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Journal : JURNAL SISTEM INFORMASI BISNIS

Sistem Informasi Pendukung Keputusan Terhadap Mutu Lulusan dengan Metode Fuzzy Model Tsukamoto Ghozali, Ahmad Lubis; Mustafid, Mustafid; Farikhin, Farikhin
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 4, No 2 (2014): Volume 4 Nomor 2 Tahun 2014
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (921 KB) | DOI: 10.21456/vol4iss2pp87-95

Abstract

The importance of graduate information systems to support leadership in taking a decision related to the development of alumni, so that should make for a graduate information systems implemented in the form of web portals. Analysis of the data processed by the method of OLAP (Online Analytical Processing), KPI (Key Performance Indicators) graduates, and data mining to extract and transform data holds the data will be stored in the warehouse. The process of data analysis using OLAP and Fuzzy method to determine the parameters of the model Tsukamoto graduate performance and quality of college graduates. The process of data analysis is represented in the form of tables, graphs, and dashboards, then used as a prop for academic results. OLAP analysis result data processed using the fuzzification, inference, and defuzzification to produce quality graduates index. These findings form a web-based information systems graduate portal with content features alumni and stakeholders as a graduate performance indicators that can be accessed through an Internet connection. The information system produces graduates index KPI performance and quality of graduates graduated as a decision support by the leadership and the head of the research program carried out at the University, KPI graduates to indicate that the parameters of the specific level of quality graduates and overall views of the dimensions of the year and course of study, such as in 2011 the level of quality of graduates of IT course overall "Good", TM course as a whole "Good", TP courses overall "Good". Keywords: Information systems graduates; OLAP, KPI graduates; Tsukamoto Fuzzy Logic model
Model Servqual Rule Base Asean University Network untuk Penilaian Kualitas Program Studi Wijayanti, Esti; Farikhin, Farikhin; Gernowo, Rachmat
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 1 (2016): Volume 6 Nomor 1 Tahun 2016
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1076.224 KB) | DOI: 10.21456/vol6iss1pp59-65

Abstract

As well known that AUN (Asean University Network.AUN) and ABET (Accreditation Boardb for Enginnering and Technology) are non-profit organitatinon which have. AUN (Asean University Network) were using variable with refer to AUN’s criteria’s there consist of fifteen which are: Expected Learning Outcomes, Programme Specification, Programme Structure and Content, Teaching and Learning Strategy, Student Assessment, Academic Staff Quality, Support Staff Quality, Student Quality, Student Advice and Support, Facilities and Infrastructure, Quality Assurance of Teaching/Learning Process, Staff Development Activities, Stakeholders Feedback, Output, Stakeholders Satisfaction,and adopted score's scale 7. In there here, we discuss the fifteen AUN’s of AUN in the criterias. There servqual of as can be into five dimensions, assurance, empathy, responsive, reliability and facilty in order to make the assessment's process easier. This research outcome indicated that this proposed method can be used to evaluate an education program. The validation result by using AUN's data and the analysis of servqual rule base Asean University Network almost have the same pattern with correlation value is 0,985 and this is can be accepted because its validity have reach 97%.
Particle Swarm Optimization Untuk Sistem Informasi Penjadwalan Resource Di Perguruan Tinggi Mansur, Mansur; Prahasto, Toni; Farikhin, Farikhin
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 4, No 1 (2014): Volume 4 Nomor 1 Tahun 2014
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2225.617 KB) | DOI: 10.21456/vol4iss1pp11-19

Abstract

Course timetabling management information system is a system focusing on data management resource and constraints in optimizing the use of available resources and avoid clashing in the process of making class timetabling, so that the resulting information will be effective. Results of such information may assist the college in planning the use of space, and to develop programs of study. Data resource and constraints are implemented using timetabling information system with PSO algorithm. The results of the data analysis using the PSO algorithm by combining six hard constraint and two soft constraints cannot produce an optimal solution, because there are still clashing lecturer-timeslot (soft1), but without combining both soft constraints can produce maximum solutions in the use of the room, where the solution with the best fitness value (0.333), c1(2,0), c2(2,0), w(0,2), and maximum of 10 iterations of the desired solution. The final results are timetabling management information system for resource utilization that generates class timetable information and use of the room.   Keywords : Management information system; PSO algorithm; Resource; Constraints; Course timetabling; Higher education
Sistem Pendukung Keputusan Penyeleksian Proposal Dana Menggunakan Metode AHP D Numbers Kurniati, Rezki; Surarso, Bayu; Farikhin, Farikhin
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 5, No 1 (2015): Volume 5 Nomor 1 Tahun 2015
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (893.808 KB) | DOI: 10.21456/vol5iss1pp9-18

