Prof. Ir. Sani Susanto, M.T., Ph.D., CRMP., IPU., AER.

NIK	1989378
Jabatan Fungsional	Guru Besar
Pusat Studi	Rantai Pasok
e-mail	ssusanto@unpar.ac.id sjrhsjrh@gmail.com

MATA KULIAH YANG DIBINA

1. Pemodelan Sistem
2. Penelitian Operasional I & II
3. Statistika Deskriptif & Statistika Inferensi
4. Data Mining
5. Statistika Multivariate

PUBLIKASI

 

 

 

 

 

 

 

 

 

Susanto, Sani, Robert D. Kennedy, and John WH Price. “A new fuzzy-c-means and assignment technique-based cell formation algorithm to perform part-type clusters and machine-type clusters separately.” Production Planning and Control 10, no. 4 (1999): 375-388

Disitasi pada:

• ??, ???, ???, and ??. “?????????????????.” ????????? 10, no. 12 (2004): 1561-1566. (https://scholar.google.com/scholar?cites=1015463649196528978&as_sdt=2005&sciodt=0,5&hl=en&num=20 )
• Mingoti, SueliAparecida. Análise de dados através de métodos de estatísticamultivariada: umaabordagemaplicada. Editora UFMG, 2005. (https://scholar.google.com/scholar?cites=1015463649196528978&as_sdt=2005&sciodt=0,5&hl=en&num=20)
• Mingoti, Sueli A., and Joab O. Lima. “Comparing SOM neural network with Fuzzy c-means, K-means and traditional hierarchical clustering algorithms.” European Journal of Operational Research 174, no. 3 (2006): 1742-1759. (ftp://150.164.18.2/pub/sueli/artigos_download/paper_mingoti_joab_sdarticle.pdf )
• Liu, Chen-Hao. “?????????????????.” ????????????????? (2007): 1-165. (http://www.airitilibrary.com/Publication/alDetailedMesh?docid=U0009-0407200719531600)
• Tsou, Chin-Ming. “Using social network analysis to group the machine in FMS.” (2007). (http://pc01.lib.ntust.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0711107-110941 )
• Owsi?ski, J. “Machine-part grouping and cluster analysis: similarities, distances and grouping criteria.” Bulletin of the Polish Academy of Sciences: Technical Sciences 57, no. 3 (2009): 217-228. (http://www.degruyter.com/dg/viewarticle.fullcontentlink:pdfeventlink/$002fj$002fbpasts.2009.57.issue-3$002fv10175-010-0123-2$002fv10175-010-0123-2.pdf?t:ac=j$002fbpasts.2009.57.issue-3$002fv10175-010-0123-2$002fv10175-010-0123-2.xml )
• Papaioannou, Grammatoula, and John M. Wilson. “The evolution of cell formation problem methodologies based on recent studies (1997–2008): Review and directions for future research.” European journal of operational research 206, no. 3 (2010): 509-521. (https://dspace.lboro.ac.uk/dspace-jspui/bitstream/2134/17064/1/EuropeanJournalofOperationalResearch_GP.pdf )
• Behret, Hulya, and SuleItirSatoglu. “Fuzzy Logic Applications in Cellular Manufacturing System Design.” In Computational Intelligence Systems in Industrial Engineering, pp. 505-533. Atlantis Press, 2012. (http://link.springer.com/chapter/10.2991%2F978-94-91216-77-0_24 )
• Rabbani, Masoud, FariborzJolai, NedaManavizadeh, FarzadRadmehr, and BabakJavadi. “Solving a bi-objective cell formation problem with stochastic production quantities by a two-phase fuzzy linear programming approach.” The International Journal of Advanced Manufacturing Technology 58, no. 5-8 (2012): 709-722. (http://www.researchgate.net/profile/Fariborz_Jolai/publication/251378590_Solving_a_bi-objective_cell_formation_problem_with_stochastic_production_quantities_by_a_two-phase_fuzzy_linear_programming_approach/links/02e7e52f8a4ca66ec3000000.pdf )
• Kao, Yucheng, and Chien-Chih Chen. “A differential evolution fuzzy clustering approach to machine cell formation.” The International Journal of Advanced Manufacturing Technology 65, no. 9-12 (2013): 1247-1259.(https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=2&ved=0CCoQFjABahUKEwjglsb-3YTHAhVMHo4KHQ1DBj8&url=http%3A%2F%2Ftchinfo.ttu.edu.tw%2Fdownload%2F2013IJAMT-kao-chen.pdf%3Fauthor%3Dykao%26id%3D17660%26fname%3D2013IJAMT-kao-chen.pdf&ei=pRS7VaCwO8y8uASNhpn4Aw&usg=AFQjCNHaXuRlCc2pQkoU57MivJIqfX3WCg&sig2=40rqnlGRxKzyGdYHZHjgcA&bvm=bv.99261572,d.c2E&cad=rja )
