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All Journal Jurnal Teknik Informatika Jurnal Informatika Jurnal Algoritma Jurnal Sosioteknologi Journal of ICT Research and Applications Jurnal Edukasi dan Penelitian Informatika (JEPIN) Jurnal Informatika Jurnal Filsafat Civil Engineering Journal Jurnal Teknologi dan Informasi ETNOREFLIKA: Jurnal Sosial dan Budaya IJAIT (International Journal of Applied Information Technology) JIKA (Jurnal Informatika) Jurnal Instrumentasi Jurnal Filsafat Indonesia Jurnal Algoritma Jurnal Sistem Informasi Journal of Digital Literacy and Volunteering Journal of Digital Literacy and Volunteering
Dimitri Mahayana
Sekolah Teknik Elektro Dan Informatika, Institut Teknologi Bandung
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Social Sciences Other

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Kajian Adiksi Internet dan Adiksi Media Sosial dari Sisi Filsafat Sains Ade Chandra; Ayu Latifah; Hasta Pratama; Okyza Maherdy; Radiant Victor Imbar; Dimitri Mahayana
Jurnal Algoritma Vol 17 No 2 (2020): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (659.175 KB) | DOI: 10.33364/algoritma/v.17-2.409

Abstract

Perkembangan internet sangat mempengaruhi seluruh aspek kehidupan manusia dan sebagian pengguna internet adalah generasi muda. Dengan pengguna internet yang semakin banyak maka masalah adiksi internet dan sosial media menjadi hal yang diangkat oleh Dr. Kimberly Young. Penelitian ini akan meneliti adiksi internet dan sosial media yang akan dianalisis dengan metode deskriptif dan inferensial menggunakan analisis regresi logistik biner. Apakah usia sekolah, jenis pekerjaan dan waktu akses website mempengaruhi kecenderungan seseorang mengalami adiksi internet dan sosial media. Berdasarkan hasil uji statistik dapat disimpulkan bahwa variabel usia sekolah, jenis pekerjaan dan waktu akses website mempengaruhi kecenderungan seseorang mengalami adiksi internet. Sedangkan variabel jenis kelamin dan domisili tidak mempengaruhi kecenderungan seseorang mengalami adiksi internet. Kajian ini membuktikan bahwa adiksi pada internet maupun media sosial itu nyata di Indonesia dan dapat digolongkan sebagai science, bukan pseudo-science. Oleh karenanya perlu adanya perhatian khusus terhadap kasus ini, karena dampak yang ditimbulkan selain memiliki pengaruh buruk pada kesehatan secara fisik, juga dapat menimbulkan gangguan secara psikologis.
Avoiding Machine Learning Becoming Pseudoscience in Biomedical Research Meredita Susanty; Ira Puspasari; Nilam Fitriah; Dimitri Mahayana; Tati Erawati Latifah Rajab; Hasballah Zakaria; Agung Wahyu Setiawan; Rukman Hertadi
Jurnal Informatika Vol 10, No 1 (2023): April 2023
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/inf.v10i1.12787

Abstract

The use of machine learning harbours the promise of more accurate, unbiased future predictions than human beings on their own can ever be capable of. However, because existing data sets are always utilized, these calculations are extrapolations of the past and serve to reproduce prejudices embedded in the data. In turn, machine learning prediction result raises ethical and moral dilemmas. As mirrors of society, algorithms show the status quo, reinforce errors, and are subject to targeted influences – for good and the bad. This phenomenon makes machine learning viewed as pseudoscience. Besides the limitations, injustices, and oracle-like nature of these technologies, there are also questions about the nature of the opportunities and possibilities they offer. This article aims to discuss whether machine learning in biomedical research falls into pseudoscience based on Popper and Kuhn's perspective and four theories of truth using three study cases. The discussion result explains several conditions that must be fulfilled so that machine learning in biomedical does not fall into pseudoscience
Influence Factors of Social Media and Gadget Addiction of Adolescent in Indonesia M. Octaviano Pratama; Dwi Harinitha; Susmini Indriani; Bryan Denov; Dimitri Mahayana
Jurnal Sistem Informasi Vol. 16 No. 1 (2020): Jurnal Sistem Informasi (Journal of Information System)
Publisher : Faculty of Computer Science Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (254.823 KB) | DOI: 10.21609/jsi.v16i1.918

