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All Journal International Journal of Evaluation and Research in Education (IJERE) Seminar Nasional Aplikasi Teknologi Informasi (SNATI) CommIT (Communication & Information Technology) Journal of Information Systems Engineering and Business Intelligence E-Dimas: Jurnal Pengabdian kepada Masyarakat Journal of Information Technology and Computer Science AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Altruis: Journal of Community Services Patria : Jurnal Pengabdian Kepada Masyarakat Jurnal Abdimas Ilmiah Citra Bakti (JAICB) Journal of Innovation and Community Engagement Jurnal Inovatif Wira Wacana JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Mewati Ayub
Universitas Kristen Maranatha
Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Physics Public Health Social Sciences Other

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PELATIHAN COMPUTATIONAL THINKING UNTUK GURU SDK 6 BPK PENABUR BANDUNG MELALUI BEBRAS TASK DAN AKTIVITAS UNPLUGGED Mewati Ayub; Hendra Bunyamin; Oscar Karnalim; Robby Tan; Maresha Caroline Wijanto; Doro Edi; Julianti Kasih; Andreas Widjaja; Adelia; Meliana Christianti; Wenny Franciska Senjaya; Swat Lie Liliawati; Rossevine Artha Nathasya
Jurnal Abdimas Ilmiah Citra Bakti Vol. 5 No. 3 (2024)
Publisher : STKIP Citra Bakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38048/jailcb.v5i3.3799

Abstract

Konsep computational thinking (CT) diperlukan dalam dunia digital saat ini agar setiap orang dapat belajar dan bekerja secara cerdas. Untuk membangun kembali interaksi antar guru dan siswa yang terkendala pada saat pandemi Covid 19, maka interaksi yang efektif antar guru dan siswa dalam pembelajaran pasca pandemi dapat dilakukan dengan menerapkan CT dalam pembelajaran.  Pelatihan CT untuk guru-guru SDK 6 BPK Penabur dilakukan dengan tujuan agar setiap guru dapat menerapkan konsep CT dan aktivitas unplugged dalam pembelajaran yang bersifat interaktif. Pelatihan guru yang dilaksanakan secara luring pada 15 Maret 2024 dan 22 Maret 2024, diikuti oleh 30 orang peserta. Setelah materi konsep CT, Bebras task, dan aktivitas unplugged disampaikan, guru diberi tugas kelompok untuk membuat rencana penerapan CT dalam mata pelajaran serta membuat rencana aktivitas unplugged untuk membantu siswa dalam menerapkan CT dalam persoalan sehari-hari. Hasil dari tugas kelompok yang dibuat peserta menunjukkan nilai rata-rata sangat baik dalam penerapan CT dan aktivitas unplugged. Sebagian besar peserta berpendapat penerapan CT sangat bermanfaat untuk diterapkan dalam pembelajaran di tingkat sekolah dasar untuk melatih anak berpikir kritis dan kreatif dalam memecahkan masalah di kehidupan sehari-hari.
Ekstraksi Perilaku Pasien Pada Kunjungan Poliklinik Rumah Sakit Menggunakan FP-Growth Liliawati, Swat Lie; Toba, Hapnes; Ayub, Mewati; Mu’min, Aziz; Valentina, Ivana; Metayani, Vanessa; Nava, Vardina
Jurnal Inovatif Vol. 2 No. 3 (2023): Desember 2023
Publisher : Universitas Kristen Wira Wacana Sumba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58300/inovatif.v2i3.681

