8 research outputs found
PARTISIPASI MASYARAKAT DALAM MELESTARIKAN TRADISI SLAMETAN METIK DI DESA BANJARSARI WETAN, KECAAMATAN DAGANGAN, KABUPATEN MADIUN
Abstrak: Slametan metik merupakan tradisi yang dilakukan oleh masyarakat petani sebelum proses panen. Pelaksanaan slametan metik tidak lepas dari masyarakat dalam kegiatannya. Sebelum melaksanakan slametan metik harus menyiapkan berbagai persiapan seperti uborompe berupa takir, wewehan, dan makanan yang akan disajikan pada saat slametan. kendala atau penghambat dari pelaksanaan slametan metik di Desa Banjarsari Wetan yaitu karena faktor biaya. Biaya sangat mempengaruhi, karena hasil dari panen hanya cukup untuk membiayai kehidupan sehari-hari, belum lagi kalau hasil panen tidaak menguntungkan bagi petani, sehingga hanya beberapa orang yang melaksanakan. Selain dari faktor biaya, juga dari faktor keyakinan masyarakat tentang kepercayaan bahwa apabila seseorang yang belum pernah menikahkan anaknya, tidak diperbolehkan untuk melakukan slametan metik. Upaya yang dilakukan agar masyarakat dapat melestarikan slametan metik tentunya tidak lepas dari dukungan pemerintahan. Upaya yang dapat dilakukan untuk mengatasi biaya yang tidak cukup yaitu mengurangi jumlah undangan pada saat pelaksanaan slametan metik, dan upaya untuk mengatasi terhadap kepercayaan masyarakat yang masih kuat tentang larangan melaksanakan slametan metik apabila belum menikah yaitu pemerintah mengadakan sosialisasi terhadap masyarakat tentang pentingnya pelaksanaan slametan metik. Kata Kunci: slametan metik, umborompe, masyarakat, petani
Peran Organizational Citizenship Behaviour (OCB) Dalam Memediasi Pengaruh Motivasi Intrinsik dan Kepuasan Kerja Terhadap Kinerja Karyawan pada PT.Cinemaxx Branch Lippo Plaza Yogyakarta
Intrinsic motivation is a drive that is not triggered from the outside but grows and develops from within a person. While Job Satisfaction is a condition where an employee feels satisfied with his job. Both of these things are able to encourage employee behavior to work beyond that set by the company and has nothing to do with the reward system. In this thesis, the author examines the influence of Intrinsic Motivation and Job Satisfaction on Employee Performance mediated by Organization Citizenship Behavior (OCB).Subjects in this study were employees of PT.Cinemaxx branch of Lippo Plaza Yogyakarta. Then the number of samples used are 55 respondents or all employees of the company, this number has been fulfilled from Cohen approach in determining the number of samples that is at least 45 respondents. The analysis technique used in this research is SEM (Structural Equation Modeling) using SmartPLS v.3 software.Based on the results of the analysis, Intrinsic Motivation has a positive and significant impact on Employee Performance and OCB, Job Satisfaction has positive and significant influence to Employee Performance and OCB, OCB has a significant and positive influence on Employee Performance, and OCB has positively and significantly between Intrinsic Motivation on Employee Performance, while OCB has no influence of mediation between Job Satisfaction on Employee Performance
ANALISIS STRATEGI BISNIS UMKM DENGAN PENDEKATAN METODE SWOT IE DAN QSPM (STUDI KASUS C V. AULIA MOTOR DEPOK)
Jika membutuhkan abstrak atau isi jurnal silahkan menghubungi author melalui email [email protected]
Contribution of mangrove forest carbon stocks on climate change mitigation: a case study at Tuntang Estuary, Central Java
Mangroves are an important coastal ecosystem in the global cycle of carbon and climate change mitigation. Unfortunately, a significant loss of mangrove forests has significantly increased carbon emissions over recent years. This research aims to measure the carbon stocks and potential carbon storage of the Tuntang Estuary mangrove forest. Sixteen quadrant plots at six sites were used to collect data on above- and below-ground carbon (roots and sediment). Several published allometric formulas were used for estimating the above and below-ground (root) carbon, while the Walkley and Black method was used to analyze sediment organic carbon. This study showed that the potential of total carbon stocks in this mangrove forest was approximately 0.08 × 106 (± 0.02) Mg C or equivalent to 0.29 × 106 (± 0.05) Mg CO2e. The largest average percentage of carbon stocks (62%) was stored in sediment, 24.57% in mangrove tree biomass, and 13.43% in root biomass. This study discovered that coastal abrasion has a natural effect on mangrove forests and that human activities, particularly aquacultures, also contribute to the low total stock of carbon. The ecotourism site had the highest overall stock of carbon due to the extensive conservation efforts of all stakeholders, including visitors. This study highlights the crucial role of conserving mangroves as a strategy for achieving sustainable development goals, particularly in the context of climate change mitigation. © The Author(s), under exclusive licence to Springer Nature B.V. 2024
Abundance and Distribution of Macroalgae in the Nusa Tenggara and Their Effect on Algae Blooms
Macroalgae is a primary component of coastal biodiversity that is beneficial in protecting the balance of marine ecosystems. Macroalgae is a biological resource that is quite abundant in our country Indonesia, one of which is in the waters of Nusa Tenggara. Exploration of macroalgae diversity has been conducted in Nusa Tenggara waters. Referring to this, this article aims to assess the types of macroalgae distributed and whether there are algae blooming events around the waters of Nusa Tenggara. The method used in this article is a literature review by reviewing a number of articles used as references. The steps in analyzing a number of information obtained from 30 or more related articles are: 1) Search for several articles from national and international journals that are relevant to the title of the article topic. 2) Analyzing the content of each article that has been found. 3) The results of the analysis are used as a reference in the preparation of this article. The result that the author of the article got was to find out a number of dominant algae in Nusa Tenggara waters that caused algae blooming which became a destroyer of aquatic ecosystems
