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All Journal Jurnal Teknologi Pendidikan Sinkron : Jurnal dan Penelitian Teknik Informatika JCRS (Journal of Community Research and Service) Jurnal Mantik BRITech : Jurnal Ilmiah Ilmu Komputer, Sains dan Teknologi Terapan INFOKUM Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) Instal : Jurnal Komputer Jurnal Info Sains : Informatika dan Sains Seminar Nasional Pengabdian Kepada Masyarakat QISTINA: Jurnal Multidisiplin Indonesia Jurnal Penelitian Pendidikan Indonesia The Indonesian Journal of Computer Science
Putri, Tansa Trisna Astono
Universitas Negeri Medan
Religion Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Nursing Social Sciences Other

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PERENCANAAN STRATEGIS SISTEM INFORMASI PADA INDUSTRI SUKU CADANG OTOMOTIF MENGGUNAKAN METODE WARD DAN PEPPARD (STUDI KASUS PT XYZ) Maulidiyah, Ratna; Putri, Tansa Trisna Astono
BRITech, Jurnal Ilmiah Ilmu Komputer, Sains dan Teknologi Terapan Vol 1 No 2 (2020): Periode Januari
Publisher : Institute Teknologi dan Bisnis Bank Rakyat Indonesia

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Abstract

The automotive industry is required to carry out product development and distribution of production results in accordance with market needs. PT XYZ is the largest and leading automotive group company in Indonesia that manufactures and distributes a wide range of two-wheeled and four-wheeled motor vehicle parts. The growth of national economy that relatively low affects on the weakening of the purchasing power of the people, thereby contributing negatively to the growth of the spare-parts market. In addition, there are several strategic issues that have occurred at PT XYZ. Based on these strategic issues, an information system strategic planning is needed, with the aim of supporting the course of the company's business processes and supporting the application of information systems and IT infrastructure that follows the development of business and technology. This research covers business models, analysis of the business environment, issues that arise from information systems strategies, and the preparation of IS, IT, and IS/IT management strategies. This study uses a model from Ward and Peppard. The stages carried out in this study are analysis of current conditions, analysis of future conditions, gap analysis and strategic planning, as well as the preparation of a roadmap and migration plan. The outputs of this study are twelve information systems development, five IT infrastructure developments, and three IS/IT management developments.
Prototype Development of Research And Community Service Web Based Information System (SIM-PPM) of LPPM Unimed Baharuddin Baharuddin; Hesti Fibriasari; Tansa Trisna Astono Putri
INFOKUM Vol. 9 No. 1,Desember (2020): Data Mining, Image Processing,artificial intelligence, networking
Publisher : Sean Institute

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Abstract

The development of SIMPPM is indispensable for the development of an information system for the Research and Community Service Institute. Information system development will be developed through the web. Currently, LPPM has made the system which will continue to be developed according to the needs and will be integrated with the system at the University. The research object is the LPPM Unimed information system. The research method used was ADDIE (Analysis, Design, Development, Implementation, and Evaluation), the first thing to do was to conduct a needs analysis about the research and service process that switched from manual to IT-based. After finding out what are the requirements for the process of proposal, assessment, monitoring and evaluation to the final report, a model is designed in the system to address the needs of the research and community service implementation process. Then the initial design, a storyboard is developed so that researchers, reviewers and admins can carry out all the processes in the SIMPPM page. The implementation of the system is conducted by researchers/lecturers, by conducting trials and making improvements to the results of the main trials to involve a wider audience. From the test results, the evaluation of user satisfaction is improving than the conventional way. The results of this study resulted a website in the form of SIMPPM which is intended for prospective researchers and civil servants, operators and reviewers who will carry out the process of receiving proposals, selection to reporting. This study provides an innovation in the LPPM information system. This study makes the development of an information system web based so that it can be used independently and anywhere.
Sentiment Analysis On Twitter Using The Target-Dependent Approach And The Support Vector Machine (SVM) Method: Sentiment Analysis On Twitter Using The Target-Dependent Approach And The Support Vector Machine (SVM) Method Tansa Trisna Astono Putri; Mhd. Dominique Mendoza; Muhammad Fadhiel Alie
Jurnal Mantik Vol. 4 No. 1 (2020): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

