bluuebunny/crossref_metadata_2025 huggingface dataset:
Design Build Finding EO as A Web-Based Marketplace Event Organizer and Venue Apps
Authors: Husein Muhammad , Gede Dwidasmara Ida Bagus
Published: March 2021

Event in Indonesia is an activity that utilizes a place or service in the implementation of these activities. Many obstacles that currently often occur when an event wants to be held either in the limited availability of information about the Event Organizer or where the event is inadequate due to limited sources. The similar information provided only display Event Organizer or Venue, but this is limited by the absence of a system that fulfills the transaction process directly. In the era of the development of science and technology as well as industry 4.0 that continues to expand, business ideas emerge that are initialized into one of the web-based marketplace application platforms that are able to promote Event Organizer and Venue also provide information and Event Organizer and Venue ordering processes for Event Users. The system, entitled Finding EO, uses the Prototyping method and its developed with PHP Programming languages.
Optimization Artificial Neural Network Using Artificial Bee Colony in Letter Recognition Classification
Authors: Alit Indrawan I Gusti Ngurah , Widiartha I Made
Published: March 2021

Artificial Neural Networks or commonly abbreviated as ANN is one branch of science from the field of artificial intelligence which is often used to solve various problems in fields that involve grouping and pattern recognition. This research aims to classify Letter Recognition datasets using Artificial Neural Networks which are weighted optimally using the Artificial Bee Colony algorithm. The best classification accuracy results from this study were 92.85% using a combination of 4 hidden layers with each hidden layer containing 10 neurons.
Design Of Hybrid Cryptography With Vigenere Cipher And RSA Algorithm On IOT Data Security
Authors: Safira Maria Okta , Ari Mogi I Komang
Published: March 2021

In this paper two methods are used, namely the vigenere cipher method and the RSA method. The vigenere cipher method is an example of a symmetric algorithm, while RSA is an example of an asymmetric algorithm. The combination of these two methods is called hybrid cryptography which has the advantage in terms of speed during the encryption process. Each process, which is encryption and decryption, is carried out twice, so that security can be ensured. In the process of forming the key used the RSA method. In the encryption process using public keys that have been generated before when the key is formed. This public key is used in sending data to the recipient of a secret message where this key is used for the data encryption process. The Secret key is kept and will be used during the decryption process. There is a system architecture that describes how clients and servers communicate with each other over the internet using the TCP protocol where the client here is an IoT device and the server is a server.
Usability Analysis of Udayana University SIMAK System Interface
Authors: Adiartika Made Harry Dananjaya , Astuti Luh Gede
Published: March 2021

With the increasingly high level of exchange of information at this time, the demand for a system capable of managing all of that information is getting higher, where one of these systems is the Udayana University Student Management Information System (SIMAK) which has a vital role in the academic administration of Udayana University, which of course requires an interface that is easy to use so that it can speed up the process of academic administration, where it is one of the things that is often taken into consideration when designing an interface that is easy to use or user-friendly, to find out whether an interface from a user-friendly system can be done by testing the usability aspects of the system. Usability is one of the important aspects that must be fulfilled for a system where to find out whether the Usability aspect of a system is fulfilled, it can be tested using the Usability Testing method with questionnaire media, this study aims to examine the Usability aspects of the SIMAK system at Udayana University using the Usability method Testing with questionnaire media, where the results of this study indicate that the SIMAK system as a whole has met the Usability component with an average value of 3, which means that the SIMAK system of Udayana University already has a good Usability aspect value.
Pengembangan Aplikasi Monitoring Inventaris Kelas Dengan Sistem Barcode
Authors: Cahyadi Putra I Gusti Ngurah Anom , Mahendra Ida Bagus Made
Published: March 2021

Pada saat ini keberadaan teknologi sangat dibutuhkan oleh banyak masyarakat. Karena dengan teknologi, pekerjaan dapat diselesaikan dengan lebih mudah dan cepat. Melakukan monitoring inventaris kelas pada prodi teknik informatika selama ini masih manual dengan menggunakan selembar kertas. Kekurangan dari sistem manual ini, yaitu: kemungkinan untuk kehilangan data sangatlah besar, kesulitan untuk menganalisa kesimpulan data, dan kesulitan dalam hal monitoring inventaris kelas. Sistem monitoring invetaris kelas dibangun dengan database MySQL dan sistem barcode. Untuk membaca barcode digunakan smartphone android sehingga akan memudahkan user. Pembacaan barcode menggunakan smartphone digunakan dalam input data dan dalam melakukan monitoring inventaris kelas. Pada penelitian ini dihasilkan aplikasi untuk membuat barcode dan aplikasi untuk membaca barcode. Pada aplikasi ini dapat memberikan informasi barang yang terdapat di kelas, sehingga dapat memudahkan dalam mendapatkan informasi tentang barang inventaris kelas.
Sistem Jaringan Informasi Akademik di Sekolah Menengah Atas Negeri 1 Negara Berbasis Web
Authors: Maha Ni Made Krisna , Gede Suhartana I Ketut , Bayu Atmaja Darmawan I Dewa Made
Published: March 2021

Sistem Jaringan Informasi Akademik di Sekolah Menengah Atas Negeri 1 Negara berbasis Web merupakan sistem yang pada intinya menampilkan semua informasi mengenai kegiatan dan program-program sekolah termasuk informasi dalam penilaian belajar siswa dan siswa juga  dapat menyampaikan saran ataupun permasalahan yang berhubungan dengan kegiatan belajar-mengajar kepada pihak sekolah ataupun guru yang dimaksud. Publik atau masyarakat umum juga dapat mengetahui  informasi mengenai sekolah dan kegiatannya dengan adanya sistem informasi berbasis web ini.

