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NUCLEUS: Jurnal Sains dan Teknologi
Published by Neolectura
ISSN : -     EISSN : 27463869     DOI : https://doi.org/10.37010
Core Subject : Science,
Chemistry Computer Science & IT Library & Information Science Materials Science & Nanotechnology Physics
Nucleus is a journal published by Neolectura, issued two times in one year. Nucleus is a scientific publication media in the form of conceptual paper and field research related to science and technology studies. It is hoped that Nucleus can become a media for academics and researchers to publish their scientific work and become a reference source for the development of science and knowledge.
Arjuna Subject : Umum - Umum
Articles 92 Documents
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Analisis Bibliometrik Vector Error Correction Model Santika, Putri Aura; Saputro, Dewi Retno Sari; Kurdhi, Nughthoh Arfawi
NUCLEUS Vol 5 No 1 (2024): NUCLEUS
Publisher : Neolectura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37010/nuc.v5i1.1541

Abstract

Analisis Bibliometrik adalah teknik kuantitatif untuk menganalisis literatur ilmiah hal ini mencakup penghitungan jumlah publikasi, analisis sitasi, dan penemuan tren penelitian. Analisis bibliometrik berguna dalam memahami serta mengklasifikasikan dokumen yang diterbitkan dan bisa menjelaskan perkembangan yang sedang berlangsung serta penelitian baru terkait topik yang ditentukan. Alat pemetaan yang dapat digunakan adalah VOSviewer untuk memvisualisasikan peta grafis bibliometrik. Artikel ini bertujuan memberikan arah atau landasan terhadap penelitian selanjutnya terkait vector error correction model (VECM). Penelitian ini merupakan studi pustaka dengan menggunakan pengumpulan data bibliometrik yang berfokus pada topik terkait vector error correction model (VECM), langkah penelitian yang dilakukan adalah menentukan kata kunci pencarian, penelitian pencarian awal, penyempurnaan pencarian, penyusunan statistik data, dan analisis data. Data diperoleh dari laman Scopus dalam rentang tahun 2009 hingga 2023. Dari data tersebut diperoleh publikasi terbanyak pada tahun 2023 sejumlah 585 publikasi. Setelah dilakukan visualisasi menggunakan VOSviewer diketahui berbagai istilah pada vector error correction model (VECM) yang sering muncul dan berkaitan dengan variabel lainnya.
Potensi Limbah Padat Kelapa Sawit sebagai Bahan Bakar Pembangkit Listrik Tenaga Uap pada Pabrik Kelapa Sawit Erivianto, Dino; Dani, Ahmad
NUCLEUS Vol 5 No 1 (2024): NUCLEUS
Publisher : Neolectura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37010/nuc.v5i1.1542

Abstract

This research aims to analyze the potential electric energy contained in the by-products and processed waste of palm oil. Biomass derived from palm oil by-products can serve as an alternative source of energy, with potential calorific value to generate electricity from boilers or as renewable energy. While solid waste from palm oil by-products is commonly utilized as boiler fuel and fertilizer, it holds promise as a renewable energy source in its entirety. The research process includes problem identification, formulation, determination of research objectives, literature review, field surveys, primary data collection through observation and interviews, data analysis, and presentation of research results. Field observations from several visited palm oil mills reveal that solid waste by-products typically consist of 5-7% shell, 11-14% fiber, and 20-22% Empty Fruit Bunches (EFB) per ton of processed Fresh Fruit Bunches (FFB). Considering the maximum electricity requirement for processing 30 tons/hour and the potential electrical energy contained in each waste type, utilizing fiber waste alone as boiler fuel is sufficient, offering a potential electrical energy of 542.1 kW. Any excess electrical power generated (580 kW) by the boiler can be sourced from shell waste, enabling surplus electricity to be sold to external parties. With the surplus electrical power estimated at 130 – 70 kW/hour, operating for 20 hours per day yields a surplus of 1.4 – 2.6 MW/day from processing. The calorific value of solid palm oil waste is notably affected by its moisture content. Proper management of fiber waste utilization can effectively fulfill the energy needs of palm oil mills. Additionally, there is potential to sell approximately 648 – 686 kW of electrical energy externally, derived from shell waste and EFB.
Penerapan Fungsi Transfer Multi-Input pada Data Curah Hujan di Maluku Indriati, Sela Putri; Saputro, Dewi Retno Sari; Widyaningsih, Purnami
NUCLEUS Vol 5 No 1 (2024): NUCLEUS
Publisher : Neolectura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37010/nuc.v5i1.1551