Opinions or sentiments given by the public on Twitter social media have attracted attention for research. In this study, what will be done in connection with sentiment analysis on Twitter is to use a target-dependent approach. Where given a data twit or opinion relating to 3 major cities in Indonesia, namely Jakarta, Bandung and Medan, and will be classified as opinions that are positive, negative or neutral. Due to the social media used is Twitter, which can only write opinions in 140 characters, it is possible to find data on tweets or ambiguous opinions. Therefore, this study focuses on sentiment analysis with a target-dependent approach using the SVM method for classification. The target-dependent approach itself consists of 2 stages, namely determining matters relating to the topic of discussion and collecting data on tweets related to the topic. Broadly speaking, this research was carried out in 4 stages, namely preprocessing, classification with a target-dependent approach and SVM method and finally the determination of opinion classification)
Payroll System Design With SDLC (System Development Life Cycle) Approac: Payroll System Design With SDLC (System Development Life Cycle) Approac Mhd. Dominique Mendoza; Tansa Trisna Astono Putri
Jurnal Mantik Vol. 4 No. 1 (2020): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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Abstract

The HR technologies are predominantly used for HR administrative applications, including payroll and benefits administration, this research has profound implications on the evaluation of their effectiveness. A failure to pay people on time and the right amount can cause immense employee dissatisfaction and distress which in turn can severely dent the employer branding.By adopting the system development life cycle (SDLC), this study captures the key factors that should have been taken into account in designing, implementing and rolling out the new payroll system at PT. Faramiga Sindo Energi. The factors that contribute to the success or failure of project implementation are the same which reinforce their reliability and validity.By using the payroll system, the resulting payroll information is more complete, efficient, fast and precise than the previous system which always experiences delays in presenting payroll report information. With the implementation of the program that has been designed, the system can provide convenience in the process of calculating salaries and can find out the salary report quickly and can be requested at any time when needed.
Blog Pembelajaran Guru SMU Negeri 21 Medan Tansa Trisna; Hesti Fibriasari; Tengku Ratna Soraya; Nurilam Harianja
Seminar Nasional Pengabdian Kepada Masyarakat PROSIDING EDISI 4: SEMNAS 2020
Publisher : Seminar Nasional Pengabdian Kepada Masyarakat

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Abstract

Pengabdian Kepada Masyarakat ini bertujuan untuk mengembangkan potensi siswa dalam pembuatan produk pembelajaran berbasis blog. Potensi siswa SMU Negeri 21 Medan dibagi ke dalam 3 bidang utama, yaitu: (1) pendidikan karakter berbasis lingkungan, (2) pembelajaran bidang studi, (3) TIK. Permasalahan yang dihadapi mitra antara lain: (1) Bidang pendidikan karakter berbasis lingkungan; sistem zonasi dalam penerimaan siswa. (2) Mata Pelajaran disajikan secara konvensional: belum menunjukan potensi guru mata pelajaran menggunakan media maupun aplikasi untuk melakukan proses pembelajaran jarak jauh.. Padahal jumlah guru muda relatif banyak. Oleh karena itu akan dilaksanakan pendampingan pembelajaran berbasis blog. Target luaran kegiatan pengabdian diantaranya: blog pemebelajaran dari bidang studi  dan peningkatan penerapan IT di masyarakat. Rencana kegiatan antara lain: (1) pembentukan kelompok kerja, (2) bimbingan teknis pembuatan media pembelajaran berbasis blog, (3) pendampingan penyajian blog untuk pembelajaran, (4) pendampingan pembuatan blog pembelajaran.
PENERAPAN METODE FLEX BLENDED LEARNING PADA SMKS IMELDA Reni Rahmadani; Ressy Dwitias Sari; Bagoes Maulana; Muhammad Dominique Mendoza; Tansa Trisna Astono Putri
Jurnal Teknologi Pendidikan (JTP) Vol 15, No 2 (2022): Oktober - Jurnal Teknologi Pendidikan
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jtp.v15i2.39121