Abstract

Social media user in Indonesia has growth rapidly since its emergence. In 2019, one of largest social media platform, Facebook has 3 billion users world wide user and 130 million users of them come from Indonesia. Moreover, the other social media like Instagram also has significantly growth with most of user are teenagers. Massive social media usage was caused by more than 100 million active users that use gadget or smartphone to open application like social media. Both of widely social media and gadget usage is not only have possitive impact but also negative impact like mental and behaviour problem if the user has been addicted. Hence the requirement of knowing influence factors of social media and gadget addiction in Indonesia is required in order to prevent addiction of social media and gadget. In this paper, the influence factors of social media and gadget addiction in Indonesia is investigated using several techniques like data science, partial least square, and structural equation modelling
Studi Pengenalan Pola untuk Tulisan Tangan dalam Pandangan Teori Kuhn & Popper Reza Budiawan; Arief Ichwan; Rinaldi Munir; Dimitri Mahayana
Jurnal Filsafat Indonesia Vol. 6 No. 2 (2023)
Publisher : Undiksha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jfi.v6i2.41740

Abstract

Perkembangan ilmu pengetahuan terjadi di berbagai bidang pengetahuan ilmiah. Hal ini merupakan perwujudan dari dasar filsafat modern logosentris yang identik dengan kebenaran tunggal dan absolut. Salah satunya dapat dilihat pada bidang penelitian pengenalan tulisan tangan. Sistem pengenalan tulisan tangan merupakan kemampuan komputer dalam menerjemahkan tulisan tangan menjadi bentuk digital. Terdapat paling tidak dua pendekatan yang umum diimplementasikan pada studi ini, yaitu pendekatan tradisional dan modern. Pendekatan pada studi tersebut memperlihatkan adanya perkembangan dalam penelitian yang sudah berlangsung dalam waktu yang lama. Studi ini dilakukan untuk melihat adanya pergeseran paradigma dalam penelitian yang dilakukan. Menurut teori Kuhn, pergeseran paradigma terjadi ketika adanya pergantian sebagian atau seluruh cara pandang pada ilmu pengetahuan. Pergeseran paradigma ini dilihat dari observasi tujuh puluh publikasi yang paling banyak disitasi di bidang pengenalan tulisan tangan. Melalui pembahasan, terlihat bahwa adanya perkembangan nonkumulatif pada studi yang dilakukan. Selain itu, memperlihatkan topik penelitian pengenalan tulisan tangan yang sudah masuk ke dalam tahap anomali dalam tahap perkembangan ilmu menurut teori Thomas Kuhn.
Perkembangan Paradigma Metode Klasifikasi Citra Penginderaan Jauh dalam Perspektif Revolusi Sains Thomas Kuhn Ambarwari, Agus; Husni, Emir Mauludi; Mahayana, Dimitri
Jurnal Filsafat Indonesia Vol. 6 No. 3 (2023)
Publisher : Undiksha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jfi.v6i3.53865

Abstract

The rapid improvement of remote sensing technology has given rise to three paradigms of remote sensing image classification methods, namely pixel-based, object-based, and scene-based. This article aims to explain or reveal the development of remote sensing image classification methods and their relationship with Thomas Kuhn's scientific revolution process (pre-paradigm, normal science, anomaly, crisis, and scientific revolution) that occurs in the development of these classification methods. The preparation of this article uses a descriptive qualitative method. Reference sources are journal articles collected from the Scopus database with topics related to classification and remote sensing. Other reference sources are data extracted from review articles. From all the references collected, a literature study is then carried out by analyzing the article's title, abstract, and overall content. After that, the stages of the scientific revolution related to the development of classification methods in remote sensing images were described. Based on the review of the articles, it can be explained that the development of classification methods for remote sensing imagery began in the 1970s when the Landsat satellite was first launched. In this early period, the classification method used was based on pixels or sub-pixels, because the spatial resolution of remote sensing imagery was shallow. As remote sensing technology developed, in the 2000s a new approach was discovered that was more efficient than the pixel-based approach for classifying high-resolution imagery, namely object-based classification methods. Then, with the release of the land use dataset (UC-Merced) in the 2010s, scene-based remote sensing image interpretation began to be used, as pixel- and object-based methods were insufficient to classify correctly.
Quantum Machine Learning Untuk Prediksi Emisi Gas Rumah Kaca dalam Perspektif Filsafat Sains : Quantum Machine Learning for Predicting Greenhouse Gas Emissions from a Philosophy of Science Perspective Hidayat, Wahyu; Surendro, Kridanto; Mahayana, Dimitri; Rosmansyah, Yusep
Jurnal Filsafat Indonesia Vol. 7 No. 2 (2024)
Publisher : Undiksha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jfi.v7i2.72236

