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All Journal Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control JEECS (Journal of Electrical Engineering and Computer Sciences) Jurnal Informatika: Jurnal Pengembangan IT
Syariful Alim
Universitas Bhayangkara Surabaya
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Optimization of Eggtray Raw Material Mixing Process Using Genetic Algorithm Case Study: PT. Sinar Era Box Gresik Adi Kriswanto; Syariful Alim; Fardanto Setyatama
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 4 No. 1 (2019): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v4i1.118

Abstract

The rapid development of technology and the increasingly fierce competition between companies in this globalization era, requires that the company's performance runs professionally and appropriately. PT. Sinar Era Box is one of the avalan paper processing company located in Gresik. The company has several divisions, one of which is industrial packing division that uses paper waste such as egg shelves (eggtray). But the company is still less than optimal in the process of mixing eggtray raw materials. So that in the process and the results of its production sometimes experience delays and does not meet market demand. Genetic algorithm is one of algorithm to find solution of combination optimization problem, that is get optimal solution value to a problem having many solution possibilities. From the results of research that has been done has successfully built an Optimization System Process Mixing Raw Material Eggtray using genetic algorithm that can be used to find optimal value solution done mixing process of eggtray raw materials.
Employee Information Payment System in Pt. Meco Inoxprima Sidoarjo (case Study: PT. Meco Inoxprima) Azis Abdul Ardiansyah; Syariful Alim; Fardanto Setyatama
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 3 No. 2 (2018): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v3i2.132

Abstract

At present, the data and information processing requires speed and accuracy. Based on the knowledgewe are studying, to Obtain it must be supported by an Appropriate and efficient information technology andrelevant to its application. PT. Meco Inoxprima is one of the company's processing equipment and factories thatwill the make the payroll process to its employees and the make payroll report as accountability to themanagement of the company. The process of recording and calculation of Salaries applied by the company isstill less effective Because The process is done only a few through the system that causes the salary process isOften too late. In solving the problem then the authors designed a payroll information system employees. In thisdesign, the author uses the NetBeans IDE 8.2 programming language, with the database format using mysql, andthe results of the reports using iReport NetBeans IDE 8.2. The results of this study Obtained a java-basedpayroll information system employees. Information Obtained from this system are: employee self-Data related topayroll and employee salary slips.
Forecasting the Number of Foreign Tourists Who Visit to East Java Using Monte Carlo Method Syariful Alam; Syariful Alim
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 3 No. 2 (2018): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v3i2.135

Abstract

Indonesia has many islands and there are beautiful inland areas, interesting historical and cultural ruins,beaches, mountains, and more. Especially in the tourism sector is one of the largest industries that are veryinfluential and grow very fast. The advancement of the tourism industry in a region is very dependent on thenumber of tourists who come both domestic and foreign tourists. The large number of foreign tourists that comepush and accelerate economic growth. So that directly leads to an increase in demand for goods and services. Tomeet the needs and demands of tourists, it is necessary to predict the number of visits of foreign tourists. Onemethod that can be used in forecasting is Monte Carlo. From the results of Monte Carlo research can work well,From the stage of the prediction system implementation that has been built using the initial parameter 12 months100x simulation and delta-t = 0.001, then get sigma = 52.2650054, Mu = -0.0398. And the simulation is moreaccurate in predicting the number of foreign tourist visits in East Java, which has a small error value. To get asmaller error value is by reducing or delta-t value.
Decision Support System for New Employee Placement on An Office Department by Using Saw Fuzzy (case Study: CV.Kencana Abadi) Indah Sri Rahayu; Syariful Alim; Rifki Fahrial Zainal
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 2 No. 2 (2017): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v2i2.157

