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All Journal Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS
Hardita, Veny Cahya
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Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Social Sciences

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PENERAPAN KOMBINASI METODE VIGENERE CIPHER, CAESAR CIPHER DAN SIMBOL BACA DALAM MENGAMANKAN PESAN Hardita, Veny Cahya; Sholeha, Eka Wahyu
Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 11 No 1 (2021): Maret 2021
Publisher : STMIK Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (509.608 KB) | DOI: 10.33020/saintekom.v11i1.202

Abstract

The concept that an important information cannot be known by parties who don’t have rights can be done by making the confidentiality of data using cryptography. Safety in vigenere ciphers depends on the number of keys used, the more the number of keys, the wider the key space. While caesar cipher or often also called caesar code is a classic coding system based on simple substitution. This study uses a combination of Vigenere Cipher and Caesar Cipher algorithms so that the security of the contents of the message is protected stronger and safer so that if the message sent is tapped by someone who is not responsible then the hijacker has difficulty knowing contents of the message. So that the confidentiality and authenticity of message is up to the recipient In this study successfully implemented both methods and has an output in the form of a reading symbol, not letters.
PENERAPAN METODE APRIORI SEBAGAI SISTEM PENDUKUNG KEPUTUSAN PEMBENTUKAN PAKET PENJUALAN BIBIT BUAH Hammad, Rifqi; Hardita, Veny Cahya; Zulfikri, Muhammad; Sholeha, Eka Wahyu
Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 12 No 1 (2022): Maret 2022
Publisher : STMIK Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33020/saintekom.v12i1.240

Abstract

Taletan Ijo is an online shop that sells fruit seeds. In carrying out its business processes, he utilizes a sales information system. The system is used to manage sales data. If the data is not used, it will lead to accumulation of data but lack of information. Taletan ijo uses the manual method in its product marketing strategy so that the strategy used is not quite right. Stored sales transaction data can be used as a reference in making marketing strategies such as making product sales packages. This study uses data mining methods, namely associations with a priori algorithms to process transaction data into information that can help support decisions in determining marketing strategies. The results of the study show that the lift ratio test results obtained are 3.2 which indicates that the value is valid with a minimum number of transactions of 10 and a confidence value of 80.
Algoritma K-Means dalam Pengelompokan Surat Keluar pada Program Studi Teknik Informatika STMIK Palangkaraya Rusdiana, Lili; Hardita, Veny Cahya
Jurnal Saintekom : Sains, Teknologi, Komputer dan Manajemen Vol 13 No 1 (2023): Maret 2023
Publisher : STMIK Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33020/saintekom.v13i1.356

Abstract

K-Means algorithm as a method of grouping a set of data. The purpose of this study is to find out the use of the K-Means algorithm for outgoing mail data. The method used in this study focuses on the K-Means method. The grouping data used is 284 outgoing mail data at the STMIK Palangkaraya Informatics Engineering Study Program. Outgoing mail data is grouped into two groups, namely staffing and academic administration. Grouping based on letter number, status of recipient of letter, subject of letter. Steps in the K-Means algorithm result two iterations because there is a group movement that occurs, namely there is a movement from one group to another because the value of the object function changes. The iteration can be stopped in 2nd iteration because the object function change value is below the given threshold value, which is 0.1 and there is no group movement in the data used. Two iterations that have occurred, it shows a decrease in the value of changes in object function and data transfer in group locations.
PELATIHAN APLIKASI KOMPUTER (MICROSOFT WORD) BAGI STAF DAN PERANGKAT DESA BAHU PALAWA Rusdiana, Lili; Hadi, Abdul; Herkules; Elmayantie, Catharina; Hardita, Veny Cahya; Putri, Elsa Monica; Seveniardy, I Nyoman Leofrensa
Jurnal Pengabdian Kolaborasi dan Inovasi IPTEKS Vol. 2 No. 2 (2024): April
Publisher : CV. Alina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59407/jpki2.v2i2.585

Abstract

Penggunaan aplikasi komputer sudah tidak asing lagi terutama seperti pada bidang perkantoran untuk layanan masyarakat. Penggunaan Microsoft Word biasa digunakan baik untuk surat menyurat maupun untuk laporan kegiatan. Pelaksanaan pengabdian dilakukan pada Desa Bahu Palawa sebagai bentuk implementasi dari kerja sama. Peserta dalam kegiatan ini yaitu staf dan perangkat desa. Kegiatan PKM ini mengupas sekaligus mengajarkan kepada peserta PKM tentang penggunaan aplikasi komputer yaitu Microsoft Word untuk mendukung kegiatan bagi staf dan perangkat desa, baik untuk membuat surat menyurat maupun untuk laporan kegiatan. Adapun metode yang digunakan dalam kegiatan ini adalah metode ceramah, demonstrasi dan praktik. Sebagai bahan evaluasi, pelaksana pengabdian menggunakan kuesioner untuk mengetahui respon peserta kegiatan serta untuk mengetahui dampak dan manfaat kegiatan maupun aplikasi yang digunakan bagi peserta pengabdian. Penggunaan kuesioner sebagai bentuk bahan evaluasi bagi pelaksana pengabdian. Hasil evaluasi menunjukkan Pretest sebesar 59% dan Posttest sebesar 68%. Hal ini menunjukkan bahwa terdapat peningkatan pemahaman peserta terhadap kegiatan yang dilakukan.
Topic modeling and sentiment analysis about Mandalika on social media using the latent Dirichlet allocation method Hammad, Rifqi; Hardita, Veny Cahya; Amrullah, Ahmad Zuli
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 12 No. 3 (2022): Matrix: Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v12i3.109-116

Abstract

The rapid and widespread dissemination of information currently affects the tourism sector. One tourist area that is quite widely discussed is the Mandalika Circuit. Twitter is one platform that provides comments related to the Mandalika Circuit. The amount of information related to the Mandalika Circuit is currently not being utilized properly by managers (government or private). It causes many topics related to the Mandalika Circuit that are currently trending, and public sentiment regarding the Mandalika Circuit is unknown to the government or private sector. Ignorance can result in delays in decision making which can harm the manager. To overcome this problem, research on sentiment analysis and topic modeling related to the Mandalika Circuit was carried out. The sentiment analysis method used is SVM and for modeling using LDA. Based on the results of the sentiment analysis, 1500 tweets were obtained before doing the pre-processing process, thus getting a dataset of 500 tweets divided into 398 positive and 102 negative tweets. So it can be concluded that more Twitter users give positive than negative responses to the Mandalika Circuit. The test results show that the SVM algorithm can classify sentiment toward the Mandalika Circuit well, as indicated by the measurement of the performance of the SVM algorithm, namely 87% accuracy, 77% precision, 84.81% recall, and 98.52% specificity. These results also show that the F1 Score compares the average precision and recall, which is weighted at 80.72%.
Co-Authors Abdul Hadi Amrullah, Ahmad Zuli Catharina Elmayantie, Catharina Hammad, Rifqi Herkules Lili Rusdiana, Lili Putri, Elsa Monica Seveniardy, I Nyoman Leofrensa Sholeha, Eka Wahyu Zulfikri, Muhammad