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All Journal Jurnal Informatika Seminar Nasional Aplikasi Teknologi Informasi (SNATI) J@TI (TEKNIK INDUSTRI) Jurnal Manajemen Teknologi Jurnal Rekayasa Sistem Industri Trikonomika: Jurnal Ekonomi Jurnal technoscientia Journal of Engineering and Technological Sciences Journal of ICT Research and Applications Jurnal Ilmiah Teknik Industri JRSI (Jurnal Rekayasa Sistem dan Industri) Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri KOMPUTA : Jurnal Ilmiah Komputer dan Informatika JURNAL TEKNOLOGI TECHNOSCIENTIA Journal of Research in Industrial Engineering and Management
Rajesri Govindaraju
Department Of Industrial Engineering, Faculty Of Industrial Technology, Bandung Institute Of Technology, Bandung
Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Other

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Pengambilan Keputusan Pemilihan Pemasok di Perusahaan Manufaktur dengan Metode Fuzzy ANP Govindaraju, Rajesri; Sinulingga, Jonathan Pratama
Jurnal Manajemen Teknologi Vol 16, No 1 (2017)
Publisher : SBM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12695/jmt.2017.16.1.1

Abstract

Abstrak. Persoalan pemilihan pemasok merupakan masalah penting dalam perusahaan karena hal ini akan sangat menentukan kemampuan perusahaan untuk menjamin ketersediaan bahan baku produksinya. Penelitian ini bertujuan untuk mengkaji penggunaan model pengambilan keputusan fuzzy-ANP (fuzzy analytic network process) dalam kasus pemilihan pemasok di sebuah perusahaan manufaktur. Metode gabungan fuzzy dan ANP digunakan karena selain perlu mempertimbangkan ketergantungan antar kriteria, juga ingin diminimalisasi ketidakpastian dan ketidaktepatan pada penilaian tingkat kepentingan tiap kriteria. Kerangka berpikir dari penelitian ini terdiri dari empat tahapan besar yaitu proses pembentukan kriteria dan subkriteria pemilihan pemasok, proses penentuan ketergantungan antar kriteria, proses pembobotan kriteria/subkriteria, serta proses penilaian pemasok. Proses pembobotan kriteria dihasilkan dari dua data yaitu data bobot kriteria tanpa dependency dan kriteria bobot dengan dependency. Proses pembentukan kriteria/subkriteria dan penilaian untuk menghasilkan bobot diperoleh dari pihak expert yang berada pada perusahaan tempat studi kasus penelitian dilakukan. Proses penilaian pemasok dilakukan dengan memberikan penilaian menggunakan 5 (lima) skala untuk masing-masing pemasok yang kemudian hasilnya akan diperbandingkan. Hasil dari metode ini adalah urutan ranking pemasok pada suatu proses pengadaan. Dari penelitian ini dapat diketahui bahwa metode fuzzy ANP terbukti tepat digunakan dalam konteks pengadaan bahan baku pada kasus yang dibahas karena kriteria/subkriteria yang digunakan memiliki ketergantungan satu sama lain, serta mampu meminimalisasi ketidakpastian atau ketidaktepatan dalam melakukan penilaian. Dengan menggunakan metode ini, diperoleh kriteria yang memiliki bobot paling tinggi yaitu kriteria kualitas SDM yang mempengaruhi sebanyak 6 kriteria lainnya, diikuti dengan kriteria kualitas barang, reputasi pemasok, harga, dan metode pengiriman. Kata kunci: Fuzzy-ANP, model keputusan, multi criteria decision making (MCDM), pengadaan, pemilihan pemasok.Abstract. The issue of supplier selection is an important issue in the company because it will determine the company's ability to ensure the availability of raw materials in production. This study aims to establish a decision-making model for supplier selection which considers many criteria in which there is dependence between criteria. The method used is fuzzy-analytic network process (fuzzy-ANP). The combined fuzzy and ANP methods is used not only to consider dependencies between criteria, but also to minimize uncertainty and inaccuracy in the assessment of importance of each criterion. Four major stages used in the decision model, namely the establishment of supplier selection criteria and sub-criteria, the process of determining dependencies among the criteria, the weighting of the criteria/sub-criteria, and the last one is supplier assessment process. The process of weighting the criteria results in two data, criteria weights without dependency and criteria weights with dependency. The process of formation of criteria/sub-criteria and the ratings to generate weights were obtained from the experts from the company where case study was done. Supplier rsting process is done through assessment process using the 5 (five) scale rating. The results of rating for each supplier will then be compared. The results of this method is the ranking of suppliers in a certain procurement process. From this research it is known that the method used, fuzzy ANP, is proved to be appropriate considering that there are dependencies among the criteria/ sub-criteria used and the method is useful to minimize uncertainty or inaccuracy in the assessment process. By employing this method, criteria with the highest weight was obtained, that is quality of human resources which affect as much as 6 other criteria, followed by quality of product, supplier’s reputation, price, and delivery method.Keywords: Fuzzy-ANP, decision model, multi criteria decision making (MCDM), procurement, supplier selection
Development of Kansei Engineering-Based Method for Service Improvement in Hotel Operations Ni Luh Saddhwi Saraswati Adnyani; Rajesri Govindaraju
Jurnal Rekayasa Sistem Industri Vol. 9 No. 3 (2020): Jurnal Rekayasa Sistem Industri Vol. 9 No. 3
Publisher : Universitas Katolik Parahyangan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1162.45 KB) | DOI: 10.26593/jrsi.v9i3.4065.177-188

