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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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Analisis Sensitivitas Prioritas Kriteria Pada Metode Analytical Hierarchy Process (Kasus Penentuan Pemberian Kredit) Wiguna, I Komang Arya Ganda; Semadi, Ketut Ngurah; Sudipa, I Gede Iwan; Septiawan, I Kadek Jerry
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i1.420

Abstract

The criteria affect a priority decision to find out the most important criteria in the Analytical Hierarchy Process (AHP) seen from the priority weights generated by the calculation. However, the analysis of the importance of priorities is to find out how important changes in the weight of the criteria can change the order results of alternative rankings and how critical the alternative values on the criteria are in influencing the ranking results. This study uses an example of providing credit with six criteria, namely Collateral (C1), Business Status (C2), Total Dependents (C3), Loan Amount (C4), Ability to Pay (C5) and Loan Term (C6). The test results from the three processes of sensitivity analysis with changes in the weight of the criteria show criteria C2 with a sensitivity value of 1.13284, Criterion C1 with a sensitivity value of 0.34874 and Criterion C5 with a sensitivity value of 1.078735. The highest percentage of alternative changes shows criteria C2, C4 and C5 with a percentage of 16.67%
Analisis Sentimen Terhadap Cryptocurrency Berbasis Python TextBlob Menggunakan Algoritma Naïve Bayes Azhar, Rizaldi; Surahman, Adi; Juliane, Christina
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i1.443

Abstract

Cryptocurrency users are now increasing as the market becomes more and more attractive. In 2019 recorded around 139 million account users verified id cryptocurrency. Recently, it was enlivened by the emergence of #crypto on Twitter and had become a world trending topic. This gives rise to many opinions and opinions from twitter users. With so many twitter users' opinions on the hashtag, it is very difficult to know whether positive, negative or neutral sentiments are manual. This requires machine learning to be able to automate labeling, be it positive, neutral or negative sentiments. Machine learning used is by utilizing Python TextBlob. The results of automatic labeling using Python TextBlob from a total of 1032 tweets obtained 632 tweets or 61.24% containing positive sentiments, 296 neutral sentiments or 28.68% tweets and 104 negative sentiments or 10.07%. The test results using the Naïve Bayes algorithm with each testing data and training data are 0.2 and 0.8. From this test, the accuracy value is 71.98%, precision is 83.04%, recall is 60.88% and f1_score is 65.07%.
Analisis Digital Artifak Aplikasi Signal Messenger Pada Sistem Operasi Android dengan metode NIST Nafila, Feryan Lutfie; prayudi, Yudi
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i1.466

Abstract

Message applications have now become a part of today's society. Beside from features, security and privacy are important things for users. Security and privacy are important because some users of this application are worried if the message their send will misused by the company. This concern is heightened after a new rule issued by a popular instant messaging application company where data from the messaging application will be linked to other applications for business purposes, some popular messenger users are worried about their privacy choosing to switch to other messaging applications that are considered more secure and offers privacy. One of the applications of choice is Signal Messenger becouse this application is more secure in maintaining privacy. This is a concern if applications that offer more privacy become a means to commit crimes. Consider that, the research work will focused on conducting forensic testing and analysis of the Android-based Signal Messenger application. The test will carried out on SMA530F and RedmiNote 4 smartphone devices. The scenario that will applied is by installing the Signal Messenger application on each smartphone, then communication between the two smartphones is such as sending text messages, images, and videos. From these activities, the mobile forensics stage using the NIST method such as making acquisitions and then analysis to obtain digital evidence. The test results will be expect for a reference for the authorities and related parties if there is a case using the Signal Messenger application and it is hoped that this research can add to the literature in the field of digital forensics, especially mobile forensics
E-Recruitment Menggunakan Metode Simple Additive Weighting dan Algoritma K-Nearest Neighbor Janubiya, Tasya Khaerani; Andryana, Septi; Sholihati, Ira Diana
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i1.434

