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Manullang, Sudianto
Universitas Negeri Medan
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Pengaruh Model Problem Based Learning terhadap Kemampuan Berpikir Kritis Matematis Siswa SMP Fannisa Rahmadani; Sudianto Manullang
ALFIHRIS : Jurnal Inspirasi Pendidikan Vol. 2 No. 4 (2024): Oktober: Jurnal Inspirasi Pendidikan
Publisher : Sekolah Tinggi Ilmu Syariah Nurul Qarnain Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59246/alfihris.v2i4.994

Abstract

The aim of this research is to find out whether there is an influence of the PBL model on students' mathematical critical thinking abilities in class VIII students at MTsN 2 Medan for the 2023/2024 academic year, by seeing whether the mathematical critical thinking abilities of students who are guided by the PBL model are higher than students' mathematical critical thinking abilities. who are guided through conventional learning models in the topic of flat-sided geometric figures (cubes and blocks). This research uses a type of quasi-experimental research. The sample for this research was class VIII-2 with 30 students as the experimental class taught using the PBL model and class VIII-3 with 30 students taught using the conventional model. The test instrument uses pre-test and post-test questions in the form of descriptions of 4 questions which are aligned with indicators of mathematical critical thinking abilities and have been validated. Before testing the hypothesis, a data normality test was first carried out using the Liliefors test and a data homogeneity test using the F test. After being given treatment, the PBL class obtained an average value of 90.42 and the conventional class obtained an average value of 79.82. From the results of one party t-test calculations, the results of the hypothesis test t-count > t-table are 4.5875 > 1.672, so it can be concluded that H0 is rejected or Ha is accepted. Thus, there is an influence of the PBL model on students' critical thinking abilities, where the critical mathematical thinking abilities of students taught using the PBL model are higher than the critical mathematical thinking of students taught using conventional learning models on flat-sided geometric material (cubes and blocks) in class VIII MTsN 2 Medan Academic Year 2023/2024.
ANALISIS WAKTU TIDUR TERHADAP PENGARUH INDEKS PRESTASI MAHASISWA KELAS PSM 2020 A MENGGUNAKAN UJI MANN WHITNEY Tarigan, Dandi Rifa'i; Panggabean, Natanael; Manullang, Sudianto; Nadia Amalia, Sisti
NUMBERS : Jurnal Pendidikan Matematika & Ilmu Pengetahuan Alam Vol. 2 No. 1 (2024): January - March
Publisher : CV. ADIBA AISHA AMIRA

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

Abstract

This study aims to analyze the influence of sleep duration on students' academic performance using the Mann-Whitney U test. Sufficient sleep duration plays a vital role in maintaining one's health and academic achievement. The data was collected from a sample of PSM class of 2020 at a state university of medan. The data was divided into two groups based on sleep duration: a group with less than 7 hours of sleep and a group with 7 hours or more of sleep. The Mann-Whitney U test was employed to compare the total ranks of the two groups in the dataset. The results of the study revealed a correlation between sleep duration and students' academic performance. If the calculated U value is lower than the critical U value at the determined significance level, the null hypothesis is rejected, indicating a significant difference in academic performance between the two sleep duration groups. This study provides insights into the importance of maintaining sufficient sleep duration to support students' academic achievement. It is hoped that this research can serve as a reference for improving sleep quality and academic performance among students.
Analisis Sistem Antrian Pada Masa Pasca Covid’19 Dengan Model Multi Channel-Multi Phase Dalam Optimalisasi Pelayanan Nasabah Bank BRI Unit Aek Kanopan (Labura) Desrinawati Tindaon; Sudianto Manullang
Student Scientific Creativity Journal Vol. 1 No. 3 (2023): Mei : Student Scientific Creativity Journal
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/sscj-amik.v1i3.1357

