cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
JTIK (Jurnal Teknik Informatika Komputer)
Contact Email
jtik.kaputama@gmail.com
Phone
+6285360005202
Journal Mail Official
jtik.kaputama@gmail.com
Editorial Address
-
Location
Kota binjai,
Sumatera utara
INDONESIA
JTIK (Jurnal Teknik Informatika Kaputama)
Published by STMIK Kaputama Binjai
ISSN : 25489704     EISSN : 26860880     DOI : https://doi.org/10.1234/jtik.v4i1
Core Subject : Science,
Computer Science & IT
JTIK (Jurnal Teknik Informatika Kaputama) diterbitkan oleh Program Studi Teknik Informatika Kaputama sebagai media untuk menyalurkan pemahaman tentang aspek-aspek sistem informasi berupa hasil penelitian lapangan, laboratorium dan studi pustaka. Jurnal ini Terbit 2x setahun yaitu bulan januari dan bulan juli, pada JTIK fokus dan mempunyai ruang lingkup pada bidang Teknik Informatika. Seperti Data mining, Keamanan Jaringan dll.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 561 Documents
 42   43   44   45   46 
PENERAPAN ALGORITMA RIVEST SHAMIR ADLEMAN (RSA) UNTUK MENGAMANKAN DATABASE PROGRAM KELUARGA HARAPAN (PKH) Putra, Andika Cahya; Simanjuntak, Magdalena; Nurhayati, Nurhayati
JTIK (Jurnal Teknik Informatika Kaputama) Vol. 5 No. 1 (2021): Volume 5, Nomor 1, Januari 2021
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jtik.v5i1.588

Abstract

To maintain security, encryption techniques are used so that the confidentiality of the data is guaranteed. One of the encryption algorithms that is often used is the RSA (Rivest Shamir Adleman) algorithm. On this occasion the author is interested in studying the sql server database security application. In this study, the RSA (Rivest Shamir Adleman) algorithm is used to protect the PKH (Family Hope Program) database. The system will generate public keys and private keys. To secure the PKH database is encrypted with a public key. All data will be encrypted, while the private key will decrypt or restore the original state with the RSA algorithm. The application of the RSA cryptographic algorithm is a good solution for the sql server database security system that will be used to secure the PKH database. To ensure the confidentiality of PKH data stored in the database, by using the RSA algorithm into the system, the data is stored in the database so that the contents of the data cannot be understood by other parties.
PENGOLAHAN CITRA UNTUK IDENTIFIKASI KEMATANGAN BUAH JERUK DENGAN MENGGUNAKAN METODE BACKPROPAGATION BERDASARKAN NILAI HSV Bangun, Perkasa; Nurhayati, Nurhayati; Sihombing, Marto
JTIK (Jurnal Teknik Informatika Kaputama) Vol. 5 No. 1 (2021): Volume 5, Nomor 1, Januari 2021
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jtik.v5i1.589

Abstract

Tanah Karo is one of the mountainous areas that has very cool air, so Tanah Karo is a producer of citrus fruits that produce citrus fruits of good quality. But unfortunately the citrus farmers in the area still use conventional (manual) methods or by seeing with the human eye's eyes in selecting citrus fruits of suitable maturity and service without special knowledge and only from their experience. However, human vision has the limitation that the human eye will experience fatigue. Harvesting unripe citrus fruits results in inappropriate quality of citrus fruit being marketed and if you harvest too ripe citrus fruits, it will cause the citrus fruits to rot quickly when they are distributed to agents or buyers in the market. From the input pattern / image of citrus fruits as training data and training targets, it can identify the ripeness of citrus fruits using the backpropagation method. Based on the citrus fruit image data, it can recognize the pattern of citrus fruit that has a maturity level that matches the digital image using the backpropagation method, with the accuracy of training and testing data being 100%.
JARINGAN SARAF TIRUAN MEMPREDIKSI PENJUALAN MAKANAN DAN MINUMAN DENGAN MENGGUNAKAN METODE BACKPROPAGATION (STUDI KASUS : PONDOK JATI RESTO BINJAI) Satria R, Dandi; Simanjuntak, Magdalena; Saragih, Rusmin
JTIK (Jurnal Teknik Informatika Kaputama) Vol. 5 No. 1 (2021): Volume 5, Nomor 1, Januari 2021
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jtik.v5i1.590

