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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Informatika Geo Media: Majalah Ilmiah dan Informasi Kegeografian Jurnal Masyarakat Informatika JURNAL SISTEM INFORMASI BISNIS Jurnal Simetris Bulletin of Electrical Engineering and Informatics QUALITY Jurnal EECCIS Jurnal Transformatika International Journal of Advances in Intelligent Informatics Journal of Information System Journal of Applied Geospatial Information Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Informatika Jurnal CoreIT Acta Pharmaciae Indonesia : Acta Pharm Indo JMM (Jurnal Masyarakat Mandiri) AL-TANZIM : JURNAL MANAJEMEN PENDIDIKAN ISLAM KOMPUTIKA - Jurnal Sistem Komputer J SIG (Jurnal Sains Informasi Geografi) Spatial : Wahana Komunikasi dan Informasi Geografi Journal of Community Based Environmental Engineering and Management DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) Jurnal Isema : Islamic Educational Management Geodika: Jurnal Kajian Ilmu dan Pendidikan Geografi PREPOTIF : Jurnal Kesehatan Masyarakat JATI EMAS (Jurnal Aplikasi Teknik dan Pengabdian Masyarakat) Indonesian Journal of Electrical Engineering and Computer Science Indonesian Journal of Islamic Education Studies (IJIES) Journal of Soft Computing Exploration International Journal of Computer and Information System (IJCIS) Indonesian Journal of Earth Sciences Journal Computer Science and Informatic Systems : J-Cosys Journal Of World Science Teokristi: Jurnal Teologi Kontekstual dan Pelayanan Kristiani Jurnal Islam Nusantara SIENNA Mandala of Health : A Scientific Journal Kartika: Jurnal Studi Keislaman International Journal of Multidisciplinary Approach Research and Science 'Asabiyah: Jurnal Pengabdian Hukum Jurnal Geografi LIngkungan Tropik (Journal of Geography of Tropical Environments) Mapendis Jurnal Komplikasi Anestesi Scientific Journal of Informatics Indonesian Journal of Islamic Education Studies (IJIES) Jurnal Kefarmasian Indonesia Proceeding Of International Conference On Education, Society And Humanity Intelektual: Jurnal Pendidikan dan Studi Keislaman International Journal of Instructional Technology Journal of Software Engineering And Technology Jurnal Info Kesehatan
Adi Wibowo
STAI An-Nawawi Purworejo
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Physics Public Health Social Sciences Other

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Identifying the Impact of Shoreline Change on Land Use in Bedono Village with Google Earth Nagara, Rakyan Paksi; Wibowo, Adi
Journal of Community Based Environmental Engineering and Management Vol. 8 No. 1 (2024): March 2024
Publisher : Department of Environmental Engineering - Universitas Pasundan - Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jcbeem.v8i1.11382

Abstract

Sloping coastal areas pose a threat to environmental degradation. Previous data and research show that the north coast of Java Island is a sensitive area to abrasion that was exacerbated by sea level rise and land subsidence, one of which occurs in Bedono Village, Demak Regency. Bedono Village is the village that has lost the most land. Based on the latest administrative boundary data, Bedono Village has been divided into three pockets surrounded by sea areas. This study aims to determine the spatial-temporal impacts of shoreline changes on land use in Bedono Village using Google Earth data. In the last two decades, there has been a significant change in the coastline and its impact on land use change. Residential areas continue to decrease in size, reaching 16.38 ha. Ponds, as the most dominating area in 2003, also continued to decrease in area by 127.27 ha or 100% of the initial area. The loss of this land use was replaced by the inundation of sea water that continued encroaching into the land area. A total of 197 residential building units were lost, or an average of 788 people were affected. This study concluded the severe facts and impacts of shoreline change that must be addressed to reduce potential losses.  
Analisis Kondisi dan Distribusi Spasial Kawasan Resapan Air di Kota Tangerang Menggunakan Sistem Informasi Geografis Asri, Riyadul; Wibowo, Adi
Geodika: Jurnal Kajian Ilmu dan Pendidikan Geografi Vol 8 No 1 (2024): Mei 2024
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/geodika.v8i1.25730

