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All Journal Jurnal Edukasi Elektro Jurnal Simetris Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer JTERA (Jurnal Teknologi Rekayasa) Jurnal Media Elektro : Journal of Electrical Power, Informatics, Telecommunication, Electronics, Computer and Control System TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol International Journal of Engineering, Technology and Natural Sciences (IJETS) Community Development Journal: Jurnal Pengabdian Masyarakat Teknika International Journal of Computer and Information System (IJCIS) Jurnal Pengabdian Masyarakat (ABDIRA) Kohesi: Jurnal Sains dan Teknologi KOPEMAS
Arisa Olivia Putri
Universitas Global Jakarta
Aerospace Engineering Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Nursing Public Health Social Sciences Other

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PROTOTYPE SISTEM MONITORING DAN CONTROLLING BUDIDAYA MICROGREEN DENGAN MENGGUNAKAN WEBSITE BERBASIS INTERNET OF THINGS (IoT) Sadih Saputra; Ariep Jaenul; Arisa Olivia
Jurnal Media Elektro Vol 11 No 2 (2022): Oktober 2022
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jme.v0i0.8279

Abstract

The increase in population impacts the limited land for growing crops since it establishes residential areas. The Organic plants for human consumption also increase following population growth. A microgreen is one of some techniques in agriculture to overcome this problem. In this research, a monitor and control system was constructed for microgreen cultivation and integrated into a website through an internet connection. This system uses a DHT11 sensor as a temperature and humidity sensor in the plant environment, a soil moisture sensor as a plant media humidity sensor, and RTC DS3231 as time control. The sensor output should be processed by the Arduino Mega 2560 microcontroller and forwarded to the actuators automatically. This prototype will be able to reduce the air temperature by 3.65 ºC and maintain the humidity of the growing media to 43%. The outcome of this prototype showed that it could increase the growth of microgreens 8 cm long in 14 days.
PROTOTYPE SISTEM MONITORING BOX SAMPAH BERBASIS IOT MENGGUNAKAN MODUL ESP32 DI GEDUNG JAKARTA GLOBAL UNIVERSITY Arrijalu Rifky; Arisa Olivia Putri; Ariep Jaenul
Kohesi: Jurnal Sains dan Teknologi Vol. 4 No. 7 (2024): Kohesi: Jurnal Sains dan Teknologi
Publisher : CV SWA Anugerah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.3785/kohesi.v4i7.5867

Abstract

Permasalahan sampah saat ini menjadi perhatian. Maka dari itu penelitian ini akan membahas mengenai Bagaimana mengukur ketinggian dan berat sampah yang ada di dalam tempat sampah dengan menggunakan sensor ultrasonic dan load cell dan Berapa lama jeda waktu pengiriman data ke server blynk sejak perubahan isi sampah, berdasarkan variasi ketinggian, berat, gas, dan menguji respon alarm apakah berbunyi jika kondisi sampah sudah diatas 80%. Penelitian ini menghasilkan bahwa sistem box sampah ini di rancang menggunakan 2 mikrokontroler ESP32 yang mana salah satunya yaitu ESP32 menangani tugas untuk menjalankan aplikasi Blynk, dan satu yang lain nya menangani respon alarm Buzzer. Selanjutnya dalam sistem yang dirancang menggunakan 3 sensor, diantara nya sensor ultrasonic untuk mendeteksi jarak, sensor load cell untuk mendeteksi berat, dan sensor mq2 untuk mendeteksi gas metana dan kecepatan respon aplikasi Blynk dipengaruhi oleh kecepatan internet yang terhubung di mikrokontroler ESP32, dengan nilai rata rata delay waktu 1 milidetik.
Rancang Bangun Smart Keyless Locker Dengan BLE Tag dan ESP32 Pada Loker Kunci Ruangan Lab di Laboratorium Jakarta Global University Nugraha, Kevin Setya; Putra, Arisa Olivia; Pratama, Legenda Prameswono
Kohesi: Jurnal Sains dan Teknologi Vol. 4 No. 7 (2024): Kohesi: Jurnal Sains dan Teknologi
Publisher : CV SWA Anugerah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.3785/kohesi.v4i7.5868

