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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Edukasi dan Penelitian Informatika (JEPIN) JUITA : Jurnal Informatika POSITIF Jurnal Hukum Novelty Sistemasi: Jurnal Sistem Informasi JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Informatika Universitas Pamulang DoubleClick : Journal of Computer and Information Technology Jurnal Penelitian dan Pengabdian Kepada Masyarakat UNSIQ KOMPUTIKA - Jurnal Sistem Komputer Jurnal Repositor Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Informatika dan Teknologi Komputer ( J-ICOM) IICS JHCLS Jurnal Nasional Teknik Elektro dan Teknologi Informasi Makara Journal of Technology Jurnal Pengabdian Hukum Indonesia
Wicaksono, Galih Wasis
Universitas Muhammadiyah Malang
Chemical Engineering, Chemistry & Bioengineering 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 Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Other

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Implementation of Virtual Reality Moot Court for Simulation and Procedural Law Learning of the Constitutional Court Hidayah, Nur Putri; Wicaksono, Galih Wasis; Perdana, Muhammad Ilham; Faiz, Ahmad; Cholidah, -
JOIV : International Journal on Informatics Visualization Vol 8, No 4 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.4.3125

Abstract

The limited space for moot court simulations in law learning is one of the main obstacles. In the Constitutional Court's judicial practice, no faculty has a Moot courtroom identical to the actual courtroom. Every law student must be able to practice trial to improve their argumentation, advocacy, legal reasoning, and other problem-solving skills. This research aims to build and develop a Virtual Reality (VR) Moot Court that can be used as a Moot Court in the trial of the Constitutional Court. VR Moot Court is a means of practicum in the constitutional procedure law course. This research was carried out through scenario preparation and system design stages, followed by 3D asset optimization, user interaction design, multi-user design, and testing. This research utilizes Unity to build 3D assets and Spatial.io as a VR platform. For more immersive use, users can use VR headsets such as Oculus. However, VR Moot Court can also be accessed via smartphone or PC for broader use. The development of VR Moot Court is quite complex, requiring the optimization of assets used across various devices. This study optimizes poly, texture, material, and lighting. The results of VR Moot Court development in this study tested the system's functionality and measured the optimization results. The results of system optimization tests have shown a decrease in GPU and CPU usage. Meanwhile, the results of the functionality and user satisfaction tests also show that VR Moot Court, in addition to taking course learning outcomes in the constitutional court's procedural law course, this system is also relevant to the actual Constitutional Court courtroom. This research in the future requires the development of a type of moot courtroom for other kinds of courts.
Implementasi Sistem Rekomendasi Film Berbasis Collaborative Filtering: Studi Kasus MovieLens Syuyukh, Fakhrusy; Wicaksono, Galih Wasis; Nuryasin, Ilyas
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 10, No 2 (2025): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v10i2.892

Abstract

Movie recommendation systems often face challenges such as data sparsity and cold-start. This study compares three Collaborative Filtering (CF) approaches: User-Based, Item-Based, and Singular Value Decomposition (SVD) on the MovieLens dataset. Evaluation is performed using RMSE, MAE, Precision@10, and Recall@10 metrics. The results show that SVD with n_factors = 50 provides the best accuracy (RMSE 0.8695; MAE 0.6682), while Item-Based with k = 10 excels in recommendation relevance (Precision@10 0.5510; Recall@10 0.6267). This study provides a reference in selecting a recommendation algorithm based on the context of system needs.
Metaverse as the Solution to the Absence of a Constitutional Court Moot Courtroom in Universities Hidayah, Nur Putri; Wicaksono, Galih Wasis; Amiludin, Amiludin; Al Sakinata, Annisa'; Arcelia, Allysa Sonia; Andesti, Kiki; Muafika, Siti Nurmala Lailatul; Saleha, Meisya Maulidina
Jurnal Pengabdian Hukum Indonesia Vol. 7 No. 2 (2024): (July-December, 2024)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jphi.v7i2.2477

