Main engine is the main driving engine. This research develops a ship's main engine temperature monitoring system using the Blynk application. Thermocouple sensors measure engine temperature and IR Sensor measure RPM, the data is processed by ESP32, and sent to the Blynk cloud server, this research aims to determine the design of a prototype intelligent monitoring system to detect the temperature of a ship's main engine using a Thermocouple sensor, NodeMCU ESP32 which operates at 3.3V power is used as the processing core data. The system design in this research integrates Internet of Things (IoT) technology. Test factors for thermocouple temperature measuring devices and RPM sensors (IR Sensors). The test procedure uses a dynamo as a simulation of the main engine, tested for 5-10 minutes under normal conditions and 5 minutes when the dynamo feels warm to hot.

The apple cider vinegar fermentation process requires careful monitoring and control of variables such as pH, alcohol content, and amount of acetic acid.  This research adopts Fuzzy Logic Control by utilizing the MQTT communication protocol, pH, alcohol and water pump sensors, as well as solenoid valves and DC motors as actuators.  This Internet of Things (IoT) based solution provides real-time monitoring information on the fermentation process.  The results showed that the test system succeeded in maintaining a stable pH of around 3.9-4.0 during the initial stages of fermentation, while industrial data showed greater variations.  Alcohol content increased consistently in the test system, in contrast to the spike on day 7 in industry data.  At the formulation stage, the pH dropped to 3.68 in the test system, while the industry maintained 3.70.  At medium and slow mixing stages, the test system showed a significant decrease in pH and a consistent increase in alcohol.  At the harvest stage, the pH was lower in the test system compared to industrial, with slightly higher alcohol content.  Test results show that the implementation of this system can reduce the fermentation process time by up to 2 days faster compared to conventional methods.  This conclusion shows that IoT-based systems are able to provide better control and monitoring than conventional systems, so they have great potential for wider adoption in the apple vinegar fermentation industry to increase production effectiveness.

Aquascape as the art of designing and organizing a miniature water garden inside an aquarium has become a desirable hobby for nature lovers and aquatic enthusiasts. Although it offers natural beauty, aquascape requires intensive attention and maintenance to maintain the balance of the aquarium environment. Therefore, the Smart Aquascape concept emerged as an innovative solution by utilizing the integration of the Internet of Things (IoT) to monitor and control the condition of the aquarium environment in real-time through a digital platform that can help facilitate maintenance for aquascape hob-byists and maintain the balance of the aquarium ecosystem. This research aims to design an IoT system to monitor and con-trol water temperature, implement an automatic feeding mechanism, and design an accurate pH regulation system in an aquascape environment by integrating all these features into one connected control platform.

Keywords: aquarium, ecosystem, IoT, smart aquascape, water.

ABSTRAK

Aquascape sebagai seni merancang dan mengatur taman air miniatur di dalam sebuah akuarium telah menjadi hobi yang diminati oleh pecinta alam dan penggemar akuatik. Meskipun menawarkan keindahan alam, aquascape memerlukan perhatian dan pemeliharaan yang intensif untuk menjaga keseimbangan lingkungan akuarium. Oleh karena itu konsep Smart Aquascape muncul sebagai solusi inovatif dengan memanfaatkan integrasi Internet of Things (IoT) untuk memantau dan mengontrol kondisi lingkungan akuarium secara real-time melalui platform digital yang dapat membantu memu-dahkan perawatan bagi para penghobi aquascape dan menjaga keseimbangan ekosistem akuarium. Penelitian ini ber-tujuan untuk merancang sistem IoT untuk memantau dan mengontrol suhu air, mengimplementasikan mekanisme pemberian pakan otomatis, dan merancang sistem pengaturan pH yang akurat dalam lingkungan aquascape dengan mengintegrasi-kan semua fitur tersebut ke dalam satu platform kontrol yang terhubung.

Human emotional understanding has become one of the most rapidly emerging fields developed over the years since the emotional state is created and influenced by several neither easily measured and nor predicted factors. The proposed novel approach is based on the mixture of the processed acceleration data of several designed activities and processed heart rate data under several emotional states, recorded by the application of`smart band devices. Since the processed acceleration and heart rate data are running on different dimensionalities and recorded by different types of sensors, some machine learning-based methods applied to fusing these two kinds of data. The results of the data fusion methods are defined as the new fused datasets for Multi-Layer Perceptron and Support Vector Machines classifiers based on a selected criterion. At last, the accuracy results of the selected classifiers running under the defined machine-learning-based fusion dataset compared to each other to find out the effectiveness of the proposed fusion method.

