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Simarmata, Justin Eduardo

Pendidikan Matematika, Fakultas Keguruan Dan Ilmu Pendidikan, Universitas Timor, Indonesia

Author-ID : 1527235

Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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IMPLEMENTATION OF PARTITIONING AROUND METHOD (PAM) IN IDENTIFYING THE CHARACTERISTICS OF NTT PROVINCE'S GNP Chrisinta, Debora; Simarmata, Justin Eduardo
JURNAL DIFERENSIAL Vol 6 No 1 (2024): April 2024
Publisher : Program Studi Matematika, Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jd.v6i1.12465

For the aspect of economic growth in NTT Province, it is necessary to understand regional characteristics in order to know the potential of each region. The aims of this study were to found the potential of regions in NTT that can increase the rate of economic growth by applying \textit{cluster} analysis, namely the Partitioning Around Method (PAM). The data used is based on data from BPS with variables of GDP, Labor Force, Unemployment, Average Length of Schooling and Investment in 2022. The results showed that optimal \textit{clusters} were obtained as many as 2 groups. \textit{Cluster} 2 shows a larger average value than \textit{cluster} 1. This means that districts/cities that tend to have higher GDP potential as well as labor force, unemployment, average length of schooling and investment are contained in \textit{cluster} 2. Meanwhile, districts/cities in \textit{cluster} 1 show a lower average.

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

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

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

Parameter estimation is an estimation of the population parameter values â€‹â€‹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

An option is a contract between the sellerâ€™s option and the buyerâ€™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 (Ïƒ). 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 â€‹â€‹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

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

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

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

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.

PELATIHAN MENDELEY DESKTOP UNTUK PENULISAN KARYA TULIS ILMIAH BAGI GURU-GURU SMP NEGERI WINI Eduardo Simarmata, Justin; Yuni Astriani Dewi, Ni Putu; Ulia Rita Sila, Vinsensia; Amran Shidik, Muhammad; Sele, Yunawati
Martabe : Jurnal Pengabdian Kepada Masyarakat Vol 5, No 4 (2022): Martabe : Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Muhammadiyah Tapanuli Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31604/jpm.v5i4.1355-1363

This community service activity aims to train skills and improve bibliography writing skills using the Mendeley Desktop in writing scientific papers for Wini State Junior High School teachers. Community service activity was carried out at Wini State Junior High School, North Central Timor Regency, East Nusa Tenggara. The training method is carried out in the following stages: lectures, demonstrations, discussions/questions and answers. The training activities were carried out face-to-face with the training participants as many as 13 Wini State Junior High School teachers. Based on the results of the training activities, it was found that the training of usingÂ Mendeley Desktop has a positive impact toward development of teachers' abilities in writing scientific papers. The results of training activities related to the understanding of teachers in the technical use of Mendeley Desktop, a significant increase was obtained. Prior to the training, 8% of the training participants had a good understanding, 15% had sufficient understanding, and 77% had a poor understanding of using Mendeley Desktop in writing scientific papers. After the training, 62% of the participants had a very good understanding. 23% of participants have good understanding, the other 15% of participants have sufficient understanding. Thus, it can be concluded that the Mendeley Desktop application training was successful in carrying out knowledge transfer to the trainees.

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 Amran Shidik, Muhammad 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 Debora Chrisinta Dian Grace Ludji Elfrida Nailopo Elin, Lailin Hijriani Elisabet Ersamayori Foeh Elisabeth E Mayori Elizio Victor De Araujo Erlina, Nia Ferdinandus Mone Ferdinandus Mone Fetronela Rambu Bobu Fitriani Fitriani Fitriani Gelu, Leonard Peter Gelu, Leonard Peter Gerhard-Wilhelm Weber Gusti Firda Khairunnisa H. Bete Hendrika Yeni Meti Hijriani, Lailin Hijriani, Lailin Hutubessy, Aditya Ida Bagus Putu Mardana Ida Bagus Putu Mardana Iis Aprianti 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 Maneno, Regolinda Margareta Rodrigues Gomes Maria Brigita Niis Nana Maria Delviana Mali Maria Naimnule Maria Naimnule Maria Naimnule Marselinus Banu Melkisedik Bukifan 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 Ni Wayan Sukerti Nia Erlina 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 Ulia Rita Sila, Vinsensia 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 Yuni Astriani Dewi, Ni Putu Zulkaidah Nur Ahzan Zulkaidah Nur Azhan

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