Abstract

Intensitas curah hujan yang terlalu tinggi dapat mengakibatkan banjir di Maluku. Intensitas curah hujan di Maluku juga sangat dipengaruhi oleh kondisi suhu permukaan laut di perairan Samudera Hindia dan Samudera Pasifik. Pada pertengahan tahun 2022 dan 2023, banjir di Maluku menyebabkan rumah warga terendam, akses jalan rusak, dan jembatan penghubung putus. Pada penelitian ini dilakukan penerapan fungsi transfer multi-input pada data curah hujan di Maluku. Data penelitian ini merupakan data sekunder. Data yang digunakan terdiri atas 73 data pada bulan Agustus 2017 sampai Agustus 2023. Fungsi transfer dapat mengetahui hubungan dan pengaruh antara input dengan output dalam suatu periode waktu. Fungsi transfer multi-input digunakan untuk memahami bagaimana input berkontribusi terhadap output. Curah hujan berperan sebagai output dan suhu, kelembapan udara, serta kecepatan angin berperan sebagai input. Berdasarkan hasil penelitian, input memengaruhi output sehingga fungsi transfer multi-input yang terbentuk menghasilkan nilai MAPE sebesar 16.42%. Nilai tersebut dapat disimpulkan jika fungsi tersebut akurat.
Dampak Kecerdasan Buatan (AI) terhadap Pola Pikir Cerdas Mahasiswa di Pontianak Faisal, Muhammad
NUCLEUS Vol 5 No 1 (2024): NUCLEUS
Publisher : Neolectura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37010/nuc.v5i1.1684

Abstract

This research examines the impact of artificial intelligence (AI) on the growth mindset of students in Pontianak. AI has become a revolutionary technology applied in education, such as adaptive learning systems, virtual assistants, and automated assessment tools that provide real-time feedback. The use of AI has the potential to enhance critical and analytical thinking skills, as well as encourage students to develop a more open and adaptive mindset. However, this research also found that excessive reliance on AI can hinder the development of deep thinking and creativity among students, with a tendency to seek quick solutions instead of engaging in exploratory thinking. Through a mixed-methods approach that combines quantitative and qualitative methods, this research identifies the positive and negative impacts of AI on students' mindsets. Quantitative analysis shows that the use of AI enhances thinking flexibility, while qualitative interviews indicate a potential decrease in motivation for independent thinking due to technology dependence. This research offers strategic recommendations for the wise use of AI in education, in order to maximize its benefits without diminishing students' cognitive abilities.
Analisis Perancangan dan Value- Added Sistem Informasi Pemasaran Pada PT Global Kapital Investama Berjangka Oktaviani, Anggi; Cornellia, Riri; Widayani, Hapsari
NUCLEUS Vol 5 No 02 (2024): NUCLEUS
Publisher : Neolectura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37010/nuc.v5i02.1702

Abstract

Tujuan penelitian ini adalah untuk mengetahui proses, perancangan, dan menciptakan value-added sistem informasi pemasaran di PT Global Kapital Investama Berjangka. Data yang digunakan adalah data primer. Metode pengumpulan data berupa observasi langsung ke objek penelitian yaitu PT Global Kapital Investama Berjangka. Hasil penelitian yaitu proses pemasaran di perusahaan ini menggunakan system yang manual. Prosedur sistem informasi pemasaran ini diawali dengan client menanyakan informasi kepada sales administrasi/pegawai PT Global Kapital Investama Berjangka terkait informasi mengenai cara melakukan investasi pada Perusahaan ini. Informasi yang ditanyakan oleh client dilakukan dengan media elektronik. Informasi tersebut ditampung oleh sistem dan setelah data tersebut di masukkan ke sistem, informasi itu diterima dengan baik oleh client dan akhirnya client tertarik melakukan investasi pada perusahaan ini. Client selanjutnya melakukan pendaftaran dan selanjutnya sales melakukan follow up kembali kepada client mengenai data diri yang masih harus diisikan lagi karena data diri ini sangat detail dan dibutuhkan data yang lebih valid. Client disuruh membuat sebuah akun email dan passwordnya. Setelah akun tersebut dibuat, akun tersebut harus di verifikasi dan verifikasi akun dilakukan dengan diberikan melalui sebuah link dan dikirimkan kepada e-mail client dan client harus melakukan verifikasi data dengan membuka link yang diberikan. Data diri client yang baru kemudian diajukan kepada wakil pialang dan wakil pialang akan membuatkan form pembayaran pertama (top-up) yang harus dilakukan oleh setiap client yang baru. Selanjutnya, client melakukan pembayaran pertama kali dan bukti pembayaran diberikan kepada wakil pialang. Wakil pialang lalu meneruskan datanya kepada sales untuk dibuatkan kuitansi pembayaran. Setelah semua proses dilalui, data diri client dan laporan pembayaran client (laporan) diberikan kepada manager untuk di cek dan di approved. Lalu laporan tersebut disimpan di dalam sistem yang telah dirancang. Penulis melakukan rancangan sistem menggunakan alur data flow diagram (DFD). Setelah semua hal dilalui, proses selanjutnya adalah menggambarkan rancangannya secara sederhana.Terlihat perbedaan jumlah biaya antara sistem lama dan baru yang cukup signifikan. Pada sistem lama jumlah yang dikeluarkan dalam jangka waktu tiga bulan adalah Rp 2.273.097.914,- sedangkan sistem baru dalam jangka waktu tiga bulan adalah Rp 1.206.150.000,-. Biaya yang dihasilkan pada sistem baru terlihat lebih rendah daripada sistem lama karena terdapat pengurangan pemakaian alat tulis kantor seperti kertas, tukang servis komputer, dan install ulang komputer. Perbedaan jumlah tersebut di karenakan adanya proses penambahan nilai yang diberikan oleh sistem baru.
PPengaruh Keingintahuan Dan Minat Belajar Siswa Terhadap Hasil Belajar Kimia Sman 1 Cariu Kabupaten Bogor Yunia, Dewi
NUCLEUS Vol 5 No 02 (2024): NUCLEUS
Publisher : Neolectura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37010/nuc.v5i02.1755

