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PENYELESAIAN MINIMUM SPANNING TREE DENGAN ALGORITMA BERBASIS SOFT COMPUTING DAN APLIKASINYA PADA MASALAH LOGISTIK Kismanti, Shinta Tri; Mukhlash, Imam
Jurnal Borneo Saintek Vol 1, No 1 (2017)
Publisher : LPPM Universitas Borneo Tarakan

Masalah optimasi jaringan adalah pencarian nilai terkecil pada suatu keadaan jaringan. Salah satu masalah optimasi jaringan adalah minimum spanning tree (MST). Masalah MST bertujuan untuk menghubungkan seluruh simpul dalam jaringan sehingga total panjang cabang tersebut dapat diminimumkan. Dalam paper ini, akan ditelaah mengenai penelitian peningkatan solusi paa MST dengan pendekatan soft computing dan aplikasinya pada system logistic. Secara umum solusi penyelesaian MST dapat dilakukan dengan metode eksak dan metode heuristik.

Application of Fuzzy Mamdani Method in the Determination of Total Production Arifah, Enny Durratul; Irawan, Mohammad Isa; Mukhlash, Imam
Majalah Ilmiah Matematika dan Statistika Vol 17 No 2 (2017): Majalah Ilmiah Matematika dan Statistika
Publisher : Jurusan Matematika FMIPA Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/mims.v17i2.23759

There are many ways to determine total of production, one of them is by using fuzzy logic. At the research was used fuzzy inference method Mamdani model. The design of the system to get the output done in several stages namely: [1] the formation of fuzzy sets, [2] the implications of the application function, (3) establish the rules-the rules, [4] defuzzyfication. In this research, defuzzyfication is performed using Composite Moment (centroid) method. With this system expected to be made to assist companies in making decisions to determine the number of production must be producted every month to warehouse inventory remained stable.

Implementation Entropy And Electre II Method For Determining The Priority of Rebuilding a Damaged Bridge of Flood Disaster (Case Study In Trenggalek) Junaidi, Arif; Irawan, Mohammad Isa; Mukhlash, Imam
Majalah Ilmiah Matematika dan Statistika Vol 16 No 2 (2016): Majalah Ilmiah Matematika dan Statistika
Publisher : Jurusan Matematika FMIPA Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/mims.v16i2.23740

ELECTRE II method is widely acknowledged to be used to analyze policies involving qualitative and quantitative criteria. Ranking procedure on the ELECTRE method was preceded by the forming of a directed graph as a representation of outranking relations. One of the weaknesses of ranking procedure based on the level / common procedure is if there were cycles in the graph that formed, the process becomes complicated. In this paper, ranking based on total domination by exploiting the transitive closures matrix formed that is from the representation of outranking relations in adjacency matrix, then compared with the ranking based on the level / general procedure. To determine the coefficient of weight for each criterion by using the entropy method. As an application, both ranking procedure used to determine the priority for rebuilding a damaged bridge of flood disaster in Trenggalek. Comparison of two procedures and the sensitivity analysis are done by changing some of threshold corcondance and discordance.

Algorithm Modified Ant Colony in Steel Production Scheduling Imamah, Nurul; Mukhlash, Imam
Majalah Ilmiah Matematika dan Statistika Vol 17 No 2 (2017): Majalah Ilmiah Matematika dan Statistika
Publisher : Jurusan Matematika FMIPA Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/mims.v17i2.23755

Modified ant Colony algorithm is an extension of ant colony algorithm, it obtained based on observations of ant capabilities to sensing complex environments for search of food. In this paper will be reviewed the implementation modified ant colony alghorithm to the scheduling of steel production using 2 jobs 3 machines and 3 jobs 3 machines in the PT Hanil Jaya Steel using modified ant colony algorithm approach for minimization of makespan time from the whole jobs and at the end of the discussion in this thesis will study the implementation of modified ant colony algorithm in software.

Mining Fuzzy Time Interval Periodic Patterns in Smart Home Data Imam Mukhlash; Desna Yuanda; Mohammad Iqbal
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 5: October 2018
Publisher : Institute of Advanced Engineering and Science

A convergence of technologies in data mining, machine learning, and a persuasive computer has led to an interest in the development of smart environment to help human with functions, such as monitoring and remote health interventions, activity recognition, energy saving. The need for technology development was confirmed again by the aging population and the importance of individual independent in their own homes. Pattern mining on sensor data from smart home is widely applied in research such as using data mining. In this paper, we proposed a periodic pattern mining in smart house data that is integrated between the FP-Growth PrefixSpan algorithm and a fuzzy approach, which is called as fuzzy-time interval periodic patterns mining. Our purpose is to obtain the periodic pattern of activity at various time intervals. The simulation results show that the resident activities can be recognized by analyzing the triggered sensor patterns, and the impacts of minimum support values to the number of fuzzy-time-interval periodic patterns generated. Moreover, fuzzy-time-interval periodic patterns that are generated encourages to find daily or anomalies resident’s habits.

Business Process Improvement of Production Systems Using Coloured Petri Nets Imam Mukhlash; Widya Nilam Rumana; Dieky Adzkiya; Riyanarto Sarno
Bulletin of Electrical Engineering and Informatics Vol 7, No 1: March 2018
Publisher : Institute of Advanced Engineering and Science

The quality of information systems affects the company's business performance. Therefore, it is necessary to analyze business processes to determine any discrepancies between the planned business processes and the actual ones. Based on the results of this analysis, the business process can be improved. The fundamental factor of manufacturing companies is production process. In reality, there are many discrepancies between the actual business processes with the pre-planned, so that there should be analyzed. The analysis can be performed by modeling the business process using Coloured Petri Nets (CPN). In this study, the objectives are to determine the level of conformance checking of business processes, reachability graph and the bottleneck analysis. The results of the analysis are used to construct a recommended model. Based on the analysis of the case study, e.g. a steel industry in Indonesia, the recommended model has a better value than initial model.

