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All Journal Infotech: Journal of Technology Information Journal of Informatics Management and Information Technology D'computare: Jurnal Ilmiah Teknologi Informasi dan Ilmu Komputer Jurnal Esensi Infokom: Jurnal Esensi Sistem Informasi dan Sistem Komputer Jurnal Minfo Polgan (JMP) JUNIF: Jurnal Nasional Informatika Journal of Artificial Intelligence and Digital Business Jurnal Pengabdian Masyarakat Nasional Jurnal Pengabdian Masyarakat Ekonomi dan Bisnis Digital Babakti : Journal of Community Engangement Data : Journal of Information Systems and Management Digitus : Journal of Computer Science Applications Novatio : Journal of Management Technology and Innovation Civitas: Jurnal Pengabdian Masyarakat Teknofile, Jurnal Sistem Informasi KOMPUTASI BEGAWI: Jurnal Pengabdian Kepada Masyarakat Babakti: Journal of Community Engangement
Diantoro, Karno
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Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Library & Information Science Mathematics Public Health Social Sciences Other

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Sentiment Analysis of Public Opinion on the 2024 Presidential Election in Indonesia Using Twitter Data with the K-NN Method Diantoro, Karno; Soderi, Ahmad; Rohman, Abdur; Sitorus, Anwar T.
Digitus : Journal of Computer Science Applications Vol. 1 No. 1 (2023): October 2023
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/digitus.v1i1.27

Abstract

Twitter is often used by the public as a platform to speak and express their opinions, especially in the context of the 2024 Presidential Election. Tweets related to the '2024 Presidential Election' can be used as a source of data for social media analysis to determine whether the expressed opinions tend to be positive or negative. The research process involves data collection of tweets, preprocessing, tokenization, class attribute determination, directory filling, sentiment analysis, and classification steps, including testing the value of k and testing the confusion matrix. The research and testing results show that the K-NN method successfully achieves a sentiment classification accuracy rate of 86.48%.
Analyzing the Impact of Body Shaming on Twitter: A Study Using Naive Bayes Classifier and Machine Learning Diantoro, Karno; Rinaldo; Sitorus, Anwar T.; Rohman, Abdur
Digitus : Journal of Computer Science Applications Vol. 1 No. 1 (2023): October 2023
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/digitus.v1i1.58

Abstract

Twitter is one type of social media that is still widely used today. However, it happens frequently for Twitter users to post remarks that tend to criticize other Twitter users. Twitter users routinely make nasty remarks regarding body shaming, which has detrimental impacts on the victims such as diminishing self-esteem, leading to depressive illnesses, and, more seriously, raising the chance of suicide. Body shaming is the practice of criticizing someone's physical attributes, such as being slim, overweight, or having a flat nose. This study will use the Naive Bayes Classifier approach to do sentiment analysis based on the actions of body shaming on Twitter. Based on the performance testing results of Accuracy, Precision, and Recall using Machine Learning Rapid Miner with an initial dataset of 1000 body shaming tweets and a test dataset of 329 tweets, the following results were obtained: Accuracy of 80.55%, positive Precision of 100%, negative Precision of 80.43%, positive Recall of 3.03%, and negative Recall of 100%. In the preprocessing stage, tokenization resulted in a word cloud with the top 5 words being "overweight" at 51%, "body shaming" at 20%, "thin" at 11%, "people" at 10%, and "eating" at 8%.
Development Of Android-Based Application For English Learning System Using Drill and Practice Method Rohman , Abdur; Diantoro, Karno; Rinaldo; Sitorus, Anwar T.; Juwari
Digitus : Journal of Computer Science Applications Vol. 1 No. 1 (2023): October 2023
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/digitus.v1i1.62

Abstract

English, being an international language, plays a significant part in daily life worldwide. Many nations utilize English as their primary language of communication. The lack of a novel approach to English learning—such as the use of contemporary technology—means that kindergarteners at Al-Barkah Kindergarten only learn the language through books. In light of these issues, Al-Barkah Kindergarten developed an Android-based application to teach English via the drill and practice method, hence creating a variance in teaching methods. Because this method applies a learning system in the form of visual, audio, and animation that can attract students' interest in learning language, the application design results show that the learning method is effective and that a solution, especially for Al-Barkah Kindergarten students, can easily understand the learning material. English.
Optimizing Invoice Management: A Case Study of PT. Madina Mitra Teknik's Transition to a Laravel-Based Information System Diantoro, Karno
Digitus : Journal of Computer Science Applications Vol. 1 No. 1 (2023): October 2023
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/digitus.v1i1.63

