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Contact Name
Agus Perdana Windarto
Contact Email
agus.perdana@amiktunasbangsa.ac.id
Phone
+6282273233495
Journal Mail Official
jsaktiamiktunasbangsa@gmail.com
Editorial Address
Sekretariat J-SAKTI (Jurnal Sains Komputer dan Informatika) Jln. Jendral Sudirman Blok A No. 1/2/3 Kota Pematang Siantar, Sumatera Utara 21127 Telepon: (0622) 2243
Location
Kota pematangsiantar,
Sumatera utara
INDONESIA
J-SAKTI (Jurnal Sains Komputer dan Informatika)
ISSN : 25489771     EISSN : 25497200     DOI : http://dx.doi.org/10.30645/j-sakti
J-SAKTI adalah jurnal yang diterbitkan oleh LPPM STIKOM Tunas Bangsa yang berfokus di bidang Manajemen Informatika. Pengiriman artikel tidak dipungut biaya, kemudian artikel yang diterima akan diterbitkan secara online dan dapat diakses secara gratis. Topik dari J-SAKTI adalah sebagai berikut (namun tidak terbatas pada topik berikut) : Artificial Intelegence, Digital Signal Processing, Human Computer Interaction, IT Governance, Networking Technology, Optical Communication Technology, New Media Technology, Information Search Engine, Multimedia, Computer Vision, Information System, Business Intelligence, Information Retrieval, Intelligent System, Distributed Computing System, Mobile Processing, Computer Network Security, Natural Language Processing, Business Process, Cognitive Systems, Software Engineering, Programming Methodology and Paradigm, Data Engineering, Information Management, Knowledge Based Management System, Game Technology.
Articles 499 Documents
Perancangan Sistem Informasi Orangtua/Wali Mahasiswa Berbasis Web Pada Universitas Victory Sorong Manuhutu, Melda Agnes; Rajagukguk, Iriene Surya
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 2 (2020): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v4i2.225

Abstract

The University of Victory Sorong realizes that there are limitations in controlling every student's development as a whole; it takes synergy with parents so that both parties can show their presence together. This parent/students’ guardian information system that was built makes it easier for parents to monitor or control the academic and non-academic activities of students of the University of Victory Sorong. Parents can help the Head of the Study Program to discipline students in improving student learning. Parents can also consult with the head of the study program regarding their child's development. In this information system, too, parents can see the student's grade as the final result of their learning efforts for one semester. This research was built using the SDLC method with a waterfall. Data were collected using documentation, observation, and interviews. This web-based parent/students’ guardian information system allows each parent/students’ guardian user to easily access the desired information. Some of the information that can be accessed is the Study Plan Card, Study Result Card, Student’s Transcript, and can consult with the Head of the Study Program through the Chatting feature. Programming language using PHP and MySQL database. The system is built in a user-friendly manner so that the system is equipped with an interface that is easy to understand and attractive.
Analisis Sentimen Dampak Covid-19 Terhadap Pembatalan Keberangkatan Ibadah Haji Pada Tahun 2020 Kartika, Mila; Saepudin, Sudin; Gustian, Dudih
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 2 (2021): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i2.392

Abstract

The government through the Ministry of Religious Affairs canceled the departure of pilgrims from Indonesia in 2020. The decision was taken, considering the Covid-19 pandemic still plagues almost all parts of the world, including Indonesia and Saudi Arabia. "Saudi Arabia has never opened access for pilgrims from any country. As a result, the government could no longer have enough time to make its main preparations in the service and protection of Jemaah. Based on this fact, the government decided not to send pilgrims in 2020. Judging from the charts and data recorded from April to December 2020 there was a sharp increase. There were 743,198 confirmed cases of infection, 109,963 cases treated, 22,138 cases died and 611,091 were declared cured. This is a consideration of the government in taking the decision to lower the letter of cancellation of hajj departure in 2020. To retrieve this sentiment data the author took the data methodology from Twitter by using the data retrieval step using orange anaconda tools with the amount of data obtained as many as 670 tweets that have 3 variables that are positive by 37%, negative 12% and neutral 51%. To analyze sentiment data from Twitter the author used 3 classification methods and produced an accuracy value of KnN of 0.507, Random forest of 0.531 and Naïve bayes of 0.532. Based on the results of the analysis conducted by the author that the response or comments of the public to the delay / cancellation of the hajj departure was reaped a neutral response and support the government's move. Of the 3 methods used, the most superior method is the Naïve bayes method because it uses probability and statistics.
Sentiment Masyarakat Terhadap Virus COVID-19 Pada Instagram Menggunakan Algoritma Naïve Bayes Classifier Hendriani, Ade; Sianturi, Susy Katarina
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 1 (2021): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i1.336

