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All Journal JOURNAL OF ELECTRICAL AND SYSTEM CONTROL ENGINEERING Jurnal Ilmu Komputer dan Sistem Informasi (JIKOMSI) Jurnal Ilmu Sosial, Pendidikan Dan Humaniora Jurnal Penelitian Rumpun Ilmu Teknik Tuturan: Jurnal Ilmu Komunikasi, Sosial dan Humaniora Jurnal Pendidikan dan Ilmu Sosial JTH: Journal of Technology and Health Jurnal Penelitian Teknologi Informasi dan Sains Jurnal Manajemen dan Pendidikan Agama Islam Venus: Jurnal Publikasi Rumpun Ilmu Teknik Indonesia Bergerak: Jurnal Hasil Kegiatan Pengabdian Masyarakat Neptunus: Jurnal Ilmu Komputer dan Teknologi Informasi Karya Nyata: Jurnal Pengabdian Kepada Masyarakat Journal on Pustaka Cendekia Informatika
Karolus Wulla Rato
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Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences

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Analisis KNN untuk Tempat Rekomendasi Tempat Wisata Sumba Barat Paschal Wungo; Gergorius Kopong Pati; Karolus Wulla Rato
Neptunus: Jurnal Ilmu Komputer Dan Teknologi Informasi Vol. 2 No. 4 (2024): November : Jurnal Ilmu Komputer Dan Teknologi Informasi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/neptunus.v2i4.408

Abstract

The growth of the internet has influenced the tourism industry because the internet makes it easier for individuals to obtain reviews about places to visit and because the internet is a tool used by tourist site managers to assess the quality of their offerings. The increase in the number of tourists of almost two million in just three years in West Sumba is proof of this influence. Social media is a tool that people use to interact with each other online; some people have multiple accounts on platforms such as Instagram, WhatsApp, Facebook, Telegram, Twitter, and so on. Tourists can receive recommendations for tourist attractions based on price and type of trip desired through a tourist attraction recommendation system that uses the KNN algorithm. Three factors were used in this research: activity, type of tourism, and type of price. An accuracy of 63.16% is found in the test results using the KNN algorithm and the Rapid Miner application with a K value of 5. The analysis results show that the K-Nearest Neighbor (K-NN) approach can be used as a guideline for recommending tourist destinations to visitors in West Sumba.
Penerapan Sistem Pakar untuk Mendiagnosa Penyakit Pencernaan dengan Metode Certainty Factor Andreas Ariyanto Rangga; Karolus Wulla Rato
Jurnal Penelitian Rumpun Ilmu Teknik Vol. 4 No. 2 (2025): Jurnal Penelitian Rumpun Ilmu Teknik
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/juprit.v4i1.4872

Abstract

Expert systems are one of the fields of artificial intelligence (AI) that seeks to adopt human knowledge into computers, so that computers can solve problems as experts usually do. One of the problems handled by expert systems is diagnosis in the health sector, such as to diagnose early suspicions of human digestive diseases commonly known as digestive disorders. The expert system in this study was created in the form of a Web-based application. The application of an expert system with the certainty factor method is used to diagnose diseases in the human digestive system. Digestive diseases in this application are limited to diarrhea, gastritis, dysentery, gastric tumors (benign tumors of the stomach), and appendicitis (appendix). The application of an expert system for digestive diseases in humans contains information on diseases, symptoms, and follow-up treatment. This application can be used as an alternative media for diagnosing digestive diseases, and can help users predict the disease they are suffering from based on the symptoms experienced by the user. The expert system created using the certainty factor method, which means this method provides information related to the disease into a possibility, namely happening and not happening and not knowing. The system design used to illustrate the creation of an expert system consists of context diagrams and data flow diagrams and ERD (Entity Relationship Diagram)
ANALYSIS OF STORE CUSTOMER SENTIMENT USING THE NAIVE BAYES CLASSIFIER METHOD DHENDSUL STORE: (Case Study: Dhedsul Store) Antonius L B Hallan; Gergorius Kopong Pati; Karolus Wulla Rato
JTH: Journal of Technology and Health Vol. 1 No. 2 (2023): October: JTH: Journal of Technology and Health
Publisher : CV. Fahr Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61677/jth.vi.43