Abstract

One business that engages in trading goods and services is PT. Madina Mitra Teknik. During the observations, Microsoft Excel was still used for manual invoice recording, even though the collection division had access to computer tools that may facilitate collection efforts. The goal of this research is to design an invoice-recording information system that can help manage existing invoices at PT. Madina Mitra Teknik in the collection section with development using the Laravel framework. Currently, no information system helps record invoices and their progress as they are issued and incoming payments, so the process of making reports takes time. The research process includes analysis, design, coding, and testing. The waterfall development method is employed. The output of this study is an invoice recording system, and the results of the black box testing show that every function has operated as intended. To ensure that the invoice recording information system is appropriate for use and implemented to support the invoice management process in the PT collection section, Madina Mitra Teknik conducted a portability test using three different browsers and found that all aspects of the system could be accessed without any issues.
Transformation of the Role of Android Smartphones: From Communication Devices to Remote Control for IoT Based Home Automation Systems Sumaryanto, Agus; Diantoro, Karno; Rinaldo; Juwari
Digitus : Journal of Computer Science Applications Vol. 1 No. 1 (2023): October 2023
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/digitus.v1i1.84

Abstract

Smartphone technology, especially Android smartphones, has advanced quickly in terms of their function as smart and communication devices. Their capacity to function as remote control tools, enabling users to view and manage electronic gadgets via an Internet connection, is one notable advancement. Through the use of the Internet connection as a bridge between devices, smartphone-based remote control indirectly makes it easier to monitor and manage electrical gadgets. Uncontrolled electricity use and instances of high power consumption that occur when people forget to turn off equipment provide a challenge. The author suggests using the prototyping method, in which a prototype is created at the beginning stage for later development, to overcome this problem. Through
Internet of Things-Based Home Trash Capacity Tracking System with Instant Notifications Munthe, Era Sari; Diantoro, Karno; Herwanto, Agus
Digitus : Journal of Computer Science Applications Vol. 2 No. 3 (2024): July 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/digitus.v2i3.257

Abstract

Garbage created from routine household activities is collected and stored in household garbage cans. Location This garbage makes rubbish collection easier to live in and helps to maintain a clean household environment. Household garbage cans are often designed to fit specific demands and feature a tight-fitting cover to keep sickness and animals out and to minimize unwanted odors. The layout To stop the spread of bacteria or fungus, something must be easy to clean. Lack of technology to monitor garbage bin fullness and inability to precisely monitor fill capacity, which can lead to trash overflow, offensive odors, and animal nuisances. Thus, volume sensorization techniques and Internet of Things (IoT) technologies are the answers to this challenge. To enable real-time waste capacity volume monitoring and to give users level information about trash charging through the Blynk platform, the system will deliver When the garbage can is full, an alarm sensor-equipped warning will ring. The Arduino IDE and the C programming language are the software used. The findings of the study demonstrate that the garbage can capacity monitoring system The information about waste filling levels that are provided in real-time by this IoT-based system is effective. By using this approach, homeowners can easily keep a clean and healthy home environment by knowing when it's time to remove the trash.
The Impact of Digital Transformation on Talent Recruitment Strategies in Modern Human Resource Management Ginting, Sunardi; Diantoro, Karno; Cindrakasih, RR Roosita; Mubarak, Roy; Suseno
Jurnal Minfo Polgan Vol. 12 No. 2 (2023): Artikel Penelitian 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v12i2.13410

Abstract

Along with technological advances, digital transformation has become a major phenomenon in various sectors, including in the business world and human resource management (HRM). HRM is undergoing a major revolution in addressing digital transformation. This research aims to examine the impact of digital transformation on talent recruitment strategies in modern human resource management. The method includes a thorough examination of literature using qualitative analysis, with the aim of gaining a comprehensive comprehension of the topic spanning from 2017 to 2023. The study results show that digital transformation has significantly changed the paradigm of talent recruitment in human resource management (HRM). From the use of digital platforms to the application of artificial intelligence (AI) and data analytics, companies must constantly adapt to stay competitive and attract the best talent. More efficient recruitment processes, empowerment of job seekers, and the possibility of work flexibility are positive outcomes of this transformation. However, ethical challenges such as bias in algorithms and the protection of personal data also need serious attention.
Integrasi Deep Packet Inspection dengan Intrusion Detection System (IDS) untuk Identifikasi Serangan DDoS dalam Jaringan Skala Besar Syujak, Ahmad Rois; Diantoro, Karno; Yuni T, Veronika; Soderi, Ahmad; Sucipto, Purwo Agus
Jurnal Minfo Polgan Vol. 13 No. 2 (2024): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v13i2.14324

