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All Journal JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer JSAI (Journal Scientific and Applied Informatics) REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Abdimas Indonesian Journal Jurnal Medika: Medika DIGIMAS: Jurnal Transformasi Digital Masyarakat
Akbar Pandu Segara
Universitas Jember
Religion Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Library & Information Science Medicine & Pharmacology Nursing Public Health Social Sciences Other

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Implementasi MQTT (Message Queuing Telemetry Transport) pada Sistem Monitoring Jaringan berbasis SNMP (Simple Network Management Protocol) Akbar Pandu Segara; Rakhmadhany Primananda; Sabriansyah Rizqika Akbar
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 2 (2018): Februari 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1038.2 KB)

Abstract

The growing use of current information technology users, monitoring system is needed to facilitate network administrators to monitor the devices connected in a computer network. Currently network monitoring systems generally display information by polling device data every few minutes. This causes the administrator don't know as early as possible if something happens to the device being monitored. This study developed an SNMP based network monitoring system by implementing MQTT. MQTT uses the principle of publish-subscribe to communicating. MQTT is used because power-saving and lightweight messaging protocol. This research produces a network monitoring system which can monitored device information like CPU, load, and memory periodically and display it in graphical form and table in web interface. System development with implementing SNMP agent on monitored device and SNMP manager on NMS Server as publisher. Manager requested information to agent every 2 seconds. On the client side is implemented a subscriber to subscribe published data by manager and then processed on the web-based interface. From the test results show the processing time data by the server and client takes an average time of 2.029 seconds. For data processing time from server to client takes an average time of 1.210 seconds.
Pelatihan Teknologi Drone untuk Pemetaan Pertanian Berkelanjutan Kelompok Tani Kemiri Santoso Desa Kalibaru Manis Arief, M. Habibullah; Segara, Akbar Pandu; Kartiko, Erik Yohan; Maududie, Achmad; Auliya, Yudha Alif; El Maidah, Nova; Swasono, Dwiretno Istiyadi
Abdimas Indonesian Journal Vol. 4 No. 2 (2024)
Publisher : Civiliza Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59525/aij.v4i2.533

Abstract

This community service program aims to overcome the low efficiency of agricultural land management in Kalibaru Manis Village, Banyuwangi, by focusing on increasing farmers' knowledge in utilizing drone technology for mapping. This training provides theory and practice of drone operation and processing aerial image data using Geographic Information System (GIS) software. The implementation method includes preparation, training, and evaluation stages. Participants were trained to operate drones, retrieve image data, and analyze it to produce land maps. A collaborative approach between lecturers, students, and practitioners was applied to ensure the success of the program. As a result, participants are able to use drones independently and utilize the data for more effective land management. This program increases agricultural productivity and supports environmental sustainability through the application of modern technology.
Perbandingan Performa Algoritma Random Tree, K-NN, dan A-NN untuk Deteksi Serangan DDoS pada Software Defined Network (SDN) Akbar Pandu Segara; Muhammad Andryan Wahyu Saputra; Narandha Arya Ranggianto
JSAI (Journal Scientific and Applied Informatics) Vol 8 No 2 (2025): Juni
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v8i2.8387

Abstract

Software-Defined Networks (SDNs) with a centralized architecture are vulnerable to Distributed Denial of Service (DDoS) attacks, which can cause widespread network service failures. This study aims to compare the performance of three Machine Learning algorithms—K-Nearest Neighbor (K-NN), Artificial Neural Network (ANN), and Random Tree—in detecting DDoS attacks in an SDN environment. The DDoS-SDN dataset, consisting of 104,345 rows and 23 columns, was used with a data split of 70% for training and 30% for testing. Evaluation was conducted using accuracy, precision, recall, F1-score, and AUC-ROC metrics. The results showed that ANN achieved the best performance with an accuracy of 96.85%, precision of 94.35%, recall of 97.79%, F1-score of 96.04%, and AUC of 0.994, followed by K-NN with an accuracy of 88.89% and Random Tree with the lowest accuracy of 86.49%. The superiority of ANN is attributed to its ability to capture complex non-linear patterns, perform automatic feature extraction, and adapt to the heterogeneity of data from the 22 features used. These findings indicate that ANN is the optimal choice for implementing a real-time DDoS attack detection system in an SDN environment, providing a strong foundation for the development of intelligent and adaptive Machine Learning-based network security systems
Pembinaan Olimpiade Sains Nasional Informatika di SMAN 2 dan SMAN 1 Jember Rizky Alfanio Atmoko; Muhammad Andryan Wahyu Saputra; Damar Novtahaning; Narandha Arya Ranggianto; Erik Yohan Kartiko; Akbar Pandu Segara; M. Habibullah Arief
Jurnal Transformasi Digital Masyarakat (DIGIMAS) Vol. 1 No. 2 (2025): DIGIMAS: Transformasi Digital Masyarakat
Publisher : Fakultas Ilmu Komputer, Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/digimas.v1i2.5736

