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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Swabumi (Suara Wawasan Sukabumi) : Ilmu Komputer, Manajemen, dan Sosial INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Jurnal Matematika: MANTIK Jurnal Matematika Sains dan Teknologi BAREKENG: Jurnal Ilmu Matematika dan Terapan JCES (Journal of Character Education Society) JTP - Jurnal Teknologi Pendidikan Jurnal Varian International Journal of Global Operations Research Parameter: Journal of Statistics
Hasanah, Siti Hadijah
Universitas Terbuka, Indonesia
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Analysis of CART and Random Forest on Statistics Student Status at Universitas Terbuka Siti Hadijah Hasanah; Eka Julianti
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 6 No 1 (2022): February 2022
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (249.763 KB) | DOI: 10.29407/intensif.v6i1.16156

Abstract

CART and Random Forest are part of machine learning which is an essential part of the purpose of this research. CART is used to determine student status indicators, and Random Forest improves classification accuracy results. Based on the results of CART, three parameters can affect student status, namely the year of initial registration, number of rolls, and credits. Meanwhile, based on the classification accuracy results, RF can improve the accuracy performance on student status data with a difference in the percentage of CART by 1.44% in training data and testing data by 2.24%.
Multivariate Adaptive Regression Splines (MARS) for Modeling Student Status at Universitas Terbuka Siti Hadijah Hasanah
Jurnal Matematika MANTIK Vol. 7 No. 1 (2021): Mathematics and Applied Mathematics
Publisher : Mathematics Department, Faculty of Science and Technology, UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15642/mantik.2021.7.1.51-58

Abstract

Multivariate Adaptive Regression Splines (MARS) used to model the active student’s status in the Department of Statistics at Universitas Terbuka and determine the factors that influence the response variable. This study consists of 9 variables, namely gender, age, education, marital status, job, initial registration year, number of registrations, credits, and GPA, but after modeling using the MARS method, the explanatory variable can affect the response variable is the initial registration year. Several registrations, GPA, and credits. Based on the results of the R output and using a 95% confidence interval, each base 1 to 10 function is partially significant with the p-value of the base 1-10 function being smaller than 0.05 and simultaneously with a smaller p-value. of 0.05, so that the above model has a significant effect partially or simultaneously on the response variable. From these results, it is concluded that the MARS model is suitable for determining the factors that affect the active status of students.
COUNSELING ON HEALTHY FOOD MANAGEMENT FOR UNDERNOURISHED TODDLERS AT TUNAS HARAPAN PAMULANG TANGERANG SELATAN Sri Enny Triwidiastuti; Siti Hadijah Hasanah
JCES (Journal of Character Education Society) Vol 5, No 1 (2022): Januari
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jces.v5i1.5648

