Software Keyphrase Extraction with Domain-Specific Features. - Oscar Karnalim (ACOMP, 2016)

Medical Specialists Retrieval System Using Unified Medical Language System. - Aulia Zahrina Qashri; Oscar Karnalim; Hapnes Toba (ICMHI, 2017)

An Abstract Method Linearization for Detecting Source Code Plagiarism in Object-Oriented Environment. - Oscar Karnalim (CoRR, 2017)

Which Source Code Plagiarism Detection Approach is More Humane? - Oscar Karnalim; Lisan Sulistiani (iCAST, 2018)

FACE - Face At Classroom Environment: Dataset and Exploration. - Oscar Karnalim; Setia Budi; Sulaeman Santoso; Erico D. Handoyo; Hapnes Toba; Huyen Nguyen 001; Vishv Malhotra (IPTA, 2018)

IBAtS - Image Based Attendance System: A Low Cost Solution to Record Student Attendance in a Classroom. - Setia Budi; Oscar Karnalim; Erico D. Handoyo; Sulaeman Santoso; Hapnes Toba; Huyen Nguyen 001; Vishv Malhotra (ISM, 2018)

The Effectiveness of Low-Level Structure-based Approach Toward Source Code Plagiarism Level Taxonomy. - Oscar Karnalim; Setia Budi (CoRR, 2018)

Dynamic Thresholding Mechanisms for IR-Based Filtering in Efficient Source Code Plagiarism Detection. - Oscar Karnalim; Lisan Sulistiani (CoRR, 2018)

A Quasi-Experimental Design to Evaluate the Use of PythonTutor on Programming Laboratory Session. - Oscar Karnalim; Mewati Ayub (Int. J. Online Eng., 2018)

Similarity Detection Techniques for Academic Source Code Plagiarism and Collusion: A Review. - Oscar Karnalim; Simon; William J. Chivers (TALE, 2019)

ES-Plag: Efficient and sensitive source code plagiarism detection tool for academic environment. - Lisan Sulistiani; Oscar Karnalim (Comput. Appl. Eng. Educ., 2019)

Automated Hints Generation for Investigating Source Code Plagiarism and Identifying The Culprits on In-Class Individual Programming Assessment. - Ariel Elbert Budiman; Oscar Karnalim (Comput., 2019)

Source Code Plagiarism Detection in Academia with Information Retrieval: Dataset and the Observation. - Oscar Karnalim; Setia Budi; Hapnes Toba; Mike Joy (Informatics Educ., 2019)

IR-based technique for linearizing abstract method invocation in plagiarism-suspected source code pair. - Oscar Karnalim (J. King Saud Univ. Comput. Inf. Sci., 2019)

Syntax Trees and Information Retrieval to Improve Code Similarity Detection. - Oscar Karnalim; Simon (ACE, 2020)

Selection of Code Segments for Exclusion from Code Similarity Detection. - Simon; Oscar Karnalim; Judy Sheard; Ilir Dema; Amey Karkare; Juho Leinonen 001; Michael Liut; Renée McCauley (ITiCSE, 2020)

Choosing Code Segments to Exclude from Code Similarity Detection. - Simon; Oscar Karnalim; Judy Sheard; Ilir Dema; Amey Karkare; Juho Leinonen 001; Michael Liut; Renée McCauley (ITiCSE-WGR, 2020)

Disguising Code to Help Students Understand Code Similarity. - Oscar Karnalim; Simon (Koli Calling, 2020)

Preprocessing for Source Code Similarity Detection in Introductory Programming. - Oscar Karnalim; Simon; William J. Chivers (Koli Calling, 2020)

TF-IDF Inspired Detection for Cross-Language Source Code Plagiarism and Collusion. - Oscar Karnalim (Comput. Sci., 2020)

Comparing the Impact of Programming Assessment Type: In-Class Vs Take-Home. - Oscar Karnalim; Gisela Kurniawati; Sendy Ferdian Sujadi; Rossevine Artha Nathasya (Int. J. Eng. Pedagog., 2020)

Programming Style on Source Code Plagiarism and Collusion Detection. - Oscar Karnalim; Gisela Kurniawati (Int. J. Comput., 2020)

A Scalable Code Similarity Detection with Online Architecture and Focused Comparison for Maintaining Academic Integrity in Programming. - Ricardo Franclinton; Oscar Karnalim; Mewati Ayub (Int. J. Online Biomed. Eng., 2020)

An Automated Attendance System in Academia with Implicit Authentication via Mobile Devices and Wi-Fi Connection. - Billy Susanto Panca; Yansen Paulus; Oscar Karnalim (Int. J. Online Biomed. Eng., 2020)

Work-in-Progress: Syntactic Code Similarity Detection in Strongly Directed Assessments. - Oscar Karnalim; Simon; Mewati Ayub; Gisela Kurniawati; Rossevine Artha Nathasya; Maresha Caroline Wijanto (EDUCON, 2021)

Transitioning from Offline to Online Learning: Issues from Computing Student Perspective. - Maresha Caroline Wijanto; Oscar Karnalim; Mewati Ayub; Hapnes Toba; Robby Tan (EDUCON, 2021)

Promoting Code Quality via Automated Feedback on Student Submissions. - Oscar Karnalim; Simon (FIE, 2021)

Relationship between Code Similarity and Course Semester in Programming Assessments. - Oscar Karnalim; Simon (ICALT, 2021)

Transitioning to Online Learning for Indonesian High School Students: Challenges and Possible Solutions. - Oscar Karnalim; Maresha Caroline Wijanto (ICALT, 2021)

Automated, Personalised, and Timely Feedback for Awareness of Programming Plagiarism and Collusion. - Oscar Karnalim (ICER, 2021)

