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Aiti: Jurnal Teknologi Informasi
Published by Universitas Kristen Satya Wacana
ISSN : 16938348     EISSN : 26157128     DOI : https://doi.org/10.24246/aiti
Core Subject : Science,
Computer Science & IT
AITI: Jurnal Teknologi Informasi is a peer-review journal focusing on information system and technology issues. AITI invites academics and researchers who do original research in information system and technology, including but not limited to: Cryptography Networking Internet of Things Big Data Data Science Software Engineering Information System Web Programming Mobile Application Service System Artificial Intelligence Digital Image Processing Machine Learning Deep Learning Geographic Information System Context Aware System Management Information System Software-defined Network
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 149 Documents
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Simulasi Sistem Keamanan Jaringan Komputer Berbasis IPS Snort dan Honeypot Artilery Alja Aminanto; Wiwin Sulistyo
AITI Vol 16 No 2 (2019)
Publisher : Fakultas Teknologi Informasi Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1000.769 KB) | DOI: 10.24246/aiti.v16i2.135-150

Abstract

The Intrusion Prevention System (IPS) Snort is a server security System that can prevent attacks by examining and recording all data packets as well as recognizing packets with sensors, when the attack has been identified, IPS Snort will deny the access (block) and log of all data packets identified. However by using only IPS Snort which can only check and note the Allert attacks that are incoming in less sense to secure a server by collaborating with the other server's secure system in the sense of being able to make the network security of the server better. Honeypot Artillery chosen which works when there is a Hacker trying to penetrate through open ports can be detected as if hackers can break through the system, then Honeypot Artillery will provide information about who attackers and how the attacker could enter the Snort IPS system for later record in the database that can be viewed on the Web interface, Allert recorded on the experiment that has been done in the database as much as 9453 on TCP protocol as much as 9%, UDP as much as < 1%, and ICMP As much as 91%.
Analisis Routing Protokol Optimized Link State Routing (OLSR) Pada Raspberry Pi Ulfa Septilia Permatasari; Indrastanti Ratna Widiasari
AITI Vol 16 No 2 (2019)
Publisher : Fakultas Teknologi Informasi Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (543.866 KB) | DOI: 10.24246/aiti.v16i2.151-164

Abstract

Optimized Link State Routing (OLSR)is one of the two standard for mesh networks. OLSR is a link state routing protocol, which use hallo message and topology control (TC) to determine the link state information across the mobile ad-hoc network. OLSR is widely used in the wireless mesh network. Raspberry Pi is a mini computer which can be used as a node router to replace the function of a router in a wireless mesh network. In this research, Raspberry Pi is used as a router nodes to determine the performance of routing protocol OLSR. The parameters used to measure its performance is self-configure time, self-healing and bandwidth usage. The test results showed that the use of routing protocols OLSR on the Raspberry Pi in a wireless mesh network proved able to repair itself if there is a problem on the network since it has ability to self-configure and self-healing.
Perancangan Notifikasi Pesan Disposisi Pada Sistem Pengelolaan Surat Dinas Menggunakan Layanan API Media Social Billy Gerardhy Lainsamputty; Suprihadi Suprihadi
AITI Vol 16 No 2 (2019)
Publisher : Fakultas Teknologi Informasi Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (899.058 KB) | DOI: 10.24246/aiti.v16i2.165-186

Abstract

Based on the Department of Agriculture which still does not have the tools or media to manage the letter of service, both the incoming and outgoing mail which impact on the weak supervision follow-up of the service letter due to ignorance that the letter should be processed. This study was made as a visual and text notification of incoming and outgoing mail data with more detailed archive storage. This website application is supported by using social media telegram API service that is used as notification in the form of notification to the employee so that the Service Letter can be followed up immediately.
Sistem Informasi Presensi Mahasiswa Berbasis Radio Frequency Identification Dede Kurniadi; Yosep Septiana; Asri Mulyani; Agus Hermawan
AITI Vol 17 No 1 (2020)
Publisher : Fakultas Teknologi Informasi Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/aiti.v17i1.1-10

