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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Informatika Jurnal Masyarakat Informatika JURNAL SISTEM INFORMASI BISNIS Jurnal Simetris Bulletin of Electrical Engineering and Informatics QUALITY Jurnal EECCIS Jurnal Transformatika Journal of Information System Journal of Applied Geospatial Information Sinkron : Jurnal dan Penelitian Teknik Informatika Jurnal Informatika Acta Pharmaciae Indonesia : Acta Pharm Indo JMM (Jurnal Masyarakat Mandiri) KOMPUTIKA - Jurnal Sistem Komputer J SIG (Jurnal Sains Informasi Geografi) Spatial : Wahana Komunikasi dan Informasi Geografi DIKEMAS (Jurnal Pengabdian Kepada Masyarakat) Jurnal Isema : Islamic Educational Management 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) Journal Computer Science and Informatic Systems : J-Cosys 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 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
Adi Wibowo
STAI An-Nawawi Purworejo
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HUBUNGAN DERAJAT KEPARAHAN AUTISM SPECTRUM DISORDER DENGAN INDEKS PRESTASI AKADEMIK SISWA SLB NEGERI 2 BULELENG TAHUN AJARAN 2023-2024 Wiranjaya, I Wayan Satryadi; Pasek, Made Suadnyani; Wibowo, Adi; Airawata, Chintya Puteri
PREPOTIF : JURNAL KESEHATAN MASYARAKAT Vol. 8 No. 3 (2024): DESEMBER 2024
Publisher : Universitas Pahlawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/prepotif.v8i3.36679

Abstract

Prevalensi Autism Spectrum Disorder (ASD) terus meningkat secara global. Sekitar 1 dari 68 anak terdiagnosis autisme. Penelitian ini bertujuan untuk menganalisis hubungan antara derajat keparahan Autism Spectrum Disorder (ASD) dengan indeks prestasi akademik siswa di SLB Negeri 2 Buleleng pada tahun ajaran 2023-2024. Penelitian ini menggunakan metode penelitian kuantitatif, penelitian ini melibatkan sejumlah siswa dengan ASD, di mana data mengenai tingkat keparahan ASD dan indeks prestasi akademik dikumpulkan dan dianalisis. Adapun jumlah sampel yang diteliti sebanyak 26 sampel. Hasil penelitian menunjukkan bahwa mayoritas siswa memiliki tingkat keparahan ASD yang tergolong berat (46,15%). Rerata indeks prestasi akademik siswa mencapai 73,90 ± 2,50, yang termasuk dalam kategori "baik." Analisis korelasi menunjukkan adanya hubungan yang signifikan antara derajat keparahan ASD dengan indeks prestasi akademik, dengan arah hubungan negatif dan kekuatan hubungan lemah (r = -0,413). Hal ini menunjukkan bahwa semakin tinggi derajat keparahan ASD, semakin rendah indeks prestasi akademik siswa.
Evaluasi Usability pada Aplikasi Sistem Pencatatan Pegawai Menggunakan Metode Usability Testing dan USE Questionnaire Putro, Abraham Timotius Asmoro; Wibowo, Adi; Sutikno, Sutikno
Jurnal Masyarakat Informatika Vol 15, No 2 (2024): November 2024
Publisher : Department of Informatics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jmasif.15.2.67263

Abstract

Dalam era digitalisasi yang semakin berkembang pesat, aplikasi sistem pencatatan pegawai menjadi sebuah kebutuhan yang tak terhindarkan bagi perusahaan untuk efisiensi dan efektifitas pengelolaan sumber daya manusia. Dalam konteks ini, usability atau kegunaan aplikasi sistem manajemen pegawai menjadi faktor krusial dalam memastikan pengguna dapat dengan lancar dan efisien memanfaatkan sistem yang disediakan. Usability merupakan aspek penting dalam perancangan aplikasi yang sering kali diabaikan. Keberhasilan sebuah aplikasi tidak hanya ditentukan oleh fitur dan fungsionalitasnya, namun juga oleh kemudahan penggunaan dan kepuasan pengguna dalam mengoperasikannya. Oleh karena itu, evaluasi usability menjadi suatu langkah yang sangat diperlukan untuk memastikan bahwa aplikasi yang dikembangkan memenuhi kebutuhan pengguna secara optimal. Metode usability testing dan penggunaan kuesioner (questionnaire) merupakan pendekatan yang umum digunakan dalam mengevaluasi usability sebuah aplikasi , sehingga dengan melakukan pengujian langsung terhadap pengguna, kita dapat mengidentifikasi masalah-masalah yang mungkin timbul selama penggunaan aplikasi serta mendapatkan masukan langsung dari pengguna. Sementara itu, kuesioner memberikan pandangan yang lebih luas mengenai kepuasan dan persepsi pengguna terhadap aplikasi yang digunakan. Dalam konteks aplikasi sistem pencatatan pegawai CV. Cupang Semarangan, penelitian ini bertujuan untuk melakukan evaluasi terhadap usability aplikasi tersebut menggunakan metode usability testing dan kuesioner. Pada penelitian ini menghasilkan nilai usability pada aspek effectiveness, efficiency, ease of use, ease of learning, dan satisfaction berturut-turut adalah 87,96%, 77,47%, 64,88%, 71,43%, dan 68,57%
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

Co-Authors Adiputera, Yusuf Fahmi 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 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