Abundance and Distribution of Macroalgae in the Nusa Tenggara and Their Effect on Algae Blooms
Macroalgae is a primary component of coastal biodiversity that is beneficial in protecting the balance of marine ecosystems. Macroalgae is a biological resource that is quite abundant in our country Indonesia, one of which is in the waters of Nusa Tenggara. Exploration of macroalgae diversity has been conducted in Nusa Tenggara waters. Referring to this, this article aims to assess the types of macroalgae distributed and whether there are algae blooming events around the waters of Nusa Tenggara. The method used in this article is a literature review by reviewing a number of articles used as references. The steps in analyzing a number of information obtained from 30 or more related articles are: 1) Search for several articles from national and international journals that are relevant to the title of the article topic. 2) Analyzing the content of each article that has been found. 3) The results of the analysis are used as a reference in the preparation of this article. The result that the author of the article got was to find out a number of dominant algae in Nusa Tenggara waters that caused algae blooming which became a destroyer of aquatic ecosystems
Pemodelan Prediksi Nilai IQ Menggunakan Algoritma Machine Learning
IQ stands for Intelligence Quotient. It is a numerical score obtained from various psychometric tests designed to measure a person's general intelligence or cognitive ability. IQ is often used as an indicator of academic potential, success in the workplace, and adaptability to new environments. However, it is important to remember that IQ is only one aspect of human intelligence. IQ assessments are widely used in fields as diverse as education, psychology, and employment. Manually administered IQ tests are often time-consuming, require human intervention, and are prone to error. On the other hand, the development of data-driven technology allows for faster and more accurate information processing. Machine learning is a system that can learn to make its own decisions without being reprogrammed by humans, allowing computers to become smarter and learn from their experience with data. That's why the author conducted research to develop an IQ prediction model using machine learning algorithms.IQ adalah singkatan dari Intelligence Quotient. Ini adalah skor numerik yang diperoleh dari berbagai tes psikometrik yang dirancang untuk mengukur kecerdasan umum atau kemampuan kognitif seseorang.IQ sering digunakan sebagai indikator potensi akademik, keberhasilan dalam pekerjaan, dan kemampuan adaptasi terhadap lingkungan baru. Namun, penting untuk diingat bahwa IQ hanyalah salah satu aspek dari kecerdasan manusia. Penilaian IQ sering kali digunakan dalam berbagai bidang, seperti pendidikan, psikologi, dan rekrutmen tenaga kerja. Tes IQ yang dilakukan secara manual sering kali memakan waktu, membutuhkan campur tangan manusia, dan rentan terhadap kesalahan. Di sisi lain, pengembangan teknologi berbasis data memungkinkan pengolahan informasi dengan lebih cepat dan akurat. Machine learning adalah sistem yang dapat belajar membuat keputusan sendiri tanpa harus diprogram berulang kali oleh manusia sehingga komputer dapat menjadi lebih pintar dan belajar dari pengalamannya dengan data. Karena itulah penulis melakukan penelitian untuk mengembangkan model prediksi IQ dengan menggunakan algoritma machine learning
Incidence of SARS-CoV-2 infection in hospital workers before and after vaccination programme in East Java, Indonesia - A retrospective cohort study
BACKGROUND: The incidence of the Coronavirus Disease 2019 (COVID-19) among healthcare workers (HCWs) is widespread. It is important to understand COVID-19 characteristics among HCWs before and after vaccination. We evaluated the incidence of COVID-19 among HCWs in East Java, Indonesia comparing the characteristics of the disease between the pre- vs post-vaccination periods. METHODS: A retrospective observational study was conducted among HCWs in two major hospitals in East Java, Indonesia, between April 01, 2020, and Oct 31, 2021. All HCWs were offered vaccination with inactivated viral vaccine (CoronaVac) from Jan 15, 2021. Therefore, we divided the time of the study into the pre-vaccination period (between April 01, 2020, and Jan 14, 2021) and post-vaccination period (between Jan 15 and Oct 31, 2021). We then compared the pattern of COVID-19 infections, and hospitalisations between these periods. FINDINGS: A total of 434 (15.1%) and 649 (22.6%) SARS-CoV-2 infections were reported among study participants (n=2,878) during the pre-vaccination and post-vaccination periods, respectively. The vaccine effectiveness was 73.3% during the first 3-4 months after vaccination but this decreased to 17.6% at 6-7 months after vaccination, which coincided with the emergence of the delta variant. The overall hospitalisation rate was reduced from 23.5% in the pre-vaccination period to 14.3% in the post-vaccination period. Hypertension appeared to be the strongest risk factor affecting hospitalisation in the pre-vaccination period. However, the risk due to hypertension was reduced in the post-vaccination period. INTERPRETATION: The risk to contract COVID-19 remains high among HCWs in East Java, Indonesia. Vaccination is important to reduce infection and hospitalisation. It is essentially important to evaluate the characteristics of COVID-19 infection, hospitalisation, the impact of co-morbidities and vaccine effectiveness in order to improve the measures applied in protecting HCWs during the pandemic. FUNDING: Mandate Research Grant No:1043/UN3.15/PT/2021, Universitas Airlangga, Indonesi