Abstract

The purpose of this study is to develop or improve the Kansei engineering-based method for designing service improvement used in previous studies. Kansei engineering can be integrated with other relevant methods or techniques so that a better method can be produced. This study proposes the development of Kansei engineering-based method that is suitable for designing service improvements in hotel operations by integrating Kansei engineering, text mining, service blueprint, SERVQUAL, Kano model, and QFD. Text mining is used to collect Kansei words by utilizing online customer reviews. Service blueprint is used to determine the service attributes, and SERVQUAL to evaluate current service quality. Kano model is used to classify service attributes into Kano categories. QFD is used to determine customer needs and translate these customer needs into technical characteristics and specifications. The method developed in this study was applied in hotel services in Bali. The results of determining service improvement priorities obtained in this study indicate that service improvements should be focused on the hotel technical requirements which consist of hotel cleanliness standards, availability of housekeeping equipment, professional hotel interior and exterior designers, personnel management, general affair management, employee education and training, and customer relationship management. This method has been successfully applied in the hotel sector. In addition to the hotel sector, this method can also be applied in other service sectors.
ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PROSES MIGRASI DARI MEDICAL RECORD MENUJU ELECTRONIC MEDICAL RECORD DI RUMAH SAKIT Oktri Mohammad Firdaus; Kadarsah Suryadi; T.M.A. Ari Samadhi; Rajesri Govindaraju
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2011
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini menjelaskan tentang proses migrasi dari medical record yang berbasis kertas menuju electronicmedical record. Penerapan electronic medical record di negara-negara maju seperti Kanada, Amerika Serikatdan Singapore sudah dapat dikatakan cukup efektif membantu memperbaiki kualitas pelayanan yang diberikanoleh dokter secara pribadi maupun pelayanan rumah sakit secara umum. Selain itu juga penerapan electronicmedical record di negara maju dapat meningkatkan trust baik dari pasien maupun keluarga pasien, sehinggaangka kunjungan rumah sakit di negara tersebut relatif cukup stabil dan menunjukkan peningkatan dari tahunke tahun. Electronic medica record bukan berarti belum diterapkan sama sekali di Indonesia, ada beberaparumah sakit yang sudah mulai menerapkan electronic medical record secara parsial dan masih sangat sedikitrumah sakit yang menerapkan electronic medical record secara komprehensif. Hal tersebut yangmelatarbelakangi penelitian ini dilakukan. Tujuan dari penelitian ini berusaha untuk mengidentifikasi danmenganalisis faktor-faktor yang mempengaruhi proses migrasi dari medical record tradisional menujuelectronic medical record khusus untuk kasus di Indonesia. Metodologi yang digunakan yaitu denganmembandingkan beberapa literatur maupun jurnal yang sebelumnya sudah membahas masalah ini dengan hasilobservasi dan wawancara langsung di beberapa rumah sakit di Indonesia. Hasil akhir dari penelitian ini adalahditemukannya 2 (faktor) tambahan selain dari 8 (delapan) faktor yang telah diungkapkan oleh Boonstra danBroekhuis (2010), yaitu faktor peran pemerintah dan feodalisme dalam proses migrasi dari paper based medicalrecord menuju electronic medical record khususnya untuk kasus di beberapa rumah sakit di Bandung danJakarta.
The Development of Post-implementation Erp Model: It-business Partnership, Erp Maintenance and Support Wawan Tripiawan; Rajesri Govindaraju
JRSI (Jurnal Rekayasa Sistem dan Industri) Vol 4 No 02 (2017): Jurnal Rekayasa Sistem & Industri - Desember 2017
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v4i02.226

