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Perubahan Tutupan Vegetasi terhadap Daerah Rawan Longsor di Kabupaten Cianjur, Provinsi Jawa Barat Rahmadi; Wibowo, Adi
Jurnal Spatial Wahana Komunikasi dan Informasi Geografi Vol. 23 No. 2 (2023): Spatial : Wahana Komunikasi dan Informasi Geografi
Publisher : Department Geography Education Faculty of Social Science - Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/spatial.232.10

Abstract

Analisis Spasial Temporal Perubahan Tutupan Lahan di Sekitar Waduk Pendidikan Diponegoro menggunakan Data Google Earth Astuty, Yulia Indri; Wibowo, Adi
Jurnal Spatial Wahana Komunikasi dan Informasi Geografi Vol. 23 No. 2 (2023): Spatial : Wahana Komunikasi dan Informasi Geografi
Publisher : Department Geography Education Faculty of Social Science - Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/spatial.232.05

Abstract

The Diponegoro Education Reservoir is located in Tembalang District, Semarang City, Central Java Province. This reservoir was built for academic purposes and also to control floods around its neighbourhood. Semarang City has a high level of floods vulnerability. Located in the northern part of Java Island which is close to the Java Sea added with limited land availabilty and increased number of human population, make Semarang City is prone to flood. Based on data from the Central Statistics Agency, in 2007 the population in Semarang City was around 1.45 million people, in 2015 it rose to 1.59 million people, and in 2021 it will again increase to 1.65 million people. This increase in population cause various spatial problems that have an impact on flood vulnerability, one of which is the problem of land use. Therefore, a land cover analysis around the Diponegoro Education Reservoir is needed. This study conducted a temporal spatial analysis of land cover for 2007, 2015 and 2022 using Google Earth data. The method used is on screen digitization to obtain 3 classes of land cover classification, namely bodies of water, built-up land and non-built-up land. The hope is that the results of this research can present land cover data around the Diponegoro Education Reservoir in 2007, 2015 and 2022 as input to policy makers regarding spatial planning and disaster for sustainable development.
Prediksi Pertumbuhan Penduduk dengan Google Earth Pro Studi Kasus Kelurahan Madyopuro Kota Malang Kuncoro Adi Pradono; Wibowo, Adi
Jurnal Spatial Wahana Komunikasi dan Informasi Geografi Vol. 24 No. 2 (2024): SPATIAL: Wahana Komunikasi dan Informasi Geografi
Publisher : Department Geography Education Faculty of Social Science - Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/spatial.242.004

Abstract

The construction of the Trans Java toll road has brought development to the areas it passes through. As happened in Madyopuro Village, Malang City, which was transformed into a satellite city due to the construction of the toll exit, some unoccupied land in this area began to be looked at by developers to build settlements known from the 2019 image. In addition, supporting facilities in the form of arterial roads were widened so that access to the eastern region of the village became easy. This settlement development factor is an indicator of population growth. The purpose of this research is to analyze changes in the number of settlements with Google Earth Data. The method used is snapshoot analysis through Google Earth Pro image data which is available in full and easily accessible in a multi-spatial and multi-temporal manner. The results are used to predict the amount of population growth. Images from Google Earth are rectified then the amount of built-up land in the form of settlements is calculated through the appearance of the roof. Furthermore, the number of each building is correlated with the population of each building based on SNI-03-1733-2004. The results of this calculation were compared with population data for that year using data from the Central Statistics Agency (BPS). The results of this research show that the population based on predictions in 2015 amounted to 18,604 people, in BPS data 19,566 people. For 2019, predictions with this method show a number of 20,020 people and BPS data shows 20,067 people. The prediction in 2023 is 21,544 people. Through image data from Google Earth Pro, the population predicted by this method is close to data from BPS in 2015 and 2019 with a difference. The conclusion is that data on changes in house buildings from Google Earth can be used to predict the number of people affected by toll road construction.
Overcoming Learning Disorder through Parental Involvement in Madrasah Amir Amir; Hasan Baharun; Adi Wibowo; Muslihatin Nurhasanah
Intelektual: Jurnal Pendidikan dan Studi Keislaman Vol. 12 No. 3 (2022): Intelektual: Jurnal Pendidikan dan Studi Keislaman, Desember 2022
Publisher : Program Pascasarjana Universitas Islam Tribakti Lirboyo Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33367/ji.v12i3.2960