• Erozan, ?hsan, OzdenUstun, and OrhanTorkul. “An Improved Fuzzy C-Means Algorithm for Cell Formation Problems with Alternative Routes.” International Journal of Fuzzy System Applications (IJFSA) 4, no. 4 (2015): 15-30. (http://www.igi-global.com/viewtitlesample.aspx?id=133124&ptid=118941&t=an+improved+fuzzy+c-means+algorithm+for+cell+formation+problems+with+alternative+routes ).
• Javaid, Waqas, Adnan Tariq, and IftikharHussain. “A Comparison of a Standard Genetic Algorithm with a Hybrid Genetic Algorithm Applied to Cell Formation Problem.” Advances in Mechanical Engineering 6 (2014): 301751. (http://ade.sagepub.com/content/6/301751.full )
• Khanna, Kamal, GazalPreetArneja, and Rakesh Kumar. “Group Technology in Design of Manufacturing Systems-A Review.” (http://www.iitg.ernet.in/aimtdr2014/PROCEEDINGS/papers/527.pdf )
• Mehdizadeh, Esmaeil, and Reza Tavakkoli-Moghaddam. “A Fuzzy Particle Swarm Optimization Algorithm for a Cell Formation Problem.” In IFSA/EUSFLAT Conf., pp. 1768-1772. 2009. (http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.156.6364&rep=rep1&type=pdf )
• BEHRET, HÜLYA, and CENG?Z KAHRAMAN. “A Fuzzy Clustering Application in a Cellular Manufacturing System.” In Proceedings of the 8th International FLINS Conference, vol. 21, p. 24. 2008. (http://gen.lib.rus.ec/book/index.php?md5=a4292babd8ca58f215a272e03fe367b4 )
• Li, Jie, Chao-hsien Chu, and Yunfeng Wang. “An in-depth analysis of fuzzy C-means clustering for cellular manufacturing.” In Fuzzy Systems and Knowledge Discovery, 2008. FSKD’08. Fifth International Conference on, vol. 1, pp. 42-46. IEEE, 2008. (http://ieeexplore.ieee.org/xpl/abstractReferences.jsp?arnumber=4665936 )
• Kara, Yakup, TuranPaksoy, and Ching-Ter Chang. “An Integrated Approach for Fuzzy Set Based Part–Machine Cell Formation.” Selcuk Journal of Applied Mathematics 9, no. 1 (2008): 31-47. (http://sjam.selcuk.edu.tr/sjam/article/view/198/125 )
• Pham, D. T., and A. A. Afify. “Clustering techniques and their applications in engineering.” Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science 221, no. 11 (2007): 1445-1459. (https://www.researchgate.net/publication/239406594_Clustering_techniques_and_their_applications_in_engineering )
• Li, J., C-H. Chu, Y. Wang, and W. Yan. “An improved fuzzy clustering method for cellular manufacturing.” International Journal of Production Research 45, no. 5 (2007): 1049-1062. (http://www.tandfonline.com/doi/abs/10.1080/00207540600634923 )
• Al-Ahmari, A. M. A. “A fuzzy analysis approach for part-machine grouping in cellular manufacturing systems.” Integrated Manufacturing Systems 13, no. 7 (2002): 489-497. (http://www.researchgate.net/profile/Abdulrahman_Al-Ahmari2/publication/220170679_Part_feature_selection_and_family_design_in_group_technology_using_a_fuzzy_approach/links/0f317533407c65264a000000.pdf )
• Li, Jie, Chao-Hsien Chu, Yunfeng Wang, and Weili Yan. “An improved fuzzy c-means algorithm for manufacturing cell formation.” In Fuzzy Systems, 2002. FUZZ-IEEE’02. Proceedings of the 2002 IEEE International Conference on, vol. 2, pp. 1505-1510. IEEE, 2002. (https://scholar.google.com/scholar?cites=1015463649196528978&as_sdt=2005&sciodt=0,5&hl=en&num=20 )

Susanto, Sani, Ignatius Suharto, and Paulus Sukapto. “Using fuzzy clustering algorithm for allocation of students.” World Transaction on Engineering and Technology Education 1, no. 2 (2002): 245-248.

