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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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Pengalaman Keluarga Etnis Tionghoa dalam Memberikan Perawatan Paliatif Pasien Kanker di Rumah: Chinese Ethnic Families' Experiences In Providing Palliative Care For Cancer Patients At Home Alexander, Alexander; Felix Jonathan Kusno
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 | DOI: 10.61722/jssr.v4i6.12846

Abstract

Palliative care for terminal cancer patients often faces challenges related to culture and family values, especially in ethnic Chinese communities. Families are the most involved in patient care, yet cultural factors and traditional values influence how they make end-of-life care decisions. The purpose of this study was to explore the experiences of ethnic Chinese families in Medan in providing palliative care to terminal cancer patients at home. This study used a phenomenological approach to explore the experiences of ethnic Chinese families in Medan in caring for terminal cancer patients at home. In-depth interviews were conducted with eight purposively selected participants. The data collected were analysed using the Colaizzi technique to identify key themes in the families' experiences, including the influence of Confucian familial values, perceptions of patient dignity, and challenges in talking about death. The findings of this study provide important insights into the role of cultural values in palliative care decision-making among Chinese families. These results may enrich palliative nursing practice by considering cultural aspects in designing care that is more sensitive and appropriate to the needs of patients and families.
Analisis Kinerja FP-Growth Pada Data Transaksi Servis Sepeda Motor Berdasarkan Segmentasi Transmisi Dan Kategori Layanan Di AHASS RD Nurullail Fathan Qowiyun; Wina Witanti; Melina Melina
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 | DOI: 10.61722/jssr.v4i6.12848

Abstract

This study analyzes the performance of the Frequent Pattern Growth (FP-Growth) algorithm on motorcycle service data based on transmission-type and service-category segmentation at AHASS Roda Motor Cianjur. The dataset consists of 398 observation rows and 13 service items obtained from monthly Dealer Management System records covering August 2024 to February 2026. Following the Knowledge Discovery in Databases framework, the data were cleaned, selected, segmented, and transformed into a binary matrix. A value of 1 was assigned when the service volume exceeded 10, while a value of 0 was assigned when the volume was 10 or less. Five testing scenarios were constructed: combined data, automatic-transmission motorcycles, manual-clutch motorcycles, free services, and paid services. The algorithm was executed using a minimum support of 0.30, a minimum confidence of 0.70, and a lift ratio greater than one. Performance evaluation was conducted in Visual Studio Code using three warm-up runs and 30 measurement repetitions to record execution time and the increase in Resident Set Size. The results show that the combined dataset produced 62 frequent itemsets and 154 association rules. The automatic-transmission motorcycle scenario produced 304 frequent itemsets and 4,642 association rules, while the manual-clutch motorcycle scenario produced seven frequent itemsets and two rules. The free-service scenario generated seven frequent itemsets and 11 rules, whereas the paid-service scenario generated 29 frequent itemsets and 66 rules. The combined dataset recorded a median total execution time of 8.7783 milliseconds and a median memory increase of 0.4141 MB. The automatic-transmission motorcycle scenario had the highest computational load, requiring 44.3190 milliseconds and 3.9023 MB, whereas the manual-clutch motorcycle scenario recorded the lowest execution time of 5.4048 milliseconds and a memory increase of 0.3945 MB. The free-service and paid-service scenarios required 6.1301 milliseconds and 7.2973 milliseconds, respectively. These findings indicate that segmentation produces more specific association patterns but does not always improve computational efficiency. FP-Growth performance is influenced by data density, active item count, frequent itemset count, and association-rule complexity. Therefore, fewer observation rows do not necessarily result in lower computational requirements.
IMPLEMENTASI AUGMENTED REALITY SEBAGAI MEDIA PROMOSI DAN VISUALISASI PRODUK SIKOLOGI KOPI BERBASIS ANDROID MENGGUNAKAN METODE MARKER-BASED TRACKING DENGAN MODEL PENGEMBANGAN SISTEM WATERFALL Kukuh Setiawan; Muhammad Haris
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 | DOI: 10.61722/jssr.v4i6.12849