The three-phase induction motor is one of the most widely used types of electric motor in the industrial world. In its application to regulate the speed and improve the efficiency of the motor used the method of Variable frequency drive (VFD) by changing the input frequencies. The final task uses a simulated simulation method of the simulink matlab that will analyze the influence of frequency and voltage changes on speed, slip, and motor efficiency. The results show that frequency and voltage changes have an impact on induction motor performance that includes speed, slip, and efficiency. Often, they scream and shout. From a frequency of 50 Hz, every 10 percent decrease in the Frequency then the speed also decreases by about 10 percent. Frequencies of 50 Hz and 45 Hz produce speeds of 1440 rpm and 1295 rpm. For the slip, the increase in frequency leads to a decrease in the motor slip value. At the frequencies of 50 Hz and 45 Hz produced slide values of 4% and 16%. The highest efficiency is given at a torque load of 5 Nm and a frequency of 50 Hz with an efficiency of 97%.

Keywords: 3-phase induction engine, VFD, Matlab, Frequency, Speed, Slip, Efficiency

ABSTRAK

Motor induksi tiga fasa adalah salah satu jenis motor listrik yang paling banyak digunakan dalam dunia industri. Dalam penerapannya untuk mengatur kecepatan dan meningkatkan efisiensi motor digunakan metode Variable frequency drive (VFD) dengan mengubah frekuensi masukan. Penelitian ini menggunakan metode simulasi matlab simulink yang akan menganalisa mengenai pengaruh perubahan frekuensi dan tegangan terhadap kecepatan, slip, dan efisiensi motor. Hasil penelitian menunjukkan bahwa perubahan frekuensi dan tegangan mempunyai dampak terhadap kinerja motor induksi yang meliputi kecepatan, slip, dan efisiensi. Frekuensi berbanding lurus dengan kecepatan dan efisiensi. Dari frekuensi 50 Hz, setiap penurunan frekuensi 10% maka kecepatan juga turun sekitar 10%. Frekuensi 50 Hz dan 45 Hz menghasilkan kecepatan 1440 Rpm dan 1295 Rpm. Untuk slip, kenaikan frekuensi menyebabkan turunnya nilai slip motor. Pada frekuensi 50 Hz dan 45 Hz menghasilkan nilai slip 4% dan 16%. Sedangkan untuk nilai efisiensi tertinggi terjadi ketika diberi beban torsi 5 N.m dan frekuensi 50 Hz dengan efisiensi sebesar 97%.

Information technology has developed rapidly and has had a significant impact on various aspects of business life, allowing companies to compete more effectively with other companies in the same field. Information Technology Service Management (ITSM) is a concept that focuses on providing efficient and quality IT services in an organization, which in turn can increase individual and organizational productivity as a whole. The Surabaya City KPU faces several obstacles in recording inventory because it is still done manually, which causes the risk of losing inventory data. Additionally, inventory users often have difficulty reporting problems with the assets in use. This research aims to overcome these weaknesses by implementing a system that can assist the inventory process and improve services for users. In this research, open source software called GNU General Public License Infrastructure (GLPI) is used as an inventory and user service management system, with an Agile method approach. The implementation of this system is expected to increase inventory management efficiency and service quality at the Surabaya City KPU.

Keywords: Agile Methodology, Service Management, ITSM, GLPI.

ABSTRAK

Teknologi informasi telah berkembang pesat dan memberikan dampak signifikan terhadap berbagai aspek kehidupan bisnis, memungkinkan perusahaan bersaing lebih efektif dengan perusahaan lain di bidang yang sama. Manajemen Layanan Teknologi Informasi (ITSM) merupakan konsep yang berfokus pada penyediaan layanan TI yang efisien dan berkualitas dalam suatu organisasi, yang pada gilirannya dapat meningkatkan produktivitas individu dan organisasi secara keseluruhan. KPU Kota Surabaya menghadapi beberapa tantangan dalam hal pencatatan inventaris karena masih dilakukan secara manual, yang menyebabkan risiko kehilangan data inventaris. Selain itu, pengguna inventaris sering kali mengalami kesulitan melaporkan masalah terkait aset yang digunakan. Penelitian ini bertujuan untuk mengatasi kelemahan tersebut dengan mengimplementasikan sistem yang dapat membantu proses inventarisasi serta meningkatkan layanan bagi pengguna. Dalam penelitian ini, digunakan perangkat lunak open source bernama GNU General Public License Infrastructure (GLPI) sebagai sistem manajemen inventaris dan layanan pengguna, dengan pendekatan metode Agile. Implementasi sistem ini diharapkan dapat meningkatkan efisiensi manajemen inventaris serta kualitas layanan di KPU Kota Surabaya.

