cover
Contact Name
Al Mahdali
Contact Email
almahdali@atim.ac.id
Phone
+6281340032063
Journal Mail Official
redaksijjeee@ung.ac.id
Editorial Address
Electrical Engineering Department Faculty of Engineering State University of Gorontalo Jenderal Sudirman Street No.6, Gorontalo City, Gorontalo Province, Indonesia
Location
Kota gorontalo,
Gorontalo
INDONESIA
Jambura Journal of Electrical and Electronics Engineering
ISSN : 26547813     EISSN : 27150887     DOI : 10.37905/jjeee
Jambura Journal of Electrical and Electronics Engineering (JJEEE) is a peer-reviewed journal published by Electrical Engineering Department Faculty of Engineering, State University of Gorontalo. JJEEE provides open access to the principle that research published in this journal is freely available to the public to support the exchange of knowledge globally. JJEEE published two issue articles per year namely January and July. JJEEE provides a place for academics, researchers, and practitioners to publish scientific articles. Each text sent to the JJEEE editor is reviewed by peer review. Starting from Vol. 1 No. 1 (January 2019), all manuscripts sent to the JJEEE editor are accepted in Bahasa Indonesia or English. The scope of the articles listed in this journal relates to various topics, including: Control System, Optimization, Information System, Decision Support System, Computer Science, Artificial Intelligence, Power System, High Voltage, Informatics Engineering, Electronics, Renewable Energy. This journal is available in online and highly respects the ethics of publication and avoids all types of plagiarism.
Articles 20 Documents
Search results for , issue "Vol 7, No 1 (2025): Januari - Juni 2025" : 20 Documents clear
Optimization of K-Means in Disease Clustering of Pregnant Women Using Random Forest Ishak, Rezqiwati; Nurmawanti, Nurmawanti; Bengnga, Amiruddin
Jambura Journal of Electrical and Electronics Engineering Vol 7, No 1 (2025): Januari - Juni 2025
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v7i1.28374

Abstract

Pregnant women's health is an important aspect of the public health system, where grouping disease data can help in risk identification and better treatment planning. However, traditional clustering methods such as K-Means often face challenges in optimal separation between clusters, especially when the attributes used are irrelevant. This study aims to optimize the K-Means method in disease clustering in pregnant women by applying Random Forest-based attribute selection. Of the six available attributes (age, weight, height, gestational age, systole, and diastole), the three main attributes namely systole, diastole, and gestational age were selected based on the Importance Score from Random Forest. The test results showed that the use of these three attributes increased the Silhouette Score by 0.21 (from 0.23 to 0.44), indicating better cluster separation, and lowered the Davies-Bouldin Index by 0.69 (from 1.50 to 0.81), indicating a more compact and well-separated cluster. Clustering visualization using Principal Component Analysis (PCA) supports these results. In addition, the calculation of the Elbow method shows the optimal number of clusters at k=3, reinforcing the conclusion that the selection of the right attributes and the number of clusters improves the quality of clustering. Overall, this study proves that the selection of Random Forest-based features is able to optimize the K-Means method in disease clustering in pregnant women, which is expected to improve the effectiveness of diagnosis and treatment planning.Kesehatan ibu hamil merupakan aspek penting dalam sistem kesehatan masyarakat, di mana pengelompokan data penyakit dapat membantu dalam identifikasi risiko dan perencanaan perawatan yang lebih baik. Namun, metode clustering tradisional seperti K-Means sering kali menghadapi tantangan dalam pemisahan yang optimal antar cluster, terutama ketika atribut yang digunakan tidak relevan. Penelitian ini bertujuan untuk mengoptimalkan metode K-Means dalam clustering penyakit pada ibu hamil dengan menerapkan seleksi atribut berbasis Random Forest. Dari enam atribut yang tersedia (usia, berat badan, tinggi badan, usia kehamilan, sistole, dan diastole), tiga atribut utama yaitu sistole, diastole, dan usia kehamilan dipilih berdasarkan Importance Score dari Random Forest. Hasil pengujian menunjukkan bahwa penggunaan tiga atribut ini meningkatkan Silhouette Score sebesar 0,21 (dari 0,23 menjadi 0,44), yang mengindikasikan pemisahan cluster yang lebih baik, serta menurunkan Davies-Bouldin Index sebesar 0,69 (dari 1,50 menjadi 0,81), menunjukkan cluster yang lebih kompak dan terpisah dengan baik. Visualisasi clustering menggunakan Principal Component Analysis (PCA) mendukung hasil ini. Selain itu, perhitungan metode Elbow menunjukkan jumlah cluster optimal pada k=3, memperkuat kesimpulan bahwa pemilihan atribut dan jumlah cluster yang tepat meningkatkan kualitas clustering. Secara keseluruhan, penelitian ini membuktikan bahwa seleksi fitur berbasis Random Forest mampu mengoptimalkan metode K-Means dalam clustering penyakit pada ibu hamil, yang diharapkan dapat meningkatkan efektivitas diagnosis dan perencanaan perawatan.
Bluetooth-based Heart Rate and Oxygen Saturation Monitoring System HC-05 Based on IoT Afandy, Moh .; Rianto, Muhammad Ikbal; Putra P, Muhammad Farhan
Jambura Journal of Electrical and Electronics Engineering Vol 7, No 1 (2025): Januari - Juni 2025
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v7i1.27447

