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Analisis Sentimen Ulasan Aplikasi WeTV Untuk Peningkatan Layanan Menggunakan Metode K-Nearst Neighbor Nurkholimah Faridhotun; Elin Haerani; Reski Mai Candra
Journal of Information System Research (JOSH) Vol 4 No 3 (2023): April 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v4i3.3349

Online streaming applications are activities for watching movies that are very popular with the public, one of which is WeTV. WeTV is an online streaming that is used by the public as a medium of entertainment. The WeTV application has a rating of 4 out of 256 thousand reviews written by its users. The collection of reviews in the form of text can be collected and classified into negative responses, neutral responses, and negative responses. Positive responses are comments that are optimistic or supportive. Negative responses are comments on phrases or cases that do not support statements about related cases. Neutral responses are comments that are difficult to understand between negative or positive in nature to provide suggestions, sentences that have reviews from application users can be positive, negative and neutral, the data will go through a classification process using the K-Nearst Neighbor method. In this study, 12,000 reviews were used from the playstore. The research used the preprocessing stage, namely cleaning, case folding, tokenizing, normalization, stopword removal and steaming then to the TF-IDF stage and the final results will be tested with a confusion matrix using the Python programming language. The highest accuracy results from the testing process with a value of K = 3 in the dataset model 90% training data and 10% test data obtain an accuracy of 0.70%, precision 0.76%, recall 0.69%, f1-score 0.72% . Based on the results of the research that the K-Nearest Neighbor method is good in the process of identifying negative responses on WeTV.

Analisis Sentimen Ulasan Aplikasi Wetv Untuk Peningkatan Layanan Menggunakan Metode Support Vector Machine Rezky Abdillah; Elin Haerani; Reski Mai Candra
Journal of Information System Research (JOSH) Vol 4 No 3 (2023): April 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v4i3.3353

Wetv is an online streaming media that has been running since 2019. Wetv has many user reviews from various applications. The rating consists of positive, neutral and negative. The response is used to determine sentiment by using the support vector machine classification method. This study took 12,000 comments from the Google Play Store, this study used preprocessing namely, cleaning, case folding, tokenizing, normalization, stopword removal, and steaming, then to the TF-IDF stage and the final results were tested with a fusion matrix with the Python program, the score results highest from the acquisition test process with accuracy of 0.76%, precision of 0.77%, recall of 0.79%, and f1 score of 0.78, in a dataset of 90% training data and 10% test data. Based on the research results of the Support Vector Machine method which is known to be good in the process of requesting negative responses on WeTV.

Analisa Sentimen Ulasan Aplikasi Wetv Untuk Peningkatan Layanan Menggunakan Metode Naïve Bayes Novi Lestari; Elin Haerani; Reski Mai Candra
Journal of Information System Research (JOSH) Vol 4 No 3 (2023): April 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v4i3.3355

The most popular online streaming application is WeTV. WeTV is an internet-based streaming service that is used by the public as an entertainment medium. The WeTV application has been downloaded by up to 50,000 users. Application user ratings may affect the image of the application depending on the services provided by the application developer. Many positive, neutral and negative reactions have had a big impact on WeTV. Categorizing user ratings cannot be done manually because it is not easy with very large amounts of data. Therefore, the purpose of this research is to analyze the user rating of the WeTV application on the Goggle Playstore. In this study the processing steps consisted of cleaning, case convolution, tokenization, normalization, stopword and vape removal, after which it was continued with the TF-IDF step and the final result was a confused matrix using the Python programming language with Naive Bayes classifier. method in this research. Using 12,000 reviews found on Google Playstore. to generate positive, negative and neutral sentiments from Wetv application user comments in the play store. The test with the highest precision value of 0.64% with a -1 precision value of 0.58% in Class Recall gives a value of 0.89% in the 90%:10 balance model.

Clustering Vaksinasi Penyakit Mulut dan Kuku Menggunakan Algoritma K-Means Adrian Maulana; Alwis Nazir; Reski Mai Candra; Suwanto Sanjaya; Fadhilah Syafria
Journal of Information System Research (JOSH) Vol 4 No 3 (2023): April 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v4i3.3363

Foot and Mouth Disease (FMD) is a viral infectious disease that is acute and highly contagious in artiofactyl or even-toed hoofed animals. This disease is caused by tyoe A virus forum picornaviridae, genus Apthovirus namely Aphtaee epizootecae. This disease has a development period of 1-14 days since the infected animal. The defense of this virus is quite strong and survives in glands, milk bones and milk products. The morbidity rate is up to 100% and mortality is high in infected young animals. Areas with the highest transmission of foot and mouth disease are areas with high livestock density, so stricter biosecurity and animal traffic control must be implemented to prevent the disease. The problem in the Departement of Livestock and Animal Health of Riau Province is the difficulty in categorizing food and mouth disease vaccination data of which regions have done the first and second vaccine specifically for cattle in Riau Province. Therefore, this study will categorizing the first and sceond vaccine eith high immunity using K-Means algorithm. Parameter used are vaccination status, breed, gender and age. By applying the K-Means algorithm, two clusters are formed, namely the cluster with high immunity of 21232 cows, and the cluster with low immunity 48704 cows. Testing with DBI with K=2 produces a value of 0.416.

