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All Journal Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Cendekia Niaga International Journal Software Engineering and Computer Science (IJSECS) ABDINE Jurnal Pengabdian Masyarakat Jurnal Indonesia : Manajemen Informatika dan Komunikasi
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Evaluasi Tata Kelola TI Layanan Sistem Informasi Akademik Tahfizh Menggunakan COBIT 5 Domain EDM Hidayat, Riza; Adrianto, Sopan; Mulyana, Dadang Iskandar
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 1 (2025): JANUARI-MARET 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i1.3013

Abstract

With the rapid advancement of information technology, many organizations are leveraging it to support business processes, including in the education sector. Rumah Qur'an Al-Inayah in South Tangerang uses the Tahfizh Academic Information System to manage student administration. Although effective, there are still challenges, such as a lack of expert human resources, suboptimal system management, and data discrepancies. Evaluating the implementation of information technology using COBIT 5, particularly in the EDM (Evaluate, Direct, and Monitor) domain, is essential. This study employs a mixed-method approach, combining qualitative and quantitative methods. The evaluation results reveal gaps in five EDM subdomains: EDM 01 (0.58), EDM 02 (0.74), EDM 03 (0.9), EDM 04 (0.71), and EDM 05 (0.63). Recommendations include adding dedicated human resources, conducting regular maintenance, and optimizing task and access rights distribution. Implementing these recommendations is expected to improve the performance and IT governance at Rumah Qur'an Al-Inayah.
Klasifikasi Tinggi Badan Manusia Menggunakan Metode Mask R-CNN Mulyana, Dadang Iskandar; Adrianto, Sopan; Sutisna, Sutisna; Rasiban; Wahyudi, Ahmad Arif
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 1 (2025): Januari
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v6i1.1189

Abstract

The rapid development of the era, of course, becomes a benchmark for an agency to carry out transformation in the field of technology. an agency is expected to be able to implement a system that can provide convenience for many people who are struggling in the field, researchers take the example of a football academic institution. of course the selection to enter the football academic through complicated stages, prospective participants or students must be able to meet various requirements, one of which is height measurement. currently, the selection of height for prospective students is still carried out conventionally by utilizing measuring instruments. this is also the background to this research, in its implementation the researcher used python with the Mask-RCNN method, the conclusion obtained the system is able to detect objects with an accuracy of up to 80%.
Analisis SOAR dalam Menentukan Strategi Pelayanan Pasca Diklat Penguatan Kepala Sekolah di BPSDM Provinsi DKI Jakarta Kurniati, Agus; Adrianto, Sopan
Cendekia Niaga Vol. 5 No. 1 (2021): Cendekia Niaga
Publisher : Pusat Pengembangan Kompetensi Aparatur Perdagangan

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Abstract

In organizing School Principal Strengthening Training, BPSDM Province DKI Jakarta is required to produce graduates capable of compiling RPS document in order to improve education quality. The problem faced was the large number of graduates who have difficulties during the preparation of RPS document and they need guidance to arrange RPS document, so that the resulting RPS document can be implemented properly in order to improve education quality. One of the strategic step taken is through post training services. This study is aimed to analyze the post training strategy of Strengthening School Principal Training using SOAR strategy analysis. The research method used is descriptive quantitative. Data collection was carried out through interview, observation and questionnaire. The data obtained were processed and tabulated as a basis for conducting SOAR analysis. The analysis used SOAR analysis by calculating the IFE-EFE matrix. Based on the result of the SOAR analysis, BPSDM Province DKI Jakarta is in the quadrant III/OA strategy quadrant, which is to take advantage of existing opportunities to achieve the expected result through a strategy for making forum/media in order to optimize and maintain the competence of Training graduates, namely the School Principal Managerial Consultation Room.
Prediksi Pemilihan Warna Hijab Berdasarkan Tone Kulit Menggunakan Algoritma K-Nearest Neighbor (KNN) Putri, Atsilah Daini; Adrianto, Sopan; Mulyana, Dadang Iskandar
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 3 (2025): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63447/jimik.v6i3.1580