Abstract

Kesuksesan penggunaan sistem Enterpraise Resource Planning (ERP) telah banyak diteliti. Akan tetapi, belum banyak penelitian yang meneliti lebih lanjut keterkaitan antara IT-Business Partnership, Maintenance and Support dalam mendukung realisasi manfaat dari penggunaan sistem ERP. Penelitian ini dikembangkan untuk mengetahui pengaruh dari faktor-faktor yang termasuk dalam IT-Business Partnership, terhadap kegiatan dalam Maintenance and Support, pada fase post-project ERP. [1] membagi kegiatan Maintenance and Support menjadi tiga; ERP user support, ERP changes, dan ERP software update. IT Business Partnership digambarkan sebagai hubungan antara IT dengan bisnis, yang tergambarkan dalam 4 relasi, yaitu; Management’s-IT Ownership, User’s-IT Ownership, IT Professional’s-Business Ownership dan juga IT Manager’s-Business ownership. Berdasarkan dari 116 sampel responden perusahaan yang diolah, faktor-faktor yang mempengaruhi tingkat manfaat/keuntungan dari penggunaan sistem ERP yaitu IT Manager’s – Business Ownership, IT Proffesional’s – Business Ownership, Management’s – IT Ownership, User’s – IT Ownership, mempengaruhi tingkat ERP Enable Business Change (Maintenance and Support) baik secara langsung ataupun tidak langsung.
The Application of a Decision-making Approach based on Fuzzy ANP and TOPSIS for Selecting a Strategic Supplier Rajesri Govindaraju; Muhammad I. Akbar; Leksananto Gondodiwiryo; Tota Simatupang
Journal of Engineering and Technological Sciences Vol. 47 No. 4 (2015)
Publisher : Institute for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.eng.technol.sci.2015.47.4.5

Abstract

Supplier selection becomes very important when used in the context of strategic partnerships because of the long-term orientation of the relationship. This paper describes the application of a decision-making approach for selecting a strategic partner (supplier). The approach starts with defining a set of criteria that fits the company's condition. In the next steps, a combination of fuzzy-ANP and TOPSIS methods is used to determine the weight for each criterion and rank all the alternatives. The application of the approach in an Indonesian manufacturing company showed that the three factors that got the highest weight were "geographical location", "current operating performance", and "reliability". Geographical location got the highest weight because it affects many other factors such as reaction to changes in demand, after-sales service, and delivery lead-time.  Application of the approach helps decision-makers to gain effectiveness and efficiency in the decision-making process because it facilitates them to express their group's collective preferences  while also providing opportunities for members to express their individual preferences. Future research can be directed at combining qualitative and quantitative criteria to develop the best criteria and methods for the selection of the best suppliers based on fuzzy ANP and TOPSIS.
Healthcare Data Mining: Predicting Hospital Length of Stay of Dengue Patients Iwan Inrawan Wiratmadja; Siti Yaumi Salamah; Rajesri Govindaraju
Journal of Engineering and Technological Sciences Vol. 50 No. 1 (2018)
Publisher : Institute for Research and Community Services, Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.eng.technol.sci.2018.50.1.8

