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All Journal Lontar Komputer: Jurnal Ilmiah Teknologi Informasi Jurnal Teknik ITS IPTEK Journal of Proceedings Series IPTEK The Journal for Technology and Science TELKOMNIKA (Telecommunication Computing Electronics and Control) JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal Ilmiah Kursor Scan : Jurnal Teknologi Informasi dan Komunikasi Jurnal EECCIS Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Edukasi dan Penelitian Informatika (JEPIN) REKAYASA Journal of Information Systems Engineering and Business Intelligence Jurnal IPTEK Register: Jurnal Ilmiah Teknologi Sistem Informasi PROCEEDING IC-ITECHS 2014 Jurnal Inspiration Proceeding of the Electrical Engineering Computer Science and Informatics E-Dimas: Jurnal Pengabdian kepada Masyarakat Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Digital Zone: Jurnal Teknologi Informasi dan Komunikasi CSRID (Computer Science Research and Its Development Journal) Melek IT: Information Technology Journal MATHunesa: Jurnal Ilmiah Matematika Jurnal Sistem Informasi Bisnis (JUNSIBI) Jurnal Nasional Teknik Elektro dan Teknologi Informasi Sewagati Jurnal Ilmu Sosial, Humaniora dan Seni Jurnal INFOTEL Journal of Information Technology and Cyber Security

Daniel Oranova Siahaan

Departemen Teknik Informatika Institut Teknologi Sepuluh Nopember Surabaya

Author-ID : 379272

Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Physics Public Health Social Sciences Other

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Articles

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Building a Spatio-Temporal Ontology for Artifacts Knowledge Management Nurul Fajrin Ariyani; Daniel Oranova Siahaan
IC-ITECHS Vol 1 (2014): Prosiding IC-ITECHS 2014
Publisher : IC-ITECHS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1382.776 KB)

The knowledge that embedded in a historical artifact can have multidimensional information, such as time (temporal) and place (spatial) dimension. The temporal dimension indicates when the artifact had been used in the past, while spatial dimension points the location of people who had been using it at the time. Both of these information provide a general overview of the civilization conditions at the artifacts time. In most cases, the spatio-temporal information that attached to an artifact can be used to furnish the missing information of the other artifacts. If the museum managers are able to connect artifacts based on their spatio-temporal information, presenting artifacts historical value to visitors will be more continuous and complete. However, this kind of management needs could not be facilitated by any existing conventional database systems today. The author proposed an ontology approach for storing artifacts’ spatio-temporal information in digital form. This ontology is equipped with rules to perform reasoning thus spatio-temporal information among artifacts could be connected automatically. The result shows that the spatio-temporal ontology can be implemented in order to complete information linkage among the artifacts.

Identifying Requirements Association Based on Class Diagram Using Semantic Similar;ity Hernawati Susanti Samosir; Daniel Siahaan
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 10, No. 1 April 2019
Publisher : Institute for Research and Community Services, Udayana University

RRequirements association depicts inter-relation between two or more requirements within a software project. It provides necessary information for developers during decision-making processes, such as change management, development milestones, bug prediction, cost estimation, and work breakdown structure generation. Modeling association between requirements became a focus of software requirements researchers. Previous studies indicate that requirements association was pre-defined by requirements engineer based on their expert judgments. The judgments require knowledge on requirements and their class realizations. This paper introduces a method to generate a mapping between a set of requirement statements and a set of classes of a given project that realized the respected requirements. The method also generates associations among requirements based on information on associations between classes and the class-requirement mapping. The method utilizes element of relational information resided in a class diagram of respected project. A semantic similarity method was used to define the requirements with their realization classes. A class is considered realizing a requirement if and only if their semantic similarity is higher than a certain threshold. A set of experimentation on four different projects was conducted. The result of the approach was compared with the output produced by human annotators using kappa statistics. The approach is considered as having a fair agreement level (i.e. with kappa value 0.37) with the human annotators to identify and model requirement associations.

