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All Journal Jurnal Informatika dCartesian: Jurnal Matematika dan Aplikasi Jurnal Simetris Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Informatika dan Teknik Elektro Terapan SMATIKA Jurnal Informatika IJCIT (Indonesian Journal on Computer and Information Technology) Jurnal EMT KITA JIKO (Jurnal Informatika dan Komputer) JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Pilar Nusa Mandiri Syntax Literate: Jurnal Ilmiah Indonesia JUTEI (Jurnal Terapan Teknologi Informasi) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal ULTIMA Computing J-SAKTI (Jurnal Sains Komputer dan Informatika) JURIKOM (Jurnal Riset Komputer) Jurnal Informatika JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) ComTech: Computer, Mathematics and Engineering Applications Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Progresif: Jurnal Ilmiah Komputer Zonasi: Jurnal Sistem Informasi Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Tekinkom (Teknik Informasi dan Komputer) Aiti: Jurnal Teknologi Informasi Jurnal Teknologi Informatika dan Komputer IJECS: Indonesian Journal of Empowerment and Community Services J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Ekonomi JUSTIN (Jurnal Sistem dan Teknologi Informasi) Malcom: Indonesian Journal of Machine Learning and Computer Science STORAGE: Jurnal Ilmiah Teknik dan Ilmu Komputer Jurnal Indonesia : Manajemen Informatika dan Komunikasi Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Magdalena Ariance Ineke Pakereng
Universitas Kristen Satya Wacana
Religion Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Other

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Perancangan Teknik Kriptografi Block Cipher Berbasis Pola Permainan Tradisional Rangku Alu Perdana Bagas Tirta Kumbara; Magdalena A. Ineke Pakereng
Jurnal Teknik Informatika dan Sistem Informasi Vol 5 No 2 (2019): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v5i2.1714

Abstract

Data security is one of the most important factors in the world of Information Technology today. One way to secure data is by Block Cipher Cryptography technique. However, some cryptographic techniques have been successfully solved by the cryptanalysis so that new cryptographic algorithms need to be created. The design of Cryptography algorithms based on traditional game patterns of Rangku Alu from East Nusa Tenggara is a design of Cryptographic Block Cipher algorithms that operate in the form of bits designed with 10 rounds where each cycle contains four processes. In each round there are four patterns for the plaintext process and four patterns for the key. The fourth process is transformed with an S-Box table to get a more random ciphertext. Tests were also carried out using Avalance Effect which reached 49,38% and the correlation value where there was a change in character reached 73,44%. So the result designing Cryptographic algorithms can be used for encryption and description in text files.
Modifikasi Skema Teknik Tanam Padi dan Bajak Sawah Berbasis Square Transposition 64-bit Nadya Glorya Najoan; Magdalena Ariance Irene Pakereng
Jurnal Teknik Informatika dan Sistem Informasi Vol 7 No 1 (2021): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v7i1.2973

Abstract

Cryptography is a study discussing mathematic technics that related to information security aspects such as secrecy, data integrity, and authenticity. Cryptography is also a method to secure data or information in the form of a password that makes it hard to understand the meaning. This research discusses how to modify a scheme while looking for random points using different pickup points and income points. While looking for the random point in the modified scheme research using the rice planting and field plow techniques, it has three testing processes which were runtest, monobit, and blockbit tests. This research used square transpositions 64-bit with the size 8x8 and it got a high result with p-value 7.32395E-10, p-value monobit 1.00000000 and p-value blockbit 1 that showed non-random result with the smallest p-value was 0.011662392 with p-value monobit 1.00000000 and the p-value blockbit 0.99990476 that made thisresearch got a random result.
Implementation and Training of Congregation Data Management Application at GPID Eben Haezer Palu Bangkalang, Dwi Hosanna; Evangs; Setiyawati, Nina; Hartomo, Kristoko Dwi; Pakereng, Magdalena Ariance Ineke
IJECS: Indonesian Journal of Empowerment and Community Services Vol. 6 No. 1 (2025)
Publisher : Universitas Veteran Bangun Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32585/ijecs.v6i1.5953