Abstract

Penelitian ini bertujuan untuk mengetahui kondisi dan distribusi spasial kawasan resapan air di Kota Tangerang. Untuk tujuan tersebut, maka dalam penelitian ini dilakukan pemetaan kondisi kawasan resapan air dan distribusi spasialnya di Kota Tangerang. Data yang digunakan dalam penelitian ini adalah data jenis tanah, data curah hujan, data penggunaan lahan dan data kemiringan lereng. Metode skoring digunakan untuk menghasilkan kriteria kondisi kawasan resapan air. Setelah itu data dianalisis dengan pendekatan Sistem Informasi Geografi (SIG) dengan teknik overlay. Hasil penelitian ini menunjukkan bahwa kondisi dan distribusi spasial kawasan resapan air di Kota Tangerang yaitu: 1) Kondisi dengan kriteria Sangat Kritis seluas 5,998,357 Ha (39%), meliputi Kecamatan Ciledug, Cipondoh, Karang Tengah, Negalsari dan Kecamatan Pinang; 2) Kondisi dengan kriteria Baik seluas 2,959,535 Ha (19%) meliputi Kecamatan Jatiuwung dan Kecamatan Tangerang; 3) Kondisi dengan kriteria Agak Kritis seluas 1,168,590 Ha (8%) meliputi Kecamatan Batu Ceper, Benda, Cipondoh, Karang Tengah, Larangan, Negalsari, dan Kecamatan Pinang; 4) Kondisi dengan kriteria Mulai Kritis seluas 1,921,411 Ha (13%) meliputi  Kecamatan Cibodas, Cipondoh, Jatiuwung, Karang Tengah, Karawaci, Negalsari, Periuk, Pinang dan Kecamatan Tangerang; 5) Kondisi normal alami seluas 3,239,787 Ha (21%) meliputi Kecamatan Batu Ceper, Benda, Ciledug, Cipondoh, Karang Tengah, Larangan, Negalsari, Pinang, dan Tangerang.
Analisis Kesesuaian Kawasan Permukiman di Kabupaten Sukoharjo Menggunakan Spatial Multi Criteria Analysis Widiastuti, Rastika; Wibowo, Adi
Geodika: Jurnal Kajian Ilmu dan Pendidikan Geografi Vol 9 No 1 (2025): Januari 2025
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/geodika.v9i1.28962

Abstract

Pertumbuhan ekonomi dan peningkatan jumlah penduduk di Surakarta memengaruhi perkembangan kawasan permukiman di Kabupaten Sukoharjo. Ekspansi permukiman yang tidak terkendali berpotensi menimbulkan berbagai permasalahan lingkungan. Oleh sebab itu perlu dilakukan analisis kesesuaian lahan untuk perencanaan kawasan permukiman agar tidak menimbulkan kerugian bagi masyarakat. Penelitian ini bertujuan untuk menganalisis kesesuaian kawasan permukiman dan mengevaluasi peruntukan kawasan permukiman sebagaimana tercantum dalam Rencana Tata Ruang Wilayah (RTRW) Kabupaten Sukoharjo. Analisis dilakukan menggunakan metode Spatial Multi-Criteria Analysis (SMCA) yang mampu menganalisis banyak kriteria/variabel untuk pemilihan lokasi dan pengambilan keputusan. Variabel yang digunakan dalam penelitian ini adalah jarak dari jalan, jarak dari sungai, lokasi kawasan industri, kelerengan, kerawanan banjir, penutup lahan, dan jenis tanah. Hasil penelitian menunjukkan kabupaten Sukoharjo terbagi dalam kategori sesuai, cukup sesuai, kurang sesuai, dan tidak sesuai untuk kawasan permukiman. Sedangkan hasil evaluasi peruntukan permukiman dalam RTRW menunjukkan 63% alokasi kawasan permukiman masuk dalam kategori cukup sesuai, 27% sesuai, dan 10% tidak sesuai. Temuan ini memberikan masukan penting bagi pengelolaan tata ruang yang berkelanjutan di Kabupaten Sukoharjo.
Integration of Random Forest, ADASYN, and SHAP for Diabetes Prediction and Interpretation Aulia, Hozana; Wibowo, Adi; Sutrisno, Sutrisno
Scientific Journal of Informatics Vol. 12 No. 2: May 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v12i2.24314

