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All Journal Tekno : Jurnal Teknologi Elektro dan Kejuruan SMATIKA Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer JIKO (Jurnal Informatika dan Komputer) CIRCUIT: Jurnal Ilmiah Pendidikan Teknik Elektro Jurnal Teknoinfo J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Tekno Kompak Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Pengabdian Kepada Masyarakat Ungu ( Abdi Ke Ungu) IJPD (International Journal Of Public Devotion) JTIKOM: Jurnal Teknik dan Sistem Komputer Jurnal Teknologi dan Sistem Tertanam Jurnal Informatika dan Rekayasa Perangkat Lunak Jurnal Teknologi dan Sistem Informasi Journal Social Science And Technology For Community Service J-SAKTI (Jurnal Sains Komputer dan Informatika) jimel Jurnal Telematics and Information Technology (TELEFORTECH) Jurnal Locus Penelitian dan Pengabdian Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) COMMENT: Journal of Community Empowerment Jurnal Mutiara Elektromedik Journal of Engineering and Information Technology for Community Service Malcom: Indonesian Journal of Machine Learning and Computer Science Prosiding Seminar Nasional Rekayasa Teknologi Industri dan Informasi ReTII Jurnal Pengabdian kepada Masyarakat (Nadimas) Jurnal Media Borneo Jurnal Informatika: Jurnal Pengembangan IT Journal of Artificial Intelligence and Technology Information Journal of Information Technology, Software Engineering and Computer Science Jurnal Indonesia : Manajemen Informatika dan Komunikasi Smatika Jurnal : STIKI Informatika Jurnal Dharma Nusantara: Jurnal Ilmiah Pemberdayaan dan Pengabdian kepada Masyarakat Jurnal Komputasi Journal of Soft Computing Exploration
S. Samsugi
Universitas Teknokrat Indonesia
Aerospace Engineering Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

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Teknologi Deteksi Dini Banjir Daerah Aliran Sungai menggunakan Heltec Wifi LoRa 32 V2 Amanda, Feby; Samsugi, Selamet; Styawati, Styawati; Alim, Syahirul
Jurnal Informatika: Jurnal Pengembangan IT Vol 9, No 1 (2024)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v9i1.5892

Abstract

In Indonesia there are often natural disasters, one of which is flooding. Flooding is a natural disaster that is marked by the overflowing of river water irrigation channels in urban areas, one is the river Irrigation that exists at the Technokrat University of Indonesia. Therefore, the study aims to develop a flood early detection tool using LoRa (Long Range) technology to monitor potential flooding in Kalibalau, Indonesian Technocratic University, Bandar Lampung. The research method involves installing an ultrasonic sensor in the Kalibalau River and connecting it to the Heltec Wifi LoRa 32 V2 microcontroller. Test results show that the LoRa transmitter and receiver operate as planned. This tool does not require an internet connection because it uses the Heltec Wifi LoRa 32 V2. The status of the river is categorized into four: Safe, Alert 1, Alert 2, and Danger, with appropriate warnings. The test showed a delay of 5 seconds on the water height reading. At safe (water height 44 cm), the buzzer does not sound. At morning 1 (water altitude 82 cm), it sounds once with a 1 minute delay. The device has a communication capacity of up to 400 meters. Thus, the tool is effective in monitoring the Kalibalau river and giving early warning of potential floods. This research has contributed to the development of flood monitoring technology to increase public alertness and safety in flood-prone areas
Implementasi Sistem Monitoring Lingkungan Pada Budidaya Tanaman Hidroponik Berbasis IoT Pratama, Ariski; Styawati, Styawati; Samsugi, Selamet; Alim, Syahirul
Jurnal Informatika: Jurnal Pengembangan IT Vol 9, No 1 (2024)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v9i1.6649

