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All Journal Jurnal Ilmiah Pangabdhi EMITTER International Journal of Engineering Technology Jurnal Eksplora Informatika ELS Journal on Interdisciplinary Studies in Humanities Jurnal Teknik Informatika UNIKA Santo Thomas Jurnal Nasional Komputasi dan Teknologi Informasi Jurnal Riset Informatika EDUMATIC: Jurnal Pendidikan Informatika JUKANTI (Jurnal Pendidikan Teknologi Informasi) JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal of Applied Multimedia and Networking Innovation in Research of Informatics (INNOVATICS) Jurnal Pengabdian UNDIKMA International Journal of Multidisciplinary: Applied Business and Education Research Indo-MathEdu Intellectuals Journal Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Digital Transformation Technology (Digitech) Jurnal Ilmiah Edutic : Pendidikan dan Informatika Journal of Embedded Systems, Security and Intelligent Systems NERO (Networking Engineering Research Operation) Jurnal Pendidikan Teknologi Informasi (JUKANTI) Jurnal MediaTIK Informasi interaktif : jurnal informatika dan teknologi informasi
Tahir, Muhlis
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Pelatihan Keamanan Jaringan WAN dengan Mikrotik untuk Meningkatkan Kompetensi Keahlian Siswa SMK Tahir, Muhlis; Purnamasari, Dian Neipa; Nazarullail, Fikri; Muamar, Muamar; Ardiansyah, Muhammad Risky; Putri, Aureliia Maharani; Firmansyah, Ifan Fauzi
Jurnal Pengabdian UNDIKMA Vol. 6 No. 3 (2025): August
Publisher : LPPM Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jpu.v6i3.16339

Abstract

This community service aims to enhance students' skills in managing and securing school networks, with a focus on Mikrotik security configuration. The target participants were teachers and students of Computer and Network Engineering at SMKS-Al Muhajirin Arosbaya. The training methods included workshops, hands-on practice, and project-based evaluations to assess students' understanding and skills. The results of the service showed a significant improvement in students' ability to manage firewalls, VPN configurations, and bandwidth settings on Mikrotik. In addition, students are also able to identify and deal with cyber threats more effectively. These results showed that the training provided was not only relevant to the needs of the industry, but also helped students be better prepared to face challenges in the world of work. This service activity is important in preparing vocational school students as competent experts in the field of network security.  
Pengembangan Game Edukasi Tipe RPG Berbasis Android sebagai Suplemen pada Materi Anatomi Tumbuhan Ardiansyah, Fachrul Dhika; Tahir, Muhlis; Kusumaningsih, Ari; Arif, Muchamad; Wijaya, Etistika Yuni
Eksplora Informatika Vol 13 No 1 (2023): Jurnal Eksplora Informatika
Publisher : Institut Teknologi dan Bisnis STIKOM Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30864/eksplora.v13i1.982

Abstract

Penelitian ini bertujuan untuk mengkaji pentingnya penerapan game edukasi tipe Role Playing Game (RPG) dalam pembelajaran anatomi tumbuhan di SD Negeri Ngaglik 1 Bojonegoro. Model pengembangan yang digunakan adalah Sprint, yang memungkinkan pengembangan yang terfokus dan terukur dalam waktu singkat. Hasil penelitian ini menunjukkan bahwa penggunaan game edukasi tipe RPG dalam pembelajaran anatomi tumbuhan memberikan dampak yang signifikan. Data hasil penelitian ini diklasifikasikan sebagai sangat layak berdasarkan kriteria ISO 25010, dengan rata-rata pencapaian sebesar 94,46%. Selain itu, partisipasi ahli materi, dosen, dan guru menghasilkan tingkat persetujuan 100%, sedangkan uji coba kelompok kecil memberikan tingkat persetujuan sebesar 93,33%, dan uji coba kelompok besar sebesar 91,86%. Temuan ini menunjukkan bahwa penerapan model pengembangan Sprint dalam pengembangan game edukasi tipe RPG mampu meningkatkan efektivitas pembelajaran anatomi tumbuhan di SD Negeri Ngaglik 1 Bojonegoro.
Penerapan Sprint Design dalam Pengembangan Game Edukasi sebagai Media Belajar Kosakata Bahasa Arab Alfirdaus, Mohammad Harun; Tahir, Muhlis; Kusumaningsih, Ari; Arif, Muchamad; Wijaya, Etistika Yuni
Eksplora Informatika Vol 13 No 1 (2023): Jurnal Eksplora Informatika
Publisher : Institut Teknologi dan Bisnis STIKOM Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30864/eksplora.v13i1.984

