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Buletin Ilmiah Sarjana Teknik Elektro
Published by Universitas Ahmad Dahlan
ISSN : 26857936     EISSN : 26859572     DOI : 10.12928
Core Subject : Engineering,
Electrical & Electronics Engineering
Buletin Ilmiah Sarjana Teknik Elektro (BISTE) adalah jurnal terbuka dan merupakan jurnal nasional yang dikelola oleh Program Studi Teknik Elektro, Fakultas Teknologi Industri, Universitas Ahmad Dahlan. BISTE merupakan Jurnal yang diperuntukkan untuk mahasiswa sarjana Teknik Elektro. Ruang lingkup yang diterima adalah bidang teknik elektro dengan konsentrasi Otomasi Industri meliputi Internet of Things (IoT), PLC, Scada, DCS, Sistem Kendali, Robotika, Kecerdasan Buatan, Pengolahan Sinyal, Pengolahan Citra, Mikrokontroller, Sistem Embedded, Sistem Tenaga Listrik, dan Power Elektronik. Jurnal ini bertujuan untuk menerbitkan penelitian mahasiswa dan berkontribusi dalam pengembangan ilmu pengetahuan dan teknologi.
Arjuna Subject : -
Articles 295 Documents
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An Overview of Artificial Intelligence (AI) in 6G: Types, Advantages, Challenges and Recent Applications Abdullah M. Al-Ansi; Ahmed Al-Ansi
Buletin Ilmiah Sarjana Teknik Elektro Vol. 5 No. 1 (2023): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v5i1.7603

Abstract

The world is on the cusp of a new communications revolution. The next generation of communication networks, known as 6G, will enable a wide range of new applications and services that are not possible with current 4G or 5G networks. In overview, we will review Artificial Intelligence (AI) Types, Advantages, challenges and some of the most promising applications of 6G technology. Some of the key applications that are being developed for 6G communication networks include Digital Twin (DT), Holograms, Robot Avatar, High Density (IoT), and AR & VR. The use of these applications in 6G communication networks is not a new concept, but integration to 6G will need more improvements. These applications have been around for some time now and have seen various improvements over the years. However, with the advent of 6G communication networks, the use of AR and VR is expected to see a drastic change. This paper contributes to the existing literature about the nature of 6G and applications to give more understanding and further discussion in potential and new trends.
A Comprehensive Simulation of PEV Penetration Impact on Residential Area Distribution Network Kevin Gausultan Hadith Mangunkusumo; Joko Hartono
Buletin Ilmiah Sarjana Teknik Elektro Vol. 5 No. 1 (2023): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v5i1.7748

Abstract

Nowadays, rapid growth of electric vehicles is one of the breakthroughs for the future. Electrical utility with first stage of EV ecosystem adoption has to prepare for the impact of high demand of PEV penetration especially in residential area. High number of private charging points in residential area is a big future demand that needs to be considered. This study aims to create a comprehensive model of electric vehicle charging penetration impact in residential area with the worst possible conditions and specific data in Indonesia. Thus the grid operator can prepare for the future impact of the PEV charging in residential area. PEV charging profile and real residential load profile in Indonesia are recorded and used in this study. Driving behavior survey, distribution network modelling and PEV charging profile modelling are constructed. High PEV penetration feeder loading and voltage drop are evaluated. High PEV penetration would impact on overloading and voltage drop on the network. Uniformly distributed load has the highest loading 129.4%, on the other the highest voltage drop 0.87p.u. happen in the centralized load distribution model. Peak shifting in distribution network happen following the EV user charging behavior 17:45 shifted to 20:30. However, for the first stage EV ecosystem development, the time shifted strategy including varying the PEV charging location near the transformer could resulting valley filling and reducing the total network loses.
Sentiment Analysis of the Increase in Fuel Prices Using Random Forest Classifier Method Karandi Nurbagja; Nurirwan Saputra; Ahmad Riyadi; Meilany Nonsi Tentua
Buletin Ilmiah Sarjana Teknik Elektro Vol. 5 No. 1 (2023): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v5i1.7414

Abstract

This research focuses on examining how the economy in Indonesia is affected by the increasing fuel prices, with a particular emphasis on the impact on the lower and middle-income populations. The announcement made by President Jokowi and his ministers about the fuel price hikes has spurred public reactions on social media platforms. The rise in fuel costs has a notable impact on people's livelihoods, especially concerning the surge in prices of essential goods. Sentiment analysis measures public opinion about the increase in fuel prices. The data taken from social media needs to be more balanced. The data is labeled with two identifications, “negative”, “positive” and “neutral”. The method used in sentiment analysis is the random forest method. This research contributes to determining the number of trees used in the model formation with public opinion data. The F1-score measurement result on the model is achieved at a value of 60%.
CNN Classification of Malaria Parasites in Digital Microscope Images Using Python on Raspberry Pi Muhammad Muttaqin; Meida C Untoro; Andre Febrianto; Amir Faisal; Agung W Setiawan; Bagas P Prabowo; Yusuf A Rahman
Buletin Ilmiah Sarjana Teknik Elektro Vol. 5 No. 1 (2023): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v5i1.7522