Abstract

The increase in population and the reduction of agricultural land are major concerns in Indonesia. The country's population rose from 244,016,173 in 2010 to 277,534,122 in 2023, raising food needs. Population growth promotes the use of pesticides to protect agriculture;ntegration of hydroponic automation technology in households with limited land, such as for salad and sawmills, is expected to meet increasing food needs, reduce environmental impact, and improve well-being, in line with the SDGs.  however,excessive use can lead to environmental damage, water pollution, and health risks for humans. In addressing this problem, hydroponic planting media became a potential solution. Hydroponics is the cultivation of plants without soil, using a nutrient solution. This technology supports the Sustainable Development Goals (SDGs) with clean and sustainable crop growth. Integration of hydroponic automation technology for households with limited land, such as for salad and sawmills, is expected to meet increasing food needs, reduce environmental impact, and improve well-being, in line with the SDGs. Thus, hydroponics can be an effective solution in addressing the agricultural challenges facing Indonesia
Implementasi Elliptic Curve Digital Signature Algorithm Untuk Smart Gerobak Sorong Dalam Monitoring Pakan Ternak Alvi Suhartanto; Heni Sulistiani; Selamet Samsugi; Reflan Nuari; Izudin Ismail
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 14 No 01 (2024): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v14i01.1231

Abstract

The Internet of Things (IoT) implementation in the livestock sector includes the use of sensors, software and internet-based platforms to monitor, manage and optimize in real-time. This research is intended to solve problems at PT. Indo Prima Beef noted that the use of animal feed is still based on estimates, resulting in the calculation of the selling price of cattle being inaccurate and potentially detrimental. Manual recording which is prone to errors and less efficient causes uncertainty in feed management and costs. Therefore, this research develops an IoT-based tool that is integrated in a wheelbarrow. This tool is capable of reading the results of weighing animal feed and storing the data in real-time in a database connected to web monitoring. Apart from that, the monitoring application can display recap results of cow feed weights, there are also features that support optimal use of the Smart Gerobak Sorong. The method used in this research is applying the Elliptic Curve Digital Signature Algorithm as a safeguard for data communication between IoT and the database. Based on the test results on a cow's feed weight of 10.6 kg, a difference value of 0.11 kg was obtained. This means that the average error value is 0.01%. So, it can be concluded that the loadcell sensor can read mass data for weighing cattle feed with the same load. With this tool, PT. Indo Prima Beef can increase the efficiency of feed use, optimize business income, and provide innovative and effective solutions in overall animal feed management.
Pelatihan Pembuatan Teknologi Irigasi Tetes berbasis IoT di SMK AL HUDA Jati Agung Styawati Styawati; Selamet Samsugi; Jefri Andri Rifai; Rizki Devi Anggita; Akhmad Febriyo Febriyansyah; Imelda Dwi Mariska; Moris Cahyadi
Dharma Nusantara: Jurnal Ilmiah Pemberdayaan dan Pengabdian kepada Masyarakat Vol. 2 No. 1 (2024): Dharma Nusantara: Jurnal Ilmiah Pemberdayaan dan Pengabdian kepada Masyarakat
Publisher : LPPM Universitas Bhinneka Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/dharma.v2i1.1357

Abstract

SMK Al HUDA Jati Agung Lampung Selatan memiliki jurusan yang mempelajari Internet of Things (IoT) yaitu jurusan Teknik Komputer dan Jaringan (TKJ). Pemanfaatan teknologi dapat berperan dalam mendukung kecerdasan buatan yang menggunakan jaringan sebagai perantaranya. Pelatihan pembuatan teknologi irigasi tetes ini meningkatkan pengetahuan terkait penerapan IoT kepada siswa siswi SMK AL HUDA Jati Agung. Hal ini dibuktikan dari hasil kuesioner yang dilakukan sebelum kegiatan dan setelah kegiatan. Hasil kuesioner menunjukan bahwa terjadi peningkatan keterampilan mitra dalam pemahaman pembuatan teknologi irigasi tetes berbasis IoT sebanyak 44.59%.
Implementasi Internet of Things pada Smart Aquaponics Menggunakan Sensor Level Air dan Sensor BH1750 untuk Monitoring Parameter Lingkungan Berbasis Web Dashboard: Implementation of an Internet of Things-Based Smart Aquaponics Using Water Level and BH1750 Light Sensors with Web-Based Environmental Monitoring Darmayanti, Fera; Samsugi, S.
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 6 No. 2 (2026): MALCOM April 2026
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v6i2.2582