Requirements Association Extraction based on Use Cases Diagram Peter Gelu; Riyanarto Sarno; Daniel Siahaan
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 9, No. 1 April 2018
Publisher : Institute for Research and Community Services, Udayana University

Requirements are the initial step in the software development process. It is very important to ensure the association (relationship) of requirements and high quality of specification as more than three-quarters failure of software derives from the software requirement process. Therefore, the analysis process is required to ensure the association between requirements and the requirements of other users. As a result, interdependency requirements association is essential. This research proposes an approach of software requirements association. These are based on the reference of interdependency in the user case, namely the result of collaboration of the association of the dependency of requirements based on Unified Modeling Language (UML) design in the Use cases diagram. In this research, the mapping between requirements and use cases and interdependencies between use cases are used to determine the interdependency between requirements. The analysis presented is the association of similar requirements, requires, or, temporal, elaborates dan generalises. The purpose of this research is to generate a requirements dependency graph that models the type of dependency between requirements within a software project.

FACTORS INFLUENCING E-COMMERCE ADOPTION BY SMES INDONESIA: A CONCEPTUAL MODEL Evi Triandini; Arif Djunaidy; Daniel Siahaan
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 4, No. 2 Agustus 2013
Publisher : Institute for Research and Community Services, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (291.15 KB)

E-commerce present different prospect to Small and Medium Sized Enterprises (SMEs) andprovides benefits to SMEs. At this stage, there are a number of studies focused on SMEs indeveloped countries. For developing countries, the situation is quite different. Furthermore, thereis still limited number of researches on e-commerce adoption by SMEs in Indonesia. SMEs playa vital role in reducing the rate of poverty and unemployment in Indonesian economy. In 2009,micro, small and medium enterprises in Indonesia consist of 52.7 million units or 99.99% of thetotal business enterprises, and employ 96.21 million people or 97% of the total labor forces. SMEsin Indonesia faced internal and external problems. This study explores various factors influencinge-commerce adoption by SMEs in several countries and projecting it to Indonesia. Results showsthat there are a number of perceived opportunities presented by e-commerce adoption inIndonesia, i.e. extending market-reach and even global, increasing customer personalizeservices, and improving its competitiveness. Furthermore, this study also proposes six potentialfactors influenced the adoption of e-commerce by SMEs in Indonesia, i.e. perceived usefulness,perceived ease of use, relative advantage, perceived risk, perceived trust, and compatibility.

PERBAIKAN SISTEM STANFORD RTE PADA KALIMAT MENGANDUNG EKSPRESI ARITMATIKA Rakhmat Arianto; Daniel Oranova Siahaan; Ahmad Saikhu
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 4, No. 2 Agustus 2013
Publisher : Institute for Research and Community Services, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (112.959 KB)

Sistem Stanford Recognizing Textual Entailment adalah sistem yang dapat mendeteksi entailment maupun kontradiksi yang terkandung dalam pasangan kalimat Text dan Hypothesis.Pada tahun 2009, dilakukan penelitian pengembangan sistem Stanford RTE dengan menggabungkan sistem Stanford RTE pada tahun 2006 dengan sistem Stanford RTE pada tahun 2008.Salah satu kelemahan pada sistem Stanford RTE tahun 2009 adalah kesalahan deteksi kontradiksi pada pasangan kalimat Text dan Hypothesis mengandung ekspresi aritmatika.Untuk menutupi kelemahan tersebut, ditambahkan fitur aritmatika dalam sistem Stanford RTE yang khusus memproses pasangan kalimat Text dan Hypothesis mengandung ekspresi aritmatika.Fitur aritmatika dibangun dengan empat tahap utama, yaitu tahap analisa linguistik, tahap pencarian nilai kemiripan kata, tahap penentuan operator aritmatika, dan tahap penyimpulan entailment, kontradiksi, atau tidak diketahui.Fitur aritmatika telah dilakukan pengujian terhadap 30 pasang kalimat Text dan Hypothesis mengandung ekspresi aritmatika yang diambil dari halaman website berita dengan hasil tingkat keberhasilan mencapai 80%.