Ruang lingkup sistem yang meliputi data kelas, data pelajaran, wali kelas, info sekolah dan data lainnya semua telah ditentukan oleh bagian urusan sekolah, jadi administrator hanya bertugas untuk menginputkan data yang telah disusun sebelumnya. Pembuatan sistem informasi berbasis web ini menggunakan bahasa pemrograman PHP dengan database server MySQL. Kedua bahasa pemrograman tersebut sering digunakan untuk membentuk web dinamis, karena kelebihan-kelebihan yang dimilkinya.

Dengan adanya sistem ini diharapkan akan memudahkan penyampaian informasi dengan efektif dan efisien dan dapat memberikan kemudahan dalam berkomunikasi antara instansi dalam hal ini pihak sekolah kepada para siswa, wali/orangtua siswa, guru dan masyarakat umum dimanapun dan kapanpun sepanjang masih terhubung dengan fasilitas internet.
Implementasi Sistem Absensi Mahasiswa Menggunakan Bluetooth Pada Program Studi Teknik Informatika FMIPA Universitas Udayana
Authors: Alit Indrawan I Gusti Ngurah , Agung Raharja Made
Published: March 2021

Seiring perkembangan teknologi yang semakin maju serta penggunaan hardware pada berbagai aktivitas kerja yang di dukung oleh berbagai macam software sebagai penunjang kebutuhan user yang sangat menjanjikan terutama untuk pengabsensian. Sistem absensi merupakan salah satu hal yang utama khususnya dalam suatu kehadiran. Bluetooth adalah sebuah teknologi komunikasi nirkabel (tanpa kabel) yang bekerja dengan cara mengirimkan data melalui sinyal radio pada frekuensi 2,4 GigaHertz. Sistem Absensi menggunakan Bluetooth merupakan sebuah aplikasi berbasis Android yang dapat digunakan untuk melakukan absensi mahasiswa dengan cara mencocokan Bluetooth address pengguna dan Bluetooth address ruangan kuliah sesuai dengan jadwal pengguna.

Keywords: Bluetooth, Android, Absensi
E-Commerce Mobile Based Application Foodienesia
Authors: Imersto Imersto , Mahendra Ida Bagus Made
Published: March 2021

Abstract

In this day and age the development of the e-commerce market is increasing. Lots of companies are on the rise, such as gojek, tokopedia, jd.id, lazada, blibli and many others. On the basis of this it is good to learn how to create one of these e-commerce. Because if we see now the e-commerce market is very profitable even arguably more profitable than retail stores. It is possible that in the coming years this e-commerce market will completely outperformed the retail market.

From this I saw a huge opportunity from the food industry in Indonesia especially since Indonesia is well known for its food, and I got the idea to create an e-commerce platform that allows someone to buy and sell food online. The platform is "Foodienesia". This platform will allow someone to join to buy and sell food online by using this platform. 

Keywords: E-Commerce, Food, Development, Platform, Buy and sell
Peningkatan Fungsi UKS Dalam Memberikan Pendidikan Kesehatan Awal Berbasis IPTEKPada Sekolah Dasar Desa Belatungan
Authors: Cahyadi Putra I Gusti Ngurah Anom , Eka Karyawati A. A. Istri Ngurah , Raharja Made Agung , Mastrika Giri Gst. Ayu Vida , Widiartha I Made
Published: March 2021

Usaha Kesehatan Sekolah (UKS) is a basic health business owned by a school. One of the functions of UKS is as a forum to provide early health education to school children. In primary schools the UKS maggot village does not function optimally, because there are no facilities and infrastructure to support UKS activities. Through the Udayana Mengabdi Program, assistance is provided for facilities and infrastructure, such as first aid kits, weighing instruments, temperature measuring instruments and height measuring instruments. Booked the administration of health records for elementary school students. From the programs that have been implemented, a survey is conducted to measure the success rate. After the service program was conducted the average level of knowledge of students about the function of UKS increased. As well as UKS in elementary schools, it should function properly as a place to provide early health education to elementary school children.
Pengaruh Membership Function Pada Fuzzy Dempster-Shafer
Authors: Gorianto Frisca Olivia , Santi Astawa I Gede , Arya Kadyanan I Gusti Agung Gede
Published: March 2021

Proses klasifikasi adalah proses pemberian label kelas terhadap sekumpulan data yang belum memiliki label kelas. Pada proses klasifikasi selalu akan muncul ketidakpastian. Ketidakpastian berupa kemungkinan bahwa label kelas yang dipilih tidak tepat sehingga menyebabkan keraguan. Salah satu metode untuk menangani hal ini adalah menggunakan metode Fuzzy dan Dempster – Shafer (DS). Penelitian ini akan mengkombinasikan tahap Fuzzification dari metode Fuzzy untuk mendapatkan nilai Belief yang kemudian akan digunakan pada perhitungan klasifikasi DS.

Penelitian ini bertujuan untuk mengetahui pengaruh dari penggunaan Membership Function (MF) yang berbeda – beda dalam proses klasifikasi serta parameter optimal masing-masing MF yang digunakan. Tahap Fuzzification menggunakan bentuk Membership Function (MF) segitiga dan bell untuk menghasilkan nilai kepercayaan atau nilai Belief terhadap kelas. Pengujian parameter kurva MF dibagi menjadi dua bagian perbandingan, yaitu bagian pertama adalah di mana parameter titik pusat kurva berada di dalam rentang data input yang dibandingkan dengan bagian kedua, yaitu menggunakan parameter titik pusta kurva yang berada di luar rentang data input.