Abstract

Abstrak: Perkembangan ilmu pengetahuan dan teknologi yang semakin pesat mengharuskan banyak sektor dalam pendidikan melakukan perubahan. Pembelajaran blended learning adalah contoh dari salah satu pemanfaatan perkembangan teknologi informasi yang dimanfaatkan dalam sektor Pendidikan. Kombinasi pembelajaran dengan sistem tatap muka dan pembelajaran berbasis komputer yang dilakukan secara daring (dalam jaringan) maupun luring (luar jaringan) adalah bentuk pembelajaran blended learning Flex termasuk dalam jenis pembelajaran metode Blended Learning di mana proses belajar mengajar dilakukan dalam bentuk daring namun masih melakukan pembelajaran luring sebagai pendukung. Tujuan dari penelitian ini untuk melihat dampak dan manfaat dari penerapan flex blended learning dalam proses pembelajaran sehingga dapat mempermudah proses pelaksanaan pendidikan bagi guru dan juga siswa agar tujuan pendidikan dapat dicapai lebih maksimal. Data hasil penelitian diolah dengan menghitung nilai n-gain dan uji t untuk mengetahui dampak dari pembelajaran menggunakan flex blended learning. Hasil menunjukkan nilai n-gain siswa yang melakukan pembelajaran flex blended learning adalah 0,74 lebih tinggi daripada pembelajaran konvensional yang memiliki nilai 0,54. Uji t menunjukkan nilai sig. 0,00000018 dan nilai thitung 6,78 yang berarti pembelajaran menggunakan flex blended learning menunjukkan perbedaan yang signifikan terhadap pembelajaran konvensional. Dari hasil nilai n-gain dan uji t dapat ditarik kesimpulan bahwa pembelajaran flex blended learning dapat meningkatkan nilai hasil belajar siswa.Kata Kunci: Pembelajaran, Blended Learning, Flex Blended Learning.Abstract: The rapid development of science and technology requires many sectors in education to make changes. Blended learning is an example of one of the uses of information technology developments that are used in the education sector. The combination of learning with face-to-face systems and computer-based learning conducted online (in the network) and offline (outside the network) is a form of blended learning. Flex is included in the type of Blended Learning model where learning is carried out online but still does offline learning as a support. The purpose of this study is to see the impact and benefits of implementing flex blended learning in the learning process so that it can facilitate the process of implementing education for teachers and students so that educational goals can be achieved more optimally. The research data were processed by calculating the n-gain value and t-test to determine the impact of learning using flex blended learning. The results show that the n-gain value of students who do flex blended learning is 0.74 higher than conventional learning which has a value of 0.54. The t test shows the value of sig. 0.00000018 and t-count 6.78 which means learning using flex blended learning shows a significant difference to conventional learning. From the results of the n-gain value and t test, it can be concluded that flex blended learning can increase the result of student learning outcomes..Keywords: Learning, Blended Learning, Flex Blended Learning.
PENGARUH PENGGUNAAN MEDIA SOSIAL DALAM PENDIDIKAN TERHADAP PRESTASI AKADEMIK MAHASISWA Muhammad Dominique Mendoza; Olnes Yosefa Hutajulu; Azmi Rizky Lubis; Reni Rahmadani; Tansa Trisna Astono Putri
Jurnal Teknologi Pendidikan (JTP) Vol 15, No 2 (2022): Oktober - Jurnal Teknologi Pendidikan
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jtp.v15i2.39120

