Abstract:This study aims to analyze the Income Statement of the Room Department at Harper Perintis Makassar By Aston Hotel in the 2020-2022 time span. The hospitality industry plays an important role in the tourism industry and the…
he economy of a region. The existence of hotels not only provides a significant economic impact through income and employment for local communities, but also has a social impact by improving living standards and social conditions. The results of this study indicate that although Harper Perintis Makassar By Aston Hotel offers various additional facilities such as swimming pools, restaurants, massage services, and others, room types such as Superior Room and Deluxe Room continue to contribute significant departmental profits. However, there was a decrease in the Room Department's profit and loss at the end of 2017 due to room renovations and new facilities, as well as in 2019 due to the impact of the COVID-19 pandemic which resulted in a decrease in guest visits. This study uses quantitative research methods with a positivism approach. Primary data was obtained from the financial statements of the Rooms Department of Harper Perintis Makassar By Aston Hotel for 2020-2022. Data collection techniques involved field research with observation, direct interviews, and documentation.
Abstract:Water is a very important natural resource for help to survive. Water perpendicularoma on providing has impacts. Unwise overuse of water resources you are horrified can jeopardize their sustainability. The objective of this…
his study is to estimate the economic value of spring water utilization in Rangomari village. The method used is Willingness to Pay (WTP) Analysis using Conditional Valuation Method (CVM). As a result, the average I WTP is IDR 5,788.46 per month and the total IWTP is IDR 5,788.46 per month. 1,724,961.54 per month. The annual economic value of this urinary tract in Rangomali village is IDR 20,699,538.5. Governments are expected to implement payment of environmental services for water use and modernization of source management.
Abstract:Measuring portfolio performance cannot only be seen from the returns, but also must pay attention to the risks that investors will bear. Measuring the performance of a stock portfolio can be facilitated by using a proxy,…
namely LQ 45 shares, which are liquid stocks with high market capitalization, have high trading frequency, have good growth prospects and financial conditions, are not volatile and have been objectively selected by the IDX and are stocks. which is safe to own because the fundamental performance of these stocks is good, so that from a risk perspective the LQ 45 stock group has the lowest risk compared to other stocks. The research objective was to determine portfolio performance assessment using the Jensen method, a case study of the LQ45 index on the Indonesian stock exchange for the 2019-2022 period. The population in this study is LQ45 index shares on the Indonesian stock exchange for the 2019-2022 period based on a purposive sampling technique. Data collection is documentation and literature study. The data analysis that will be used in this study is by using the Microsoft Excel 2010 application program to form an optimal portfolio using the Single index model and to assess the performance of a stock portfolio using the Jensen index method. the results of portfolio performance analysis of Jensen's Alpha LQ45 index optimal stocks and obtaining an average RVOR value of 0.0207 or 2.07%.
Abstract:Perkembangan pesat teknologi Artificial Intelligence (AI) telah mengubah lanskap pendidikan tinggi secara signifikan, terutama dengan hadirnya tutor virtual berbasis AI yang mampu memberikan umpan balik cepat, tepat, dan…
personal. Analisis Real merupakan salah satu mata kuliah yang paling menantang dalam program pendidikan matematika karena sifat abstraknya sering menyebabkan rendahnya self-efficacy mahasiswa. Penelitian ini bertujuan menganalisis pengaruh pemanfaatan AI sebagai tutor virtual terhadap self-efficacy mahasiswa Pendidikan Matematika Universitas Asahan yang menempuh mata kuliah Analisis Real. Penelitian menggunakan pendekatan kuantitatif dengan desain quasi-experimental one-group pretest-posttest, melibatkan 15 mahasiswa yang dipilih melalui purposive sampling. Instrumen angket self-efficacy dikembangkan berdasarkan tiga dimensi Bandura (magnitude, strength, generality), divalidasi melalui expert judgment dengan Cronbach’s Alpha sebesar 0,84. Hasil analisis deskriptif menunjukkan peningkatan rata-rata skor self-efficacy dari 65,67 (pre-test, kategori sedang) menjadi 79,93 (post-test, kategori tinggi), dengan peningkatan sebesar 21,7%. Uji Wilcoxon Signed-Rank Test menghasilkan nilai Z = −3,408 dengan p-value = 0,001 (p < 0,05), yang mengkonfirmasi terdapat perbedaan signifikan self-efficacy mahasiswa sebelum dan sesudah intervensi enam minggu menggunakan AI tutor virtual.