Disitasi pada:

• Li, Jianfeng, and Yan Chen. “Application of fuzzy clustering method in classifying steel companies.” In Innovative Computing, Information and Control, 2007. ICICIC’07. Second International Conference on, pp. 613-613. IEEE, 2007. (http://ieeexplore.ieee.org/xpl/abstractReferences.jsp?tp=&arnumber=4428254&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D4428254 )
• Zukhri, Zainudin, and Khairuddin Omar. “Did Students Who Get Different Results were Similar? Information Technological Review of Educational Case in California USA.” Editorial Advisory Board 6, no. 2 (2008): 252 (http://ejournal.narotama.ac.id/files/The%20Expectations%20of%20the%20Social%20Studies%20Teachers%20in%20Botswana.pdf#page=114 )
• Setiyono, Budi, and R. Rizal Isnanto. “PembagianKelasKuliahMahasiswaMenggunakanAlgoritmaPengklasteran Fuzzy C-Means.” In Prosiding Seminar NasionalTeknoin. 2008. (http://jurnal.uii.ac.id/index.php/Teknoin/article/view/2142 )
• Zukhri, Zainudin, and Khairuddin Omar. “Genetic algorithm with center based Chromosomal representation to solve new student allocation problem.” Media Informatika 5, no. 2 (2008): 79-86. (http://ieeexplore.ieee.org/xpl/abstractReferences.jsp?tp=&arnumber=4631575&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D4631575 )
• Hadi, HelmyYulianto, R. Rizal Isnanto, and Budi Setiyono. “PEMBAGIAN KELAS KULIAH MAHASISWA MENGGUNAKAN ALGORITMA PENGKLASTERAN FUZZY.” PhD diss., JurusanTeknikElektroFakultasTeknikUndip, 2011. (http://core.ac.uk/download/pdf/11724470.pdf )
• Hassim, Wan, Wan Haniza, Abdul SamadShibghatullah, and FaaizahShahbodin. “SOLVING NEW STUDENT ALLOCATION PROBLEM (NSAP) WITH ANALYTICAL HIERARCHY PROCESS (AHP).” Science International 26, no. 5 (2014). (http://www.sci-int.com/pdf/20034445271659-1662-PID%20040-Doc1-REVISED.pdf )
• Yadav, Ramjeet Singh, A. K. Soni, and Saurabh Pal. “Implementation of Data Mining Techniques to Classify New Students into Their Classes: A Bayesian Approach.” International Journal of Computer Applications (0975 – 8887), vol 85 (2014): 16-19 (http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=B28DA345BDFD03E2F377F3A508C195E6?doi=10.1.1.428.9913&rep=rep1&type=pdf )
• Li, Jianfeng, Feng Jin, and Xiaoyu Yang. “Fuzzy Clustering Analysis in Real Estate Companies in China.” (http://internationalscienceindex.org/publications/7791/fuzzy-clustering-analysis-in-real-estate-companies-in-china )
• Li, Jianfeng, and Xusheng Cui. “Application of fuzzy clustering in financial analysis of logistic companies.” In Proceedings of the 11th WSEAS International Conference on Applied Mathematics, pp. 168-173. World Scientific and Engineering Academy and Society (WSEAS), 2007 (http://dl.acm.org/citation.cfm?id=1353765 )
• Zukhri, Zainudin, and Khairuddin Omar. “Comparative Evaluation of Genetic Algorithm and Modification of Agglomerative Method for Allocating New Students.” In Seminar NasionalAplikasiTeknologiInformasi (SNATI). 2007. (http://www.researchgate.net/publication/228778444_Comparative_Evaluation_of_Genetic_Algorithm_and_Modification_of_Agglomerative_Method_for_Allocating_New_Students)
• Thangavel, K., QiangShen, and A. Pethalakshmi. “Application of clustering for feature selection based on rough set theory approach.” AIML Journal 6, no. 1 (2006): 19-27. (https://wiki.eecs.yorku.ca/course_archive/2010-11/W/4403/_media/p1120548004.pdf )
• Salah, Imad, AzzamSleit, Saleh Al-Sharaeh, AmmarHuneiti, and NadimObeed. “Efficient Method for Assigning Students to Proper Groups.” Editorial Advisory Board e 21, no. 2 (2005): 249-358. (http://rms.scu.ac.ir/Files/Articles/Journals/Abstract/magaleh.pdf2009111812725509.pdf#page=27 )

Susanto, Sani, PandianVasant, Arijit Bhattacharya, and Fransiscus Rian Pratikto. “Fuzzy LP with a non-linear MF for product-mix solution: A case-based re-modelling and solution.” In 9th Joint International Conference on Information Sciences (JCIS-06). Atlantis Press, 2006.

