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Jurnal Sains Student Research
Published by CV Kampus Akademik Publising
ISSN : -     EISSN : 30259851     DOI : https://doi.org/10.61722/jssr.v2i1.552
Core Subject : Education,
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Fokus & Ruang Lingkup Jurnal Sains Student Research (JSSR), ISSN: (cetak), ISSN: (online) adalah jurnal yang ditujukan untuk publikasi artikel ilmiah yang diterbitkan oleh CV. Kampus Akademik Publising . Jurnal Sains Student Research (JSSR) merupakan platform publikasi jurnal Karya suatu hasil penelitian orisinil atau tinjauan Pustaka yang ditulis oleh dosen atau mahasiswa. Ruang lingkup karya yang diterbitkan mencakup Multidisiplin diantaranya yaitu: Manajemen, Ekonomi, Ekonomi Syariah, Akuntansi, Kewirausahaan, Bisnis, Ilmu Sosial Humaniora, Sastra, Bahasa, Pertanian, Kesehatan, Peternakan, perikanan, Politik, Pendidikan, Ilmu Teknik, Sistem Informasi, Teknik Elektro dan Informatika, Desain Komunikasi Visual, Ilmu Komunikasi,Hukum, . Jurnal ini terbit 1 tahun 6 kali (Februari, April, Juni, Agustus, Oktober, Desember)
Arjuna Subject : Umum - Umum
Articles 1,633 Documents
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MANAJEMEN WALI KELAS 1 DALAM MENCIPTAKAN LINGKUNGAN BELAJAR YANG KONDUSIF DI SDN 2 PRINGGA JURANG UTARA Siti Hardila Asmar; Taurinda Mahardiyanti; Athanasia Dian Setiati
JOURNAL SAINS STUDENT RESEARCH Vol. 4 No. 5 (2026): Oktober: Jurnal Sains Student Research
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jssr.v4i5.12741

Abstract

This research is motivated by the importance of effective classroom management in lower grades to ensure a comfortable learning environment. In reality, at SDN 2 Pringga Jurang Utara, the 1st-grade homeroom teacher demonstrates excellent management in creating a conducive learning environment, despite the students' characteristics being in transition from their playtime phase. The purpose of this study is to describe the 1st-grade homeroom teacher's management in creating a conducive learning environment and to identify the impacts of this management in establishing a conducive learning environment. The research method used is descriptive qualitative. Data sources were obtained from the first-grade teacher and students at SDN 2 Pringga Jurang Utara, collected through observation, interviews, and documentation. Data analysis techniques include data reduction, data display, and conclusion drawing to provide an in-depth description of the management practices. The results of the study indicate that the 1st-grade homeroom teacher's management is carried out through dynamic classroom layout planning and a strong personal approach. The impact of this management is proven to significantly create classroom order without eliminating the element of children's playfulness, enhance students' focus and learning comfort, and minimize disruption during activity transitions. Furthermore, this conducive management has a positive impact on the academic readiness of 1st-grade students in absorbing learning materials as well as the optimal formation of disciplined character from an early age.
HUBUNGAN NEUTROPHIL-TO-LYMPHOCYTE RATIO (NLR) DENGAN KADAR HBA1C PADA PASIEN DIABETES MELITUS TIPE 2 DI RUMAH SAKIT UMUM BAHTERAMAS PROVINSI SULAWESI TENGGARA Muthmainnah Pratiwi Putri Papua; Ratna Umi Nurlila; Sanatang Sanatang
JOURNAL SAINS STUDENT RESEARCH Vol. 4 No. 5 (2026): Oktober: Jurnal Sains Student Research
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jssr.v4i5.12742

