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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Evaluation and Research in Education (IJERE) IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Informatika Jurnal INKOM JIK Jurnal Ilmu Komputer Jurnal Buana Informatika TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Jurnal Informatika Teknik dan Ilmu Komputer Jurnal Teknologi Informasi dan Ilmu Komputer Journal of Mathematical and Fundamental Sciences Journal of ICT Research and Applications Telematika Journal of Information Systems Engineering and Business Intelligence Jurnal IPTEK-KOM (Jurnal Ilmu Pengetahuan dan Teknologi Komunikasi) Fountain of Informatics Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JIKO (Jurnal Informatika dan Komputer) Jurnal Sains dan Informatika JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI ILKOM Jurnal Ilmiah Jurnal ULTIMA InfoSys Jurnal ULTIMATICS Jurnal ULTIMA Computing Jurnal Ilmiah Media Sisfo Jurnal Informatika KOMPUTA : Jurnal Ilmiah Komputer dan Informatika STRING (Satuan Tulisan Riset dan Inovasi Teknologi) Jurnal Ilmiah Ilmu dan Teknologi Rekayasa JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Indonesian Journal of Electrical Engineering and Computer Science Journal of Applied Data Sciences Prosiding Konferensi Nasional PKM-CSR Jurnal Nasional Teknik Elektro dan Teknologi Informasi Aceh International Journal of Science and Technology Jurnal Teknologi Informasi Indonesia Jurnal Rekayasa Informasi
Seng Hansun
Universitas Multimedia Nusantara
Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Library & Information Science Mathematics Nursing Physics Public Health Social Sciences Other

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Pembangunan Aplikasi Latihan Soal IPA SD dengan Gamifikasi dan Mersenne Twister Hayanto, Naufal Irfan; Hansun, Seng
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 7 No 1: Februari 2020
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

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

Abstract

Ilmu Pengetahuan Alam (IPA) adalah salah satu mata pelajaran yang dipelajari di Sekolah Dasar (SD). Berdasarkan hasil penelitian, masih banyak siswa SD yang kurang memperhatikan saat pembelajaran mata pelajaran IPA. Hal ini membuat siswa membutuhkan suatu cara alternatif belajar, salah satunya melalui aplikasi latihan soal. Aplikasi latihan soal ini juga disajikan dengan metode gamifikasi dengan harapan pengguna akan semakin tertarik karena adanya tantangan-tantangan serta reward yang diberikan. Soal yang disajikan akan bersifat acak dengan menggunakan algoritma Mersenne Twister, sehingga kemungkinan mendapatkan soal yang sama dapat diperkecil. Uji coba Aplikasi Latihan Soal IPA dilakukan di SD Negeri Sukasari 4 Tangerang dengan metode Hedonistic Motivation System Adoption Model (HMSAM) dengan hasil nilai sangat baik untuk aspek  joy, perceived usefullness, perceived ease of use, control, dan curiosity dan nilai baik untuk aspek behavioral intention to use dan focussed immersion. Dengan demikian, dapat disimpulkan bahwa aplikasi latihan soal IPA SD yang dibuat dengan menyisipkan metode gamifikasi dan algoritma Mersenne Twister dapat memberikan kesenangan, faedah, dan ketertarikan para siswa untuk belajar materi IPA SD. AbstractNatural Science is one of the subject studied in the elementary school. Study shows that there are still a lot of students who do not pay attention when they are studying natural science. This means that the students need an alternative method for studying science, such as exercise application. This exercise application has implemented gamification method that hopefully can gain more interest from the user because of the challenges and the rewards given. The questions generated by this application will be randomly given with the use of Mersenne Twister algorithm so that the chance of getting the same question will be minimize. Testing of this application has been held in the public elementary school, Sukasari 4 Tangerang, with ‘very good’ results in aspect of joy, perceived usefulness, perceived ease of use, curiosity, control and ‘good’ results in aspect of behavioral intention to use and focused immersion. Therefore it can be concluded that elementary school natural science exercise application with gamification method and Mersenne Twister algorithm could give joy, usefulness, and intention for the students to learn the elementary school natural science materials.
SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN PROGRAM STUDI DENGAN METODE SAW DAN AHP Marbun, Erikson; Hansun, Seng
ILKOM Jurnal Ilmiah Vol 11, No 3 (2019)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v11i3.432.175-183

Abstract

Admission to Multimedia Nusantara University (UMN) is divided into academic paths, scholarships and regular tests. The benchmarks used to accept prospective students through the academic track still see five academic grades with a minimum value of 70. There are cases where the minimum grade decreases depending on the KKM (Minimum Completeness Criteria) from the school of the prospective student. The process of changing majors at UMN can be done by going to the Student Support division and undergoing a series of tests depending on the chosen study program. The Student Support Faculty of Engineering and Informatics (FTI) does not have enough data to carry out specific tests. Based on these two problems, a decision support system ‘FTI Recommendation’ was built using the AHP and SAW methods. AHP method is the basis for evaluating prospective students, while the SAW method is for alternative ranking. and the expert reference value as a substitute for the old benchmark, which is 70 or in accordance with KKM from the prospective student's school. The decision support system built produces a satisfaction level of 77.22%.
SISTEM PAKAR DIAGNOSA POST TRAUMATIC STRESS DISORDER DENGAN METODE FORWARD CHAINING Mochamad Rizky Zaldi; Seng Hansun
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 9 No 2 (2024): Juli
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v9i2.4607

