cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Suwanto Raharjo
Contact Email
wa2nlinux@yahoo.com
Phone
+62274866124
Journal Mail Official
jnanaloka@yahoo.com
Editorial Address
Jl. Mulungan Baru, Mulungan Wetan, RT 07, RW 17, No. 130, Mlati, Sleman, Yogyakarta, 55285 Telp. 0274-866124
Location
Unknown,
Unknown
INDONESIA
JNANALOKA
Published by Lentera Dua Indonesia
ISSN : 27227332     EISSN : 27222896     DOI : https://doi.org/10.36802/jnanaloka.2020.v1-no1
Core Subject : Science, Education, Social, Engineering,
Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences Transportation Other
JNANALOKA merupakan jurnal ilmiah berbasis blind peer review dan open access terbit mulai tahun 2020 dipublikasikan oleh Lentera Dua Indonesia. Jurnal terbit sebanyak 2 (dua) kali dalam setahun yakni bulan Maret dan September. Redaksi Jurnal JNANALOKA menerima artikel ilmiah orisinil lintas bidang ilmu yang memiliki fokus namun tidak terbatas pada bidang sains dan teknologi baik tingkat dasar, menengah, dan tinggi lintas dan multi disiplin ilmu. JNANALOKA juga menerima artikel yang didasarkan pada penelitian ilmiah secara umum.
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 5 Documents
 1 
Search results for , issue "Vol. 02 No. 02 September Tahun 2021" : 5 Documents clear
Skrining pranikah untuk pencegahan thalassemia mayor yang efektif dan efisien. Danang Kastowo; Alif Syaiful Huda; Andy Saputra; Erna Setyowati
JNANALOKA Vol. 02 No. 02 September Tahun 2021
Publisher : Lentera Dua Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36802/jnanaloka.2021.v2-no2-45-52

Abstract

Thalassemia is a hereditary disease that cannot be cured and requires continuous blood transfusion for major sufferers. The main preventive measure of thalassemia is to identify carriers of the trait and prevent the birth of another thalassemia major baby. Inferential data analysis, with data sampling on the total population (data of patients with thalassemia major) and used to draw a conclusion. The research method used is a quantitative method, namely by counting the number of patients with thalassemia major in Indonesia, then grouping based on marital status, age of the patient, and health insurance services that have been used. The results showed that thalassemia major patients at the age of ready to marry (20-30 years old) were still very high, so premarital screening activities needed to be carried out to prevent the decline of thalassemia major in children.
Penerapan metode analytical hierarchy process dan simple additive weighting dalam pengambilan keputusan siswa berprestasi pada sekolah menengah kejuruan. Aulia Tegar Rahman; Sitti Muhartini; Astika Wulansari; Rizky Amirullah Hasiani; Arif Baktiar
JNANALOKA Vol. 02 No. 02 September Tahun 2021
Publisher : Lentera Dua Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36802/jnanaloka.2021.v2-no2-63-71

Abstract

Vocational High School is a formal education unit that organizes vocational education that prepares students, especially to work in certain fields. In determining students who excel in certain fields, it is necessary to have a decision support system to improve the quality of decisions in determining students who excel from the highest average score. However, using the highest average score does not get optimal results because it is not adjusted to the existing needs in determining outstanding students. In this study, it can be used as a reference in making decisions for outstanding students by applying the Analytical Hierarchy Process and Simple Additive Weighting methods. The steps taken are: Data collection, Data Preprocessing, Ranking and Comparison of Results between Analytical Hierarchy Process, Simple Additive Weighting with manual weighting results. The results of the ranking comparison show that there are 6 students with the top ranking who are recommended to be outstanding students in the linguistic group.
Analisis Sentimen dan Pemodelan Topik Untuk Mengidentifikasi Topik Pandemi Covid-19 Pada Media Sosial Twitter menggunakan Naïve Bayes Classifier dan Latent Dirichleat Allocation Herjuna Ardi Prakosa; Riyanto; Siti Nasiroh
JNANALOKA Vol. 02 No. 02 September Tahun 2021
Publisher : Lentera Dua Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36802/jnanaloka.2021.v2-no2-73-78