Abstract

The purpose of this study was to design a heart rate and oxygen saturation measuring device using the reflectance method that is in accordance with standardized devices and connected to the application via a Bluetooth connection with a reporting system for measurement results that have abnormal heart performance. This study uses a design method with the use of the Max30100 sensor as the main component of this device. Based on the results of testing the sensor components of the device in testing the level of heart performance in the form of heart rate and oxygen saturation with the reflectance method in testing with a comparative device in the form of a fingertip pulse oximeter, an average error percentage of 1.73% and a measurement accuracy of 98.38% was obtained. Testing with a similar comparative device was carried out by the Smart Y68, an average error percentage of 1.73% and a measurement accuracy of 98.27%. As for testing the device with respondents, the results showed that 2/5 of the samples had a healthy heart performance level but required attention to their heart rate, namely samples A2 and A4. The design embedded a location reporting system from the use of the remote system application. The location tracking results obtained an error value of 0.002192% with an average percentage error in latitude of 0.0043% and an average percentage error in longitude of 0.000084%.Tujuan penelitian ini merancang alat pengukur detak jantung dan saturasi oksigen menggunakan metode reflectance yang sesuai dengan alat yang terstandarisasi dan terhubung pada aplikasi melalui koneksi bluetooth dengan adanya sistem pelaporan terhadap hasil pengukuran yang memiliki kinerja jantung yang abnormal. Penelitian ini menggunakan menggunakan metode rancang bangun dengan penggunaan sensor Max30100 sebagai komponen utama pada alat ini. Berdasarkan hasil pengujian komponen sensor alat dalam pengujian tingkat kinerja jantung berupa detak jantung dan saturasi oksigen dengan metode reflectance pada pengujian dengan alat pembanding berupa pulse oxymeter fingertip didapatkan rerata persentase error sebesar 1,73% dan akurasi pengukuran sebesar 98,38%. Pengujian dengan alat pembanding serupa dilakukan Smart Y68 didapatkan rata-rata persetanse error 1,73% dan akurasi pengukuran sebesar 98,27%. Adapun pengujian alat dengan responden didapatkan hasil bahwa dari 2/5 dari sampel memiliki tingkat kinerja jantung yang sehat tapi memerlukan perhatian pada detak jantung, yaitu sampel A2 dan A4. Dalam rancangan disematkan sematkan sistem pelaporan lokasi dari penggunaan aplikasi sistem jarak jauh. Hasil pelacakan lokasi didapatkan nilai error sebesar 0,002192% dengan rata-rata persentase error pada latitude sebesar 0,0043% dan rata-rata persentase error pada longitude sebesar 0,000084%. 
SMART APPLICATION OF CLASS XI MATHEMATICS FORMULAS BASED ON ANDROID Musa, Olha; Ali, Satriadi D; Badaruddin, Muliati
Jambura Journal of Electrical and Electronics Engineering Vol 7, No 1 (2025): Januari - Juni 2025
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v7i1.28480