Perbandingan parameter titik pusat kurva MF memberikan hasil bahwa parameter yang optimal bagi bentuk MF segitiga adalah a1 = a2 = 4, b1 = b2 = 10, c1 = 0 dan c2 = 11 dan bentuk MF bell adalah a1 = -11, b1 = 0, c1 = 11 dan a2 = 0, b2 = 1, c2 = 22. 2. Hasil penelitian menunjukkan bahwa bentuk MF bell dengan akurasi 88,87% lebih baik daripada MF segitiga.
Pengembangan Sistem Informasi Alumni Program Studi Teknik Informatika Fakultas Mipa Universitas Udayana
Authors: Budiman Muhammad Arief , Atmaja Darmawan I Dewa Made Bayu
Published: March 2021

Melihat dari permasalahan yang ada di Jurusan Ilmu komputer, PKL jurusan Ilmu Komputer dilaksanakan di dalam jurusan itu sendiri. Hal ini dilakukan untuk membuat salah satu bagian dari sistem informasi “SIKI”, yaitu pada bagian sistem informasi alumni yang dapat digunakan untuk memberikan informasi mengenai pendataan dan berita alumni yang ada di Jurusan Ilmu Komputer. Selain itu, informasi alumni juga memiliki peranan penting untuk pengembangan suatu institusi pendidikan. Karena alumni bisa berperan sebagai cermin kualitas sebuah institusi pendidikan di ranah publik. Dengan adanya informasi tentang alumni yang baik, secara tidak langsung dapat meningkatkan citra baik universitas terhadap masyarakat umum. Sampai saat ini masih banyak universitas yang belum memanfaatkan penggunaan sistem informasi dalam pendataan dan penelusuran alumni. Sehingga, untuk mempermudah memperoleh informasi tentang alumni Jurusan Ilmu Komputer Fakultas MIPA Universitas Udayana, diperlukan suatu sistem informasi yang dapat menginformasikan tentang alumni.
A Search Of File Journal With Query Word on List of Journal Document List Using VectorSpace Model Method
Authors: Khatami Maula
Published: March 2021

Journals are articles about research that are very useful among academics and students alike. Every time we learn a new knowledge, we certainly need a guide that is verified and also credible. Students and academics were greatly helped by this journal. With journals help students and academics get references from previous research and get more insights so that they are able to make a related research and can even be improved from previous research. However, there are still many students and academics who find it difficult to find the right journal for their needs. So here the authors make a research system of information retrieval about journal searches by querying words using the vector space model method. In the suffix tree clustering method and the Vector Space Model, each document and keyword that has been carried out by the Text Mining process is then given the weight of each word contained in each existing document with the Term Frequency - Inverse Document Frequency (TF-IDF) weighting algorithm.
Peringkas Teks Otomatis Berita Online Menggunakan Metode Cross Latent SemanticAnalysis & Cosine Similarity
Authors: Ubaidillah Muhammad Afif , Dwidasmara Ida Bagus Gede , Muliantara Agus
Published: March 2021

Ringkasan merupakan suatu cara yang efektif untuk meyajikan suatu karangan yang panjang dalam bentuk yang singkat. Walaupun bentuknya ringkas, namun ringkasan itu tetap memepertahankan pikiran pengarang dan pendekatannya yang asli. Namun dalam membuat ringkasan kita harus membaca berita atau artikel terlebih dahulu, sedangkan ringkasan dibuat dengan tujuan untuk meminimalkan waktu pembaca dan memberikan teks yang isinya langsung mengarah pada tujuan utama atau ide pokoknya. Pada penelitian ini memaparkan peringkasan teks otomatis berita online dari sebuah website menggunakan CLSA (Cross Latent Semantic Analysis) dan Cosine Similarity. Penelitian ini dilakukan untuk menguji seberapa baik hasil dan akurasi ringkasan yang dilakukan oleh CLSA dan cosine similarity. Penelitian ini menggunakan data sekunder dari berita dari media online yaitu web balipost.com dengan wilayah khusus Denpasar. Proses pengambilan data dilakukan dengan cara crawling. Data berita yang digunakan ialah sebanyak 161 berita, berita hasil ringkasan sistem nantinya akan dibandingkan dengan hasil ringkasan manual untuk mendapatkan akurasinya. Dari hasil pengujian yang dilakukan oleh sistem didapatkan nilai rata – rata akurasi F-Measure sebesar 58%, rata – rata Precision 62% dan rata – rata Recall 57%. Hasil dari penelitian peringkasan teks otomatis dari berita online dengan menggunakan metode CLSA dan cosine similarity memberikan hasil dan akurasi ringkasan yang cukup.

Keywords : ringkasan, peringkas teks otomatis, crawling, CLSA, cosine similarity
Game Edukasi Pengenalan Huruf Latin Menggunakan Template Matching Untuk Anak Usia Dini
Authors: Adiartika Made Harry Dananjaya , Wibawa I Gede Arta , Putra I Gusti Ngurah Anom Cahyadi
Published: March 2021

Masa Kanak – kanak merupakan masa yang penting bagi perkembagnan bagi seorang anak dimana pada masa tersebut anak – anak berada dalam fase dimana kemampuan motoric, sensorik maupun kognitif anak sedang mengalami perkembangan, tentunya ketiga kemampuan tersebut berkembang secara alami sejalan dengan usia anak, ketiga kemampuan tersebut juga dapat dikembangkan lebih lanjut lewat berbagai aktifitas baik fisik maupun mental, salah satu contoh aktifitas tersebut adalah menulis, menulis sendiri merupakan salah satu bentuk dari kemampuan kognitif yang penting dimiliki oleh seorang anak karena aktifitas menulis mendukung integrasi bahasa dan keterampilan literasi yang muncul meletakan dasar bagi keterampilan membaca anak, terdapat berbagai metode atau cara yang biasanya digunakan untuk mengajarkan anak untuk menulis, salah satu metode yang sering digunakan saat ini adalah belajar menulis sambil bermain, penelitian ini memanfaatkan metode tersebut untuk mengembangkan sebuah media interaktif yang dapat digunakan untuk belajar menulis serta mengenalkan karakter huruf alfabet (A-Z), (a-z) dan angka (0-9) kepada anak yang dibuat dalam bentuk sebuah game edukasi, game edukasi ini menggunakan metode Template Matching untuk menilai hasil tulisan tangan anak dengan mencari tingkat kemiripan atau kecocokan tulisan anak tersebut dengan template karakter yang disediakan.

