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Sinkron : Jurnal dan Penelitian Teknik Informatika
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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Analisis Perbandingan Penggunaan Metric Cost dan Bandwidth Pada Routing Protocol OSPF Sulaiman, Oris Krianto; Ihwani, Mohamad
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 (562.867 KB)

Abstract

Dalam sebuah jaringan berskala besar dibutuhkan router yang yang saling terhubung untuk menghubungkan network yang berbeda pada setiap lokasi nya, proses untuk menghubungkan tiap network yang berbeda ini disebut dengan routing. Routing tersebut mempunyai protocol-protocol pilihan yang setiap protocol ini mempunyai kelebihan dan kekurangan, Open Shortest Path First (OSPF) merupakan salah satu routing protocol yang termasuk ke dalam dynamic routing protocol yang efisien karna menggunakan metric yang dapat diatur sesuai dengan kebutuhan, pada penelitian ini akan di analisis protocol routing OSPF dengan menggunakan metric berupa cost dan bandwidth. Perbandingan ini nantinya akan membahas bagaimana metric OSPF yang menggunakan cost dan metric OSPF dengan menggunakan bandwidth serta gabungan keduanya, OSPF akan mencari jalur terbaik berdasarkan metric tersebut.
C.45 Algorithm for Classification of Causes of Landslides Handrianto, Yopi; Farhan, Muhammad
Sinkron : jurnal dan penelitian teknik informatika Vol. 4 No. 1 (2019): SinkrOn Volume 4 Number 1, October 2019
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (505.529 KB) | DOI: 10.33395/sinkron.v4i1.10154

Abstract

Abstract— Natural disasters are disasters caused by natural events and cannot be avoided including earthquakes, tsunamis, volcanic eruptions, floods, hurricanes, droughts, and landslides. One of the natural disasters that often occurs in Indonesia is a landslide disaster. One of the regencies in West Java Province that had experienced a landslide was a Purwakarta district area. Landslide is one type of mass or rock mass movement, or a mixture of both, down or out of the slope due to the disruption of the stability of the soil or rocks making up the slope. With a data mining approach that uses the decision tree method or C4.5 Algorithm, a classification model will be made where the model functions as a classification of the causes of landslides in Purwakarta district.
Perancangan Sistem Pakar untuk Mendiagnosa Penyakit Toksoplasma pada Wanita Menggunakan Metode Bayes dengan Bahasa Pemrograman PHP dan Database MySQL Putra, Teri Ade; Purnama, Pradani Ayu Widya
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 (809.861 KB)

Abstract

Pada penelitian ini penulis menyusun dan membahas tentang penerapan teknologi informasi dalam sistem Sistem Pakar berbasis web yang mampu mendiagnosa Toksoplasma. Penelitian ini menggunakan Metode Bayes berdasarkan jawaban dari pertanyaan yang diberikan kepada user. Hasil yang ditampilkan berupa kondisi user terkait dengan Toksoplasma .hasil juga dilengkapi dengan penjelasan penyakit dan solusi yang ditampilkandalam bentuk website menggunkanan pemograman PHP dan database MySQL. Dalam membangun sistem ini, penulis melakukan beberapa tahapan, dimulai dengan penelitian dan pengumpulan data, Dilanjutkan dengan pengolahan data dan perancangan aplikasi yang akan dibangun. Kemudian pembuatan program hingga tahap uji coba dan implementasi aplikasi yang didahului dengan pembuatan laporannya.kesimpulan dalam penelitian ini adalah Bahasa pemograman PHP dan MySQL terbukti mampu diimplementasikan dalam membuat sistem pakar untuk mendiagnosa toksoplasma. Metode Bayes terbukti mampu melakukan penelusuran dengan memberikan nilai kepastian.
Sistem Pakar Mendeteksi Masalah Mesin Inkmaker Dan Mixer Dengan Forward Chaining Nurhayati, M. Sinta; Hidayat, Rachmat
Sinkron : Jurnal dan Penelitian Teknik Informatika Vol 4 No 2 (2020): SinkrOn Volume 4 Number 2, April 2020
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (311.43 KB) | DOI: 10.33395/sinkron.v4i2.10521