Abstract

This study describes parental involvement in overcoming learning disorders at Madrasah Ibtidaiyah. In overcoming learning difficulties (concentration) experienced by students, it is closely related to the role of parents and the surrounding environment. This research uses a qualitative case study approach. There were eight informants in this study, consisting of principals, teachers, parents, and students who were experiencing learning disorders. Data analysis is data collection, condensation, display, and conclusions. The results of the research obtained are that there are six forms of parental involvement carried out by parents of Madrasah Ibtidaiyah students in overcoming their child's learning disorder, including (1) Giving More Attention, (2) Cooperation with the School, (3) Enthusiasm for School Programs, (4) Assisting children in doing school assignments at home, (5) Updates on Child Development Information, (6) and Facilitating tutoring at home.
Building the Pesantren Reputation: Implementation of Inbound Marketing Baharun, Hasan; Wibowo, Adi; Rizal, Himmatur
Intelektual: Jurnal Pendidikan dan Studi Keislaman Vol. 13 No. 3 (2023): Intelektual: Jurnal Pendidikan dan Studi Keislaman, December 2023
Publisher : Program Pascasarjana Universitas Islam Tribakti Lirboyo Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33367/ji.v13i3.4540

Abstract

This study explores Islamic boarding schools' (pesantren) inbound marketing reputation-building, which focuses on content that is relevant, interesting and of high value to influence public perception. This study uses a descriptive qualitative approach with data collection techniques through interviews, accurate documentation, and researcher observations at the Nurul Jadid Islamic Boarding School. This study reveals four research findings: first Attract, second Convert, third Close, and fourth Delight in implementing inbound marketing at the Nurul Jadid Islamic Boarding School. From this research, the inbound marketing strategy of Nurul Jadid has a positive impact on public perception of it. By providing relevant and high-quality content, Islamic boarding schools can build better community relationships and a strong reputation in the current technological era. They are expected to be able to produce educational content, such as articles and videos, which can influence public perception. Through social media, websites and other digital platforms, Islamic boarding schools can build active and positive online communities. With consistency in conveying Islamic boarding school messages and values, public perception will become better and more inclusive. This research can provide valuable insight for traditional Islamic educational institutions in utilizing modern marketing techniques, such as inbound marketing, to develop the reputation of Islamic boarding schools in the digital era. Apart from that, the results of this research can also contribute to the literature on marketing strategies in the educational context.
Integration of Artificial Intelligence in Completing Final Projects as a Form of Student Independence and Creativity Wibowo, Adi; Faridah, Ida
Intelektual: Jurnal Pendidikan dan Studi Keislaman Vol. 14 No. 3 (2024): Intelektual: Jurnal Pendidikan dan Studi Keislaman
Publisher : Program Pascasarjana Universitas Islam Tribakti Lirboyo Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33367/ji.v14i3.6453

Abstract

This research explores the role of artificial intelligence (AI) integration in increasing student independence and creativity while completing the final project in higher education. This research is based on technological advances in artificial intelligence used by students in their final projects as a form of creativity and student independence. This study uses a qualitative approach with a multi-case case study design in two Islamic religious universities. Data was collected through in-depth interviews with several lecturers and students and top management as informants, observations, and documentation analysis, which were then analyzed using data reduction techniques and inductive conclusions drawn. The main findings of this study reveal that the application of AI in final projects not only speeds up the completion process but also stimulates students' creativity through advanced analytical tools that allow them to explore innovative solutions to complex problems. In addition, AI will enable students to develop research independence and encourage them to think critically and adaptively to technological changes in an academic context. The research findings as a practical contribution show that integrating AI in the curriculum and final projects can enrich the learning process, broaden academic horizons, and improve students' readiness to face rapidly evolving industry challenges.
Pendeteksi Suhu dan Kelembaban Ruangan Menggunakan Sensor DHT11 Berbasis Web Server Nugroho, Adam; Wibowo, Adi; Triraharjo, Bambang
Sienna Vol 5 No 2 (2024): Sienna Volume 5 Nomor 2 Desember 2024
Publisher : LPPM Universitas Muhammadiyah Kotabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47637/sienna.v5i2.1644

