cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Hamzah Robbani
Contact Email
info@neolectura.com
Phone
+6285975423413
Journal Mail Official
nucleus@neolectura.com
Editorial Address
PT Naraya Elaborium Optima Graha Mampang 3rd Floor Suite 305 Mampang Prapatan Raya Kav-100 Pancoran, South Jakarta 12760
Location
Unknown,
Unknown
INDONESIA
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 90 Documents
 1   2   3   4   5 
Digital Modul IPA Terpadu berbasis Tematik dengan Pokok Bahasan Penyelaman Indica Okyranida; Ria Asep Sumarni
NUCLEUS Vol 2 No 2 (2021): NUCLEUS
Publisher : Neolectura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37010/nuc.v2i2.467

Abstract

Digital module is a module that can be opened using gadgets, the appearance of modules such as sheets of books. This digital module is created using the Flip Pdf Builder application. Digital module Integrated dive theme is made with sound explanation material and learning video in accordance with the theme of diving. . Voice recordings of explanations of the material on this digital module can be listened to by students, so that students not only read but can listen to the material. Explanatory sound can be set if you do not want to listen to the sound, can click the sound icon so that the sound is off. Digital modules are more interesting because there are explanatory videos that can help students in understanding diving materials. The video connects to the youtube link when we click on the youtube icon. The youtube video is adapted to the materials that match the theme of the dive.
Implementasi Metode Filter Kalman dalam Memprediksi Curah Hujan yang Diperoleh Melalui Model Arima di Kota Jambi Mellyani Aprilia; Nayla Desviona
NUCLEUS Vol 2 No 2 (2021): NUCLEUS
Publisher : Neolectura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37010/nuc.v2i2.607

Abstract

In the last three years the climatic conditions in Jambi City have experienced erratic weather conditions. One way to predict rainfall is using the Kalman Filter approach. However, in this case, the Kalman Filter method is implemented on the forecasting results from ARIMA (Autoregressive Integrated Moving Average) because there has been rainfall measurement data from 2008 to 2017 at the BMKG Muaro Jambi Climatology Station which is also a function of time and the existing pattern will be described with using Time Series Analysis. Time series data is data that has a time series of more than one year on one object or data collected from time to time on one object. ARIMA model will be used to predict the next data. Kalman filter is a model part of state space that can be applied in forecasting models. The Kalman filter consists of a prediction stage and a correction stage. This method uses a recursive technique to integrate the latest observational data into the model to correct previous predictions and make further predictions. This study aims to determine the implementation of the kalman filter method in predicting rainfall obtained through the ARIMA model in Jambi City. The results of the 2018 Jambi City rainfall prediction research show that the best ARIMA model formed is the ARIMA model (1,0,1). In the Kalman Filter model, a MAPE value of 24.92% is obtained, which indicates that the Kalman Filter has a fairly good predictive ability.
Prediksi Curah Hujan Menggunakan Fuzzy Time Series Adhi Susano; Wulan Anggraeni
NUCLEUS Vol 2 No 2 (2021): NUCLEUS
Publisher : Neolectura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37010/nuc.v2i2.619

Abstract

Flood is one of the problems faced by DKI Jakarta Province. To be able to reduce losses caused by flooding is to predict rainfall. The type of research is quantitative research using rainfall prediction method using Fuzzy Time Series (FTS) which was developed by Stevenson & Porter (2009). The data used is rainfall data at Kemayoran Station in the period January 2018 to December 2020. The prediction accuracy results state that the FTS method has poor accuracy so that improvements are needed in the formation of interval intervals.
Usulan Perbaikan Antrean Truck Pengangkut TBS di Weight Bridge PT Nirmala Agro Lestari dengan Software Promodel Riri Cornellia
NUCLEUS Vol 2 No 2 (2021): NUCLEUS
Publisher : Neolectura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37010/nuc.v2i2.629

Abstract

Queue often causes some problems, one of which is inefficiency in time and expense. PT Nirmala Agro Lestari is endeavoring to optimize the line of TBS truck transports on weight bridge. If the queue at weight bridge PT Nirmala Agro Lestari is going on constantly will result in its slow delivery of TBS to the production area and affect the quality of production. To avoid this, companies conduct queue simulations in order to determine whether the queue system is efficient or should be implemented as an adjustment. PT Nirmala Agro Lestari has always been trying to reach consumer demand targets, with production capacity of 60 tons/hour. The study used the method of queue theory by creating a model of queue simulations based on actual conditions using the promodel. The data on this study is from the TBS transport queue to the weight bridge of PT Nirmala Agro Lestari. The simulation steps on this research was to design an optimum model of line simulation with promodel and test the proposed model for a line model by calculating the workload of TBS trucks. Model modifications are needed because there is still a queue of buildup in the TBS weight bridge loading process. At weight bridge at 90,95%, there is high activity at weight bridge because of the time of service and the frequency of trucks over at the high harvest time that gives trucks a long line of time to enter the production process. The addition of weight bridge to two units shows a utilisation drop on the entry road to the weight bridge from 71.34% to 22.82%, and 90,95% to 62.30%.
Peningkatan Loyalitas Pelanggan pada PT Home Center Indonesia Menggunakan Metode Algoritma C4.5 dan Metode CSI (Customer Satisfaction Index) Riri Cornellia; Anggi Oktaviani; Deny Wibisono
NUCLEUS Vol 3 No 1 (2022): NUCLEUS
Publisher : Neolectura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37010/nuc.v3i1.636