Abstract

Industrial growth is characterized by the ability to progress in the field of production both in the type of industry, increasing the quality and volume of production activities. Machine is one of the factors of production which determines the smoothness of a production process. In order for the production process to run efficiently, a certain part of the company that is needed to support the maintenance and repair of the machine is called Maintenance Engineering. PT. Segwerk Ind is a multinational company engaged in printing inks for the packaging industry with imported raw materials such as dyes, varnish. The problem of how to maintain the condition of the machine so that it is always prime when production activities take place, Trouble machines are indeed one of the factors that can make a company go bankrupt, such as the production process is hampered, a long machine down time, so that customers will replace their suppliers because they do not want to risk business they are stunted. Therefore, for the success factor of a company's production process, it is required to have appropriate preventive and corrective maintenance activities as well as the problem of lack of competent human resources, therefore we need tools that can solve these problems. The results displayed by making expert system software show that the ink machine problem solving can be known based on the historical machine so that the downtime faced by PT. Segwerk Ind can be pressed as little as possible against machines in the ink industry such as ink printing machines.
Disaster Information on Mobile Application in Indonesia Using Sequential Search Algorithms Based On Android Bachtiar, Dimas Agung; Pahlevi, Omar; Santoso, Tri
Sinkron : jurnal dan penelitian teknik informatika Vol. 4 No. 1 (2019): SinkrOn Volume 4 Number 1, October 2019
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (214.773 KB) | DOI: 10.33395/sinkron.v4i1.10147

Abstract

Indonesia has 28 regions in the Republic of Indonesia Archipelago which are declared as areas prone to tectonic earthquakes, volcanoes and tsunamis. Among these are NAD, North Sumatra, West Sumatra, Bengkulu, Lampung, Banten, Central Java, and DIY in the south, East Java in the south, Bali, NTB, and NTT. Based on these facts, it can give an idea that the South East Java Province in particular has a high level of vulnerability when compared to other islands, when viewed from the total population density. Disasters can occur anytime and anywhere so people need to increase awareness, awareness, and preparedness, which is most at risk during the emergency response phase, where in that phase the situation is very conducive and the increasing hoaxes about data and information on disasters that spread in the community, along with the development of technological advancements, we need a mobile application that can provide the latest data and information routinely in the community. Referring to the design of mobile application designs that have been designed, in this study using the sequential algorithm method. With the sequential algorithm in this design, users can easily use this Android-based disaster information application, just by entering the keywords in the year of the disaster event, the location will be searched. The purpose of making this mobile application is to be able to provide data and information about disasters in Indonesia to all elements of society effectively and efficiently.
Prediksi Stok Obat di RSU HKBP Balige Menggunakan Adaptive Neuro-Fuzzy Inference System Dharma, Arie Satia; Tampubolon, Lily Andayani; Purba, Daniel Somanta
Sinkron : jurnal dan penelitian teknik informatika Vol. 5 No. 1 (2020): Article Research, October 2020
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v5i1.10529

Abstract

Currently the purchases of drugs at Instalasi Farmasi RSU (IFRS) HKBP Balige are based on the examination of the amount of drugs usage. The purchases of drugs based on the examination of the amount of drugs usage cause frequent unplanned drugs purchases that must be hastened (cito) and purchases to other pharmacies. The purchases of cito and purchases to other pharmacies will inflict a financial loss to the patients, because when IFRS makes drugs purchases of cito or to other pharmacies, the cost of the drugs will be more expensive. Therefore, in this research, a prediction of drugs stock in IFRS HKBP Balige using Adaptive Neuro Fuzzy Inference System (ANFIS) will be carried out. ANFIS is a combination of Least Square Estimator (LSE) and Error Back Propagation (EBP) algorithms. ANFIS consists of forward pass and the backward pass learning. The sample data used to predict drugs stock in this research is data of drugs sales at the IFRS HKBP Balige from 2013 to 2015. From the results of drugs stock prediction research with ANFIS, obtained that number of errors of ANFIS model is 5.52%. Based on MAPE accuracy level evaluation, number of errors have an excellent rate so that it can be concluded that the predicted results of the drugs stock are good.
Sentiment Analysis Of Full Day School Policy Comment Using Naïve Bayes Classifier Algorithm Al Fath, Miftahul Kahfi; Arini, Arini; Hakiem, Nashrul
Sinkron : jurnal dan penelitian teknik informatika Vol. 5 No. 1 (2020): Article Research, October 2020
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v5i1.10564

