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All Journal Jurnal Matematika EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis Communicatus: Jurnal Ilmu Komunikasi BAREKENG: Jurnal Ilmu Matematika dan Terapan Paedagoria : Jurnal Kajian, Penelitian dan Pengembangan Kependidikan Andragogi: Jurnal Diklat Teknis Pendidikan dan Keagamaan EDUKATIF : JURNAL ILMU PENDIDIKAN Indonesian Journal of Electrical Engineering and Computer Science G-Tech : Jurnal Teknologi Terapan Majalah Ilmiah Matematika dan Statistika (MIMS) Jurnal Riset Pembelajaran Matematika Sekolah Jurnal Statistika dan Aplikasinya Jurnal Pendidikan Annals of Mathematical Modeling Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Wawasan: Jurnal Kediklatan Balai Diklat Keagamaan Jakarta Jurnal Pengabdian Kepada Masyarakat Jurnal Pengabdian Kepada Masyarakat Patikala As-Sidanah : Jurnal Pengabdian Masyarakat Indonesian Community Journal AKADEMIK: Jurnal Mahasiswa Ekonomi & Bisnis Jurnal Natural
Selly Anastassia Amellia Kharis
Mathematics Department, Faculty Of Science And Technology, Universitas Terbuka, Indonesia
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EXPLORATION OF THE DIGITAL LITERACY LEVEL OF NEW STUDENTS IN OPEN AND DISTANCE LEARNING Kharis, Selly Anastassia Amellia; Arisanty, Melisa; Permatasari, Sri Maulidia; Robiansyah, Anton; Sukatmi, Sri
Paedagoria : Jurnal Kajian, Penelitian dan Pengembangan Kependidikan Vol 16, No 2 (2025): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/paedagoria.v16i2.29725

Abstract

Abstrak: Pembelajaran terbuka dan jarak jauh (PTJJ) semakin diminati oleh masyarakat Indonesia, sebagaimana ditunjukkan dari peningkatan jumlah mahasiswa pada perguruan tinggi terbuka dan jarak jauh dari tahun ke tahun. Salah satu aspek dalam PTJJ adalah penggunaan teknologi yang disebabkan tidak adanya batas ruang dan waktu dalam pembelajarannya. Mahasiswa baru yang memiliki perbedaan cara belajar dari tatap muka menjadi pembelajaran jarak jauh (online learning) memerlukan adaptasi dalam proses belajarnya. Apalagi PTJJ tidak membatasi usia pada mahasiswanya sehingga memerlukan analisis kebutuhan pelatihan dan program pembelajaran. Penelitian ini bertujuan untuk mengeksplorasi tingkat literasi digital mahasiswa baru dalam PTJJ. Berdasarkan penelitian terhadap 10.396 mahasiswa baru menunjukkan bahwa kemampuan literasi digital beragam. Skor literasi digital pada digital skill sebesar 68,22 yang termasuk klasifikasi tinggi. Skor literasi digital pada digital ethics sebesar 95,25 yang termasuk klasifikasi sangat tinggi. Skor literasi digital untuk digital safety sebesar 57,46 yang berada pada klasifikasi cukup. Skor untuk digital culture adalah 84,94 yang berada dalam klasifikasi sangat tinggi. Hasil ini menunjukkan bahwa digital skill, digital culture dan digital ethics mahasiswa baru sudah baik namun perlu adanya peningkatan pada digital safety. Oleh karena itu, diperlukan penguatan literasi digital yang berfokus pada peningkatan kesadaran akan keamanan digital guna mendukung efektivitas PTJJ.Abstract:  Open and Distance Learning (ODL) has gained increasing popularity in Indonesia, as evidenced by the growing number of students enrolling in open and distance universities each year. Technology integration is a key aspect of ODL, enabling learning without spatial and temporal limitations. New students transitioning from face-to-face learning to distance learning (online learning) require adaptation in their learning process. ODL does not impose age restrictions on its students, necessitating an analysis of training needs and learning programs to support their academic success. This study aims to explore the level of digital literacy among new students in ODL. Based on an analysis of 10,396 new students, the findings indicate diverse levels of digital literacy. The digital skill score was 68.22, classified as high. The digital ethics score reached 95.25, categorized as very high. Meanwhile, digital safety obtained a score 57.46, categorized as moderate, and digital culture achieved a score of 84.94, classified as very high. These results suggest that while new students demonstrate strong digital skills, digital culture, and digital ethics, there remains a need for improvement in digital safery. Therefore, strengthening digital literacy with a focus on increasing awareness of digital safety is essential to enhance the effectiveness of ODL.
Membangun Generasi Bijak, Cerdas, Santun pada Era Digitalisasi melalui Edukasi Etika Digital bagi Remaja Sekolah Menengah Pertama Melisa Arisanty; Yasir Riady; Selly Anastassia Amellia Kharis; Anton Robiansyah; Sri Sukatmi
PaKMas: Jurnal Pengabdian Kepada Masyarakat Vol 4 No 2 (2024): November 2024
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/pakmas.v4i2.3372

