Articles
<![CDATA[EDUCATIONAL DATA MINING UNTUK MENINGKATKAN PENDUKUNG KEPUTUSAN DALAM SISTEM INFORMASI SEKOLAH ]]>
<![CDATA[M Mahaputra Hidayat]]>
<![CDATA[ Prosiding SNATIF 2015: Prosiding Seminar Nasional Teknologi dan Informatika ]]>
Publisher : <![CDATA[Prosiding SNATIF ]]>
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<![CDATA[Abstrak Educational Data Mining adalah disiplin yang muncul berkaitan dengan pengembangan metode untuk mendapatkan informasi unik dari dataset yang berasal dari pendidikan. Informasi unik tersebut kemudian dievaluasi agar dapat digunakan untuk mengatasi permasalahan-permasalahan dalam dunia pendidikan seperti mengukur kinerja siswa, memprediksi kegagalan sekolah dan sebagainya. Pada paper ini diusulkan sebuah model konseptual untuk meningkatkan integrasi data dan memasukkan data mining dalam statistik pendidikan. Dalam model konseptual ini, data pendidikan periodik yang dihasilkan dari sistem informasi sekolah akan digunakan sebagai temuan awal untuk proses evaluasi pengambilan keputusan. Sebagai prototipe dari sebuah implementasi dari konsep yang diajukan ini, prediksi keberhasilan sekolah menggunakan Jaringan Saraf Tiruan (JST) diamati dan diuji menggunakan struktur yang diusulkan. Hasil dari penelitian ini menunjukkan bahwa pengguunaan variabel siswa, guru dan sekolah memiliki pengaruh yang signifikan terhadap keberhasilan sekolah dibanding hanya menggunakan variabel siswa saja. Sehingga temuan ini dapat digunakan oleh pengambil keputusan untuk merekomendasikan perbaikan sistem pendidikan berdasarkan fakta dari data. Kata kunci: Educational data mining, sistem informasi sekolah, sistem pendukung keputusan.auto ? iddari]]>
<![CDATA[Analysis and Development of Laboratory Information Systems (case Study : Informatics Engineering Laboratory, Bhayangkara University, Surabaya) ]]>
<![CDATA[Syariful Alim]]>;
<![CDATA[M Mahaputra Hidayat]]>;
<![CDATA[Muchammad Faisal Aditya]]>
<![CDATA[ JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 6 No. 1 (2021): JEECS (Journal of Electrical Engineering and Computer Sciences) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Bhayangkara ]]>
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DOI: 10.54732/jeecs.v6i1.189
<![CDATA[At first information systems do not have to be associated with information technology, but with the development of the times, nowadays an information system can not exist without the use of information technology. A system is needed to facilitate the affairs of an organization. The effecctiverss of the system will affect the success of the organization under it. The development of Web-based Information Systems is an effort to develop the implementation of practice and in order to improve the quality of services to students that are effective, efficient and transparent, and directed to achieve the establishment of information networks and service transactions to qualified students without restrictions on partition and space. The end goal is the development of Laboratory Information System is expected to accommodate the concept, the essence and the nature of service to students with excellenees. The results of the test based on questionnaire data. Presentase conformity system reach 92%, where the system runs in accordance with the wishes of responden. While the system discrepancies reach 8%.]]>
<![CDATA[Decision Support System for Selecting Order Types Using the SAW-AHP Method ]]>
<![CDATA[M Mahaputra Hidayat]]>;
<![CDATA[Mas Nurul Hamidah]]>;
<![CDATA[Rizky Wahyu Prastyawan]]>
<![CDATA[ JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 5 No. 2 (2020): JEECS (Journal of Electrical Engineering and Computer Sciences) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Bhayangkara ]]>
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DOI: 10.54732/jeecs.v5i2.92
<![CDATA[This study aims to make it easier for users to choose the type of orchid that is suitable for planting in the user's environmental conditions. This research was conducted because there were many orchid enthusiasts who wanted to cultivate it but it was not balanced with knowledge of the characteristics of orchids that can live in ideal environmental conditions. The SAW method plays a role in the initial classification where the results of the SAW method classification are sorted from the largest value to the smallest value, then the 10 best results from the SAW method will be processed by the AHP method and produce the final result, the recommended orchid. The final result obtained in this system is in accordance with the manual calculations performed, this means that the system classifies rules properly and accordingly.]]>
<![CDATA[Applying the Weighted Product Method for The Best Selection of Personal Quality Control in Pt. Pacific Equinox Surabaya ]]>
<![CDATA[M Mahaputra Hidayat]]>;
<![CDATA[Eko Prasetyo]]>;
<![CDATA[Sona Ahmad Susanto]]>
<![CDATA[ JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 5 No. 1 (2020): JEECS (Journal of Electrical Engineering and Computer Sciences) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Bhayangkara ]]>
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DOI: 10.54732/jeecs.v5i1.99
