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Switch: Jurnal Sains dan Teknologi Informasi
Published by Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia
ISSN : 30323339     EISSN : 30323320     DOI : 10.62951
Core Subject : Science,
Computer Science & IT
Switch : Jurnal Sains dan Teknologi Informasi memuat hasil-hasil penelitian di bidang Sains dan Teknologi Informasi
Arjuna Subject : Ilmu Komputer (semua kategori) - Sistem Informasi
Articles 74 Documents
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Klasifikasi Tingkat Kepuasan Masyarakat Penggunaan BPJS Kesehatan di Kota Binjai Menggunakan K-Means Clustering Nadila Rahmawati; Relita Buaton; Indah Ambarita
Switch : Jurnal Sains dan Teknologi Informasi Vol. 2 No. 1 (2024): Januari : Switch: Jurnal Sains dan Teknologi Informasi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/switch.v2i5.188

Abstract

The health Social Security Administering Agency (BPJS) is a legal entity specifically assigned by the government to administer social security. Seen in the vision and mission of the Long Term Develompment Plan For the Health Sector 2005-2025, namely that the community is expacted to have the ability to access quality health services and also obtain heald insurance, namely that the community gets protection in meeting their basic health needs. Especially for the people of Binjai city, to see the level of satisfaction of peolbe using BPJS Health in the city of Binjai, it is necessary to build a clustering that can group the level of satisfaction in each domicile. Data Mining Grouping using the K-Menas Clustering algoritma metdhod, which is a process of processing quite large amounts of data using statistical methods, this producing a group of data. It is hoped that clustering can complete the grouping of satisfaction levels of BPJS user commuites in the city of Binjai. There are 400 data from correspondent responses from the community regarding the level of satisfaction in using BPJS Health in the city of Binjai. From the results of trials with 400 data carried out with MATLAB, it was found that group 3, cluster 1, had 244 data, cluster 2 had 69 data, cluster 3 had 87 data, group 4 cluster 1 has 78 data, cluster 2 68 data, cluster 3 has 109 data, group 5 cluster 1 has 63 data, cluster 2 has 63 data, cluster 3 has 145 data, cluster 4 has 24 data, cluster 5 has 100 data.
Prediksi Jumlah Pendonor Darah di Kabupaten Langkat Menggunakan Metode Regresi Linear Fajar Amalia Putri; Relita Buaton; Selfira Selfira
Switch : Jurnal Sains dan Teknologi Informasi Vol. 2 No. 1 (2024): Januari : Switch: Jurnal Sains dan Teknologi Informasi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/switch.v2i5.189

Abstract

A blood donor is someone who wants to donate their own blood to people in need without any element of coercion from anyone. Predicting the number of blood donors is very important and necessary to find out the number of blood donors in Langkat Regency in 2023-2024, and the prediction results can help PMI Langkat Regency in increasing the number of blood donors. The method applied in this prediction system is Linear Regression, where this analysis determines whether or not each variable is in accordance with the prediction results being tested and estimates that the value of the variable will increase or decrease each month. The prediction system is carried out using the RapidMiner application because this application is very appropriate for producing information output in the form of prediction results for the coming year. The prediction results obtained by testing using the Linear Regression method show increases and decreases every month. There are 11 months where there has been an increase and decrease in the predicted results and are in accordance with the data in 2023, then there is 1 month which has decreased in the predicted results and does not match the data in 2023. From the overall data results, it can be calculated the number of blood donors in Langkat Regency in 2023 and every month. Measuring the error level of prediction results using RMSE, the resulting accuracy level was 83.574%.
The Relationship of Interest and Metacognitive Ability through a Project-Based Learning Model on Reaction Rate Materials at Dian Harapan Holland Village Manado School Miracle Lendo; Soenandar M. T. Tengker; Jeanne Tuerah
Switch : Jurnal Sains dan Teknologi Informasi Vol. 2 No. 1 (2024): Januari : Switch: Jurnal Sains dan Teknologi Informasi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/switch.v2i5.190

Abstract

This research using the PTK (Classroom Action Research) method which aims to be able to find efforts to increase student activities through project-based learning models, to improve cognitive abilities and student learning interests. Learners are educational subjects considered active in shaping their chemistry learning achievement. The subjects this study is students of class XI IPA 2 SMA Dian Harapan Holland Village Manado. The focus of this research is the cognitive ability and learning interest of students. The results showed that the cognitive ability and interest in learning class XI IPA 2 SMA Dian Harapan Holland Village Manado there is an increase marked by an increase in the average score from cycle I to cycle III. There was also an increase in the activity of students. Therefore, the implementation of the Project Based Learning Model (PjBL) can provide a good and positive response for students.
Penerapan Algoritma Linier Congruent Method Pada Pengacakan Soal Ujian Berbasis Online di SD Muhammadiyah Sei Cabang Debby Ade Prastiwi; Akim M.H. Pardede; Zira Fatmaira
Switch : Jurnal Sains dan Teknologi Informasi Vol. 2 No. 3 (2024): Mei : Switch: Jurnal Sains dan Teknologi Informasi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/switch.v2i5.192

