Abstract:The rapid advancement of information and communication technology has transformed learning paradigms in higher education, particularly through the implementation of flexible digital learning systems that emphasize student…
t learning autonomy. Higher education institutions providing distance education face challenges in delivering digital learning materials that are not only easily accessible but also capable of sustainably enhancing students’ learning motivation. The research problem addressed in this study focuses on the extent to which the utilization of Android-based digital learning materials influences the learning motivation of students at Universitas Terbuka. The purpose of this study is to analyze the effect of using Android-based digital learning materials on students’ learning motivation in the context of distance education. A quantitative approach was employed using a survey method as the research design. The research sample consisted of 97 Universitas Terbuka students from UT Ambon, UT Gorontalo, and UT Makassar, selected through simple random sampling. Data were collected using structured questionnaires, while data analysis was conducted through simple linear regression with the assistance of SPSS software. The results of the analysis indicate that the utilization of Android-based digital learning materials has a positive and significant effect on students’ learning motivation, as evidenced by a regression coefficient value of 0.442 and a significance value of 0.000, which is below the 0.05 significance threshold. These findings confirm that improvements in the intensity and quality of using Android-based digital learning materials are directly associated with increased student learning motivation. The novelty of this study lies in strengthening empirical evidence on the effectiveness of Android-based digital learning materials in a cross-regional distance education context, while also providing practical contributions to the development of digital learning strategies aimed at enhancing the learning motivation of Universitas Terbuka students.
Abstract:The phenomenon of increasing consumption of homoromantic fiction content among early adult women has given rise to the term Fujoshi, which is often directly associated with support for LGBT issues, although such an interpretation…
pretation does not necessarily reflect individuals’ attitudes in a comprehensive manner. This study is grounded in the need to understand the attitudes of early adult Fujoshi in a more nuanced and non-simplistic way, particularly through the framework of attitude theory encompassing cognitive, affective, and conative dimensions. The research problem focuses on how Fujoshi aged 18-40 interpret, experience, and express their attitudes toward homoromantic fiction content and its relationship to social values and norms in real life. This study employed a descriptive qualitative approach using in-depth interviews with three Fujoshi informants who are members of the XX fan chat group. The findings indicate that social media and peer networks play a significant role in the process of becoming a Fujoshi, as well as in shaping relatively intensive and repetitive patterns of content consumption as a form of emotional entertainment. Cognitively, the informants recognize that homoromantic fiction is related to LGBT issues; however, at the affective level, their interest is primarily driven by the uniqueness of the narrative structure and character dynamics rather than by sexual orientation itself. In the conative dimension, most informants do not demonstrate a tendency to support LGBT practices in real life; some even hold conservative views and display critical awareness of the potential negative impacts of their hobby, which they perceive as not fully aligned with prevailing social norms. The study concludes that Fujoshi attitudes are complex, ambivalent, and highly contextual. The novelty of this research lies in revealing a clear differentiation between the consumption of homoromantic fiction as a form of symbolic entertainment and individuals’ value positions toward social reality, which are often normatively conflated in previous assumptions.
Abstract:Manuscripts hold immense value as precious treasures passed down from our ancestors and scholars. They serve as a bridge between the past and present, offering a rich source of knowledge for contemporary society. This study…
udy aims to: (1) ascertain the legal rulings regarding Eid prayers; (2) determine the proper procedures for performing Eid prayers; and (3) identify the recommended practices associated with Eid prayers. Various methods are employed in manuscript research. This study utilizes a combination of textual criticism and popular readings to analyze an ancient manuscript. Additionally, the study draws upon Islamic jurisprudence (fiqih) to examine and reinforce the content of the manuscript. The popular readings used as a reference are found in the book Fathul Qorib by Shaykh Syamsudin. The findings of this study are as follows: (1) the legal rulings regarding attendance at Eid prayers; (2) the proper procedures for performing Eid prayers; and (3) the recommended practices associated with Eid prayers.
