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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) MULTINETICS JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Sistem Komputer dan Informatika (JSON) TIN: TERAPAN INFORMATIKA NUSANTARA Infotech: Journal of Technology Information Journal of Informatics, Electrical and Electronics Engineering JURNAL TEKNIK INFORMATIKA DAN KOMPUTER
Febriawan, Dimas
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Sistem Informasi Spesialite Obat (ISO) Indonesia Digital Menggunakan Algoritma Boyer Moore Berbasis Mobile Application sinduningrum, Estu; Prayogi, Jaka; Febriawan, Dimas
MULTINETICS Vol. 4 No. 2 (2018): MULTINETICS Nopember (2018)
Publisher : POLITEKNIK NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/multinetics.v4i2.1195

Abstract

Informasi Spesialite Obat (ISO) Indonesia merupakan alat bantu yang digunakan untuk mencari informasi tentang Indikasi, kontra Indikasi, dosis pemakaian dan efek samping obat secara lengkap. Penggunaan Informasi Spesialite Obat (ISO) Indonesia sangat diperlukan namun tidak mempersulit pengguna saat menggunakannya dan dapat mempermudah pemakai tanpa harus membawa Informasi berbentuk buku yang memiliki ketebalan dan bobot yang cukup berat untuk ukuran sebuah buku. Untuk itu dibutuhkan sebuah aplikasi yang dapat mengakomodir kebutuhan setiap pemakai sebagai pengganti buku, yang mudah dibawa serta dapat digunakan kapan dan dimanapun secara efektif. Aplikasi tersebut berupa Sistem Informasi Spesialite Obat (ISO) Indonesia yang di terbitkan oleh Isfi Penerbitan berbasis Mobile Application yang dapat dipasang pada perangkat Smartphone. Selain sebagai media komunikasi dalam bentuk panggilan suara atau pesan singkat, dalam perkembangannya merupakan media yang mampu dilengkapi dengan berbagai program aplikasi tambahan untuk kemudahan pengguna. Dalam skripsi ini akan dibahas tentang cara membuat Sistem Informasi Spesialite Obat (ISO) Indonesia berbasis Mobile Application dengan algoritma Boyer moore. Aplikasi dibangun dengan bahasa pemrograman java, dan Eclipse sebagai editor untuk mengedit kode program. Pengujian terhadap aplikasi ini dan juga implementasi pada Informasi Spesialite Obat (ISO) Digital Apotek Amanah berhasil dilakukan karna Aplikasi pada Smartphone berjalan dengan baik.
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%.
Analisis Sentimen Perbedaan Pendapat Netizen Indonesia Terhadap Penutupan Tiktok Shop Menggunakan Algoritma Naïve Bayes Kurnianto, Eko; Febriawan, Dimas
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 5 No. 2 (2023): Desember 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i2.7170

Abstract

This research uses the Naïve Bayes algorithm to analyze the sentiments of Indonesian netizens regarding the closure of the TikTok Shop. This research focuses on analyzing differences of opinion spread on social media platforms. Data obtained from social media such as Youtube, Tiktok, and Threads. There is data that will later be used in this research with a total of 1366 data. Then, there were 987 positive data and 379 negative data. After conducting research, results will be obtained with an accuracy of 86.97% in the first experiment which does not use the Split Data operator, and an accuracy of 89.23% in the second experiment which uses the Split Data operator. Then the results of this analysis reveal significant variations in sentiment among Indonesian netizens regarding the closure of the TikTok Shop. Some groups of netizens may express disappointment or disapproval while others may show support for the decision. The analysis also identified key factors influencing dissent, such as user experience, expectations of the platform and economic impact. Due to this, this research contributes to the field of sentiment analysis and natural language processing which applies splitting procedures so that netizen comment data on the platform can be classified.
PERANCANGAN QOS PADA MIKROTIK DENGAN METODE HTB UNTUK PENGATURAN BANDWITH DI LPP RRI Fadhilah, Helmi; Febriawan, Dimas
Infotech: Journal of Technology Information Vol 11, No 2 (2025): NOVEMBER
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v11i2.572

Abstract

The increasing demand for internet access in the workplace requires efficient bandwidth management to maintain network quality. This study aims to improve the Quality of Service (QoS) at the LPP RRI News Center by implementing the Hierarchical Token Bucket (HTB) method on a MikroTik Router. The research applies the Network Development Life Cycle (NDLC) approach, consisting of analysis, design, implementation, simulation, and monitoring stages. The results show that HTB implementation significantly enhances network performance, increasing throughput from 870–1120 Kbps to 1,489–2,615 Kbps, while reducing delay and jitter to below 5 ms, and lowering packet loss from 3–7% to 0%. The HTB method also ensures fair bandwidth allocation among divisions, maintains connection stability during peak hours, and supports smoother broadcasting and news distribution processes. Therefore, HTB proves to be an effective method for optimizing bandwidth management and is recommended for broader implementation across LPP RRI’s network infrastructure.
Perancangan dan Implementasi Sistem Smart Regulator Berbasis Internet of Things untuk Deteksi Kebocoran Gas LPG Laksono, Muhammad Yurizard; Febriawan, Dimas
Journal of Informatics, Electrical and Electronics Engineering Vol. 5 No. 2 (2025): December 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jieee.v5i2.2890

Abstract

This research focuses on the design, implementation, and evaluation of an Internet of Things (IoT)-based Smart Regulator system developed to detect LPG gas leakage and to perform automatic, real-time safety actions through integration with a smartphone. The proposed system employs the NodeMCU Wemos ESP8266 as the main control unit, which is responsible for processing sensor data and coordinating all system components. LPG gas leakage detection is carried out using an MQ-5 gas sensor, capable of measuring LPG concentration in parts per million (PPM). As part of the safety response mechanism, the system is equipped with several output devices, including a buzzer and LED indicators as warning signals, an exhaust fan to reduce gas accumulation within the enclosed space, as well as a motor servo and a solenoid valve that function to automatically control the gas flow. Based on experimental testing, the system has demonstrated stable and consistent performance in detecting LPG gas leakage. When the detected gas concentration is below 300 ppm, the system remains in a normal operating state without activating any warning devices. When the gas concentration ranges between 300 and 400 ppm, the buzzer and visual indicators are automatically activated as an early warning mechanism. Furthermore, when the gas concentration reaches between 500 and 1000 ppm, the exhaust fan and the regulator valve control mechanism are automatically engaged to reduce gas accumulation and minimize the risk of fire hazards.
Co-Authors Bahalwan, Zen Aufa Fadhilah, Helmi Firman Noor Hasan Ikhsan, Syaif Nurul Kamayani, Mia Kurnianto, Eko Laksono, Muhammad Yurizard Nishfahuddin, Ananda Pratama, Aditya Budi Prayogi, Jaka Putri, Kirana Alyssa Rahmi Imanda Rozak, Bahrul Silih Warni Sinduningrum, Estu Siti Nurhaliza Tian Abdul Aziz Transiska, Dwi