SPECTA Journal of Technology

Penerapan Technology Acceptance Model (TAM) Pada Sistem Informasi Akademik (SIA) Universitas Muhammadiyah Gorontalo

Wahyudin Hasyim — 2024-12-31

This study aims to examine user satisfaction through the application of technology acceptance models in academic information systems. The population of this study is active students who use academic information systems as many as 2,282. The technique used in determining the sample size of a population is using the slovin technique. The sample in this study was 500 samples. The analysis technique used is quantitative analysis. The results of this study indicate The perceived usefulness variable has a significant value of 0.054 > 0.05, so it can be concluded that the hypothesis is rejected. 2) Variable Perceived Ease of use (ease of use) obtained a significant value of 0.000 <0.05, it can be concluded that the hypothesis is accepted. 3) Variable Attitude Toward Using Technology (attitude) obtained a significant value of 0.000 <0.05, it can be concluded that the hypothesis is accepted. 4) Behavioral Intention to Use (intention) variable obtained a significant value of 0.220 > 0.05, so it can be concluded that the hypothesis is rejected.

Analisis Elemen Pariwisata Kawasan Wisata Danau Sebedang

Antonius Hansen Kharisma — 2024-12-31

Tourism development is generally directed towards leading sectors that can boost economic growth, increase local revenue, and expand job opportunities. One form of tourism that is being developed is nature-based tourism, namely lakes. Sebedang Lake is a natural tourism object included in the National Tourism Strategic Area (KSPN) for Sambas Regency and its surroundings. Sebedang Lake is also the only natural lake along the northern coast of West Kalimantan. This research aims to analyze the tourism aspects of Sebedang Lake. In identifying existing conditions in the Lake Sebedang area, there are several identification activities including attractions, amenities, accessibility, accommodation, and the stakeholders involved. The research method used is a qualitative approach using descriptive analysis with data collection techniques in the form of observation, interviews, field notes, personal documentation, spatial analysis, and other official documents. An analysis of Sebedang Lake's tourism development reveals several shortcomings. Attractions and activities cluster near the main access, neglecting the broader area's potential. Amenity distribution suffers a similar imbalance, leaving vast stretches underserved. Accommodation options are limited to just two villas/homestays. While the main access road boasts good condition and high accessibility, inadequate lighting hampers safety. Furthermore, unpaved pathways to activity points pose an inconvenience. Stakeholder involvement includes the Sambas Regency Tourism Office,Pokdarwis, and local communities, each playing their part.

Evaluation of the Spatial Planning of Pangkalpinang City for 2011-2030 Based on Flood Vulnerability Distribution

Hadi Fitriansyah — 2024-12-31

Flooding occurs when river water overflows and inundates the surrounding flat areas due to the river's inability to contain excess water. Pangkalpinang City, as the capital of Bangka Belitung Islands Province, has several locations that are prone to flooding during the rainy season. There have been 192 flood incidents across seven districts, making it crucial for decision-makers to identify flood-prone areas for planning purposes and to better understand the vulnerable regions to implement more effective preventive measures. This study aims to map the distribution of flood-prone areas and analyze the correlation between the spatial plan of Pangkalpinang City for 2011-2030 and flood-prone regions. The study uses scoring, weighting, and overlay methods with ArcMap 10.8 software. The data used in this study include slope gradient, elevation, soil type, land use, and rainfall. It is important to evaluate the Spatial Plan of Pangkalpinang City for 2011-2030 concerning flood vulnerability. The results of the study show that flood hazard classes in Pangkalpinang City are dominated by the low hazard class covering an area of 910.74 ha, the moderate hazard class covering 5,959.63 ha, and the high hazard class covering 3,559.90 ha. The benefits of evaluating the spatial plan of Pangkalpinang City based on flood vulnerability distribution include raising awareness among the government and the public regarding flood disasters, enabling the city government to utilize the results to strengthen flood mitigation efforts, improving the effectiveness of planning and environmental management, and optimizing land use. The spatial plan based on flood-prone areas shows that the protected area, covering 1,274.98 ha, predominantly falls into the high flood-prone category, while the cultivation area, covering 5,275.52 ha, predominantly falls into the moderate flood-prone category.