Abstract

Corona virus or commonly referred to as COVID-19 is a type of disease that is very contagious and its spread is very fast and terrible that has reached the entire world, its spread is taking place and Indonesia is one of the countries affected by it, this disease is not only terrorizing human visions and threatening very quickly and killing human and animal lives in a very significant time tens of millions of people have died because of it causing its own sentiment based on the opinions contained in Instagram, this research was conducted to determine the impact of the covid-19 virus outbreak on Indonesian society by conducting a classification process using the naïve Bayes classifier algorithm and the results of this study show the percentage in the level of seeing the accuracy of data testing so that it can be concluded that the use of this algorithm is very appropriate in the process of classifying a data.
Analisis Laju Pembelajaran dalam Mengklasifikasi Data Wine Menggunakan Algoritma Backpropagation Hardinata, Jaya Tata; Okprana, Harly; Windarto, Agus Perdana; Saputra, Widodo
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 3, No 2 (2019): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v3i2.161

Abstract

Backpropagation is an artificial neural network that has the architecture in conducting training and determining the right parameters to produce the correct output of similar but not the same input. One of the parameters that influences the determination of bacpropagation architecture is the rate of learning, where if the value of the learning rate is too high then the network architecture becomes unstable otherwise if the value of the learning rate is too low the network architecture converges and takes a long time in training network architecture. This research data is secondary data sourced from UCI Data Mechine Learning. The best network architecture in this study is 13-10-3, with different learning rates ranging from 0.01, 0.03, 0.06, 0.01, 0.13, 0.16, 0.2, 0.23, 0.026, 0.3, 0.35, 0.4, 0.45, 0.5, 0.55, 0.6, 0.65, 0.7, 0.75, 0.8, 0.9. From the 21 different learning rate values in the 13-10-3 network architecture, it is found that the level of learning rate is very important to get the right and fast network architecture. This can be seen in experiments with a learning rate of 0.65 can produce a better level of accuracy compared to a learning rate smaller than 0.65.
Pengaruh Penerapan Aplikasi Pengolahan Data Barang Habis Pakai Terhadap Kinerja Pelaporan Pengurus Barang Pengguna Di RSUD HAMS Kisaran Sinaga, Hommy Dorthy Ellyany; Andriyani, Suci
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 3, No 2 (2019): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v3i2.145

Abstract

This research is to implement an application of single use goods (BHP) data processing which is a computerized system to facilitate of data processing that linked to input, output, inventory card, incoming report, output report, semester and annual recapitulation, and to determine the influence of its implement to the reporting performance. The research method is an explanatory method. By adopting the user acceptance model, this research is formulating the hypothethical that state there is a significance influence of the implemented single use goods (BHP) data processing application to the reporting performance of Pengurus Barang Pengguna. This method is envolving the synthesising the operational variable, data collecting and observation, stating the hypothesis, creating and testing the instrument, distributed the questionnaire to all 7 persons. Based on validity and reliability testing, then the instrument is tested as valid and reliable. The implemented of single used goods (BHP) data processing application is described to be 3 operational variables, ie. the application complexity variable, application use, features and its design variable and application quality variable. The result of hypothesis testing shows that the application complexity and application quality variable are influencing the reporting performance, but the application use, features and its design shows no influence to the reporting performance.
Pengefisiensian Penyaluran Barang dan Rute Pengiriman Ekspedisi JNE dengan Aplikasi Graf S, Richasanty Septima; Zulfa, Ira
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 1 (2021): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i1.302