Abstract

Informasi produk Sikologi Kopi disampaikan melalui media sosial dan daftar menu, tetapi belum menyediakan visualisasi interaktif. Penelitian ini bertujuan mengembangkan aplikasi augmented reality (AR) berbasis Android untuk memvisualisasikan 20 produk melalui satu marker. Pengembangan menggunakan model Waterfall, dengan Unity sebagai platform implementasi dan Vuforia Engine untuk Marker-Based Tracking. Evaluasi meliputi 15 skenario black box, pengujian deteksi berdasarkan jarak, sudut, dan pencahayaan, serta pengujian pada Samsung Galaxy A05s. Seluruh skenario fungsi berstatus berhasil, termasuk navigasi katalog, visualisasi, rotasi objek, detail, favorit, dan berbagi. Marker terdeteksi pada jarak 10, 20, dan 30 cm, tetapi tidak pada 40 dan 50 cm. Pada jarak sekitar 30 cm, deteksi berhasil pada sudut 0°, 30°, dan 45°, tetapi gagal pada 60°. Deteksi berjalan baik pada pencahayaan terang dan normal serta tidak stabil pada kondisi redup. APK berhasil dipasang dan dijalankan pada perangkat uji. Aplikasi dapat menjadi media alternatif penyampaian informasi dan visualisasi produk Sikologi Kopi, dengan kinerja deteksi yang dipengaruhi kondisi pemindaian.
ANALISIS RENDAHNYA MINAT BELAJAR SISWA PADA MATA PELAJARAN MATEMATIKA KELAS IV SD 01 ANJANI KECAMATAN SURALAGA KABUPATEN LOMBOK TIMUR Yupita Yupita; Taurinda Mahardiyanti; Athanasia Dian Setiati
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 | DOI: 10.61722/jssr.v4i6.12855

Abstract

mathematics learning among fourth-grade students at SD 01 Anjani. This situation is evident in the lack of enthusiasm during learning activities, low student engagement during the learning process, and the emergence of the perception that mathematics is a difficult and uninteresting subject. This low interest in learning is influenced by various factors, both internal and external to the students, which affect student engagement in class. This research aims to identify factors contributing to low interest in mathematics learning and to examine the various efforts teachers make to increase student interest. This study used a qualitative approach with descriptive methods. The research subjects included fourth-grade students, class teachers, and the principal. Data were obtained through observation, interviews, and documentation. Subsequently, the data were analyzed through data reduction, data presentation, and conclusion drawing. Based on the research results, it was discovered that low interest in mathematics learning is influenced by several factors, including low student motivation, lack of self-confidence, insufficiently varied learning methods, the use of learning media that is not able to attract students' attention, and an unsupportive learning environment. To address these issues, teachers are taking various measures, such as using more engaging learning media, providing encouragement and motivation to students, and implementing interactive and enjoyable learning to encourage students to be more active in math lessons.
Perancangan Smart Decision NPC Game Turn-Based Menggunakan MLP Dengan MCTS Sebagai Generator Keputusan M. Ryan Prasetya; Muhammad Haris
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 | DOI: 10.61722/jssr.v4i6.12856

Abstract

Gim turn-based membutuhkan Non-Player Character (NPC) yang mampu memilih aksi berdasarkan perubahan kondisi permainan. Keputusan berbasis aturan sederhana dapat menghasilkan perilaku yang mudah diprediksi, sedangkan Monte Carlo Tree Search (MCTS) mampu menghasilkan keputusan yang lebih terarah dengan konsekuensi kebutuhan komputasi dari proses pencarian berulang. Penelitian ini merancang sistem smart decision menggunakan MCTS sebagai generator keputusan dan Multi-Layer Perceptron (MLP) sebagai model yang mengaproksimasi distribusi keputusan tersebut. Penelitian meliputi perancangan gim turn-based, implementasi MCTS terbatas, pembentukan dataset melalui simulasi MCTS melawan MCTS, preprocessing dan embedding, serta pelatihan MLP menggunakan KL divergence. Evaluasi pertama menggunakan 6.894 sampel dan evaluasi kedua menggunakan 15.288 sampel. Hasil menunjukkan bahwa MLP mampu mempelajari sebagian pola keputusan MCTS. Rata-rata akurasi meningkat dari 57,57% menjadi 62,84% pada tiga fase pembelajaran evaluasi pertama. Namun, keterbacaan sinyal keputusan masih rendah dengan mean interpretability sebesar -46,31 dan win ratio MLP sebesar 0,45. Nilai evaluasi berbobot mencapai 27,29 dan belum memenuhi kriteria 60. Pada evaluasi kedua, akurasi terbaik sebesar 54,82%, sehingga penambahan perspektif hero dan data belum meningkatkan generalisasi secara langsung. Meskipun demikian, MLP memiliki mekanisme inferensi yang lebih sederhana karena keputusan dihasilkan melalui satu proses propagasi maju.
RANCANG BANGUN SISTEM SMART SEAT MENGGUNAKAN SENSOR FORCE SENSITIVE RESISTOR (FSR) DAN ESP32 UNTUK PEMANTAUAN SEDENTARY DUDUK SEHAT BERBASIS IOT: Pemantauan Aktivitas Duduk Berbasis Internet of Things Yazid, Muhammad Helmi; Yohanni Syahra
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 | DOI: 10.61722/jssr.v4i6.12857

