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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Robotics and Automation (IJRA) TELKOMNIKA (Telecommunication Computing Electronics and Control) Sinergi Jurnal Teknologi Elektro ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika InComTech: Jurnal Telekomunikasi dan Komputer Techne : Jurnal Ilmiah Elektroteknika MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Petir TESLA: Jurnal Teknik Elektro Minda Baharu TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol CCIT (Creative Communication and Innovative Technology) Journal Jurnal Abdi Masyarakat (JAM) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Abdimas ADPI Sains dan Teknologi Jurnal Profesi Insinyur Universitas Lampung Journal of Integrated and Advanced Engineering (JIAE) Formosa Journal of Science and Technology (FJST) Internet of Things and Artificial Intelligence Journal International Journal of Engineering Continuity Jurnal INFOTEL Metrik Serial Humaniora dan Sains SNTE Journal of Innovation and Community Engagement
Setiyo Budiyanto
Universitas Mercu Buana
Arts Humanities Astronomy Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry 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 Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

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Pelatihan Impedance Matching Circuits dengan Aplikasi Smith Chart dari Playstore Android Imelda Uli Vistalina Simanjuntak; Lukman Medriavin Silalahi; Freddy Artadima Silaban; Setiyo Budiyanto Budiyanto; Agus Dendi Rochendi
Jurnal Abdimas ADPI Sains dan Teknologi Vol. 2 No. 2 (2021): Jurnal Abdimas ADPI Sains dan Teknologi
Publisher : Asosiasi Dosen Pengabdian kepada Masyarakat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47841/saintek.v2i2.233

Abstract

Industry demand for skilled human resources presents a challenge for every school graduate to conduct various competency and skills training. So, the solution to meet industry challenges is a training on the application of science and technology for the community entitled "Introduction to the Raspberry Pi Electronic Components for Students in Kembangan Utara". The final output of this activity is to provide training and counseling on the Raspberry Pi module, in this case the design of a simple Water Irrigation system, using a water level detector as input information that will be processed and processed by the Raspberry Pi. The results of this community service activity were that students were introduced to a mini computer device called the Raspberry Pi and its application.
Internet of things implementation and analysis of fuzzy Tsukamoto in prototype irrigation of rice Lukman Medriavin Silalahi; Dimas Jatikusumo; Setiyo Budiyanto; Freddy Artadima Silaban; Imelda Uli Vistalina Simanjuntak; Agus Dendi Rochendi
International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 6: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v12i6.pp6022-6033

Abstract

This research raises the topic of modern technology in the field of rice fields. The problem in this research is determining the fuzzy inference system algorithm for electronic engineering. The prototype was built by Raspberry Pi and python-based to the internet of things. The objective of this research is to design a new model for the rice field monitoring/control system and display every condition based on the internet of things. So that the hypothesis of this research can answer the phenomena that occur in rice fields, including drought problems, maintained plant conditions. The test results showed that irrigation control automatically runs optimally by scheduling, automatic irrigation control of water pH degree value detection analyzed by fuzzy Tsukamoto method at Z=3.5 defuzzification value for low and high irrigation control, and Z value=1.83 for normal irrigation control. Furthermore, the scheduling of spraying liquid fertilizer obtained the results of duration for 60 min in accordance with the needs of fertilizer dose. Lastly, for monitoring data on the website successfully accessed anywhere from the use of hosting servers and domains. Finally, it can be concluded that fuzzy Tsukamoto's algorithm is appropriate to be applied to the modern rice field system.
PELATIHAN APLIKASI JUALAN ONLINE BAGI PKBM DI MERUYA SELATAN Setiyo Budiyanto; Badaruddin Badaruddin; Lukman Medriavin Silalahi; Fajar Rahayu
MINDA BAHARU Vol 6, No 2 (2022): Minda Baharu
Publisher : Universitas Riau Kepulauan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33373/jmb.v6i2.2866

