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Rancang Bangun Website Promosi Pada Sapo Rumbia Villa and Cottage Sinaga, Mikha; Sembiring, Nita; Sianturi, Charles; Ginting, Erwin; Elisabeth, Noprita; Ramadhani, Ivo
Publikasi Pengabdian Masyarakat Vol 2 No 2 (2022): PUBLIDIMAS Vol. 2 No. 2 NOVEMBER 2022
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/publidimas.v2i2.82

Abstract

Promotion is an important part of marketing goods and services. Promotions can contain information that can attract consumers' interest in the goods and services we offer. With the promotion, it is hoped that there will be an increase in sales figures for the product or service being promoted. Sapo Rumbia Villa and Cottage markets its villas and lodging rooms through social media such as Facebook and Instagram as well as online booking applications such as Oyo. Sapo Rumbia Villa and Cottage only contains information related to villas and lodging in the form of Facebook and Instagram page statuses, not through advertisements on the social media. The Oyo application only contains information related to lodging rooms and villas. The information provided is also very limited, only regarding the price and facilities in the room or villa. In fact, the natural scenery around Sapo Rumbia Villa and Cottage is very beautiful to look at. Sapo Rumbia Villa and Cottage is surrounded by Gundaling Hill, local people's plantations, and beautiful views of Mount Sibayak. The community service activities carried out have the aim of promoting Sapo Rumbia Villa and Cottage and providing information related to Sapo Rumbia Villa and Cottage to the wider community. This activity also has several benefits, namely helping the management in promoting their villas and inns, making it easier for the public to obtain information related to Sapo Rumbia Villas and Cottages, and increasing Sapo Rumbia's income from the promotions that have been made. The result of this activity is to add promotional media for Sapo Rumbia Villa and Cottage, so that it can increase public knowledge of the natural beauty around Sapo Rumbia Villa and Cottage which can add positive value to Sapo Rumbia Villa and Cottage.
Pelatihan Penggunaan Microsoft Excel Dalam Membuat Laporan Keuangan di Sapo Rumbia Villa & Cottage Sembiring, Nita; Sinaga, Mikha; Nainggolan, Yosephine; Noprita Elisabeth Sianturi
Publikasi Pengabdian Masyarakat Vol 3 No 1 (2023): PUBLIDIMAS Vol. 3 No. 1 MEI 2023
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/publidimas.v3i1.158

Abstract

Sapo Rumbia Villa and Cottage does not yet have a computerized system for managing daily and monthly financial reports. Sapo Rumbia Villa and Cottage still uses paper media in making financial reports, this causes the financial reports owned by Sapo Rumbia Villa and Cottage to be irregular. Sapo Rumbia Villa and Cottage also does not know how much their monthly expenses and income are. The paper media used to record financial statements is also vulnerable to several things, such as getting wet, torn, dirty, and also burning. The preparation of financial statements is basically used to provide information about the condition of an entity that will be useful to the majority of users of financial statements and to meet the needs of internal and external parties of an entity. At present, financial reports have been compiled in digital form so that it can make it easier for business people to view and check the financial reports of the business units they own. Financial reports made in digital form can be processed easily by users. In addition, financial reports that are created digitally can also be stored properly because they do not require a physical form, can be duplicated quickly, and can be accessed from various gadgets. Based on some of the problems described above, the servant wants to carry out a community service activity at Sapo Rumbia Villa and Cottage. The activities carried out are training on the use of Microsoft Excel in managing financial reports.
Asistensi dan Pelatihan Pembuatan Video Promosi Pada Sapo Rumbia Villa and Cottage Sinaga, Mikha; Sembiring, Nita Sari; Ginting, Erwin; Sinaga, Salsa Carissa; Sianturi, Charles Jhony Mantho; Sianturi, Noprita Elisabeth
Publikasi Pengabdian Masyarakat Vol 4 No 1 (2024): PUBLIDIMAS Vol. 4 No. 1 MEI 2024
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/publidimas.v4i1.367

