cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Muhammad Habibullah Aminy
Contact Email
nusantarahasana@gmail.com
Phone
+6285354430834
Journal Mail Official
nusantarahasana@gmail.com
Editorial Address
BTN Bhayangkara Residence Blok T No. 46, Dusun Dasan Geres, Desa Ranjok, Kecamatan Gunungsari, Kab. Lombok Barat, Provinsi Nusa Tenggara Barat
Location
Kab. lombok barat,
Nusa tenggara barat
INDONESIA
Nusantara Hasana Journal
Published by Yayasan Nusantara Hasana Berdikari
ISSN : -     EISSN : 27981428     DOI : 10.59003
Core Subject : Economy, Humanities, Health, Education, Agriculture,
Agriculture, Biological Sciences & Forestry Humanities Economics, Econometrics & Finance Education Nursing
Nusantara Hasana Journal published a scientific paper original articles of research and community engangement and review of the literature in: Biology, Tourism & Hospitality, Pharmacy, Chemistry, Physics, Mathematics, Education, Medicine , Medical and Health Science, Engineering & Technology, Agriculture, Environmental Science, Animal Science, Animal Husbandary, Veterinary, Forestry, Oceanography, Geography, Earth Sciences, Fisheries Science, Nursing, Law / Criminology, Social Science, Economics, Management, Advertising, Accounting & Finance, Commerce, Art, Library Science, Entrepreneurship, Computer Application, Corporate Governance, Business, Psychology, Sustainable Development, Religious Studies, and other related areas.
Arjuna Subject : Umum - Umum
Articles 1,398 Documents
 69   70   71   72   73 
PENERAPAN ALGORITMA K-MEANS TERHADAP EVALUASI WEBSITE E-COMMERCE Febriyanto A.; Dzulqornain Sabri S. Anggie; Mulyadi, Ida
Nusantara Hasana Journal Vol. 3 No. 12 (2024): Nusantara Hasana Journal, May 2024
Publisher : Yayasan Nusantara Hasana Berdikari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59003/nhj.v3i12.1124

Abstract

Facing large amounts of high-dimensional transaction data, clustering approaches often face challenges that include elasticity, weak high-dimensional data processing capabilities, sensitivity to data order over time, independence from parameters, and the ability to manage noise. These problems can limit a method from producing accurate predictions. Experiments conducted with data samples collected from 50 different mobile phones purchased on Lazada yielded the following results: K-means outperforms Single-pass in evaluating e-commerce transactions because it has higher intra-class dissimilarity and inter-class similarity. K-means clustering is an approach to the effective and flexible organization of large datasets. The results of a clustering algorithm are sensitive not only to the total number of clusters but also to how they were originally arranged. Therefore, it is easy to show that the clustering results are locally optimized. Further research conducted into the elements that influence the number of clusters produced by this method as well as the initial location of clustering centers is a very important endeavor.
ANALISIS SENTIMEN PENGGUNA TWITER MENGGUNAKAN METODE SVM - KNN Upa, Filipus; Nurhalifah
Nusantara Hasana Journal Vol. 3 No. 12 (2024): Nusantara Hasana Journal, May 2024
Publisher : Yayasan Nusantara Hasana Berdikari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59003/nhj.v3i12.1125

Abstract

Sentiment analysis is synonymous with opinion mining, is a type of data mining that refers to the analysis of data obtained from microblogging sites, social media updates, online news reports, user reviews, etc., to study people's sentiments towards an event, organization, product, brand, people and more. In this work, sentiment classification is carried out into several classes. The proposed methodology based on KNN classification algorithm shows improvement over one of the existing methodologies based on SVM classification algorithm. The data used for analysis was taken from Twitter, which is the most popular microblogging site. Source data has been extracted from Twitter. N-Gram modeling technique has been used for feature extraction and k-nearest neighbor supervised machine learning algorithm has been used for sentiment classification. The performance of the proposed and existing techniques is compared in terms of accuracy, precision, and recall. It has been analyzed and concluded that the proposed technique performs better in terms of all standard evaluation parameters.
ANALISIS KEBUTUHAN BAHAN AJAR MATEMATIKA SISWA SMP KELAS VIII Antonius KAP Simbolon
Nusantara Hasana Journal Vol. 3 No. 12 (2024): Nusantara Hasana Journal, May 2024
Publisher : Yayasan Nusantara Hasana Berdikari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59003/nhj.v3i12.1126