Abstract

Choosing the right hijab color that matches a person's skin tone is essential for many Muslim women to achieve a harmonious and attractive appearance. However, selecting a suitable color is often subjective and requires specific knowledge of color compatibility. This study aims to develop an automated prediction system that recommends hijab colors based on the user’s skin tone using the K-Nearest Neighbor (KNN) algorithm. KNN was chosen for its simplicity and effectiveness in classifying data based on proximity. The dataset used includes skin tone and corresponding hijab color data, collected through both primary and secondary sources. The classification process involves extracting color features from images and calculating Euclidean distances to determine the best hijab color prediction. The experimental results show that the KNN model provides fairly accurate predictions in recommending hijab colors based on skin tone. This system is expected to assist users in selecting appropriate hijab colors in a more objective and efficient manner.
Classification Optimization of Aedes albopictus and Culex quinquefasciatus Mosquito Larvae Using Vision Transformer Method Al Faruq, Abdullah; Mulyana, Dadang Iskandar; Adrianto, Sopan
International Journal Software Engineering and Computer Science (IJSECS) Vol. 5 No. 3 (2025): DECEMBER 2025
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v5i3.5120

Abstract

Mosquito-transmitted diseases like Dengue Hemorrhagic Fever and Filariasis pose serious health threats throughout tropical regions, particularly in Indonesia. Quick and accurate identification of mosquito larvae plays a crucial role in disease prevention, especially for Aedes albopictus and Culex quinquefasciatus species that act as main disease carriers. Manual identification methods using microscopes or visual guides often struggle with time constraints, accuracy issues, and dependence on trained specialists. Our research focuses on improving the classification of Aedes albopictus and Culex quinquefasciatus mosquito larvae using Vision Transformer (ViT) technology, a deep learning method that has shown strong results in image recognition tasks. We applied the Vision Transformer model to classify mosquito larvae from microscopic field images. The study also tested how different factors impact model performance, such as image clarity, lighting conditions, and image resolution. Our findings show that using Vision Transformer in classification systems produced excellent results, achieving 98.00% accuracy in recall, precision, and F1-score measurements. The research reveals that Vision Transformer methods deliver better accuracy than traditional approaches like Convolutional Neural Networks and can be adapted into working systems for technology and healthcare sectors.
Pelatihan Penggunaan Tools WEKA untuk Kepentingan Proses Data Mining di ITS NU Pekalongan Tundo, Tundo; Betty Yel, Mesra; Sutisna, Nandang; Kastum, Kastum; Adrianto, Sopan
ABDINE: Jurnal Pengabdian Masyarakat Vol. 4 No. 1 (2024): ABDINE : Jurnal Pengabdian Masyarakat
Publisher : Sekolah Tinggi Teknologi Dumai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52072/abdine.v4i1.826

Abstract

Pada pelatihan ini, penggunaan WEKA akan fokus dalam hal data mining, yang artinya pengelolahan data dan menggali data menjadi suatu knowledge dan visualisasi yang memberikan manfaat informasi yang berguna. Banyak cara dalam mengelolah data dan menggali data untuk dijadikan sebuah visual, salah satunya dengan menggunakan aplikasi WEKA, dimana cara ini juga membantu mahasiswa dalam menentukan tema skripsi yang didalamnya mengandung algoritma dan metode data mining. Bentuk cara dalam membantu mahasiswa tersebut, salah satunya yaitu memberikan pelatihan penggunaan aplikasi WEKA untuk membantu mahasiswa dalam mengelolah data dan menggali data menjadi sebuah visual dan knowledge. Pelatihan dilakukan di ITS NU Pekalongan dengan tujuan menambahkan wawasan baru kepada seluruh mahasiswa terkait proses pembuatan visualisasi data dengan WEKA. Kegiatan pelatihan ini masih fokus ke pembuatan visualisasi data berupa rule dari algoritma decision tree J48. Kegiatan dilaksanakan dalam bentuk pendampingan dan praktik dalam penggunaan aplikasi WEKA mulai dari penyampaian materi data mining dan tools WEKA, dilanjutkan praktik cara membuat visualisasi data berupa rule otomatis. Berdasarkan hasil kuesioner menunjukkan bahwa 92% peserta merasa WEKA mudah digunakan untuk proses pengolahan data dan menggali data.
Co-Authors Agus Kurniati, Agus Al Faruq, Abdullah Betty Yel, Mesra Dadang Iskandar Mulyana` Kastum, Kastum Putri, Atsilah Daini Rasiban Riza Hidayat, Riza Sutisna Sutisna Sutisna, Nandang Tundo, Tundo Wahyudi, Ahmad Arif