Abstract

Perkembangan teknologi membuat banyak temuan yang lebih mudah. Penelitian ini akan membahas mengenai bagaimana merancang sebuah sistem keamanan sederhana untuk loker penyimpanan menggunakan teknologi BLE dan IoT serta mengukur kecepatan respon ESP32 dengan BLE Tag dan pengaruh jarak dengan tegangan yang dibutuhkan oleh ESP32 dan BLE Tag saat membuka kunci loker, bagaimana tingkat kecepatan waktu yang diperlukan untuk meminta akses loker melalui telegram dan mengetahui tingkat keandalan sistem keamanan yang dirancang dari sisi BLE Tag dan Telegram. Penelitian ini menghasilkan sistem yang dirancang ini menggunakan mikrokontroler ESP32 yang disandingkan dengan BLE Tag untuk mengakses loker. delay bot telegram diukur dengan aplikasi Wireshark dan menghasilkan rerata delay sebesar 600 mili detik. Bot Telegram hanya menerima akses pada pengguna yang sudah terdaftar pada program ESP32 dan akan memberikan penolakan terhadap pengguna yang tidak terdaftar Pengguna yang terdaftar hanya dapat mengakses satu loker dalam satu waktu. ESP32 tidak bisa merespon Bluetooth Low Energy.
PELATIHAN ROBOTIK BERBASIS STEM SEBAGAI ALAT BANTU PENINGKATAN KEMAMPUAN KOGNITIF SEKOLAH DASAR ISLAM TERPADU (SDIT) BUKHARI MUSLIM Arisa Olivia Putri; Ariep Jaenul; Febria Anjara; Zakia Maulida Antono
Konferensi Nasional Pengabdian Masyarakat (KOPEMAS) #5 2024 Konferensi Nasional Pengabdian Masyarakat (KOPEMAS) #4 & International Community Service 2023
Publisher : Konferensi Nasional Pengabdian Masyarakat (KOPEMAS) #5 2024

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Pendidikan berkualitas merupakan kunci bagi kemajuan dan kemakmuran suatu negara, dengan kemampuan kognitif siswa memegang peran sentral dalam perkembangan mereka. Program pendidikan yang berfokus pada pengayaan kemampuan kognitif siswa menjadi sangat penting. Penelitian menunjukkan bahwa pembelajaran STEM (Science, Technology, Engineering, and Mathematics) dengan media robotik dapat meningkatkan kemampuan kognitif siswa di sekolah dasar, serta membantu mengembangkan kreativitas, kemampuan pemecahan masalah, dan berpikir kritis. Pelatihan ini bertujuan untuk meningkatkan kemampuan kognitif siswa melalui pembelajaran robotic berbasis STEM. Tujuannya adalah agar siswa dapat melatih fokus Ketika merangkai robot dan mengasah kemampuan problem solving untuk meningkatkan kemampuan kognitifnya. Dalam konteks SDIT Bukhari Muslim, pelatihan Robotik Berbasis STEM sebagai Alat Bantu Peningkatan Kemampuan Kognitif diharapkan dapat membantu siswa dalam menghadapi tantangan global di masa depan. Luaran dari pelatihan ini adalah robot yang sudah dirakit sebagai alat peraga. Selain itu, indikator keberhasilan pelatihan adalah bahwa siswa didampingi oleh guru dapat merakit robot sesuai dengan modul yang telah disediakan dan mengikuti modul pembelajaran robotic yang sudah dibuat oleh tim serta terlibat aktif dalam pembelajaran dengan bukti dokumentasi dan laporan.
EDUKASI PANEL SURYA SEBAGAI SALAH SATU TEKNOLOGI ENERGI TERBARUKAN UNTUK PEMBELAJARAN DI SMK ISLAM SAID NA’UM Ariep Jaenul; Arisa Olivia; Febria Anjara; Ananda Rama Pratama; Muhammad Azril Aryandi
Konferensi Nasional Pengabdian Masyarakat (KOPEMAS) #5 2024 Konferensi Nasional Pengabdian Masyarakat (KOPEMAS) #4 & International Community Service 2023
Publisher : Konferensi Nasional Pengabdian Masyarakat (KOPEMAS) #5 2024

