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All Journal Jurnal Online Mahasiswa (JOM) Bidang Ilmu Sosial dan Ilmu Politik MUSTEK ANIM HA Jurnal Sibermas (Sinergi Pemberdayaan Masyarakat) Electron: Jurnal Ilmiah Teknik Elektro Economos : Jurnal Ekonomi dan Bisnis Journal Of Renewable Energy Engineering Emitor: Jurnal Teknik Elektro Jurnal Teknologi dan Inovasi Industri SNTE
Ikhsan Hidayat
Universitas Ahmad Dahlan
Automotive Engineering Biochemistry, Genetics & Molecular Biology 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 Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences

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Pemanfaatan GIS untuk Perencanaan dan Optimasi PLTS Rooftop di Gedung Teknik UNG Hidayat, Ikhsan; Salim, Sardi; Irawaty Tolago, Ade; Bonok, Zainuddin
Seminar Nasional Teknik Elektro Vol. 4 No. 1 (2025): SNTE III
Publisher : Forum Pendidikan Tinggi Teknik Elektro Indonesia Pusat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46962/snte.25.093

Abstract

Penelitian ini membahas pemanfaatan Geographic Information System (GIS) untuk perencanaan dan optimasi Pembangkit Listrik Tenaga Surya (PLTS) rooftop di Gedung Fakultas Teknik Universitas Negeri Gorontalo (UNG) Kampus 4. Dengan pendekatan integratif berbasis GIS dan simulasi teknis mendalam melalui perangkat lunak HelioScope, penelitian ini berhasil mendesain sistem dengan kapasitas terpasang sebesar 368,79 kWp yang menggunakan 647 modul surya tipe Canadian Solar 570W. Berdasarkan simulasi, sistem ini diproyeksikan mampu menghasilkan energi listrik sebesar 486,5 MWh per tahun. Analisis teknis mengidentifikasi konfigurasi sistem optimal menggunakan 99 unit inverter Huawei 3kW serta faktor-faktor kehilangan energi. Hasil simulasi menunjukkan kinerja yang sangat baik dengan nilai solar access rata-rata mencapai 99,2% yang mengindikasikan hampir tidak adanya dampak bayangan pada seluruh array. Penerapan GIS dalam pemetaan spasial lokasi memberikan kontribusi signifikan dalam menentukan potensi atap, tata letak panel yang terbagi dalam 7 segmen field (C2, C3, C4, C5, C6, Civil Lab, Industry Lab), dan efisiensi sistem secara keseluruhan. Selain itu, kajian ekonomi yang didasarkan pada data kapasitas dan produksi energi aktual ini menunjukkan prospek implementasi yang layak dan berkelanjutan. Hasil penelitian ini diharapkan dapat menjadi model percontohan yang akurat dan siap implementasi bagi pengembangan PLTS rooftop di UNG serta institusi pendidikan lainnya di kawasan Indonesia Timur, mendukung pencapaian target kampus hijau dan net zero emission.
PENGARUH KUALITAS PELAYANAN, CITRA TOKO, DAN SUASANA TOKO TERHADAP MINAT BELI KONSUMEN (SURVEY KONSUMEN PADA SB HOUSEWARE, BUKITTINGGI) Hidayat, Ikhsan; Karneli, Okta
Jurnal Online Mahasiswa (JOM) Bidang Ilmu Sosial dan Ilmu Politik Vol. 5: Edisi I Januari - Juni 2018
Publisher : Fakultas Ilmu Sosial dan Ilmu Politik Universitas Riau

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

Abstract

This study aims to determine how much influence the quality of service, store image, and the atmosphere of the store to consumer buying interest in the company SB Houseware Bukittinggi branch. Samples in this study were taken as many as 100 respondents and techniques used Sampling probability. the data in this study using survey methods through questionnaires filled by consumers. Data obtained from the results of the questionnaire and then processed to then tested by statistics memlalui SPSS program. The results of analysis using simple linear regression analysis, multiple linear regression analysis, determination test (R2), individual significance test (t test), and simultaneous significant test (Test F) so that it can be seen that service quality variables influence consumer buying interest variable, store image have an effect on consumer buying interest variable, shop atmosphere variable have an effect on consumer buying interest variable, and service quality variable, store image, store atmosphere influence simultaneously to consumer buying interest variable. The calculation results are known R Square is the coefficient of determination and obtained R Square value of 0.541. That is, the quality of service, store image, and the atmosphere of the store affects consumer buying interest by 54.1%.Keywords: Service Quality, Store Image, Store Atmosphere, and Buying Interest Konsumen
Solar Power Plant (PLTS) Power Monitoring System Based on the Internet of Things (IoT) Using the Blynk and Telegram Platforms Madjowa, Tyo Sulistio; Ilham, Jumiati; Hidayat, Ikhsan; Abdussamad, Salmawaty Tansa , Syahrir; Z. Nasibu, Iskandar
Emitor: Jurnal Teknik Elektro Vol 26, No 1: March 2026
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/emitor.v26i1.14225

Abstract

Solar energy is one of the renewable energy sources that has the potential to be developed in Indonesia. However, monitoring the performance of Solar Power Plants (PLTS) is generally still carried out conventionally so that the data obtained is not real-time and makes it difficult to detect disturbances. The Internet of Things (IoT) based PLTS electric power monitoring system is designed to monitor electrical parameters in real-time, including voltage, current, power, temperature, and humidity. The system design uses PZEM-004T, PZEM-017, and DHT11 sensors integrated with an ESP32 microcontroller as the main controller. The measurement data is displayed on an OLED screen and sent to the Blynk and Telegram applications as remote monitoring media with an automatic notification feature. The test results show that the system works well and has a high level of accuracy. During daytime testing, the highest DC and AC voltage values were recorded at 18.22 V and 233.8 V, respectively, while at night they reached 12.36 V and 228.1 V. The maximum DC current and power values were 0.44 A and 7.9 W, respectively. Comparison with manual measuring instruments showed very small measurement differences, namely 0.01–0.05 V for DC voltage and 0.1% for humidity, with an average error of only 0.07%. These findings prove that the developed IoT-based monitoring system is stable, accurate, and efficient in monitoring the condition of the solar power plant in real-time, and has the potential to be further developed on a larger scale through the integration of cloud storage and intelligent energy management.
Co-Authors Abbas, zulkarnain Abdullah, Rafli S Abido, Mohammad Ali Ade Irawaty Tolago Ahmad, Agil Alam, Saiful Astika putra, I Nengah dwi Bambang Panji Asmara Bonok, Zainuddin Dako, Amiruddin Dako, Rahmat Harsyah, Ryan Putra Hesti Hidayat, Dimas Setiawan Iskandar Zulkarnain Nasibu Jumiati Ilham Kasenda, Haikal Lihawa, Norman Madjowa, Tyo Sulistio Nandi Haerudin Okta Karneli, Okta Qalbu, Wan Fahayykal Azimah Rahmi Mulyasari Salmawaty Tansa Sardi Salim septiyusi, Natia nursuci Sri Wahyuni Dali Syafri Harto Taufiq Ismail Yusuf Tobuhu, Gilang Tolago, Ade Irawati Wahab Musa