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All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) International Conference on Engineering and Technology Development (ICETD) DINAMIKA DOTCOM Jurnal EECCIS Jurnal Teknologi Informasi dan Ilmu Komputer AGRIVITA, Journal of Agricultural Science International Journal of Advances in Intelligent Informatics JOIV : International Journal on Informatics Visualization Journal of Information Technology and Computer Science Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Journal of Robotics and Control (JRC)
Heru Nurwarsito
Universitas Brawijaya Malang
Aerospace Engineering Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Mechanical Engineering

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Analisis Dampak Serangan Blackhole dan Jellyfish terhadap Protokol Routing Ad-Hoc on Demand Distance Vector (AODV) dengan Model Mobilitas Random pada VANET Muhamad Alfarisi; Heru Nurwarsito
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 5 (2022): Mei 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

In this era, information technology is growing rapidly and applied to almost aspects of life, including transportation. One of the applied technologies is the Vehicular Ad-Hoc Network (VANET). VANET defines as a smart transportation system, where a vehicle communicates with other vehicles to exchange information and recognizes road conditions simultaneosly in real time. VANET network is an ad-hoc network that does not have a fixed infrastructure and a rapidly changing network topology. This makes VANET network security vulnerable to various attacks both from inside and outside the network. This paper is intended to explain several comparison analysis of the AODV routing protokol without any attacks, with Blackhole and Jellyfish attacks, and was carried out with various speed of the node, that contains 80, 100, 120, 150, 180, and 220 km/hour. This research is simulated using Network Simulator 2 to model the network and use random mobility on nodes. The analysis is reviewed by using QoS parameters, such as Packet Delivery Ratio, Throughput, and Delay. The results of the simulation shows that the scenario of changes in speed of the node affects the performance of the VANET network. In normal scenario without any attacks, the highest PDR value is 98.00%, the Throughput is 128.16 kbps and the Delay is 39.05 ms. In scenario with the Blackhole attacks, it shows the highest PDR value is 64.25%, the Throughput is 84.03 kbps and the Delay is 521.14 ms. Furthermore, there is a scenario with Jellyfish attack, the highest PDR value is 61.39%, Throughput is 80.28 kbps and Delay is 641.47 ms. This can be concluded that the addition of attacks on the AODV routing protokol can affect its performance, as evidenced by the decrease in QoS quality on the VANET network that has been built.
Sistem Monitoring Pengatur Suhu dan Kelembaban pada Kandang Jangkrik berbasis Internet of Things (Studi Kasus Budidaya Jangkrik Perorangan di Kabupaten Blitar) Andy Wiranto; Heru Nurwarsito
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 6 No 6 (2022): Juni 2022
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Unstable temperature and humidity are problems that are often faced by cricket farmers. However, cricket breeders still use manual methods to identify the environmental conditions of the cage. This requires a monitoring system that is able to regulate the temperature and humidity in the cricket cage, thus facilitating the process of monitoring and controlling the climate. The system is built using Internet of Things (IoT) technology. In the application of IoT, a communication protocol between entities is needed to exchange data. MQTT is a messaging communication protocol that requires low resources. Climate control uses a microcontroller that implements a detection algorithm on a system that is made capable of recognizing the environmental conditions of the cage using the MQTT protocol. Accuracy Data collection using sensors is 1.03% for the relative error of temperature measurement data and 0.47% for the relative error of humidity measurement data. The MQTT protocol has a performance with an average delay parameter value of 345 ms, and a packet loss of 0%.
Development of Microclimate Data Recorder on Coffee-Pine Agroforestry Using LoRaWAN and IoT Technology Nurwarsito, Heru; Suprayogo, Didik; Sakti, Setyawan P.; Prayogo, Cahyo; Oakley, Simon; Wibawa, Aji Prasetya; Adaby, Resnu Wahyu
Journal of Robotics and Control (JRC) Vol 5, No 1 (2024)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v5i1.20991

