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Analisis Evaluasi Aplikasi Augmented Reality Untuk Informasi Kebudayaan Bali Berdasarkan Standar ISO 25010 Andika, I Gede; Yanti, Christina Purnama
Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol 1 No 1 (2018): Jurnal RESISTOR Edisi April 2018
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (798.74 KB) | DOI: 10.31598/jurnalresistor.v1i1.241

Abstract

Currently there are still many people of Bali who just know the museum is a place to store historical items but are reluctant to come. Therefore built an application that combines smartphone technology with Augmented Reality so that later can attract people to come visit the Museum of Bali. In order to obtain application results that meet the standards, evaluation is required to assess the quality of an application based on ISO 25010 standards. The software quality standards that are tested are aspects of functional suitability, usability, performance efficiency, and compatibility. Based on the results of all research that has been done, it can be concluded that the quality of Augmented Reality Museum Bali application has met the software quality standards that refer to the ISO 25010 standard. The result of testing the aspect of functional suitability is 100%. Usability aspect got the conclusion that AR Museum Bali application have aspect of learnability, efficiency, memorability, and satisfaction with good category. Performance performance aspect is 3 test and get average response time test 1 is 27.29 ms; test 2 of 38.52 ms; and test 3 of 20.31 ms. The compatibility aspect is 100%.
PENGARUH PEMBERIAN DAUN SUNGKAI (Peronema canescens) TERHADAP KADAR GGT PADA MENCIT (Mus musculus) ALERGI Rahma, Rezky Nurul; Wiyadi, Wiyadi; Andika, I Gede
Jurnal Ilmu Kedokteran dan Kesehatan Vol 11, No 3 (2024): Volume 11 Nomor 3
Publisher : Prodi Kedokteran Fakultas Kedokteran Universitas Malahayati

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33024/jikk.v11i3.12195

Abstract

Abstrak: Pengaruh Pemberian daun Sungkai (Peronema canescens) Terhadap Kadar GGT Pada Mencit (Mus musculus) Alergi. Reaksi alergi atau hipersensitivitas adalah reaktivitas khusus dari kepekaan host. Hipersensitivitas atau alergi, terjadi reaksi imun berlebihan kemudian menimbulkan kerusakan jaringan salah satunya yaitu kerusakan pada jaringan hati. GGT (Gamma Glutamyl Transferase) merupakan salah satu metode pemeriksaan gangguan hati. Salah satu alternatif yang dapat digunakan sebagai proses penyembuhan dari inflamasi adalah dengan pemberian Daun Sungkai (Peronema canescens). Beberapa kandungan senyawa metabolik sekunder pada daun Sungkai (Peronema canescens) yaitu flavonoid, saponin, alkaloid, steroid, tanin, dan fenolmemiliki aktivitas sebagai anti inflamasi. Metode: Penelitian eksperimen murni dengan metode pretest dan posttest control group design menggunakan 3 kelompok hewan coba mencit yaitu kelompok kontrol, kelompok alergi, dan kelompok alergi yang diberi daun sungkai. Analisis statistik yang digunakan yaitu Uji Kruskal Wallis. Hasil: Menunjukkan bahwa pada kelompok mencit alergi yang diberi daun sungkai mengalami penurunan kadar GGT. Uji statistik menggunakan Uji Kruskal-Wallis terdapat pengaruh yang signifikan pemberian daun sungkai (Peronema canescens) pada kadar GGT mencit alergi dengan nilai p 0,000. Kesimpulan: Terdapat pengaruh pemberian daun sungkai (Peronema canescens) terhadapt penurunan kadar GGT pada kelompok mencit alergi.
MEDIA PEMBELAJARAN PENYETABIL TEGANGAN CATU DAYA PADA MATA KULIAH RANGKAIAN LISTRIK andika, i gede; RATNAYA, I GEDE; Made Surya Bumi Pracasitaram, I Gede
Jurnal Pendidikan Teknik Elektro Undiksha Vol. 12 No. 3 (2023): JPTE Periode Desember 2023
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jjpte.v12i3.66510

