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All Journal Journal of Informatics Management and Information Technology D'computare: Jurnal Ilmiah Teknologi Informasi dan Ilmu Komputer Jurnal Sistem Informasi Bisnis (JUNSIBI) JUNIF: Jurnal Nasional Informatika Journal of Artificial Intelligence and Digital Business Jurnal Pengabdian Masyarakat Nasional 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 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 Social Sciences Other

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Digital–Green Synergies in Practice: How Emerging and Developed Markets Integrate Technology for Sustainable Value Creation Sunarno; Diantoro, Karno; Marthalia, Lia
Novatio : Journal of Management Technology and Innovation Vol. 2 No. 3 (2024): July 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/novatio.v2i3.852

Abstract

This study examines how digital transformation and green technology adoption jointly influence corporate sustainability. Using frameworks such as the Resource-Based View and dynamic capabilities theory, the research synthesizes empirical evidence to evaluate ESG outcomes, emissions reductions, and operational efficiency. Findings show that digital tools like AI, IoT, and big data significantly enhance the effectiveness of green practices, leading to improved ESG scores, lower emissions, and stronger supply chain resilience. The study concludes that aligning digital and green strategies enables firms to meet stakeholder demands and global sustainability goals while maintaining competitiveness.
Improving Organizational Resilience to Phishing: A Cluster Randomized Field Experiment with Embedded Microlearning Rusmawati, Retno Danu; Diantoro, Karno; Firmansyah, Boy
Data : Journal of Information Systems and Management Vol. 3 No. 1 (2025): January 2025
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/data.v3i1.948

Abstract

Phishing remains one of the most prevalent cybersecurity threats worldwide, with a growing focus on human error as a primary attack vector. This study investigates whether structured security awareness training featuring embedded microlearning, periodic reinforcement, and difficulty calibrated phishing simulations can reduce susceptibility to phishing and improve organizational resilience. Using a cluster randomized field experiment design, the intervention was implemented across multiple business units. Participants received an initial training module (30–60 minutes), followed by booster sessions every 3–4 months. Simulated phishing emails, rated for difficulty via the NIST Phish Scale, were distributed to measure failure, reporting, and credential submission rates. Resilience factor, defined as reporting rate divided by failure rate, was introduced as a composite behavior metric. Statistical analyses included GLMMs for repeated binary outcomes and survival models for latency behaviors. The training significantly lowered failure rates (from 11.2% to 7.5%), doubled reporting rates (14% to 28%), and increased resilience (1.2 to 3.7). Time to report metrics suggested faster user response, while stratified analysis showed greater gains among newer and non technical employees. Real world phishing incident rates declined post intervention, correlating with training engagement. These results validate the long term impact of calibrated and behavior driven awareness programs. In conclusion, this study offers a scalable, ethical, and statistically grounded approach to phishing risk mitigation. Emphasizing performance metrics such as resilience factor, it supports the integration of adaptive training strategies into broader cybersecurity frameworks.
Perancangan Sistem Aplikasi Ujian Online Berbasis Web pada LPIA Jatimurni Menggunakan Laravel Iqbal, Iqbal; Soderi, Ahmad; Juwari, Juwari; Diantoro, Karno
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 3 (2025): Agustus - October
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i3.2750

Abstract

Penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem ujian online berbasis web di LPIA Jatimurni guna meningkatkan efisiensi dan efektivitas proses evaluasi pembelajaran. Selama ini, sistem ujian masih dilakukan secara manual sehingga menimbulkan kendala seperti keterlambatan pengolahan nilai, pemborosan kertas, serta potensi kesalahan administrasi. Untuk mengatasi permasalahan tersebut, penelitian ini menggunakan metode pengembangan perangkat lunak Rapid Application Development (RAD) dengan framework Laravel dan database MySQL. Metode penelitian bersifat deskriptif kualitatif melalui observasi, wawancara, dan studi literatur. Hasil penelitian menunjukkan bahwa sistem yang dikembangkan mampu mengelola penyusunan soal, pelaksanaan ujian, hingga pengolahan hasil secara lebih cepat, akurat, dan terintegrasi. Pengujian sistem menggunakan Black Box Testing memperlihatkan bahwa aplikasi berjalan sesuai kebutuhan pengguna dan meningkatkan kepuasan baik dari sisi pengajar maupun siswa. Penelitian ini berkontribusi dalam menyediakan solusi teknologi yang relevan bagi lembaga pendidikan nonformal serta dapat menjadi rujukan dalam pengembangan sistem ujian online pada konteks serupa.
Rancang Bangun Absensi Kerja Berbasis IoT Studi Kasus di PT Logis X Putra, Aditya Wahyu; Diantoro, Karno
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 3 (2025): Agustus - October
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i3.2751

