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Algoritma Differential Evolution Untuk Penjadwalan Flow Shop Banyak Mesin Dengan Multi Obyektif Eko Wiratno, Stefanus; Rudi, Nurdiansyah; Santosa, Budi
Jurnal Teknik Industri Vol 13, No 1 (2012): Februari
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

This research focuses on the development of Differential Evolution(DE) algorithmto solve m-machine flow shopscheduling problems with respect to both makespan and total flow time. Development of DE algorithm is done by modifyingthe adaptive parameter determination procedure in order to change the value of adaptive parameters in each generation,adding local search strategy to the algorithm in order to improve the quality of the resulting solutions, as ewell as modifyingthe crossover in order to reduce computation time. The result indicates that the proposed DE algorithm has proven to bebetter than the original DE algorithm, Genetic Algorithm (GA), and for certain cases it also out performs Multi-ObjectiveAnt Colony System Algorithm (MOCSA).

Forecasting Sales of Hex Nut Using Trend Linier Line (TLL) Methode and Monte Carlo Simulation in PT. KMS East Java Apriliana Sari W., Indah; Isma P., Boy; Nurdiansyah, Rudi
Tibuana Vol 5 No 01 (2022): Tibuana
Publisher : UNIPA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/tibuana.5.01.4542.8-12

This study presenting the result of forecasting sales of Hex Nuts between the Trend Linear Line (TLL) method and Monte Carlo Simulation. To determine the appropriate method, the Mean Average Percentage Error (MAPE) is used to evaluate theerror rate. We find that the Monte Carlo simulation outperforms the TTL method, where the MAPE value of the Monte Carlo simulation is 7,61%. Based on the result, the Monte Carlo simulation is the appropriate method to forecast the sales rate of Hex Nuts in the PT. KMS.

Algoritma Differential Evolution Untuk Penjadwalan Flow Shop Banyak Mesin Dengan Multi Obyektif Stefanus Eko Wiratno; Nurdiansyah Rudi; Budi Santosa
Jurnal Teknik Industri Vol. 13 No. 1 (2012): Februari
Publisher : Department Industrial Engineering, University of Muhammadiyah Malang

This research focuses on the development of Differential Evolution(DE) algorithmto solve m-machine flow shopscheduling problems with respect to both makespan and total flow time. Development of DE algorithm is done by modifyingthe adaptive parameter determination procedure in order to change the value of adaptive parameters in each generation,adding local search strategy to the algorithm in order to improve the quality of the resulting solutions, as ewell as modifyingthe crossover in order to reduce computation time. The result indicates that the proposed DE algorithm has proven to bebetter than the original DE algorithm, Genetic Algorithm (GA), and for certain cases it also out performs Multi-ObjectiveAnt Colony System Algorithm (MOCSA).

Optimasi Penjadwalan Flow Shop Menggunakan Algoritma Hybrid Differential Evolution Rudi Nurdiansyah
R.E.M. (Rekayasa Energi Manufaktur) Jurnal Vol 1 No 2 (2016): December
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/r.e.m.v1i2.404

Penjadwalan produksi merupakan bagian integral di dalam sistem manufaktur. Artikel ini menyelesaikan permasalahan penjadwalan flow shop dengan fungsi obyektif total flow time. Dalam penjadwalan, total flow time menghasilkan konsumsi yang stabil terhadap sumber daya, perputaran job yang cepat serta meminimalkan work in process inventory. Permasalahan penjadwalan flow shop tergolong pada permasalahan optimasi kombinatorial yang merupakan NP-hard. Saat ini, penggunaan algoritma metaheuristik banyak digunakan untuk memecahkan kasus optimasi kombinatorial, termasuk penjadwalan flow shop. Salah satu yang memiliki performa yang baik adalah Algoritma Differential Evolution. Untuk meningkatkan kualitas solusinya, Algoritma Differential Evolution akan ditambahkan dengan prosedur local search yang dinamakan Hybrid Differential Evolution. Untuk mengetahui performa dari algoritma tersebut, dilakukan pengujian menggunakan data penjadwalan flow shop yang ada pada OR-Library. Performa Hybrid Differential Evolution akan dibandingkan dengan algoritma lain. Hasil pengujian menunjukkan bahwa Hybrid Differential Evolution memberikan performa yang lebih baik dibandingkan dengan algoritma lain.

Forecasting Sales of Hex Nut Using Trend Linier Line (TLL) Methode and Monte Carlo Simulation in PT. KMS East Java Indah Apriliana Sari W.; Boy Isma P.; Rudi Nurdiansyah
Tibuana Vol 5 No 01 (2022): Tibuana
Publisher : UNIPA PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36456/tibuana.5.01.4542.8-12

This study presenting the result of forecasting sales of Hex Nuts between the Trend Linear Line (TLL) method and Monte Carlo Simulation. To determine the appropriate method, the Mean Average Percentage Error (MAPE) is used to evaluate theerror rate. We find that the Monte Carlo simulation outperforms the TTL method, where the MAPE value of the Monte Carlo simulation is 7,61%. Based on the result, the Monte Carlo simulation is the appropriate method to forecast the sales rate of Hex Nuts in the PT. KMS.

