Inovate : Jurnal Ilmiah Inovasi Teknologi Informasi http://ejournal.unhasy.ac.id/index.php/inovate Inovate : Jurnal Ilmiah Inovasi Teknologi Informasi Fakultas Teknologi Informasi Universitas Hasyim Asy'ari en-US ejournal@unhasy.ac.id (Sri Widyowati) glan.putra@unhasy.ac.id (IGL Putra Eka Prismana) Wed, 20 Mar 2019 00:00:00 +0000 OJS 3.1.2.0 http://blogs.law.harvard.edu/tech/rss 60 EVALUASI KINERJA PROGRAM STUDI MENGGUNAKAN METODE INTEGRATED PERFORMANCE MEASUREMENT SYSTEMS DAN ANALYTIC HIERARCHY PROCESS (Studi kasus : Program Studi Teknik Informatika Universitas Hasyim Asy’ari) http://ejournal.unhasy.ac.id/index.php/inovate/article/view/406 <p>Implementing performance improvement programs, studios are solutions that can be used to achieve better Hasyim Asy'ari University. Using the Integrated Performance Measurement Systems (IPMS) and Analitycal Hierarchy Process (AHP) methods, studio performance appraisal programs can be carried out optimally because this method is all the needs and needs of all stakeholders that will be needed to make a need to make the Main Performance Indicator (KPI). While AHP is used in making decisions from each KPI to be weighted and then assessed to determine the scores of the studio program. The results obtained from this study are in the results of the evaluation of informatics engineering courses obtained 9 general criteria and 28 sub-criteria or KPI. The average rating system from KPI is 81.53% giving information about the performance of the Unhasy Informatics Engineering Study Program as a whole its performance has been good. For the KPI, the average time to successfully get a job and the dictate ratio of the subject is the highest score while the KPI ratio of AC to the lecture room gets the lowest score.</p> <p><strong>Keywords:</strong> Performance measurement, Integrated Performance Measurement System (IPMS), AHP</p> Chamdan Mashuri, Arbiati Faizah Copyright (c) 2019 Inovate : Jurnal Ilmiah Inovasi Teknologi Informasi http://ejournal.unhasy.ac.id/index.php/inovate/article/view/406 Sat, 15 Jun 2019 06:41:19 +0000 RANCANG BANGUN SISTEM VERIFIKASI DATA DOKUMEN http://ejournal.unhasy.ac.id/index.php/inovate/article/view/407 <p>A Study Program certainly has a routine agenda every semester, such as a thesis session. Before the trial thesis is carried out, there are several stages that are passed. The recap and data verification phase is done manually by the study program admin by looking at the complete requirements file. The process arises a problem that is unable to know the authenticity of the requirements documents, especially the guidance sheet file, the approval of the trial registration from the lecturer. So we need a system that can solves these problems. The system will be created using the Two Factor Authentication (2FA) method because the verification process is not enough to do with a username and password. Using the 2FA method the verification system can ensure that the person who verifies is the authority. The result is an information system for document management and document verification has been made using the Two Factor Authentication (2FA) method.</p> <p>.</p> <p><strong>Keywords:</strong> document,&nbsp;verification,&nbsp;2FA</p> Danar Putra Pamungka Copyright (c) 2019 Inovate : Jurnal Ilmiah Inovasi Teknologi Informasi http://ejournal.unhasy.ac.id/index.php/inovate/article/view/407 Sat, 15 Jun 2019 06:42:09 +0000 PREDIKSI PRODUKSI PADA VENDOR MANAGED INVENTORY (VMI) DENGAN MENERAPAN RADIO FREQUENCY IDENTIFICATION (RFID) DAN FUZZY TIME SERIES (FTS) http://ejournal.unhasy.ac.id/index.php/inovate/article/view/408 <p>Inventory is a material deposit of a company in the form of raw materials, in-process goods and finished goods. Inventory is also a major factor in the center of corporate activity, one of which is influenced by demand or sales. Vendor managed inventory (VMI) is one of inventory control system that is very useful to improve company performance. This research uses Radio frequency identification (RFID) technology and uses fuzzy time series (FTS) method to predict demand or sales and leverage vendor managed inventory (VMI) model or system in which to apply formula for safety stock control which then developed by modeling business and Implemented in the form of web-based information systems. By using the actual historical data of sales for 5 years which then predicted by fuzzy time series method, and from prediction result is calculated for safety stock. By using 60 sample data from histori penjulan obtained Mean Absolute Deviation (MAD), Mean Square Error (MSE) and Mean Square Percent Error (MAPE) are 50,690, 4,600,953,015 and 15%. From the prediction results used for the calculation of safety stock in December 2106 obtained value of 135,535. This indicates that the fuzzy time series is good enough to be used in predicting demand or sales and stock control..