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Penerapan Python Dalam Data Mining Untuk Prediksi Kangker Paru Baiq Andriska Candra Permana; Muhammad Djamaluddin
Infotek: Jurnal Informatika dan Teknologi Vol. 6 No. 2 (2023): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v6i2.17816

Lung cancer is one of the groups of cancer that causes the most deaths, including in Indonesia. Many people with lung cancer do not realize that they are infected with lung cancer, which causes delays in treating this disease. For this reason, it is necessary to have a method that has a good level of accuracy in making a prediction so that later with a good level of accuracy it can be a reference for the development of an Artificial Intelligence (AI) in the world of health to detect lung cancer early. The proposed study uses the c4.5 algorithm to predict the likelihood of patients with lung cancer by providing the final result in the form of the prediction accuracy of the proposed algorithm. To carry out data mining implementation using the Python programming language by utilizing the library that has been provided to make it easier to implement machine learning. In this study the use of c4.5 was able to predict with an accuracy rate of 86%. This level of accuracy can be said to be worthy of being used as a reference to be able to predict lung cancer patients based on the symptoms that appear in the patient

Pengembangan Media Pembelajaran Bangun Ruang Berbasis Augmented Reality Baiq Desi Dwi Arianti; Muhammad Djamaluddin; Hani Sabila
Infotek: Jurnal Informatika dan Teknologi Vol. 6 No. 2 (2023): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v6i2.18812

The implementation of the Merdeka Curriculum (MC) is a program launched by the Indonesian government to enhance the quality of education at all levels. Despite the MC providing flexibility and facilitation for deep learning focused on character development, the utilization of Augmented Reality (AR) in education remains limited in Indonesian schools. Therefore, this research aims to address the research gap and offer research novelty by developing an innovative AR-based spatial geometry instructional media. This study adopts the ADDIE (Analysis, Design, Development, Implementation, Evaluation) methodological approach and involves four experts, including two media experts and two subject matter experts, for the feasibility assessment. Additionally, 25 fifth-grade students from SDN 2 Sandubaya serve as respondents in this research. The findings reveal that the developed instructional media has received high feasibility ratings from media experts (87%) and subject matter experts (84%). Moreover, users' responses towards the application yielded a positive rating of 99%. Thus, this research makes a significant contribution to the field of AR-based instructional media development by addressing the research gap concerning the utilization of AR in spatial geometry education within Indonesian schools. Furthermore, this study offers novelty by introducing an innovative approach to instructional media development, garnering positive user outcomes. The developed instructional media can serve as an effective and engaging resource for spatial geometry education for fifth-grade students

Eksplorasi Pemetaan Pelanggan dan Prioritas Pengembangan Jaringan Internet : Pendekatan Sistem Informasi Geografis Berbasis Web dan AHP Suhartini, Suhartini; Ahmadi, Hamzan; Mandala Putra, Hadian; Haeruzzikri, Haeruzzikri; Muhammad Djamaluddin
Infotek: Jurnal Informatika dan Teknologi Vol. 7 No. 2 (2024): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v7i2.26062

ArsyaNet, a local internet service provider, strives to deliver fast and reliable internet access to its customers. This study aims to implement a web-based Geographic Information System (GIS) for customer mapping and network development prioritization using the Analytic Hierarchy Process (AHP) method at ArsyaNet. Leaflet is employed to map the distribution of ArsyaNet customers within the RT/RW network in the Pringgasela District. The main objective of this research is to accurately and efficiently map the distribution of internet customers to support optimal network development. By integrating AHP into the GIS, customer preferences and other relevant factors such as access speed, service quality, and infrastructure needs in specific areas will be considered in determining the priority locations for network development. The AHP method allows for the grouping of customers based on their preferences and determining locations by considering weights on each relevant aspect. Integrating Leaflet into the GIS enables accurate and interactive mapping results using a lighter map compared to the Google Maps API. This research is conducted to enhance the quality of internet services provided by ArsyaNet by better understanding the needs and preferences of customers in selecting internet service providers and their customer distribution.