Abstract

\The Corona virus or Covid-19 is of particular concern around the world. Many people talk about this virus through posting comments and opinions on Social Media. Twitter is one of the social media that is currently still widely used by the public to convey opinions in the form of a collection of words called tweets. Tweets related to the topic of Covid-19 can be classified using the Topic Modeling method to produce a data topic that is often discussed by Twitter users. One of the algorithms used to perform Topic Modeling is using Latent Dirichleat Allocation(LDA). In this study, LDA was used to find out what words appeared in the tweets about Covid-19 that the public had uploaded via Twitter. Before the tweet data is modeled with LDA, sentiment analysis is carried out first with the Naïve Bayes Classifier to produce Positive, Negative and Neutral sentiments.    
Pemodelan basis data untuk laporan penjualan wholesale kendaraan mobil. Aam Shodiqul Munir; Rifqi Anugrah; Nurul Ilma Hasana Kunio; Elisabeth Christina Sari; Rizal Sapta Dwi Harjo
JNANALOKA Vol. 02 No. 02 September Tahun 2021
Publisher : Lentera Dua Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36802/jnanaloka.2021.v2-no2-79-85

Abstract

GAIKINDO or the Association of Indonesian Automotive Industries is a non-profit company or organization engaged in the automotive industry. A company can be said to be successful or not, it can be seen from one point of view, namely sales to the company. Sales is one of the important things for the company because it can support the company's growth. Due to the development of the times, the competition between companies is getting tougher, companies are required to be more creative in marketing their products, one way is to carry out a promotional activity to the public to convey the existence of products in the market. Every product that is sold must have product characteristics so that it can attract the attention of buyers. This study aims to analyze sales data at the GAIKINDO company to find out which of the categories, brands, specifications and others are the reasons for buyers to buy a car during the pandemic in January to December 2020. In addition, this study also aims to perform data modeling using car sales wholesale data obtained from GAIKINDO in January 2020 to December 2020. And to facilitate the search for car sales information based on specifications, brands and other categories. In data analysis using several data modeling techniques, namely sitemap and data flow diagram modeling to design the flow of the data to be modeled.
Penerapan transfer learning pada convolutional neural networks dalam deteksi covid-19. Buyut Khoirul Umri; Visq Delica
JNANALOKA Vol. 02 No. 02 September Tahun 2021
Publisher : Lentera Dua Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36802/jnanaloka.2021.v2-no2-53-61

Abstract

The Covid-19 pandemic has become a serious problem in the world, including Indonesia, until now, the virus that emerged at the end of 2019 is still a serious problem. The number of cases of infected people continues to increase and reaches more than two hundred million cases worldwide. To carry out this rapid test, it did not run smoothly but experienced many obstacles experienced by the Medical team, one of which was the limitation of the Covid-19 test kit, so scientists took other diagnostic steps. In the field of informatics, scientists use several diagnoses, one of which is X-ray images of the lungs. CXR images are currently often used for the detection process using the CNN algorithm. This research uses transfer learning method which will be tested in large and small scale datasets. The best result of all the models tested is MobileNet with an accuracy of 98.11% which was tested on a large-scale dataset and the lowest was obtained by ResNet50 which was tested on a small-scale dataset with an accuracy of 41.94%. The large-scale dataset also shows improved accuracy across all tested transfer learning models.

Page 1 of 1 | Total Record : 5

 1 

Filter by Year

2021 2021


Reset
Filter By Issues
All Issue Vol. 04 No. 02 September Tahun 2023 Vol. 04 No. 01 Maret Tahun 2023 Vol. 03 No. 02 September Tahun 2022 Vol. 03 No. 01 Maret Tahun 2022 Vol. 02 No. 02 September Tahun 2021 Vol. 02 No. 01 Maret Tahun 2021 Vol. 01 No. 02 September Tahun 2020 Vol. 01 No. 01 Maret Tahun 2020