bluuebunny/crossref_metadata_2025 huggingface dataset:
HUBUNGAN PAPARAN ASAP ROKOK DENGAN TANDA-TANDA VITAL PADA BALITA DI KABUPATEN PATI
Authors: Sariyani Desi , Rofika Ana
Published: March 2021

Zat berbahaya yang terkandung dalam asap rokok dapat mengganggu kesehatan balita, apalagi di masa pertumbuhan anak-anak sangat rentan terhadap penyakit karena system kekebalan tubuhnya masih belum sempurna sampai usianya melewati tahun ketujuh. Anak-anak yang terpapar asap rokok sejak usia dini akan meningkatkan risiko penyakit kardiovaskuler (CVD). Tujuan penelitian ini adalah untuk mengetahui hubungan paparan asap rokok dengan tanda-tanda vital pada balita di Kabupaten Pati. Penelitian ini merupakan penelitian jenis correlation dengan design cross sectional. Sampel penelitian ini adalah 184 balita yang salah satu anggota keluarganya merupakan perokok aktif yang masih merokok di dalam rumah dengan teknik probability sampling yaitu stratified random sampling. Analisis yang digunakan dalam penelitian ini adalah cross sectional dengan hasil p-value <0,05. Berdasarkan hasil analisis diperoleh ada hubungan paparan asap rokok dengan tanda-tanda vital pada balita dengan hasil p-value yaitu 0,000 (p<0,05. Berdasarkan hasil penelitian, disarankan untuk meningkatkan kesadaran masyarakat agar tidak merokok didalam rumah sehingga dapat menekan angka kesakitan pada balita akibat asap rokok.
PENGARUH TERAPI AKUPRESUR TERHADAP PENINGKATAN PRODUKSI ASI PADA IBU POST PARTUM DI PKU MUHAMADIYAH BANTUL
Authors: Liliana Anita , Wahyuningsih Melania
Published: March 2021

Abstract

Adequacy of milk production in the newborns will affect the success of exclusive breastfeeding. Not all postpartum mothers are able to increase milk production in the postpartum period. Acupressure at the meridian points is one way to increase milk production in postpartum mothers. This study aims to determine the effect of acupressure therapy on increasing breast milk production in postpartum mothers at PKU Muhamadiyah Bantul. This study was a quantitative study  a quasi-experimental research design with pre-test and post-test nonequivalent control group. The number of respondents in each group was 17 people. The treatment given was acupressure at the meridian points for 5 minutes on days 2 and 3of poatpartum. Breastfeeding adequacy was assessed before treatment and on day 4 postpartum. Data were analyzed by Mc Nemar analysis. The results showed that there was a significant difference in breast milk production before and after acupressure with p value of 0.000 (p value <0.05). There was a significant difference in breast milk production in the control group before and after being given the breastfeeding technique leaflet p value 0.001 (p value <0.05). Conclusion: There is no significant difference in breast milk production after being given acupressure and after being given leaflets about breastfeeding techniques at PKU Muhamadiyah Bantul p value 0.100 (p value> 0.05).  Keywords: acupressure, breast milk production, postpartum
HUBUNGAN PERILAKU KONSUMSI MINUMAN BERALKOHOL DENGAN GEJALA GASTRITIS PADA SEKAA TERUNA TERUNI (STT) DI DESA PANGSAN, KECAMATAN PETANG, KABUPATEN BADUNG
Authors: Palguna I Made Ghora , Kamayani Made Oka Ari , Suindrayasa I Made
Published: March 2021

Pengaruh globalisasi merupakan faktor kemungkinan yang dapat menyebabkan perubahan perilaku pada masyarakat. Salah satunya yaitu perilaku konsumsi minuman beralkohol. Banyak sekali dampak negatif  yang ditimbulkan bagi kesehatan, salah satunya gangguan pada sistem gastrointestinal yaitu gastritis. Tujuan penelitian ini adalah untuk mengetahui hubungan antara perilaku konsumsi minuman beralkohol dengan gejala gastritis pada Sekaa Teruna Teruni di Desa Pangsan Kecamatan Petang Kabupaten Badung. Desain penelitian mengunakan desain deskriptif korelasi dengan menggunakan pendekatan cross sectional. Sampel penelitian yang digunakan sebanyak 84 remaja.  Teknik sampling yang digunakan dalam penelitian ini adalah Non Probability Sampling dengan teknik Quota Sampling. Instrumen yang digunakan adalah kuisioner perilaku konsumsi minuman beralkohol dan kuisioner gejala gastritis. Metode analisa data yang digunakan yaitu korelasi spearman  dengan menggunakan SPSS. Pada penelitian ini diperoleh nilai p value < 0.05 dengan nilai korelasi sebesar 0,541 yang menunjukan bahwa kolerasi antara perilaku konsumsi minuman beralkohol dan gejala gastritis bermakna dan nilai korelasi positif dengan kekuatan korelasi sedang. sehingga dapat disimpulkan bahwa ada hubungan antara perilaku mengkonsumsi minuman beralkohol dengan gejala gastritis pada Sekaa Teruna Teruni di Desa Pangsan, Kecamatan Petang, Kabupaten Badung. Saran bagi Sekaa Teruna Teruni agar mengkontrol perilaku konsumsi minuman beralkohol sehingga dampak negatifnya seperti gastritis dapat berkurang.
Rancang Bangun Sistem Back End Pada Sistem Convert Data Laporan Stasiun Pengamatan MKG Di Sub Bagian Manajemen Data BBMKG Wilayah III Denpasar
Authors: Pradana G Kadek Surya , Mahendra Ida Bagus Made
Published: March 2021