Abstract

Congregation data collection at GPID Eben Haezer is still done manually. This causes a lot of congregation data to be unsynchronized between the written data and the actual data. In addition, it also results in inefficient administrative services to the congregation. The vision of church digitalization also raises its own problems for the church, namely the unpreparedness of the church's human resources (HR) in digital capabilities. This Community Service (PkM) activity is to help and facilitate GPID Eben Haezer in implementing congregation data management applications and mentoring training in the process of adopting technology in church governance. The training activity was attended by 7 church admins and was carried out after the stages of formulating partner needs, adjusting and implementing the application. After the training, the application usability was measured using the System Usability Scale (SUS) and a score of 83 was obtained, indicating that the implemented application was EXCELLENT and ACCEPTABLE.  Keywords: Congregation Data Collection Application; Digital Skills; Training; System Usability Scale
PERANCANGAN APLIKASI GUEST SELF SERVICE MENGGUNAKAN TEKNOLOGI QR CODE UNTUK MELAKUKAN ABSEN DI PT. MITRA INTEGRASI INFORMATIKA BERBASIS WEB Prasetya, Ezra Inti; Pakereng, Magdalena Ariance Ineke
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol 11, No 2 (2020): JURNAL SIMETRIS VOLUME 11 NO 2 TAHUN 2020
Publisher : Fakultas Teknik Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/simet.v11i2.4804

Abstract

Penelitian ini mengusulkan sebuah aplikasi self service untuk melakukan pendataan tamu dan karyawan. Dalam melakukan absen pada aplikasi yang dirancang menggunakan QR Code sebagai pengenal orang yang melakukan absen. Proses absensi dilakukan oleh karyawan dengan melakukan scan terhadap QR Code yang dikirimkan melalui email. Aplikasi ini dikembangkan berbasis web dengan memanfaatkan teknologi Java, JavaScript, MySQL, Framework Spring Boot dan library Zxing dalam proses pembuatan dan pembacaan QR Code. Berdasarkan hasil pengujian yang dilakukan kepada developer dan pengguna aplikasi, dapat disimpulkan bahwa aplikasi Guest Self Service untuk absen berbasis web ini dapat berfungsi dengan baik serta dapat menyelesaikan permasalahan yang ada. 
Square Transposition Method with Adaptive Key Flexibility and Strong Diffusion Performance Pakereng, Magdalena Ariance Ineke; Wowor, Alz Danny; Beeh, Yos Richard; David, Felix; Christianto, Erwien; Susanto, Vincent Exelcio; Canavaro, Claudio
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 24 No. 3 (2025)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v24i3.5004

Abstract

The Square Transposition method has notable potential in enhancing diffusion within block encryption systems; however, its application is typically limited to perfect square key lengths. The objective of this study is to reconstruct the method to accommodate non-square key lengths by utilizing two square matrices. To assess the effectiveness of the proposed approach, the method of this study uses a comparative analysis conducted against the transposition structures found in DES and AES algorithms, both of which are cryptographic standards established by NIST. The comparison is strictly limited to the transposition component, excluding other components of the full encryption framework. The evaluation involves Monobit, Block Bit, and Run Tests, along with Pearson correlation analysis between plaintext and ciphertext. Tests are conducted on 16 input variations across three key sizes: 128-bit, 256-bit, and 512-bit. The results of this study show that the proposed method achieves lower correlation values (r = 0.02) compared to DES (r = 0.07) and AES (r = 0.05). The conclusion of this study is that these findings indicate the approach offers improved key flexibility and diffusion capability, making it a promising transposition component for block cipher encryption systems. This reconstruction contributes a novel transposition structure that is compatible with non-square key sizes, thereby enhancing both diffusion strength and adaptability in modern cryptographic applications.
Deteksi kendaraan di lalu lintas menggunakan Kalman Filter dan Yolo v8 Pratama, Leonnyndra Putra; Pakereng, Magdalena A. Ineke
AITI Vol 22 No 2 (2025)
Publisher : Fakultas Teknologi Informasi Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24246/aiti.v22i2.192-205

Abstract

This research discusses the development of a vehicle detection and tracking model for traffic using the YOLO v8 algorithm integrated with a Kalman Filter. The goal of this study is to improve vehicle tracking accuracy in traffic video recordings, with enhanced robustness against occlusions and disturbances. The methodology involves data collection from a vehicle image dataset available on Roboflow, followed by data processing into training, validation, and testing subsets. The model was trained over 30 epochs using Google Colaboratory, achieving a Mean Average Precision (mAP50) of 93%, a precision of 90%, and a recall of 89%. Testing was conducted on traffic footage from the City of Madiun, obtained from the Madiun City Government's CCTV website, demonstrating high detection and tracking performance. Model evaluation results indicate an accuracy of 93%, precision of 96%, recall of 85%, and an F1 score of 90%. The confusion matrix evaluation shows good performance in detecting vehicles, including cars, motorcycles, and trucks, making it a potentially effective solution for traffic monitoring challenges.
Air Quality and COVID-19 Patient Conditions in Jakarta: A Comparative Analysis of Classification Algorithms Wowor, Alz Danny; Jesajas, Marthen Billy; Dimara, Indri; Salama, Aditya; Pakereng, Magdalena Ariance Ineke
Jurnal Ilmiah Teknik Elektro Komputer dan Informatika Vol. 11 No. 3 (2025): September
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/jiteki.v11i3.30826