Abstract

Courses related to procedural law are practicum courses with Course Learning Outcomes (CLO)/ Capaian Pembelajaran Mata Kuliah (CPMK) students who can simulate trials in court. In this case, the moot courtroom's urgency is to provide an infrastructure for students to conduct moot trials. One of the practicum courses is the Constitutional Court's Judicial Procedural Law. Students who take this course must be competent and able to practice in the objective realm of justice. However, based on the observation and tracing results, the service activities' partners do not have a moot courtroom in the constitutional court, so they cannot carry out moot court in the course. Digital/virtual space, known as Metaverse, is a solution for procuring infrastructure for the constitutional court's moot courtroom. The results of this service show that the Metaverse Moot Court of the Constitutional Court is an appropriate technology-based product that is the only quick solution to the absence and limitations of the Constitutional Court's moot courtroom at Partner universities. Partners do not need to spend millions to billions of Rupiahs to procure facilities and infrastructure for the Constitutional Court's moot courtroom. In addition, this product is a solution to time constraints, considering that the campus has operational hours while students are still required to be proficient in practicing proceedings at the Constitutional Court. Finally, the virtual reality technology product implemented in this pseudo-courtroom provides an immersive experience like the real atmosphere in the courtroom. It makes students more excited and increases motivation to practice the trial.
Market Basket Analysis using the Frequent Pattern Growth Algorithm at RJ Mart Melaris arrafiq, ubay hakim; Azhar, Yufis; Wicaksono, Galih Wasis
Sistemasi: Jurnal Sistem Informasi Vol 13, No 4 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i4.3634

Abstract

Marketing strategy in a business is a major factor in the success or failure of a business both micro, medium and macro. With an effective and efficient marketing strategy It is hoped that it can increase income to the maximum. Currently, technological developments are very fast, including carrying out transactions that are directly connected to the database, resulting in very large data growth. The data itself can be used as a source of information to determine the right marketing strategy. The main aim of this research is to maximize the existing marketing strategy at RJ Mart Melaris by utilizing data as a source of information and consideration. The choice of Market Basket Analysis as a method for utilizing data is because these medium-sized businesses need consideration to develop sales by forming effective product packages. Frequent Pattern Growth is used as an effective algorithm to form combinations of product items or what is usually called an association rule. Some of the benefits resulting from this research are knowing how likely a product is to be purchased at the same time as other products, what products are sold the most and the least so that you can maximize stock of goods, and the relationship between products to maximize the placement of goods. This research produced 8 Association Rules or product combinations with 6 different items. The strongest rule that is generated is that if you buy special fried Indomie and chicken curry Indomie, you will definitely also buy special chicken Indomie with an association strength of 8,472. Meanwhile, the item that is most often purchased together with other items is the special fried Indomie, which sells 50% together with the special chicken curry Indomie and special chicken Indomie. Apart from that, this research also produced 2 different groups of items, each item in the group has a sales relationship.
Analysis of the Alignment of Bauran System Features Based on Outcome-Based Education Rules Using Feature-Oriented Domain Analysis Wicaksono, Galih Wasis; Saleh, Abd; Wahyuni, Evi Dwi; Setiawan, Erwin Budi
JOIV : International Journal on Informatics Visualization Vol 8, No 3-2 (2024): IT for Global Goals: Building a Sustainable Tomorrow
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.3-2.2895

Abstract

Implementing information systems in higher education curriculum design is a crucial tool for academics, enabling them to design, develop, and evaluate the curriculum more dynamically, responsively, and structurally. However, it is not just about having a tool. It is about ensuring that the tool aligns with curriculum design standards. This study, therefore, measures and analyses the conformity of the Bauran system as a curriculum management information system with the established stages and standards of curriculum design. The analysis is based on the Indonesia National Standards for Higher Education (Standar Nasional Pendidikan Tinggi (SN DIKTI)) by referring to the Guidebook for Higher Education Curriculum Development in Indonesia and best practices in the implementation of Outcome-Based Education (OBE) curriculum design. The method used in this research is feature-oriented domain analysis (FODA), which includes context analysis, domain modeling, and architecture modeling. Experts in the field of OBE curriculum then validate the results of feature measurement and mapping. The study compares 27 Bauran features to 10 stages in the curriculum design guidebook and nine stages in the OBE curriculum design flow. The analysis results show that the Bauran system has implemented 10 out of 10 stages (100%) of curriculum design according to the curriculum design guidebook. However, Bauran has only implemented 8 out of 9 stages (89%) in the OBE curriculum flow. These findings not only provide feature recommendations for future Bauran development and other higher education curriculum management systems but also highlight the potential of the Bauran system for future development.
Curriculum Management Systems for Blended Learning Support Asrini, Hari Windu; Wicaksono, Galih Wasis; Budiono, Budiono
JOIV : International Journal on Informatics Visualization Vol 7, No 4 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.7.4.1306