Abstract

Administrative and banking services at PT. Bank BRI Unit Aek Kanopan (Labura) has 2 services consisting of teller services and customer service services. Teller services and customer service services often experience queues of customers coming and making service transactions. This study aims to determine the optimal level of the queuing system for teller service and customer service with the help of C Sharp application. This study discusses the shape of the queuing model. The queuing model used is Multi Channel-Multi Phase with the control notation type (M/G/2)∶ (FIFO/∞/∞). The Multi Channel-Multi Phase model is a multi-stage multiple-line queuing system method. With a FIFO (First in first out) service pattern, namely first come first served earlier and earlier out. The results of this study are based on the results of calculating arrival patterns and service time patterns, there are 2 parts to the research results consisting of teller services and customer service services. In teller service, the average customer arrival (λ) is 1.48 customers per minute, the average customer that can be served (μ) is 5.12 customers that can be served per minute, and the average level of service intensity ( ρ) is 3.78 < 1. Furthermore, in customer service, the average customer who comes (λ) is 0.83 customers who come per minute, the average customer who can be served (μ) is 0.01035 customers that can be served per minute, and the average level of service intensity (ρ) is 0.015 < 1. Based on the results of the analysis of the queue system for teller service and customer service, it can be concluded that the optimal level of teller service and customer service can be said to be sufficient effective and optimal. In order to make the service more effective, add one service line or service facilities for both services.
Analisis Survival Kaplan Meir Penyakit Dispepsia Di Kota Aceh Dengan Uji Log Rank Ginting, Sindi Rahmadhani; Situmorang, Audrey; Simanjuntak, Natalia Anggriani; Manullang, Sudianto; Farhana, Nurul Ain
Innovative: Journal Of Social Science Research Vol. 4 No. 6 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i6.16573

Abstract

Analisis survival adalah metode statistik untuk mempelajari waktu hingga terjadinya peristiwa tertentu, seperti waktu sembuh dari penyakit, yang dalam penelitian ini diterapkan pada pasien dispepsia di Kota Aceh dengan dimempergunakan metode Kaplan-Meier dan Uji Log Rank. Fokusnya mengestimasi fungsi survival pasien, mengetahui masa penyembuhan pasien Dispepsia di kota Aceh, serta mengevaluasi perbedaan signifikan dalam fungsi survival berdasarkan jenis kelamin dan usia. Informasi yang dianalisis merupakan data sekunder yang diperoleh dari Dinas Kesehatan Kota Aceh. Temuan penelitian mengindikasikan bahwa estimasi fungsi survival pasien dispepsia kota Aceh dengan mengikuti rumus S(t) = (1 – F(t)) x , dengan median waktu sembuh di Aceh Tamiang adalah 4 hari. Waktu sembuh pasien perempuan berusia <50 tahun (kurang dari usia 50 tahun) memiliki waktu sembuh dengan median 12 hari, sedangkan untuk waktu sembuh pasien laki-laki berusia <50 tahun (kurang dari usia 50 tahun) memiliki "Rata-rata waktu penyembuhannya adalah 7 hari. Pasien Perempuan dengan rentang usia >50 tahun (lebih dari 50 tahun) memiliki median waktu sembuh 5 hari sedangkan pasien laki-laki berusia >50 tahun (lebih dari usia 50 tahun) dengan median masa pemulihan berlangsung selama 4 hari. Uji log rank mengindikasikan bahwa perbedaan signifikan tidak ditemukan dalam fungsi survival antara pasien berusia di bawah dan di atas 50 tahun (p = 0,6), yang berarti usia tidak memengaruhi secara signifikan waktu pemulihan pasien dispepsia.
ANALISIS FAKTOR PENYEBAB PENYAKIT JANTUNG MENGGUNAKAN METODE PRINCIPAL COMPONENT ANALYSIS (PCA) Manullang, Sudianto; Kairani, Nerli; Sinaga, Marlina Setia; Hutapea, Brian; Nadya, Fauza; Br Barus, Jesika Casadae Wanda; Tamara, Angga; Silaban, Dewi Fortuna
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 5 No. 3 (2024): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v5i3.732

