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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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Developing Data Mining Prediction System for Health Center Medicine Inventory using Naïve Bayes Classifier Algorithm Roziana, Roziana; Widodo, Aris Puji; Wibowo, Adi
Jurnal Sistem Informasi Bisnis Vol 14, No 4 (2024): Volume 14 Nomor 4 Tahun 2024
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol14iss4pp329-336

Abstract

Public health centers mostly use conventional methods in managing drug supply, usage, and demand data, without a system that can predict the number of drug requests. This research aims to develop a data mining solution by implementing a prediction system using the Naïve Bayes Classifier algorithm to predict drug supplies from the Koni Health Center, Jambi, to the Health Office Pharmacy Installation. The method applied in this research is a quantitative approach through the experimental method. The research data includes inventory, usage, and remaining stock of various types of drugs from 2017 to 2021 which are divided into four quarters. The results of this study show that the classification system using the Naïve Bayes Classifier method is able to classify data quickly and efficiently according to drug supply. The system test results show an accuracy of 73.91%, recall of 85.71%, and precision of 54.54%. These findings can help Puskesmas in optimizing drug inventory management, reducing errors in inventory estimates, and increasing accuracy in meeting patient drug requests.
Car insurance segmentation prediction based on the most influential features using random forest and stacking ensemble learning Vianita, Etna; Wibowo, Adi; Surarso, Bayu; Widodo, Aris Puji
Journal of Soft Computing Exploration Vol. 2 No. 2 (2021): September 2021
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v2i2.39

Abstract

In addition to financial transaction services, the Bank also provides insurance services by conducting regular campaigns to attract new customers such as car insurance based on market segmentation, which is one of the main aspects of marketing used in financial services based on demographic data. One way to analyze the market is to predict the likely target market based on the campaign's target demographic data. Therefore, this study aims to find the best classification method for predicting campaign targets using historical data from 4000 customers of a bank in the United States. The market segmentation analysis process uses the best feature selection and ensemble learning. The best feature selection is selected using important features for Random Forest. The ensemble learning used is a stacking model consisting of the basic model of Logistic Regression, Support Vector Classifier, Gradient Boosting, Extra Tree, Bagging, Adaboost, Gaussian Naive Bayes, MLP, XBoost, LGBM, KNeighbors, Decision Tree, and Random Forest. The accuracy results of the stacking model can exceed the accuracy of the basic model with an accuracy rate of 78.80%.
Gerakan Doa One Cry Indonesia, Upaya Membangun Semangat Doa bagi Gereja-gereja Baptis Indonesia Wibowo, Adi; Suseno, Aji
Teokristi: Jurnal Teologi Kontekstual dan Pelayanan Kristiani Vol 2 No 1 (2022): Mei 2022
Publisher : Sekolah Tinggi Teologi Berita Hidup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38189/jtk.v2i1.251

Abstract

Tulisan ini dibuat sebagai kepedulian penulis bagi kehidupan doa umat Kristen yang ada digereja-gereja baptis Indonesia, yang belum memiliki semangat kuat untuk berdoa. Kecenderungan yang sudah menjadi hal umum dikalangan gereja baptis Indonesia yang menggambarkan kecilnya semangat dalam doa adalah bahwa jemaat yang ikut dalam ibadah jam doa setiap hari Rabu biasanya hanya sepersepuluh dari kehadiran rata-rata ibadah kebaktian hari Minggu. Penelitian ini akan menggambarkan adanya Gerakan Doa One Cry Indonesia yang mulai dijalankan bagi gereja-gereja baptis untuk membangkitkan semangat doa mereka. Penelitian menggunakan metode kualitatif dengan mengumpulkan sumber-sumber yang berhubungan dengan materi penelitian yang bisa dipertanggungjawabkan. Sehingga pada akhirnya didapatkan bahwa Gerakan Doa One Cry Indonesia bisa menjadi upaya yang nyata untuk membangun semangat doa bagi gereja-gereja baptis Indonesia.
Comparative Analysis of Decision Tree and Logistic Regression Models in Employee Recruitment and Selection for Enterprise Success Khairina, Dyna Marisa; Wibowo, Adi; Warsito, Budi
Komputika : Jurnal Sistem Komputer Vol. 13 No. 2 (2024): Komputika: Jurnal Sistem Komputer
Publisher : Computer Engineering Departement, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputika.v13i2.11917

