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UNTUKMU.COM : THE CROWDSOURCING APPLICATION TO LEVERAGING THE USED OF SECONDHAND GOODS Arifin, Yulyani; Permai, Syarifah Diana; Pudjihastuti, Herena; Dwiputra, Kristian; Faisal, Fiandra Rheza; Marcellino, Marcellino
Social Economics and Ecology International Journal Vol 2, No 2 (2018): October
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/seeij.v2i2.5635

Information technology can be used in profit or non-profit activities. The concept of crowdsourcing has been widely used in fundraising in the form of money, better known as crowdfunding. In general, most people has secondhand items that are still good to use by others. On the other hand, there are also many people who need those items but cannot afford to buy them. A Website application with the Crowdsourcing concept can be used to bring together donors with recipients of donations in the form of goods.This study conducted data collection to assess the needs of application through questionnaires and analyzed the data using descriptive statistical analysis and Chi Square independence tests, and then developed a website-based application untukmu.com. This study examined the relationship between age, type of work and intention to donate and the type of goods needed. The Chi Square independence test showed that there is no relationship between age and type of work to the intention to donate. The descriptive statistics analysis showed that the majority (82%) of the types of goods usually donated by the donors are clothing. The results of the analysis provides input for the development of the application Untukmu.com. In the last stage, the study evaluated the level of satisfaction of the users (i.e. the donors) based on the level of ease of using the application and the time needed to master the application. The analysis showed that there is no relationship between the ease of use of the application and the donors satisfaction, but there is relationship between time needed to master the application to the user satisfaction. Untukmu.com application has a good usability level since users have no difficulty in using this application and are satisfied with the features available in the application.

PEMODELAN KECEPATAN ANGIN RATA-RATA DI SUMENEP MENGGUNAKAN MIXTURE OF ANFIS Syarifah Diana Permai; Nur Iriawan; - Irhamah
Jurnal Statistika Universitas Muhammadiyah Semarang Vol 1, No 2 (2013): Jurnal Statistika Universitas Muhammadiyah Semarang
Publisher : Department Statistics, Faculty Mathematics and Natural Science, UNIMUS

Angin memiliki dampak positif dan dampak negatif. Dampak positif dari angin yaitu memperlancar aktivitas pelayaran, membantu irigasi menggunakan kincir angin,pembangkit tenaga listrik dan lain sebagainya. Namun perubahan cuaca yang ekstrim akhir-akhir ini dapat menimbulkan angin kencang serta gelombang laut yang tinggi, sehingga menghambat pelayaran. Salah satu kabupaten yang mengalami dampak negatif ini adalah Sumenep, daerah pesisir di Pulau Madura. Oleh karena itu diperlukan pemodelan kecepatan angin rata-rata di Sumenep yang akurat. Dua metode yang diterapkan adalah Adaptive Neuro Fuzzy Inference System (ANFIS) dan Mixture of ANFIS. Mixture of ANFIS dilakukan melalui beberapa pembagian kelompok, yaitu dua, tiga, empat, lima dan enam kelompok. Evaluasi perbandingan kebaikan model dilakukan berdasarkan kriteria Root Mean Square Error (RMSE). Hasil evaluasi menunjukkan bahwa pemodelan kecepatan angin rata-rata menggunakan mixture of ANFIS dengan enam kelompok memiliki RMSE in sample dan out-sample lebih kecil daripada jumlah kelompok yang lain. Mixture of ANFIS memodelkan kecepatan angin rata-rata di Sumenep lebih baik dari ANFIS karena menghasilkan RMSE in dan out sample yang lebih kecil dari ANFIS. Kata kunci : Kecepatan Angin, ANFIS, Mixture of ANFIS

UNTUKMU.COM : THE CROWDSOURCING APPLICATION TO LEVERAGING THE USED OF SECONDHAND GOODS Yulyani Arifin; Syarifah Diana Permai; Herena Pudjihastuti; Kristian Dwiputra; Fiandra Rheza Faisal; Marcellino Marcellino
Social Economics and Ecology International Journal (SEEIJ) Vol. 2 No. 2 (2018): October
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/seeij.v2i2.5635

