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JISKa (Jurnal Informatika Sunan Kalijaga)

JISKA
Website

Published by Universitas Islam Negeri Sunan Kalijaga Yogyakarta

ISSN : 25275836 EISSN : 25280074 DOI : -

Core Subject : Science, Engineering,

Computer Science & IT Electrical & Electronics Engineering Library & Information Science

JISKa (Jurnal Informatika Sunan Kalijaga) adalah jurnal yang mencoba untuk mempelajari dan mengembangkan konsep Integrasi dan Interkoneksi Agama dan Informatika yang diterbitkan oleh Departemen Teknik Informasi UIN Sunan Kalijaga Yogyakarta. JISKa menyediakan forum bagi para dosen, peneliti, mahasiswa dan praktisi untuk menerbitkan artikel penelitiannya, mengkaji artikel dari para kontributor, dan teknologi baru yang berkaitan dengan informatika dari berbagai disiplin ilmu

Arjuna Subject : -

Articles 231 Documents

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Implementasi Algoritma Advanced Encryption Standard (AES) pada Layanan SMS Desa Intan Fitriani; Aryo Baskoro Utomo
JISKA (Jurnal Informatika Sunan Kalijaga) Vol. 5 No. 3 (2020): November 2020
Publisher : UIN Sunan Kalijaga Yogyakarta

Along with the development of technology, Short Message Service (SMS) has begun to be used to communicate between someone and the system in an agency. But in some cases, the security of messages sent through the SMS application has not been well protected. To improve data security and confidentiality, cryptographic algorithms with Advanced Encryption Standard (AES) can be done. The method used is the Waterfall method. AES encryption testing is done by comparing the manual calculations and the results of the encryption on the system. Blackbox test, CrackStation test, and Avalanche Effect (AE) test were also carried out. Brute force test results using CrackStation software that ciphertext cannot be solved. And in the avalanche effect (AE) test, the AE value of each 128-bit AES key is 44.53%, 192-bit is 48.44%, and 256-bit is 56.25%. Therefore, 192-bit and 256-bit AES keys are recommended for use because AE values are in the range of 45% - 60%.

Rancang Bangun Film Animasi 3D Sejarah Terbentuknya Kerajaan Samudra Pasai Menggunakan Software Blender Kurniyatul Ainiyah; Nurul Hidayah; Faradilah Putri Damayanti; Indana Nuril Hidayah; Juniardi Nur Fadila; Fresy Nugroho
JISKA (Jurnal Informatika Sunan Kalijaga) Vol. 5 No. 3 (2020): November 2020
Publisher : UIN Sunan Kalijaga Yogyakarta

Indonesian people's knowledge about the history of kingdoms in Indonesia was decreased. Now the existence of history books was shifted by the rapid development of technology. Realized this, many educational institutions were involved in technology to their learning media. To support that, the writer will use technology to create a learning media, named 3D short animated films. This kind of film turned out to attract the publics' attention, ranging from children to adolescents. The animated film will be designed with the theme of the first Islamic kingdom in Indonesia, named the Samudra Pasai kingdom with a duration of approximately 3 minutes. this animated film was made by Blender software version 2.79. The design of this animation aims to increase knowledge as well as learning media for students about the history of the Indonesian people, especially the history of Samudra Pasai kingdom.

Pembuatan Simulasi Perang Zaman Pertengahan dengan Metode Pose to Pose Menggunakan Software Blender Annisa Rizkiana Putri; Seta Murdha Pamungkas; Ikhwata Andy Pratama; Naila Nahdiyah; Cahya Wulandari; Juniardi Nur Fadilah; Fresy Nugroho
JISKA (Jurnal Informatika Sunan Kalijaga) Vol. 6 No. 1 (2021): Januari 2021
Publisher : UIN Sunan Kalijaga Yogyakarta

The animating process is a process in making animation. Many animations seem less clear in delivering messages to the audience. This is because the images and motion of the animation are less real. In making animations, methods are needed to produce quality movements. The method of making animated motions varies depending on the animation pattern you want to create. This research will discuss the Pose to Pose method and will be implemented in the process of making 3D animation that tells the second crusade. The process of warfare involving many people will be in this animation. This method is used in basic human movements in the story. So that the animation looks more real. In making this animation utilizing Blender software starting from the initial stage of manufacture to completion.