Abstract

Perkembangan teknologi jaringan yang pesat menghadirkan tantangan baru dalam keamanan siber, terutama dalam mendeteksi dan mencegah serangan Distributed Denial of Service (DDoS) pada jaringan skala besar. Penelitian ini bertujuan untuk mengintegrasikan teknologi Deep Packet Inspection (DPI) dengan Intrusion Detection System (IDS) sebagai solusi inovatif dalam identifikasi dini serangan DDoS. Metode penelitian melibatkan pengembangan arsitektur sistem yang menggabungkan kemampuan analisis mendalam paket data melalui DPI dengan algoritme deteksi anomali pada IDS. Pengujian dilakukan pada lingkungan simulasi jaringan menggunakan dataset serangan DDoS yang umum digunakan, seperti CICDDoS2019. Hasil penelitian menunjukkan bahwa integrasi DPI dan IDS mampu meningkatkan tingkat deteksi serangan DDoS hingga 94,7% dengan tingkat false positive yang rendah. Sistem ini juga mampu memproses lalu lintas jaringan dengan throughput tinggi, menjadikannya efektif untuk implementasi pada jaringan skala besar. Penelitian ini memberikan kontribusi signifikan terhadap pengembangan sistem keamanan jaringan yang lebih adaptif dan efisien, khususnya dalam menghadapi ancaman serangan DDoS yang semakin kompleks. Rekomendasi untuk penelitian selanjutnya meliputi pengembangan sistem berbasis kecerdasan buatan untuk meningkatkan kemampuan prediktif dalam mendeteksi pola serangan baru.
PENGEMBANGAN STRATEGI DIGITAL MARKETING UMKM DI ERA DIGITAL Diantoro, Karno; Soderi, Ahmad; Juwari, Juwari
Jurnal Pengabdian Masyarakat Nasional Vol 4, No 2 (2024)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/pemanas.v4i2.31141

Abstract

UMKM (Usaha Mikro, Kecil, dan Menengah) memainkan peran penting dalam perekonomian Indonesia. Namun, tantangan digitalisasi menjadi penghalang bagi sebagian besar UMKM untuk bersaing di era digital. Program pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kapasitas UMKM di Komunitas Iklim Sungai Cikeas melalui pengembangan strategi digital marketing. Kegiatan ini melibatkan pelatihan, pendampingan, dan pengembangan media promosi berbasis digital untuk meningkatkan pemasaran produk UMKM lokal. Hasil kegiatan menunjukkan adanya peningkatan pemahaman pelaku UMKM terhadap digital marketing serta penerapan strategi pemasaran digital yang efektif.
RANCANG BANGUN SISTEM DETEKSI HUJAN OTOMATIS MENGGUNAKAN ARDUINO UNO Riadi, Ahmad Sharul; Salam, Ahmad Al-Baihaqi; Diantoro, Karno; Sitorus, Anwar T; Juwari, Juwari; Samroh, Samroh
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.v11i2.555

Abstract

This research focuses on the design and construction of an automatic rain detection device that utilizes an Arduino Uno R3 as its primary microcontroller. The research was motivated by the need for a system capable of detecting rainfall in real time and providing automatic responses, such as driving a servo motor to close the clothesline roof. This device is designed to address weather uncertainty and help people protect their belongings from rain without the need for manual monitoring. By using a rain sensor, the system automatically detects the presence of water droplets and sends a signal to the Arduino to activate the closing mechanism.This research aims to address delays and uncertainties in rain detection, which can damage goods and clothing. Although existing systems use raindrop sensors, their slow response often hinders users from acting quickly. To address this issue, fuzzy logic methods are used to improve accuracy and speed. This system is implemented using Internet of Things (IoT) technology, with the main components being an Arduino Uno R3, ESP32, a raindrop sensor, and a stepper motor. Testing was conducted using Black Box Testing to ensure proper functionality. The Blynk application on a smartphone is used as an interface to control and monitor the system in real time.The results of my research show that the system can detect rain with high accuracy and provide a quick response by closing the canopy. With this system, it is hoped that the application of IoT technology in modern households can increase efficiency in managing unpredictable rainfall and provide better protection.
Co-Authors Abdul Rozak Abdur Rohman Abdurrohman Ahmad Soderi Alfaidz, Daffa Zein Aminuyati Arainy, Corizon Sinar Boy Firmansyah Budiono, Adji Burhani, Irfan Chandra, Ilham Aditya Daniel Happy Putra Era Sari Munthe Ginting, Sunardi Gumilar, Galang Handi Gunawan Herwanto, Agus Hoer, Muhammad Abd Iqbal Iqbal Istianingsih, Nanik Jamaludin, Ijmal Juwari Kharunnisa, Kharunnisa Marthalia, Lia Maulidiyah, Fitria Putra, Aditya Wahyu Rahman, M. Gifariz Fradhana Riadi, Ahmad Sharul Rinaldo Riyadillah, Ridho Rizaldy, Mohammad Ricky Rohman , Abdur RR Roosita Cindrakasih Rusmawati, Retno Danu Sakti, Essy Malays Sari Salam, Ahmad Al-Baihaqi Samroh Samroh, Samroh Saromah Saromah, Saromah Sinar, Corizon Siti Aminah Sitorus, Anwar T Sitorus, Anwar T. Soderi, Ahmad Sucipto, Purwo Agus Sumaryanto, Agus SUNARNO Suseno Syamsiar, Syamsiar Syujak, Ahmad Rois Taufiqurrahman Taufiqurrahman Tobing, Yahezkiel Geovano Wulan, Anjelis Ratu Yamin, Muhammad Ikrar Yuni T, Veronika