Abstract

This study was conducted at SD Muhammadiyah Sei Cabang, a private school in Langkat Regency, which still uses manual examination methods with identical questions for all students. This method is considered ineffective because it allows students to cheat, leading to exam results that do not accurately reflect their abilities. To address this issue, the study developed a web-based examination system using the Linear Congruent Method (LCM) to generate randomized question numbers. With LCM, each student receives a different set of question numbers, making the exam process more effective and fair. The system was built using PHP programming language and MySQL database, enabling efficient data storage and processing. The implementation of this system resulted in improved accuracy in assessment and reduced cheating potential during exams at the school.
Pengelompokan Tingkat Kecerdasan berdasarkan Kecerdasan Ganda (Multiple Intelligence) Anak di Sekolah Menggunakan Metode Clustering: Studi Kasus: SD Islamiyah Adinda Maudia Savira; Relita Buaton; Juliana Naftali Sitompul
Switch : Jurnal Sains dan Teknologi Informasi Vol. 2 No. 3 (2024): Mei : Switch: Jurnal Sains dan Teknologi Informasi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/switch.v2i5.197

Abstract

Education is an important place for students to develop their potential based on their intelligence. Multiple intelligences offer an approach that considers the various potentials of students in the learning process. SD Islamiyah, as an educational institution with a vision to produce intelligent and creative generations, faces challenges in delivering learning that meets the needs of students. To address this issue, a system is needed that can analyze and group students based on their intelligence levels using the clustering method. This study is inspired by the application of data mining in the educational context, particularly in adapting the clustering method as applied in other related research. Previous research has demonstrated the success of the clustering method in accurately grouping data, as seen in studies related to flood warnings and cesarean operations. By applying a similar approach, this research aims to assist SD Islamiyah in identifying and grouping students based on their potential, thereby facilitating a more effective learning process tailored to the individual needs of students. The results of this study are expected to contribute positively to improving the quality of education at SD Islamiyah and provide a foundation for the development of more advanced decision support systems in the future
Penggunaan Metode Rough Set Pada Pola Minat Dan Bakat Siswa Dalam Menentukan Tema P5: Studi Kasus : SMPS Esa Prakarsa Febi Andini; Relita Buaton; Imeldawaty Gultom
Switch : Jurnal Sains dan Teknologi Informasi Vol. 2 No. 3 (2024): Mei : Switch: Jurnal Sains dan Teknologi Informasi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/switch.v2i5.210

Abstract

This research aims to identify the patterns of students' interests and talents at Esa Prakarsa Junior High School and apply the Rough Set method in data analysis to determine the most appropriate theme of the Pancasila Student Profile Strengthening Project (P5). The study involved data collection from 178 students through a questionnaire designed to explore their interests and talents. The results of the analysis showed a significant correlation between the patterns of interest and talents of students with the selection of the P5 theme. The Rough Set method successfully identified relevant rules, such as students who have an interest in the field of art are more suitable for the theme of sustainable lifestyle, while talented students in the field of sports are more in line with the theme of Build the Soul and Body. The use of Rosetta software in data analysis provides recommendations for interesting and relevant P5 themes, supporting the achievement of national education goals in forming a young generation with character and competence. This research is expected to provide guidance for schools in developing P5 themes that are more relevant and interesting for students, as well as improving learning outcomes based on their interest and talent characteristics.
Penggunaan Metode Dempster Shafer untuk Mendiagnosa Penyakit Varicella Zoster Rahayu Utami; Novriyenni Novriyenni; Rusmin Saragih
Switch : Jurnal Sains dan Teknologi Informasi Vol. 2 No. 3 (2024): Mei : Switch: Jurnal Sains dan Teknologi Informasi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/switch.v2i5.221

