Pengabdian Dosen dan Mahasiswa di Sekolah Dasar Negeri 3 Wates dengan Memberikan Metode Belajar Hybrid Learning berbasis Animasi Pembelajaran

Minat Belajar anak-anak sekolah menurun saat terjadinya pandemic Covid-19, dengan system belajar dirumah, memaksa Guru harus pandai dalam mengatur waktu dan tema belajar, yang sebenarnya masih statis menggunakan Microsoft Powerpoint, sehingga menyebabkan rasa bosan jika berlama-lama belajar melalui zoom dengan Powerpoint. Sehingga dengan penelitian ini diharapkan mampu mengatasi masalah penurunan minat belajar siswa sekolah dasar, yaitu dengan membuat animasi pembelajaran, Salah satu modifikasi belajar adalah penggunaan media animasi 2D dan 3D untuk membangkitkan semangat belajar anak-anak di SD Negeri 3 Wates, Tulungagung. Jika dilihat dari hasil Pre-test anak-anak SD Negeri 3 Wates didapatkan bahwa terdapat kenaikan nilai Pre-test atau kuis pada nilai Matematika dan Nilai IPA jika digunakan Animasi Pembelajaran. Dari hasil menunjukkan bahwa untuk kuis matematika perbedaan antara kuis dari menggunakan animasi dan tidak adalah 16,88, sedangkan untuk kuis IPA adalah 17,3. Dengan adanya research ini dapat menjadi bahan pertimbangan untuk dapat menjadi salah satu solusi terbaik untuk mendampingi anak-anak dalam belajar khususnya di SD Negeri 3 Wates kecamatan campurdarat, tulungagung

Pemberdayaan Kepatuhan Wajib Pajak Perorangan, Perhitungan Dan SPT Tahunan Secara E-Filling

Setiap orang pribadi yang sudah memenuhi dua unsur yaitu memiliki kewajiban pajak secara subjektif dan kewajiban pajak secara objektif. Maka memiliki kewajiban untuk melakukan pelaporan SPT Tahunan Orang Pribadi berdasarkan sistem “selft assessment” apabila sudah memiliki Kartu NPWP.  Dengan perkembangan kemajuan zaman di era digitalisasi, maka sistem pelaporan yang sebelumnya hanya bersifat manual, kini telah beralih ke sistem digital. Sehingga setiap wajib pajak akan dipermudah dalam pelaporan perpajakan melalui sistem “efilling” dalam laman website Direktorat Jenderal Pajak (DJP). Permasalahan yang terjadi karena kurangnya pemahaman masyarakat khususnya mitra dalam pengetahuan perpajakan dan pelaporan pajak dan juga penggunaan sistem elektronik. Tujuan sosialisasi ini agar masyarakat sebagai wajib pajak orang pribadi memahami penggunaan e-filling yaitu penyampaian SPT secara elektronik, karena dengan pelaporan secara sistem digital akan mempermudah wajib pajak dengan SPT dilakukan secara online dan real time. Pengabdian masyarakat ini menggunakan metode pemberdayaan dan sosialisasi dan pelatihan bagi para karyawan dan dosen juga dilakukan pendampingan. Hasil kegiatan ini membuktikan adanya perubahan pemahaman yang baik dan pengetahuan bagi peserta PPM, yang awalnya tidak mengerti menjadi mengerti mengenai kewajiban perpajakan bagi orang pribadi dimulai dari menghitung, mengisi SPT sampai dengan melaporkannya melalui e-filling