Abstract

Program "Pembinaan OLIMPIADE SAINS NASIONAL (OSN) di SMAN 2 dan SMAN 1 Jember" dirancang untuk meningkatkan kompetensi siswa dalam bidang Informatika melalui pelatihan intensif tatap muka di Fakultas Ilmu Komputer Universitas Jember (UNEJ) dan di lingkungan sekolah. Kegiatan mingguan ini berfokus pada penguasaan algoritma, pemrograman, dan logika, dilengkapi evaluasi berkala berupa latihan soal, tes, dan simulasi kompetisi. Sasaran utamanya adalah siswa berpotensi dari kedua sekolah yang dipersiapkan untuk OSN tingkat nasional. Dampak yang diharapkan mencakup peningkatan prestasi siswa, penguatan mental kompetitif, serta kontribusi terhadap pengembangan reputasi akademik sekolah. Manfaat ini juga dirasakan oleh guru pendamping, sekaligus memperkaya sumber belajar di SMAN 2 dan SMAN 1 Jember.
Pembinaan Olimpiade Sains Nasional Informatika Tingkat Provinsi di SMAN 1 Jember Rizky Alfanio Atmoko; Narandha Arya Ranggianto; M. Habibullah Arief; Damar Novtahaning; Erik Yohan Kartiko; Akbar Pandu Segara; Muhammad Andryan Wahyu Saputra
Jurnal Transformasi Digital Masyarakat (DIGIMAS) Vol. 1 No. 3 (2025): DIGIMAS: Transformasi Digital Masyarakat
Publisher : Fakultas Ilmu Komputer, Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/digimas.v1i3.6376

Abstract

Olimpiade Sains Nasional (OSN) Informatika merupakan salah satu upaya strategis dalam mempersiapkan siswa menghadapi kompetisi akademik berskala nasional. Kegiatan pengabdian kepada masyarakat ini dilaksanakan sebagai program lanjutan dari pembinaan OSN tingkat kabupaten/kota yang sebelumnya berhasil meloloskan seorang siswa SMAN 1 Jember bernama Firdaus ke seleksi tingkat provinsi Jawa Timur. Fokus kegiatan adalah memberikan pendalaman materi pemrograman lanjutan, struktur data, dan algoritma melalui metode tatap muka, latihan soal intensif, diskusi interaktif, serta simulasi kompetisi. Hasil kegiatan menunjukkan adanya peningkatan pemahaman konsep algoritmik, keterampilan pemrograman, serta kepercayaan diri siswa dalam menghadapi soal setingkat provinsi. Program ini berhasil mendukung Firdaus untuk berkompetisi pada OSN tingkat provinsi, sekaligus menjadi motivasi bagi siswa lain di SMAN 1 Jember untuk berprestasi dalam bidang informatika.
IMPLEMENTATION OF JOHNSON'S SHORTEST PATH ALGORITHM FOR ROUTE DISCOVERY MECHANISM ON SOFTWARE DEFINED NETWORK Akbar Pandu Segara; Royyana Muslim Ijtihadie; Tohari Ahmad
JUTI: Jurnal Ilmiah Teknologi Informasi Vol. 19, No. 1, Januari 2021
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j24068535.v19i1.a1011

Abstract

Software Defined Network is a network architecture with a new paradigm which consists of a control plane that is placed separately from the data plane. All forms of computer network behavior are controlled by the control plane. Meanwhile the data plane consisting of a router or switch becomes a device for packet forwarding. With a centralized control plane model, SDN is very vulnerable to congestion because of the one-to-many communication model. There are several mechanisms for congestion control on SDNs, one of which is modifying packets by reducing the size of packets sent. But this is considered less effective because the time required will be longer because the number of packets sent is less. This requires that network administrators must be able to configure a network with certain routing protocols and algorithms. Johnson's algorithm is used in determining the route for packet forwarding, with the nature of the all-pair shortest path that can be applied to SDN to determine through which route the packet will be forwarded by comparing all nodes that are on the network. The results of the Johnson algorithm's latency and throughput with the comparison algorithm show good results and the comparison of the Johnson algorithm's trial results is still superior. The response time results of the Johnson algorithm when first performing a route search are faster than the conventional OSPF algorithm due to the characteristics of the all pair shortest path algorithm which determines the shortest route by comparing all pairs of nodes on the network.
Procedural Content Generation pada Level Gim Sokoban Menggunakan Model Hybrid GPT2 dan Algoritma Genetika Narandha Arya Ranggianto; Akbar Pandu Segara; Dwi Wijonarko; Anang Andrianto; M. Habibullah Arief
REMIK: Riset dan E-Jurnal Manajemen Informatika Komputer Vol. 9 No. 3 (2025): Volume 9 Nomor 3 Agustus 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/remik.v9i3.15188

