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All Journal Jurnal Pendidikan Matematika Undiksha JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI P2M STKIP Siliwangi SITEKIN: Jurnal Sains, Teknologi dan Industri Jurnal Riset Pendidikan Matematika AKSIOMA: Jurnal Program Studi Pendidikan Matematika Jurnal Teknologi Informasi dan Ilmu Komputer Al-Jabar : Jurnal Pendidikan Matematika JOIV : International Journal on Informatics Visualization KALAMATIKA Jurnal Pendidikan Matematika PRISMA Faktor Exacta Jurnal Pengabdian Pada Masyarakat Abdimas Talenta : Jurnal Pengabdian Kepada Masyarakat Numeracy : Jurnal Ilmiah Pendidikan Matematika BAREKENG: Jurnal Ilmu Matematika dan Terapan JMM (Jurnal Masyarakat Mandiri) JTAM (Jurnal Teori dan Aplikasi Matematika) SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Indiktika : Jurnal Inovasi Pendidikan Matematika Martabe : Jurnal Pengabdian Kepada Masyarakat KOMPUTIKA - Jurnal Sistem Komputer Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat Mathvision : Jurnal Matematika GERVASI: Jurnal Pengabdian kepada Masyarakat MES: Journal of Mathematics Education and Science Jurnal Penelitian Pembelajaran Matematika Sekolah Jurnal Eduscience (JES) Dedikasi: Jurnal Pengabdian Masyarakat Jurnal Pengabdian Masyarakat Borneo Jurnal Absis : Jurnal Pendidikan Matematika dan Matematika Jurnal Magister Pendidikan Matematika (JUMADIKA) Jurnal Abdi Insani Abdimasku : Jurnal Pengabdian Masyarakat Range : Jurnal Pendidikan Matematika Jubindo: Jurnal Ilmu Pendidikan Bahasa dan Sastra Indonesia Jurnal Anugerah: Jurnal Pengabdian Kepada Masyarakat Bidang Keguruan dan Ilmu Pendidikan Journal of Research in Mathematics Trends and Technology JAMBURA JOURNAL OF PROBABILITY AND STATISTICS JUPIKA: JURNAL PENDIDIKAN MATEMATIKA Jurnal Diferensial Jurnal Penelitian Inovatif MATH-EDU: Jurnal Ilmu Pendidikan Matematika Jurnal Algoritma Smart Society: Community Service and Empowerment Journal Fraction: Jurnal Teori dan Terapan Matematika Jurnal Pengabdian Sains dan Humaniora Malcom: Indonesian Journal of Machine Learning and Computer Science IC Tech: Majalah Ilmiah Parameter: Jurnal Matematika, Statistika dan Terapannya Kreativasi: Journal of Community Empowerment PADIMAS: Jurnal Pengabdian Masyarakat Journal of Mathematics, Computation and Statistics (JMATHCOS) Jurnal Jendela Matematika Jurnal Pendidikan MIPA Journal on Mathematics Education Trigonometri : Jurnal Matematika IC Tech: Majalah Ilmiah Media Pendidikan Matematika
Simarmata, Justin Eduardo
Pendidikan Matematika, Fakultas Keguruan Dan Ilmu Pendidikan, Universitas Timor, Indonesia
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Model Analisis Jalur Pengaruh Kemampuan Minat Belajar dan Motivasi Terhadap Hasil Belajar Simarmata, Justin Eduardo; Mone, Ferdinandus; Kehi, Yohanes Jefrianus; Chrisinta, Debora
Jurnal Penelitian Inovatif Vol 4 No 1 (2024): JUPIN Februari 2024
Publisher : CV Firmos