Abstract

Along with the increasing number of PT Midi Utama Indonesia Tbk outlets, the company's human resource needs are also increasing. Therefore, the recruitment of new employees is very important to support the company's operations. In order to select prospective new employees to fill various positions needed by the company. Recruitment of new employees has not been carried out professionally. This is because there is no systematic method to assess the suitability of new employees. The application of a decision support system uses a combination of the Simple Additive Weighting (SAW) method and the K-Nearest Neighbor (K-NN) algorithm. This method determines the weight value and ranking results of each candidate. Then, the company conducts the process of selecting candidate data based on the value closest to the old prospective employee to determine the final classification results. In this case, prospective new employees who qualify as employees are based on predetermined criteria. Then this decision support application is built using the PHP programming language and MySQL database. The conclusion in this study by combining the SAW and K-NN methods in the recruitment process is very helpful because the administrative and assessment processes are carried out online. So that decision makers can make choices quickly and accurately.
Implementasi Multilayer Perceptron Untuk Memprediksi Harapan Hidup Pada Pasien Penyakit Kardiovaskular Sabilla, Wilda Imama; Vista, Candra Bella; Hormansyah, Dhebys Suryani
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i1.425

Abstract

Cardiovascular disease is one of the leading causes of death in the world. The risk of death is important to predict to determine treatment or behavior and lifestyle changes in cardiovascular patients. Medical record data of cardiovascular patients can be used as input in predicting life expectancy. This study offers the construction of a life expectancy prediction system for cardiovascular patients. Prediction using multilayer perceptron method by testing various scenarios. In addition, feature selection methods, namely correlation based filter (CBF), linear discriminant analysis (LDA), and principal component analysis (PCA) are applied to obtain relevant features to improve classification performance. Based on the experiments conducted, the average accuracy using CBF and LDA feature selection is 84% and 84.7%, respectively. In the best trial, CBF is able to produce accuracy, precision, recall, and f-measure with value of 91.7% 85% 89.5% and 87.2%. Based on these results, it can be concluded that this prediction system is able to provide fairly accurate results
Perancangan User Experience Aplikasi Lapor Vaksin Kelurahan Menggunakan Metode UCD (User Centered Design) Putra, Gifari Yudiya; Andrianingsih, Andrianingsih; Aldisa, Rima Tamara
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i1.457

Abstract

Urban village is an administrative division of the area under the auspices of the sub-district formed by the sub-district government to assist the implementation of the government in development and society. With the current Covid situation, the kelurahan has an important role to help the government accelerate to implement the program evenly. The problem faced by the community is the lack of information on where and when there is a vaccination schedule. Therefore, in order applications that provide information about vaccines. Based on this problem, the authors conducted testing on 302 respondents using the User Centered Design method and the application of the usability method by prioritizing three aspects with the results, namely learmability, efficiency, and staisfacation. User success rate is 91.10%, time-based efficiency is 0.061794869 and system usability scale is 61.42. the existence of this vaccine report application was built to make it easier for sub-districts to record who has not implemented the vaccine and provide notifications about the nearest mass vaccination program
Segmentasi Pada Plat Kendaraan Dinas dengan Metode Deteksi Tepi Canny, Prewitt, Sobel, & Roberts Saputra, Rizal Adi; Reskal, R; Wahyuni, Frida Mimi
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i1.448

Abstract

In this day and age, technology is getting faster, making knowledge more advanced. Many people conduct research using various methods. With so many methods available, many will increasingly wonder which method to use. The author compared the official license plates using the Canny, Prewitt, Sobel, and Roberts edge detection methods. Segmentation is one of the important steps that can be used in the Number Plate Recognition system. Vehicle number plate segmentation is performed to compare four different edge detection methods, each with advantages and disadvantages. The samples we used were 28 test images consisting of 14 images at a distance of 1 meter and 14 images at a distance of 2 meters. From the test results using the canny, prewitt, sobel and roberts edge detection methods, the number of data tested is 28 images. The result is that the canny edge detection method is more accurate than the Prewitt, Sobel and Roberts edge detection method in segmenting official vehicle license plates.
Sistem Pendukung Keputusan Pemberian Vaksin HPV Untuk Mencegah Kanker Serviks Pada Wanita Dengan Metode TOPSIS Sefrika, S
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i1.439

