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Delay Analysis in Zigbee Wireless Communication for Manipulated Data and Finger Clip Sensor Data Using Xbee Pro S2C Musayyanah; Pauladie Susanto; Weny Indah Kusumawati
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 2 No. 2 (2017): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (271.955 KB) | DOI: 10.54732/jeecs.v2i2.149

Abstract

Wireless Personal Area Networks have battery powered, low data rate, and low cost, that have been researched invarious fields, like Xbee Pro S2C. It can build mesh network, consist of Coordinator, Router and End Device. Xbeecan perform point to point and multipoint communication. We evaluate delay performance and data loss for bothcommunication at indoor environment, to get Xbee’s successful transmission rate. This transmission sent themanipulated data and data from sensor finger clip by End Device Node as Tranmitter to Coordinator Node asReceiver. This data is sent with different interval time, 8ms for manipulated data and 500 ms for data finger clipsensor. Definition of Delay is the difference of difference of time between first data sent and first data received.From manipulated data measurement the delay of point to point is 1,17 seconds, whereas multipoint gets 1,332seconds. For delay data finger clip measurement of multipoint is 1,34 seconds. While data loss occur in multipointcommunication, for data finger clip measurement get the loss 53,33 % and 46,67% in random quartile of data, andfor manipulated data get 3,56 % loss.
Penerapan Controlling Auto Light Dimmer Menggunakan Fuzzy Logic Pada Hidroponik Indoor Putri Fatimah Zahra Al-Gadri; Weny Indah Kusumawati; - Harianto; - Musayyanah
Techno.Com Vol 22, No 2 (2023): Mei 2023
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/tc.v22i2.7799

Abstract

Negara dengan tingkat kepadatan tinggi pasti membutuhkan tempat tinggal yang banyak. Hidroponik memakai media bukan tanah adalah salah satu solusinya. Hidroponik di dalam ruangan memerlukan pengganti cahaya matahari. Oleh karena itu, penelitian ini mengembangkan sistem untuk mengontrol intensitas cahaya tanaman hidroponik dengan metode yang inovatif. Alat ini menyesuaikan kondisi cahaya di dalam ruangan dan daya keluaran yang sesuai dengan intensitas cahaya lampu hidroponik melalui proses fuzzy logic controller. Tingkat kesalahan untuk data sensor dari Bh1750 adalah sekitar 4.05%. Ketika nilai aktuator dinaikkan, perangkat dimmer juga naik secara linier. Namun, angkanya tidak stabil antara 1 sampai 10, dan lebih dari 80. Karena kenaikan yang terus-menerus tinggi dan penurunan yang terus-menerus rendah, keluaran menjadi tidak stabil selama pengujian sistem fuzzy pada set point rendah. Namun pada set point tinggi, sistem berhasil menyesuaikannya ke nilai yang benar. Rise time 0.37 detik, SettlingMin 173.3300 lux, SettlingMax 945.83 lux, Overshoot 57.8%, dan Peak 956.7 lux, semua nilai di atas ada pada set point 600. Tanaman memiliki daun yang lebih lebar dan batang yang lebih tinggi apabila diberi set point tinggi, dibandingkan apabila diberi set point rendah.
Model Identifkasi Sinyal Jantung Pertama (S1) dan Sinyal Jantung Kedua (S2) pada Janin Ira Puspasari; Jusak Jusak; Weny Indah Kusumawati; Ekasari Oktarina
Jurnal Rekayasa Elektrika Vol 16, No 1 (2020)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1146.416 KB) | DOI: 10.17529/jre.v16i1.14991