Sistem Pemantauan Cerdas untuk Pertanian Berbasis Teknologi Internet of Things

Riset ini membahas, menganalisis, dan memberikan solusi terhadap produktivitas pertanian di Indonesia menggunakan teknologi Internet of Things (IoT). Penggunaan teknologi IoT dapat dijumpai pada sistem perairan atau irigasi pada area pertanian seperti cabe, tomat, bawang merah, bawang putih, bahkan padi. Teknologi IoT yang dibangun menggunakan pendekatan teknologi Radio Frekuensi Long-Range (LoRa) atau disebut dengan LoRaWAN. Pada riset ini dilakukan juga pengembangan dan integrasi dengan devices lain seperti RaspBerry Pi 4 dan ESP-WROOM 32 untuk kebutuhan upload data sensor ke server. Adapun sensor yang digunakan pada riset ini antara lain adalah pH tanah, pH air, turbidity, suhu dan kelembaban, dan soil moisture sensor. Dari data-data multi-sensor ini akan dikembangkan suatu metode yang membuat pengiriman data menjadi teratur dan tidak terjadi tabrakan data dengan berbagai metode seperti Adaptive Data Rate (ADR) dan Listen Before Talk (LBT) LoRaWAN. Tujuan riset ini adalah menghasilkan suatu teknologi yang dapat membantu peningkatan produktivitas petani dan menghasilkan suatu prototype yang dapat diuji dan dikembangkan, serta mampu memberikan early warning jika terjadi ketidaksesuaian dari sisi environment

Performance Evaluation of LoRa 915 MHz for Health Monitoring with Adaptive Data Rate

One of the problem factors in transmitting LoRa data using a small bit rate (bytes) of a maximum of 125 kbps is the amount of packet loss. This is because many end nodes send data to the server simultaneously; transmitting data effectively needs to be done because this is a major thing. So one mechanism that can be done is to use the Adaptive Data Rate method on the LoRa module. This research discusses the Adaptive Data Rate shown explicitly by the way it works and the effect it gives if ADR is applied to transmitting LoRa data. And how much influence on packet Loss (bytes). Adaptive Data Rate on LoRa Transmission is essential for regulating power on LoRa in terms of battery power saving; LoRa runs in UHF, which is in the 300 MHz-3 GHz range; LoRa in this research works at 915 MHz-920 MHz depending on the type of devices used. LoRa works with power or supply voltage of 2.1- 3.6 Volt DC, high sleep currents between 7.66 A up to 34 mA; in this research, LoRa is M2M between LoRa Transmitter and Receiver, which communicate alternately in sending sensor data with the delay method used for monitoring human health such as Pulse sensors, ECG sensors, and other sensors and these sensors' data is displayed in realtime using Thingspeak Application Server

Development Education of Blind Adaptive Data Rate LoRaWAN Network on Mobile Node

Adaptive Data Rate is one of the essential mechanisms that continue to be developed for LoRaWAN. Adaptive Data Rate (ADR) is one of the mechanisms for saving energy and bit-rate efficiency of LoRaWAN. Using ADR is expected to increase throughput (bps) and minimize packet loss (bps), packets can be lost during data collisions, LoRaWAN networks are formed from several end-nodes that are connected to each other, can reach 100 nodes, and this causes collisions data if no settings are made with ADR. ADR talks about scheduling and set other parameters. The ADR method was developed on mobile nodes, ADR can handle the node’s data rate condition in its movement, but this is also influenced by the distance (km). The farther the end-node is moving from its gateway, causing packet loss data can occur even in percentage (%) different. ADR development in the Blind ADR for mobile node includes Node-ADR and Net-ADR. from the experimental results of the estimation of battery usage (mAH), the average battery used in position 1 is 409 mAH, position 2 is 482 mAH, and position 3 is 992 mAH, this shows that the larger the SF, the greater the energy required

Design Human Object Detection Yolov4-Tiny Algorithm on ARM Cortex-A72 and A53

Currently, many object detection systems still use devices with large sizes, such as using PCs, as supporting devices, for object detection. This makes these devices challenging to use as a security system in public facilities based on human object detection. In contrast, many Mini PCs currently use ARM processors with high specifications. In this research, to detect human objects will use the Mini PC Nanopi M4V2 device that has a speed in processing with the support of CPU Dual-Core Cortex-A72 (up to 2.0 GHz) + Cortex A53 (Up to 2.0 GHz) and 4 Gb DDR4 Ram. In addition, for the human object detection system, the author uses the You Only Look Once (YOLO) method with the YoloV4-Tiny type, With these specifications and methods, the detection rate and FPS score are seen which are the feasibility values for use in detecting human objects. The simulation for human object recognition was carried out using recorded video, simulation obtained a detection rate of 0,9845 or 98% with FPS score of 3.81-5.55.  These results are the best when compared with the YOLOV4 and YOLOV5 models. With these results, it can be applied in various human detection applications and of course robustness testing is needed

