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J-SAKTI (Jurnal Sains Komputer dan Informatika)
Published by Sekolah Tinggi Ilmu Komputer Tunas Bangsa
ISSN : 25489771     EISSN : 25497200     DOI : http://dx.doi.org/10.30645/j-sakti
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Energy
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.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 499 Documents
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Implementasi Algoritma Klasterisasi K-Medoids untuk Segmentasi Pengguna E-Ujian.Com Putra, Anggyi Trisnawan
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.528

Abstract

User behaviour management and analysis is very important in business. A good marketing strategy needs to be done so that the loyalty of old users is maintained. This can be initiated by segmenting users so that a good marketing strategy can be formulated. Customer segmentation can be done with the help of one of the data mining methods,  which is clustering. In this study, k-medoids algorithm is used to cluster e-ujian.com users based on the behavioral data of each user. The first step will be analyzing data attributes that can be used. Next, the clustering process was carried out with the experimentally determined value of k. Finally, the cluster results will be evaluated using the Davies Bouldin Index (DBI) to determine the best number of clusters. The results showed that the value of k = 4 became the optimal number of clusters with a DBI value of 3,017.
Perancangan Potensi Pemilihan Bibit Tanaman Obat Keluarga Dan Tanaman Hias Dengan Metode AHP Guna Menentukan Minat Masyarakat Putri, Goldiffa Novinda; Mariana, Novita
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.496

Abstract

Plants are one of the living things that can grow anywhere, whether it's in the home environment, yard or garden, and even though the forest. Characteristics of plants are distinguished by type, namely, Trees, Medicinal Plants, Ornamental Plants, and Grass. Toga plant is a plant that functions for the treatment of diseases. While ornamental plants are plants that function to create beauty and attractiveness. The many benefits of plants, this further increases public interest. However, when people want to plant plants but do not understand what plants are suitable, a decision support system is made to assist in determining the types of plants that are suitable and at the same time determine the level of interest of the society based on five criteria, namely price, treatment method, quality, weather, and soil conditions. By using the calculation of the Analytical Hierarchy Process (AHP) method, the calculation is carried out by determining the pairwise comparison table, normalizing the pairwise comparison matrix and calculating the weight of each criterion. The results for the Toga plant, namely Pandan, were in first place with the highest weight value of 0.337692572 while for Ornamental plants, Aglonema was in first place with the highest weight value of 0.225819915.
Pendekatan Thread Untuk Reduksi Delay Pada Perangkat Lunak Kendali Ventilator Lawalata, Sanga; Lareno, Bambang; Sugiarto, Hendrik S.
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.519

Abstract

The ventilator must be able to supply oxygen according to the duration and amount required, not more or less. To produce the expected oxygen levels, air pressure and air flow, all these stages and processes are controlled electronically through software. However, in its development, the software to control ventilator often encounter delay problems. One of them is related to the work of the alarm. Therefore, futher investigation is needed to reduce the delay. In this research, thread concept approach is proposed.  In this approach, the synchronous process is pushed to an asynchronous thread with a non-blocking process, in which the main running process is not blocked. As a result, the delay time decreased significantly, by 98.24% on the average value
Rancang Bangun Aplikasi E-Learning Berbasis Progressive Web Apps Untuk Menunjang Pembelajaran Online dengan Metode Prototyping Hardianty, Dini Agnia; Yustiana, Indra; Somantri, S
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.487

Abstract

Covid-19 pandemic has an impact on the Indonesian education system which makes the learning process from offline to online. This is what prompted Hayyatan Thayyibah High School to create an E-Learning application to support the online learning process, apart from being used for online learning, the Hayyatan Thayyibah High School E-learning application was also used to share information and take attendance for reading the Qur'an (Tallaqi). The E-Learning application was built using the Prototyping method, from the results of usability testing, an average score of 80% showed that the application could be used well by students and the teacher.
Model Identifikasi Penyakit Pada Tumbuhan Padi Berbasiskan DenseNet Pailus, Muhammad; Fudholi, Dhomas Hatta; Hidayat, Syarif
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.478

Abstract

Errors in identifying diseases in rice plants can cause the potential for crop failure to increase by 18-80%, according to data from the Indonesian Ministry of Agriculture. This could be due to the lack of expertise in agriculture when compared to the amount of land in Indonesia. Recent research in the field of deep learning using neural networks has achieved remarkable improvements. Research on the identification of plant diseases in rice plants, using the MobileNet, NasNet and SqueezeNet architecture that supports mobile devices has been carried out. The experimental results show that the proposed architecture can achieve an accuracy of 93.3%. Motivated by previous research, this research will use DenseNet architecture (Dense Convolutional Network) to detect diseases in rice plants. The dataset used is relatively small, between 100-200 photos for each disease. To cover the lack of dataset augmentation is done to the dataset. The final results obtained are quite satisfactory with an accuracy of 96% with a Weighted Average of 97%.
Sistem Informasi Sentra Pelayanan Kepolisian Terpadu (SPKT) Pada Polsek Lubuk Raja Perdana, Meilyana Winda; Alfresi, Aminullah Imal; Ma’ruf, Muhammad Irvan
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.510