Balai Balai Besar Meteorologi Klimatologi dan Geofisika Wilayah III merupakan Lembaga Pemerintah Non Departemen (LPND), yang dipimpin oleh Kepala Badan.Balai Besar Meteorologi Klimatologi dan Geofisika Wilayah III bertugas menaungi 43 stasiun yang tersebar di Indonesia bagian Barat yaitu Jawa Timur, dan Indonesia bagian Tengah dan Timur dalam hal penyediaan data dan informasi di bidang meteorologi, klimatologi dan geofisika. Balai ini terletak di Jalan Raya Tuban, Kuta, Kabupaten Badung, Bali. Balai ini memiliki 3 bidang salah satunya adalah Bidang Data dan Informasi. Pada bidang Data dan Informasi, salah satunya terdapat Sub Bidang Manajemen Data.Pada Sub Bidang Manajemen Data memiliki masalah terkait penginputan data laporan hasil pengamatan yang meiliki format yang berbeda – beda setiap stasiunnya yang tidak sesuai dengan Peraturan Kepala Badan Meteorologi, Klimatologi, dan Geofisika Nomor 4 Tahun 2016 Tentang Pengamatan dan Pengelolaan Data Iklim di Lingkungan Badan Meteorologi, Klimatologi, dan Geofisika. Dan proses penginputan tersebut masih dilakukan secara manual. Untuk itu, dibuatkanlah system yang mampu mengconvert data laporan hasil pengamatan bulanan menjadi laporan tahunan. Sistem ini diharapkan dapat membantu kinerja pegawai dalam hal melakukan input data laporan hasil pengamatan 43 stasiun yang di naungi oleh Balai Besar Meteorologi Klimatologi dan Geofisika Wilayah III. Kata kunci: BBMKG, Convert Data, Excel, Manajemen Data, Sistem
INDEPENDENT COMPONENT ANALYSIS (ICA) DAN SPARSE COMPONENT ANALYSIS (SCA) DALAM PEMISAHAN VOKAL DAN INSTRUMEN PADA SENI GEGUNTANGAN
Authors: Putra Angga Pramana , Wiantari Ni Wayan , Novita Dewi Putu Mira , Bayu Atmaja Darmawan I Dewa Made
Published: March 2021

Geguntangan adalah pesantian dalam upacara keagamaan yang diiringi dengan gamelan. Indra  pendengaran manusia cenderung memiliki keterbatasan, yang menyebabkan tidak semua vokal yang  tercampur dengan gamelan bisa didengar jelas. Oleh karena itu diperlukan suatu sistem yang dapat digunakan untuk memisahkan vokal dengan gamelan pada geguntangan. Pemisahan sumber suara ini dikategorikan sebagai Blind Source Separation (BSS) atau disebut juga Blind Signal Separation yang  artinya sumber tidak dikenal. Algoritma yang digunakan untuk menangani BSS adalah algoritma Independent Component Analysis (ICA) dan Sparse Component Analysis (SCA) dengan berfokus  pada pemisahan sinyal suara pada file suara berformat *.wav. Algoritma SCA dan ICA digunakan  untuk proses pemisahan suara dengan parameter nilai yang digunakan adalah Mean Square Error (MSE) dan Signalto Interference Ratio(SIR). Dari hasil simulasi menunjukkan Hasil perhitungan MSE dan SIR dengan dengan menggunakan mixing matriks [0.3816, 0.8678], [0.8534, -0.5853] didapatkan untuk metode ICA nilai MSE sebesar 4.169380402433175 x 10-6 untuk instrumennya dan 2.884749383815846 x 10-5 untuk vokalnya dan didapatkan nilai SIR sebesar 53.79928479270223 untuk instrumennya dan 45.39891910741724 untuk vokalnya. Selanjutnya untuk metode SCA, nilai MSE sebesar 3.382207103335018 x 10-5 untuk instrumennya dan 3.099942460987607 x 10-5 untuk vokalnya dan didapatkan nilai SIR sebesar 44.707998026869014 untuk instrumennya dan 45.08646367168143 untuk vokalnya.
Breast Cancer Classification Using Artificial Neural Network and Feature Selection
Authors: Gorianto Frisca Olivia , Santi Astawa I Gede
Published: March 2021

Breast cancer is still one of the leading causes of death in the world. Prevention can be done if the cancer can be recognized early on whether the cancer is malignant or benign. In this study, a comparison of malignant and benign cancer classifications was performed using two artificial neural network methods, which are the Feed-Forward Backpropagation method and the Elman Recurrent Neural Network method, before and after the feature selection of the data. The result of the study produced that Feed-Forward Backpropagation method using 2 hidden layers is better after the feature selection was performed on the data with an accuracy value of 99,26%.
Segmentation of Certificate With Connected Component Labeling Method
Authors: Jaya Cokorda Gde Teresna , Arta Wibawa I Gede
Published: March 2021

Certificate is one of the documents that can be used as evidence of ownership or an event. For example, when certificate used as requirement to participate in an event. If a document is made as a requirement, of course the file verification process will be done. Seeing the time optimization problem when verifying the file, the authors carry out research by segmenting important data contained in a certificate as an initial step in the development of an automatic document verification system. The segmentation process carried out in this study uses the Connected Component Labeling method in determining the area to be segmented and Automatic Cropping to cut the results of the segmentation process. By using these two methods obtained an accuracy of 60% with a total of 15 pieces of test data
Performance Analysis of MANET Proactive and Reactive Routing Protocols Using Network Simulator 2
Authors: Saputra I Wayan Adi , Mogi I Komang Ari
Published: March 2021