Abstract

Tujuan penelitian ini adalah untuk menyelidiki pengaruh keingintahuan dan minat belajar terhadap hasil belajar kimia kelas XI di SMAN 1 Cariu, Kabupaten Bogor. Keingintahuan dan minat adalah dua dari banyak variabel yang mungkin memengaruhi pembelajaran. Penelitian ini menggunakan teknik analisis regresi secara kuantitatif. Pendekatan pengambilan sampel secara acak digunakan dalam proses pengambilan sampel. Skala psikologis yang terdiri dari 45 butir instrumen dimanfaatkan sebagai alat penelitian untuk mengumpulkan informasi tentang keingintahuan dan minat belajar dari 57 siswa. Instrumen tes digunakan untuk mengumpulkan informasi tentang hasil belajar siswa mata pelajaran kimia, sedangkan instrumen kuesioner digunakan untuk mengukur keingintahuan dan minat siswa dalam belajar. Penilaian formatif menggunakan pertanyaan deskriptif tentang konten ikatan kimia digunakan untuk mengukur hasil belajar dalam domain kognitif. Keingintahuan dan minat belajar diukur menggunakan kuesioner yang menggunakan skala Likert dengan opsi respons untuk selalu (SL), sering (SR), kadang-kadang (KD), dan tidak pernah (TP). Pada penyekoran pernyataan favorable “selalu” diberi skor 4, “sering” diberi skor 3, “kadang-kadang” diberi skor 2, dan “tidak pernah” diberi skor 1. Sedangkan pernyataan yang bersifat unfavorable, “selalu” diberi skor 1, “sering” diberi skor 2, “kadang-kadang” diberi skor 3, dan “tidak pernah” diberi skor 4. Teknis analisis data yang digunakan adalah uji regresi berganda. Temuan penelitian menunjukkan bahwa: 1) minat belajar mempengaruhi hasil belajar siswa sebesar 97,1% dengan signifikansi 0,000; 2) rasa ingin tahu mempengaruhi hasil belajar siswa sebesar 99,2% dengan signifikansi 0,000; dan 3) rasa ingin tahu dan minat belajar keduanya mempengaruhi hasil belajar siswa sebesar 98% dengan signifikansi 0,000.
Analisis Bibliometrik Model Regresi Spline untuk Pemetaan Tren dan Pengembangan Strategi Penelitian Menggunakan VOSviewer Al Barra, Andre Fajry; Saputro, Dewi Retno Sari; Widiyaningsih, Purnami
NUCLEUS Vol 5 No 02 (2024): NUCLEUS
Publisher : Neolectura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37010/nuc.v5i02.1760

