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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
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 Social Sciences Other

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Journal : Digitus : Journal of Computer Science Applications

 1 
Ethical and Technical Frameworks for Deploying Honeypots in Public Wireless Networks Diantoro, Karno
Digitus : Journal of Computer Science Applications Vol. 2 No. 1 (2024): January 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/digitus.v2i1.750

Abstract

Public Wireless Local Area Networks (WLANs) in government and public service institutions are highly vulnerable to cyberattacks, yet conventional firewalls and intrusion detection systems (IDS) often fail to provide proactive defense. This study aims to evaluate the effectiveness of honeypot-based security within the WLAN infrastructure of Dinas Perpustakaan dan Kearsipan Kota Pekanbaru. Using an applied experimental design, honeypots were integrated with Snort IDS and visualized through Honeymap to capture attacker behavior, detect anomalies, and benchmark detection performance. The results show that honeypots reduced detection latency, lowered false positives, and improved accuracy in identifying port scanning and brute force attacks compared to standard firewalls. Additionally, Honeymap enabled geographic analysis of attack origins, enhancing situational awareness. The findings highlight not only the technical benefits but also ethical challenges, particularly regarding user privacy and informed consent. This research recommends that public institutions adopt clear governance frameworks, ensure regular staff training, and maintain continuous system updates to sustain honeypot effectiveness. Strategically deployed, honeypots can strengthen cybersecurity readiness and inform policy development in public network environments.
Impact Marketing Techniques: Instagram, WhatsApp, and Consumer Predisposition Acquire Prepared Foods Diantoro, Karno; Sinar, Corizon; Rinaldo; Rohman, Abdur
Digitus : Journal of Computer Science Applications Vol. 2 No. 2 (2024): April 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/digitus.v2i2.258

Abstract

With the growth of social media and messaging platforms, businesses are investigating new marketing methods to reach and impact consumer behavior. This study investigates the effect of marketing strategies on Instagram and WhatsApp on consumers' inclination to buy prepared, home-cooked meals. It looks into how companies use these platforms' interactive and visual elements to market their products and influence customer choices. The research examines consumer surveys and marketing initiatives data to identify the primary drivers of engagement and buy intentions. It investigates how direct messaging, targeted advertising, and influencer marketing affect customer attitudes and decision-making. The study also explores the ethical issues of these marketing strategies and how they may affect consumers' privacy and autonomy.  This research intends to increase awareness about responsible practices that respect consumer interests while guiding firms in optimizing their methods by offering insights into the efficacy of social media and messaging app marketing strategies. The results add to the growing conversation about how digital marketing impacts food consumption habits and how consumer-business relationships are changing.
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.
Co-Authors Abdul Rozak Abdur Rohman Abdurrohman Ahmad Soderi Alfaidz, Daffa Zein Aminuyati Arainy, Corizon Sinar Boy Firmansyah 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 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