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Pengembangan Sistem Absensi Mahasiswa berbasis QR-Code di Prodi Teknologi Informasi Marsehan, Ahmad; Ardilla, Santi; Novia Putri, Amelda
Jurnal Manajemen Informatika, Sistem Informasi dan Teknologi Komputer (JUMISTIK) Vol 4 No 1 (2025): Jurnal Manajemen Informatika, Sistem Informasi dan Teknologi Komputer (JUMISTIK)
Publisher : STMIK Amika Soppeng

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70247/jumistik.v4i1.138

Abstract

Absensi mahasiswa merupakan aspek penting dalam sistem pendidikan tinggi. Proses absensi yang dilakukan secara manual seringkali memakan waktu dan rawan kecurangan, seperti titip absen. Teknologi QR-Code telah digunakan untuk mempercepat proses absensi, namun masih memiliki celah keamanan jika digunakan tanpa validasi tambahan. Oleh karena itu, penelitian ini mengembangkan sistem absensi berbasis QR-Code yang dikombinasikan dengan teknologi Time-based One-Time Password (TOTP) untuk meningkatkan keamanan dan validitas data kehadiran. TOTP digunakan sebagai metode autentikasi keduayang hanya dapat diakses oleh pengguna terdaftar melalui aplikasi autentikator. Metode pengembangan sistem menggunakan pendekatan waterfall, dimulai dari analisis kebutuhan hingga tahap pengujian. Hasil pengujian menunjukkan bahwa sistem ini efektif dalam meningkatkan efisiensi dan keamanan proses absensi. Implementasi sistem dilakukan menggunakan PHP, MySQL, dan library TOTP berbasis RFC 6238.
Pendampingan Keterampilan Desain Grafis dan Multimedia bagi Siswa SMP Negeri 04 Kota Lubuklinggau melalui Aplikasi Canva Marsehan, Ahmad; Nopalia, Nopalia
Journal of Social Responsibility Projects by Higher Education Forum Vol 4 No 2 (2023): November 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/jrespro.v4i2.4609

Abstract

This Community Service (PKM) aims to improve the graphic design and multimedia skills of SMP Negeri 04 Lubuklinggau City students through the application of Canva application as a companion tool. The Community Service method used is a step that has been planned with the following steps which include: planning, implementation, observation, and reflection. The results of the community service showed a significant improvement in students' graphic design and multimedia skills after the application of assistance using the Canva application. Students showed improved understanding of graphic design concepts, ability to integrate multimedia elements, and creativity in presenting information. In addition, student participation and interest in learning also increased during the learning process. Assistance using the Canva application proved effective as an innovative method in improving students' skills in graphic design and multimedia. The implications of this community service show that the utilization of technology in learning can have a positive impact on the development of students' skills in the digital era. This community service contributes to the literature of innovative learning and provides recommendations for schools and teachers to integrate technology in the learning process of graphic design and multimedia at the junior high school level.
Hyperparameter Tuning Model Artificial Neural Network untuk Klasfikasi Penyakit Breast Cancer Sidqi, M Nejatullah; Marsehan, Ahmad; Rio, Rio; Felani, Rani Okta
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 7 No. 3 (2024): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v7i3.31469

Abstract

Cancer is a deadly disease that is often experienced unexpectedly. Cancer does not only attack adults and the elderly, even newborn babies can get cancer. Breast cancer is the number one cancer disease in Indonesia and is one of the main causes of death due to cancer. According to Globocan 2020, the number of new cases of breast cancer in Indonesia increased from 396,914 new cancer cases to 68,858 cases (16.6%). There was a trial for early diagnosis of breast cancer carried out on the Breast Cancer dataset, totaling 569 patients with target categories namely Malignant (malignant cancer) and Benign (benign cancer). This diagnosis aims to carry out classification using data mining to extract new information and knowledge. The method applied uses the Artificial Neural Network (ANN) algorithm, using parameters, 1 layer and 250 to 500 epochs. Meanwhile, the activation functions used are ReLU and Sigmoid activation. Then the best classification results were produced by 250 epochs with an accuracy of 98.24%.
Analisis Keberhasilan Sistem Informasi Sentuh Tanahku Badan Pertanahan Nasional Menggunakan Metode ISSM Fadli, Muhamad; Rio, Rio; Marsehan, Ahmad; Oktafelani, Rani
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 7 No. 3 (2024): July
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v7i3.31473