Abstract

Abstrak: Saat ini, media sosial ada sebagai sarana untuk berkomunikasi di antara orang-orang terlepas dari lokasi, memungkinkan mereka untuk dengan mudah berbagi informasi, mengakses file, gambar, dan video, mengirim pesan, dan melakukan percakapan secara langsung (real time), dimana hal ini memungkinkan komunikasi yang mudah dan efektif. Studi menunjukkan bahwa media sosial mendukung kegiatan pendidikan dengan memfasilitasi interaksi, kolaborasi, partisipasi aktif, berbagi sumber daya, dan berpikir kritis. Penelitian ini berfokus pada pengaruh penggunaan media sosial terhadap prestasi akademik mahasiswa. Populasi yang digunakan pada penelitian ini berasal dari sampel mahasiswa pada Program Studi (Prodi) Pendidikan Teknologi Informatika dan Komputer (PTIK) sebesar 216 mahasiswa. Berdasarkan hasil pengujian didapat hasil bahwa variabel komunikasi dengan media sosial tidak memiliki dampak yang signifikan terhadap prestasi akademik siswa. Pada variabel Kolaborasi terdapat pengaruh yang signifikan secara terhadap prestasi akademik mahasiswa, kolaborasi memberikan pengaruh yang paling besar dan signifikan secara terhadap prestasi akademik mahasiswa. Pada variabel berbagi bahan dan materi melalui sosial media memiliki pengaruh positif dan signifikan terhadap prestasi akademik mahasiswa. Penelitian ini membuktikan perkembangan teknologi saat ini merupakan inkubator bagi munculnya aplikasi dan sarana komunikasi elektronik secara masif, dan media sosial merupakan salah satu sarana elektronik yang dapat berperan efektif dalam proses komunikasi berbagai bidang, terutama di bidang pendidikan.Kata Kunci: Media Sosial, Komunikasi, Kolaborasi, Berbagi Materi dan Bahan Ajar, Prestasi AkademikAbstract: Today, social media exists to facilitate communication among people regardless of location, enabling them to easily share information, access files, images, and videos, send messages, and have real-time conversations. This allows easy and effective communication. Studies show that social media supports educational activities by facilitating interaction, collaboration, active participation, resource sharing, and critical thinking. This study focuses on the effect of using social media on student academic achievement. The population used in this study came from a sample of 216 students in the Program Studi Pendidikan Teknologi Informatika dan Komputer (PTIK). Based on the test results, it was found that the communication variable with social media did not have a significant impact on student's academic achievement. The collaboration variable has a significant effect on student academic achievement, collaboration has the biggest and most significant influence on student academic achievement. The variable sharing of materials and materials through social media has a positive and significant effect on student academic achievement. This research proves that current technological developments are an incubator for the emergence of massive electronic communication applications and facilities, and social media is one of the electronic means that can play an effective role in the communication process in various fields, especially in the field of education.Keywords: Social Media, Communication, Collaboration, Sharing of Teaching Materials and Materials, Academic Achievements
Prediction of Student Entrepreneurship Future Work based on Entrepreneurship Course using the Naïve Bayes Classifier Model Hasan, Hanapi; Yulastri, Asmar; Ganefri; Tansa Trisna Astono Putri; Marta, Rizkayeni
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 1 (2024): Articles Research Volume 8 Issue 1, January 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i1.13293

Abstract

Entrepreneurs are critical to a country's economic progress and job creation. Few people felt schools have much to offer with business a generation ago. Students are expected to be an entrepreneur as the outcome of the course. The goal of this study is building a model to predict students' future employment, particularly in the field of entrepreneurship, using big data analysis and data mining. Various educational institutions can use data mining methodologies to identify hidden patterns in data contained in databases. The feature selection technique was utilised in this study to select and assess the significance of each element. The model was built using the final parameters determined by the feature selection technique (Correlation Based Feature Selection). Using the 10-fold cross validations for training and testing dataset distribution, the Naïve Bayes classifier was used to forecast the students' future of work. The dataset for the study was gathered from a student's performance report at Universitas Negeri Medan's engineering department. The effectiveness of using feature selection algorithms was compared to the effectiveness of not using feature selection algorithms, and the results are discussed. According to the findings of this study, the accuracy of Naïve Bayes with Correlation Based Feature Selection is 87.4%, which is higher than the model that did not use any feature selection. It was also discovered that the overall accuracy of the Correlation Based Feature Selection and Naïve Bayes Classifier models appears to be higher than that of the other treatments.
Investigating the Impacts of A Simulation-Based Learning Model Using Simulation Virtual Laboratory on Engineering Students Hasan, Hanapi; Ambiyar; Wulansari, Rizky Ema; Maksum, Hasan; Tansa Trisna Astono Putri
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 3 (2024): Research Artikel Volume 8 Issue 3, July 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i3.13747

