J-SAKTI (Jurnal Sains Komputer dan Informatika)
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.
Articles
499 Documents
Pengembangan Sistem Informasi Badan Pusat Statistik Kabupaten Kuningan Berbasis Android Dengan Metode Prototype
Bacsafra, Marcel Agustine;
Kusumawardani, Dwi Mustika;
Darmansah, D
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar
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DOI: 10.30645/j-sakti.v6i1.453
The internet is one proof that information technology is growing. The use of the internet today is increasingly showing trend a positive One of the impacts felt in the development of information technology is a non-departmental government agency of the Central Bureau of Statistics (BPS). BPS is a non-departmental government agency in Indonesia whose main function is to provide statistical data and information. Included in the document analysis results of the BPS data needs survey in 2020, which concludes that consumers in the BPS Integrated Statistics Service (PST) tend to use services that provide data and statistical information in digital or softcopy. This trend is also reinforced by the percentage of the main facility to obtain the largest BPS data is website (41.88%). Therefore, the Kuningan Regency BPS needs to optimize the media for disseminating statistical data and information, one form of innovation that can be done is making an android-based publication application. The application is named Kuningan Dalam Angka Statistik (KUDAMAS). In the development of this application software the prototype and the functionality test uses black box testing. Based on the results of the tests carried out using Black Box testing, the results obtained were successful for all testing of each feature in the application and it can be concluded that the KUDAMAS application has been running according to its function
Klasifikasi Penyakit Kulit Menggunakan Algoritma Naïve Bayes Berdasarkan Tekstur Warna Berbasis Android
Furqan, Mhd.;
Nasution, Yusuf Ramadhan;
Fadillah, Rini
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar
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DOI: 10.30645/j-sakti.v6i1.421
The Skin is an important part of the human body which is used to protect organs from external disturbances (radiation, heat, sharp objects, etc.). the surface of the skin is divided into several textures, namely soft, rough, and supple. The skin also stores fat and is supple. The skin also stores fat and nerves which help in the process of human senses, the skin can also experience bacterial interference that can cause disease, the easiest thing to identify affected skin is through visuals (images). This research is to implement the naive bayes algorithma to classify android based skin diseases in helping the identification process of skin diseases based on visual form (color). Based on the results of the study that the classification of skin diseases (eczema, acne, chicken pox, etc). can be indentified through the naive bayes method and can obtain an accuracy of 75%.
Penerapan Metode Waterfall dalam Sistem Informasi Cuti Kepegawaian Madrasah Istiqlal
Badrul, Mohammad;
Janah, Luthfiyah Nuur
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar
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DOI: 10.30645/j-sakti.v6i1.444
Human resources in a company organization are very important to support the progress and quality of the company in achieving its goals. One of the keys to the success of an organization is employees, who have an important role in an organization, therefore human resource management in an organization is carried out properly in order to be able to achieve the shared goals of the organization. The administrative process for employee data that is currently running at Madrasah Istiqlal Jakarta is still being done manually, one of which is applying for employee leave. This manual system has many shortcomings, namely the use of a long time, incomplete reports required, and more prone to errors. The process of collecting personnel data manually will cause the available data to be incomplete or missing and take a long time. Therefore, a personnel information system is needed to overcome these problems. A good Personnel System will produce precise and accurate data so that it greatly influences the course of decision making. The waterfall method has a high speed of adaptation, can be made quickly and also because the waterfall method is suitable for software products whose needs are clear at the beginning, so there are minimal errors. The result of this research is a personnel information system that can assist employees in receiving information with an integrated database
Perancangan Aplikasi Text To Speech Untuk Informasi Gempa Bumi
Supriyanto, Joko;
Fadlil, Abdul;
Sunardi, S
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar
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DOI: 10.30645/j-sakti.v6i1.467
Indonesia is one of the countries with the potential of large earthquakes because it is passed by three active plates, namely Indo-Australian, Eurasian, and Pacific. Earthquake information is currently still in text form, so the blind have difficulty getting earthquake information. It is needed to develop the earthquake information applications from text to sound. The source of earthquake information is taken from an XML file that has been provided by BMKG. The application development uses the Waterfall method. The testing uses a blackbox with the boundary value analysis. The results of this study is text to speech application for earthquake information. Application testing using blackbox with the boundary value analysis for six different scenarios were successfully 100% running well without any errors
Perbandingan Performa Algoritma Md5 Dan Sha-256 Dalam Membangkitkan Identitas File
Saputra, Imam;
Nasution, Surya Darma
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar
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DOI: 10.30645/j-sakti.v6i1.435
The ease of accessing the internet makes it very easy for humans to share various kinds of files. These files are very easy to download, so it is not uncommon for these files to become duplicates or the same files are stored on personal storage media. This of course will take up personal storage space owned. To avoid this, the steps that can be taken are to provide the identity of each file that represents the contents of the file. So that it can be known whether the contents of the file are the same or not. To generate the identity of a file, a special algorithm is needed that can represent the contents of the file. Algorithms that can be used to generate file identities are algorithms that fall into the hash function category. But in its development there are many algorithms in hash functions that can be used to generate file identities. The algorithms that are often used are the MD5 algorithm and the SHA-256 algorithm. The MD5 and SHA-256 algorithms have different algorithm structures so they have different performance when generating the identity of a file. By comparing the performance between the MD5 and SHA-256 algorithms, we will get an algorithm that has better performance when used to generate file identities.
