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Peran Bahasa Dalam Membentuk Identitas Budaya Dan Budaya Situmorang, Andreas; Ghipari, Maulana; Halawa, Enggi; Siahaan, Daniel; Ramadhani, Nia; Bawamenewi, Yuliaman; Sitohang, Francisko; Siahaan, Gabriel
Jurnal Ilmu Sosial, Humaniora dan Seni Vol. 4 No. 2 (2025): September - Oktober
Publisher : CV. ITTC INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62379/jishs.v4i2.3641

Abstract

Bahasa merupakan aspek fundamental yang tidak hanya berfungsi sebagai alat komunikasi, tetapi juga sebagai sarana pembentukan, penguatan, dan pelestarian identitas budaya suatu masyarakat. Melalui bahasa, nilai-nilai, norma, sistem kepercayaan, serta tradisi ditransmisikan dari generasi ke generasi sehingga memungkinkan terjadinya kesinambungan budaya. Bahasa juga berperan sebagai simbol identitas yang mempertegas perbedaan dan keunikan suatu kelompok sosial dari kelompok lain, baik dalam lingkup lokal, nasional, maupun global. Identitas budaya yang dibangun melalui bahasa tidak bersifat statis, melainkan dinamis, karena terus beradaptasi dengan perkembangan zaman, teknologi, serta interaksi antarbudaya. Dalam konteks globalisasi, bahasa menghadapi tantangan besar berupa dominasi bahasa internasional yang berpotensi menggeser eksistensi bahasa daerah dan melemahkan identitas budaya lokal. Namun demikian, bahasa juga dapat menjadi instrumen perlawanan kultural melalui revitalisasi bahasa daerah, penguatan literasi, serta kebijakan bahasa yang mendukung keragaman linguistik. Dengan demikian, bahasa memiliki peran strategis dalam menjaga keseimbangan antara pelestarian kearifan lokal dan keterbukaan terhadap pengaruh global. Kesadaran akan peran bahasa dalam membentuk identitas budaya sangat penting untuk memperkuat jati diri bangsa, mendorong dialog antarbudaya, serta menciptakan harmoni dalam kehidupan masyarakat yang semakin plural dan multikultural.
TRANSFORMATION FROM SEMANTIC DATA MODEL TO RDF Daniel Oranova Siahaan
JUTI: Jurnal Ilmiah Teknologi Informasi Vol 3, No 2 Juli 2004
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (229.987 KB) | DOI: 10.12962/j24068535.v3i2.a263

Abstract

There have been several efforts to use relational model and database to store and manipulate Resource Description Framework (RDF). They have one general disadvantage, i.e. one is forced to map the model of semantics of RDF into relational model, which will end up in constraints and additional properties, such as, validating each assertion against the RDF schema which also stored as a triplets table. In this paper, we introduce Semantic Data Model as a proposed data model language to store and manipulate Resource Description Framework. This study also tries to prescribe the procedure on transforming a semantic data model into a RDF data model. Keyworsd: Semantic Data Model, Resource Description Framework.
NOISE DETECTION IN SOFTWARE REQUIREMENTS SPECIFICATION DOCUMENT USING SPECTRAL CLUSTERING Patricia Gertrudis Manek; Daniel Siahaan
JUTI: Jurnal Ilmiah Teknologi Informasi Vol 17, No. 1, Januari 2019
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24068535.v17i1.a771

Abstract

Requirements engineering phase in software development resulting in a SRS (Software Requirements Specification) document. The use of natural language approach in generating such document has some drawbacks that caused 7 common mistakes among the engineer which had been formulated by Meyer as "The 7 sins of specifier". One of the 7 common mistakes is noise. This study attempted to detect noise in software requirements with spectral clustering. The clustering algorithm working on fewer dimensions compared to others. The resulting kappa coefficient is 0.4426. The result showed that the consistency between noise prediction and noise assessment made by three annotators is still low.
FRECOMTWEET: PRODUCT RECOMMENDATION APPLICATION USING FRIENDSHIP CLOSENESS ON TWITTER Ratih Nur Esti Anggraini; Ainatul Maulida; Daniel Oranova Siahaan
JUTI: Jurnal Ilmiah Teknologi Informasi Vol. 20, No. 1, January 2022
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24068535.v19i3.a1104