Abstract

One thing that can be done to prevent cervical cancer in women is to vaccinate against HPV. However, further research needs to be done on the priority scale of vaccine recipients so that the goal of service cancer prevention can be carried out. The aim of the study was to determine the administration of the HPV vaccine to women to prevent cervical cancer. The research method used is the TOPSIS method. TOPSIS uses alternative criteria so as to get ideal results from the various options offered. The results showed a value of 1.22 for criteria C4, a value of 0.83 for criteria C1, a value of 0.53 for criteria C2 and a value of 0.37 for criteria C3. Suggestions for giving vaccines should be carried out according to priorities, namely sexually active women (C4), married women (C1), adolescents (C2) and children (C3).
Analisis Sentimen Identifikasi Opini Terhadap Produk, Layanan dan Kebijakan Perusahaan Menggunakan Algoritma TF-IDF dan SentiStrength Aziz, Abdul; Fauziah, F
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i1.430

Abstract

The need to analyze a product or policy becomes an important thing to measure the level of success. Twitter is currently one of the popular applications used by the public to give their impressions and opinions, both positive, negative and neutral opinions. Diverse public opinion on Twitter can be used as a reference material to get the level of community satisfaction on a product, service or policy. In this study, a sentiment analysis system was created using the TF-IDF and SentiStrength Algorithm. The steps in the research are, firstly, crawling Twitter data using the Twitter API, second preprocessing, thirdly doing spell correction, fourth Word weighting (TF-IDF) and lastly SentiStrength classification, where the results of the classification of tweets have positive, negative or neutral sentiments. In the test data taken using the keyword "child vaccines" as many as 1000 tweets, the results obtained were 54% positive sentiment, 20% negative sentiment and 26% neutral sentiment. Comparison with the same negative data analysis using a different algorithm, namely Naïve Bayes, results in positive sentiment of 55%, 16% and neutral 29%. Decision Tree got 61% positive results, 14% negative and 25% neutral.
Sistem Pendukung Keputusan Seleksi Calon Karyawan Menggunakan Penerapan Metode PROMETHEE II Luthfiah, Eva; Muslih, Muhamad
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 6, No 1 (2022): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v6i1.462

Abstract

This company has a very good quality of imported foreign and domestic products, PT longvin's staff has played an important role in producing excellent quality products, so the company must have a fairly good staff, which can be carried out according to this procedure set by the company. appears in the selection or selection of candidates by the company, because the selection process may not meet the company's level of demand for certain positions, it does not function properly so that the results obtained are inaccurate and not on target. This study aims to determine the PROMETHEE approach that is implemented in a decision support system to determine prospective employee analysis at the PT, this study was conducted in order to obtain the right prospective employee analysis of PT LONGVIN INDONESIA, As expected by HRD and the company using the PROMETHEE II approach, the data collected through interviews with HRD and in accordance with the standards set by the company. The evaluation criteria used are 4: (k1) age, (K2) education, (K3) ability, (K4) domicile and evaluation of alternative candidates for employees as many as 5 people: (P1 ) Selvyana, (P2) Fitni Nugraha, (P3). From this research at PT. Longvin Indonesia, we get the results of the analysis that the PROMETHEE II method can be used to select prospective employees for analysis. of the 3 candidates that have been selected by the company with the alternative fitni nugraha (NET FLOW 0.8) which has the first rank set to be the first alternative, selvyana and has the result (net flow -0.5) as the second alternative. In the 3rd place there is Nenden Najir (NET FLOW -0.4), of the 3 candidates selected by the company, only 3 candidates are taken from the first rank. The application of this method has been tested well at PT Longvinn Indonesia, in order to make it easier to determine the best employees as expected by the company.decision support, PROMETHEE method, alternatives, criteria, PT LONGVIN INDONESIA

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