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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

Author-ID : 3159349

Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Implementation of Genetic Algorithm in Completion Traveling Salesman Problem Study Case of Garuda Express Delivery (GED) Syariful Alim; M Mahaputra Putra; Bagus Damas Ardilestian; Agus Bintoro
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 5 No. 1 (2020): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Indaily distribution activities, GED is a shipping service company. Always associated with couriers as inter mediaries. Where each courier will send a packagetoseveraldifferent places.Surely they(couriers)want to immediately complete their tasks,by findingor determining the path that is traversed in order to shorten the work and return to the office and then make a report. This case is commonly called the Traveling Salesman Problem,which can be solved by several methods. One of them is by optimization of Genetic Algorithms. Genetic Algorithm methods can provide solutions to these problems by providing input (input) fromseveral addresses that they will (courier) distribute. Then the input will be processed with several stages starting from initialization, selection, crossover, mutation and regeneration. The results are then displayed in graphical form which links the shipping addresses. The results of the study, obtained the fastest route with a maximumof 10 points or shipping address,which can be used by the courier in its distribution. In this study, the objective valueisthe value of the length of the road section taken from the Google Map. With termination rules or conditions that state that the smallest and largest fitness values must be the same or 60% of the fitness of the genetic algorithm population shows the greatest fitness. This rule will give the same and accurate results even though the number of generations produced is different.

Sound Calculation Simulation System for Distribution of Chair Parliament Using Hare Quota and Sainte Lague Methods Arif Pratama; Arif Arizal; Syariful Alim
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 4 No. 2 (2019): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

The conversion of the ballot for the division of parliamentary seats has become one of the historical points inthe development of the democratic order in Indonesia. How not, through a plenary session, the DPR RI finally finalizesthe discussion and decision making on the Election Bill proposed by the government. Conversion of votes is one of thecrucial issues to get the word consensus in the House of Representatives, because the method of voting conversionused will greatly determine the acquisition of seats for a political party. For example, if using the quota method, aparty can get 5 seats, but it is not certain if the calculation method uses the Sainte Lague method, it could be that oneparty will get 4 to 6 seats. That is why the voting conversion method is one of the main variables of an electoral system.The method of converting votes is the procedure for calculating the results of elections to determine theacquisition of seats for political parties in representative institutions based on the results of the acquisition of validvotes of each political party participating in the election. The Hare Quota method is characterized by a calculationmethod using the Number of Voters Dividers (BPP) which divides the total number of valid voting votes by the numberof seats allocated to one particular constituency, and always has the remaining choice of votes that requirescalculation at the next stage for the remaining votes of choice / residual the chair is the Sainte Lague method (theremaining votes are voted on).

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

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

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

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

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

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

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.

Smart Malnutrition Detection: Deteksi Dini Kecukupan Gizi Dan Rekomendasi Gizi Harian Syariful Alim; Arif Arizal
Jurnal Informatika: Jurnal Pengembangan IT Vol 3, No 3 (2018): JPIT, September 2018
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v3i3.929

This study aims to develop a mobile-based application, Smart Malnutrition Detection, which can help early detection independently of the nutritional status of each individual and provide recommendations for daily nutritional intake. The system was developed by adopting a prototyping system development model. The system can determine the nutritional status of individuals based on the threshold value of BMI. The system can also calculate individual daily calorie needs based on BMI, EMB and daily physical activity values. The final output of this system is in the form of recommendations for daily nutritional intake in grams. The functional testing results show that all features contained in the Smart Malnutrition Detection application can run well and no errors are found. Validity testing results show that the output of the system is in accordance with the rules set by the Ministry of Health of the Republic of Indonesia. Starting from calculating the BMI value, the value of daily calorie needs to the size of the menu consumption in grams. So that it can be concluded that this application is very useful to support early detection of individual malnutrition conditions. The system is also able to provide recommendations for daily nutritional intake so that it can help improve diet and healthy lifestyle.

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

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