Abstract

Penerapan sistem informasi management rumah sakit (SIMRS) pada sebuah rumah sakit dapat memberikan pengetahuan baru dalam melakukan pengelolaan rumah sakit dan memungkinkan manajemen rumah sakit untuk memperoleh data pasien dalam jumlah besar mengenai kunjungan pasien. Salah satu tantangan dalam menggunakan big data di rumah sakit adalah ekstraksi perilaku pasien dalam melakukan kunjungan ke poliklinik di rumah sakit. Perilaku kunjungan pasien ini merupakan faktor yang sangat penting bagi pihak management rumah sakit untuk mengambil keputusan yang tepat. Dalam penelitian ini menggunakan metode association rules untuk mengekstrak data kunjungan pasien agar dapat menghasilkan informasi yang baik dan dapat dipahami perilaku kunjungan pasien di rumah sakit. Hasil penelitian ini menunjukan bahwa dengan metode association rules dapat mengekstraksi data kunjungan pasien dan menghasilkan aturan asosiasi yang kuat pada perilaku kunjungan pasien.
Initial Suspicion on Detecting Code Plagiarism and Collusion in Academia: Case Study of Algorithm and Data Structure Courses Ayub, Mewati; Karnalim, Oscar; Wijanto, Maresha Caroline; Risal, Risal
Journal of Information Technology and Computer Science Vol. 6 No. 1: April 2021
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (947.087 KB) | DOI: 10.25126/jitecs.202161274

Abstract

In engineering education, some assessments require the students to submit program code, and since that code might be a result of plagiarism or collusion, a similarity detection tool is often used to filter excessively similar programs. To improve the scalability of such a tool, it is suggested to initially suspect some programs and only compare those programs to others (instead of exhaustively compare all programs one another). This paper compares the ef-fectiveness of two common techniques to raise such initial suspicion: focusing on the submissions of smart students (as they are likely to be copied), or the submissions of slow-paced students (since those students are likely to breach academic integrity to get higher assessment mark). Our study shows that the latter statistically outperforms the former by 13% in terms of precision; slow-paced students are likely to be the perpetrators, but they fail to get the submissions of smart students.
Dynamic Sign Language Recognition in Bahasa using MediaPipe, Long Short-Term Memory, and Convolutional Neural Network Lemmuela , Ivana Valentina; Ayub, Mewati; Karnalim, Oscar
Journal of Information Systems Engineering and Business Intelligence Vol. 11 No. 1 (2025): February
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jisebi.11.1.17-29

Abstract

Background: Communication is important for everyone, including individuals with hearing and speech impairments. For this demographic, sign language is widely used as the primary medium of communication with others who share similar conditions or with hearing individuals who understand sign language. However, communication difficulties arise when individuals with these impairments attempt to interact with those who do not understand sign language. Objective: This research aims to develop models capable of recognizing sign language movements in Bahasa and converting the detected gesture into corresponding words, with a focus on vocabularies related to religious activities. Specifically, the research examined dynamic sign language in Bahasa, which comprised gestures requiring motion for proper demonstration. Methods: In accordance with the research objective, sign language recognition model was developed using MediaPipe-assisted extraction process. Recognition of dynamic sign language in Bahasa was achieved through the application of Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) methods. Results: Sign language recognition model developed using bidirectional LSTM showed the best result with a testing accuracy of 100%. However, the best result for the CNN alone was 86.67 %. The integration of CNN and LSTM was observed to improve performance than CNN alone, with the best CNN-LSTM model achieving an accuracy of 95.24%. Conclusion: The bidirectional LSTM model outperformed the unidirectional LSTM by capturing richer temporal information, with a specific consideration of both past and future time steps. Based on the observations made, CNN alone could not match the effectiveness of the Bidirectional LSTM, but a combination of CNN with LSTM produced better results. It is also important to state that normalized landmark data was found to significantly improve accuracy. Accuracy within this context was also influenced by shot type variability and specific landmark coordinates. Furthermore, the dataset containing straight-shot videos with x and y coordinates provided more accurate results, dissimilar to those comprised of videos with shot variation, which typically require x, y, and z coordinates for optimal accuracy. Keywords: Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM), MediaPipe, Sign Language
Prediksi Kelalaian Pinjaman Bank Menggunakan Random Forest dan Adaptive Boosting Joseph Sanjaya; Erick Renata; Vincent Elbert Budiman; Francis Anderson; Mewati Ayub
Jurnal Teknik Informatika dan Sistem Informasi Vol 6 No 1 (2020): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v6i1.2313