Abstract

In its implementation of the Merdeka curriculum to improve students' literacy and numeracy skills. The aim of this research is to determine the needs for mathematics teaching materials for class VIII SMP students in accordance with the independent curriculum. This research is a qualitative descriptive study. The subjects in this research were 30 students in class VIII of SMP N 2 Tanjung Morawa and 2 class VIII mathematics teachers. The sample in this research was obtained using purpose sampling technique. Data collection techniques include interview techniques and questionnaires. The data obtained was then analyzed. The data from the interviews is that students are not yet active in learning, there are limited mathematics teaching materials, the teaching materials used do not support the discovery of mathematical concepts, students are not yet able to understand abstract things in mathematics. The data from the student questionnaire are the learning sources used by students, including the internet 21.20%, textbooks from the government 71.27%, and textbooks from other sources 7.53%. Meanwhile, the questionnaire data on the need for teaching materials desired by students is 11.78% textbooks, 67.58% modules, 7.35% handouts, and 13.29% LKPD. The research results show that mathematics teaching materials are still very limited, students need teaching materials that are easy to understand and can be used independently. Based on the research results, it was concluded that it is necessary to develop realistic-based mathematics module teaching materials, with realistic-based mathematics module teaching materials that can guide students in discovering knowledge independently by relating the material to everyday life.
KETERSEDIAAN RUANG TERBUKA HIJAU DALAM MENSUPLAI KEBUTUHAN OKSIGEN DI WILAYAH KABUPATEN MAGETAN TAHUN 2023 Oktavia Putri Anggraini; Mujiyono; Handoyo; Hurip Jayadi; Amrita Yuli Astuti5
Nusantara Hasana Journal Vol. 3 No. 12 (2024): Nusantara Hasana Journal, May 2024
Publisher : Yayasan Nusantara Hasana Berdikari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59003/nhj.v3i12.1127

Abstract

As is the implementation of ATR/BPN Ministerial Regulation No. 14 of 2022 concerning the Provision and Utilization of Green Open Space which requires green open space to be 30% of the urban area. In 2023, Green Open Space in Magetan Regency will only be 12.5%, namely 2,025.6 Ha from 30%, namely 3,241.6 Ha mandated by the Ministerial Regulation. The type of research is descriptive. The results of the research show that, the results of the analysis of Green Open Space calculations based on Oxygen Needs in Magetan Regency in 2023, obtained a result of 5,846.48 Ha or 36.52%. If the existing available space is 2,025.6 Ha or 12.5%, then it is necessary to add Green Open Space based on oxygen requirements of 3,820.88 Ha or 24.02%. To overcome this shortage, it is necessary to add Green Open Space in the form of conservation and revitalization of existing natural open spaces to improve the quality of existing Green Open Spaces by local governments and the private sector as a commitment to environmental management in the form of allocation of regional land assets for Public and Private Green Open Spaces as well as empowering the community to participate. in increasing the quality and quantity of the importance of Green Open Space.
RELATIONSHIP BETWEEN AGE AND HISTOPATHOLOGICAL TYPE OF MENINGIOMA ACCORDING TO THE WORLD HEALTH ORGANIZATION (WHO) Meta Zulyati Oktora; Ruhsyahadati; Debie Anggraini; Alzeri Fajar Sirfa
Nusantara Hasana Journal Vol. 3 No. 12 (2024): Nusantara Hasana Journal, May 2024
Publisher : Yayasan Nusantara Hasana Berdikari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59003/nhj.v3i12.1128

Abstract

Background: Meningiomas are the second most common intracranial tumors. The 2016 WHO classification divides the histopathological types of meningiomas into benign (WHO grade I) and malignant (WHO grade II or III). Benign meningiomas are characterized by a well-defined mass adhering to the dura mater and compressing the brain, whereas malignant meningiomas, though rare, are aggressive. Age is a factor that could influence the histopathological type of meningiomas, with incidence increasing with age. Meningiomas commonly occur in middle and old age, peaking in the sixth decade. Age is also a prognostic factor in meningioma occurrences. Method: This was an observational analytic study with a retrospective cross-sectional design on the medical records of meningioma patients at the Anatomical Pathology Laboratory of Dr. M. Djamil Padang Hospital from May 2023 to January 2024. The study included a total of 72 patients. Results: The Chi-Square test showed a p value of 0.330 (p>0.05), indicating no significant relationship between age and the histopathological type of meningiomas. Most meningioma patients were ≥40 years old (76.4%) and female (87.5%). The predominant histopathological type was WHO grade I (88.9%), with tumors ≤5 cm in size (65.3%). Conclusions: There is no significant relationship between age and the histopathological type of meningiomas according to WHO criteria.
TATALAKSANA MIOMA UTERI MANAGEMENT OF UTERINE MYOMA Primadella Fegita
Nusantara Hasana Journal Vol. 3 No. 12 (2024): Nusantara Hasana Journal, May 2024
Publisher : Yayasan Nusantara Hasana Berdikari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59003/nhj.v3i12.1129