Abstract

Abstrak: Penyuluhan Pengolahan Makanan Sehat yang dilakukan di Pos Gizi Tunas Harapan Pamulang Timur merupakan penyuluhan dalam peningkatan kemampuan para kader Pos Gizi dan ibu-ibu yang memiliki balita berstatus gizi kurang. Kegiatan ini memberikan penyuluhan tentang cara pengolahan makanan sehat, perilaku hidup sehat, dan pemberian makanan tambahan (PMT). PMT ini menggunakan bahan baku pangan lokal dengan menu khas daerah yang disesuaikan dengan kondisi setempat. Data bayi/balita BBR berasal dari Kader Pos Gizi yang berjumlah 14 anak. Kegiatan ini berlangsung bersamaan dengan terjadi pandemi, sehingga strategi pelaksanaan menjadi berubah, walaupun demikian protokol Covid 19 dilaksanakan dengan ketat. Penyuluhan disertai dengan pembagian flyer untuk kader Pos Gizi dan para ibu bayi/balita, serta diharapkan dapat membantu relawan/kader Pos Gizi melaksanakan tugas meningkatkan gizi balita. Hasil penyuluhan dan PMT secara statistik tidak ada perbedaan yang signifikan antara rata-rata BB sebelum dan sesudah PMT dengan taraf nyata 5%. Penyebabnya adalah jadwal PMT berubah, yang semula 5 kali dalam seminggu di awal bulan, menjadi 5 kali selama 2 bulan.Abstract: Counseling on Healthy Food Processing conducted at the Tunas Harapan Pamulang East Heart Center is an extension to increase the capacity of Hearth cadres and mothers who have under-fives with undernourished status. This activity provides counseling on how to process healthy food, healthy living behavior, and providing additional food/PMT. This PMT uses local food raw materials with regional specialties adapted to local conditions. Data for BBR infants/toddlers came from the Hearth Cadre, totaling 14 children. This activity took place simultaneously with the pandemic, so the implementation strategy changed, even though the Covid 19 protocol was implemented strictly. The counseling is accompanied by the distribution of flyers for Hearth cadres and mothers of babies/toddlers, and it is hoped that they can help Hearth volunteers/cadres carry out the task of improving toddler nutrition. The results of counseling and PMT statistically there was no significant difference between the average weight before and after PMT with a significance level of 5%. The reason is that the PMT schedule has changed, which was originally 5 times a week at the beginning of the month, to 5 times for 2 months.
Analysis of User Satisfication with Graduates in Statistical Study Program Universitas Terbuka Siti Hadijah Hasanah; Dewi Juliah Ratnaningsih
Jurnal Varian Vol 5 No 1 (2021)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v5i1.1331

Abstract

Revolution 4.0 requires the Universitas Terbuka Statistics study program to change the educational curriculum that aims to produce quality graduate competencies. Therefore, to collect informationand evaluate the competence of graduates, it is necessary to conduct tracer study research on each graduate. This study aims to measure user satisfaction with graduate competencies using Gap analysis, Importance-Performance Analysis (IPA), Customer Satisfaction Index (CSI), and a multi-attribute Fishbein model. Based on the value of Gap and Science, the main priority that must be improved by graduates to meet user expectations is the ability to solve problems, generate ideas, and be able to present the results of these ideas in the form of reports/journals. The value of the level of suitability between user satisfaction and the importance of the ability of graduates is very good at 92.87% and a CSI value of 78.25%, which means that overall user satisfaction with graduates is good, besides thatbased on the results of the multi-attribute Fishbein model, an Ao value of 158.20 which means that graduate users have a positive attitude towards the abilities of UT Statistics program graduates.
PENERAPAN METODE HUNGARIAN DAN APLIKASI QM UNTUK MEMINIMALISASI KOMPLAIN KEBERSIHAN DARI KLIEN Epin Nur Cahya; Nina valentika; Isnurani; Siti Hadijah Hasanah
Jurnal Matematika Sains dan Teknologi Vol. 23 No. 1 (2022)
Publisher : LPPM Universitas Terbuka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33830/jmst.v23i1.1425.2022

Abstract

An outsourcing company with a work contract period can run well if the work agreement made by the client is carried out properly. One of the things that affect the contract period is client complaints. By minimizing client complaints, the sustainability of work contracts between outsourcing companies and client companies is getting higher. For this reason, outsourcing companies assign workers based on the abilities of each worker so that the work results are optimal. One of the methods in solving assignment problems is the Hungarian method and the QM application. The purpose of this research is to minimize the value of hygiene complaints from clients. The results showed a reduction in the value of 15 client complaints from 43 complaints to 28 complaints related to the completion of the assignment of employees of outsourcing company using the Hungarian method and the QM application.
Application of Machine Learning for Heart Disease Classification Using Naive Bayes Siti Hadijah Hasanah
Jurnal Matematika MANTIK Vol. 8 No. 1 (2022): April - June
Publisher : Mathematics Department, Faculty of Science and Technology, UIN Sunan Ampel Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15642/mantik.2022.8.1.68-77