Abstract

Abstract — A loan is one of the most important products on the bank, which used for main revenue. All bank tries to find the most effective business strategy to persuade a customer to use the loan, but loan default has a negative effect after the application is approved. Loan default causes loss on the bank, therefore it is mandatory to calculate in order to decrease the risk of the loan default. This study uses random forest and adaptive boosting machine learning methods to get the prediction and decision. The random forest uses a voting method from many decision trees and adaptive boosting can support to increase accuracy, stability and handle an underfit or overfit problem. The experimental results show that Adaptive Boosted Random Forest outperformed normal random forest and Deep learning Neural Network (DNN) in recall rate evaluation metrics with small trade-offs in the accuracy. Keywords— Adaptive Boosting; Bank; Loan Default; Machine learning; Random Forest;
Pengembangan Knowledge Management System dengan Teknik Information Retrieval Try Atmaja Linggan Jaya; Mewati Ayub
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.v7i1.3316

Abstract

Useful data sets can be used as information to solve problems or share knowledge with others. In the case of companies implementing the new system, many input errors, or not knowing the workflow of the program, are experienced repeatedly by the same person or people in the same department. Besides that, with the entry of new employees, it takes time to adapt and how to solve the problem. To solve it, a place is needed to record problems and their solutions, or share knowledge, both for old and new employees as 'First Aid'. Knowledge Management System application is expected to help solve the problems as a place to collect data which contains errors, cause and solving; business flow; user authorization; etc. The data used, using data from a collection of tickets, personal messages or e-mail, and knowledge owned by the user, will be entered into the database as a storage place for knowledge. In the input process, each word will be broken down based on the character 'space', tokenizing, filtering, and VSM and then entered into the database. Users can search for information or knowledge by entering keywords or sentences according to user needs, then the input will be processed by tokenizing, filtering, and calculating the length using VSM. After getting the input length, the results will use the TF-IDF algorithm and cosine similarity, and the system will display the results in list form and see the details if the results from the list are selected.
Manajemen Risiko Divisi Sistem Informasi Perguruan Tinggi Dengan Framework COBIT 5 Francis Anderson Kojongian; Mewati Ayub
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.v7i1.3434

Abstract

In order to achieve the company goals, in Universitas Kristen Maranatha, Information system becomes the main tool and Information Technology infrastructure become the backbone in running the company business model, along with the increasing of portfolio application, number of Information Technology services and the amount of human resources. Universitas Kristen Maranatha requires an international standard instrument to measure several domains, both Manage and Operation domains, holistically. By implementing frameworks such as COBIT 5 or COBIT 5 for IT RISK, ISO 31000: 2018, the company is able to measure planning effectiveness, strategic policies implementation, IT service management measured by Service Level Agreement, monitoring and evaluation. In this research, there are 7 domains implemented as follows: EDM01-Ensure Governance Framework Setting and Maintenance, EDM03- Ensure Risk Optimization, AP002- Manage Strategy, APO09- Manage Service Agreements, AP012-Manage Risk, BAI01-Manage Programmes and Projects, BAI05- Manage Organizational Change Enablement.
Evaluasi Penggunaan Learning Management System Sebagai Alat Bantu Pembelajaran Matematika Sekolah Dasar Kenny Jingga; Bernard Renaldy Suteja; Mewati Ayub
Jurnal Teknik Informatika dan Sistem Informasi Vol 7 No 3 (2021): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v7i3.3977

Abstract

Teaching and learning activities need to be interactive to increase children’s interest in learning. With the utilization of technology, there are so many learning tools had been made. One of them is Moodle. Moodle is a learning management system (LMS) application to support learning activity on electronic based (e-learning). The purpose of this research is to implement Moodle as LMS for mathematics learning on primary school children. By using Moodle, the lessons are delivered interactively for children to learn. This research will find out the influence of using this application towards the test score before and after using the application. T-Test analysis will be applied to analyze the differences. Besides analyzing the test score, questionnaires for the children who test the application will be given to know the effect of using the application for them. Based on the evaluation result using T-Test analysis, there were not any significant differences, but there were enhancements in average, highest, and lowest scores, along with the decrease in standard deviation. The result of correlation coefficient calculation between exercise frequency and quiz result was 0.2162, which meant that the correlation was weak or almost no correlation. Based on the questionnaire result, this application is considered helping children in understanding the subject.
Manajemen Risiko Pemasangan Wifi pada Perusahaan Telekomunikasi dengan Framework Risk Information Technology Loudry Palmarums Mustamu; Mewati Ayub; Swat Lie Liliawati
Jurnal Teknik Informatika dan Sistem Informasi Vol 8 No 1 (2022): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v8i1.4491

