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All Journal Jurnal TIMES JURNAL MEDIA INFORMATIKA BUDIDARMA IJISTECH (International Journal Of Information System & Technology) KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) The IJICS (International Journal of Informatics and Computer Science) JURIKOM (Jurnal Riset Komputer) Building of Informatics, Technology and Science JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Journal of Computer System and Informatics (JoSYC) TIN: TERAPAN INFORMATIKA NUSANTARA MEANS (Media Informasi Analisa dan Sistem) Jurnal Pengabdian kepada Masyarakat Nusantara IJISTECH JPM: JURNAL PENGABDIAN MASYARAKAT Bulletin of Computer Science Research Journal of Social Responsibility Projects by Higher Education Forum Journal of Information Technology (JIfoTech) Bulletin of Information Technology (BIT) BEES: Bulletin of Electrical and Electronics Engineering Jurnal ABDIMAS Budi Darma Bulletin of Multi-Disciplinary Science and Applied Technology Jurnal Pengabdian Masyarakat Inovasi Journal of Computing and Informatics Research Bulletin of Artificial Intelligence KETIK : Jurnal Informatika ORAHUA : Jurnal Pengabdian Kepada Masyarakat Informatics
Guidio Leonarde Ginting
Universitas Budi Darma
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Journal : Journal of Computer System and Informatics (JoSYC)

 1 
Penerapan Algoritma Kriptografi Word Auto Key Encryption Dalam Untuk Pengamanan Soal Ujian Berbasis Komputer Salma Dola Silalahi; Guidio Leonarde Ginting
Journal of Computer System and Informatics (JoSYC) Vol 2 No 1 (2020): November 2020
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

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

Abstract

The computer-based Final Semester Examination (UAS) held at the Dwiwarna Private Vocational School in Medan was carried out with the help of a web-based application. The application display is divided into two parts, namely the web client accessed by students and the web admin accessed by administrators who have authority. Exam questions are an important aspect of assessing student ability. The problem that occurs is that the record of exam questions stored in the exam database by the admin is very vulnerable to access and can be read by students in the admin menu when inputting questions. This happens because there is no safety record database of questions in the exam web application. Therefore we need a cryptographic security technique. Cryptographic techniques can secure the record of questions by randomizing the value of the incoming question character into a value that is not understood. This research will encrypt the computerized exam database question records with the Word Auto Key Encryption (WAKE) algorithm when the admin enters the questions in the admin web. While the decryption process using the WAKE algorithm is carried out by the application system when the web client is accessed by students by logging in and pressing the start test button
Penerapan Metode Pembobotan ROC Dan Metode WASPAS Pada Sistem Pendukung Keputusan Seleksi Pemilihan Penerima Bantuan UKT Dito Putro Utomo; Guidio Leonarde Ginting
Journal of Computer System and Informatics (JoSYC) Vol 4 No 1 (2022): November 2022
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i1.1984

Abstract

The impact of the Covid-19 pandemic that is felt by the community is the paralysis of all daily activities. As a result, the cessation of work for a long time causes the company's economy to cripple and results in many companies losing money and making Termination of Employment (PHK) for employees or employees. For the heads of families, the termination of employment (PHK) experienced, of course, has a fairly heavy impact. There are many bad impacts caused by Termination of Employment (PHK) such as not being able to continue education for children, especially in college due to not being able to pay tuition fees every semester. Therefore, to overcome this problem, the government created a Single Tuition Assistance (UKT) program. However, the UKT assistance provided by the government was not able to cover all the financing needs for students who were affected by the Covid-19 pandemic. Limiting quotas for recipients of Resident Tuition (UKT) assistance for Budi Darma University is a new problem, of course. Decision Support System is a computerized system on a computer that is used to support decision making in organizations. The Weighted Aggregated Sum Product Assessment (WASPAS) method is a combined method consisting of the WP method and the SAW method, the WASPAS method is expected to provide better results in helping to determine the decision support system. To support obtaining optimal and objective results, a weighting method is needed, namely the ROC method. Based on the above discussion, the research that will be carried out is to select students who receive Single Tuition (UKT) assistance. The results showed that the four alternatives with the highest preference scores received UKT assistance, namely A6, A5, A4, A3
Sentiment Analysis of Tokopedia Customer Reviews using IndoBERT and SMOTE for Class Imbalance Handling Saputra, Imam; Mesran, Mesran; Ginting, Guidio Leonarde
Journal of Computer System and Informatics (JoSYC) Vol 7 No 1 (2025): November 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v7i1.8748