Berdasarkan penelitian yang dilakukan, pengenalan karakter dengan metode Template Matching dinyatakan berhasil dalam mengenali hasil tulisan karakter anak, dimana didapatkan akurasi dari pengenalan karakter menggunakan metode Template Matching terhadap hasil tulisan karakter huruf alfabet (A-Z),(a-z) dan angka (0-9) yang didapatkan, menghasilkan akurasi pengenalan karakter untuk karakter huruf alfabet (A-Z) sebesar 88%, karakter huruf alfabet (a-z) sebesar 86%, dan karakter angka (0-9) sebesar 87%
Klasifikasi Citra Rontgen Gigi Berdasarkan Analisis Tekstur Untuk Diagnosis Karies Gigi Manusia Menggunakan Metode SVM
Authors: Noak Devin Reness
Published: March 2021

Gigi adalah suatu struktur berklasifikasi yang keras dan terdapat pada rahang manusia, memiliki struktur bervariasi dan keras yang jika tidak dirawat akan menimbulkan kerusakan yang dikenal dengan karies. Karies merupakan masalah gigi yang sering ditemui di Indonesia dan perlu penanganan dokter gigi dan rontgen untuk menegakan diagnosis yang tepat, namun beberapa dokter gigi kesulitan untuk meneliti hasil rontgen. Sekitar 53.3% dari 15 dokter gigi kesusahan untuk bisa mendiagnosis karies gigi dari hasil rontgen. Dari permasalahan tersebut penulis menggunakan metode SVM (Support Vector Machine) untuk membantu kerja dokter gigi mengidentifikasi gigi yang terdapat karies. Tahap klasifikasi yaitu pengumpulan data, preprocessing, ekstraksi fitur, klasifikasi dengan SVM. Hasil dari proses pengujian SVM adalah prediksi kelas dari citra inputan yang berupa rontgen. Dari hasil yang didapatkan secara keseluruhan dari pengujian akurasi program pada kasus klasifikasi citra rontgen gigi didapatkan adalah 82.00% dan dikategorikan “baik”.
Performance Evaluation of Contract Labor Using Cluster Analysis
Authors: Putra Putu Pasek Wahyu Chandra , Astawa I Gede Santi
Published: March 2021

The role of employees is needed to determine the success of a company. Performance appraisal performance is a way to measure the contribution made. One way to do an evaluation is by classifying the data. After the data is grouped into clusters, a ranking is done. Method used The Simple Additive Weighting (SAW) method is to find the weighted sum of the performance ratings for each alternative on all attributes. The criteria that will be used as a reference in making decisions are performance, presence and behavior. Very good performance was achieved by contract workers located in cluster 1, contract workers located in cluster 5 received a good rating, contract workers located in cluster 4 received a sufficient rating, contract workers located in cluster 4 received a bad predicate and contract workers located in cluster 3 get a very bad predicate. The purity method is used to measure the purity level of a cluster. The purity value obtained is 0.89 or 89%. Which indicates the accuracy value with the purity test is good because the purity value is close to 1
Polyclinic Visitor Pattern Discovery Using Apriori Algorithm
Authors: Dharma Teguh Satya , Suhartana I Ketut Gede
Published: March 2021

Living in an information era, the presence of data is super important. With the data exponentially grows from decades to decades, it reflect the old saying that people today are so rich with data yet so poor on information. To dissect the information that contained within the large amount of data, a method is introduced called “Data Mining.” Data mining is a process of retriving a unique, unseen, and valuable information/insight from the data. Data mining comes with a lot of methods branches, one of those is pattern analysis, or also known as “Association Rules”. With the help of Association Rules, people can discover the relational pattern within the data, so people can make the best decision on the period of time. In this study, the writer is implementing Apriori Algorithm (one of the Association Rules algorithm) to see the pattern of a polyclinic visitor.
Analysis of the Effect of Hidden Layer Units on Coronary Heart Prediction Using the Radial Basis Functions Algorithm
Authors: Semara Wijaya I Gede Bagus , Astuti Luh Gede
Published: March 2021

Heart disease is a disease that occurs due to disturbances in the heart, especially when pumping blood so that it can cause death. Nearly half of deaths in the United States and other developed countries are caused by heart disease. Therefore, an early prognosis of heart disease is needed to prevent the risk of coronary heart disease. One thing that can be done is to predict coronary heart disease sufferers using the neural network method. This study conducted an analysis of the effect of hidden layer units on the neural network radial basis functions algorithm to predict coronary heart disease sufferers. This study obtained the highest accuracy at 10 hidden layers, namely 85.08%.
Development of Augmented Reality (AR) Based Trompong
Authors: Danandjaya Gede Bagus , Wibawa I Gede Arta
Published: March 2021