Abstract

The climate change issues due to greenhouse gas emissions and the emergence of Quantum Machine Learning technology have sparked various studies in utilizing quantum machine learning (QML) to predict greenhouse gas emissions (GHG). This article aims to illustrate research related to the implementation of QML for GHG emission prediction from the perspective of the philosophy of science, particularly in terms of the scientific revolution from Thomas Kuhn's perspective, research program analysis from Imre Lakatos' perspective, pseudoscience pitfalls, potential biases of injustice, ethical and moral aspects, and their impact on society. The article is structured using a qualitative descriptive method. Reference sources include original articles and review articles from journals collected from the Scopus database with topics related to GHG emission prediction. Based on the review of the articles, it can be outlined that research on QML for GHG emission prediction is a progressive science currently in the phase of intensive exploration and development, where the research paradigm in this area is dominated by logical positivism and pragmatism. However, over time and with the development of the research context, new paradigms may emerge as additions or even replace existing research paradigms. The article also identifies the potential biases of injustice, ethical and moral aspects, and the impact of research in this field on society, recommending five strategies to avoid pseudoscience pitfalls related to research on QML for GHG emission prediction.
Keamanan Data Internet of Things dalam Perspektif Pseudosains Mario Bunge: Internet of Things Data Security in Mario Bunge's Pseudoscience Perspective Pradana, Aditya; Bandung, Yoanes; Mahayana, Dimitri; Rosmansyah, Yusep
Jurnal Filsafat Indonesia Vol. 7 No. 2 (2024)
Publisher : Undiksha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jfi.v7i2.72435

Abstract

Data security is a major concern in the rapidly growing Internet of Things (IoT). This paper investigates the data security aspects of IoT with a pseudoscience perspective inspired by Mario Bunge. The purpose of this research is to understand and address data security challenges in IoT environments. First, researcher identify and evaluate potential vulnerabilities and threats to data, hacking risks, and data encryption needs. Then, researcher analyze commonly used security methods and strategies, including blockchain, fog computing, edge computing, and machine learning. Bunge's pseudoscience approach helps in comprehensively understanding and analyzing IoT data security. The results show a deeper understanding of the data security challenges in IoT, as well as detailed recommendations for risk mitigation. This research highlights the importance of a holistic approach that blends technical and philosophical aspects to address data security issues in IoT. The pseudoscience perspective helps in developing a solid conceptual framework and encourages critical thinking in formulating effective security strategies. In conclusion, this paper makes an important contribution in understanding and addressing the complexities of data security in IoT.
Research on Online Hate Speech Detection from Popper and Kuhn's Philosophical Perspective Cahyana, Rinda; Fitriani, Leni; Setiawan, Yudi; Mahayana, Dimitri
Journal of Digital Literacy and Volunteering Vol. 2 No. 2 (2024): July
Publisher : Puslitbang Akademi Relawan TIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57119/litdig.v2i2.96

Abstract

The negative impact of spreading hate speech on social media has prompted various parties to intervene. Computer science researchers have conducted experiments to find solutions for automated intervention by applying artificial intelligence, such as machine learning and deep learning. The fulfillment of the theory of truth makes the machine learning paradigm considered by scientists to solve problems. However, the increasing size of social media data has shifted its paradigm to deep learning. Deep learning becomes a new normal science after completing the task of classifying hate speech well on a large amount of data. However, any approach will be an anomaly when it cannot complete the task. The accessibility of research resources makes it easier for researchers to determine the nature of their experiments, whether scientific or pseudo-science.
Kajian Saintifik Fenomena Adiksi Gadget dan Media Sosial di Indonesia Nursikuwagus, Agus; Hikmawati, Erna; Wisesty, Untari Novia; Munggana, Wira; Mahayana, Dimitri
Jurnal Teknologi dan Informasi (JATI) Vol 10 No 1 (2020): Jurnal Teknologi dan Informasi (JATI)
Publisher : Program Studi Sistem Informasi, Fakultas Teknik dan Ilmu Komputer, Universitas Komputer Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (734.889 KB) | DOI: 10.34010/jati.v10i1.2589