Abstract

The use and usefulness of information technology is an important issue in today's life. This can be seen as a way of using technology to support human activities in various sectors or fields, including government and user security. Of course, the use and usefulness of information technology in various agencies is very necessary to support the implementation of better government programs. The use and utilization of technology in the government environment can be carried out with the help of a research information system. Research is located at two government information agencies: Lubuk-Linggau City National Land Agency; The information system used by the National Land Agency is called Touch My Land based on Android. The implementation of an information system is said to be successful if it can be proven that the information system produces significant positive impacts or benefits for some of its users. The DeLone and McLean evaluation concept is considered a successful information system model. The research method used in this research is a quantitative method with a sample size as many as 61 people from National Land Agency. This research uses six variables and nine hypotheses.  The sixth variable consists of information quality, system quality, service quality, usage intention, user satisfaction and net profit. The research results show that several research hypotheses are accepted because the t-statistic value is greater than 1.96.
Improving students' mathematics HOTS ability through the integration of deep learning and SOLO taxonomy Nugroho, Khathibul Umam Zaid; Marsehan, Ahmad; Yulianti, Lili Tri; Nurtiara, Nurtiara
Jurnal Math Educator Nusantara: Wahana Publikasi Karya Tulis Ilmiah di Bidang Pendidikan Matematika Vol 11 No 2 (2025): Jurnal Math Educator Nusantara
Publisher : Program Studi Pendidikan Matematika, Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/jmen.v11i2.27111

Abstract

Education in the 21st century requires students to have high-level thinking skills (HOTS), but the low HOTS of students' mathematics is still a significant challenge, as reflected in the results of international evaluations. This study aims to investigate the effectiveness of the integration of deep learning and SOLO Taxonomy in optimizing students' mathematics HOTS. Using a quasi-experimental design, the study involved 60 of students in grade VIII who were divided into an experimental group (n = 30) and a control group (n = 30). The experimental group received a learning intervention based on deep learning principles with the guidance of the SOLO Taxonomy, while the control group received conventional learning. Data were collected through a math HOTS pre-test and post-test and analyzed using ANCOVA to control students' initial scores. The results showed a significant increase in students' math HOTS in both groups, but the increase in the experimental group was much higher (p<0.01). The qualitative analysis of the students' responses also shows a clear development at the level of SOLO Taxonomy, from Unistructural/Multistructural to Relational and Extended Abstract. These findings indicate that the integration of deep learning and SOLO Taxonomy creates an effective synergistic effect in facilitating deep thinking. This research contributes to the educational literature by providing a measurable and practical learning model to improve HOTS, as well as providing important implications for teacher practice and curriculum development in the future.
Pendampingan Pemanfaatan Teknologi Interaktif Untuk Menyusun Soal AKM Literasi Kontekstual di SMP PGRI KOTA LUBUKLINGGAU Marsehan, Ahmad; Nugroho, Khathibul Umam Zaid; Lorenza, Yoga; Khalilullah, Nihad
Jurnal Masyarakat Madani Indonesia Vol. 5 No. 1 (2026): Februari
Publisher : Alesha Media Digital

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59025/qycc1438

Abstract

Program pendampingan ini dirancang untuk meningkatkan kompetensi guru SMP PGRI Kota Lubuklinggau dalam menyusun soal AKM Literasi yang kontekstual dengan memanfaatkan teknologi interaktif. Hal ini dilatarbelakangi oleh kendala yang dihadapi guru dalam merancang soal berbasis konteks nyata dan memanfaatkan platform digital. Tujuannya adalah agar guru mampu memahami konsep AKM Literasi kontekstual, terampil menggunakan platform seperti Quizizz atau Google Form, dan akhirnya menciptakan bank soal yang berkualitas. Metode pencapaiannya meliputi tiga tahap, yakni pelatihan teknis, pendampingan praktik langsung dalam merancang soal, serta evaluasi dan pengembangan berkelanjutan melalui uji coba. Rencana kegiatannya terstruktur dalam fase persiapan, pelaksanaan (pelatihan dan praktik), dan evaluasi akhir. Dampak jangka panjang yang diharapkan adalah terwujudnya bank soal AKM yang relevan, peningkatan kualitas asesmen literasi, serta penguatan budaya pemanfaatan teknologi dalam evaluasi, yang pada akhirnya akan meningkatkan kemampuan literasi siswa secara lebih efektif dan bermakna.