Abstract

 Sentiment Analysis is a technique for extracting text data to obtain information about positive, neutral or negative sentiment. Sentiment analysis is provided by internet users on social media to provide a personal assessment or opinion. The Dhedsul shop that often gets user sentiment through social media is the Dhedsul shop. The sentiment of opinions from consumers about the Dhedsul Shop can be analyzed and used to obtain useful information for other customers and the Dhedsul Shop. By using the Text Mining technique, the classification method will determine whether a sentiment is positive, neutral or negative. One algorithm that is widely used in sentiment analysis is the Naïve Bayes classification method. This research uses the Naïve Bayes Classifier (NBC) method with tf-idf weighting accompanied by the addition of an emotional icon (emoticon) conversion feature to determine the existing sentiment classes from tweets about the Dhedsul Store. The research results show that the Naïve Bayes method without adding features is able to classify sentiment with an accuracy value of 80.85%, while if the tf-idf weighting feature is added along with emotional icon conversion it is able to increase the accuracy value to 81%.
Penguatan Karakter Siswa Melalui Program Sekolah Ramah Anak SMP Watulabara Karolus Wulla Rato; Hutriani Asna Tanggela; Murkiana Dede Milla; Inelda Bulu; Irmina Kewu Dunga; Osna Leni Malo; Hugolin Arvin Lende Wara; Avelino Don Bosco Bili; Arnoldus Yansen Sangu Ate; Fransiskus Dimu; Yunius Kristian Nono
Karya Nyata : Jurnal Pengabdian kepada Masyarakat Vol. 2 No. 2 (2025): Juni : Karya Nyata : Jurnal Pengabdian kepada Masyarakat
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/karyanyata.v2i2.1637

Abstract

This study aims to describe the implementation of the Child-Friendly School (SRA) program in strengthening student character at SMP Watulabara. The SRA program is an approach that integrates the values ​​of children's rights, a safe, inclusive, and participatory learning environment, and the involvement of all parties in creating a school atmosphere that supports the holistic development of students. The method used in this study is descriptive qualitative with data collection techniques through observation, interviews, and documentation. The results of the study indicate that the implementation of the Child-Friendly School program at SMP Watulabara has a positive impact on the formation of student character, especially in terms of discipline, responsibility, tolerance, and social concern. Collaboration between teachers, parents, and the school community plays an important role in internalizing character values ​​in daily activities at school. Thus, the Child-Friendly School program has proven effective as a strategy for strengthening student character in a formal education environment
Hubungan Tingkat Pengetahuan dan Sikap dengan Tindakan Ibu Tentang Pencegahan Demam Berdarah Dengue di Desa Rada Mata Karolus Wulla Rato; Florensiana Daido; Florentina Kaka; Diana Dorce; Yosep Ngongo; Anselmus Siwa; Yosep Bulu; Yuliana Maghu Ate; Martinus Dama
Jurnal Manajemen dan Pendidikan Agama Islam Vol. 3 No. 3 (2025): Jurnal Manajemen dan Pendidikan Agama Islam
Publisher : Asosiasi Riset Pendidikan Agama dan Filsafat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jmpai.v3i3.1117

Abstract

Dengue Hemorrhagic Fever (DHF) is one of the serious public health problems in Indonesia, including in Rada Mata Village. DHF prevention is highly dependent on community behavior, especially housewives, who play an important role in maintaining environmental cleanliness. Objective: This study aims to determine the relationship between the level of knowledge and attitude with maternal actions regarding DHF prevention in Rada Mata Village. Method: This study used an analytical study design with a cross-sectional approach. The sample consisted of 100 mothers selected through purposive sampling technique. Data were collected using a structured questionnaire that measured the level of knowledge, attitude, and DHF prevention actions. Data analysis was performed using the chi-square test. The results showed that there was a significant relationship between the level of knowledge and DHF prevention actions (p = 0.002), as well as between attitude and DHF prevention actions (p = 0.001). Conclusion: The level of knowledge and attitude of mothers is closely related to DHF prevention actions. Efforts are needed to improve education and health promotion for housewives to reduce the incidence of DHF in Rada Mata Village.
Workshop Google Classroom sebagai Media Pembelajaran Daring di SD Negeri Gollu Sapi Gergorius Kopong Pati; Karolus Wulla Rato
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.v3i3.1087

