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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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Prediksi Kelulusan Siswa pada Mata Pelajaran Matematika menggunakan Educational Data Mining Kharis, Selly Anastassia Amellia
JURNAL RISET PEMBELAJARAN MATEMATIKA SEKOLAH Vol 7 No 1 (2023): Jurnal Riset Pembelajaran Matematika Sekolah
Publisher : Program Studi Pendidikan Matematika FMIPA Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/jrpms.071.03

Abstract

Pesatnya perkembangan teknologi menyebabkan keterlimpahan data di berbagai bidang termasuk pendidikan. Dengan fenomena tersebut akan sangat berguna jika data-data tersebut dapat dihubungkan dan dicari pola sehingga mudah dipahami dan dapat digunakan untuk pengambilan keputusan dalam sistem managemen instansi pendidikan. Di dunia pendidikan tentu banyak data yang dapat digali, mulai dari data kinerja pengajar, data nilai mahasiswa, tracer study, dan data proses pembelajaran. Di sisi lain, evaluasi pembelajaran yang dilakukan biasanya terlaksana setelah nilai ujian keluar dan tidak ada peringatan dini untuk siswa terkait dengan kemajuan pembelajarannya. Akibatnya, tindakan pencegahan yang dilakukan oleh guru atau pihak sekolah menjadi terlambat dan dapat berdampak hingga ketidaklulusan siswa. Salah satu inovasi evaluasi pembelajaran yang dapat dilakukan di sekolah adalah dengan menggunakan educational data mining untuk memprediksi kelulusan siswa. Educational data mining diawali dengan pengumpulan, transformasi hingga analisis data. Pada penelitian ini, dilakukan perbandingan berbagai metode machine learning untuk memprediksi kelulusan siswa. Dalam penggalian data, penelitian ini menggunakan data akademik siswa menengah pada mata pelajaran di Portugal dengan 395 sampel dan 33 variabel bebas. Hasil dari educational data mining diharapkan dapat menjadi rujukan untuk menentukan strategi yang tepat untuk menurunkan ketidaklulusan siswa dan menjadi peringatan dini untuk ketidaklulusan siswa.
Comparison of Mathematical Learning Capabilities Among Students Using the Reciprocal Teaching and Problem Posing Model Kharis, Selly Anastassia Amellia; Tri Murdiyanto; Wijayanti, Dwi Antari; Zubir, Edward
JURNAL RISET PEMBELAJARAN MATEMATIKA SEKOLAH Vol 6 No 2 (2022): Jurnal Riset Pembelajaran Matematika Sekolah
Publisher : Program Studi Pendidikan Matematika FMIPA Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/jrpms.062.01

Abstract

The purpose of this study is to ascertain whether students who learn to utilize the reciprocal teaching model have a greater understanding of mathematical topics than students who learn to use the problem posing approach. This research was carried out at SMP Negeri 97 Jakarta for seventh grade students on the subject of Persamaan Linear Satu Variabel (PLSV). This study was conducted using a quasi-experimental design. A two-stage random sampling method was employed for the sampling process.The first stage is purposive sampling, in this case three classes are selected which are taught by the same teacher. Then the second stage is cluster random sampling, from three classes that are normally distributed, homogeneous and have the same average, two classes are randomly selected as experimental class I (reciprocal teaching model) and experimental class II (problem posing model). The research instrument used was the final test of the ability to understand mathematical concepts on the subject of PLSV as many as 6 questions. Validity testing uses content, construct, and empirical validity. Calculation of the reliability of the instrument using the Cronbach Alpha correlation formula and obtained a reliability coefficient of 0.714 which is classified as high. The research hypothesis was tested using t-test statistics.The result show that the ability to understand mathematical concepts of students who learn to use the reciprocal teaching model is higher than problem posing model.
Penguatan Digital Culture Siswa dalam Meningkatkan Literasi Digital: Pendekatan Teoritis dan Praktis Selly Anastassia Amellia Kharis; Melisa Arisanty; Gunawan Wiradharma; Anton Robiansyah; Edward Zubir; Sri Sukatmi; Sri Maulidia Permatasari
I-Com: Indonesian Community Journal Vol 4 No 3 (2024): I-Com: Indonesian Community Journal (September 2024)
Publisher : Fakultas Sains Dan Teknologi, Universitas Raden Rahmat Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33379/icom.v4i3.5227

