Forecasting JPFA Share Price using Long Short Term Memory Neural Network

To invest or buy and sell on the stock exchange requires understanding in the field of data analysis. The movement of the curve in the stock market is very dynamic, so it requires data modeling to predict stock prices in order to get prices with a high degree of accuracy. Machine Learning currently has a good level of accuracy in processing and predicting data. In this study, we modeled data using the Long-Short Term Memory (LSTM) algorithm to predict the stock price of a company called Japfa Comfeed. The main objective of this journal is to analyze the level of accuracy of Machine Learning algorithms in predicting stock price data and to analyze the number of epochs in forming an optimal model. The results of our research show that the LSTM algorithm has a good level of accurate prediction shown in mape values and the data model obtained on variations in epochs values. All optimization models show that the higher the epoch value, the lower the loss value. Adam's Optimization Model is the model with the highest accuracy value of 98.44%

LORAWAN GATEWAY PLANNING USING AS923-2 FREQUENCY IN TASIKMALAYA FOR MONITORING ODC

This study aims to design a LoRaWAN network and find out how many gateways are needed to cover the research area and to design an IoT-based monitoring system for ODC devices on the FTTH network based on data at PT. Telkom Witel Tasikmalaya. The method used is a simulation using Atoll software version 3.40 and several calculation stages to predict the parameters of RSSI (Received Signal Strength Indicator) and SINR (Signal to Interference Noise Ratio) in a planning area of ​​358.66 km2. This study using AS923 frequency with a bandwidth of 125 kHz and a Spreading factor of 10. The results obtained are signal strength (RSSI) and signal quality (SINR) parameters. Based on the results of calculations and planning simulations, it produces 20 gateways using SF 10 with an RSSI parameter of -69.53 dBm and a SINR parameter of 20.21 dBm, each gateway can cover 4-5 km2 in the planning area

LoRaWAN Network Planning for ODP Door Monitoring in Banyumas Districts

This study aims to design a LoRaWAN network on the coverage side to find out how many gateways are needed and to design an IoT-based monitoring system at ODC doors to minimize damage due to vandalism or forced opening. The method used is a simulation using Atoll software version 3.40 and several stages of calculations to predict signal strength and quality in the Banyumas Regency area. This study uses a frequency of 920 MHz with a bandwidth of 125 kHz and a Spreading factor of 1 to 12. The results obtained are a comparison of the number of gateways, signal strength and signal quality based on variations in the spreading factor. SF 7 produces 104 gateways with a signal strength of -71.88 dBm and a signal quality of 9.43 dBm. spreading factor. SF 12 produces 48 gateways with a signal strength of -79.8 dBm and a signal quality of 10.78 dBm. The larger the SF used will improve signal quality but reduce signal strength and also fewer gateways

Analisis Hasil Pengukuran Performansi Jaringan 4G LTE 1800 MHz di Area Sokaraja Tengah Kota Purwokerto Menggunakan Genex Asistant Versi 3.18

Lahirnya Teknologi 4G LTE dengan segala kelebihan yang di janjikan dibanding dengan teknologi sebelumnya telah membawa kita ke era komunikasi data perangkat bergerak yang super cepat. Untuk mengetahui seberapa besar perkembangan teknologi LTE saat ini. Maka, dilakukanlah penelitian terhadap performansi mobile internet di wilayah sokaraja tengah Yaitu dengan cara membandingkan RSRP, SINR, RSRQ dan Troughput dengan KPI Teori dan KPI Telkomsel Tujuan yang ingin dicapai dalam penelitian ini adalah untuk mengetahui performansi sinyal 4G LTE operator Telkomsel dengan metode drive test menggunakan aplikasi Genex Probe di area Sokaraja Tengah, Purwokerto, Jawa Tengah. Performansi sinyal 4G LTE diukur dengan drive test Dedicated Mode, dengan membuat sebuah Test Plan pengguna melakukan Streaming video. kemudian hasil dari drive test dianalisis menggunakan foftware genex asistant. Hasil dari analisis kualitas kekuatan sinyal 4G LTE secara keseluruhan menunjukkan kualitas provider Telkomsel di area Sokaraja tengah, Purwokerto memiliki performansi jaringan 4G LTE yang bagus dengan nilai lebih dari 90 % hasil pengukuran berada di rentang nilai 0 – (-90) (dBm) , nilai SINR normal  lebih dari 85% hasil pengukuran berada di rentang 1– 15 (dB), dan nilai dari RSRQ memiliki performasi yang bagus dengan persentase 99% berada pada rentang bagus dan mendapatkan rata- rata Troughput Uplink 2575 Kbps dan Downlink 1530 KbpsThe implementation of 4G LTE network and its advantages gave us faster speed of mobile network. We need to know the performance of LTE mobile network in Sokaraja Tengah – Indonesia, which deployed by Telkomsel network provider by comparing its  RSRP, SINR, RSRQ, and throughput using drive test method of Genex Probe. Signal performance was measured by drive test dedicated mode on the streamed videos and analyzed with Genex Assistant. The result shows that generally Telkomsel’s 4G LTE network in Sokaraja Tengah has 99.7% of (-70) – (-90) dBm RSRP value, 85.09% of 1-15 SINR value, 99.23% of (-15)-0 dBm RSRQ value, average uplink 2575 kbps and downlink 1530 kbps of throughput

