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Pengujian Pertumbuhan Bibit Anggur Melalui Pemberian Pupuk Menggunakan Rancangan Acak Lengkap Dimas Arza Nugraha; M. Fajar Alif; Nova Oktavia Sitinjak; Rini Sartika; Sudianto Manullang; Putri Maulidina Fadilah
Interdisciplinary Explorations in Research Journal Vol. 2 No. 3 (2024)
Publisher : PT. Sharia Journal and Education Center

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Abstract

This study aims to provide the effect of various types of fertilizer on the growth of grape seedlings using a Completely Randomized Design (CRD). The study was conducted with five fertilizer treatments, namely NPK, White KNO₃, Magnesium, Humic Acid, and Compost, and four applications for each treatment, resulting in a total of 20 experimental units. The planting medium used was soil with a neutral pH, according to the optimal conditions for grape growth. The parameters observed were the length of the grape seedlings measured using a measuring instrument. The results of the analysis of variance (ANOVA) showed that fertilizer administration had a significant effect on the length of the grape seedlings. Duncan's further test divided the treatments into three groups, with NPK fertilizer giving the best results, achieving an average seedling length of 164.25 cm, followed by White KNO₃, Humic Acid, and Magnesium with similar results but not significantly different. Compost fertilizer produced the lowest seedling length of 93.75 cm. Based on these findings, NPK fertilizer is recommended to increase the growth of grape seedlings optimally.
Pengaruh Harga Produk dan Layanan Terhadap Inflasi di Kabupaten Deli Serdang Menggunakan Metode Rancangan Acak Kelompok Lengkap (RAKL) Achmad Fajri Romadhoni; Ayu Widya Sari; Ega Ananda br Sembiring; Ishak Munawar; Sudianto Manullang; Putri Maulidina Fadilah
Interdisciplinary Explorations in Research Journal Vol. 2 No. 3 (2024)
Publisher : PT. Sharia Journal and Education Center

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Abstract

This research explores the influence of product and service prices on the inflation rate in Deli Serdang Regency, using the Complete Randomized Block Design (RAKL) method. The data used includes the inflation rate of eight categories of goods and services reported by the Central Statistics Agency during the period January to June 2024. The results of variance analysis show that neither the goods/services category factor nor product prices have a significant influence on the inflation rate in the research period. This study provides initial insight into the relationship between prices and inflation and opens up opportunities for further research with broader data coverage and additional variables.
Penerapan Rancangan Acak Lengkap dalam Penilaian Cara Mengajar (Studi Kasus: Jurusan Matematika FMIPA Unimed) Dewi Lowisa Br Purba; Indah Febriani Sagala; Nagita Adella; Reski Augustian. S; Sudianto Manullang; Putri Maulidina Fadilah
Interdisciplinary Explorations in Research Journal Vol. 2 No. 3 (2024)
Publisher : PT. Sharia Journal and Education Center

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Abstract

This research aims to evaluate the effectiveness of lecturers' teaching methods in the Mathematics Department, FMIPA, Medan State University (Unimed) using a Completely Randomized Design (RAL) approach. This method allows controlled testing of variability between groups of students, with a sample of 60 students selected at simple random. Data was collected through a questionnaire that measured student perceptions of teaching methods, followed by analysis using ANOVA. The research results show that the teaching methods applied have a significant influence on student learning outcomes, with differences between groups detected through statistical tests. This research provides recommendations for adopting more effective teaching methods in improving the quality of education in the academic environment.
ENHANCING LQ45 STOCK PRICE FORECASTING USING LSTM MODEL Sinaga, Marlina Setia; Iskandar, Said; Manullang, Sudianto; Arnita, Arnita; Marpaung, Faridawaty; Buulolo, Fatizanolo
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 20 No 1 (2026): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol20iss1pp0427-0438

Abstract

Stocks listed in the LQ45 index represent companies with high liquidity, large market capitalization, and strong fundamentals, making them pivotal to the movements of the Indonesian capital market. This study selects eight LQ45-listed stocks from the energy and mining sectors, as well as the banking sector. Historical data spanning a 10-year period from February 28, 2015, to February 28, 2025. This research aims to mitigate the impact of stock market dynamics, a significant challenge for investor decision-making. The Long Short-Term Memory (LSTM) method was employed to forecast stock prices using four variables: opening, highest, lowest, and closing prices. The LSTM architecture was chosen because its gated memory cells can effectively capture long‑term dependencies and nonlinear patterns in financial time series, thereby aligning with the research objective of minimizing forecasting error under volatile market conditions. Evaluation results using the Mean Absolute Percentage Error (MAPE) showed prediction errors below 2.5%, indicating relatively low forecasting error. Root Mean Squared Error (RMSE) values varied depending on stock price volatility. Companies exhibiting higher stock prices, such as Indo Tambangraya Megah Tbk (ITMG), demonstrate larger RMSE values. For opening prices, predictive accuracy was notably strong, with MAPE values consistently below 1.26%. This suggests that opening prices, influenced by pre-market sentiment and historical data, are more stable and easier to predict compared to other price variables.
Analisis Rata-Rata Pengeluaran Makan Siang Mahasiswa Prodi Statistika-24 Universitas Negeri Medan Menggunakan Teknik Simple Random Sampling Dwi Heri Efrilia; Feby Florensia Stepahni Sihotang; Josafath Artur Situngkir; Putri Maulidina Fadilah; Sudianto Manullang
Journal of Innovative and Creativity Vol. 5 No. 2 (2025)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v5i2.1280

