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All Journal Sainteks JURNAL MEDIA INFORMATIKA BUDIDARMA LLT Journal: A Journal on Language and Language Teaching Jurnal Ilmiah Matrik Jurnal Sisfokom (Sistem Informasi dan Komputer) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) TIN: TERAPAN INFORMATIKA NUSANTARA
Febriawan, Dimas
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Implementation of Data Mining to Predict Student Study Period with Decision Tree Algorithm (C4.5) Putri, Kirana Alyssa; Febriawan, Dimas; Hasan, Firman Noor
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 13, No 1 (2024): MARET
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v13i1.1943

Abstract

Graduating on time is what every student wants to accomplish in college. Students of Prof. Dr. Hamka Muhammadiyah University are one of those who have this dream. Based on 2020 graduates data from the Tracer Study, 60% said the university had a high enough impact  on improving competence.  This data indicates that university needs to evaluate improvement of academic quality. Often, students have difficulty finding information about important factors that support achieving timely graduation. A prediction analysis is needed to provide information about the student's graduation study period. For this analysis, data mining is implemented using the classification function of the decision tree (C4.5) algorithm with RapidMiner tools. The methodology for implementing data mining follows the stages of Knowledge Discovery In Database (KDD), beginning with data collection, preprocessing, transformation, data mining, and evaluation. The research findings consist of visualization and decision tree rules that reveal GPA as the most influential factor in determining a student's study period.There is other information, namely, students graduated on time (less than equal to 4 years) amounted to 170 or 54.5% and students did not graduate on time (more than 4 years) amounted to 142 or 45.6%. Testing the performance of decision tree (C4.5) utilizing confusion matrix through RapidMiner tools, resulted in accuracy reaching 83.87%, with precision of 87.50% and recall of 91.18%. Provides evidence that the decision tree algorithm (C4.5) has optimal performance to provide valuable information about predicting student graduation in order to increase student enrollment with the right study period.
Sentiment Analysis of Society Towards the Child-free Phenomenon (Life Without Children) on Twitter Using Naïve Bayes Algorithm Nurhaliza, Siti; Febriawan, Dimas; Hasan, Firman Noor
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 13, No 1 (2024): MARET
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v13i1.1944

Abstract

The difference in societal perspective regarding personal well-being and understanding life choices is genuinely diverse. Lately, there is a prevalent thought where individuals believe that personal well-being can be achieved by choosing to live without children. Most of them prefer to prioritize their careers, education, or other activities that they believe can bring greater happiness and well-being to their lives. This topic has become a frequently discussed subject in almost every region of Indonesia, especially in urban areas. Not only facing negative stigma, the choice to live a life without children in Indonesia also carries positive connotations. Views on child-free in Indonesia are highly diverse, considering the many differences in social environments and each individual’s personal experiences. In this research, the Naïve Bayes algorithm is used as a sentiment classifier in the form of textual data collected through Twitter using the Rapid Miner. The data collection period spanned from May 3rd to May 10th, 2023. The research aims to analyze and present data regarding public sentiment towards the child-free phenomenon in Indonesia. The results of this research reveal the presence of 320 positive sentiments and 180 negative sentiments, with the accuracy value of the Naïve Bayes algorithm in conducting sentiment analysis on the child-free phenomenon reached 95.00%.
Implementasi Business Intelligence untuk Visualisasi Laju Indeks Pembangunan Manusia Kota Cirebon Menggunakan Google Collab Rozak, Bahrul; Febriawan, Dimas; Hasan, Firman Noor
Sainteks Vol 21, No 1 (2024): April
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/sainteks.v21i1.21356