Abstract

Enterprise success is determined by competent Human Resources (HR). The recruitment and selection process of employee candidates plays an important role in producing competent human resources as an effective initial selection increases the chances of finding the right candidate for a particular role. This research predicts the likelihood of a candidate being further selected in the interview phase based on behavioral and functional recruitment and selection which are important aspects of a candidate's potential fit and contribution to the enterprise. The research uses a comparison of decision tree analysis models and logistic regression to make predictions with several measurement metrics to see the accuracy and confusion matrix of each model used. Based on evaluation and validation, the decision tree analysis model is superior in prediction even though the results tend to be the same as the logistic regression model. The accuracy value of the classification using the decision tree model was 86.67% with correct prediction results of 78 data from 90 testing data and the accuracy value of the logistic regression model was 85.55% with correct prediction results of 77 data from 90 testing data. The results of the comparison of the two models show that the performance of the decision tree classifier model tends to be better.
Identification and validation of factors affecting the success of smart village services Hadian, Nur; Purwanto, Purwanto; Wibowo, Adi
Bulletin of Electrical Engineering and Informatics Vol 14, No 1: February 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v14i1.8022

Abstract

This study aims to explore and validate the factors that influence the performance and effectiveness of smart village services. Smart villages have become a focus for improving the quality of life of rural communities in the era of digital technology. However, there is a lack of methods to measure and evaluate the effectiveness of smart villages. We propose a holistic framework to measure and evaluate the effectiveness of smart services in smart villages. In this study, factors that influence the success of smart village effectiveness are identified. How effective the smart village services are can be understood using the information system success model approach by DeLone and McLean. This framework is expected to provide a better understanding of the effectiveness of smart village services so that people are willing to adopt the smart village service concept. In addition, this model can also be used as decision-making support for stakeholders and is expected to improve the quality of life of rural communities in a sustainable manner.
Communication In Pesantren Educational Institutions: The Application Of Social Cognitive Theory In Understanding Social Interaction In The Pesantren Environment Fajrul Falah, M Rizqi; Baharun, Hasan; Wibowo, Adi; Kumala, Shofa Aulia
Mapendis: Jurnal Manajemen Pendidikan Islam Vol 1 No 2 (2023): Islamic Education Management
Publisher : Fakultas Tarbiyah Dan Dakwah Institut Agama Islam An-Nawawi Purworejo

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

Abstract

The purpose of this research is to understand how the learning process occurs in the Nurul Jadid Islamic Boarding School environment through social interaction. The approach used in this research is qualitative with descriptive type. as for the informants of this study consisted of santri, teachers, kyai. the data collection technique used interviews, participatory observation and documentation study. data analysis used in this research is hubermen analysis which consists of several stages, namely data reduction, data presentation and conclusion drawing. The results of this study indicate that Learning Through Observation which consists of Learning Through the Process of Paying Attention, Learning Through the Process of Remembering, Learning Through the Process of Production, Learning Through the Process of Motivation, Application of Social Learning Principles in Pesantren. Sharpening Social Skills, Fostering Tolerance and Harmony, Instilling Ethics and Morals, Encouraging Collaborative Learning, Providing Valuable Life Experience research provides an impact or implication in relation to social interaction among students.
Analisis Perubahan Penggunaan Lahan di Kabupaten Cianjur Astuty, Yulia Indri; Mardalena, Ayu; Wibowo, Adi
Jurnal Spatial Wahana Komunikasi dan Informasi Geografi Vol. 23 No. 1 (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.231.01

Abstract

Cianjur Regency is one of the regencies located in West Java Province that is vulnerable to disasters because it is passed by the Cimandiri fault. Furthermore, according to BPS the population of Cianjur districts during year 2013 – 2021 increased by around 12.64%. The increasing number of population may cause various problems, including that is related to the spatial problems and land use issues. Moreover, the vulnerability of natural disasters is highly related to the land use of the area. Hence, research regarding land use in Cianjur districts to seek the its relation with the vulnerability of natural disasters is needed. This study conducted a land use analysis using Landsat 8 satellite imagery for 2013 and 2022 in 6 sub-districts in Cianjur district. To obtain land use classification of study area, an unsupervised classification of Landsat imagery is conducted with using Iso class algorithms. There three classes of land use resulted, namely namely built-up land, high vegetation and low vegetation. The overall accuracy of the data from year 2013 is 82.67% with kappa index of 0.74. Moreover the overall accuracy of the data from year 2022 is 89.33% with kappa index of 0.84. Changes of land use can be seen when these two different year data are overlay. Overall, the main differences are increasing number of built-up area and high vegetation land use classification while the low vegetation shows a decreasing number. It is hoped that this research can contribute to policy makers in establishing decisions related to spatial planning for sustainable development in disaster-prone areas around Cianjur district.
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.
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