Abstract:Abstract : Corona virus is a very dangerous virus and can kill human life. This virus causes minor illnesses and serious illnesses such as colds or colds, since the emergence of the Corona Virus or Covid 19 paralyzing all…
l human activities carried out outside the home. The problem of this research is in the form of the impact of the corona virus on the economy, especially in the city of Batam so that the residents of Batam can overcome this corona virus outbreak to improve the weakening economy. The main objective of this research is to examine the impact of Covid 19 on the economy of the Batam population so that the Batam population can improve the already weakened economy. This study uses Fuzzy Inference Sistym the Mamdani Method for Decision Making, using Operators or through the process of Fuzification of Input Variables, Inference Machines to process rules and produce Defuzification to get the final value
Keywords: corona prediction fuzzy inference system; mamdani method
Abstrak:Virus Corona merupakan sebuah virus yang sangat berbahaya dan bisa menghilangkan nyawa manusia. Virus ini mengakibatkan penyakit ringan dan penyakit berat seperti common cold atau pilek, Sejak munculnya Virus Corona atau Covid 19 melumpuhkan semua kegiatan aktivitas manusia yang dilakukan diluar rumah. Permasalahan Penelitian ini berupa dampak akibat virus corona terhadap perekonomian khususnya pada Kota Batam sehingga penduduk Batam bisa mengatasi Wabah Virus corona ini untuk meningkatkan perekonomian yang semakin melemah. Tujuan Utama Penelitian ini mengkaji Dampak akibat Covid 19 terhadap perekonomian penduduk batam sehingga penduduk Batam bisa meningkatkan perekonomian yang sudah melemah. Penelitian ini menggunakan Fuzzy Inference Sistem Metode Mamdani untuk Pengambilan sistem Keputusan, menggunakan Operator Or dan melalui proses Fuzifikasi penentuan Variabel Input, Mesin Inferensi untuk melakukan proses aturan dan menghasilkan Defuzifikasi untuk mendapatkan nilai akhir.
Kata Kunci : fuzzy inference sistem; metode mamdani; prediksi corona
Abstract:Abstract: Pekanbaru still using conventional traffic light control system. Pekanbaru as the capital of Riau Province is predicted udergo the increased of urban population by 54.5% in 2025. It is important for Pekanbaru…
ru to immediately implement smart and efficient traffic management system, so that traffic congestion can be resolved quickly. This research paper provides a design solution for smart traffic light management (Smart Traffic Control System), based on object detection technology that uses deep learning to detect the number and type of vehicles. The number of vehicle is the basis for determining the green light timer automatically. The Smart Traffic Control System (STCS) is integrated with a web based geographic information system (smart map) that can display the current condition (picture, the number of vehicle, congestion level) of each STCS location. This integrated system has been tested on a traffic light prototype, using a mini computer and a miniature vehicle. This integrated system is able to detect 9 out of 12 vehicles, and able to send data regularly to the smart map.
Keywords: deep learning; smart mobility; smart traffic control system
Abstrak: Pengaturan lampu lalu lintas di Kota Pekanbaru masih dilakukan secara konvensional. Pekanbaru sebagai ibukota Provinsi Riau diprediksikan akan mengalami peningkatan jumlah penduduk perkotaan sebesar 54,5% pada tahun 2025. Dengan melihat predikisi ini, penting bagi kota Pekanbaru untuk segera memiliki tata kelola lalu lintas yang cerdas dan efisien agar kemacetan dapat ditanggulangi dengan cepat. Penelitian ini memberikan rancangan solusi untuk tata kelola lampu lalu lintas cerdas (Smart Traffic Control System), berbasis teknologi object detection yang menggunakan deep learning untuk mendeteksi jumlah dan jenis kendaraan. Jumlah kendaraan menjadi dasar penentuan timer lampu hijau secara otomatis. Smart Traffic Control System (STCS) terintegrasi dengan sistem informasi geografis berbasis web (smart map) yang secara kontinu menerima informasi kepadatan (gambar terkini, jumlah kendaraan, level kepadatan), kemudian menampilkannya diatas peta Kota Pekanbaru. Solusi sistem terintegrasi ini telah diujikan pada sebuah prototipe lampu lalu lintas, menggunakan komputer mini dan miniatur kendaraan. Sistem terintegrasi ini mampu mendeteksi 9 dari 12 kendaraan, dan mampu mengirimkan data secara berkala kepada smart map.