Abstract

The Lubuk Raja Police and the Resort Police have functions, one of which is the Integrated Police Service Center (SPKT) whose role is to provide public services in the form of reporting from the community. In receiving reports from the public as well as when processing data, the SPKT Lubuk Raja Police officers still do it manually, such as when the officers make reports still using Microsoft Office, this can result in the accumulation of report files and make typing repeated every time there is a report from the public. In addition, there is still a manual for giving the register number and the process of recording the reporting data. Then, through a study at the Lubuk Raja Police at the Integrated Police Service Center (SPKT), the author thought about designing and creating a website-based information system. The system development method that the author uses in this study is the Waterfall Model which includes the steps of analyzing system requirements for code writing system design, testing, implementation, and maintenance. The "Software" software used in the creation of an integrated police service center information system (SPKT), such as: XAMPP (a "localhost" web server), MySQL (a SQL database management), Sublime text (as an editor, where we write program code) ). The final point of this research is the creation of an integrated police center information system (SPKT) to replace reporting, processing, and recording data, which previously used manual methods. With this, it will make it easier for members of the police to provide services to the community in the OKU police area
Pemberian Beasiswa Kepada Mahasiswa dengan Metode Preference Selection Index (PSI) Hutagalung, Juniar; Boy, Ahmad Fitri; Jaya, Hendra; Zulkarnain, Iskandar
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.406

Abstract

Stikes Santa Elisabeth is an institution in the field of education, especially health. Stikes Santa Elisabeth has many students who come from various regions where many students have difficulty paying tuition due to economic problems. Therefore, many agencies or companies cooperate with Stikes Santa Elisabeth to provide assistance to underprivileged students such as love, single tuition fees (UKT), and the Eka Tjita Foundation. The provision of assistance certainly has rules that must be met by students. Because of the many rules or criteria that must be checked to determine which students will receive assistance, it can often result in the wrong choice as there is a limit to the number of recipients. To overcome these problems, a Decision Support System (DSS) is needed in determining the provision of assistance to students. By applying the PSI method, Stikes Santa Elisabeth can be considered to provide information about the requirements that must be met in receiving assistance. Thus helping Stikes Santa Elisabeth to determine the provision of assistance to students. This study aims to analyze the problems that occur in determining the priority of providing assistance to Stikes Santa Elisabeth students by applying the PSI method based on alternative data and predetermined criteria. Based on the ranking table above, the student who is most prioritized to get a scholarship is Irene Permatasari with a preference selection index value of 0.8765. So it can be concluded that the application of the PSI method results in a ranking so that it can help Stikes Santa Elisabeth to choose students who are the most prioritized in receiving scholarships.
Analisis Marketplace Shopee Untuk Memprediksi Penjualan dengan Algoritma Regresi Linier Syakir, Yusuf; Hermanto, Teguh Iman; Ramadhan, Yudhi Raymond
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.501

Abstract

Many methods can be used to predict sales, one of which is the processing of sales data using the method of data mining with a linear regression algorithm. The data in this study used is data on sales of the Ariqa Collection Boutique in the Shopee marketplace starting from May 2020 to April 2022. By using a linear regression algorithm, the Ariqa Collection Boutique can predict sales estimates based on total visitors and total orders. The data mining method used is SEMMA (Sample, Explore, Modify, Model, Assess). With the Rapidminer Studio 9.10 tools the test results Mean Square Error (MSE) value is 5.172.628.212.404, Root Mean Square Error (RMSE) is 2.274.341, and Mean Absolute Percentage Error (MAPE) is 4.34%. Based on the MAPE value obtained, the accuracy of the linear regression algorithm in predicting sales of Ariqa Collection Boutique in the Shopee marketplace provides high accuracy
Analisis Sentimen Ulasan Terkait UNESCO Global Geopark Di Google Maps dengan Algoritma Naive Bayes Utami, Dian Siti; Erfina, Adhitia; Mupaat, M
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.524

Abstract

Ciletuh Geopark is part of the UNESCO Global Geopark Network. This study will analyze a tourist review of the Ciletuh Pelabuhan Ratu Geopark based on reviews on Google Maps. The author believes that customer reviews should be taken into consideration because they allow travelers to share their experiences. Reviews from tourists who have visited geoparks are the most important thing because these reviews can be used as information to be used as data. Because the Naïve Bayesian Algorithm is thought to have a high enough level of accuracy to identify the Unesco Global Geopark (UGG) Ciletuh Pelabuhan Ratu tourist destination that is often frequented based on visitor ratings on Google Maps, then this study utilizes it. Successively the highest accuracy values from this study were Palangpang with an accuracy value of 98.61%, Cisolok Geyser tourist attraction 94.44%, Ujung Genteng tourist attraction 98.36%, Cikaso tourist attraction 98.36%, Citepus tourist attraction 97 ,22%, Puncak Manic attractions 96.92%, Sodong attractions 95.83%, Cipanarikan attractions 95.01%, Teletubis Hill attractions 94.48%, and finally Cimarinjung attractions 94.44%.
Penerapan Algoritma C.45 Untuk Menentukan Tingkat Kepuasan Pelanggan Kartu Telkomsel Prabayar Sikumbang, Erma Delima; Ariani, Fattya; Handayani, Tiwi; Ramanda, Kresna; Sukmana, Sulaeman Hadi; Supriyatna, Adi
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 2 (2022): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i2.492

Abstract

Telkomsel is an operator mobile phone company that provides services for mobile phone users. The mobile phone Operator creates a small SIM card for the customer by means of having to be inserted into each phone to get access to the service. One of the most used mobile operators and belongs to the largest category in Indonesia is Telkomsel. In This study implemented algorithm method C. 45 in deciding customer satisfaction against the use of prepaid Telkomsel cards. This type of research is to implement data mining concept by involving as many as 100 user data of prepaid Telkomsel card through the dissemination of questionnaires. There is an attribute in each variable that affects customer satisfaction including: price, promotion, product quality and service quality. Based on manual calculation results and with the help of the RapidMiner studio 9.7 software is known to be the root is a variable quality service with the highest gain value of 0.266396957 and results classification accuracy value of 0.9655 so that belongs to the classification category is very good

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