Abstract

Background: Uterine myoma is the most benign tumor of the genital organs in women of reproductive age, causing morbidity and impaired quality of life for women. Risk factors associated with uterine myoma include age, race, heredity, sex hormones, obesity, lifestyle (diet, caffeine, and alcohol consumption, smoking, physical activity and stress), environment and other influences such as hypertension and infection. Uterine myoma is known as uterine fibromyoma, uterine leiomyoma, or uterine fibroid. Uterine myoma contains smooth muscle and fibrous tissue. Uterine myoma occurs in 20 - 25% of women of reproductive age. Myomas are rarely discovered before the age of puberty, as they are strongly influenced by reproductive hormones and only manifest during reproductive age. Although it rarely causes mortality, the morbidity caused by uterine myoma is quite high because uterine myoma can cause abdominal pain and abnormal bleeding, and is thought to cause low fertility. This case report will report a case of a 44-year-old female patient diagnosed with P0H0 + Suspect Uterine Myoma dd Adenomyosis + History of Laparotomy. The patient is finally treated by performing a total hysterectomy.
NERACA AIR DI PDAM LAWU TIRTA KABUPATEN MAGETAN Indah Nofitasari; Sunaryo, Sunaryo; Beny Suyanto; Hery Koesmantoro; Wiyono, Wiyono
Nusantara Hasana Journal Vol. 3 No. 12 (2024): Nusantara Hasana Journal, May 2024
Publisher : Yayasan Nusantara Hasana Berdikari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59003/nhj.v3i12.1130

Abstract

The Lawu Tirta Magetan Regional Drinking Water Company (PDAM) needs to conduct a water balance study, this is due to the increasing demand for water for the community which is getting bigger, while the existing water debit is limited. This research aims to determine the level of water demand needed by the community until 2032 This type of research is descriptive, by collecting secondary and primary data where the primary data includes projected population and the need for clean water for the community, then the data that has been collected will be explained and analyzed to provide an overview of the water balance in current conditions for the next 10 years. The service area of PDAM Lawu Tirta serves 76.377 customers located in 18 sub-districts covering 330 villages with a sample of 3 large sub-districts and 3 small sub-districts in 25 villages with a total sample of 400 connections. The research findings indicate that from the clean water demand survey in larger/urban sub-districts, the average is 495 liters (L/O/H), while in smaller/rural districts, it is 199 L/O/H. As a result, the average clean water demand for the Magetan community is 346 L/O/H. The clean water requirement for the year 2023 is projected to be 894,08 liters per second, with the current available discharge at 813.34 liters per second. For the year 2032, the projected water demand is 1.045,28 liters per second. Therefore, the available water discharge is not sufficient to meet consumer needs until the year 2032. To address this issue, necessary steps include adding deep wells, constructing reservoirs, establishing water treatment plants (IPA), and creating infiltration wells in spring areas. The current water discharge owned by PDAM Lawu Tirta is 813,34 liters per second. Alongside the population growth and the subsequent increase in water demand, the existing water discharge is inadequate until the year 2032. For this study it is necessary to carry out further research on water needs with a larger sample in order to obtain more perfect results, it is necessary to survey the percentage of the population that has not been served by PDAM water in the next 10 years with growth rates, it is necessary to examine the development of non-domestic networks.
THE PROFILE OF COLORECTAL ADENOCARCINOMA AT DR. M. DJAMIL GENERAL HOSPITAL PADANG, INDONESIA Liana, Nana; Helmizar, Roland; Ruhsyahadati, Ruhsyahadati; Jelmila, Sri Nani; Triyana, Rahma; Lismawati, Lismawati
Nusantara Hasana Journal Vol. 4 No. 1 (2024): Nusantara Hasana Journal, Juny 2024
Publisher : Yayasan Nusantara Hasana Berdikari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59003/nhj.v4i1.1132

