A Mobile Ad Hoc Network (MANET) protocol requires proper settings to perform data transmission optimally. To overcome this problem, it is necessary to select the correct routing protocol and use the routing protocol's default parameter values. This study examined the effect of route request parameters, such as RREQ_RETRIES and MAX_RREQ_TIMOUT, on the Ad Hoc On-demand Distance Vector (AODV) protocol, which was then compared with the default AODV performance Optimized Link State Routing (OLSR) protocols. The performance metrics used for measuring performance were Packet Delivery Ratio (PDR), throughput, delay, packet loss, energy consumption, and routing overhead. The results show that the OLSR protocol has a smaller delay than the AODV protocol, while in other measurements, the AODV protocol is better than OLSR. By reducing the combination value of RREQ_RETRIES, MAX_RREQ_TIMEOUT in AODV routing to (2, 10 s) and (3, 5 s), the protocol's performance can be improved. The two combinations result in an average increase in throughput performance of 3.09%, a decrease in delay of 17.7%, a decrease in packet loss of 27.15%, and an increase in PDR of 4.8%. For variations in the speed of movement of nodes, 20 m/s has the best performance, while 5 m/s has the worst performance.

Claroline merupakan salah satu sistem eLearning untuk manajemen pelatihan (Course Management System). Pembelajaran kolaboratif dengan sistem eLearning dapat dilakukandengan memanfaatkan Claroline. Metode pembelajaran kolaboratif berbantuan komputer atauweb sering disebut sebagai Computer-Supported Collaborative Learning (CSCL). Metode inibertujuan sebagai wadah untuk mendukung suatu kelompok pelajar dalam belajar bersamasecara efektif dengan cara berbagi informasi dan mendiskusikan masalah yang diberikan.Konsep konstruktivisme dapat diterapkan dalam sistem ini dengan memberikan perlakuan(treatment) topik yang sesuai kemudian dilakukan Pretest dan Posttest. Pretest untuk mengukurpengetahuan awal (prior knowledge) pelajar yang diklasifikasikan ke dalam level belajar (level 1hingga 4) dan Posttest untuk mengukur tingkat pencapaian hasil belajar. Pengujian dilakukan diJurusan Teknik Informatika AMIKOM Mataram untuk topik Software Requirements padaperkuliahan Rekayasa Perangkat Lunak. Hasil pengujian pada 30 mahasiswa didapatkan nilairata-rata Pretest sebesar 4,68 dan nilai rata-rata Posttest sebesar 8,12. Hasil evaluasi sistemdengan Kuesioner Pemakaian (Usability Questionnaire) menyatakan sebagian besar penggunaSCK setuju adanya sistem ini dengan rata-rata setuju sebesar 84,42 %. Dan hasil uji reliabilitasinstrumen Kuesioner Pemakaian didapatkan koefisien reliabilitas (Cronbach) sebesar 0,57.

The smart home system is a widely used reference term for a system of controlling, monitoring, and home automation functions. The electrical devices can be controlled by a switch, timer, sensor or remote control. Among the existing wireless technologies, Bluetooth has the advantages of low cost, fast transfer rates, and real-time application capabilities. In this paper, we proposed a method for implementing real-time smart home systems using the Android Bluetooth Control Device (ABCD) module. The ABCD module is used to control 8 pieces of home electric devices. The module uses a Bluetooth connection that has a maximum distance of an average of 10.37 m. The test results with three conditions found that the plastic barrier on the Bluetooth transmitter can affect the maximum distance of the success of data transmission. With the architecture offered, this smart home system can be accessed remotely via the internet.

Perkembangan teknologi Internet of Things (IoT) telah membuka peluang baru dalam pemantauan lingkungan, salah satunya melalui pemanfaatan mikrokontroler sebagai inti dari sistem IoT. Artikel ini mengkaji peran mikrokontroler, terutama ESP32, dalam pengembangan aplikasi IoT untuk monitoring lingkungan, dengan fokus pada pengumpulan data real-time terkait parameter seperti suhu, kelembapan, kualitas udara, dan polusi suara. Mikrokontroler menawarkan efisiensi daya, konektivitas nirkabel, serta biaya rendah yang memungkinkan penerapannya di lokasi terpencil atau tanpa sumber daya listrik langsung. Sistem IoT yang dibangun menggunakan mikrokontroler ini mampu memberikan akurasi yang lebih tinggi dalam pemantauan kondisi lingkungan dibandingkan metode konvensional, serta meningkatkan respons terhadap perubahan kondisi yang cepat. Meskipun demikian, penerapan mikrokontroler menghadapi beberapa tantangan, seperti keterbatasan daya pemrosesan dan kapasitas penyimpanan, serta ketahanan perangkat terhadap kondisi lingkungan yang ekstrem. Selain itu, masalah keamanan data juga menjadi perhatian, mengingat rentannya perangkat IoT terhadap serangan siber. Meskipun demikian, prospek pengembangan sistem IoT berbasis mikrokontroler sangat cerah dengan kemajuan teknologi seperti 5G, edge computing, dan machine learning yang dapat meningkatkan efisiensi dan kemampuan analisis data secara real-time. Integrasi dengan teknologi blockchain juga dapat meningkatkan keamanan dan integritas data. Teknologi IoT berbasis mikrokontroler berpotensi besar dalam membantu pengelolaan lingkungan dan sumber daya alam secara efisien dan berkelanjutan.

This study was carried out aimed at improving student learning outcomes in Computer Assembling subjects in the subject matter and Troubleshooting BIOS configuration concepts in class X TKJ 1 SMK Negeri 3 State through problem-based learning model (Problem Based Learning). This type of research is action research class (class action research) carried out in 2 cycles, the first cycle consists of 3 meetings as well as to the second cycle. Subjects in this study were students of class X TKJ 1 SMK Negeri 3 countries totaling 34 people. The object of this research is student learning outcomes by implementing problem-based learning model (Problem Based Learning). The necessary data obtained using the method in the form of a multiplechoice test (Multiple Choice). Achievement test cycle I and cycle II as many as 20 items. Based on the analysis of data on learning outcomes in Computer Assembling subjects in the first cycle obtained an average percentage of student learning outcomes in classical amounted 55.88%. In the second cycle the average percentage of student learning outcomes in classical amounted 85.29%. The results showed an increase from cycle I to cycle II of 29.4%. Thus, the conclusions of this study an increase in student learning outcomes through the application of problem-based learning model (Problem Based Learning).