Abstract

Purpose: Diabetes is a chronic disease with a globally rising prevalence. Early detection of individuals at risk is essential to prevent long-term complications. This study aims to develop a diabetes prediction model that not only achieves high classification accuracy but also provides transparent explanations of the factors influencing its predictions. Methods: The study utilized the Pima Indians Diabetes Dataset, which contains clinical data from 768 female patients aged over 21. The methodology included data preprocessing (handling of missing values and feature engineering, such as the creation of Age_BMI and Glucose_BMI features), a 70:30 train-test split, class imbalance handling using the ADASYN technique, model development using the Random Forest algorithm with hyperparameter tuning via GridSearchCV, and model interpretability analysis using SHAP. Result: The proposed model achieved an accuracy of 79.2% and a recall of 85.2% on the test data. SHAP analysis revealed that Glucose, Age_BMI, BMI, and DiabetesPedigreeFunction were the most influential features in predicting diabetes. Furthermore, the SHAP heatmap indicated that individuals aged 30–50 years with obesity were at the highest risk. These findings align with existing medical literature, reinforcing the role of metabolic and age-related factors in diabetes development. Novelty: This study presents an integrative approach combining class balancing (ADASYN), classification (Random Forest), and model interpretability (SHAP) in a unified framework for diabetes prediction. It emphasizes the importance of transparent model interpretation for healthcare professionals, enabling not only predictive outcomes but also actionable insights into risk factors. The findings support future research opportunities, including the integration of lifestyle variables and external validation using real-world clinical data from diverse populations.
The Role of Big Data in Improving Educational Management Decisions in Madrasah Wibowo, Adi; Faridah, Ida; Nurmalasari, Ita
International Journal of Instructional Technology Vol 2, No 1 (2023)
Publisher : Universitas Nurul Jadid Probolinggo, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/ijit.v2i1.9323

Abstract

This study aims to explore the role of Big Data in improving educational management decisions in Madrasah. Using a qualitative approach with case studies, the research subjects include educational managers, teaching staff, and students. Data collection techniques consist of observation, interviews, and documentation, while data analysis includes reduction, presentation, and drawing conclusions. The results of the study indicate that the application of Big Data significantly improves educational management decisions through four main indicators: student performance analysis, learning personalization, operational efficiency, and trend prediction. Big data analysis allows management to optimize resource allocation, adjust teaching methods to student needs, and make more accurate data-based decisions. The application of Big Data also helps in identifying educational trends and reducing waste, which ultimately improves the quality of education and operational efficiency. These findings underline the importance of data technology integration in designing more effective and result-oriented educational policies and strategies.
EVALUASI RTRW BERDASARKAN ASPEK RTH DAN KERENTANAN BENCANA (STUDI KASUS: KOTA MAGELANG) Purwaningsih, Yuli; Setiawan, Heri; Wibowo, Adi
J SIG (Jurnal Sains Informasi Geografi) Vol 7, No 2 (2024): Edisi November
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/jsig.v7i2.3166

Abstract

Evaluation of city planning based on aspects of Green Open Space (RTH) and disaster vulnerability is an important part of realizing a sustainable city. This research aims to evaluate the conformity of the Spatial Plan (RTRW) of Magelang City based on aspects of Green Open Space (RTH) and disaster vulnerability, as well as provide recommendations for the sustainability of the city in the future. The methods used include analysis of vegetation land cover using Random Forest classification and NDVI from Landsat 9 imagery in 2023 to evaluate RTH, as well as overlaying disaster vulnerability maps of floods and landslides from BNPB with the spatial plan map of RTRW. The results of the study indicate that the area of green open space in Magelang City still meets the minimum standard of 30% of the total area. However, there is a discrepancy in the use of the river border area of the Elo River covering an area of 1.14 hectares due to the presence of buildings standing on the river border. The areas of Wates and Gelangan Villages are prone to flood and landslide disasters with sloping conditions ranging from slightly steep to steep. The recommendations include the development of private green open spaces, drainage system management, not building houses around cliffs and rivers, socialization related to disasters, and emphasizing regulations to not build homes in river borders and not deforesting.
KESESUAIAN KAWASAN PERDAGANGAN KOTA SERANG MENGGUNAKAN METODE SPATIAL MULTICRITERIA EVALUATION Pradono, Kuncoro Adi; Wibowo, Adi; Veronica, Kiki Winda
J SIG (Jurnal Sains Informasi Geografi) Vol 7, No 2 (2024): Edisi November
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/jsig.v7i2.3006