Abstract

Factor analysis is an important method in research to identify the underlying structure of complex data. Heart disease is a disease caused by a disturbance in the coronary blood vessels that causes narrowing and blockage so that it can interfere with the body's energy transportation process and also cause an imbalance between oxygen demand and oxygen supply. Various factors such as age, gender, smoking, etc. have an important role for a person to get heart disease. This study aims to analyze the factors that cause heart disease using the Principal Component Analysis (PCA) method. PCA is used to identify and reduce the dimensions of heart disease factor data. The data used in this study were obtained from journals and consisted of 7 variables. PCA successfully identified 2 main factors that explained 75% of the total variance in the data. Through dimensionality reduction, the number of variables was successfully reduced from 7 factors to 2 factors without significant information loss. This study found that the PCA method was effective in reducing the dimensionality of the data and identifying the main factors underlying the data.
Analisis Perbandingan Pengeluaran dan Penghasilan Pedagang Pasar Sukaramai & MMTC dengan Para Penjual Kaki Lima yang Berada Dikawasan Universitas Negeri Medan Putri Maulidina Fadilah; Sudianto Manullang; Angelica Carolina Tambunan; Hanafi Irsyad Pulungan; Lirana Sapriani Gulo; Naomi Febrina Sitompul
JURNAL RISET RUMPUN MATEMATIKA DAN ILMU PENGETAHUAN ALAM Vol. 4 No. 1 (2025): April : Jurnal Riset Rumpun Matematika dan Ilmu Pengetahuan Alam
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurrimipa.v4i1.5422

Abstract

This study aims to examine and compare the expenditure and income patterns between traditional market traders in Sukaramai Market and MMTC with street vendors operating around the State University of Medan (UNIMED). This study is based on the main differences between the two groups, especially related to business legality, sales location, and operational costs, which have the potential to affect business effectiveness and the economic welfare of the actors. The comparative quantitative method was used to collect data through questionnaires and Simple Random Sampling sampling techniques on 45 respondents, consisting of 30 market traders and 15 street vendors. The collected data were then analyzed using statistical inference techniques to obtain accurate and reliable parameter estimates. The results of the study show that market traders have an average income of IDR 9.37 million with expenses of IDR 6.7 million per month, so that the net profit obtained reaches IDR 2.67 million. Meanwhile, street vendors have an average income of IDR 7.2 million and expenses of IDR 5.53 million, so that their net profit is around IDR 1.67 million. Although market traders' expenses are higher, they still get a greater net profit. This study confirms that business location, legality, and management system factors significantly affect the efficiency and economic success of traders. This finding is very relevant as a basis for formulating fair and sustainable policies for empowering the informal sector, especially for small and micro traders in urban areas, in order to optimally improve their economic welfare.
PREDIKSI JUMLAH KUNJUNGAN WISATAWAN ASIA TENGGARA KE INDONESIA MENGGUNAKAN RANTAI MARKOV DAN IMPLIKASINYA TERHADAP KESEJAHTERAAN KELUARGA LOKAL DI DAERAH PARIWISATA Cecilia Br Parangin-angin; Tambunan, Combest Prajogo; Nia Devi Friskauly; Sitorus, Novita Atika; Zalianti, Retno Ayu; Manullang, Sudianto; Nasution, Alvi Sahri
Jurnal Keluarga Sehat Sejahtera Vol 23 No 1 (2025): JURNAL KELUARGA SEHAT SEJAHTERA
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jkss.v23i1.55145