Abstract

Presensi perkuliahan merupakan suatu proses pencatatan kehadiran mahasiswa dalam mengikuti kegiatan belajar mengajar dalam perkuliahan. Teknologi radio frequency identification dalam sistem presensi dapat mendukung dalam kelancaran proses perkuliahan, karena data kehadiran mahasiswa akan teridentifikasi secara otomatis melalui radio frequency identification reader yang nantinya tersimpan dalam database sistem sehingga mahasiswa tidak perlu lagi untuk menandatangani form presensi., pengolahan data dengan aplikasi ini akan menghasilkan informasi yang lebih akurat. Adapun metode pengembangan perangkat lunak dan perangkat keras menggunakan Rapid Application Development, metode ini di dalam pengembangan dan perancangannya menggunakan sumber daya yang ada dengan tujuan pengembangan dan perancangan perangkat lunak yang singkat dan cepat. Hasil dari penelitian tersebut menghasilkan sistem presensi mahasiswa dan dosen, dan cetak laporan presensi. Diharapkan dengan adanya sistem presensi berbasis radio frequency identification meningkatkan fungsi pelayanan akademik terhadap mahasiswa secara mudah, cepat, efektif dan efisien.
Otomatisasi Sistem Inventarisasi Barang di Sekolah: Studi pada SD Negeri Sidorejo Lor 06, Salatiga Anis Setia Wati; Evi Maria; Ariya Dwika Cahyono
AITI Vol 17 No 1 (2020)
Publisher : Fakultas Teknologi Informasi Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/aiti.v17i1.56-71

Abstract

The purpose of this research is to automate the inventory system of goods in SD Sidorejo Lor 06 Salatiga by developing a web based inventory system. This research focuses on designing systems ranging from listing inventory data, logging incoming goods, logging outgoing goods, performing mutation of goods, and making inventory reports. This research develops a system using the Waterfall software development model. Inventory system of goods is developed by using CodeIgniter framework and MySQL as database. Additionally, the system has two user levels: admin and user. The features of this information system include managing the data of items such as adding, editing, deleting, printing and storing data on the dashboard menu, items, transactions, reports. Hence, the aim of the automation is to solve delays and inaccuracy problem of the inventory reports in SD Sidorejo Lor 06 Salatiga. The results of the inventory system testing developed in this research is proven to speed up the process of producing inventory reports. The inventory report creation process takes only 22.30 seconds. The system has also been shown to improve the accuracy of inventory reporting in school. The system notified if the input of the number of goods out exceeded the stock of the goods owned.
High Availability Web and Database Service Model with Redundacy Servers Whisnumurti Adhiwibowo
AITI Vol 17 No 1 (2020)
Publisher : Fakultas Teknologi Informasi Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Sebuah peladen diperlukan oleh web agar dapat menyediakan informasi bagi semua orang di dunia hanya dengan sekali klik. Web membutuhkan sebuah Peladen berbentuk fisik maupun logis untuk melayani penggunanya. Dikarenakan oleh persyaratan inilah peladen web diharuskan untuk daring setiap hari tanpa henti. Gangguan pelayanan akan terjadi apabila peladen mengalami gangguan yang disebabkab oleh mati listrik, bencana alam, atau kerusakan fisik maupun digital lainnya. Untuk menyelesaikan masalah ini, sebuah model optimal untuk peladen web cadangan sangat diperlukan ketika terjadi gangguan. Kumpulan peladen ini terhubung di satu jaringan yang sama sehingga dapat melakukan replikasi data yang komplet dari peladen utama. Peladen utama ini memiliki tugas untuk melakukan replikasi, dan peladen kedua mengambil alih pelayanan ketika peladen utama mati. Ketika kejadian failover ini terjadi, KeepAlived akan mengatur tabel routing untuk melanjutkan pelayanan web dengan cara mengarahkan lalu lintas data ke peladen kedua yang ada.
Klasifikasi Sinyal Elektrokardiogram Menggunakan Stockwell Transforms dan K-Nearest Neighbor Dyah Ayu Pratiwi; Achmad Rizal; Rita Magdalena
AITI Vol 17 No 1 (2020)
Publisher : Fakultas Teknologi Informasi Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/aiti.v17i1.22-32