Business Process Improvement of Production Systems Using Coloured Petri Nets Imam Mukhlash; Widya Nilam Rumana; Dieky Adzkiya; Riyanarto Sarno
Bulletin of Electrical Engineering and Informatics Vol 7, No 1: March 2018
Publisher : Institute of Advanced Engineering and Science

The quality of information systems affects the company's business performance. Therefore, it is necessary to analyze business processes to determine any discrepancies between the planned business processes and the actual ones. Based on the results of this analysis, the business process can be improved. The fundamental factor of manufacturing companies is production process. In reality, there are many discrepancies between the actual business processes with the pre-planned, so that there should be analyzed. The analysis can be performed by modeling the business process using Coloured Petri Nets (CPN). In this study, the objectives are to determine the level of conformance checking of business processes, reachability graph and the bottleneck analysis. The results of the analysis are used to construct a recommended model. Based on the analysis of the case study, e.g. a steel industry in Indonesia, the recommended model has a better value than initial model.

PENENTUAN POLA JARINGAN PERGERAKAN LOGISTIK YANG OPTIMAL PADA TRANSPORTASI LAUT MENGGUNAKAN MINIMUM SPANNING TREE BERBASIS ALGORITMA GENETIKA Rifdy Fachry; Imam Mukhlash; Soetrisno Soetrisno
Jurnal Sains dan Seni ITS Vol 4, No 2 (2015)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM), ITS

Penentuan pola jaringan pergerakan logistik yang optimal berguna untuk mendukung perencanaan tol laut. Salah satu parameter yang dapat digunakan untuk menentukan pola jaringan pergerakan logistik yang optimal adalah dengan menentukan jalur-jalur yang mempunyai kepadatan dalam pergerakan kontainer. Penentuan pola jaringan pergerakan logistik dapat dilakukan dengan menggunakan Minimum Spanning Tree (MST) berbasis algoritma genetika. Algoritma genetika adalah sebuah algoritma yang dapat digunakan dalam menyelesaikan permasalahan MST. Adapun tahapan dari penentuan pola jaringan pergerakan logistik yang optimal pada Tugas Akhir ini adalah penentuan node, proses crossover, proses mutasi, proses evaluasi, dan proses seleksi. Dalam penentuan node terdapat 52 node yang merepresentasikan pelabuhan. Proses crossover menggunakan crossover rate sebesar 0,2. Proses mutasi menggunakan mutation rate sebesar 0,4. Berdasarkan hasil pengujian sistem ini diperoleh total jalur terpadat dengan jumlah kontainer pada tiga tahun, yaitu 2010, 2011, dan 2012 berturut-turut adalah 1647896 Teu’s, 1825049 Teu’s, dan 2027860 Teu’s dengan inisialisasi populasi 100 dan generasi maksimum 2000.

Analisis Pola Hubungan Antara Konsumsi Listrik dengan Temperatur dan Fitur Geografi Menggunakan Association Rule Mining Haris Prasetyo; Imam Mukhlash; Nurul Hidayat
Jurnal Sains dan Seni ITS Vol 7, No 1 (2018)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM), ITS

erkembangan zaman semakin mempengaruhi pola hidup masyarakat yang mana menyebabkan penggunaan listrik mengalami peningkatan. Sementara itu biaya pengadaan tenaga listrik serta distribusinya juga membutuhkan biaya yang tidak kecil. Maka dari itu diperlukan kajian lebih lanjut tentang pengetahuan profil-profil penggunaan listrik tiap wilayah agar pendistribusiannya efektif. Untuk menggali pengetahuan ini diperlukan teknik data mining. Dalam penelitian ini digunakan algoritma fp-growth yaitu dengan membuat fp tree, conditional pattern base lalu menemukan pattern atau pola yang terbentuk dan diubah menjadi suatu rule. Dari data selama satu tahun (September 2015-Agustus 2016) daerah Sidoarjo, didapat bahwa wilayah yang jauh dengan area perikanan cenderung tinggi dalam penggunaan listriknya. Pemakaian listrik juga tinggi untuk daerah yang dekat dengan pertanian dan jalan besar. Lalu ketika temperatur berkisar 28,5°-29,5° pemakaian listrik tergolong rendah

Implementasi Algoritma Genetika untuk Optimalisasi Random Forest dalam Proses Klasifikasi Penerimaan Tenaga Kerja Baru : Studi Kasus PT.XYZ Laras Binarwati; Imam Mukhlash; Soetrisno Soetrisno
Jurnal Sains dan Seni ITS Vol 6, No 2 (2017)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM), ITS

Kualitas sumber daya manusia sangat penting bagi suatu perusahaan untuk mempertahankan keunggulan kompetitifnya agar mampu bersaing dengan perusahaan lainnya maupun untuk meningkatan kualitas dari perusahaan itu sendiri. Oleh karena itu, menggali pola penerimaan tenaga kerja baru sangat diperlukan. Pada penelitian ini, metode random forest digunakan untuk menggali pola penerimaan tenaga kerja baru. Adapun algoritma genetika (GA) digunakan untuk mengoptimalkan akurasi berdasarkan pola yang didapat. Hasil pengujian program ini menunjukkan keakuratan pola yang dihasilkan oleh random forest yang dioptimalkan dengan algoritma genetika lebih tinggi dengan hasil keakuratan berkisar antara 91%-95% dibanding dengan hanya menggunakan random forest saja yang hanya berkisar 40-95%.

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