Abstract

Selection offundsproposals was done to selectan eligible applicant. The Selectioninvolvesmultipleassessors(decision group) totakea decision. This study used AnalyticProcessHirarcyDampsterNumber orknown as theAHPDNumbersorD-AHP. This methodcan beusedfordecision makingprocess ofindividuals andgroups.In additionD-AHP alsosolve the problemwithcomplete informationandincompleteinformation. D-AHP processby consideringthe selectioncriteriaandalternativeassessment.Assessmentby doinga comparisonbetweenthe criteria.Furthercomparisonof thealternativecriteria.The end result isarankingof theoptions. . Keywords: DNumbers; D-AHP; Preference relation; Proposal selection
Implementasi Model CCR Data Envelopment Analysis (DEA) Pada Pengukuran Efisiensi Keuangan Daerah Israwan, LM Fajar; Surarso, Bayu; Frikhin, Farikhin
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 6, No 1 (2016): Volume 6 Nomor 1 Tahun 2016
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (628.136 KB) | DOI: 10.21456/vol6iss1pp76-83

Abstract

Regional budget control system is implemented through an audit and evaluation to ensure that its implementation is in accordance with the plan that it can be efficiently and effectively used. Regional budget efficiency measurement then aims to measure the efficienty of budget use of each Regional Work Unit (SKPD) and to optimalize its use. The efficiency of Regional Work Unit is measured using CCR Data Envelopment Analysis (DEA) model with one input variable and eight output variables, in which this CCR DEA applies Linear Programming approach and evaluates relative efficiency of Decision Making Units (DMUs). The sample was in a total of sixteen DMUs. The result revealed that seven DMUs were efficient, in which their reference set was then used to optimalize the input and output variables of other inefficient DMUs. This result was validated through paired sample t-test, proving to meet the hypothesis of Ho -2,042 ≤ tcount ≤ 2,042 showing that CCR DEA can be used as a method to measure regional budget efficiency with accurate results.
Implementasi Metode AHP Dan Promethee Untuk Pemilihan Supplier Chamid, Ahmad Abdul; Surarso, Bayu; Farikhin, Farikhin
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 5, No 2 (2015): Volume 5 Nomor 2 Tahun 2015
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (607.087 KB) | DOI: 10.21456/vol5iss2pp128-136

Abstract

Selection of suppliers is one of the most important things to meet the needs of the company consistently and at an acceptable cost, decision support system used to select suppliers by identifying suppliers with the highest potential. The object of this study is the drug suppliers. In this study we use four criterias to select suppliers of drugs: drug completeness, price, time delivery, payment or loan term. AHP method is used to calculate the weight of each criterion based on the pharmacist assessment. The weight criterias of the AHP process result is used for the calculation of the alternatives rank. PROMETHEE method used to alternatives calculation analysis that produce alternatives rankings.
Pendekatan Clustering untuk Ekstraksi Pengetahuan pada Pembangunan Sistem Manajemen Pengetahuan Pulukadang, Dwinta Rahmallah; Mustafid, Mustafid; Farikhin, Farikhin
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 5, No 2 (2015): Volume 5 Nomor 2 Tahun 2015
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (727.231 KB) | DOI: 10.21456/vol5iss2pp79-83

Abstract

The importance of knowledge management in any organization encourages the development of a knowledge management system with features that can facilitate knowledge management processes such as storing, organizing, filtering, searching, and most important is the transfer of knowledge. The purpose of this researchis to develop a knowledge management system with a clustering approach for knowledge extraction by using a knowledge of publication writing. This study uses clustering k-means method which is used for cluster knowledge feature where at the same time can help the process of organizing, filtering, browsing and searching knowledge. The results of this research showed that the clustering k-means can be used for knowledge management system with the best value of purity= 0,8454 which is found by using k = 20. Clustering approach in the system again can help the process for knowledge searching based on knowledge cluster. This can be proved by carried out 15 times experiments which result in average level of accuracy (precision) about 89.13% and the average rate of completeness (recall)about 85.73 %.  
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
Implementasi Metode ANP-PROMETHEE Untuk Pemilihan Supplier (Studi Kasus PT. Lamongan Marine Industry) Wicaksono, Mahad; Surarso, Bayu; Farikhin, Farikhin
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 10, No 1 (2020): Volume 10 Nomor 1 Tahun 2020
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (516.641 KB) | DOI: 10.21456/vol10iss1pp36-45

