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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Buana Informatika Jurnal Edukasi dan Penelitian Informatika (JEPIN) JAKPP : Jurnal Analisis Kebijakan & Pelayanan Publik Sistemasi: Jurnal Sistem Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Pendas : Jurnah Ilmiah Pendidikan Dasar ILKOM Jurnal Ilmiah Prosiding Seminar Nasional Sains dan Teknologi Terapan JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Reformasi : Jurnal Ilmiah Ilmu Sosial dan Ilmu Politik JISKa (Jurnal Informatika Sunan Kalijaga) Technologia: Jurnal Ilmiah Journal of Information Systems and Informatics Majalah Ilmiah Warta Dharmawangsa PERSPEKTIF Mobile and Forensics Jurnal Teknologi Dan Sistem Informasi Bisnis JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Mediasosian : Jurnal Ilmu Sosial dan Administrasi Negara Automata Reswara: Jurnal Pengabdian Kepada Masyarakat TIN: TERAPAN INFORMATIKA NUSANTARA International Journal Of Science, Technology & Management (IJSTM) Lumbung Inovasi: Jurnal Pengabdian Kepada Masyarakat Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Andalas International Journal of Socio-Humanities Jurnal Ilmiah Kampus Mengajar Jurnal INFOTEL Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi Journal of Geosciences and Applied Geology Journal of Civil Engineering and Vocational Education Al-Mizan : Jurnal Ekonomi Syariah Jurnal Ilmiah Insan Mulia Journal of Elementary Education Research Indonesian State Law Review (ISLRev)
Ahmad Luthfi
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Isolation Forest-Based Anomaly Detection in IoT Smart Home Network Traffic Luthfi, Ahmad; Emigawaty, Emigawaty
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.v18i1.3156.43-57

Abstract

The convergence of the Internet of Things (IoT) and Society 5.0 has successfully led to a human-centered and data-driven life ecosystem. IoT has become the backbone for infrastructure implemented in various domains, ranging from smart homes and smart farming to smart industrial environments. Nevertheless, as IoT devices become more connected and integrated into the ecosystem, the attack surface expands and network security becomes more challenging. The massive convergence and connectivity of IoT devices have a high potential for attacks on network infrastructure, such as Denial of Service (DoS), port scanning, exfiltration, brute force, and man-in-the-middle attacks. This study aims to detect anomalies in IoT network traffic by applying the Isolation Forest (IF) algorithm. The dataset was obtained from an IoT gateway connected to smart home devices and includes features such as data packet size, connection duration, source and destination capacity, attack protocols used, and the connection status of each device. The experimental results of this study indicate that the IF method can identify smart home device attacks with a competitive level of accuracy. The results of the anomaly analysis are then presented through a confusion matrix, classification report, and analytical visualizations such as 2D PCA, t-SNE, heatmap, and temporal distribution of anomalies. This study declares that the IF method contributes effectively to the analysis of Intrusion Detection Systems (IDS) in IoT environments such as smart homes that are heterogeneous and dynamic
Refining the Performance of Neural Networks with Simple Architectures for Indonesian Sign Language System (SIBI) Letter Recognition Using Keypoint Detection Amir, Nur Hikma; Dewa, Chandra Kusuma; Luthfi, Ahmad
ILKOM Jurnal Ilmiah Vol 17, No 1 (2025)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v17i1.2522.64-73

Abstract

The diversity of non-verbal communication styles among persons with disabilities in Indonesia highlights the urgent need for technological solutions that support accessibility in both workplace settings and social contexts. This study proposes a novel approach to improving neural network performance through the use of simple architectures for recognizing Indonesian Sign Language (SIBI) letters M and N, by applying keypoint detection while accounting for hand size variations (17–22 cm). Four models were evaluated: YOLOv5 based on image detection, as well as VGG-16, Attention, and Multi-Layer Perceptron (MLP) developed using keypoint detection. The evaluation was conducted in real-time, taking into account accessories such as rings, watches, and gloves, as well as varying lighting intensities to simulate real-world user environments. The novelty lies in the integration of keypoint detection into lightweight architectures, which significantly improves accuracy and resilience against visual disturbances (noise). The MLP model achieved the best performance, with an accuracy of 94% for M and 93% for N, outperforming more complex approaches such as YOLOv5, which showed a significant drop in accuracy under disturbed conditions. The integration of VGG-16 with Attention resulted in underfitting, emphasizing that complexity does not always correlate with effectiveness. These findings underscore the potential of lightweight models to enhance technological accessibility for the disabled community across various social and professional domains.
INTERNALISASI NILAI-NILAI TASAWUF PADA UPAYA PEMBINAAN AKHLAK SANTRI ERA MODERNITAS (STUDI KASUS PONDOK PESANTREN MIFTAHUL HUDA GADING) Ahmad Luthfi; Ahmad Barizi; Samsul Hady
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 02 (2026): Volume 11 No. 2, Juni 2026 Publish
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i02.52153

