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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Informatika Geo Media: Majalah Ilmiah dan Informasi Kegeografian JURNAL SISTEM INFORMASI BISNIS Jurnal Simetris Bulletin of Electrical Engineering and Informatics Jurnal EECCIS Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Transformatika International Journal of Advances in Intelligent Informatics Jurnal Manajemen Pendidikan 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) Edukasi Islami: Jurnal Pendidikan Islam ILKOM Jurnal Ilmiah AL-TANZIM : JURNAL MANAJEMEN PENDIDIKAN ISLAM KOMPUTIKA - Jurnal Sistem Komputer Spatial : Wahana Komunikasi dan Informasi Geografi 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) Jurnal Teknik Informatika (JUTIF) Journal of Soft Computing Exploration International Journal of Computer and Information System (IJCIS) 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 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
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CLASS MANAGEMENT IN IMPROVING THE QUALITY OF ISLAMIC BOARDING SCHOOL EDUCATION Khotimah, Khusnul; Suswati, Suswati; Muhajir, Muhajir; Wibowo, Adi
PROCEEDING OF INTERNATIONAL CONFERENCE ON EDUCATION, SOCIETY AND HUMANITY Vol 2, No 2 (2024): Third International Conference on Education, Society and Humanity
Publisher : PROCEEDING OF INTERNATIONAL CONFERENCE ON EDUCATION, SOCIETY AND HUMANITY

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Abstract

This research aims to describe the student management of MTs Negeri 1 Purworejo, the implementation of student programs in an effort to improve student achievement, and the implementation of student programs in an effort to shape student character at MTs Negeri 1 Purworejo. This type of research is descriptive qualitative. Data collection methods use observation, interviews and documentation methods. Data validity was carried out using data triangulation. The data analysis technique uses a flow model according to Miles and Huberman, namely data collection, data reduction, data presentation, and drawing conclusions. The research results show that: 1) Student management at MTs Negeri 1 Purworejo is carried out by planning, organizing, actualizing and supervising student programs in the field of student development. 2) Implementation of student programs in an effort to improve student achievement at MTs Negeri 1 Purworejo is carried out through fostering academic achievement by the curriculum sector, fostering non-academic achievement through extracurricular activities and building achievement. 3) Implementation of student programs in an effort to shape student character at MTs Negeri 1 Purworejo is carried out through firstly developing student discipline, secondly character building by integrating character values in learning tools, integrating character values in P5RA, self-development or habituation, exemplary activities, and nationalism activities and patriotism.Keywords:   Manajemen Kesiswaan, Prestasi Siswa, Karakter Siswa.
IMPLEMENTATION OF RELIGIOUS CHARACTER EDUCATION BASED ON PESANTREN HOUSING AT SMP NURUL MUTTAQIN PURWOREJO Ribah, Muhammad Ato Ibnu; Aprillia, Teya; Daimah, Daimah; Wibowo, Adi
PROCEEDING OF INTERNATIONAL CONFERENCE ON EDUCATION, SOCIETY AND HUMANITY Vol 2, No 2 (2024): Third International Conference on Education, Society and Humanity
Publisher : PROCEEDING OF INTERNATIONAL CONFERENCE ON EDUCATION, SOCIETY AND HUMANITY

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Abstract

The dynamics of the development of Education in Indonesia has always been colored by various problems which until now continue to be homework together. The problem is related to the Education system, curriculum, quality of graduates, well-being and integrity of educators, infrastructure, costs, and accountability of Education institutions and managers. In addition to these problems, our education is also faced with the problem of the moral decadence of the younger generation. One of the causes of this problem is that educational institutions are still not optimal in carrying out their role. Educational institutions in Indonesia are judged to give a very large portion to the transmission of knowledge, but less or even forget the development of attitudes, values and behavior in learning. Similarly, in the evaluation process, the cognitive dimension becomes the main yardstick to determine the level of student performance. As a result, educational institutions are able to produce graduates who have extensive knowledge but care less about the social environment around them. Ironically, this educational practice also takes place in a madrasah, which is an Islamic educational institution. Madrasas should emulate the efforts made by pesantren in terms of instilling character, namely through habituation, discipline, learning process and integration in learning materials.
RANCANG BANGUN IMPLEMENTASI ALAT JEMURAN OTOMATIS BERBASIS ARDUINO DAN SENSOR HUJAN Wahyudi, Edi; Wibowo, Adi
Journal Computer Science and Information Systems : J-Cosys Vol 5, No 2 (2025): September
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53514/jco.v5i2.658

