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All Journal Jurnal Nasional Komputasi dan Teknologi Informasi Bulletin of Computer Science Research Bulletin of Information Technology (BIT) Jurnal Ilmu Sosial dan Humaniora Jurnal Pengabdian Masyarakat Bidang Sosial dan Humaniora Digital Transformation Technology (Digitech) Jurnal Pengabdian Kreativitas Pendidikan Mahakam (JPKPM) BEduManageRs Journal : Borneo Educational Management and Research Journal Research in Education, Technology, and Multiculture
Aisyah Fajriantini
STMIK Widya Cipta Dharma
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Neuroscience Nursing Social Sciences Transportation Other

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EFFECTIVENESS OF DIGITAL APPLICATION “QUIZIZZ” FOR STUDENTS’ LEARNING EVALUATION AT STMIK WIDYA CIPTA DHARMA SAMARINDA Fajriantini, Aisyah; Ulfah Nurfadhila; Renni Mayasari
BEduManagers Journal : Borneo Educational Management and Research Journal Vol. 5 No. 2 (2024): BEduManagers Journal : Borneo Educational Management and Research Journal
Publisher : Manajemen Pendidikan Program Doktor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/bedu.v5i2.4669

Abstract

This study focused on determining the effectiveness of Quizizz as digital application for evaluating students’ learning at STMIK Widya Cipta Dharma in the Informatics Engineering study program in the first semester of the 2024/2025. The research method used is descriptive quantitative. The sample in this study were 47 first semester students of Informatics Engineering study program. Data collection methods used descriptive observation and online questionnaire distribution in the form of GoogleForm. The results of this research show an increase in effectiveness when using the Quizizz digital application compared to the conventional system with the average score results of all students above 142% “strongly agree”. The challenges in using the Quizizz digital application are based on unstable internet connection and students’ readiness in preparing their fully-charged cellphones during the learning process until the learning evaluation session ended
BIMBINGAN PEMBUATAN LULUR (BEDDA’LOTONG) DAN TELUR ASIN PADA SISWA PKBM PESUT MAHAKAM TAHUN 2025 Mayasari, Renni; Fajriantini, Aisyah; Nurfadhila, Ulfah; Madani, Muhammad Nur; Afdal, Afdal; Adine, Nayla Najwa; Putri, Alya Cantika; Nugroho, Tri Cahyo
Jurnal Pengabdian Kreativitas Pendidikan Mahakam (JPKPM) Vol. 5 No. 1 (2025): Juni
Publisher : Fakultas Keguruan dan Ilmu Pendidikan Universitas Widya Gama Mahakam Samarinda

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Abstract

Pengabdian ini bertujuan untuk memberikan bimbingan pengolahan bahan mentah, yakni beras dan telur, menjadi produk olahan dengan hasil berupa lulur bedda lotong dan telur asin di Samarinda. Metode yang digunakan ialah dengan memberikan sosialisasi dan penyuluhan terkait proses pembuatan lulur bedda’ lotong dan telur asin kemudian dilanjutkan dengan pelatihan dan pendampingan langsung dalam proses pembuatan bedda’ lotong dan telur asin dari awal hingga akhir. Kegiatan ini diikuti oleh 30 siswa/i dari PKBM Pesut Mahakam. Hasil dari pelaksanaan kegiatan ini menunjukkan bahwa pelatihan ini mampu menambah wawasan dan keterampilan peserta terkait cara pengolahan bahan alami menjadi produk lokal yang lebih awet, dimulai dari proses penyiapan bahan hingga pembuatan produk hingga menjadi produk siap pakai dan siap konsumsi. Produk ini diharapkan nantinya dapat digunakan sendiri ataupun dijadikan ide usaha yang cukup menjanjikan.
Penerapan Algoritma Linear on The Fly Testing (LOFT) untuk Tes TOEFL-Like Robby Jaya Hutama; Eka Arriyanti; Aisyah Fajriantini
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 8, No 3 (2025): Juni 2025
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v8i3.9193