Abstract

This research has the goal of making Power Supply Voltage Stabilizer Learning Media in the Electrical Circuits Course which will be used to support learning activities in the Electrical Circuits Course. This research belongs to the type of research and development R&D (Reasearch and Development). The research used data collection instruments by media experts and content experts as well as student responses in the form of questionnaires. The existing sample used a random sampling technique on Undiksha Electrical Engineering Education students. From the results of the study obtained 92.3% results in the media expert trial, and 95.4% in the content expert trial with a percentage of 100% with very decent qualifications. The range of scores of 5 respondents in the small group test for the whole statement obtained a very good classification and the results for the range of scores of 15 respondents in the overall large group test included a very good classification. Based on the research results, the Power Supply Voltage Stabilizer Learning Media in the Electrical Circuits Course is feasible to use and gets a positive response from students in the process of learning Electrical Circuits.
TPHerbleaf : Dataset Untuk Klasifikasi Jenis Daun Tumbuhan Herbal Berdasarkan Lontar Usada Taru Pramana Dewi, Ni Putu Dita Ariani Sukma; Kesiman, Made Windu Antara; Sunarya, I Made Gede; Indradewi, I Gusti Ayu Agung Diatri; Andika, I Gede
Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol. 6 No. 2 (2023): Jurnal RESISTOR Edisi Agustus 2023
Publisher : Prahasta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/jurnalresistor.v6i2.1421

Abstract

Tumbuhan herbal ialah jenis tumbuhan yang dimanfaatkan dalam bidang kesehatan. Tumbuhan herbal umumnya dikenali dari daunnya karena daun mudah dibandingkan dengan bagian tumbuhan lainnya seperti bunga, buah, atau akarnya. Minimnya pengetahuan mengenai jenis tumbuhan herbal dan kemiripan jenis morfologi daun merupakan tantangan yang ditemui dalam pengenalan tumbuhan herbal, sehingga sulit untuk mengenali tumbuhan herbal terutama bagi orang yang tidak memiliki pengetahuan botani. Penelitian ini bertujuan untuk membuat dataset citra daun tumbuhan herbal bernama TPHerbleaf. Dataset ini akan digunakan untuk mengenali dan mengklasifikasikan jenis daun tumbuhan herbal berpedoman pada Lontar Usada Taru Pramana yang merupakan kearifan lokal masyarakat Bali dalam pengobatan tradisional dan telah dikaji secara ilmiah. Metode untuk klasifikasi tumbuhan herbal menggunakan EfficientNet B2 yang menghasilkan nilai akurasi 97,5% untuk training, 81,77% untuk validation, dan 83,49% untuk testing. Dengan menggabungkan pengetahuan tradisional dengan teknologi modern, penelitian ini diharapkan dapat memberikan kontribusi dalam meningkatkan pemahaman serta pelestarian warisan budaya melalui aplikasi praktis dalam bidang klasifikasi citra.
Rancang Bangun Aplikasi Transliterasi Aksara Bali Menjadi Huruf Latin Menggunakan Metode Rule Based Pada UTF-16 Berbasis Android Aranta, Arik; Andika, I Gede
Jurnal RESISTOR (Rekayasa Sistem Komputer) Vol. 6 No. 3 (2023): Jurnal RESISTOR Edisi Desember 2023
Publisher : Prahasta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/jurnalresistor.v6i3.1426