Abstract

Pondok Jati Resto (PJR) is a cafe that provides a variety of foods and beverages that are sold to attract customers or potential customers. The number of food and beverages that have been sold, of course, PJR has data on sales of food and beverages. So far, sales data have only been seen from sales reports. It is of course very unfortunate that other data, for example, such as ordered food and beverage menus, can be used as an evaluation material for food and beverage needs that are often in demand. Food and drink is one of the most needed needs by humans. There are many types of food and drink that are made to fulfill the desire to try a food and drink. Apart from being at home, food and beverages can also be obtained at shops, stalls, restaurants, cafes and so on. The increasing number of population levels and the increasing popularity of the food and beverage business, of course, there are more and more food and beverage sellers circulating in several areas, one of which is Cafe Pondok Jati Resto. The application of artificial neural networks to predict the amount of food and beverages using Matlab software using the Backpropagation method can be applied in predicting the number of food and beverage sales. Based on the analysis process that has been carried out under the artificial neural network system using the Backpropagation method, it can identify data on the number of food and beverage sales, with test results or predictions of the average number of foods per year 20, 5 drinks and 19 snacks.
JARINGAN SYARAF TIRUAN PREDIKSI JUMLAH PENGIRIMAN BARANG MENGGUNAKAN METODE BACKPROPAGATION ( STUDIKASUS: KANTOR POS BINJAI ) Rahmadani, Feri; Pardede, Akim M.H.; Nurhayati, Nurhayati
JTIK (Jurnal Teknik Informatika Kaputama) Vol. 5 No. 1 (2021): Volume 5, Nomor 1, Januari 2021
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jtik.v5i1.591

Abstract

Artificial neural networks are a branch of AI (Artificial Intelligence). Artificial neural network is an information processing paradigm which is inspired by the human brain system in receiving information and solving problems by carrying out the learning process through changes in the weight of its synapses. Pos Indonesia is an Indonesian state-owned company engaged in postal services. Currently, the form of Pos Indonesia business entity is a Limited Liability Company and is often referred to as PT. Indonesian post. This research was conducted to obtain a time benchmark when the delivery process occurs so that it can be used as a reference in shipping management control. The number of shipments of goods can be predicted by one method for prediction, namely the Backpropagation method. The Backpropagation method is a learning algorithm to reduce the error rate by adjusting the weight based on the difference in output and the desired target. This study uses unemployment data from the previous 3 years as training test data and training target data. After conducting the discussion, it produces an error value of 0.020043915 in iteration I. The results cannot be used because the error rate has not reached the target, which is 0.01.
APLIKASI KLENTENG KOTA PEKANBARU BERBASIS WEBGIS Darwin, Ricandra; Yuliendi, Rangga Rahmadian
JTIK (Jurnal Teknik Informatika Kaputama) Vol. 5 No. 1 (2021): Volume 5, Nomor 1, Januari 2021
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jtik.v5i1.592

Abstract

There are more and more temples located in Pekanbaru City. Many people do not know the location of the temple and the activities they carry out related to stocks and minutes. Information received by the people tends to be slow or does not reach the people in need. This study aims to build a WebGIS-based pagoda application that provides information regarding the location and activities of the temple. The research method used is the System Development Life Cycle (SDLC) method. The system development refers to the CodeIgniter framework, then LeafletJS to display maps on the system, and Simple Mail Transfer Protocol (SMTP) to send a reply message to the pagoda via email. It is hoped that this application can make it easier for people to perform religious services where they want.
OPTIMASI CLUSTER K-MEANS MENGGUNAKAN METODE ELBOW PADA DATA PENGGUNA NARKOBA DENGAN PEMROGRAMAN PYTHON Winarta, Andre; Kurniawan, Wahyu Joni
JTIK (Jurnal Teknik Informatika Kaputama) Vol. 5 No. 1 (2021): Volume 5, Nomor 1, Januari 2021
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jtik.v5i1.593

Abstract

As we know, drugs are very illegal in Indonesia because drug abuse can have very dangerous effects. Drugs are substances that have side effects such as hallucinations, reduced awareness and arousal of the user. Technological advances continue to change over time so that information needs are very much needed in life. Currently, data on drug users is very extensive, so that adequate information presentation techniques are needed so that the information received is very accurate and in accordance with the user's needs. Therefore, it is necessary to carry out a data mining process on drug user data to obtain useful information for users. This study aims to prove Elbow's performance to produce optimal clusters of drug user data using the K-Means algorithm as a data grouping method. Cluster optimization is obtained from the Elbow method, which is executed with Google Collaboratory using the Python programming language. The test results show that the Elbow method works very well in producing the optimal cluster, which is found at k = 3 with the SSE difference value of 1257.862 with k test = 5.
Identifikasi Kinerja Guru Dalam Menentukan Kualitas Mengajar Menggunakan Metode Profile Matching Pranita Nasution, Fitri
JTIK (Jurnal Teknik Informatika Kaputama) Vol. 4 No. 2 (2020): Volume 4, Nomor 2, Juli 2020
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jtik.v4i2.594