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Energi terbarukan, khususnya panel surya, telah menarik perhatian dunia sebagai respons terhadap tantangan energi dan perubahan iklim. Namun pemahaman teknologi ini seringkali belum optimal terutama dikalangan pelajar. Sebagai bagian dari program pengabdian masyarakat, artikel ini memaparkan upaya pendidikan panel surya di SMK Islam Said Na'um Jakarta. Inisiatif ini bertujuan untuk memperkaya pengetahuan siswa tentang prinsip, keunggulan dan penerapan panel surya dalam konteks energi terbarukan. Dari kegiatan yang telah dilakukan adalah mulai dari Edukasi Panel Surya di SMK Islam Said Naum berjalan lancar dan kondusif. Melalui implementasi kegiatan pengenalan teknologi panel surya di SMK Islam Said Na'um, memberikan perubahan positif yang signifikan dalam pemahaman siswa tentang energi terbarukan.
Evaluating Manual vs. IoT-Driven Automated Calibration Methods for Scale Weights Putri, Arisa Olivia; Elida, Elsa; Nugraha, Dian
International Journal of Computer and Information System (IJCIS) Vol 5, No 3 (2024): IJCIS : Vol 5 - Issue 3 - 2024
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v5i3.182

Abstract

This study aims to compare manual calibration methods with automated calibration methods based on the Internet of Things (IoT) for scale weights, in accordance with the OIML R-51-1:2006 standards. The research employs three distinct types of scale weights: Cylindrical Knob, Cylindrical Hook Weight, and Cylindrical Slotted Weight. The comparison of these calibration methods is carried out using two key metrics: Correction Values and Standard Deviation Analysis. The experimental results indicate a trend where the accuracy of calibration diminishes as the weight of the scale increases. Specifically, when evaluating the three types of scale weights at a nominal test weight of 50 grams, the correction values obtained are relatively small, showing differences of 0.12, 0.1, and 0.02 for Cylindrical Knob, Cylindrical Hook Weight, and Cylindrical Slotted Weight, respectively. These findings suggest that the impact of weight on calibration accuracy is consistent across the types tested. In addition, Standard Deviation Analysis reveals that the IoT-based automated calibration method consistently achieves lower standard deviation values compared to the manual method. This indicates that the automated method provides more consistent and reliable calibration results. Overall, the study concludes that the IoT-based automated calibration method offers a significant improvement in performance over traditional manual methods for all three types of scale weights. This advancement highlights the potential for IoT technology to enhance the accuracy and efficiency of calibration processes in various industrial applications.
PROTOTIPE ALAT PENYORTIR JENIS IKAN OTOMATIS BERDASARKAN CITRA MATA MENGGUNAKAN ALGORITMA YOLO Salsabil, Sani; Anjara, Febria; Jaenul, Ariep; Dionova, Brainvendra Widi; Putri, Arisa Olivia; Salsabila, Ghina
JTERA (Jurnal Teknologi Rekayasa) Vol 9, No 2: December 2024
Publisher : Politeknik Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31544/jtera.v9.i2.2024.131-136