In gamelan, one of the most important instruments is trompong. Trompong is an idiphones instrument that has 10 rows of round shaped metal called pencon. Every pencon has its own sound. As a traditional music instrument, of course gamelan especialy trompong must be preserved continuously. But unfortunately, playing Balinese gamelan with real instrument is hard to do because the difficulty to finding gamelan in the real world. By using technolgy such as Augmented Reality, playing trompong possible to do even without having the real instrument.  Augmented Reality will be develop using Unity 3D software along with Vuforia SDK, and also this application using Android smartphone as a base of Augmented Reality application. This Augmented Reality application called TrompongAR and will be marker based Augmented Reality, by using a target marker will help Augmented Reality to place where the 3-dimensional trompong will placed. The 3-dimensional trompong will have 10 pencon that can played by tapping the pencon, the touched pencon will produce sound like the real instrument.
The Influence of Changes in ANN Hidden Layer Unit and Feature Selection on Classification
Authors: Wijana Sawendo Eko , Astawa I Gede Santi , Karyawati AAIN Eka
Published: March 2021

Abstract

Classification is the process of differentiating a set of models into several data classes. There are many methods that can be used for the classification process, one of which is the Artificial Neural Network method. Neural networks are a computational method that mimics biological syafar networks. Artificial condition networks can be used to model complex relationships between input and output to recognize patterns in data [1]. In this study, testing was conducted to determine the effect of uncorrelated or low-correlation features in the data classification process and the effect of changing the number of units in the hidden layer on the classification results. The data used in this study were liver disease dataobtained from the Kaggle Dataset.Where in comparing the results of using feature selection, it is divided into 4 predetermined scenarios through the search for significance values ??with the SPSS correlation test.In the results of the implementation of the Multilayer Perceptron which aims to determine the effect of feature selection on the classification results, the results are that feature selection does not really affect the computation time obtained, and correlated data has more influence on the accuracy obtained when compared to uncorrelated data. In the results of the implementation of the Multilayer Perceptron which aims to determine the effect of changing the number of hidden layer units on the classification results, the results show that changes in the number of units in the hidden layer in Artificial Neural Networks have increased significantly in accuracy in several scenarios, but the computation time increases if the number of units in the hidden layer increases.

Keywords: Classification, Artificial Neural Network, Liver Disease, Accuracy, Time.
Web-based Image Steganography Application to Hide Secret Messages
Authors: Canistya Chandra Putu Isthu , Suhartana I Ketut Gede
Published: March 2021

The Internet has become a very popular medium for communicating and exchanging information data. However, with the development of technology, information data theft is becoming more frequent so it is very necessary to maintain the security of information data. To maintain the security of information data, steganography can be used, namely hiding data or information to a medium. Least Significant Bit (LSB) is a method that can be used to perform the insertion. The Least Significant Bit (LSB) replaces the insignificant or smallest bit value so that when an insertion is done, the difference is not clear. So, this research aims to make a steganography application using the Least Significant Bit (LSB) method.
Mangrove ecosystem Segmentation from Drone Images using Otsu Method
Authors: Pratiwi Ni Made Dinda , Widiartha I Made
Published: March 2021

Mangrove ecosystems are found mainly in tropical and subtropical coastal areas. they are playing a very important ecological role in land-ocean interfaces. These ecosystems are protecting the environment and providing a habitat that supports many living organisms. Identification of area images in mangrove ecosystems is very helpful in monitoring and conservation of this ecosystem. In this study, we will present the segmentation of drone image taken from TAHURA Ngurah Rai mangrove area using otsu method. The otsu method giving well accuracy to segmented image to divide mangrove area and non mangrove area. Because Otsu method operates on a grayscale image so that it cannot distinguish the dark green of the tree canopies from the dark shadows of the trees, then the segmentation accuracy will decrease.
Dermoscopy Image Segmentation in Melanoma Skin Cancer using Otsu Thresholding Method
Authors: Pitoy Pingkan Anggriani , Suputra I Putu Gede Hendra
Published: March 2021

Melanoma is a skin cancer that originates from melanocytes, melanin-producing cells in the skin. It requires quite a long time to detect melanoma through a biopsy. By utilizing technology, the time required to obtain biopsy results in detection of melanoma can be shortened using image pattern recognition. Segmentation is a stage that affects the results in image analysis for pattern recognition in digital images because of the accuracy of a confident segment in an image analysis. Otsu thresholding is a segmentation method aims to find the threshold point that divides the grayscale image of histogram into two different areas automatically. In this study, segmentation was carried out on 15 dermoscopy of melanoma images that were subjected to grayscaling, histogram, segmentation with Otsu Thresholding, binarization, image negation, and testing. The test carried out using the Receiver Operating Character (ROC) method exhibited a mean sensitivity level of 70.3%, a mean specificity level of 95.53%, and a mean accuracy of 94.82%.
Location Named-Entity Recognition using Rule-Based Approach for Balinese Texts
Authors: Anggita S Ni Putu Ayu Sherly , Sanjaya ER Ngurah Agus
Published: March 2021

In Natural Language Processing (NLP), Named Recognition Entity (NER) is a sub-discussion widely used for research. The NER’s main task is to help identify and detect the entity-named in the sentence, such as personal names, locations, organizations, and many other entities. In this paper, we present a Location NER system for Balinese texts using a rule-based approach. NER in the Balinese document is an essential and challenging task because there is no research on this. The rule-based approach using human-made rules to extract entity name is one of the most famous ways to extract entity names as well as machine learning. The system aims to identify proper names in the corpus and classify them into locations class. Precision, recall, and F-measure used for the evaluation. Our results show that our proposed model is trustworthy enough, having average recall, precision, and f-measure values for the specific location entity, respectively, 0.935, 0.936, and 0.92. These results prove that our system is capable of recognizing named-entities of Balinese texts.
Karakteristik dan Sebaran Sampah Terdampar di Kawasan Pesisir Taman Nasional Bali Barat
Authors: Pamungkas Putra Bagus Panji , Hendrawan I Gede , Giri Putra I Nyoman
Published: March 2021