The South Sulawesi electrical system, which is an interconnected network supplying electricity to South Sulawesi, West Sulawesi, Central Sulawesi, and Southeast Sulawesi, faces new challenges in integrating wind power plants (PLTB) into frequency stability. This study analyzes the impact of integrating wind power plants (PLTB) on the frequency stability of the Sulbagsel electrical system, focusing on the rate of change of frequency (RoCoF). Under normal conditions without PLTB, the system frequency remains stable at 50 Hz during both daytime and nighttime peak loads. Integration of PLTB causes the frequency to increase from 50 Hz to a maximum peak, ranging from 50.111 Hz to 50.978 Hz during the day and from 50.113 Hz to 50.613 Hz at night. A frequency decrease occurs when the PLTB is removed, with the frequency dropping from 50 Hz to a minimum value between 49.270 Hz and 49.884 Hz during the day and between 49.326 Hz and 49.884 Hz at night. These frequency fluctuations indicate the system's sensitivity to power variability from wind energy and the chal-lenges in managing frequency drops due to the loss of PLTB. The system response varies during peak load periods in the day and night, with smaller frequency fluctuations during the day compared to nighttime, possibly due to differences in load demand profiles and generator composition. These findings provide insights into the impact of PLTB on frequency stability and power management in renewable energy-based electrical systems.

Keywords: WPP Integration, Frequency Stability, Rate of Change of Frequency (RoCoF).

ABSTRAK

Sistem kelistrikan Sulawesi Selatan, yang merupakan jaringan interkoneksi yang memasok energi listrik ke Sulawesi Se-latan, Sulawesi Barat, Sulawesi Tengah, dan Sulawesi Tenggara, menghadapi tantangan baru dalam integrasi pembang-kit listrik tenaga bayu (PLTB) terhadap stabilitas frekuensi. Penelitian ini menganalisis dampak integrasi pembangkit listrik tenaga bayu (PLTB) terhadap stabilitas frekuensi sistem kelistrikan Sulbagsel, dengan fokus pada rate of change of frequency (RoCoF). Dalam kondisi normal tanpa PLTB, frekuensi sistem tetap stabil pada 50 Hz baik pada beban puncak siang maupun malam. Integrasi PLTB menyebabkan frekuensi meningkat dari 50 Hz hingga puncak maksimum, yaitu anta-ra 50,111 Hz hingga 50,978 Hz pada siang hari, dan antara 50,113 Hz hingga 50,613 Hz pada malam hari. Penurunan frekuensi terjadi ketika PLTB dihilangkan, dengan frekuensi turun dari 50 Hz ke nilai minimum antara 49,270 Hz hingga 49,884 Hz pada siang hari, dan antara 49,326 Hz hingga 49,884 Hz pada malam hari. Fluktuasi frekuensi menunjukkan sensitivitas sistem terhadap variabilitas daya dari energi angin dan tantangan dalam mengelola penurunan frekuensi akibat kehilangan PLTB. Respons sistem bervariasi pada periode beban puncak siang dan malam, dengan fluktuasi frek-uensi lebih kecil pada siang hari dibandingkan malam hari, kemungkinan disebabkan oleh perbedaan profil permintaan beban dan komposisi pembangkit. Temuan ini memberikan wawasan mengenai pengaruh PLTB terhadap kestabilan frek-uensi dan manajemen daya dalam sistem kelistrikan berbasis energi terbarukan.