Abstract

Aktivitas menjemur pakaian sangat dipengaruhi oleh kondisi cuaca, di mana hujan mendadak atau mendung berkepanjangan dapat menyebabkan pakaian yang sedang dijemur menjadi basah kembali. Penelitian ini merancang dan mengimplementasikan sistem jemuran otomatis berbasis mikrokontroler ESP8266 dengan integrasi sensor hujan, sensor LDR, servo MG90S, LCD I2C, buzzer, dan platform Blynk IoT untuk pemantauan dan pengendalian jarak jauh. Algoritme kontrol menggunakan logika berbasis cuaca dan jadwal waktu menjemur (07.30–16.00 WIB) yang disinkronkan melalui Network Time Protocol (NTP). Mekanisme hysteresis diterapkan pada pembacaan sensor LDR untuk mengurangi perubahan status akibat fluktuasi cahaya singkat. Hasil pengujian menunjukkan sistem mampu mendeteksi hujan dan kondisi mendung secara akurat, dengan akurasi rata-rata 93,33% dan waktu respons rata-rata 2,8 detik untuk ketiga kondisi cuaca yang diuji. Sistem dapat menggerakkan jemuran dari posisi keluar ke masuk atau sebaliknya dalam waktu 1,3–1,6 detik, serta mengirimkan data telemetri secara real-time ke dashboard Blynk. Implementasi ini terbukti efektif dalam mengurangi risiko pakaian basah kembali akibat hujan mendadak, meningkatkan efisiensi waktu dan tenaga pengguna, serta mendukung penerapan konsep smart home yang andal dan ramah pengguna.
Big data analytics for relative humidity time series forecasting based on the LSTM network and ELM Kurnianingsih, Kurnianingsih; Wirasatriya, Anindya; Lazuardi, Lutfan; Wibowo, Adi; Enriko, I Ketut Agung; Chin, Wei Hong; Kubota, Naoyuki
International Journal of Advances in Intelligent Informatics Vol 9, No 3 (2023): November 2023
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26555/ijain.v9i3.905

Abstract

Accurate and reliable relative humidity forecasting is important when evaluating the impacts of climate change on humans and ecosystems. However, the complex interactions among geophysical parameters are challenging and may result in inaccurate weather forecasting. This study combines long short-term memory (LSTM) and extreme learning machines (ELM) to create a hybrid model-based forecasting technique to predict relative humidity to improve the accuracy of forecasts. Detailed experiments with univariate and multivariate problems were conducted, and the results show that LSTM-ELM and ELM-LSTM have the lowest MAE and RMSE results compared to stand-alone LSTM and ELM for the univariate problem. In addition, LSTM-ELM and ELM-LSTM result in lower computation time than stand-alone LSTM. The experiment results demonstrate that the proposed hybrid models outperform the comparative methods in relative humidity forecasting. We employed the recursive feature elimination (RFE) method and showed that dewpoint temperature, temperature, and wind speed are the factors that most affect relative humidity. A higher dewpoint temperature indicates more air moisture, equating to high relative humidity. Humidity levels also rise as the temperature rises.
Reclassification of Agroecological Zones: Case Study at Nangapanda, Ende, East Nusa Tenggara Paramitha Putri, Nadya; Frimawaty, Evi; Wibowo, Adi
Journal of World Science Vol. 2 No. 7 (2023): Journal of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jws.v2i7.322

Abstract

An agroecological zone can be one of the agricultural planning assessments that consider the environment's physical conditions and the commodities suitable for those conditions. Mapping of agroecological zones in Indonesia has been carried out by the Ministry of Agriculture but on an extensive coverage (small scale) so that it is not representative at the district level. This study aims to update the spatial map of agroecological zones in Nangapanda District so the agroecological zones map becomes more detailed and more representative to be used as a reference for development at the district level, especially for agriculture. The assessment of agroecological zones will be based on the 2013 AEZ module of the Agricultural Research and Development Agency (BPPP) and carried out with spatial overlay analysis using a geographic information system. The results showed that on a scale of 1:50.000, the agroecological zones formed in Nangapanda were dominated by Zone IIay (dry lowland annual crops) with 9.120,87 ha (47,93%) followed by Zone I (forestry) with 8.432,29 ha (44,31%), Zone IIIay (dry lowland annual and food crops) 690,58 ha (3,63%), Zone IIby (dry midland annual crops) 517,69% (2,72%), and Zone IVay (dry lowland food crops) 270 ha (1,42%). These updated agroecological zones are very different from the 1:250.000 scale BPPP 2013 agroecological zones in terms of zoning, detail, dan spatial patterns. The results of this study are expected to help in planning and decision-making for planting commodities following the environment's physical conditions.
OTOMASI PERALATAN ELEKTRIK DAN PEMANTAUAN SUHU BERBASIS IoT MENGGUNAKAN NODEMCU DAN BLYNK 2.0 Wibowo, Adi; Drihananto, Angga
Journal of Software Engineering and Technology. Vol 3, No 1 (2023): SEAT: Journal Of Software Engineering and Technology
Publisher : Institut Teknologi dan Bisnis Diniyyah Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69769/seat.v3i1.87

