E-Journal Portal System Universitas Trilogi
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POPULATION DISTRIBUTION OF FRUIT FLIES PEST BACTROCERA SP. ON PAPAYA PLANTS IN SEVERAL LOCATIONS IN JEMBER DISTRICT
Full text linkPapaya (Carica papaya L.) is a fruit with high economic value. Papaya production in Jember District in 2020 has decreased drastically to 55.8%. Production figures decreased from 215 thousand tons in 2019 to 95.1 thousand tons in 2020. The decline in production can be influenced by various factors, one of which is the lack of superior varieties cultivated and the development of pests and diseases. Fruit flies Bactrocera sp. are one of the pests that attack papaya plants and can cause fruit production failure in large quantities. Population distribution of fruit fly Bactrocera sp. on papaya plants needs to be investigated to determine its relationship with the intensity of attack by fruit fly pests Bactrocera sp. on papaya plants. This research was conducted on papaya plants in several locations in the Jember District. Sampling of fruit flies was carried out by setting traps using the Diagonal Sampling Technique by taking 5 sample points on each plot so that the sample points totaled 15 points. Data samples for calculating attack intensity were carried out by observing papaya fruit on 4 trees around the trap installation. So observations regarding the intensity of attacks were carried out on 60 papaya trees. The results showed that the distribution of fruit fly pest populations had a morbidity index value (Id < 1), meaning that fruit fly pests on papaya plantations had a regular distribution pattern. The intensity of attack by fruit flies on papaya plants is categorized as low attack intensity of 0% to 11.11%
Network Intrusion Detection Based on Machine Learning Classification Algorithms: A Review
Full text linkThe worldwide internet continues to spread, presenting numerous escalating hazards with significant potential. Existing static detection systems necessitate frequent updates to signature-based databases and solely detect known malicious threats. Efforts are currently being made to develop network intrusion detection systems that can utilize machine learning techniques to accurately detect and classify hazardous content. This would result in a decrease in the overall workload required. Network Intrusion Detection Systems are created with a diverse range of machine learning algorithms. The objective of the review is to provide a comprehensive overview of the existing machine learning-based intrusion detection systems, with the aim of assisting those involved in the development of network intrusion detection systems
ANALISIS FINANCIAL DISTRESS DENGAN MENGGUNAKAN METODE ALTMAN Z-SCORE, SPRINGATE, ZMIJEWSKI PADA PT GARUDA INDONESIA (PERSERO) TBK PERIODE 2018-2021
Full text linkThis study aims to determine how the condition of the financial performance of PT Garuda Indonesia (Persero) Tbk for the 2018-2021 period if measured using the Altman Z-Score, Springate, Zmijewski methods, and to analyse the corporate actions taken by PT Garuda Indonesia (Persero) Tbk for the 2018-2021 period. This study uses secondary data, taken from the annual financial statements of PT Garuda Indonesia (Persero) Tbk for the 2018-2021 Period, using comparative descriptive analysis techniques, carried out by analysing the condition of Financial Distress when measured by the Altman Z-Score, Springate, Zmijewski methods.The results showed that PT Garuda Indonesia (Persero) Tbk from 2018 to 2021 experienced financial distress when measured using the Altman Z-Score, Springate, Zmijewski methods, and the corporate actions taken did not have a significant impact to PT Garuda Indonesia (Persero) Tbk, and the most severe financial distress conditions experienced by PT Garuda Indonesia (Persero) Tbk in 2020 and 2021 as a result of the Covid-19 pandemic.Keywords : Financial Distress, Altman Z-Score, Springate, Zmijewsk
Penerapan Model Realistic Mathematics Education (RME) untuk Meningkatkan Hasil Belajar Matematika Pada Materi Unsur-Unsur Bangun Datar Siswa Kelas III SDN Tebet Timur 07 Jakarta Selatan