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54082/jupin.271

Abstract

Minat dan motivasi belajar mahasiswa dapat meningkatkan hasil belajar dalam hal ini adalah IPK. Penelitian ini bertujuan untuk melakukan analisis jalur terhadap minat dan motivasi belajar mahasiswa terhadap IPK. Data yang digunakan merupakan data jawaban kuisoner 115 mahasiswa. Kuisoner dirancang dengan indikator-indikator yang dapat membangun variabel minat belajar (X1), motivasi belajar (X2) dan IPK (Y). Metode yang digunakan pada penelitian ini adalah metode analisis jalur. Hasil penelitian menunjukkan terdapat tiga model yang signifikan antara lain ,  dan . Variabel minat belajar memberikan pengaruh tidak langsung sebesar 49.3% terhadap IPK mahasiswa, sedangkan variabel motivasi belajar memberikan pengaruh langsung sebesar 40.9% terhadap IPK. Oleh karena itu dapat dikatakan bahwa, variabel minat belajar dan motivasi belajar memberikan pengaruh yang positif terhadap IPK. 
Using Newman Error Analysis to Detect Students’ Error in Solving Junior High School Mathematics Problem Ahzan, Zulkaidah Nur; Simarmata, Justin Eduardo; Mone, Ferdinandus
Jurnal Pendidikan MIPA Vol 23, No 2 (2022): Jurnal Pendidikan MIPA
Publisher : FKIP Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The existence of student errors is due to the inability of the students to receive and process the information contained in the given questions. Therefore, it is necessary to conduct an analysis to find out student errors so that the results obtained in the analysis can be used by teachers to provide appropriate assistance to students, either through methods or media in learning mathematics. This study is a qualitative descriptive study. The purpose of this study was to find out how many errors were made by the eighth-grade class of Nurul Falah MTs in solving math problems according to Newman’s theory in school year 2021/2022. So that solutions to reduce errors can be found and also to emphasize which parts require a deeper understanding in solving math problems. The results of the analysis showed that the percentage of student errors in the Reading Error (RE) phase was 13.33%, Reading Comprehension (RC) phase was 42.22%, Transformation Error (TE) phase was 28.89%, Process Skill (PS) phase was 71.11%, and the Encoding Error (EE) phase was 86.67%. From the results of the analysis, it can be seen that the most errors made by students are Encoding Error, which are 86.67%. Keywords: student error analysis, Islamic junior high school, Newman’s Theory. DOI: http://dx.doi.org/10.23960/jpmipa/v23i2.pp459-473
Application of Expectation Maximization Algorithm in Estimating Parameter Values of Maximum Likelihood Model Simarmata, Justin Eduardo; H. Bete; S. A. Purba
Journal of Research in Mathematics Trends and Technology Vol. 3 No. 1 (2021): Journal of Research in Mathematics Trends and Technology (JoRMTT)
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jormtt.v3i1.8331

Abstract

Parameter estimation is an estimation of the population parameter values ​​based on data or samples of population. Parameter estimation can be solverd by several methods, one of which is the Maximum Likelihood method. The focus of this research is to estimate the parameter value of a normal distribution data with Maximum Likelihood based on iteration algorithm. The iteration algorithm that will be used is the Expectation Maximation Algorithm with help of Matlab 2016a program. Based on the results obtained that the estimation value of the parameter and for an accident data in Indonesia based on age group with using Expectation Maximization algorithm is and with 2 iterations.
The Use Of The Black Scholes Model In Determining The Price Of The European Type Option Simarmata, Justin Eduardo; Ahzan, Z.N.
Journal of Research in Mathematics Trends and Technology Vol. 3 No. 2 (2021): Journal of Research in Mathematics Trends and Technology
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jormtt.v3i2.8642

Abstract

An option is a contract between the seller’s option and the buyer’s option, while the factors that affect the value of the option are the stock price (S), the strike price (K), the maturity date (T), interest rate (r), volatility (σ). The application of the models in this study uses daily stock closing data from PT PP London Sumatra Indonesia Tbk from July 18, 2019, until September 19, 2019, so that the initial stock price is = Rp1,090, the interest rate is 5.5%, the value stock price volatility is 0.253. The computation of the option prices using the Black Scholes model aims to found out all the values ​​generated from European type put options. By applying the Black Scholes model, the value generated from the European type option is Rp14,768.
IDENTIFICATION OF DOMINANT FACTORS IN STUNTING CASE NARRATIVES USING PCA AND SVD APPROACHES Chrisinta, Debora; Simarmata, Justin Eduardo; Baldemor, Milagros R.; Purnomo, Miko
Parameter: Jurnal Matematika, Statistika dan Terapannya Vol 4 No 1 (2025): Parameter: Jurnal Matematika, Statistika dan Terapannya
Publisher : Jurusan Matematika FMIPA Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/parameterv4i1pp11-28