Abstract

Malaria disease occurs because the plasmodium parasite infects human red blood cells spread by female Anopheles mosquitoes and then causes health problems such as blood deficiency and even death. The gold standard of malaria diagnosis is to use laboratory microscopy examination of the patient's red blood cell samples to distinguish between microscope images of parasitic and non-parasitic red blood cells. However, diagnosing malaria through microscope observation is time-consuming, subjective, and tiring for health workers. So, a malaria classification system was designed using the Convolutional Neural Network (CNN) method to distinguish parasitic and non-parasitic red blood cell images. The CNN model is trained using training data and also tested using test data. Then, the CNN training model is embedded on a Raspberry Pi equipped with a Graphical User Interface to facilitate observer interaction through the LCD screen on this digital and portable microscope. The CNN classification rate achieved an accuracy value of 97.88% using the database image and 98.76% using the digital microscope acquisition image. The CNN classification system of malaria parasites designed on a Raspberry Pi-based digital and portable microscope is expected to improve the diagnosis of malaria and reduce the infection rate of malaria patients, especially in various remote areas in Indonesia.
Analysis of Lightning Strike Impulse Strategies in Electricity Distribution Channels Utilizing Mixed Lines Muhammad Iswal Burhan; Dessy Ana Laila Sari
Buletin Ilmiah Sarjana Teknik Elektro Vol. 5 No. 1 (2023): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v5i1.7569

Abstract

To ensure the operational security of these systems and to give higher quality electricity to all users, it is important to assess the transient behavior of electric power transmission and distribution systems when they are challenged to varied forms like lightning discharges, which in this research is focused to determine the effect by utilizing the mixed line configuration on the impulse voltage of lightning strike on the 20 kV distribution line. This experiment was carried out using sources of data through channel documentation on Makassar City Polda Feeders with an airway length (SUTM) of 7.8 km and a cable channel length (SKTM) of 2 km obtained from PT. PLN (Persero) Makassar Branch and then input into the ATP-EMTP simulation process with either a simulation of 20 and 50 kA strikes at distances of 2.5, 4.5 and 6.5 km with lightning impulses of 1.2/50 and 8/20 µs. configuration of lines at the transition point and also the end of the cable channel depending on the magnitude of the lightning current, the location of the strike, and the lightning impulse. Lightning peak current is proportional to the voltage response at the transition point and the end of the cable, and the effect on lightning impulse peak voltage is generated at the transition point and the end of the cable. According to research results of initial research, the use of mixed channel lines can decrease the impulse voltage is 20 kV distribution lines.
Automatic Fish Feeder and Telegram Based Aquarium Water Level Monitoring Bagas Dewantara; Indah Sulistiyowati; Jamaaluddin Jamaaluddin
Buletin Ilmiah Sarjana Teknik Elektro Vol. 5 No. 1 (2023): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v5i1.7575

Abstract

An important factor in maintaining fish in an aquarium is the timeliness of feeding fish. Most fish keepers are worried about the aquarium's feeding and water conditions, which must be done every day. Therefore, an automatic fish feeding tool and telegram-based monitoring of aquarium water levels were made to make it easier for fish keepers and aquarium owners to provide and monitor fish feed automatically according to a predetermined schedule. Monitoring the remaining feed and water level in the aquarium is done via Telegram. The components used in this tool are Esp 8266 as a microcontroller, RTC as a timer for scheduling fish feed, Ultrasonic as a detector for remaining fish feed, JSN-SR04T as a water level detector, LCD to display time and date as well as notifications and a servo motor functions to open and close the fish feed. The conclusion from the results obtained from this device is that the device works well and helps the aquarium owner to monitor and feed efficiently, despite some challenges such as delay due to poor internet connection.
Design of Turbine Aerator with Remote Control and Internet of Things (IoT)-Based Water pH Monitoring Mohammad Amar Juliyanto; Indah Sulistiyowati; Ahmad Ahfas
Buletin Ilmiah Sarjana Teknik Elektro Vol. 5 No. 1 (2023): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v5i1.7863