The need for internet access is currently very high to search for information and communication. Many agencies have integrated the internet in use to meet the needs of data communication technology. The current system has many weaknesses, including the internet source at the KPU Surabaya City has 2 ISPs that run independently to accommodate the large traffic load that results in slow internet connections. Load balancing aims to prevent overload that will cause a decrease in network quality, by stabilizing the traffic load. In addition to Load Balancing, for bandwidth distribution, the simple queue feature is used to divide the download and upload speeds on each distribution path on the router to prevent clients from using excessive traffic. With the test results using the Load balancing technique on ether 1 and ether 2 on ISP line 1 showing an Rx level of 33.76 kbps and tx of 17.6 kbps, while on ISP line 2 showing an Rx of 28.9 kbps and Tx of 877.4 kbps which proves that load balancing has been running and a simple queue to divide bandwidth on upload and download traffic, in the test for uploading in the data and logistics room getting 126.4 kbps and downloading 4.9 Mbps, while in the legal and tekmas room getting 101.4 kbps upload and downloading 4.9 Mbps then the network has been divided and avoided data distribution congestion on the network because the two internet lines help each other, then by setting the bandwidth, each room in the KPU of Surabaya City will have its own internet usage limitations.

Keywords: Load Balancing, Simple queue, Bandwidth Management, optimation, network

ABSTRAK

Kebutuhan akses internet saat ini sangat tinggi untuk mencari informasi informasi maupun komunikasi. Banyak instansi yang telah mengintegrasikan internet dalam penggunaan untuk memenuhi kebutuhan teknologi komunikasi data. Sistem saat ini memiliki banyak kelemahan di antaranya adalah sumber internet di KPU Kota Surabaya mempunya 2 ISP yang berjalan sendiri - sendiri untuk menampung banyaknya beban traffic yang mengakibatkan lambatnya koneksi internet. Load balancing bertujuan untuk mencegah terjadinya overload yang akan menimbulkan turunya kualitas jaringan, dengan menstabilkan beban traffic. Selain Load Balancing, untuk pembagian bandwidth digunakan fitur simple queue untuk membagi kecepatan download dan upload pada setiap jalur pendistribusian pada router guna mencegah client menggunakan traffic yang berlebih. Dengan hasil ujian menggunakan teknik Load balancing pada ether 1 dan ether 2 pada jalur ISP 1 menunjukan tingkat Rx 33.76 kbps dan tx sebesar 17.6 kbps, sedangkan pada jalur ISP 2 menunjukan Rx sebesar 28,9 kbps dan Tx Sebesar 877.4 kbps yang membuktikan bahwa load balancing telah berjalan dan simple queue untuk membagi bandwidth pada trafik upload dan download, pada pengujian untuk upload di ruangan data dan logistik mendapatakan 126.4 kbps dan download 4,9 Mbps, sedangkan pada ruangan hukum dan tekmas mendapatkan upload 101.4 kbps dan download 4,9 Mbps maka jaringan tersebut telah terbagi dan terhindar dari kemacetan pendistribusian data pada jaringan karena kedua jalur internet saling membantu satu sama lain, kemudian dengan mengatur bandwidth maka setiap ruangan di KPU Kota Surabaya akan mempunyai limitasi pemakaian internetnya masing – masing.

This research aims to optimize the growth of red radish microgreens through an automation system that integrates irri-gation, lighting, and temperature adjustment based on the Internet of Things (IoT). The research method involves the use of WS2812B LED strips as the lighting source for photosynthesis, soil moisture sensors to control irrigation, and DHT22 tem-perature sensors to adjust the ideal environmental temperature. Data collection combines relevant literature data with direct observations during the red radish microgreen planting process. Data analysis is conducted through descriptive approaches to understand the growth patterns of microgreen plants and correlation analysis to identify relationships be-tween various growth parameters. Additionally, the IoT system's response to changes in environmental conditions is ana-lyzed to evaluate the system's effectiveness in regulating lighting, irrigation, and temperature. The research findings indi-cate that the IoT-based automation system effectively enhances the growth and quality of red radish microgreens. The au-tomatic implementation of LEDs improves photosynthesis rates, while efficient irrigation systems ensure plants receive adequate water. The temperature automation system maintains optimal growth conditions and reduces the risk of thermal stress. Integrating this system into a website platform also enables remote control and monitoring. This automation system not only increases plant productivity and quality but also reduces maintenance costs and time, demonstrating the signifi-cant potential of IoT technology in modern agriculture.

Keywords: Automation System, Growth, Internet of Things, Microgreen, Red Radish.