Abstract

The Naive Bayes classifier uses an approximation of a Bayes theorem by combining previous knowledge with new ones. The purpose of this research is to develop machine learning using Naive Bayes classification techniques and as a decision system in producing fast and accurate classification accuracy in diagnosing cardiovascular diseases such as heart disease. Cardiovascular disease is the leading cause of death, 32% of all global deaths, of which 85% are caused by stroke and heart disease. Based on the results of the analysis, it was found that the accuracy of classification accuracy in the training data on patient data was classified as having and not having heart disease, respectively 83,21% and 83,1%. In data testing, the percentage of patient data classified as having and not having heart disease was 83,78% and 87,50%, respectively. Based on the AUC values ​​in the training data and testing data, they are 83,15% and 85,24%, respectively. So, from these results, it can be concluded that the Naive Bayes method is good for classifying heart disease patient data.
Penerapan Analisis Faktor dalam Mengidentifikasi Efektivitas Aplikasi Mybb Forum Diskusi Dian Nurdiana; Siti Hadijah Hasanah
SWABUMI (Suara Wawasan Sukabumi): Ilmu Komputer, Manajemen, dan Sosial Vol 12, No 1 (2024): Volume 12 Nomor 1 Tahun 2024
Publisher : Universitas Bina Sarana Informatika Kota Sukabumi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/swabumi.v12i1.16476

Abstract

Program Studi Sistem Informasi di Universitas Terbuka merupakan program studi dengan sistem pembelajaran terbuka dan jarak jauh, layanan bimbingan akademik dan diskusi dilakukan melalui media. Forum diskusi menggunakan aplikasi Mybb disediakan sebagai media layanan akademik dan diskusi, namun saat ini belum diukur terkait efektivitasnya. Tujuan dari penelitian ini yaitu untuk menerapkan analisis faktor dalam mengidentifikasi efektivitas penggunaan aplikasi forum Mybb di lingkungan Program Studi Sistem Informasi sebagai media layanan bimbingan dan diskusi mahasiswa. Metode penelitian menggunakan kuantitatif deskriptif, dilanjutkan dengan analisis faktor menggunakan  Barlett Test of Sphericity dan Keiser Meyers Oklin (KMO). Data penelitian berasal dari data primer hasil pengisian kuesioner mahasiswa dan berdasarkan hasil analisis faktor didapatkan bahwa terdapat dua faktor yang dapat mengidentifikasi efektivitas penggunaan aplikasi forum Mybb yaitu faktor easy to use dan easy to learn. Faktor easy to use yang terdiri dari indikator fungsionalitas, flexibilitas, aksesibilitas, dan useful. Sedangkan faktor easy to learn yang terdiri dari indikator efisien, fitur, informatif, dan performance.The Information Systems Study Program at the Open University is a study program with an open and distance learning system, academic guidance services and discussions are conducted through the media. Discussion forums using the Mybb application are provided as a medium for academic services and discussion, but currently their effectiveness has not been measured. The purpose of this study is to apply factor analysis in identifying the effectiveness of using the Mybb forum application in the Information Systems Study Program environment as a medium for student guidance and discussion services. The research method uses descriptive quantitative, followed by factor analysis using the Barlett Test of Sphericity and Keiser Meyers Oklin (KMO). The research data comes from primary data from filling out student questionnaires and based on the results of factor analysis it is found that there are two factors that can identify the effectiveness of using the Mybb forum application, namely the easy to use and easy to learn factors. The easy to use factor consists of indicators of functionality, flexibility, accessibility and usefulness. Meanwhile, the easy to learn factor consists of efficient, feature, informative, and performance indicators.
College Students' Perceptions Toward Usability of Simulator Application as a Form of Virtual Experiment at the Distance Learning Nurdiana, Dian; Hasanah, Siti Hadijah; Maulana, Muhamad Riyan
International Journal of Global Operations Research Vol. 5 No. 1 (2024): International Journal of Global Operations Research (IJGOR), February 2024
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v5i1.269