LoRaWAN for Smart Street Lighting Solution in Pangandaran Regency

Smart street lighting is a key application in smart cities, enabling the monitoring and control of street lamps through internet connectivity. LoRa/LoRaWAN, an IoT technology, offers advantages such as low power consumption, cost-effectiveness, and a wide area network. With its extensive coverage of up to 15 kilometers and easy deployment, LoRa has become a favored connectivity option for IoT use cases. This study explores the utilization of LoRaWAN in Pangandaran, a regency in the West Java province of Indonesia. Implementing LoRaWAN in this context has resulted in several benefits, including the ability to monitor and control street lighting in specific areas of Pangandaran and real-time recording of energy consumption. The primary objective of this research is to estimate the number of LoRaWAN gateways required to support smart street lighting in Pangandaran. Two methods are employed: coverage calculation using the free space loss approach and capacity calculation. The coverage calculation suggests a requirement of 34 gateways, whereas the capacity calculation indicates that only two gateways are needed. Based on these findings, it can be inferred that, theoretically, a maximum of 34 gateways would be necessary for smart street lighting in the Pangandaran area. However, further research, including driving tests, is recommended to validate these results for future implementation. This study provides insights into the practical application of LoRaWAN technology in smart street lighting, specifically in Pangandaran. The findings contribute to optimizing infrastructure and resource allocation, ultimately enhancing the efficiency and effectiveness of urban lighting systems.

IMPLEMENTATION AND ANALYSIS OF THE INTERNET OF THINGS SYSTEM FOR ELECTRICAL ENERGY MONITORING AT INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Measurement of electric power usage is carried out using simple measuring instruments and the recording is still manual so that the data obtained is not real-time and accurate. This research aims to implement an electrical energy monitoring system using the Internet of Things (IoT) to obtain real-time information related to electrical energy in the education industry. This research uses an Industrial Grade Power Meter to get a more accurate measurement value. To connect the Power Meter device with the IoT system, this research uses Modbus RS485 communication and a mini PC to process data from the meter, so that the data can be sent to a server using the MQTT communication protocol, and displayed on the Dashboard. The test results of this study indicate that the monitoring system can be implemented and the system runs well with end-to-end measurement results. From the measurement results, the current value (3 phase average) has an average deviation of 0.001 Amperes, Voltage (3 phase average) has an average deviation of 0.519 V, Power factor has an average deviation of 0.012, Active power has a deviation average of 0.000 kW, reactive power with an average deviation of 0.000 kVAR, apparent power with an average deviation of 0.000 kVA and frequency with an average deviation of 0.124 Hz. Then the MQTT protocol has a quality of service with index 4 based on TIPHON standardization on delay, throughput, and packet loss parameters, and index 3 based on TIPHON standardization on jitter parameters

LoRaWAN: Solution for Monitoring Differential Pressure Room in Pharmaceutical Industry

The air conditioning system is a process continuous air control of air temperature, air humidity, air cleanliness, air quality, speed indoor air, air distribution evenly throughout the room as well control the noise that can caused by the air conditioning equipment itself according to the needs and conditions wanted especially in drug factories. In This research we use IoT Technologi to provide system to monitoring Differential Pressure room in Pharmaceutical room based on LoRaWAN. LoRaWAN is one of the LPWAN technologies which also provides a wide range of coverage, low power, and low cost in the implementation. The result of this study are very satisfactory, it can be seen that the results of the LoRaWAN implementation are very good with an indication of the worst RSSI value of -91 dbm and an error value on the Differential Pressure sensor device of 0.65 Pascal