Abstract

Tourism is a strategic sector that contributes significantly to the national economy. One important indicator in this sector is the number of tourist visits from countries in Southeast Asia. This study aims to predict the number of tourist visits from countries in Southeast Asia to Indonesia using the Markov chain approach, a stochastic model that relies on the probability of transition between states. The data used is the number of tourist visits in 2024 obtained from the Central Statistics Agency (BPS). The number of visits is classified into three states: low, medium, and high. The analysis process includes the formation of a transition matrix, Markov properties test using the Chi-Square method, and steady state calculation using the Chapman-Kolmogorov equation. The test results show that the data fulfill the Markov properties, and the steady state prediction shows a stable long-term probability distribution of tourist visits.
MODEL GEOMETRIC BROWNIAN MOTION TERMODIFIKASI KALMAN FILTER UNTUK PREDIKSI SAHAM KONSUMEN DAN IMPLIKASINYA TERHADAP STRATEGI INVESTASI KELUARGA DI INDONESIA Handre Gabriel Pinem; Tobing, Rizky Saputra; Dani, Danu Rama; Lubis, Raja Harly Anugrah; Lubis, Rhamanda Ardiyansyah; Manullang, Sudianto; Nasution, Alvi Sahrin
Jurnal Keluarga Sehat Sejahtera Vol 23 No 1 (2025): JURNAL KELUARGA SEHAT SEJAHTERA
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/jkss.v23i1.58614

Abstract

Stock investment is increasingly in demand by investors because of its high profit potential, but predicting stock price movements is still difficult due to its volatile nature. The Geometric Brownian Motion Model (GBM) is commonly used for this purpose, as it captures the stochastic dynamics of stock prices, assuming a normal log-return distribution and constant volatility. However, prediction accuracy decreases over time due to the dynamic nature of the stock market. To improve prediction accuracy, the Kalman Filter is used to iteratively adjust parameters in the GBM model, resulting in a more flexible and accurate forecasting approach. Research by Maulidya et al. revealed that the combination of GBM and Kalman Filter produced a low Mean Absolute Percentage Error (MAPE) of 0.0674%, indicating high prediction accuracy. This study aims to develop a stock price prediction model for PT Unilever Indonesia Tbk (UNVR) using GBM modified with the Kalman Filter, resulting in a model that is more representative and adaptive to market changes. The methodology includes data collection, return calculation, parameter estimation, and model construction, with the results showing a MAPE of 6.8%, outperforming the traditional GBM model. The study concludes that the modified GBM-KF model is effective for short-term prediction, highlighting its ability to adapt to market fluctuations despite challenges posed by non-linearity and extreme market conditions.
Prediksi Jumlah Wisatawan Asing Masuk ke Indonesia Tahun 2026 Menggunakan Model Rantai Markov Anggi Nur Ananda Saragih; Widi Ningsih Panggabean; Melissa Chandra; Agnes Yulia Saragih; Sudianto Manullang; Alvi Sahrin Nasution; Mizan Hasibuan
Griya Journal of Mathematics Education and Application Vol. 5 No. 2 (2025): Juni 2025
Publisher : Pendidikan Matematika FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/griya.v5i2.620

Abstract

Indonesia's tourism sector experienced a drastic decline due to the pandemic, with the number of foreign tourists falling by 64.64% in 2020, disrupting contributions to the country's GDP and foreign exchange. The lack of application of stochastic models to predict foreign tourist arrivals nationwide is a challenge in policy planning. This research aims to build a Markov Chain-based prediction model to estimate the number of foreign tourists in 2026, overcoming the weaknesses of conventional approaches that are deterministic. The method used is the analysis of the probability of transition between states (Increase/Decrease/Stable) based on historical data of tourist arrivals. The prediction results show that the number of foreign tourists in 2026 reached 18,202,215 people, indicating an optimistic growth trend and potential recovery of the tourism sector. The conclusion of this study confirms that the Markov Chain model is effective for macro projection of tourist fluctuations, so that it can be a reference in the preparation of adaptive and data-based tourism policies.
PERBANDINGAN METODE ALGORITMA SUPERVISED NAÏVE BAYES DAN SUPPORT VECTOR MACHINE (SVM) DALAM KLASIFIKASI PENDERITA STUNTING DI KABUPATEN DELI SERDANG Pebrianti, Lidia; Simamora, Elmanani; Manullang, Sudianto; Taufiq, Insan; Chairunisah, Chairunisah
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 3 (2025): JATI Vol. 9 No. 3
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i3.13649

