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Sinkron : Jurnal dan Penelitian Teknik Informatika

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Published by Politeknik Ganesha Medan

ISSN : 2541044X EISSN : 25412019 DOI : 10.33395/sinkron.v8i3.12656

Core Subject : Science,

Computer Science & IT

Scope of SinkrOns Scientific Discussion 1. Machine Learning 2. Cryptography 3. Steganography 4. Digital Image Processing 5. Networking 6. Security 7. Algorithm and Programming 8. Computer Vision 9. Troubleshooting 10. Internet and E-Commerce 11. Artificial Intelligence 12. Data Mining 13. Artificial Neural Network 14. Fuzzy Logic 15. Robotic

Arjuna Subject : Ilmu Komputer (semua kategori) - Visi Komputer dan Pengenalan Pola

Articles 1,196 Documents

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The Implementation of K-Means Algorithm for Cluster Majoring to New Students in SMKN 2 of South Tangerang Munawaroh, Enggar Tyastiwi; Handayani, Rani Irma; Widanengsih, Euis
Sinkron : jurnal dan penelitian teknik informatika Vol. 4 No. 1 (2019): SinkrOn Volume 4 Number 1, October 2019
Publisher : Politeknik Ganesha Medan

The diversity of majors in vocational schools of SMKN 2 South Tangerang makes some students confuse of their choices. Determination of majors is important because it will affect the academic activities of students. The purpose of the right majoring is so that students can learn optimally, and be able to equip themselves with competency skills according to their talents, interests and abilities when entering the workforce. This study applies the Clustering Method with the K-means Algorithm, to help students determine their majors, also helps the school in clustering majors. Determination of these majors is based on 320 student data with attributes of the National Examination during Junior High School (Mathematics, English, Indonesian, and Science), Registration Pathways, and Gender. Calculations that occur as many as 7 iterations with the K-Means Clustering Method, with the final centroid: C1 = 1.55; 4.08; 3.65; 4.06; 3.36; 1.93. C1 represents the Industrial Electronics Engineering Major, with the results of 49 students. C2 = 1; 3.69; 3.26; 2.55; 3.09; 1.96. C2 represents Light Vehicle Engineering majors, with 95 students. C3 = 1,98; 4,09; 3,60; 2,79; 3,083; 1,94. C3 = 1.98; 4.09; 3.60; 2.79; 3,083; 1.94. C3 represents the Accounting major, with 96 students. C4 = 1.18; 3.90; 3.39; 2.18; 2.02; 1.93. C4 represents the Multimedia major, with a total of 44 students And C5 = 1,055; 3.72; 2; 2,389; 2.86; 1.97. C5 represents the Motorcycle Business Engineering major with 36 students.

Analisa Perancangan Fuzzy C-Means dalam Menentukan Dosen Pembimbing Tugas Akhir Siregar, Yunita Sari; Harliana, Putri
Sinkron : jurnal dan penelitian teknik informatika Vol. 3 No. 1 (2018): SinkrOn Volume 3 Nomor 1, Periode Oktober 2018
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (384.876 KB)

Algoritma fuzzy c-means merupakan suatu teknik pengelompokan data dimana keberadaan tiap-tiap titik data dalam suatu cluster ditentukan oleh derajat keanggotaan. fuzzy c-means adalah algoritma pengelompokan yang terawasi, karena pada algoritma fuzzy c-means jumlah cluster yang akan dibentuk perlu diketahui terlebih dahulu. Dalam penelitian ini, model fuzzy c-means akan digunakan untuk menentukan dosen pembimbing tugas akhir sesuai dengan bidang keahliannya. Penelitian ini dilakukan tidak sampai pada tahap pengujian, hanya sebatas perancangan perhitungan algoritma fuzzy c-means. Dari hasil analisis perancangan yang dilakukan dapat diketahui beberapa syarat dalam menentukan dosen pembimbing.

Evaluation of the Satisfaction of Users of Weather Forecast Systems with the Service Quality Method Rianti, Eva; Rizky, Syafrika Deni; Nugraha, Fariz Haris
Sinkron : Jurnal dan Penelitian Teknik Informatika Vol 4 No 2 (2020): SinkrOn Volume 4 Number 2, April 2020
Publisher : Politeknik Ganesha Medan

This research was conducted to test the user's satisfaction of the weather forecast system that had been previously applied to the Teluk Bayur BMKG. The weather forecasting service at the Padang Bayur Padang BMKG has basically fulfilled the objectives of the company. However, over time, evaluation is needed so that the effectiveness of the use of the system can be known, so the system can continue to be developed. To overcome these problems, it is necessary to evaluate the performance of the system. One way is to measure user satisfaction by using Service Quality. This method is one of the techniques used to measure the level of user satisfaction with the system. Based on the results of the measurement of the quality of the weather forecast system, the results are obtained that the system user is satisfied with the system performance, but there are several indicators on the system whose performance is not fully maximized, so that there needs to be improvements and improvements of the system performance.