Abstract

Sapo Rumbia Villa and Cottage is one of the accommodations located under the Gundaling Berastagi hill. Currently Sapo Rumbia accommodation has more than 40 rooms consisting of various types. Sapo Rumbia also has 1 villa which is located next to the accommodation. To market its villas and accommodation rooms, Sapo Rumbia uses videos recorded via cellphone cameras and without proper editing. Around the Sapo Rumbia inn there are many plantations owned by residents which can add a beautiful impression to the inn. Apart from plantations owned by residents, around the Sapo Rumbia accommodation there are also many views of hills and mountains that can pamper the eyes of tourists who stay at this accommodation. Sapo Rumbia Villa and Cottage does not explore the beauty of the surrounding nature in the promotional videos that have been made. Transitions between scenes in promotional video content have also not been made as attractive as possible so that it can increase people's desire to watch the video until the end. This activity also has several benefits, namely helping the management in promoting their villas and accommodation, making it easier for the public to obtain information regarding Sapo Rumbia Villa and Cottage, and increasing Sapo Rumbia's income from the promotions that have been made.
Peningkatan Literasi Digital Siswa SMK dalam Menghadapi Bahaya Judi Online Sinaga, Mikha; Simanjuntak, Peter; Tambunan, Mutiha; Hia, Charistian
Publikasi Pengabdian Masyarakat Vol 5 No 1 (2025): PUBLIDIMAS Vol. 5 No. 1 MEI 2025
Publisher : LPPM Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The increasing use of digital technology among vocational school students has had a positive impact in terms of access to information and skills development. However, this phenomenon has also opened up a gap for the emergence of online gambling threats, which are increasingly widespread among teenagers. Online gambling often targets young age groups through games and applications that seem harmless, which can lead to addiction and financial loss. On the other hand, the level of digital literacy among vocational school students is still relatively low. Although they are skilled in using digital devices, many do not understand the risks involved, such as the dangers of online gambling. This lack of understanding is exacerbated by limited education on digital ethics and wise internet use in schools, as well as a lack of awareness among parents and teachers regarding these potential risks. The importance of digital literacy is a solution to this problem, because with a good understanding, students can recognize and avoid the dangers of online gambling. However, educational programs on digital literacy and online gambling prevention are still limited, and many schools lack the resources to provide adequate training. As a solution, an empowerment program is needed for vocational school students through digital literacy training that aims to increase their awareness of the risks of online gambling, as well as teach them the responsible use of technology. This program also requires support from schools, parents, and the community to create a safe and healthy digital environment for students. The target output of this activity is scientific papers published in national journals with ISSN. The activities that will be carried out start from giving pretests to students to see students' knowledge of online gambling. After that, counseling is carried out on the negative impacts of online gambling. Then a posttest is carried out to see students' understanding of the material that has been presented.
Designing a Stunting Prediction Model Using Machine Learning to Support SDGs Achievement in Indonesia Sinaga, Mikha; Fujiati, Fujiati; Halawa, Darma
Sinkron : jurnal dan penelitian teknik informatika Vol. 9 No. 4 (2025): Articles Research October 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i4.15296

Abstract

Stunting remains a major public health challenge in Indonesia, with national prevalence among children under five reaching 21.6% in 2022, according to the Ministry of Health. This condition, defined by the World Health Organization as a height-for-age less than -2 SD, is associated with long-term consequences including impaired cognitive development, reduced educational attainment, and diminished economic productivity. Addressing stunting is therefore critical to achieving Sustainable Development Goals (SDGs) related to hunger, health, and education. Despite multiple national initiatives, early identification of stunting risk is still limited by reliance on conventional, reactive surveillance methods. Recent advances in machine learning (ML) provide promising alternatives for proactive stunting prediction, with several studies reporting high predictive accuracy using ensemble methods, hybrid frameworks, and geographically weighted models. Building upon this evidence, the present study develops and evaluates ML models for stunting risk prediction using a large dataset of 10,000 records from North Sumatra, Indonesia. The dataset included three predictor variables—age, height, and weight—and a target variable, nutritional status (Normal, Stunted, Severely Stunted, Tall). Four algorithms were compared: K-Nearest Neighbors (KNN), Naïve Bayes, Decision Tree, and Random Forest. Performance was assessed using accuracy, precision, recall, F1-score, and ROC area, with 10-fold cross-validation ensuring robust estimation. Results demonstrated that Decision Tree (88.6% accuracy) and Random Forest (88.3% accuracy) outperformed KNN (84.7%) and Naïve Bayes (72%). ROC areas further confirmed the superiority of ensemble-based approaches, particularly Random Forest (0.979). Statistical significance was tested using McNemar’s test, revealing that Decision Tree and Random Forest achieved comparable performance (p = 0.651), both significantly outperforming KNN and Naïve Bayes (p < 0.05). This study contributes a context-specific evaluation of ML methods for stunting prediction in North Sumatra, emphasizing not only predictive accuracy but also interpretability to support health policy and program implementation. By bridging data-driven insights with actionable decision support, the proposed framework advances progress toward SDG-aligned strategies and provides a foundation for more targeted and preventive interventions in child nutrition and growth monitoring.