The development of Mobile ad hoc networks (MANET) has the nature and character of a fast, costeffective. The development of Mobile ad hoc networks (MANET) has the nature and character of a fast, cost-effective deployment and able to manage the topology independently. This has caused in recent years, MANET to be an interesting and popular thing to study. MANET can be applied even in difficult areas, forest fire detection, military operations and even health monitoring. Changes in the topology dynamically on MANET, limited energy consumption, and built without existing infrastructure are a problem in MANET. Problems especially dynamic topology changes make routing very important in MANET design. This article aims to analyze AODV, DSDV and DSR routing protocols based on quality of service (QoS). The test scenario is based on the number of nodes, packet size, area of simulation, simulation time, simulation speed, mobility model, and propagation model. The simulation that has been done produces 4 graphs, each of which explains the packet delivery ratio, throughput, network routing load, and delay. Simulation results are obtained using NS2 network simulators through *. Tcl files and generate *. Tr (trace) and *.nam (animator) files. Simulation results show that the DSR routing protocol has better performance than AODV and DSDV in terms of pdr, throughput, network routing load, and delay. The average value of the DSR routing protocol is 657,498 on throughput and 0.244 milliseconds on delay.
Aplikasi Desa Wisata Berbasis Android
Authors: Mahendra Ida Bagus Made
Published: March 2021

Desa wisata adalah suatu bentuk integrasi antara atraksi, akomodasi dan fasilitas pendukung yang disajikan dalam suatu struktur kehidupan masyarakat yang menyatu dengan tata cara dan tradisi yang berlaku. Indonesia memiliki banyak kawasan pedesaan yang memiliki beberapa karakteristik khusus yang layak untuk menjadi daerah tujuan wisata. Kegiatan-kegiatan unik yang tidak ada di tempat lain menjadi kelebihan dari Indonesia dengan keragaman seni dan budaya yang dimilikinya. Teknologi yang tepat guna dapat membantu dalam memberikan informasi menjadi lebih mudah dan menarik.

Aplikasi Desa Wisata berbasis Android ini dikembangkan berbasis teknologi terbaru diharapkan dapat mengatasi masalah internal desa wisata di Indonesia khususnya dalam hal pemasaran ke dunia luar dan dapat menjadi salah satu platform dalam meningkatkan pendapatan masyarakat yang tinggal di Desa Wisata.
Basic Word Extraction Algorithm Based on Morphological Rules for Balinese Texts
Authors: Negara I Made Wahyu Guna , Sanjaya ER Ngurah Agus
Published: March 2021

Stemming is the process of extracting the root word of an affixed word. The process is intended to reduce the variations in the word. In this research, we are interested in applying stemming on Balinese language. Previous works on stemming of the Balinese language applied rule-based method but only prefix and suffix were considered. Moreover, the rules were constructed without providing much attention to the morphology of the Balinese language. Rule-based method can be verified and validated with ease on simple problem but fail to do so on problems with high complexity such as Balinese language. To overcome the weaknesses of rule-based stemming on Balinese language, we propose a method that reduce all variations of affix on Balinese language by combining the rule- based approach and the Balinese language morphology. Based on experiments carried out, our proposed method obtained an average stemming accuracy of 99% which is better than 96.67% achieved by the previous method.

Keywords: Stemming, Balinese language, Rule-based
Sum of Squared Difference (SSD) Template Matching Testing on Writing Learning Application
Authors: Sidi Widya Dharma , Arta Wibawa I Gede
Published: March 2021

Abstract

This research was conducted to determine the accuracy of the Sum of Squared Difference (SSD) Template Matching method in the Application of Learning Numbers Writing Games. This game application is an application created to help early childhood in recognizing Arabic numbers, namely numbers from 0 to 9. In the SSD Template Matching method there are several processes including Preprocessing, thinning, feature extraction, and classification (SSD template matching). In testing the game application involves 10 respondents who were asked to write numbers correctly as requested by the application. For each number writing test, it is tested by 3 times. From the tests conducted, obtained an accuracy of 94.67%.

Keyword: Template Matching, Sum of Squared Difference (SSD), Education Game, Optical Character Recognition, Mobile Learning
Pengembangan Sistem Informasi Manajemen Tuas Akhir Program Studi Teknik Informatika Universitas Udayana
Authors: Adiartika Made Harry Dananjaya , Supriana I Wayan
Published: March 2021

Bagi seorang Mahasiswa sebuah Tugas Akhir merupakan sebuah persyaratan bagi seorang mahasiswa untuk menyelesaikan pendidikannya serta sebelum menyandang gelar sarjana, dalam pembuatannya terdapat berbagai proses administrasi sebelum mendapatkan penilaian terhadap tugas akhir mereka, dalam mengelola atau memanajemen berbagai proses tersebut Program Studi Teknik Informatika Universitas Udayana memiliki sebuah sistem yang digunakan untuk mengelola berbagai proses tersebut, namun dengan berjalannya waktu permintaan akan fitur yang dapat mempermudah berbagai proses tersebut semakin bertambah sehingga diperlukan sebuah sistem baru yang dapat memenuhi berbagai permintaan tersebut, sehingga pada penelitian ini penulis bertujuan untuk merancang serta mengimplementasikan sebuah sistem informasi tugas akhir dimana penulis berfokus pada proses administrasi dokumen tugas akhir mahasiswa, sistem informasi ini dikembangkan berbasis website dengan framework CodeIgniter sebagai backend dari sistem
The Effects of Different Kernels in SVM Sentiment Analysis on Mass Social Distancing
Authors: Yonatha Wijaya Komang Dhiyo , Karyawati Anak Agung Istri Ngurah Eka
Published: March 2021