Abstract

The use of simulator applications as one of the learning media is used in face-to-face classes. Its use is rarely used to support distance learning. In fact, the distance learning process must have the same quality as face-to-face learning. The role of technology and media is one of the keys to success in conveying material to students. This study examines the use of simulator applications in distance learning in terms of its reusability. The simulator application used is Cisco Package Tracer on learning computer networks with modules as the main teaching material used by students. The use of this media aims to understand and practice computer network simulations. By involving 60 participants, a case study regarding usability feasibility was measured by using the USE Questionnaire which consisted of 4 usability dimensions: Usefulness, Ease of Use, Ease of Learning, and Satisfaction. The findings show that the use of simulator applications in distance learning gets good or positive responses in the context of usability. This shows that the use of simulator applications is suitable for use in distance learning.
FORECASTING TOTAL ASSETS OF PT. BPD KALTIM KALTARA USING THE SINGLE EXPONENTIAL SMOOTHING METHOD Nurmayanti, Wiwit Pura; Ningsih, Eva Lestari; Arif, Zainul; Fathurahman, M; Hasanah, Siti Hadijah
Parameter: Journal of Statistics Vol. 4 No. 2 (2024)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/27765660.2024.v4.i2.17473

Abstract

PT. BPD Kaltim Kaltara is one of the regional development banks that plays a crucial role in supporting regional economic development in East Kalimantan and North Kalimantan. The company's total assets reflect significant financial stability and growth, making it an interesting topic to analyze in the context of strategic financial planning. The purpose of this study is to use the Single Exponential Smoothing (SES) approach to forecast PT. BPD Kaltim Kaltara's total assets. In the forecasting process, alpha 0,3, alpha 0,6, alpha 0,7, and alpha 0,8 are tested to determine the best value that gives the most accurate results. Based on the forecasting accuracy analysis, the SES method with alpha = 0,7 proved to be the most optimal in predicting the company's total assets, achieving MAE = 1454272,737, MSE = 4764920751283, and MAPE = 4,0433% (excellent forecasting ability). The forecasting results show an upward trend in assets, with total assets in September 2024 estimated to reach IDR 48.440.683,75. This method provides valuable guidance in thecompany's financial strategic planning, helping to anticipate future asset developments more precisely.These forecasting results also emphasize the importance of selecting the right parameters in the forecasting model to improve prediction accuracy.
METODE KLASIFIKASI JARINGAN SYARAF TIRUAN BACKPROPAGATION PADA MAHASISWA STATISTIKA UNIVERSITAS TERBUKA Hasanah, Siti Hadijah; Permatasari, Sri Maulidia
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 14 No 2 (2020): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1137.936 KB) | DOI: 10.30598/barekengvol14iss2pp243-252

Abstract

Backpropagation Artificial Neural Network (ANN) is an ANN that uses a supervised learning algorithm. The purpose of this study is to determine the parameters and measure the accuracy of the classification accuracy of the student status of the Open University Statistics Study Program. Based on the results, the simulation obtained 15 parameters that can affect student status, including gender, age, education (Senior High School, Diploma, Bachelor, and Magister), marital status, employment status (not working, private employees, entrepreneurs, and civil servants), initial registration year, registration number, semester credit system, and GPA). Meanwhile, for the classification accuracy, the activation function and the learning rate are used minimum mean square of error (MST) on training data. The simulation results are also applied to the testing data with a cut-off point value of 0.3481, so the accuracy of the ROC curve is obtained in the training data for not active students is 99.43% and 99.14% active, while the testing data for not active students is 94.00%. and active 93.94%. So from this research, it can be concluded that ANN Backpropagation is a very good method in applying the classification method.
Co-Authors Arif, Zainul Chairunnisa, Madiha Dzakiyyah Dewi Juliah Ratnaningsih Eka Julianti Epin Nur Cahya Isnurani Komuna, Avelyn Pingkan M. Fathurahman Maulana, Muhamad Riyan Nina Valentika Ningsih, Eva Lestari Nurdiana, Dian Nurmayanti, Wiwit Pura Rif'an, Muhammad Sri Enny Triwidiastuti Sri Maulidia Permatasari