Kata kunci: deep learning; smart mobility; smart traffic control system
Abstract:Abstract: Student objectivity in filling out E-EDOM is very necessary, the results of data analysis become the basis for the leadership in making decisions for learning strategies. Previous research has proven that the E-EDOM…
-EDOM filling done by students is not objective. Efforts should be made so that students can fill it in seriously. This study aims to determine strategies that can be applied so that students can fill out the E-EDOM very objectively. Starting with analyzing and collecting data through a questionnaire. The Delon and Mclean model is used as a basis for creating questions in the questionnaire and processing the questionnaire data. The data collection technique used a simple random sampling method, with a population of 121 students from Amik Riau STMIK who were active in the 2019-2020 school year. Before processing, the data is tested for validity and reliability. After testing the validity and reliability, then testing the hypothesis to determine the relationship between variables in the Delon and Mc Lean success model. The results showed that each variable showed the effect of a positive relationship that was fully accepted with a value of 0.000. This means that all the variables used in this study are related to one another. Even so, it is necessary to implement several strategies that must be done in an effort to fill out E-EDOM which is very objective by students.
Keywords: e-edom, delon and mclean models, objectivity, students.
Abstrak: Objektifitas mahasiswa dalam mengisi E-EDOM sangat diperlukan, karena hasilnya akan dijadikan dasar oleh pimpinan dalam mengambil keputusan untuk masalah pembelajaran. Berdasarkan penelitian sebelumnya pengisian E-EDOM yang dilakukan mahasiswa masih banyak yang belum mengisinya dengan sangat objektif. Perlu dilakukan upaya agar mahasiswa dapat mengisinya dengan sunggun-sungguh. Penelitian ini bertujuan untuk menentukan strategi yang dapat diterapkan supaya mahasiswa dapat mengisi E-EDOM dengan sangat objektif. Diawali dengan melakukan analisa dan pengumpulan data melalui kuisioner. Model Delon and Mclean digunakan sebagai dasar untuk membuat pertanyaan dalam kuisioner dan melakukan pengolahan data kuesioner tersebut. Teknik pengumpulan data menggunakan metoda sampling simple random, dengan populasi mahasiswa STMIK Amik Riau yang aktif pada tahun ajaran 2019-2020 sejumlah 121 orang mahasiswa. Sebelum dilakukan pengolahan, terlebih dahulu data-data tersebut dilakukan uji validitas dan reability. Setelah dilakukan uji validitas dan reability, selanjutnya melakukan uji hipotesis untuk mengetahui hubungan antar variable yang ada pada model Delon and Mc Lean success. Hasil penelitian ini menunjukkan bahwa setiap variable menunjukkan pengaruh hubungan positif dapat diterima seluruhnya dengan nilai 0.000. Artinya semua variable yang digunakan pada penelitian ini memiliki keterkaitan antara satu dengan lainnya. Walaupun demikian perlu diterapkan beberapa strategi yang harus dilakukan dalam upaya pengisian E-EDOM yang sangat objektif oleh mahasiswa.
Kata kunci: e-edom, delon and mclean model, mahasiswa, objektifitas.
Abstract:Abstract: In analyzing information, it is possible for experts to disclose information with uncertain recognition. For example, with the use of consent, the use is large and almost certain. In overcoming uncertainty in the…
he system, experts can use the certainty factor (CF) method. This method can overcome reality with a level of certainty based on facts so that it can explain the confidence of an expert. CF can be applied in an expert system to build a program that can diagnose a set of rules. In this study CF was implemented in an expert system diagnosing seahorse disease. Sea horses have a high trading value, both in living and dead conditions. Therefore, sea horses, including animals that are protected by population. In this study, developing an expert system application that can diagnose seahorse disease can help determine the level of trust of experts and users who use related cases. Based on the test results, it shows that CF is able to cope well and has a high level of accuracy.