Peningkatan Penguasaan Konsep dan Struktur Ilmu Guru Teknik Otomotif Melalui Diseminasi Teknologi Controlled Area Network Bus (CAN Bus) di SMKN Palang Fuad Indra Kusuma; Mindarta, Erwin Komara; Rudi Nurdiansyah; Muhammad Mukhsin J.; Sandi Surya Wijaya
IRA Jurnal Pengabdian Kepada Masyarakat (IRAJPKM) Vol 1 No 3 (2023): Desember
Publisher : CV. IRA PUBLISHING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56862/irajpkm.v1i3.80

The quality of vocational school teachers is seen as needing to be improved. This is shown by the high number of vocational school teachers who do not yet have teaching or skill competency certificates. Educator certification indicates that the teacher has been declared to have met the requirements and passed the competency test to become a professional teacher. On the other hand, a skills competency certificate indicates vocational school teachers who are experts in their skills competency in terms of concept and knowledge structure. The problem is that not all teachers have the opportunity to take part in programs/training organized by the government or private sector to improve their mastery of scientific concepts and structures. The community service implementation team from the UM Automotive Engineering Education Undergraduate study program provides training specifically for automotive engineering teachers at vocational schools to transfer the latest knowledge related to automotive advanced, namely CAN Bus, to increase teachers' mastery of concepts and structures. Training methods include site surveys, formulating training materials, making schedules, preparing tools and materials, and training instructors up to evaluation. The CAN Bus training was held offline in accordance with health protocols, and the result was an increase in teachers' mastery of concepts and knowledge structures as evidenced by the mean posttest score (70.29) > mean pretest score (62.11), and the difference was real Sig. (2-tailed) of 0.000 at 0.05. Apart from that, from the resource person's explanation, the teacher knows how to teach CAN Bus to students.

The Effect of the Number of Hidden Layers on The Performance of Deep Q-Network for Traveling Salesman Problem Hanif, Benzfica; Larasati, Aisyah; Nurdiansyah, Rudi; Le, Trung
Knowledge Engineering and Data Science Vol 6, No 2 (2023)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um018v6i22023p188-198

The Traveling Salesman Problem (TSP) effectively represents the complex distribution issues encountered by couriers, who must carefully plan a route that includes all customer addresses while minimizing the distance traveled. As the magnitude of deliveries and the range of destinations expand, the courier's responsibility becomes progressively challenging. In this particular context, the objective of our research is to expand the existing knowledge and explore the complete capabilities of Deep Q-Network (DQN) models in order to achieve the most efficient route determination. This endeavor can potentially bring about significant changes in the courier and delivery service sector. The foundation of our unique methodology relies on an empirical inquiry, utilizing a comprehensive dataset including 178 observations obtained from motorcycle-based package delivery agents. Our research is carefully planned and executed using a comprehensive factorial experimental design. This design incorporates three crucial factors: the number of hidden layers, episodes, and epochs. The hidden layer parameter is set to a singular level, while the episode parameter is configured to explore five levels, and the epoch parameter is designed to travel four levels. The evaluation of our DQN models' performance is conducted utilizing the MSE metric as a measure. This assessment is carried out at every iterative cycle, ensuring thorough scrutiny. The central focus of our research centers on the intricate connection between episodes and epochs, and their influence on MSE. The findings of our study reveal that the association between episodes, epochs, and errors is not statistically significant although different level of episodes and epochs produces slightly different level of error.

INOVASI PEMADAM API DARI KULIT SINGKONG UNTUK MENUNJANG KEAMANAN PROSES PRODUKSI DI UMKM LUMPIA JENG NENNY Widayat, Vereline Abigael; Permana, Yafi Elian; Kareem, Nafi; Nurdiansyah, Rudi; Mubarok, Zamruda Sariangi Sauqi; Karika, Sri; Azzahra, Prestika Dilla
Jurnal Graha Pengabdian Vol 6, No 4 (2024): DESEMBER
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um078v6i42024p%p

This community service program aims to improve the safety of the production process at the Lumpia Jeng Nenny micro/small/medium enterprises (MSMEs) located in Dusun Krajan, Sukorejo, Pasuruan, by developing a light fire extinguisher made from cassava skin (SIPAR: Singkong APAR). The methods used include location surveys, collecting data on partner needs, developing SIPAR products through preparation of materials and production processes, socialization and training of product use to partners. The development results show that SIPAR is not only able to extinguish fires in seconds, but is also environmentally friendly and of course safe for beginners. By implementing SIPAR, the "Lumpia Jeng Nenny" business has significantly increased safety during the production process without incurring costs. However, the effectiveness of SIPAR needs to be further evaluated in large-scale fires. Therefore, further development needs to be carried out to improve the effectiveness and stability of SIPAR products. This community service is expected to be an inspiring example and provide safety solutions for Micro, Small and Medium Enterprises and encourage the creation of natural material innovations.

