S Susanto
Institut Pertanian Bogor, Kampus IPB Dramaga, Jln. Meranti, Bogor, Jawa Barat, Indonesia 16680

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IDENTIFIKASI FAKTOR PENYEBAB RENDAHNYA PENGUASAAN MATERI DALAM UJIAN NASIONAL MATEMATIKA SMA/MA PROGRAM IPA TAHUN AJARAN 2009/2010 DI KABUPATEN SITUBONDO Kholilah, Dilla; Sunardi, S; Susanto, S
Kadikma Vol 3 No 3 (2012): Desember 2012
Publisher : Department of Mathematics Education , University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/kdma.v3i3.1011

Abstract

Abstract. Secondary data from the Center for Educational Assessment Departement of Education Shows the percentage of mastery of the material at the school level in High School/Madrasah Aliyah in Situbondo calculate the volume of material objects play in the area between the two curves when playing surround the  axis show the percentage of mastery of less then 60%. Based on the analysis of the data obtained it can be concluded that the lack of masteri is caused by several factor that is the method of teaching, teacher relations with studens, learning media, the state of the building, the method of learning student and teachers circumtances Key Words: identification, factors, low material
PENGEMBANGAN MEDIA PEMBELAJARAN INTERAKTIF ONLINE MENGGUNAKAN SCHOOLOGY BERBANTUAN WEB DESMOS MATERI GRAFIK FUNGSI KUADRAT Nisyak, Robiatun; Trapsilasiwi, Dinawati; Fatahillah, Arif; Susanto, S; Murtikusuma, Randi Pratama
Kadikma Vol 9 No 2 (2018): Agustus 2018
Publisher : Department of Mathematics Education , University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/kdma.v9i2.10244

Abstract

Abstract. This research aims to develop an online interactive learning media use assisted Schoology Desmos web for quadratic function graph. This is the kind of research the research development. The process of developing this learning media by using a customized Thiagarajan model or 4-D model. This development model consists of four stages, namely define, design, develop and disseminate. Trial subject of this research is students of class XI IPA 3 at SMAN Jenggawah with a total of 33 students. The results of the learning media validation in the valid criteria with a correlation coefficient of 0.94 including the "Very High" category. The practical level is seen from user response questionnaire obtained 83,5% including the “Very Good” category. While the effectiveness level is based on the learning test result obtained 81,82% of 33 students scored above the KKM. Based on the results of the data analysis, the results can be obtained that the online interactive learning media use assisted Schoology Desmos web for quadratic function graph has met valid, practical, and effective criteria. Keywords: Development, Media, Schoology, Web Desmos, Quadratic Function Graph.
Kajian Literatur tentang Model Investigasi Forensik dalam Mendeteksi Penipuan Transaksi pada Sistem E-Commerce Adi, Mikael Arvito Kurnia; Susanto, S
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 11, No 1 (2026): Edisi Februari
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v11i1.939

Abstract

This study aims to systematically review various digital forensic investigation models used to detect transaction fraud in e-commerce systems, based on relevant scientific literature. This study was conducted to analyze the approaches, stages, and techniques applied in each forensic investigation model, while also revealing their advantages and limitations in handling transaction fraud cases. Furthermore, this study aims to compare the effectiveness of these models in supporting the process of fraud detection, analysis, and proof in e-commerce environments. This study uses a systematic literature review methodology to collect, analyze, and integrate various studies related to forensic investigation models for identifying transaction fraud in e-commerce systems. We used keywords such as "digital forensic investigation models," "e-commerce fraud detection," "cyber forensics," and "transaction fraud" to search for articles in scientific databases including Google Scholar, IEEE Xplore, Scopus, ScienceDirect, and SpringerLink. The results demonstrate various ways to build a safer and more reliable e-commerce ecosystem for all stakeholders, requiring the integration of these three elements: early prevention in the transaction flow, ML-based detection for risk tagging, and digital forensics for evidence.