Abstract

Penggunaan media ajar konvensional buku dan metode ceramah tanpa ditunjang media lain mengakibatkan lemahnya kemampuan siswa MI Darussalam dalam menguasai kosakata. Penelitian dan pengembangan ini telah menghasilkan sebuah media game edukasi berbasis android pada mata pelajaran bahasa Arab untuk siswa kelas V MI Darussalam. Media ini dirancang sebagai media belajar yang fleksibel dan menyenangkan bagi siswa untuk menghafal kosakata bahasa Arab pada materi anggota tubuh, profesi, dan kebun binatang. Aplikasi yang digunakan untuk membangun game ini yaitu Gdevelop Game Engine. Kemudian metode pengembangan yang digunakan yaitu metode design sprint yang terdiri dari lima fase yaitu understand (memahami), diverge (mencabangkan), decide (memutuskan), prototype (prototipe), dan validate (validasi). Hasil validasi memperoleh persentase 93% untuk validasi ahli materi dan 91% untuk validasi ahli media menggunakan ISO 25010. Kemudian, hasil uji coba peserta didik dengan kelompok kecil dan kelompok besar mendapatkan nilai kelayakan 91% dan 96%. Dari hasil validasi ahli materi, ahli media menggunakan ISO 25010, dan uji coba peserta didik dapat disimpulkan bahwa media dapat dikualifikasikan sangat layak dan dapat didistribusikan terhadap sasaran penelitian.
Sistem Klasifikasi Citra Simplisia Fructus Dalam Obat Tradisional Madura Menggunakan Transfer Learning Pada Algoritma CNN Elnursa, Dian Budi; Tahir, Muhlis; Jakfar, Abdul Azis; Resnanda, Rio Meisya
EDUTIC Vol 10, No 1: November 2023
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/edutic.v10i1.22957

Abstract

Herbal plants have long been a part of traditional medical practices in various cultures, including in Madurese traditional medicine. One crucial component in the preparation of traditional medicine is Simplisia Fructus. Accurate knowledge of Simplisia Fructus is often a challenge, especially for those unfamiliar with it, as recognizing the various forms of Simplisia Fructus can be difficult due to its numerous types. The utilization of artificial intelligence technology, such as Convolutional Neural Network (CNN), can be a solution to assist in identifying and introducing types of Simplisia Fructus. This research employs transfer learning tested on a small-scale dataset. The dataset comprises six classes: Piperis Nigri Fructus (Black Pepper), Piperis Albi Fructus (White Pepper), Cumini Fructus (Cumin), Amomi Fructus (Cardamom), Tamarindus Indica Fructus Piper Retrofractum Fructus (Javanese Chili), Capsici Frutescentis Fructus (Bird's Eye Chili). The total dataset for all classes is 979. Dataset preprocessing involves dividing it into three parts: 80% for training, 10% for validation, and 10% for testing. Model evaluation using a confusion matrix yielded an accuracy rate of 97%. Additionally, web system testing using blackbox testing resulted in a 99.17% rating in the "Highly Acceptable" category. The system implementation follows the software development life cycle (SDLC), specifically the waterfall model for software development and web coding using the Flask framework. The outcome of this research is a web-based application capable of recognizing types of Simplisia Fructus within the category of Madurese traditional medicine
Peningkatan Keamanan Jaringan LAN dan WLAN Melalui Standard Acces Control List Tahir, Muhlis; Hariyanto, Hariyanto; Firdausi , M.Imam; Saim, Saim; Nuriyah , Nuriyah; Maimunah, Maimunah
Digital Transformation Technology Vol. 4 No. 1 (2024): Periode Maret 2024
Publisher : Information Technology and Science(ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/digitech.v4i1.4261

