Article Per Year (5 Year)
p-Index From 2020 - 2025
0.768
P-Index
This Author published in this journals
All Journal TELKOMNIKA (Telecommunication Computing Electronics and Control) Kilat TERANG : Jurnal Pengabdian Pada Masyarakat Menerangi Negeri Jurnal E-Komtek Indonesian Journal of Electrical Engineering and Computer Science
Iriansyah BM Sangadji
Institut Teknologi PLN
Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Electrical & Electronics Engineering Energy Mechanical Engineering

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 5 Documents
Search

 1 
The design of a smart home controller based on ADALINE Puji Catur Siswipraptini; Rosida Nur Aziza; Iriansyah Sangadji; Indrianto Indrianto
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 4: August 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i4.14893

Abstract

This paper proposes a prototype of an improved smart home controller that implements a neural network-based algorithm for enabling the controller to make decisions and act based on the current condition. Unlike previous approaches, this design also utilizes the use of IoT (internet of thing) technology and neural network based-algorithm for developing the controller. Since a smart home is equipped with various sensors, actuators, smart appliances, and mobile terminals, all of these devices need to be connected to the Internet to be able to communicate and provide services for its occupants. The construction of the proposed controller is carried out through several procedures, i.e. the implementation of the ADALINE (adaptive linear) as the neural network method, the design of the smart home controller prototype, and the validation process using mean average percentage error (MAPE) calculation. This prototype integrates functionalities of several household appliances into one application controlled by a smartphone. ADALINE is applied as an algorithm to predict output when the controller is in automatic mode. Although the obtained accuracy value is still not satisfactory, the value is bound to change when testing on more data. The work published in this paper may encourage the implementation of smart technology in more households in Indonesia. 
Segmentasi Penilaian Kompetensi Alumni Stt-Pln Menggunakan Model Klaster Fuzzy Clustering Means (Fcm) Dine Tiara Kusuma; Iriansyah BM Sangadji
KILAT Vol 5 No 2 (2016): KILAT
Publisher : Sekolah Tinggi Teknik - PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (4273.003 KB) | DOI: 10.33322/kilat.v5i2.685

Abstract

Manpower needs of the company will be reliable and quality from year to year is always increasing. Where the requirements in the workforce is not only in the field of academic, non-academic ability also is of no less importance after the alumni entering the workforce. Therefore, STT-PLN is required to produce a qualified workforce and have high competitiveness in their field. In order to obtain maximum results is then, in need of harmony between education and field of work of the graduates as well as the necessary harmony between the academic ladder STT-PLN graduates with non-academic level is the main requirement in obtaining employment. To obtain this information then dibutukan further research on the level of competence of alumni with the working world markets. This research will use Fuzzy Clustering Means clustering method (FCM) to obtain information about the competencies needed in the world of work. The number of clusters formed is as much as three clusters in which, of the three clusters that have been produced will find the best cluster. The best member of the cluster will be a priority competencies that will be applied in the field of learning in STT-PLN. From the calculation of the index XB it can be concluded that the cluster 3 is the best cluster. Where members of the cluster 3 may be a priority concern for decision makers in determining policy on the application of learning methods to the lecturer / lecturer / educator in applying methods of learning to the learning process of students not only gain competency in the academic field but also in the field non-academic indirectly. Because based on survey results that competency is a point which is not less important in addition to competency in the academic field.
Sosialisasi dan Instalasi Panel Surya Sebagai Energi Terbarukan Menuju Kesadaran Lingkungan Indonesia Bebas Emisi RR Mekar Ageng Kinasti; Desi Putri; Endah Lestari; Muhammad Sofyan; Irma Wirantina Kustanrika; Ranti Hidayawanti; Iriansyah BM Sangadji
Terang Vol 2 No 1 (2019): TERANG : Jurnal Pengabdian Pada Masyarakat Menerangi Negeri
Publisher : Sekolah Tinggi Teknik - PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33322/terang.v2i1.488

