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All Journal Jurnal Teknologi dan Manajemen Informatika JUTI: Jurnal Ilmiah Teknologi Informasi SMATIKA JPM (Jurnal Pemberdayaan Masyarakat) Journal on Information Systems, Technology of Information and Communications (JoISTIC) JOURNAL OF APPLIED INFORMATICS AND COMPUTING ILKOM Jurnal Ilmiah KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) IJISCS (International Journal Of Information System and Computer Science) Tematik : Jurnal Teknologi Informasi Komunikasi Teknika J-Intech (Journal of Information and Technology) Mavis : Jurnal Desain Komunikasi Visual Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Jurnal Ilmiah Sistem Informasi dan Ilmu Komputer Jurnal INFOTEL KOPEMAS IJISCS (International Journal of Information System and Computer Science) Journal of Information Technology Smatika Jurnal : STIKI Informatika Jurnal Mavis: Jurnal Desain Komunikasi Visual Dharma Nusantara: Jurnal Ilmiah Pemberdayaan dan Pengabdian kepada Masyarakat Jati Emas (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat)
Rakhmad Maulidi
Telkom University
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Public Health Social Sciences Other

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Perancangan Media Promosi Jasalindo Sport Sundri Natali; Rakhmad Maulidi; Rina Nurfitri
MAVIS : Jurnal Desain Komunikasi Visual Vol 4 No 02 (2022): Mavis : Jurnal Desain Komunikasi Visual
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/mavis.v4i02.790

Abstract

Jasalindo Sport design is a company engaged in rescue and diving, shipwrecking and the provision of diving equipment, the Company does not yet have a promotional media that can be known to the public. Therefore, it is necessary to design a media promotion Jasalindo Sport to improve the image of the company that can be known to the public and increase sales. The method of design using sadjiman Ebdi Sanyoto's method of collecting observation and interview data, with SWOT data analysis (Strengths, Weakness, Opportunities, and Threats (Threats) after that formed a final design that was then tested to the target audience. Jasalindo Sport's promotional media design resulted in a video company Profile and supporting media posters, brochures, catalogs, x-banners, published on youtube, Instagram, Facebook. In conclusion, the resulting media certainly has advantages and disadvantages in helping to introduce Jasalindo Sport.
Aksara Jawa Sebagai Ide Dasar Perancangan Typeface Kampung Tembalangan. Bernardus Satria Agasta Dwi Cahyono; Rakhmad Maulidi; Mahendra Wibawa
MAVIS : Jurnal Desain Komunikasi Visual Vol 5 No 01 (2023): Mavis : Jurnal Desain Komunikasi Visual
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/mavis.v5i01.874

Abstract

Tembalangan is a densely populated urban settlement located on Bunga Kumis Kucing Street in the city of Malang, East Java. This vibrant community holds tremendous potential, ranging from its rich natural resources to its captivating historical and cultural heritage. The natural resource potential of Tembalangan is evident in its proximity to the Brantas River and the presence of three natural water sources that are still utilized by the local residents. Additionally, the village boasts a rich historical and cultural legacy, with traces of the ancient Hindu kingdom civilization. However, the passage of time has gradually eroded some of this potential. In response to these challenges, designers have been motivated to craft and enhance one aspect of the visual identity, with the ultimate goal of making Tembalangan more widely recognized and celebrated for the unique character that has flourished within its urban landscape.
Pelatihan Pemanfaatan Tools AI untuk Pembuatan Media Pembelajaran bagi Guru SMP Negeri 16 Malang Yekti Asmoro Kanthi; Mukhlis Amien; Daniel Rudiaman Sijabat; Jozua F Palandi; Rakhmad Maulidi
Dharma Nusantara: Jurnal Ilmiah Pemberdayaan dan Pengabdian kepada Masyarakat Vol. 3 No. 1 (2025): Dharma Nusantara: Jurnal Ilmiah Pemberdayaan dan Pengabdian kepada Masyarakat
Publisher : LPPM Universitas Bhinneka Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/dharma.v3i1.1809