</p> <p><strong>Keywords:</strong> VMI, Inventory, RFID, Fuzzy time series, Safety stock</p> Chamdan Mashuri Copyright (c) 2019 Inovate : Jurnal Ilmiah Inovasi Teknologi Informasi http://ejournal.unhasy.ac.id/index.php/inovate/article/view/408 Sat, 15 Jun 2019 06:42:28 +0000 PENERAPAN SISTEM PENDUKUNG KEPUTUSAN METODE TECHNIQUE FOR ORDER PREFERENCE BY SIMILARITY TO IDEAL SOLUTION (TOPSIS) REKOMENDASI SISWA BERPRESTASI UNTUK DIAJUKAN KE KELAS UNGGULAN http://ejournal.unhasy.ac.id/index.php/inovate/article/view/410 <p>Madrasah tsanawiyah negeri is an islamic school which have the same level as junior high school. Sometimes it requires outstanding students to be recommended to a special class, which not only considers academic score, but also non-academic of each student. To avoid subjective decision, it need Decision Support System (DSS) in providing student recommendations.</p> <p>One of DSS methods to solving a problem is TOPSIS. TOPSIS is based on the concept that the chosen alternative should have the shortest distance from the positive ideal solution as well as the longest distance from the negative ideal solution</p> <p>This study focuses on providing recommendation of outstanding students at MTsN Tambakberas Jombang. Observations data are collected from students grade 7 and processed using TOPSIS method. The criteria variables are academic score, nonacademic score, extra score, attitude score, attendance score, communication skill, and expertness. The result&nbsp; of preference score is generated by system then compared with result of manual. The comparison obtained an accuracy of 99.75%. Then, based on blackbox testing it can be concluded that the system is feasible to be used in this study case.</p> <p><strong>Keywords:</strong> DSS, TOPSIS, Recommended Student, Outstanding Class</p> Dedy Rahman Prehanto, Anita Andriani Copyright (c) http://ejournal.unhasy.ac.id/index.php/inovate/article/view/410 Wed, 26 Jun 2019 00:00:00 +0000 SISTEM PEMILIHAN RUMAH KOS TERBAIK DI SEKITAR UNHASY DENGAN METODE MULTI ATTRIBUTE UTILITY THEORY (MAUT) BERBASIS WEB http://ejournal.unhasy.ac.id/index.php/inovate/article/view/411 <p>Boarding house is temporary house rent by a settled foreigner or someone who stays a way from home. Some of unhasy students from outside the city find some difficulties to get information about the boarding house, they have to come and compare it. It makes them confused to select the best boarding house. Therefore, it is necesssary to present a system on selecting a boarding house in order to help the students.</p> <p>The system implements MAUT method with several criteria related to finding the best boarding house. The superiority of the MAUT method is able to process data from multiple criteria which have different attributes. As another DSS method, MAUT is only able to solve the problem of semi-structured and non-structured.</p> <p>The system work by searching the result of total evaluation on every boarding house based on the determined criteria and alternative clasification. As the result, the system shows the best boarding house to be recomended. the</p> <p>comparison between system and manual calculation gets 100 % accuration. This proves that the MAUT method has been successfully applied to the system, and able to give recomendation the best boarding house based on the specific criteria above.</p> <p><strong>Keyword </strong>: boarding house, decision supporting system, MAUT, Information System</p> Arif Hidayatullah, I Kadek Dwi Nuryana, Anita Andriani Copyright (c) http://ejournal.unhasy.ac.id/index.php/inovate/article/view/411 Wed, 26 Jun 2019 00:00:00 +0000 SISTEM PENDUKUNG KEPUTUSAN CALON PENERIMA BEASISWA KURANG MAMPU PADA SMK SULTAN AGUNG 1 MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING http://ejournal.unhasy.ac.id/index.php/inovate/article/view/412 <p>Scholarship of underprivileged is a grant provided by goverment or institutions to students from underprivileged family. Scholarship covering all levels of education, whether student still in primary school until college. The selection of scholarship&nbsp; is obtained if students meet the specified criteria. Scholarship selection in the SMK Sultan Agung 1 Jombang sometimes not accordance with assessment results. Many rich student are able to get scholarship while underprivileged students don’t get scholarship. The large number of students applying for scholarship make it difficult to make a decision. Based on this, build a decision support system can assist SMK Sultan Agung 1 Jombang to manage the