Information System of Location-Based Advertising Ordering and SMS Targeted (SiPesat) at MDMedia Utami, Lilyani Asri; Suparni, Suparni; Wulan, Anggraeni
Sinkron : jurnal dan penelitian teknik informatika Vol. 4 No. 1 (2019): SinkrOn Volume 4 Number 1, October 2019
Publisher : Politeknik Ganesha Medan

The LBA (Location Based Advertising) and SMS Targeted ordering system on MDMedia is designed to provide facilities for sales and operations in handling campaign orders. The running process still uses the manual method, that is, the user completes the form and sent it via e-mail to the operation for the verification process. This business process is very ineffective given the large number of LBA and SMS Targeted orders that come every day without recording data campaigns. The system design method uses the waterfall method. Program implementation uses PHP language with a database using MySQL. The development of the LBA and SMS Targeted ordering information system is able to provide effective work, because it can be well organized during the ordering process and report submission.

Reverse Engineering Analysis Forensic Malware WEBC2-DIV Waliulu, Raditya Faisal; Iskandar Alam, Teguh Hidayat
Sinkron : jurnal dan penelitian teknik informatika Vol. 3 No. 1 (2018): SinkrOn Volume 3 Nomor 1, Periode Oktober 2018
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1101.03 KB)

At this paper focus on Malicous Software also known as Malware APT1 (Advance Presistent Threat) codename WEBC2-DIV the most variants malware has criteria consists of Virus, Worm, Trojan, Adware, Spyware, Backdoor either Rootkit. Although, malware could avoidance scanning antivirus but reverse engineering could be know how dangerous malware infect computer client. Lately, malware attack as a form espionage (cyberwar) one of the most topic on security internet, because of has massive impact. Forensic malware becomes indicator sucessfull user to relized about malware infect. This research about reverse engineering. A few steps there are scanning, suspected packet in network and analysis of malware behavior and dissambler body malware.

Selection of Outstanding Lecturers with Simple Additive Weighting Method Wati, Embun Fajar; Istikharoh, Istikharoh; Tuslaela, Tuslaela
Sinkron : Jurnal dan Penelitian Teknik Informatika Vol 4 No 2 (2020): SinkrOn Volume 4 Number 2, April 2020
Publisher : Politeknik Ganesha Medan

Lecturers who excel have the right to be selected and get promotions and awards according to their academic performance. However, Sriwijaya State Buddhist College in Tangerang still uses manual assessment so it requires a lot of time to process the assessment data. Therefore, we need a method of calculation of SAW (Simple Additive Weighting) that can be used as a media for performance appraisal of outstanding lecturers who can facilitate an objective assessment. The SAW calculation aims to assist in the calculation of several criteria in the assessment of the right achieving lecturer. This assessment includes performance appraisals that include commitment, integrity, service orientation, discipline, cooperation, and leadership. In addition to the criteria, the assessment also includes the Employee Performance Target (SKP) assessment. The Employee Performance Target is in the form of a total assessment of lecturer performance. Two criteria, namely performance and SKP will be used as a guide in calculating the selection of outstanding lecturers. Samples were taken as many as 20 lecturers at Sriwijaya State Buddhist College in Tangerang. The simple additive weighting method is effectively used in the selection of outstanding lecturers with an assessment limit of more than 0.88. Of the many candidates, there are three lecturers with adequate performance and SKP, with grades 0.922, 0.88, 0.94. So that the highest achieving lecturer with the highest score is 0.94

Analisis Komparasi Genetic Algorithm dan Firefly Algorithm pada Permasalahan Bin Packing Problem Perdana, Adidtya
Sinkron : jurnal dan penelitian teknik informatika Vol. 1 No. 2 (2017): SinkrOn Volume 1 Nomor 2 April 2017
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (440.75 KB)

Bin Packing Problem merupakan permasalahan kombinatorial yang menggambarkan bagaimana sekumpulan objek atau benda dengan ukuran yang berbeda-beda dikemas kedalam suatu wadah dengan ukuran yang telah ditentukan. Dengan ukuran yang berbeda-beda tingkat kesulitan yang dihadapi adalah bagaimana mengoptimalkan jumlah pemakaian wadah untuk mengkemas objek-objek tersebut. Dengan menggunakan metode Heuristic yaitu Genetic Algorithm dan Firefly Algorithm diharapkan mampu menyelesaikan permasalahan Bin Packing Problem. Genetic Algorithm merupakan metode yang diadaptasi dari genetika dan evolusi alami yang didalamnya terdapat parameter-parameter bawaan dari genetika alami. Sedangkan Firefly Algorithm merupakan metode yang diadaptasi dari perilaku kedipan cahaya kunang-kunang pada malam hari. Didalamnya terdapat aturan-aturan yang menyatakan kunang-kunang akan mendekati satu atau lebih cahaya yang paling terang. Pada tulisan ini, penulis akan membahas mengenai komparasi hasil yang diberikan oleh Genetic Algorithm dan Firefly Algorithm dalam menyelesaikan permasalahan Bin Packing Problem satu dimensi. Dengan tulisan ini diharapkan dapat memberikan sumbangan pengetahuan tentang penggunaan metode-metode heuristic dalam menyelesaikan permasalahan kombinatorial khususnya permasalahan NP-Problem.