Abstract

Salaf Islamic boarding schools (pesantren salaf), which are closely identified with the practice of Sufism (tasawuf) values, offer a solution to the challenges of modern society. This study is categorized as field research employing a qualitative approach to examine the existing structures and contexts regarding the internalization of Sufism values. The specific Sufism values internalized at the Miftahul Huda Islamic Boarding School to cultivate the students' (santri) morals (akhlak) include repentance (taubat), patience (sabar), sincerity (ikhlas), contentment (qona’ah), asceticism (zuhud), piety/scrupulousness (wira’i), and divine love (mahabbah). The internalization process of these values utilizes three models formulated by Imam al-Ghazali, namely takhalli (purification), tahalli (beautification), and tajalli (enlightenment). Furthermore, the application of Sufism values in the students' daily lives is implemented through several activities, such as habituating wirid (litany recitation) and muroqobah (mindfulness/divine consciousness), exemplifying uswatun hasanah (good role modeling), deepening Sufism studies through formal and non-formal education, and participating in spiritual paths (thariqah). Ultimately, the institutional regulations and policies, the Islamic school (madrasah diniyah) curriculum, supporting activities within the institution, and the modesty and noble character exemplified by the scholars/teachers (masyayikh) serve as strategic solutions in overcoming the challenges of internalizing Sufism values in the modern era.
Co-Authors Abdul Aziz Afriyanti, Rafika Agung Firmansyah, Rico Ahmad Barizi AHMAD FAISOL Ahmad Zamzami Ahmat Wakit Aini, Hana Nur Amali, Adityal Chisabul Amir, Nur Hikma Amitama, Emilia Bunga Anggraini, Friska Aprilianti Nirmala S Apriyani, Mirna Ariwibisono, FX Bambang Sugiantoro Dedy Afrizal Denny Vitasari Dewa, Chandra Kusuma Dhomas Hatta Fudholi diana, ros Didik Sudyana Dila Erlianti Dirgantoro, Revandho Vianuara Dwi Kurnia Wibowo Emigawaty Erinaldi, Erinaldi Fachrudin, Kurnia Arfiansyah Fadlullah, Shandy Yusril Fakhriansyah, Amru Rizal Fawzan, Ihsan fFaizal, Arif Fiasari, Sinta Nur Fitri Amaliyah Batubara Hafrida, Lis Halim, Muhammad Yusuf Hananfajri, Muhammad Hardika Dwi Hermawan Hasanah, Nur Uswatun Hijeriah, E. Maznah I Made Arie Widyasthana Wartana Putra Ibrahim Al khalil Ildrem Syafri Imam Riadi Irdina, Mutiara Karomah, Siti Kasnelly, Sri Kholid Haryono Kusuma Dewa, Chandra Latif Syaipudin Lian Agustina Setiyaningsih Lionardo , Andries M. Said Maulana, Bagus Andrai Mawarni, Dinda Iga Meutia, Adinda Munawwaroh, Nasywa Zunaibatul Munjayyanah, Munjayyanah Mushaffa Asadilah, Ikhwan Alfi Mustikarini, Monika Grace Nilma, Nilma Nur Widiyasono Nur Widiyasono, Nur Nurhalisa, Sabrina Nuril Anwar, Nuril Nurzabrina Anugrani Pakkaja, Ryan Alghazali Paputungan, Irving Vitra Poespitohadi, Wibisono Pratama, Syahrul Pravitasari, Norma Prayoga, Diki Purnamasari, Rika Afriyanti Putra, I Made Arie Widyasthana Wartana Ramadani, Erika Ramadiniyati, Suci Raniasa Putra Rika Handayani Rike Nursafitri Rini, Belinda Septia Rizky Achmad Almayda Almayda Romadhona, Frendi Yusroni Rosa, Nauviana Pita Salwa, Nikmatus Samsul Hady Shaleha, Annisa Amalia Siswahyudianto Sitti Hajerah Hasyim Sobri, Kgs M. Sri Widayati Sumarni Sumarni Suroningsih Suroningsih, Suroningsih Tuharea, Ibnu Rohan Ulfa, Anisa Rifai Widarta, Agung Eka Yosika, Diana Rosa Yudi prayudi Zainul’ID, Ahmad Bagus Zikri Wahyuzi Zubizaretta, Zaid Dzulkarnain