Abstract

Colorectal carcinoma is the third most common malignancy in the world. This malignancy originates from the epithelium of the colon and/or rectum, showing glandular or mucinous differentiation, where tumor cells have penetrated the muscularis mucosae layer. The study aims to report on epidemiological, clinical, and pathological characteristics of colorectal adenocarcinoma. Methods: We performed a retrospective descriptive study of 140 cases of colorectal adenocarcinoma in the gastroenterology and general surgery departments of M. Djamil General Hospital Padang, Indonesia conducted from January 2022 to December 2022. Data collection using medical records of patients in M. Djamil General Hospital Padang, Indonesia. We reported different data: Age, sex, site, and differentiation grade of the tumor. Results: Our study included 140 patients 80 males (57,1%) and 60 females (42.9%), with a median age range of 51-60 years. The tumors were found in the rectum 82 (58.6%), distal colon 37(26.4%), and proximal colon 21(15.0%). The differentiation grade was majority low grade 117 (83.6%). Conclusion: In conclusion, our result showed that colorectal adenocarcinoma is highest in the male population with an age range of 61-70 years. The most common site of adenocarcinoma is rectum. A low grade is the most differentiated grade. Keywords: colorectal adenocarcinoma, anatomical location, differentiation grade, profile
PELATIHAN TEKNIS APLIKASI SCREEN TIME & LOCATION TRACKER GUNA MEMANTAU DAN MELACAK PENGGUNAAN GADGET PADA ANAK Fiby Nur Afiana; Jeffri Prayitno Bangkit Saputra; Farah Setyaningsih; El Syafangatun Aulia Difa
Nusantara Hasana Journal Vol. 4 No. 1 (2024): Nusantara Hasana Journal, Juny 2024
Publisher : Yayasan Nusantara Hasana Berdikari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59003/nhj.v4i1.1133

Abstract

Staring at a gadget screen too often can have a negative impact on a child's development and health. The consequence or impact of excessive use of gadgets in children is that it worsens the child's motor function abilities and increases the risk of early obesity. Daily screen time or known as daily screen time is a screen time management setting that allows parents to manage application usage. The problem that often occurs in some of the Association of Guardians of SDN 3 Purwanegara students is that on average they are working mothers, either office workers or traders who cannot supervise their children full twenty-four (24) hours. Sometimes after school they don't know where their children are, how long they use their gadgets, and they can't control what applications they access. The aim of this supervision is to protect children from the negative effects of using technology. Especially for working mothers who cannot supervise 24-hour gadget use and monitor their children's location. So that children can avoid bad things that can affect the future. Currently there are many Screen Time & Location Tracker applications that are applications to help parents manage their children's use of technology which can be controlled remotely. One of them is Find My Kids and Google Family Link. This allows parents to set a daily screen time limit to get notifications when that time has been reached and also helps parents know where their child is.
GENERATION TRANSITION OF MEDICAL STUDENTS Akbar, Resti; Adma, Azkira Zahara; Ortiz, Letizia Andrea; Anissa, Mutiara; Hariyani, Insil Pendri
Nusantara Hasana Journal Vol. 4 No. 1 (2024): Nusantara Hasana Journal, Juny 2024
Publisher : Yayasan Nusantara Hasana Berdikari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59003/nhj.v4i1.1134

Abstract

Generations are groups of people who are born, grow, and maintain their lives over a certain period and are considered to have the same characteristics and points of view because they are influenced by events that occurred at that time. Generations themselves are classified based on year of birth. There are four generations are Baby Boomers, X Generation, Y Generation, and Z Generation. Each generation has different learning methods, styles, and attitudes. Medical educators have developed and implemented various teaching methods to develop students' abilities more effectively and efficiently in future generations. However, there are barriers related to institutional resources, policies, and support that slow down the transition from traditional face-to-face classes to online classes. The transition itself began to be felt at the beginning of 2020, the Covid-19 pandemic caused very rapid changes, because it forced the implementation of fully online learning without face-to-face options. Students generally respond positively to the transition to online learning, but some students feel dissatisfied when learning online because they face stress and a huge workload. The end of the Covid-19 pandemic has resulted in digital transformation, such as hybrid learning and the medical learning process through mobile-based applications which makes it easier for students to learn from anywhere and at any time. It can be concluded that there are differences in learning methods, styles, and attitudes of medical students from generation to generation, this is due to the rapid development of technology and science, which makes the learning style of the current generation different from previous generations.