Abstract

Process of identifying fetal heart sound signals is imperative in recognizing congenital heart function that caused by many factors, such as hereditary factors and food intake of pregnant mothers. This study developed a method for processing heart signals to separate normal fetal phonocardiogram signals from noise by utilizing the Complete Empirical Mode Decomposition (CEEMD) algorithm which is integrated with the Pearson Distance metric. Heart signals that have been separated from noise are then processed using the Shannon Energy equation in order to sharpen the intensity of the first heart signal (S1) and the second heart signal (S2), but at the same time suppress the intensity of the residual noise in the signal. Based on the experiment results from 75 normal fetal heart sound cycles, the model that has been developed is able to identify the S1 signal and S2 signal, the time duration of T11 (S1-S1), and the time duration of T12 (S1-S2). Average duration of T11 and T12 acquired in this research can possibly be used as a reference for measuring the normal duration of fetal heart sound signals.
KONTROL KIPAS ANGIN SECARA JARAK JAUH MELALUI PENGENALAN BENTUK GESTUR JARI TANGAN BERBASIS COMPUTER VISION Fredi Wakerkwa; Heri Pratikno; Weny Indah Kusumawati; Musayyanah Musayyanah
Journal of Innovation Research and Knowledge Vol. 3 No. 3: Agustus 2023
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53625/jirk.v3i3.6443

Abstract

Artificial Intelligence berkembang sangat pesat, visi komputer bagian dari kecerdasan buatan untuk memproses data visual. Disisi lain mikrokontroler juga berkembang dengan pesat guna memudahkan tugas manusia. Pada penelitian ini melakukan pengontrolan kipas angin secara jarak jauh melalui proses deteksi gestur jari tangan menggunakan metode Mediapipe serta modul WeMos berbasis protokol MQTT. Hasil percobaan dari penelitian ini mendapatkan akurasi deteksi gestur tangan mematikan kipas (0, tangan mengepal) pada jarak 100 cm sebesar 100% dengan 28,6 FPS, akurasi deteksi gestur jari tangan untuk menghidupkan kipas angin pada level kecepatan 1 sebesar 94% pada 29,9 FPS, sedangkan akurasi deteksi gestur 2 untuk mengontrol kecepatan putaran kipas angin pada level 2 adalah 99% pada 28,6 FPS, dan hasil deteksi gestur jari tangan untuk mengendalikan kecepatan putaran kipas angin pada level 3 mencapai 99. % akurasi pada 31,4 FPS. Pengujian pada jarak 150 cm menunjukkan akurasi 100% untuk deteksi isyarat 0, 1, 2, dan 3 pada lima orang. Pada jarak 200 cm akurasi deteksi gestur 0 dan 1 sebesar 80%, sedangkan gestur 2 dan 3 mempertahankan akurasi 100%. Di atas 200 cm, gestur 0 dan 1 mencapai akurasi 80%, gestur 2 mencapai akurasi 100%, dan gestur 3 mencapai akurasi 90%.
Pelatihan Mikrotik Dasar Pada SMK Pawiyatan Surabaya Weny Indah Kusumawati; Musayyanah Musayyanah; Pauladie Susanto; Charisma Dimas Affandi
Jurnal Pengabdian Masyarakat dan Inovasi Vol 3 No 1 (2023)
Publisher : Pengelola Jurnal Politeknik Negeri Ketapang Jl. Rangga Sentap, Dalong Sukaharja, Ketapang 78813. Telp. (0534) 3030686 Kalimantan Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58466/jurnalpengabdianmasyarakatdaninovasi.v3i1.1187

Abstract

Vocation Senior Shcool students who are ready to penetrate industrial company must have hard skills. One of hard skills is being able to use the latest technology, especially network-based technology, namely Mikrotik. Mikrotik is a network devic that can perform as router or access point. With GUI-based application, learning Mikrotik was simple and easy to be applied. The purpose of this training is to equip students to be able to use Mikrotik independently on small-scale networks. This training was held four times, which was attended by 14 student participants and 2 teachers of SMK Pawiyatan Surabaya. The training was held in a computer network laboratory, which consisted of 16 computers as hosts and 16 microphones. Each participant operates Mikrotik independently, guided by the trainer. Training questionnaires were distributed to all participants as an indicator of the success this training. The questionnaire contains training materials, trainer performance, training facilities and training atmosphere. Based on the numbers that have been processed, the average questionnaire rating is 56% strongly agree, 42% agree, and 2% disagree. The assessment of these numbers shows that this PKM activity received a good response from the training participants.
Model Identifkasi Sinyal Jantung Pertama (S1) dan Sinyal Jantung Kedua (S2) pada Janin Ira Puspasari; Jusak Jusak; Weny Indah Kusumawati; Ekasari Oktarina
Jurnal Rekayasa Elektrika Vol 16, No 1 (2020)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v16i1.14991