Abstract

Stunting remains a serious public health concern in Indonesia, exacerbated by the limited public understanding of its causes and prevention strategies. This study analyzes public perceptions of stunting based on reviews collected through web scraping from the 2023 Indonesian Health Survey (SKI). Text preprocessing techniques, Term Frequency-Inverse Document Frequency (TF-IDF) analysis, and dimensionality reduction using Principal Component Analysis (PCA) and Singular Value Decomposition (SVD) were applied to a dataset comprising 21 reviews. The results indicate that PCA outperforms SVD in simplifying the relationships among key terms, as evidenced by a lower reconstruction error (0.003861 compared to 0.004232). The dominant factors influencing public perception include education, sanitation, and socio-economic conditions. These findings highlight the critical role of data-driven and visual-based educational strategies in enhancing public awareness and accelerating stunting prevention efforts.
Structural Equations Modeling Approach: Issues in selecting a University Simarmata, Justin Eduardo; Mone, Ferdinandus; Chrisinta, Debora
JOIV : International Journal on Informatics Visualization Vol 8, No 3 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.3.2162

Abstract

Higher education is a continuation of secondary education that is organized to prepare students to become members of the community with academic or professional abilities. Therefore, selecting a university is essential for helping students acquire knowledge and skills and prepare themselves to be independent individuals. This study intends to determine the distribution of decision-making students who select the university based on factors of academic ability, individual characteristics, psychology, instrumental, and environmental factors. The study's methodology, which involves the collection of primary data from 474 respondents from high schools in the Indonesian-Timor Leste border region, is robust and rigorous, instilling confidence in the reader. The method used for data analysis is quantitative, which involves applying structural equation modeling to identify factors that influence students’ selection of universities. The study results showed that out of the six structural models formed, they could provide evidence that factors such as academic ability, individual characteristics, psychology, instrumental factors, and environment influence students’ selection of universities. This can be seen from the test values of the regression model formed in the structural modeling, which gives a P-value of less than 5%. The variable that provided the largest percentage, partially influencing student interest in selecting a state university, was the school environment, which was 98%. The value was based on the path coefficient of structural equation modeling. These findings have significant implications for the design of university admission processes and the development of student support programs.
PEMANFAATAN MARKETPLACE SEBAGAI UPAYA MENINGKATKAN AKSES PASAR DAN EFISIENSI PENJUALAN KELOMPOK TANI SAPI POTONG Chrisinta, Debora; Sahala, Josua; Banu, Marselinus; Eduardo Simarmata, Justin
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 8, No 1 (2025): MARTABE : JURNAL PENGABDIAN KEPADA MASYARAKAT
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v8i1.389-395

Abstract

Program pengabdian ini bertujuan untuk meningkatkan keterampilan masyarakat dalam memanfaatkan teknologi digital sebagai sarana pemasaran produk melalui aplikasi marketplace di Facebook. Sosialisasi program, pelatihan yang terstruktur, serta pendampingan intensif diberikan untuk membantu mitra sasaran memahami dan menerapkan strategi pemasaran digital yang sesuai dengan kebutuhan mereka. Melalui pendekatan yang berbasis kebutuhan dan penerapan langsung, pengabdian ini tidak hanya meningkatkan keterampilan teknis peserta tetapi juga berkontribusi pada pengembangan metode pendidikan praktis di bidang teknologi digital, khususnya dalam konteks pemberdayaan ekonomi masyarakat. Hasil evaluasi menunjukkan tingkat kepuasan yang tinggi terhadap kegiatan ini, dengan peserta merasa terbantu dalam mengakses pasar digital dan mengembangkan usaha mereka secara mandiri. Selain itu, keberlanjutan program difasilitasi melalui pembentukan komunitas dan jaringan dukungan, yang diharapkan dapat memperkuat dampak jangka panjang program ini. Dengan demikian, pengabdian ini dapat memberikan kontribusi signifikan pada perkembangan ilmu pengetahuan di bidang pendidikan teknologi terapan, khususnya dalam pengembangan keterampilan pemasaran digital di kalangan masyarakat.
IMPLEMENTASI ALGORITMA CLUSTERING UNTUK PENGELOMPOKAN MAHASISWA BERDASARKAN RESPON TERHADAP METODE PEMBELAJARAN BAHASA INGGRIS KOMPUTER Simarmata, Justin Eduardo; Aprianti, Iis; Chrisinta , Debora; Purnomo, Miko
IC Tech: Majalah Ilmiah Vol 20 No 1 (2025): IC Tech: Majalah Ilmiah Volume XX No. 1 April 2025
Publisher : P3M Institut Widya Pratama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47775/ictech.v20i1.332