Abstract

Type 2 diabetes mellitus is a chronic metabolic disease characterized by hyperglycemia and associated with low-grade chronic inflammation. The Neutrophil-to-Lymphocyte Ratio (NLR) is a simple parameter that reflects systemic inflammation, while HbA1c reflects glycemic status over the previous two to three months. This study aimed to determine the relationship between NLR and HbA1c levels among patients with type 2 diabetes mellitus at Bahteramas General Hospital, Southeast Sulawesi Province. This was a quantitative analytic study with a cross-sectional design. The population consisted of 75 patients with type 2 diabetes mellitus during January–March 2026, and 43 respondents were selected using purposive sampling. Data included HbA1c levels, neutrophil counts, and lymphocyte counts; NLR was calculated as the ratio of neutrophil to lymphocyte counts. Univariate and bivariate analyses were performed using Fisher's Exact Test with α = 0.05. The results showed that 39 respondents (90.7%) had increased HbA1c levels (≥5.6%), while 4 respondents (9.3%) were in the normal category (<5.6%). Twenty-seven respondents (62.8%) had low/normal NLR values (<3.0), while 16 respondents (37.2%) had increased NLR values (≥3.0%). Fisher's Exact Test yielded p = 0.279 (p > 0.05). Therefore, there was no statistically significant relationship between HbA1c levels and NLR values among patients with type 2 diabetes mellitus at Bahteramas General Hospital, Southeast Sulawesi Province.
DETEKSI PENIPUAN TRANSAKSI PADA PLATFORM MARKETPLACE MENGGUNAKAN ALGORITMA ISOLATION FOREST Rakha Aryagunawibawa; Puspita Nurul Sabrina; Herdi Ashaury
JOURNAL SAINS STUDENT RESEARCH Vol. 4 No. 5 (2026): Oktober: Jurnal Sains Student Research
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jssr.v4i5.12743

Abstract

The increasing use of marketplace platforms has raised the risk of transaction fraud. Fraud detection is challenging because fraudulent transactions are far less frequent than legitimate transactions, creating an imbalanced dataset. This study analyzes the capability of Isolation Forest for fraud detection, evaluates the influence of preprocessing and hyperparameter settings, and compares its performance with Local Outlier Factor (LOF). The experiment uses the public Fraudulent E-Commerce Transactions dataset from Kaggle containing 1,048,575 transactions: 996,055 legitimate transactions (94.99%) and 52,520 fraudulent transactions (5.01%). The workflow includes data cleaning, feature selection, feature engineering, One-Hot Encoding, StandardScaler, an 80:20 stratified train-test split, baseline modeling, hyperparameter tuning, threshold tuning, evaluation, and comparison with LOF. Isolation Forest is trained in an unsupervised manner, while the Is Fraudulent label is used only as evaluation ground truth. The final configuration uses contamination 0.05, 250 estimators, max_samples 0.80, threshold 0.45, and random_state 42. The model achieves Accuracy 0.9820, Precision 0.8201, Recall 0.8200, F1-Score 0.8200, ROC-AUC 0.9187, and PR-AUC 0.6458. The confusion matrix contains 197,321 True Negatives, 8,613 True Positives, 1,890 False Positives, and 1,891 False Negatives. Isolation Forest outperforms LOF on most metrics, although LOF provides slightly higher Recall. The detection result is intended as an early indicator for transactions requiring further review.
Pemodelan Matematis Konsumsi Daya Belt Conveyor menggunakan Matlab untuk Analisis dan Optimasi Energi Ibnu Rosyid Ridwana; Trisma Jaya Saputra; Raka Mahendra Sulistiyo; Nurmala Dyah Fajarningrum; Arif Rahman Saleh
JOURNAL SAINS STUDENT RESEARCH Vol. 4 No. 5 (2026): Oktober: Jurnal Sains Student Research
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jssr.v4i5.12745