Abstract

Good digital literacy skills are essential in the digital era. One crucial element of digital literacy is digital culture. Digital culture needs to be instilled from en early age to prevent the negative impacts of digital transformation. This activity aimed to enhance digital literacy, particularly digital culture, among students at SMP PGRI 1 Ciputat. The activity involved 40 student representatives who are members of the Organisasi Siswa Intra Sekolah (OSIS). The program was in the form of a training session that covered both theoretical and practical applications, including material on digital literacy, social media communication ethics, and data security. The results showed an improvement in students’ understanding of the concept of digital culture. Through this activity, students are expected to become more conscious and responsible technology users and participate positively in the digital society.
Analyzing Social and Psychological Impacts: Shifting Student Interaction from Teachers to ChatGPT in the Learning Process Kharis, Selly Anastassia Amellia; Indriyani, Annisa
EDUKATIF : JURNAL ILMU PENDIDIKAN Vol 6, No 5 (2024)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/edukatif.v6i5.7109

Abstract

The integration of artificial intelligence (AI), specifically ChatGPT, into education it may reduce social engagement among students and teachers also can diminish critical thinking skills, as students might prefer easy answers over deep, analytical thinking. This study investigates the social and psychological impacts of shifting student interactions from teachers to AI. The research method used is a literature study by reviewing seceral relevant and current literature. The result of this study is the reduction in face-to-face interaction can hinder the development of essential communication and collaborative skills between students and teachers as an impact of the intensity of AI use. Moreover, the dependency on AI could lead to a superficial understanding of subjects, with students accepting information at face value without thorough evaluation, thereby affecting their overall academic development and comprehension. Additionally, the study underscores the necessity of developing emotional intelligence, which AI cannot effectively nurture. The findings underscore the irreplaceable role of educators in nurturing cognitive and socio-emotional development, advocating for a balanced approach to integrating AI in education
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.
TRAINING AND ASSISTANCE IN THE DEVELOPMENT OF LEARNING OUTCOME ASSESSMENT MATERIALS HIGH-ORDER THINKING SKILLS FOR HIGH SCHOOL MATHEMATICS TEACHERS IN SOUTH TANGERANG Herlinawati, Elin; Kharis, Selly Anastassia Amellia; Idayani, Darsih; Siregar, Hasoloan; Muna, Siti Umamah Naili
As-Sidanah Vol 5 No 2 (2023): OKTOBER
Publisher : LP2M Universitas Ibrahimy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/assidanah.v5i2.382-398

Abstract

High Order Thinking Skill (HOTS) is students' ability to process knowledge and ideas in a certain way to give them new knowledge and implications. The general perception regarding HOTS questions is that they are high-level questions. Most teachers adopt olympic questions as HOTS questions due to a misperception that HOTS questions are difficult, even though HOTS questions can be made in various difficulty levels: low, medium, and high. In addition, the substantive aspect of Mathematics, especially the application of Mathematics in life, is also one of the problems in developing HOTS questions. The method of implementing community service (PkM) is by training and assisting in preparing SMA-level Mathematics HOTS questions. The results of this PkM activity are: (1) Increased knowledge and understanding of teachers in the technique of developing HOTS questions which can be seen in an increase in the average pre-test and post-test results by 9%, (2) Improved mathematical skills in the use of concepts and applied Mathematics on HOTS questions. This can be seen from the questions made by the teachers in this PkM activity, and (3) the participants' satisfaction with this PkM activity is shown by the questionnaire results with a satisfaction range of 85.71% - 96.43%.
TRAINING AND ASSISTANCE IN USING GEOGEBRA TO IMPROVE THE COMPETENCE OF HIGH SCHOOL MATHEMATICS TEACHERS Idayani, Darsih; Hidayat, Wahyu; Kharis, Selly Anastassia Amellia; Tarigan, Asmara Iriani; Sumartono, Sumartono
As-Sidanah Vol 6 No 1 (2024): APRIL
Publisher : LP2M Universitas Ibrahimy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35316/assidanah.v6i1.182-192

Abstract

Mathematics teachers must adapt to technological developments in the digital era. Among other problems related to learning mathematics, students tend to feel bored and uninterested in mathematics. At the same time, most teachers need help keeping up with fast technology developments. The solution offered is training and mentoring activities for using the GeoGebra software in mathematics learning in South Tangerang City in collaboration with the Subject Teacher Deliberation of Mathematics or MGMP. The material presented was about introducing GeoGebra, graphs, and function operations. Moreover, it was about solving linear programming, geometry, and calculus in GeoGebra. The pretest and posttest results showed increased participants' knowledge about GeoGebra utilization. This condition is indicated by the significance value of the t-test, which is less than 0.05 and less than 0.001. In addition, activity evaluation was carried out by filling out evaluation forms and interviews. The evaluation results show that the training and mentoring activities have enabled participants to gain new knowledge about the GeoGebra as needed in teaching mathematics in high school.
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.
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