Analisa Website Donasi Rumah Tahfizh Menggunakan Metode PIECES Raja Sultan Firsky; Fadhilah Syafria; Muhammad Affandes; Reski Mai Candra; Lola Oktavia
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 6 (2023): Juni 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i6.810

One of the many media utilized on the internet is websites. Inadequate website performance, an abundance of irrelevant material, an unappealing website design, confusing navigation menus, and several other issues that influence website quality are issues that are frequently observed on websites. A non-profit organization called Rumah Tahfizh Donation operates a website with the domain donasirumahtahfizh.com that serves as a source of information for both website visitors and donors. The lack of website visitors is a problem Rumah Tahfizh Donation has to face. The more people who visit the website are needed so that more and more people know about the Rumah Tahfizh Donation, the more people want to donate through the Rumah Tahfizh Donation. You can use the PIECES Framework as a guide when creating the website in order to raise its quality. The PIECES Framework is a framework that has categories for dividing up issues and coming up with solutions. According to order, the classification is broken down into six groups: performance, information, economics, control, efficiency, and service. Further testing using the GTMetrix tool is required because the PIECES test has a flaw, notably the inability to acquire a load time score. Additionally, GTMetrix offers a grade that includes a score. The grade and score you receive go up the quicker the website loads

Analisis Performance Pada Layanan Internet Universitas Islam Indragiri dengan Menerapkan Metode Quality of Service Jefitra Abdu Ar Razzak; Iwan Iskandar; Nazruddin Safaat Harahap; Reski Mai Candra
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 6 (2023): Juni 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i6.901

The internet network can facilitate the learning process packaged in digital content. The use of the internet as a learning medium has become commonplace among students. With the internet as a learning resource, it is easier for us to access various sources of information. Therefore, it is necessary to measure and analyze the internet network to ensure that the network used does not hinder activities that require internet access. This research aims to analyze the performance of the internet service at the Islamic University of Indragiri using the Quality of Service (QoS) method. Measurements were conducted using the Wireshark application on 7 WiFi networks with 4 types of websites as testing targets. The four main parameters are throughput, packet loss, delay, and jitter. The research results show that during peak hours, the throughput at campus 1 and campus 2 is relatively low with a value of index 2, while during off-peak hours, the throughput at both campuses is at index 4. Packet loss at campus 1 during peak and off-peak hours shows low numbers with index 4. However, at campus 2, there is an increase in packet loss during peak hours with index 4. During peak hours, the delay at campus 1 is at index 4, and the delay at campus 2 is at index 3. During off-peak hours, the delay at both campuses is at index 3 and 4. During peak and off-peak hours, the jitter at both campuses is at index 4. Based on the analysis results, it can be concluded that the WiFi network at the Islamic University of Indragiri has good performance. However, better network management is needed to maintain optimal performance during peak hours.

Analisis Kualitas Jaringan Internet pada SMK Menggunakan Metode Quality of Service M. Septrio Rafinaldo; Iwan Iskandar; Nazruddin Safaat Harahap; Reski Mai Candra
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 6 (2023): Juni 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i6.903

One of the most common uses of Internet technology is in the field of education. The utilization of the Internet in education has long been employed by SMK Negeri 1 Tembilahan. This school utilizes internet connectivity as a tool and means to support the teaching and learning process. Therefore, the school must provide a reliable network service to ensure smooth learning experiences. This research aims to evaluate the quality of internet connectivity at SMK Negeri 1 Tembilahan using the Quality of Service (QoS) method with parameters such as throughput, delay, packet loss, and jitter. The study also analyzes the internet quality in each department of SMK Negeri 1 Tembilahan during peak and off-peak hours, involving both teachers and students as users. With a total of 1,307 users, the school utilizes an internet connection from an Indihome provider with a bandwidth of up to 300 Mbps. The test results indicate that the throughput, packet loss, delay, and jitter values are rated at index 4, categorized as "Very Good." However, it is worth noting that the throughput value for student users in the Design Communication Visual and Computer Network Engineering departments is rated at index 2, categorized as "Fair." These findings provide valuable information and insights for the school to assess the quality of internet services at SMK Negeri 1 Tembilahan in supporting teaching and learning activities. By addressing the identified issues, such as the lower throughput in specific departments, the school can take appropriate measures to enhance the internet infrastructure and improve the learning experience for students. This research serves as a valuable resource for the school administration to make informed decisions and improvements regarding the quality of internet connectivity, ultimately benefiting the teaching and learning process at SMK Negeri 1 Tembilahan

Implementasi Question Answering Berbasis Chatbot Telegram Pada Tafsir Al-Jalalain Menggunakan Langchain dan LLM Febrian Rizki Adi Sutiyo; Nazruddin Safaat Harahap; Surya Agustian; Reski Mai Candra
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 5 (2024): April 2024
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i5.1784

Technological developments are very important for efficient, accurate and fast information retrieval. Tafsir Al-Jalalain is one of the famous Tafsir Al-Qur’an, and is used as a source of life guidance for muslims. To get information about tafsir, you can go through information media such as the internet or from experts in Tafsir Al-Qur’an. However, to get information it takes a lot of time to filter the information efficiently, accurately and quickly. This problem requires a system that is able to answer human questions accurately, effectively and quickly. In this research, it is hoped that the implementation of telegram Chatbot-based Question Answering using Langchain and LLM will be a solution for providing information on Tafsir Al-Jalalain that is accurate, effective and fast. The Question Answering system will carry out learning on the Tafsir Al-Jalalain data using a language model, namely the Large Language Model, so that it is expected to be able to provide accurate, effective and fast information. The evaluation results of the research by distributing questionnaires to students majoring in Al-Qur'an and Tafsir Science at UIN SUSKA Riau, as many as seven respondents, obtained a percentage of 84.29%

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