Abstract

Kebutuhan kewirausahaan bagi generasi muda milenial dan didukung dengan perkembangan teknologu mutakhir terkini sehingga mampu meningkatkan daya persaingan untuk memperoleh pekerjaan pada dewasa ini. Objek pengabdian masyarakat terletak di Pusat Kegiatan Belajar Masyarakat (PKBM) Wiyata Utama yang berfokus pada menciptakan tenaga manusia yang unggul dalam persaingan global. Pengenalan teknologi jualan On-Line merupakan hasil penerapan teknologi informasi dibidang kewirausahaan. Peserta didik program pengabdian kepada masyarakat ini diharapkan memiliki peluang besar untuk meningkatkan ketrampilan di bidang teknologi informasi serta dapat membuka peluang usaha. Program ini merupakan bagian dari Tri Dharma perguruan tinggi, adapun peserta pelatihan ini merupakan siswa PKBM Wiyata Utama. Tujuan yang dicapai adalah peserta pelatihan dapat membaca peluang wirausaha yang dapat dilaksakan secara online. Hasil akhir yang dicapai dalam pengabdian kepada masyarakat ini adalah peserta memberikan tanggapan membangun dan berharap agar kegiatan ini sering diadakan baik dengan topik pelatihan yang terkini.
Solar Panel Drive Design Based Internet of Things Freddy Artadima Silaban; Arga Gilang Rolanda; Lukman Medriavin Silalahi; Setiyo Budiyanto
CCIT Journal Vol 16 No 1 (2023): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (806.92 KB) | DOI: 10.33050/ccit.v16i1.2363

Abstract

Indonesia is located on the equator which makes the island irradiated by the sunlight from 10 to 12 hours per day. The use of solar cell panels is generally placed in certain positions without change. For the optimal consumption of solar energy, then we need a system that follows the sun called a solar tracking system. Research the solar tracker automatically moves on an edge 0° - 180° and otherwise. To control or operate solar cells and easier the maintenance process of solar cell panels, then we need a system called IoT (Internet of Things) combine with microcontroller ESP8266 access on the Thingspeak application. The result of this study shows servo motors moved every 1 hour by 20 degrees from 6 am to 5 pm by the solar panels. Equipped with sensors INA219 to know the results of the solar energy that absorbs by the solar cells and shown on the Thingspeak application.
Penyempurnaan Sistem Inkubator Bayi Berbasis FLC Menggunakan Algoritma Genetika Setiyo Budiyanto; Lukman Medriavin Silalahi; Dadang Gunawan; Erry Yulian Triblas Adesta
JURNAL INFOTEL Vol 15 No 3 (2023): August 2023
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v15i3.991

Abstract

This research problem focuses on treating premature babies due to hypothermia so that the baby must be put in an incubator for several days. Conventional intensive care method in premature babies, namely skin-to-skin care method between mother and child. Meanwhile, the latest technological developments, the method is already based on electrical-Internet of Things (IoT) engineering. This research proposes the design of an IoT-based prototype known as a smart incubator. This prototype has been equipped with a real-time monitoring system and system settings using the mamdani fuzzy inference system control method and combined using the Genetic Algorithm (GA) method. The results showed that the ideal temperature range in the smart incubator was 33° C with an accuracy of 99.97% and was in accordance with the fuzzy membership degree in the range of 29° C ≤x≤ 37° C. Furthermore, the ideal relative humidity range in the smart incubator was 60% with an accuracy of 98.60% and was in accordance with the fuzzy membership degree in the range of 59 ≤x≤ 65. Then, the noise range in the smart incubator is 37.9dB to 56.8dB with an accuracy of 96.44% and has been appropriate at the fuzzy membership degree. At a maximum distance of 50cm, it takes 8 seconds for the prototype to detect movement as a safety measure.
PROTOTYPE OF HOME SECURITY MONITORING SYSTEM BASED ON INTERNET OF THINGS Wijaksana, Wibi Wijaksana; Budiyanto , Setiyo; Fajar Banardi, Deswandi; Medriavin Silalahi, Lukman
Metrik Serial Humaniora dan Sains Vol. 5 No. 1 (2024): April 2024
Publisher : Konsorsium Cendekiawan Indonesia

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

Abstract

Nowadays, the criminality rate that is troubling demands home security to become a smart home, which is a problem in this research. The purpose of this research is to design a home door security system using a magnetic switch door MC-38 to detect the condition of the door in an open or closed condition and the front and side areas of the house using a PIR HC-SR501 sensor to detect the movement of an object. Sensor data is processed by WeMos D1 Mini connected to WiFi and the data is forwarded to the MQTT Explorer server where the information can be accessed by users through an application installed on a smartphone. The results showed that the HC-SR501 PIR sensor successfully detected human movement with a distance of 5m and an average notification sending time of 2.99 seconds, then the MC-38 sensor on the front and side doors of the house had an average notification time of 1.98 seconds.
Analisis Kelayakan Project Loon di Indonesia BUDIYANTO, SETIYO; JAMIL, MUHAMMAD; RAHAYU, FAJAR
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 7, No 2: Published May 2019
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v7i2.392