Common Code Segment Selection: Semi-Automated Approach and Evaluation. - Oscar Karnalim; Simon (SIGCSE, 2021)

Programming Plagiarism and Collusion: Student Perceptions and Mitigating Strategies in Indonesia. - Oscar Karnalim; Irwan Alnarus Kautsar; Bayu Rima Aditya; Yogi Udjaja; Matahari Bhakti Nendya; I Nyoman Darma Kotama (TALE, 2021)

Online Teaching on Student Programming Performance During the Pandemic. - Oscar Karnalim; Gisela Kurniawati; Sendy Ferdian Suiadi (TALE, 2021)

Explanation in Code Similarity Investigation. - Oscar Karnalim; Simon (IEEE Access, 2021)

Work-In-Progress: Code Quality Issues of Computing Undergraduates. - Oscar Karnalim; Simon; William J. Chivers (EDUCON, 2022)

Online Learning for High Quality Education: Perspective of Indonesian Educators. - Oscar Karnalim; Afifah Muharikah; Sunarto Natsir (ICALT, 2022)

Work-in-Progress: The Impact of Computational Thinking on Introducing Programming: Quasi-experiment and Student Perception. - Mewati Ayub; Oscar Karnalim; Maresha Caroline Wijanto; Robby Tan; Risal; Rossevine Artha Nathasya (ICL (2), 2022)

Non-game Incentives in Gamified Programming Education: More Marks or Prizes. - Oscar Karnalim; Simon; William J. Chivers (ICL (1), 2022)

Leveraging Community Software in CS Education to Avoid Reinventing the Wheel. - Jeremiah J. Blanchard; John R. Hott; Vincent Berry; Rebecca Carroll; Bob Edmison; Richard Glassey; Oscar Karnalim; Brian Plancher; Seán Russell 001 (ITiCSE (2), 2022)

Stop Reinventing the Wheel! Promoting Community Software in Computing Education. - Jeremiah J. Blanchard; John R. Hott; Vincent Berry; Rebecca Carroll; Bob Edmison; Richard Glassey; Oscar Karnalim; Brian Plancher; Seán Russell 001 (ITiCSE-WGR, 2022)

Automated Reporting of Code Quality Issues in Student Submissions. - Oscar Karnalim; Simon; William J. Chivers; Billy Susanto Panca (WCCE, 2022)

Mitigating Accidental Code Plagiarism in a Programming Course Through Code Referencing. - Muftah Afrizal Pangestu; Simon; Oscar Karnalim (WCCE, 2022)

Layered similarity detection for programming plagiarism and collusion on weekly assessments. - Oscar Karnalim; Simon; William J. Chivers (Comput. Appl. Eng. Educ., 2022)

Educating Students about Programming Plagiarism and Collusion via Formative Feedback. - Oscar Karnalim; Simon; William J. Chivers; Billy Susanto Panca (ACM Trans. Comput. Educ., 2022)

Identifying Code Plagiarism on C# Assignments. - Oscar Karnalim (ICALT, 2023)

Plagiarism and AI Assistance Misuse in Web Programming: Unfair Benefits and Characteristics. - Oscar Karnalim; Erico Darmawan Handoyo; Hapnes Toba; Yehezkiel David Setiawan; Meliana Christianti Johan; Josephine Alvina Luwia (TALE, 2023)

Inappropriate Benefits and Identification of ChatGPT Misuse in Programming Tests: A Controlled Experiment. - Hapnes Toba; Oscar Karnalim; Meliana Christianti Johan; Terutoshi Tada; Yenni Merlin Djajalaksana; Tristan Vivaldy (CoRR, 2023)

Gamification to Help Inform Students About Programming Plagiarism and Collusion. - Oscar Karnalim; Simon; William J. Chivers (IEEE Trans. Learn. Technol., 2023)

Detecting LLM-Generated Text in Computing Education: Comparative Study for ChatGPT Cases. - Michael Sheinman Orenstrakh; Oscar Karnalim; Carlos Aníbal Suárez; Michael Liut (COMPSAC, 2024)

Perspective of AI Chatbots in K-12 Education. - Oscar Karnalim; Mewati Ayub; Krismanto Kusbiantoro (ICALT, 2024)

A Large Language Model Question Generator Based on Bloom's Taxonomy Template. - Hapnes Toba; Laurentius Gusti Ontoseno Panata Yudha; Oscar Karnalim; Hendra Bunyamin; Terutoshi Tada (ICEEL, 2024)

The Effectiveness of Hedy and Python Tutor in Helping Students Learning Programming. - Mewati Ayub; Oscar Karnalim (MIPRO, 2024)

AI in and for K-12 Informatics Education. Life after Generative AI. - Erik Barendsen; Violetta Lonati; Keith Quille; Rukiye Altin; Monica Divitini; Sara Hooshangi; Oscar Karnalim; Natalie Kiesler; Madison Melton; Calkin Suero Montero; Anna Morpurgo (SIGCSE Virtual (2), 2024)

Simulating Similarities to Maintain Academic Integrity in Programming. - Oscar Karnalim (Informatics Educ., 2024)

Reporting less coincidental similarity to educate students about programming plagiarism and collusion. - Oscar Karnalim; Simon; William J. Chivers (Comput. Sci. Educ., 2024)

Detecting AI assisted submissions in introductory programming via code anomaly. - Oscar Karnalim; Hapnes Toba; Meliana Christianti Johan (Educ. Inf. Technol., 2024)

Summarizing Computer Science Teaching Assistant Feedback with Large Language Models. - Suqing Liu; Lisa Zhang; Oscar Karnalim; Michael Liut (COMPSAC, 2025)