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All Journal Jurnal Masyarakat Informatika JURNAL SISTEM INFORMASI BISNIS Scientific Journal of Informatics
Beta Noranita
Jurusan Teknik Informatika FSM Undip
Computer Science & IT Economics, Econometrics & Finance

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Journal : JURNAL SISTEM INFORMASI BISNIS

 1 
Sistem Pendukung Keputusan Untuk Pengadaan Fasilitas Hotel Menggunakan Metode TOPSIS Hendartie, Susi; Surarso, Bayu; Noranita, Beta
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 1, No 3 (2011): Volume 1 Nomor 3 Tahun 2011
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (843.954 KB) | DOI: 10.21456/vol1iss3pp143-152

Abstract

The development of hotel business to make consumers more critical to choose a hotel products and services. If the hotel facilities more complete, so interest of the consumer is higher to choose the hotel. This  research study intend to build a decision support system for the procurement of hotel facilities with TOPSIS method. This method uses the six alternative form of the data; hotel rooms (guest  room), karaoke, gift shop, a gym, spa and travel corner (travel tour information) and data of some criteria. This method was chosen because it is based on the best alternative concept, was not only has the shortest distance from the positive ideal solution, but also has  the longest distance  from  the  negative  ideal  solution.  TOPSIS  calculations  systems  have  been  done  the  comparison  of  final  value  using  excell calculation. Calculations that used in this research study is simple and produces alternative hotel rooms (guest room) with t he highest ranking as the ideal solution. TOPSIS method facilitates decision-makers in choosing the best alternative for the procurement of hotel facilities.Keywords : Decision support system; Hotel facilities; TOPSIS
Enterprise Architecture Planning Untuk Pengembangan Sistem Informasi Perguruan Tinggi Khairina, Dyna Marisa; Mustafid, Mustafid; Noranita, Beta
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 2, No 3 (2012): Volume 2 Nomor 3 Tahun 2012
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol2iss3pp117-123

Abstract

In the development of the information system needed a plan that will complement the university's strategic direction. Planning process utilizing enterprise architecture planning methodologies that produce a conceptual model of the enterprise architecture that includes data architecture, application and technology. This research aim to make enterprise architecture planning a conceptual model of the enterprise architecture as a high-level blueprint for data, applications and technology. Conceptual model enterprise architecture generated can be used as a blueprint for data, applications and technology in the development of information systems. Results of the blueprint enterprise became architecture planning for the needs of the data, estimates of technology platforms and applications as well as other things that are needed in the development of an integrated information system in university.   Keywords:  Enterprise architecture planning; Data architecture; Application architecture; Technology architecture
Sistem Pemilihan Perumahan dengan Metode Kombinasi Fuzzy C-Means Clustering dan Simple Additive Weighting Jaya, Tri Sandhika; Adi, Kusworo; Noranita, Beta
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 1, No 3 (2011): Volume 1 Nomor 3 Tahun 2011
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (455.072 KB) | DOI: 10.21456/vol1iss3pp153-158

Abstract

Housing is one of human secondary needs. In selecting the most appropriate housing, there are lots of aspects to be considered to satisfy the costumers  want. In order to get optimal result, a system is needed to help the costumers to decide which housing fit them   most. System that will be built in this thesis is a system that supports costumers’ satisfaction in housing selection. There are 2 main stages in the  system,  namely  data  grouping  and  ranking.  Data  grouping  method  used  is  Fuzzy  C -Means  Clustering  (FCM).  Simple  Additive Weighting (SAW) is used for ranking purpose. Testing is carried out by comparing  interview result with system counting result. The testing result produces 9 cases that derive similar recommendation.Keywords : Housing selection; FCM; SAW; Recommendation; Grouping
Penerapan Model Certainty Factor Untuk Mendeteksi Gejala Kanker Mulut Rahim Mariana, Novita; Gernowo, Rahmat; Noranita, Beta
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 2, No 3 (2012): Volume 2 Nomor 3 Tahun 2012
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol2iss3pp152-159