Abstract

ABSTRAKIndonesia merupakan Negara kepulauan yang terdiri dari ribuan pulau. Kondisi geografis tersebut membuat layanan internet di Indonesia belum sepenuhnya merata. Tercatat, pengguna internet area perkotaan, antara desa dan kota, serta pedesaan berturut sebesar 72,41%, 49,5%, dan 48,3%. Berikut komposisi dari pengguna internet di Indonesia: pulau Jawa, Sumatera, Kalimantan, Sulawesi, Bali-Nusa Tenggara, dan Maluku-Papua masing-masing sebesar 58,1%, 19%, 8%, 6,7%, 5,6%, dan 2,5%. Guna mengatasi masalah ini, beberapa upaya telah dilakukan untuk menyamakan akses internet di Indonesia, dan salah satu upaya yang ditawarkan adalah Project Loon. Project Loon merupakan teknologi komunikasi berdasarkan High Altitude Platform (HAPs). Penelitian terkait pengujian kelayakan Project Loon dilakukan menggunakan studi literatur Kemudian digunakan metode Alogritma Fuzzy Topsis untuk mengukur Ekuensi Pathloss, Bandwith Fuzzy, Utilitas Frekuensi, sehingga diperoleh matrik keputusan dan matrik pembobotan yang menunjukkan frekuensi terbaik yang dapat digunakan adalah frekuensi 700 MHz dengan nilai 0.58307. frekuensi ini dipilih secara otomatis berdasarkan kriteria jarak, bandwidth, dan aplikasi-aplikasi yang berjalan pada frekuensi tersebut.Kata Kunci: Project Loon, HAPs, Algoritma Fuzzy Topsis ABSTRACTIndonesia is an archipelago consisting of many islands. This geographical condition makes internet services in Indonesia not yet evenly distributed. Noted, internet users in urban areas, between villages and cities, as well as rural areas amounted to 72.41%, 49.5%, and 48.3%. The following is the composition of internet users in Indonesia: Java, Sumatra, Kalimantan, Sulawesi, Bali-Nusa Tenggara, and Maluku-Papua, respectively 58.1%, 19%, 8%, 6.7%, 5.6% and 2.5%. To overcome this problem, several attempts have been made to equalize internet access in Indonesia, and one of the efforts offered is Project Loon. Project Loon is a communication technology based on High Altitude Platform (HAPs). Research related to Project Loon eligibility testing was conducted using literature studies. Then we use the Alogritma Fuzzy Topsis method to measure Pathloss Equity, Fuzzy Bandwidth, Frequency Utility, the required matrix and the weighting matrix used are 700 MHz frequencies with a value of 0.58307. Based on frequency, bandwidth, and applications running on that frequency.Keywords: Project Loon, HAPs, Algoritma Fuzzy Topsis
PERAN KESEHATAN DAN KESELAMATAN KERJA PEKERJA RUMAH TANGGA: FOKUS PADA KELISTRIKAN RUMAH TANGGA BERBASIS INTERNET OF THINGS DI PENANG MALAYSIA Budiyanto, Setiyo; Silalahi, Lukman Medriavin; Simanjuntak, Imelda Uli Vistalina; Hamid, Abdul; Rahmad, Khozaeni Bin
MINDA BAHARU Vol 8, No 2 (2024): Minda Baharu
Publisher : Universitas Riau Kepulauan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33373/jmb.v8i2.6300

Abstract

Dalam pelatihan ini, peserta diberikan pemahaman mengenai K3 (Kesehatan Dan Keselamatan Kerja) yang berfokus pada keamanan listrik rumah berbasis IoT (Internet of Things). Program PkM (Pengabdian kepada Masyarakat) ini didampingi oleh instruktur profesional yang aktif melakukan penelitian tentang IoT yang terdiri dari berbagai model hingga komponen pendukung IoT dengan mendekati hasil penelitian yang telah dipublikasikan dalam ilmu teknik elektro. Hasil observasi menunjukkan bahwa peserta PkM merupakan pekerja rumah tangga yang kurang pengetahuan tentang teknologi internet yang saat ini sedang berkembang dan telah diimplementasikan menjadi smart home khususnya pada rumah tipe modern. Dengan demikian, kontribusi dari kegiatan ini adalah memberikan edukasi untuk meningkatkan kualitas dan pengetahuan pekerja rumah tangga yang terampil dan memahami teknologi IoT. Tujuan dari PkM ini adalah untuk memberikan edukasi IoT untuk kelistrikan. Universitas Mercu Buana melalui Lembaga Penelitian dan Pengabdian kepada Masyarakat turut serta membantu pemerintah dengan memasukkan tema riset unggulan di bidang TIK (Teknologi Informasi dan Komunikasi) dalam RIP (Rencana Induk Penelitian) dengan target jangka panjang sosialisasi dan implementasi penggunaan kontrol dan IoT.
Predictive Analysis of The National Defense Index (IBN) on National Resilience Using Classification and Regression Trees (CART) Method Qotrunnada, Farah Mufida; Budiyanto, Setiyo; Wadjdi, Achmad Farid
Formosa Journal of Science and Technology Vol. 4 No. 1 (2025): January 2025
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/fjst.v4i1.13271

