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INDONESIA
J-SAKTI (Jurnal Sains Komputer dan Informatika)
Published by STIKOM Tunas Pematang Siantar
ISSN : 25489771     EISSN : 25497200     DOI : -
Core Subject : Science,
Computer Science & IT
JSAKTI adalah jurnal yang diterbitkan oleh LPPM STIKOM Tunas Bangsa Pematangsiantar yang bertujuan untuk mewadahi penelitian di bidang Manajemen Informatika. JSAKTI (Jurnal Sains Komputer dan Informatika) adalah wadah informasi berupa hasil penelitian, studi kepustakaan, gagasan, aplikasi teori dan kajian analisis kritis dibidang Ilmu Komputer terbit 2 kali setahun.
Arjuna Subject : -
Articles 499 Documents
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Perhitungan Bandwith Dan Spesifikasi Client Server Local Meeting Untuk Mengatasi Lonjakan Trafic Yulianton, Heribertus; Priambodo, Ilyas; Listiyono, Hersatoto
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 1 (2023): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i1.594

Abstract

The Pandemic period had an impact on the meeting system at dr. Kariadi Hospital where internal meetings which are usually held face-to-face are now required through virtual media. To overcome the excessive use of the internet, a local meeting server was created using the Linux Debian Buster Operating System and the OpenMeetings Application System. This study aims to find local meeting server resources that suit the needs to be comfortable to use by users. To achieve the  convenience  and  its application  in  using  the  meeting  server  application  required  resources.  Multiple Linear Regression predicts the amount of bandwidth by using computer resource usage data on the number of application users. By creating a local meeting server and calculating server resources, it helps to expedite and make it easier to carry out meetings that must be held in different places.
Perancangan UI/UX dengan Metode Design Thinking Pada Shoekuna Shoe Laundry Berbasis Mobile Aulia, Sarah; Syahidin, Yuda
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 1 (2023): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i1.585

Abstract

Shoe laundry services began to develop and became popular in various big cities in Indonesia in 2014. The laundry workers took an opportunity to see the community's enthusiasm for their interest in caring for shoes. Business people see shoe owners as busy, so they don't have much time to take care of their shoes. At the same time, people generally need shoes for daily activities such as the world, school, or work. With the increasing number of shoe washing service businesses, actors in this field are competing to attract potential consumers with the latest innovations constantly being developed. Therefore, business people in this field continue to make sales to turn potential consumers into consumers of their services by using technological innovations to make them even better. This study will design the shoe washing android application's user interface and user experience to help run this business. The method used in this research uses Design Thinking. Based on the results of the interviews, a prototype design was made and then tested by user respondents and gave a score of 6 out of 7 with the conclusion that respondents were satisfied and helped by this solution design.
Pemanfaatan Geographic Information System dalam Pemetaan Sekolah SMA Di Surabaya Barat Rahmawati, Lailia; Pamungkas, Kris Maulana; Winarti, W
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 1 (2023): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i1.576

Abstract

The development of education in today's era has improved quite well, although there are still many who have not been able to keep up with the course of education that is being developed now. Technological development is also progressing rapidly. WebGIS is an important thing that is really needed in this digitalization era, it functions as information, especially in this discussion in the field of education. On current school information, the barrier is trying to eliminate the social gap in the form of a favorite school. This research was developed to make it easier for new students to graduate from junior high school to high school education and also make all schools equal without such a thing as a favorite school. with their address. This research uses the Web and Map which will be able to find out the distribution of schools according to the zoning area. The way this WebGIS works is that the user inputs the appropriate name and address into the web, then the system will provide information in the form of zoning for the closest school to the user's distance, which is expected that students will not choose the wrong school on the zoning path which allows low chances of entering the school.
Automatic Short Answer Assessment Using The Cosine Similarity Method Bahri, Samsu; Praseptiawan, Mugi; Yulita, Winda
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 1 (2023): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i1.608