Abstract

The issue of digital ethics is a major problem that needs to be resolved. The challenge of implementing digital ethics amidst increasingly rapid technological developments is the main focus in various digital education and literacy activities. Digital Education and Literacy are the main keys to handling problems related to digital ethics, such as the spread of hoaxes, cyberbullying, Hatescpeech and Hatecomment, war flaming, fraud, SARA violations, distribution of content containing violence and pornography and so on. Therefore, community service activities regarding digital ethics education for junior high school teenagers at SMP PGRI 1 Ciputat can have the opportunity to increase teenagers' awareness of implementing digital ethics when utilizing various digital media platforms. The focus of this community service activity is teenagers, especially junior high school (SMP) teenagers, because it is considered the initial phase in the formation of identity and self. The formation of behavior as an adult also depends on what kind of moral education was given as a teenager. Based on the evaluation, this educational activity about digital ethics is very useful and able to increase awareness among teenagers, especially at SMP PGRI 1 Ciputat, about the importance of applying digital ethics in their daily activities when accessing digital media.
CERDAS DAN AMAN BERMEDIA DIGITAL : PENINGKATAN KESADARAN KEAMANAN SIBER DI ERA HOAKS DAN PHISHING Arisanty, Melisa; Riady, Yasir; Anastassia Amellia Kharis, Selly; Maulidia Permatasari, Sri; Sukatmi, Sri
Jurnal Pengabdian Kepada Masyarakat Patikala Vol. 4 No. 4 (2025): ABDIMAS PATIKALA
Publisher : Education and Talent Development Center of Indonesia (ETDC Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51574/patikala.v4i4.3282

Abstract

Digital safety has emerged as a critical issue that demands serious attention, particularly among younger generations. Amidst the rapid advancement of technology, adolescents' ability to safeguard their personal digital security and avoid risks such as hoaxes, phishing, cyberbullying, the spread of harmful content, and various forms of online fraud has become increasingly essential. Digital safety education plays a vital role in equipping them with the knowledge and skills necessary to confront these challenges intelligently and critically. A community engagement program conducted at SMP PGRI 1 Ciputat focused on delivering digital safety training to junior high school students, an age group situated in a crucial phase of identity and digital character formation. Evaluation results from this program revealed that 100% of participants comprehended the material presented and felt motivated to implement it in their daily digital practices. Participants demonstrated positive behavioral changes, including increased caution in sharing personal information, enhanced accuracy in verifying online content, and improved awareness in identifying and avoiding suspicious links or content. These changes also reflected greater vigilance in their overall use of digital platforms. These findings suggest that well-targeted digital safety training can serve as a strategic initiative to cultivate a generation of digitally responsible, resilient, and secure adolescents
Implementation of ABC and ROP Methods for Inventory Control of Mandatory Pharmacy Drugs Maulani, Nur Izani; Kharis, Selly Anastassia Amellia
G-Tech: Jurnal Teknologi Terapan Vol 9 No 2 (2025): G-Tech, Vol. 9 No. 2 April 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/gtech.v9i2.6613

Abstract

Grawira Farma Pharmacy in Kulon Progo manages Mandatory Pharmacy Drugs, which require strict regulation for self-medication. Managing the inventory of Mandatory Pharmacy Drugs is necessary to prevent shortages and stockouts. This study aims to analyze the planning and control of Mandatory Pharmacy Drugs inventory at Grawira Farma Pharmacy, using the Always Better Control (ABC) method for inventory planning, categorizing drugs into three groups. Group A consists of fast-moving drugs with 11 types (27.5%), accounting for 79.38% of total drug usage and an investment value of Rp 1,697,300.00, group B consists of moderately-selling drugs with 11 types (27.5%),  contributing 18.29% of total drug usage and an investment value of Rp 1,319,450.00, and group C consist of the slowest-selling drugs with 18 types (45%), representing 2.33% of total drug usage and an investment value of Rp 392,425.00. In addition to inventory planning, this study examines inventory control using the Reorder Point (ROP) method to determine when the reorder after grouping Mandatory Pharmacy Drugs. The research results obtained the reorder point of Mandatory Pharmacy Drugs, which include group A, ranging from 150-500 items, group B varies from 14-340 items, group C, ranging from 0-34 items.
A SIAR Model Approach to the Impact of Mudik Tradition on Covid-19 Transmission in Indonesia Idayani, Darsih; Tarigan, Asmara Iriani; Kharis, Selly Anastassia Amellia; Kurniawati, Heny
G-Tech: Jurnal Teknologi Terapan Vol 9 No 3 (2025): G-Tech, Vol. 9 No. 3 July 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v9i3.7308