Abstract

IBN (National Defense Index) is an important indicator in measuring public awareness and participation in maintaining the sovereignty and stability of the country. With the increasing complexity of challenges to national resilience, a predictive approach is needed to understand the relationship between IBN and other variables that influence national resilience. The CART method is used to identify patterns and determine significant variables that play a role in strengthening national resilience. Through this model, the study aims to provide deeper insight for the formulation of more effective policies in building strong national resilience. The results of the study were obtained by identifying factors that influence the National Defense Index (IBN). The results of this study are expected to be a consideration for the basis for strategic policies in achieving the great goal of Indonesia Emas 2045 as a strong, sovereign, and sustainable country.
Machine Learning Approach to Analyze the Relationship Between State Defense Index and Human Development to Strengthen National Defense Qotrunada, Farah; Budiyanto, Setiyo; Wajdi , Achmad Farid
Internet of Things and Artificial Intelligence Journal Vol. 5 No. 1 (2025): Volume 5 Issue 1, 2025 [February]
Publisher : Association for Scientific Computing, Electronics, and Engineering (ASCEE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31763/iota.v5i1.869

Abstract

In efforts to strengthen national defense, it is important to understand how factors in human development, such as education, health, and economic welfare, can influence public awareness of national defense. This study aims to analyze the relationship between the National Defense Index (IBN) and the Human Development Index (IPM) in Indonesia using a Machine learning approach. To strengthen national defense, it is essential to understand how factors in human development, such as education, health, and economic welfare, can affect public awareness of national defense. Machine learning methods are applied to analyze the significant relationship between IBN and IPM, which is expected to provide insights for the development of more data-driven national defense policies. The results show that the Machine learning model can predict IBN values with high accuracy, supported by a Mean Squared Error (MSE) of 0.000638 and an R-squared value of 0.9026. This indicates that 90.26% of the variability in IBN values can be explained by the model, suggesting accurate predictions that are relevant for data-driven policies. Collaboration with various stakeholders is expected to enhance the application of these findings in further studies and the formulation of national defense policies. 
Co-Authors Abdul Hamid Abdurohman Abdurohman Adi Kurnia Afiyati, Afiyati Agus Dendi Rochendi Agus Dendi Rochendi Agus Dendi Rochendi Agus Dendi Rochendi Ahmad Firdausi Alvin Sepbrian Andi Adriansyah Apipi Saputra Aprilia Dian Oftari Arga Gilang Rolanda Arif Rahman Hakim Arissetyanto Nugroho Badaruddin Badaruddin Bambang Jokonowo Beny Nugraha Budiana, Kelik Dadang Gunawan David Martin Antoyo Dian Widi Astuti, Budi Irawan Prima Putra, Dian Widi Astuti, Dimas Jatikusumo Erman Al Hakim Erry Yulian Triblas Adesta Fahraini Bacharuddin Fajar Banardi, Deswandi Fajar R Febryyanti Nawang Wulan Fina Supegina Freddy A Silaban Freddy Artadima Silaban Galang Persada Nurani Hakim Galih Bangun Santosa Gao Hongmin Gunawan Osman Hadi Santoso Hadi Wuryanto Hanifah Diana Harry Candra Sihombing Imbuh Rochmad Imbuh Rochmad Imelda Uli Vistalina Simanjuntak Julpri Andika Kristiani N Nahampun Lukman M Silalahi Lukman Medriavin Silalahi Lusianna EP Siagian M. Hafiz Ibnu Hajar Mochamad Furqon Ismail Mudrik Alaydrus Muhammad Budi Haryono Muhammad Hafizd Ibnu Hajar Muhammad Ikhsan Muhammad Jamil Muhammad JAMIL Putri Wulandari Qotrunada, Farah Qotrunnada, Farah Mufida Rachmat Muwardi Raden Sutiadi RAHAYU, FAJAR Rahmad, Khozaeni Bin Resi Sujiwo Bijokangko Rini Kusumawardani, Rini Rio Mubarak Rochendi, Agus Dendi Said Attamimi Saragih, Carolan Ignatius Selamet Kurniawan Septi Andryana Silviana Windasari Triyanto Pangaribowo Ucuk Darusalam Wadjdi, Achmad Farid Wahyu Kusuma Raharja Wajdi , Achmad Farid Wijaksana, Wibi Wijaksana Yoga Putra Setiawan Yudhi Gunardi Yudistiro Yudistiro Yudistiro Yudistiro, Yudistiro Yuliarman Saragih