Abstract

Pengeluaran makan siang merupakan bagian penting dari kebutuhan harian mahasiswa, terutama bagi mahasiswa perantau yang harus mengatur keuangan secara mandiri. Penelitian ini bertujuan untuk menganalisis rata-rata pengeluaran makan siang mahasiswa Program Studi Statistika 2024 di Universitas Negeri Medan. Metode yang digunakan dalam pengambilan sampel adalah Simple Random Sampling (SRS), yaitu setiap anggota populasi memiliki peluang yang sama untuk terpilih menjadi sampel. Populasi sebanyak 83 orang dengan sampel sebanyak 69 responden. Data yang dikumpulkan didapatkan dari wawancara secara langsung dan dengan kuesioner online yang disebarkan kepada responden secara acak. Hasil penelitian menunjukkan bahwa terdapat variasi dalam pengeluaran makan siang mahasiswa yang dipengaruhi oleh beberapa faktor seperti pilihan tempat untuk makan, kebiasaan konsumsi, dan kondisi ekonomi masing-masing mahasiswa yang berbeda-bedan. Penelitian ini diharapkan dapat menjadi dasar dalam memahami pola konsumsi mahasiswa serta memberikan masukan bagi pihak kampus dalam merancang kebijakan atau program yang mendukung kesejahteraan mahasiswa.
Analisis Kesulitan Mahasiswa Program Studi Statistika Angkatan 2024 Universitas Negeri Medan Dalam Mengerjakan Tugas Mini Riset Aisyah Novianti; Elisabeth Putri Dayanti; Emily Theresia Silaen; Nia Rizkita Tambunan; Sudianto Manullang; Putri Maulidina Fadilah
Journal of Innovative and Creativity Vol. 5 No. 2 (2025)
Publisher : Fakultas Ilmu Pendidikan Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/joecy.v5i2.1324

Abstract

Students of the Statistics Study Program often face difficulties in completing mini research projects, which are an essential part of project-based learning. This study aims to analyze the difficulties experienced by Statistics students at Universitas Negeri Medan (UNIMED), specifically the 2024 cohort, in conducting their mini research assignments. A descriptive quantitative approach was used. Data were collected through questionnaires and interviews, with 69 students selected using a simple random sampling technique. The questionnaire instrument was tested for validity and reliability. The results showed that all items were valid, and the reliability coefficient of 0.753 indicated that the instrument was consistent and reliable. The analysis revealed that students primarily struggled with understanding statistical concepts, processing data using statistical software, and writing structured research reports. These findings highlight the need for additional guidance in both methodological and technical aspects of mini research. This study is expected to serve as an evaluation reference for lecturers and study programs to improve the quality of research-based learning in higher education. Keywords: Learning Difficulties, Mini Research, Statistics Students, Validity, Reliability.
Penggunaan K-Means Clustering untuk Segmentasi Tokoh Politik Berdasarkan Potensi Kepemimpinan Di Sumatera Utara Tambunan, M. Ananda Rizki; Idrus, Said Iskandar Al; Indra, Zulfahmi; Rangkuti, Yulita Molliq; Manullang, Sudianto
ALACRITY : Journal of Education Volume 6 Issue 1 Februari 2026 | IN PRESS
Publisher : LPPPI Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52121/alacrity.v6i1.986

Abstract

Penelitian ini membahas penerapan algoritma K-Means Clustering untuk mengelompokkan tokoh politik di Sumatera Utara berdasarkan potensi kepemimpinan mereka. Permasalahan yang diangkat meliputi kesenjangan pembangunan antarwilayah, kompleksitas evaluasi kandidat, serta keterbatasan metode penilaian tradisional yang cenderung subjektif. Data yang digunakan merupakan data sekunder dari KPUD Sumatera Utara, Kemendagri, dan media sosial, dengan tiga variabel kuantitatif utama: tingkat pendidikan, pengalaman kepemimpinan, dan tingkat elektabilitas. Proses analisis meliputi normalisasi data, penentuan jumlah klaster optimal menggunakan metode elbow, dan penerapan algoritma K-Means untuk menghasilkan pengelompokan tokoh politik. Hasil penelitian menghasilkan beberapa klaster dengan karakteristik berbeda yang dapat memberikan gambaran profil kepemimpinan potensial di Sumatera Utara. Penelitian ini diharapkan dapat menjadi referensi objektif bagi masyarakat dan pemangku kepentingan dalam pengambilan keputusan politik, sekaligus memberikan kontribusi teoretis terhadap penerapan machine learning dalam analisis politik lokal.
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