Abstract

Indeks Pembangunan Manusia (IPM) merupakan ukuran penting untuk mengevaluasi kesejahteraan dan kemajuan suatu wilayah dalam aspek kesehatan, pendidikan, dan ekonomi. Kota Cirebon adalah salah satu wilayah di Indonesia yang memiliki IPM yang terus mengalami perkembangan. Penelitian ini bertujuan untuk menganalisis kemajuan dalam aspek kesehatan, pendidikan, dan ekonomi di Kota Cirebon selama periode tahun 2010 hingga 2020 serta dampak pandemi COVID-19 terhadap IPM. Metodologi yang digunakan melibatkan pengambilan dataset dari data.kotacirebon.go.id, yang mencakup angka harapan hidup, angka harapan lama sekolah, angka rata-rata lama sekolah, dan pengeluaran per kapita per tahun. Analisis dilakukan menggunakan Google Collab untuk visualisasi data yang fleksibel. Hasil analisis menunjukkan kemajuan dalam aspek kesehatan dan pendidikan di Kota Cirebon selama periode tahun 2010 hingga 2020, dengan angka harapan hidup, angka harapan lama sekolah, dan angka rata-rata lama sekolah mengalami peningkatan. Namun, pengeluaran per kapita per tahun mengalami penurunan, yang mungkin terkait dengan dampak pandemi COVID-19. Trend laju IPM Kota Cirebon mengalami peningkatan antara tahun 2010-2019 namun mengalami penurunan pada tahun 2020, hal ini salah satunya terkait dengan dampak pandemi COVID-19. Penelitian ini diharapkan dapat memberikan kontribusi dalam pengembangan visualisasi data untuk memahami perkembangan IPM kota Cirebon dan meningkatkan pemahaman terhadap pentingnya IPM dalam mengukur kemajuan suatu wilayah.
Analisis Sentimen Terhadap Penggunaan Chatgpt Berdasarka Twitter Menggunakan Algoritma Naïve Bayes Transiska, Dwi; Febriawan, Dimas; Hasan, Firman Noor
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 2 (2024): April 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i2.7540

Abstract

Chatbots can assist by fostering collaboration between users and companies or organizations. In today's world, artificial intelligence through chatbots has become one of the mainstays in handling various problems. One of the well-known types of chatbots is ChatGPT, which utilizes NLP (Natural Language Processing) technology to understand and respond to user queries and requests. ChatGPT, as a device that is very easy to use for all circles, has a fairly simple interface but does not cause boredom, and the speed in responding to commands given, this is an added value of ChatGPT. Despite the myriad of conveniences offered, ChatGPT also raises concerns on the negative side. The negative side is that there are many concerns that arise, starting from the rampant spread of hoaxes and misunderstandings on social media. The advantages and disadvantages that have been explained above, researchers are encouraged to find out the truth from the public's response regarding ChatGPT more deeply so that this sentiment analysis research is made. Moreover, research related to sentiment analysis can be said to be quite an answer to the confusion of public responses outside related to ChatGPT. This research also starts from the process of Data retrieval on Twitter social media using Rapidminer, in this process the researcher uses the Twitter API token on the Rapidminer application so that it can be obtained. The data that has been obtained is then cleaned through the preprocessing process using the features available in Rapidminer, the result of this process is that the data becomes clean. After being cleaned through preprocessing, it is then labeled as positive or negative which will later be classified by the Naïve Bayes algorithm. This classification aims to divide between positive sentiment and negative sentiment. After performing classification, the data is then evaluated using a confusion matrix and the results are obtained with an accuracy value of 96.55%, a precision value of 89.19%, and a recall value of 95.18%.
THE USE OF TECHNOLOGY IN ENGLISH AS A FOREIGN LANGUAGE LEARNING OUTSIDE THE CLASSROOM: AN INSIGHT INTO LEARNER AUTONOMY Warni, Silih; Aziz, Tian Abdul; Febriawan, Dimas
LLT Journal: A Journal on Language and Language Teaching Vol 21, No 2 (2018): October 2018
Publisher : English Education Study Programme of Sanata Dharma University, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24071/llt.v21i2.1259

Abstract

This research was conducted to examine Indonesian students' experiences in using technology in learning English outside the classroom with regards to learner autonomy as an important capacity for students learning success. The subjects of the study were students of a private Senior High School in South Tangerang. As for the methodology, this research applied quantitative and qualitative design. Quantitative elements include questionnaires as the data collecting method, while qualitative elements used semi structured interviews. In this interview, five students were chosen purposively based on students responses on the questionnaires. The findings of this study indicate that the use of technology to learn English outside the classroom has encouraged the development of learner autonomy which includes aspects of learning motivation, metacognitive awareness, self-confidence and social skills. This research is expected to help English teachers improve their students' English proficiency with the concern on the development of learner autonomy by using various information and communication technology.
Analisis Sentimen Terkait Hilirisasi Industri Pada Opini Masyarakat X dengan Menggunakan Naive Bayes Pratama, Aditya Budi; Febriawan, Dimas
Journal of Information System Research (JOSH) Vol 6 No 2 (2025): Januari 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i2.6795

