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All Journal International Journal of Electrical and Computer Engineering Journal JCONES ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JURNAL NASIONAL TEKNIK ELEKTRO E-Dimas: Jurnal Pengabdian kepada Masyarakat JOIV : International Journal on Informatics Visualization InComTech: Jurnal Telekomunikasi dan Komputer Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Indonesian Journal of Electrical Engineering and Computer Science Madani : Indonesian Journal of Civil Society JMK Jurnal Manajemen dan Kewirausahaan Nusantara Science and Technology Proceedings Jurnal Pengabdian Masyarakat Indonesia Aptekmas : Jurnal Pengabdian Kepada Masyarakat eProceedings of Engineering Jurnal Abdimas
Helmy Widyantara
Institut Teknologi Telkom Surabaya
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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Pengenalan Pemrograman Perangkat Bergerak bagi Siswa SMA/SMK dalam Kegiatan Seminar Ilmiah Populer Online Farah Zakiyah Rahmanti; Bernadus Anggo Seno Aji; Khodijah Amiroh; Helmy Widyantara; Oktavia Ayu Permata; Ignatia Indreswari; Muhammad Iqbal Maulana; Muhammad Rafi Irzam
Jurnal Pengabdian Masyarakat Indonesia Vol 2 No 3 (2022): JPMI - Juni 2022
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpmi.596

Abstract

Kegiatan pengabdian masyarakat ini memiliki latar belakang dimana kegiatan siswa SMA/SMK khususnya anak kelas XII di sekolah pada bulan Mei sudah tidak ada kegiatan akademik. Kegiatan siswa/SMK pada bulan Mei biasanya sedang mengikuti UTBK untuk melanjutkan jenjang pendidikan berikutnya. Kegiatan ini bermaksud untuk memfasilitasi pengetahuan awal di bidang Teknologi Informasi dan Komunikasi (TIK) sebelum siswa SMA/SMK masuk ke bangku perkuliahan. Program kegiatan Seminar Ilmiah Populer (SIP) online merupakan kegiatan pengabdian masyarakat yang memberikan banyak manfaat bagi siswa SMA/SMK yang sedang berada di rumah selama kondisi pandemik. Siswa SMA/SMK mendapatkan banyak ilmu terkait teknologi informasi pada perangkat bergerak. Siswa SMA/SMK dapat mengenal lebih awal tentang pemrograman mobile agar dapat membuat aplikasi yang dapat berjalan pada perangkat bergerak. Perangkat yang dimaksud adalah ponsel pintar, tablet, jam pintar, dan gelang pintar. Tujuan akhir dari program pengabdian masyarakat ini adalah siswa-siswa SMA/SMK dapat menambah wawasannya tentang bagaimana membuat aplikasi perangkat bergerak, serta dapat mengetahui perangkat lunak apa saja yang perlu disiapkan.
Wind direction sensor based on thermal anemometer for olfactory mobile robot Helmy Widyantara; Muhammad Rivai; Djoko Purwanto
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 2: February 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v13.i2.pp475-484

Abstract

A wind direction sensor has been implemented for many applications, such as navigation, weather, and air pollution monitoring. In an odor tracking system, the wind plays the important role to carry gas from its source. Therefore, the precise, low-cost, and effective wind direction sensor is required to trace the gas source. In this study, a new design of wind direction sensor has been developed using thermal anemometer principle with the main component of the positive temperature coefficient thermistor. Three anemometers each of which has different directions are used as inputs for the neural network to determine the direction of the wind automatically.The experimental results show that the wind sensor system is able to detect twelve wind directions. A mobile robot equipped with this sensor system can navigate to a wind source in the open air with a success rate of 80%.This system is expected to increase the success rate of the mobile robot in searching for dangerous leaking gas in the open air.
The Navigasi dan Formasi Kawanan Robot Menggunakan Sistem Pemosisian Lokal dengan Sumberdaya Rendah: Sistem Pemosisian didalam ruangan Helmy Widyantara; Mas Aly Afandi; Ristanti Akseptori; Ubaidilah Umar
JURNAL NASIONAL TEKNIK ELEKTRO Vol 11, No 3: November 2022
Publisher : Jurusan Teknik Elektro Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jnte.v11n3.1023.2022