Abstract

This article discusses the development of an Internet of Things (IoT)-based system to detect room temperature and humidity using a DHT11 sensor whose data is monitored through a web server interface. The research aims to create a real-time monitoring system with effectively integrated data. The research method includes hardware and software design, sensor data collection, and web-based interface development. The results show that this system can detect changes in temperature and humidity with a high level of accuracy and provide easy access via the web. This system has the potential to be applied in the management of indoor environments such as offices, homes, and storage rooms.
Analysis of West Sumatra's Tourism Attraction on The Development of The Minangkabau International Airport Area Anggraini, Kurnia; Wibowo, Adi
Journal of Applied Geospatial Information Vol. 8 No. 2 (2024): Journal of Applied Geospatial Information (JAGI)
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jagi.v8i2.7300

Abstract

The West Sumatra region is very rich in tourism potential, in the form of natural beauty and culture which makes many tourists come to the West Sumatra area. The aim of this research is to analyze the tourist attractions in West Sumatra regarding the development of the Minangkabau International Airport area. The method used in the research uses a qualitative descriptive approach to analyze the tourist attractions in West Sumatra regarding the development of the airport area. The data used to analyze tourist attractions uses secondary data from various related agencies. The development of the airport area uses a remote sensing approach, namely, the digitization method on Google Earth images carried out on Google Earth Pro Software in 2013 and 2023. The results of the research conclude that aircraft movements and passenger movements have increased. From the results of digitization via Google Earth in 2013 and 2023, over the last 10 years, the airport area has experienced development, especially the aircraft parking area, passenger terminal, car parking area, in 2023 there will be additional buildings, namely, the airport station.
Identification of Grouper Fish Types using Convolutional Neural Network Resnet-50 Algorithm Nuraini, Rini; Syafei, Wahyul Amien; Wibowo, Adi; Jaya, Indra
Jurnal Sistem Informasi Bisnis Vol 15, No 2 (2025): Volume 15 Number 2 Year 2025
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss2pp173-178

Abstract

Grouper is a type of fish that is popular with the public. It is necessary to identify the type of grouper fish based on color patterns with increase the epoch value to get the best accuracy. The purpose of the research is to predict the type of grouper. This research use CNN Resnet-50 algorithm. 30 data used. The accuracy of prediction is 75 % to predict the image groupers. In the grouper prediction process, the more we increase the epoch value, we will get the best accuracy value. Epoch is a factor that affects the time of training an AI model and affects the accuracy value of the AI model.
SPATIAL PATTERN OF TROPICAL CYCLONE IN SOUTH INDONESIA DURING 1990-2023 Nur, Agus Salim; Wibowo, Adi; Supriatna, Supriatna, Department of Geography, Faculty of Mathematics and Natural Sciences, Universi; Tampubolon, Stefanus Binoto
Jurnal Geografi Lingkungan Tropik (Journal of Geography of Tropical Environments)
Publisher : UI Scholars Hub