Abstract

Abstrak - Penelitian ini bertujuan untuk mengembangkan sistem TOEFL-Like berbasis algoritma Linear on the Fly Testing (LOFT) dengan pendekatan System Development Life Cycle (SDLC). Sistem TOEFL-Like merupakan simulasi tes bahasa Inggris yang dirancang menyerupai TOEFL resmi namun bersifat non-adaptif dan digunakan untuk kebutuhan pelatihan atau evaluasi internal. Penerapan algoritma LOFT dalam sistem ini bertujuan untuk menghasilkan soal yang disusun secara dinamis dan real-time dari bank soal yang telah dikalibrasi, sehingga setiap peserta menerima set soal unik namun memiliki tingkat kesetaraan statistik yang tinggi. Proses pengembangan sistem mencakup tahapan analisis kebutuhan, perancangan sistem, implementasi, pengujian, dan pemeliharaan. Hasil implementasi menunjukkan bahwa sistem mampu menyajikan soal yang bervariasi, menjaga konsistensi tingkat kesulitan, serta meningkatkan keamanan dan efisiensi ujian. Sistem ini menyediakan fitur penilaian otomatis, pengacakan soal berdasarkan tingkat kesulitan, dan pelaporan skor secara langsung, menjadikannya solusi efektif untuk pelatihan TOEFL-Like dalam skala besar.Kata kunci: TOEFL-Like; Linear on the Fly Testing; LOFT; Computer-Based Test; SDLC; sistem ujian digital; simulasi TOEFL; bank soal terkalibrasi. Abstract - This research aims to develop a TOEFL-Like system based on Linear on the Fly Testing (LOFT) algorithm with System Development Life Cycle (SDLC) approach. The TOEFL-Like system is an English language test simulation designed to resemble the official TOEFL but is non-adaptive and is used for training needs or internal evaluation. The application of the LOFT algorithm in this system aims to produce questions that are compiled dynamically and in real-time from a calibrated question bank, so that each participant receives a unique set of questions but has a high level of statistical equivalence. The system development process includes the stages of requirements analysis, system design, implementation, testing, and maintenance. The implementation results show that the system is able to present a variety of questions, maintain consistency in difficulty levels, and improve exam security and efficiency. The system provides automated scoring features, question randomization based on difficulty level, and live score reporting, making it an effective solution for large-scale TOEFL-Like training.Keywords: TOEFL-Like; Linear on the Fly Testing; LOFT; Computer-Based Test; SDLC; digital exam system; TOEFL simulation; calibrated question bank.
From Screen to Speech: Utilizing Movie for Creative Story Completion in EFL Class Fajriantini, Aisyah
BEduManagers Journal : Borneo Educational Management and Research Journal Vol. 6 No. 2 (2025): BEduManagers Journal : Borneo Educational Management and Research Journal
Publisher : Manajemen Pendidikan Program Doktor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/bedu.v6i2.6229

Abstract

This qualitative case study explores the integration of movie clips with the story completion technique for teaching EFL speaking skills. Focusing on one lecturer’s experience at a private university in East Java, data from a semi-structured interview were analyzed thematically. Findings indicate that this integrated approach effectively boosts student motivation, engagement, and creative thinking during speaking activities. It provides authentic language exposure and fosters narrative fluency. While technical issues with audio-visual equipment pose a challenge, the strategy is deemed highly beneficial. The study concludes that combining movies with story completion is a valuable pedagogical tool for enhancing oral proficiency, recommending careful content selection and technical preparedness.
A Learning Culture of Generation Z in Arabic and English Language Education in the Era of Digital Disruption nurfadhila, ulfah; Aisyah Fajriantini; Renni Mayasari
BEduManagers Journal : Borneo Educational Management and Research Journal Vol. 6 No. 2 (2025): BEduManagers Journal : Borneo Educational Management and Research Journal
Publisher : Manajemen Pendidikan Program Doktor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/bedu.v6i2.6299

Abstract

This study aims to describe the learning culture of Generation Z in Arabic and English language education in the era of digital disruption. This qualitative literature study employs a descriptive-analytical approach by examining relevant books and scientific publications from the last decade to identify the characteristics, learning behaviours, and technological influences shaping this generation. The research objects are studies discussing Generation Z and their learning culture in language education, while data were collected through documentation techniques and analysed using content analysis. The findings show that Generation Z demonstrates a fast, visual, interactive, and technology-based learning orientation, supported by digital platforms, multimedia resources, and gamified learning environments. Their learning culture reflects autonomy, collaboration, and global connectivity, yet it is also challenged by digital distraction, low critical digital literacy, and unequal digital resource availability—particularly in Arabic language learning. English learning benefits from abundant digital materials, while Arabic learning remains limited in academic digital content. The study concludes that effective language education for Generation Z requires blended learning, gamification, critical digital literacy reinforcement, and the active role of lecturers as facilitators who guide students to use technology productively. These results imply the need for curriculum redesign, pedagogical innovation, and improved digital infrastructure to support adaptive and future-oriented language learning.
Implementasi Algoritma C4.5 Untuk Klasifikasi Pengenalan Warna Dasar di Taman Kanak-Kanak Anandaya Difi Dzulardi Kalimanti; Vilianty Rafida; Aisyah Fajriantini
Bulletin of Computer Science Research Vol. 6 No. 4 (2026): June 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bulletincsr.v6i4.1102

