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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.
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.
Prakondisi Desa Digital di Desa Tamboo Kecamatan Bone Pantai Kabupaten Bone Bolango Yusuf, Taufiq Ismail; Salim, Sardi; Irawaty, Ade; Dako, Amiruddin; Dako, Rahmat; Dali, Sri Wahyuni; Hidayat, Ikhsan
Jurnal Sibermas (Sinergi Pemberdayaan Masyarakat) Vol 8, No 1 (2019): Jurnal Sbermas (Sinergi Bersama Masyarakat)
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/sibermas.v8i1.8209

Abstract

Rural development has undergone significant changes since the digitization of Information and Communication Technology (ICT). Hybrid media technology has proven to make it easier for innovative villages to build networks and empower their communities to narrow the ICT gap, one of which is through community service. This community service is an effort of Gorontalo State University so that the Tridarma of Higher Education is implemented to contribute science and technology to the community. This Community Service was carried out in Tamboo Village, Bone Pantai District, Bone Bolango Regency. The purpose of this Community Service was to provide counseling on how to condition the beginning of a village so that it becomes a digital village. The expected output targets from this activity are: 1) The officials and community in Tamboo Village have knowledge of the importance of the village internet and how to manage infrastructure related to the village internet. 2) Village officials or village internet managers can have the ability to use internet facilities, which can then be developed to create village websites for digitization: village profile data, population data, village resource and potential data and other activities that can be digitized for work effectiveness and efficiency.
PENGONTROLAN ENERGI PANAS DAN KELEMBABAN MENGGUNAKAN SENSOR DHT22 DAN ESP32 PADA PROSES FERMENTASI TEMPE GEMBUS Musa, Wahab; Hidayat, Ikhsan; Alam, Saiful; Asmara, Bambang Panji; Tolago, Ade Irawati
Journal Of Renewable Energy Engineering Vol. 2 No. 1 (2024): Journal Of Renewable Energy Engineering (April)
Publisher : Program Vokasi-Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56190/jree.v2i1.33

Abstract

The fermentation process of tempe embus with conventional methods is highly dependent on weather conditions and requires heat energy (temperature) 25°C - 35°C within 36 - 48 hours. This research aims to stabilize the heat energy and reduce the fermentation process time to get quality tempeh production results in a short time. The research method used is the experimental method by making an automatic temperature and humidity controller and testing its performance. This tool works using the DHT22 sensor and ESP32 microcontroller as the control center. Temperature automation is done with two conditions that are used to regulate lights and fans. If the fermentation temperature is lower than the setpoint, the lower light and upper light turn on, if the temperature rises, the upper light turns off and the fan turns on, to keep the temperature within the pre-set setpoint value. This research shows that the temperature and humidity control device operates stably in the temperature range of 32°C to 35°C. At these temperature conditions, the fermentation process runs stably. At that temperature condition, the fermentation process of tempe embus lasts 16 hours, with testing of color, taste, and smell for the best quality category Tempe.
Perbandingan Kinerja dan Inovasi Material Isolator Listrik: Tinjauan Komprehensif terhadap Faktor Lingkungan, Komposisi Material, dan Metodologi Evaluatif septiyusi, Natia nursuci; Tobuhu, Gilang; Astika putra, I Nengah dwi; Abdullah, Rafli S; Abbas, zulkarnain; Ilham, Jumiati; Hidayat, Ikhsan
Journal Of Renewable Energy Engineering Vol. 3 No. 2 (2025): Journal Of Renewable Energy Engineering (Oktober)
Publisher : Program Vokasi-Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56190/jree.v3i2.54

Abstract

Electrical insulators are vital components in power transmission and distribution systems. The performance of insulators is significantly influenced by environmental conditions, including humidity, pollution, and temperature, as well as their material composition. This study reviews several recent scientific publications related to the performance of ceramic, polymer, and composite insulators under various environmental conditions. The analysis indicates that environmental contamination significantly reduces insulator performance, whereas industrial and agricultural waste-based materials, such as rice husk ash (RHA) and fly ash, offer considerable potential as innovative, environmentally friendly solutions. Experimental and simulation methods play a crucial role in understanding the electrical characteristics of insulators.