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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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UJI VALIDITAS DAN RELIABILITAS INSTRUMEN PENJADWALAN MATA KULIAH TUTORIAL TATAP MUKA DAN WEBINAR UNIVERSITAS TERBUKA Kharis, Selly Anastassia Amellia; Zubir, Edward; Permatasari, Sri Maulidia; Arisanty, Melisa; Qonitah, Laity; Robiansyah, Anton
Paedagoria : Jurnal Kajian, Penelitian dan Pengembangan Kependidikan Vol 15, No 4 (2024): Oktober
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/paedagoria.v15i4.26260

Abstract

Abstrak: Universitas Terbuka (UT) sebagai pioneer instansi pendidikan dengan pembelajaran jarak jauh di Indonesia. Salah satu bentuk layanan yang diberikan Universitas Terbuka kepada mahasiswa adalah layanan bantuan pembelajaran.  Salah satu bentuk layanan bantuan pembelajaran adalah tutorial berbasis tatap muka (TTM) dan tutorial berbasis webinar (tuweb). Sebelum pelaksanaan TTM dan tuweb, Universitas Terbuka menyusun penjadwalan pembelajaran berdasarkan pada standar aturan yang telah ditentukan. Dengan semakin meningkatnya jumlah mahasiswa, dibutuhkan efektivitas dalam proses penjadwalan, sehingga penelitian terkait dengan penjadwalan TTM dan tuweb perlu dilakukan. Salah satu hal yang harus dipersiapkan dalam penelitian adalah instrumen penelitian yang telah diuji validitas dan reliabilitas datanya. Penelitian ini menggunakan kuesioner sebagai instrumen pengumpulan data dan bertujuan untuk menguji validitas dan reliabilitas kuesioner penjadwalan mata kuliah TTM dan tuweb Universitas Terbuka. Penelitian ini memanfaatkan metode Pearson Correlation dalam pengujian validitas dan teknik Cronbach’s Alpha untuk menguji reliabilitas instrumen penelitian. Penelitian dilakukan kepada 36 manager dan staff yang melakukan proses penjadwalan di UT Daerah. Instrumen penelitian terdiri dari enam variabel, yaitu variabel registrasi dan pembayaran mahasiswa, kelompok belajar (pokjar) dan sentra layanan UT (Salut), tutor TTM/Tuweb, petugas UT Daerah, persetujuan prodi dan fakultas, dan variabel sistem penjadwalan. Hasil penelitian menunjukkan tiga dari enam variabel valid dan reliabel. Berdasarkan hal tersebut, 3 variabel pada instrumen penelitian dapat dipercaya dan konsisten.Abstract:  Universitas Terbuka (UT) is a distance learning university in Indonesia. One of the services provided by Universitas Terbuka to its students is learning support services. This support includes face-to-face tutorials (TTM) and webinar tutorials (tuweb). Before the implementation of TTM and tuweb, Universitas Terbuka prepares the scheduling in accordance with established standards. With the increasing number  of students, the effectiveness of the scheduling proses is necessary, so that research on TTM and tuweb scheduling needs to be carried out. One critical aspect of this reserach is the preparation of a research instrument that has undergone validity and reliability testing. This study uses questionnaire as data collection instrument and aims to test the validity and reliability of questionnaire for TTM and tuweb scheduling process in UT. This study uses Pearson Correlation to test validity and Cronbach’s Alpha  to test the reliablity of the research instruments. The research was conducted with 36 managers and staff involved in the scheduling process at UT regional Offices. The research instrument consists of six indicators: student registration and payment, study groups (pokjar) and UT service centers (Salut), TTM/Tuweb tutors, UT Regional staff, program, and faculty approval, and scheduling systems. The results indicate that three out of six indicators are valid and reliable. Based on these findings, three indicators of the research instrument are deemed trustworthy and consistent
Creative Digital Literacy in Reducing War Flaming on Social Media Arisanty, Melisa; Riady, Yasir; Amellia Kharis, Selly Anastassia; Sukatmi, Sri; Zubir, Edward; Ajmal, Muhammad
Communicatus: Jurnal Ilmu komunikasi Vol 8, No 2 (2024): Communicatus: Jurnal Ilmu Komunikasi
Publisher : Fakultas Dakwah dan Komunikasi UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/cjik.v8i2.40154

Abstract

War flaming constitutes one of the perilous practices prevalent on social media platforms. This might result in discomfort associated with social media usage, leading to melancholy, anxiety, excessive worry, and disturbances in mental health. War Flaming has become a prominent issue that necessitates enhancing digital literacy on social media platforms. This study employed a qualitative methodology, with data collected through observation, in-depth interviews, and Focus Group Discussions (FGD). Informants were selected using standard case sampling. The selected informants include the Directorate of IKP from the Ministry of Communication and Information of the Republic of Indonesia, SiBerkreasi, digital technology and culture experts, and specialists in social campaigns. The findings indicated that digital literacy building aimed at mitigating war flaming on social media involved creating innovative social campaigns through pertinent language and a human-centric literacy approach. This strategy seeks to engage Generation Z, empowering youth communities as proactive advocates against hoax narratives on social media. It emphasizes collaboration among governmental entities, community leaders, and journalists within the anti-war flaming educational initiative, alongside the optimization of TikTok and Instagram for disseminating positive content, and partnerships with young influencers to promote the significance of digital reputation. Creative digital literacy, facilitated by social campaigns and multisectoral cooperation, effectively mitigates war flaming on social media, enhances Gen Z awareness, and promotes mental health through affirmative material.
Comparing machine learning models for Indonesia stock market prediction Amellia Kharis, Selly Anastassia; Anna Zili, Arman Haqqi; Malik, Maulana; Nuryaningrum, Wahyu; Putri, Agustiani
Indonesian Journal of Electrical Engineering and Computer Science Vol 38, No 1: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v38.i1.pp508-516