During this pandemic, social media has become a major need as a means of communication. One of the social medias used is Twitter by using messages referred to as tweets. Indonesia currently undergoing mass social distancing. During this time most people use social media in order to spend their idle time However, sometimes, this result in negative sentiment that used to insult and aimed at an individual or group. To filter that kind of tweets, a sentiment analysis was performed with SVM and 3 different kernel method. Tweets are labelled into 3 classes of positive, neutral, and negative. The experiments are conducted to determine which kernel is better. From the sentiment analysis that has been performed, SVM linear kernel yield the best score Some experiments show that the precision of linear kernel is 57%, recall is 50%, and f-measure is 44%
Ontology Development for Motorcycle Semantic Knowledge Representation
Authors: Kusuma I Made Cantiawan Giri , Adi Pramartha Cokorda Rai
Published: March 2021

Transportation is currently a basic necessity in supporting daily life, starting from supporting economic activities and various other things. One of the most commonly used means of transportation is a motorcycle because it is very practical to use. However, the development of motorcycles is currently very fast, confusing the community in choosing a motorcycle that suits their needs. The solution used to overcome this problem can be overcome by using the concept of semantic ontology. The method of building the ontology model used is METHONTOLOGY. This method is one of the methods of building an ontology model that can reuse the built ontology for further system development. The motorcycle ontology development model generates 16 classes, 13 object properties, 11 data properties, and 69 individuals. The ontology evaluation process by performing SPARQL queries also provides appropriate results.
The Introduction Of SDN 3 Lukluk Environment Using Augmented Reality Application
Authors: Putra Ida Bhujangga Bagus Dili , Wibawa I Gede Arta
Published: March 2021

Every year a lot of new students enter school. To introduce new students to the school environment, the school holds an event to introduce the school environment to make them know their school environment better. However, there are still students who do not know their school environment very well. In the school environment there are many buildings with different names and to remember all of them correctly is not easy and takes a lot of time to look at all of them. To Remember all the location of the buildings and its names, it would be better if there was a application that can visualize the buildings very well. Technologies that can provide visualization and is easy to use is Augmented Reality. Augmented Reality can display the whole school environment, making it easier to see all the buildings with their names in the school environment. AR can be easily used, user only need to install AR on their smartphone device. This AR application is marker-based so that user only need to scan the marker provided with the camera and the school environment and information can be displayed.
Implementation Learning Vector Quantization(LVQ) for Chronic Kidney Disease Classification
Authors: Pramana I Gst Bgs Bayu Adi , Widiartha I Made , Astuti Luh Gede
Published: March 2021

Chronic kidney disease is a disruption in the function of the kidney organs. When the kidneys are no longer fully functioning, the body is filled with water and a waste product called uremia. As a result, the body or legs will experience swelling and feel tired quickly because the body needs clean blood. Therefore, impaired kidney function should not be underestimated because it can be fatal. Researchers have conducted research related to the classification of kidney disease to find out what symptoms can cause kidney disease. One method that can be used for classification is the Learning Vector Quantization (LVQ) method. In this study, the LVQ algorithm was applied to classify chronic kidney disease. From the research results, the highest accuracy is 81.667% with the optimal learning rate is 0.002.
Hijaiyah Letter Segmentation Using Connected Component Labeling Method
Authors: Putri Audini Nifira , Suputra I Putu Gede Hendra
Published: March 2021

Arabic letters or Hijaiyah letters recognition is a challenge in itself because one letter consists of more than one character, namely the main character, companion character such as dots and lines, and punctuation called harakat. The image segmentation process is the most important in a character recognition system because it affects the separation of objects in an image. In this research, Hijaiyah letter segmentation aims to separate the letters according to the character of each letter using the Connected Component Labeling (CCL) method. Merging labels on each character will be done by looking for the Euclidean distance value from adjacent centroids. The experiment succeeded in segmenting each Hijaiyah character with an accuracy value of 86%.
Sentiment Analysis of the Enforcement of PSBB Part II in Jakarta
Authors: Brahmantha Gede Putra Aditya , Santiyasa I Wayan
Published: March 2021

In addition to communicating, Social Media is a place to issue opinions by the public on many things that are currently taking place, Twitter is one of these social medias that is widely used in conveying opinions regardless of whether these opinions are negative, positive, or even neutral. Tweets data about the Enforcement of PSBB Part II in Jakarta were obtained as many as 200 opinions using web crawling then advanced to the preprocessing stage before being classified using the K-Nearest Neighbor and Multinomial Naive Bayes algorithms. In 3 tests, the highest accuracy was 65.00% for K-Nearest Neighbor and the highest accuracy was 85.00% for Multinomial Naive Bayes method.
Mood Classification of Balinese Songs with the K-Means Clustering Method Based on the Audio-Content Feature
Authors: Brata I Putu Bayu Wira , Darmawan I Dewa Made Bayu Atmaja
Published: March 2021

Bali is a province that has a diversity of arts and can not shunt from songs that come from Bali. Music in Balinese songs has a unique character, both in the variations of the tone that builds up a song and the lyrics contained in a Balinese song. Research on the classification of mood with energy and valence features of a song is often done, especially on western songs. Every music that is thought out has emotional energy that radiates and powerfully connects with human psychology. This research wants to explore whether the features used to classify western songs can also classify Balinese songs, which are rich in the sound of musical instruments according to the tastes of the Balinese themselves. Classification of songs is essential, considering that music is related to specific emotions and moods in humans. In this study, the mood classification of Balinese songs is performed using the Spotify API feature, namely energy and valence. Classification using K-means clustering based on energy and valence features is compared with the song mood data from ten respondents and produces the highest accuracy of 32%.
Implementation of Feature Selection using Information Gain Algorithm and Discretization with NSL-KDD Intrusion Detection System
Authors: Putra Dharma , Kadnyanana I Gusti Agung Gede Arya
Published: March 2021