Sistem Scheduling Pelaporan Data Akademik di UIN Sunan Kalijaga ke Pangkalan Data Pendidikan Tinggi (PDDikti) dengan Menggunakan Fitur Cron Job di Linux Adi Wirawan
JISKA (Jurnal Informatika Sunan Kalijaga) Vol. 5 No. 3 (2020): November 2020
Publisher : UIN Sunan Kalijaga Yogyakarta

Data reporting from higher education to the Higher Education Data Centre (PDDikti) is a form of reporting that must be sent to The Indonesian Ministry of Research, Technology and Higher Education (Ristekdikti). This reporting includes aspects of students, academic transactions, and some other data, which usually has a time limit for each academic year. UIN Sunan Kalijaga like other higher eductions, reports a lot of data to PDDikti with a limited time, which sometimes makes reporting officers need to do overtime to report existing data. This study aims to create an application that can schedule data reporting times to the PDDikti feeder application, to reduce overtime that needs to be done by the operator. The application is created using the cron job feature owned by Linux to run reporting commands.

Analisa Usability Website Akademi Komunitas Negeri Pacitan Menggunakan Metode Heuristic Evaluation Kurnianto Tri Nugroho; Bagus Julianto; Gramandha Wega Intyanto; Mochammad Syahrul Munir; Danny Febryan Nur M.S.
JISKA (Jurnal Informatika Sunan Kalijaga) Vol. 5 No. 3 (2020): November 2020
Publisher : UIN Sunan Kalijaga Yogyakarta

The development of information technology today provides many changes to human life, one of which is the website. The website of the university in particular can help the wider community, especially students, in obtaining information. Akademi Komunitas Negeri (AKN) Pacitan is one of the many colleges that utilize information technology in the form of websites. To find out whether the website created has made it easy for users, it is necessary to analyze the usability of the website. This study will analyze the level of usability on the AKN Pacitan website with the Heuristic Evaluation method. The variables used in this study are five usability variables of the ten variables in the Heuristic Evaluation method, including visibility of system status, the match between system and the real world, consistency and standards, flexibility and efficiency of use, and aesthetic and minimalist design. The population of this research is students, lecturers, and AKN Pacitan staff, using probability sampling, simple random sampling, and proportionate stratified random sampling as data collection techniques. The research data was taken using a questionnaire and analyzed using descriptive analysis methods. From the results of the subsequent questionnaire, the analysis will produce several recommendations for improvement and further development of the AKN Pacitan website to improve the functionality of the website itself.

Forensik Mobile pada Layanan Media Sosial LinkedIn Imam Riadi; Anton Yudhana; Mushab Al Barra
JISKA (Jurnal Informatika Sunan Kalijaga) Vol. 6 No. 1 (2021): Januari 2021
Publisher : UIN Sunan Kalijaga Yogyakarta

The research explores mobile forensic on LinkedIn social media. Forensic mobile finds digital evidence of job hoax cases in LinkedIn, investigation using the NIST (National Institute of Standard and Technology) method. Data collection techniques using Andriller tools in investigations. Data examination using tools Root Browser, Autopsy in the forensic process. data analysis using tools MOBILedit in the forensic process. The investigation found digital evidence of log activity, a status update on LinkedIn. Other results found in the investigation are 17 WiFi password, 117 download history, 263 phone calls, 1 file deleted, 1 file hidden, and 1 file raised, the research has reached the expected target.

Komparasi Kinerja Algoritma BFS, Dijkstra, Greedy BFS, dan A* dalam Melakukan Pathfinding Nadila Sugianti; Ainatul Mardhiyah; Nurma Romihim Fadilah
JISKA (Jurnal Informatika Sunan Kalijaga) Vol. 5 No. 3 (2020): November 2020
Publisher : UIN Sunan Kalijaga Yogyakarta

Pathfinding is a computational process in finding the best route between two points or nodes to find the shortest path. This method has many algorithms that can be applied in various fields. In carrying out the pathfinding, speed and distance are considered as important. Through the test diagram, this paper illustrates the execution steps related to the pathfinding algorithm which includes BFS, Dijkstra, Greedy BFS, and A * for comparison. From several studies, the authors identified that execution time and mileage can be used optimally in the comparison process. Input variables as well as media used are 2-dimensional grids and heuristic function calculations. The analogy is carried out on a unity platform with the C# programming language, producing A * as a more flexible pathfinding algorithm to be implemented in various domains.