Abstract

In Indonesia, on March 2, 2020, the government announced the first case of Covid-19. Preventing the COVID-19 spread in Indonesia is challenging because the people are very diverse, and not everyone has the same understanding of the transmission of COVID-19. In addition, the Indonesians has mudik tradition, going home yearly on Eid al-Fitr. This study developed an epidemic model of Covid-19 spread SIAR by adding migration factors to represent the mudik tradition. The disease-free equilibrium point, the endemic equilibrium point, and its stability were determined. Numerical simulations were done using Covid-19 transmission data to analyze the trend of symptomatic and asymptomatic infected subpopulations. The results show that the dynamic characteristics of Covid-19 cases were semi-stable in compartments S, I, and A. This condition means that S, I, and A will rise at a certain time. In a disease-free situation, the susceptible subpopulation S is stable at a certain value. At the same time, other subpopulations are stable at almost zero and at zero. The susceptible subpopulation S in a disease-free situation is larger than during an epidemic. The number of people in disease-free conditions is smaller than those in epidemic conditions. In addition, migration at a certain level can increase the spread of Covid-19.
DESIGN OF STUDENT SUCCESS PREDICTION APPLICATION IN ONLINE LEARNING USING FUZZY-KNN Kharis, Selly Anastassia Amellia; Hertono, Gatot Fatwanto; Wahyuningrum, Endang; Yumiati, Yumiati; Irawan, Sam Rizky; Danial, T Ahmad; Saputra, Dimas Septian
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 2 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss2pp0969-0978

Abstract

Effective evaluation of student performance is crucial. Hence, many kinds of techniques are used such as statistics, physical examination and currently data mining techniques to evaluate student performance. Data mining techniques as known as Educational Data Mining (EDM) collect, process, report and used to find the unseen patterns in the student dataset. EDM uses machine learning techniques to dig out useful data from multiple levels of meaningful hierarchy. Various data from intelligent computer tutors, classic computer based educational systems, online classes, academic data in educational institution, and standar assesment can be process for EDM. This led universities include open and distance learning (ODL) to collect large volume of student and learning data in their learning management systems (LMS). Students in ODL are relatively familiar with LMS and many learning activities such as number of accessing materials, student participation in discussion forum recorded in LMS. The processes of using EDM to improve the quality of educational policy maker with data-based models have become a challange that institutions of higher education face today. Therefore, this study aims to design applications that predict student performance in online learning using machine learning techniques based on EDM. The machine learning technique used in this research is Fuzzy-KNN. Testing using Fuzzy-KNN produces an accuracy of 92.5%.
N-SOFT SETS ASSOCIATION RULE AND ITS APPLICATION FOR PROMOTION STRATEGY IN DISTANCE EDUCATION Fatimah, Fatia; Kharis, Selly Anastassia Amellia; Fajar, Fauzan Ihza
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 3 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss3pp1865-1878

Abstract

In everyday life, we always encounter obstacles in seeing the interrelationships between several events to make the right decisions. Universitas Terbuka is a pioneer in distance education that implements digital transformation for new student registration, student services, and alums. The obstacle faced is determining a suitable promotion strategy for new students. As a result, a representative model is needed to handle such cases. As an extension of soft sets, N-soft sets can handle decision-making for binary and non-binary assessments. However, research has yet to be related to N-soft sets decision-making in data mining, especially association rule classification. This article proposes a new combination of N-soft sets with Association Rule (NSSAR). This article also introduces and applies the decision-making procedure using NSSAR to real. The population is new students of Universitas Terbuka Jakarta in the 2023/2024 odd semester. Samples were taken randomly using a questionnaire—primary data obtained by 201 new students. The following results are obtained based on the processed sample data using the NSSAR algorithm: 1) new students from Universitas Terbuka Jakarta are predominantly from Vocational High Schools domiciled in Bekasi, majoring in Bachelor of Management from the Faculty of Economics and Business; 2) The most favorite media information used by new UT Jakarta students is Instagram. Based on the results, the NSSAR algorithm gave relationship patterns between the number of new students based on region, study program, diploma of origin, and information media. Therefore, policymakers should consider the right promotional strategy to increase the number of students.
Unravelling the Drivers of Digital Literacy in Indonesia’s Distance Learning Era Kharis, Selly Anastassia Amellia; Septiarini, Tri Wijayanti; Zili, Arman Haqqi Anna; Arisanty, Melisa; Permatasari, Sri Maulidia
Paedagoria : Jurnal Kajian, Penelitian dan Pengembangan Kependidikan Vol 16, No 4 (2025): October
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/paedagoria.v16i4.34482