Abstract

This paper discussed the method of navigation and robot formation in a swarm using the Local Positioning System (LPS) which was applied to the mobile robot's differential steering platform. Navigation and formation of robots in swarm robotics could run well because of the presence of robot position coordinates. In the outdoor application of coordinates, the position of the robot could be obtained easily using the Global Positioning System (GPS), but GPS had drawbacks in indoor applications. In indoor use, signals from satellites were difficult to obtain and inaccurate for use with relatively short distances. In coordinate research, positioning used LPS which was built using Bluetooth Low Energy (BLE). LPS with BLE was successfully built with simple resources and at a low price but had optimal performance. The LPS accuracy built with BLE and the regression algorithm had an error of 4.33% on the X-axis, and 2.67% on the Y-axis. The robot formation utilized a combination of proximity sensors and position coordinates obtained from LPS. The proximity sensor served to detect obstacles that hold the robot towards a predetermined target. The combination of navigation algorithms and swarm formation robotics was proven to be faster at finding targets compared to a single robot.
STRATEGI PENINGKATAN PEMASARAN DAN PENJUALAN PRODUK OLAHAN BUAH MANGROVE MELALUI PEMBUATAN WEBSITE Ubaidillah Umar; Aulia Rahma Annisa; Helmy Widyantara
Aptekmas Jurnal Pengabdian pada Masyarakat Vol 6 No 3 (2023): APTEKMAS Volume 6 Nomor 3 2023
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36257/apts.v6i3.7281

Abstract

Besides being useful for protecting the coast from abrasion, mangrove plants have many other benefits, one of which is the fruit of the mangrove plant. The fruit of this mangrove plant was successfully processed by one of the UKM residents of Medokan Ayu Surabaya, namely "UKM Somano," which utilizes the fruit of the mangrove plant into several processed food and beverage products that have many benefits and are in great demand by the wider community. UKM Somano is indeed considered to have succeeded in making an innovation in processed food and beverage products derived from punch fruit, but in reality, UKM Somano has problems marketing their processed products. So far, Somano's products are only well known through Instagram and the marketplace, but not many people know about Somano's SME products. Therefore, this research proposal proposes the creation of a website and assistance to UKM Somano in terms of digital literacy that contains business profiles of UKM Somano and displays various products processed from mangrove fruit. With the creation of a website and digital literacy assistance for Somano SMEs, it is hoped that more and more members of the general public will know that mangrove fruit can be processed into various superior product innovations and can help increase the amount of production by Somano SMEs.
Peningkatan Kualitas Tri Dharma Perguruan Tinggi Melalui Pelatihan SISTER Pada STAI Ali bin Abi Thalib Purnama Anaking; Yupit Sudianto; Helmy Widyantara
Madani : Indonesian Journal of Civil Society Vol. 6 No. 1 (2024): Madani : Februari 2024
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/madani.v6i1.1704

Abstract

STAI Ali bin Abi Talib is one of the private Islamic universities in Surabaya. There are problems where changes in lecturer data (PDD) and others are still done manually in the form of physical files that are brought to Kopertais IV which oversees it. Whereas the Directorate General of Science and Technology Resources (SDID) of the Ministry of Research, Technology and Higher Education through circular letter at 2018 has provided direction on the implementation of the Integrated Resource Information System (SISTER) in public and private universiAties. To support this policy, universities need a special party or team to assist the application of technology so that the implementation of SISTER can run well, helping academic activities, data changes, and the tri dharma of lecturers in the future. Community service activities by the Telkom Institute of Technology Surabaya team at STAI Ali bin Abi Thalib were presented and carried out in six stages, starting from literature study, server configuration, preparation of presentation materials and training modules, SISTER application installation process, training, and evaluation. This activity resulted in the SISTER application installed on the STAI Ali bin Abi Thalib server which can be accessed online and also training that provides comprehensive knowledge, skills on the use of the SISTER application and debriefing with 10 video guides and 15 training modules for STAI Ali bin Thalib Surabaya.
Perangkat Budidaya Microgreen berbasis Internet of Things AFANDI, MAS ALY; FADHLAN, FATHURROZAQ; ROCHMANTO, RADITYA ARTHA; WIDYANTARA, HELMY
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 10, No 3: Published July 2022
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v10i3.581