Abstract

Balinese script is a script that has been used by Balinese tribes since ancient times, as evidenced by thediscovery of 2,103 ancient lontars using Balinese script in Klungkung, Bali. Currently, Google alreadyhas a virtual keyboard that can be downloaded to a smartphone. This Google keyboard already hasBalinese script mode that the letters was based on Unicode, but it still doesn't have a feature that canread Balinese script into Latin letters. By combining these two problems, a study was designed aboutmaking applications that can preserve Balinese script by utilizing the Balinese script keyboard featureprovided by Google to be transliterated into Latin letters. In this study, a rule based method is used toperform transliteration in order to be able to adjust to the rules of reading Balinese script correctly. It isalso used to provide ID for each Balinese character using hexadecimal based on the UnicodeTransformation Format-16 code for each character. The application was built by implementing of total940 rules and 33.253 words, after testing the application the result obtained from the transliterasionreach 99.4% of succeed from 1104 Balinese script words.
PEMBUATAN RAK PADA CV. AYUNA SILVER UNTUK MEMBANTU MENGATUR LETAK CETAKAN CINCIN Dirgayusari, Ayu Manik; Andika, I Gede; Desnanjaya, I Gusti Made Ngurah; Hartawan, I Nyoman Buda; Nirwana, Ni Kadek Ayu; Wiradana, I Made Adi
PUAN INDONESIA Vol. 5 No. 2 (2024): Vol. 5 No. 2 (2024): Jurnal Puan Indonesia Vol 5 No 2 Januari 2024
Publisher : ASOSIASI IDEBAHASA KEPRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37296/jpi.v5i2.187

Abstract

The ring mold storage rack created is equipped with a ring mold search system as an alternative for the automatic ring mold search process. This system is built with several supporting components such as ESP32 microcontroller, Servo Motor, L9110 Motor Driver, DC Gearbox Motor, 16x2 LED. The result of this service activity is the creation of an automatic ring mold storage rack which is able to simplify and reduce the time of the ring mold searching process at CV. Ayuna Silver. The final results obtained from several testing processes carried out contained 3 invalid results from 10 system tests, this shows that the system has a system success percentage of up to 70%. The time needed to search for rubber molds before the automatic ring mold storage rack was around 20 minutes, after the automatic ring mold storage rack was installed using a mobile system, it was only take 0.20 minutes or 12 seconds.
Analisis Quality of Service Protokol MQTT, HTTP, dan CoAP dalam Pengiriman Data ke Thingsboard Kurniawan, I Kadek Yogi; Andika, I Gede; Antara, I Gede Made Yudi; Desnanjaya, I Gusti Made Ngurah; Ekayana, Anak Agung Gde
INFORMAL: Informatics Journal Vol 9 No 1 (2024): INFORMATICS JOURNAL (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v9i1.43986

Abstract

The Internet of Things allows a sensor node to collect data from a place and send it to the Internet of Things platform. In its application, the Internet of Things has several protocols for sending data such as Message Queue Telemetry Transport (MQTT), Hyper Text Transport Protocol (HTTP), and Constrained Application Protocol (CoAP). These three protocols have their own characteristics and differences. For this reason, it is necessary to analyze the performance of these three protocols. This research focuses on analyzing the comparison of the Quality of Service of these three protocols in terms of packet loss, delay, and jitter parameters with the object used is sending temperature data to Thingsboard. The result shows that MQTT excels in sending data with short time intervals and CoAP excels in sending data with long time intervals.
Decision Support System Design and Development for Determine Graduate Phase of College Students with Naïve Bayes Algorithm Web-Based in Indonesia Institute of Business and Technology Adyana, Andres; Dirgayusari, Ayu Manik; Maharani, Nia; Andika, I Gede; Supartha, I Kadek Dwi Gandika
BERKALA SAINSTEK Vol 11 No 1 (2023)
Publisher : Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/bst.v11i1.33385