Abstract

Mastering mathematical formulas is often a challenge for high school students, especially grade XI students who cover complex topics such as algebra, trigonometry, calculus, and matrices. To help students understand and apply these formulas, an Android-based application was designed that provides interactive, easily accessible, and efficient learning facilities. Technological advances allow tasks to be completed more easily and in a shorter time, but increasingly sophisticated AI can still make mistakes in language translation, for example in chatgpt, the author's concern is that if there is an error in making mathematical formulas in completing the grade XI assignment, it will mislead students if they do not pay close attention and lack knowledge in completing the assignment. This study uses a descriptive method, which aims to describe or analyze the results without making broader generalizations. Application development follows the Prototype method, a widely used software development approach that allows for continuous interaction between developers and users, ensuring a clear understanding of system requirements and functionality. The results of the study include software testing using whitebox testing, which focuses on the internal structure and implementation of the application code. At this stage, the tester has complete knowledge of the system architecture and code. In addition, black-box testing is used for functional testing, where the behavior of a system is assessed by analyzing inputs and outputs. In black-box testing, the application is run, and data is entered to verify whether the output matches the expected results. This combination of testing methods ensures the robustness and functionality of the application in supporting 11th grade students with mathematical formulas.
Implementation of Inverse Kinematics System in Robotic Arm for Glass Pick and Place Operations Saputro, Adi Kurniawan; Rahmawati, Diana; Febriana, Iftitah; Ibadillah, Achmad Fiqhi; Ulum, Miftachul; Haryanto, Haryanto
Jambura Journal of Electrical and Electronics Engineering Vol 7, No 1 (2025): Januari - Juni 2025
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v7i1.28169

Abstract

In the modern era, robotic technology becomes essential for increasing efficiency and productivity in various sectors, including industry. One common robot application is the robot arm for pick-and-place tasks. This research aims to develop a robot arm with four degrees of freedom (DoF). The robot arm is designed to place glasses into packaging boxes. This research uses the principle of inverse kinematics and robot arm control software developed using Python programming language. The robot arm will be controlled using proximity sensors to read object distances or locations. The packaging process will be optimized through accurate and efficient movement planning from the conveyor to the cardboard position. Trial scenarios will be conducted to test the robot arm's ability to place glasses into packaging boxes with high accuracy. The trials were conducted 30 times within a 10-minute duration, achieving an accuracy of 99.9% for the x-y coordinates when the robotic arm picked up glasses. The accuracy of the robotic arm in placing glasses into the packaging box was 100% for the x-coordinate and 99.9% for the y-coordinate. The discrepancies in the robot's angular accuracy are attributed to inaccuracies in angle measurement, caused by uncertainties in determining the primary reference point of the stepper motor, which serves as the basis for its movement.Dalam era modernisasi, teknologi robotika menjadi esensial untuk meningkatkan efisiensi dan produktivitas di berbagai sektor, termasuk industri. Salah satu aplikasi yang umum digunakan adalah robot arm dalam tugas pick and place. Penelitian ini bertujuan untuk mengembangkan robot arm dengan empat derajat kebebasan (DoF). Robot arm ini dirancang untuk menempatkan gelas ke dalam kotak pengemas. Penelitian ini menggunakan prinsip inverse kinematics dan software pengendali robot arm yang dikembangkan menggunakan bahasa pemrograman Python. Robot arm akan dikendalikan dengan sensor proximity untuk membaca jarak atau letak objek. Proses pengemasan akan dioptimalkan melalui perencanaan gerakan pengambilan gelas dari konfeyor ke posisi kardus secaara akurat dan efisien. Skenario uji coba akan dilakukan dengan menguji kemampuan robot arm dalam menempatkan gelas ke dalam kotak pengemas dengan akurasi tinggi. Hasil uji coba dilakukan sebanyak 30 kali dalam waktu 10 menit menggunakan robot arm dalam mengambil gelas untuk koordinat x-y sebesar 99,9%. Tingkat akurasi robot arm dalam meletakkan gelas ke dalam kotak pengemas untuk koordinat x sebesar 100% sedangkan untuk koordinat y sebesar 99,9%. Perbedaan dalam keakuratan sudut robot terjadi karena ketidaktepatan dalam pengukuran sudut pada robot. Ketidaktepatan ini disebabkan oleh ketidakpastian dalam menentukan titik referensi utama dari motor stepper, yang berfungsi sebagai acuan untuk pergerakannya.
SMART AFRESH IO: Integrated Smart Air Freshener Dispenser Firdaus, Wildan; Fallahian, Faris Fatha; Wati, Dwi Ana Ratna; Yuwono, Tito
Jambura Journal of Electrical and Electronics Engineering Vol 7, No 1 (2025): Januari - Juni 2025
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v7i1.28457