No full textenelitian ini bertujuan untuk meningkatkan pencapaian belajar matematika peserta didik melalui penerapan strategi pembelajaran Realistic Mathematics Education (RME) pada materi unsur-unsur bangun datar. Penelitian menerapkan metode Penelitian Tindakan Kelas (PTK) dengan model Kemmis & McTaggart yang dijalankan dalam dua tahap siklus di kelas III SDN Tebet Timur 07, Jakarta Selatan dengan jumlah siswa sebanyak 30 orang. Teknik pengumpulan data meliputi observasi, dokumentasi, dan tes sumatif. Hasil penelitian menunjukkan bahwa sebelum penerapan RME, rata-rata nilai siswa hanya 65,33%. Setelah penerapan model RME pada siklus I, rata-rata nilai meningkat menjadi 74,9%. Pada siklus II, terjadi peningkatan signifikan dengan rata-rata nilai mencapai 84,6% dan seluruh siswa mencapai ketuntasan belajar (100%). Pendekatan RME terbukti mampu meningkatkan pencapaian belajar matematika peserta didik secara efektif melalui penggunaan media konkret, serta pelibatan aktif siswa dalam diskusi kelompok dan pemecahan masalah
Improving Biology Learning Through Augmented Reality Technology in Indonesia: A Review
Full text linkBiology is always considered difficult either to teach or to learn. As a field of study that learning about living subjects, biology has very broad and abstract concepts. Many students find the abstract concepts of biology are hard to understand. Some students even feel that studying biology is a dull experience. This type of perception in students subsequently led to low academic achievement. Hence, an innovative and attractive learning approach is needed for teaching biology. Augmented Reality (AR) technology has a great possibility to improve biology learning experience due to its ability to concretize the abstract concepts in biology by providing natural interaction between virtual and real-time situations simultaneously. In the last decade, numerous research of implementing AR in education including biology learning have been studied globally and nationally. In order to evaluate the effectiveness of AR in improving biology learning especially for students in Indonesia, this literature review research is conducted. The reviewed articles are retrieved through Google Scholar database with the assigned criteria published between 2020 to 2024, AR implemented, biology learning, student perception, and/or achievement in biological studies. The analysis shows that implementing AR in biology learning increases students’ interest, learning motivation, involvement, collaboration, independent learning, knowledge retention, and achievement. However, the conflicted finding is reported regarding the influence of AR on students’ critical thinking ability. Technical problems related to downloading and distributing AR applications are the main challenge that has been reported when using AR in biology learning
Comparative Analysis of Sorting Algorithms: TimSort Python and Classical Sorting Methods
Full text linkThe sorted() function within the Python programming language has emerged as the primary choice among developers for sorting operations. Consequently, this study offers a comparative analysis of various classical sorting algorithms and Python's built-in sorting mechanisms, with the objective of identifying the most time-efficient sorting algorithm. The analysis involves assessing the time complexity of each algorithm while handling data arrays ranging from 10 to 1,000,000 elements using Python. These arrays are populated with randomly generated numeric values falling within the range of 1 to 1000. The benchmark algorithms utilized encompass Heap Sort, Shell Sort, Quick Sort, and Merge Sort. A looping mechanism is applied to each algorithm, and their execution speeds are gauged utilizing the Python 'time.perf_counter()' library. The findings of this study collectively indicate that Python's standard algorithm, surpasses classic sorting algorithms, including Heapsort, Shellsort, Quicksort, and Mergesort, in terms of execution
TINDAKAN TAX AVOIDANCE SEBELUM DAN SESUDAH PANDEMI COVID-19 PADA PERUSAHAAN MANUFAKTUR PERIODE 2018-2021
Full text linkThe research aims to determine tax avoidance actions before and after the Covid-19 pandemic. This research is a quantitative research. The population in this research is Manufacturing Companies listed on the Indonesia Stock Exchange in 2018-2021 with 75 ETR samples, 61 CETR samples and 86 BTD samples taken using a purposive sampling method. The result of this study concluded that there were no differences in tax avoidance before and after the Covid-19 pandemic, both when measured using ETR, CETR and BTDKeywords: Book Tax Difference; Cash Effective Tax Rate; Effective Tax Rate; Covid-19 Pandemic; Tax Avoidanc