Structural and Semantic Similarity Measurement of UML Use Case Diagram Mohammad Nazir Arifin; Daniel Siahaan
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol 11 No 2 (2020): Vol. 11, No. 2 August 2020
Publisher : Institute for Research and Community Services, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/LKJITI.2020.v11.i02.p03

Reusing software has several benefits ranging from reducing cost and risk, accelerating development, and its primary purposes are improving software quality. In the early stage of software development, reusing existing software artifacts may increase the benefit of reusing software because it uses mature artifacts from previous artifacts. One of software artifacts is diagram, and in order to assist the reusing diagram is to find the level of similarity of diagrams. This paper proposes a method for measuring the similarity of the use case diagram using structural and semantic aspects. For structural similarity measurement, Graph Edit Distance is used by transforming each factor and use case into a graph, while for semantic similarity measurement, WordNet, WuPalmer,and Levenshtein were used. The experimentation was conducted on ten datasets from variousprojects. The results of the method were compared with the results of assessments from experts.The measurement of agreement between experts and method was done by using Gwet’s AC1 andPearson correlation coefficient. Measurement results with Gwet’s AC1 diagram similarity are 0,60,which were categorized as “moderate" agreement and the result of measurement with Pearsonis 0.506 which means there is a significant correlation between experts and methods. The resultshowed that the proposed method can be used to find the similarity of the diagram, so finding andreuse of the diagram as a software component can be optimized.

Pendeteksian Overspesification Pada Dokumen Spesifikasi Kebutuhan Perangkat Lunak Welly Purnomo; Daniel Oranova Siahaan
Inspiration: Jurnal Teknologi Informasi dan Komunikasi Vol 7, No 1 (2017): Jurnal Inspiration Volume 7 Issue 1
Publisher : STMIK AKBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35585/inspir.v7i1.2431

Pengembangan perangkat lunak diawali dengan proses yang sangat penting yaitu memahami dan menentukan seperti apa perangkat lunak yang nantinya akan dibangun yang ditulis ke dalam sebuah dokumen Spesifikasi Kebutuhan Perangkat Lunak (SKPL). Meyer’s “The Seven Sins of Specifier” menjelaskan hal-hal yang harus dihindari dalam menyusun SKPL. Salah satunya adalah overspecification. Overspecification terjadi ketika dalam dokumen spesifikasi terdapat elemen yang tidak terkait pada fitur permasalahan melainkan terkait pada kemungkinan solusi permasalahan. Penelitian ini mengajukan sebuah metode untuk mendeteksi adanya overspecification pada dokumen SKPL dengan membangun sebuah text classifier berbasis decision tree memanfaatkan kakas bantu pengolahan bahasa alami. Dari hasil pengujian dan evaluasi didapatkan nilai Kappa 0,8872 pada threshold 0,0. Ini berarti bahwa solusi yang diajukan bekerja dengan baik dan dapat digunakan untuk mendeteksi adanya overspecification pada dokumen spesifikasi kebutuhan perangkat lunak dengan nilai Kappa 0,8872 atau proporsi kesepakatan antara solusi yang diajukan dengan anotator adalah almost perfect agreement.

Exploring Success Factor for Mobile based Smart Regency Service using TRUTAUT Model Approach Aang Kisnu Darmawan; Daniel Siahaan; Tony Dwi Susanto; Hoiriyah Hoiriyah; Busro Umam; Anwari Anwari
Proceeding of the Electrical Engineering Computer Science and Informatics Vol 7, No 1: EECSI 2020
Publisher : IAES Indonesia Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eecsi.v7.2074

Currently, almost every country struggles to apply city management to the concept of intelligent cities. Several previous studies have modeled the success, maturity, and success of information systems to use smart city principles. However, there are significant differences between city and district definition in terms of governance frameworks, regional size, livelihood differences, population, socio-economic, and socio-cultural dimensions. Therefore, work on the Smart District IT assessment requires new and unique studies that can differ substantially from smart cities. This study aims to explore the determinants of the success of Smart Regency services with mobile technology. The model and approach are the TRUTAUT model, which combines the concepts for the TRI and the UTAUT model. Two hundred eighty-nine participants could collect data with a smart cellular district service system - data processing using the SmartPLS v.3.2.8 software. Recent findings indicate that the variables proposed in the TRUTAUT model are a positive and essential relation. This study helps to determine the success of the application of intelligent mobile regional services applications. This study confirms that policymakers pay more considerable attention to critical questions that affect the district's smart cellular services' success.