Abstract

Differences in early childhood ability to recognize basic colors at TK Negeri 01 Barong Tongkok indicate the need for a structured evaluation system to ensure objective assessment. The classification of these abilities is carried out by applying the C4.5 algorithm within a quantitative experimental framework. Data are collected through observations and color recognition tests involving 35 children as respondents, then processed using predefined attributes to construct a classification model. The analysis results group children’s abilities into three categories: Sangat Mengenal (High), Mengenal (Moderate), and Cukup Mengenal (Low). The experimental results indicate that the C4.5 algorithm is highly effective and stable, achieving an average classification accuracy of 85.71% through 5-Fold Cross-Validation. Furthermore, the resulting decision tree provides an intuitive and transparent structure that assists educators in interpreting evaluation outcomes and understanding the dominant variables that determine student learning success more clearly than black-box models. The primary contribution of this study lies in the provision of a data-driven evaluation model that generates empirically measurable decision rules (if-then rules), while simultaneously serving as a methodological bridge to create differentiated learning strategies at the early childhood education (PAUD) level. Consequently, the implementation of the C4.5 algorithm represents a strategic, efficient, and scientifically accountable alternative for enhancing pedagogical effectiveness and cognitive monitoring in early childhood education.
Perceived Ease of Use and Repurchase Intention: The Role of Customer Satisfaction in Mobile Banking Muhamad Amir Ariandi; Renni Mayasari; Yunita Yunita; Aisyah Fajriantini; Rizky Zakariyya Rasyad
SOSMANIORA: Jurnal Ilmu Sosial dan Humaniora Vol. 5 No. 2 (2026): Juni 2026
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/sosmaniora.v5i2.7939

Abstract

This study investigates the relationship between perceived ease of use and repurchase intention by considering customer satisfaction as a mediating variable among Livin’ by Mandiri users in Samarinda. The increasing adoption of digital banking has created intense competition, making it essential for banks to improve user experience in order to maintain customer loyalty. A quantitative research approach was applied using a survey method. Data were obtained from 100 respondents through an online questionnaire and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS. The findings reveal that perceived ease of use does not directly influence repurchase intention. However, it has a significant positive impact on customer satisfaction, which subsequently affects repurchase intention. In addition, customer satisfaction functions as a full mediator in the relationship between perceived ease of use and repurchase intention. These results indicate that ease of use alone is insufficient to encourage continued usage unless it contributes to a satisfying user experience. Therefore, banks should prioritize enhancing overall user satisfaction alongside system usability to improve customer retention in digital banking services.
Digitalisasi Pencatatan Keuangan melalui Pendampingan Aplikasi Money Tracker pada Toko Hawaii Aisyah Fajriantini; Muhamad Amir Ariandi; Ulfah Nurfadhila; Vilianty Rafida
ABDISOSHUM: Jurnal Pengabdian Masyarakat Bidang Sosial dan Humaniora Vol. 5 No. 2 (2026): Juni 2026
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/abdisoshum.v5i2.8267

Abstract

This community service activity aims to improve financial literacy and the independence of the manager of Toko Hawaii Alat Jahit Samarinda in conducting digital business financial recording. The main problems faced by the partner include irregular and unstructured recording of income and expenses, as well as the potential mixing of personal and business finances. The activity was carried out using a participatory training approach through initial observation, interviews, financial management education, mentoring in the use of Money Tracker, transaction recording practice, and evaluation of the partner’s ability. Changes were measured using a structured observation sheet with indicators covering understanding of financial recording, income recording, expense recording, transaction categorization, separation of personal and business finances, and the ability to read financial summaries. The results show that the partner began to understand the importance of transaction recording as a basis for business control, started to develop the habit of recording income and expenses, and became more aware of the importance of separating business and personal finances. This activity indicates that MSME financial digitalization requires not only an application but also personal mentoring that can align technology with the partner’s habits and needs.
Clustering Status Gizi Menggunakan Algoritma K-Means Dengan Pendekatan CRISP-DM Delia Wulan Rahmadhani; Amelia Yusnita; Aisyah Fajriantini
Bulletin of Information Technology (BIT) Vol 7 No 2 (2026)
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v7i2.2668