Abstract:This research aims to discuss the importance of learning as a process that involves direct experience and not just remembering information. Researchers use a constructivist approach in social studies learning to see how…
students are engaged and their learning outcomes. Constructivism emphasizes the importance of a learning environment that can support students in developing their own perspectives. Through qualitative research methods with the type of library research, this research focuses on how to implement social studies learning using a constructivist approach because the challenges and teaching of social studies are often associated with still using traditional learning which tends to be monotonous and does not encourage student involvement. The research results show that the constructivist approach can actually provide social studies teachers with access to choose appropriate learning rules, provide opportunities to make their own assessments and of course can reduce the teacher's burden because the teacher only acts as a facilitator.
Abstract:The pilgrimage to Mecca, known as Hajj, is a significant religious obligation for Muslims around the world. Indonesia, with its large Muslim population, annually sends a substantial number of pilgrims to perform Hajj. This…
is study conducts an evaluation of the policy regarding the organization of Hajj and assesses its implications on the government expenditure of Indonesia for the year 2023. The evaluation focuses on the efficiency, effectiveness, and financial sustainability of the current policy, considering factors such as Hajj quota management, transportation, accommodation, and associated services. The study aims to provide insights into how the Hajj policy impacts the Indonesian government's fiscal allocation and overall budgeting, shedding light on potential areas for improvement and optimization of resources in the future. The findings of this research contribute to better policy formulation and decision-making processes, ultimately aiming to enhance the overall management of Hajj and optimize government expenditure.
Abstract:Abstract: This research focuses on the analysis and design of a cattle disease detection system using the Forward Chaining technique. This system aims to help farmers identify various diseases in cattle quickly and accurately,…
ately, which can ultimately improve livestock health and livestock productivity. In developing this system, the Forward Chaining technique is used as the main inference method. This method was chosen because of its ability to produce conclusions based on available facts in stages, so it is very suitable for expert system applications that require repeated and complex decision-making processes. This research begins with a system requirements analysis that includes identification of common types of cattle diseases, associated symptoms, as well as the knowledge and rules required for the diagnosis process. Next, system design is carried out which includes creating a knowledge base, inference engine, and user interface. The result of this research is a prototype expert system for diagnosing cattle diseases which has been tested and shows satisfactory performance in detecting various cattle diseases based on the symptoms entered. With this system, it is hoped that farmers can more quickly take appropriate action against diseases that attack their livestock, so that they can minimize losses and increase the efficiency of livestock businesses.
Keywords: analysis; expert system; forward chaining; cattle disease; website.
Abstrak: Penelitian ini berfokus pada analisis dan perancangan sistem deteksi penyakit sapi menggunakan teknik Forward Chaining. Sistem ini bertujuan untuk membantu peternak dalam mengidentifikasi berbagai penyakit pada sapi secara cepat dan akurat, yang pada akhirnya dapat meningkatkan kesehatan ternak dan produktivitas peternakan. Dalam pengembangan sistem ini, teknik Forward Chaining digunakan sebagai metode inferensi utama. Metode ini dipilih karena kemampuannya dalam menghasilkan kesimpulan berdasarkan fakta-fakta yang tersedia secara bertahap, sehingga sangat cocok untuk aplikasi sistem pakar yang memerlukan proses pengambilan keputusan berulang dan kompleks. Penelitian ini dimulai dengan analisis kebutuhan sistem yang mencakup identifikasi jenis-jenis penyakit sapi yang umum, gejala-gejala yang terkait, serta pengetahuan dan aturan yang diperlukan untuk proses deteksi. Selanjutnya, dilakukan perancangan sistem yang mencakup pembuatan basis pengetahuan, mesin inferensi, dan antarmuka pengguna. Hasil dari penelitian ini adalah sebuah prototipe sistem pakar deteksi penyakit sapi yang telah diuji dan menunjukkan kinerja yang memuaskan dalam mendeteksi berbagai penyakit sapi berdasarkan gejala-gejala yang dimasukkan. Dengan sistem ini, diharapkan peternak dapat lebih cepat dalam mengambil tindakan yang tepat terhadap penyakit yang menyerang ternaknya, sehingga dapat meminimalisir kerugian dan meningkatkan efisiensi usaha peternakan.