Abstract

Microclimate monitoring in agroforestry is very important to understand the complex interactions between vegetation, soil, and the environment. Microclimate parameters include air and soil temperature, air humidity, soil moisture, and light intensity. This research aims to develop a new microclimate data recording system for coffee-pine agroforestry, utilizing LoRaWAN and IoT technology to capture real-time microclimate parameters. Unlike traditional data loggers that require manual download on-site, this innovative system enables instant data download from IoT servers, thereby increasing data efficiency and accessibility. The system proved effective, significantly improving the precision of air temperature and humidity, as well as soil temperature measurements, with an average accuracy of 100%. However, soil moisture and light intensity recorded lower accuracies of 81.23% and 82.56%, respectively, indicating potential areas for future research and system refinement. The system maintains a 15-minute sampling period, aligning with conventional datalogger intervals. This represents an advancement in precision agriculture for microclimate monitoring, enabling the data to be utilized in decision-making for agroforestry management, which involves complex interactions between the local microclimate and the broader ecological system. It underscores the significance of sustainable land use as a response to global climate change.
Implementation of Lora and CoAP Protocol in Hydroponic Plant Water Pump Control Nurwarsito, Heru; Pradana, Kevin Dion Andre
Journal of Information Technology and Computer Science Vol. 8 No. 3: December 2023
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jitecs.202383571

Abstract

Hydroponics is the cultivation of plants without using soil media, but using water media that contains nutrients and minerals. To observe the growth parameters of hydroponic plants, it is still necessary to come directly to the hydroponic site and provide the nutrients needed manually. In time efficiency, the use of Internet of Things (IoT) is needed so that there is no need to come directly to the hydroponic site. LoRa is a Low Power Wide Area Network (LPWAN) communication system. This research uses sensor nodes, middleware, and client nodes as well as the Constrained Application Protocol (CoAP) protocol for clients to access the value of sensors to control automatic pumps so that nutrients for plants can be given directly without the need to come to the hydroponic site. The result of the implementation is that the water pump control can run properly until the plants can be harvested. The performance testing is done so that LoRa can transmit data at a distance of 1 km with an RSSI value of -114 dBm.
Implementasi Protokol LoRa pada Monitoring Tanda Vital Pasien Bergerak Aprino, Dani; Nurwarsito, Heru
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 7 No 9 (2023): September 2023
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Kesehatan merupakan hal terpenting yang ada di dalam tubuh manusia dan salah satunya adalah kesehatan fisik dimana dapat diukur secara fisiologis yaitu tanda-tanda vital. Monitoring tanda vital sangat penting untuk menilai kondisi kesehatan seseorang atau pasien. Untuk memonitoring tanda vital adalah dengan point to point sehingga pasien tidak diperkenankan untuk bergerak selama pemeriksaan karena dapat berakibat pada terputusnya koneksi dan tidak dapat dipantau dengan baik. Pada penelitian ini dibuat sistem yang dapat membantu tenaga medis dalam memantau tanda vital pasien meskipun berada di ruangan berbeda. Dalam kinerjanya sistem menggunakan mikrokontroler, sensor, dan protokol LoRa sebagai protokol komunikasi. Sensor digunakan untuk membaca nilai detak jantung dan suhu tubuh yang kemudian data dikirimkan oleh node sensor menuju node server yang dihubungkan oleh modul komunikasi LoRa. Hasil pembacaan nilai pada node server untuk menjadi nilai tanda vital pasien yang akan dipantau oleh tenaga medis pada aplikasi monitoring. Hasil dari penelitian menunjukkan bahwa node sensor sudah cukup bagus dalam pembacaan data detak jantung dan suhu tubuh dengan rata-rata error dalam pembacaan nilai detak jantung sebesar 3% sedangkan rata-rata error dalam pembacaan nilai suhu tubuh sebesar 8%. Selain itu, dalam proses pengiriman data berdasarkan pengujian dengan variasi jarak didapatkan kinerja optimal dimiliki oleh jarak 50 meter dengan rata-rata jeda waktu 0,502 detik dibandingkan jarak yang lebih jauh. Berdasarkan parameter QoS (packet loss, delay, dan jitter) didapatkan nilai atau kategori terbaik dimiliki oleh jarak 50 meter yang memiliki nilai packet loss sebesar 3%, nilai delay 26,15ms, dan nilai jitter 9,45ms sedangkan nilai terburuk dimiliki oleh jarak 300 meter yang memiliki nilai packet loss sebesar 49%, nilai delay 914,27ms, dan nilai jitter 913,5ms. Kinerja suatu sistem dengan memanfaatkan protokol komunikasi LoRa sangat berpengaruh terhadap besar jarak yang digunakan, nilai parameter QoS semakin menurun pada saat jarak yang digunakan semakin besar.
Penerapan Ethernet Over IP (EOIP) Tunnel dengan Protokol Open Shortest Path First (OSPF) pada Jaringan MAN Putra, Mahdiaffan Dwi; Nurwarsito, Heru
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 7 No 9 (2023): September 2023
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Metropolitan Area Network (MAN) merupakan jaringan antar Local Area Network (LAN) yang terpisahkan dengan lokasi yang cukup jauh, akan tetapi tetap dapat saling berkomunikasi melalui penggunaan protocol routing. Salah satu yang menggunakan jaringan MAN merupakan pada perusahaan penyedia Internet Service Provider (ISP) yaitu PT. Industri Kreatif Digital. Dalam jaringan MAN yang digunakan oleh PT. Industri Kreatif Digital ini masih menggunakan metode routing static dalam manajemen jaringan yang sudah tidak efisien dalam perbaikan dalam sebuah jaringan yang memerlukan waktu yang lama hingga 1 sampai 2 jam. Penelitian ini bertujuan untuk mengetahui dalam penggunaan EOIP dengan Protokol Open Shortest Path First (OSPF) memiliki pengaruh dalam meminimalisir waktu down pada jaringan yang bersifat Metropolitan Area Network (MAN) secara routing dynamic. Dalam penerapan penelitian ini dilakukan simulasi menggunakan GNS-3 sebagai perangkat lunak dan terdapat analisis sebagai peninjauan menggunakan pengujian PING dan Traceroute untuk mengetahui terhubungnya jaringan dan perpindahan jaringan. Adapula analisis dalam parameter QOS yaitu Delay dan Throughput. Hasil dari pengujian ini mnunjukan bahwa dalam menggunakan EOIP dengan Protokol OSPF dapat meminimalisir waktu down dengan routing scara dinamis. Pada saat jaringan terjadi down pergantian jaringan hanya terjadi rata-rata delay 1.021ms dengan throughput 4.97 Mb/sec.
Invigilator Examination Scheduling using Partial Random Injection and Adaptive Time Variant Genetic Algorithm Seisarrina, Maulidya Larasaty; Cholissodin, Imam; Nurwarsito, Heru
Journal of Information Technology and Computer Science Vol. 3 No. 2: November 2018
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (406.613 KB) | DOI: 10.25126/jitecs.20183250