Abstract

Bibliometric analysis is a quantitative method used to measure and analyze scientific literature. This technique involves the collection and analysis of publication data, such as journal articles, books, and conferences, to evaluate and understand patterns of scientific communication, research productivity, author collaboration, journal impact, and trends within a scientific field. Bibliometric analysis has a limitation in that it is challenging to visualize effectively, necessitating the use of software for proper visualization. Therefore, this article discusses bibliometric analysis on spline regression for trend mapping and strategy development using VOSviewer software. The research results show that the visualization of spline regression keywords with VOSviewer can help in understanding patterns of relationships between variables, research trends, and network structures in scientific literature. Based on the analysis results, bibliometric analysis on spline regression can be visualized in trend mapping, which can aid in planning further research strategies, including identifying collaboration opportunities and underexplored research areas.
PEMODELAN DATA HARGA EMAS DENGAN SUPPORT VECTOR REGRESSION DAN KERNEL LINEAR, POLYNOMIAL, RADIAL BASIS FUNCTION Sena, Arya Bima; Saputro, Dewi Retno Sari; Kurdhi, Nughthoh Arfawi
NUCLEUS Vol 5 No 02 (2024): NUCLEUS
Publisher : Neolectura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37010/nuc.v5i02.1767

Abstract

Investment is a commitment of funds or other resources made with the goal of obtaining profits in the future. Gold is one of the commodities favored by investors because of its relatively stable value. Although relatively stable, gold prices experience fluctuations, which introduce risks associated with gold investments. The pattern of gold prices can be mathematically modeled using Support Vector Regression (SVR). SVR finds a function as a hyperplane (separating line) in the form of a regression function that fits all input data with an error and minimizes it as much as possible. SVR enables a balance between data fitting and overfitting through the use of kernel functions. The pattern of gold prices and SVR is the main focus of this research, aiming to model gold prices effectively. Furthermore, SVR seeks to obtain a hyperplane (regression function) that fits all input data by minimizing errors. The gold price modeling results using SVR indicated that the best model was obtained with a linear kernel, showing an error of 0.73% with parameters C = 10^(-4) and ? = 10^(-4). This implies the model's strong ability to follow data patterns accurately, resulting in highly reliable forecasting.
Analisis Penerapan Strategi Komunikasi Efektif dalam Marketing Public Relations di CV Inti Motor Solo Yuliana, Margaretha Evi; Maharani, Chicha Adita; Khoirudin, Ibnu
NUCLEUS Vol 5 No 02 (2024): NUCLEUS
Publisher : Neolectura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37010/nuc.v5i02.1769

Abstract

The development number of motorize vehicle users is increasing. This makes the automotive business have promising business prospects. The high level of business competition requires each company to create the best business strategy to win market competition. This research aims to determine the implementation of effective communication strategies in marketing public relations at CV. Inti Motor Solo. This research was conducted qualitatively descriptively and data was collected through observation and interview at CV. Inti Motor Solo. The results of the research indicate that marketing public relations activities at CV. Inti Motor Solo are still focused on activities to build consumer loyalty. Marketing Public relations activities carried out include the installation of company identity banners, information services, and consumer loyalty programs. Overall, marketing public relations activies at CV. Inti Motor Solo have implemented effective communication strategies well which include respect, emphaty, audible clarity, and humble.
RELATIONSHIP OF NEUTROPHIL LYMPHOCYTE RATIO WITH APPENDICITIS INCIDENCE Review of Appendicitis Patients at Ibnu Sina Hospital, Gresik Regency in 2022-2023 Rahman, Akhmad Setyo; Harijanto, Taufan; Marsetio, Dono; Negara, Agung Kusuma; Fadhilah, Nur Lailatul
NUCLEUS Vol 5 No 02 (2024): NUCLEUS
Publisher : Neolectura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37010/nuc.v5i02.1776

Abstract

This study aims to analyze the relationship between the neutrophil lymphocyte ratio (NLR) and the incidence of acute appendicitis in patients at Ibnu Sina Hospital, Gresik Regency, in the 2022-2023 period. Acute appendicitis is a frequent emergency surgical condition, especially in adolescents and young adults, with the risk of complications such as perforation and peritonitis. NLR, as an indicator of inflammatory response, is considered more practical and economical than CT scans and ultrasounds, which have limited cost, accessibility, and risk of radiation exposure. This study used an observational analytical method with a cross-sectional approach on 51 appendicitis patients who underwent appendectomy. NLR data was obtained through routine blood results, with statistical analysis using SPSS to test the normality and difference in NLR values between uncomplicated appendicitis and appendicitis with complications. There was a significant difference in the mean NLR value between patients with complementary and non-complementary appendicitis, with a p < value of 0.001. The results of the ROC Curve analysis show that NLR has a high prediction value in predicting complementary appendicitis of 97.5%. This study concludes that NLR can be an effective indicator in distinguishing cases of complementary and non-complementary appendicitis and the potential of NLR as an easy and efficient screening tool in the treatment of acute appendicitis, especially in health facilities with limited resources.

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