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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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Komparasi Analisis Bukti Digital Tiktok Lite Menggunakan Metode National Institute of Justice Rian Mailangkay, Imanuel Gilbert; Hadi, Abdul; Zakharia, Elia
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.v6i2.407

Abstract

With the development of communication and information technology today, there are many applications to send information to each other or share information. Tiktok Lite or commonly called the light version of Tiktok is the same application as Tiktok but is more friendly for users who have low smartphone specifications. With all the features that TikTok Lite has, such as the feature of creating, editing, and sharing short video clips complete with filters and accompanied by music as support and sending text messages or chatting. This can have a negative impact on the use of Tiktok Lite because it can provide opportunities to commit crimes, especially cyberbullying. In overcoming this cyberbullying act, digital forensic analysis is needed on the Tiktok Lite application. The method used is the National Institute of Justice (NIJ), with the flow of Identification, Collection, Examination, Analysis, and Reporting. Based on the research results, the MOBILedit Forensics Express tool gets a percentage of 0% in the search for digital chat evidence and account data on the Tiktok Lite application on smartphones that have not been and have been rooted, while the Belkasoft Evidence Center and Magnet Axiom tools get a 100% percent in the search for digital evidence. chat and account data on the Tiktok Lite application on a smartphone that has been rooted.
Analisis Sentimen Menggunakan Metode Naive Bayes Berbasis Particle Swarm Optimization Terhadap Pelaksanaan Program Merdeka Belajar Kampus Merdeka Undamayanti, Erina; Hermanto, Teguh Iman; Kaniawulan, Ismi
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.v6i2.502

Abstract

During the MBKM program running at several universities in Indonesia, several problems occurred, namely the implementation of the curriculum that did not have a reference, the disbursement of pocket money given was not on schedule, the policies of each partner were different, and the existence of the covid-19 pandemic. The way to find out public opinion or opinion about the MBKM program is to summarize public opinion on Twitter social media. This study aims to analyze the results of the classification of twitter users opinions on the MBKM program in Indonesia through sentiment analysis using the Naive Bayes method based on Particle Swarm Optimization. The research metodology carried out in this study was through the stages of data crawling, text preprocessing, feature extraction, classification, and evaluation. The data used in this study are 428 data. The results of the research in the form of sentiment analysis obtained are positive sentiments of 61.92%, it can be concluded that the MBKM program can be well received by the Twitter user community, especially students. Although there are some negative sentiments that appear around 38.08%. The results of this study can be used as a reference for the MBKM policy development team, especially the Kemendikbud POKJA team, because this program can provide benefits and experiences for students while the results of this research can be used as evaluation material for the team in the future to be even better
Sistem Informasi Trouble Ticket (SIKET) Untuk Layanan Gangguan Jaringan Berbasis Web Wijaya, Sapta Musta; Mustika, Wida Prima; Sanjaya, Andi
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.v6i2.525

Abstract

Network service radio trunking PT.Handal Exa Teknologi often also gets various reports and complaints from users, currently users are still making reports and complaints using email and through group chat applications such as whats app , in the process of reporting this disturbance the helpdesk team is still doing manual recording. The purpose of this study is to create a web-based information system facility to process data on service interruption reports and be able to solve problems, can provide convenience for users to report service disruptions by using the website and maintain company service to users to be able to respond quickly in processing the handling of service disturbances, from the purpose of this research to produce a trouble ticket web-based ticket that can assist companies in data processing various reports and complaints of disturbances so that service to users becomes maximal and effective. The research method used in this study is based on qualitative methods. While the development of the system uses the waterfall model. The software used are:  Windows Pro Home 10, Visual studio code, and Xampp.Information System Trouble Ticket -based Web  at PT. Reliable Exa Technology that improves service to customers in terms of responding quickly to complaints that want to be reported and can be a medium for information on data disturbances that have occurred
Optimasi Analisis Sentimen Pada Twitter Olshop Tokopedia Menggunakan Textmining Dengan Algoritma Naïve Bayes & Adaboost Hartati, H; Hermawan, Deni; Akhsanal, M.; Wahyudi, Zailani; Ariyanto, Angga; Saputra, Dedi Dwi
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.v6i2.493