Abstract

Automatic air freshener dispensers are widely used to enhance comfort in office workrooms, hotel meeting rooms, and hospital service areas. These dispensers are typically placed in elevated locations, making it challenging for users to check battery capacity and air freshener liquid volume. To address this issue, this study presents SMART AFRESH IO, an IoT-integrated automatic air freshener dispenser designed to simplify management tasks such as remote monitoring and control. User surveys and literature studies were conducted to identify essential features of air freshener dispensers. Based on these findings, the dispenser was equipped with battery monitoring and air freshener liquid volume monitoring features. Additional functionalities include spray interval adjustments, automated scheduling, and notifications when the battery or liquid level approaches depletion. The dispenser uses key components such as an ESP32 microcontroller, voltage sensor, load cell, rechargeable battery, and a monitoring and control application. The dispenser was tested in various scenarios to evaluate its performance. Testing results showed that the battery monitoring feature achieved an accuracy of 98.94%, while the liquid volume monitoring feature reached an accuracy of 94.28%. Other features, including spray interval adjustments, automated scheduling, and notifications, functioned as intended. The IoT integration, accuracy, and functionality of the dispenser's features significantly enhance the efficiency of managing air freshener dispensers, particularly in environments with multiple units, such as offices, hotels, and hospitals.Dispenser pengharum ruangan otomatis banyak digunakan untuk menambah kenyamanan seperti di ruang kerja pada perkantoran, ruang pertemuan hotel, dan ruang layanan di rumah sakit. Dispenser ini diletakkan di tempat tinggi sehingga tidak mudah dijangkau. Hal ini menyebabkan kesulitan pengguna dalam melakukan pengecekan kapasitas baterai dan volume cairan pengharum. Oleh karena itu, pada penelitian ini dirancang SMART AFRESH IO, yaitu dispenser pengharum ruangan otomatis yang terintegrasi dengan Internet of Things (IoT). Tujuannya untuk mempermudah pengguna melakukan pengelolaan, yaitu melakukan monitoring dan kendali jarak jauh terhadap dispenser pengharum ruangan. Survei terhadap pengguna dan studi literatur dilakukan untuk mengidentifikasi fitur-fitur penting yang dibutuhkan pengguna dispenser pengharum ruangan. Berdasarkan hasil survei tersebut, dispenser ini dirancang dengan fitur monitoring baterai dan monitoring volume cairan pengharum ruangan. Selain itu, terdapat pengaturan interval waktu penyemprotan, penjadwalan otomatis dan pengiriman notifikasi ketika kondisi baterai dan jumlah cairan pengharum ruangan sudah mendekati habis. Dispenser dirancang dengan komponen utama ESP32, sensor tegangan, load cell, dan baterai isi ulang serta aplikasi monitoring dan kontrol. Pengujian dispenser dilakukan dengan eksperimen penggunaan dispenser pada berbagai skenario. Berdasarkan hasil pengujian, fitur monitoring baterai memiliki tingkat akurasi sebesar 98.94%, fitur monitoring volume cairan pengharum ruangan memiliki tingkat akurasi sebesar 94.28%, sedangkan fitur-fitur lainnya seperti pengaturan interval waktu penyemprotan, penjadwalan otomatis, serta fitur notifikasi sudah dapat berfungsi dengan baik.  Integrasi dengan IoT, akurasi serta fungsional fitur dispenser pengharum ruangan memberikan dampak efektifitas pengelolaan dispenser terutama pada penggunaan unit dalam jumlah banyak seperti di perkantoran, hotel dan rumah sakit.
Optimization of Genetic Algorithm Computation Time with Mutation Probability Variations in Course Scheduling Salman, Rudi; Suprapto, Suprapto; Irfandi, Irfandi; Hutajulu, Olnes Yosefa
Jambura Journal of Electrical and Electronics Engineering Vol 7, No 1 (2025): Januari - Juni 2025
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v7i1.28286