Kata kunci: analisis; sistem pakar; forward chaining; penyakit sapi; website
Abstract: Abstract: Based on the results of National Basic Health Research in 2018 according to the proportion of total cholesterol levels in the population aged ≥45 years, 5 stated that as many as ≥10.5% of people had high…
had high cholesterol levels. The factors that cause hypercholesterolemia are nutritional status, especially obesity. Obesity is associated with lipoprotein, decreased High-Density Lipoprotein (HDL), and increased triglycerides and LDL, especially in central obesity. People who have a high percentage of body fat tend to have higher total cholesterol, LDL, and triglycerides compared to people who have normal weight. Nutrition counseling activities are carried out at the Johar Baru District Health Center which will be held on November 7, 2022. Respondents will be given a pre-test form containing 10 true and false statements for 10-15 minutes and then counseling will be carried out through poster media. After that, the respondent was given a post-test form. After 3 days of giving the material, monitoring, and evaluation were carried out on 5 respondents. This Monitoring and Evaluation will be carried out via telephone or the Whatsapp app. Based on the results of bivariate analysis, the results of knowledge obtained were p-value = 0.055 (p-value <0.05) so that it could be concluded that there was no difference in knowledge before and after nutritional education counseling using poster media in PTM patients at the Johar Baru District Health Center, Central Jakarta.
Keywords: cholesterol; fat consumption
Abstrak: Berdasarkan Hasil Riset Kesehatan Dasar Nasional pada tahun 2018 menurut proporsi kadar kolesterol total pada penduduk umur ≥45 tahun, 5 menyebutkan bahwa sebanyak ≥10,5% masyarakat memiliki kadar kolesterol tinggi. Adapun faktor penyebab hiperkolesterolemia adalah status gizi terutama obesitas. Terdapat keterkaitan antara obesitas dengan lipoprotein, peningkatan trigliserida dan LDL, penurunan High Density Lipoprotein (HDL), terutama pada obesitas sentral. Individu dengan persen lemak tubuh yang tinggi cenderung memiliki total kolesterol, LDL dan trigliserida yang lebih tinggi dibandingkan dengan individu dengan berat badan normal. Kegiatan penyuluhan gizi dilakukan di Puskesmas Kecamatan johar Baru yang dilaksanakan pada tanggal 7 November 2022. Responden akan diberikan form pre test yang berisikan 10 pernyataan benar dan salah selama 10-15 menit dan selanjutnya akan dilakukan penyuluhan melalui media poster. Setelah itu responden diberikan form post test. Setelah 3 hari pemberian materi dilakukan monitoring dan evaluasi kepada 5 responden. Monitoring dan Evaluasi ini akan dilakukan melalui telepon ataupun app Whatsapp. Berdasarkan hasil analisis bivariat, didapatkan hasil pengetahuan nilai p value = 0.055 (p-value < 0,05) sehingga dapat disimpulkan bahwa tidak terdapat perbedaan pengetahuan sebelum dan sesudah penyuluhan edukasi gizi menggunakan media poster pada pasien PTM di Puskesmas Kecamatan Johar Baru Jakarta Pusat.
Kata kunci: kolesterol; konsumsi lemak
Abstract:Abstract :Knowledge of computer science today is very necessary especially for students. One of them learns computer network which is a science that many people need. Associated with the existence of computer network so…
many jobs like send data, print paper to one printer by many computers easy to do. However, the knowledge of this is difficult to be able to by students in schools due to many obstacles such as incomplete equipment, competent tutors in their field no, that is experienced by students of SMA Negeri 1 Air Joman Kabupaten Asahan. Then need a solution that provides that knowledge. Cisco packet tracer which is a free application that can provide an overview of the computer network. With these applications it will be easy to provide knowledge of computer networks that can be provided through lectures, frequently asked questions and practice. The lecture method used is intended to provide a theoretical explanation of computer network material. Practice method is used to show directly how to make network cable and data communications. So that the benefits gained from this workshop activities is to increase students' knowledge of network technology and students are able to make a network connection with cable.