The existence of marine debris can be a threat to marine ecosystems. Several studies have shown that marine debris can cause death of marine organisms and a degradation of ecosystems. The West Bali National Park (TNBB) is a conservation area in Bali that is also susceptible to be affected by marine debris pollution, due to its high population and anthropogenic activity in the area. Bali generates about 4.281 tons of waste per day, where 11% of it ends up in the ocean. Therefore, research about marine debris in TNBB is important. The purpose of this research is to find out the characteristics and distribution of stranded marine debris in the TNBB coastal area. This research was conducted in February 2020 at 23 stations by the shoreline. Marine debris data collection was carried out by adapting the method developed by the Commonwealth Scientific and Industrial Research Organization (CSIRO) Global Plastic Pollution Project. Marine debris exists along the coastline with the concentration range between 0.05 – 28.47 items/m2 with the average of 4.29 items/m2. As much as 92.3% of waste were plastic, dominated by three major debris classes, including soft plastic (44.8%), foam (30.8%), and hard plastic (12.4%). Marine debris in the area has various sizes and shapes. As much as 57.9% of debris at TNBB were whole items and the rest of it were fragment items. Marine debris size at TNBB tend to have a big relative size, i.e. between 8-16 cm (32%). Generally, marine debris at TNBB were mostly daily consumer items. Therefore, public awareness play an important role to decrease the amount of marine debris on the TNBB coastal area.
Skrining Fitokimia Ekstrak Daun Mangrove Rhizophora mucronata dan Rhizophora apiculata yang Dikoleksi dari Kawasan Mangrove Desa Tuban, Bali
Authors: Akasia Alanis Ismi , Nurweda Putra I Dewa Nyoman , Giri Putra I Nyoman
Published: March 2021

The content of secondary metabolite compounds in marine plants, especially mangrove has a certain bioactivity. Therefore, this study was aims to determine the content of secondary metabolites in the mangrove leaf extract of Rhizophora apiculata and Rhizophora mucronata. This study was conducted on January-April 2020. Sampling locations were carried out in the Mangrove Conservation Area of Tuban Village, Bali. In this study, samples were collected in the form of old leaves. The samples were taken in three sites and in each sites, 500 gr of leaves were collected randomly for each species. Therefore, in total we have 1.5 kg of leaves for each species. Samples are then extracted and tested to determine the content of secondary metabolites. The results showed the content of secondary metabolites in the leaves of R. apiculata mangrove were phenols, alkaloids, flavonoids, tannins, saponins, steroids while R. mucronata contained phenols, flavonoids, tannins, saponins, terpenoids.
Struktur Komunitas Ikan Karang di Area Ponton Quick Silver, Perairan Toyapakeh, Nusa Penida
Authors: Wicaksono Heru , Faiqoh Elok , Putra Dirgayusa I Gusti Ngurah
Published: March 2021

The availability of coral reefs as habitat is closely related to the exsistence of coral fish resources in the waters. Coral fish resources are very important for tourism, as an object sought after by tourist because of their diverse and charming colors and shapes. Reef fish abundance depends on coral cover. This research was conducted in February 2020. The percentage of coral cover was collected using the Under Water Potography Transect (UPT) method and the visual census method for reef fish communities at five research stations located in the area of the Quick Silver’s pontoon, Toyapakeh, Nusa Penida with area of 20.000 . Based on the results, the diversity index in the first data collection ranged from 3.18-3.76, which means the diversity isin the high category. On the other hand, the diversity index in the second data collections tends to decrease in the range of 2.66-3.40, which means that the diversity is in the medium to high category. The uniformity index for the first and second data collection falls into the category of distressed communities. The dominances index on the two data found inj the low category. From this research, it was also found that the percentage of live coral cover in the area of use of the Quick Silver pontoon ranged from 0.08% to 17.32%, which means that all research stations were classified as bad. These results indicate that the presence of reef fish is not only caused by live corals but also by anthropogenic activities of the pontoon, such as manual feeding by visitors. This condition applies to reef fish with omnivore eating behavior, one of which is the Pomacentridae family of the major fish group. These anthropogenic activities can change the composition of reef fish communities and increase abundance.
Pertumbuhan Transplan Karang Lunak Sinularia polydactyla dan S. asterolobata Berdasarkan Metode Tebar Dasar dan Penempelan Substrat Pada Lokasi yang Berbeda
Authors: Putra Jayantika I Dewa Anom Agung Dwi , Dharma IGB Sila , Widiastuti Widiastuti
Published: March 2021