Abstract

This research presents the development of an automated fish sorting system leveraging image processing technology to enhance productivity within the fishing industry. Conventional fish sorting methods are predominantly manual, resulting in significant time and labor expenditures. To mitigate these challenges, the researchers designed and implemented a fish sorting device capable of categorizing fish based on species and quality during the management of fishery products. The system employs parameters such as eye color and skin or scale color, utilizing the YOLO algorithm to evaluate the accuracy of species and quality detection through image processing. The research encompasses several testing scenarios to validate the system's efficacy. The initial test utilized the ESP32 Cam to identify fish types from a sample of 16 fish, including Milkfish, Mackerel, Catfish, and Tilapia. The results demonstrated a high level of accuracy, with detection readings ranging from 0.902344 to 0.996094; however, Catfish and Tilapia were not detected due to their exclusion from the training dataset. Following this, the study evaluated fish quality through scale color parameters using the TCS3200 sensor, indicating that RGB values effectively differentiate fresh and non-fresh fish. The final test assessed actuator performance for sorting, achieving a 100% accuracy rate with no operational errors in the servo motor. Overall, the results indicate that the system can accurately identify species with a 100% success rate across the 16 samples and achieve the same rate for quality identification from 8 test images of two fish species. Additionally, the AI training metrics yielded a precision of 0.98 (98%), a recall of 0.96 (96%), and an F1 score of 0.97 (97%). In conclusion, this automated fish sorting system demonstrates significant potential for improving efficiency and accuracy in fish classification and quality assessment within the fishing industry, thereby contributing to enhanced productivity and operational effectiveness.
Design of A Thermoelectric Generator for Battery Charging using Heat from A Steam Iron Base Sundari, Delta; Manfaluthy, Mauludi; Pratama, Legenda Prameswono; Dionova, Brainvendra Widi; Vresdian, Devan Junesco; Putri, Arisa Olivia; Al-Humairi, Safaa Najah Sahud; Mohammed, M. N.
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Vol. 8 No. 2 (2024)
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/eltikom.v8i2.1307

Abstract

This study explores an alternative method of generating electrical energy using a thermoelectric generator that utilizes heat from the soleplate of a steam iron and six thermoelectric units connected in series. Based on the Seebeck effect, the thermoelectric modules convert the temperature difference into voltage. An increase in the heat source temperature leads to higher voltage production by the series-connected thermoelectric modules, although the electrical power output depends on the connected load. The power generator design includes thermoelectric modules, a buck-boost converter, an 18650 lithium-ion battery, and a 5-watt, 12-volt DC lamp. The study addresses key aspects such as the impact of temperature on power output in series-connected and parallel-connected thermoelectric circuits, and the efficient conversion of heat from the steam iron soleplate into electrical energy. The research objectives are threefold: to determine power and temperature values for series-connected thermoelectric circuits, to evaluate power and temperature values for parallel-connected thermoelectric circuits, and to utilize heat from the steam iron soleplate as a thermoelectric heat source for generating electrical energy. Testing involved a buck-boost converter connected to a battery, producing 12.35 volts with a temperature difference of 49°C. Design enhancements, such as integrating heatsinks or coolers on the cold side of the modules to maintain a significant temperature differential, are critical for optimizing performance.
Analysis of LoRaWAN Network Signal Coverage and Quality Parameters in Real-Time: Case Study of Cikumpa River Water Quality Monitoring, Depok City Ariansa, Hasri; Pratama, Legenda Prameswono; Faizah, Safira; Putri, Arisa Olivia; Jaenul, Ariep; Dionova, Brainvendra Widi; Al-Humairi, Safaa Najah Sahud; Mohammed, M. N.
Teknika Vol. 13 No. 3 (2024): November 2024
Publisher : Center for Research and Community Service, Institut Informatika Indonesia (IKADO) Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34148/teknika.v13i3.1060