Abstract

Process of identifying fetal heart sound signals is imperative in recognizing congenital heart function that caused by many factors, such as hereditary factors and food intake of pregnant mothers. This study developed a method for processing heart signals to separate normal fetal phonocardiogram signals from noise by utilizing the Complete Empirical Mode Decomposition (CEEMD) algorithm which is integrated with the Pearson Distance metric. Heart signals that have been separated from noise are then processed using the Shannon Energy equation in order to sharpen the intensity of the first heart signal (S1) and the second heart signal (S2), but at the same time suppress the intensity of the residual noise in the signal. Based on the experiment results from 75 normal fetal heart sound cycles, the model that has been developed is able to identify the S1 signal and S2 signal, the time duration of T11 (S1-S1), and the time duration of T12 (S1-S2). Average duration of T11 and T12 acquired in this research can possibly be used as a reference for measuring the normal duration of fetal heart sound signals.
Lighter as flame control and temperature control in milk pasteurization system Rizky Alief Febriansyah; Weny Indah Kusumawati; Harianto; Pauladie Susanto
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 13 No. 3 (2023): Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v13i3.115-129

Abstract

Milk pasteurization involves heating milk at a specific temperature below its boiling point as a method to keep the resulting dairy product retaining the shape and taste characteristics of fresh milk. In several experiments, the use of fuzzy control systems has been tested to regulate the temperature in the milk pasteurization process and to time the ignition of the stove flame. However, this fuzzy approach still causes the system to give an unstable response and irregular stove flame. In order to study milk pasteurization, the Low Temperature Long Time (LTLT) method is used which is implemented automatically through a PID control system. This method serves to maintain nutritional quality by keeping the pasteurization temperature at a setpoint of 62°C. This control involves the use of servo actuators and electric lighters that are automatically regulated with the help of flame sensors. The flame sensor detects the presence of flame and ensures that the flame remains lit throughout the pasteurization process. At the end of the process, the flame sensor plays a role in breaking the flame by setting a certain threshold. This sensor operates within 10 CM of the flame source and will produce an analog output with a maximum value of 4000 when the flame is lit. When the flame is extinguished, the analog output of the sensor will reach a value of 4095. Testing of the milk pasteurization automation system is given a value for each PID resulting from the value of Kp = 31.8, Ki = 115.6, Kd = 4.4 and obtained a rise time value of 0.39 minutes, 0.61%, settling min of 60.88, and settling max of 62.38.
Implementasi Aplikasi Penghitung Benur dengan Menggunakan HP Android pada Instalasi Budidaya Air Payau Banjarkemuning, Sedati, Sidoarjo Oktarina, Eka Sari; Kusumawati, Weny Indah; Musayyanah, Musayyanah
Society : Jurnal Pengabdian Masyarakat Vol 3, No 4 (2024): Juli
Publisher : Edumedia Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55824/jpm.v3i4.427