Software Fault Prediction Using Filtering Feature Selection in Cluster-Based Classification Fachrul Pralienka Bani Muhamad; Daniel Oranova Siahaan; Chastine Fatichah
IPTEK Journal of Proceedings Series No 1 (2018): 3rd International Seminar on Science and Technology (ISST) 2017
Publisher : Institut Teknologi Sepuluh Nopember

The high accuracy of software fault prediction can help testing effort and improving software quality. Previous researchers had proposed the combination of Entropy-Based Discretization (EBD) and Cluster-Based Classification (CBC). However, the irrelevant and redundant features in software fault dataset tend to decrease the prediction accuracy value. This study proposes improvement of CBC outcomes by integrating filtering feature selection methods. Filtering feature selection methods that will be integrated with CBC i.e. Information Gain (IG), Gain Ratio (GR), and One-R (OR). Based on the research using 2 datasets NASA public MDP (i.e. PC2 and PC3), the result shows that the combination of CBC and IG yields the best average accuracy value compared to GR and OR. It generates 67.52% average of probability detection (pd) and 37.42% average of probability false alarm (pf). While CBC without feature selection yields 65.38% average pd and 49.95% average pf. It can be concluded that IG can improve CBC outcomes by increasing 2.14% average pd and reducing 12.53% average pf

User Story Extraction from Online News with FeatureBased and Maximum Entropy Method for Software Requirements Elicitation Nafingatun Ngaliah; Daniel Siahaan; Indra Kharisma Raharjana
IPTEK The Journal for Technology and Science Vol 32, No 3 (2021)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v32i3.11625

Software requirements query is the frst stage in software requirements engineering. Elicitation is the process of identifying software requirements from various sources such as interviews with resource persons, questionnaires, document analysis, etc. The user story is easy to adapt according to changing system requirements. The user story is a semi-structured language because the compilation of user stories must follow the syntax as a standard for writing features in agile software development methods. In addition, user story also easily understood by end-users who do not have an information technology background because they contain descriptions of system requirements in natural language. In making user stories, there are three aspects, namely the who aspect (actor), what aspect (activity), and the why aspect (reason). This study proposes the extraction of user stories consisting of who and what aspects of online news sites using feature extraction and maximum entropy as a classifcation method. The systems analyst can use the actual information related to the lessons obtained in the online news to get the required software requirements. The expected result of the extraction method in this research is to produce user stories relevant to the software requirements to assist systems analysts in generating requirements. This proposed method shows that the average precision and recall are 98.21% and 95.16% for the who aspect; 87,14% and 87,50% for what aspects; 81.21% and 78.60% for user stories. Thus, this result suggests that the proposed method generates user stories relevant to functional software.

Co-Authors Aang Kisnu Darmawan Abd. Rasyid Syamsuri Achmad An'im Fahmi Achmad, Fariz Adi Kurniawan Aditya Eka Bagaskara Ahmad Saikhu Ahmadiyah, Adhatus Solichah Akbar, Rizky Januar Albert Bungaran Manik Amalia, Rosa Amien Widodo Andi Besse Firdausiah Andini Prastiwi Andrias Meisyal Yuwantoko Ansyah, Adi Surya Suwardi Anwari Anwari Anwari, Anwari Arif Djunaidy Arif Susanto Arif Wibisono 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 Dian Saputra Diana Purwitasari Divi Galih Prasetyo Putri Dzhalila, Dzhillan Eko Prasetyo Esti Yuniar Evi Triandini F.X. Arunanto Fachrul Pralienka Bani Muhamad Fachrul Pralienka Bani Muhamad Fajar Baskoro Fajar Baskoro Fatimatus Zulfa Ferdika Bagus Permana 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 Joko Prasetyo Karimi, Muhammad Ihsan Karolita, Devi Kusuma, Selvia Ferdiana Luh Putu Ary Sri Tjahyanti Manek, Patricia Gertrudis Mauladani, Furqon Maulida, Ainatul 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 Peter Gelu Pratama Wirya Atmaja Putra Kurniawan, Arya Putri, Rahmi Rizkiana Rahmi Rizkiana Putri Rakhmat Arianto Ramadhani, Nia Ratih Nur Esti Anggraini, Ratih Nur Esti 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

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