Abstract

Water plays a very important role for living things including fish, with good water fish can grow optimally and healthily. The acidic and alkaline content of water and also oxygen greatly affects its growth. Currently, the majority of fish farmers monitor the pH and oxidation process of the pond manually. Therefore, in an aquaculture business, water quality must be monitored by fish farmers. In this research, an internet of things (IoT) based tool will be made that will produce oxygen in the water in tilapia ponds and is equipped with a pH sensor that will read how much pH value is contained in it, then the data can be viewed remotely via a cellphone connected to the internet. The telemetry system of this aerator research uses the NodeMCU ESP8266 microcontroller then the pH sensor reading data can be seen through the cellphone with the Blynk application as well as the aerator control can be easily done from the application. fish farmers can easily monitor the quality of water pH in real-time as well as control the aerator. The results achieved by the aerator can cause the oxidation process (dissolved oxygen) in water from the rotation of the impeller. Testing was carried out on a tilapia pond with a pond diameter of 15m2. The methodology used is quantitative with the results obtained from 10x experiments and comparison of the pH sensor and also the pH meter shows 96% accuracy of the pH sensor 4502C while 4% for the error value. the pH value before the aerator is active is 6 which means acidic. After the aerator is active and the dissolved oxygen process runs the pH value of the water becomes 7-7.5 which means neutral, this value is good for freshwater fish to breed well. from the help of this tool, fish farming farmers can more efficiently monitor water pH and aerator control.
Design of a Soil Erosion Warning System in Watersheds Based on Arduino Uno M. Ulud Risaldi; Ahmad Raditya Cahya Baswara
Buletin Ilmiah Sarjana Teknik Elektro Vol. 5 No. 1 (2023): March
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v5i1.7867

Abstract

Tropical climate conditions with two seasons, namely rainy and hot in Indonesia and coupled with relatively diverse surface and rock topography conditions, have the potential for natural disasters, one of which is erosion in watersheds. Making the system using the Arduino Uno microcontroller, SIM-800L V2 Module, Piezoelectric Sensor, Soil Moisture Sensor, Buzzer and LCD. The designed system will be able to display information on the spot, and can send via SMS. In pre-erosion conditions, there are two variables used, namely soil moisture and soil vibration. As for post-erosion, it only takes the soil vibration variable. The limit value of vibration in pre-erosion conditions is 31%. Pre-erosion data is divided into 3 statuses, namely BEWARE at humidity values of 31-70% and vibration values of 5-15%, DANGER status with humidity values of 71-100% or vibration values of 16-30%, and other than that they are included in the SAFE category. Whereas in post-erosion 3 categories are LIGHT EROSION at vibration values of 31-50%, MODERATE EROSION 51-70% and SEVERE EROSION 71-100%.
Chili Plants Soil Fertility Monitoring System Based on Internet of Things (IoT) Wahyu Prawoto; Anton Yudhana
Buletin Ilmiah Sarjana Teknik Elektro Vol. 4 No. 3 (2022): December
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v4i3.5298

Abstract

Soil fertility is one of the main factors in cultivating chili peppers. Variables that need to be considered to support chili growth include soil temperature and pH. This study aims to monitor soil fertility using the DS18B20 temperature sensor and an Internet of Things (IoT)-based soil pH sensor combined with the Geographical Information System (GIS) algorithm. Ituses parameters of temperature values and soil pH values with geographic readings via GIS. The DS18B20 temperature sensor values and ground pH sensor are processed on the ESP8266 NodeMCU then displayed on a 20x4 LCD and sent to the ThingSpeak website in real time. Soil fertility testing is carried out in the morning and evening by comparing the measurement results of the DS18B20 temperature sensor and soil pH sensor with a standard tool, namely the 4in1Soil Survey Instrument. The results of soil fertility testing using the DS18B20 temperature sensor and soil pH sensor conducted in the morning obtained a temperature accuracy of 95.36% and a pH accuracy of 95.96%. Meanwhile, the results carried out in the afternoon obtained a temperature accuracy of 94.36% and a pH accuracy of 89.96%. The implementation of GIS in this study succeeded in mapping the fertility of good and bad soils.
Monitoring Temperature and Humidity of Boiler Chicken Cages Based on Internet of Things (IoT) Dhimas Dwiki Sanjaya; Abdul Fadlil
Buletin Ilmiah Sarjana Teknik Elektro Vol. 5 No. 2 (2023): June
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/biste.v5i2.4897

Abstract

Animal husbandry is a business sector that is growing rapidly. Poultry is very popular with the community, especially broiler chickens. However, breeders find it difficult to maintain the condition of broiler chickens because these poultry are heat stress birds that are easily stressed if the coop conditions are too hot or cold. Because of this, this research was conducted to design a system that can control the temperature and humidity values of the chicken coop automatically. The system designed in this study uses a DHT11 sensor which is useful for detecting the temperature and humidity values of the chicken coop. The microcontroller used is NodeMCU. The temperature and humidity values are sent via IoT (Internet of Things) to the ThingSpeak media platform. The fan will turn on if the temperature value is more than 31° C. The mist maker will light up if the humidity value is less than 55%, and the incandescent lamp will light up if the temperature value is less than 29° C. The system testing performed resulted in a temperature error value of 1,05% and humidity error value of 2,39%. The system's ability to turn on fans, mist makers, and incandescent lamps when the temperature value does not match the conditions can also run well.

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