Abstract

ABSTRAKMicrogreen merupakan sayuran muda yang lebih kaya akan gizi jika dibandingkan dengan sayuran dewasa. Sayuran ini dibudidayakan dengan waktu yang cepat sekitar 10 – 14 hari setelah proses pembibitan. Masa yang cepat ini menuntut pemeliharaan yang baik. Kebutuhan ini mendorong penelitian tentang perangkat budidaya microgreen yang mampu mengontrol kelembapan dan intensitas cahaya. Penelitian ini bertujuan untuk membuat media sarana perangkat budidaya microgreen berbasis Internet of Things. Perangkat ini memberikan hasil yang baik dengan nilai akurasi pada pembacaan kelembapan 15% 30%, 60%, 80%, dan 90% masing-masing sebesar 93,47%, 96,29%, 98,83%, 97,08%, dan 99,05%. Sedangkan akurasi pada pembacaan intensitas cahaya pada jarak 10 cm dan 15 cm masing-masing sebesar 99,98% dan 99,85%. Waktu tunda yang dibutuhkan untuk mengirim ke IoT platform adalah 0,5 – 2 s. Perangkat ini mampu membaca parameter dengan baik dan dikirimkan ke cloud Antares.Kata kunci: microgreen, sayuran, Internet of Things, akurasi, kelembapan media ABSTRACTMicrogreens are young vegetables but more nutritious compared to mature vegetables. Microgreens are cultivated with a fast time period around 10-14 days after the seeding process. This fast period requires good maintenance by keeping the media moist and light requirements on microgreens. This need encourages research on microgreen cultivation devices that are able to control humidity and light intensity. This study aims to create a microgreen cultivation device based on the Internet of Things. This device gives good results with accuracy values at 15%, 30%, 60%, 80%, dan 90% humidity readings of 93,47%, 96,29%, 98,83% 97,08%, and 99,05% respectively. Meanwhile, the accuracy in light intensity reading at a distance of 10 cm and 15 cm is 99,98% and 99,85%, respectively. The delay time required to send to the IoT platform is 0,5 – 2 s. This device is can read all parameter and send it to Antares IoT platform.Keywords: microgreen, vegetable, Internet of Things, accuracy, soil moisture
Penerapan Edge Computing pada Pertanian untuk Efisiensi Jaringan dan Optimalisasi Komputasi Tjahyadi, Nathanael; Widyantara, Helmy; Briantoro, Hendy
eProceedings of Engineering Vol. 12 No. 2 (2025): April 2025
Publisher : eProceedings of Engineering

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

Abstract

Edge computing merupakan paradigma komputasi yang mendistribusikan proses pengolahan data ke perangkat tepi (edge devices) untuk meningkatkan efisiensi dan responsivitas jaringan. Dalam sektor pertanian, penggunaan edge computing menjadi semakin penting untuk memastikan keberlanjutan dan efisiensi operasional, terutama di daerah yang memiliki keterbatasan konektivitas internet. Penelitian ini bertujuan untuk mengembangkan dan mengimplementasikan solusi edge computing di bidang pertanian yang dapat meminimalisir hilangnya data saat koneksi internet dari perangkat edge ke komputasi awan atau server online terputus. Selain itu, sistem ini dirancang untuk melakukan pengolahan data secara lokal menggunakan Node-RED, sehingga memungkinkan analisis data yang lebih cepat dan pengambilan keputusan yang lebih tepat waktu. Kata Kunci — Edge Computing, Optimalisasi Jaringan, Optimalisasi Komputasi
Pembuatan smart urban farming berbasis internet of things untuk kelompok tani Kamali, Muhammad Adib; Amiroh, Khodijah; Widyantara, Helmy; Hariyanto, Muhammad Dwi
Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Vol 6 No 2 (2023)
Publisher : University of Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/jipemas.v6i2.19289

Abstract

Masyarakat yang tergabung dalam kelompok tani di bawah binaan Dinas ketahanan pangan dan pertanian (DKPP) surabaya seluruhnya bertani secara konvensional. Pertanian di wilayah perkotaan memiliki tantangan tersendiri, seperti lahan terbatas, kualitas tanah yang buruk, dan kekurangan air. Oleh karena itu, dibutuhkan solusi yang inovatif untuk meningkatkan produksi pertanian di wilayah perkotaan. Kegiatan pengabdian masyarakat ini ditujukan untuk membantu DKPP membina kelompok tani untuk meningkatkan kualitas hasil panen dan efisiensi dalam menjalankan proses pertanian. Metode kegiatan ini disusun berdasarkan Participatory Action Research (PAR) untuk menghasilkan pengetahuan yang berguna dan praktis. Tahapan pelaksanaan kegiata terdiri dari 4 tahap yaitu identifikasi masalah melalui focus group discussion (FGD), perangcangan alat, pelatihan serta serah terima alat, dan evaluasi. Hasil dari pengabdian ini menunjukkan masyarakat kelompok tani dapat mempertahankan kualitas media tanam, yang sangat penting untuk pertumbuhan dan perkembangan tanaman dengan lebih mudah dan efisien. Dengan adanya sistem smart farming yang telah dihasilkan, diharapkan dapat meningkatkan efisiensi dan produktivitas pertanian, sehingga dapat meningkatkan ketersediaan pangan dan kesejahteraan masyarakat.
Peningkatan Kualitas Tri Dharma Perguruan Tinggi Melalui Pelatihan SISTER Pada STAI Ali bin Abi Thalib Purnama Anaking; Yupit Sudianto; Helmy Widyantara
Madani : Indonesian Journal of Civil Society Vol. 6 No. 1 (2024): Madani : Februari 2024
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/madani.v6i1.1704