Abstract

In the learning process, most exams to assess learning achievement have been carried out by providing questions in the form of short answers or essay questions. The variety of answers given by students makes a teacher have to focus on reading them. This process of assigning grades is difficult to guarantee quality if done manually. Moreover, each class is mastered by a different teacher, which can cause inequality in the grades obtained by students due to the influence of differences in teacher experience. Therefore the automated answer assessment research was developed. The automatic short answer assessment is designed to automatically assess and evaluate students' answers based on a trained set of answer documents.  The automated grading system uses the cosine similarity method to determine the degree of similarity of a student's answer to the teacher's answer. While the word weighting used is the Term Frequency-Inverse Document Frequency (TF-IDF) method.  The data used is a question totaling 5 questions with each question answered by 30 students, while the students' answers are assessed by experts to determine the real value. This study was evaluated by Mean Absolute Error (MAE) with the resulting value of 0.22.
Penerapan Finite State Automata Pada Transaksi Via Mobile Banking (Aplikasi BRImo) Talahaturuson, Januar C.; Pakereng, Magdalena A. Ineke
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 1 (2023): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i1.599

Abstract

The purpose of this study is the application of Finite State Automata on the BRImo mobile banking application. The result of this study is a simulation of the mobile banking application on the BRImo application related to the application of Finite State Automata which is used in the transaction process via the BRImo mobile banking application. The results show that Finite State Automata can be used as the basic logic to process the BRImo application mobile banking transaction which divides each system into state forms.
Deteksi Jenis Rempah-Rempah Menggunakan Metode Convolutional Neural Network Secara Real Time Sanjaya, Mellynia; Nurraharjo, Eddy
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 1 (2023): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i1.567

Abstract

Spices are one of the products of natural wealth owned by Indonesia which has been recognized by the world. Spices are part of plants that have benefits not only as a complement to spices in cooking, but are also used to boost the immune system of living things. Due to the many types of spices that exist in Indonesia, a system is needed to help the community, especially millennial children, to know the various types of spices correctly and clearly. The spice detection process is carried out using an accuracy calculation on the system using a dataset in the form of 1800 images and 12 types of spices. The classification process for spices is generated using the Convolutional Neural Network (CNN) method with the tensorflow module used for the training and testing process of data. The results of the accuracy experiment on spices resulted in an accuracy value of recognizing the type of spice of 60%.
Perbandingan Algoritma Naïve Bayes Dan K-Nearest Neighbor pada Analisis Sentimen Pembukaan Pariwisata Di Masa Pandemi Covid 19 Era, Defrimont; Andryana, Septi; Rubhasy, Albaar
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 1 (2023): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i1.590

Abstract

Covid-19 is a trending topic of conversation on social media today. one of the trending topics on social media in 2021 in the midst of the covid 19 pandemic related to tourism destinations that will reopen amid the increase in daily cases of covid 19 in a number of areas of Indonesia in particular. The implementation of the government's policy of opening tourist destinations has drawn various arguments or opinions among the public. especially social media users by providing arguments or tweets related to opinions through social media such as Instagram, Twitter, and Facebook. In this study, an analysis of the sentiments of the Indonesian people, especially social media users, was carried out regarding government policies related to the opening of tourism in the midst of the COVID-19 pandemic using the Naive Bayes and K-Nearest Neighbor (KNN) algorithms and knowing the comparison of the performance of the two algorithms. This dataset used is taken through various social media platforms with a data crawling process. The dataset used is a sql file. the number of datasets used to process data processing in the public sentiment analysis application about the opinion of opening tourism in the midst of the covid 19 pandemic on twitter as many as 570 tweets using 12 hashtags namely #Desabisa, #desawisata, #DiIndonesiaAja, #EraNewNormal and #LabuanBajo #MulaiDariDesa #PPKMDiPerpanjang #SobatParekraf #PlacesTourism #Bali Tours #Banyuwangi Tours #Jogja Tours. In the research conducted, the implementation of the results of the application of the Naive Bayes algorithm and the K-Nearest Neighbor (KNN) algorithm in the sentiment analysis of the opening of tourism destinations during the covid-19 pandemic was successfully carried out by producing the highest Naive Bayes accuracy rate of 75.53%, precision the highest positive is 71%, the highest negative precision is 25%, the highest positive recall is 99% and the highest negative recall is 14%. As for the K-Nearest Neighbor (KNN) algorithm, the highest accuracy rate is 48.66%, the highest positive precision is 69%, the highest negative precision is 14%, the highest positive recall is 69% and the highest negative recall is 28%. The level of accuracy in the comparison of the two algorithms shows that the Naive Bayes algorithm has the best performance with an accuracy level compared to the K-Nearest Neighbor algorithm in analyzing the sentiments of social media users about the opening of tourism during the COVID-19 pandemic.
Perancangan SPK Kelayakan Pinjaman Koperasi Karyawan Perum Jasa Tirta Karya Bhakti Raharja dengan Metode MAUT Rivaldy, Noval; Irmayanti, Dede; Defriani, Meriska
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 1 (2023): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i1.581