Abstract

Sentiment analysis is an important and emerging research topic today. Sentiment analysis is done to see opinion or tendency of opinion to a problem or object by someone, whether it tends to have a negative or positive view. The main purpose of this study is to find out public sentiment on Full Day school's policy comment from Facebook Page of Kemendikbud RI and to find out the performance of the Naïve Bayes Classifier Algorithm. In this study, the authors used the Naïve Bayes Classifier algorithm with trigram and quad ram character feature selection with two different training data models and labeling of training data using Lexicon Based method in the classification of public sentiment toward the Full day school policy. The result of this research shows that public negative sentiment toward Full Day School policy is more than positive or neutral sentiment. The highest accuracy value is the Naïve Bayes Classifier algorithm with trigram feature selection of 300 data training models with a value of 80%. The greater of training data and feature selection used on the Naïve Bayes Classifier Algorithm affected the accurate result.
Prediction of Netizen Tweets Using Random Forest, Decision Tree, Naïve Bayes, and Ensemble Algorithm Rianto, Yan; Kuntoro, Antonius Yadi
Sinkron : jurnal dan penelitian teknik informatika Vol. 5 No. 1 (2020): Article Research, October 2020
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v5i1.10565

Abstract

The current Governor of DKI Jakarta, even though he has been elected since 2017 is always interesting to talk about or even comment on. Comments that appear come from the media directly or through social media. Twitter has become one of the social media that is often used as a media to comment on elected governors and can even become a trending topic on Twitter social media. Netizens who comment are also varied, some are always Tweeting criticism, some are commenting Positively, and some are only re-Tweeting. In this research, a prediction of whether active Netizens will tend to always lead to Positive or Negative comments will be carried out in this study. Model algorithms used are Decision Tree, Naïve Bayes, Random Forest, and also Ensemble. Twitter data that is processed must go through preprocessing first before proceeding using Rapidminer. In trials using Rapidminer conducted in four trials by dividing into two parts, namely testing data and training data. Comparisons made are 10% testing data: 90% Training data, then 20% testing data: 80% training data, then 30% testing data: 70% training data, and the last is 35% testing data: 65% training data. The average Accuracy for the Decision Tree algorithm is 93.15%, while for the Naïve Bayes algorithm the Accuracy is 91.55%, then for the Random Forest algorithm is 93.41, and the last is the Ensemble algorithm with an Accuracy of 93, 42%. here.
Web-Based Desktop Support Trouble Ticket System Design In PT. Mnc Mediacom Cable Shulton, Besus Maulana; Zuraidah, Eva
Sinkron : jurnal dan penelitian teknik informatika Vol. 5 No. 1 (2020): Article Research, October 2020
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v5i1.10570

Abstract

In recent years the existence of web-based information systems in Indonesia has increasingly felt its presence in supporting daily activities, both economic and non-economic. Manually processing data certainly cannot keep up with the need for fast, precise, and accurate presentation of information. Currently, manual data processing is considered less effective for providing reports and information for companies that are developing and have diverse transactions. The importance of Trouble Ticket Desktop Support is to make equalization of workloads that are fair and balanced besides that it is also a tool for assessment on each a technician. So with this, the author tries to examine the application of web-based technology that can be applied to problems that exist in one activity so that it can integrate the activities concerned. Ticket Desktop Support as a process to collect data from various existing sources and Desktop Support is required to be active monitor and treat user needs. With Trouble Ticket Desktop Support that is well integrated so that accessing data on Desktop Support can be done easily and quickly in order to measure the level of problems and access reports by the Head of IT Operations, as well as problems can be handled well within the scope of problem boundaries that produce the right solution to manage resources the power available, with this application it will be clear what problems are faced by the customer.
An Aplikasi Sistem Pakar Diagnosa Penyakit Mata Pada Manusia Menggunakan Metode Certainty Factor Berbasis Web Wijaya, Bayu Angga; Tanjung, Juliansyah Putra
Sinkron : jurnal dan penelitian teknik informatika Vol. 5 No. 1 (2020): Article Research, October 2020
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v5i1.10579

Abstract

Eye is the important senses. If the eye is disrupted then ignore it, it will disturb. In fact, many people delay to checked eye diseases that them suffered, due to the lack of knowledge society, the cost is quite expensive and the imbalance between patients and doctors so that should be queued if will check the eye health. It is necessary for the expert system that can diagnose eye diseases, so a people can checking their eye diseases suffered without have to go to the doctors. This expert system is based on web with the programming language PHP and MySQL database. In the process of withdrawal conclusion, system using the certainty factors method that use a value to assume degree of confidence from an expert to a data. Expert system provides results in the form of the possibility of illness suffered, the value of the percentage of beliefs from the illness and the treatment solution based on the value of confidence that given and system is able to know the type of eye disease experienced by the user based on the symptoms chosen by the user. So, it can help the people to know the eye disease their suffered and the action can be done faster.

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