Abstract

CV. KENCANA ABADI is a company engage for sale Castrol Oil in which there are several departments of HRD,accounting, finance & tax (tax), lubricant general manager and IT. During this time to determine the placement ofnew employees to the appropriate department still using the manual system. So needed a system needs that can be adecision support system for placement of new employees to appropriate departments that help the HRD and GA inorder to decide the right position placement for new employees. The model used in this decision support system isFuzzy Multiple Attribute Decision Making (FMADM). This SAW method is chosen because it determines the weightvalue for each attribute, followed by a ranking process that will select the best alternative from a number ofalternatives. Based on the results of testing HRD departments are eligible received Fajar Ferdhina, the test resultsof the Finance department, Accounting, Tax Budi Setyawan eligible, the results of testing IT departments eligibleGatot Nugroho, and the results of testing department Lubrican General Manager eligible Imelda Oktavia F.
Prediction for Total Number of Lab Participants by Fuzzy Time Series Method (case Study: Information Engineering of Bhayangkara Surabaya University ) Febriardi Mahendra; Rifki Fahrial Zainal; Syariful Alim
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 2 No. 2 (2017): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v2i2.158

Abstract

Forecasting is a way to estimate a future value with using past data. One method of forecasting is the fuzzy methodtime series. The purpose of this study is to predict the number of students practitioners follow Department ofInformatics University Bhayangkara Surabaya by using fuzzy method time series. The created app can be used topredict the next 1 year. If the actual data in the year predicted inputted, the application can predict the next yearagain. The prediction error rate is calculated using Mean Absolute Percentage Error (MAPE). From the test resultsin predicting the number of students followers 7 courses Practicum Informatics Engineering Bhayangkara Universityof Surabaya in 2010-2012 using the method proposed in this thesis for practicum PTI obtained MAPE value of20.50%, Practical ANP obtained MAPE value of 0.50%, Network Computer practicum obtained MAPE value at8.50%, practicum Database obtained MAPE value of 0.50%,Managemen Network Computer practicum obtainedMAPE value of 14.50%, practicum PKG obtained MAPE value of 0.84% and practicum PBO obtained MAPE valueof 0.21%. Based on the results of testing the data it can be concluded that the fuzzy time series method when used onmore data many, it will get the accuracy of better and precise forecasting values.
Decision Supplier Package System Using Fuzzy Subjective and Objective Integrated Weights Method (case Study: PT Garudafood Putra Putri Jaya) Muhammad Saiful Irawan; Rifki Fahrial Zainal; Syariful Alim
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 2 No. 1 (2017): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v2i1.165

Abstract

The purchasing department is the part that plays an important and influential role in a company even can be said mostof the business process comes from this section. Because of its nature as a procurement of goods and services then oneof its duties and responsibilities is to choose suppliers of procurement of goods and services for production operationalprocesses within the company. In this case PT Garudafood Putra - Putri Jaya often have difficulty in determining thebest product packaging supplier because of the performance instability of each supplier. For that the company needsa system whose purpose is to help decide the best supplier determination. Decision support system is a computer-basedinformation system that generates various decision alternatives to assist management in handling various structuredor unstructured problems using data or models. There are many methods used in a decision support system such asFuzzy Subjective And Objective Integrated Weights. Fuzzy can solve the problem of uncertainty in determining theweight of each supplier's criteria. The result of the implementation of this decision support system resulted in thesupplier of Mandhara Adhitama Utama as the best supplier. Where the results of calculations with Fuzzy SubjectiveAnd Objective Integrated Weights this supplier obtained the highest value with the number 1.742.
Co-Authors Adi Kriswanto Agus Bintoro Andrew Aldy Wala Arif Arizal Arif Pratama Azis Abdul Ardiansyah Bagus Damas Ardilestian Cindi Novita Sari Dewi Dhanu Budi Pangestu Eko Prasetyo Elta Deka Wilinda Erwin Dwi Riyanto Fajrul Islam Fardanto Setyatama Febriardi Mahendra Hozairi Indah Sri Rahayu M Mahaputra Hidayat M Mahaputra Putra Marcus Tukan Muchammad Faisal Aditya Muhammad Saiful Irawan R Dimas Aditya R Dimas Adityo Rahmawati Febriyaning Tias Rani Pubaningtyas Rani Purbaningtyas Rifki Fahrial Zainal Syariful Alam Wahyu Aziz Prastiyo Wiwiet Herulambang