PERENCANAAN DAN PENGENDALIAN PERSEDIAAN MATERIAL MENGGUNAKAN SIMULASI MONTE CARLO DAN EOQ PROBABILISTIK: STUDI KASUS: PT PLN UP3 KEDIRI Yudistira, Febrina Dzuldah; Larasati, Aisyah; Nurdiansyah, Rudi
Industri Inovatif : Jurnal Teknik Industri Vol 14 No 1 (2024): Inovatif Vol. 14 No. 1
Publisher : Prodi Teknik Industri S1 Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/industri.v14i1.9035

Pada data historis permintaan menunjukkan adanya stockout pada material utama dalam pelayanan pelanggan. Penelitian ini bertujuan untuk menentukan permintaan material per hari pada bulan Januari–Desember 2023 dengan Simulasi Monte Carlo, menentukan kuantitas pemesanan yang ekonomis, reorder point dan safety stock menggunakan metode EOQ probabilistik dan membandingkan total biaya persediaan material hasil penelitian dengan kondisi saat ini. Analisis dilakukan dengan dua metode yang mengkombinasikan metode Simulasi Monte Carlo untuk memprediksi jumlah permintaan pelanggan listrik 3 fasa harian di masa yang akan datang dan EOQ Probabilistik untuk menentukan kuantitas pemesanan yang ekonomis, titik pemesanan kembali dan persediaan pengaman. Berdasarkan hasil penelitian dengan metode Simulasi Monte Carlo pada material kWh METER 5-80 A, MCB 16 A, MCB 25 A, CABLE POWER NFA2X-T 3X70+1X70 berturut-turut diperoleh 1076 unit, 321 unit, 340 unit, 99.020 meter. Pada analisis EOQ Probabilistik diketahui kuantitas pemesanan yang ekonomis pada kWh METER 5-80 A, MCB 16 A, MCB 25 A, CABLE POWER NFA2X-T 3X70+1X70 berturut-turut sejumlah 72 unit, 47 unit, 48 unit 4000 meter. Selanjutnya, pada persediaan pengaman material kWh METER 5-80 A, MCB 16 A, MCB 25 A, CABLE POWER NFA2X-T 3X70+1X70 berturut-turut sejumlah 12 unit, 5 unit, 7 unit dan 1518 meter. Serta titik pemesanan kembali material kWh METER 5-80 A, MCB 16 A, MCB 25 A, CABLE POWER NFA2X-T 3X70+1X70 berturut-turut sejumlah 73 unit, 54 unit, 53 unit. Pada material kWh METER 5-80 A, MCB 16A, MCB 25A,CABLE POWER NFA2X-T 3X70+1X70 penurunan biaya persediaan berturut-turut sebesar Rp9.400.394, Rp117.629, Rp87.462, Rp2.575.183.

Sosialisasi Program Sekolah Siaga Bencana guna Meningkatkan Kemampuan Kesiapsiagaan terhadap Bencana Nurdiansyah, Rudi; Komara Mindarta, Erwin; Larasati, Aisyah; Eridani Budi Darmawan, Vertic; Widowati, Tamara Rahma; Haque, Salma Ayu; Azzahra, Prestika Dilla
Jurnal Pengabdian Masyarakat dan aplikasi Teknologi Vol. 4, No. 1: March 2025
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31284/j.adipati.2025.v4i1.6863

Kabupaten Tuban memiliki tingkat risiko bencana yang tinggi, terutama bencana hidrometeorologi yang dipengaruhi oleh Sungai Bengawan Solo. Jenis bencana yang sering terjadi di antaranya banjir, kekeringan, cuaca ekstrem, dan tanah longsor. Untuk mengurangi dampak bencana, Pemerintah Kabupaten Tuban telah mendorong berbagai upaya mitigasi, termasuk sosialisasi kesiapsiagaan di lingkungan sekolah melalui Program Sekolah Siaga Bencana. Kegiatan sosialisasi di SMKN Palang Tuban bertujuan untuk meningkatkan kesadaran dan kesiapsiagaan siswa, guru, serta staf sekolah dalam menghadapi bencana. Metode yang digunakan dalam kegiatan ini meliputi ceramah, diskusi interaktif, serta pemutaran video simulasi. Hasil kegiatan menunjukkan bahwa mayoritas peserta belum memiliki pemahaman yang memadai tentang mitigasi bencana sebelumnya, sehingga sosialisasi ini menjadi langkah penting dalam mengisi kesenjangan pengetahuan dan keterampilan. Program ini menjadikan seluruh elemen sekolah dapat lebih siap menghadapi situasi darurat, memahami langkah-langkah evakuasi, serta memiliki keterampilan tanggap bencana yang baik. Keberlanjutan sosialisasi dan pelatihan serupa sangat diperlukan untuk menjadikan lingkungan sekolah lebih aman dan tangguh terhadap ancaman bencana.

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