Abstract

An open source geographic information system (GIS) can assist stakeholders in assessing the suitability of trade areas to support economic growth and sustainable development. Serang City as the capital of Banten Province from the expansion of West Java Province is a developing area, one of which is a new trade center. The spatial multicriteria evaluation (SMCE) method, one of the features of ILWIS, is used to evaluate the suitability of trade areas in Serang City. The factors considered in evaluating the suitability of trade areas are zonation, accessibility, and visibility. Through the results of SMCE analysis, as much as 16% or about 4000 hectares are suitable for trade areas, most of which are scattered in the city center, while 80% are not suitable if they are intended for trade areas.  Serang and Taktakan sub-districts are the most suitable areas, while Kasemen sub-district is generally unsuitable. This is still in line with the RTRW 2008-2030. The open source-based software in this study effectively performs SMCE analysis. This study is expected to provide a reference for the relevant government, stakeholders and investors to develop a sustainable trade area in Serang City.
ANALISIS SPASIAL TEMPORAL PERUBAHAN TUTUPAN LAHAN AKIBAT PEMBEBASAN LAHAN PEMBANGUNAN BANDARA INTERNASIONAL KERTAJATI Purwaningsih, Yuli; Wibowo, Adi; Setiawan, Heri
J SIG (Jurnal Sains Informasi Geografi) Vol 7, No 1 (2024): Edisi Mei
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/jsig.v7i1.2690

Abstract

The development of the Kertajati International Airport project in Majalengka Regency, West Java, directly impacts land cover change. The land cover change comes from land acquisition by residents in Kertajati, Bantarjati, Kertasari, Sukamulya, and Sukakerta Villages. This study aims to analyze land cover changes before and after the construction of Kertajati International Airport in each village and analyze the process of residential land acquisition and the airport construction process spatially and temporally. This research uses a spatial-temporal analysis method by comparing land cover before and after the construction of Kertajati International Airport in each village and visual interpretation using Google Earth image data in 2009, 2013, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, and 2023. The results showed that land cover change affected paddy fields, settlements, and moorlands. The most affected paddy fields are in Kertajati and Bantarjati Villages. Then, the most affected residential land is Kertasari Village. Land clearing of residential land was carried out in different years for each village due to the land acquisition process. The construction of Kertajati International Airport was carried out from 2013 to 2018, but after this period, there was still an additional runway in Sukamulya Village. This research proves that Google Earth imagery can help analyze land cover change.
Use of Artificial Intelligence in Early Warning Score in Critical ill Patients: Scoping Review Ismail, Suhartini; Wardah, Zahrotul; Wibowo, Adi
JURNAL INFO KESEHATAN Vol 21 No 4 (2023): JURNAL INFO KESEHATAN
Publisher : Research and Community Service Unit, Poltekkes Kemenkes Kupang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31965/infokes.Vol21.Iss4.1105

Abstract

Early Warning Score (EWS) systems can identify critical patients through the application of artificial intelligence (AI). Physiological parameters like blood pressure, body temperature, heart rate, and respiration rate are encompassed in the EWS. One of AI's advantages is its capacity to recognize high-risk individuals who need emergency medical attention because they are at risk of organ failure, heart attack, or even death. The objective of this study is to review the body of research on the use of AI in EWS to accurately predict patients who will become critical. The analysis model of Arksey and O'Malley is employed in this study. Electronic databases such as ScienceDirect, Scopus, PubMed, and SpringerLink were utilized in a methodical search. Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA SR) guidelines were utilized in the creation and selection of the literature. This analysis included a total of 14 articles. This article summarizes the findings on several aspects: the usefulness of AI algorithms in EWS for critical patients, types of AI algorithm models, and the accuracy of AI in predicting the quality of life of patients in EWS. The results of this review show that the integration of AI into EWS can increase accuracy in predicting patients in critical condition, including cardiac arrest, sepsis, and ARDS events that cause inhalation until the patient dies. The AI models that are often used are machine learning and deep learning models because they are considered to perform better and achieve high accuracy. The importance of further research is to identify the application of AI with EWS in critical care patients by adding laboratory result parameters and pain scales to increase prediction accuracy to obtain optimal results.
Spatial multi criteria evaluation sebagai pemodelan spasial untuk kesesuaian pengembangan kawasan permukiman di Bogor Raya Hadi, Marhensa Aditya; Putri, Niken Anissa; Shofy, Yuny Fikriyah; Gafuraningtyas, Dewi; Wibowo, Adi
Geomedia Majalah Ilmiah dan Informasi Kegeografian Vol. 21 No. 1 (2023): Geo Media: Majalah Ilmiah dan Informasi Kegeografian
Publisher : Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/gm.v21i1.55737