Keywords :Network, Computer, Cisco
Abstrak :Pengetahuan akan ilmu komputer saat ini sangat diperlukan terkhusus untuk kalangan pelajar.Salah satunya belajar jaringan komputer yang merupakan ilmu yang banyak dibutuhkan masyarakat.Berhubungan dengan adanya jaringan komputer maka banyak pekerjaan seperti kirim data, cetak kertas ke satu printer oleh banyak computer mudah dilakukan. Namun, pengetahuan akan hal ini sulit di dapat oleh pelajar di sekolah berhubung banyak kendala seperti peralatan yang tidak lengkap, tutor yang berkompeten dibidangnya tida ada, itulah yang dialami oleh siswa SMA Negeri 1 Air Joman Kabupaten Asahan. Maka perlu solusi yang memberikan pengetahuan tersebut.Cisco packet tracer yang merupakan aplikasi gratis yang dapat memberikan gambaran atas jaringan komputer. Dengan aplikasi tersebut maka akan mudah memberikan pengetahuan akan jaringan komputer yang dapat diberikan melalui ceramah, tanya jawab dan praktek. Metode ceramah yang digunakan dimaksudkan untuk memberikan penjelasan secara teori terhadap materi jaringan komputer.Metode praktek digunakan untuk menunjukan langsung cara membuat kabel jaringan dan komunikasi data. Sehinga manfaat yang diperoleh dari kegiatan workshop ini adalah meningkatkan pengetahuan siswa terhadap teknologi jaringan dan siswa mampu membuat koneksi jaringan dengan kabel.
Kata kunci : Jaringan, Komputer, Cisco
Abstract:Abstract: The rapid growth of e-commerce mobile applications has generated large volumes of user reviews, making manual sentiment analysis increasingly impractical. This study aims to compare the effectiveness of three machine…
achine learning algorithms Support Vector Machine (SVM), Random Forest, and Naive Bayes for automated sentiment classification of Indonesian-language mobile application reviews. A dataset of 3,000 user reviews from the RupaRupa application on the Google Play Store was collected and preprocessed through normalization, tokenization, stopword removal, and stemming. TF-IDF vectorization was applied for feature extraction, while the Synthetic Minority Over-sampling Technique (SMOTE) was used to address class imbalance across three sentiment categories: positive, negative, and neutral. The results show that SVM achieved the highest accuracy of 90.02%, while Random Forest obtained the best F1-score of 88.08% when sufficient training data were available. Naive Bayes demonstrated relatively stable performance across varying training data sizes. Furthermore, TF-IDF keyword analysis revealed that negative reviews were primarily associated with delivery issues, technical problems, and pricing concerns. These findings demonstrate the effectiveness of machine learning approaches for sentiment classification and provide practical insights for improving mobile application services.
Keywords: sentiment analysis; machine learning; SMOTE; TF-IDF; text classification
Abstrak: Pertumbuhan pesat aplikasi mobile e-commerce telah menghasilkan volume ulasan pengguna yang sangat besar, sehingga analisis sentimen secara manual menjadi semakin tidak praktis. Penelitian ini bertujuan untuk membandingkan efektivitas tiga algoritma machine learning Support Vector Machine (SVM), Random Forest, dan Naive Bayes dalam melakukan klasifikasi sentimen otomatis terhadap ulasan aplikasi mobile berbahasa Indonesia. Dataset yang digunakan terdiri dari 3.000 ulasan pengguna aplikasi RupaRupa yang dikumpulkan dari Google Play Store. Data kemudian diproses melalui tahapan preprocessing yang meliputi normalisasi, tokenisasi, penghapusan stopword, dan stemming. Ekstraksi fitur dilakukan menggunakan metode Term Frequency–Inverse Document Frequency (TF-IDF), sedangkan ketidakseimbangan kelas ditangani menggunakan Synthetic Minority Over-sampling Technique (SMOTE) pada tiga kategori sentimen, yaitu positif, negatif, dan netral. Hasil penelitian menunjukkan bahwa SVM mencapai tingkat akurasi tertinggi sebesar 90,02%, sementara Random Forest memperoleh nilai F1-score terbaik sebesar 88,08% ketika tersedia data pelatihan yang memadai. Naive Bayes menunjukkan performa yang relatif stabil pada berbagai ukuran data pelatihan. Selain itu, analisis kata kunci berbasis TF-IDF mengungkapkan bahwa ulasan negatif terutama berkaitan dengan masalah pengiriman, kendala teknis aplikasi, dan isu harga. Temuan ini menunjukkan bahwa pendekatan machine learning efektif untuk klasifikasi sentimen serta memberikan wawasan yang bermanfaat dalam meningkatkan kualitas layanan aplikasi mobile.