Information technology can be used in profit or non-profit activities. The concept of crowdsourcing has been widely used in fundraising in the form of money, better known as crowdfunding. In general, most people has secondhand items that are still good to use by others. On the other hand, there are also many people who need those items but cannot afford to buy them. A Website application with the Crowdsourcing concept can be used to bring together donors with recipients of donations in the form of goods.This study conducted data collection to assess the needs of application through questionnaires and analyzed the data using descriptive statistical analysis and Chi Square independence tests, and then developed a website-based application untukmu.com. This study examined the relationship between age, type of work and intention to donate and the type of goods needed. The Chi Square independence test showed that there is no relationship between age and type of work to the intention to donate. The descriptive statistics analysis showed that the majority (82%) of the types of goods usually donated by the donors are clothing. The results of the analysis provides input for the development of the application Untukmu.com. In the last stage, the study evaluated the level of satisfaction of the users (i.e. the donors) based on the level of ease of using the application and the time needed to master the application. The analysis showed that there is no relationship between the ease of use of the application and the donors satisfaction, but there is relationship between time needed to master the application to the user satisfaction. Untukmu.com application has a good usability level since users have no difficulty in using this application and are satisfied with the features available in the application.

Analysis of the relationship of the learning video with students 'understanding of learning materials Yulyani Arifin; Diana Syarifah Permai; Dicky Hida Syahchari; Raharto Condrobimo
Social Economics and Ecology International Journal (SEEIJ) Vol. 5 No. 1 (2021): March
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/seeij.v5i1.7369

The aim of the study was to examine the relationship between the relationship between instructional videos and students' understanding of the learning material. Researchers create digital learning materials through video material (VBL), especially math in RPTRA. The researchers used correlation analysis to examine the relationship between the learning material in video form and the level of understanding of the students in the material. The method used by the researcher was to experiment with elementary-level children from various primary schools. Then, based on the experimental results, the correlation analysis test was performed to see the relationship between the student's understanding and the learning material through video. From the results of the assessment, it can be seen that the video material can help the understanding of the students and can also increase the motivation of the students in learning mathematics. Therefore, video learning can help students understand mathematics and help teachers teach mathematics in a more interesting way.

PENGGUNAAN MODEL DISCOVERY LEARNING UNTUK MENINGKATKAN KOMPETENSI BELAJAR MATEMATIKA SISWA MATERI BANGUN RUANG SISI LENGKUNG DIANA SYARIFAH
SCIENCE : Jurnal Inovasi Pendidikan Matematika dan IPA Vol. 2 No. 1 (2022)
Publisher : Pusat Pengembangan Pendidikan dan Penelitian Indonesia (P4I)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51878/science.v2i1.1074

This study aims to describe the level of competence of learning outcomes in learning mathematics with the material of Constructing Curved Side Space by using the Discovery Learning learning model in class IX B students of SMP Negeri 16 semester II (two) for the 2020/2021 academic year. The problem that is the subject of discussion is whether through the Discovery Learning model can improve competence in learning to construct curved side spaces for class IX B SMP Negeri 16 second semester of the 2020/2021 academic year? The research method is in the form of Classroom Action Research (CAR) with 2 cycles, each cycle includes 4 stages, namely planning, action, observation and reflection. Data collection techniques are tests and observations with data collection tools in the form of written test questions and observation sheets which are validated by data through triangulation. The results of the study showed that the competence of learning outcomes in mathematics with curved side spaces for class IX B SMP Negeri 16 second semester of the 2020/2021 academic year increased from an average of 68.84 with 9 students or 26.47% in the pre-cycle to an average of 70. with 19 students or 55.88% in the first cycle and the second cycle to an average of 76 with 29 students or 85.29% complete the KKM. ABSTRAKPenelitian ini bertujuan untuk mendeskripsikan tingkat kompetensi hasil belajar dalam pembelajaran matematika materi Bangun Ruang Sisi Lengkung dengan menggunakan model pembelajaran Discovery Learning pada siswa kelas IX B SMP Negeri 16 semester II (dua) tahun pelajaran 2020/2021. Permasalahan yang menjadi pokok bahasan adalah apakah melalui model Discovery Learning dapat meningkatkan kompetensi dalam pembelajaran bangun ruang sisi lengkung siswa kelas IX B SMP Negeri 16 semester dua tahun pelajaran 2020/2021?. Metode penelitian berupa Penelitian Tindakan Kelas (PTK) dengan 2 siklus, masing- masing siklus meliputi 4 tahap yaitu perencanaan, tindakan, pengamatan dan refleksi. Teknik pengumpulan data dengan tes dan observasi dengan alat pengumpulan data berupa soal tes tulis dan lembar observasi yang divalidasi data melalui triangulasi. Hasil penelitian menunjukkan kompetensi hasil belajar matematika materi bangun ruang sisi lengkung siswa kelas IX B SMP Negeri 16 semester dua tahun pelajaran 2020/2021 meningkat dari rata-rata 68,84 dengan 9 siswa atau 26,47% pada pra siklus menjadi rata-rata 70 dengan 19 siswa atau 55,88% pada siklus I dan siklus II menjadi rata-rata 76 dengan 29 siswa atau 85,29% tuntas KKM.