Abstract

PT Home Center Indonesia atau Informa merupakan sebuah perusahaan perabot dimulai dari perabot rumah, kantor, hingga perabot ruang komersial. Tujuan penelitian ini untuk mengetahui jumlah respons pelanggan yang puas dan tidak puas dalam pelayanan jasa yang diberikan perusahaan perabot dan mengetahui faktor yang mempengaruhi kepuasan dan loyalitas untuk menyesuaikan pelayanan jasa yang diharapkan pelanggan. Dengan memberikan peningkatan loyalitas terhadap pelanggan dan menggunakan metode yang tepat, untuk mengukur seberapa peningkatan kepuasan dan loyalitas konsumen menggunakan metode data mining, Algoritma C4.5 dan CSI (Customer Satisfaction Index) yang menggunakan atribut kepuasan dan loyalitas pelanggan dalam penelitian yang mencakup dari harga, fasilitas, pelayanan dan loyalitas. atribut pendukung seperti kepentingan dan kepuasan dari (bukti fisik, kehandalan, empati, daya tanggap, kepastian) Adanya metode ini diharapkan dapat mengatasi masalah yang ada pada perusahaan agar dapat memprediksi dan mengevaluasi untuk terciptanya kepuasan dan loyalitas pelanggan yang diharapkan konsumen sesuai dengan target perusahaan. Hasil penelitian pengambilan responden pada pelanggan hasil dari nilai entropy dan gain sebesar entropy 0.971 dan gain sebesar 0,821 dalam perhitungan Algoritma C4.5. hasil perhitungan tingkat kepuasan pelanggan nilai CSI di PT Home Center Indonesia mendapatkan skor sebesar 42,14% yang berada pada rentang angka nilai indeks kepuasan pelanggan 35 – 50%. Dengan hasil kepuasan pelanggan secara keseluruhan berada pada kriteria “kurang puas”.
Estimasi Tingkat Pengangguran Terbuka di Provinsi Jambi dengan Metode Double Exponential Smoothing Anisa Rahmawati; Nayla Desviona; Tiara Puapita Sari
NUCLEUS Vol 3 No 1 (2022): NUCLEUS
Publisher : Neolectura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37010/nuc.v3i1.675

Abstract

Unemployment is an employment problem that is often faced in every region, especially in Jambi Province.  The indicator used to determine the number of unemployed is the open unemployment rate (TPT).  High unemployment can be a major source of poverty that can lead to crime and hinder the process of economic development.  As an initial precaution for the government before the increase in unemployment, which is to estimate the future TPT in Jambi Province.  One of the methods used in estimating TPT in Jambi Province is the Double Exponential Smoothing Method from Holt.  The measure of the forecast error uses the Mean Absolute Percent Error (MAPE).  The aim is to obtain estimated TPT results in Jambi Province in the coming year, using Holt's Double Exponential Smoothing Method.  The estimation results obtained, for TPT data there is a MAPE value of 18.96% with parameters  = 0.9 and  = 0.2.  The estimation model obtained is = .  The estimation results show that the TPT rate will continue to increase next year, it can be taken into consideration for the government in determining future plans to reduce TPT in order to accelerate economic development in Jambi Province. 
Perancangan Sistem Informasi Akuntansi pada Bunda Laundry Hapsari Widayani
NUCLEUS Vol 3 No 1 (2022): NUCLEUS
Publisher : Neolectura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37010/nuc.v3i1.716

Abstract

Tujuan penelitian ini adalah membuat sistem terkomputerisasi pada Bunda Laundry  yang dapat membantu dalam proses administrasi dan pembuatan laporan keuangan, memudahkan pegawai untuk melihat ketersediaan stock bahan baku yang menunjang proses cuci setrika, membantu pegawai Bunda Laundry  untuk meningkatkan kualitas pelayanan administrasi terhadap pelanggan sehingga dapat meningkatkan penjualan, dan mengetahui proses perancangan sistem informasi akuntansi pada Bunda Laundry . Data yang digunakan adalah data primer. Metode pengumpulan data berupa observasi langsung ke objek penelitian yaitu Bunda Laundry. Metode pengembangan sistem meliputi tahap perencanaan sistem, tahap analisis sistem, tahap perancangan sistem, tahap implementasi sistem, serta tahap pengujian dan penggunaan sistem. Hasil penelitian yaitu proses pelayanan konsumen dan pencatatan pada Bunda Laundry  masih menggunakan sistem yang manual sehingga dibuatkan sistem yang terkomputerisasi. Prosedur pelayanan konsumen dimulai dari konsumen menaruh pakaiannya pada Bunda Laundry  lalu bagian administrasi memberikan kuitansi pembayaran dan setelah itu pakaian konsumen diberikan kepada bagian produksi untuk di proses. Bila sudah selesai konsumen dapat mengambilnya dan membayarnya. Bagian administrasi akan merekap pembayaran tersebut dan membuat laporan keuangan yang akan diperiksa oleh pemilik laundry . Perancangan sistem ini dilakukan dengan mendeskripsikan masalah dan menganalisisnya menggunakan analisis PIECES. Setelah mengetahui kendala yang terjadi pada Bunda Laundry, penulis melakukan rancangan sistem menggunakan alur data flow diagram (DFD) dan membuat database dengan entity relationship diagram (ERD). Setelah semua hal dilalui, proses selanjutnya adalah menggambarkan rancangannya secara sederhana.
Analisis Produktivitas Tenaga Kerja Dengan Metode Field Ratings (Studi Kasus: Pekerjaan Penulangan Pelat Di Proyek Gedung Sudirman Place Jakarta Lantai 1) Delta Perkasa
NUCLEUS Vol 3 No 1 (2022): NUCLEUS
Publisher : Neolectura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37010/nuc.v3i1.744

