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All Journal snimed Media Informatika Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Seminar Nasional Informatika (SEMNASIF) Jurnal Sistem dan Manajemen Industri JURNAL ILMIAH INFORMATIKA Automata Idealis : Indonesia Journal Information System
Zainudin Zukhri
Jurusan Teknik Informatika, Universitas Islam Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering Transportation

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Intelligent optimisation for multi-objectives flexible manufacturing cells formation Muhammad Ridwan Andi Purnomo; Imam Djati Widodo; Zainudin Zukhri
Jurnal Sistem dan Manajemen Industri Vol. 8 No. 1 (2024): June
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v8i1.7974

Abstract

The primary objective of conventional manufacturing cell formation typically uses grouping efficiency and efficacy measurement to reduce voids and exceptional parts. This objective frequently leads to extreme solutions, such as the persistently significant workload disparity among the manu­facturing cells. It will have a detrimental psychological impact on operators who work in each formed manufacturing cell. The complexity of the problem increases when there is a requirement to finish all parts before the midday break, at which point the formed manufacturing cells can proceed with the following production batch after the break. This research examines the formation of manufacturing cells using two widely recognized intelligent optimization techniques: genetic algorithm (G.A.) and particle swarm optimisation (PSO). The discussed manufacturing system has flexible machines, allowing each part to have multiple production routing options. The optimisation process involved addressing four simultaneous objectives: enhancing the efficiency and efficacy of the manufacturing cells, minimizing the deviation of manufacturing cells working time with the allocated working hours, which is prior to the midday break, and ensuring a balanced workload for the formed manufacturing cells. The optimisation results demonstrate that the G.A. outperforms the PSO method and is capable of providing manufacturing cell formation solutions with an efficiency level of 0.86, efficacy level as high as 0.64, achieving a minimum lateness of only 24 minutes from the completion target before midday break and a maximum difference in workload as low as 49 minutes.
PENGGUNAAN BINDING PADA PENGEMBANGAN WEBSITE PENERIMAAN MAHASISWA BARU DENGAN FRAMEWORK ANGULAR Jatri, Rashid Adani Maulana; Zukhri, Zainudin
IDEALIS : InDonEsiA journaL Information System Vol 6 No 2 (2023): Jurnal IDEALIS Juli 2023
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/idealis.v6i2.3026

Abstract

Universitas Islam Indonesia (UII) merupakan salah satu perguruan tinggi yang sudah menggunakan aplikasi berbasis web untuk melakukan proses penerimaan mahasiswa baru. Proses ini menggunakan aplikasi yang bernama UIIAdmisi sejak tahun 2016. Akan tetapi, aplikasi tersebut memiliki ketertinggalan teknologi berupa source code yang kurang rapi dan terstruktur serta membutuhkan fitur baru yaitu landing page untuk mengategorikan pengguna dan fitur pencarian Nomor Induk Utama (NIU) bagi pengguna yang melupakan NIU mereka berdasarkan Nomor Induk Kependudukan (NIK). Oleh karena itu, dibutuhkan sebuah solusi yang dapat membantu developer menyederhanakan kode dan proses coding. Berdasarkan masalah tersebut penelitian ini bertujuan untuk mengimplementasikaan binding sebagai solusi kerapian kode dan peremajaan website. Binding diimplementasikan menggunakan framework Angular dengan metode agile yang mengedepankan kecepatan sebagai metode penelitian. Hasil dari penelitian ini, binding dapat digunakan untuk merapikan struktur source code dengan mengurangi jumlah baris dan menyederhanakan proses coding sehingga menghasilkan source code yang lebih singkat dan struktur proyek yang tertata.
Intelligent optimisation for multi-objectives flexible manufacturing cells formation Purnomo, Muhammad Ridwan Andi; Widodo, Imam Djati; Zukhri, Zainudin
Jurnal Sistem dan Manajemen Industri Vol. 8 No. 1 (2024): June
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsmi.v8i1.7974

Abstract

The primary objective of conventional manufacturing cell formation typically uses grouping efficiency and efficacy measurement to reduce voids and exceptional parts. This objective frequently leads to extreme solutions, such as the persistently significant workload disparity among the manu­facturing cells. It will have a detrimental psychological impact on operators who work in each formed manufacturing cell. The complexity of the problem increases when there is a requirement to finish all parts before the midday break, at which point the formed manufacturing cells can proceed with the following production batch after the break. This research examines the formation of manufacturing cells using two widely recognized intelligent optimization techniques: genetic algorithm (G.A.) and particle swarm optimisation (PSO). The discussed manufacturing system has flexible machines, allowing each part to have multiple production routing options. The optimisation process involved addressing four simultaneous objectives: enhancing the efficiency and efficacy of the manufacturing cells, minimizing the deviation of manufacturing cells working time with the allocated working hours, which is prior to the midday break, and ensuring a balanced workload for the formed manufacturing cells. The optimisation results demonstrate that the G.A. outperforms the PSO method and is capable of providing manufacturing cell formation solutions with an efficiency level of 0.86, efficacy level as high as 0.64, achieving a minimum lateness of only 24 minutes from the completion target before midday break and a maximum difference in workload as low as 49 minutes.
Co-Authors Aldhiyatika Amwin Aldrin, Muhammad Cahyono, Andhik Budi Dimas Setyawan Ramadhansyah Dimastyo Muhaimin Arifin Dwi Abdul Rahman Edy Winarko Fauzan Awanda Alviansyah Husein Arif Budiman Imam Djati Widodo Ipin Prasojo Jasmine Erina Firdaus Jatri, Rashid Adani Maulana Khairuddin Omar Khoiri Rochmanila Lolita Vanda Fauzia M Imamul Ikhlas Muhammad Fachri Ramadhan Muhammad Latif Chasani Muhammad Ridwan Andi Purnomo Muhammad Zaki Al Ghifari Nur Aprillia Ningsih Nur Jati Lantang Marfu’ah Raenida, Rissa Raihan Digo Saputra Raisha Amini Dinda Salechah Rania Putri Savira Rizqi Kartika Safitri Sasmito, Dinda Eling Setiani, Novi Shidiq Alhakim Sofyan Wijaya St Musdalifah Teduh Dirgahayu Vebri Satriadi Vedamurti Nuur Anisah Wawan Indarto Widodo, Imam Djati Yudhistira Adinugraha Hutabarat