Abstract

The development of digital technology and the impact of the pandemic have shifted the learning paradigm in elementary schools from traditional face-to-face models to technology-based online systems. However, the limited mastery of teachers in utilizing digital learning media, particularly Google Classroom, has become a major obstacle in implementing effective online learning. This community service activity aims to improve the competence of teachers at SD Negeri Gollu Sapi in managing technology-based learning through the use of Google Classroom. The implementation method consists of four stages: preparation, workshop implementation, practice mentoring, and evaluation. The workshop was designed interactively by combining material presentation, demonstration, discussion, and hands-on practice, covering the creation of virtual classes, uploading teaching materials, assigning tasks, and conducting online assessments. The results of the activity showed a significant improvement in teachers’ skills, both in independently managing online classes and in applying the main functions of Google Classroom. Teachers were able to create digital teaching materials, set assignment schedules, provide feedback, and prepare technology-based assessments. In addition, this activity also produced an online article publication and video documentation as additional outputs. The teachers’ enthusiasm during the implementation indicates that this activity is useful and relevant to the needs of 21st-century learning. With this training, teachers are expected to become more adaptive to the digital transformation in education, thereby supporting the achievement of a more interactive, effective, and sustainable learning process in the digital era.
Klasifikasi Kain Tenun Sumba menggunakan Jaringan Saraf Tiruan Trisno, Trisno; Karolus Wulla Rato; Adelbertus Umbu Janga; Robertus Tamo Ama; Robinson Datu Reja
Journal on Pustaka Cendekia Informatika Vol. 1 No. 3 (2024): Journal on Pustaka Cendekia Informatika: Volume 1 Nomor 3 Oktober 2023 - Januar
Publisher : PT Pustaka Cendekia Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70292/pctif.v1i3.24

Abstract

The evaluation results with epoch 100 have quite good classification accuracy. The correct accuracy value of the classification is 60% of the test data. In other words, the results of this classification can be said to be good. Compared with the classification accuracy at epoch 100, which is 20-30% of the test data. The model obtained is good. At epoch 400 this model has a better level of accuracy than epoch 100. At epoch 1000 the increase in recognition accuracy for test data increases by 20% so that the recognition accuracy becomes 55-60%. Based on the results of research using the backpropagation neural network algorithm, there are several different levels of accuracy, the training and validation accuracy values ​​are quite good. The researcher's suggestion is to continue this research so that it can produce a more accurate process. The training process is carried out using several epoch values, namely epoch 200, epoch 400, epoch 600, epoch 800, epoch 1000, epoch. The best accuracy obtained during training was 89.3% and validation was 82%.
VILLAGE POTENTIAL PRIORITIZATION DECISION SUPPORT SYSTEM SAW METHOD Susanti Kaka; Gergorius Kopong Pati; Karolus Wulla Rato
JTH: Journal of Technology and Health Vol. 1 No. 2 (2023): October: JTH: Journal of Technology and Health
Publisher : CV. Fahr Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61677/jth.vi.68

Abstract

Village development is an effort to improve the quality of life and life for the greatest welfare of village communities. Meanwhile, the aim of village development is stated in article 78 paragraph 1, namely improving the welfare of village communities and the quality of human life as well as overcoming poverty through fulfilling basic needs, developing village facilities and infrastructure, developing local economic potential, and using natural resources and the environment in a sustainable manner. As is the case with village development, Watu Wona Village is one with a majority of farmers, which is an example of a road access development plan that really needs assistance from the government in its construction to support the production and sale of agricultural products. Infrastructure is still lacking, damaged infrastructure roads make access to the village difficult. As a result, the flow of goods and services to villages to transport agricultural products is also lacking and hampered. Based on the existing problems, village development planning is needed using a decision support system (SPK) so that village selection in Watu Wona village is faster and more accurate. By using the SAW method comparison
APPLICATION OF THE FP GROWTH ALGORITHM FOR MOBILE PHONE SALES TRANSACTIONS Lende, Marlince; Andreas Ariyanto Rangga; Karolus Wulla Rato
JTH: Journal of Technology and Health Vol. 2 No. 3 (2025): January: JTH: Journal of Technology and Health
Publisher : CV. Fahr Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61677/jth.v2i3.334