Abstract

The information and communication technology development makes someone interact with each other easier. This convenience is used to exchange ideas, like using social media Twitter for product recommendations before buying it. It brings up a trend that consumers seek product recommendations through other people on social media. Social media, especially Twitter, has several features such as tweets, ReTweet and mentions to interact with other people. Users can describe the product, attach a link, and give a positive or negative rating in a tweet. These types of tweets can be used as an alternative to product recommendations. FrecomTweet is an Android-based product recommendation application that can detect close friendships based on the user’s ReTweet and mentions. This application also detects a product recommendation that appears in a conversation between users. This detection uses the keyword filtering method, which matches the conversation content with the markers in the database. If the conversation has a positive rating, it will recommend the user’s closest friends. This research uses a crawling method with the Twitter API streaming filter built using the CodeIgniter framework. The results of the black box test show that Twitter user conversations can be used as a product recommendation with a precision and recall value of 0.94 and 0.81, respectively.
Extraction of Class Candidates from Scenario in Software Requirements Specifications Rasi Aziizah Andrahsmara; Siahaan, Daniel Oranova
ULTIMA InfoSys Vol 16 No 2 (2025): Ultima InfoSys : Jurnal Ilmu Sistem Informasi
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31937/si.v16i2.4325

Abstract

The development of software applications involves translating software requirement specifications (SRS) into structured models that guide system design. Among these, sequence diagrams are essential for visualizing dynamic interactions, but their manual construction from natural language descriptions is often error-prone and time-consuming. This study proposes an automated method for extracting sequence diagram elements namely classes, subclasses, and attributes from scenario sections of SRS documents. The approach leverages Natural Language Processing (NLP) techniques, combining Bidirectional Encoder Representations from Transformers (BERT) for contextual embeddings and Support Vector Machine (SVM) for classification. Noun phrases are identified and classified into UML-relevant entities using this hybrid model. To evaluate performance, two datasets SIData and SILo were used, each exhibiting distinct textual styles and domain characteristics. The system’s effectiveness was assessed using standard evaluation metrics such as precision, recall, and F1-score. Results indicate that the method is capable of capturing contextual relationships between extracted elements, although its performance varies across datasets, suggesting the need for further refinement. Overall, the study contributes toward automating early software design phases and reducing manual modeling effort.
Repolink: A Repository Driven Technique for Reconstruct-ing Missing Links in Business Process Model Kristina , Kristina; Shiddiqi, Ary Mazharuddin; Siahaan, Daniel Oranova; Forca, Adrian
Journal of Information Systems Engineering and Business Intelligence Vol. 12 No. 1 (2026): February
Publisher : Universitas Airlangga

