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All Journal Jurnal Online Mahasiswa (JOM) Bidang Ilmu Sosial dan Ilmu Politik MUSTEK ANIM HA Jambura Geo Education Journal Electron: Jurnal Ilmiah Teknik Elektro Economos : Jurnal Ekonomi dan Bisnis Journal Of Renewable Energy Engineering Jurnal Teknologi dan Inovasi Industri
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 Environmental Science Languange, Linguistic, Communication & Media Mechanical Engineering Social Sciences Other

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HUBUNGAN KERJASAMA PARIWISATA INDONESIA-KOREA SELATAN TAHUN 2015-2016 Hidayat, Ikhsan; Harto, Syafri
Jurnal Online Mahasiswa (JOM) Bidang Ilmu Sosial dan Ilmu Politik Vol 4, No 2: WISUDA OKTOBER 2017
Publisher : Fakultas Ilmu Sosial dan Ilmu Politik Universitas Riau

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Abstract

This is a study about international tourism which gives cooperation analysis among countries through tourism. The international tourism cooperation between Indonesia and South Korea, in this case, makes the cooperation bertween Bali province and Jeju Island government as the focus study in order to facilitate the research. International tourism has become the bridge for international countries to work together and benefit each other.This script uses the conceptual base with the concept of international cooperation where in Indonesia and South Korea become the focus of study. It is also supported by the range or nation-state, global perspective and internation cooperate theory. The concept directs to the qualitative methode and literature study as the resource of the information.The cooperation which was conducted by Indonesia (Bali) and South Korea (Jeju) is in form of promotion improvement with the reciprosity system. Reciprocity is a mutually beneficial cooperation or its other name is win-win solution.Keywords: Cooperation, Tourism, Recyprocity
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

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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
Optimizing Rooftop Solar Panel Deployment: A GIS-Based Analysis at KFUPM Hidayat, Ikhsan
MUSTEK ANIM HA Vol 13 No 03 (2024): MUSTEK ANIM HA
Publisher : Faculty of Engineering, Musamus University, Merauke, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35724/mustek.v13i03.6562

Abstract

The Geographic Information System (GIS) factor determines optimal panel placement and orientation for maximizing sunlight exposure and energy generation efficiency. However, the uneven roof characteristics of some buildings like Building 18 KFUPM can result in less efficient placement of solar panels and reduce the potential for solar energy production. This is due to shadows cast by the uneven roof relief, which may obstruct direct sunlight exposure to the solar panels during certain periods of the day. Additionally, this study explores the design and implementation of solar photovoltaic (PV) systems, emphasizing meticulous component selection to optimize performance and efficiency. Key components such as the Sunny Tripower 24000TL-US inverter by SMA and Trina Solar TSM-PD14 320 modules were chosen for their reliability and advanced technology. Through detailed simulations and analyses, the system's design parameters and energy generation potential are evaluated. This installation, comprising 8,205 solar panels, is projected to generate 5,078 GWh annually, marking a significant step towards sustainability goals. Notably, among the ten assessed buildings, capacities range from 27.2 kW to 505.0 kW, highlighting the scale and impact of this project.
Analysis on the Implementation of Green Open Space Management Policies in Parepare City Kasenda, Haikal; Hidayat, Ikhsan
Economos : Jurnal Ekonomi dan Bisnis Vol. 7 No. 3 (2024): ECONOMOS : Jurnal Ekonomi dan Bisnis
Publisher : Fakultas Ekonomi dan Bisnis Universitas Muhammadiyah Parepare

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31850/economos.v7i3.3448

Abstract

In carrying out development, the city government should be more objective in assessing the potential impacts of planned projects. This is crucial as such developments can influence the city's growth and often result in inconsistencies in spatial planning, including green open spaces. In practice, only internal or external factors tend to influence these plans, leading to inefficiencies in managing green open spaces. For instance, internal factors may include transforming a previously non-economical green open space into an economic area without considering its benefits and function as a green space. These issues represent just a small fraction of the challenges in maintaining such spaces. According to the regulations issued by the city government in the form of regional regulations, oversight and legal enforcement are also stipulated for all parties involved in the implementation of green open space management policies in Parepare City. In this regard, the city government must adopt a more objective approach and avoid selectivity in addressing violations of these policies. Based on this rationale, the researcher is intrigued to conduct a study on this topic to analyze the existence and management of green open spaces in greater depth. The study is titled: "Analysis on the Implementation of Green Open Space (GOS) Management Policies in Parepare City."
EVALUASI KINERJA SILIKON DAN PEROVSKITE SEBAGAI BAHAN SEMIKONDUKTOR DALAM TEKNOLOGI SEL SURYA FOTOVOLTAIK Lihawa, Norman; Ahmad, Agil; ilham, Jumiati; Hidayat, Ikhsan
Journal Of Renewable Energy Engineering Vol. 3 No. 1 (2025): Journal Of Renewable Energy Engineering
Publisher : Program Vokasi-Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56190/jree.v3i1.53

Abstract

This study examines the performance comparison of silicon and perovskite as semiconductor materials in photovoltaic solar cell technology. Silicon is known for its long-term stability, consistent power conversion efficiency, and well-established manufacturing infrastructure. However, its high-temperature, energy-intensive production process raises concerns about cost and environmental impact. In contrast, perovskite offers high power conversion efficiency, tunable material structure, and low-temperature fabrication, but faces major challenges in environmental stability and lead-related toxicity. A literature-based approach was applied, analyzing experimental and simulation data to evaluate key parameters such as energy bandgap, efficiency, carrier mobility, and thermal durability. The analysis indicates that combining both materials in tandem configurations presents a promising strategy for developing more efficient, flexible, and environmentally friendly photovoltaic systems
Deep Learning dan Model Tradisional untuk Peramalan Kecepatan Angin di Arab Saudi Hidayat, Ikhsan; Abido, Mohammad Ali
ELECTRON Jurnal Ilmiah Teknik Elektro Vol 6 No 1: Jurnal Electron, Mei 2025
Publisher : Jurusan Teknik Elektro Fakultas Teknik Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/electron.v6i1.312