Abstract

Belt conveyor systems are material transport systems that require significant energy; therefore, mathematical models are needed to represent power requirements and energy consumption. This study aims to develop a mathematical model for belt conveyor power consumption based on the ISO 5048 standard and to evaluate its fit against actual data. The research involved modeling and simulation using MATLAB, testing inclination angles of 0°, 3°, 5°, 7°, 10°, 12°, and 15°, while maintaining a constant belt speed of 5 m/s and a conveying capacity of 900 tons/hour. Model parameters were estimated using the Least Square (LS) and Recursive Least Square (RLS) methods and compared with the Buckingham Pi approach. Evaluation was conducted using Goodness of Fit, Residual Error, Predicted vs. Actual analysis, Root Mean Square Error (RMSE), and the Coefficient of Determination (R²). The results indicate that the model effectively represents the actual data. The RLS method yielded the best performance, with an RMSE of 0.8442 and an R² of 0.9561, compared to 0.9603 and 0.9432 for LS, and 0.9751 and 0.9415 for the Buckingham Pi approach. Energy consumption increased from 24.8743 kWh at 0° to 103.47 kWh at 15°. The findings demonstrate that the developed mathematical model aligns with the fundamental concepts of ISO 5048 and is suitable for analyzing the power requirements and energy consumption of belt conveyors under the tested conditions.
LITERATURE REVIEW: HUBUNGAN VARIASI GEN ADIPOQ rs266729 TERHADAP OBESITAS SENTRAL Muhammad Faiz; Citra Maharani; Anggelia Puspasari
JOURNAL SAINS STUDENT RESEARCH Vol. 4 No. 5 (2026): Oktober: Jurnal Sains Student Research
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jssr.v4i5.12751

Abstract

Latar belakang: Polimorfisme ADIPOQ rs266729 diduga memengaruhi regulasi adiponektin dan distribusi lemak tubuh sehingga berpotensi berkaitan dengan obesitas sentral. Metode: Telaah literatur dilakukan pada studi manusia yang menilai ADIPOQ rs266729 dan indikator adipositas sentral, terutama lingkar pinggang dan waist-hip ratio (WHR). Pencarian dilakukan pada PubMed, Google Scholar, ScienceDirect, dan portal jurnal nasional hingga 2025, kemudian hasil disintesis secara naratif. Hasil: Sejumlah penelitian mengaitkan alel G rs266729 dengan kadar adiponektin yang lebih rendah dan perubahan parameter adipositas atau metabolik. Namun, besar dan arah asosiasi berbeda antar populasi. Bukti meta-analitik menunjukkan efek gabungan yang relatif kecil dan belum presisi, sementara beberapa populasi melaporkan asosiasi yang lebih kuat. Kesimpulan: ADIPOQ rs266729 memiliki plausibilitas biologis terhadap obesitas sentral, tetapi bukti langsung terhadap WHR masih heterogen. Studi dengan sampel lebih besar, populasi beragam, dan analisis faktor lingkungan diperlukan.
PREDIKSI FRAUD TRANSAKSI DOMPET DIGITAL MENGGUNAKAN ALGORITMA CATBOOST Mochamad Vikry Firdaus; Puspita Nurul Sabrina; Herdi Ashaury
JOURNAL SAINS STUDENT RESEARCH Vol. 4 No. 5 (2026): Oktober: Jurnal Sains Student Research
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jssr.v4i5.12752

Abstract

The growth of digital transactions via digital wallet and mobile money services has heightened the need for fraud detection systems capable of accurately identifying suspicious transactions. A major challenge in fraud detection is class imbalance, where the volume of fraudulent transactions is significantly lower than that of legitimate ones. This study aims to analyze and compare the performance of Random Forest and CatBoost algorithms in detecting fraud within digital transactions using the PaySim dataset. Random Forest served as the benchmark model, while CatBoost was the primary model evaluated through both baseline configurations and hyperparameter tuning. Class imbalance was addressed using class weighting, and the dataset was partitioned using an 80:20 train-test split combined with stratified sampling. Model performance was evaluated using Accuracy, Precision, Recall, F1-Score, ROC-AUC, and PR-AUC, alongside an analysis of False Positives and False Negatives. The results indicate that while Random Forest achieved a Recall of 98.78%, it produced 18,284 False Positives, resulting in a Precision of 8.15%. The CatBoost Baseline model achieved a Precision of 79.19%, Recall of 85.27%, F1-Score of 82.12%, ROC-AUC of 99.92%, and PR-AUC of 90.93%. Following hyperparameter tuning, the CatBoost Tuned model improved its Recall to 92.08%, ROC-AUC to 99.96%, and PR-AUC to 94.46%, while reducing the number of False Negatives from 242 to 130 transactions; however, Precision dropped to 71.46% and the F1-Score to 80.48%. These findings demonstrate that CatBoost Tuned possesses superior fraud detection capabilities—particularly in maximizing Recall and minimizing False Negatives—whereas CatBoost Baseline offers a better balance between Precision and Recall at the classification threshold used in this study.
Perancangan Dan Implementasi Sistem IoT Mengintegrasikan ESP32, Multisensor, Dan Modul Ping Checker Untuk Monitoring Ruang Server Pada Perusahaan Multi Cabang Secara Realtime Mhd. Adam Nugraha; Mhd. Basri
JOURNAL SAINS STUDENT RESEARCH Vol. 4 No. 5 (2026): Oktober: Jurnal Sains Student Research
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jssr.v4i5.12758