Abstract

Fenomena gizi buruk di Indonesia dipengaruhi oleh kualitas kesehatan sumber daya manusia (SDM) yang rendah, yang umumnya disebabkan oleh konsumsi pangan yang tidak seimbang. Kondisi ini terlihat pada anak-anak yang mengalami gangguan fisik dan psikis akibat kurangnya asupan gizi yang dibutuhkan. Dalam penelitian ini, dilakukan perbandingan antara dua algoritma, yaitu Naive Bayes dan Support Vector Machine (SVM), untuk mengklasifikasikan penderita stunting di Kabupaten Deli Serdang. Penelitian menggunakan dataset dari Dinas Kesehatan Deli Serdang, dengan jumlah data sebanyak 422 sampel. Data tersebut dibagi menjadi beberapa split, yaitu 60:40, 70:30, 80:20, dan 90:10, untuk melihat performa masing-masing algoritma pada proporsi pembagian data yang berbeda. Hasil penelitian menunjukkan bahwa akurasi klasifikasi menggunakan Support Vector Machine (SVM) lebih tinggi daripada dengan hasil Naive Bayes. Dari pengujian variansi, didapati bahwa Support Vector Machine (SVM) memiliki variansi sebesar 2,87%, sementara Naive Bayes menunjukkan variansi sebesar 28,35%. Hal ini menandakan bahwa Support Vector Machine (SVM) lebih konsisten kinerjanya di berbagai pembagian dataset. Dengan kata lain, Support Vector Machine (SVM) tidak hanya lebih akurat tetapi juga lebih stabil dalam performanya dibandingkan dengan Naive Bayes, menegaskan keunggulannya sebagai metode yang lebih andal untuk kasus klasifikasi stunting ini.
Co-Authors Abdurahman Abdurrahman Achmad Fajri Romadhoni Adiva, Cut Tasya Adrianto, Ilham Agnes Yulia Saragih Aisyah Novianti Alvi Sahrin Nasution Ameliya, Ameliya Anastasya Carity S, Disty Angelica Carolina Tambunan Anggi Nur Ananda Saragih Annisa Hidayah Anshari, Farhan Aqil, Muhammad Fachri Aritonang, Anggi Pasha Arnita Arnita Aulia Putri Br. Manurung Aulia, Ilmi Aulia, Widi Ayu Lestari Sihombing Ayu Widya Sari Azizi, Muhammad Farhan Azmi, Khoiriyati Bakti Ulina Lumbangaol Botrina Adisti Simangunsong Br Barus, Jesika Casadae Wanda Buulolo, Fatizanolo Cahaya Destia Regar Cahya Chosya Carles Syahputra Hulu Cecilia Br Parangin-angin Chairunisah Chairunisah, Chairunisah Chandra, Melissa Christine Simatupang Clara Jocelyn Harefa Dani, Danu Rama Desrinawati Tindaon Dewi Lowisa Br Purba Diah Ayu Lestari DIdi Febrian Dilla Nurfadiah Dimas Arza Nugraha Dinda Meyliana Dinda Putri Namira Harahap Dita Aryani Dwi Heri Efrilia Ega Ananda Br Sembiring Eldora, Felicia Elisabeth Putri Dayanti Emily Theresia Silaen Erlinawaty Simanjuntak Fachrihz Effendy Fadilah, Putri Maulidina Fannisa Rahmadani Febi Hijriana Feby Florensia Stepahni Sihotang Felicia Eldora Femi Ezrani Siantur Ginting, Puspa Arinda Ginting, Sindi