Abstract

The nutritional status of toddlers is a key indicator for assessing public health levels. Nutritional problems such as undernutrition remain common and require effective analysis to identify data patterns quickly and accurately. This study aims to cluster the nutritional status of toddlers in the Bukuan Community Health Center (Puskesmas) Posyandu area using the K-Means algorithm with the CRISP-DM approach. The main challenge in this study is that the processing of nutritional status data is still done manually, making it less effective in quickly and accurately identifying patterns and risk groups. The dataset consists of 2,145 records of toddlers from 12 Posyandu, with primary attributes including weight, height, age, and gender. The research process was conducted through the CRISP-DM stages, which include business understanding, data understanding, data preparation, modeling, and evaluation, without deployment implementation since the study focused on data analysis. The clustering process was performed using the K-Means algorithm, with the optimal number of clusters determined via the Elbow method, resulting in three clusters. Model evaluation using the Silhouette Score yielded a value of 0.629, indicating that the clustering quality falls into the “good” category. The results show that data on toddlers can be grouped into three nutritional status categories: under-nutrition, adequate nutrition (normal), and over-nutrition, based on centroid values. The data distribution indicates that the adequate nutrition category dominates, though there remains a significant number of cases in the under-nutrition category. Thus, the application of the K-Means algorithm provides more structured and accurate information for identifying the nutritional status of toddlers and can serve as a basis for data-driven decision-making in public health programs.
Performance Analysis of the CP-SAT Algorithm for Practicum Scheduling Optimization Using Google OR-Tools Novandra Satria Winata; Heny Pratiwi; Aisyah Fajriantini
Research in Education, Technology, and Multiculture Vol 5, No 3 (2026): Research in Education, Technology, and Multiculture
Publisher : Institute of Multidisciplinary Research and Community Service

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61436/rietm/v5i3.pp172-188

Abstract

Laboratory practicum scheduling at higher education institutions involving multiple study programs, limited laboratory facilities, and complex theory class constraints constitutes a combinatorial optimization problem classified as NP-Hard. Previous studies on academic scheduling have applied various meta-heuristic and exact methods; however, few have simultaneously integrated laboratory specialization rules, multi-credit session contiguity, and theory schedule blocking within a single optimization framework. This study designs and implements an automated practicum scheduling system based on the Constraint Programming with Boolean Satisfiability (CP-SAT) method using Google OR-Tools to address the scheduling challenges at STMIK Widya Cipta Dharma. A quantitative optimization approach was employed, encompassing six systematic stages: data collection, requirements analysis, Set Theory-based data preprocessing, CP-SAT mathematical model formulation with five hard constraints and a hierarchical penalty objective function, algorithm execution, and five-aspect verification testing. The dataset comprises 22 practicum courses, 63 groups, 1,327 students, 5 laboratories, and 129 theory schedule blocking entries. The computational environment utilized an AMD Ryzen 7 8845HS processor (16 logical cores, 16 GB RAM) running Python 3.14.3 with OR-Tools 9.15.6755 on Windows 11. The CP-SAT solver processed 17,010 Boolean decision variables and achieved OPTIMAL status in 1.65 seconds, producing 102 conflict-free sessions with 100% compliance across all hard constraints and effective suppression of Saturday scheduling (Z=2.0). Resilience testing across three realistic scenarios confirmed consistent OPTIMAL status. Scalability stress testing from 129 to 329 theory blocks (26.9%–68.5% saturation) demonstrated graceful performance degradation, with the solver maintaining OPTIMAL status throughout, though objective values increased from Z=2.0 to Z=52.0 at highest saturation. Post-optimization field audit revealed that discrepancies between computed and actual schedules stem from uncoordinated student-initiated group swaps rather than algorithmic errors, highlighting the need for institutional swap-management protocols to preserve schedule optimality. Keywords: Constraint programming, CP-SAT, Laboratory scheduling, Google OR-Tools, Timetabling.
Co-Authors Adine, Nayla Najwa Afdal Afdal, Afdal Amelia Yusnita Anandaya Difi Dzulardi Kalimanti Arriyanti, Eka Daud, Jundro Delia Wulan Rahmadhani Elyza Julio Koho Heny Pratiwi Madani, Muhammad Nur Muhamad Amir Ariandi Novandra Satria Winata Putri, Alya Cantika Renni Mayasari Renni Mayasari Renni Mayasari Rizky Zakariyya Rasyad Robby Jaya Hutama Tri Cahyo Nugroho Ulfah Nurfadhila Vilianty Rafida Yunita Yunita