Abstract

Ditengah perkembangan teknologi AI yang semakin pesat, guru sebagai seorang pendidik dituntut tidak hanya menguasai materi pelajaran tetapi juga harus memiliki ketrampilan teknologi dan pemahaman mendalam tentang bagaimana mengintegrasikan teknologi dalam proses pembelajarannya supaya siswa lebih tertarik dan termotivasi dalam mengikuti kegiatan pembelajaran di kelas. Pelatihan pemanfaatan tools AI menjadi jembatan bagi guru SMP Negeri 16 Malang untuk dapat meningkatkan kompetensi guru dalam mengembangkan media pembelajaran yang menarik, interaktif, dan komunikatif menggunakan teknologi AI. Kegiatan pelatihan ini diikuti oleh 62 guru SMPN 16 Malang secara tatap muka, yang terdiri dari teori, praktik langsung, tanya jawab dan evaluasi. Peserta diperkenalkan pada konsep dasar AI, cara penggunaan tools, serta tips dan studi kasus implementasinya dalam pembelajaran. Hasilnya, para guru menunjukkan antusiasme tinggi, aktif dalam sesi tanya jawab, dan mampu menyelesaikan tugas pembuatan media pembelajaran berbasis video. Kendala utama yang ditemui adalah koneksi internet yang kurang stabil. Meskipun demikian, pelatihan ini berhasil meningkatkan pemahaman dan keterampilan guru dalam mengintegrasikan AI ke dalam proses pembelajaran di kelas.
Machine Learning-Based Malware Detection: A Critical Comparative Analysis of Random Forest, Naive Bayes, and Neural Network on Imbalanced Datasets Muhamad Hanif Rafiq Sulaeman; Rakhmad Maulidi
JURNAL INFOTEL Vol 17 No 4 (2025): November
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v17i4.1413

Abstract

Malware detection remains a major challenge in cybersecurity as threats become increasingly complex. This study critically compares three machine learning algorithms Random Forest, Naive Bayes, and Neural Network for automated malware detection using a large, imbalanced dataset (131,574 samples, 57 features). Class imbalance is addressed with SMOTE (Synthetic Minority Oversampling Technique), and preprocessing includes feature selection (SelectKBest), normalization (StandardScaler), and outlier handling. Evaluation metrics include accuracy, Precision, recall, F1-score, and AUC-ROC, using 5-fold cross-validation. Results show Random Forest achieves the highest accuracy (98%, AUC-ROC 0.998), followed by Neural Network (95%, AUC-ROC 0.95), and Naive Bayes (93%, minority class recall 0.80). Feature analysis identifies ImageBase and ResourcesMinSize as key contributors. This study highlights the effectiveness of ensemble methods and the critical importance of addressing class imbalance for robust malware detection. Limitations and implications for real-world deployment are discussed.
An Analysis Of The Spring Water Potential Utilization For Bottled Water Production In Glempang Village, Banyumas Regency: Analisis Potensi Pemanfaatan Mata Air Untuk Air Kemasan Di Desa Glempang Kabupaten Banyumas Muhammad Agung Nugroho; Rakhmad Maulidi; Eka Sahputra
JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Vol. 9 No. 3 (2025): Jati Emas (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat)
Publisher : DPD Jatim Perkumpulan Dosen Indonesia Semesta

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

Abstract

This community service activity aims to analyze the potential use of spring water for bottled water production in Glempang Village, Banyumas Regency, using the SWOT (Strengths, Weaknesses, Opportunities, Threats) analysis method. The analysis results show that this village has great potential, supported by good water quality, a strategic location in the upstream area, high community participation, and existing infrastructure such as reservoirs. Local bottled water market opportunities and support from government programs create favorable conditions. However, there are challenges such as technical and financial limitations, inadequate infrastructure, and the threat of climate change and environmental degradation. The analysis results conclude that the development of the bottled water industry can be a model for a sustainable village economy, if managed well through strategic partnerships, capacity building, investment in appropriate technology, and a strong water quality management system.
An Exploration of the Work Performance of Educators in Transformative Schools: Leveraging Machine Learning for Performance Insights Maulidi, Rakhmad; Palandi, Jozua Ferjanus; Kristanto, Bagus Kristomoyo; Isyriyah, Laila; Rahmatullah, Rizky; Adi, Puput Dani Prasetyo; Kitagawa, Akio
ILKOM Jurnal Ilmiah Vol 18, No 1 (2026)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v18i1.2358.109-125