Abstract

Perubahan iklim yang terjadi saat ini sebagai dampak ketidakeimbangan tingkat CO2 di atmosfer sebagai emisi dari penggunaan energi berbahan baku karbon serta prediksi kebutuhan akan energi dimasa depan, serta meningkatnya biaya pemenuhan kebutuhan listrik berbahan fosil terkait dua alasan yang melatarbelakangi Program Kemitraan Masyarakat ( PKM) ini dilakukan. PKM ini dilakukan dengan memberikan sosialisasi kepada masyarakat tentang pemanfaatan sel surya sebagai sumber energi alternatif yang sangat dekat dengan kehidupan kita setiap harinya, serta latar belakang perlunya kita mempergunakan energi alternatif tersebut di harapkan mampu membuka wawasan sekaligus memberikan motivasi kepada pihak Mitra untuk melakukan pengembangan pemanfaatannya sebagai bentuk kepedulian kita terhadap masa depan bumi yang akan datang. Dengan sampainya informasi pemutakhiran serta penerapannya kepada masyarakat, hal tersebut dapat memotivasi Mitra untuk mengembangkan pemanfaatan panel surya di SMPN 462 dengan lebih baik sehingga dapat menjadi sekolah yang mandiri dalam memenuhi kebutuhan energi listrik di sekolah tersebut. Optimalisasi tujuan PKM memerlukan keseriusan serta kepedulian dari berbagai lapisan elemen masyarakat seperti tim pelaksana, institusi tim pelaksana, serta pihak Mitra guna meningkatkan kesejahteraan kehidupan bermasyarakat serta turut menjaga kelestarian lingkungan hidup menuju Indonesia Bebas Emisi. Kata Kunci : panel surya, sel surya, energi alternatif, energi terbarukan, penyelamatan lingkungan hidup
IoT for smart home system Puji Catur Siswipraptini; Rosida Nur Aziza; Iriansyah Sangadji; Indrianto Indrianto; Riki Ruli A. Siregar; Grace Sondakh
Indonesian Journal of Electrical Engineering and Computer Science Vol 23, No 2: August 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v23.i2.pp733-739

Abstract

This paper examines the integration of smart home and solar panel system that is controlled and monitored using IoT (internet ofthings). To enable the smart home system to monitor the activity within the house and act according to the current conditions, it is equipped with several sensors, actuators and smart appliances. All of these devices have to be connected to a communication network, so they can communicate and provide services forthe smart home’s in habitants. The smart home system was first introduced to provide comfort and convenience, but later it should also address many other things, e.g. the importance of the efficient use of energy or electricity and hybrid use of energy sources. A solar panel is added to the smart home prototype and its addition is studied. Adaptive linear neural network is implemented in the prototype as an algorithm for predicting decisions based on the current conditions. The construction of the proposed integrated systemis carried out through several procedures, i.e. the implementation of the adaptive linear neural network (ADALINE) as the neural network method, the design of the prototype and the testing process. This prototype integrates functionalities of several household appliances into one application controlled by an Android-based framework.
Implementation of YOLO V8 Algorithm in Organic and Anorganic Waste Detection Application for Waste to Energy Management Arvio, Yozika; Kusuma, Dine Tiara; Sangadji, Iriansyah BM
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 9 No 1 (2025)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v9i1.2310

Abstract

Waste management in Indonesia is a major challenge, especially in the development of waste to energy (WTE). Accurate classification of organic and inorganic waste is required to optimise energy conversion. This research develops an automated waste detection system in temporary landfill sites (TPS) using the YOLOv8 algorithm, known for its high speed and accuracy. The research involved data collection, development of a YOLOv8-based computational model, and system construction and testing according to field requirements. The results show that YOLOv8 has high performance in detecting organic and inorganic waste, with 99.35% accuracy, 98.6% precision, 98.6% recall and 98.5% F1 score. This system can speed up the waste sorting process and has the potential to be used in domestic and public environments for the automatic detection of waste categories.
Co-Authors Arvio, Yozika Aziza, Rosida Nur Desi Putri Endah Lestari Grace Sondakh Indrianto Indrianto kustanrika, irma wirantina Muhammad Sofyan Ranti Hidayawanti Riki Ruli A. Siregar, Riki Ruli A. Rosida Nur Aziza RR Mekar Ageng Kinasti Siswipraptini, Puji Catur