Abstract

Procedural Content Generation (PCG) yang berfokus pada level menjadi poin penting dalam mempengaruhi pengalaman pengguna dalam bermain gim. Salah satu gim puzzle khususnya Sokoban dapat diterapkan untuk pembangunan level secara otomatis karena dapat direpresentasikan secara sederhana. Dataset Sokoban biasanya direpresentasikan ke dalam string ASCII yang terdiri dari pemain (@), dinding (#), kotak ($), dan tujuan (.). Hal ini menjadikan level Sokoban dapat dikembangkan menggunakan dua pendekatan yaitu berbasis pencarian dan machine learning. Metode pencarian memiliki kelebihan dalam mengeksplorasi sebuah level yang playable namun menghasilkan level yang sama. Sedangkan pada pendekatan machine learning data digunakan untuk melakukan training dengan pola-pola tertentu sehingga memberikan kemampuan membangun level yang bervariatif. Kekurangan data dalam level gim menjadikan pendekatan fine-tuning GPT2 lebih unggul untuk digunakan dalam pembangunan level. Namun, karakteristik data yang tidak memiliki koherensi yang baik pada level Sokoban menjadikan GPT2 tidak dapat membangun level yang playable. Model Hybrid GPT2 dan Algoritma Genetika (GPT2-GA) dimana nilai penggabungan ini akan memberikan hasil yang optimal. Evaluasi untuk mengukur accuracy, playability, dan diversity yang menunjukkan performa lebih unggul dibandingkan GPT2. Model GPT2-GA menunjukkan hasil peningkatan accuracy dari 81,9% menjadi 90,1%, playability dari 41,3% menjadi 62,8%, dan diversity dari 88,2% menjadi 97,5%. Pendekatan model ini berhasil mengatasi kelemahan model generatif GPT2 dalam menghasilkan level yang fungsional dengan mempertahankan level yang unik yang dapat diselesaikan.
Improving Tuna Chili Product Quality at KWT Larasati through Food Safety Education Febrianti, Riska Ayu; Mujayanah, Ani Rosa Putri Ayu; Segara, Akbar Pandu; Narulita, Erlia; Neliana, Intan Ria; Dliyauddin, Moh
Jurnal Medika: Medika in progres
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/smsftw11

Abstract

Food safety is a crucial aspect of small-scale processed food production, particularly for fish-based products such as tuna chili sauce, which are highly susceptible to contamination and quality deterioration. This community service program aimed to improve the knowledge and awareness of members of Kelompok Wanita Tani (KWT) Larasati regarding the application of food safety principles in tuna chili sauce production. The program was conducted in 2025 at the KWT Larasati production site using an educational and participatory approach, including food safety counseling, interactive discussions, and on-site mentoring and observation. The effectiveness of the program was evaluated using pre-test and post-test instruments to assess changes in participants’ knowledge levels, as well as an observation checklist based on Good Manufacturing Practices for small and micro food enterprises (Cara Produksi Pangan Olahan yang Baik/CPPOB) to evaluate hygiene and sanitation practices. Data were analyzed using descriptive quantitative methods by comparing mean pre-test and post-test scores, and qualitative descriptive analysis of field observations. The results showed a substantial increase in the average food safety knowledge score from 48 to 85 after the educational intervention. Initial improvements were also observed in several food safety practices, including workers’ personal hygiene, equipment cleanliness, production flow arrangement to reduce the risk of cross-contamination, and the completeness of basic product labeling information. Although the implementation of food safety principles has not yet been fully consistent, this program proved effective as an initial step in enhancing food safety awareness and encouraging improvements in production practices. This community service program is expected to serve as a foundation for strengthening the sustainable implementation of CPPOB to improve the quality, safety, and competitiveness of tuna chili products in small-scale food enterprises.
Co-Authors Achmad Maududie Anang Andrianto Atmoko, Rizky Damar Novtahaning Dliyauddin, Moh Dwi Wijonarko Dwiretno Istiyadi Swasono El Maidah, Nova Erlia Narulita Febrianti, Riska Ayu Kartiko, Erik Yohan M. Habibullah Arief Muhammad Andryan Wahyu Saputra Mujayanah, Ani Rosa Putri Ayu Narandha Arya Ranggianto Neliana, Intan Ria Rakhmadhany Primananda Royyana Muslim Ijtihadie Sabriansyah Rizqika Akbar Tohari Ahmad Yudha Alif Auliya, Yudha Alif