Menanamkan Cinta Budaya Sejak Dini Melalui Media Smart Box Pada Siswa Kelas V Sekolah Dasar
Full text linkBudaya merupakan hal yang sangat penting untuk dilestarikan, terutama bagi anakanak usia sekolah dasar sebagai penerus bangsa. Penelitian ini mengangkat judul aplikasi Media Pembelajaran smart box pada pembelajaran Warisan Budaya di Indonesia pada siswa kelas V SD N 10 Bebesen yang berjumlah 20 siswa. Media smart box adalah media pilihan yang digunakan peneliti. Media smart box dapat diartikan sebagai media bentuk balok atau kubus berbahan kardus dengan isi didalamnya berupa kartu, gambar, dan lainnya. Penelitian ini menggunakan metode penelitian yaitu metodelogi penelitian eksperimen. Tujuan dari penelitian ini adalah untuk mengenalkan kepada anak-anak pada media pembelajaran yang menyenangkan dan mengajak anakanak untuk melestarikan budaya yang ada di Indonesia. Hasil penelitian ini menunjukkan adanya peningkatan yang signifikan sehingga media pembelajaran yang diterapkan layak digunakan pada satuan pendidikan khususnya dalam pembelajaran keberagaman budaya di Indonesia. Penelitian ini diharapkan mampu menjadikan mahasiswa sebagai bibit perubahan nasional yang unggul dan mampu menjaga keutuhan yang ada di Indonesia
Designing a Game-Based English Learning Application for Early Childhood Learners Using TPACK Framework
Full text linkPenelitian ini bertujuan untuk merancang aplikasi pembelajaran bahasa Inggris berbasis game untuk anak usia dini dengan menggunakan kerangka kerja TPACK (Technological Pedagogical Content Knowledge) sebagai dasar utama. Masalah yang diangkat adalah terbatasnya media pembelajaran digital yang interaktif dan sesuai dengan karakteristik anak usia dini, terutama yang mengintegrasikan anatara pengetahuan teknologi, pedagogi, dan konten. Metode utama yang digunakan adalah penelitian dan pengembangan (R&D) dengan model ADDIE. Pada tahap desain dan pengembangan, dipilih tema kosakata sesuai untuk anak usia 4-6 tahun dan dikembangkan dalam bentuk game interaktif seperti mencocokkan gambar, aktivitas drag and drop, dan cerita bergambar dengan narasi suara. Aplikasi diuji coba pada sekelompok kecil siswa taman kanak-kanak dan menunjukkan peningkatan dalam pengenalan kosakata, keterlibatan, dan motivasi belajar. Validasi dari pakar pendidikan anak usia dini dan pengembang multimedia menunjukkan bahwa aplikasi memiliki tingkat kegunaan yang tinggi serta kesesuaian pedagogis dan teknologi yang baik. Hasil ini menegaskan bahwa integrasi TPACK dalam desain media digital dapat meningkatkan kualitas dan efektivitas pembelajaran bahasa Inggris untuk anak usia dini. Penelitian ini menyimpulkan bahwa aplikasi berbasis gim dengan pendekatan TPACK merupakan media pembelajaran yang tepat, menyenangkan, dan bermakna bagi anak usia dini dalam belajar bahasa Inggri
Design of Warehouse Information System for KCM Division Using Javascript
Full text linkIncreasingly advanced technological developments force business people to be adaptive, especially when there is an increase in production. The KCM division, one of the PT XYZ business units operating in the media sector, experienced increased production. This causes the production equipment to be borrowed irregularly, and information on the warehouse of production equipment is also difficult to find. The Warehouse Information System is the solution to this problem. This research aims to create a warehousing information system that records all information on borrowing production equipment, fulfills warehousing information needs, and solves several existing warehousing problems. This research method is an experimental one-shot case study designed with the Framework for the Applications of System Thinking (FAST) and using simple, easily accessible, and free tools, namely Google Spreadsheet and Javascript coding. The results of this research are that the KCM division's warehousing information system that has been created has been tested to be 100% capable of meeting information needs for borrowing production equipment and resolving existing warehousing problems based on system tests that have been carried out. It is recommended that this system be further developed in future research to overcome minor errors in coding