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Dwiyanto .
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Prediction of Domestic Passengers at Kualanamu International Airport Using Long Short Term Memory Network Sunardi, Sunardi; Dwiyanto, Dwiyanto; Sinambela, Marzuki; Jamaluddin, Jamaluddin; Manalu, Darwis Robinson
MEANS (Media Informasi Analisa dan Sistem) Volume 4 Nomor 2
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (366.293 KB) | DOI: 10.54367/means.v4i2.566

Abstract

Domestic passenger forecasting provides key input into decisions of daily operation management and infrastructure planning of airports and air navigation services and for aircraft ordering and design. Planning for the future is one of the most important keys to success, forecasting is the way. The goal of this study to predict the number of domestic passengers at Kualanamu International Airport. The time-series data were employed from Badan Pusat Statistik (BPS). The result is then discussed in the context of the potential use of the proposed for a new perspective for the predicting of domestic passengers at Kualanamu International Airport, Indonesia. The machine learning approach using long short term memory (LSTM) presents a useful way of observing the domestic passenger predict the passenger time series.
PENYULUHAN ENERGI SOLAR SEBAGAI SUMBER ENERGI ALTERNATIF RAMAH LINGKUNGAN MENGGUNAKAN PROTOTIPE SMART PHOTOVOLTAIC SOLAR CHARGING SYSTEM DALAM BENTUK SOLAR TRACKER MENGGUNAKAN KONTROL LOGIKA FUZZY DI SMA NEGERI 1 SOOKO, MOJOKERTO Sakti, Gunawan; Hariyadi, Slamet; Hartono, Hartono; I.S, Rifdian; Dwiyanto, Dwiyanto; Julaihah, Siti; Sukomardojo, Tekat; Thiro K.Y., Yudhis
Journal of Public Transportation Community Vol. 5 No. 1 (2025): Journal Public Transportation Community April 2025
Publisher : Politeknik Penerbangan Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46491/jptc.v4i1.1890

Abstract

Energi terbarukan adalah pilihan energi yang lebih sehat untuk bumi karena berasal dari alam dan tidak terbatas, energi ini bisa mengurangi polusi dan ketergantungan kita pada bahan bakar fosil yang semakin menipis. Para dosen Program Studi D3 Teknik Listrik Bandara Politeknik Penerbangan Surabaya mengadakan kegiatan pengabdian kepada masyarakat yang merupakan bagian dari tri dharma perguruan tinggi dengan melakukan penyuluhan energi solar sebagai sumber energi alternatif ramah lingkungan menggunakan prototipe smart photovoltaic solar charging system dalam bentuk solar tracker menggunakan kontrol logika fuzzy. Kegiatan ini dilaksanakan di SMA Negeri I Sooko Mojokerto pada tanggal 11 September 2024 dengan peserta dari siswa-siswi sebanyak 95 orang dan didapatkan kesimpulan bahwa kegiatan penyuluhan terlaksana dengan baik dengan memperoleh hasil Quiz Pre-Test Kahoot sebelum dilakukan penyuluhan didapatkan nilai rata-rata pemahaman sebanyak 68% kemudian setelah dilakukannya penyuluhan Quiz Post-Test Kahoot didapatkan nilai rata-rata pemahaman sebesar 93%. Setelah dievaluasi dari Quiz Pre-Test dan Post-Test Kahoot kegiatan sebelum dan sesudah dilakukannya penyuluhan pemahaman para siswa meningkat sebesar 25%. Dengan hasil ini diharapkan bisa menjadi bekal buat para siswa SMA Negeri 1 Sooko, Mojokerto mengenai pemahaman tentang prototipe smart photovoltaic solar charging system dalam bentuk solar tracker menggunakan kontrol logika fuzzy.
SWOT Analysis of the Application of Battery-Free Sensor Systems for Smart Infrastructure: A Literature Review on Micro Energy Technology Dwiyanto, Dwiyanto
Journal of Renewable Engineering Vol. 2 No. 4 (2025): JORE - August
Publisher : Pt. Anagata Sembagi Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62872/n1kyg656

