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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 64 Documents
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Search results for , issue "Vol 6, No 2 (2022): EDISI SEPTEMBER" : 64 Documents clear
Pengamanan Data Pasien Di UPT. Puskesmas Pujon Kalimantan Tengah Menggunakan Kriptografi Super Enkripsi Lee Valdho Falensky; Magdalena A. Ineke Pakereng
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 Agung Dwi Saputro; Bobi Frans Kuddi
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 Achmad Ardiansyah; M Midtaqulhuda
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 Wiki Siam Babako; Melkior N. N. Sitokdana
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 Mike Febri Mayang Sari; Dian Permata Sari
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 Anisa Sholihat; Dudih Gustian
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
Rancang Bangun Sistem Informasi Pendaftaran Siswa Baru Berbasis Web Setio Ardy Nuswantoro; S Suriansyah
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.v6i2.521

Abstract

The new student registration system at SMA 2 Muhammadiyah Palangkaraya is still done conventionally, the problem with using a manual system is that manual storage can result in damage or loss of new student registration data and takes a long time to make reports. Problems like this can be overcome by utilizing information technology such as a new student registration information system using the waterfall software development development method which includes the stages of planning, analysis, design, development, implementation, and maintenance. The new student registration system provides information on new student registration, the selection process for new student registration and reporting on the number of new student admissions
Implementasi Metode ANP Untuk Pemberian Bantuan Sosial Putri Wulandari; R. Soelistijadi; Endang Lestariningsih
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.v6i2.489

Abstract

Poverty is a condition of a person or group of people with limited assets and valuables. With these limitations, the community is unable to finance the necessities of a decent life. Standards for the needs of a person’s life worth include food and drink, clothing, a place to live or a house,work and so on. The selection of social assistance recipients is still done manually so that it will affect the outcome of the decision. So, it is necessary to create a system that helps the decision support process for social assistance recipient the ANP (Analytic Network Process) method. In ANP there are 7 (seven) stages, including : determining alternatives, determining criteria, determining alternative comparisons for each node in the criteria cluster, determining the comparison of criteria for each node in the alternative cluster, calculating the weighted supermatrix, calculating the unweighted supermatrix and supermatrix limit. The alternative refers to the name of the community that is the candidate for assistance and the criteria refers to a requirement for social assistace recipients in the Bumirejo sub-district. The first step is calculating ANP by inputting alternative data and criteria data and determining an alternative comparison table for nodes in each criterion cluster and vice versa, in order to produce an index and consistency ratio. The implementation of ANP determines an unweighted and weighted supermatrix with a limit supematrix so as to produce a rangking of decision support system for determining poverty ranking in the provision of social assistance with the lowest synthesis value of 0,11824021. so it can be concluded that this final result can be used as a benchmark for social assistance recipients based on predetermined criteria
Sistem Pengenalan Wajah pada Keamanan Ruangan Berbasis Convolutional Neural Network S Sunardi; Abdul Fadlil; Denis Prayogi
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.v6i2.480

Abstract

Face recognition is a biometric system that is widely applied in various fields especially in the security for identify and verify purposes. For every method of face recognition, they have a unique ways on the process with their advantages and disadvantages themselves. This study designs a face recognition system that is applied to a room security system using the Convolutional Neural Network (CNN). This method works by imitating the way nerve cells to communicate with interrelated neurons or rather mimics how artificial neural networks work in humans. The process of taking images as training data and the face recognition process using a webcam camera installed on a Raspberry pi-based device and python programming language with tensorflow library. Based on the results of research obtained using 875 data samples which were divided into 75% for training and 25% (or 219 data) for testing data produce predictions with 100% accuracy that means all data were successfully recognized.
Deteksi Jenis Sayuran dengan Tensorflow Dengan Metode Convolutional Neural Network Agung Rizqi Hidayat; Veronica Lusiana
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.v6i2.512

Abstract

Vegetables are food ingredients of plant origin that have a high water content, vegetables can be consumed fresh or processed into a dish. The diversity of vegetables in the world causes many classification processes for vegetables. Such as classification based on cultivation method, edible organs, botanical classification and classification based on growing conditions. In this study, a dataset of 17 types of vegetables and 2,550 images of vegetables were used. The vegetable species classification process uses the Convolutional Neural Network (CNN) algorithm because it has good ability in classifying image objects. The trial process was carried out using five smartphones with an Android-based operating system. The process of designing this android-based application uses the python programming language with the Tensor flow module for the testing and training process of data. The final result of the accuracy test on vegetables resulted in an average accuracy of recognizing the types of vegetables by 70% with one of the results of the classification test on vegetables producing the highest accuracy rate of 86%.

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