The rapid development of Artificial Intelligence (AI) technology has significantly transformed higher education, particularly through AI-based virtual tutors capable of providing fast, precise, and personalized feedback. Real Analysis, one of the most challenging mathematics education courses, frequently causes low self-efficacy among students due to its abstract nature and demands for formal proof-writing. This study examines the effect of utilizing AI as a virtual tutor on self-efficacy of mathematics education students at Universitas Asahan. A quantitative quasi-experimental one-group pretest-posttest design was employed with 15 students selected via purposive sampling. The self-efficacy questionnaire was based on Bandura’s three dimensions: magnitude, strength, and generality, validated by expert judgment with Cronbach’s Alpha coefficient of 0.84. Descriptive analysis results showed an increase in mean self-efficacy scores from 65.67 (pre-test, moderate category) to 79.93 (post-test, high category), representing a 21.7% improvement. The Wilcoxon Signed-Rank Test yielded Z = −3.408 with p-value = 0.001 (p < 0.05), confirming a significant difference in student self-efficacy before and after the six-week AI virtual tutor intervention.
Abstract:Pantai Bohay merupakan salah satu destinasi ekowisata yang berada di Desa Binor, Kecamatan Paiton, Kabupaten Probolinggo. Kawasan ini memiliki berbagai potensi ekowisata yang didukung oleh keindahan panorama pantai, keberadaan…
radaan terumbu karang, ekosistem mangrove, wisata kuliner berbasis hasil laut, serta keterlibatan masyarakat lokal dalam pengelolaannya. Di sisi lain, aktivitas ekowisata juga menimbulkan berbagai dampak yang perlu dikaji sebagai dasar pengembangan kawasan secara berkelanjutan. Penelitian ini bertujuan untuk mengidentifikasi potensi dan dampak ekowisata Pantai Bohay, serta menganalisis strategi pengembangannya menggunakan analisis SWOT. Penelitian ini menggunakan pendekatan kualitatif dengan jenis penelitian studi kasus. Subjek penelitian terdiri atas pengelola ekowisata Pantai Bohay, masyarakat lokal, dan wisatawan yang dipilih menggunakan teknik purposive sampling. Pengumpulan data dilakukan melalui observasi, wawancara semi terstruktur, dan studi dokumen. Analisis data menggunakan model Miles dan Huberman yang meliputi reduksi data, penyajian data, dan penarikan kesimpulan, sedangkan strategi pengembangan dianalisis menggunakan SWOT. Hasil penelitian menunjukkan bahwa Pantai Bohay memiliki potensi ekowisata yang meliputi ekowisata bahari berbasis terumbu karang, panorama pantai dan sunset, ekosistem mangrove, serta wisata kuliner hasil laut. Dampak positif yang ditimbulkan meliputi peningkatan pendapatan masyarakat, terbukanya lapangan kerja, meningkatnya partisipasi masyarakat dalam kegiatan konservasi, serta tumbuhnya kesadaran terhadap pelestarian lingkungan. Namun demikian, masih terdapat beberapa kendala, seperti keterbatasan fasilitas tertentu, pengelolaan mangrove yang belum optimal, dan ancaman terhadap ekosistem pesisir. Berdasarkan analisis SWOT, strategi pengembangan diarahkan pada penguatan potensi sumber daya alam dan kelembagaan lokal, peningkatan fasilitas pendukung, pengembangan atraksi ekowisata, serta penguatan upaya konservasi lingkungan.
Bohay Beach is an ecotourism destination located in Binor Village, Paiton District, Probolinggo Regency. The area boasts various ecotourism potentials supported by scenic coastal views, coral reefs, mangrove ecosystems, seafood-based culinary tourism, and local community involvement in its management. However, ecotourism activities also generate impacts that require assessment to inform sustainable area development. This study aims to identify the ecotourism potential and impacts of Bohay Beach and to analyze development strategies using SWOT analysis. This study employs a qualitative approach using a case study design. Research subjects include Bohay Beach ecotourism managers, local community members, and tourists, selected via purposive sampling. Data collection involved observation, semi-structured interviews, and document analysis. Data analysis utilized the Miles and Huberman model—comprising data reduction, data display, and conclusion drawing—while development strategies were analyzed using SWOT. The results indicate that Bohay Beach possesses ecotourism potential including coral reef-based marine ecotourism, coastal scenery and sunsets, mangrove ecosystems, and seafood culinary tourism. Positive impacts include increased community income, job creation, heightened community participation in conservation activities, and growing environmental awareness. Nevertheless, challenges remain, such as limited facilities, suboptimal mangrove management, and threats to the coastal ecosystem. Based on the SWOT analysis, development strategies focus on strengthening natural resource potential and local institutions, upgrading supporting facilities, developing ecotourism attractions, and reinforcing environmental conservation efforts.