Disitasi pada:

• Pribadi, FeddySetio. “PENGKLASIFIKASIAN SISWA BERDASARKAN PRESTASI BELAJAR DENGAN MENGGUNAKAN LOGIKA FUZZY CLUSTERING.” LembaranIlmuKependidikan 38, no. 2 (2009). (http://journal.unnes.ac.id/nju/index.php/LIK/article/view/482/439)
• A Survey of Fuzzy Clustering Algorithms, MasoudYaghini; Maryam Ranjpour; FaridYousefi (http://www.mbaforum.ir/download/mba/DataMining/3th/1494.pdf )

Susanto, S., Ernawati, 2007, Pembagian Kelas Peserta Kuliah Berdasarkan Fuzzy Clustering dan Partition Coefficient and Exponential Separation (PCAES) Index, Jurnal Teknologi Industri, Universitas Atmajaya, Yogyakarta

Disitasi pada:

Mardiani, Mardiani. “Perbandingan Algoritma K-Means dan EM untuk Clusterisasi Nilai Mahasiswa Berdasarkan Asal Sekolah.” Creative Information Technology Journal 1, no. 4 (2014): 316-325. (http://citec.amikom.ac.id/main/index.php/citec/article/view/31/31, http://eprints.mdp.ac.id/1201/1/Jurnal%20Citec%20volume%201%20nomor%204%20agustus%202014%20Mardiani.pdf )

Suharto, Ign, Sani Susanto, Neneng Tintin Rosmiyanti, and Arijit Bhattacharya. “Fuzzy multi-objective linear programming having probabilistic constraints: Application in product-mix decision-making.” In Fuzzy Systems and Knowledge Discovery, 2008. FSKD’08. Fifth International Conference on, vol. 4, pp. 652-656. IEEE, 2008.

Disitasi pada:

• Badri, S., Mehdi Ghazanfari, and Ahmad Makui. “An integrated model for product mix problem and scheduling considering overlapped operations.” Decision Science Letters 3, no. 4 (2014): 523-534. (http://growingscience.com/dsl/Vol3/dsl_2014_22.pdf )
• Marín, Jaime Antero Arango. “Determinación de la mezclaóptima de productosparaunatejeduríatextil.” ScientiaetTechnica 2, no. 42 (2009). (http://200.21.217.140/index.php/revistaciencia/article/download/2625/1429 )

Susanto, Sani, David Al-Dabass, and Arijit Bhattacharya. “Optimised cell formation algorithm considering sequence of operations, alternative routing and part-volume.” In Modelling& Simulation, 2009. AMS’09. Third Asia International Conference on, pp. 79-84. IEEE, 2009

Disitasi pada:

• Kumar, Shailendra, and Rajiv Kumar Sharma. “Development of a cell formation heuristic by considering realistic data using principal component analysis and Taguchi’s method.” Journal of Industrial Engineering International 11, no. 1 (2015): 87-100. (http://link.springer.com/article/10.1007%2Fs40092-014-0093-3#page-2 )
• Kumar, Shailendra, and Rajiv Kumar Sharma. “Cell formation heuristic procedure considering production data.” International Journal of Production Management and Engineering 2, no. 2 (2014): 75-84 (https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=2&ved=0CCsQFjABahUKEwi9roOJt4DHAhXMCo4KHWnaCmc&url=https%3A%2F%2Fpolipapers.upv.es%2Findex.php%2FIJPME%2Farticle%2Fdownload%2F2078%2F3272&ei=-NK4Vb1SzJW4BOm0q7gG&usg=AFQjCNGZ2vu7InxobC4U3zbllABgMga39A&sig2=Fw6XGlUmddbhMNs2tyG1bQ&bvm=bv.98717601,d.c2E&cad=rja, http://polipapers.upv.es/index.php/IJPME/article/view/2078 )
• SÖNMEZ, Mümin, and Gürkan ÖZTÜRK. “A NEW HYBRID APPROACH TO SOLVE CELL FORMATION PROBLEM WITH ALTERNATIVE ROUTINGS.” ANADOLU UNIVERSITY JOURNAL OF SCIENCE AND TECHNOLOGY–A Applied Sciences and Engineering 14, no. 2 (2013): 105-118 ( (http://dergipark.ulakbim.gov.tr/aubtda/article/view/1066000278/1066000142 )
• NEW, A. “A MAKA.” (http://btda.dergi.anadolu.edu.tr/yonetim/icerik/makaleler/70-published.pdf )
• Sönmez, Mümin, and GürkanÖztürk. “AlternatifRotal?HücreOlu?turmaProblemlerininÇözümü?çinYeniBirMelezYakla??m.” (2013). (https://earsiv.anadolu.edu.tr/xmlui/bitstream/handle/11421/80/278-883-1-PB.pdf?sequence=3&isAllowed=y )

