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All Journal Bulletin of Electrical Engineering and Informatics WARTA INVOTEC Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Elementer (Elektro dan Mesin Terapan) Jurnal Inovasi Bisnis (Inovbiz) JMM (Jurnal Masyarakat Mandiri) Jurnal Riset Teknologi dan Inovasi Pendidikan (Jartika) J-Dinamika: Jurnal Pengabdian Kepada Masyarakat JTIM : Jurnal Teknologi Informasi dan Multimedia Jurnal Listrik, Instrumentasi, dan Elektronika Terapan JURNAL ILMIAH GLOBAL EDUCATION eProceedings of Engineering Jurnal Nusantara Mengabdi Warta LPM Jurnal INFOTEL Serambi Engineering

Bandiyah Sri Aprillia

Universitas Telkom

Author-ID : 3737816

Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Public Health Social Sciences Other

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Support Vector Regression Method for Predicting Off-Grid Photovoltaic Output Power in the Short Term Kharisma Bani Adam; Desri Kristina Silalahi; Bandiyah Sri Aprillia; Husayn Aththar Adhari
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 6 No 4 (2022): Agustus 2022
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Photovoltaic (PV) technology is a renewable technology utilizing conversion of solar power or solar radiation into electrical energy. In the manufacture of Solar Power Generation systems, reference is needed regarding the cost of generation and scheduling of maintenance plans. To obtain this reference, it is necessary to predict the photovoltaic power output which is used to determine the power output of PV in the future. In this study, a system that is used to predict short-term power output in PV is designed. This system uses solar irradiation data and 42 days of power output in off-grid PV mini-grid as the dataset. The dataset obtained from the PV output is processed using the Support Vector Regression method with the Kernel Radial Basis Function (RBF) function. Based on the dataset used, this study succeeded in testing the best kernel, namely the RBF kernel. Evaluation of the prediction model obtained a smaller error value than other kernel tests with a Mean Absolute Percentage Error (MAPE) value of 21.082%, Mean Square Error (MSE) value of 0.122, and Mean Absolute Error (MAE) value of 0.262. The prediction model obtained is used to predict the short-term PV power output for the next 3 days. The results of the prediction model have an error value of 5.785 % for MAPE, 0.005 for MAE and 0.069 for MSE. Therefore, the predictive model can be categorized as very good and feasible to predict short-term power output

Pelatihan Kewirausahaan Secara Daring untuk Meningkatkan Motivasi Berwirausaha Siswa-Siswi MA Ishlahul Amanah Desri Kristina Silalahi; Bandiyah Sri Aprillia; Kharisma Bani Adam
Jurnal Nusantara Mengabdi Vol. 2 No. 3 (2023): Juni
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jnm.v2i3.1998

Purpose: The students of MA Islahul Amanah are the next generation of the nation who must take their steps to reach the future. Most of them have constraints in terms of costs to continue on to higher education. Thus, a motivation or direction is needed for MA Ishlahul Amanah students about entrepreneurship. Entrepreneurship is the right alternative choice to overcome unemployment. This is to encourage them to be more independent after completing their school education. At least they are not a burden to their parents, but can help their family's economy Methodology/approach: The methods used are: (1) condition survey; (2) team conciliation to discuss the activities carried out; (3) preparation to determine the implementation time and equipment to be prepared; (4) implementing activities by conducting online entrepreneurship training; (5) evaluation of activities to measure the achievement of activities with a questionnaire. Results/findings: Participants receive tips on building start-ups, namely innovating business ideas, creating business models, raising capital, inviting like-minded people to maintain service/product quality and "don't give up". Apart from that, they also gain knowledge and experience related to what the speaker has experienced because the material provided is also based on their own experience. This activity was also well achieved based on the results of the questionnaire which achieved an average percentage of agreeing is 77.33% and the percentage strongly agreeing is 20%. Conclusion: Community Service Activities with activities in the form of entrepreneurship training to increase interest in entrepreneurship for MA Ishlahul Amanah students run smoothly and goals are achieved. This can be seen from the results of the questionnaire, the participants chose to agree and strongly agree with the program being carried out because it met the needs of the participants.