Abstract:Penggunaan dompet digital yang terus meningkat menghasilkan banyak ulasan pengguna yang dapat dimanfaatkan untuk mengevaluasi kualitas layanan. Penelitian ini bertujuan meningkatkan akurasi klasifikasi sentimen pengguna…
dompet digital menggunakan metode Stacking Ensemble Machine Learning yang mengombinasikan Support Vector Machine (SVM), Multinomial Naïve Bayes (MNB), dan AdaBoost dengan Logistic Regression sebagai meta-learner. Data ulasan diproses melalui tahapan text preprocessing meliputi case folding, cleaning, tokenizing, stopword removal, stemming, dan pembobotan fitur menggunakan TF-IDF. Penyeimbangan data dilakukan dengan SMOTE, sedangkan evaluasi model menggunakan 5-Fold Cross-Validation. Hasil penelitian menunjukkan bahwa model Stacking Ensemble memperoleh akurasi rata-rata 80,55%, lebih tinggi dibandingkan algoritma dasar. Evaluasi menggunakan Confusion Matrix, Classification Report, dan ROC Curve juga menunjukkan peningkatan nilai precision, recall, F1-score, dan kemampuan diskriminasi model. Hasil ini menunjukkan bahwa pendekatan Stacking Ensemble Machine Learning efektif untuk meningkatkan akurasi klasifikasi sentimen pengguna dompet digital serta mendukung evaluasi kualitas layanan berbasis opini pengguna.
The rapid growth of digital wallet usage has generated a large volume of user reviews that can be utilized to evaluate service quality. This study aims to improve the accuracy of digital wallet user sentiment classification using a Stacking Ensemble Machine Learning approach that combines Support Vector Machine (SVM), Multinomial Naïve Bayes (MNB), and AdaBoost with Logistic Regression as the meta-learner. User reviews were processed through text preprocessing stages, including case folding, text cleaning, tokenization, stopword removal, stemming, and TF-IDF feature weighting. Synthetic Minority Over-sampling Technique (SMOTE) was employed to address class imbalance, while model performance was evaluated using 5-Fold Cross-Validation. The experimental results show that the proposed Stacking Ensemble model achieved an average accuracy of 80.55%, outperforming the individual base learners. Furthermore, evaluations based on the Confusion Matrix, Classification Report, and Receiver Operating Characteristic (ROC) Curve demonstrated improvements in precision, recall, F1-score, and the model's discriminative capability. These findings indicate that the proposed Stacking Ensemble Machine Learning approach is effective in improving the accuracy of digital wallet user sentiment classification and can serve as a reliable tool for supporting service quality evaluation based on user opinions.
Abstract:This study aims to determine the effect of using Google Earth media through the Contextual Teaching and Learning (CTL) model on the learning outcomes of social studies on natural phenomena material for fifth-grade students…
ts of SDN Telang 2 in the 2026/2027 academic year. The study used a quantitative approach with the Pre-Experimental Design method and One Group Pretest-Posttest Design. The research subjects were 17 students. Data collection techniques were carried out through tests, observations, and documentation. The research instrument was a multiple-choice test given before and after treatment. Data were analyzed using descriptive statistics and paired sample t-test. The results showed that the average pretest score of 68.82 increased to 79.41 in the posttest, with an increase of 10.59 points. The results of the paired sample t-test showed a significance value (2-tailed) of 0.000 <0.05, so H₀ was rejected and H₁ was accepted. These findings indicate that the use of Google Earth media through the CTL model has a significant effect on the learning outcomes of social studies on natural phenomena material. The integration of Google Earth and CTL provides a more contextual, interactive, and meaningful learning experience, helping students understand the concept of natural features more concretely. Therefore, Google Earth, through the CTL model, can be used as an alternative media and effective learning model to improve social studies learning outcomes in elementary schools.