Abstract

Globalization that is happening is causing increasingly sharp free competition among economic actors, including cooperatives. Cooperatives until now continue to grow and become the mainstay of the community to turn the wheels of the economy during this pandemic and also experience various obstacles to run their business. However, under current conditions, in addition to very fast technological developments, cooperatives are also being pressured by the covid-19 pandemic, which causes cooperatives to be able to optimize digitalization. The loan eligibility decision support system applies the multi attribute utility theory (MAUT) method with 4 criteria or conditions that become the basis for decisions in the Perum Jasa Tirta Cooperative (PJTII) Karya Bhakti Raharja development model using the Extreme Programing method starting from the planning stage to the testing stage, using php programming language Data Flow Diagram (DFD) modeling. Loan Eligibility Decision Support System in PJT II Cooperatives to facilitate cooperative employees in determining loans to PJT II Employees. With this it is necessary to take advantage of a technological development, where how to make it easier for employees to make decisions from the assessment of the Multi Attribute Utility Theory (MAUT) method, because subjective assessments can be modeled and supported quickly. 
Sistem Keamanan Jaringan Komputer Berbasis Teknik Intrusion Detection System (IDS) Untuk Mendeteksi Serangan Distrubuted Denial Of Service (DDOS) Fauzi, Raihan; Muhyidin, Yusuf; Singasatia, Dayan
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 1 (2023): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i1.572

Abstract

Madrasah Aliyah Purwakarta State. is a public high school located in the Purwakarta Regency, Purwakarta District, all activities at this school have used computer networks to support the activities in this school. Madrasah Aliyah Purwakarta State. at this time it has not implemented a computer network security system, because there is no computer network security system implemented at Madrasah Aliyah Negeri Purwakarta, it is still vulnerable to attacks including Ping Attack, Network Scanning and DDOS. Network Development Lyfe Cycle (NDLC) is a method for planning and managing the process of developing a computer network, the NDLC method has 5 stages, namely analysis, design, simulation prototyping, implementation, monitoring, and management. Madrasah Aliyah Purwakarta State. The result of this research is a computer network security system design based on Intrusion Detection System (IDS) using snort and portsentry to detect an attack that enters the computer network of Madrasah Aliyah Negeri Purwakarta such as Ping icmp, nmap (port scan) and DDOS, with get a notification of an attack that enters the computer network, the attack can be prevented by implementing portsentry so that attacks such as Ping icmp, nmap and DDOS will not be able to enter the computer network.
Peramalan Jumlah Penumpang Travel dengan Metode Triple Exponential Smoothing (Kasus Day Trans Tour dan Travel Kota Semarang) Winarsih, Dewi; Nugroho, Adi
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 1 (2023): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i1.604

Abstract

Tour and travel services are currently quite influential in the community, because they help people travel. because sometimes passengers can get on or off without warning. So that tour and travel entrepreneurs can anticipate the decline in passengers by introducing marketing, city destination routes, tour packages, cars, drivers, and other services for the convenience of passengers. Triple Exponential Smoothing is a forecasting method that has the capacity to manage seasonal elements and trends that are simultaneously present in the time series data. Normalization Results of the SSE Method SEE Values 1198921.0732 MSE 47956.8429 MAPE 218.9905. Triple Exponential Smoothing Using the parameters of the α, β, and γ methods that are best for the TES method on RStudio, an accuracy value consisting of SSE, MSE, and MAPE will be generated. Mar 666.0032 Apr 367.7103 May 377.8220. The MAPE approach yields the largest percentage of accurate predictions.

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