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All Journal International Journal of Electrical and Computer Engineering Journal of Information Technology and Computer Science JIPF (Jurnal Ilmu Pendidikan Fisika) Jurnal INSYPRO (Information System and Processing) Journal TEPAT: Teknologi Terapan untuk Pengabdian Masyarakat JURNAL IT: Media Infromasi STMIK Handayani Makassar EPI International Journal of Engineering Jurnal Penelitian Enjiniring Fakultas Teknik Unhas Indonesian Journal of Electrical Engineering and Computer Science PINISI Discretion Review Journal of Information Technology and Its Utilization Jurnal Pengabdian Mandiri J-ENSITEC (Journal of Engineering and Sustainable Technology) Jurnal Sistem Informasi Journal of Information Technology and its Utilization
Muhammad Niswar
Departemen Teknik Informatika, Fakultas Teknik, Universitas Hasanuddin
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Physics Public Health Social Sciences Other

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Effectiveness of Android-Based Educational Application on Increasing Pregnant Women's Knowledge about Basic Infant Immunization during the First 1000 Days of Life Azis, Masyitha; Nurdin, Andi Armyn; Niswar, Muhammad
PINISI Discretion Review Volume 8, Issue 1, September 2024
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/pdr.v8i1.66566

Abstract

The immunization program for infants aims to ensure that every baby receives complete basic immunization, as each vaccine in the basic immunization series provides different benefits for the baby's body. This study aims to evaluate the effectiveness of an Android-based educational application in improving pregnant women's knowledge of basic infant immunizations during the First 1000 Days of Life. The study was conducted at Masyita Maternity Hospital in Makassar, using a quasi-experimental design with a sample of 40 primigravida pregnant women who met the research criteria. Respondents received an intervention in the form of an Android-based educational application, and their usage activity was monitored through a dashboard. Data were analyzed using cross-tabulation and the McNemar test. The results showed that the majority of respondents were aged 20-25 years (55%), from the Makassar ethnic group (60%), and in the second trimester of pregnancy (50%). The Android-based educational application was proven to be effective in improving pregnant women's knowledge of basic infant immunizations, with statistically significant results (p=0.01; p<0.05).
PENINGKATAN CAPAIAN PEMBELAJARAN MATEMATIKA DI SMP 25 MAKASSAR DENGAN GAME ANDROID Mukarramah Yusuf; Ida R Sahali; Firmansyah J Kusuma; Amil A Ilham; Muhammad Niswar; M Alief F Imran; Christoforus Yohannes; Ingrid Nurtanio; Novy NRA Mokobombang; Ais P Alimuddin; Ady W Paundu
JURNAL PENGABDIAN MANDIRI Vol. 4 No. 8: Agustus 2025
Publisher : Bajang Institute

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Abstract

Hasil pembelajaran Matematika pada siswa-siswa sekolah masih rendah disebabkan karena berbagai permasalahan, salah satunya adalah cara pembelajaran yang kurang menarik. Pendekatan yang kami lakukan di SMP 25 Makassar adalah pengenalan game Android untuk belajar Matematika. Hasil belajar melalui kegiatan berrmain game menunjukkan terjadi peningkatan skor pencapaian tujuan belajar..
WEBSITE PHISING DETECTION APPLICATION USING SUPPORT VECTOR MACHINE (SVM) Diki Wahyudi; Muhammad Niswar; A. Ais Prayogi Alimuddin
Journal of Information Technology and Its Utilization Vol 5 No 1 (2022)
Publisher : Sekolah Tinggi Multi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jitu.5.1.4836

Abstract

Phishing is an act to get someone's important information in the form of usernames, passwords, and other sensitive information by providing fake websites that are similar to the original. Phishing (fishing for important information) is a form of criminal act that intends to obtain confidential information from someone, such as usernames, passwords and credit cards, by impersonating a trusted person or business in an official electronic communication, such as electronic mail or instant messages. Along with the development of the use of electronic media, which is followed by the increase in cyber crime, such as this phishing attack. Therefore, to minimize phishing attacks, a system is needed that can detect these attacks. Machine Learning is one method that can be used to create a system that can detect phishing. The data used in this research is 11055 website data, which is divided into two classes, namely "legitimate" and "phishing". This data is then divided using 10-fold cross validation. While the algorithm used is the Support Vector Machine (SVM) algorithm which is compared with the decision tree and k-nearest neighbor algorithms by optimizing the parameters for each algorithm. From the test results in this study, the best system accuracy was 85.71% using SVM kernel polynomial with values of degree 9 and C 2.5.
Co-Authors ', Wardi A. Ais Prayogi Alimuddin A.Ais Prayogi Abdul Rahman Djamaluddin Achmad Bakri Muhiddin Achmad Basuki Adnan - Adnan Adnan Adnan Adnan Ady W Paundu Ady Wahyudi P Ady Wahyudi Paundu Ahmad Ilham, Amil Ais P Alimuddin Amil A Ilham Amil A. Ilham Amil Ahmad Ilham Andani Andani Achmad Andi Armyn Nurdin, Andi Armyn Andrisasmita Rachmat Anugrayani Bustamin Aswad, Iqra Aulia Darnilasari Azis, Masyitha Baharuddin Hamzah Christoforus Yohanes Diki Wahyudi Elly Warni Fachrurrozie Haris, Muhammad Ahlan Firmansyah J Kusuma Furqan Zakiyabarsi Ida R Sahali Idar Mappangara Indrabayu Indrabayu Ingrid Nurtanio Intan Sari Areni Iqra Aswad Iqra Aswad M Alief F Imran Marindah Wardhani, Tyanita Puti Muh. Alief Fahdal Imran Oemar Muhammad Awaluddin, Muhammad Muhammad Irsan Sabir Muhammad Nur Muhammad Nur Mukarramah Yusuf Novy NRA Mokobombang Nurhasanah Nurhasanah Paundu, Ady Wahyudi rezkiawan , runal Rieka Zalzabillah Putri Suparno, I Wayan Syahbudin Syahbudin Wahyudi Sofyan Wardi Wardi Yohannes, Christoforus Yushinta Fujaya Zaenab - Zaenab Muslimin Zagita Marna Putra Zahir Zainuddin Zahir Zainuddin Zahir Zainuddin Zulkifli Tahir