Penelitian ini bertujuan untuk mengetahui pengaruh penggunaan media Google Earth melalui model Contextual Teaching and Learning (CTL) terhadap hasil belajar IPS materi kenampakan alam pada siswa kelas V SDN Telang 2 Tahun Pelajaran 2026/2027. Penelitian menggunakan pendekatan kuantitatif dengan metode Pre-Experimental Design dan desain One Group Pretest-Posttest Design. Subjek penelitian berjumlah 17 siswa. Teknik pengumpulan data dilakukan melalui tes, observasi, dan dokumentasi. Instrumen penelitian berupa tes pilihan ganda yang diberikan sebelum dan sesudah perlakuan. Data dianalisis menggunakan statistik deskriptif dan uji paired sample t-test. Hasil penelitian menunjukkan bahwa nilai rata-rata pretest sebesar 68,82 meningkat menjadi 79,41 pada posttest, dengan peningkatan sebesar 10,59 poin. Hasil uji paired sample t-test menunjukkan nilai signifikansi (2-tailed) sebesar 0,000 < 0,05, sehingga H₀ ditolak dan H₁ diterima. Temuan ini menunjukkan bahwa penggunaan media Google Earth melalui model CTL berpengaruh signifikan terhadap hasil belajar IPS materi kenampakan alam. Integrasi Google Earth dan CTL mampu memberikan pengalaman belajar yang lebih kontekstual, interaktif, dan bermakna sehingga membantu siswa memahami konsep kenampakan alam secara lebih konkret. Oleh karena itu, Google Earth melalui model CTL dapat dijadikan alternatif media dan model pembelajaran yang efektif untuk meningkatkan hasil belajar IPS di sekolah dasar.
Abstract:Kompetensi kepribadian guru merupakan aspek fundamental dalam pendidikan dasar karena berhubungan lamgsung dengan sikap, perilaku, dan keteladanan guru dalam proses pembelajaran. Pendidikan dasar membutuhkan figur guru yang…
ang memiliki kepribadian stabil, dewasa, arif, dan berwibawa agar mampu menciptakan lingkungan belajar yang kondusif dan mendukung perkembangan karakter peserta didik. Penelitian ini bertujuan untuk mengkaji implementasi kompetensi kepribadian guru dalam pendidikan dasar berdasarkan hasil-hasil penelitian terdahulu yang relevan. Metode yang digunakan adalah kajian literatur dengan menelaah artikel ilmiah nasional dan internasional yang terbit pada rentang tahun 2020–2026. Sumber data diperoleh melalui Google Scholar dan jurnal terindeks yang membahas kompetensi kepribadian guru, pendidikan dasar, dan karakter siswa. Hasil kajian menunjukkan bahwa guru yang mampu mengimplementasikan kompetensi kepribadian secara optimal dapat meningkatkan kedisiplinan, minat belajar, serta perilaku positif peserta didik. Temuan lain menunjukkan bahwa keteladanan guru berperan besar dalam pembentukan nilai moral dan sikap sosial siswa sekolah dasar. Implementasi kompetensi kepribadian juga dipengaruhi oleh faktor internal guru dan dukungan lingkungan sekolah. Kesimpulan kajian ini menegaskan bahwa kompetensi kepribadian guru harus dikembangkan secara berkelanjutan melalui pelatihan dan kebijakan pendidikan yang terarah.
Abstract:This community service program aims to empower Pondok Pesantren Daarus Sunnah Rangkas Bitung through the application of technology for producing environmentally friendly cleaners made from rose extract. This activity was…
implemented in response to the needs of the pesantren's laundry unit serving approximately 300 students, as well as to provide entrepreneurial training for teachers and students. The method used is Community-Based Participatory Research (CBPR) with direct training and continuous mentoring approaches. Activities include socialization, product manufacturing training, hands-on practice, and production and marketing assistance. The results show a significant increase in participants' knowledge and skills in producing environmentally friendly cleaners. The products have been used in the pesantren's laundry unit and have potential to be marketed to the wider community. This program contributes to improving teachers' welfare through alternative income sources and equips students with entrepreneurial skills. Program outputs include publications in mass media, documentation videos on YouTube, and journal articles under review. This activity aligns with the Sustainable Development Goals (SDGs), particularly goal 8 (inclusive economic growth) and goal 12 (responsible consumption and production).
Abstract:The Community Service Program (Kuliah Kerja Nyata/KKN) Post 21 of the Disaster-Resilient Village was implemented in Buntu Kunyi Village, Suli District, Luwu Regency as an effort to enhance community capacity in facing disaster…
saster risks and the impacts of climate change. Buntu Kunyi Village has a relatively high level of vulnerability to disasters such as landslides and floods, thus requiring a systematic and sustainable empowerment approach. This KKN program applied the Asset-Based Community Development (ABCD) method, which emphasizes the utilization of local potential and community participation. The stages implemented included discovery, design, define, and reflection, resulting in village asset mapping, needs-based program planning, and a comprehensive evaluation of program implementation. Three main programs were carried out: the preparation of evacuation maps, the development of disaster education modules, and the documentation of environmental action activities. The results of the program showed a significant increase in disaster literacy, community preparedness, and citizen participation in environmental conservation as a form of adaptation to climate change. Overall, this KKN program contributed to strengthening the resilience of Buntu Kunyi Village through collaboration between students and the community in building independent and sustainable disaster risk mitigation.