Abstract

The ongoing COVID-19 has left some serious impacts on education, bringing academic activities to a halt, and restrictions have been in place to hamper the proliferation of the virus. The utilization of technology these days plays a vital role in assisting students in attending education online or blended learning and keeping academic activities running. However, limited learning management systems present a new problem in online learning, especially in higher education. Thus, a new information system is required to resolve this issue. This study aims to develop the Bauran information system to assist lecturers in higher education with curriculum design and semester lesson plans and to evaluate the effectiveness of Bauran's implementation using the ISO 25010 model. The material used during the research process included the Bauran application, Guidelines for Developing Higher Education Curriculum, and some data from relevant users to test the application. Meanwhile, during the development stage of the research, the prototype method was used to adjust the development to the feedback given by stakeholders. This application received positive feedback from relevant users regarding the curriculum development flow in line with the Guidelines of Curriculum Drafting for Higher Education. Using the ISO 25010 model during the testing process, the results of user evaluations demonstrated its effectiveness with an average score of 4.84 out of 5. Future research is expected to evaluate the long-term effectiveness of Bauran using a larger sample size and a different software evaluation model.
Classification of Industrial Relations Dispute Court Verdict Document with XGBoost and Bidirectional LSTM Wicaksono, Galih Wasis; Nur Oktaviana, Ulfah; Noor Prasetyo, Said; Intana Sari, Tiara; Hidayah, Nur Putri; Yunus, Nur Rohim; Al-Fatih, Solahudin
JOIV : International Journal on Informatics Visualization Vol 7, No 3-2 (2023): Empowering the Future: The Role of Information Technology in Building Resilien
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.7.3-2.2373

Abstract

Industrial relations disputes (Perselisihan Hubungan Industrial (PHI)) are essential to examine because these disputes represent unbalanced bargaining positions between workers and corporations. On the other hand, there are many PHI documents, so they need to be classified and distinguished from other types of other decisions for other types of civil cases. PHI decisions document can be accessed openly from a special directory of civil courts. This ruling has similarities with other decisions regarding consumer protection or bankruptcy. This study used 450 documents consisting of 255 PHI court decisions and 255 non-PHI court decisions. This study takes the case as a classified part. We use several feature extractions and three methods: Support Vector Machine (SVM), Extreme Gradient Boosting (XGBoost), and Bidirectional Long Short-Term Memory (Bi-LSTM). For SVM and XGBoost classifier, we utilize Frequency-inverse document frequency (TF-IDF). Another classifier needs word embedding Glove Wikipedia Indonesian with a dimension size of 50. Various experiments conducted found that the best classification results used Bi-LSTM with Gloves. This classification has 100% accuracy without overfitting. We found the second result using XGBoost with parameters optimized using random search, while the lowest accuracy results were obtained using the SVM method. The accuracy of the classification results in this study can impact the availability and quality of open legal knowledge that can be utilized by society and for future research.
Automatic Summarization of Court Decision Documents over Narcotic Cases Using BERT Wicaksono, Galih Wasis; Al asqalani, Sheila Fitria; Azhar, Yufis; Hidayah, Nur Putri; Andreawana, Andreawana
JOIV : International Journal on Informatics Visualization Vol 7, No 2 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.7.2.1811

Abstract

Reviewing court decision documents for references in handling similar cases can be time-consuming. From this perspective, we need a system that can allow the summarization of court decision documents to enable adequate information extraction. This study used 50 court decision documents taken from the official website of the Supreme Court of the Republic of Indonesia, with the cases raised being Narcotics and Psychotropics. The court decision document dataset was divided into two types, court decision documents with the identity of the defendant and court decision documents without the defendant's identity. We used BERT specific to the IndoBERT model to summarize the court decision documents. This study uses four types of IndoBert models: IndoBERT-Base-Phase 1, IndoBERT-Lite-Bas-Phase 1, IndoBERT-Large-Phase 1, and IndoBERT-Lite-Large-Phase 1. This study also uses three types of ratios and ROUGE-N in summarizing court decision documents consisting of ratios of 20%, 30%, and 40% ratios, as well as ROUGE1, ROUGE2, and ROUGE3. The results have found that IndoBERT pre-trained model had a better performance in summarizing court decision documents with or without the defendant's identity with a 40% summarizing ratio. The highest ROUGE score produced by IndoBERT was found in the INDOBERT-LITE-BASE PHASE 1 model with a ROUGE value of 1.00 for documents with the defendant's identity and 0.970 for documents without the defendant's identity at a ratio of 40% in R-1. For future research, it is expected to be able to use other types of Bert models such as IndoBERT Phase-2, LegalBert, etc.
Text Summarization on Verdicts of Industrial Relations Disputes Using the Cross-Latent Semantic Analysis and Long Short-Term Memory Wicaksono, Galih Wasis; Hakim, Muhammad Nafi Maula; Hayatin, Nur; Hidayah, Nur Putri; Sari, Tiara Intana
JOIV : International Journal on Informatics Visualization Vol 7, No 3 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.7.3.2052