Feature selection is one of the research on data mining for datasets that have relatively many attributes. Eliminating some attributes that are irrelevant to the label class will be able to improve the performance of the classification algorithm. The Information Gain algorithm is one of the algorithms for searching for features that are irrelevant to the label class. This algorithm uses wrapper techniques to eliminate irrelevant attributes. This research aims to implement feature selection using the Information Gain algorithm against the NSL KDD intrusion detection dataset which has a large number of relative attributes. The dataset of the selected attribute will be performed by a classification algorithm so that an attribute reduction can improve the compute process and improve the accuracy of the algorithm model used.
Development of Augmented Reality Application for Canang Education Using Marker-Based Tracking Method
Authors: Putra I Kadek Agus Andika , Putra I Gusti Ngurah Anom Cahyadi
Published: March 2021

The aim of this study is to develop an Augmented Reality application with marker-based tracking that use for Canang education. This application was developed with waterfall model. Data collection technique that I use in this study is surveys, interview and literature review. This application can pop up information about types of Canang, when you use that types, and an example picture of the Canang. This application use vuforia software development kit (SDK) for combine the reality object and virtual object use for smartphone with QR Code. The design for information and example picture of Canang is built in Adobe Illustrator and made to Augmented Reality in Unity. Method that use in this study is Marker Based Tracking which identifies marker patterns. This application applies multi-target marker-based Augmented Reality so that each type of Canang information is stored and ran on different markers. This application can be medium for education about Canang in general for Hindusm teen.
Implementation of K-Modes Algorithm for Clustering of Stress Causes in University Students
Authors: Dewi Ni Putu Mira Novita , Dwidasmara Ida Bagus Gede
Published: March 2021

Stress is an inevitable part of life in a college environment. The variety of factors that cause stress in students, it is necessary to cluster the factors that cause stress in students to see the description of the characteristics of each cluster of students. The clustering process is carried out to identify the causes of stress in student groups and their relationship to these internal and external factors. Cluster analysis can be used as a reference to decide on efforts to handle and prevent increased stress in students.

The clustering process is carried out using the Python programming language. The algorithm used is the k-modes clustering algorithm. This algorithm is suitable for clustering categorical data. The optimal number of clusters obtained from the implementation of the elbow method is three clusters. Cluster 1 is a cluster with a mild stress level, the main cause of stress is academic issues. Cluster 1 is the only group where the majority of the cause of stress is not financial. Cluster 2 is a cluster with a high stress level which causes various stressors. However, cluster 2 is the only cluster where the cause of stress is on careers and on involvement in hostels, clubs, and society. Cluster 3 is a cluster with a medium stress level. This cluster is the only cluster dominated by male gender. The main cause of stress in this cluster is academic and financial.
Struktur Vegetasi Mangrove berdasarkan Karakteristik Substrat di Pantai Karang Sewu, Gilimanuk Bali
Authors: Prihandana Pande Komang Egar , Nurweda Putra I Dewa Nyoman , Indrawan Gede Surya
Published: March 2021

Karang Sewu Beach is one of the areas in the West Bali National Park (TNBB) which has a natural mangrove ecosystem. One of parameters affecting mangrove growth is substrate. This research aims to determine the vegetation structure, substrate characteristics, and different vegetation groups of mangroves based on its substrate characteristics in Karang Sewu Beach. This study collected the data on vegetation structure using a plotted line method with 2x2, 5x5, 10x10 and 20x20 meters transects. Substrate texture was analyzed using a pipette method while total organic material was analyzed using the Loss on Ignition (LOI) method. Mangrove vegetation was categorized based on substrate characteristics using the descriptive quantitative method. Results showed there were nine species of mangrove found in Karang Sewu Beach, namely Ceriops tagal, Sonneratia alba, S. caseolaris, Rhizophora apiculata, R. mucronata, R. stylosa, R. lamarckii, Lumnitzera racemosa, and Avicennia marina. INP in the first station was dominated by R. apiculata for tree levels (152,88 %), pole (174,24 %), sapling (139,04 %), and seedling (111,48 %). R. lamarckii dominated the second station with a tree level value of 226,94 % while C. tagal dominated for pole level (220,82 %), sapling (243,65 %), and seedling (182,94 %). INP in the third stasion was dominated by C. tagal for pole level (103,68 %), sapling (98,77 %) and seedling (95,51 %). Mangrove substrate in Karang Sewu Beach was characterized as having a sand like texture, dusty loam, sandy loam, loamy sand, and sandy clay with moderate organic matter (2.44 %) to low (0.79 %). Mangrove vegetation grouping based on substrate characteristics in Karang Sewu Beach was different in general. A. marina is found in the middle zone, where this species is usually found in the front zone.
Analisis Pola Sebaran Area Upwelling di Selatan Indonesia Menggunakan Citra Modis Level 2
Authors: Anjas Swara I Gede Mita , Astawa Karang I Wayan Gede , Indrawan Gede Surya
Published: March 2021