Abstract

Untuk menentukan kualitas kinerja guru, sebuah instansi pendidikan harus melakukan proses penilaian kinerja dari gurunya. Yayasan Perguruan MTsS YASPI Labuhan Deli merupakan salah satu instansi pendidikan yang selalu meningkatkan mutu pendidikan disekolah. Penilaian kinerja guru pada sekolah YASPI Labuhan Deli masih dilakukan secara konvensional, sehingga terdapat banyak kriteria penilaian serta dibutuhkan waktu yang lama dalam penilaian kinerja guru tersebut. Penelitian ini bertujuan untuk mengoptimalkan proses penilaian kinerja guru agar lebih cepat dan tepat. Metode yang digunakan adalah Profile Matching. Hasil penelitian ini dapat menentukan kinerja guru lebih tepat sebesar 100%. Sehingga penelitian ini dapat direkomendasikan sebagai sistem yang tepat dalam penilai kinerja guru disekolah.
PENGUKURAN KUALITAS WEBSITE PENJUALAN TIKET DENGAN MENGGUNAKAN METODE MCCALL Hanes, Hanes; Angela, Angela; Br Sembiring, Salsalina
JTIK (Jurnal Teknik Informatika Kaputama) Vol. 4 No. 2 (2020): Volume 4, Nomor 2, Juli 2020
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jtik.v4i2.595

Abstract

Ticket reservations through agents or ticket sales points are very conventional. The web is the choice media to sell tickets for now. Customers can easily buy tickets like transportation ticket, events, and playground tickets through the web. Problems faced by some web users are the lack of responsiveness of the web, unstable connections, difficult usage, and the possibility of payment failure when transaction is done. Therefore, it is necessary to measure software quality using the McCall method. From the measurement results, web ticket sales get 80.56% which means the quality of the ticket sales web is good. Although the overall result is considered good, but ticket sales service providers must continue to improve the quality of the web.
ANALISIS DESAIN GRAFIS MENGGUNAKAN TEKNOLOGI KOMPUTER BERBASIS SOFTWARE CORELDRAW Syahputra Lubis, Mhd. Dicky; Riki Ulfakh Sinaga, Hari Fana; Delfriati Batubara, Anggreini; Maulia Anggraini, Elsa; Syafitri Saragih, Firda
JTIK (Jurnal Teknik Informatika Kaputama) Vol. 4 No. 2 (2020): Volume 4, Nomor 2, Juli 2020
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jtik.v4i2.596

Abstract

Pentingnya membuat berbagai desain grafis menggunakan aplikasi software CorelDraw dengan metode belajar praktis dan mandiri dapat meningkatkan softskill mahasiswa. Penelitian dilakukan secara langsung yaitu melalui observasi. Subjek penelitian ini adalah beberapa mahasiswa dan alumni dari berbagai jurusan dan orang-orang yang tidak dapat melanjutkan pendidikan ke perguruan tinggi. Parameter keberhasilan dari penelitian ini yaitu ketika pengguna sudah mampu mengoperasikan icon-icon yang tersedia di software CorelDraw sesuai fungsinya. Untuk hasil yang maksimal, pengguna hanya perlu terus berlatih dan terus mencobanya. Berdasarkan hasil penelitian diketahui bahwa: (1) Pemanfaatan program aplikasi software CorelDraw dapat meningkatkan softskill dan kreatifitas siapa saja termasuk mahasiswa. (2) Pemanfaatan program aplikasi software CorelDraw dapat meningkatkan kerja otak bagi siapa saja termasuk mahasiswa. (3) Pemanfaatan program aplikasi software CorelDraw dapat membuka peluang bisnis bagi siapa saja termasuk mahasiswa. (4) Pemanfaatan program aplikasi software CorelDraw dapat menjadi nilai jual siapa saja ketika bersaing di sebuah perusahaan.
IMPLEMENTASI ALGORITMA KRIPTOGRAFI MODULAR MULTIPLICATION – BASED BLOCK CIPHER (MMB) PADA KEAMANAN DATA Wiranata, Rio; Khair, Husnul; Ramadani, Suci
JTIK (Jurnal Teknik Informatika Kaputama) Vol. 4 No. 2 (2020): Volume 4, Nomor 2, Juli 2020
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jtik.v4i2.597