Abstract

The financial market hold a significant role in the economy and the ability to accurately predict stock prices poses a major challenge, particularly in volatile markets like Indonesia. This study investigates the application of three supervised machine learning algorithms: random forest (RF), support vector regression (SVR), K-nearest neighbor (KNN) to predict the closing prices of stocks. The data used in this research consists of BBCA, PWON, and TOWR stocks. This study adopted daily historical stock prices from March 2017 to February 2020, which were normalized and segmented into training and testing datasets. The models were trained using machine learning techniques, and their predictive accuracy was evaluated using root mean square error (RMSE) and mean absolute error (MAE). The historical stock data includes Open, High, Low, and Close prices. The result indicated that SVR consistently outperforms RF and KNN in terms of RMSE and MAE across different stocks. The SVR method produced RMSE values of 4.79% for BBCA stock, 10.61% for PWON stock, and 15.14% for TOWR stock, and produces MAE values of 3.52% for BBCA stock, 8.49% for PWON stock, and 13.78% for TOWR stock.
Model Matematika SVEIAR Penularan Covid-19 di Indonesia dengan Intervensi Vaksinasi dan Tradisi Mudik Idayani, Darsih; Tarigan, Asmara Iriani; Kharis, Selly Anastassia Amellia; Kurniawati, Heny
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Volume 13 Issue 1 April 2025
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v13i1.30231

Abstract

In early 2020, the Covid-19 epidemic started in China, rapidly spreading across the globe, including Indonesia. Indonesian society is known for its diversity and complexity, making it difficult to predict trends in the number of infected, deceased, and recovered individuals. This study develops a Covid-19 transmission epidemic model, called SV EIAR, which accounts for interventions such as vaccination and the mudik tradition (the practice of returning to hometowns during Eid). In this model, the susceptible (S) compartment refers to the subpopulation of individuals who are susceptible to the virus, while vaccinated (V) represents those who have been vaccinated twice. The exposed (E) compartment includes individuals who are infected but still in the incubation period and unable to spread the virus. Infection (I) refers to individuals who are symptomatic, and asymptomatic (A) includes those who are infected but show no symptoms. Lastly, the recover (R) compartment represents individuals who have recovered from the infection. The analysis of the model involves identifying the reproduction number, estimating the disease-free and endemic equilibrium points, and analyzing their stability. Numerical simulations were carried out using Covid-19 transmission data from Indonesia to predict the trends of the infected and asymptomatic populations. The results suggest that the dynamics of Covid-19 cases are semi-stable in the susceptible (S), exposed (E), infected (I), and asymptomatic (A) compartments, meaning that these populations will increase over time. In a disease-free situation, the susceptible population (S) remains stable at a certain value, while other populations are stable at nearly zero. The susceptible population in the disease-free state is larger than during an epidemic, while other populations are smaller in the disease-free state compared to the epidemic. Additionally, the study found that vaccination can help reduce the transmission of Covid-19, while the practice of mudik can increase the spread of the virus.
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): Jurnal PkM PATIKALA
Publisher : Education and Talent Development Center of 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
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.
Co-Authors AA Sudharmawan, AA Abdulmana, Sahidan Agustiani Putri Ajmal, Muhammad Anna Zili, Arman Haqqi Anuraga Jayanegara ARMAN HAQQI ANNA ZILI Arman Haqqi Anna Zili Arman Haqqi Anna Zili Asmara Iriani Tarigan Asmara Iriani Tarigan Asmara Iriani Tarigan Bramastary, Aurelly Meidy Bustamam, Alhadi Danial, T Ahmad Darsih Idayani Darsih Idayani Darwin Hartono Derick Hendri Devvi Sarwinda Dian Lestari Dwi Antari Wijayanti Edward Zubir Edward Zubir Eka Wirajuang Daurrohmah Elin Herlinawati Elin Herlinawati Endang Wahyuningrum Endy Grade Tampubolon Fajar, Fauzan Ihza Fatia Fatimah Fauzan Ihza Fajar Febri Maulana Hasoloan Siregar Hasoloan Siregar Heny Kurniawati Heny Kurniawati Hertono, Gatot Fatwanto Hirawati Lubis Indriyani, Annisa Irawan, Sam Rizky Kusriyah, Siti Martinasari, Made Diyah Putri Maulana Malik, Maulana Maulidia Permatasari, Sri Melisa Arisanty Melisa Arisanty NadyaAsanul Husna Nur Izani Maulani Nur Mahin Nuryaningrum, Wahyu Nyoman A. Wibawa Pesi Suryani Putri, Agustiani Qonitah, Laity Riady, Yasir Robiansyah, Anton Robiansyah, Anton Saputra, Dimas Septian Siti Umamah Naili Muna 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, Edwar Zubir, Edward