Abstract

Perilaku sedentari merupakan aktivitas yang dilakukan dalam posisi duduk atau berbaring dalam waktu yang cukup lama dan dapat terjadi dalam aktivitas sehari-hari, khususnya pada kegiatan belajar dan bekerja. Durasi duduk yang terlalu lama tanpa mengeluarkan aktivitas fisik dapat berdampak kurang baik terhadap kesehatan. Oleh karena itu, diperlukan suatu sistem yang dapat membantu menyatukan aktivitas duduk dan memberikan peringatan ketika pengguna telah duduk dalam waktu yang ditentukan. Penelitian ini bertujuan untuk merancang dan membangun sistem Smart Seat menggunakan sensor Force Sensitive Resistor (FSR) dan mikrokontroler ESP32 untuk menggabungkan aktivitas duduk secara otomatis berbasis Internet of Things (IoT). Sensor FSR digunakan untuk mendeteksi adanya tekanan pada permukaan tempat duduk sebagai indikator keberadaan pengguna, sedangkan ESP32 digunakan untuk mengolah data sensor dan mengendalikan sistem peringatan. Sistem dilengkapi dengan buzzer sebagai indikator ketika durasi duduk pengguna telah mencapai batas waktu yang ditentukan. Aktivitas data yang diperoleh dari sistem dapat dikirim melalui koneksi Wi-Fi dan terdeteksi menggunakan platform ThingSpeak sebagai media pemantauan dan penyimpanan data. Hasil perancangan menunjukkan bahwa sistem Smart Seat dapat mendeteksi kondisi pengguna sedang duduk atau tidak berdasarkan tekanan yang diterima sensor FSR serta memberikan peringatan melalui buzzer ketika waktu duduk mencapai batas yang telah ditentukan. Dengan demikian, sistem yang dirancang dapat digunakan sebagai salah satu solusi berbasis IoT untuk membantu memantau perilaku duduk dan meningkatkan kesadaran pengguna agar melakukan jeda atau aktivitas fisik setelah duduk dalam waktu yang terlalu lama.
ANALISIS RESPONS PESERTA DIDIK TERHADAP PENGGUNAAN KAHOOT SEBAGAI MEDIA EVALUASI PEMBELAJARAN AKIDAH AKHLAK DI MAPN 4 MEDAN Annisa Miranda; Isman Efendi Limbong
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 | DOI: 10.61722/jssr.v4i6.12860

Abstract

This study aims to analyze students' responses to the use of Kahoot as an evaluation medium in Akidah Akhlak learning at MAPN 4 Medan. This study employed a quantitative approach with a descriptive method. Data were collected through a questionnaire distributed using Google Forms, consisting of 16 positive statements with a four-point Likert scale. The questionnaire covered four indicators: interest, enjoyment, ease of use, and student engagement. The data were analyzed descriptively by calculating the percentage of scores obtained from 41 respondents. The results showed that the overall percentage of students' responses to the use of Kahoot was 84.15%. Based on each indicator, interest obtained 86.74%, enjoyment 85.06%, ease of use 82.16%, and student engagement 82.62%. These findings indicate that students tended to respond positively to the use of Kahoot as an evaluation medium in Akidah Akhlak learning. Therefore, Kahoot can serve as an alternative interactive evaluation medium while taking into account students' readiness and the availability of supporting facilities.
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN WILAYAH RAWAN KECELAKAAN BERBASIS GIS MENGGUNAKAN METODE AHP DI KECAMATAN DOLOK MASIHUL Istiqomah, Istiqomah; Marah Doly Nasution
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 | DOI: 10.61722/jssr.v4i6.12863