Abstract

Permasalahan yang dihadapi dalam proses pembelajaran Bahasa Inggris adalah rendahnya minat dan motivasi belajar mahasiswa yang dipengaruhi oleh persepsi mahasiswa terhadap metode pembelajaran yang digunakan, khususnya media video. Perbedaan persepsi ini dapat menyebabkan ketidakefektifan dalam penyampaian materi serta pencapaian hasil belajar yang tidak merata. Penelitian ini bertujuan untuk mengelompokkan mahasiswa berdasarkan respon mahasiswa terhadap media video dalam pembelajaran Bahasa Inggris, sehingga dapat diketahui karakteristik masing-masing kelompok dan strategi pembelajaran yang sesuai. Metode yang digunakan adalah analisis klaster dengan pendekatan Hierarchical Agglomerative Clustering menggunakan metode Ward. Data diperoleh dari kuesioner yang mencakup enam variabel, kemudian dilakukan pra-pemrosesan meliputi pembersihan data dan transformasi data kategorik menjadi numerik. Hasil analisis menunjukkan terbentuknya tiga klaster mahasiswa dengan distribusi yang relatif merata, di mana setiap klaster memiliki karakteristik persepsi dan motivasi belajar yang berbeda. Klaster pertama didominasi oleh sikap netral, klaster kedua menunjukkan respon positif terhadap video pembelajaran, dan klaster ketiga memperlihatkan preferensi terhadap video dengan konten percakapan. Hasil penelitian menunjukkan bahwa pengajar dapat menyesuaikan strategi dan konten pembelajaran dengan karakteristik masing-masing kelompok untuk meningkatkan efektivitas dan keterlibatan mahasiswa.
Implementasi Algoritma Apriori Dalam Menentukan Penyusunan Buku di Perpustakaan Peter Gelu, Leonard; Chrisinta, Debora; Eduardo Simarmata, Justin
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2956

Abstract

University libraries play an important role in supporting the learning and research processes. However, book borrowing transaction data is often not optimally utilized to understand user needs. This study aims to identify book borrowing patterns at the University of Timor Library in order to find associations between book types that can be used for reading recommendations and collection management. The method used is association rule mining with the Apriori algorithm on book borrowing transaction data for the 2023–2024 period. The analysis results show strong association patterns between several book titles, particularly in the fields of finance and taxation, such as “Financial Statement Analysis and Its Application,” “Value Added Tax,” and "Techniques for Drafting Local Regulations: Regarding Local Taxes and Local Levies," which had a support value of 0.011494, confidence of 100%, and lift of 87. Another strong pattern was found in the field of information technology, namely between the books “Data Mining: [For Data Classification and Clustering]” and “A Brief Introduction to Python 3 Programming” with a lift of 58, indicating a correlation between the topics of programming and data analytics. These findings confirm that library users tend to borrow books with related themes, so the results of this study can be used for collection planning, shelf arrangement, and the development of data-based recommendation systems in libraries.
SOSIALISASI PENGERJAAN SOAL UTBK DENGAN TEKNIK MATH MAGIC DI SMA NEGERI PERBATASAN KEFAMENANU Simarmata, Justin Eduardo; Hijriani, Lailin; Wua Laja, Yosepha Patricia
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 4, No 2 (2021): Martabe : Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v4i2.455-461