Analisis Variasi Ukuran Partikel Biomassa Cangkang Kelapa Sawit dan Tandan Kosong Kelapa Sawit (TKKS) terhadap Karakteristik Refuse Derived-Fuel (RDF)

Riza Hudayarizka — 2024-12-31

Energy consumption in Indonesia is still mostly dependent on fossil fuels like coal, leading to their gradual depletion. Therefore, there is a need for environmentally friendly alternative energy sources from biomass waste, such as Refuse Derived-Fuel (RDF). Biomass waste with a high calorific value, like palm kernel shells and empty palm kernel bunches (EFB), is promising as RDF raw material. The size of the particles affects the characteristics of RDF because it impacts the structure and composition of RDF pellets. The tested composition ratios of palm kernel shells, EFB, and adhesives were (90:0:10), (80:10:10), (70:20:10), (60:30:10), and (50:40:10), with particle sizes of 60, 80, and 100 mesh. The RDF characteristics evaluated included moisture content, ash content, volatile matter, fixed carbon, and calorific value. The best RDF composition was found to be 70% palm kernel shells, 20% empty palm kernel bunches, and 10% adhesive at a particle size of 60 mesh, resulting in a moisture content of 5.2%, ash content of 4.64%, volatile matter of 78.89%, fixed carbon of 9.64%, and a calorific value of 4404.32 cal/g. XRD analysis indicates that RDF contains amorphous carbon, silica, and, with the addition of EFB, contributes to the potassium content. SEM analysis shows that larger particle sizes of the raw material form larger pores in RDF compared to smaller particle sizes.

Implementation of Green Innovation in Designing Sustainable Tourism Souvenirs Using Biocomposite Material from Waste of Empty Palm Oil Bunches (EFB) to Support IKN Branding as the Greenest Country Capital in the World

Eko Agung Syaputra — 2024-12-31

Souvenirs have an important role in supporting regional economic development, souvenirs can also function as an important symbol of identity and culture because they can contribute to the preservation and promotion of local traditional heritage. But on the other hand, the souvenir industry also has the potential to damage the environment. Therefore, it is important to ensure that souvenir production and consumption practices use sustainable principles. The increasing level of deforestation and forest degradation in East Kalimantan due to IKN development needs to be balanced with green innovation. One of them is exploring renewable materials as raw materials for superior regional products. Indonesia has an abundance of empty oil palm fruit bunches (EFB), for every 1 ton of palm oil there is 23% or 230 kg of EFB waste. With its quality and uniqueness, this EFB biocomposite material is suitable as the basic material for sustainable tourism souvenirs as an Indonesian identity. This research aims to develop sustainable tourist souvenir designs made from EFB waste as one of the branding of IKN souvenirs for the international market. The identification in this research used the Design-driven Material Innovation (DDMI) method. DDMI is a product design design model that starts from material development from understanding material characteristics, and creating product lines, to communicating the uniqueness of materials to the market. This research produces designs and prototypes of tea sets as sustainable tourist souvenir products that are ready to be made on an industrial scale. Tea sets are often used as souvenirs in state agendas because they reflect a country's cultural identity and diplomatic status, as well as a way to strengthen relations between countries through appreciation and respect. This aligns with one of the goals to support the branding of the IKN as the greenest capital city in the world.

Implementation of the Elliptic Curve Cryptography Method in Digital Image Security in Medical Images

Yanuar Bhakti Wira Tama — 2024-12-31

Digital security become increasingly important particularly in medical field as impact of patient privacy and the protection of patient data. This attempt for this research will be made to use elliptic curve cryptography to hide messages in the form of digital images using multiplication matrix modified hill chipper and count entropy and time encryption and decryption. The encryption process, which utilizes matrix multiplication, ensures that the images achieve near-ideal entropy values, close to 8, indicating a high degree of randomness and security. The result is entropy for encrypted image near 8 it means that randomness of image is quite random. Meanwhile for computational time encrypted and decrypted image for one block is around 400000 nano second for encrypt image and 1500000000 nano second for decrypt image.