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

Abstract

Background: The development of modern organization emphasizes the importance of accurate and comprehensive business process models (BPMs). BPMs serves to provide clear work standards for business actors. Business Process Model and Notation (BPMN) is widely used to model and analyse business processes. However, BPM models in practice often contain missing or inconsistent control-flow links, which reduce model correctness and limit effective analysis. Existing BPM retrieval approaches mainly focus on similarity measurement and provide limited support for explicit missing-link reconstruction. Objective: This study aims to propose a repository-driven approach to detect and reconstruct missing control-flow links in BPMN models while preserving computational efficiency and explainability. Methods: This study employs a quantitative experimental methodology on the use of an application called Repolink., a graph-based technique that transforms BPMN models into directed graphs and computes structural similarity values using Graph Edit Distance combined with semantic weighting. A query BPMN model is compared against a repository of reference BPMN models to identify structural inconsistencies. Missing links are detected using adjacency comparison supported by forward and reverse mappings. Results: The results show that Repolink can detect and reconstruct missing control-flow links in various BPMN structures, including branching and loop-related patterns. It is also able to significantly generate efficient retrieval with an overall time complexity of , where  is the number of nodes and  is the number of repository models. Compared to existing methods, Repolink provides higher explainability by explicitly reporting missing edges. Conclusion: Repolink effectively supports missing-link reconstruction in BPMN models through a repository-driven and explainable approaches. While the method focuses on structural analysis rather than full behavioural semantics, it offers a practical solution for BPMN conformance checking and model debugging.   Keywords: Information Retrieval, Diagram Similarity, Structural Semantic, Graph Edit Distance, Greedy Algorithm
Co-Authors Aang Kisnu Darmawan Abd. Rasyid Syamsuri Achmad An'im Fahmi Achmad, Fariz Adi Kurniawan Aditya Eka Bagaskara Ahmad Saikhu Ahmadiyah, Adhatus Solichah Ainatul Maulida Akbar, Rizky Januar Albert Bungaran Manik Amalia, Rosa Amien Widodo Andi Besse Firdausiah Andini Prastiwi Andrias Meisyal Yuwantoko Anggraini, Ratih Nur Esti Ansyah, Adi Surya Suwardi Anwari Anwari Anwari, Anwari Arif Djunaidy Arif Susanto Arif Wibisono Ary Mazharuddin Shiddiqi Asyrofi, Raka Baskoro, Fajar Bawamenewi, Yuliaman Busro Umam Cahya Bagus Sanjaya Chastine Fatichah Dady Khairul Imam Damanik, Juli Yanti Darnoto, Brian Depandi Enda Desepta Isna Ulumi Divi Galih Prasetyo Putri Dzhalila, Dzhillan Eko Prasetyo Evi Triandini F.X. Arunanto Fachrul Pralienka Bani Muhamad Fachrul Pralienka Bani Muhamad Fajar Baskoro Fajar Baskoro Fatimatus Zulfa Ferdika Bagus Permana Forca, Adrian FX Arunanto Ghipari, Maulana Halawa, Enggi Hamidi, Mohammad Zaenuddin Hoiriyah Hoiriyah Hoiriyah, Hoiriyah I Gede Suardika I Made Mika Parwita Imam Kuswardayan Indra Kharisma Raharjana Irfandianto, Taqarra Rayhan Irsyad Arif Mashudi Istighfar, Muhammad Bagus Ivan Agung Pandapotan izqi Paradisiaca , Brian R Karimi, Muhammad Ihsan Karolita, Devi Kristina , Kristina Kusuma, Selvia Ferdiana Luh Putu Ary Sri Tjahyanti Mauladani, Furqon Mirotus Solekhah Mohammad Nazir Arifin Muhamad, Fachrul Pralienka Bani Muhammad Dery Rahma Muhammad Ihsan Karimi Mutia Rahmi Dewi Nafi', Abdun Nafingatun Ngaliah Nanang Fakhrur Rozi Nugroho, Tri Yulianto Nuralamsyah, Bintang Nurul Fajrin Ariyani Nurul Jannah Pasaribu, Monalisa Patricia Gertrudis Manek Peter Gelu Pratama Wirya Atmaja Putra Kurniawan, Arya Putri, Rahmi Rizkiana Rahmi Rizkiana Putri Rakhmat Arianto Ramadhani, Nia Rasi Aziizah Andrahsmara Reza Fauzan Reza Fauzan Richard Alvin Sianturi Riduwan, Muhammad Risnauli Sumiati Sinaga Riyanarto Sarno Rizky Januar Akbar Royke Wenas Rully Soelaiman Rully Soelaiman Safitri, Winda Ayu Samosir, Hernawati Sari Sahadi, Fitria Vera Sarwosri Sarwosri Sarwosri Sarwosri Sarwosri Satrio Agung Wicaksono Shiddiqi, Ary Mazharuddin Siahaan, Gabriel Silaban, Monica Sinaga, Hasan Siti Rochimah Sitohang, Francisko Situmorang, Andreas Supriyanto, Ricky Tiurma Lumban Gaol Tony Dwi Susanto Toshihiro Kita Umam, Busro Umami, Izzatul Umi Yuhana Utomo Pujianto Vriza Wahyu Saputra Welly Purnomo Yuhana, Umi Laili Yuhana, Umi Laili Yunata Dede Pratiwi