Abstract

The purpose of this community service activity is to provide socialization on the work of UTBK with math magic techniques in SMAN 1 and SMAN 2 Kefamenanu. Furthermore, the background of this socialization is to improve the students' reasoning ability through familiarizing themselves with students solving non-routine problems found during the implementation of UTBK, especially in mathematics. This community service was carried out from January to March 2020 with 40 participants. This activity consists of three stages starting with the assessment of the field, the implementation phase and finally the evaluation phase. In the field assessment stage, the servant determines the participants of the socialization, which is specifically for high school students of class xii, prepares administration, prepares materials and UTBK questions and then prepares a schedule. The second stage is the implementation phase in the form of a brief exposure to the UTBK, then giving samples of the UTBK questions for students to work on and scribing questions. The last stage is the evaluation stage in the form of an evaluation of the implementation of activities that have been arranged based on each task that has been given. Based on the socialization activities that have been carried out it can be concluded that these training activities increase students' knowledge about UTBK and add student skills in working on math UTBK questions . In addition, this training motivates students to be more active in learning mathematics and to be more mature in preparing for the upcoming UTBK.
Co-Authors Abi, Roberto Ade Mirza admin pythagoras, admin Agnes L A Halla Agustinus Giovandi Laki Agustinus Giovandi Laki Ahzan, Z.N. Ahzan, Zulkaidah Nur Aloisius Loka Son Astriani Dewi, Ni Putu Yuni Atencia, Bryant Bennet D Atencia, Bryant Bennet D. Baldemor, Milagros R. Bana, Marten Luter Bano, Elinora Naikteas Bantaika, Aris Benu, Kristiani Benu, Luky Wandika Bernadeta Buik Bete, Hendrika Bete, Maria Erlince Bifel, Maria Gabriela Bait Bone, Dominifridus Cecilia Novianti Salsinha Chrisinta, Debora Dian Grace Ludji Elfrida Nailopo Elin, Lailin Hijriani Elisabet Ersamayori Foeh Elisabeth E Mayori Elizio Victor De Araujo Erlina, Nia Fallo, Kristoforus Ferdinandus Mone Fetronela Rambu Bobu Fitriani Fitriani Fitriani Gelu, Leonard Peter Gerhard-Wilhelm Weber Gusti Firda Khairunnisa H. Bete Hendrika Yeni Meti Hijriani, Lailin Hijriani, Lailin Hutubessy, Aditya Ida Bagus Putu Mardana Iis Aprianti Jaya Santoso Jeniana Martha Prima Asa Josua Sahala Juventianus Kenjam Juventianus Kenjam Kehi, Sefrinus Kenjam, Juventianus Klau, Kondradus Yohanes Kondradus Yohanes Klau Kono, Metriana Maria Kristofel Bere Nahak Lailin Hijriani Lidu, Maria LUDGARDIS LEDHENG Luruk, Maria Gaudensia Made Santo Gitakarma Maneno, Regolinda Margareta Rodrigues Gomes Maria Brigita Niis Nana Maria Delviana Mali Maria Erwinda Kefi, Winda Maria Naimnule Marselinus Banu Matute, Alejandro Jr. V. Melkisedik Bukifan Merlin Helentina Napitupulu Miko Purnomo Missa, Yeni mone, ferdinandus Moses Timutang Muhammad Amran Shidik Naimnule, Maria Naisau, Angela Cristina Natalia Emanuela Lelboy Nelciana Talan Ni Putu Yuni Astriani Dewi Ni Putu Yuni Astriani Dewi Ni Wayan Sukerti Nifu, Martha Marsela Nifu, Martha Marsella Oktovianus Mamoh Olo, Maria Regina Pakaenoni, Lusilia Dos Santos Pasaribu, Revi Lestari Patrisius Bauk Peter Gelu, Leonard Pius Thaal, Pius Prudensius Manek Purba, Switamy Angnitha Rita Sila, Vinsensia Ulia S. A. Purba Sanam, Thofilus Sari, Nur Nilam Seko, Herbert Sele, Yunawati Selestina Nahak Siahaan, Meiva Marthaulina Lestari Sila, Vinsensia Ulia Rita Silfester Faentaono Sirait, Debora Sitti Rosnafi’an Sumardi Sopbaba, Merlina Stanislaus Amsikan Switamy Angnitha Purba Taena, Vinsensia Gerosa Talan, Nelciana Tampani, Margarita Tavares, Ricson Thresia Trivict Semiun Uskono, Yunitha Centriana Venidora Solo, Maria Fransiska Vinsensia Ulia Rita Sila Wihelmina, Maria Wisrance Winda Ade Fitriya B Wua Laja, Yosepha Patricia Yakoba Yusina Muanley Yohanes Jefrianus Kehi Zulkaidah Nur Ahzan Zulkaidah Nur Azhan