Abstract

Sistem  aquaponik merupakan metode  budidaya yang menggabungkan perikanan dan pertanian dalam satu ekosistem, sehingga memerlukan monitoring parameter lingkungan secara optimal dan akurat. Permasalahan dalam sistem ini adalah kurangnya pemantauan kondisi volume air dan intensitas cahaya secara langsung, yang menimbulkan dampak pada pertumbuhan dan kesehatan ikan. Oleh karena itu, penelitian ini bertujuan untuk merancang dan mengimplementasikan sistem smart aquaponics berbasis Internet of Things yang dapat memonitor level air dan intensitas cahaya melalui dashboard web. Sistem ini memanfaatkan sensor ultrasonik HC-SR04 sebagai pengukur level air dan sensor cahaya BH1750 sebagai pendeteksi intensitas cahaya. Hasil pengujian menunjukkan bahwa sensor ultrasonik memiliki error rate 0,70%, nilai MAE 0,54, dan standar deviasi 0,21, sedangkan sensor cahaya BH1750 memiliki error rate 0,35%, nilai MAE 0,35 lux, dan standar deviasi 0,12 lux. Rata-rata cahaya yang terukur sebesar 216,1 lux dengan kategori cukup terang untuk keperluan monitoring. Berdasarkan hasil pengujian tersebut, sistem mampu melakukan monitoring parameter lingkungan aquaponik secara akurat, stabil, dan real-time sehingga dapat mendukung pengelolaan sistem aquaponik serta menjadi solusi monitoring lingkungan aquaponik berbasis IoT dan menjadi dasar pengembangan sistem lebih lanjut.
Penerapan Metode Waterfall dalam Pengembangan Sistem Persediaan Ayam Boiler Berbasis Web Mobile Anan Krisna; Debby Alita; Slamet Samsugi
Journal of Artificial Intelligence and Technology Information (JAITI) Vol. 3 No. 2 (2025): Volume 3 Number 2 June 2025
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v3i2.204

Abstract

Berkah Unggas Farm Jati Agung merupakan salah satu bentuk usaha perseorangan yang bergerak di bisnis jual beli ayam boiler. Berdasarkan wawancara terhadap pemilik Berkah Unggas Farm bahwa proses pengolahan data persediaan ayam yaitu pengolahan dan pencatatan yang masih menggunakan cara manual (perekapan menggunakan buku besar) sehingga ketidakakuratan data, ada risiko kesalahan manusia yang tinggi, seperti kesalahan penulisan data, seperti stok yang tercatat salah atau kesalahan dalam pencatatan transaksi. Ketidakakuratan data dapat menyebabkan keputusan yang salah dan mengganggu efisiensi operasional masuk dan keluar ayam boiler. Berdasarkan masalah tersebut dibuatlah sistem pengelolaan ayam boiler berbasis mobile web. Sistem tersebut, dirancang dan dibangun menggunakan metode pengembangan sistem waterfall, serta sistem diuji dengan menggunakan ISO 25010. Sistem yang telah dibangun dapat membantu proses pengolahan data persediaan ayam yang menghasilkan data yang lebih akurat, meminimalisir adanya risiko kesalahan manusia khususnya dalam pengolahan data, seperti kesalahan penulisan data, seperti stok yang tercatat salah atau kesalahan dalam pencatatan transaksi, mempermudah pengelolaan persediaan ayam boiler lebih cepat dari sistem sebelumnya. Hasil pengujian kelayakan sistem menggunakan ISO 25010 mendapatkan hasil sebesar 97%. Secara skala likert bahwa kelayakan sistem informasi yang telah dibuat memiliki keberhasilan Sangat Baik, sehingga sistem layak diterapkan dan diimplementasikan di Berkah Unggas Farm Jati Agung.
Implementasi Pakan Ikan Dengan Sistem Pelontar Berbasis Sistem Tertanam aji saputra; Selamet Samsugi; styawati styawati
Jurnal Komputasi Vol. 12 No. 1 (2024): Jurnal Komputasi
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v12i1.240