Susanto, Sani, and Arijit Bhattacharya. “Compromise fuzzy multi-objective linear programming (CFMOLP) heuristic for product-mix determination.” Computers & Industrial Engineering 61, no. 3 (2011): 582-590.

Disitasi pada:

• Amid, Amin, SaeedZolfaghari, and Maryam Siyahpoush. “A Fuzzy Multi-objective Model with MFCA Approach for Selecting Products Variety in a Textile Supply Chain.” Toward Sustainable Operations of Supply Chain and Logistics Systems (2015): 475http://www.researchgate.net/profile/Alfred_Guiffrida/publication/262191739_Interior_analysis_of_the_green_product_mix_solution/links/0deec53cd486b78dad000000.pdf
• Júnior, AbraãoFreiresSaraiva, and Reinaldo Pacheco da Costa Reinaldo Pacheco da Costa. “Bibliometric Analysis of the International Publication on Product-Mix Decision (1970–2014). http://www.redes.unb.br/lasp/files/events/CONTECSI2015/fscommand/web/docs/34850.pdf
• Amid, Amin, SaeedZolfaghari, and Maryam Siyahpoush. “A Fuzzy Multi-objective Model with MFCA Approach for Selecting Products Variety in a Textile Supply Chain.” Toward Sustainable Operations of Supply Chain and Logistics Systems (2015): 475https://scholar.google.com/scholar?cites=14275816918051500774&as_sdt=2005&sciodt=0,5&hl=en&num=20
• Shahraki, Zahra, Mehdi Allahdadi, and Hassan MishmastNehi. “Fuzzy multi objective linear programming problem with imprecise aspiration level and parameters.” An International Journal of Optimization and Control: Theories & Applications (IJOCTA) 5, no. 2 (2015): 81-86.http://ijocta.balikesir.edu.tr/index.php/files/article/download/210/120
• Wellington, John F., Alfred L. Guiffrida, and Stephen A. Lewis. “Interior analysis of the green product mix solution.” European Journal of Operational Research 237, no. 3 (2014): 966-974.http://www.researchgate.net/profile/Alfred_Guiffrida/publication/262191739_Interior_analysis_of_the_green_product_mix_solution/links/0deec53cd486b78dad000000.pdf
• Hassanzadeh, R., and I. Mahdavi. “Solving a tri-objective convergent product network using the Steiner tree.” International Journal of Applied 4, no. 2 (2014): 53-82.http://ijorlu.liau.ac.ir/files/site1/user_files_b406fb/admin-A-10-1-97-26bbb4d.pdf
• Badri, S., Mehdi Ghazanfari, and Ahmad Makui. “An integrated model for product mix problem and scheduling considering overlapped operations.” Decision Science Letters 3, no. 4 (2014): 523-534.http://growingscience.com/dsl/Vol3/dsl_2014_22.pdf
• Su, Tai-Sheng. “Optimal vehicle-dispatch decisions for cement silos using a fuzzy multi-objective approach.” International Journal of Production Research 52, no. 4 (2014): 947-966https://scholar.google.com/scholar?cites=14275816918051500774&as_sdt=2005&sciodt=0,5&hl=en&num=20
• Hassanzadeh, Reza, IrajMahdavi, and NezamMahdavi-Amiri. “A web-based methodology for convergent product fuzzy networks using the Steiner tree.” Journal of Industrial and Production Engineering 30, no. 7 (2013): 415-432.https://scholar.google.com/scholar?cites=14275816918051500774&as_sdt=2005&sciodt=0,5&hl=en&num=20