Abstract

Meningkatnya aktivitas antropogenik di suatu wilayah menyebabkan perubahan pada penggunaan lahan. Penggunaan lahan yang tidak memperhatikan kondisi fisik dan perencanaan yang matang dapat memicu terjadinya bencana dan dampak negatif lainnya. Oleh sebab itu, penentuan dan perencanaan penggunaan lahan yang sesuai peruntukannya perlu dilakukan secara tepat dan terukur. Metode Spatial Multicriteria Analysis (SMCA) dan Spatial Multicriteria Evaluation (SMCE) dapat membantu menentukan perencanaan kawasan salah satunya dalam studi kasus ini adalah pengembangan permukiman. Hasil dari penelitian ini dapat memberikan masukan dan rekomendasi akademis mengenai lokasi yang dapat diubah peruntukannya menjadi kawasan permukiman pada revisi tata ruang. Bogor Raya tidak mengalami penambahan penduduk yang signifikan sehingga kebutuhan mengenai lahan permukiman bukan menjadi hal yang mendesak, namun jika diperlukan pengembangan kawasan permukiman, didapatkan bahwa masih cukup banyak lokasi sesuai untuk digunakan sebagai permukiman, sebesar 42,4% dari Bogor Raya tergolong Sesuai, dan 25,8% tergolong Sangat Sesuai, dibandingkan peruntukan dalam rencana tata ruang yang dialokasikan sebesar 36,3% sebagai permukiman.
Co-Authors Adi Wibowo Adiputera, Yusuf Fahmi Agus Winarno, Agus Airawata, Chintya Puteri Akhmad Yun Jufan Amir Amir Andre Leander Anggraini, Kurnia Anindya Wirasatriya Aprillia, Teya Aris Puji Widodo Aris Sugiharto Arista, Faza Ariyanti, Atika Astuty, Yulia Indri Aulia Kumala, Shofa Aulia, Hozana Baharun, Hasan Baskoro Baskoro, Baskoro Bayu Surarso Budi Warsito Cendani, Linggar Maretva Chin, Wei Hong Daimah Daimah Daimah, Daimah Djayanti Sari Drihananto, Angga Dyna Marisa Khairina eka rahmawati Evi Frimawaty Fajrul Falah, M Rizqi Faridah, Ida Febriatul Khasanah, Qoidah Firdonsyah, Arizona Gafuraningtyas, Dewi Gunanto, Sigit Hadi, Marhensa Aditya Handayani, Alfania Sarah Helmie Arif Wibawa HENDRI WASITO Hening Pratiwi, Hening Heri setiawan I Ketut Agung Enriko Imam Ahmad Ashari, Imam Ahmad Indra Jaya Indrajaya, Indrajaya Ita Nurmalasari Junta Zeniarja khusnul khotimah Khusnul Khotimah Kosasih, Eva Dania Kubota, Naoyuki Kumala, Shofa Aulia Kuncoro Adi Pradono Kurnianingsih Kurnianingsih, Kurnianingsih Kushartantya Kushartantya Leni Leni Lily Puspa Dewi Lutfan Lazuardi Made Suadnyani Pasek Maori, Nadia Annisa Mardalena, Ayu Moh. Roqib Mohamad Madum Muhajir Muhajir, Muhajir Mulyani, Heny Muslihatin Nurhasanah Nia Kurnia Sholihat, Nia Kurnia Noer, Marwah Noor Azizah Nugroho, Adam Nur Cholid, Nur Nur Hadian Nurmalasari, Ita Paramitha Putri, Nadya Pradono, Kuncoro Adi Pratomo, Bhirowo Yudho Purwaningsih, Yuli Purwanto Purwanto Putri, Niken Anissa Putro, Abraham Timotius Asmoro Rahmadi Rakyan Paksi Nagara 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 Saepurohman, Aep Shintiani, Selly Shofy, Yuny Fikriyah Siti Nur Hasanah, Siti Nur Slamet Riyanto Solihat, Nia Kurnia Sri, Tovani subur subur Suhartini Ismail, Suhartini Supriyatin, Tabah Suseno, Aji suswati suswati Sutikno Sutikno Sutrisno, Sutrisno Tri, Indra Gaya Triraharjo, Bambang Ulumuddin, Imam Khoirul Veronica, Kiki Winda Vianita, Etna Wahyudi, Edi Wahyul Amien Syafei WARDAH, ZAHROTUL Whisnumurti Adhiwibowo Wiranjaya, I Wayan Satryadi Yulia, Nunung Z, M Abdul Fatah Z, Muhammad Abdul Fatah