Abstract

The use of Gadgets and Social Media at this time can not be separated from everyday life. This can lead to gadget and social media addiction. This study aims to answer whether the phenomenon of gadget addiction and social media is a scientific reality or not in Indonesia. Data was collected by a survei of 1601 respondents. Before the questionnaire was distributed, pearson product moment validity and reliability tests were performed with Cronbach’s alpha and the results showed that all questions on the questionnaire were valid and reliable. Based on the survei results, 42.45% of respondents experienced mild addiction, 10.82% of respondents experienced moderate level of addiction, and 0.38% of respondents experienced a very strong addiction to gadget. While the results for social media addiction, 37.50% of respondents experienced mild addiction, 7.85% of respondents experienced moderate level of addiction, and 0.38% of respondents experienced a very strong addiction to social media. In terms of the philosophy of science, Gadgets and Social Media Addiction is said to be science and not pseudo science because it has fulfilled the characteristics of science that is logical, empirical, and falsifiable. So it needs special attention from the community on the existence of gadget and media sosial addiction, so that this addiction can be anticipated and the symptoms can be minimized.
Research on Online Hate Speech Detection from Popper and Kuhn's Philosophical Perspective Cahyana, Rinda; Fitriani, Leni; Setiawan, Yudi; Mahayana, Dimitri
Journal of Digital Literacy and Volunteering Vol. 2 No. 2 (2024): July
Publisher : Puslitbang Akademi Relawan TIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57119/litdig.v2i2.96

Abstract

The negative impact of spreading hate speech on social media has prompted various parties to intervene. Computer science researchers have conducted experiments to find solutions for automated intervention by applying artificial intelligence, such as machine learning and deep learning. The fulfillment of the theory of truth makes the machine learning paradigm considered by scientists to solve problems. However, the increasing size of social media data has shifted its paradigm to deep learning. Deep learning becomes a new normal science after completing the task of classifying hate speech well on a large amount of data. However, any approach will be an anomaly when it cannot complete the task. The accessibility of research resources makes it easier for researchers to determine the nature of their experiments, whether scientific or pseudo-science.
Co-Authors Abbas, Muhammad Fadhl Abdurrasyid, Abdurrasyid Ade Chandra Aditya Pradana, Aditya Agung Wahyu Setiawan Agus Nursikuwagus Akhmadi Surawijaya Amalia, Hayati Amalia, Hayati Ambarwari, Agus Anisa Herdiani Arief Ichwan Armein Z.R. Langi Arry Akhmad Arman Ayu Latifah Bryan Denov Budi Rahardjo Budi Sulistyo Carmadi Machbub Dayu Apoji Denny Hidayat Tri Nugroho Desti Madya Saputri Didik Fauzi Dakhlan Dwi Harinitha Emir Mauludi Husni Endang Darwati Erza Rismantojo, Erza Feisy Kambey, Feisy Firmansyah, Feri Hidayatullah Fitra Arifiansyah Hasbullah Nawir, Hasbullah Hasta Pratama Hikmawati, Erna Hurianti Vidyaningtyas Imelda Uli Vistalina Simanjuntak Ira Puspasari Johan, Meliana Christianti Komarudin, Agus Kridanto Surendro Kurniawan Nur Ramadhani Ledya Novamizanti Leni Fitriani, Leni M. Alifsyah Putra Nasution M. Octaviano Pratama Mohamad Idris Muhammad Fadhl 'Abbas Munggana, Wira Nasution, Muhammad Alifsyah Putra Nasy`an Taufiq Al Ghifari Nilam Fitriah Okyza Maherdy Parjuangan, Sabam Pranoto H. Rusmin Rusmin, Pranoto H. Rusmin Pranoto Hidaya Rusmin Radiant Victor Imbar Ratna Mayasari Reza Budiawan, Reza Ridha Muldina Negara Rinaldi Munir Rinaldi Munir Rinda Cahyana Rita Rismala Riza Ibnu Adam Rosmansyah, Yusep RUKMAN HERTADI Setia Juli Irzal Ismail Sulistyaningsih Sulistyaningsih Susanty, Meredita Susmini Indriani Targhib Ibrahim Tati Latifah Erawati Rajab Teguh Aryo Nugroho Toni Kusnandar Untari Novia Wisesty Wahyu Hidayat Yeni Sanovia Yoanes Bandung Yudi Setiawan Yulrio Brianorman Yusep Rosmansyah YUYUN SITI ROHMAH Zakaria, Hasballah Zidni, Hasan