Abstract

Genetic Algorithm (GA) often requires a long computation time due to the complexity of its processes. Therefore, efforts are needed to optimize GA computation time, particularly in scheduling lectures at the Electrical Engineering Study Program of Universitas Negeri Medan, which is the focus of this research. One possible approach is determining the appropriate mutation probability (Pm) value. This study employs the Mutation Probability Variation Method, where Pm is constrained between 0 and 1 and varied from a minimum value of 0.01 (1%) to a maximum value of 0.1 (10%). Simulations were conducted using Matlab R2012b, with constant parameters including a population size of 100 and a crossover probability (Pc) of 0.85. Iterations were performed to evaluate the effect of Pm on computation time and solution performance. The results show that at Pm = 0.06, the Genetic Algorithm achieved the fastest computation time, averaging 0.382 seconds. This study also identifies that GA computation time is significantly influenced by algorithm parameters and the complexity of the problem. By selecting an appropriate Pm, a balance between exploration and exploitation can be achieved, reducing computation time without sacrificing solution quality. This research contributes significantly to the development of more efficient algorithms for optimization applications, particularly in lecture scheduling.Waktu komputasi dalam Algoritma Genetika (AG) sering kali memerlukan waktu yang lama akibat kompleksitas komputasi yang dikerjakan. Oleh karena itu, perlu dilakukan upaya untuk mengoptimalkan waktu komputasi AG, khususnya dalam perencanaan jadwal kuliah di Program Studi Teknik Elektro Universitas Negeri Medan, yang menjadi objek penelitian. Salah satu upaya yang dapat dilakukan adalah dengan menentukan nilai probabilitas mutasi (Pm) yang tepat. Penelitian ini menggunakan Metode Variasi Probabilitas Mutasi, di mana nilai Pm dibatasi antara 0 hingga 1 dan divariasikan dari nilai minimum 0,01 (1%) hingga nilai maksimum 0,1 (10%). Simulasi dilakukan menggunakan perangkat lunak Matlab R2012b, dengan parameter konstan yaitu ukuran populasi 100 dan probabilitas crossover (Pc) 0,85. Proses iterasi dilakukan untuk mengevaluasi pengaruh Pm terhadap waktu komputasi dan performa solusi. Hasil simulasi menunjukkan bahwa pada Pm = 0,06, Algoritma Genetika mencapai waktu komputasi tercepat, yaitu 0,382 detik. Penelitian ini juga mengidentifikasi bahwa waktu komputasi AG sangat dipengaruhi oleh parameter algoritma dan kompleksitas masalah yang dihadapi. Dengan pemilihan Pm yang tepat, keseimbangan antara eksplorasi dan eksploitasi dapat dicapai, sehingga waktu komputasi berkurang tanpa mengorbankan kualitas solusi. Penelitian ini memberikan kontribusi signifikan dalam pengembangan algoritma yang lebih efisien untuk aplikasi optimasi penjadwalan kuliah. 
Power Flow Regulation of PLTS and Genset in Residential Using PLC Zelio Kusmantoro, Adhi; Farikhah, Irna
Jambura Journal of Electrical and Electronics Engineering Vol 7, No 1 (2025): Januari - Juni 2025
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v7i1.28308

Abstract

At this time many homes are in dire need of a source of electricity. In addition, the electricity source comes from fossil fuels, the availability of which is decreasing. One of the abundant renewable energy sources is solar energy. In the study, it was proposed to regulate PLTS and Genset in residential using PLC Zelio. The purpose of this study is to regulate the power flow to residential loads, so that the power flow to the load is not interrupted. The method used is with the stages of identifying solar irradiation, calculating the load, planning PLTS and designing a power regulator. For PLTS planning, it includes solar panels, batteries, battery charge controller or solar charge controllers, and inverters. The number of solar panels needed is 4 from 250 Wp solar panels. When the battery is used with a lower limit energy of state of change (SOC) of 50%, the number of batteries needed is 8. Based on the calculation, the SCC capacity used is 50 A. The study results show the regulation of energy flow with PLTS and Genset sources on residential loads. In addition, the abundant solar energy sources in the city of Semarang can be utilized for power generation using solar panels.Saat ini, banyak rumah tinggal yang sangat membutuhkan sumber listrik, Selain itu sumber listrik berasal dari energi fosil yang ketersediannya semakin berkurang. Salah satu sumber energi terbarukan yang melimpah adalah energi matahari. Dalam penelitian diusulkan pengaturan PLTS dan genset pada rumah tinggal menggunakan PLC Zelio. Tujuan dalam penelitian ini adalah mengatur aliran daya pada beban rumah tinggal, sehingga aliran daya ke beban tidak terputus. Metode yang digunakan dengan tahapan mengidentifikasi iradiasi matahari, menghitung beban, merencanakan PLTS dan mendesain pengatur daya. Untuk perencanaan PLTS meliputi panel surya, baterai, pengatur pengisian baterai atau solar charge controller, dan inverter. Jumlah panel surya yang dibutuhkan sebanyak 4 buah dari panel surya 250 Wp. Ketika baterai digunakan dengan batas bawah energi atau state of change (SOC) 50% maka jumlah baterai yang dibutuhkan sebanyak 8 buah. Berdasarkan perhitungan terlihat kapasitas SCC yang digunakan sebesar 50 A. Hasil studi memperlihatkan pengaturan aliran energi dengan sumber PLTS dan Genset pada beban rumah tinggal. Selain itu sumber energi matahari yang melimpah di kota Semarang dapat dimanfaatkan untuk pembangkit listrik memakai panel surya.
Design and Implementation of Aquascaping Automation System Using Arduino Uno R3 Musa, Wahab; Abdussamad, Syahrir; Dako, Amirudin Yunus; Nasibu, Iskandar Zulkarnain; Tansa, Salmawaty; Ingopo, Renaldi Anwar
Jambura Journal of Electrical and Electronics Engineering Vol 7, No 1 (2025): Januari - Juni 2025
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v7i1.21583