Abstract

Education has gone through various phases, and entered the transformative school mode which can be said to change the existing order of the previous schooling system or procedures, because many modes can be done in the transformative school, students can learn in school buildings or classes, or in the field or real industry or the real world of work, with the introduction of a wider and more complex world, this is one of them. This research tries to create and analyze transformative schools in 3 algorithms, namely regression algorithms, classification algorithms, and clustering algorithms that provide a detailed analysis of the results of the analysis of transformative schools currently promoted by the government. from the results of the analysis raises performance conclusions, and in this phase a conclusion can be drawn whether the Transformative school is able to provide answers about the performance of teachers, students, teacher education levels, school locations, number of students, learning methods, or any paramaters that can provide detailed and detailed answers to get performance analysis from Machine Learning, and Work Performance of teachers in Transformative schools with precision. Quantitatively, the value of performance is determined by innovation by 43.2%, followed by technological capabilities and collaboration, 27.9% and 17.2% respectively. and based on cluster level, cluster 3 is the best with 118 educators, cluster 0, 127 educators with high innovators, and cluster 2, 126 educators, and cluster 1 with 129 educators. and from the paradox of transformative practices 30.6% are high Adopters
Sentiment Analysis of User Reviews on the Bus Simulator Indonesia Application Using Machine Learning Approaches Iswatun Maimanah; Rakhmad Maulidi; Dany Candra Febrianto
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 16 No 02 (2026): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM Universitas Bhinneka Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v16i02.2285

Abstract

User reviews on the Google Play Store serve as a primary source of information for assessing the quality and satisfaction levels of an application. As expectations for game quality and realism continue to rise, Bus Simulator Indonesia still faces a range of technical issues — including bugs, glitches, visual disturbances, and suboptimal controls — that directly impact user comfort and overall experience. This study aims to classify the sentiments expressed by Bus Simulator Indonesia users into three categories: positive, neutral, and negative. In addition, it compares the performance of three machine learning algorithms: Naive Bayes, Support Vector Machine (SVM), and Logistic Regression. The research pipeline consists of data collection, text preprocessing, word weighting, modeling, and model evaluation. The dataset comprises 19,482 Indonesian-language reviews gathered from the Google Play Store between 2021 and 2025, evaluated across three data-splitting scenarios: 90:10, 80:20, and 70:30. The results show that Support Vector Machine consistently achieved the highest accuracy across all scenarios, recording 84.3%, 82.0%, and 81.0%, with weighted F1-score values of 0.83, 0.82, and 0.81, respectively, indicating a more stable classification performance. Logistic Regression followed with accuracies of 81.1%, 79.9%, and 79.0%, with weighted F1-score values of 0.79, 0.78, and 0.77, respectively, while Naive Bayes produced the lowest scores overall. These findings confirm that Support Vector Machine is the most effective algorithm for sentiment classification of Bus Simulator Indonesia user reviews.
Peningkatan Keamanan Lingkungan Berbasis Internet of Think melalui Implementasi One Gate System di Desa Watugede Subari; Rakhmad Maulidi; Jozua F. Palandi; Febry Eka Purwiantono
Jurnal Pemberdayaan Masyarakat Vol 10 No 2 (2025): November
Publisher : Direktorat Penelitian dan Pengabdian kepada Masyarakat (DPPM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/jpm.v10i2.11737