Online Learning Content Creation for Junior High School Teachers during the Covid-19 Pandemic Brahmantya Aji Pramudita; Bandiyah Sri Aprillia; Porman Pangaribuan; Mohamad Ramdhani; Kharisma Bani Adam
Warta LPM WARTA LPM, Vol. 25, No. 1, Januari 2022
Publisher : Universitas Muhammadiyah Surakarta

The community service program from Telkom University aims to improve the ability and insight of learning technology using Camtasia Studio at SMPN 1 Baleendah. The method used in community service is a form of training or workshops where the participants, in this case are teachers, are given training for a maximum of 3 hours, instructors in this case are from Telkom University. The stages carried out in this training are broadly as follows: The stages of making or recording material content, the editing or editing stages of material content and the stages of uploading learning material content. Participation by partners is in the form of providing space, infrastructure such as laptops or computers (computer laboratory recommendations), internet networks, and teachers’ resources to be given Camtasia Studio training. Based on the results of the initial survey it was found that 15% had experience in making interactive videos by using programs other than Camtasia studio, and as many as 85% of the teachers are inexperienced in making interactive videos because they only use learning media based on whatsapps, zoom and google classroom. After the training, there was an increase in the skill level of making interactive videos for all participants. As many as 75% of the teachers strongly agree regarding the suitability of the programs held with the aim of carrying out activities. Lecturers and students are stated to be more friendly, faster and responsive in helping during the practical activities of creating interactive video content using Camtasia studio.

Desiminasi Sistem Pembangkit Tenaga Surya untuk Guru dan Siswa di Kabupaten Bandung Bandiyah Sri Aprillia; Mohamad Ramdhani; Irwan Purnama
Warta LPM WARTA LPM, Vol. 26, No. 2, April 2023
Publisher : Universitas Muhammadiyah Surakarta

Utilization of solar energy requires an active role from the community by providing information related to solar energy and the potential that can be obtainedIt is necessary to provide guidance to the community by providing basic knowledge about the conversion of solar energy into electricity. Followed by doing practice in proving the basic knowledge given in the form of simple practice. So that the public can understand information related to solar energy as a whole, both basic knowledge, conversion techniques, and installation techniques. The purpose of this community service is to provide training on solar power plant installations as a learning medium in the use of renewable energy in the form of solar energy. The training targets are MA teachers and students as the next generation who in the future will face greater challenges related to energy utilization. MA students are currently required to be more creative and innovative in utilizing all the potential of nature, especially the use of alternative technologies, one of which is solar energy. The Pangalengan area is also a challenge in itself in the use of electricity technology for the need for support by using solar energy for electricity use. In the community service program, an On-Grid 260 Wp solar power plant system has been installed which aims as a learning medium and helps reduce monthly school costs by integrating solar panels for the electrification of the Natural Sciences Laboratory (IPA).

INTEGRASI PEMBANGKIT LISTRIK TENAGA SURYA ON GRID UNTUK MEMBANTU SISTEM KELISTRIKAN DI MASJID JAMI’ P3SB Jangkung Raharjo; Bandiyah Sri Aprillia; Novi Prihatiningrum; Irwan Purnama; Yusuf Nur Wijayanto; Ilma Mufidah; Augustina Asih Rumanti
JMM (Jurnal Masyarakat Mandiri) Vol 7, No 5 (2023): Oktober
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v7i5.16867

Abstrak: Berdasarkan hasil wawancara dengan pengurus Pondok Pesantren Pembangunan Sumur Bandung (P3SB) salah satu masalah yang dihadapi yaitu tagihan listrik bulanan yang cukup besar untuk memenuhi fasilitas kelistrikan di wilayah pondok pesantren. Selain itu berdasarkan hasil analisis dari tim Universitas Telkom, secara lokasi P3SB cocok untuk integrasi Pembangkit Listrik Tenaga Surya (PLTS). Selain untuk mengurangi tagihan listrik bulanan adanya sistem PLTS yang dibangung juga diharapkan menjadi media belajar santri pada bidang sistem energi terbarukan. Pelaksanaan kegiatan ini dilakukan dalam 3 tahap yaitu survey lokasi, pemasangan pembangkit tenga surya atap dan evalusi kegiatan. Selama pelatihan dan pemaparan Keamanan, Kesehatan dan Keselamatan Kerja (K3) para siswa dan guru berjumlah 15 orang dapat menjawab pertanyaan dengan rerata akurasi jawaban 90%. Adanya pelatihan K3 ini diharapkan mitra dapat melakukan perawatan pembangkit surya secara mandiri. Berdasrkan hasil umpan balik, 72% dari masyarakat sasar sangat setuju dan 28% Setuju menerima kegiatan pengabdian masyarakat yang dilakukan dan berharap kegiatan serupa dapat dilanjutkan di masa yang akan datang.Abstract: Based on the results of interviews with the management of the Islamic Boarding School (P3SB), one of the problems faced is the monthly electricity bill which is large enough to fulfill electricity facilities in the Islamic boarding school area. In addition, based on the analysis results from the Telkom University team, the location of P3SB is suitable for the integration of Solar Power Plants (PLTS). In addition to reducing monthly electricity bills, the PLTS system being built is also expected to become a learning medium for students in the field of renewable energy systems. The implementation of this activity was carried out in 3 stages, namely site survey, installation of a rooftop solar generator and activity evaluation. During training and presentation on Occupational Safety, Health, and Safety (K3) students and teachers consist of 15 peoples can answer questions with an average answer accuracy of 90%. K3 training is expected that partners to carry out solar generator maintenance independently. Based on the results of the feedback, 72% of the target community strongly agreed and 28% agreed to accept the community service activities being carried out and hoped that similar activities could be continued in the future.