Abstract

The COVID-19 pandemic has become a global challenge, with environmental factors such as air quality contributing to disease severity. This study analyzes the relationship between air pollution parameters (PM2.5, PM10, NO2, SO2, CO, and O3) and COVID-19 patient conditions in Jakarta, categorized into three groups: positive, recovered, and deceased. A comparative evaluation was conducted using five classification algorithms: Na¨ıve Bayes, Random Forest, k-Nearest Neighbors (kNN), Decision Tree, and Support Vector Machine (SVM). The results show that kNN achieved the highest accuracy of 80.71%, while Na¨ıve Bayes obtained the highest recall of 91.83% and a precision of 80.75%. This study contributes by evaluating the effectiveness of classification techniques in mapping the impact of air quality on patient conditions and by identifying the most accurate predictive model. The findings suggest that classification methods can serve as reliable predictive tools to assess the health impacts of air pollution on the population.
ANALISIS TINGKAT PENGANGGURAN DI KOTA PALOPO MENGGUNAKAN METODE K-MEANS Lenda, Julita Veronika; Pakereng, Magdalena A Ineke
ZONAsi: Jurnal Sistem Informasi Vol. 6 No. 2 (2024): Publikasi Artikel ZONAsi: Periode Mei 2024
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/zn.v6i2.20061

Abstract

Pengangguran merupakan sebuah istilah dimana seseorang tidak memiliki pekerjaan dalam artian belum bekerja, tetapi dapat juga diartikan sebagai orang yang sedang mencari pekerjaan atau orang yang sudah bekerja tetapi belum memperoleh hasil yang produktif. Pengangguran mempunyai dampak yang sangat negatif terhadap perekonomian dan masyarakat. Oleh karena itu, diperlukan upaya untuk mengatasi permasalahan tersebut. Tujuan dari penelitian ini yaitu untuk mengetahui perkembangan tingkat pengangguran di kota Palopo. Penelitian ini menggunakan teknik data mining yaitu algoritma K-Means. Algoritma K-Means merupakan metode clustering yang digunakan untuk membagi suatu dataset menjadi beberapa kelompok variabel. Hasil penelitian diharapkan dapat membantu pemerintah dalam pengembangan program ketenagakerjaan untuk mengurangi tingkat pengangguran di kota Palopo.
Migrasi Aplikasi Stock Opname Platform Desktop Ke Android Menggunakan Kivy Framework (Studi Kasus Di PT Sumber Alfaria Trijaya Tbk) Tobing, Prihantoro Manahan; Pakereng, Magdalena Ariance Ineke
IJCIT (Indonesian Journal on Computer and Information Technology) Vol 6, No 2 (2021): IJCIT November 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (593.259 KB) | DOI: 10.31294/ijcit.v6i2.9680

Abstract

AbstrakSistem pengelolaan barang sangat dibutuhkan bagi salah satu perusahaan retail terbesar di Indonesia, yaitu PT Sumber Alfaria Trijaya Tbk atau lebih dikenal dengan nama Alfamart. Dalam menunjang kemajuan bisnisnya, Alfamart selalu up to date dalam hal teknologi, agar tidak kalah bersaing dengan perusahaan retail lain dan tetap mempertimbangkan biaya pengeluaran. Untuk mengatasi permasalahan teknologi yang tertinggal dilakukan dengan membangun sistem yang bernama Stock Opname menggunakan teknologi Kivy Framework. Kivy merupakan suatu library open-source yang dapat digunakan untuk membangun aplikasi desktop dan atau mobile. Penelitian ini menggunakan metode penelitian Rekayasa Forward Engineering dengan metode pengembangan sistem SDLC model proses waterfall. Penelitian ini menghasilkan aplikasi program komputer bernama Stock Opname yang telah teruji dapat berjalan secara cross-platform.Kata Kunci: aplikasi mobile, cross-platfom, kivy framework, PT sumber alfaria trijaya, retailAbstractAs one of the largest retail companies in Indonesia, PT Sumber Alfaria Trijaya Tbk or widely known as Alfamart is required to have a reliable goods management system. In supporting its business progress, the company also needs to be always up to date in terms of technology, so that it is not being outclassed by competitors while keeping reasonable expenses. To overcome lagging technology problems , building a system called Stock Opname using Kivy Framework technology can be useful. Kivy is an open-source library that can be used to build desktop and or mobile applications. This study uses the Forward Engineering research method with the SDLC system development approach of the waterfall process model. It develops a computer application program called Stock Hosting that has been proved to be able to run across platforms. Keywords: cross-platfom, kivy framework, mobile aplcation, retail, PT sumber alfaria trijaya
ANALYSIS OF USER SATISFACTION LEVEL IN F-LEARN USING EUCS METHOD Pali'pangan, Prihart Julian; Pakereng, Magdalena A. Ineke
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 7 No. 2 (2023): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol7No2.pp290-294