Sampling methods in handling imbalanced data for Indonesia health insurance dataset Kurniadi, Felix Indra; Purwandari, Kartika; Wulandari, Ajeng; Permai, Syarifah Diana
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 1: March 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i1.pp348-357

Health insurance fraud is one of the most frequently occurring fraudulent acts and has become a concern for every insurance. According to data from The Indonesian General Insurance Association or Asosiasi Asuransi Umum Indonesia (AAUI), the private insurance industry suffered losses up to billions rupiah throughout 2018 due to the fraudulent acts commited by the perpetrators. The problem in with the number of frauds in Indonesia is that the current system is highly vulnerable and they is still done manually. The other problem from this detection is imbalance data which often occurs in fraudulent cases. In this research, we used a sampling methods using several machine learning as the baseline. The result shows that the instance hardness thresholding algorithm and extreme gradient boosting gives the best performance for all the case. It shows the method can reduced the bias and can achieve better generalization.

Efektifitas Pemberian Edukasi untuk Meningkatkan Pengetahuan Mengenai Pengobatan Asma dan Inhaler pada Apoteker Komunitas di Surabaya Amelia Lorensia; Ananta Yudiarso; Diana Syarifah; Ni Wayan Deviani Susanti
Jurnal Sains dan Kesehatan Vol. 3 No. 1 (2021): J. Sains Kes.
Publisher : Fakultas Farmasi, Universitas Mulawarman, Samarinda, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25026/jsk.v3i1.180

Pengobatan asma kurang optimal dapat disebabkan kurangnya pengetahuan dari apoteker sebagai tenaga kesehatan yang berperan memberikan informasi bagi pasien. Peran apoteker dibutuhkan karena apoteker berinteraksi langsung dengan pasien di apotek. Tujuan dari penelitian ini adalah mengetahui pengetahuan apoteker dengan pengaruh edukasi yang diberikan mengenai asma dan inhaler di wilayah Surabaya. Metode penelitian adalah pra-eksperimen dengan desian studi one group pre-post-test. Penelitian ini menggunakan kuisioner mengenai asma dan alat inhaler yang dinilai sebelum dan sesudah edukasi. Edukasi dilakukan dalam bentuk educational meeting yang aktivitasnya berupa workshop dalam berbagai format yang berfokus pada pengetahuan apoteker terhadap penyakit asma dan inhaler dengan mengunjungi apoteker satu per satu. Pengambilan sampel dengan metode non random sampling, menggunakan teknik purposive sampling. Data yang diperoleh akan diolah dengan analisis deskriptif dan analisis inferensial dengan paired t-test. Dari hasil pengumpulan data, 68 apoteker komunitas bersedia mengisi kuisioner pre-test dan hanya 20 apoteker yang bersedia diedukasi serta mengisi kuisioner post-test. Pada penelitian ini diperoleh nilai p(0,000)?0,05 yang menunjukkan ada perbedaan signifikan antara pengetahuan sebelum dan sesudah pemberian edukasi untuk meningkatkan pengetahuan asma dan inhaler. Meskipun efektif, namun terdapat beberapa materi pengetahuan yang tidak dapat ditingkatkan terutama mengenai penatalaksanaan asma, yang sangat dipengaruhi oleh kurangnya pengalaman dalam penanganan pasien asma di apotek.