Abstract

Ruang server merupakan pusat pengolahan data yang kondisi lingkungannya harus dipantau secara terus-menerus. Pada PT Media Alvina Sejati yang memiliki beberapa cabang, pemantauan suhu, tegangan listrik, dan konektivitas jaringan masih dilakukan secara manual sehingga gangguan sering terlambat diketahui. Penelitian ini bertujuan merancang dan mengimplementasikan sistem monitoring ruang server berbasis Internet of Things yang mengintegrasikan mikrokontroler ESP32, sensor suhu dan kelembapan DHT22, sensor tegangan ZMPT101B, serta fungsi ping checker berbasis protokol ICMP dalam satu perangkat. Metode yang digunakan adalah research and development. Data sensor dikirimkan ke Firebase Realtime Database melalui jaringan Wi-Fi dan ditampilkan pada dashboard web yang dapat diakses dari jarak jauh untuk beberapa cabang sekaligus. Hasil pengujian menunjukkan error rata-rata pembacaan suhu sebesar 0,86 persen, kelembapan 1,20 persen, dan tegangan 0,30 persen, dengan waktu tunda rata-rata penyajian data sebesar 1,37 detik. Perubahan status konektivitas server terdeteksi paling lama 15 detik setelah gangguan terjadi. Seluruh fungsi dashboard yang diuji menggunakan metode kotak hitam berjalan sesuai rancangan. Sistem ini dapat membantu administrator jaringan memantau kondisi ruang server secara real-time dan terpusat.
Rancang Bangun Website Pemesanan Kue Berbantuan Artificial Intelligence pada Toko Kue Cristin Cake Zakia Zakia; Mahesi Agni Zaus; Delvi Asmara; Erdisna Erdisna
JOURNAL SAINS STUDENT RESEARCH Vol. 4 No. 5 (2026): Oktober: Jurnal Sains Student Research
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jssr.v4i5.12760

Abstract

Perkembangan transaksi digital menuntut pelaku Usaha Mikro, Kecil, dan Menengah (UMKM) untuk beralih dari operasional manual menuju sistem berbasis web yang terstruktur. Toko Kue Cristin Cake menerapkan strategi produksi Make To Order (MTO), di mana produk dibuat berdasarkan pesanan kustom pelanggan. Kendati demikian, proses bisnis yang berjalan masih mengandalkan WhatsApp, sehingga memicu komunikasi yang terfragmentasi, risiko ketidaklengkapan pencatatan spesifikasi kue, perbedaan pemahaman konsep desain, ancaman pesanan fiktif, serta penjadwalan antrean produksi dapur yang belum sistematis. Penelitian ini bertujuan untuk merancang dan membangun sistem informasi pemesanan dan perencanaan produksi kue kustom berbasis web berbantuan Artificial Intelligence (AI) pada Toko Kue Cristin Cake. Metode pengembangan yang digunakan adalah model Waterfall dalam siklus hidup pengembangan sistem (SDLC) yang meliputi tahap analisis kebutuhan, perancangan sistem, implementasi, pengujian, deployment, dan maintenance. Artificial Intelligence diintegrasikan sebagai asisten interaktif percakapan untuk memahami preferensi desain pelanggan dan memberikan rekomendasi referensi kue dari repositori website. Selain itu, pesanan yang terkonfirmasi diprioritaskan secara otomatis ke antrean dapur menggunakan algoritma Earliest Due Date (EDD) berdasarkan batas tanggal pengambilan. Pengujian fungsional sistem dilakukan menggunakan metode Black Box Testing terhadap 21 skenario uji yang mencakup seluruh peran pengguna (Pelanggan, Admin, Karyawan Produksi, dan Owner). Hasil pengujian menunjukkan tingkat keberhasilan 100% pada seluruh fitur fungsional, yang membuktikan bahwa sistem ini efektif dalam menstandarkan alur pemesanan, mempermudah konsultasi desain, serta menstrukturkan manajemen antrean produksi kue kustom.
ANALISIS INVESTASI PADA PEMBANGUNAN PERUMAHAN GRIYA FAHMI RIZKI DENGAN MODEL BISNIS KERJASAMA LAHAN Fajri Dediyansyah; Edy Purwanto; Albani Musyafa; Taufik Dwi Laksono
JOURNAL SAINS STUDENT RESEARCH Vol. 4 No. 5 (2026): Oktober: Jurnal Sains Student Research
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jssr.v4i5.12764