Abstract

Dengue is regarded as the most important mosquito-borne viral disease. Recently dengue has emerged as a public health burden in Southeast Asia and other tropical countries. At times when dengue re-emerges as an epidemic, hospitals are required to be able to handle patient flow fluctuation while maintaining their performance. This research applied a data mining technique to build a model that can predict in-patient hospital length of stay from the time of admission, which can be useful for effective decision-making that may lead to better clinical and resource management in hospitals. Using the C4.5 algorithm and a decision tree classifier, an accuracy of 71.57% and an area under the receiver operating characteristic (ROC) curve value of 0.761 were obtained. The decision tree showed that only 7 out of 21 input attributes affect the hospital length of stay prediction of dengue patients. The attribute with the highest impact was monocytes, followed by diastolic blood pressure, hematocrit, leucocytes, systolic blood pressure, comorbidity score, and lymphocytes. In this research also a prototype of a prediction system using the resulting model was developed.
Development of Web-Enabled Online Learning Effectiveness Model Based on Online Video Tutorial Bramantiyo Eko Putro; Rajesri Govindaraju
Jurnal Ilmiah Teknik Industri Vol. 20, No. 2, December 2021
Publisher : Department of Industrial Engineering Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jiti.v20i2.14034

Abstract

Information technology has a major impact on knowledge-sharing activities. The combination of knowledge-sharing tools such as Web 2.0 and multimedia embodied in the use of tutorial videos on web-enabled online learning is the solution. The solution is expected to improve individual performance in solving troubleshooting problems. The model was developed which explained the relationship between knowledge sharing and individual performance in troubleshooting problems and identified the factors that influence it. The research data is obtained by distributing questionnaires online to Telkomsel service users who have experienced problems troubleshooting products or services. The conceptual model was tested based on 205 samples obtained online. From the test results, it can be seen that web-enabled online learning is effective because tacit knowledge sharing that occurs directly increases individual performance while the effect of explicit knowledge sharing is mediated by tacit knowledge sharing. The factors that drive knowledge-sharing activities can influence individual performance, namely trust, IT usage, and usability.
ANT-WUM: ALGORITMA BERBASIS ANT COLONY OPTIMIZATION UNTUK WEB USAGE MINING Abdurrahman -; Bambang Riyanto Trilaksono; Rila Mandala; Rajesri Govindaraju
JURNAL TEKNOLOGI TECHNOSCIENTIA Technoscientia Vol 2 No 1 Agustus 2009
Publisher : Lembaga Penelitian & Pengabdian Kepada Masyarakat (LPPM), IST AKPRIND Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (808.665 KB) | DOI: 10.34151/technoscientia.v2i1.67

Abstract

This paper is continuity research from our previous work in Ant-Miner implementation for web user classification. In our previous work, we implemented Ant-Miner algorithm for web user classification same with Ant-Miner for classification task in data mining domain. In this paper, we propose modification of heuristic function of Ant-Miner based on web usage mining (WUM) problem, that we name Ant-WUM. The heuristic function ACO is based on local problem domain. Information theory is common heuristic function used in classification task, such as implemented in C4.5 algorithm and ant-miner algorithm. Ant-WUM uses heuristic function based on closeness principle that implemented in clustering problem in WUM. We propose to use data from web access log, profile user, and transaction data to provide some attributes as term candidate of classification rule by Ant-WUM algorithm. We compared Ant-WUM algorithm with Ant-Miner algorithm. The result indicates that Ant-WUM has competitive result in term of accuracy rate, amount of rules, and computation time.
Owner’s Support, IT Sophistication and IT Adoption in Indonesian Manufacturing SMEs Singgih Saptadi; Iman Sudirman; T.M.A Ari Samadhi; Rajesri Govindaraju
Journal of ICT Research and Applications Vol. 8 No. 3 (2015)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2015.8.3.6