Keywords: certainty factor; expert system; seahorses.
Abstrak: Informasi yang dihasilkan dalam diagnosa dimungkinkan menggunakan ungkapan ketidakpastian. Misalkan dengan penggunaan pernyataan mungkin (maybe), kemungkinan besar (probably not), hampir pasti (almost certainty) dan pernyataan tidak pasti lainya. Untuk mengatasi ketidak pastian pada sistem pakar dapat menerapkan pendekatan certainty factor (CF). Metode ini mampu mengatasi ketidakpastian dengan mendefinisikan tingkat kepastian berdasarkan fakta sehingga dapat memaparkan keyakinan seorang pakar. CF dapat diterapkan dalam sistem pakar untuk membangun suatu program yang dapat mendiagnosa berdasarkan suatu set aturan. Pada penelitian ini CF diimplementasikan pada sistem pakar diagnose penyakit kuda laut. Kuda laut memiliki nilai jual perdagangan yang tinggi, baik dalam keadaan hidup maupun mati. Oleh sebab itu kuda laut termasuk hewan yang dilindungi populasinya. Penelitian yang dilakukan menghasilkan sistem pakar yang mampu mendiagnosis serta memberikan solusi untuk penyakit kuda laut dengan menggunakan pendekatan CF dalam penanganan ketidakpastian. Berdasarkan hasil pengujian menunjukkan CF mampu mengatasi ketidakpastian dengan baik dan memiliki tingkat akurasi yang tinggi.
Kata kunci: certainty factor; sistem pakar; kuda laut
Abstract:This study analyzes the effect of population and investment on the Gross Regional Domestic Product (GRDP) and unemployment in East Kalimantan Province during the 2016–2025 period. The research employs a quantitative explanatory…
planatory design using secondary time-series data obtained from Statistics Indonesia (BPS) of East Kalimantan. Path analysis was applied through two structural equations using SPSS 21, complemented by the Sobel test to examine the mediating role of GRDP. The results show that population and investment each have a positive and significant direct effect on GRDP, and jointly explain 97.4% of its variation. GRDP, in turn, has a negative and significant effect on unemployment, accounting for 76.3% of its variation. The Sobel test confirms that GRDP significantly mediates the indirect effects of both population (Z = 2.295) and investment (Z = 2.628) on unemployment. These findings indicate that economic growth, as reflected in GRDP, acts as a strategic transmission channel converting demographic potential and capital accumulation into employment opportunities, thereby reducing unemployment in the region.
Abstract:Science education at the elementary school level plays a crucial role in fostering scientific thinking, curiosity, and problem-solving skills from an early age. Nevertheless, science instruction in elementary schools often…
en remains teacher-centered, verbalistic, and insufficient in promoting meaningful scientific literacy. In response to these challenges, neuroscience provides a theoretical and empirical foundation for designing learning media that align with how the brain processes, stores, and retrieves information. This study aims to systematically examine the integration of neuroscience principles into science learning media and their effects on elementary students' scientific literacy. A Systematic Literature Review (SLR) was conducted using the PICO framework (Population, Intervention, Comparison, Outcome). Relevant peer-reviewed studies published between 2019 and 2024 were retrieved from Scopus, Google Scholar, ERIC, and DOAJ databases. The review followed four stages: identification, selection, quality appraisal, and thematic synthesis. The results indicate that neuroscience-based interventions—such as Augmented Reality (AR), Brain-Based Learning (BBL), interactive multimedia, and multisensory instructional strategies—consistently improve students' motivation, attention, conceptual understanding, critical thinking, and scientific literacy compared to conventional instructional approaches. The novelty of this study lies in its systematic synthesis of neuroscience-based science learning media through a PICO-oriented framework, highlighting the interaction between cognitive, affective, and technological dimensions of learning. The findings provide important implications for science education, particularly in guiding the development of neuroscience-informed learning media and instructional designs to enhance scientific literacy in elementary schools.
