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All Journal Jurnal Informatika Jurnal Pekommas JURNAL PENGABDIAN KEPADA MASYARAKAT JOIV : International Journal on Informatics Visualization Dinamisia: Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmiah Realtech EPI International Journal of Engineering Jurnal Peduli Masyarakat Jurnal Restikom : Riset Teknik Informatika dan Komputer Journal of Electrical Engineering and Computer (JEECOM) JOINTER : Journal of Informatics Engineering Vivabio : Jurnal Pengabdian Multidisiplin Jurnal Pengabdian Kepada Masyarakat Abdi Putra Journal of Computing Theories and Applications Jurnal Pengabdian Masyarakat Tekno
Lanny Sitanayah
Department Of Informatics Engineering, Faculty Of Engineering, Universitas Katolik De La Salle, Manado
Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Medicine & Pharmacology Public Health Social Sciences Other

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Journal : JOINTER : Journal of Informatics Engineering

 1 
Rekomendasi Pemilihan Media Tatap Muka Pembelajaran Daring Menggunakan Metode ELECTRE Elisabeth Y. Yolasb; Lanny Sitanayah; Vivie D. Kumenap
JOINTER : Journal of Informatics Engineering Vol 3 No 01 (2022): JOINTER : Journal of Informatics Engineering
Publisher : Program Studi Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/jointer.v3i01.51

Abstract

The COVID-19 outbreak that has hit the whole world, including Indonesia, has disrupted community activities, making people in various countries have to stay at home to break the COVID-19 chain. One of the activities affected is the teaching and learning activity. The teaching and learning activity, which should be a face-to-face activity, has to be replaced by using an online system. Due to many existing online learning platforms, it is difficult for educators to determine an appropriate online learning platform or application to support the needs of students. This study proposes a recommendation system, which is built using the Elimination Et Choix Traduisant La Realite (ELECTRE) method, to select an online learning platform. This method is able to process the weight of the value of each criterion and alternative used in order to get the final result in the form of an appropriate alternative. The result of this study is a recommendation system that can assist educators to choose an appropriate online learning platform.
Penerapan Metode Customer Satisfaction Index untuk Pengukuran Kepuasan Layanan pada Biro Promosi dan Admisi UKDLSM Vivie Deyby Kumenap; Lanny Sitanayah; Billy Fernando Oentomo
JOINTER : Journal of Informatics Engineering Vol 4 No 01 (2023): JOINTER : Journal of Informatics Engineering
Publisher : Program Studi Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/jointer.v4i01.208

Abstract

Universitas Katolik De La Salle Manado (UKDLSM) is a university located in Kairagi I, Kombos, Manado City, North Sulawesi. Since its establishment in 2000 until now, UKDLSM has 7 Faculties and 13 Study Programs. UKDLSM has 7 bureaus that have tasks according to their respective fields to become one of the driving components of the university. One of them is the Biro Promosi dan Admisi (BPA) which has the task of carrying out promotions and managing administration for prospective students/new students. BPA has carried out various duties and responsibilities, but the services of the BPA cannot be assessed by prospective new students who register. This is because there is no application to find out whether prospective new students who register with UKDLSM are satisfied or not with the services from BPA. One method for measuring satisfaction is the Customer Satisfaction Index (CSI). The satisfaction score of CSI is divided into five criteria, namely 0%-20% very dissatisfied, 21%-40% dissatisfied, 41%-60% quite satisfied, 61%-80% satisfied, and 81%-100% very satisfied. The application of the CSI method in an application can measure the satisfaction of prospective new students who register at UKDLSM. The sample used for this research is UKDSLM class 2021 students. The results of calculations using the CSI method will measure the satisfaction of prospective new students according to predetermined criteria. The final results obtained can help CPAs evaluate the services that have been provided to prospective new students.
Sistem Pendukung Keputusan Seleksi Penerima Bantuan Sosial Menggunakan Metode Simple Additive Weighting Lanny Sitanayah; Rayuni A.F Kansil; Vivie D Kumenap
JOINTER : Journal of Informatics Engineering Vol 5 No 01 (2024): JOINTER : Journal of Informatics Engineering
Publisher : Program Studi Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/jointer.v5i01.313

