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All Journal ComEngApp : Computer Engineering and Applications Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) TELKOMNIKA (Telecommunication Computing Electronics and Control) CommIT (Communication & Information Technology) Sisforma: Journal of Information Systems Journal of Information Systems Engineering and Business Intelligence EMITTER International Journal of Engineering Technology IJoICT (International Journal on Information and Communication Technology) E-Dimas: Jurnal Pengabdian kepada Masyarakat Fountain of Informatics Journal Journal of Information Technology and Computer Science Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control JOURNAL OF APPLIED INFORMATICS AND COMPUTING JMM (Jurnal Masyarakat Mandiri) JCES (Journal of Character Education Society) JUTEI (Jurnal Terapan Teknologi Informasi) International Journal of New Media Technology ABDIMAS SILIWANGI Explore IT : Jurnal Keilmuan dan Aplikasi Teknik Informatika Journal of Information Technology and Computer Engineering ComTech: Computer, Mathematics and Engineering Applications Altruis: Journal of Community Services Jurnal Abdimas Ilmiah Citra Bakti (JAICB) Journal of Technology and Informatics (JoTI) Abdimas Altruis: Jurnal Pengabdian Kepada Masyarakat Konstelasi: Konvergensi Teknologi dan Sistem Informasi Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Jurnal Inovatif Wira Wacana JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Oscar Karnalim, Oscar
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science 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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PERAN INFOGRAFIS SEBAGAI PENUNJANG DALAM PROSES PEMBELAJARAN SISWA Wenny Franciska Senjaya; Oscar Karnalim; Erico Darmawan Handoyo; Sulaeman Santoso; Robby Tan; Maresha Caroline Wijanto; Doro Edi
ABDIMAS ALTRUIS: Jurnal Pengabdian Kepada Masyarakat Vol 2, No 1 (2019): April 2019
Publisher : Universitas Sanata Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (323.055 KB) | DOI: 10.24071/aa.v2i1.2136

Abstract

Complexitor: An Educational Tool for Learning Algorithm Time Complexity in Practical Manner Elvina Elvina; Oscar Karnalim
ComTech: Computer, Mathematics and Engineering Applications Vol. 8 No. 1 (2017): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v8i1.3783

Abstract

Based on the informal survey, learning algorithm time complexity in a theoretical manner can be rather difficult to understand. Therefore, this research proposed Complexitor, an educational tool for learning algorithm time complexity in a practical manner. Students could learn how to determine algorithm time complexity through the actual execution of algorithm implementation. They were only required to provide algorithm implementation (i.e. source code written on a particularprogramming language) and test cases to learn time complexity. After input was given, Complexitor generated execution sequence based on test cases and determine its time complexity through Pearson correlation. An algorithm time complexity with the highest correlation value toward execution sequence was assigned as its result. Based on the evaluation, it can be concluded this mechanism is quite effective for determining time complexity as long as the distribution of given input set is balanced.
Pengembangan Pola Berpikir Sistematis Melalui Pengenalan Pemrograman Visual Pada Peserta didik Tingkat Menengah Atas Robby Tan; Maresha Caroline Wijanto; Oscar Karnalim; Setia Budi; Mewati Ayub; Diana Trivena Yulianti; Hendra Bunyamin; Sendy Ferdian Sujadi; Rossevine Artha Natasya
Altruis: Journal of Community Services Vol. 2 No. 4 (2021): Altruis
Publisher : University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/altruis.v2i4.18427

Abstract

Systematic thinking is a process of thinking that should be introduced from early age. While developing such thinking, students will learn how to solve a task by breaking it down to smaller tasks and complete them one by one. There are many activities that can support such thinking. One of them is to program visually. Visual programming is usually featured with drop-down blocks where students are only required to choose which process or logic needed than then put them in the play board. A training of such activity was done in a high school at Bandung, Indonesia with Scratch. Students were first introduced with Scratch, a software that is expected to help them think systematically. For conducting the training itself, several stages were followed. It started with introduction, and then followed by lecture and case-based practice. To engage students with the practice, the case study is COVID-19 where students are expected to deliver relevant information creatively, such as developing a game of social distancing, spray vs virus, etc. Evaluation shows that via this training, students were able to further develop their own systematic thinking via the creation of Scratch projects. Further, they believed that this training is interesting and can help them to study in the high school.
The Use of Python Tutor on Programming Laboratory Session: Student Perspectives Oscar Karnalim; Mewati Ayub
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol 2, No 4, November-2017
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3314.027 KB) | DOI: 10.22219/kinetik.v2i4.442