Abstract

This research is on the activity of each worker at a certain time in plate reinforcement work. The slab reinforcement is the same type from zone I to zone XIV. Each zone has an area of ??8.4x8.4 m2. The plate reinforcement workers consist of 2 groups. Group A consisted of 10 people working from zone I to zone VII for 6 days. Group B consisted of 10 people working on zone VIII to XIV for 6 days. Based on the results of research using the field ratings method, it is known that the average (mean) percent effective time of Group A workers on the 1st to 4th day is 68.72%, the 5th day is 69.02% and the 6th day is 69.06 %. Meanwhile, Group B on the 1st to 2nd day was 68.80%, the 3rd and 4th day was 68.83%, the 5th and 6th day was 68.93%. The total working time for 6 days carried out by workers on the installation of floor slab reinforcement is 540 minutes/person, the average (mean) total effective time of Group A workers is 371.67 minutes/person (68.83%) and the average (mean) ) the total effective time for Group B workers is 371.80 minutes/person (68.85%). So the average (mean) level of labor productivity in Groups A and B for 6 days is satisfactory or effective because the percent of effective time is above 60%. Keywords: Productivity, Labor, Plate Reinforcement, Field Ratings
Penerapan Model Pembelajaran Kooperatif dengan Memanfaatkan Alat Peraga Kotak Determinan Matriks (Kodetik) untuk Meningkatkan Hasil Belajar Siswa Wiharyanti Wiharyanti
NUCLEUS Vol 3 No 1 (2022): NUCLEUS
Publisher : Neolectura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37010/nuc.v3i1.753

Abstract

Penelitian bertujuan untuk mengetahui penerapan model pembelajaran kooperatif untuk meningkatkan aktifitas belajar di kelas XI MIPA SMA N 1 Setu. Metode yang digunakan adalah demontrasi. Hasil dari penelitian menunjukkan bahwa penerapan model pembelajaran kooperatif dalam meningkatkan aktivitas siswa untuk mengembangkan pengetahuan mereka tentang pokok bahasan matriks. Seluruh strategi dan model pembelajaran yang siswa temukan dan di diskusikan menunjukkan bagaimana kontruksi dan kontribusi siswa dapat digunakan untuk membantu permasalahan awal mereka tentang pokok bahasan matriks.
Permodelan Koding pada Penelitian Kualitatif-Studi Kasus Hamzah Robbani
NUCLEUS Vol 3 No 1 (2022): NUCLEUS
Publisher : Neolectura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37010/nuc.v3i1.758

Abstract

penelitian kualitatif pilihan untuk memberikan solusi dari keterbatasan metode kuantitatif dalam mengungkapkan persepsi suatu variabel oleh suatu responden. tujuan penelitian ini adalah untuk memberikan permodelan koding metode kualitatif dengan pendekatan studi kasus yang marak dilakukan peneliti muda untuk memecahkan suatu evaluasi bisnis proses maupun organisasi tempat mereka bekerja. metode penelitian ini menggunakan pendekatan fenomenologi dengan interview dan observasi sebagai teknik pengumpulan data. peneliti mengembangkan permodelan koding dengan tabel yang dapat digunakan peneliti untuk laporan penelitian kualitatif. koding menjadi isu yang menyulitkan peneliti pada metode kualitatif dengan berbagai tahapannya, namun pada penelitian ini dapat dipersingkat cukup dengan tiga tahapan saja

Page 3 of 9 | Total Record : 90

 1   2   3   4   5 

Filter by Year

2020 2025


Reset
Filter By Issues
All Issue Vol 6 No 01 (2025): NUCLEUS Vol 5 No 02 (2024): NUCLEUS Vol 5 No 1 (2024): NUCLEUS Vol 4 No 2 (2023): NUCLEUS Vol 4 No 1 (2023): NUCLEUS Vol 3 No 2 (2022): NUCLEUS Vol 3 No 1 (2022): NUCLEUS Vol 2 No 2 (2021): NUCLEUS Vol 2 No 1 (2021): NUCLEUS Vol 1 No 2 (2020): NUCLEUS Vol 1 No 1 (2020): NUCLEUS More Issue