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All Journal Jurnal Ilmiah Teknik Informatika dan Komunikasi Jurnal Penelitian Teknologi Informasi dan Sains Indonesia Bergerak: Jurnal Hasil Kegiatan Pengabdian Masyarakat Sosial : Jurnal Ilmiah Pendidikan IPS Wissen: Jurnal Ilmu Sosial dan Humaniora Mars: Jurnal Teknik Mesin, Industri, Elektro dan Ilmu Komputer
Katarina Yunita Riti
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Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Education Electrical & Electronics Engineering Public Health Social Sciences

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Analysis of Profit Results From The Use of Plts (Solar Power Plant) in Lolo Wano Village Using the Naive – Bayes Classifier Method Oskar Ana Rato; Gergorius Kopong Pati; Katarina Yunita Riti
Jurnal Penelitian Teknologi Informasi dan Sains Vol. 2 No. 4 (2024): Desember : JURNAL PENELITIAN TEKNOLOGI INFORMASI DAN SAINS
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jptis.v2i3.2433

Abstract

The newest renewable energy source in the world and one of the most reasonably priced is solar energy. Because solar energy has so many benefits all year round, it can be a cost-effective energy source when used, especially since it is so abundant globally. to produce electricity by converting sun energy. The equator-based nation of Indonesia boasts an abundance of solar energy resources, with an average daily solar radiation intensity of about 4.8 kwh/m2. However, there is an abundance of solar-based energy sources that can be utilized. Especially in Lolo Wano Village, where the intensity of solar radiation is quite high, it is an option to develop a Solar Power Plant (PLTS) as a solution to electrical energy needs. In order to specifically identify the class of unknown object labels, classification techniques are employed since they are able to identify models that distinguish between different data classes or data ideas. In the meantime, the Naïve Bayes algorithm takes into account multiple factors that will influence a decision's final result in order to forecast future opportunities based on data that has already been collected. The information utilized comes from observations made by the LOLO WANO VILLAGE PLTS Community (PLTS). The data gathered from the satisfaction survey will be divided into two categories: training data and testing data. The testing data's accuracy will be evaluated using the output of the training data model. The classification findings demonstrate that, with the maximum level of accuracy at 87.50%, the Naïve Bayes algorithm is appropriate for gauging student satisfaction with online learning.
Analisis Pemasaran Ternak Babi Hidup di Pasar Gokat Katarina Yunita Riti; Irmina Kewu Dunga; Osna Leni Malo; Julianto Malo; Samuel Dapa Loka; Darius Ndara Milla
SOSIAL : Jurnal Ilmiah Pendidikan IPS Vol 2 No 4 (2024): SOSIAL: Jurnal Ilmiah Pendidikan IPS
Publisher : Asosiasi Peneliti Dan Pengajar Ilmu Sosial Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/sosial.v2i4.506

Abstract

This study aims to analyze the marketing system of live pigs at Gokat Market, which is one of the centers of pig trade in Indonesia. This analysis includes marketing channels, factors that influence prices, and the relationship between demand and supply of live pigs. The method used in this study is descriptive with a qualitative approach, involving interviews with farmers, traders, and other related parties at Gokat Market. The results of the study indicate that marketing of live pigs involves several channels, ranging from small farmers, collectors, to large traders who sell to end consumers or slaughterhouses. The price of pigs is influenced by the quality of livestock, market demand, and economic conditions, as well as fluctuations in the price of animal feed. The demand for pork is highly dependent on seasonal factors and celebrations, while supply is influenced by the number of farmers and the health conditions of livestock. Regulations also affect market stability and livestock prices. This study concludes that marketing of live pigs at Gokat Market has complex dynamics, where various external and internal factors affect the smooth distribution and selling price of live pigs. Cooperation is needed between farmers, traders, and the government to create a more efficient and sustainable marketing system.
Implementation of the Naive Bayes Algorithm on Malaria Data Set Using Rapid Milner Ridwan Andri Prasetio; Gergorius Kopong Pati; Katarina Yunita Riti
Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 5 (2024): Oktober : Mars : Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v2i5.386

Abstract

Medical record data can be used as a benchmark and comparison in the health business to ascertain the rate at which a disease is developing in a given area. It would be beneficial, though, if this data could be transformed into useful information, like illness forecasts. Infectious diseases like malaria are common in tropical and subtropical regions. West Sumba Regency is the region with the highest number of malaria cases, and this figure rises year. Of the different Puskesmas labor locations, Lolo Wano Health Center has the largest number of positive cases of malaria. In order to apply information system technology and prevent malaria early, research was done at the Lolo Wano Community Health Center to predict malaria using the Naïve Bayes approach. This is because the Community Health Center does not currently have a malaria prediction system. Six of the 16 features in the patient dataset—a total of 27 patient data—were malaria symptoms. When there are suitable illness indicators, positive predictions are produced using the outcomes of Naïve Bayes computations. Before the patient proceeds with a direct medical evaluation, these anticipated results may be utilized as a provisional approximation. Naïve Bayes, Center, Prediction, Malaria
Pelatihan MS Office bagi Guru SD Masehi Kadu Eta Desa Kadu Eta Friden Elefri Neno; Andreas Ariyanto Rangga; Katarina Yunita Riti
Indonesia Bergerak : Jurnal Hasil Kegiatan Pengabdian Masyarakat Vol. 3 No. 3 (2025): Juli : Indonesia Bergerak : Jurnal Hasil Kegiatan Pengabdian Masyarakat
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/inber.v3i3.1091