This research aimed to find out the pattern of spasio-temporal upwelling and its relation with El Nino Southern Oscillation (ENSO) in the southern waters of Java to the East Nusa Tenggara. Two indicators namely sea surface temperature (SST) and chlorofil-a data obtained from oceancolor database were used as an indicator of upwelling occurences. The overlay technique and correlation analyses were used to describe the relationship between upwelling and ENSO. The results showed the phenomenon of upwelling occurred along southern Java and East Nusa Tenggara. The appearance of upwelling occurred in the South Easth Monsoon until transition season which began in June and ended in November. The pattern of upwelling area for 17 years varies each season, where for the South Easth Monsoon in June it gained 6986 km2, in July 78294 km2, and in August 254212 km2. As for transition season II in September 166767 km2, in October 72033 km2, and November 1949 km2. The results also showed that upwelling intensity was influenced by ENSO indicated by correlation values that matched the correlation value between SST - ENSO was -0.78 and chlorophyll-a-ENSO was 0.98.
A PRELIMINARY STUDY ON LEXICAL COHESIVE DEVICES IN READING TEXTS IN THE TEXTBOOK TIẾNG ANH 10 PUBLISHED BY VIETNAM EDUCATION PUBLISHING HOUSE
Authors: Minh Nguyen Hoang , Thuy Dong Thi
Published: March 2021

The research examines the lexical cohesive devices in the textbook Tiếng Anh 10 published by Vietnam Education Publishing House. This study employs a documentary method of analysis to answer the research question. In particular, Halliday and Hasan’s framework of cohesion in discourse (1976) was adopted to investigate ten reading texts in the reading section. The findings show that in terms of reiteration, repetition is the most frequently used device in all reading texts to make the reading semantically related, while collocation cohesion produces cohesive effects among words and phrases in the same collocational environment. As a result, students will benefit greatly from such lexical cohesion in terms of grasping the meaning of the reading texts, and boosting their reading comprehension and theme-based vocabulary. Hopefully, this article is a preliminary study for further research on applying lexical cohesion in teaching and learning reading comprehension or writing skills.
Is the Three Character Classic (《三字经》) still suitable for contemporary literacy and enlightenment education for children? Insights from the perspective of cognitive psychology and child development psychology
Authors:   Faculty of Education, Beijing Normal University, Beijing 100875, China, Sun Yi , Zhao Guoqing ,   Faculty of Education, Beijing Normal University, Beijing 100875, China, Yang Xi ,   Faculty of Education, Beijing Normal University, Beijing 100875, China
Published: March 2021

The Three Character Classic (《三字经》), also translated as San Zi Jing or The Triword Primer, is the traditional Chinese Primer with the most significant influence and the broadest appeal. In the 21st century Chinese traditional cultural revival, traditional texts such as the Three Character Classic are reused as child education primer. Is the Three Character Classic still suitable for contemporary children's literacy and enlightenment? From the perspective of cognitive psychology and child development psychology, this paper used a critical literature review method to investigate the relationship between the Three Character Classic and children's language development, attention, memory, cognition, and moral development. It found that the content, structure, teaching approach of it conform to children's physical and cognitive development during early childhood. The Three Character Classic is not only the primary text for children's Chinese learning but also a valuable tool to understand the spiritual core of traditional Chinese culture. It has a particular value for children's literacy and enlightenment and those who learn Chinese as a second language.
MVC Implementation In Laravel Framework For Development Web-Based E-Commerce Applications
Authors: Santoso Gatot Budi , Sinaga Tondi Mulia , Zuhdi Ahmad
Published: March 2021

MVC is a concept that separates three main logical components namely model, view and controller. The model represents the database, the view controls the user interface and controller connecting the model and view. The MVC concept makes coding work more structured. Laravel is a PHP framework that uses the concept of MVC so that the use of Laravel to develop an application greatly facilitates the programmer. Besides other facilities offered by Laravel, Laravel provides lightweight layout templates, provides a lot of object oriented libraries and has artistic tools for carrying out commands at the command line that can help programmers build a website or web-based application. With the many conveniences offered by Laravel, the process of developing a large website becomes easier and faster. In this research the development of web-based e-commerce applications is made using the Laravel framework.
Analisis Metode Cosine Similarity Pada Aplikasi Ujian Online Otomatis (Studi Kasus JTI POLINEMA)
Authors: Amalia Eka Larasati , Jumadi Angelita Justien , Mashudi Irsyad Arif , Wibowo Dimas Wahyu
Published: March 2021

Dalam konsep e-learning pelaksanaan ujian dilakukan secara online salah satunya ujian esai. Ujian esai online merupakan ujian yang menggunakan metode online dan mewajibkan siswa menjawab dengan kalimat mereka sendiri. Namun, dalam ujian esai online ini memerlukan waktu yang lama untuk mengoreksi jawaban jika dikerjakan secara manual. Agar tidak memakan banyak waktu untuk mengoreksi jawaban siswa maka dalam sistem terdapat penilaian kemiripan jawaban untuk penilaian. Pada penelitian ini dilakukan pembuatan sistem ujian esai online dengan penilaian kemiripan jawaban menggunakan metode Cosine Similarity dan persamaan Term Frequency (TF) untuk menyamakan frekuensi setiap kata yang terdapat dalam kalimat. Suatu faktor yang menentukan bobot kata berdasarkan pada jumlah frekuensi kata dalam sebuah dokumen disebut dengan Term Frequency. Untuk pengujian akurasi metode dilakukan pengujian precision, recall, dan f-measure dan berdasarkan hasil analisis dengan menggunakan metode yang telah dicoba diperoleh rata-rata 81%. Abstract In the e-learning concept, the implementation of exams is carried out online, one of which is an essay exam. The online essay exam is an exam that uses an online method and requires students to answer in their own sentences. However, in this online essay exam, it takes a long time to correct answers if done manually. In order not to take a lot of time to correct student answers, the system has an assessment of the similarity of answers for the assessment. In this study, an online essay exam system was made with the similarity of answers using the Cosine Similarity method and the Term Frequency (TF) equation to equalize the frequency of each word contained in a sentence. Term Frequency is a factor that determines word weight based on the number of word frequencies in a document. To test the accuracy of the method, precision, recall, and f-measure tests were carried out and based on the results of the analysis using the method that had been tried, an average of 81% was obtained.
The effects of a marine photosynthetic bacteria Rhodovulum sulfidophilum on the growth and survival rate of Marsupenaeus japonicus (kuruma shrimp)
Authors:   Department of Applied Life Science, Sojo University, 4-22-1 Ikeda, Nishiku, Kumamoto 860-0082, Japan, Miyasaka Hitoshi , Koga Aoi , Tani Yusaku , Ozaki Ken-ichi , Maki Takaaki , Hayashi Shuhei , Yamamoto Shinjiro
Published: March 2021