Abstract

The importance of technology, especially information technology (IT), to businesses is widely accepted. But, different from large enterprises, small and medium enterprises (SMEs) with their limited resources adopted IT slowly. Literature on technology adoption suggests that organizational readiness is one of many factors that determine the adoption of technology. This paper relates IT adoption in Indonesian manufacturing SMEs with their IT readiness represented by owners support and IT sophistication they have. In this paper, the variety of IT adoption by SMEs was explored using business process approach. The support from SMEs owner represented by owner’s IT knowledge and resource allocation. IT sophistication included management level supported by IT, IT skill and IT innovativeness of SMEs staff. Three propositions were formulated and explored using data collected from 320 SMEs. Using cluster analysis, these SMEs were classified into five type of IT adoption based on three business focus (supplier, internal and customer): early adoption, internal focus adoption, customer focus adoption, internal-customer focus adoption and balanced adoption. The results suggests wider IT adoption requires greater support from the owner and higher IT sophistication.
Requirement Volatility, Standardization and Knowledge Integration in Software Projects: An Empirical Analysis on Outsourced IS Development Projects Rajesri Govindaraju; Angra Bramagara; Leksananto Gondodiwiryo; Tota Simatupang
Journal of ICT Research and Applications Vol. 9 No. 1 (2015)
Publisher : LPPM ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/itbj.ict.res.appl.2015.9.1.4

Abstract

Information systems development (ISD) projects are highly complex, with different groups of people having  to collaborate and exchange their knowledge. Considering the intensity of knowledge exchange that takes place in outsourced ISD projects, in this study a conceptual model was developed, aiming to examine the influence of four antecedents, i.e. standardization, requirement volatility, internal integration, and external integration, on two dependent variables, i.e. process performance and product performance. Data  were collected from 46 software companies in four big cities in Indonesia. The collected data were examined to verify the proposed theoretical model using the partial least square structural equation modeling (PLS-SEM) technique. The results show that process performance is significantly influenced by internal integration and standardization, while product performance is  significantly influenced by external integration and  requirement volatility. This study contributes  to a better understanding of how knowledge integration can be managed in outsourced ISD projects in view of increasing their success.
Co-Authors Abdurrahman - Andara Arie Pratiwi Andara Arie Pratiwi Andi Cakravastia Angra Bramagara Anis Fuad Bambang Riyanto Trilaksono Bambang Riyanto Trilaksono Bram Andryanto Budhi Prihartono Budhi Prihartono Budhi Prihartono Budi Rahardjo Destina Ratna Asih Khodijah Kadarsah Haryana, Avif Hilmi Aulawi Hilmi Aulawi Hotma Antoni Hutahaean Iman Sudirman Iman Sudirman Iman Sudirman Iman Sudirman Iman Sudirman Iman Sudirman Iman Sudirman Iman Sudirman Ina Ratnamiasih Iwan Inrawan Wiratmadja Kadarsah Suryadi Kadarsah Suryadi Kadarsah Suryadi Kadarsah Suryadi Kadarsah Suryadi Leksananto Gondodiwirjo Leksananto Gondodiwiryo Leksananto Gondodiwiryo Leksananto Gondodiwiryo, Leksananto Luciana Andrawina M., Iqbal Yulizar Muhammad I. Akbar Muhammad I. Akbar, Muhammad I. Ni Luh Saddhwi Saraswati Adnyani Oktri Mohammad Firdaus Putri Mety Zalynda Putro, Bramantiyo Eko Rahmad Abdilah Reni Amaranti Rila Mandala Salamah, Siti Yaumi Singgih Saptadi Sinulingga, Jonathan Pratama Siti Yaumi Salamah T. M. A. Ari Samadhi T.M.A Ari Samadhi T.M.A. Ari Samadhi TMA Ari Samadhi TMA Ari Samadhi TMA Ari Samadhi TMA. Ari Samadhi Tota Simatupang Tota Simatupang Tota Simatupang Tota Simatupang Wawan Tripiawan Wiratmadja, Iwan Inrawan Wiratmadja, Iwan Inrawan