Forecasting Poverty Ratios in Indonesia: A Time Series Modeling Approach Hidayat, Muhammad Fadlan; Henryka, Diva Nabila; Citra, Lovina Anabelle; Permai, Syarifah Diana
Engineering, MAthematics and Computer Science Journal (EMACS) Vol. 6 No. 3 (2024): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v6i3.11968

Poverty is one of the main problems still faced by Indonesia today. To help find the right solution, an annual prediction of the poverty rate in Indonesia is needed. This study uses data on the 'Ratio of the Number of Poor People in Indonesia per year from 1998 to 2023' obtained from data.worldbank.org. The prediction methods used in this study include the NaÃ¯ve Model, Double Moving Average, Double Exponential Smoothing, ARIMA, Time Series Regression, and Neural Network, with a total of 26 models. Of the 26 models, only 19 models passed the model comparison stage. Based on the evaluation results using the RMSE, MAE, MAPE, and MDAE metrics, it was concluded that the NNETAR Neural Network model showed the best performance among the six methods used to predict the poverty ratio in Indonesia.

The Moderating Role of Celebrity Endorsers in The Relationship Between Social Media Marketing Effort and Intention to Purchase Which Is Mediated by Brand Awareness at PT Sugarlab Royal Beauty Syarifah, Diana; Teofilus, Teofilus; Nainggolan, Romauli
Eduvest - Journal of Universal Studies Vol. 5 No. 5 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i5.51176

In the digital era, social media has become a powerful platform for brand promotion, with celebrity endorsers playing a key role in influencing consumer behavior. This study aims to evaluate celebrity endorsers' impact on enhancing Miracle Face Mist Sugarlab's brand awareness and examine the relationship between social media marketing efforts, brand awareness, and purchase intention. A quantitative approach was employed, and data were analyzed using Multiple Regression Analysis (MRA) through the SPSS Process tool to test the proposed hypotheses. The study focused on identifying how digital celebrity endorsements affect brand perception and consumer decision-making. The findings indicate that both social media marketing activities and the presence of celebrity endorsers significantly increase brand awareness. Furthermore, brand awareness was found to affect consumers’ intention to purchase the product strongly. These results highlight the importance of strategic influencer collaboration and effective social media engagement in driving brand visibility and consumer interest. The implications of this research suggest that beauty and skincare brands can optimize marketing outcomes by leveraging well-targeted celebrity endorsers in digital campaigns, thereby enhancing consumer trust and purchase likelihood.

Binary Classification of Asthma for the CAPS Pediatric Dataset in Malawi Using Machine Learning Sodiq, Jaffarus; Syarifah Diana Permai
Engineering, MAthematics and Computer Science Journal (EMACS) Vol. 7 No. 3 (2025): EMACS
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/emacsjournal.v7i3.14108

Childhood asthma poses a significant public health challenge, especially in low- and middle-income countries. An early intervention is essential for effective management and improved prevention of Childhood asthma. This study aims to develop a predictive model for childhood asthma by applying machine learning (ML) techniques. The dataset includes self-reported information on respiratory symptoms, anthropometric measurements, spirometry data, and personal carbon monoxide (CO) exposure among children aged 6–8 years in rural Malawi. We employed a supervised ML approach, focusing on classification algorithms and handling imbalanced outcomes, including Random Forest, Logistic Regression, and XGBoost. Additionally, this study applied the Synthetic Minority Over-sampling Technique (SMOTE), creating synthetic samples of the minority class to balance the distribution of the outcome variable in the training data. Data preprocessing involved handling missing values, feature selection, and normalization to ensure data quality and model performance. Model evaluation was conducted using cross-validation and performance metrics, including precision, recall, and F1-score. Among the evaluated models, Logistic Regression emerged as the most balanced approach, offering strong precision and the highest F1-score while maintaining a reasonable recall rate. This balance reduces the likelihood of overdiagnosis while still capturing a significant proportion of true positives, making it suitable for early screening applications. Moreover, Logistic regression, with its simple mathematical structure, provides more transparency and explainability, which are vital for clinical adoption and gaining practitioner trust.

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