Abstract

In Indonesia’s rapidly evolving distance learning landscape, digital literacy has become a critical competency for ensuring academic quality and ethical online engagement. However, existing assessments often focus narrowly on technical skills, overlooking behavioral and ethical dimensions that are equally essential in digital environments. This study aims to identify the key factors influencing digital literacy among students in Indonesia's distance learning environment, focusing on Universitas Terbuka. Utilizing a Random Forest algorithm, the research involves data preprocessing, model development and evaluation, and feature importance analysis to determine the most influential predictors. The findings reveal that digital ethics and behavioral aspects-such as academic integrity, proper citation practices, and responsible social media conduct- are the strongest indicators of digital literacy, whereas technical proficiency in e-learning platforms plays a less dominant role. This study's novel use of Machine Learning offers a methodological contribution to the assessment of digital literacy in educational settings. Based on these insights, the paper recommends a holistic approach to digital literacy education at Universitas Terbuka, advocating for programs that integrate technical training with robust digital ethics instruction, including awareness of citation, plagiarism, communication etiquette, privacy, and responsible information dissemination.
Predicting Digital Literacy Levels in Higher Education: A LightGBM Model Integrating Feature Selection for Improved Accuracy Zili, Arman Haqqi Anna; Kharis, Selly Anastassia Amellia
G-Tech: Jurnal Teknologi Terapan Vol 9 No 4 (2025): G-Tech, Vol. 9 No. 4 October 2025
Publisher : Universitas Islam Raden Rahmat, Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70609/g-tech.v9i4.8077

Abstract

Digital literacy has become an essential skill in higher education, particularly in online and distance learning settings. This study explores the use of Light Gradient Boosting Machine (LightGBM) to classify digital literacy levels among 10,393 students at Universitas Terbuka. To improve both efficiency and clarity of interpretation, feature selection was carried out using SelectKBest, which reduced the dataset to 33 predictors. The final model, evaluated through stratified 5-fold cross-validation, achieved an accuracy of 0.964 and a weighted F1-score of 0.964. The results show that limiting the number of features did not weaken predictive performance, while also making it easier to identify which aspects of digital literacy are most influential. Interestingly, the strongest predictors were not only technical skills but also ethical behavior, digital citizenship, and online communication. These findings highlight that digital literacy is multidimensional and that effective assessment tools must account for social and behavioral factors alongside technical competence. Taken together, applying feature selection with LightGBM offers an effective way to assess digital literacy in higher education. The method achieves strong predictive accuracy while keeping the model interpretable, giving universities clearer guidance for shaping interventions and curricula in online learning contexts.
Co-Authors AA Sudharmawan, AA Agustiani Putri Agustiani Putri Ajmal, Muhammad Anna Zili, Arman Haqqi Arman Haqqi Anna Zili ARMAN HAQQI ANNA ZILI Arman Haqqi Anna Zili Arman Haqqi Anna Zili Asmara Iriani Tarigan Bramastary, Aurelly Meidy Bustamam, Alhadi Danial, T Ahmad Darsih Idayani Darwin Hartono Derick Hendri Devvi Sarwinda Dian Lestari Dwi Antari Wijayanti Edwar Zubir Edward Zubir Edward Zubir Eka Wirajuang Daurrohmah Elin Herlinawati Endang Wahyuningrum Endy Grade Tampubolon Fajar, Fauzan Ihza Fatia Fatimah Fauzan Ihza Fajar Febri Maulana Hasoloan Siregar Heny Kurniawati Herlinawati, Elin Hertono, Gatot Fatwanto Hirawati Lubis Indriyani, Annisa Irawan, Sam Rizky Kusriyah, Siti Maulana Malik, Maulana Maulani, Nur Izani Maulidia Permatasari, Sri Melisa Arisanty Melisa Arisanty Muna, Siti Umamah Naili NadyaAsanul Husna Nur Mahin Nuryaningrum, Wahyu Nyoman A. Wibawa Pesi Suryani Putri, Agustiani Qonitah, Laity Riady, Yasir Robiansyah, Anton Robiansyah, Anton Saputra, Dimas Septian Siregar, Hasoloan Sri Maulidia Permatasari Sri Maulidia Permatasari Sukatmi, Sri Sumartono Sumartono Sumartono Tarigan, Asmara Iriani Tri Murdiyanto Tri Wijayanti Septiarini Wahyu Hidayat Wiradharma, Gunawan Yasir Riady Yumiati Zubir, Edward