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All Journal Jusikom : Jurnal Sistem Komputer Musirawas Sains, Aplikasi, Komputasi dan Teknologi Informasi International Journal of Advanced Health Science and Technology Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi
Tri Basuki Kurniawan
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Aerospace Engineering Computer Science & IT Electrical & Electronics Engineering Health Professions Nursing Public Health

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How to support teenagers in social media utilization: based on mother's experience Ira Kusumawaty; Fadly; Tri Basuki Kurniawan; Yunike
International Journal of Advanced Health Science and Technology Vol. 2 No. 3 (2022): June
Publisher : Forum Ilmiah Teknologi dan Ilmu Kesehatan (FORITIKES)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/ijahst.v2i3.14

Abstract

The complexity and vulnerability of physical, psychological and social conditions result in the possibility of adolescents slumping in the circumstance of social media addiction in the existing era of digitalization. The problem of mother’s support to adolescents is very complex and undeniably becomes very necessary in directing teenagers throughout the utilization of social media. However, research related to the assistance of a mother towards adolescents in accompanying social media is still highly restricted. This study intends to explore forms of mother assistance to adolescents in utilizing social media based on their experiences. This qualitative study applied a phenomenological approach, involving twelve mothers with adolescent children and determined based on purposive sampling techniques. Data collection is done through in-depth interviews and compiled into transcripts, further determining the code, categories, and themes. The analysis process uses Colaizzi method, so that after the theme is formulated, the validation of the theme by participants is carried out. Trustworthiness, peer de briefing is conducted to ensure the validity of research results. The three themes produced related to the mother's experiences in accompanying adolescents are educating themselves, openness in communicating and formulating a mutual commitment. It can be concluded that the mother is a strong figure in keeping teenagers from falling into the heartbreaking condition of social media addiction. It is recommended that social media addiction prevention programs be developed through the coordination of families, teachers and peers based on the policies of the education department.
Analisa Tingkat Pelayanan IT Service Management pada Penerapan Sistem Ujian Nasional berbasis Komputer dengan menggunakan Kerangka Kerja ITIL v3 Evi Novilia; Widya Cholil; Tri Basuki Kurniawan
Sains, Aplikasi, Komputasi dan Teknologi Informasi Vol 2, No 1 (2020): Sains, Aplikasi, Komputasi dan Teknologi Informasi
Publisher : Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/jsakti.v2i1.2570

Abstract

Ujian Nasional berbasis Komputer (UNBK) sudah menjadi bagian dari evaluasi pendidikan yang bertujuan untuk memetakan bagaimana kondisi pendidikan di Indonesia. UNBK pertama kali dilaksanakan pada tahun 2014 secara dari dan dilakukan secara terbatas. Namun sejak tahun 2017 proses evaluasi berbasis komputer sudah diwajibkan di seluruh sekolah atas, termasuk MAN 1 Palembang, MAN 2 Palembang dan MAN Musi Rawas. Dalam mendukung proses evaluasi berbasis komputer diperlukan sistem Ujian Nasional yang terintegrasi. Kendala yang terjadi adalah hanya beberapa sekolah atas yang lolos uji verifikasi, umumnya disebabkan oleh jaringan, proses data, proses sistem yang berjalan dan layanan dari segi TI. Penelitian dilakukan dengan meninjau bagaimana kualitas, kontinuitas dan kinerja layanan TI dalam sistem dengan pendekatan service design Framework ITIL v3, dengan menggunakan 7 parameter utama yakni Service Catalog Management, Service Level Management, Service Design Process, Service Design Technology Related Activities, Organizing for Service Design, Service Design Technology Consideration, Service Design Process Implementation Consideration. Dari hasil asesmen, dihasilkan nilai asesmen tertinggi untuk Service Catalog Management dan nilai asesmen terendah Service Design Technology Related Activities
KLASIFIKASI OPINI MASYARAKAT TENTANG HARGA KARET MENGGUNAKAN MACHINE LEARNING Yustida Bellini; M Izman Herdiansyah; Tri Basuki Kurniawan; Yesi Novaria Kunang
Jusikom : Jurnal Sistem Komputer Musirawas Vol 8 No 1 (2023): Jusikom : Jurnal Sistem Komputer Musirawas JUNI
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jusikom.v8i1.2058