Abstract

Tujuan penelitian ini adalah untuk membuat dan membangun Sistem Pendukung Keputusan penentuan wilayah rawan kecelakaan berbasis Geographic Information System (GIS) mempergunakn metodologi Analytical Hierarchy Process (AHP) di Kecamatan Dolok Masihul, menerapkan metode AHP dalam memberikan substansi keperluan pada tiap-tiap klasifikasi, memberikan hasil pemetaan wilayah rawan kecelakaan di Kecamatan Dolok Masihul, bisa mengedepankan informasi zona rentan kecelakaan. Permasalahan yang melatarbelakangi penelitian ini adalah belum tersajinya informasi zona rentan kecelakaan secara sistematis, terukur, dan mudah dipahami oleh pihak terkait maupun masyarakat. Data kecelakaan lalu lintas dipergunakan pada analisa terkait ialah data Kecamatan Dolok Masihul periode 2021-2025 yang mencakup wilayah kejadian dan jumlah kecelakaan. Metode AHP dipergunakan demi memberikan substansi keperluan terhadap data kecelakaan setiap tahun, sedangkan GIS dipergunakan demi menampilkan hasil analisis pada perwujudan peta digital. Konsep dikuatkan berlandaskan jaringan termasuk dukungan dashboard, file kecelakaan, file wilayah, analisis AHP, hasil ranking, dan peta GIS. Hasil penelitian mencerminkan bahwasannya sistem mampu mengolah data kecelakaan, menghitung bobot prioritas dengan rasio konsistensi yang memenuhi ketentuan, menampilkan ranking wilayah rawan, serta menyajikan peta sebaran wilayah rawan kecelakaan. Wilayah atas taraf kerawanan tertinggi adalah Pekan Dolmas atas score AHP 0,784229 dan kategori sangat rawan. Maka darinya, sistem yang dibangun mampu difumgsikan menjadi media bantu terkait estimasi keutamaan wilayah rawan kecelakaan di Kecamatan Dolok Masihul secara informatif dan mudah diakses.
Desain Arsitektur Presensi Perkuliahan Mahasiswa Stihpada Berbasis QR Code Menggunakan Metode Arsitektur Zachman Framework Eka Putri Nurkumala; Nining Ariati; Dhamayanti Dhamayanti
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 | DOI: 10.61722/jssr.v4i6.12867

Abstract

Lecture attendance is a crucial component in managing academic activities at universities. At STIHPADA Palembang, the manual attendance process often presents challenges such as delays in data recapitulation, the risk of recording errors, and the potential for attendance manipulation. To address these issues, this study aims to design a QR Code-based attendance system architecture using the Zachman Framework approach. The Zachman Framework was chosen because it provides a comprehensive design structure through six perspectives (Planner, Owner, Designer, Builder, Subcontractor, and Functioning System) and six architectural focuses (Data, Function, Network, People, Time, and Motivation). This research resulted in an architectural design that encompasses attendance data modeling, attendance business process flows, attendance application design, technology infrastructure, and system operational rules and policies. The resulting design is expected to serve as a guideline for developing a digital attendance system that is effective, accurate, and secure, and supports the improvement of the quality of academic services at STIHPADA Palembang.
Analisis Faktor-Faktor Yang Mempengaruhi Kepatuhan Prosedur Sanitasi Pada Proses Produksi Fillet Skin-On Kakap Merah Di PT Global Maju Pratama, Maros Andini, Andini; Akmal Abdullah; Ilyas Ilyas
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 | DOI: 10.61722/jssr.v4i6.12895

Abstract

The fish-processing industry faces considerable challenges in safeguarding food safety, particularly during the production of skin-on red snapper fillets, which is highly susceptible to contamination when sanitation procedures are not consistently followed by workers. This study aims to analyze the influence of knowledge, attitude, facilities, and supervision on employee compliance with Sanitation Standard Operating Procedures (SSOP) during the production of skin-on red snapper fillets at PT Global Maju Pratama, Maros, and to identify the most dominant factor. The research was conducted from August to December 2025 using a quantitative approach with a population of 88 production workers and a sample of 40 respondents selected through purposive sampling. Data were collected through Likert-scale questionnaires, observation, interviews, and documentation, then analyzed using multiple linear regression. The results show that knowledge, attitude, facilities, and supervision each have a positive and significant effect on employee compliance, both partially and simultaneously (F = 17.987; Sig. = 0.000), with a coefficient of determination (R2) of 0.673, indicating that the four variables explain 67.3% of the variation in employee compliance. Attitude was the most dominant factor (Beta = 0.384), followed by facilities, knowledge, and supervision. These findings suggest that improving compliance with sanitation procedures in the fish-processing industry requires strengthening positive work attitudes, providing adequate facilities, continuous education, and consistent managerial supervision.

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