Abstract

Based on the fact that the impact of educational tools can only be accurately measured through student-centered evaluation, this paper proposes a long-term in-class evaluation for Python Tutor, a program visualization tool developed by Guo. The evaluation involves 53 students from 4 Basic Data Structure classes, which were held in the even semester of 2016/2017 academic year. It is conducted based on questionnaire survey asked to the students after they have used Python Tutor in their half of programming laboratory sessions. In general, there are three findings from this work. Firstly, Python Tutor helps students to complete programming laboratory tasks, specifically for Basic Data Structure material. Secondly, Python Tutor helps students to understand general programming aspects which are execution flow, variable content change, method invocation sequence, object reference, syntax error, and logic error. Finally, based on student perspectives, Python Tutor is a helpful tool positively affecting the students.
PENGENALAN DESIGN-THINKING MENGGUNAKAN CANVA PADA SISWA SEKOLAH MENENGAH TINGKAT ATAS Robby Tan; Oscar Karnalim; Maresha Caroline Wijanto; Diana Trivena Yulianti; Risal Risal; Doro Edi; Teddy Marcus Zakaria; Sendy Ferdian Sujadi; Rossevine Artha Nathasya
Abdimas Siliwangi Vol 5, No 2 (2022): Juni 2022
Publisher : IKIP SILIWANGI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22460/as.v5i2.9707

Abstract

Perkembangan teknologi informasi dan komunikasi (TIK) dalam dunia pendidikan mempengaruhi proses penyampaian dan cara belajar siswa. Pola pembelajaran yang dahulu merupakan teacher-centered learning bergeser ke student-centered learning. Salah satu bagian dari pergeseran pola belajar ini adalah semakin dalamnya integrasi (TIK) dalam pendidikan. Pengajar akan menggunakan TIK dalam menjelaskan materi-materi yang diberikan dan siswa akan menggunakan TIK untuk membuat tugas-tugas yang diberikan. Canva merupakan salah satu kakas yang dapat digunakan sebagai media dan penyampaian pembelajaran dengan konsep design-thinking. Konsep pembelajaran tersebut diusung dalam kegiatan pengabdian masyarakat yang ditujukan untuk siswa sekolah menengah tingkat atas (SMA). Pelaksanaan kegiatan dilakukan secara daring secara paralel untuk tujuh kelas tingkat XI yang diawali dengan penyampaian materi kemudian dilanjutkan dengan pembuatan proyek Canva secara berkelompok. Tema yang diusung pada pembuatan proyek ini adalah pengembangan budaya wisata dan kuliner yang ada pada daerah masing-masing anggota kelompok. Melalui proyek ini, siswa diajak untuk saling berkolaborasi secara daring untuk menggabungkan ide dan kreativitas sehingga menghasilkan sebuah karya yang dengan memperhatikan target dan point-of-view audiensi. Evaluasi dari kegiatan yang dilaksanakan menunjukkan bahwa materi yang diberikan dapat menarik minat siswa untuk mengembangkan kemampuan yang dapat berguna selama proses pembelajaran di sekolah.
Topic Analysis Video Debat Jelang Pemilu Presiden dan Wakil Presiden Tahun 2024 Ivana Valentina; Aziz Mu’min; Devion Tanrico; Oscar Karnalim
Jurnal Teknoif Teknik Informatika Institut Teknologi Padang Vol 12 No 1 (2024): TEKNOIF APRIL 2024
Publisher : ITP Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21063/jtif.2024.V12.1.29-35

Abstract

Several debates were held among presidential and vice presidential candidates to convey their ideas for the 2024 presidential general election (PEMILU). This research analyzes the topics discussed in the debates using Latent Dirichlet Allocation (LDA), K-means Clustering, and word tagging methods for each candidate pair. The K-Means Clustering method yielded more diverse and evenly distributed topics for each candidate pair, while LDA produced fewer topics but was more effective in identifying topics for candidate A. The K- Means Clustering method yielded more diverse and evenly distributed topics for each candidate pair, while LDA produced fewer topics but was more effective in identifying topics for candidate. These are somewhat consistent with previos works. A. In dataset 1 using the LDA model, candidate pairs A have a probability of 60%, B have a probability of 25%, and C have a probability of 0%. In dataset 2 using the K-Means model, candidate pairs A have a probability of 37.04%, B have a probability of 25%, and C have a probability of 17.24%. In dataset 2 using the LDA model, candidate pairs A have a probability of 100%, B have a probability of 40%, and C have a probability of 0%. In dataset 2 using the K-Means model, candidate pairs A have a probability of 35.71%, B have a probability of 14.29%, and C have a probability of 28.57%.
PELATIHAN COMPUTATIONAL THINKING UNTUK GURU SDK 6 BPK PENABUR BANDUNG MELALUI BEBRAS TASK DAN AKTIVITAS UNPLUGGED Mewati Ayub; Hendra Bunyamin; Oscar Karnalim; Robby Tan; Maresha Caroline Wijanto; Doro Edi; Julianti Kasih; Andreas Widjaja; Adelia; Meliana Christianti; Wenny Franciska Senjaya; Swat Lie Liliawati; Rossevine Artha Nathasya
Jurnal Abdimas Ilmiah Citra Bakti Vol. 5 No. 3 (2024)
Publisher : STKIP Citra Bakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38048/jailcb.v5i3.3799

