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Journal : Melek IT: Information Technology Journal

Klasifikasi Siswa Menggunakan Bayesian Classification Di Uptd Smp Negeri 2 Baron Yenita Endah Puspitowati; Mumun Nurwilawati; Daniel Swanjaya
Melek IT : Information Technology Journal Vol. 1 No. 1 (2015): Melek IT : Information Technology Journal
Publisher : Informatics Engineering Department-UWKS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (548.439 KB) | DOI: 10.30742/melekitjournal.v1i1.36

Abstract

To provide learning for students is not enough only in academics , but also needed in non- academic fields such as counseling . With counseling , psychological known how the students with what they are experiencing , so it takes the handling of student counseling . Giving questionnaire or questionnaires to students is a way to find out the problems in a natural student . This research is the development of the students' classification problems using Bayesian classification . Data obtained using a questionnaire that has been converted into a computerized , then weighted and processed using a Bayesian classification to obtain results in student services . Classification of students using Bayesian classification can generate services to students in accordance with the natural problems in students . Through the classification of students with Bayesian classification devote facilitate students in their personal problems without difficulty or feel embarrassed , but it also helps administrators in data processing to generate the appropriate student services on student issues . The use of Bayesian classification algorithm is suitable to assist performance and efficiency while counseling guidance teachers in performing services to students.
Hypergraph-Partitioning pada Co-Authorship Graph untuk Pengelompokan Penulis Berdasarkan Topik Penelitian Daniel Swanjaya; Chastine Fatichah
Melek IT : Information Technology Journal Vol. 1 No. 1 (2015): Melek IT : Information Technology Journal
Publisher : Informatics Engineering Department-UWKS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (561.981 KB) | DOI: 10.30742/melekitjournal.v1i1.40

Abstract

Research topics can be seen from Abstraction research documents, for example, reports Scientific Writing (KTI) in the form of Final Project, Thesis and Dissertation. Research Topics of KTI is a collection of important words that indicate the area / field of study of the KTI. A guided KTI some supervisor, and a lecturer normally would guide some particular topic. Some lecturers have the same field of research formed a research group within the Department, but some courses are lecturers who exhibit similarities field of research. At this thesis proposed a method for classifying Writer (Lecturer) based on common research topics in Co-Authorship Graph using the Hypergraph Partitioning, making it possible to create a research group within the scope of inter Programs or college level. The method is divided into three stages: extraction of research topics, pembentuksn Co-Authorship Graph, and grouping author. Extraction of research topics, get the topic of EI by Title and Abstract using Latent Dirichlet Allocation (LDA). Formation of Co-Authorship Graph, where the nodes are the author, edge is the collaborative relationship and similarity / resemblance of research topics, and the weighting edge is Jaccard and cosine values similary research topics between author. Grouping Writers on Co-Authorship Graph using the Hypergraph Partitioning. Test method uses data from the Research Institute of Research and Community Service (LPPM) ITS. Grouping the results are validated using the Silhouette and Entropy. The final results showed that the grouping has been formed group Authors whose members come from the Department or a different field, with high similarity topic.
Co-Authors Abraham Dimas Bayu Aji Afizza Fikri Kurniawan Agus Zainal Arifin Ahmad Fakhruddin Luthfi Ahmad Fitra Hamdani Ali Maksum Alif Utama, Muh. Sandyoga Aohana, Mizanul Ridho Arrie Kurniawardhani Azhar, Rizki Bagas Aji Nugroho Bagas Wahyu Nur Tantyo Cahyono, Bayu Dwi Chastine Fatichah Danang Wahyu Widodo Danar Putra Pamungkas, Danar Putra Dany Arkham Dela Karmeylia Putri Devy Ana Ulandari Diana Purwitasari Dimas Eri Kurniawan Dini Haris Suryaningtias Duwita Yuli Harsasi Dwi Fitriana Sari Eka Yuniarti Ella Okta Viana Firdaus, Mochammad Fedro Firmansyah, Muhammad Kukuh Fitri Bimantoro Fitri Indah Febriana Hidhayah, Ratu Nisful Laily Indra Lukmana Intan Anggun Kinanti Intan Nur Farida Irfan - Fauzi Jimmy Feriawan Julian Sahertian Krisna atma wijaya Laksono, Danang Tri M Taufiq Maulana Fahmi M. Fahrur Azhri Mabruroh, Tsalina Tsaniatul Made Ayu Dusea Made Ayu Dusea Widya Dara Made Ayu Dusea Widyadara - Universitas Nusantara Kediri, Made Ayu Dusea Widyadara Mahdiyah, Umi Maulana Anas Firdaus Moch Anas Toybah Mochamad Zamzamik Mochammad Ainun Muqsit Moh. Danang Nawawi mohamad ihsan Muhammad Abdul Aziz Muhammad Diko Tri Handoko Muhammad Nur Fachrudin Muhammad Rizal Arif Muhammad Rohid Saputro Mumun Nurmilawati Mumun Nurwilawati Nabila, Kharisma Nur Nahdiyah, Yuniswatin Nanda Wibi Saputra Natalia, Devi Novia, Talitha Ayudhea Nur Mohamad Iqbal Jauhari Iqbal Jauhari Nur’azizan, Achmad Hasyim Patmi Kasih Prasetyo, Muhammad Ary Pratama, Dieky Septhian Rastra Putri Lestari, Elok Eka Kartika Putri, Dhaniar Ruandha Ratih Kumalasari Niswatin Resty Wulaningrum Resty Wulanningrum Risa Helilintar Risky Aswi R, Risky Risky Audina Riswandha Adhitia Rizal’ Chris Pristiwanto Rizki Subiyantoko Rochana, Siti Rohmat Syamsul Huda Rony Heri Irawan Rozi, Ahmad Fatkhur Saputro, Daniel Sari, Lya Rosita Septian Geges Siti Rochana Subagyo, Subagyo Sugiarto, Danami Bay Tamariska Usman Widya Dara, Made Ayu Dusea Wijayanto, Muhammad Farid Wulaningrum, Resty Yenita Endah Puspitowati Yenita Endah Puspitowati, Yenita Endah Yosafat Adiguna Yunio Heri Kristianto Zulaikah, Dewi Zulkarnain, Dicky Candra