The sustainability of the shrimp aquaculture depends largely on disease control and the health status of shrimp. Probiotics, which make shrimps healthier and more resistant to pathogens, are promising countermeasure for shrimp diseases. In this study, the effects of the marine purple non-sulfur photosynthetic bacterium (PNSB) Rhodovulum sulfidophilum on Marsupenaeus japonicus (kuruma shrimp) growth and survival were examined in 177 m2 aquaria (140 tons of water) for 70 days. The shrimp received feed containing 0.01 % fresh weight (106 colony forming unit/g) of R. sulfidophilum cells. The survival rate significantly improved (P < 0.001) (R. sulfidophilum-fed = 81.9 %; control = 71.5 %), the feed conversion rate improved (R. sulfidophilum-fed = 1.83; control = 2.11), and there was no difference in the shrimp average body weight. The approximate bacterial cell cost was $0.003 to $0.005 per 1 kg feed, indicating that the R. sulfidophilum approach is economically feasible and a promising candidate for probiotic bacteria in shrimp aquaculture. Keywords: photosynthetic bacteria, Rhodovulum sulfidophilum, Marsupenaeus japonicus, shrimp, probiotics
Protective effect of kudzu root vinegar and adenosine against UVB-induced oxidative stress in human keratinocytes
Authors:   Theraderm Co., Ltd. R&D Department, 10-6, Yeondong-daero 86-gil, Gangnam-gu, Seoul 135-502, South Korea, Park Ji Eun , Kim Young Mi
Published: March 2021

Ultraviolet (UV) irradiation generates reactive oxygen species (ROS) in cells, which induces sunburn cell formation, melanoma, photoaging, and skin cancer. This study examines the anti-photodamage effects of kudzu root vinegar and adenosine in UVB-exposed human keratinocytes (HaCaT cells). UVB significantly decreased HaCaT cell viability, whereas kudzu root vinegar and adenosine did not exhibit cytotoxic effects and increased the viability of HaCaT cells. To investigate the protective effects of kudzu root vinegar and adenosine on UVB-induced oxidative stress in HaCaT cells, ROS, matrix metalloproteinases (MMPs), and mitogen-activated protein kinase (MAPK) were analyzed. UVB-induced treatment reduced the activity of antioxidant enzymes; however, kudzu root vinegar and adenosine increased their activity. These results indicated that kudzu root vinegar and adenosine exert cytoprotective activity against UVB-induced oxidative stress in HaCaT cells. Moreover, they suppressed the UVB-induced downregulation of MMPs and inhibited the phosphorylation of MAPK induced by UVB-irradiation. Therefore, kudzu root vinegar and adenosine offer anti-oxidative effects, via lowering ROS production, suppressing JNK activation, and downregulating expression of MMPs. Our findings suggest that kudzu root vinegar and adenosine have potential application in preventing skin damage owing to UVB exposure. Keywords: reactive oxygen species (ROS), HaCaT cell, UVB, skin damage, anti-aging
The Inhibitory Effects of Nucleosides, Nicotinamide Adenine Dinucleotide, Adenosine 5'-Triphosphate, Inosine, Nicotinamide Riboside and Nicotinamide Mononucleotide Against α-Amylase and α-Glucosidase Enzymes
Authors:   Medical Biology Research Center, Health Technology Institute, Kermanshah University of Medical Sciences, Kermanshah, Iran, Ghorbania Fatemeh , Ghorbani Masoomeh , Ghahghaee Arezou ,   Department of Biology, Faculty of Sciences, University of Sistan and Baluchestan, Zahedan, Iran,  cDepartment of Agronomy and plant breeding, Faculty of Sciences, Razi University, Kermanshah, Iran
Published: March 2021

