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All Journal Proceedings of The International Conference on Business and Economics Abdimas Mandalika Jurnal Sistem Informasi dan Teknologi Informasi
Zulfikar Yusya Mubarak
Universitas Al-Irsyad Cilacap
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Environmental Science

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The Influence of SEA and E-WoM on The Decision To Study In The Digital Business Study Program, AL-Irsyad University Cilacap Fajar Nur Wibowo; Zulfikar Yusya Mubarak; Nuni Wulansari; Annisa Rahayu P; Dani Setyawan
Proceeding of The International Conference on Business and Economics Vol. 1 No. 1 (2023): Proceeding of The International Conference on Business and Economics
Publisher : Universitas 17 Agustus 1945 Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (190.258 KB) | DOI: 10.56444/icbeuntagsmg.v1i1.318

Abstract

This study aims to analyze the influence of SEA and E-WoM on college decisions for Digital Business Study Program, Universitas Al Irsyad Cilacap, The object of this research is the Digital Business Study Program at Al-Irsyad Cilacap University, while the subjects are students of the Digital Business Study Program at Al-Irsyad University Cilacap. sampling with purposive sampling technique. The number of samples in this study were 31 respondents. Data was obtained through questionnaires which were distributed directly to digital business students at Al-Irsyad University, Cilacap. The data analysis technique uses SPSS version 22. Based on the results of the analysis carried out, it shows that SEA has a positive effect on digital business study study decisions, E-WoM has a positive effect on digital business study study decisions.
Inovasi Elektronic Stunting Prevention Mobile Education (E-Supreme) untuk Remaja Tahun 2022 Dwi Maryanti; Trimeilia Suprihatiningsih; Zulfikar Yusya Mubarak
Abdimas Mandalika Vol 3, No 1 (2023): Agustus
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/am.v3i1.16861

Abstract

Abstract:  The stunting prevalence rate in 2021 will be 24.4%. The distribution of stunting events in 2021 and the results of the Indonesian Nutrition Status Study (SSGI) for the January–December 2021 period show that three provinces with a stunting incidence rate of 30–39% are NTT, NTB, and West Sulawesi. Central Java has a stunting distribution of 20–29%. The main problem causing the high rate of stunting in Indonesia is a combination of low awareness of stunting andThe aim is to increase youth's knowledge about stunting. Method: using the Electronic Stunting Prevention Mobile Education Application Innovation (E-Supreme) application. Results: It is known that the average pre-test score is 66, and the average post-test result is 80. The E-Supreme application can be used as an innovative medium to increase stunting knowledge. E-Supreme's innovative media can be downloaded for easy use on Android-based gadgets.Abstrak: Angka prevalensi stunting pada tahun 2021 sebesar 24,4%. Sebaran kejadian stunting tahun 2021, hasil Studi Status Gizi Indonesia (SSGI) periode Januari-Desember 2021 diketahui 3 Propinsi dengan besaran kejadian stunting 30-39% adalah NTT, NTB dan Sulawesi Barat. Jawa Tengah memiliki sebaran stunting sebesar 20-29%. Permasalahan utama yang menyebabkan masih tingginya stunting di Indonesia adalah kombinasi antara rendahnya kesadaran stunting. Tujuan meningkatkan pengetahuan remaja tentang stunting. Metode : menggunakan aplikasi Electronic Stunting Prevention Mobile Education Application Innovation (E-Supreme). Hasil pengabdian bahwa skor rata-rata pre tes adalah 66 dan hasil rata-rata post test didapatkan 80. Aplikasi  E-Supreme  dapat  digunakan  sebagai  media  inovatif  untuk  meningkatkan pengetahuan stunting. Media inovatif E-Supreme dapat diunduh untuk dengan mudah digunakan pada gadget berbasis android 13.
Perbandingan Metode Naive Bayes Classifier Dan Decision Tree C4.5 Dalam Mencari Pola Minat Pemilihan Jurusan Di Madrasah Aliyah (Studi Kasus:MA El-Bayan Majenang) Dede Yusuf; Zulfikar Yusya Mubarak; Annisa Rahayu Pangesti; Nuni Wulansari; Rizki Zulqornain
Jurnal Sistem Informasi dan Teknologi Informasi Vol 2 No 1 (2023): Jurnal Sistem Informasi dan Teknologi Informasi
Publisher : Himpunan Penggiat Teknologi Informasi Abrar Indonesia

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Abstract

Selection of student majors is one of the decision-making rules in determining majors based on interests and talents, this aims to understand one's potential and existing opportunities. In determining student majors in the 2013 curriculum, it is carried out at the beginning of the first semester, namely in class 10 (X) of senior high school. The implementation of the 2013 curriculum aims to support the adaptation of educational programs by capturing the characteristics and potential of students. [1]. The implementation of the 2013 curriculum had an impact on one of the schools, especially the counseling teacher, who did not know the talents, interests, character and financial capabilities of the students' families to choose certain subjects, so the counseling teacher had to really be able to recommend majors that matched the interests and talents of students. Based on these problems, the application of data mining using the Naïve Bayes algorithm and the Decesion Tree C4.5 algorithm is carried out for classifying student majors at MA El-Bayan Majenang. The Naïve Bayes algorithm [2] and the Decesion Tree algorithm C4.5 [2] are algorithms with a decision tree classification pattern that are used because they have several advantages compared to other algorithms. In this study, the authors compared the two methods, starting with data collection, then cleaning the data and continuing to process data testing and training data. After all the data has been processed, it will proceed to the classification process for each algorithm.
Co-Authors Annisa Rahayu P Annisa Rahayu Pangesti Dani Setyawan Dede Yusuf Dwi Maryanti Fajar Nur Wibowo Nuni Wulansari Rizki Zulqornain Trimeilia Suprihatiningsih