Abstract

Konsep computational thinking (CT) diperlukan dalam dunia digital saat ini agar setiap orang dapat belajar dan bekerja secara cerdas. Untuk membangun kembali interaksi antar guru dan siswa yang terkendala pada saat pandemi Covid 19, maka interaksi yang efektif antar guru dan siswa dalam pembelajaran pasca pandemi dapat dilakukan dengan menerapkan CT dalam pembelajaran.  Pelatihan CT untuk guru-guru SDK 6 BPK Penabur dilakukan dengan tujuan agar setiap guru dapat menerapkan konsep CT dan aktivitas unplugged dalam pembelajaran yang bersifat interaktif. Pelatihan guru yang dilaksanakan secara luring pada 15 Maret 2024 dan 22 Maret 2024, diikuti oleh 30 orang peserta. Setelah materi konsep CT, Bebras task, dan aktivitas unplugged disampaikan, guru diberi tugas kelompok untuk membuat rencana penerapan CT dalam mata pelajaran serta membuat rencana aktivitas unplugged untuk membantu siswa dalam menerapkan CT dalam persoalan sehari-hari. Hasil dari tugas kelompok yang dibuat peserta menunjukkan nilai rata-rata sangat baik dalam penerapan CT dan aktivitas unplugged. Sebagian besar peserta berpendapat penerapan CT sangat bermanfaat untuk diterapkan dalam pembelajaran di tingkat sekolah dasar untuk melatih anak berpikir kritis dan kreatif dalam memecahkan masalah di kehidupan sehari-hari.
Kepercayaan Mahasiswa S1 di Indonesia Terhadap Pengambilan Data Pribadi Digital di Media Sosial Karnalim, Oscar; Wijaya, Bernadus Indra; Martua, Juan Sterling; Kurniawan, Phin; Samosir, Moses Marzuki
Jurnal Inovatif Vol. 2 No. 2 (2023): Agustus 2023
Publisher : Universitas Kristen Wira Wacana Sumba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58300/inovatif.v2i2.634

Abstract

Sebagian besar mahasiswa di Indonesia menghabiskan waktu mereka untuk menggunakan media sosial. Mereka perlu menyetujui dan memberikan data pribadi mereka kepada platform media sosial agar bisa menggunakannya. Namun, ada dampak negatif ketika mereka sering mengunggah dan memperbarui data pribadi di media sosial. Penelitian ini bertujuan untuk mengevaluasi tingkat kepercayaan mahasiswa S1 di Indonesia terhadap keamanan data pribadi mereka di media sosial. Metode penelitian melibatkan survei yang menilai tingkat kepercayaan, pengetahuan, dan kesadaran mahasiswa tentang privasi data di media sosial. Hasil survei menunjukkan bahwa mayoritas responden memiliki tingkat kepercayaan yang memadai terhadap keamanan data di media sosial. Mereka juga memiliki pengetahuan yang baik tentang privasi di platform tersebut dan menyadari risiko pengambilan data pribadi. Namun, temuan menunjukkan bahwa mahasiswa berpendapat bahwa regulasi mengenai keamanan data pribadi di Indonesia perlu diperbaiki. Selain itu, sebagian besar mahasiswa memiliki pemahaman tentang kebijakan privasi di media sosial, tetapi kurang dari separuh dari mereka yang benar-benar membaca teks syarat dan ketentuan platform tersebut.
Analisis Perbandingan Moodle dan Google Classroom Menggunakan Technology Acceptance Model Santiadi, Sherly; Majiah, Arya Tri Putra; Ruis, Nisa Deviani Agustin; Annabel, Kathleen Felicia; Karnalim, Oscar
Jurnal Terapan Teknologi Informasi Vol 8 No 1 (2024): Jurnal Terapan Teknologi Informasi
Publisher : Fakultas Teknologi Informasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21460/jutei.2024.81.288