Rahmadhani Gultom, Ledy Meva Tiurma Hanafi Irsyad Pulungan Handayani, Silvia Mariah Handre Gabriel Pinem Hanifah Rusydah Hasibuan, Eka Sri Hartini Hasibuan, Valen Silvana Hutabarat, Reinaldo F.M Hutabarat, Reinaldo Fernandes Matheus Hutapea, Brian Hutasoit, Elizabeth Indah Febriani Sagala Ira Selvia Ritonga Irvina Abelia Harahap Ishak Munawar Ivena Simanjuntak Josafath Artur Situngkir Kairani, Nerli Kanaya, Nayla Yasyra Kanaya, Niquita Sepha Karin Aulia Putri Kasih Simbolon Khoiriyati Azmi Lirana Sapriani Gulo Lubis, Hafiz Khalik Lubis, Raja Harly Anugrah Lubis, Revan Kurniawan Lubis, Rhamanda Ardiyansyah M. Fajar Alif M. Shadri Ismaun Lubis M.E. Ernawati Siregar Manihuruk, Oliver Juan Manihuruk, Oliver Juan Gery Manullang, Maria Ayuni Isabella Manullang, Nurul Ain Farhana Marpaung, Faridawaty Melissa Chandra Mizan Hasibuan Muthiah, Ade Naila N Simanjuntak, Christina Nadia Amalia, Sisti Nadya, Fauza Nagita Adella Nainggolan, Millenia Naomi Febrina Sitompul Nasution, Alvi Sahri Nasution, Alvi Sahrin Nasution, Tri Annisya Aini Nia Devi Friskauly Nia Rizkita Tambunan Niska, Debi Yandra Nova Oktavia Sitinjak Novan Setyadi Nur Maulidya Rizky Nurhasanah - Siregar Nurjannah, Annisa Nurkhalizah, Rezeki Nursani Salsabillah Akza Nurul Ain Farhana Nurul Ain Farhana Panggabean, Natanael Pardomuan - Sitompul Pasaribu, Jansperi Pebrianti, Lidia Piliang, Yumna Khairi Amani Pulungan, Zakiy Maulana Purba, Rut Omega Putri Aisyah Putri Maulidina Fadilah Putri Maulidina Fadilah Raihan Riyadi Siregar Reski Augustian. S Revan Kurniawan Lubis Rifka Annaria Sibuea Rini Sartika Risa Rozzaqi Rambe Rotua Evelyn Tesalonika Sinambela Said . Iskandar Saragih, Agnes Yulia Saragih, Anggi Nur Ananda Saribu, Fransisco Dolok Siagian, Yerikho Aprilio Siahaan, Daniel Tingkos Sianturi, GiaColin Alfaro Samuel Sibarani, Mikhael Agus Tua Siboro, Alio Hutaperi Sihombing, Sri Yuni Utari Silaban, Dewi Fortuna Simamora, Elmanani Simanjuntak, Christina N Simanjuntak, Natalia Anggriani Simbolon, Taing Pebrieni Simorangkir, Tri Gustini Sinaga, Marlina Setia Sisti Nadia Amalia Sitanggang, Agnes Miranda Sitanggang, Santa Falare Sitorus, Novita Atika Situmorang, Audrey Situmorang, Ruth Remita Asianna Talitha Nakhwan Hasibuan Tamara, Angga Tambunan, Combest Prajogo Tambunan, M. Ananda Rizki Tarigan, Dandi Rifa'i Taufiq, Insan Tia Ramadani Tobing, Rizky Saputra Tri Annisya Aini Nst Tumanggor, Abednego Pradja Turnip, Leoni Fristy Wahyu Indra Syahputra Wibowo, Anastasya Putri Widi Ningsih Panggabean Widya Narti Lubis Witri Wardani Hulu Yoan Olivia Sirait Yolanda Ulyartha L. Tobing Yulita Molliq Rangkuti Zalianti, Retno Ayu Zulfahmi Indra, Zulfahmi