<![CDATA[The aim of this research is to design and implement a decision support system software for the selection of the best quality control at PT. Pacific Equinox Surabaya. The intent and purpose of this research is to study the process of selecting the best employees who have been working on a manual system into a computerized system and use the Weighted Product method as an algorithm to facilitate the process of selecting the best employees.This system also has the advantage of helping the management process data and values of PT. Pacific Equinox Surabaya employees. In addition, more efficient time efficiency and also helps in the process of making reports required by management.The results of this study are applications that can make it easier to analyze a number of data, in order to help provide information as a result of the best employee decision making. But this system also still has weaknesses in terms of facilities and program appearance so that it still needs improvement]]>
<![CDATA[District and City Clasterization Based on Adipura Assessment in The Region of Indonesia Using the Fuzzy Methodc-Means ]]>
<![CDATA[Syariful Alim]]>;
<![CDATA[M Mahaputra Hidayat]]>;
<![CDATA[R Dimas Adityo]]>;
<![CDATA[Elta Deka Wilinda]]>
<![CDATA[ JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 5 No. 1 (2020): JEECS (Journal of Electrical Engineering and Computer Sciences) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Bhayangkara ]]>
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DOI: 10.54732/jeecs.v5i1.102
<![CDATA[Adipura is an award for Indonesian cities that succeed in cleanliness and management of the urban environment. Adipuraisorganizedby the State Ministry ofEnvironment.Adipurais actually usedasatool to encourage the motivation of government officials and the community to improve and improve environmental hygiene conditions in Indonesia. The problem istodeterminetherecipient ofAdipuratakes2weeksto selectRegenciesandCities in all regions of Indonesia, in this study there were 374 Cities and Regencies collected. Clustering is a method of grouping based on the size of closeness (similarity). Clustering is different from a group, if a group means the group is in the same condition, if not, then definitely not the group. One method that can be usedin clusteringis fuzzy c-means. In the concept ofFuzzyC-Means firstdetermine the center of the cluster, which will mark the average location of each cluster which is then carried out the process of repairing the cluster center and the degree ofmembership of the point to theminimization of objective functions that describe the distance from the data points given to the center of the weighted cluster by the degree of membership of that point. From the results of testing a regional clustering systemthat deservesAdipura with the result that each cluster in each processgets avalue that is always changing, so it cannot determine the labeling of a patent. Data greatly influences the time for application processing. The more data it will take more time for the fastest time is in the Big City category while the longest application execution time is in small cities with a total data of 273.]]>
<![CDATA[Decision Support System for The Feasibility of Giving Customer Credit Using Topsis and Saw Methods (case Study): Save Loan Cooperative CV. the Source of Prosperous Life ]]>
<![CDATA[M Mahaputra Hidayat]]>;
<![CDATA[Mas Nurul Hamidah]]>;
<![CDATA[Ayu Nur]]>
<![CDATA[ JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 4 No. 2 (2019): JEECS (Journal of Electrical Engineering and Computer Sciences) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Bhayangkara ]]>
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DOI: 10.54732/jeecs.v4i2.115
<![CDATA[Supporting System for Deciding the Feasibility of Providing Credit to Customers with Topsis Method andSimple Additive Weighting Method in CV. Sumber Hidup Prosperous, this research is motivated by the results of acustomer who must meet the criteria determined by the cooperative to be able to get credit. In this case cooperativesare required to be able to make decisions quickly and carefully. To realize this it is necessary to have a decisionsupport system (SPK) with the Topsis method and the Simple Additive Weighting method that can solve the problemof decision making with many criteria. The results obtained from this study are the application program of the DecisionSupport System for Providing Credit to the Customer with the Topsis Method and the Simple Additive WeightingMethod in CV. The Source of Prosperous Life. The conclusions of the results of this study have shown a value that isaccurate enough to help simplify the process of creditworthiness and report generation.]]>
<![CDATA[Development of Nutritional Fulfillment Funds for Pregnant Women Using Web-Based Sugeno Method Case Study: "NURANI" Maternity Clinic and Maternity Hospital ]]>
<![CDATA[Dita Mustika Anggraeni]]>;
<![CDATA[Eko Prasetyo]]>;
<![CDATA[M Mahaputra Hidayat]]>
<![CDATA[ JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 4 No. 1 (2019): JEECS (Journal of Electrical Engineering and Computer Sciences) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Bhayangkara ]]>
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DOI: 10.54732/jeecs.v4i1.121