Abstract

The changes in various aspects of life have led to the rapid development of information technology, enabling it to encompass all fields of knowledge in the education world and support the teaching and learning process. E-Learning is an integrated system developed through a holistic approach to ensure the effectiveness and interconnectedness of learning. It directly connects learners with relevant learning-teaching resources, facilitating active interaction and in-depth exploration. Flexible-Learning (F-Learn) is a distance learning platform at Satya Wacana Christian University (UKSW) that supports academic activities. The End User Computing Satisfaction (EUCS) method is used as an evaluation tool to measure user satisfaction with the application system by comparing their expectations with their actual user experience. The research aims to measure and evaluate students' satisfaction level with the use of F-Learn as a benchmark for the quality of services provided. Based on the conducted analysis, the content rating score is 3.9775, accuracy is 3.485, format is 3.31, usability is 3.82, and timeliness is 4.115.
Co-Authors Adam Belo Paembonan Afiyatar Asyer Asyer Afril Caesar Muhammad Hanif Agnes Meilosa Callysta Alvira Karisma Putri Alz Danny Wowor Andeka Rocky Tanaamah Angela Putri Larasati Darakay Anggara, Richardus Sapta Antonius Bintang Timur Aziiz, Anriza Kurnia Bramantya, Samuel Dwi Briandika, Jordan Canavaro, Claudio Christin Ngongoloy, Beststinsi Deni Supimum Jaya Devara Putra Aryasa Dewi, Syarafina Dimara, Indri Dio Yudha Perdana Diva Christalivea Dwayne Jeremy Euagellino Prihanto Dwi Hosanna Bangkalang E.V. Sihombing, Kristina Eirene Claudia Ratmoko Ellen Arnetta Ellen Yumanda Erwien Christianto Evangs Falensky, Lee Valdho Faradisia, Adeline Febriyanti, Monica Dias Federick Jonathan Felik Darmawan Wijaya Felix David Fernando, Fery Ferryan Nur Setyawan Feybiola Agustine Andrea Ompo Geraldie Tanu Saputra Getsemani Salisa Margaretha Harjono, Rhaka Pradena Heinricho Dimas Prasetya Hendrawan Suprayogi Jaya, Deni Supimum Jesajas, Marthen Billy Jessica Christiani Irawan Jonathan Nandika Gustin Juan Andrew Suthendra Julio, Erry Kaferin, Eggia Kevin Alexander Harjanto Kevin Setiawan Klaudius Nikotino P Kristoko Dwi Hartomo Kumbara, Perdana Bagas Tirta Lenda, Julita Veronika Letuna, Noliyanti Ria Mei Irawati Michael, Sean Mochammad Iqbal Tawakal Muhammad Haidar Wijaya Nadya Glorya Najoan Najoan, Nadya Glorya Nanda Choirul Ngantung, Ronaldo Kristoforus Ni Made Grace Advendi Nina Setiyawati Obidje, Bhilton Mesianus Pali'pangan, Prihart Julian Pattipeilohy, Rioldy Leonard Perdana Bagas Tirta Kumbara Prasetya, Ezra Inti Pratama, Leonnyndra Putra Puspitasari, Pipit Putra, Arios Wardana Putra, Oktavian Alle Mahenswa Radithya Airlangga Ramos Somya Ririn Ayu Ardila Rizki, Muhammad Bagus Saghoa, Evifania Chayu Salama, Aditya Santoso, Chrys Nathanael Saputra, Denny Agusto Simamora, Lasriama Agnes E Sindhi Diah Ayu Palupi Sofia Sofia Sonny Endrawan Susanto, Vincent Exelcio Talahaturuson, Januar C. Tarigan, Aldy Alvharo Tobing, Prihantoro Manahan Tolanda, Dominus Alfin Tuah, Oliver Vincent Virgelius Hendrawan Taralandu Wicaksana, Prasetya Wicaksono, Embang Aulia William Chrisnando Ekasaputra Yoridi, Maria Leonila Yawa Yos Richard Beeh Yos Richard Beeh Yosepinus Trinaldo Yoshua Kenny Nugroho Yuliadi, Yusup