Abstract

Kegiatan abdimas ini diarahkan kepada IBAP Banjarkemuning, yaitu kegiatan yang berupa pelatihan penggunaan aplikasi mobile berbasis Android untuk memberi kemudahan dalam menghitung jumlah benur sebelum ditebar di tambak. Selama ini, perhitungan benur dilakukan secara manual, yaitu dengan mengambil beberapa benur dalam sebuah wadah, selanjutnya benur dihitung dengan menggunakan gelas plastik putih atau sendok berdasar putih. Hal ini membutuhkan waktu lama untuk pemrosesan penghitungan benur. Untuk itu dibuatlah Shrimptector, sebuah aplikasi yang dapat menghitung jumlah benur secara otomatis hanya dengan mengambil gambar benur dengan kamera smartphone pada sebuah wadah putih, maka jumlah benur secara otomatis terhitung. Harapan yang ingin dicapai dalam pengabdian kepada masyarakat ini adalah dengan penggunaan aplikasi penghitung jumlah benur dapat meningkatkan efisiensi dan produktivitas dalam usaha budidaya udang dan mempermudah para petambak untuk melakukan penghitungan benur. Keberhasilan kegiatan ini diukur dari kemudahan para staf dan karyawan dalam mengoperasikan aplikasi penghitung jumlah benur dari smartphode dan antusiasme staf dan karyawan yang menginginkan adanya program pengabdian kepada masyarakat selanjutnya.  Berdasarkan hasil survei kuesioner, para staf dan karyawan menjawab “sangat setuju'' dan “setuju” terhadap semua pertanyaan yang diajukan. Persentase jawaban “sangat setuju” tertinggi sebesar 100% dan terendah sebesar 80%.  Sebaliknya, tingkat tanggapan “setuju” paling tinggi sebesar 20% dan terendah sebesar 10%.
MONITORING TENAGA PANEL SURYA BERBASIS IoT (INTERNET of THINGS) DI LAHAN PADI Kusumawati, Weny Indah; Malik, Alief Nurul; Harianto, Harianto; Susanto, Pauladie
MULTITEK INDONESIA Vol 18, No 1 (2024): Juli
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/mtkind.v18i1.7303

Abstract

Saat ini, sebagian area sawah di suatu daerah memerlukan penerangan untuk memudahkan kegiatan petani pada malam atau pagi hari. Untuk meminimalkan kegiatan siang hari, petani juga bekerja di malam hari atau dini hari, misalnya untuk melindungi ladang dari tikus ladang yang berbahaya. Penelitian awal telah dibuat alat pemantau daya panel surya (solar panel) dengan basis Internet of Things, tetapi sensor arus tidak membantu arus DC dan tidak ada lampu penunjuk (indikator) untuk menyalakan lampu. Berdasarkan problem diatas, dirancang peralatan monitoring panel surya dengan basis Internet of Things sekaligus perhitungan arus dan daya DC serta penerangan sawah dengan indikator. Peralatan monitoring energi panel surya ini adalah panel surya untuk sumber pengganti, NodeMCU ESP32 bekerja sebagai sistem penerangan dan pemantauan, yang menerima masukan dari sensor tegangan yang berfungsi untuk mengatur tegangan, dan sensor arus mendeteksi arus yang masuk ke baterai. Analisis yang diperoleh dari penelitian adalah lampu DC dapat dihidupkan/dimatikan berdasarkan data sensor arus sensor dan tegangan yang berhasil digabungkan dengan akurasi 2.86% dan 36.97% dibanding dengan Avometer, dan monitoring menggunakan MQTT dapat diselesaikan dengan kecepatan transfer data yang berhasil sebesar 73.33%.
Monitoring and temperature control system for fish farming in an IOT-based bucket using an android application Yazid, Abdul; Kusumawati, Weny Indah; Harianto; Susanto, Pauladie
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 14 No. 2 (2024): Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v14i2.50-65

Abstract

This study seeks to create and implement an Internet of Things (IoT)-based system for monitoring and controlling temperature in fish farming within a bucket (Budikdamber) using temperature sensors. The main focus is to set the optimal temperature range for catfish farming in the Budikdamber, ensuring environmental conditions that suit the needs of catfish. Automatic controls are integrated to keep the water temperature in the bucket within the desired range. The system is also capable of automatically activating or deactivating devices such as the Peltier, lights, filling pump, and draining pump to achieve the appropriate temperature. In the test using a 50-litre bucket, a thorough evaluation and testing showed that the DS18B20 temperature sensor had an error rate of 0.8826%, while the Ultrasonic sensor had an error rate of 0.737%. Nonetheless, the other components in the device operate optimally with performance levels reaching 100%, according to their functions. Testing of the Android App on this device achieved an accuracy rate of 100%, indicating that this device can be effectively monitored and controlled remotely through the Android App. The conclusion of this research provides insight into the performance of temperature sensors, system optimization, and the effectiveness of remote control using Android Apps in the context of fish farming.