Abstract

Abstract. Examination for every semester is a routine activity for faculties to do. Academic division of faculty responsible to make the schedule for every subject that is going to be tested, and prepare rooms for the test. Meanwhile, coordinators of invigilator committee responsible to make the schedule in FILKOM UB. This research focuses on scheduling the invigilator’s schedule in FILKOM UB. Scheduling with conventional method or manual takes much time because it needs to consider many rules on scheduling it. That is the reason why we need a system to schedule it. The purpose of making this system is to help the committee to schedule their invigilator’s time line. This research offers a concept of solution from using genetic algorithm. Genetic algorithm is an algorithm to find the optimum solution. The system of scheduling that use this genetic algorithm method can produce invigilator’s schedule that is having the least troubles on the arrangement. The data that is used in this research is the final test’s schedule of the odd semester in 2015/2016, lecturer and the employee’s data of FILKOM UB. The optimal genetic parameter that is obtained from the test consists of 900 population, 3000 generations, and a combination of crossover rate and mutation rate value which are 0,4 and 0,6. The system that is built in making this invigilator’s schedule is close to the optimum point with 0,877 fitness value.Keywords: scheduling, invigilator, partial random injection, adaptive time variant genetic algorithm.
Pengembangan Internet Of Things (IOT) Dalam Perekaman Data Iklim Mikro Dengan Platform Thingsboard Nurwarsito, Heru; Adaby, Resnu Wahyu
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 11 No 6: Desember 2024
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2024118987