Abstract

Social assistance is a program or provision of funds organized by the government or non-government to help individuals, families or community groups in need. The government allocates social assistance funds to protect society from possible social risks, increase economic capacity and/or social welfare. In Kelurahan Bebali Siau Timur, the distribution of social assistance has been implemented since 2011 in the form of assistance for family economic welfare (clothing and food). The distribution of social assistance is carried out by registering data on every family registered in Kelurahan Bebali, namely 325 heads of families. The large amount of data on families receiving social assistance with quite a lot of criteria makes employees in the selection section for receiving social assistance less efficient in inputting the existing data. This research aims to help selection employees for receiving social assistance in selecting families who are worthy of receiving social assistance and increasing efficiency in inputting existing data by building a Decision Support System for Selection of Social Assistance Recipients Using the Simple Additive Weighting Method. It is hoped that this system can help in selection and increase the efficiency of data entry. Based on the results of the tests that have been carried out, the Decision Support System for Selection of Social Assistance Recipients Using the Simple Additive Weighting Method can help selection employees in selecting and increasing the efficiency of data input.
Sistem Pemantauan Cuaca Berbasis Internet of Things Phang, Alvaro D.; Sitanayah, Lanny; Sanger, Junaidy B.
JOINTER : Journal of Informatics Engineering Vol 5 No 02 (2024): JOINTER : Journal of Informatics Engineering
Publisher : Program Studi Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/jointer.v5i02.366

Abstract

Weather is one of the important parts that occur in human life. The fields of human occupation that are most affected by the weather, for example, are agriculture, tourism, transportation, and also other fields that require outdoor activities. Before working, humans will see the weather forecast through various media such as weather applications. When entering the rainy season, the weather in Indonesia cannot be predicted accurately even though it has been forecasted, because the weather in Indonesia during the rainy season can change. Currently, Indonesia has used the AWS system but it is still in limited numbers which is also because the AWS used is still made by another country, so it has a fairly expensive price. Therefore, this study will design and implement an Internet of Things-based Weather Monitoring System using the Naïve Bayes algorithm that can help classify the weather status where the device is located. The device is built using DHT11 sensors, LDR, and rain gauge sensors as input parameters for weather data. Based on the tests that have been carried out, the system that has been built can run well. All the features created can function properly and can display weather results according to the Naïve Bayes algorithm calculations. The tool that was built can receive data and send data into the database. The application that was built can implement the Naïve Bayes algorithm and has an average accuracy of 92.49%.
Analisis Sentimen Opini Publik Terhadap Kunjungan Paus Fransiskus di Indonesia Menggunakan Algoritma Naïve Bayes Sitanayah, Lanny
JOINTER : Journal of Informatics Engineering Vol 6 No 01 (2025): JOINTER : Journal of Informatics Engineering
Publisher : Program Studi Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53682/jointer.v6i01.385

Abstract

The X social media platform (formerly known as Twitter) has become one of the main media for discussing various issues and public opinions, including Pope Francis' visit to Indonesia on September 3-6, 2024. This study aims to analyze public opinion sentiment based on tweet data by applying the Naïve Bayes algorithm. Data collection was carried out through crawling techniques using the Twitter API, which was run on Google Colab. The Naïve Bayes algorithm is used to classify data into three types of sentiment: positive, negative, and neutral. Testing was conducted using training and testing data, and then evaluated through a confusion matrix to measure accuracy, precision, recall, and F1-score. The analysis results show that public opinion regarding the visit is positive, with an evaluation yielding average accuracy metric results, namely the 90:10 ratio reaching 74.37%, followed by the 80:20 ratio with 73.26%, the 70:30 ratio with 70.91%, and the 60:40 ratio with 66.44%. The best precision, recall, and F1-score metrics were obtained from the 90:10 ratio, which were 59.72%, 59.29%, and 59.48%, respectively. This research provides an overview of public perception regarding Pope Francis' visit and demonstrates the results of applying the Naïve Bayes algorithm. Thus, this application is expected to contribute to the advancement of sentiment analysis methods in public opinion analysis on various social issues.
Co-Authors Abraham Abast Aminuyati Anasthasya Banurea Anatje Lihiang Angelia Melani Adrian Anthoni Pulakiang Anthoni R. Pulakiang Apriandy Angdresey Billy Fernando Oentomo Dejan Kalengkongan Dino Rahardiyan Elisabeth Y. Yolasb Emma M Moko Evander Kristalino Fino C. Colling Immanuela Puspasari Saputro Indah Suryanto Jeri Wahyu Utama Johanna Zusye wa Joseph, Hizkia R.M. Junaidy Budi Sanger Junaidy Sanger Kalengkongan, Dejan A. Kawatak, Steven Y. Kumenap, Vivie Deyby Lahama, Artquito Beltsazar Livana Dethris Rawung Lohonauman, Charlie A. P. Micael Liem Michael George Sumampouw Noula J. Mokorimban Ooi, Jing-Quan Pether Romony Phang, Alvaro D. Rahardiyan, Dino Rampengan, Mercy Maggy Franky Rayuni A.F Kansil Romony, Pether V B Rumpesak, Zefanya Marieke Philia Steven Pandelaki Tangka, Ignatius Lucky Henokh Vandri Josua Abram Sampul Vivie D Kumenap Vivie D. Kumenap Vivie Kumenap Vivie Kumenap