Abstract

Varicella Zoster or known as chickenpox is an infectious disease caused by the Varicella Zoster virus (VSV). Chickenpox is a worldwide airbone disease. Transmission of Varicella zoster is through the air which spreads through coughing and sneezing and also through direct contact with skin lesions. This varicella disease is less of a concern for the public because of the assumption of the public that Varicella Zoster will heal on its own. Where there should be a consultation media and knowledge that can be used by the community in the prevention of varicella disease early on children. So that not every patient brought to the hospital was found to be a patient who had been infected for several days until it was severe to be treated and treated for Varicella Zoster disease. Varicella zoster disease consists of firepox (shingles) which is a follow-up infection of the virus that causes chickenpox. Chickenpox is a viral infection that causes itching on the skin and is characterized by a rash or red spots filled with fluid called elastic. The Dempster Shafer Method is the Dempster Shafer Method, which is a mathematical theory to prove based on belief function and plausibility. Belief indicates a measure of the strength of evidence in supporting a hypothesis, while plausibility indicates a state of trustworthiness. Based on the weight value given by experts on each Varivcella Zoster disease symptom data, from the results of the analysis carried out in the previous chapter, the results of the diagnosis of Varicella Zoster with the type of firepox disease (Herpes Zoster) with a density value of 98.08% were obtained. Keywords: Dempster Shafer, Diagnosis, Varicella Zoster
Clustering Menggunakan Algoritma K-Means untuk Mengelompokan Data Perjudian Berdasarkan Wilayah di Kota Binjai (Studi Kasus : Pengadilan Negeri Binjai) Rindi Asti Ananda; Yani Maulita; Husnul Khair
Switch : Jurnal Sains dan Teknologi Informasi Vol. 2 No. 3 (2024): Mei : Switch: Jurnal Sains dan Teknologi Informasi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/switch.v2i5.226

Abstract

The Binjai District Court is a government agency that has the duty and authority to receive, examine and decide every case registered at the Binjai District Court. The Binjai District Court handles many gambling cases, but data management is still not fast and accurate because it still uses manual methods, so the agency needs to implement an application system. To solve this problem, you can use data mining applications, namely by utilizing existing data to dig up new information. One of the techniques in data mining is clustering. Clustering was chosen because it can group data according to the desired characteristics, in this research it means grouping gambling data in the Binjai City area. The clustering algorithm used is K-Means Clustering integrated into a desktop-based programming application. The conclusion obtained is that the system designed has proven successful in grouping gambling data into 3 clusters (groups). The process using MATLAB R2014a obtained results in group 1 which amounted to 276 data with a data centroid center (6.92; 2.41; 4.33) including the category of low levels of gambling, group 2 which amounted to 337 data with a data centroid center (7.56 ; 2.10; 14.48) is included in the category of moderate level of gambling and group 3 which amounts to 387 data with the centroid data (7.56; 2.10; 28.02) is included in the category of high level of gambling.
Analisis Kepuasan Pengguna Website Sekolah SMAN 1 Wangon Menggunakan Metode End User Computing Satisfaction (EUCS) Fahmi An Naafi; Fikri Aditnya Pratama; Fauzan Dwicah Saputra; Gilang Satria Mahardhika; Ito Setiawan
Switch : Jurnal Sains dan Teknologi Informasi Vol. 2 No. 6 (2024): November : Switch: Jurnal Sains dan Teknologi Informasi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/switch.v2i6.274

Abstract

This study aims to evaluate the level of user satisfaction with the website of SMAN 1 Wangon by applying the End User Computing Satisfaction (EUCS) method. This method assesses user satisfaction based on five main dimensions: system quality, information quality, service quality, end user, and individual benefits. Data collection was conducted through questionnaires distributed to students, teachers, and administrative staff. The results of the analysis show that overall user satisfaction is in a good category, although there are some aspects that need to be improved, especially in terms of information and service quality. This research is expected to provide suggestions for further development of the school website, in order to improve user experience and support the learning process.
Optimalisasi Prediksi Indeks Kualitas Air di Indonesia dengan Menggunakan Machine Learning Melalui Pendekatan Metode Prophet Didi Sangaji; Tata Sutabri
Switch : Jurnal Sains dan Teknologi Informasi Vol. 2 No. 6 (2024): November : Switch: Jurnal Sains dan Teknologi Informasi
Publisher : Asosiasi Profesi Telekomunikasi Dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/switch.v2i6.277

Abstract

The Water Quality Index (WQI) shows the condition of water quality in an area based on the status of water quality resulting from the measurement of physical, chemical and bacteriological parameters of a water body both rivers and lakes. Several machine learning techniques can be used to predict water quality in an area, one of which is through the prophet model approach which is able to provide fairly accurate predictions for the water quality index in Indonesia. The main objective of this research is to obtain a WQI prediction value as a baseline in the formulation of future environmental control activity policies using the prophet model. The result is that the predicted value of IKA for 2021-2023 generated through machine learning with the prophet model approach shows that the Mean Absolute Error (MAE) value: 7.01, Root Mean Square Error (RMSE): 8.61 and Mean Absolute Percentage Error (MAPE): 13.06%, which means that IKA prediction with the prophet model is effective in capturing annual patterns between historical data and future predictions.

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