Abstract

Penelitian ini bertujuan untuk meningkatkan keamanan jaringan komputer  SMK Negeri 1 Blega dengan menerapkan access control list (ACL). Menambah kompleksitas   Keamanan dunia maya memerlukan perlindungan jaringan komputer yang kuat. ACL adalah mekanisme keamanan  yang memungkinkan Anda mengatur dan membatasi lalu lintas  yang masuk dan keluar dari jaringan Anda. Penelitian  ini dilakukan dalam tahap percobaan yang meliputi  pengujian keamanan jaringan awal, implementasi langkah-langkah keamanan yang diusulkan,  dan pengujian jaringan internal router. Pengujian telah memungkinkan kami untuk menutup celah keamanan  dan membatasi akses tidak sah ke server   dari PC klien Lab Komputer. Akses  perangkat Wi-Fi ke server juga berhasil dibatasi kecuali  PC Admin Lab Komputer, yang diizinkan  mengakses  server. Penerapan ACL kini dapat secara efektif meningkatkan keamanan jaringan. Ini juga menyediakan pemantauan rutin dan evaluasi harian terhadap aturan ACL dan rekomendasi untuk mengintegrasikan fitur keamanan tambahan  untuk terus menjaga keamanan jaringan Anda. Hasil penelitian ini akan memberikan kontribusi positif dalam mengatasi tantangan keamanan di era digital yang semakin kompleks.
REKONSTRUKSI JARINGAN KOMPUTER DENGAN METODE TOP-DOWN (STUDI KASUS SMKN 3 BANGKALAN) Tahir, Muhlis; Aini, Nuru; Cahyani, Laili; Yuni Wijaya, Etistika; Afif Effindi, Muhamad; Dellia, Prita
NERO (Networking Engineering Research Operation) Vol 8, No 1 (2023): Nero - 2023
Publisher : Jurusan Teknik Informatika Fakultas Teknik Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/nero.v8i1.19086

Abstract

Jaringan komputer terdiri dari dua atau lebih perangkat komputasi yang saling berhubungan atau terhubung dan digunakan untuk sumber data yang berbeda.. SMK Negeri 3 Bangkalan  selama ini tekah memiliki rangkaian jaringan LAN  yang sudah dan telah menerapkan sistem teknologi komputer pada beberapa aktivitas di  lingkungan sekolah, sehingga  kondisi jaringan komputer yang ada di sekolah tersebut dalam kondisi baik, cepat dan aman namun seiring berjalannya waktu rangkaian jaringan LAN yang terbentuk dengan mulai mengalami gangguan pada kabel koneksi jaringan, SMKN 3 Bangkalan  yang mungkin mengalami masalah pada kinerja jaringan karena komputer. Metode top-down banyak digunakan untuk pengembangan jaringan, dan metode top-down itu sendiri adalah metode untuk membangun jaringan area lokal di mana setiap unit dibangun pada waktu yang sama. Hasil analisis perbandingan PING pada IP awal dengan IP tujuan diketahui dalam kondisi jaringan existing mendapatkan nilai waktu PING 1072 ms dan average 52. 48 ms untuk TTL yang didapatkan dengan nilai waktu 28421 ms dan average 1561.86 ms, sedangkan pada kondisi jaringan yang diusulkan mendapatkan nilai waktu PING 59 ms dan average 2.7776 ms untuk TTL yang didapatkan dengan nilai waktu 27741 ms dan average 1566.67 ms, dapat disimpulkan pada kondisi jaringan yang di usulkan untuk nilai  waktu PING  lebih baik dari kondisi existing. Dengan menggunakan metode ini, diharapkan dapat membuat jaringan baru dengan fungsionalitas yang lebih baik.Kata kunci: Jaringan Komputer, SMKN 3 Bangkalan , Top Down 
Edukasi Peran Orang Tua dalam Mendampingi Anak Menggunakan Media Digital di TK Negeri Pembina Pejagan Izzati, Masittha; Oktavianingsih, Eka; Fitroh, Siti Fadjryana; Tahir, Muhlis
Indo-MathEdu Intellectuals Journal Vol. 6 No. 8 (2025): Indo-MathEdu Intellectuals Journal
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/imeij.v6i8.4583