Abstract

Tantangan terbesar pada sektor Pertanian di Indonesia adalah perubahan iklim. Adanya Perubahan iklim memicu perubahan lingkungan yang berimbas pada perubahan respons tanaman. Penelitian ini membahas Teknologi Internet of things (IoT) dalam perekaman data iklim mikro dengan thingsboard. Metode yang digunakan dalam penelitian ini adalah eksperimental dengan perancangan pada penelitian ini terdiri dari perancangan node sensor dan perancangan sistem perekaman dengan platform Thingsboard. Penelitian ini dilakukan dengan tujuh pengujian di antaranya pengujian konektivitas gateway dengan GSM, pengujian jarak dan kualitas sinyal, pengujian delay, pengujian daya tahan perangkat, pengujian integrasi The Things Network dengan Thingsboard, pengujian akurasi sensor dan kalibrasi, serta pengujian packet loss. Penelitian ini menemukan hasil Gateway memiliki jaringan GSM yang stabil sehingga Gateway mampu mengirimkan pembaruan status ke The Things Network dan mampu untuk menerima data yang ditransmisikan oleh node sensor. Selain itu, Pada perangkat LoRa diidentifikasi memiliki batas jangkauan sekitar 350 meter ke dalam UB Forest hal ini didukung dengan hasil dari pengujian kehilangan paket dengan hasil pada node LC dengan jarak 150 meter nilai kehilangan paket sebesar 4%, dan node BAU dengan jarak 200 meter hingga 300 m nilai kehilangan paket sebesar 8%. Penelitian ini juga menemukan bahwa integrasi antara The Things Network (TTN) dan Thingsboard pada sistem LoRa berhasil dilakukan tanpa kendala. Sistem juga memiliki poin plus yang ramah pengguna dan efektif untuk aplikasi pemantauan data iklim mikro. Penelitian ini juga melibatkan proses kalibrasi dengan menggunakan metode regresi untuk menunjukkan tingkat keberhasilan dan nilai akurasi dengan hasil hampir mendekati 100%.   Abstract The biggest challenge in the agricultural sector in Indonesia is climate change. Climate change triggers environmental changes that have an impact on changes in plant responses. This study discusses Internet of things (IoT) technology in recording microclimate data with Thingsboard. The method used in this study is experimental with the design in this study consisting of designing sensor nodes and designing a recording system with the Thingsboard platform. This research was conducted with seven tests including gateway connectivity testing with GSM, distance and signal quality testing, delay testing, device durability testing, The Things Network integration testing with Thingsboard, sensor accuracy and calibration testing, and packet loss testing. This research found that Gateway has a stable GSM network so that Gateway is able to send status updates to The Things Network and is able to receive data transmitted by sensor nodes. LoRa devices were identified as having a range limit of about 350 meters into UB Forest, this is supported by the results of packet loss testing with results on LC nodes with a distance of 150 meters packet loss value of 4%, and BAU nodes with a distance of 200 meters to 300 m packet loss value of 8%. This research also found that the integration between The Things Network (TTN) and Thingsboard on the LoRa system was successfully carried out without problems. The system also has plus points that are user-friendly and effective for microclimate data monitoring applications. This research also involves a calibration process using regression methods to show the success rate and accuracy value with results approaching 100%.
Enhancing Coffee Productivity and Carbon Stock in Agroforestry Systems Using the WaNuLCAS Model under Climate Change Nurwarsito, Heru; Suprayogo, Didik; Prayogo, Cahyo; Fitra, Ahmad Ali Yuddin
AGRIVITA Journal of Agricultural Science Vol 47, No 3 (2025)
Publisher : Faculty of Agriculture University of Brawijaya in collaboration with PERAGI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17503/agrivita.v47i3.4935

Abstract

The coffee-pine agroforestry model, where coffee is grown under shade trees, provides environmental benefits such as carbon sequestration and soil health improvement. However, maintaining carbon stocks over time is challenging due to climate change, which alters water and nutrient availability. Using the WaNuLCAS model, this study assessed system optimization under various climate scenarios, focusing on coffee yield, carbon stock, and biomass balance. The model simulates water and nitrogen cycling as well as coffee–pine interactions. The results showed that an increase in rainy season enhanced coffee growth, while applying Best Management Practice (BMP) led to a 44.64% higher coffee yield and a 4.52% increase in biomass production compared with the control. Conversely, low coffee (LC) with poor management increased carbon stock by 6.91% and biomass by 26.74%, the largest differences observed between treatments. This highlights trade-offs in land use performance. Previous studies mainly emphasized agroforestry’s contributions to carbon sequestration, biodiversity, and timber, with limited quantification of trade-offs between yield, carbon, and biomass under varying rainfall. By integrating site-specific calibration of the WaNuLCAS model, this study offers a novel approach showing how contrasting strategies (BMP vs. LC) differently optimize productivity and ecological services, guiding climate-resilient coffee agroforestry.
Predictive Analytics for Employability in Malaysian TVET with a Hybrid of Regression and Clustering Methods Mahdin, Hairulnizam; Nurwarsito, Heru; Baharum, Zirawani; Kamri, Khairol Anuar; Hassan, Azman; Haw, Su-Cheng; Arshad, Mohammad Syafwan
JOIV : International Journal on Informatics Visualization Vol 9, No 5 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.5.4516