Metode Analytical Hierarchy Process Dalam Menentukan Supplier WE Bakery
Agustina, Bella;
Ramanda, Kresna;
Rusman, Arief;
Sikumbang, Erma Delima;
Sukmana, Sulaeman Hadi
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar
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DOI: 10.30645/j-sakti.v6i1.426
Determining suppliers is important to support company performance, because determining the wrong supplier can cause harm to the company. Then the Analytical Hierarchy Process method is considered appropriate and appropriate for research related to problems in determining or selecting suppliers. By determining the right and optimal supplier using this AHP method, the company can select and evaluate suppliers so that the company can determine the appropriate criteria and alternative suppliers. Then the results are obtained that Arasari is considered the most appropriate to be a supplier with the highest weight gain priority of 0.427 or 42.7%, the second Lavanda Brownies of 0.291 or 29.1% and the third is Durian Orchid of 0.282 or 28.2%. While the results obtained through calculations using expert choice, explained that Arasari remained in first place with a value of 45.9% then Lavanda Brownies with a value of 29.7% and there was only a slight difference with Durian Orchid who obtained a percentage value of 24 4%. So based on these results, it can be seen that there is no difference in the order of global priorities for the total ranking goals obtained between manual data processing with the help of expert choice
Klasifikasi Kebijakan Level Ppkm Berdasarkan Data Penyebaran Covid-19 Dengan Pendekatan Fuzzy Rough Set
Marbun, Murni;
Sulindawaty, S;
Barus, Agnes P;
Hutajulu, Kezia Dewi C H
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar
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DOI: 10.30645/j-sakti.v6i1.458
The government's policy in suppressing the transmission of COVID-19 is to limit people's mobility. The policy called Pemberlakukan Pembatasan Kegiatan Masyarakat (PPKM) with different levels for each district or city. The COVID-19 pandemic has not ended so far, so we need a method that can assist government in suppressing the spread of COVID-19 by classifying PPKM level policies in districts or cities that are adjusted according to the assessment level of each districts or cities. This study aims to classify PPKM levels with the fuzzy rough set method approach. The determination of the PPKM level policy based on epidemiological parameters, namely the number of positive cases of Covid-19 for 100,000 population, number of cases treated for 100,000 population and number of deaths for 100,000 population. The study began by inputting the COVID-19 spread dataset, pre-processing the data, and classified the data using the fuzzy rough set method. The stages of the fuzzy rough set method began with transforming the data into fuzzy form in the form of a table called an information system and partitioning the set of objects based on the similarity of the attributes contained in the decision system table into disjoint subsets according to 3 decision class labels, namely level 1, level 2 and level 3. The output rules consist of certain rules where the degree of fuzzy membership in the fuzzy equivalence class is the future effectiveness for each certain rules, and possible rules. Classification with fuzzy rough set approach obtains output of 58 rules consisting of 6 certain rules and 52 possible rules. The classification results show that PPKM level policies can be classified using the fuzzy rough set approach
Perancangan Sistem Informasi Pengelolaan Data Pedagang Menggunakan Metode Prototype pada Pasar Wage
Darmansah, D;
Raswini, R
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar
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DOI: 10.30645/j-sakti.v6i1.449
The Regional Technical Implementation Unit (UPTD) of Pasar Wage in the process of managing trader data is still considered ineffective, because all data processing, especially in the personnel section, is still done manually where in the process of collecting data on traders and managing market retribution, so that they often face problems in their operational activities. This research is designed as a trader data management information system. The system design method used in this report is a prototype model which includes user needs analysis, interface design and website display testing. The research report on designing a website-based trader data management information system using tools or work aids, namely figma. Implementation and testing of the website-based merchant data management information system design describes the specification of website user needs, interface implementation and testing using the User Acceptance Test (UAT). The existence of a computerized website-based trader data management information system design makes it easier for the Wage Market UPTD managers, namely admins, employees and traders to manage and obtain data in the Wage market more quickly and accurately.
Rekonsiliasi Data Keuangan Pemerintah Pasca Penerapan Single Database Sakti Menggunakan Finite State Automata
Khuluq, Anjahul;
Gata, Windu;
Putra, Jordy Lasmana;
Novitasari, Hafifah Bella
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar
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DOI: 10.30645/j-sakti.v6i1.440
Reconciliation of government financial data is a process of pairing data between work unit data and State General Treasurer data to be able to produce accountable and credible central government financial reports. The current reconciliation process is carried out by uploading data by the work unit to the e-rekon application, which can be replaced by an automatic process when implementing the single SAKTI database. The use of Finite State Automata in providing validation when the reconciliation process is carried out has proven to be able to help make the Government Financial Data Reconciliation Process effective and efficient
Document Management System Menggunakan Kombinasi Algoritma ROT13 dan Algoritma String Matching
Setiawan, Feri;
Fauziah, F
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar
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DOI: 10.30645/j-sakti.v6i1.431
Technology for document management is really need because it can improve performance both in storage, search and document security. Document management in a manual way can waste time in finding required documents and requiring a lot of space for hardcopy document storage. This study uses a string matching algorithm combined with ROT13 algorithm. String matching algorithm is used to find a file name in database, the file name in database has been encrypted for example plaintext “Kabel Ladder” into chipertext “Xnory Ynqqre”. The steps of string matching algorithm combined with ROT13 algorithm in this study are, word pattern is encrypted and then matched with existing data in database and then a string search in performed using string matching algorithm and produces the data sought. In both algorithm, time and number of matches were tested between pattern and data to show performance of two algorithms using 200 data until 500 data. The result of testing 200 data for search word Tower takes 0.00513 sec and matches 65x, 300 data for search word Tower takes 0.00716 sec and matches 164x, 400 data for search word Tower takes 0.01372 sec and matches 262x and 500 data for search word Tower takes 0.02233 sec and matches 360x. From the test result in this study, the researchers concluded that string matching algorithm combined with ROT13 algoritm, the more data, more time it will take, even though it is still relatively small