Abstract

The study aims to analyze the comparison of student acceptance levels of the Learning Management System (LMS) which are Moodle and Google Classroom using the Technology Acceptance Model (TAM) in the West Java region, Indonesia. The results of this study show that there is a difference in the level of acceptance of the two LMSs but the difference is not very significant.  Moodle appears to be slightly more effective in increasing student productivity and is more commonly used in West Java due to the sample of respondents who are mostly from the Faculty of Information Technology (FIT) at Maranatha Christian University. FIT students have largely adopted the Moodle LMS implemented into the Morning Platform (Maranatha Online Learning). With more complex features, Moodle meets the needs of more experienced users. On the other hand, Google Classroom is considered easier to use, especially for students who are new to the LMS. However, over a longer period of time, Moodle maintained a slight edge in terms of usability and user satisfaction. This research makes an important contribution in understanding the preferences and needs of university students in terms of LMS usage, especially in the West Java region.
Prediksi Analisis Sentimen Data Debat Pemilihan Presiden 2024 Menggunakan Support Vector Machine (SVM) Vardina Nava Madya Kusman; Vanessa Metayani; Oscar Karnalim

Publisher : Program Studi Teknik Informatika, Fakultas Teknik, Universitas Yudharta Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35891/explorit.v16i1.4887

Abstract

Penelitian ini bertujuan untuk mengembangkan model klasifikasi menggunakan Support Vector Machine untuk menganalisis sentimen pada data dialog debat Pemilihan Presiden tahun 2024. Sentimen dari ucapan tidak selalu dapat diketahui, sehingga model dalam penelitian ini diusulkan untuk menemukan sentimen dibalik ucapan. Untuk dapat memprediksi sentimen, model dilatih dengan data debat pilpres yang telah dikumpulkan. Model kemudian melakukan klasifikasi terhadap data tersebut, dan kemudian diuji tingkat akurasinya. Setelah diuji menggunakan data tes, diperoleh nilai akurasi sebesar 52,5%. Hasil tersebut kurang memuaskan, maka dilakukan optimasi terhadap model dan data, Hasilnya, nilai akurasi meningkat menjadi sekitar 94%. Untuk kedepannya, mungkin data yang digunakan bisa semakin ditingkatkan dengan memperhatikan distribusi kelas dalam data.
Co-Authors ADELIA Adelia Adelia, Adelia Aditya Permadi Aditya Permadi Aldi Aldiansyah Andreas Widjaja Andreas Widjaja Andrisyah Andrisyah Andrisyah Andrisyah Annabel, Kathleen Felicia Avinash, Avinash Aziz Mu’min Bayu Rima Aditya Bertha Alan Manuel Bertha Alan Manuel Daniel Jahja Surjawan Devion Tanrico Diana Trivena Yulianti Dina Fitria Murad Dina Fitria Murad Doro Edi Egie Imandha, Egie Elvina Elvina Elvina Elvina Erico Darmawan Handoyo Fathul Jannah Felicia Annabel, Kathleen Felix Christian Jonathan Felix Christian Jonathan Felix Christian Jonathan Gisela Kurniawati Haba Ito, Ridolof Hapnes Toba Hendra Bunyamin Hendra Bunyamin Hendra Bunyamin Irawan Nurhas Iryanto Faot, Pace Ivana Valentina Johan, Meliana Christianti Julianti Kasih Julianti Kasih, Julianti Kurniawan, Phin Kurniawati, Gisela Kusman, Vardina Nava Madya Lemmuela , Ivana Valentina Liliawati, Swat Lie Lucky Christiawan Lucky Christiawan, Lucky Majiah, Arya Tri Putra Maresha Caroline Wijanto Maresha Caroline Wijanto Maresha Caroline Wijanto Maresha Caroline Wijanto Maresha Caroline Wijanto Maresha Caroline Wijanto Marlina Marlina Martua, Juan Sterling Metayani, Vanessa Mewati Ayub Mulyono, Yovie Adhisti Mu’min, Aziz Oscar Wongso Pangestu, Muftah Afrizal Panji Yudasetya Wiwaha Rachmi Rachmadiany Ricardo Franclinton Risal Risal Risal Robby Tan Rossevine Artha Nathasya Ruis, Nisa Deviani Agustin Samosir, Moses Marzuki Santiadi, Sherly Sendy Ferdian Sujadi Setia Budi Setia Budi Setiawan, Yehezkiel David Simalango, Veronica Marcella Angela Sofriesilero Zumaytis Sulaeman Santoso Sulistiani, Lisan Sulistiani, Lisan Tanrico, Devion Teddy Marcus Zakaria Teddy Marcus Zakaria Tendy Cahyadi, Tendy Tjatur Kandaga Valentina, Ivana Vanessa Metayani Vardina Nava Madya Kusman Vincent Elbert Budiman Wenny Franciska Senjaya Wijaya, Bernadus Indra Wiwaha, Panji Yudasetya Yan Sen Paulus Yudha, Laurentius Gusti Ontoseno Panata Zaqi Megantara, Rizky