Abstract

This study evaluates the performance of traditional statistical methods, specifically the Seasonal Autoregressive Integrated Moving Average (SARIMA), in comparison to advanced deep learning models—Long Short-Term Memory (LSTM), Bidirectional LSTM (BiLSTM), and Convolutional Neural Network (CNN)—for wind speed forecasting across various regions in Saudi Arabia: Al-Jouf, Abha, Al-Ahsa, and Al-Dawadami. The historical wind speed dataset covering the year 2018 was utilized, with data preprocessing conducted using the Exploratory Data Analysis (EDA) method to ensure consistency and quality. The models were assessed based on three primary error metrics: Mean Absolute Error (MAE), Mean Squared Error (MSE), and Root Mean Square Error (RMSE). Results show that CNN consistently outperforms SARIMA and the other deep learning models, particularly when forecasting stable wind speed patterns. LSTM demonstrates an ability to handle fluctuating wind speeds effectively, while BiLSTM offers advantages in capturing complex bidirectional temporal dependencies. On the other hand, SARIMA generally exhibits lower performance compared to deep learning approaches. The superior performance of CNN is likely attributed to its strength in local feature extraction and handling spatial patterns effectively, which are beneficial for short-term forecasting. These findings provide valuable insights into model selection for wind energy forecasting and can contribute to optimizing renewable energy integration and planning strategies. Future work may explore hybrid model approaches to further enhance forecasting accuracy.
Analysis of Social Conditions of Heavy Slum Settlement Communities in Kapuk Village, Cengkareng District, West Jakarta Madinatunnisa, Lutfiyah; Alwin, Alwin; Adiputra, Agung; Hidayat, Ikhsan
JAMBURA GEO EDUCATION JOURNAL Volume 6, Issue 1 (2025): Jambura Geo Education Journal (JGEJ)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jgej.v6i1.26491

Abstract

West Jakarta is part of the special area of Jakarta which has developed for a long time as an old city and a metropolitan city. West Jakarta is a dense area that triggers the growth of slums. Slums are areas that do not have basic facilities such as electricity, drinking water, drainage systems, health facilities and public facilities, characterized by buildings that are physically and healthily unsuitable. Slums cause social problems such as poverty, and social problems are out of control. This research is a descriptive research with a Quantitative approach using data tabulation With the aim of this study, it discusses the Social Conditions in the Heavy Slum Settlement Community in Kapuk Village, Cengkareng District, West Jakarta. The result of this study is that there is a comparison of social conditions between slum RW areas in Kapuk Village The Kapuk region has a high immigrant population, which leads to inadequate educational facilities and limited access to clean water, sanitation, and education. Slums in this area can develop due to spatial planning, land status, and economic factors
Analisis Dampak Bencana Tsunami Berdasarkan Parameter Tsunami Melalui Pendekatan Sistem Informasi Geografis Nandi Haerudin; Rahmi Mulyasari; Hesti; Hidayat, Dimas Setiawan; Hidayat, Ikhsan; Harsyah, Ryan Putra; Qalbu, Wan Fahayykal Azimah
Jurnal Teknologi dan Inovasi Industri (JTII) Vol. 6 No. 2 (2025)
Publisher : Fakultas Teknik, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtii.v6i2.119

Abstract

Kota Agung, Kabupaten Tanggamus, Provinsi Lampung, merupakan salah satu wilayah yang rentan terhadap bencana tsunami akibat kedekatannya dengan Samudra Hindia. Penelitian ini bertujuan untuk menganalisis dampak bencana tsunami di wilayah tersebut dengan pendekatan Sistem Informasi Geografis (SIG). Berbagai parameter tsunami, seperti elevasi wilayah, jarak dari garis pantai, dan aksesibilitas jalur evakuasi, dianalisis untuk mengidentifikasi zona risiko dan menentukan strategi mitigasi yang efektif. Metode penelitian meliputi analisis spasial menggunakan perangkat lunak SIG, dengan data yang diperoleh dari survei lapangan, citra satelit, serta sumber sekunder seperti Badan Informasi Geospasial (BIG) dan Badan Meteorologi, Klimatologi, dan Geofisika (BMKG). Hasil analisis menunjukkan bahwa sebagian besar wilayah pesisir Kota Agung memiliki topografi landai dengan elevasi rendah, sehingga sangat rentan terhadap gelombang tsunami. Selain itu, hasil pemetaan menunjukkan bahwa beberapa jalur evakuasi yang ada belum optimal dalam mengakomodasi akses cepat ke daerah yang lebih tinggi. Dengan memahami pola risiko dan karakteristik wilayah, penelitian ini merekomendasikan perbaikan jalur evakuasi, pembangunan infrastruktur penahan tsunami, serta peningkatan edukasi dan kesiapsiagaan masyarakat. Integrasi teknologi SIG dalam analisis risiko bencana terbukti menjadi alat yang efektif dalam mendukung perencanaan mitigasi berbasis data geospasial.
Co-Authors Abido, Mohammad Ali Adiputra, Agung Ahmad, Agil Alwin, Alwin Harsyah, Ryan Putra Hesti Hidayat, Dimas Setiawan Jumiati Ilham Kasenda, Haikal Lihawa, Norman Madinatunnisa, Lutfiyah Nandi Haerudin Okta Karneli, Okta Qalbu, Wan Fahayykal Azimah Rahmi Mulyasari Syafri Harto