Abstract

The rapid development of technology has greatly assisted human work in various fields, including education. One tangible outcome of technological progress is the availability of Microsoft Office applications, which consist of Microsoft Word, Microsoft Excel, and Microsoft PowerPoint. Microsoft Word functions as a word processing software that allows users to create, edit, and format documents, while Microsoft Excel is used for managing numbers and data, and PowerPoint plays an important role in preparing engaging presentations. However, the teachers at SD Masehi Kadu Eta are not yet able to operate Microsoft Word, Excel, and PowerPoint optimally, as the school has never conducted any specific training. Therefore, this community service program focused on providing training on how to utilize Microsoft Office for teachers at SD Masehi Kadu Eta. The training aimed to improve teachers’ knowledge and skills in using information technology, particularly in operating Microsoft Word, Excel, and PowerPoint. Through this program, teachers gained not only new experiences but also basic skills that can support their daily tasks, such as preparing school administration documents, creating reports, and developing more systematic teaching materials. The results of the program showed that the training provided significant benefits. Teachers demonstrated strong enthusiasm, actively participated in every session, and showed improvement in their understanding of Microsoft Office applications. They also expressed their expectations for similar activities to be carried out regularly so that their skills could continue to improve and better equip them to face the ongoing development of information and communication technology in the future.
Sistem Informasi Pemantauan Kinerja Guru Berbasis Web di SMA Katolik Santa Maria Hombakaripit Stefani Intan Marukedu; Vinsensius Aprila Kore Dima; Katarina Yunita Riti
Jurnal Ilmiah Teknik Informatika dan Komunikasi Vol. 5 No. 3 (2025): November: Jurnal Ilmiah Teknik Informatika dan Komunikasi 
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juitik.v5i3.1604

Abstract

The rapid development of information technology has provided great opportunities to improve the quality of educational management, particularly in terms of teacher performance evaluation and monitoring. At SMA Katolik Santa Maria Homba Karipit, the process of monitoring teacher performance is still conducted manually through written reports and administrative assessments, which often causes obstacles such as delays in data processing, information redundancy, and a lack of transparency in presenting evaluation results. This research aims to design and implement a web-based teacher performance monitoring information system that facilitates data collection, information processing, and report presentation more quickly, accurately, and in an integrated manner. The research applies the waterfall system development model, which includes the stages of requirements analysis, system design, implementation, testing, and evaluation. The web-based system was developed using PHP programming language and MySQL database, allowing it to be accessed flexibly through the internet. The results of the study indicate that the developed system successfully improves the efficiency of teacher performance data management, accelerates report generation, and provides real-time access for the school management, including principals and evaluation teams. Furthermore, the system also supports greater transparency and accountability, as all data are well-recorded and easily traceable. Therefore, the implementation of this web-based teacher performance monitoring system is expected to be an effective solution in supporting school management quality and promoting teacher professionalism at SMA Katolik Santa Maria Homba Karipit
Model Manajemen Inovasi Pariwisata Berbasis Komunitas di Sumba Barat Daya untuk Mendukung Pencapaian SDGs Karolus Wulla Rato; Katarina Yunita Riti; Gergorius Kopong Pati
WISSEN : Jurnal Ilmu Sosial dan Humaniora Vol. 3 No. 4 (2025): November : WISSEN : Jurnal Ilmu Sosial dan Humaniora
Publisher : Asosiasi Peneliti Dan Pengajar Ilmu Sosial Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/wissen.v3i4.1331

Abstract

 This study aims to analyze the influence of community-based tourism innovation and community participation on tourism sustainability in Sumba Barat Daya, Indonesia. Employing a quantitative survey design, the research involved [number of respondents] local tourism actors. Data were analyzed using multiple linear regression to examine the effect of both independent variables on the dependent variable of tourism sustainability. The results reveal that both community-based tourism innovation and community participation have a positive and significant impact on tourism sustainability (R² = 0.586). Community-based tourism innovation emerges as the most dominant factor with a coefficient of 0.420 (p < 0.001), while community participation shows a coefficient of 0.315 (p < 0.001). These findings affirm that the development of sustainable tourism relies not only on the level of community participation but also on the capacity of local communities to innovate in managing tourism destinations. The novelty of this study lies in integrating the dimensions of innovation and participation within the context of community-based tourism in Eastern Indonesia, thereby enriching the literature on Community-Based Tourism (CBT) and providing a foundation for policymakers to formulate strategies for sustainable tourism development. The recommendations include strengthening community innovation capacity, enhancing participatory mechanisms, and fostering cross-sectoral synergy to support the achievement of the Sustainable Development Goals (SDGs), particularly SDG 1, SDG 8, SDG 11, and SDG 12.
Co-Authors Andreas Ariyanto Rangga Darius Ndara Milla Gergorius Kopong Pati Irmina Kewu Dunga Julianto Malo Karolus Wulla Rato Neno, Friden Elefri Oskar Ana Rato Osna Leni Malo Ridwan Andri Prasetio Samuel Dapa Loka Stefani Intan Marukedu Vinsensius Aprila Kore Dima