Abstract

An expert system is a system that seeks to adopt human expertise so that computers can do things that can be done by an expert to solve specific problems. Experts in this case is an expert in the field to address the problem under on detecting cervical cancer. Cervical cancer is a disease that is very afraid of all women because it attacks the reproductive organs caused by the virus Human Papilloma Virus (HPV). The system is made to detect cervical cancer using the certainty factor with a forward chaining inference engine. Certainty factor method used in cervical cancer detection system to give certainty to the disease. As a result of this information system is to provide information regarding the statement of cervical cancer and cancer treatment solution according to the stage.   Kata kunci : Certainty Factor; Forward Chaining; Kanker Mulut Rahim
Sistem Pendukung Keputusan Evaluasi Pemilihan Pemenang Pengadaan Aset dengan Metode Simple Additive Weighting (SAW) Nugraha, Fajar; Surarso, Bayu; Noranita, Beta
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 2, No 2 (2012): Volume 2 Nomor 2 Tahun 2012
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (531.063 KB) | DOI: 10.21456/vol2iss2pp067-072

Abstract

Procurement of assets by auction requires a decision support in selecting the winning bidder so that decision makers can pick and choose the winner of the auction. This study aims to develop a Decision Support System (DSS), which serves as an aid in decision mak ing in the process  of  evaluating  the  winning  bidder  acquisitions.  In order to  achieve  the  purpose  of  SPK  well  then helped  by  using  one  of  the methods in decision-making that is the method of Simple Additive weighting method (SAW) to evaluate alternatives in the provision of asset  based  decision-making  criteria.  This  method  has  the  advantage  criteria  (benefits)  and  cost  criteria  (cost).  Criteria  advantage (benefit) is used when considering the aspects of decision making maximum profit. While the cost criteria (cost) is the inver se of the attributes of an advantage, in this draft decision will be looking  for a minimal fee. The results may support the decision on the selection of an alternative evaluation of acquisitions winners based on predetermined criteria.Keywords: Acquisitions; Decision support systems; Simple additive weighting
Studi Empiris Mengenai Penilaian Kinerja Jurusan di Bidang Penelitian Menggunakan Data Enevelopment Analysis (DEA) Farikhin, Farikhin; Noranita, Beta
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 3, No 3 (2013): Volume 3 Nomor 3 Tahun 2013
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol3iss3pp

Abstract

Performance evaluation of academic departments in university become routine activity to improve quality service.There qualitative and quantitative aspects to evaluate academic department. As well known that Data Envelopment Analysis (DEA) is one of non parametric technique based on linear programming. In this paper, we study to evaluate the academic departments with data envelopment analysis based on quantitative aspects. We formulate the performance evaluation as DEA problem. There are several stage to build DEA model as tool for the performance evaluation of academic departments. Firstly, we investigate purely quantitative variables in departement as input/output DEA model. Secondly, we discuss several ranking methods of decision making unit (DMU) to obtain efficiency of academic departments. In this paper, we use modified l1-norm method to rank DMU’s in DEA model. Keywords : DEA, DMU, and modified l1-norm method
Co-Authors A.A. Ketut Agung Cahyawan W Abidah Elcholiqi, Abidah Anak Agung Istri Sri Wiadnyani Anggun Pambudi Bayu Surarso Budi Prasetiyo, Budi Denny Hernadinata Nugraha, Denny Hernadinata Djalal Er Riyanto Dyna Marisa Khairina Fajar Nugraha Farikhin Farikhin Handayani, Selfi Rizky Hapsari Dita Anggraeni Iasa Kurniasari, Iasa Indra Waspada Kusworo Adi Lumban Gaol, Rikcat Kristian Muhammad Muhammad Mustafid Mustafid Ningsih, Mariza Putri Sari Dewi Novita Mariana Nurdin Bahtiar Pratama, Devi Pitaloka Ragil Saputra Rahmat Gernowo Rohman, Muh. Abdur Sasmita Liestyasari Sukmawati Nur Endah Susi Hendartie Tri Sandhika Jaya Widyanti, Dyah Firda