Abstract

The development of smart infrastructure requires sensor systems that can operate autonomously without relying on conventional batteries. This study analyzes the strengths, weaknesses, opportunities, and challenges (SWOT) of implementing battery-free sensor systems based on energy harvesting technology for smart infrastructure through a systematic literature study. The research methodology uses a literature review approach by analyzing 85 indexed international journal articles from the IEEE Xplore, ScienceDirect, SpringerLink, and MDPI databases for the period 2019-2024. The results of the SWOT analysis show that battery-free sensor systems have the main advantages of continuous operation, reduced maintenance costs by up to 60%, and are environmentally friendly. The main disadvantages include the limited energy that can be harvested (0.1-100 µW), dependence on environmental conditions, and the complexity of energy management. The greatest opportunities lie in the growth of the smart city market, which will reach $2.5 trillion by 2025, and the development of low-power communication technologies. Key challenges include fluctuations in environmental energy sources, electromagnetic interference, and data security regulations. This study provides strategic guidance for the development and implementation of battery-free sensor systems in smart infrastructure with energy harvesting efficiency that can be increased up to 85% through design optimization and adaptive energy management algorithms
Effect of Heat Treatment and 1,5% Magnesium Addition on Density, Hardness, and Tensile Strength of Al-Cu-Mg Alloys Junipitoyo, Bambang; Said, Djamaaludin; Dwiyanto, Dwiyanto
SAINSTECH NUSANTARA Vol. 1 No. 3 (2024): August 2024
Publisher : Nusantara Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71225/jstn.v1i3.61

Abstract

This research focuses on adding aluminum 1100 combinations by adding magnesium (Mg) as much as 1.5% and varying the percentage of copper (Cu). 3.9%, 4.1%, 4.3%/ with heat treatment at temperatures of 1000C, 2000C, 3000C, and 4000C  with a holding time at each temperature of 120 minutes, then tested the aluminum combination's density, Vickers hardness, and tensile strength. The final results of this study showed that in the density test, the highest density value obtained was 4.24 gr/cm3 in a mixture of 1.5% magnesium and 4.3% copper (Cu) with a temperature of 2000C. In the Vickers hardness test, the highest hardness value was 83.9 HVN in a mixture of 1.5% magnesium and 4.3% copper with a temperature of 4000C. The final result of the research conducted was to obtain the tensile strength results of each specimen by obtaining the maximum tensile strength of the 4.1% Cu mixture specimen with a temperature of 4000C of 163.2698 Mpa and the highest strain value in the 4.3% Cu mixture specimen with a temperature of 4000C of 0.0472 %, for the results of the lowest elastic modulus value in the 4.3% Cu mixture specimen with a temperature of 2000C of 3147.319 Mpa and the highest value of the 4.1 % Cu mixture specimen with a temperature of 4000C of 5947.898 Mpa.
Co-Authors Abdul Hasan Saragih aghata, frhendy Agung Satria Kesuma Ahmad Faisal Ali Imron Amren S, Hairul Arifannisa Arifannisa Azhari, Muhammad Dimas Beki Subaeki, Fatkhan Gunawan, Aldy Rialdy Atmadja, Beki Catra Indra Darmeli Nasution Darwis Robinson Manalu Ekobelawati, Fransiska Erghoza, Rheinard Ferdinandus Christian, Ferdinandus Hartono Hartono I.S, Rifdian Irfansyah, Ade Iswandi Idris Ivana Wardani Jamaluddin Jamaluddin Jamaluddin, Jamaluddin Jhoni Hidayat Julaihah, Siti Junaidi Pratama Junipitoyo, Bambang Karsim, Karsim La Jaali, La Marzuki, Sinambela Mawardi Muhammad Amril Muhammad Zu Majaya Nabila Yudisha Novalianda, Sari Padli, Ridho Panangian Mahadi Sihombing Panjaitan, Albert Ramadhan, Andri Rizaldy Khair Said, Djamaaludin Sakti, Gunawan Sari Novalianda Sari, Indah Vusvita Seffiani Dwi Azmi Sirait, Donna Nurhaida Masdiana Slamet Hariyadi Sri Indah Rezkika Sumarno . Sunardi Sunardi Sunardi, Sunardi Tekat Sukomardojo Thiro K.Y., Yudhis Thiro Kabul Y, Yudhis Usman Usman Usman Usman