Spreading Factor of IoT-LoRa Effect for Future Smart Agriculture

Agricultural Technology continues to grow rapidly, development towards IoT is currently increasingly widespread with the use of WiFi modules such as ESP32, 8266, or Node32, using the Blink GUI that is already available on Google Play, and monitoring systems that are currently being carried out such as tomatoes, chilies, even rice fields such as rice and shallots and garlic are still conventional, especially locations close to settlements will be very vulnerable to water pollution, namely the presence of household waste that can pollute agricultural water; specifically, this paper focuses on the Spreading Factor of LoRa, which is found at several points in agricultural locations, and the impact generated by the server, whether there is attenuation or packet data loss that causes small throughput. Research results found that on the spreading factor 7, the occupied Bandwidth is 130,676 kHz, while in SF 12, the occupied Bandwidth is 123,323 kHz. Research hopes that agricultural yields can be increased more than the conventional method, at least in balance with this method

LoRaWAN technology in irrigation channels in Batu Indonesia

Currently, agricultural technology or Farming development is increasingly sophisticated by applying LoRaWAN-based IoT technology, ignoring quality agricultural products. LoRaWAN used in this research uses Long-Range Frequency 915 MHz and 920 MHz. The case study in this research is a case of river water quality that enters agricultural land or irrigation in Temas, Batu City, where the river water has been contaminated by household waste. The prototype installed on this farm uses an Arduino and Dragino LoRa 915 MHz microcontroller as transceivers and input and output devices consisting of ultrasonic sensors and water pH sensors, and outputs such as Solenoid valves mounted on tub one and tub 2. In contrast, tub 3 is a unique tub for distributing water to agricultural land with normal water pH quality. In this research, real�time monitoring, especially on the conditions of water turbidity, water pH, and water level

Spreading Factor of IoT-LoRa Effect for Future Smart Agriculture

Agricultural Technology continues to grow rapidly, development towards IoT is currently increasingly widespread with the use of WiFi modules such as ESP32, 8266, or Node32, using the Blink GUI that is already available on Google Play, and monitoring systems that are currently being carried out such as tomatoes, chilies, even rice fields such as rice and shallots and garlic are still conventional, especially locations close to settlements will be very vulnerable to water pollution, namely the presence of household waste that can pollute agricultural water; specifically, this paper focuses on the Spreading Factor of LoRa, which is found at several points in agricultural locations, and the impact generated by the server, whether there is attenuation or packet data loss that causes small throughput. Research results found that on the spreading factor 7, the occupied Bandwidth is 130,676 kHz, while in SF 12, the occupied Bandwidth is 123,323 kHz. Research hopes that agricultural yields can be increased more than the conventional method, at least in balance with this method

Analisis Kelayakan Bisnis : dengan Pendekatan Aspek Keuangan dan Pasar

Buku ini membahas kinerja suatu perusahaan dilihat dari aspek keuangan, manajemen dan administrasi, serta operasional pasar sehingga dapat dianalisis secara spesifik level kinerjanya. Selain itu, buku ini juga membahas secara spesifik proses analisis suatu perusahaan sehingga dikatakan layak dalam menjalankan proses bisnis, melalui pendekatan kebijakan pemerintah atau perundang-undangan, yaitu Undang-Undang No. 23 Tahun 2014 tentang Kebijakan Pemerintah Daerah dan Undang-Undang No. 33 Tahun 2004 tentang Perimbangan Keuangan dengan Pemerintah Pusat dan Daerah Perundangan. Hal tersebut berlaku jika suatu perusahaan berada di lingkup atau memiliki relationship dengan pemerintah daerah atau Badan Usaha Milik Daerah (BUMD) yang menggunakan Anggaran Pendapatan Belanja Daerah (APBD), Badan Usaha Milik Negara (BUMN) yang menggunakan Anggaran Pendapatan Belanja Negara (APBN), serta pelaku bisnis dengan perusahaan swasta yang didirikan secara mandiri atau perorangan dalam skala kecil, menengah, maupun besar