Abstract

One of the arts in creating a beautiful natural environment in an aquarium is aquascaping. It requires good planning in the placement of water, rocks, plants and animals in the aquarium. In addition, it is necessary to control the acidity level (pH) of the water so that it is in a stable condition needed by the flora and fauna in the aquarium. In this research, automatic control is implemented using an Arduino Uno R3 for the pH sensor. This Arduino Uno R3 is used to control pH, temperature, and lighting. The ideal temperature in aquascaping is kept at 220C - 250 C by controlling it through a DC fan, and the pH of the water is controlled through a water pump. With this automatic control, aquarium owners can save on monitoring costs and time compared to manual methods.Salah satu seni dalam menciptakan lingkungan alam yang indah di dalam akuarium adalah aquascaping. Diperlukan perencanaan yang baik dalam penempatan air, bebatuan, tanaman dan hewan di dalam akuarium. Selain itu, perlu adanya pengontrolan tingkat keasaman (pH) air agar berada dalam kondisi stabil yang dibutuhkan oleh flora dan fauna di dalam akuarium. Pada penelitian ini, kontrol otomatis diimplementasikan dengan menggunakan Arduino Uno R3 untuk sensor pH. Arduino Uno R3 ini digunakan untuk mengontrol pH, suhu, dan pencahayaan. Suhu ideal pada aquascaping dijaga pada suhu 220C - 250 C dengan mengontrolnya melalui kipas DC, dan pH air dikontrol melalui pompa air. Dengan kontrol otomatis ini, pemilik akuarium dapat menghemat biaya dan waktu pemantauan dibandingkan dengan metode manual.
Application of the K-Medoids Clustering Algorithm to Determine the Nutritional Status of Toddlers Betrisandi, Betrisandi; Hasan, Maryam; Bahrin, Bahrin
Jambura Journal of Electrical and Electronics Engineering Vol 7, No 1 (2025): Januari - Juni 2025
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v7i1.27523