Diagnosis of Simplex Herpes by Case-Based Reasoning Method Marfalino, Hari; Djesmedi, Dinda; Filresi, Afandi Iddil
Sinkron : jurnal dan penelitian teknik informatika Vol. 4 No. 1 (2019): SinkrOn Volume 4 Number 1, October 2019
Publisher : Politeknik Ganesha Medan

Artificial Intelligence (Artificial Intelligence or AI) is defined as the intelligence shown by an artificial entity. Such systems are generally considered computers. Intelligence is created and incorporated into a machine (computer) so that it can do work as humans can. Artificial Intelligence (Artificial Intelligence or AI) is defined as intelligence shown by an artificial entity. Such systems are generally considered computers. Intelligence is created and incorporated into a machine (computer) so that it can do work like humans can. CBR method is a method used to solve a problem by using previous experience to solve a new problem. This research will discuss about Herpes Simplex, a venereal disease. In implementing this expert system, it is used by families of patients with Herpes Simplex. The goal is that the expert system can assist the patient's family in conducting the initial diagnosis process to determine the symptoms felt by sufferers of Herpes Simplex. And with the existence of this expert system can carry out appropriate treatment by sufferers of Herpes Simplex.

Sistem Informasi Perjalanan Dinas Subdit Pengembangan Permodalan dan Investasi Sudradjat, Adjat; Rokhayati, Erna; Hariyanto, Hariyanto
Sinkron : jurnal dan penelitian teknik informatika Vol. 3 No. 1 (2018): SinkrOn Volume 3 Nomor 1, Periode Oktober 2018
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1150.388 KB)

Official travel is an activity undertaken by employees relating to official duty in accordance with the order within a specified time period. The official travel administration system on the Sub Direktorat Pengembangan Permodalan dan Investasi is still done conventionally, it is done by correspondence from the permit filing stage to the reporting stage of official travel results. This makes the length of the recording flow of official travel administration data, thus stalling from the time already scheduled. This study aims to build a web-based travel information system on the Sub Direktorat Pengembangan Permodalan dan Investasi, as a means of service administrative process of travel official service online. The discussion focuses on the process of applying for official travel, the calculation of the number of days and the cost of official travel, official travel approval and disposition of official travel expenses through a web-based application whose system development methods use the waterfall model. With an online travel information service system, employees can apply for official travel permits more easily, the management can give approval and disposition of the official travel fee payment more quickly. Effectiveness and efficiency can be achieved in the fulfillment of official travel targets, in accordance with predetermined schedule and approved budget.

PENERAPAN DATA MINING PENJUALAN PIZZA DENGAN MENGGUNAKAN METODE APRIORI Rusdiansyah, Rusdiansyah; suharyanti, Nining; Triningsih, Triningsih; Murniyati, Murniyati
Sinkron : Jurnal dan Penelitian Teknik Informatika Vol 4 No 2 (2020): SinkrOn Volume 4 Number 2, April 2020
Publisher : Politeknik Ganesha Medan

Pizza is a processed food originating from Italy and has been spread in various other countries including one of them in Indonesia. Pizza is a processed food that is currently sought after by various groups of people so as to make the pizza business opportunity very profitable, if it is run in a food business. Currently the pizza business has very favorable prospects when compared to other businesses. Moreover, the targeted target can be from all walks of life from children to adults. Pizza sales transactions that produce sales data every day, have not been able to maximize the use of sales data. Sales data is only stored as an archive, so it becomes a pile of data. Therefore the use of data mining is used to solve this problem. A priori algorithm is a data mining method by using minimum support parameters, minimum confidence and will analyze in the period of every month of sales transactions. This study produces data on the results of the process of association rules from the data collection of sales transactions. From the association rules it can be concluded that the pattern of pizza sales, where consumers more often buy Meatzza and Cheese Mania, as evidenced by the results of calculations using Apriori Algorithm and Rapidminer 5.3, with support of 30% and 60% confidence.

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Home Page

OAI Link

Editorial Team

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Reviewer

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Contact Name Irpan Adiputra pardosi

Contact Email irpan@mikroskil.ac.id

Phone +6282251583783

Journal Mail Official sinkron@polgan.ac.id

Editorial Address Jl. Veteran No. 194 Pasar VI Manunggal,

Location Kota medan, Sumatera utara INDONESIA

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Contact Name
Irpan Adiputra pardosi

Contact Email
irpan@mikroskil.ac.id

Phone
+6282251583783

Journal Mail Official
sinkron@polgan.ac.id

Editorial Address
Jl. Veteran No. 194 Pasar VI Manunggal,

Location
Kota medan,

Sumatera utara

INDONESIA