Abstract

 In this research, an analysis of Wi-Fi products was carried out using Risk Framework, Information Technology (IT) Domain Risk Response, and decision tree method to determine decision making at the Telecommunication companies which occurs from January to September 2021. The Wi-Fi installation process was carried out to assess how far Telecommunication company had responded to problems related to IT risks. This analysis is carried out to help the Telecommunication company create a framework to respond to IT risks that have occurred, such as human risk errors, system disturbances, interference fromoutside parties, inventory control, as well as responding to problems related to IT risks such as problems related to possible risks to the system used. The goal is to provide recommendations to the company in accordance with the IT Risk Framework. Thedata sources are derived from a direct interview with the manager of the Telecommunication company and customer service data. The analysis refers to the process of installing Wi-Fi for the customers. Customer service data is analyzed using the Decision Tree in Weka. The results of the analysis are expected to support the Telecommunication company to be better inresponding and reacting to IT risk and incidents that have occurred, those that may occur at telecommunication installation.
Pengembangan Admisi Universitas Berbasis Sistem Pengelola Pengetahuan Nathanael Liman; Maresha Caroline Wijanto; Mewati Ayub; Bernard Renaldy Suteja; Try Atmaja Linggan Jaya
Jurnal Teknik Informatika dan Sistem Informasi Vol 8 No 2 (2022): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v8i2.4651

Abstract

 The study will develop a prototype to implement a knowledge management system using the information retrieval method. As a study case, the knowledge about university admission will be used. The users of the system consist of guests, admin, and admission staff. The guest can search for information in the dashboard and give suggestions. The admission staff can add new knowledge or modify the existing knowledge. The new knowledge should be verified and approved by the admin. The testing was performed to verify that the system works as it should be, especially for information searching. The results show that searchingusing lowercase and without stopword, or punctuation gives better similarity index. Searching using unigram also has better similarity index.
Co-Authors ADELIA Adelia Adelia, Adelia Agiharta, Kafka Febianto Anderson, Francis Andreas Widjaja Andreas Widjaja Bernard Renaldy Suteja Billy Susanto Panca Budiman, Vincent Elbert Daniel Jahja Surjawan Diana Trivena Yulianti Doro Edi Dzikri Robbi Erick Renata Feliks Victor Parningotan Samosir Felix Christian Jonathan Francis Anderson Francis Anderson Kojongian Hapnes Toba Hendra Bunyamin Hendra Bunyamin Hendra Bunyamin Jaya, Try Atmaja Linggan Jingga, Kenny Johan, Meliana Christianti Joseph Sanjaya Julianti Kasih Julianti Kasih Julianti Kasih, Julianti Kafka Febianto Agiharta Kenny Jingga Kojongian, Francis Anderson Lemmuela , Ivana Valentina Liliawati, Swat Lie Liman, Nathanael Loudry Palmarums Mustamu Maresha Caroline Wijanto Maresha Caroline Wijanto Maresha Caroline Wijanto Maresha Caroline Wijanto Maresha Caroline Wijanto Metayani, Vanessa Mu’min, Aziz Mustamu, Loudry Palmarums Nathanael Liman Nava, Vardina Neil Casaandra Sudharmono, Neil Casaandra Nikita Rebeca Yemima Kolinug Oktavianus Yopi Wardana Oscar Karnalim, Oscar Renata, Erick Risal Risal Risal Risal Risal Robbi, Dzikri Robby Tan Rossevine Artha Nathasya Sanjaya, Joseph Sendy Ferdian Sujadi Setia Budi Setia Budi Setia Budi Teddy Marcus Zakaria Tjatur Kandaga Try Atmaja Linggan Jaya Valentina, Ivana Vanika Ipsandy Veby Agustin, Giezka Vincent Elbert Budiman Wenny Franciska Senjaya Yolanda Trixie Hernita