Abstract

Freshwater fish farming has high appeal among the public, however the process of feeding fish is still mostly done manually using traditional methods that are less effective. This article discusses the implementation of fish feed with a throwing system based on an integrated system using an ultrasonic sensor, DC motor, and 5V relay with an Arduino Uno microcontroller. Feeding fish is an important aspect of fish farming. Currently, fish feeding methods are still mostly done manually by throwing bait by hand. These manual techniques tend to be ineffective and can result in irregular feeding. For example, using a bucket to throw food directly into a fish pond can cause the fish to eat too much without proper control. This can result in excessive feeding, additional costs, and poor air quality. Therefore, it is necessary to develop an automatic and programmed fish food throwing system to increase the efficiency and effectiveness of feeding. It is hoped that the use of ultrasonic sensors, DC motors and 5V relays with the Arduino Uno microcontroller can provide a solution to overcome this problem. The main objective of this research is to design and implement an embedded system-based fish feed launcher that can provide feed automatically with good control. This system is expected to improve fish quality, reduce additional costs, and provide convenience for fish farmers. The problem that this tool wants to solve is how to increase the efficiency and effectiveness of fish feeding in freshwater fish farming. Currently, feeding is still done manually, and uncontrolled feeding frequency can result in problems such as excessive feeding and poor air quality. The implementation of a throwing system based on an embedded system with an ultrasonic sensor is expected to be able to overcome this problem by providing feed automatically and programmed. Thus, this research aims to create innovative solutions in fish feeding that can increase production efficiency and the welfare of fish farmers.
A deep learning-based leaf aphid detection approach using YOLOv8 Styawati, Styawati; Sulistiani, Heni; Puspaningrum, Ajeng Savitri; Alita, Debby; Samsugi, S.; Putri, Vanisa Adellia
Journal of Soft Computing Exploration Vol. 7 No. 1 (2026): March 2026
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v7i1.9

Abstract

Aphids pose a serious threat to agricultural productivity due to their rapid reproduction and their role as plant virus vectors. Early manual detection is difficult due to the pests' microscopic size and tendency to hide under leaves. This study aims to develop an accurate and real-time aphid monitoring system using the YOLOv8 algorithm. The model was trained using four epoch scenarios (30, 50, 100, and 200) to identify the best configuration to address the challenges of small, overlapping objects and varying leaf backgrounds. The results showed that increasing the number of epochs positively correlated with model performance, with the 200-epoch scenario providing the most optimal results with 91.5% accuracy, 0.87 recall, 0.89 F1-score, and 0.915 mAP50. The model was then integrated into a smart monitoring dashboard that synchronizes visual detection results with IoT sensor data (temperature, humidity, and nutrients) in real time. This system not only validates the reliability of YOLOv8 under field conditions, but also provides an effective early warning system to support rapid decision-making in crop protection management.
MIKROKONTROLER UNTUK PERANCANGAN KONTROL TEMPERATUR PADA ALAT BLOOD INFUSION WARMER Praptiwi, Riska Amalia; Ikhsan, Muhammad; Samsugi, S.
JURNAL MUTIARA ELEKTROMEDIK Vol. 9 No. 1 (2025): Jurnal Mutiara Elektromedik
Publisher : Prodi Teknik Elektromedik Universitas Sari Mutiara Indonesia