Temperature control system on greenhouse effect gaplek dryer Bandiyah Sri Aprillia; Brahmantya Aji Pramudita; Prisma Megantoro
JURNAL INFOTEL Vol 14 No 1 (2022): February 2022
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v14i1.736

Gaplek is a processed product of cassava that requires a drying process to remove the water content in cassava. Solar thermal energy can be used for the drying process of gaplek by using a greenhouse effect drying system. However, the greenhouse effect drying system using solar thermal energy is very dependent on weather conditions and temperature that is difficult to control. Therefore, a temperature control system is proposed in this study by utilizing Pulse Width Modulation (PWM) to control the exhaust fan speed. Thus, the temperature can be maintained according to the drying standard of processed cassava products. In this study, a temperature control system has been successfully created that is able to maintain the temperature in the drying room according to the drying standard, namely at a temperature of 50℃ to 60℃ when tested in three different locations, namely, Sukamaju Village, Kaligunting Village, and Sumberejo Village which have shown optimal drying temperature.

Optimal planning on-grid power system for 2200VA household sector by considering economic criteria Bandiyah Sri Aprillia; Kevin Octavianov Abdurohman
JURNAL INFOTEL Vol 14 No 4 (2022): November 2022
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v14i4.799

This study discusses efforts to model solar grid systems by considering economic and regulatory factors in system design. The Hybrid Optimization of Multiple Electric Renewables software is used to evaluate the economic viability of the on-grid PV technology that provides 2200VA of power in the household sector. Optimal costs are assessed from Net Present Cost (NPC) which is a cost analysis to determine investment feasibility based on interest rates and fees in the coming years and Break Even Point (BEP) which is the point where expenditure and income are balanced. The simulation results show that in the project period of 25 years the installation of on grid PV power system has an NPC that is 20% lower than the PLN network power supply with a BEP value lower than 15 years. The lowest NPC and BEP values were obtained from the installation of 7 PV panels with 300Wp capacity connected to the PLN network. This system is able to save electricity costs by IDR 23,060,260 compared to the use of 100% electricity from the State Electricity Enterprise grid. This system is worthy of being an economic tool for providing electricity services throughout the year and meeting rising energy demands in the household sector.

Forecasting Photovoltaic Output Power Based on Environmental Parameters Using Artificial Neural Network Methods Desri Kristina Silalahi; Agnes Christy Margareth Rumapea; Wahmisari Priharti; Bandiyah Sri Aprillia
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 7 No 6 (2023): December 2023
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v7i6.5214

Photovoltaics are systems that can convert sunlight into electrical energy. However, photovoltaic efficiency tends to be low, and its performance is affected by several environmental parameters such as dust, wind speed, humidity, temperature, and other external factors. Because there are many factors that can affect the power generated, we need a power output prediction system that can help in planning and managing as well as increasing the efficiency of photovoltaic systems. In this research, a system is designed that can predict the photovoltaic output power in the short term using the artificial neural network method or what is often called an artificial neural network. Predictions are made based on the effects of several environmental parameters such as wind speed, dust, humidity, and temperature on a 10 Wp photovoltaic system. Performance data for 7 days is used as a dataset and then processed using ANN with 1 input layer, 3 hidden layers, and 1 output layer, and 3 sample epochs (10, 100, and 1000). The results of the study can predict the output of photovoltaic power for the next 4 days with an error value of Mean Square Error (MSE) of 0.0010, Mean Absolute Error (MAE) of 0.0155, Root Mean Square Error (RMSE) of 0.0229 with an increase in power reaching 0.5 to 1 watt.