Abstract

Considering electrical engineering students at Universitas Negeri Medan as a case study, this research looks at how an SVL affected their grades. Integrating the TAM with the ABET Laboratory Learning Objectives, it provides a comprehensive framework for quality engineering and technology education. This research is the first of its kind to theoretically compare the two concepts in a VL context. This research examines the relationship between student performance in the classroom and the TAM's usability components as well as the ABET's learning objectives. The results from the surveys given to first-year Electrical Engineering students are analyzed using Structural Equation Modeling (SEM) and Partial Least Squares (PLS). Because it enhances student performance and satisfies their learning goals, the results demonstrate that utilizing simulation-based virtual laboratories (SVL) in engineering education offers substantial educational benefits.
Chatbot Prototype Training Using Deep Learning Methods For Tourism in North Sumatra Fibriasari, Hesti; Putri, Tansa Trisna Astono; Widiastuti, Uyuni
Journal of Community Research and Service Vol 7, No 2: July 2023
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jcrs.v7i2.49506

Abstract

One of the several foreign exchange industries with considerable expansion potential is tourism. One is the province of North Sumatra, which has numerous intriguing tourist attractions. Advertising and inadequate tourism information management systems are factors that are impeding the growth of the tourism industry. The younger generation still has very little understanding of artificial intelligence and its applications for Chatbots and support services. A program called a Chatbot makes to hold chats for you. As a result, instruction requires in the design and use of deep-learning Chatbots. By offering guidance, examples, and hands-on training on tourist Chatbot prototypes from North Sumatra, this non-profit endeavor attempted to address the issue at hand. The PKM program's activities include: 1) instruction in marketing strategies including tourist information management systems. 2) instruction in the fundamental ideas of artificial intelligence, particularly Chatbots. 3) instruction in deep learning for Chatbot construction; 4) instruction in utilizing the Chatbot application. It envisaged that the outcomes of this activity would promote public awareness usage of Chatbot applications to discover data regarding tourist attractions around the province of North Sumatra as awareness among tourists.
Co-Authors Abdullah, MT, Dr. Rijal Adilla Ulfhi Adwiyah, Rabiatul Al Farishi, M Farid Ambiyar, Ambiyar Ami, Hutri Asmar Yulastri Azmi Rizky Lubis Baharuddin . Baharuddin Baharuddin Bakti Dwi Waluyo Barus, Tirta Yasa Agung Calista, Sandha Dwiki Muda Yulanto Fadhilah Fadhilah Fahmi Rizal Fali, Rifki Fattah, M Faturrahman, M Nadhif Ganefri Ginting, Ariyantika Br Gorat, Loveyanni Marito Benedikta Hanapi Hasan Hasan Maksum Hesti Fibriasari Hesti Fibriasari Jauharah, Jauharah Khofifah Qalbun Salima Lubis, Khodijah May Nuri Manurung, Ricardo Mardhiyah, Hanifah Marta, Rizkayeni Maulana, Bagoes Maulidiyah, Ratna Mendoza, Muhammad Dominique Mhd. Dominique Mendoza Muhammad Fadhiel Alie Nazwa, Safira Nizwardi Jalinus Nurilam Harianja Nurrahma, Suci Olnes Y. Hutajulu Perdana, Nugraha Aditama Putra Rahmadany, Savitri Rahmadhani, Alfi Rahmi, Alya Ramadani, Nadila Reni Rahmadani Ressy Dwitias Sari Saragi, Frans Jhonatan Sarumaha, Matius Irvan Siman Sinaga, Novi Novani Sitorus, Andika Syahputra, Fahmy Tanzila, Laili Tarigan, Febrinata Silvinna Boru Tarigan, Gabriel Frandika Tarigan, Ray Rivandi Tengku Ratna Soraya Uyuni Widiastuti Waskito Wulansari, Rizky Ema Zai, Frans Pratamarifai Doya