Abstract

The development of digital technology presents both opportunities and challenges for parents in assisting early childhood. A lack of understanding about the correct and safe use of digital media often exposes children to inappropriate content and lacks optimal guidance. This study aims to improve parents' understanding of the function of digital parenting, how to provide guidance, and the wise use of digital media for early childhood. The research method used a descriptive qualitative approach. The research subjects consisted of parents of students at Pembina Pejagan State Kindergarten, selected through purposive sampling. Data collection techniques used in this study were observation, interviews, and documentation. The data analysis technique in this study used technical triangulation. The results of the study indicate that parents' understanding of digital guidance has increased, based on participatory observation and input from participants. Parents increasingly understand the importance of limiting screen time, selecting educational applications, and active communication when children use digital devices. This activity shows that direct education through socialization and guidance successfully improves parents' digital literacy. A practical workshop as a follow-up program is recommended so that parents' skills can continue to develop and be consistently applied within the family environment
Penguatan Kompetensi Guru Melalui Pembelajaran Ramah Anak Berbantuan Game Edukasi Digital untuk Pencegahan Bullying Oktavianingsih, Eka; Fitroh, Siti Fadjryana; Tahir, Muhlis; Fatmawati, Fatmawati; Izzati, Masittha; Kiptiyah, Maryatul
Jurnal Pengabdian UNDIKMA Vol. 7 No. 1 (2026): February
Publisher : LPPM Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jpu.v7i1.18293

Abstract

This community service program aims to enhance teachers’ competencies in preventing bullying through child-friendly learning supported by the digital educational game “Jagoan Kebaikan.” The program employed mentoring and simulation methods and was conducted in partnership with TK Negeri Pembina Pejagan Bangkalan, involving 11 teachers as participants. Evaluation was carried out through pre-test and post-test assessments administered during the training activities to measure teachers’ knowledge and skills, with data analyzed using the Paired Sample t-Test. The results indicate a significant improvement in teachers’ knowledge and skills following the implementation of the program. Based on the post-test results, 6 participants (54.5%) demonstrated very good levels of knowledge, 4 participants (36.3%) showed good knowledge, and 1 participant (9%) was categorized as having a sufficient level of knowledge. These findings suggest that the mentoring activities were effective in enhancing teachers’ competencies in bullying prevention through child-friendly learning supported by digital educational games.
Classification Algorithms of Maternal Risk Detection For Preeclampsia With Hypertension During Pregnancy Using Particle Swarm Optimization Tahir, Muhlis; Badriyah, Tessy; Syarif, Iwan
EMITTER International Journal of Engineering Technology Vol 6 No 2 (2018)
Publisher : Politeknik Elektronika Negeri Surabaya (PENS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (565.13 KB) | DOI: 10.24003/emitter.v6i2.287

Abstract

Preeclampsia is a pregnancy abnormality that develops after 20 weeks of pregnancy characterized by hypertension and proteinuria.  The purpose of this research was to predict the risk of preeclampsia level in pregnant women during pregnancy process using Neural Network and Deep Learning algorithm, and compare the result of both algorithm. There are 17 parameters that taken from 1077 patient data in Haji General Hospital Surabaya and two hospitals in Makassar start on December 12th 2017 until February 12th 2018. We use particle swarm optimization (PSO) as the feature selection algorithm. This experiment shows that PSO can reduce the number of attributes from 17 to 7 attributes. Using LOO validation on the original data show that the result of Deep Learning has the accuracy of 95.12% and it give faster execution time by using the reduced dataset (eight-speed quicker than the original data performance). Beside that the accuracy of Deep Learning increased 0.56% become 95.68%. Generally, PSO gave the excellent result in the significantly lowering sum attribute as long as keep and improve method and precision although lowering computational period. Deep Learning enables end-to-end framework, and only need input and output without require for tweaking the attributes or features and does not require a long time and complex systems and understanding of the deep data on computing.
Performance Evaluation of a Cowrie-Based Honeypot Integrated with a Suricata Intrusion Prevention System in a School Wireless Network Putri, Aurellia Maharani; Tahir, Muhlis
Journal of Embedded Systems, Security and Intelligent Systems Vol 7 No 1 (2026): March 2026
Publisher : Program Studi Teknik Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/jessi.v7i1.2605