Integrasi Circuit Simulator pada LMS untuk Meningkatkan Hasil PBL: Studi Kasus Mata Kuliah Elektronika Mohamad Ramdhani; Bandiyah Sri Aprillia; Sugondo Hadiyoso
Jurnal Ilmiah Global Education Vol. 5 No. 1 (2024): JURNAL ILMIAH GLOBAL EDUCATION, Volume 5 Nomor 1, Maret 2024
Publisher : LPPM Institut Pendidikan Nusantara Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55681/jige.v5i1.2448

Mata kuliah Elektronika sering dianggap sulit oleh banyak mahasiswa karena memerlukan pehamanan yang mendalam tentang teori dan konsep dasar elektronika. Metode pembelajaran inovatif seperti Problem-Based Learning (PBL) menjadi sangat penting untuk mempermudah pemahaman, meningkatkan hasil belajar dan memperkaya keterampilan praktis siswa. PBL adalah metode belajar yang menggunakan masalah nyata sebagai platform untuk mempromosikan pembelajaran. PBL dinilai dapat meningkatkan keterampilan kritis, solusi masalah, dan komunikasi. Metode ini memungkinkan pelajar bekerja secara kolaboratif dalam grup untuk mencari solusi masalah. Oleh karena itu pada studi ini diusulkan sebuah integrasi Circuit Simulator pada Learning Management System (LMS) untuk meningkatkan hasil PBL pada mata kuliah Elektronika. Dari hasil eksperimen menunjukkan bahwa metode yang diusulkan dapat menaikkan kelulusan sebesar 93,18% dibandingkan dengan kelas kontrol sebesar 85,64%. Metode ini diharapkan dapat diterapkan secara berkelanjutan sehingga dapat menurunkan tingkat ketidaklulusan mata kuliah Elektronika.

Perancangan Antarmuka Sistem Peringatan Dini Banjir Menggunakan Web Thing Speak sebagai Basis Data dan Notifikasi Pesan melalui Aplikasi WhatsApp Nabil Sarmada; Erlangga Alman Rahardjo; Lutfi Firmandany; Khilda Afifah; Bandiyah Sri Aprillia
Jurnal Serambi Engineering Vol. 9 No. 4 (2024): Oktober 2024
Publisher : Faculty of Engineering, Universitas Serambi Mekkah

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

Flooding is one of the natural disasters that frequently occur in Indonesia, especially in Bandung Regency, which is often affected by flooding due to river basins that cannot accommodate excess water. To address this problem, an Internet of Things (IoT)-based flood early warning system (FEWS) has been developed that can monitor river water levels and provide early notification to the public via the WhatsApp application. This study aims to design and test a user interface integrated with the FEWS system using ThingSpeak as the database and WhatsApp as the notification application. The methods used include data collection, requirements analysis, design, implementation, and system testing. The test results show that ThingSpeak is able to upload water level data in real time with an average delay of 11.5 seconds, and WhatsApp successfully sends water level category notifications to users in a timely manner. In conclusion, the developed system successfully provides accurate information and appropriate notifications to help the public take early evacuation steps during floods.

Co-Authors Achmad Rizal Achmad, Rivo Rivaldo Agnes Christy Margareth Rumapea Ahmad Sugiana Augustina Asih Rumanti Ayu Siti Aminah Bhaskara Perteka Yuda, Putu Krishna Brahmantya Aji Pramudita Desri Kristina Silalahi Erlangga Alman Rahardjo Husayn Aththar Adhari I Gede Putu Oka Indra Wijaya Ilma Mufidah Irwan Purnama Iwan Iwut Tritoasmoro Iwan Kustiawan Jangkung Raharjo Kevin Octavianov Abdurohman Kharisma Bani Adam Khilda Afifah Lutfi Firmandany Mohamad Ramdhani Muhammad Agung Foury Rigoursyah Muhammad Hablul Barri Muhammad Rafiqy Zulfahmi Nabil Sarmada Novi Prihatiningrum Pasaribu, Raze Van Willy Porman Pangaribuan Prisma Megantoro Putri, Inne Rineko Rafli, Salman Alfa Sugondo Hadiyoso Wahmisari Priharti Yossi Safitri Yusuf Nur Wijayanto

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