<![CDATA[The high rate of malnutrition in various regions and the increasing prevalence of obesity, especially in big cities, is a double burden of nutritional problems in Indonesia. Meanwhile, the utilization of health facilities by those lower classes people in particular is still low and the health service itself is far from optimal. Besides, the pregnant women are also reluctant to consult their nutrients experienced during pregnancy. From the above problems, an application which can help pregnant women in making nutritional decisions at the time of pregnancy without consulting to consult a doctor / nutritionist was finnally made, that is Sugeno Fuzzy method. This method can provide the right nutritional decisions for pregnant women. The purpose of this study is to assist and facilitate pregnant women in the fulfillment of nutrition during pregnancy. Input used in this study is BMI, age of pregnant woman and age of pregnancy. While the output of the end result of this application system is to provide decisions about the nutrients experienced by pregnant women, they are less nutrition, ideal nutrition and excessive or much nutrition. The results of the experiment gives the calculation; the error rate of 62 % and the accuracy of 38 %.]]>
<![CDATA[Decision Support System for Selecting Tourist Object in Surabaya City Using Simple Additive Weighting Based on Android ]]>
<![CDATA[Putri Agustin Merditawati]]>;
<![CDATA[M Mahaputra Hidayat]]>
<![CDATA[ JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 4 No. 1 (2019): JEECS (Journal of Electrical Engineering and Computer Sciences) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Bhayangkara ]]>
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DOI: 10.54732/jeecs.v4i1.122
<![CDATA[In this Final Project will be discussed regarding the implementation of the Attraction Decision Support System in Surabaya using Simple Additive Weighting. The problem to be taken is to get the best results from 50 attractions in the city of Surabaya based on the user's location by using an Android-based operating system, to make it easier for users to access this application. To obtain the value of distance criteria, this application uses the Haversine formula. The results of the study of the decision support system application for the selection of attractions in the city of Surabaya using the Simple Additive Weighting method is the highest value obtained from attractions based on the user's location with weights for each criterion especially the distance criteria which has a weight of 0.3.]]>
<![CDATA[Decision Support System for Selecting Tourism Object in Surabaya City Using Simple Additive Weighting Based on Android ]]>
<![CDATA[Putri Agustin Merditawati]]>;
<![CDATA[M Mahaputra Hidayat]]>;
<![CDATA[Rahmawati Febrifyaning Tias]]>
<![CDATA[ JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 3 No. 1 (2018): JEECS (Journal of Electrical Engineering and Computer Sciences) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Bhayangkara ]]>
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DOI: 10.54732/jeecs.v3i1.142
<![CDATA[In this final project will discuss the implementation of the Decision Support System Attractions in Surabaya usingSimple Additive weighting. Issues to be taken is to obtain the best results of 50 attractions in Surabaya based on thelocation of the user to take advantage of the Android-based operating system, to make it more easier for users toaccess these applications. To obtain the value of the distance criterion, the application is using the formulaHaversine. The results of the election decision support system application attractions in Surabaya using SimpleAdditive weighting method is the obtainment of the highest values of attractions based on user location with weightsto each criterion especially distance criterion which has a weight of 0.3.]]>
<![CDATA[Forecasting for Book Classified on A Library by Using Single Exponential Smoothing (case Study : Library of Bhayangkara Surabaya University) ]]>
<![CDATA[Deddy Gita A.P]]>;
<![CDATA[Rifki Fahrial Zainal]]>;
<![CDATA[M Mahaputra Hidayat]]>
<![CDATA[ JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 2 No. 2 (2017): JEECS (Journal of Electrical Engineering and Computer Sciences) ]]>
Publisher : <![CDATA[Fakultas Teknik Universitas Bhayangkara ]]>
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DOI: 10.54732/jeecs.v2i2.152
<![CDATA[To facilitate the addition of library collections of UBHARA libraries, in this study will provide a solution to fieldmanuals based on forecasting using MSE single exponential smoothing formula errors and RMSE errors. Data isforecast from 2012 to 2016, with the value of each field of economics, law, socio-political, and engineering. The datawill be processed through the pre-processing process before preparing the data to be forecast. In the calculationexample, the program uses data in 2012 and 2015, alpha value = 0.1 and is calculated from month 1 to month to 3months so it is estimated to 4. The result of the data obtained is borrowed book which has the highest data isEconomy. Because in every data the number of loan books looks more dominant economic data. In 2015 thecalculation shows the value of MSE error and RMSE error. The error value to determine whether the errorforecasting results is better or not. For 2015 forecast data to be displayed at the value of the error.]]>