Abstract

 Internet of Things (IoT) adalah sebuah konsep di mana sebuah objek tertentu memiliki kemampuan untuk mengirimkan data melalui jaringan dan tanpa adanya interaksi dari manusia ke manusia ataupun dari manusia ke perangkat komputer. Jadi singkatnya, IoT akan menjadi teknologi yang memungkinkan segala hal terkoneksi dengan internet, misalnya mengontrol perangkat rumah seperti AC, kulkas, atau TV kini bisa dilakukan secara remote dari satu perangkat saja. Pengontrolan alat dan instrumen dengan kode dan algoritma yang diinputkan kedalam node MCU ESP 8266. Otomasi rumah menggunakan IoT untuk mengoperasikan lampu atau perangkat rumah tangga lainnya, dapat juga digunakan sebagai sistem keamanan atau sistem aplikasi industri, misalnya, untuk membuka atau menutup gerbang gedung utama, untuk mengoperasikan mesin industri otomatis, atau bahkan untuk mengontrol internet dan komunikasi pelabuhan. Juga lebih banyak ide dapat dilakukan dengan menggunakan teknologi IoT. Fasilitas perusahaan besar atau lembaga pemerintah memiliki banyak lampu, hal ini memungkinkan karyawan lupa mematikan saat meningggalkan ruangannya. Penelitian ini menyarankan solusi yang dapat menghemat energi untuk membantu keamanan mengontrol penggunaan lampu dan kipas pada gedung dengan rumah tinggal menggunakan aplikasi Blynk 2.0. Penelitian ini membuat otomasi peralatan elektrik dan monitor sensor suhu ruangan, dengan atau cara mudah dan biaya rendah melalui koneksi Wi-Fi. Penelitian ini menyarankan solusi yang dapat menghemat energi untuk membantu keamanan mengontrol penggunaan lampu pada gedung atau rumah menggunakan aplikasi Blynk 2.0. penelitian ini berfokus pada pengendalian lampu, kipas angin dan monitor kondisi suhu ruangan menggunakan  aplikasi Blynk 2.0.
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.
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.
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.
Co-Authors Adi Wibowo Airawata, Chintya Puteri Akhmad Yun Jufan Amalia, Iza Nur Amir Amir Andre Leander Anggraini, Kurnia Anindya Wirasatriya Aprillia, Teya Aris Puji Widodo Ariyanti, Atika Astuty, Yulia Indri Aulia Kumala, Shofa Aulia, Hozana Baharun, Hasan Baskoro Baskoro, Baskoro Bayu Surarso Budi Warsito Budiman, Naufal 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 HENDRI WASITO Hening Pratiwi, Hening I Ketut Agung Enriko Imam Ahmad Ashari, Imam Ahmad Indra Jaya Indrajaya Indrajaya Ita Nurmalasari Khawaiji, Imron khusnul khotimah Khusnul Khotimah Kiswanto Kiswanto Kosasih, Eva Dania Kubota, Naoyuki Kumala, Shofa Aulia Kuncoro Adi Pradono Kurnianingsih Kurnianingsih, Kurnianingsih Kusworo Adi Lailiyah, Rosyidah Nur Leni Leni Lily Puspa Dewi Lutfan Lazuardi Made Suadnyani Pasek Maori, Nadia Annisa Mardalena, Ayu Moh. Roqib mohamad jamil Mohamad Madum Muhajir Muhajir, Muhajir Mulyani, Heny Muslihatin Nurhasanah Nahri, Aisyah Chorijatun Nia Kurnia Sholihat, Nia Kurnia Nisa’, Khoirun Noor Azizah Nugroho, Adam Nur Cholid, Nur Nur Hadian Nurmalasari, Ita Paramitha Putri, Nadya Pratomo, Bhirowo Yudho Purwanto Purwanto Putri, Niken Anissa Qolbi, Muhammad Syifaa’ul Rahmadi Rani Rubiyanti, Rani Ratih Permatasari Ribah, Muhammad Ato Ibnu Rini Nuraini, Rini Rizal, Himmatur Rofikatul Maula Roisu Eny Mudawaroch Roziana Roziana, Roziana Saepurohman, Aep Shintiani, Selly Shofy, Yuny Fikriyah Sholihah, Daimah Siti Nur Hasanah, Siti Nur Slamet Riyanto Solihat, Nia Kurnia Sri, Tovani subur subur Suhartini Ismail, Suhartini Supriyatin, Tabah Suseno, Aji suswati suswati Sutrisno, Sutrisno Tri, Indra Gaya Triraharjo, Bambang Ulumuddin, Imam Khoirul Vianita, Etna Wahyudi, Edi Wahyul Amien Syafei WARDAH, ZAHROTUL Whisnumurti Adhiwibowo Wiranjaya, I Wayan Satryadi Yulia, Nunung