Abstract

Sinyal elektrokardiogram adalah sinyal bio-electrik yang dihasilkan dari aktifitas kelistrikan jantung. Informasi dari kondisi kesehatan jantung bisa diketahui dengan menganalisis bentuk, irama, durasi, maupun orientasi nya. Berbagai metode dikembangkan untuk melakukan analisis atau mengklasifikasi sinyal EKG secara otomatis. Beberapa diantaranya menggunakan metode transformasi untuk mengubah sinyal dari domain waktu ke domain sinyal yang lain. Pada penelitian ini digunakan Stockwell transform (S-transform) untuk mengubah sinyal dari domain waktu ke domain waktu-frekuensi. Nilai minimum dan maksimum dari pada deretan waktu dari S-transform digunakan sebagai masukan K-NN sebagai classifer. Akurasi dari penggunaan S-transform dibandingkan dengan akurasi penggunaan short-term Fourier transform (STFT) yang merupakan transormasi yang setara. Hasil pengujian menunjukkan akurasi S-transform lebih tinggi dibandingkan dengan FFT pada enam kelas data sinyal EKG yang diuji.
Gamifikasi sebagai Metode untuk Mendapatkan Customer Loyalty: Review Literatur Fedelis Brian Putra Perkasa; Andi Wahju Rahardjo Emanuel
AITI Vol 17 No 1 (2020)
Publisher : Fakultas Teknologi Informasi Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/aiti.v17i1.11-21

Abstract

Customer loyalty is one of the important things in the business area. This is because customer loyalty can provide additional revenue for the business sector. Customer loyalty is applied not only to the retail business, but many other business sectors that implement it. Customer loyalty has several variables and factors that can influence it. These include engagament, satisfaction and brand. These three factors can be generated from the application of gamification. Therefore, in this study we will explain about gamification that can affect customer loyalty. In this study, the elements of the game will be discussed in accordance with this context, how to implement them and what impacts they will produce. The results of this study conclude that there are several gamification elements that can be applied. Also demonstrated the implementation of gamification that is suitable for this problem.
Prediksi Not Operational Transaction Menggunakan Logistic Regression pada Bank XYZ di Kota Kupang Radius Tanone; Arnold B Emmanuel
AITI Vol 17 No 1 (2020)
Publisher : Fakultas Teknologi Informasi Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/aiti.v17i1.42-55

Abstract

Bank XYZ is one of the banks in Kupang City, East Nusa Tenggara Province which has several ATM machines and is placed in several merchant locations. The existing ATM machine is one of the goals of customers and non-customers in conducting transactions at the ATM machine. The placement of the ATM machines sometimes makes the machine not used optimally by the customer to transact, causing the disposal of machine resources and a condition called Not Operational Transaction (NOP). With the data consisting of several independent variables with numeric types, it is necessary to know how the classification of the dependent variable is NOP. Machine learning approach with Logistic Regression method is the solution in doing this classification. Some research steps are carried out by collecting data, analyzing using machine learning using python programming and writing reports. The results obtained with this machine learning approach is the resulting prediction value of 0.507 for its classification. This means that in the future XYZ Bank can classify NOP conditions based on the behavior of customers or non-customers in making transactions using Bank XYZ ATM machines.
Perancangan Aplikasi Perekrutan Karyawan Berbasis Web Menggunakan Platform Pega Trivena Andriani; Hindriyanto Dwi Purnomo
AITI Vol 17 No 2 (2020)
Publisher : Fakultas Teknologi Informasi Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/aiti.v17i2.72-85

Abstract

Quality of human resources currently needed at a company, therefore the company needs to select candidates through recruitment such as at PT. Asuransi Sinar Mas. The application needed to simplify recruitment then was created a Job Fair application web-based to get information about potential candidates. To design this application used the Prototype model so the application is according to user requirement and using the Pega platform because Pega is more effective in terms of time and can translate business process management to an application according to user requirements. With this application, the company can save paper cost and help the recruitment process from various areas because can be accessed online.

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