Abstract

STAI Ali bin Abi Talib is one of the private Islamic universities in Surabaya. There are problems where changes in lecturer data (PDD) and others are still done manually in the form of physical files that are brought to Kopertais IV which oversees it. Whereas the Directorate General of Science and Technology Resources (SDID) of the Ministry of Research, Technology and Higher Education through circular letter at 2018 has provided direction on the implementation of the Integrated Resource Information System (SISTER) in public and private universiAties. To support this policy, universities need a special party or team to assist the application of technology so that the implementation of SISTER can run well, helping academic activities, data changes, and the tri dharma of lecturers in the future. Community service activities by the Telkom Institute of Technology Surabaya team at STAI Ali bin Abi Thalib were presented and carried out in six stages, starting from literature study, server configuration, preparation of presentation materials and training modules, SISTER application installation process, training, and evaluation. This activity resulted in the SISTER application installed on the STAI Ali bin Abi Thalib server which can be accessed online and also training that provides comprehensive knowledge, skills on the use of the SISTER application and debriefing with 10 video guides and 15 training modules for STAI Ali bin Thalib Surabaya.
Optimizing YOLOv8 for Enhanced Melon Maturity Detection with Attention Mechanisms: A Case Study from Puspalebo Orchard Umar, Ubaidillah; Sardjono, Tri Arief; Kusuma, Hendra; Yani, Mohamad; Widyantara, Helmy
JOIV : International Journal on Informatics Visualization Vol 9, No 3 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.3.2942

Abstract

Enhancing fruit maturity detection is crucial in the agricultural industry to ensure product quality and reduce post-harvest losses. However, commonly used maturity detection methods still rely on human visual inspection, which is prone to errors and assessment variability. Challenges like lighting variations, complex backgrounds, and diverse environmental conditions often complicate accurate and efficient detection. This study aims to develop and evaluate an optimized YOLOv8 model with attention mechanisms to detect melon maturity. The dataset was obtained from Puspalebo Orchard in East Java, Indonesia, comprising over a thousand melon images divided into three subsets: 70% for training, 20% for validation, and 10% for testing. The YOLOv8 model was modified to support the integration of attention mechanisms to enhance focus on significant features and detection accuracy. Data augmentation techniques were applied to capture environmental condition variations, improving the model's robustness. Evaluation on the validation subset showed a precision of 0.979 for all classes, recall of 0.962, mAP@50 of 0.981, and mAP@50-95 of 0.941. The model also demonstrated high efficiency for real-time applications with a preprocessing time of 0.1ms, inference time of 0.9ms, and post-process time of 0.9ms per image. The results of this study show advantages in detection detail, adaptability, and real-time efficiency compared to other studies in the past five years. Some weaknesses were identified, such as implementation complexity and the need for a large dataset. The developed YOLOv8 model improves melon maturity detection performance, offering a more accurate, efficient, and adaptive solution for the agricultural industry.
Co-Authors Achmad Yanu Aliffianto Adiputra, Dimas Aditya Prima Suparno, Aditya Prima Afandi, Mas Aly Andi Divangga Pratama , Moch. Andrew Brian Osmond Anifatul Faricha Aufa Ulinuha, Panji Aulia Rahma Annisa Basuki Rahmat Bayu Dadang Pribadi Bernadus Anggo Seno AjiAji Chokoh Setyo Utomo Djoko Purwanto Dominggo Bayu Baskara Dwi Edi Setyawan DWI SURYANTO Dwi Wahyu Saputra FADHLAN, FATHURROZAQ Farah Zakiyah Rahmanti Galih Kusuma Wardana Harianto Harianto Hariyanto Hariyanto Hariyanto, Muhammad Dwi Hendra Kusuma Hendy Briantoro Ignatia Indreswari Ira Puspasari Irwan Afandi, Mohamad Isa Hafidz Khodijah Amiroh Ma'ruf Firmansyah, Muhammad Madha Christian Wibowo Madha Christrian W. Minto Waluyo Moh. Yani Mohammad Yanuar Hariyawan Montolalu, Billy Muhammad Adib Kamali Muhammad Iqbal Maulana Muhammad Rafi Irzam Muhammad Rivai Muhammad Rivai Oktavia Ayu Permata Pambudi, Sandhi Yuda Pauladie Susanto Purba Daru Kusuma Purnama Anaking Purnama Anaking Rachmawati Oktaria Mardiyanto, Rachmawati Oktaria Ratih Kesuma Dewi Reza Alauddin Albanna Ristanti Akseptori Rochmanto, Raditya Artha Seno Adi Putra Shochibah Yatimatul Asmak, Shochibah Yatimatul Sukma Ardihantoko, Irdani Therzian Richard Perkasa Tjahyadi, Nathanael Toto Alfian Wahyuono, Toto Alfian Tri Arief Sardjono Tuhu Agung Rachmanto Ubaidilah Umar Ubaidillah Umar, Ubaidillah Wahyu Andy Prastyabudi Wali Satria Bahari Johan, Ahmad Yanuhar Prabowo Yupit Sudianto