Abstract

This study aims to identify consumer purchasing patterns at Bintang Waitabula Mobile Store using data mining techniques, specifically the FP-Growth algorithm. Transactional data were collected through documentation and processed using RapidMiner version 10.1. The FP-Growth method was selected for its efficiency in discovering frequent item combinations without generating candidate sets, unlike the Apriori algorithm. The analysis yielded two association rules with confidence values above 60%, indicating a strong relationship between commonly purchased mobile phone brands such as Samsung and Vivo. The process and results were visualized using diagrams and rule descriptions to support easier interpretation. These findings can serve as the foundation for decision-making in marketing strategies and inventory management. The FP-Growth implementation proved to be efficient and suitable for small to medium-sized retail enterprises.
Dampak Pengaruh Game Online Terhadap Prestasi Belajar Siswa Karolus Wulla Rato; Anselmus Kartino Beong; Anjela Lende; Yuliana Saibel; Yuliana Ina Kalanda; Rosalia Rambu Padu Leba; Velikia Rau Rengu; Yulius Ngongo; Marten Saingo
JISPENDIORA Jurnal Ilmu Sosial Pendidikan Dan Humaniora Vol. 4 No. 1 (2025): April: Jurnal Ilmu Sosial, Pendidikan Dan Humaniora
Publisher : Badan Penerbit STIEPARI Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56910/jispendiora.v4i1.2078

Abstract

This study aims to examine the impact of the frequency of playing online games on the academic performance of middle school students. Using a quantitative approach, the research involved 150 students randomly selected from several schools in city X. Data were collected through questionnaires about the duration of online game play and academic scores, which were then analyzed using Pearson correlation tests and simple linear regression. The results showed a significant negative correlation between the duration of online game play and students' academic performance (r = -0.62, p < 0.01). This means that the more time students spend playing online games, the lower their academic achievements. Regression analysis revealed that online game play accounted for 38.4% of the variation in academic performance. These findings suggest that excessive online gaming can interfere with students' focus and motivation to study. Therefore, it is important for students, parents, and educators to regulate the time spent on online games to avoid negatively impacting learning quality. This study also highlights the importance of good time management as a key factor in supporting students' academic success in the digital age.
Co-Authors Adelbertus Umbu Janga Adelbertus Umbu Jangais Aderbertus Umbu Jangga Afriani Sesi Lero Agustinus Toda Ngongo Alfandi Lende Alfonsus Dappa Alfonsus Viyanto Bulu Andreas Ariyanto Rangga Andry Ananda Putra Tanggu Mara Anjela Lende Anselmus Kartino Beong Anselmus Siwa Antonius L B Hallan Apliana Kaka Apliana Kartini Zangga Arisius Adi Papa Arman Bili Arnoldus Yansen Sangu Ate Avelino Don Bosco Bili Bole Pati, Arianto Cristian Hartanto Solo Densi Sovia Ngongo Diana Dorce Erniati Bili Feriati Holo Firgulius Bili Florensiana Daido Florentina Kaka Fransiskus Dimu Gergorius Kopong Pati Gresensia Kalli Hugolin Arvin Lende Wara Hutriani Asna Tanggela Inelda Bulu Irmina Kewu Dunga Lende, Marlince Mariance Anonce Pedi Marianus Umbu Markus Umbu Zogara Marselinus Arianto Malo Marten Saingo Martinus Dama Mextisoni A. Twoputra Talu Murkiana Dede Milla Ogasius Dappa Oktaviana Dopi Oktavianus Kaka Osna Leni Malo Paschal Wungo Rinto Tonu Dama Gawang Riskianus Japa Loka Roberto Ambi Rato Gollu Robertus Tamo Ama Robinson Datu Reja Rosalia Rambu Padu Leba Rut Sairo Samuel Malo Susanti Kaka Theresia A.L Lemu Trisno Trisno Vanrias Ringu Lango Velikia Rau Rengu Yosep Bulu Yosep Ngongo Yuliana Ina Kalanda Yuliana Maghu Ate Yuliana Saibel Yulius Ngongo Yunius Kristian Nono