Abstract

The community service program conducted in Watugede Village, Singosari, aims to enhance environmental security through the implementation of Internet of Things (IoT) technology. The rapid population and economic growth in the Banjararum View housing area has posed serious security challenges, such as theft and robbery. To address these issues, the IoT Guard system was introduced, which integrates an ESP32 WiFi-based automatic barrier gate and CCTV cameras for real-time monitoring. This system allows for remote access control via a mobile application and accurate activity log recording. The program was implemented through several stages, including socialization to the residents, training on system usage, technology implementation, and impact evaluation. The results of this activity indicate a significant improvement in environmental security, a decrease in crime rates, and increased community involvement in maintaining security. The sustainability of the program is designed by involving the community in the management and maintenance of the applied technology. Thus, this model is expected to be replicable in other environments to create safer and more controlled areas, providing long-term benefits for the community.
An IoT-Based Smart Solar Dryer Development for Coffee Bean Drying Optimization as an Applied Technology Solution: Optimalisasi Proses Pengeringan Biji Kopi Menggunakan Smart Solar Dryer Berbasis IoT sebagai Solusi Teknologi Tepat Guna Muhammad Agung Nugroho; Muhammad Raafi'u Firmansyah; Anggi Zafia; Aulia Desy Nur Utomo; Rakhmad Maulidi; Nenen Isnaini
JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Vol. 10 No. 3 (2026): Jati Emas (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat)
Publisher : DPD Jatim Perkumpulan Dosen Indonesia Semesta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36339/je.v10i3.554

Abstract

Drying is a critical stage in coffee post-harvest processing that significantly influences the physical quality, moisture content, and overall quality of green coffee beans. Coffee farmers in the Glodogan Coffee Farmers Group, Glempang Village, Pekuncen District, Banyumas Regency, still rely on the traditional open sun drying method, which is highly dependent on weather conditions, requires a long drying period, produces uneven heat distribution, and increases the risk of contamination and non-uniform moisture content. This community service program aimed to implement an Internet of Things (IoT)-based Smart Solar Dryer as an appropriate technology to improve coffee drying practices. The implementation adopted a Participatory Technology Implementation approach consisting of four stages: partner needs assessment, prototype design and fabrication, technology implementation, and training with evaluation. The developed system integrates a greenhouse-effect drying chamber, temperature and humidity sensors, an ESP32 microcontroller, and a dashboard for real-time monitoring. The implementation demonstrated that the Smart Solar Dryer effectively supported the drying process of both coffee cherries and wet-processed green beans. The monitoring dashboard provided real-time information on drying chamber temperature, humidity, system status, and historical drying records, enabling farmers to monitor the process without opening the drying chamber. Evaluation involving six farmers indicated a Partner Satisfaction Index of 95.33%, with 76.67% of respondents strongly agreeing and 23.33% agreeing with the usefulness of the program and the implemented technology. These findings indicate that the IoT-based Smart Solar Dryer has strong potential to improve coffee post-harvest quality while encouraging the adoption of digital technologies among smallholder coffee farmers.
Co-Authors Adi Bayu Permadi Adi, Puput Dani Prasetyo Agnes Nola Sekar Kinasih Anggi Zafia Arif Tirtana Aulia Desy Nur Utomo Bagus Kristomoyo Kristanto Bernardus Satria Agasta Dwi Cahyono Chaulina Alfianti Oktavia Daniel Rudiaman Sijabat Dany Candra Febrianto Eka Sahputra Evy Poerbaningtyas Evy Poerbaningtyas Fandi, Achmad Zaza Sandri A Febry Eka Purwiantono Imron, Mokhammad Ali Iswatun Maimanah Jihan Arifia Ramadhanti Jozua F Palandi Jozua F. Palandi Jozua Ferjanus Palandi Kitagawa, Akio Kusuma, Bibie Hadi Laila Isyriyah Laila Isyriyah Listianti, Prima Mahendra Wibawa Muhamad Hanif Rafiq Sulaeman Muhammad Agung Nugroho Muhammad Bima Indra Kusuma Muhammad Raafi'u Firmansyah Mukhlis Amien Nando Suchlistio Pramuda Nashihah, Mustafidatun Nenen Isnaini Nira Radita Nugroho, Muhammad Agung Paradise, Paradise Rahmatullah, Rizky Ramadhanti, Jihan Arifia Rina Nurfitri Rina Nurfitri Shaquille Akbar Demsi Siti Aminah Siti Aminah Subari Sundri Natali Yekti Asmoro Kanthi Yohanes Dwi Listio