Soft coral transplantations are widely used for rehabilitation of coral reef ecosystems and commercial needs with common method are substrated-attached and placed on the metal table frame. These methods are considered as costly. This study aimed to examine the difference in the average growth of transplanted soft corals Sinularia polydactyla and S. asterolobata, spreading on the seabed and substrate-attached methods at different location. Transplantation was conducted inside and outside Pegametan Bay, Buleleng. Soft coral fragments were spread on the seabed and attached with cement. The increased sizes and survival rates of the transplanted soft corals were observed every two weeks. The differences in the average growth rates among soft coral species, transplantation methods and locations were analyzed by three-factor ANOVA and survival rates were analyzed by using the Log-Rank test. The results showed no significant difference in the average growth rates between S. polydactyla and S. asterolobata (P =0,104) and transplantation methods (P=0,141). The average growth rate of transplanted soft corals outside was significantly higher (P=0,025) than those inside the bay. This study indicated that the interaction between soft coral species, methods, and location significantly differed the average growth rates of the transplanted soft corals. The average survival rates demonstrated that there was no significant difference among transplanted soft coral species within similar locations in both methods. In contrast, the average survival rates of transplanted soft coral outside were significantly higher than those inside the bay in both methods that reached >80%.
Pertumbuhan dan Tingkat Kelangsungan Hidup Transplan Karang Lunak Menggunakan Metode Gantung Pada Lokasi Budidaya yang Berbeda
Authors: Diputra I Gusti Ngurah Bagus Sukertha , Nuarsa I Wayan , Widiastuti Widiastuti
Published: March 2021

Besides the second largest community in the coral reef ecosystem, the attractive shapes and colors of soft corals establish it an export commodity for the marine ornamental aquarium. The transplantation methods in soft coral are limited. Commonly method for soft coral transplantation is attached to the artificial substrate followed by placed at table frame. However, this method is easily covered by algae and costly. One of the alternative methods is vertically hanging that this method commonly applied in hard corals transplantation. This study aimed to examine the average differences of growth rates among different transplanted soft coral species, different location, and the presence of interaction between soft coral species and location towards the difference of growth rates. Moreover, it determined the average survival rates among different transplanted soft coral species at different location. There were three soft coral species,  Lobophytum strictum, Sinularia polydactyla and S. asterolobata. They were fragmented at initial size ± 25 cm2, hanging vertically in 1.5 m length, and 0.03 m diameter followed by located inside and outside the Pegametan bay, Sumberkima village, Buleleng Regency. The increased size of each transplanted soft coral species and the number of survivals and environmental parameters were observed every two weeks for 12 weeks. The average in growth rates among species, location, and interaction was analysed using two ways Anova, whereas the survival rates were tested using Log-Rank. Results showed that the average growth rates of transplanted soft coral inside the bay were significantly higher (4.53 cm2) than outside the bay (1.64 cm2). Moreover, the average growth rates of transplanted S. polydactyla were significantly higher than others (5.22 cm2), (respectively; 2.35 cm2 and 1.7 cm2). It was also indicated that different location and species did not differentiate the transplanted soft corals' average growth rate. The survival rates of the transplanted soft corals in different location were not significantly different as well.
CHALLENGES IN THE DIAGNOSIS AND TREATMENT OF PATIENTS WITH COLORECTAL CANCER AND COVID-19 COINFECTION - CASE REPORT
Authors:   Department of general, abdominal and vascular surgery, Medical Institute – Ministry of Interior, Sofia, Stoyanov Vladislav , Bezhanova Svetlana
Published: March 2021

Patients with colorectal cancer (CRC) are more likely to become infected with COVID-19 than healthy individuals. The risk of comlications and death in COVID-19 positive colorectal cancer patients is higher due to treatments that suppress the immune system. We discuss a 71-year-old woman with a history of metastatic rectal cancer and underwent surgery and chemotherapy. With no clinical feathers of an acute abdomen or COVID-19 infection. Further researches are needed to rule out if COVID-19 can mask clinical and biological features presentation in cancer patients. Keywords: metastatic colorectal cancer, COVID-19 infection, surgical treatment
Structure-Based Design of Tetrahydroisoquinoline-Based Hydroxamic Acid Derivatives Inhibiting Human Histone Deacetylase 8
Authors:   Laboratoire de Physique Fondamentale et Appliquée (LPFA), University of Abobo Adjamé (now Nangui Abrogoua), Abidjan, Côte d’Ivoire, Megnassan Eugene , Fofana Issouf , Dali Brice , Koblavi Frederica Mansilla , Frecer Vladimir , Miertus Stanislav
Published: March 2021

We have designed new human histone deacetylase 8 (HDAC8) inhibitors using structure-based molecular design. 3D models of HDAC8–inhibitor complexes were prepared by in situ modification of the crystal structure of HDAC8 co-crystallized with the hydroxamic acid suberoylanilide (SAHA) and a training set (TS) of tetrahydroisoquinoline-based hydroxamic acid derivatives (DAHTs) with known inhibitory potencies. A QSAR model was elaborated for the TS yielding a linear correlation between the computed Gibbs free energies (GFE) of HDAC8–DAHTs complexation (∆∆Gcom) and observed half-maximal enzyme inhibitory concentrations (IC50exp). From this QSAR model a 3D-QSAR pharmacophore (PH4) was generated. Structural information derived from the 3D model and breakdown of computed HDAC8–DAHTs interaction energies up to individual active site residue contributions helped us to design new more potent HDAC8 inhibitors. We obtained a reasonable agreement ∆∆Gcom and values: (pIC50exp = – 0.0376 × ∆∆Gcom + 7.4605, R2 = 0.89). Similar agreement was established for the PH4 model (pIC50exp = 0.8769 × + 0.7854, R2 = 0.87). A comparative analysis of the contributions of active site residues guided the choice of fragments used in designing a virtual combinatorial library (VCL) of DAHT analogs. The VCL of more than 17 thousand DAHTs was screened by the PH4 and furnished 229 new DAHTs. The best-designed analog displayed predicted inhibitory potency up to 110 times higher than that of DAHT1 (IC50exp = 0.047 µM). Predicted pharmacokinetic profiles of the new analogs were compared to current per oral anticancer compounds. This computational approach, which combines molecular modelling, pharmacophore generation, analysis of HDAC8–DAHTs interaction energies and virtual screening of a combinatorial library of DAHTs resulted in a set of proposed new HDAC8 inhibitors. It can thus direct medicinal chemists in their search for new anticancer agents.
Osmotic Dehydration and Assessment of Quality Attributes of Seasonal Vegetable Crops: Carrot and Beetroot Cubes
Authors:   Department of Food Technology, Guru Jambheshwar University of Science and Technology, Hisar, Haryana-125001, India, Ali Shamsher , Sharma Alka
Published: March 2021