Abstract

Sistem absensi manual yang masih diterapkan di PT Logis X menimbulkan sejumlah tantangan, masih ditemukan potensi manipulasi data. Penelitian ini bertujuan untuk merancang serta mengimplementasikan sistem absensi berbasis Internet of Things (IoT) yang memanfaatkan teknologi Radio Frequency Identification (RFID). Inovasi ini ditujukan untuk meningkatkan efisiensi proses pencatatan kehadiran, meminimalisir kemungkinan penyalahgunaan data, serta menyajikan laporan kehadiran yang lebih akurat dan terstruktur. Sistem ini dikembangkan menggunakan bahasa pemrograman C++ dengan integrasi IoT untuk memungkinkan pengiriman laporan secara real-time. Validasi dilakukan dengan metode blackbox untuk memastikan seluruh fungsi berjalan sesuai dengan rancangan. Hasil penelitian menunjukkan bahwa sistem mampu meningkatkan produktivitas dan transparansi dalam pengelolaan absensi karyawan di PT Logis X.
PERANCANGAN SISTEM INFORMASI PENJUALAN KENDARAAN DI DEALER SHOWROOM PT. SUMBER BARU ANEKA MOBIL Diantoro, Karno; Rahman, M. Gifariz Fradhana
TEKNOFILE : Jurnal Sistem Informasi Vol. 3 No. 7 (2025): Juli 2025
Publisher : PT. ZIVANA CENDEKIAWAN BANGSA

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Sumber  Baru Aneka Mobil is a PT engaged in the sale  of new Suzuki cars in  cash or credit. Sumber Baru Aneka  Mobil has a problem with the Car Sales Information System. The problems faced in facing this era of  the free trade, it is not suprising  that the demands of the rapid  development of the bussiness world and technology must be adapted as optimally as possible. This needs to be  supported  by the avaliabillity of a fast information system so that it can support decision making in the company. Therefore the system created is a new system that solves the problem of car sales at PT Sumber Baru Aneka Mobil. The system that will be proposed is a sales information system using a computer application. The system is a very good alternative to overcome problems that often occur in a system that demands speed. With this system, the administation and payemt section of PT Sumber Baru Aneka Mobil is expected to be able to reduce the presentation of errors and data loss, and smooth the car sales  process at PT Sumber Baru Aneka Mobil.
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.
Using Artificial Intelligence (AI) to Boost High School Students' Interest in Learning: A Community Service Project Diantoro, Karno; Arainy, Corizon Sinar; Soderi, Ahmad; Juwari; Sakti, Essy Malays Sari
Civitas : Jurnal Pengabdian Masyarakat Vol. 1 No. 1 (2024): September 2024
Publisher : Indonesian Scientific Publication

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61978/civitas.v1i1.329

Abstract

The advancement of artificial intelligence (AI) technology creates new educational opportunities. The purpose of this community service project is to use AI to boost secondary school students' interest in learning. AI-based tools are integrated into the learning process and a series of workshops are used to carry out the program. Among the techniques employed are AI tutoring systems, interactive learning materials, and teacher training. The quality of assignments, length of learning focus, and class participation all significantly rose as a result of the results, indicating a considerable improvement in students' enthusiasm for learning. According to post-program surveys, 90% of teachers believe AI is effective at increasing student engagement, and 85% of students feel that they are more interested in their classes. The infrastructure of technology and the initial adjustment to the new system present the biggest obstacles. To sum up, incorporating AI into education offers a lot of promise to boost student interest in studying, but doing so calls for a planned strategy and continuous assistance.
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.
Co-Authors Abdul Rozak Abdur Rohman Abdurrohman Ahmad Soderi Alfaidz, Daffa Zein Aminuyati Arainy, Corizon Sinar Boy Firmansyah Budiono, Adji Burhani, Irfan Daniel Happy Putra Era Sari Munthe Essy Malays Sari Sakti Gumilar, Galang Handi Gunawan Herwanto, Agus Hoer, Muhammad Abd Iqbal Iqbal Jamaludin, Ijmal Juwari Kharunnisa, Kharunnisa Marthalia, Lia Putra, Aditya Wahyu Rahman, M. Gifariz Fradhana Rinaldo Riyadillah, Ridho Rizaldy, Mohammad Ricky Rohman , Abdur Rusmawati, Retno Danu Sakti, Essy Malays Sari Samroh Saromah Saromah, Saromah Sinar, Corizon Sitorus, Anwar T Sitorus, Anwar T. Soderi, Ahmad Sumaryanto, Agus SUNARNO Syamsiar, Syamsiar Taufiqurrahman Taufiqurrahman Tobing, Yahezkiel Geovano Wulan, Anjelis Ratu Yamin, Muhammad Ikrar