Abstract

Post traumatic stress disorder (PTSD) is a disorder experienced by someone due to surprising, scary, or dangerous events they had. Unfortunately, there is minimal knowledge about this disorder among Indonesian people so that many of them do not know what symptoms they have experienced and the effects from the disorder. The aim of this study is to build an expert system for early diagnose of this PTSD. Forward chaining method is utilized within the expert system to collect the symptoms experienced by users, processing them based on knowledge rules until a decision or conclusion achieved. The expert system was developed following the Expert System Development Life Cycle (ESDLC) and the built system usability level was measured by using the USE questionnaire. The system was then tested together with an expert that showed the agreement level of the system with the expert. From the Usability level measurement, the system got a score of 86.67% which show the system is useful for early diagnose of PTSD. Hopefully, this expert system could become a solution in giving ease of accessibility for people to get an early diagnose result of PTSD.
Analisis Sentimen Ulasan PeduliLindungi Menggunakan Algoritma Support Vector Machine Andreas Baskoro Wibowo; Moeljono Widjaja; Seng Hansun
JURNAL INFORMATIKA DAN KOMPUTER Vol 10, No 1 (2026): February 2026
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat - Universitas Teknologi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26798/jiko.v10i1.2327

Abstract

Perkembangan teknologi yang cukup pesat menyebabkan 89% dari penduduk Indonesia menggunakan telepon pintar berbasis Android dan iOS. Google Playstore menyediakan sarana bagi penggunanya untuk melakukan ulasan sebuah aplikasi dengan rating ataupun dengan kalimat yang menggambarkan perasaan pengguna dalam penggunaan aplikasi tersebut. Bagi masyarakat Indonesia selama masa pandemi, jika ingin bepergian diwajibkan untuk mengunduh aplikasi PeduliLindungi sebagai bukti telah melakukan vaksinasi COVID. Proses pembuktian vaksinasi ini adalah dengan masuk ke aplikasi dan memindai QR code yang terdapat di pintu masuk beberapa pusat keramaian. Aplikasi PeduliLindungi mencakup informasi vaksin dan status dari kesehatan terkait virus COVID-19 resmi dari pemerintah yang membuatnya dipakai oleh banyak orang. Sentimen yang berada pada bagian ulasan aplikasi dapat membantu pengembang dalam menilai kepuasan pelanggan. Model yang digunakan dalam analisis sentimen di penelitian ini adalah algoritma Support Vector Machine dengan metode preprocessing menggunakan TF-IDF. Dalam penelitian ini diperoleh skor akurasi 0,83, skor precision 0,79, skor recall 0,81, dan skor F1 0,79 sehingga model dapat digunakan untuk menganalisis sentimen pada aplikasi PeduliLindungi dengan baik.
Co-Authors Abdul Q. M. Khaliq Airell, Thomas Albert Albert Alethea Suryadibrata Andre Rusli Andreas Baskoro Wibowo Andreas Budiman Andy Santoso Andy Tanu Ciaputra Arthur Bachtiar Gunawan Aryono, Teddy Audrey Sugiarto Audy Audy Audy Brian Kristianto Brinardi Leonardo Daniel Halim David Hartanto Kamagi David Widodo Dennis Gunawan Dennis Gunawan Dewangga, Chendra Dharma Pratama Edbert Wibowo Sumarlin Erik Tangganu Erwin Ruslim Sia Fandy Ferdian Harryanto Farica Perdana Putri Fransiscus Xaverius Syahasta A.T. Halim, Rendy Hargyo Tri Nugroho I. Hayanto, Naufal Irfan Hendry Setiawan Henry Setiana Hugeng Hugeng Indah Noviasari Irma Yunita Ivan Oktana Ivana Herliana W. Jayawardanu Jason Christian Jessica Jessica Jessika Wandapranata Jhondry, Michael John Elmer Semaya John, Richard Joko Haryanto Julio Christian Young Kencana Wulan Argakusumah Kevin kevin Kristanda, Marcel Bonar Kristanda, Marcel Bonar Kristian Kristian Kristian Tjandradiredja Lesmana, Dennis Johanes Lucy Meiliana M. Chaeril Maricar Marbun, Erikson Marcel Bonar Kristanda Marcel Bonar Kristanda Marsel Widjaja Marvin Apriyadi Mochamad Rizky Zaldi Moeljono Widjaja Monica Santika Muh Salehuddin Muhammad Salehuddin Oktavianus, Alvin P. M. Winarno Pandean, Santo Sinar Peggy Peggy Rasi Rahwali Renaldo Valentdra Rendy Rendy Simon Salomon Sirait, Gilbert Stanley Sutedy Stefanie Sirapanji Stephanie Halim Subanar . subanar subanar Sumarlin, Edbert Wibowo Sutedy, Stanley Teddy Aryono Vincentius Wirawan William Aprilius Wiratama, Yustinus Widya Wiratama, Yustinus Widya Wiryaputra, Samuel Yosua Petra Yosua Petra, Yosua Yustinus Vernanda Yustinus Widya Wiratama Yustinus Widya Wiratama