Kata Kunci: analisis sentimen; pembelajaran mesin; SMOTE; TF-IDF; klasifikasi teks.
Abstract:Abstract: Mental health issues, particularly depression among young adult university students, are often detected late due to stigma and reluctance to seek medical consultation. The objective of this study is to develop…
an early screening model employing machine learning techniques, specifically the random forest algorithm, on a dataset of 268 students (aged 17-29 years; consisting of 98 males and 170 females) within a multicultural educational setting. The principal challenges associated with this dataset are class imbalance and the potential for data leakage from clinical scores. This study implements a rigorous feature selection approach that involves the elimination of depression score features and the utilization of the Synthetic Minority Over-sampling Technique (SMOTE) to balance the training data distribution. Furthermore, a Threshold Tuning strategy is employed to prioritize detection sensitivity (Recall). The findings indicate that reducing the decision threshold to an optimal value of 0.25 led to a substantial enhancement in the recall value, increasing it from 36% (baseline) to 77%. A feature importance analysis was conducted, the results of which indicated that Total Social Connectedness (ToSC) is the most dominant predictor. In summary, the present study corroborates the notion that optimizing sensitivity through threshold tuning is of paramount importance for medical screening. Furthermore, social isolation factors emerge as more significant indicators of depression risk than demographic attributes.
Keywords: data mining; depression; imbalanced data; random forest; smote; threshold tuning
Abstrak: Masalah kesehatan mental, khususnya depresi di kalangan mahasiswa dewasa muda, sering terdeteksi terlambat akibat stigma dan enggan mencari konsultasi medis. Tujuan studi ini adalah mengembangkan model skrining dini menggunakan teknik machine learning, khususnya algoritma random forest, pada dataset 268 mahasiswa (usia 17-29 tahun; terdiri dari 98 laki-laki dan 170 perempuan) dalam lingkungan pendidikan multikultural. Tantangan utama yang terkait dengan dataset ini adalah ketidakseimbangan kelas dan potensi kebocoran data dari skor klinis. Studi ini menerapkan pendekatan seleksi fitur yang ketat, yang melibatkan eliminasi fitur skor depresi dan penggunaan Teknik Over-sampling Minoritas Sintetis (SMOTE) untuk menyeimbangkan distribusi data pelatihan. Selain itu, strategi Penyesuaian Ambang Batas diterapkan untuk memprioritaskan sensitivitas deteksi (Recall). Hasil penelitian menunjukkan bahwa mengurangi ambang batas keputusan ke nilai optimal 0,25 menyebabkan peningkatan signifikan dalam nilai recall, dari 36% (dasar) menjadi 77%. Analisis pentingnya fitur dilakukan, hasilnya menunjukkan bahwa Total Social Connectedness (ToSC) adalah prediktor yang paling dominan. Secara ringkas, studi ini membenarkan bahwa mengoptimalkan sensitivitas melalui penyesuaian ambang batas sangat penting untuk skrining medis. Selain itu, faktor isolasi sosial muncul sebagai indikator risiko depresi yang lebih signifikan daripada atribut demografis.
Kata kunci: penambangan data; depresi; data tidak seimbang; hutan acak; smote; penyesuaian ambang batas