Abstract

In the context of an increasingly advanced era, Internet of Things (IoT) technology has emerged as a significant innovation across a range of fields. One of the most rapidly developing Internet of Things (IoT) technologies is the Long Range Wide Area Network (LoRaWAN). LoRaWAN is capable of long-distance communication while simultaneously consuming minimal power. In this study, we analyze the coverage of the LoRaWAN network in transmitting data with Cikumpa river water objects, with a 100–600 meters distance between the transmitter (TX) and receiver (RX). This study assesses the RSSI network quality, LoRaWAN SNR, and LoRaWAN network QoS quality concerning throughput, delay, jitter, and packet loss parameters. The testing results demonstrated that the LoRaWAN network coverage reaches a maximum distance of 600 meters. Researchers conducted the testing in the Cikumpa River area. They then analyzed the RSSI and SNR test results in the morning, afternoon, and evening. The results of the RSSI test and calculations demonstrate that as the distance between the transmitter and receiver increases, the RSSI value decreases. The RSSI testing conducted in the morning exhibited a range of -99 dBm to -121 dBm, with the SNR values spanning from -3.25 dB to 8.75 dB. The results of the daytime RSSI tests ranged from -104 dBm to -124 dBm, with the corresponding SNR values ranging from -8.50 dB to 9.00 dB. The RSSI test results for the afternoon period exhibited a range of -96 dBm to -120 dBm, while the SNR demonstrated a range of -7.25 dB to 9.00 dB. In addition, the quality of service (QoS) can be considered stable based on the results of the RSSI and SNR for each test. During the testing process, conducted at distances between 100 and 600 meters, there was no packet loss when data transmission occurred. This research demonstrates the potential for utilizing LoRaWAN technology to monitor a desired object remotely.
Designing and Developing a Plastic Bottle Shredding Device with an RFID-Based Waste Management System at Jakarta Global University Campus Arlince, Meishin; Jaenul, Ariep; Putri, Arisa Olivia
Jurnal Internasional Teknik, Teknologi dan Ilmu Pengetahuan Alam Vol 6 No 2 (2024): International Journal of Engineering, Technology and Natural Sciences
Publisher : Universitas Teknologi Yogyakarta, Yogyakarta, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46923/ijets.v6i2.403

Abstract

This study investigates the measurement of plastic waste, commonly found in public areas such as the Global University of Jakarta campus, using both manual and automated weighing systems. This research aims to compare the accuracy of a manual scale and an automated load cell system, with a monetary conversion of 1 gram equating to IDR.3. This research employs a Research and Development (R&D) design where experimental tests were conducted to measure plastic waste weight with both systems. The first test revealed a weight range of 6.5–9.5 grams using the load cell, compared to 6.7–9.7 grams on the manual scale. The second test showed a range of 16.5–21.1 grams for both systems, while the third test showed 31.8–36.3 grams on the load cell and 32–36.8 grams on the manual scale. The error margin between the two systems remained below 3%, indicating a high level of accuracy in the automated system. The findings demonstrate that the automated system reliably approximates manual measurements, with each gram of plastic waste valued at IDR.3. To enhance the system's performance, future research should focus on incorporating a specialized cutting mechanism for plastic bottles to reduce vibrations, optimizing load cell placement for precision, and constructing the prototype from durable materials such as stainless steel to ensure both safety and measurement accuracy. These improvements could further advance the system’s efficacy in plastic waste management.
Co-Authors Abdulrazaq, Mohammed N. Al-Humairi, Safaa Najah Sahud Al-Humairi, Safaa Najah Saud Ananda Rama Pratama Ardi Kurniawan Ariansa, Hasri Ariep Jaenul Arlince, Meishin Arrijalu Rifky Balamaru, Bakti Balqis, Nashua Queentra Brainvendra Widi Dionova Dian Nugraha Dianova, Brainvendra Widi Dwiana Hendrawati Dwifayanti, Emelina Dzuhro, Muhammad Syam Elida, Elsa Faizah, Safira Febria Anjara Hamzah Eteruddin Legenda Prameswono Pratama Manfaluthy, Mauludi Maulana, Muhamad Waldi Mohammed, M. N. Muhammad Azril Aryandi Nugraha, Kevin Setya Pratama, Bambang Surya Pratama, Legenda Pramewono Rahmanda, Ibnu Dwi Risma Ekawati, Risma Sadih Saputra Salsabil, Sani Salsabila, Ghina Santoso, Rifaldi Wahyu Saputra, Kalvin Sukmaputra, Dimas Aufa Sundari, Delta Ubaidillah, Aziz Vresdian, Devan Junesco Wilyanti, Sinka Zakia Maulida Antono