Abstract

Purpose – This study aims to implement and evaluate the integration of the Cowrie honeypot model with a Suricata-based Intrusion Prevention System (IPS) as a proactive security solution for school wireless networks. Design/methods/approach – The research method includes a literature review, needs analysis, security topology design, system implementation, and testing using port scanning and SSH brute force attack scenarios. The Cowrie honeypot is utilized to detect and log attack activities, while Suricata functions as an IPS to perform automatic real-time blocking. Findings – The results show that without a security system, both detection and blocking rates were 0%. After implementing Cowrie, the detection rate increased to 100%, although no blocking capability was present. The integration of Cowrie and Suricata IPS achieved 100% detection and 100% blocking rates for port scanning attacks (10 test packets) with an average response time of 0.8 seconds. In the SSH brute force test, the system successfully blocked attacks after 5 out of 10 login attempts, with an average response time of 0.9 seconds. Research implications/limitations – The evaluation was conducted under controlled experimental conditions using a limited number of attack simulations (10 scanning packets and 10 brute force attempts). Therefore, the results may not fully represent performance in large-scale or real-world network environments. Future studies should involve more extensive testing with diverse attack patterns and higher traffic volumes. Originality/value – This study contributes a practical integration of honeypot and IPS technologies to enhance wireless network security in school environments, providing a proactive and automated approach to both detect and mitigate cyberattacks in real time.
Co-Authors Adela Sapitri, Tania Adiba, Fhatiah Afif Effindi, Muhamad Afiifa, Nabila Aulia Nur Akmal Hasan, Muhammad Akmalia Maylani, Farah Alfinatul Umam, Rizka Alfirdaus, Mohammad Harun Almas Alvaradis, Ach Ana Tsalitsatun Ni'mah Andi Akram Nur Risal Andika El-Faizi, Alfian Ardiansyah, Fachrul Dhika Ardiansyah, Muhammad Risky Ari Kusumaningsih arifin tahir Arifrahman, Alif Adillah Nugraha Ayu Pratiwi, Ayu Ayu Zulaica, Widya Devita Sari Dian Neipa Purnamasari Diana, Luluk Mauli Dwi Mahendra, Yudha Dwi Mardania, Saskia Dyransyha, Ilham Akbar Elnursa, Dian Budi Fajrul Islam, Muhammad Fatmawati, Fatmawati Firdausi , M.Imam Firmansyah, Ifan Fauzi Gafira Wirdana Zain, Raja Ghaffar, Abd Halimi, Ahmad Hamdani Hamidillah, Aisyah Akmal Hariri, Naila HARIYANTO HARIYANTO Hermi, Ibra Fahrezy Husnul Khotimah, Bidari Ihsan, Rifqi Farhanul Ilham Arifin, Rizky Intan Sabila, Meilia Ismael Ismael Ismail Ismail iwan Syarif Izzati, Masittha Izzaturrahmah, Annis Jakfar, Abdul Azis Jannah, A'la Faradisil Juliah, Siti Jumadi, Ahmad Kamil, Alvin Kiptiyah, Maryatul Laili Cahyani Laviva Rahmat, Aini MAHARANI, APRILIA Maimunah, Maimunah Maulidia, Ika Mazidah, Isti'anatul Miftahun Nur Rizky, Aristya Misfarah, Misfarah Muamar Muamar Muchamad Arif, Muchamad Mufarrohah, Mufarrohah Muhamad Afif Effindi, Muhamad Afif Muhammad Risky Ardiansyah Muidatul Fauziah, Siti Nataswa Juniar, Naila Nawafilillah Nazarullail, Fikri Noer Afidha, Adelia Nur Mei Syahrina, Wilda Nuriyah , Nuriyah Nuru Aini Oktavianingsih, Eka Paramita Dewi, Esti Prita Dellia Puji, Renny Putra Pratama, Muhammad Iyan Putra, Hengki Ulman Armanda Putri, Aureliia Maharani Putri, Aurellia Maharani Qirani, Ayu Putri Qurrotul Aini Ramadhan, Yogi Rifansyah Resnanda, Rio Meisya Ricka Seviana, Alvienda Rizqiullah, Nabila Rotama Putra, Whiky Rozan, Muhammad Afrian Rusmiati, Siti Saim, Saim Sangka Buana, Dewi Sari Saputri, Maduratna Savitri, Camelia Siti Fadjryana Fitroh Soleha Stefany, Evy maya Sulton Nawawi Takasi, La Ode Muhammad Ruspan Tessy Badriyah, Tessy Ummah, Rovikotul Valahi, Alvito Dhail Veranda, Mareta Wahyuningsih, Umami Wiandani, Rahadian Setiya Wicaksono Hermawan, Tegar Wijaya, Etistika Yuni Yafi' Bahytsany, Muhammad Yakub, Riki Yuni Wijaya, Etistika Zam Zami, Zidan Zulkhaeriyah, Zulkhaeriyah