ABSTRAK

Penelitian ini bertujuan untuk mengoptimalkan pertumbuhan microgreen red radish melalui sistem otomatisasi yang mengintegrasikan penyiraman, penyinaran, dan penyesuaian suhu berbasis Internet of Things (IoT). Metode penelitian melibatkan penggunaan LED strip WS2812B sebagai sumber pencahayaan untuk fotosintesis, sensor kelembaban tanah untuk mengontrol penyiraman, dan sensor suhu DHT22 untuk menyesuaikan suhu lingkungan yang ideal. Pengumpulan data dalam penelitian menggabungkan data literatur yang relevan serta pengamatan langsung selama proses penanaman microgreen red radish. Analisis data dilakukan melalui pendekatan deskriptif untuk memahami pola pertumbuhan tana-man microgreen dan analisis korelasi untuk mengidentifikasi hubungan antara berbagai parameter pertumbuhan. Selain itu, respons sistem IoT terhadap perubahan kondisi lingkungan dianalisis untuk mengevaluasi efektivitas sistem dalam mengatur pencahayaan, penyiraman, dan suhu. Hasil penelitian menunjukkan bahwa sistem otomatisasi berbasis IoT efektif dalam meningkatkan pertumbuhan dan kualitas microgreen red radish. Penerapan LED secara otomatis meningkatkan laju fotosintesis, sementara sistem penyiraman efisien memastikan tanaman mendapatkan air yang tepat. Sistem otomatisasi suhu menjaga lingkungan pertumbuhan optimal dan mengurangi risiko stres termal. Integrasi sistem ini dalam platform website juga memungkinkan kontrol dan pemantauan secara remote. Sistem otomatisasi ini tidak hanya meningkatkan produktivitas dan kualitas tanaman, tetapi juga mengurangi biaya dan waktu pemeliharaan, menunjukkan potensi besar teknologi IoT dalam pertanian modern.

Drone Spray for Base Rot Disease Detection in Oil Palm Plants aims to increase the effectiveness of disease detection and control using drone technology. Stem base rot disease, caused by the fungus Ganoderma boninense, threatens oil palm productivity in Indonesia. Drone technology with near-infrared (NIR) sensors and image processing is used to detect early signs of the disease, enabling timely preventive action. A drone equipped with a Raspberry Pi camera and NoIR V2 pro-duces high-resolution images for NIR reflectance analysis. The research included field observations, expert interviews, and sensor data collection for evaluation of the effectiveness of this technology. Results show that the use of drones can in-crease disease detection efficiency by 85%, reduce operational costs, and minimize health risks for workers. This drone technology has great potential to improve the productivity and sustainability of the palm oil industry in Indonesia. This research recommends the adoption of drone technology in the agricultural sector to address plant disease challenges more efficiently and effectively.

Keywords: Disease, Drone, NIR, Oil Palm.

ABSTRAK

Drone Semprot untuk Deteksi Penyakit Busuk Pangkal Batang pada Tanaman Kelapa Sawit bertujuan meningkatkan efektivitas deteksi dan pengendalian penyakit menggunakan teknologi drone. Penyakit busuk pangkal batang, disebabkan oleh jamur Ganoderma boninense, mengancam produktivitas kelapa sawit di Indonesia. Teknologi drone dengan sensor inframerah dekat (NIR) dan image processing digunakan untuk mendeteksi tanda-tanda awal penyakit, memungkinkan tindakan preventif yang tepat waktu. Drone yang dilengkapi kamera Raspberry Pi dan NoIR V2 menghasilkan citra yang memiliki resolusi tinggi untuk analisis reflektansi NIR. Penelitian ini mencakup observasi lapangan, wawancara dengan pakar, dan pengumpulan data sensor untuk evaluasi efektivitas teknologi ini. Hasil menunjukkan bahwa penggunaan drone dapat meningkatkan efisiensi deteksi penyakit hingga 85%, mengurangi biaya operasional, dan meminimalkan risiko kesehatan bagi pekerja. Teknologi drone ini berpotensi besar dalam meningkatkan produktivitas dan keberlanjutan industri kelapa sawit di Indonesia. Penelitian ini merekomendasikan adopsi teknologi drone dalam sektor pertanian untuk mengatasi tantangan penyakit tanaman secara lebih efisien dan efektif.