Abstract

Sentiment Analysis or commonly called Opinion Mining is the process of understanding, extracting and processing textual data automatically to obtain sentiment information contained in a sentence of opinion or opinion on a problem or object by someone, whether it tends to have a positive or negative opinion. This study aims to classify tweet data into 2 classifications, namely positive and negative. In this study, Indonesian text is used on Twitter social media in the form of tweets related to Tokopedia. Public opinion contained in the tweet can be used as material to find out whether tweets on Twitter, especially on Tokopedia, are classified as positive or negative. The data used consists of 1,000 tweet data. This dataset comes from the tweets of Tokopedia customers written on the Tokopedia twitter account. In text mining techniques, “transform case”, “tokenize”, “token filter by length”, “stemming” are used to build classifications. Gataframework is used to help during the preprocessing and cleansing process. RapidMiner is used to help create sentiment analysis in comparing three different classification methods, on Tokopedia's tweet data. The method used to compare in this research is the Naïve Bayes algorithm and the Naïve Bayes algorithm which is added with the Synthetic Minority Over-sampling Technique (SMOTE) feature and the Naïve Bayes algorithm is added with the Synthetic Minority Over-sampling Technique (SMOTE) feature which is optimized with Adboost. . The Naïve Bayes algorithm added with the Synthetic Minority Over-sampling Technique (SMOTE) feature, which was optimized with Adboost, got the best score. With 94.95% accuracy, 90.86% precision, 100.00% recall and 0.950 AUC
Pengamanan Data Pasien Di UPT. Puskesmas Pujon Kalimantan Tengah Menggunakan Kriptografi Super Enkripsi Falensky, Lee Valdho; Pakereng, Magdalena A. Ineke
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.v6i2.484

Abstract

Along with the development of information and communication technology nowaday, data security in exchanging information is increasingly important. One technique that can be used to secure the data is super encryption cryptography. Super encryption is a cryptographic technique that combines two or more algorithms. In this research, the encryption decryption process data text of patient biodata of Technical Implementation Unit Pujon Health Center Central Kalimantan was conducted using three cryptography, namely Columnar Transposition, Vigenere Cipher and Monoalphabetic. The result of this research is that the super encryption that has been built can encode (encrypt) and return (decrypt) messages in text. data text of patient biodata of Technical Implementation Unit Pujon Health Center Central Kalimantan tested, before decryption encryption and after decryption encryption did not change the number of characters. The number of characters does not affect the speed of the process because the number of characters used can produce the same processing speed
Perancangan Batik Papua Motif Asei dengan Pattern Komputer Grafis Saputro, Agung Dwi; Kuddi, Bobi Frans
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.v6i2.516

Abstract

Papua is a province with a diverse culture ranging in language, customs, and traditions. Khombouw is a tradition of carving on bark with various motifs, ranging from motifs of snakes (ehakkai), lizards (fendei), lizards (varaan), fish (ka), eels (Khahlio), cranes (Wandu Khoko), bats ( Pjeakea), flying squirrel (hobahe), leaves (Ovea-havea), forest flower (khamblau, haturi), circular motif (fouw), plot motif (ebew), and genemo leaf motif (ebun). With so many motifs, it would be a shame if they were not explored further because Asei's motifs would only be known among certain circles. The digitization of the asei motif design can be implemented by making it into a batik motif with the application of a computer graphic pattern. To digitize the Asei motif, the method used is a qualitative method which emphasizes the observation of phenomena and more research into the substance to be able to deeply identify the object under study related to digitization in the development of the Asei Sentani motif by using three stages, namely exploration, design, and realization. results. The results of this study are batik cloth motifs that can be used as clothes, hats or tablecloths. With the application of a computer graphic pattern, the asei motif can be implemented into a batik cloth motif that has a selling value
Implementasi Data Mining dengan Metode Apriori Untuk Analisis Pola Penjualan Barang Fashion Ardiansyah, Achmad; Midtaqulhuda, 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.v6i2.534