Abstract:Public service quality is one of the fundamental indicators in assessing the performance of government institutions, especially at the district level where direct interactions with citizens take place. This study aims to…
analyze the influence of employee motivation on the quality of administrative services at the Leihitu Sub-district Office, Central Maluku Regency. The research employs a quantitative approach with an explanatory design to identify causal relationships between variables. The population in this study consists of all employees involved in administrative services, and total sampling was used due to the manageable number of staff. Data were collected through a structured questionnaire using a Likert scale to measure motivation and service quality indicators. The data were analyzed using descriptive statistics and linear regression to determine the effect of motivation on service quality. The results show that employee motivation significantly and positively influences administrative service quality. Employees with higher intrinsic and extrinsic motivation tend to demonstrate better responsiveness, discipline, communication, and consistency in carrying out public service functions. The study concludes that strengthening motivation is essential to improve public service performance. Therefore, organizational leaders are encouraged to enhance work motivation through recognition, supportive leadership, fair reward systems, and professional development opportunities to ensure services meet community expectations.
Abstract:Tiakur City, the capital of Southwest Maluku Regency, has undergone significant physical development between 2015 and 2025, driven by population growth and economic activities. This study employs a quantitative approach…
using remote sensing technology with PlanetScope satellite imagery to analyze land cover changes. The analysis reveals an increase in built-up land area from 171.29 hectares (7.31%) in 2015 to 395.66 hectares (16.89%) in 2025, while non-built-up land experienced a decline. These findings indicate a rapid development rate and highlight the importance of sustainable spatial planning. In conclusion, understanding the patterns and intensity of land cover changes in Tiakur City is crucial for evaluating spatial planning policies and improving infrastructure development planning for the future.
Abstract:This study aims to explore the ability of Cellular Automata-Markov (CA-Markov) model in predicting the expansion of urban growth rate in Ambon, Indonesia, and Gaza Strip, Palestine. Using a literature study approach, this…
s research collected and analyzed secondary data on land use change, population growth, and factors affecting urbanization in both regions. The results of the analysis show that the CA-Markov model has high accuracy in predicting land use change, and is able to describe the spatial dynamics of built-up land growth. This research emphasizes the importance of integrating environmental aspects in land use planning to achieve sustainable development. The findings are expected to provide useful recommendations for policy makers in managing urban growth, as well as enrich the literature on the application of the CA-Markov model in different contexts.
Abstract:Diarrhea is an infection of the digestive tract that poses a global health challenge, including in Indonesia. It is characterized by defecation occurring three or more times in children, or more than four times in neonates…
es within 24 hours, with stools that are soft or liquid, and sometimes contain blood. The incidence of diarrhea at the Kebun Kopi Health Center is particularly high. This study aims to analyze the factors related to the incidence of diarrhea in the working area of the Kebun Kopi Community Health Center, Jambi City. The research utilized a cross-sectional study design, with a population of 843 people, from which 71 samples were selected through accidental sampling. Data were collected through observation and questionnaires, and analyzed univariately and bivariately using the chi-square test. The results indicate a significant relationship between latrine ownership (p-value 0.000), hand washing behavior (p-value 0.000), and knowledge (p-value 0.000) with the incidence of diarrhea. The variables associated with the incidence of diarrhea at the Kebun Kopi Health Center in Jambi City include latrine ownership, hand washing behavior, and knowledge. The high incidence of diarrhea is closely linked to inadequate sanitation, poor hand washing practices, and low levels of health knowledge. To significantly reduce the incidence of diarrhea, it is essential to improve access to proper sanitation, promote effective hand washing practices, and enhance public knowledge about essential health practices.