Abstract

The information presented in the documents regarding industrial relations disputes constitutes four legal disputes. However, too much information leads to difficulty for readers to find essential points highlighted in industrial relations dispute documents. This research aims to summarize automated documents of court decisions over industrial relations disputes with permanent legal force. This research involved 35 documents of court decisions obtained from Indonesia’s official Supreme Court website and employed an extractive summarization approach to summarize the documents by utilizing Cross Latent Semantic Analysis (CLSA) and Long Short-Term Memory (LSTM) methods. The two methods are compared to obtain the best results CLSA was employed to analyze the connection between phrases, requiring the ordering of related words before they were converted into a complete summary. Then, the use of LSTM is combined with the Attention module to decoder and encoder the information entered so that it becomes a form that can be understood by the system and provides a variety of splitting of documents to be trained and tested to see the highest performance that the system can generate. The research has found out that the CLSA method gave a precision of 79.1%, recall score of 39.7%, and ROUGE-1 score of 50.9%, and the use of LSTM was able to improve the performance of the CLSA method with the results obtained 93.6%, recall score of 94.5 %, and ROUGE-1 score of 93.9% on the variation of splitting 95% training and 5% testing.
Co-Authors Adi Bagus Setiawan Agus Eko Minarno Ahmad Faiz, Ahmad Ahmad Salam Rahim Al asqalani, Sheila Fitria Al Sakinata, Annisa' Al-Fatih, Solahudin Al-rizki, Muhammad Andi Aldiensyah Aldy Satria Gumilar Alfian Dwi Khoirul Annas Alfira Rizky Alimuddin Hasan Al Kabir Amiludin, Amiludin Aminudin Aminudin, Aminudin Andesti, Kiki Andjani Chaerun Nisha Andreawan Andreawana, Andreawana Anisa Dewi Anggraeni Arcelia, Allysa Sonia Aria Maulana Eka Mahendra arrafiq, ubay hakim Aulyah, Khairunnisa Azzahra, Kiara Basuki, Setio Bella Dwi Mardiana Budiono Budiono Budiono Budiono Chandranegara, Didih Rizki Cholidah, - Christian Sri Kusuma Aditya Christian Sri Kusuma Aditya Christian Sri kusuma Aditya, Christian Sri kusuma Dati Nafa Alfiana Didih Rizki Chandranegara Edo Ardhiansyah Eko Budi Cahyono Erwin Budi Setiawan Evi Dwi Wahyuni Fakhrul Nasrulloh Fath Dzulkifli Febri Ayu Fitriani Feny Aries Tanti Ferdiansyah, Danny Gilang Ramadhan Gita Indah Marthasari Hakim, Muhammad Nafi Maula Hardianto Wibowo Hari Windu Asrini Harmanto, Dani Hermansyah Adi Saputra Hilman Abi Sarwan Heryawan I'anatut Thoifah Ianatut Thoifah Intana Sari, Tiara Iqbal Fairus Zamani Kharisma Muzaki Ghufron Lathifah, Fildzah Maskur Maskur Muafika, Siti Nurmala Lailatul Muhammad Andi Al-Rizki Muhammad Farhansyah Muhammad Riadi Muhammad Risky Pratama Hermawan Muhammad Rojib Saiful Nisrina Arintia Maghfiroh Nizarullah Himawan Noor Prasetyo, Said Nur Hayatin Nur Oktaviana, Ulfah Nur Putri Hidayah Nuryasin, Ilyas Perdana, Muhammad Ilham Rakha Pradana Susilo Putra Ricky Hendrawan Rizka Nurlizah Rizky, Alfira Rizky, Wahyu Saiful Amien Saiful Arif, Mukhammad Rojib Saleh, Abd Saleha, Meisya Maulidina Sari, Tiara Intana Syuyukh, Fakhrusy Ulfah Nur Oktaviana Wahyu Budi Utomo Wildan Suharso Yuda Munarko Yufis Azhar Yunus, Nur Rohim Zakiyah Rakhmawati Zamah Sari