Page 71 of 140 | Total Record : 1398

 69   70   71   72   73 

Filter by Year

2021 2026


Reset
Filter By Issues
All Issue Vol. 5 No. 10 (2026): Nusantara Hasana Journal, March 2026 Vol. 5 No. 9 (2026): Nusantara Hasana Journal, February 2026 Vol. 5 No. 8 (2026): Nusantara Hasana Journal, January 2026 Vol. 4 No. 12 (2025): Nusantara Hasana Journal, May 2025 Vol. 4 No. 11 (2025): Nusantara Hasana Journal, April 2025 Vol. 4 No. 10 (2025): Nusantara Hasana Journal, March 2025 Vol. 5 No. 7 (2025): Nusantara Hasana Journal, December 2025 Vol. 5 No. 6 (2025): Nusantara Hasana Journal, November 2025 Vol. 5 No. 5 (2025): Nusantara Hasana Journal, October 2025 Vol. 5 No. 4 (2025): Nusantara Hasana Journal, September 2025 Vol. 5 No. 3 (2025): Nusantara Hasana Journal, August 2025 Vol. 5 No. 2 (2025): Nusantara Hasana Journal, July 2025 Vol. 5 No. 1 (2025): Nusantara Hasana Journal, June 2025 Vol. 4 No. 9 (2025): Nusantara Hasana Journal, February 2025 Vol. 4 No. 8 (2025): Nusantara Hasana Journal, January 2025 Vol. 3 No. 12 (2024): Nusantara Hasana Journal, May 2024 Vol. 3 No. 11 (2024): Nusantara Hasana Journal, April 2024 Vol. 3 No. 10 (2024): Nusantara Hasana Journal, March 2024 Vol. 4 No. 7 (2024): Nusantara Hasana Journal, December 2024 Vol. 4 No. 6 (2024): Nusantara Hasana Journal, November 2024 Vol. 4 No. 5 (2024): Nusantara Hasana Journal, October 2024 Vol. 4 No. 4 (2024): Nusantara Hasana Journal, September 2024 Vol. 4 No. 3 (2024): Nusantara Hasana Journal, August 2024 Vol. 4 No. 2 (2024): Nusantara Hasana Journal, July 2024 Vol. 4 No. 1 (2024): Nusantara Hasana Journal, Juny 2024 Vol. 3 No. 9 (2024): Nusantara Hasana Journal, February 2024 Vol. 3 No. 8 (2024): Nusantara Hasana Journal, January 2024 Vol. 2 No. 12 (2023): Nusantara Hasana Journal, May 2023 Vol. 2 No. 11 (2023): Nusantara Hasana Journal, April 2023 Vol. 2 No. 10 (2023): Nusantara Hasana Journal, March 2023 Vol. 3 No. 7 (2023): Nusantara Hasana Journal, December 2023 Vol. 3 No. 6 (2023): Nusantara Hasana Journal, November 2023 Vol. 3 No. 5 (2023): Nusantara Hasana Journal, October 2023 Vol. 3 No. 4 (2023): Nusantara Hasana Journal, September 2023 Vol. 3 No. 3 (2023): Nusantara Hasana Journal, August 2023 Vol. 3 No. 2 (2023): Nusantara Hasana Journal, July 2023 Vol. 3 No. 1 (2023): Nusantara Hasana Journal, June 2023 Vol. 2 No. 9 (2023): Nusantara Hasana Journal, February 2023 Vol. 2 No. 8 (2023): Nusantara Hasana Journal, January 2023 Vol. 1 No. 12 (2022): Nusantara Hasana Journal, May 2022 Vol. 1 No. 11 (2022): Nusantara Hasana Journal, April 2022 Vol. 1 No. 10 (2022): Nusantara Hasana Journal, March 2022 Vol. 2 No. 7 (2022): Nusantara Hasana Journal, December 2022 Vol. 2 No. 5 (2022): Nusantara Hasana Journal, October 2022 Vol. 2 No. 4 (2022): Nusantara Hasana Journal, September 2022 Vol. 2 No. 3 (2022): Nusantara Hasana Journal, August 2022 Vol. 2 No. 2 (2022): Nusantara Hasana Journal, July 2022 Vol. 2 No. 1 (2022): Nusantara Hasana Journal, June 2022 Vol. 1 No. 9 (2022): Nusantara Hasana Journal, February 2022 Vol. 1 No. 8 (2022): Nusantara Hasana Journal, January 2022 Vol. 1 No. 4 (2021): Vol. 1 No. 4 (2021): Nusantara Hasana Journal, September 2021 Vol. 1 No. 3 (2021): Vol. 1 No. 3 (2021): Nusantara Hasana Journal, August 2021 Vol. 1 No. 7 (2021): Nusantara Hasana Journal, December 2021 Vol. 1 No. 6 (2021): Nusantara Hasana Journal, November 2021 Vol. 1 No. 5 (2021): Nusantara Hasana Journal, October 2021 Vol. 1 No. 2 (2021): Nusantara Hasana Journal, July 2021 Vol. 1 No. 1 (2021): Nusantara Hasana Journal, June 2021 More Issue