Abstract

Indonesia is the world’s largest rubber producer after Thailand with an average income of 3.107.544 tons/year, with these data many Indonesian people become rubber farmers to make ends meet. The price of rubber has a large impact on the lives of the Indonesian people so that when the price of tubber decreases or increases, many people speculate and have opinions about the price of rubber, therefore this study aims to classify public opinion regarding the price of rubber. People’s opinions and expressions regarding the price of rubber are often expressed by them on the social networking site Twitter, Twitter is the most common public means of expressing the emotions of people all over the world today. In this study, the classification of public opinion regarding rubber prices was carried out based on public opinion on the social networking site Twitter. The purpose of this study is to find out the sentiments circulating on Twitter regarding the price of rubber using Naïve Bayes algorithm. Based on the result of the research that has been done, negative sentiment is obtained by 92% and positive sentiment is obtained by 62%, while the accuracy value is obtained by 84%. The conclusion of this study is that the community has more negative than positive opinions about the price of rubber.
KLASIFIKASI OPINI MASYARAKAT TENTANG HARGA KARET MENGGUNAKAN MACHINE LEARNING Yustida Bellini; M Izman Herdiansyah; Tri Basuki Kurniawan; Yesi Novaria Kunang
Jusikom : Jurnal Sistem Komputer Musirawas Vol 8 No 1 (2023): Jusikom : Jurnal Sistem Komputer Musirawas JUNI
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jusikom.v8i1.2058

Abstract

Indonesia is the world’s largest rubber producer after Thailand with an average income of 3.107.544 tons/year, with these data many Indonesian people become rubber farmers to make ends meet. The price of rubber has a large impact on the lives of the Indonesian people so that when the price of tubber decreases or increases, many people speculate and have opinions about the price of rubber, therefore this study aims to classify public opinion regarding the price of rubber. People’s opinions and expressions regarding the price of rubber are often expressed by them on the social networking site Twitter, Twitter is the most common public means of expressing the emotions of people all over the world today. In this study, the classification of public opinion regarding rubber prices was carried out based on public opinion on the social networking site Twitter. The purpose of this study is to find out the sentiments circulating on Twitter regarding the price of rubber using Naïve Bayes algorithm. Based on the result of the research that has been done, negative sentiment is obtained by 92% and positive sentiment is obtained by 62%, while the accuracy value is obtained by 84%. The conclusion of this study is that the community has more negative than positive opinions about the price of rubber.
Identifikasi Komentar Spam Pada Sosial Media Zena Lusi; Ayu Eka Saputri; Tri Basuki Kurniawan
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 2 No. 2 (2024): Mei : Jurnal Ilmu Komputer Dan Teknologi Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/neptunus.v2i2.100

Abstract

The use of social media is already powerful and difficult to avoid. Social media users are not only limited to the general public, but also public figures and even economic actors who use social media as a means of marketing. In every post from the account owner, there will always be followers who can give likes and comments. Unfortunately, not all comments are related to the uploaded post. One of the most annoying comments is spam comments. Spam comments are comments that are not clear and contain about business (promos / selling), links or various other things that are promoting something. Using the Naive Bayes algorithm, this study wants to identify spam comments, especially on Instagram social media. Where the data is retrieved using the tools provided by Google. Which is then processed with the Rapidminer application to get the Naive Bayes calculation results.
Co-Authors Ayu Eka Saputri Evi Novilia Fadly M Izman Herdiansyah Widya Cholil Yesi Novaria Kunang Yunike, Yunike Yustida Bellini Zena Lusi