Abstract

In the course of the lecture period, each student is different, various factors can affect the mental and academic achievement of students which have an impact on their graduation period. This things also impact on the campus of the Indonesian Institute of Business and Technology, until now there is no system that can determine the graduation period of students at the campus, therefore it is necessary to build a decision support system to determine the graduation period of students, especially students in the Informatics Engineering Study Program and Program Study of Computer Systems at the Indonesian Institute of Business and Technology (INSTIKI) using the Naïve Bayes algorithm that utilizes parameters, namely student academic data consisting of work status, Semester Achievement Index (IPS) scores semesters one untill four, and Grade Point Average (IPK). The system designed by using the GaussianNB library in python and website based. From the results of this study, the accuracy of the model made on the system produces an accuracy value of 87.5% with a dataset rule of 800 data and the data is divided and used as test data by 20%, while the accuracy value of classifying 250 test data on the system is 80.8%.
Analisis Sentimen Opini Publik Terhadap Konser Coldplay Di Jakarta Pada Twitter Menggunakan Metode Support Vector Machine Hidayatulloh, Fachmi; Andika, I Gede; Suryawan, I Wayan Dharma; Ariantini, Made Suci; Sudipa, I Gede Iwan
INFORMAL: Informatics Journal Vol 9 No 2 (2024): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v9i2.46046

Abstract

Advances in information and communication technology are changing the way humans obtain information. One of them is through social media Twitter. Twitter is a social media that is famous as a medium for general public opinion. There are many discussion topics that people respond to on Twitter. One of the topics on Twitter social media that is trending is related to the Coldplay Jakarta concert. The Coldplay Jakarta concert event received various responses from netizens. This is because the public is very enthusiastic about watching this British music group. However, public enthusiasm did not run smoothly due to the emergence of various phenomena and problems that occurred before and after this event was held. Therefore, the sentiments given are very diverse. Starting from negative sentiments to positive sentiments. The sentiment analysis process can find and solve problems based on public sentiment on Twitter. The dataset was obtained through a data crawling process using Google Colabs with the Python programming language. The total dataset obtained was 1,831 raw datasets. After that, the dataset is processed in data cleansing which aims to remove components that are not needed in sentiment analysis. Next, the dataset is labeled negative and positive. Then pre-processing is carried out on the data that has been previously labeled, and a word weighting process is also carried out using Term Frequency - Inverse Document Frequency (TF-IDF). After that, modeling was carried out using the Support Vector Machine classification method and the final process was test evaluation. The number of datasets obtained after going through the cleaning and labeling process is 1,000. The dataset is divided into training data and test data in a ratio of 80:20. The results obtained from the Support Vector Machine method show an accuracy percentage of 80.97%, precision of 81.59% and recall of 79.12. The sentiment test results from the test data were 107 positive and 93 negative
Restructuring Arsitektur Backend Aplikasi XYZ Berbasis Microservice Merta, I Kadek Priyana Adi; Andika, I Gede; Supartha, I Kadek Dwi Gandika; Ariana, Anak Agung Gede Bagus; Adnyana, I Gede
INFORMAL: Informatics Journal Vol 9 No 2 (2024): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v9i2.48699

Abstract

This research aimed to restructure the backend architecture of the XYZ application prototype using Microservice architecture. Load testing was conducted to compare the performance of the initial prototype backend and microservice architecture on response-time, throughput, and latency metrics. The restructuring method used was arranged in 4 stages with a total of 7 activities. In the first stage, system analysis was conducted on the XYZ application prototype. In the second stage, architecture decomposition, consisting of 3 activities, which were identifying system operations, identifying services using domain-driven design decomposition, and defining services and collaboration, was performed. In the third stage, database requirements analysis was performed on the microservice architecture that had been formed. In the fourth stage, the database design and microservice backend were implemented and tested using 3 different amounts of data, which were 56, 112, and 210, against 14 endpoints on both the prototype backend and the microservice backend. Based on the test results taken from the Apache JMeter Listener, it showed that the prototype backend showed superior performance in testing per endpoint, but in the overall test, the microservice backend showed better performance with a 2,4% faster response time, 1,8% higher throughput, and 2,4% lower latency. There is a pattern that shows the dominant microservice backend excels in tests with the last data, Data 210, in all metrics measured.