selection of scholarship based on criteria. Decision Support System are build using PHP as programming language and MySQL as database. This system is called <em>Simple Additive Weighting</em> (SAW). SAW method is performing a weighted sum of performance ratings on each alternative on all attributes. This method are suitable to be used in making decision support system because the result obtained accordingly. The System do ranking from the best alternative of the student who applied scholarship. System has been tested to determine performance of the system along with functions contained in the system. Testing is done using Blackbox testing method. This test done by trying the existing function on the system, whether it is suitable with the expected result by the school. The result obtained from Blackbox testing indicate that the system created has been running well.</p> <p><strong>Keyword</strong> : Decision Support System, Simple Additive Weighting, Scholarship</p> Johan Fikandda, Dedy Rahman Prehanto, Aditya Yuli Setyawan Copyright (c) http://ejournal.unhasy.ac.id/index.php/inovate/article/view/412 Wed, 26 Jun 2019 00:00:00 +0000 DETEKSI MINAT BELI PELANGGAN TERHADAP PRODUK PAKET INTERNET MENGGUNAKAN ALGORITMA NAÏVE BAYES CLASSIFIER http://ejournal.unhasy.ac.id/index.php/inovate/article/view/413 <p>The need for communication technology that can find out the customer's buying interest is something that is<br>needed by the company, the goal is that the company can obtain consideration regarding product sales and<br>appropriately take a policy regarding pricing of a product, the amount of product supply and so on. The naïve<br>bayes classifier method is sufficient to be able to find out how much the customer's buying interest in an<br>internet package product is by analyzing the results of past sales, meaning that the Naive Bayes algorithm<br>can predict future opportunities based on past experience, by defining each class from all attribute. The naive<br>bayes classification is assumed that there is or not a certain feature and a class has nothing to do with other<br>characteristics and classes. This study defines several characteristics, namely operator, quota, active period<br>and product price. From the results of this study is the author can find the value of accuracy from the results<br>of calculating interest and not by comparing the results of predictions with actual results outside the training<br>data. Based on data on internet package product sales as training data, the Naive Bayes method successfully<br>classifies 10 product data with 858 transaction data as training data and 10 product data with 115 transaction<br>data as test data. From the analysis of all test data and training data, the truth ratio is 8/10, which is 8 out of<br>10 products with predictive values that are of true value. So that the accuracy value is 80% and to find out<br>the customer's buying interest by calculating the sales data that has been past with the provisions and in<br>accordance with the specified label, the results of this prediction are expected to be a better policy<br>consideration for the sales business. <br>Keywords: naïve bayes classifier, sales of internet package products</p> Ahmad Syahrul Mubarok, Dedy Rahman Prehanto, Mahrus Ali Copyright (c) http://ejournal.unhasy.ac.id/index.php/inovate/article/view/413 Wed, 26 Jun 2019 00:00:00 +0000 Perancangan Nganjuk E-Tourism Berbasis Android Dengan Algoritma Dijkstra Untuk Pencarian Jalur Terdekat Objek Pariwisata http://ejournal.unhasy.ac.id/index.php/inovate/article/view/414 <p>Nganjuk is an area that has a myriad of very beautiful tours. Some of the attractions are Sedudo Waterfall,<br>Embung Estumulyo, Ngetos Temple and many more interesting sights worth visiting. But efforts to promote<br>the tourism sector from the Nganjuk regency is still limited, such as the distribution of brochures from the<br>Department of Tourism in the city center at the time of the Day of Nganjuk Anniversary. Use Dijkstra's<br>Algorithm method as the nearest distance counter and use the Google Maps service to present a visual map.<br>Nganjuk Tourism Application can guide the tourists by showing the closest route on the map to the tourist<br>location. Seeing Nganjuk tourism potential is so great then this thesis makes the application Nganjuk Tour<br>based on Android. This minithesis hopes to increase the desire of tourists to visit Nganjuk and see Nganjuk<br>cultural charm that is so special.<br>Keywords: Android, Tourism, Nganjuk, Dijkstra Algorithm.</p> Abdul Karim Amrulloh, IGL Putra Eka Prismana, Anita Andriani Copyright (c) http://ejournal.unhasy.ac.id/index.php/inovate/article/view/414 Wed, 26 Jun 2019 00:00:00 +0000