Pedoman dalam identifikasi masalah terbagi menjadi beberapa pertimbangan yaitu (1) Masalah yang diajukan dalam penelitian merupakan penelitian yang layak diteliti. (2) Mempunyai nilai teoritis dan praktis. (3) Realistis. (4) Identifikasi masalah mempertimbangkan keaktualan dan kebaharuan.
The purpose of this research was to build a classification model and to measure the correlation of self-efficacy with visual-verbal preferences using data mining methods. This research used the J48 classifier and linear projection method as an approach to see patterns of data distribution between self-efficacy and visual-verbal preferences. The measurement of the correlation of engineering students' self-efficacy with visual-verbal preferences using the data mining method approach gets the result that self-efficacy does not correlate with visual-verbal preferences. However, engineering students' self-efficacy influences the achievement of initial learning outcomes. Visual-verbal preference is more influenced by students' interest in images so it can be concluded that self-efficacy affects the initial results of learning but does not have a correlation with visual-verbal preferences. The results of the decision tree provide the results that are easily understood and present a correlation between self-efficacy and visual-verbal preferences in a visual form.
Keywords: self-efficacy, visual-verbal preferences, data mining.
Currently, the online learners are increasingly demanding more personalized learning since the web technology, and the learners have individual features of characteristics such as learning goals, experiences, interests, personality traits, learning styles, learning activities, and prior knowledge. A personalized learning process requires an adaptive learning system (ALS). In order to adapt, a learner model is required. Thus, modelling the learner model in an adaptive system environment is a key point to success in recommending the learner. The ontology-based approach was used to model the adaptive learning model in this research. Ontology is a graph structure that consists of a collection of contexts, relationships, and models which related to contexts. The ontology of the learner model enables to produce a description of learner’s properties which contains important information about domain knowledge, learning performance, interests, preference, goal, tasks, and personal traits.Keywords - Personalized Learning, Adaptive Learning System, Ontology, Learner Model
Penelitian ini bertujuan untuk mengetahui pembuatan dan perancangan aplikasi pemesanan travel berbasis android. Metode pemesanan travel berbasis android ini bertujuan untuk lebih memudahkan pelanggan dari Transwisata Travelindo Tour and Travel dalam hal booking travel. Untuk ruang lingkup penelitian hanya dilakukan pada Transwisata Travelindo Tour and Travel dan sistem aplikasi tersebut berisi tentang informasi jadwal keberangkatan, rute keberangkatan travel, serta tarif atau harga travel. Sistem pembayaran yang digunakan dalam hal pemesanan travel diharuskan pelanggan melakukan proses transfer sesuai dengan total biaya via rekening bank di Transwisata Travelindo. Payment akan dinyatakan berhasil oleh admin jika pembayaran sesuai dengan biaya pemesanan travel. Proses selanjutnya admin akan mengirimkan tiket travel ke email pelanggan. Untuk laporan keuangan yang diterima akan terperinci dan jelas yang bertujuan mempermudah untuk laporan sehingga semua pekerjaan tidak keseluruhannya menggunakan cara manual.
Considering the rapid change in learning orientation towards digital-based learning, it is necessary to validate online learning readiness. Several previous studies have discussed the importance of measuring online learning readiness, but very few have discussed their approach with demographic data. This study uses a developmental study approach and validation of online learning readiness to evaluate how ready students are to face online learning. This study involved 450 students from two universities consisting of 122 male and 328 female. The three stages of research include reliability testing, validity testing and exploration of demographic data based on the validation results of online learning readiness measurements. This study answered three research questions: (1) How does the reliability of online learning readiness measurement?; (2) How does the validity of online learning readiness measurement?;(3) How does the demographic data on online learning readiness?. This study went through a systematic validation stage and found that the measurement of online learning readiness met the requirements for reliability and validity. Meanwhile, the results of the demographic data exploration found that there was no significant effect of gender differences on online learning readiness. However, further differences in study backgrounds present different results where the study program background gives positive results on several aspects of online learning readiness.
Telah banyak teknologi canggih yang diciptakan untuk membantu manusia dalam bidang pertanian, pertanian diIndonesia memegang peran penting dalam ketersediaan bahan pangan, salah satunya buah-buahan. Buah yang memilikikonsumen tinggi buah stroberi, tapi dengan banyaknya konsumen petani stroberi masih menggunakan penyiraman yangmanual, hal ini membuat petani lupa akan kebutuhan stoberi dimana tanah harus selalu dalam keadaan lembab. Maka dari ituuntuk membantu petani stroberi dalam penyiraman stroberi dibutuhkan alat penyiraman otomatis dimana ada alat sensorkelembaban YL-69 yang akan menyiram disaat stroberi kekurangan air dan ditambah dengan alat sensor suhu DS18B20yang akan membantu stroberi berada dalam suhu yang sesuai, penelitian ini bertujuan untuk mengetahui bagaimanaperancangan dari alat penyiraman tanaman ini, dengan menggunakan jenis penelitihan research & development (R&D)bersumber dari data primer yang merupakan hasil observasi, dokumentasi, pengujian dan data sekunder berupa studi pustakadan teori yang mendukung. Hasil dari pengukuran dapat disimpulkan bahwa stroberi tetap tumbuh pada suhu berkisar 16 °C– 27 °C, selain suhu ada faktor yang mempengaruhi tanaman stroberi yaitu kelembapan tanah yang berkisar 40% - 70%.
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