Abstract

Stunting is a chronic malnutrition problem due to a lack of nutritional intake in the body for a long time, as a result of which there is a growth disorder in children, namely the child's height becomes shorter or dwarfed than the standard age. The problem of malnutrition in toddler is a major concern in various countries. Based on the data from the Ministry of Health of the Republic of Indonesia in 2018, 30.8% of Indonesian toddlers were malnourished. Malnutrition in toddlers is very influential on physical and mental growth such as intellectual intelligence, speaking, walking, learning, immune system and low body immune system. The purpose of thisstudy is to classify the nutritional status of toddler into five cluster namely cluster 0 poor, cluster 1 undernourished, cluster 2 good nutrition, cluster 3 over nutrition and cluster 4 obesity by using the K-Medoids Algorithm method. K-Medoids Algorithmis one of the Algorithm used in data and mining. K-Medoids Algorithm is relatively fast and simple, making it easier to find Medoids in a group (cluster). Based on the data on toddlers there are 74 toddlers, the results of clustering are obtained from grouping, cluster 0 is 13 toddlers with bad nutrition, cluster 1 is undernutrition 15 toddlers, cluster 2 is good nutrition 21 toddlers, cluster 3 is over nutrition 23 toddlers and cluster 4 is obesity totaling 2 toddlers.Stunting merupakan masalah kurang gizi kronis karena kurangnya asupan gizi pada tubuh dalam waktu yang cukup lama akibatnya terjadi gangguan pertumbuhan pada anak-anak yakni tinggi badan anak menjadi lebih pendek atau kerdil dari standar usianya. Masalah kurang gizi padakelompok balita menjadi perhatian utama diberbagai negara. Berdasarkan data Kemenkes RI tahun 2018 sebanyak 30,8 % balita Indonesia mengalami gizi buruk. Gizi kurang pada balita sangat berpengaruh pada pertumbuhan fisik maupun mental seperti kecerdasan intelektual, berbicara, berjalan, belajar, daya tahan tubuh serta sistem imun tubuh rendah. Adapun tujuan dari penelitian ini adalah untuk mengelompokkan status gizi balita ke dalam 5 cluster yaitu cluster 0 gizi buruk, cluster 1 gizi kurang, cluster 2 gizi baik, cluster 3 gizi lebih dan cluster 4 obesitas dengan menggunakan metode Algoritma K-Medoids. Algoritma K-Medoids merupakan salah satu algoritma yang digunakan dalam data mining. Algoritma K-medoids relatif cepat dan sederhana sehingga memudahkan menemukan medoids dalam sebuah kelompok (cluster). Berdasarkan data balita yang ada sejumlah 74 balita maka didapatkan hasil clustering dari pengelompokkan dengan cluster 0 yaitu gizi Buruk berjumlah 13 balita, cluster 1 yaitu gizi kurang berjumlah 15 balita, cluster 2 yaitu gizi baik sejumlah 21 balita, cluster 3 yaitu gizi lebih berjumlah 23 balita dan cluster 4 obesitas berjumlah 2 balita. 
Development of Telecommunication System Learning Media with Digital-based ADDIE Method Saripudin, Saripudin; Bonok, Zainudin; Wiranto, Ifan; Abdussamad, Syahrir; Tansa, Salmawaty; Nasibu, Iskandar Zulkarnain
Jambura Journal of Electrical and Electronics Engineering Vol 7, No 1 (2025): Januari - Juni 2025
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v7i1.24188

Abstract

High demand and digital penetration in various aspects of human life has directly created a huge industry in technology. This is reflected in the impact of the widespread use of Information and Communication Technology (ICT) which allows for a more efficient way of providing education that makes it easier for educators, students, and students. The purpose of this research is to create a product on the development of learning media in telecommunications systems courses using the digital-based ADDIE method. This research is an RD (Research and Development) development research that uses the ADDIE model, which consists of five stages, namely 1.) Analyze; 2.) Design; 3.) Development; 4.) Implementation; and 5.) Evaluation. The learning media developed is a website that can be used for the Telecommunication System course at the Department of Electrical and Computer Engineering, Faculty of Engineering, Gorontalo State University. The results of this research are in the form of website-based learning media that can be used for the learning process of Telecommunication Systems courses and have been adjusted to the needs based on the needs analysis at the Department of Electrical and Computer Engineering, Faculty of Engineering, Gorontalo State University.  Permintaan yang tinggi dan penetrasi digital di berbagai aspek kehidupan manusia secara langsung telah menciptakan industri besar dibidang teknologi. Hal ini tercermin dari dampak meluasnya penggunaan Teknologi Informasi dan Komunikasi (TIK) yang memungkinkan terselenggaranya cara yang lebih efisien dalam memberikan edukasi Pendidikan yang memudahkan bagi para tenaga pendidik, siswa, dan mahasiswa. Tujuan penelitian ini adalah untuk membuat produk pada pengembangan media pembelajaran di mata kuliah sistem telekomunikasi dengan menggunakan metode ADDIE berbasis digital. Penelitian ini merupakan penelitian pengembangan RD (Research and Development) yang menggunakan model ADDIE, yang terdiri dari lima tahap yakni  1.) Analysis; 2.) Design; 3.) Development; 4.) Implementation; end 5.) Evaluation. Media pembelajaran yang dikembangkan merupakan sebuah website yang dapat digunakan untuk mata kuliah Sistem Telekomunikasi pada Jurusan Teknik Elektro dan Komputer Fakultas Teknik Universitas Negeri Gorontalo. Hasil penelitian ini berupa media pembelajaran berbasis website yang dapat digunakan untuk proses pembelajaran mata kuliah Sistem Telekomunikasi dan telah di sesuaikan dengan kebutuhan berdasarkan analisis kebutuhan pada Jurusan Teknik Elektro dan Komputer Fakultas Teknik Universitas Negeri Gorontalo.

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