Segmentasi Pelanggan Berdasarkan Perilaku Penggunaan Kartu Kredit Menggunakan Metode K-Means Clustering Fatimah Defina Setiti Alhamdani; Ananda Ayu Dianti; Yufis Azhar
JISKA (Jurnal Informatika Sunan Kalijaga) Vol. 6 No. 2 (2021): Mei 2021
Publisher : UIN Sunan Kalijaga Yogyakarta

Credit card is one of the payment media owned by banks in conducting transactions. Credit card issuers provide benefits for banks with interest that must be paid. Credit card issuers also provide losses to banks that have agreed to pay not to pay their credit card bills. To request a loan from the bank, a cluster model is needed. This study, proposing a segmentation system in research using credit cards to determine marketing strategies using the K-Means Clustering method and conducting experiments using the 4 methods namely K-Means, Agglomerative Clustering, GMM, and DBSCAN. Clustering is done using 9000 active credit card user data at banks that have 18 characteristic features. The results of cluster quality accuracy obtained by using the K-Means method are 0.207014 with the number of clusters 3. Based on the results obtained by considering 4 of these methods, the best method for this case is K-Means.

Analisis Sentimen Review Halodoc Menggunakan Nai ̈ve Bayes Classifier Asep Hendra; Fitriyani Fitriyani
JISKA (Jurnal Informatika Sunan Kalijaga) Vol. 6 No. 2 (2021): Mei 2021
Publisher : UIN Sunan Kalijaga Yogyakarta

Healthcare service has the role to help and serve people to access medical services, i.e. providing medicines, medical consultation, or health control. Healthcare service has been transforming to a digital platform. Halodoc is one of the digital platforms that people can use for free or paid, user can also give reviews of Halodoc’s performance and services on Google Play Store to give feedback that Halodoc can use to evaluate and improve the app. The Google Play Store review is increasing every day. Therefore an analysis for the review with sentiment analysis for Halodoc’s review is needed, first phase of sentiment analysis for the review is preprocessing which has tokenization, transform to lower cases, filter stopword, dan filter token (by length) processes. The data is divided into two positive and negative classes with cross-validation and a k-fold validation value of 10, using Naïve Bayes Classifier algorithm with 81,68% accuracy and AUC 0.756, categorized as fair classification.

Prediksi Barang Keluar TB. Wijaya Bangunan Menggunakan Algoritma KNN Regression dengan RStudio Natcha Kwintarini Suparman; Budi Arif Dermawan; Tesa Nur Padilah
JISKA (Jurnal Informatika Sunan Kalijaga) Vol. 6 No. 2 (2021): Mei 2021
Publisher : UIN Sunan Kalijaga Yogyakarta

TB. Wijaya Bangunan is a business entity that has weaknesses in managing inventories. This study aims to help TB. Wijaya Bangunan in managing inventory based on existing data reduce the difference between the number of incoming goods and the number of outgoing goods. The methods used are data collection, data preparation, data selection, preprocessing, data transformation, distance calculation, calculation of predictions, evaluation, and display of prediction results using a Shiny framework. This study uses the Time Series KNN Regression algorithm to predict the number of outgoing goods based on time series data with existing data. The most predicted results came out in the 9th week period as much as 22.40%. Based on the process that has been done, it can be concluded that the evaluation value of Root Mean Square Error (RMSE) is at least 3.55, which means it has the best predictive accuracy results.

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Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name
Muhammad Taufiq Nuruzzaman

Contact Email
m.taufiq@uin-suka.ac.id

Phone
+6287708181179

Journal Mail Official
jiska@uin-suka.ac.id

Editorial Address
Teknik Informatika, Fak. Sains dan Teknologi, UIN Sunan Kalijaga Jln. Marsda Adisucipto No 1 55281 Yogyakarta

Location
Kab. sleman,

Daerah istimewa yogyakarta

INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Muhammad Taufiq Nuruzzaman

Contact Email m.taufiq@uin-suka.ac.id

Phone +6287708181179

Journal Mail Official jiska@uin-suka.ac.id

Editorial Address Teknik Informatika, Fak. Sains dan Teknologi, UIN Sunan Kalijaga Jln. Marsda Adisucipto No 1 55281 Yogyakarta

Location Kab. sleman, Daerah istimewa yogyakarta INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Muhammad Taufiq Nuruzzaman

Contact Email
m.taufiq@uin-suka.ac.id

Phone
+6287708181179

Journal Mail Official
jiska@uin-suka.ac.id

Editorial Address
Teknik Informatika, Fak. Sains dan Teknologi, UIN Sunan Kalijaga Jln. Marsda Adisucipto No 1 55281 Yogyakarta

Location
Kab. sleman,

Daerah istimewa yogyakarta

INDONESIA