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All Journal JUITA : Jurnal Informatika Dinamika Journal : Pengabdian Masyarakat Jurnal Teknik Informatika (JUTIF) Jurnal Pengabdian Masyarakat Indonesia Journal of Computing Theories and Applications
Hidayat, Nurul
Fakultas Sains Dan Teknik, Universitas Jenderal Soedirman Purwokerto
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Environmental Science Languange, Linguistic, Communication & Media Public Health Social Sciences Other

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PENINGKATAN KUALITAS PENGELOLAAN DAN PRODUKTIVITAS UKM PADA KELOMPOK PEMBATIK DESA PLANA DAN SOKAWERA KECAMATAN SOMAGEDE KABUPATEN BANYUMAS Aldila Krisnaresanti; Nurul Hidayat; Viviana Mayasari; Sri Lestari
Dinamika Journal : Pengabdian Masyarakat Vol 1, No 1 (2019)
Publisher : Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.dj.2019.1.1.600

Abstract

The target audience of the IbM PPM batik is batik artisans belonging to Group Batik Sekar Geang which 11 members and Group Batik Capit Urang which had 15 members. The emergence of this group is driven by huge demand for batik products in District Somagede and in Banyumas generally unserved as many as 6457 people from school children, teachers and officials in the District Somagede environment. The high school student, a teacher, an employee in the District Somagede in particular and Banyumas generally required to wear batik clothes 2-3 days a week. The size of the potential market is still coupled with the program to realize the integrated tourism in the District Somagede thus requiring a superior product to be used as a souvenir. The main problem is the absence of partners the division of tasks within the group. All members of the group working on production activities, there is no division of labor within the group, no member whose job is to market their products, partners do not perform registration activities group administration in an orderly manner, there has been no attempt of a group to promote their products to the public, are not familiar with marketing on -line for batik products, lack of capital and production equipment to run its business, does not have the skills and equipment to produce batik printing highly prospective for serving uniform school children, teachers and staff in the District Somagede, Design batik motif both partners is still limited and yet varied, packaging and label design is still very modest, small business management capabilities are limited and not yet standardized bookkeeping.Target activities IbM are increased capability partner in the management and administration of the group, the results of administrating the group's activities, a system of division of labor, an increase in sales, marketing services on-line, the design of new batik, batik printing, packaging and labeling of products with attractive design, report financial groups, and scientific journals. To achieve the objectives and outcomes, activities such as counseling, practice, support. The evaluation method by comparing the level of knowledge and ability as well as the performance of the production and marketing partners before and after the activities IbM.
Naïve Bayes for Detecting Student’s Learning Style Using Felder-Silverman Index Nurul Hidayat; Lasmedi Afuan
JUITA : Jurnal Informatika JUITA Vol. 9 No. 2, November 2021
Publisher : Department of Informatics Engineering, Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1262.306 KB) | DOI: 10.30595/juita.v9i2.10191

Abstract

This paper focuses on detecting student learning styles using the Felder-Silverman Index Learning Style (FSLM). Providing Adaptivity based on learning styles can support students and make the learning process easier for them. However, the student learning styles need to be identified and understood to provide the appropriate adaptability. In this case, we use a questionnaire instrument to detect student’s learning styles. This paper analyses of students from Professional Education Teacher (PPG) at the Ministry of Research, Technology, and Higher Education (Kemenristek DIKTI).   The results show that 1998 students who filled out the questionnaire obtained the following conclusions for each zone with a balanced learning style about 29.9% for dimension processing, 34.78% for input dimension, and 36.98% for understanding dimension. However, most students have a moderate sensing learning style with 31.13% for each zone for the dimension of perception. This research contributes to some areas, such as providing FSLSM learning style with a large dataset and capturing students' learning styles based on four dimensions.
Sosialisasi Learning Management Systems (LMS) Untuk Mendukung Pelaksanaan Pembelajaran Daring Pada Sekolah Menengah Kejuruan Negeri (SMKN) 2 Purwokerto Nurul Hidayat; Lasmedi Afuan; Nur Chasanah
Jurnal Pengabdian Masyarakat Indonesia Vol 1 No 6 (2021): JPMI - Desember 2021
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpmi.53

Abstract

Di masa pandemi Covid-19, Menteri Pendidikan dan Kebudayaan mengeluarkan surat edaran no 4 tahun 2020 tentang pelaksanaan kebijakan pendidikan dalam masa darurat penyebaran Covid-19. Poin no 2 pada surat edaran tersebut berisi mengenai pelaksanaan belajar dari rumah melalui pembelajaran daring. Guru dan siswa diminta untuk melaksakan proses belajar mengajar melalui pembelajaran daring/jarak jauh. Proses pembelajaran dilaksanakan secara online sychronous atau online asynchronous. Untuk sychronous dapat dilaksanakan menggunakan berbagai platform online seperti Google Meet, Zoom, Microsoft Teams dan platform lainnya. Sedangkan, asyncronous dapat dilaksanakan dengan memanfaatkan platform seperti google classroom, schoology, moodle, dan berbagai learning management system lainnya. Sekolah Menengah Kejuruan Negeri (SMKN) 2 Purwokerto termasuk sekolah yang memanfaatkan media online synchronus Microsoft Teams agar proses pembelajaran tetap dapat berlangsung. Penggunaan platform online sangat membantu dalam pembelajaran daring, akan tetapi tetap harus didukung dengan penggunaan media pembelajaran online asynchronous. Salah satunya adalah Learning Mangement System (LMS). Pada kegiatan ini dilakukan sosialisasi penggunaan LMS, dilaksanakan sosialisasi LMS Moodle kepada guru SMKN 2 Purwokerto. Metode pelaksanaan yang digunakan adalah ceramah, praktik, dan diskusi. Hasil dari kegiatan ini, guru SMKN 2 Purwokerto memiliki pengetahuan tentang LMS, dan mampu menggunakan LMS untuk kegiatan pembelajaran secara asynchronous.
COMPARISON BEST VIDEO CONFERENCE FOR LEARNING AND TEACHING ACTIVITIES USING ANALYTIC HIERARHICAL PROCESS Januponsa Dio Firizqi; Saiful Azhari Muhammad; Richardus Eko Indrajit; Nurul Hidayat; Erick Dazki
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 1 (2022): JUTIF Volume 3, Number 1, February 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.1.138