Abstract

The selection of suppliers is essential to minimize the cost of procuring raw materials for production. This research is important to do in order to increase company profits and ensure the smooth production process. This study aims to select suppliers of shipbuilding raw materials of PT. LMI based on the best ranking order using the ANP-PROMETHEE method implemented in a decision support system. The variables used are 16 sub criteria and 6 alternatives. The ANP-PROMETHEE method is used because of its advantages in handling multi-criteria assessment based on subjective assumptions from decision makers. Stages of the study began with the ANP method to get the importance of weight then proceed to the calculation with the PROMETHEE method to get an alternative ranking. The results of this study is an application as a Decision Support System (DSS) that can help make supplier selection based on predetermined criteria. From the results of the study it was concluded that the ANP-PROMETHEE method can be implemented and is the right solution for supplier selection, ANP handles the problem of multiple objective decision making so that objectivity is maintained, while PROMETHEE handles the multi attribute decision making problem. Other conclusions are obtained that the PROMETHEE calculation has a more significant influence in determining the final outcome of an alternative ranking than the ANP. An input of ANP value is needed with a long number interval so that the results of the calculation of the Consistency Ratio (CR) approach the CR threshold (0.1) so that the ANP has a significant influence in determining the final outcome of an alternative ranking. The CR number that was tested was 0.0629 and proved unable to change the alternative ranking final results, when the CR number that was tested was 0.0993, it was proven to be able to change the alternative ranking final results.
Co-Authors A. Haris A. Rusgiyono Acep Irham Gufroni Adi Ariyo Munandar Adi Suliantoro Ahmad Abdul Chamid Ahmad Lubis Ghozali Aprilia, Maita Aris Sugiharto Arnelli Arnelli B. Raharjo Bambang Irawanto Bambang Irawanto Bambang Subeno Bayu Surarso Bayu Surarso Beta Noranita Bibit Waluyo Aji Budi Warsito Carolin Carolin Catur Edi Widodo D. Ispriyanti Didik Setiyo Widodo Dinar Mutiara Kusumo Nugraheni Djuwandi Djuwandi DONNY IRAWAN MUSTABA Dwinta Rahmallah Pulukadang, Dwinta Rahmallah E. Setiawati Erikha Feriyanto Erlin Dwi Endarwati, Erlin Dwi Esti Wijayanti, Esti F. Ariyanto Faozi, Safik Faudin, Arif Nur Fauzi, Irza Nur Feriyanto, Erikha Ferry Jie, Ferry Fitika Andraini H. Sutanto Heny Maslahah, Heny I. Marhaendrajaya Iswahyudi Joko Suprayitno J. E. Suseno Kartono . Keszya Wabang Kusworo Kusworo Laily Rahmania, Laily LM Fajar Israwan, LM Fajar M. Izzati M. Nur Madani, Faiq Mansur Mansur Meryta Febrilian Fatimah, Meryta Febrilian Mustafid Mustafid Neza Zhevira Septiani Nikken Prima Puspita Nikken Prima Puspita Nur Khasanah Oky Dwi Nurhayati Pangestika, Vidya Dwi Pradana, Fadli Dony Prantiastio Prastio, Wahyu Tedi Priyono Priyono Purwanto Purwanto R. Hariyati R. Hastuti Rachmat Gernowo Ratri Wulandari Retno Kusumaningrum Rezki Kurniati, Rezki Rineka Brylian Akbar Satriani Rinta Kridalukmana Robertus Heri Sulistyo Utomo S. Tana Safik Faozi, Safik Satriani, Rineka Brylian Akbar Siti Khabibah Siti Khabibah Sri Wahyuni Sugito Sugito Suhartono Suhartono Sunarsih . Suparti Suparti T. Windarti Titi Udjiani SRRM Toni Prahasto Udjiani , Titi Udjiani S.R.R.M, Titi Usman, Carissa Devina Uswatun Khasanah W. H. Rahmanto Wahyul Amien Syafei Wardani, Novita Koes Wardianto, Wardianto Warsito , Budi Wicaksono, Mahad Wyne Mumtaazah Putri Yosza Dasril Yully Estiningsih Z. Muhlisin