Abstract

Sentiment analysis in the Indonesian e-commerce sector faces significant challenges due to the informal nature of language and severe class imbalance, where neutral reviews are often underrepresented. This research proposes a hybrid framework combining the deep semantic capabilities of IndoBERT with the Synthetic Minority Over-sampling Technique (SMOTE) to improve classification fairness. Using a dataset of Tokopedia customer reviews, this study compares a baseline model against a balanced model using SMOTE on 768-dimensional IndoBERT features. The experimental results reveal that while the baseline model achieved a high overall accuracy of 83%, it suffered from an "accuracy paradox," exhibiting a dismal recall of only 0.07 for the neutral class. Upon implementing SMOTE, the neutral class recall surged to 0.29, marking a significant 314% improvement in minority class detection. Although overall accuracy slightly decreased to 81%, the Macro Average F1-Score increased from 0.61 to 0.65, proving that the model is more robust and objectively reliable across all sentiment polarities. This study demonstrates that sacrificing marginal accuracy for improved minority sensitivity is vital for providing accurate business intelligence in the digital marketplace. These findings provide a robust roadmap for developing more equitable automated sentiment analysis systems in Indonesia.
Co-Authors A M Hatuaon Sihite A.M Hatuaon Sihite Abdul Wahab Nainggolan Adelina, Putri Dani Adelina, Putri Dani Alwin Fau Anas, Irfan Andini, Nadira Ayu Novita Sari Azni, Ayu Iryanti Berta Rohana Br Purba Dian Puspita Napitupulu Diana Marta Didik Didik Dito Putro Utomo Dodi Siregar Dodi Siregar Edward R. Siagian Eko Setia Budi Fadlina Fince Tinus Waruwu Fince Tinus Waruwu Fitri Afriani Lubis Fricia Oktaviani Panjaitan Ginting, Permanan Gule, Senima Harahap, Annisa Fitri Hariska, Elvia Hery Sunandar Imam Saputra Imam Saputra Intan, Novia Jaafar, Mime Azrina Joni Alpensius Simatupang Juleha Juleha Jumantri Tua Beruntung Silaen Khairul Ihsan, Khairul Kurnia Ulfa Kusmanto Kusmanto Lince Tomoria Sianturi M. Rian Warisman Sinaga Maringan Sianturi Marpaung, July Yanti Melda Panjaitan Meryance Viorentina Siagian Mesran, Mesran Minarni Pratama Mizwar, Tedi Muhammad Ansori Nasution Natalia Silalahi Natalia Silalahi Natalia Silalahi Natalia Silalahi Natalia Silalahi, Natalia Natalius Tafonao Ndruru, Eferoni Nelly Astuti Hasibuan Pakpahan, Elsi Yulianti Panjaitan, Melda Permanan Ginting Pratama, Minarni Pristiwanto Pristiwanto Purba, Lamrianto Purba, Lamrianto Putri Ramadhani Ridho Adrian Rivalri K Hondro Rivalri Kristianto Hondro Rivalry Kristianto Hondro Ryan Syahputra S Sunaryo Salma Dola Silalahi Samsir Samsir, Samsir Sari, Herlina Sembiring, Abdul Sani Sinambela, Zulhan Sentoso Soeb Aripin Suginam Suha Alvita Suhada Suhada Sunaryo, S Surya Darma Nasution Syahputra, Fahmy Syahputra, Fajar Syukur Novertiani Gulo Taronisokhi Zebua Tedi Mizwar Tinambunan, Arnita Ulfa, Kurnia Y Ayu Putri Gabriella S Zulhan Sentoso Sinambela