Fulfilling the food demand of a growing population is the biggest challenge as lot of food globally got wasted due to improper storage and processing. Osmotic dehydration offers high-quality preservation and maintenance of the integrity of fruits & vegetables. Response surface methodology was performed to estimate the main effect of osmotic dehydration process on quality attributes of carrot and beetroot cubes. Higher values of the osmotic solution of salt and sucrose at sample to solution ratio of 1:5 had provoked higher flows of water and solutes through the carrot and beetroot cubes. The range of NaCl concentration varies from 4-12 % w/v in carrot and 12-16 % w/v in beetroot for 2, 4 and 6 hour. However, sucrose concentration varies from 40-60º Brix in both carrot and beetroot. Quality attribute of carrot and beetroot including ascorbic acid, carotenoid, total phenol etc. didn’t changed on recommended process variables 50º Brix of sucrose + 8 % w/v sodium chloride for carrot and 50º Brix of sucrose + 14 % w/v NaCl for beetroot under osmotic dehydration for 4 hours. It was considered to get maximum water loss, weight reduction, subsequent rehydration ratio, overall acceptability and minimum solute gain of rehydrated product. Keywords: Osmotic dehydration; Carrot; Beetroot; Preservation; Response Surface Methodology
Extracellular production of Streptomyces ladakanum transglutaminase in a food-grade strain, Bacillus subtilis
Authors:   Key Laboratory of Agro-Products Processing，Ministry of Agriculture and Rural Affairs/ Institute of Food Science and Technology, Chinese Academy of Agricultural Sciences, Beijing 100193, People’s Republic of China, Wang Limin , Fu Lihong , Ju Jiansong , El-Shora Hamed M. , Zhang Shuwen , Yu Bo , Wang Limin , Lv Jiaping
Published: March 2021

Background: Transglutaminase (TG) is an enzyme of the transferase family with cross-linking properties, which has been widely used in the food industry. Traditionally, TG is isolated from strains of Streptomyces sp. However, the development of a facile and efficient production of commercial TG is always desirable. Purpose: In the current study, we described an efficient route for TG production in a food-grade strain of bacteria, Bacillus subtilis. Method: Two strategies were employed for the extracellular production of S. ladakanum TG in B. subtilis. Sixteen signal peptides were optimized to secret TG into the extracelluar medium. Site-directed mutageneses in pro-peptide were further utilized to improve the enzymatic activity. The enzymatic characteristics of S. ladakanum TG expressed in B. subtilis were analyzed. Results: The N-terminal amino acids played important roles in enzymatic activity. Signal peptides of SacB (SPSacB) and AbnA (SPAbnA) showed good abilities to direct the secretion of TG into the medium. The enzyme was secreted into the medium and exhibited good Ca2+ stability and temperature stability, which were comparable to those produced by commercial strains. The enzymatic activity in the supernatant of culture reached 7.6 U/mg. Conclusion: Our study demonstrated that B. subtilis may be a good candidate for the efficient and stable production of TG and has a much easier purification process. Keywords: Transglutaminase (TG), Streptomyces TG, Bacillus subtilis, Food-grade strain.
Emerging mycotoxins in botanicals: benefit and risk
Authors:   Laboratory of Toxicology and Food Chemistry, Faculty of Pharmacy, University of Valencia, Burjassot 46100, Valencia, Spain, Ferrer Emilia , Pallarés Noelia , Font Guillermina , Berrada Houda
Published: March 2021

Background: Fusarium species are responsible for production of emerging mycotoxins with cyclic hexadepsispeptides structures, like enniatins and beauvericin. Although these mycotoxins have not been regulated yet, their high prevalence in food and feed, as well as their potential toxic effects in humans and animals have made of them a burning issue and a threat to food security. Besides its inophoric properties, these mycotoxins may induce cells damages such as oxidative stress, mitochondrial modifications and the disruption on the cell cycle related to several health adverse effects such as immunotoxicity, genotoxicity, endocrine toxicity and neurotoxicity. Moreover, they showed interesting activity against various microorganisms and insects in several studies, leading to a potential use in pesticide and medicine research, as potential candidates for anticancer therapy. Botanicals can go contaminated by mycotoxins when the harvesting practices or manufacturing conditions are inadequate, which make mandatory their study. Methods: This review explores emerging mycotoxins occurrence in several botanicals forms and discuss their possible prejudicial and beneficial effects. Results: Several researchers have reported mycotoxins occurrence at low incidences and levels in botanicals. Despite emerging mycotoxins toxic effects, beneficial properties have been attributed to these mycotoxins by several authors. These compounds are related to insecticidal activity, antibacterial properties, and antifungal and antiviral activities. Cell organelles or enzyme systems are the targets in its antimicrobial activity. Data collected showed also that emerging mycotoxins are involved in capacity of the multidrug transport protein in human cancer cells modulation and apoptotic cell death induction, several researchers are explaining the possibility to employ them with medicinal purpose. Conclusion: More studies are required to explore enniatins and beauvericin possible applications in medicinal and pesticide research. Furthermore, it is important to highlight that the regulation of emerging mycotoxins in food must be revised and updated. Keywords: anticancer, antimicrobials, beauvericin, cytotoxicity, enniatins, medicinal plants.