Abstract

Technological developments are quite felt for all lines of life that do not exist in the trading business sector. The proliferation of online stores is one of the impacts of technological developments that change the way consumers think in transactions. Although many online stores appear every year, in fact there are also many online stores that do not last long, because the competition is very tight and the marketing strategy is wrong. Every online store owner is trying to find a strategy so that his store survives. The strategy that can be applied is by providing product recommendations that are in accordance with consumer desires. The ability of shop owners to see consumer wants and needs will have an impact on increasing sales. The ability of the shop owner to organize products and create promotions using certain product combinations. The a priori algorithm is the technique used in this study. In the algorithm, an iteration process is carried out using the minimum support and confidence values to assess each product combination. Then eliminate the combination of items that do not reach the minimum support. Based on this, it is found that the frequency of goods purchased the most simultaneously provides benefits to management in compiling and combining products to optimize marketing. Then take advantage of the confidence value which provides an overview of the relationship between products. Implementation of the a priori algorithm can be used to analyze transaction data for a certain period. So that the results of the information generated by this algorithm can be used in marketing strategies and product promotions that are in accordance with customer desires.
Perancangan Aplikasi Pemesanan Air Galon Isi Ulang Berbasis Mobile Babako, Wiki Siam; Sitokdana, Melkior N. N.
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.v6i2.507

Abstract

Drinking water depot (DAM) is a business that is run through the process of treating ordinary water into water that can be consumed and sold to consumers. In order for the goal to be achieved, the owner of the drinking water depot needs an application that can help with marketing and promotion. Therefore, researchers designed an application called the GaGas application which stands for gallons and gas, besides that gagas in the Dayak Kanayatn language means good, charming, and good. The method used in this study is a descriptive method, by describing and interpreting objects according to existing conditions. In software development using the prototype method. Application testing uses the Black Box Testing method which is carried out to find every error in the application. In the test results using the Black Box Testing method, it was found that the suitability of the expected results was found, with the results that have been obtained, it can be concluded that the application 1has very few / minimal system errors or bugs.
Artificial Intelegence Perbandingan Algoritma Simple Hill Climbing Dan Steepest Ascent Hill Climbing Dalam Media Pembelajaran Alfabert Sari, Mike Febri Mayang; Sari, Dian Permata
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.v6i2.530

Abstract

This game is of interest to children aged 4 to 6 years and is very useful and able to sharpen the brain, improve memory for children. The Alphabert Game Algorithm must have a clear process of stages in order to achieve a goal in the Search system. Alphabert's Game Logic uses the Simple Hill Climbing Algorithm and the Ascent Hill Climbing Algorithm which is often used in artificial intelligence. The problem that occurs in the research, is the lack of user understanding to find a suitable algorithm to arrange the Alfabert game according to the principle of how an algorithm works. The Alphabert compilation game must follow predetermined rules in order to obtain the correct algorithm so as to produce an arrangement that is in accordance with the initial data. The work process of completing the preparation of the alphabet. The benefits of this research provide a solution to solve the Alfabert game in accordance with the rules of the Imple Hill Climbing algorithm, the Ascent Hill Climbing Search Algorithm so as to produce a solution in the search method. To solve this case there are 3 things that must be considered1. If the new state is the goal then exit 2. If not the goal, but the value is better than the current state, then make the new state into the current state 3. If the new state is not better than the current state, then continue the next iteration. Based on the search process, the final result of Alfabert's game is in the correct position of 8 squares according to the initial rule, then the search is stopped and produces a goal.
Sistem Pendukung Keputusan Pemilihan Siswa Berprestasi Berbasis Web dengan Metode Simple Additive Weighting Sholihat, Anisa; Gustian, Dudih
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.v6i2.498

Abstract

In educational institutions, in determining the order in which students who excel are generally selected only based on their final grades, the same is true in the Dwi Warna Vocational School. The ranking of students who excel at SMK Dwi Warna Sukabumi is only determined based on the value of the final report which ranks 1 to 5 only. In the process of selecting outstanding students there is an opportunity to make decisions that are not on target because the selection process for outstanding students is only based on one aspect of assessment, namely the value in the student's final report, meanwhile additional values such as attitude and achievement values that have been obtained are not from within. The school is not used as an assessment material and is also not used as a criterion in determining the order of students who excel. From this description, it is possible that the selected outstanding student does not meet the desired standard. Therefore, it takes a decision support system in the form of a website to make it easier and faster for the selection of outstanding students, with several methods that can be used and the Simple Addive Weighting (SAW) method by giving weighting to each of the criteria used. The system created is by using the PHP programming language. The system created is expected to be able to speed up the decision-making process in determining outstanding students

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