Exploration of the Application of Holographic Technology in Elementary Learning: Case Review

Sasferi Yendra — 2024-12-31

The designation of Nusantara as the new capital city of Indonesia presents a unique opportunity to integrate cutting-edge technology into various sectors, including education. Traditional learning has been the backbone of the education system, but in today’s rapidly evolving world, more innovative approaches are needed to engage students and improve learning outcomes. Higher education, in particular, must adopt modern teaching methods that encourage student engagement and interaction with learning materials. One promising advancement is the introduction of holographic technology, which has the potential to revolutionize the way knowledge is shared and consumed. While its use in education is still in its infancy, holographic technology, specifically mixed reality holograms that combine augmented and virtual reality, can create immersive learning experiences that blend real-world environments with virtual objects. This paper explores the basic concepts of holographic technology, evaluates its impact on student engagement, and its potential role in transforming education. The research identifies the strengths and limitations of holograms as a learning tool, assessing their effectiveness in today’s primary education. Case studies and related research in Nusantara demonstrate the practical application of this technology in the classroom. The study also offers insights into how educational institutions can begin adapting their systems to incorporate holographic devices, aiming to foster more innovative and effective learning environments for future generations.

Expert System for Diagnosing Plant-disturbing Organisms on Rice Plants Using the Euclidean Probability Method and Bayes Theorem with Forward Chaining Inference Technique

Nur Fajri Azhar — 2024-12-31

Rice is a basic human need that needs to be fulfilled continuously, especially in Indonesia. However, rice production decreased by 2.05% in 2023; the decline was influenced by the lack of rice fields and crop failure due to attacks by plant-disturbing organisms such as Blast, Brown Spot, and even Ricefield Rats. Therefore, expert system technology is useful to help create opportunities for progress in the agricultural sector in overcoming the decline in production. This research utilizes the best method between Euclidean Probability, Bayes` Theorem, and a combination of both in diagnosing plant-disturbing organisms in rice plants. The expert system works by analyzing the symptoms and characteristics of the plants using weight values obtained from the Analytical Hierarchy Process, comparing them with a database of known plant-disturbing organisms, and providing accurate diagnoses and management recommendations. The objectives are to determine which method provides the most accurate diagnosis and to explore how these methods can support sustainable agriculture. The combination of Bayes' theorem with Euclidean methods and Bayes' theorem alone achieved an agreement of 8 out of 10 cases with expert diagnoses. In comparison, the Euclidean method alone achieved an agreement of 9 out of 10 cases. The results demonstrate that the Euclidean Probability method offers a more accurate diagnosis, aligning with expert diagnoses in 9 of the 10 case studies, thus supporting its application in sustainable agricultural practices.

Selection of Student Housing Types for Universitas Trisakti in DKI Jakarta

martina adriana — 2024-12-31

The large number of students has implications for the need for housing during their studies around the campus area. Students need temporary living conditions in a location as part of the life cycle of young people in the phase of leaving their parents for educational purposes. Many factors result in the diversity of housing typologies needed by students. Fulfilling students' expectations of housing will create comfort and will also affect the performance of the students' studies. Research related to student housing preferences in Jakarta, which is the most densely populated city in Indonesia, is still rare. This research method is quantitative using Questionnaire Technique as data collection. The number of respondents in this study based on the Slovin sampling method is 148 students. This study will be analyzed using statistical methods both descriptively and crosstab. The results of this study identified that most Trisakti students prefer to live in owned houses such as their parents' house, relatives' house, or apartments compared to renting a house close to campus. The crosstab results show that gender, distance from residence, reasons for choosing a residence, and student origin affect the distribution of housing type selection between rental or owned residences. In addition, based on the results of perception, pedestrian facilities, cycling facilities, the presence of green open space, and security are considered to be less in rental housing areas compared to owned housing.