Abstract

Nowadays, online shopping trend is very popular and it is common in the era of advanced technology like now. This affects large companies in Indonesia to provide good, effective and efficient shipping services for customer satisfaction. Each delivery service has its own stages of distribution of goods in the process of sending goods from the sender's hand to the recipient's hand. In addition to the stages of distribution of goods, there are other things that must be considered by shipping service providers, namely effective and timely delivery routes. Graph is a science that can be implemented in the stages of distribution of goods and efficiency of delivery routes. The approach used in making freight routes is the Hamilton trajectory with a circular model.
Penerapan Jaringan Saraf Tiruan Dalam Memprediksi Indikator Utama Ekonomi Dunia Damanik, Alan Boy Sandy; Bimantoro, Agung
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 2, No 2 (2018): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v2i2.80

Abstract

Economics is one of the most important aspects in the world. Economics greatly determines the progress and development of a country. However, there are still many countries with low economic levels. Therefore the aim of this study is to predict and determine the level of the main indicators of the world economy as one of the anticipatory steps to further increase the level of the country's economy. World Economic Indicator Data to be used is sourced from Bloomberg and Bank Indonesia. To find out further developments, it is necessary to research the existing data. The algorithm used is Backpropagatian Neural Network. Data analysis was carried out using artificial neural network method using Matlab R2011b software. The study uses 5 architectural models. The best network architecture produced is 3-43-1 with an accuracy rate of 86% and the Mean Squared Error (MSE) value is 1.336593.
Pengembangan Sistem Informasi Penunjang Pelayanan Hotel (Studi Kasus: Hotel XYZ) Umar, Rusydi; Nugrahantoro, Achmad; Periyanto, Ari; Nugroho, Aji; Kharismajati, Gema; Susanto, Dwi
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 2 (2020): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v4i2.216

Abstract

The hotel is a building that provides lodging services, restaurants, and other services that provide commercial for visitors. The use of hotel services that are still manual will be handled on the effectiveness of excellent service in hotel management. Computer technology support can be a solution in optimizing administrative activities, improving information, and making decisions. Hotel XYZ as one that still uses a manual transaction system. Then it is necessary to integrate data for each transaction using an interconnected database. Steps in the development of information systems need to be considered in improving the services of each hotel. The technique by collecting data to produce literature studies is an appropriate step to analyze the old system while developing the expected system. The results will be made on the design of the system for the database so that they are interconnected and the interface is easily understood by the user so that it facilitates the process of system implementation. After doing research, the black box test with a value of 100% with the results as expected is done. Comparison of the old system can be made by Microsoft Excel with interconnected databases presenting reports in printed form. It can meet the level of user satisfaction with a value of 95.3% of the results of the questionnaire from the five respondents involved.
Pembangunan Sistem Informasi Penggajian Karyawan Dengan Menggunakan Model Rapid Application Development Hidayati, Nur
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 1 (2021): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i1.327

Abstract

Payroll is a form of compensation given to employees as a form of appreciation for their work. For this reason, an organization or company must be able to manage its employee agreements properly and correctly, because it is related to employee welfare. At this time, there are still many organizations that do not have a good payroll information system. This can cause problems such as errors in making a salary recap caused because the data processing is still done manually. Besides that, making a payroll report takes a long time, because the payroll data documentation is still not neatly arranged. With this problem, the existing payroll information system is less effective. Therefore, it is necessary to develop a better payroll information system, with the aim of helping solve these problems. To achieve this goal, it is necessary to have an appropriate model in system development such as the use of the Rapid Application Development (RAD) model. With this RAD model, it will be clearer the stages that must be carried out in system development, so as to produce a payroll program application that can help solve existing problems
Sistem Pendukung Keputusan Penentuan Ranking Kenaikan Gaji Staff Dan Karyawan Poningsih, Poningsih
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 3, No 2 (2019): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v3i2.136

Abstract

Currently AMIK and STIKOM Tunas Bangsa have approximately 100 employees (staff and employees). Each employee has a different and varied salary. Every year, AMIK and STIKOM Tunas Bangsa management provide salary increases to their employees. But the number of increases is very diverse. This decision support system will later provide recommendations to management in the form of employee performance ranking. There are several factors used in this decision support system, including work period, education and performance. The method used is Multi-objective Optimization on The Base of Ratio Analysis (MOORA). Where the advantages of MOORA are having a good level of selectivity because it can determine the objectives of the conflicting criteria.