Abstract

Graduate employability remains a high concern for Technical and Vocational Education and Training (TVET) institutions, particularly within Malaysia’s Technical University Network (MTUN), where producing industry-ready graduates is a central goal. While machine learning has transformed fields like healthcare and finance, its application in vocational education remains underexplored—particularly for employability prediction. This study addresses this gap by hybridizing decision trees and clustering to uncover non-linear patterns in student survey data. Guided by Human Capital Theory and SERVQUAL, which inform variable selection (e.g., technical skills as productivity investments), this study integrates multiple linear regression, decision tree regression, and K-Means clustering to identify significant predictors and uncover latent student groupings. Using a publicly available dataset of Likert-scale responses from MTUN students, technical skills and supervisory support consistently emerged as the most impactful employability predictors. Communication showed moderate influence, while training delivery and problem-solving exhibited variable effects depending on the modelling approach. Unlike regression, decision trees revealed non-linear interaction thresholds. For example, students with SVR < 3.5 and TS < 4.0 had 40% lower employability scores, suggesting targeted mentoring could yield disproportionate improvements. Clustering revealed three distinct student profiles, which could support data-driven interventions. This hybrid framework demonstrates the potential for integrating machine learning into institutional analytics for proactive support of employability.
Co-Authors Adaby, Resnu Wahyu Adhi Kurniawan Aidi Rahman Aji Prasetya Wibawa Alfrienza Tighfaraka Alifibioneri Ananda Adiyatma Putra Andy Wiranto Aprino, Dani Ardia Regita Pramesti ari kusyanti Armansyah Armansyah Arshad, Mohammad Syafwan Aryadna Nareindra Atiqo Tuzumah Baharum, Zirawani Barlian Henryranu P Barlian Henryranu Prasetio Bekti Widyaningsih Bintang Mada Suharsono Bisma Arie Yaqudsa Bisma Prasetya Cahyo Prayogo, Cahyo Cindy Zefira Afiani Denny Sagita Rusdianto Denny Sagita Rusdianto Desman Desman Devano Mirza Nugroho Didik Suprayogo Dwiki Ansarullah Ervani Sofyana Putra Fathul Hakim Fauzi, Muhammad Rifqi Fedro Jordie T. H. Simangunsong Fegi Eriyani Ferdi Cezano Santosa Fernanda Yerisha Hartinah Ridwan Firlhi Kurniawan Firstian Satya Yulihardi Fitra, Ahmad Ali Yuddin Galeh Prehandayana Getdra Saragih Sumbayak Guntur Wahyu Pamungkas Hairulnizam Mahdin, Hairulnizam Hassan, Azman Herdian Zend Komara I Putu Krisna Yoga Tanaya Imam Cholissodin Imam Cholissodin Kamri, Khairol Anuar Kasyful Amron Kharisma Fadillah Kuni Yustika Dewi M. Fatkur Rohman Made Widya Anjani Mahendra Data Mahendra Data Maulana Yoga Wiyananta Mirsha Akbar Muhamad Alfarisi Muhamad Romdoni Rachman Wijaya Muhammad Arhangga Satriawan Muhammad Isman Suga Muhammad Rizqi Fauzi Naufal Hilmi Ni Luh Irma Arini Niar Ariati Novanto Yudistira Nurul Azmi Nurul Hidayat Oakley, Simon Pradana, Kevin Dion Andre Pramukantoro, Eko Sakti Priyambadha, Bayu Purnomo Budi Santoso Purnomo Budi Santoso Putra, Mahdiaffan Dwi Putu Gede Sayoga Rakhmadhany Primananda Reynaldi Firman Tersianto Reza Andria Siregar Ricky Yohanes Ridwan Eko Prasetyo Rifqi Raditya Wibowo Rifqi Zumadilla Pratama Rika Yunitarini Riksa Suta Adji Riski Manta Simanjorang Rizal Fahturrizqi Salman Al Farizi Sandya Ratna Maruti Sarah Atemalem Octaviana Toruan Satrio Trimada Tarigan Seisarrina, Maulidya Larasaty Setyawan P. Sakti Setyawan Purnomo Sakti Shofura Naufal Rifiera Simarmata, Gilbert Jonathan Sindy Alvionita Su-Cheng Haw Sukron Alfa Dani Setiawan Tesa Putri Cendani Tyo Enos Revan Gultom Velient Vinandha Verio Brika Sejahtera Wayan Firdaus Mahmudy Widhi Yahya Wijaya Kurniawan Winda Silviana Yuli Wahyuni