Diabetes is a group of metabolic disorders characterized by a high blood sugar level over a prolonged period of time. Inhibition of carbohydrate hydrolyzing enzymes leads to decrease in the absorption of glucose which is considered as one of the effective managements of diabetes mellitus. Vegetable, fruit, milk and fish are good sources of nucleosides and inosine (INO), nicotinamide riboside (NR) and nicotinamide mononucleotide (NMN) with versatile health benefits. The well-adapted structural features of these compounds for the inhibition/activation of enzymes include several available hydrogen bond (H-bond) acceptors and donors, flexible backbone and hydrophobic nature. The substrates of α-amylase (α-Amy) and α-Glucosidase (α-Glu), known as key absorbing enzymes, have functional groups (OH groups) resembling nucleosides. Therefore, the present study was conducted to evaluate the inhibitory properties of nucleosides against αAmy and α-Glu. The median inhibition concentration (IC50) values for α-Glu in the presence of adenosine (ADN), adenosine triphosphate (AMP), NR, INO, adenosine triphosphate (ATP), nicotinamide adenine dinucleotide (NAD), Adenosine diphosphate (ADP)-ribose, ADP-glucose and NMN were determined 208.6±3.8, 254.1±5.2, 177.7±4.8, 192.1±5.2, 215.9±2.7, 65.4±1.3, 63.4±2.2, 75.6±4.2 and 196.1±2.6, respectively. The IC50 values α-Amy in the presence of ADN, AMP, NR, INO, ATP, NAD, ADP-ribose, ADP-glucose and NMN were determined 145.3±2.4, 202.3±3.9, 127.7±4.8, 163.5±3.6, 185.3±1.2, 80.4±2.8, 64.8±4.7, 51.1±1.6 and 166.5±1.4, respectively. Moreover, the Ki values of NAD were calculated as 13.8±0.8 and 18.6±2.4 µM for α-Glu and α-Amy in a competitive-mode and noncompetitive -mode inhibition. In addition, to communicate with the active site of α-Glu and α-Amy respectively, NR presented a binding energy of -7.8 and -6.8 kcal/mol, INO -7.3 and -6.9, ATP -8.3 and -7.3, NAD -10.0 and -8.5, ADP-ribose -8.7 and -7.4, ADP-glucose -8.9 and -7.6, cAMP -6.6 and -6.3 and NMN -6.8 and -7.0 kcal/mol. These antioxidant inhibitors may be potential anti-diabetic drugs, not only to reduce glycemic index, but also to limit the activity of the major reactive oxygen species (ROS) producing pathways. Key words: Nucleosides, NAD, hydrolyzing enzymes, enzyme inhibition, hyperglycemia
Discurso prescriptivo y objetos gramaticales. Su tratamiento desde la glotopolítica
Authors: Arnoux Elvira Narvaja de
Published: March 2021

En el proceso de estandarización de las lenguas, la descripción ha tenido tradicionalmente una dimensión prescriptiva. Esta se ha explicitado en enunciados que censuran determinados usos y postulan cuáles son los correctos. Las gramáticas, fundamentalmente, han participado en ello. Pero, también, los instrumentos lingüísticos que se inscriben en la tradición retórica (como manuales de estilo periodístico, artes de escribir o guías de lenguaje no sexista) han prescripto, con el objetivo de incidir en la producción discursiva, sobre las formas gramaticales más adecuadas para ciertos espacios sociales o para resolver determinadas problemáticas. En el artículo, abordamos, en primer lugar, la relación de los discursos prescriptivos con la determinación de las jerarquías sociales, el lugar de autoridad que construyen y los juicios en los que se apoyan. Luego, nos centraremos en la prescripción acerca de unidades gramaticales en dos tipos actuales de instrumentos reguladores de la discursividad: los simplificadores y uniformizadores y los antidiscriminadores. Adoptamos la perspectiva glotopolítica, que se interesa por los modos de intervención sobre el lenguaje y sobre la distribución social de la palabra e ilustramos con textos producidos en el mundo hispánico en diferentes épocas.
ANALISIS PERMINTAAN BERAS ORGANIK DI KOTA SURAKARTA
Authors: Fitriah Dina , Marwanti Sri , Antriyandarti Ernoiz
Published: March 2021

Research aims to understand variable influence the price of organic rice, the price of nonorganic rice, chicken egg price, education, income, the number of family members, preference on the organic rice in the city of surakarta and elasticity demand. The basic method used in this research is descriptive and analytical method with survey research technique. The method of determining the location of the research is aimed at Surakarta City. The sampling method used is accidental sampling with 100 respondents. Data analysis used the multiple linear regression analysis. This research result indicates the price of organic rice , the price of non-organic rice, the price of chicken egg, education, income, the number of family members, and preference together had an influence on the request of organic rice. The factors that influence individual is organic rice price, non-organic rice price, chicken egg  price, and income. The organic rice price elasticity was negative (-0,683) shows that the organic price is inelastic. The income elasticity was positive (0,611) shows that rice organic included in a category of normal good. Non-organic rice price cross elasticity was positive (1,454) means non-organic rice of substitution to organic rice. Chicken egg price cross elasticity was negative (-1,060) means egg of complementary to organic rice.Keywords: Demand, Elasticity, Organic Rice, Regression
Tingkat Kenyamanan Hunian Berdasarkan Kondisi Fisik Rusunawa Blok A dan Blok B Jalan Kom Yos Sudarso Pontianak
Authors: Ayuningtyas Riska Aprilia
Published: March 2021

Usaha pemerintah dalam memenuhi kebutuhan perumahan di kota – kota besar dengan tingkat kepadatan yang tinggi adalah dicanangkannya kebijakan pembangunan rumah susun. Tujuan pembangunan rumah susun adalah memenuhi kebutuhan rumah layak huni bagi masyarakat berpenghasilan rendah dan menciptakan lingkungan yang selaras dan seimbang. Namun demikian, kendala yang dihadapi dalam pembangunan rumah susun adalah kualitas bangunan berada di bawah standar serta penyediaan sarana dan prasarana kurang seimbang. Salah satu rumah susun di Kota Pontianak adalah Rumah Susun yang terletak di Kelurahan Sui Beliung, Kecamatan Pontianak Barat. Tujuan penelitian ini adalah untuk mengidentifikasi tingkat kenyamanan hunian berdasarkan kondisi fisik rumah susun. Metode yang digunakan dalam mencapai sasaran penelitian ini adalah dengan teknik observasi dan penyebaran kuesioner. Metode analisa yang digunakan adalah analisis deskriptif kualitatif yaitu penilaian observatif guna mengidentifikasi kondisi fisik hunian rumah susun, analisis skoring untuk mengidentifikasi persepsi penghuni terhadap kondisi fisik rumah susun dan untuk mengetahui kategori tingkat kenyamanan hunian rumah susun.