Abstract

This research examines public sentiment toward Indonesia's industrial downstreaming policy using data sourced from X. The study employs the Naive Bayes algorithm to categorize public opinions into three sentiment types: positive, negative, and neutral. Data collection was conducted via a crawling process utilizing the X API and tools like Tweepy, followed by preprocessing steps such as data cleansing, tokenization, case normalization, stopword removal, and either stemming or lemmatization. Subsequently, the data was manually annotated using a lexicon-based sentiment method to ensure accurate classification. The findings reveal that the Naive Bayes algorithm achieved an accuracy rate of 81.75% in sentiment classification, with the highest performance observed in identifying positive sentiments. This research offers valuable insights into public perspectives on the industrial downstreaming policy and suggests recommendations for policymakers to develop strategies that better resonate with public sentiment. Leveraging X as a data source allows for real-time analysis that adapts to shifts in public opinion.
Rancang Bangun Prototipe Sistem Keamanan Gerbang Rumah Otomatis Menggunakan Nodemcu ESP8266 Dengan Kendali Telegram Nishfahuddin, Ananda; Febriawan, Dimas
Journal of Information System Research (JOSH) Vol 6 No 1 (2024): Oktober 2024
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i1.6025

Abstract

In an era of advancing technology, the need for smart and efficient home security systems is increasing. The problem addressed in this research is the lack of flexibility and effectiveness in conventional security systems, which still rely on physical involvement of homeowners and have limitations in providing diverse authentication methods. This research aims to design and develop a prototype of an automatic gate security system based on NodeMCU ESP8266, controlled via the Telegram application, as a solution to this problem. The system utilizes the AS608 fingerprint sensor for biometric authentication and a 4x4 keypad as an alternative input method. Users can remotely control the gate through Telegram, which also functions as a monitoring medium. The method used in this study involves the development of IoT-based hardware and software, along with the integration of multiple layers of authentication (biometric and PIN) to enhance security. The results of the study show that the system improves security by providing several reliable authentication methods. The system successfully integrates automatic gate control through text messages with fast response times. Evaluation indicates that the system functions as intended, with an average fingerprint sensor reading time of 102 seconds and a gate response time of 912 seconds. This system offers an effective solution for enhancing home security automatically and remotely.
Potensi Penggunaan Blockchain untuk Meningkatkan Keamanan Jaringan: Telaah Literatur dan Implikasi Masa Depan Ikhsan, Syaif Nurul; Febriawan, Dimas
TIN: Terapan Informatika Nusantara Vol 6 No 2 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i2.7838

Abstract

The digital era has given rise to a high dependency on network infrastructure and data, which simultaneously triggers increasingly complex information security challenges. Cyber attacks such as DDoS, data hacking and information manipulation are real threats. Meanwhile, conventional security solutions are considered not yet fully capable of handling increasingly sophisticated attacks. This research is here to fill the literature gap by exploring the potential of blockchain technology in strengthening network security systems through a systematic literature study approach to 10 recent scientific articles. This research aims to analyze the contribution of blockchain to the main dimensions of security: authentication, integrity, availability and privacy. The methodology used is a qualitative approach based on literature study, with article selection using the criteria of year of publication, theme relevance and academic validity. The results show that blockchain offers significant solutions in terms of immutable transaction recording, decentralized authentication systems, and smart contract-based privacy protection models. These findings reinforce the urgency of integrating blockchain into today's network security architecture, while paving the way for the development of hybrid systems that combine blockchain with AI and IDS.
Evaluation of Computer Lab at XYZ Institution using BAI & DSS Domains of COBIT 2019 Febriawan, Dimas; Kamayani, Mia; Imanda, Rahmi
Jurnal Ilmiah Matrik Vol. 27 No. 2 (2025): Jurnal Ilmiah Matrik
Publisher : Direktorat Riset dan Pengabdian Pada Masyarakat (DRPM) Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33557/wsbeqv24

Abstract

This research aims to measure the IT governance implementation in the computer laboratory at XYZ Institution using COBIT 2019 framework. Based on the scope and the problems that were identified, BAI and DSS aspects are the domains chosen to measure the implementation of the IT governance. The methods for this research are focus group discussion and field assessment. The BAI and DSS domains consist of 16 objectives, which are then divided into 104 practices and then divided further into 535 activities. These 535 activities are the processes that we have to determine for each capability level. After determining the capability levels for each process, we summarized the values and then evaluated the average values for each objective. These average values are the values that we used to determine the capability levels for each objective. We presented the result of our self assessment using a radar diagram. XYZ Institution is still in the starting phase of having good IT governance. This condition is reflected by the achievement of each objective’s capability levels ranging from 1 to 2. In addition to this condition, there is only one objective that meets the Institution’s capability level target of 3.
Co-Authors Firman Noor Hasan Ikhsan, Syaif Nurul Kamayani, Mia Nishfahuddin, Ananda Pratama, Aditya Budi Putri, Kirana Alyssa Rahmi Imanda Rozak, Bahrul Silih Warni Siti Nurhaliza Tian Abdul Aziz Transiska, Dwi