-spectrum, and electrical conductivity. The correlation among variables was checked before conducting multiple regression. Color-spectrum has the highest correlation with turbidity. The stepwise approach remains two independent variables involved in multiple regression equation, color-spectrum and electrical conductivity with the value of   R-square equal to 0,97. Meaning that the two variables have the ability to explaining variations in turbidity up to 97 %. 
Co-Authors Asrul Harun Ismail, Asrul Harun Caterino, Mario Chandra, Giovanni Hezekiah Christiani, Agustina Christine Natalia Cliff Febryan Sumendap Eker, Fatih Mehmet Evanglin Millenia Lumempow Kaiwen Jiang Larasati, Candida Keshia Laurence Laurence Laurence Laurence Laurence Laurence Laurence` Laurence Mario Caterino Melvin Pangestu Murat Sahin Oktavianus, Yorvan Panjaitan, Andry M. Prayoga Nathan Subandi Ryan Rakadhitya Sultan Zeybek Suluova, Hamid Furkan Vincent Tiogana Yorvan Oktavianus Yuliana Yuliana Yusraini Muharni Zeybek, Sultan