Abstract

Dalam kehidupan sehari – hari manusia banyak bergantung pada teknologi informasi. Maka mulai bermunculan berbagai media untuk mengakses informasi dan mengelola informasi sehingga banyak kemudahan-kemudahan yang kemudian didapat untuk mengakses suatu informasi. masalah keamanan informasi menjadi hal yang sangat penting dalam suatu sistem informasi untuk keamanan bersama maupun keamanan pribadi. Untuk itu diperlukan suatu sistem keamanan yang dapat melindungi suatu informasi untuk pengamanan data untuk mengantisipasi ancaman tersebut seperti teknik kriptografi. Kriptografi metode Modular Multiplication Based Block Cipher (MMB) dapat digunakan untuk menjaga keamanan pesan saat pesan dikirim dari suatu tempat ke tempat yang lain. Program aplikasi yang telah dibangun hanya mengenkripsi plaintext dengan format doc, txt, xls, ppt. Penelitian ini menghasilkan suatu program untuk mengamankan pesan rahasia berbentuk file. File yang dienkrip dapat diungkapkan kembali sama persis dengan file aslinya dan tidak mengalami perubahan isi file sedikit pun.

Page 44 of 57 | Total Record : 561

 42   43   44   45   46 

Filter by Year

2017 2026


Reset
Filter By Issues
All Issue Vol. 10 No. 1 (2026): Volume 10, Nomor 1, Januari 2026 Vol. 9 No. 2 (2025): Volume 9, Nomor 2, Juli 2025 Vol. 9 No. 1 (2025): Volume 9, Nomor 1, Januari 2025 Vol. 8 No. 2 (2024): Volume 8, Nomor 2, Juli 2024 Vol. 8 No. 1 (2024): Volume 8, Nomor 1, Januari 2024 Vol. 7 No. 2 (2023): Volume 7, Nomor 2, Juli 2023 Vol 7, No 1 (2023): Volume 7, Nomor 1 Januari 2023 Vol. 7 No. 1 (2023): Volume 7, Nomor 1, Januari 2023 Vol 6, No 2 (2022): Volume 6, Nomor 2 Juli 2022 Vol. 6 No. 2 (2022): Volume 6, Nomor 2, Juli 2022 Vol. 6 No. 1 (2022): Volume 6, Nomor 1, Januari 2022 Vol 6, No 1 (2022): Volume 6, Nomor 1 Januari 2022 Vol. 5 No. 2 (2021): Volume 5, Nomor 2, Juli 2021 Vol 5, No 2 (2021): Volume 5, Nomor 2 Juli 2021 Vol 5, No 1 (2021): Volume 5, Nomor 1 Januari 2021 Vol. 5 No. 1 (2021): Volume 5, Nomor 1, Januari 2021 Vol. 4 No. 2 (2020): Volume 4, Nomor 2, Juli 2020 Vol 4, No 2 (2020): Edisi Juli Nomor. 4 Volume. 2 Tahun 2020 Vol. 4 No. 1 (2020): Volume 4, Nomor 1, Januari 2020 Vol 4, No 1 (2020): VOLUME 4 NOMOR 1, EDISI JANUARI 2020 Vol 3, No 2 (2019): VOLUME 3 NOMOR 2, EDISI JULI 2019 Vol. 3 No. 2 (2019): Volume 3, Nomor 2, Juli 2019 Vol. 3 No. 1 (2019): Volume 3, Nomor 1, Januari 2019 Vol 3, No 1 (2019): Edisi Januari 2019 Vol. 2 No. 2 (2018): Volume 2, Nomor 2, Juli 2018 Vol. 2 No. 1 (2018): Volume 2, Nomor 1, Januari 2018 Vol 2, No 2 (2018): EDISI JULI 2018 Vol 2, No 1 (2018): Edisi Januari 2018 Vol 1, No 2 (2017) Vol 1, No 1 (2017) Vol. 1 No. 2 (2017): Volume 1, Nomor 2, Juli 2017 Vol. 1 No. 1 (2017): Volume 1, Nomor 1, Januari 2017 More Issue