Abstract

During the pandemic, almost all industries have been disrupted, including the education industry. To support the sustainability of the education industry, many institutions use various video conferencing platforms. There are six aspects that need to be considered in choosing a video conference platform: Features provided, Ease of use, security level, bandwidth usage, platform stability and the ability to accommodate the number of participants in a conference room. This study shows how to prioritize these aspects in choosing a video conferencing platform carried out by educational institutions in Indonesia. The method used in this research is the Analytical Hierarchical Process (AHP). And the results of this study show the order of aspects in choosing a video conferencing platform for teaching and learning needs.
WEBSITE BASED EMPLOYEE ACCEPTANCE INFORMATION SYSTEM AT PT NOTO TEKNOLOGI INDONESIA lasmedi afuan; Nurul Hidayat; Bangun Wijayanto; Indah Cahya Febriani
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 5 (2022): JUTIF Volume 3, Number 5, October 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.5.524

Abstract

The development of information technology is currently growing very rapidly, many companies want to improve their work processes by using information systems to process company data more quickly and efficiently. The process of accepting prospective employees at PT Noto Teknologi Indonesia is still done manually, i.e. prospective employees must register and deliver job application files to the office. To find out the results of the selection of employee recruitment, prospective employees still get information via WhatsApp. This makes the acceptance of new employee candidates less effective and efficient because it will take a lot of time and the possibility of data errors. So in this study a website based recruitment information system was created to facilitate the process of accepting new employees. The method used in making this system is the waterfall method where this method has 5 stages, namely user needs analysis, system design, implementation, testing and maintenance by PT Noto Teknologi Indonesia. The results of the black-box test show valid results for all features which indicate that this system is as expected. From the results of black-box testing, it can be concluded that this system is feasible to use as a tool to facilitate the process of accepting new employees at PT Noto Teknologi Indonesia.
Prescriptive Learning Analytics for Student Dropout: Integrating Temporal Velocity and Counterfactual Explanations in Longitudinal Data Nurul Hidayat; Lasmedi Afuan; Helmi Roichatul Jannah
Journal of Computing Theories and Applications Vol. 3 No. 4 (2026): JCTA 3(4) 2026
Publisher : Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/jcta.15920

Abstract

Student dropout in higher education remains a persistent socioeconomic challenge, yet many predictive models reported in the literature are methodologically compromised by randomized cross-validation schemes that introduce temporal data leakage and artificially inflate predictive performance. This study proposes a longitudinal prescriptive learning analytics framework integrating three complementary methodological components: a Leave-One-Cohort-Out (LOCO) temporal validation protocol, a hybrid SMOTE-ENN class balancing strategy, and temporal velocity feature engineering derived from Learning Management System (LMS) behavioral trajectories. The framework was evaluated on a longitudinal dataset comprising 464,739 enrollment records and 77 features. Five predictive algorithms—XGBoost, LightGBM, CatBoost, Random Forest, and Logistic Regression—were comparatively assessed on a strictly isolated blind holdout cohort (2022), with CatBoost emerging as the champion estimator, achieving a PR-AUC of 0.8859, a Macro F1-Score of 0.9143, and the lowest Brier Score (0.0221), thereby demonstrating superior calibration and discriminative capability under severe class imbalance (93:7 ratio). Comprehensive ablation analysis revealed that temporal velocity features function not merely as additive predictors, but as a structural prerequisite enabling Synthetic Minority Oversampling Technique with Edited Nearest Neighbors (SMOTE-ENN) to generate high-quality synthetic boundary instances; removing these features reduced minority-class precision from 0.8302 to 0.6721. To operationalize predictive outputs into actionable intervention pathways, Diverse Counterfactual Explanations (DiCE) were implemented under a three-tier causal constraint architecture on 96 borderline high-risk students, generating 384 feasible intervention scenarios exclusively targeting forward-looking behavioral velocity metrics without constraint violations. Collectively, these findings advance the paradigm of prescriptive learning analytics by providing educational institutions with interpretable risk diagnostics and operationally feasible intervention guidance grounded in empirically validated behavioral and temporal dynamics.
Co-Authors Aldila Krisnaresanti, Aldila Bangun Wijayanto Dazki, Erick Helmi Roichatul Jannah Indah Cahya Febriani Januponsa Dio Firizqi Lasmedi Afuan Mayasari, Viviana Nur Chasanah Richardus Eko Indrajit Saiful Azhari Muhammad Sri Lestari