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

Abstract

Salah satu prosedur medis yang umum dilakukan untuk menyelamatkan pasien adalah tranfusi darah. Suhu darah yang terlalu rendah atau tinggi dapat menimbulkan komplikasi medis, maka selama transfusi sangat penting untuk menjaga suhu darah pada tingkat yang tepat. Sehingga pada penelitian ini bertujuan untuk membantu mengatasi masalah tersebut dengan merancang dan mengembangkan kontrol temperatur pada alat blood infusion warmer berbasis mikrokontroler. Mikrokontroler merupakan pengendali utama karena dapat mempertahankan suhu darah pada rentang suhu yang aman(36-37 °C). Terdapat sensor suhu berfungsi untuk memantau suhu darah dan mengirimkan data ke mikrokontroler dan dilanjutkan pengaturan elemen pemanas. Selanjutnya untuk memudahkan dalam mengoperasikan perangkat maka alat ini juga dilengkapi dengan antarmuka pengguna yang mudah dipahami. Pada hasil pengujian mendapatkan bukti akurasi yang tinggi. Sehingga alat pemanas infus darah ini dapat mempertahankan suhu darah dalam batas yang diinginkan. Selanjutnya diharapkan alat ini dapat menjadi alternatif dalam membantu praktik medis secara efisien.
Co-Authors Achmad Irvandi Yusuf Adam Saputra Ade Setiawan Ade Surahman Ady Candra Nugroho Ady Chandra Agum Anantama Agustian, Rezi Dwi Ajeng Savitri Puspaningrum aji saputra Akhmad Febriyo Febriyansyah Aldi Bagus Prasetyo Alita, Debby Alvi Suhartanto Alvi Suhartanto Amalia, Zahrina Amanda, Feby Anan Krisna Anang Burlian Andi Nurkholis Anisyah Apriyantina Ardian syah Ardiansyah Ardiansyah Arinda Rifaini Ashabi Tohir Asyad, Chafidz Bagas Setiawan Bagas, Prasetyo Berlintina Permatasari Bima Ghafaral Candra, Arif Mei Chafizd Chafizd Cinthya Bella Damayanti, Damayanti Darmayanti, Fera desi damayanti Dewa, Ananda Asmoro Dian Nursintawati Dian Pratiwi Dian Tri Saputra Doni Elvis Silaban Dwi Gema Dyan Kastutara Edistira, Khusnul Eliasta Ketaren Emi Suwarni Erliyan Redy Susanto Erliyan Redy Susanto Euis Amanah Fahri Aulia Hasbi Fandi Dian Nugraha Farli Rossi Feby Amanda Feby Amanda Fenty ariany Fika Trisnawati Harry Anggono Heni Pujiastuti Heni Sulistiani Hilma Putri Fidyandini I Gusti Made Ngurah Desnanjaya Ida Bagus Gede Sarasvananda Imam Ahmad Imelda Dwi Mariska Indraningtyas, Lathifa Izudin Ismail Jaka Persada Sembiring Jefri Andri Rifai Jupriyadi, Jupriyadi Krisna, Anan Lathifah L Lathifah Lathifah Leny Meilisa Lili Andraini Lulud Oktaviani M. Fitratullah mai diana Megawati, Dyah Ayu Meitrinova Y.S Moris Cahyadi Muhamad Taufik Adha Pratama Muhammad Bakri Muhammad Fitratullah Muhammad Ikhsan Muhammad Irfan Hafidhin Muhammad Randyka Rojat Ndaru Kristiawan Neneng Neneng Neneng, N Nike Kristanti Parjito, Parjito Permata Permata Pindrayana, Kadek Prabowo, Rizky Praptiwi, Riska Amalia Prasetyawan, Purwono Prasetyo, Bagas Prastowo, Agung Tri Pratama, Ariski Pratama, Edvan Agus Priandika, Adhie Thyo Prio Agung Nugroho Putra, M. Pajar Kharisma Putri, Vanisa Adellia Rahmat Dedi Gunawan Reflan Nuari Rendy Pratama Restu Ibrahim Adam Richo Fajar Pratama Ridho, Yusuf Riska Amalia Praptiwi Rizki Devi Anggita Rohmat Indra Borman Ryan Ajie Prasetyo Ryan Dika Pratama Sampurna Dadi Riskiono Saputra, Dian Tri Setiawansyah Setiawansyah Sinta, Ratna Sari Roma Siska Ayu Widiana Siti Suliah Styawati Styawati Styawati, Styawati Suhadi, Miki Suprapto, Galih Naufal Falikh Syahirul Alim Syaiful Ahdan Tiara Azizul Andika Titin Yulianti Tri Widodo Wawan Kurniawan Wibowo Wulan Agustin Yogi Irawan Yuri Rahmanto Yusra Fernando Zainabun Mardiyansyah Zidane, Ahmad Rifqi