Abstract

The choice of GRIYA FAHMI RIZKI Housing Desa Alue Ie Mameh Kecamatan Kuala Kabupaten Nagan Raya Propinsi Aceh asre searc hobjectwas because the developer have to do investation analysis of economic engineering on to said construction. The housing construction is a project that needs large amount of initial fee (cash outflows) and longer time construction,mean while the income is obtained only after the sales stage (cash inflows) that will happen on the future. Therefore, the calculation for giving out depiction of costs and benefits on the concept of flow of fund is required.The result that happen because said uncertainty condition especially reviewed from economic aspect which willarise in the future. This analysis result certainly usable for receiving worthy decision in the investation by reducing thed is advantage in the future, for creditor and debitor.The high price of land for housing construction is caused by the increasing need for housing for each resident. The housing development profit sharing cooperation agreement between the land owner and the developer is a strategic partnership business model which aims to develop and utilize land owned by the land owner for property development projects by the developer. This agreement involves various aspects, including the distribution of profits, responsibilities and rights owned by each party. In this agreement, the land owner provides land as capital in a property development project, while the developer is responsible for development, planning, construction and marketing of the project.Referring to the background, this final assignment discusses the economic feasibility study of GRIYA FAHMI RIZKI II housing development techniques with Type 36/150 KPR of 70 units with a selling price of IDR 165,000,000 per unit using the discounted cash flow (DCF) method with the Net Present indicator Value (NPV), Benefit Cost Ratio (BCR), Internal Rate of Return (IRR), Break Even Point (BEP), and Pay Back Period (PBP).
Rancang Bangun Game Visual Novel pada Platform Android Menggunakan Unity Engine dengan Fitur Narasi Dinamis Menggunakan Algoritma Decision Tree Muhammad Dafa Raihan Lubis; Farid Akbar Siregar
JOURNAL SAINS STUDENT RESEARCH Vol. 4 No. 6 (2026): Desember : Jurnal Sains Student Research
Publisher : CV. KAMPUS AKADEMIK PUBLISING

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

Abstract

Perkembangan teknologi informasi mendorong pemanfaatan media pembelajaran digital yang lebih interaktif dan menarik. Penelitian ini bertujuan merancang dan membangun game Visual Novel edukasi pada platform Android menggunakan Unity Engine dengan fitur narasi dinamis berbasis algoritma Decision Tree. Game mengintegrasikan materi Pengetahuan Jepang dan Ilmu Teknologi melalui dialog interaktif, sistem pilihan (choice), kuis, Relationship Point, dan empat kemungkinan akhir cerita yang terdiri atas Best Ending dan Normal Ending pada masing-masing jalur pembelajaran. Metode penelitian yang digunakan adalah Research and Development (R&D), sedangkan pengembangan multimedia menggunakan Multimedia Development Life Cycle (MDLC) yang meliputi Concept, Design, Material Collecting, Assembly, Testing, dan Distribution. Pengujian dilakukan menggunakan Black Box Testing dan User Acceptance Test (UAT). Hasil Black Box Testing menunjukkan seluruh fitur yang diuji berjalan sesuai fungsi yang dirancang. Berdasarkan rekapitulasi UAT pada skripsi, 15 responden menghasilkan total skor 537 dari skor maksimum 600 atau 89,5% dengan kategori Sangat Baik. Hasil tersebut menunjukkan bahwa game dapat diterima dengan baik sebagai media pembelajaran interaktif berbasis Android

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