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

Abstract

Tropical cyclones are one of the most destructive weather phenomena because they pose three main dangers: heavy rainfall, strong winds, and storm surge. The occurrence of tropical cyclones is expected to increase both in terms of intensity and geographical spread due to climate change. Indonesia, located around the equator with a low Coriolis force, was previously considered safe from tropical cyclones. This study aims to examine the spatial pattern of tropical cyclones in the southern part of Indonesia during the period from 1990 to 2023 to understand the extent to which tropical cyclones can occur near the equator. The analysis of tropical cyclone data was conducted using satellite imagery and the Dvorak analysis method. The dates and positions (latitude and longitude) were extracted using GIS. The results show that the spatial pattern of tropical cyclones in southern Indonesia between 1990 and 2023 indicates that cyclones are more prevalent in the eastern region of Indonesia (Indian Ocean south of Nusa Tenggara, Timor Sea, Sawu Sea, Arafura Sea, and the Gulf of Carpentaria). Out of a total of 217 tropical cyclones in southern Indonesia, 113 (52%) formed in the eastern region, while 104 (48%) developed in the western region (Indian Ocean southwest of Sumatra to south of Bali). Of the 217 tropical cyclones that formed in southern Indonesia, 44 occurred at latitudes ≤ 11° S, or within Indonesian territory, with 29 (66%) forming in the western region and 15 (34%) in the eastern region of Indonesia. The results conclude that the spatial pattern of tropical cyclones has been updated compared to the previous theory, which stated that Indonesia was a cyclone-free zone due to its location less than 10° from the equator.
Co-Authors Adiputera, Yusuf Fahmi Adiyono, Soni Agus Winarno, Agus Airawata, Chintya Puteri Akhmad Yun Jufan Amir Amir Andre Leander Anggraini, Kurnia Aprillia, Teya Aris Puji Widodo Aris Sugiharto Arista, Faza Ariyanti, Atika Ash Shidiq, Iqbal Putut Astuty, Yulia Indri Aulia Kumala, Shofa Baharun, Hasan Bayu Surarso Budi Warsito Cendani, Linggar Maretva Daimah Daimah Daimah, Daimah Djayanti Sari Dyna Marisa Khairina eka rahmawati Fajrul Falah, M Rizqi Faridah, Ida Firdonsyah, Arizona Gunanto, Sigit Handayani, Alfania Sarah Helmie Arif Wibawa HENDRI WASITO Hening Pratiwi, Hening Imam Ahmad Ashari, Imam Ahmad Indra Jaya Indrajaya, Indrajaya Ita Nurmalasari Junta Zeniarja Kamarudin, Norizah khusnul khotimah Khusnul Khotimah Kosasih, Eva Dania Kumala, Shofa Aulia Kuncoro Adi Pradono Kushartantya Kushartantya Leni Leni Lily Puspa Dewi Made Suadnyani Pasek Maori, Nadia Annisa Mardalena, Ayu Moh. Roqib Mohamad Madum Muhajir Muhajir, Muhajir Mulyani, Heny Muslihatin Nurhasanah Nia Kurnia Sholihat, Nia Kurnia Noor Azizah Nugroho, Adam Nur Hadian Nur, Agus Salim Nurmalasari, Ita Pratomo, Bhirowo Yudho Purwanto Purwanto Putro, Abraham Timotius Asmoro Rahmadi Rahmat Gernowo Rani Rubiyanti, Rani Ratih Permatasari Ratna Saraswati, Ratna Ribah, Muhammad Ato Ibnu Rini Nuraini, Rini Rizal, Himmatur Rofikatul Maula Roisu Eny Mudawaroch Rosyidy, Muhamad Khairul Roziana Roziana, Roziana Semedi, Jarot Mulyo Shintiani, Selly Siti Nur Hasanah, Siti Nur Slamet Riyanto Sobirin Sobirin Solihat, Nia Kurnia Sri, Tovani subur subur Suhartini Ismail, Suhartini Sunukanto, V S Supriatna, Supriatna, Department of Geography, Faculty of Mathematics and Natural Sciences, Universitas Indonesia Supriyatin, Tabah Suseno, Aji suswati suswati Sutikno Sutikno Tampubolon, Stefanus Binoto Tri, Indra Gaya Triraharjo, Bambang Vianita, Etna Wahyudi, Edi Wahyul Amien Syafei WARDAH, ZAHROTUL Whisnumurti Adhiwibowo Wiranjaya, I Wayan Satryadi Yoga Dwi Putra, I Kadek Yulia, Nunung Z, M Abdul Fatah Z, Muhammad Abdul Fatah Zahro, Haura