Strategi Komunikasi Publik Badan Penyelenggara Jaminan Produk Halal dalam Sosialisasi Sertifikasi Halal di Media Sosial Djamaluddin, Muhammad; Darajat, Deden Mauli; Rahmi, Cinta
Dakwah: Jurnal Kajian Dakwah dan Kemasyarakatan Vol 28, No 1 (2024): Dakwah: Jurnal Dakwah dan Kemasyarakatan
Publisher : Faculty of Dakwah and Communication, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/dakwah.v28i1.42860

This paper describes how the public communication strategy carried out by the Halal Product Guarantee Agency (BPJPH) in socializing halal certification on Instagram social media. BPJPH on social media conducts socialization in various ways. The communication strategy carried out is first, strengthening in terms of content or content of messages distributed by BPJPH in the socialization of halal certification. Second, activities carried out by BPJPH in terms of socializing halal certification are loaded with various stories on social media. Third, BPJPH also invites various institutions, both universities and non-governmental organizations (NGOs) to become agents in the socialization of halal certification and uploaded on BPJPH social media. Halal certification socialized by BPJPH is a program related to certified halal products needed by the Muslim community in particular and the Indonesian people in general.

Pengembangan Model Convolutional Neural Network (CNN) untuk Klasifikasi Penyakit Kulit Berbasis Citra Digital Imam Fathurrahman; Mahpuz; Muhammad Djamaluddin; Lalu Kerta Wijaya; Ida Wahidah
Infotek: Jurnal Informatika dan Teknologi Vol. 8 No. 1 (2025): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v8i1.28655

This study aims to develop a skin disease classification model based on Convolutional Neural Networks (CNN) specifically designed to classify three types of skin diseases: acne, ringworm, and tinea versicolor. Unlike some previous studies that utilized datasets from various domains such as textile images, plants, and blood cell images, this research specifically employs a dataset relevant to skin diseases. The dataset used in this study consists of 810 skin disease images, divided into 600 images for training (200 images each for acne, tinea versicolor, and ringworm) and 210 images for testing. To enhance data variation and support model generalization, the dataset was processed using augmentation techniques. The model's performance evaluation showed promising results, with an average accuracy of 87.14%. Additionally, the model achieved precision, recall, and F1-score values of 87% each, demonstrating its ability to detect and classify skin diseases consistently. This study is expected to serve as a foundation for developing more accurate and efficient technology-based diagnostic tools, particularly for skin diseases, in the future

Pelestarian Karya TGKH. Muhammad Zainuddin Abdul Madjid Melalui Digitalisasi Teks Dan Pengembangan Aplikasi Berbasis Mobile Djamaluddin, Muhammad; Wathoni, M.Nurul; Bahtiar, Hariman
Jurnal Pendidikan, Sains, Geologi, dan Geofisika (GeoScienceEd Journal) Vol. 6 No. 1 (2025): Februari
Publisher : Mataram University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/goescienceed.v6i1.819

Karya-karya Maulana Syaikh TGKH. Muhammad Zainuddin Abdul Madjid, dalam bentuk teks amalan dalam bentuk doa dalam kehidupan masyarakat. TGKH. Muhammad Zainuddin Abdul Madjid mempunyai banyak santri dan santriwati yang tersebar di baik dalam maupun luar negeri. Tujuan dari pengembangan aplikasi hizib ini sebagai salah satu Upaya dalam memfasilitasi Masyarakat terkait doa Hizib baik Hizib Nahdlatul Wathan dan Nahdlatul Banat. Metode pengembaggan yang digunakan adalah metodologi System Development Life Cycle (SDLC). SDLC adalah metodologi klasik yang digunakan untuk mengembangkan, memelihara dan menggunakan sistem informasi dengan menerapkan system ionic framework dengan Bahasa pemerograman HTML, CSS, Javascript. Berdasarkan hasil pengembangan didapatkan aplikasi Hizib android diatas maka dapat disimpulkan bahwa pembangunan aplikasi Hizib berbasis Android ini sudah sesuai dengan fungsional dan dikembangkan dalam bentuk android untuk smartphone

Pendampingan Pembuatan Tempat Sampah Otomatis Untuk Mendukung Kebersihan Kantor Desa Gelanggang Fathurrahman, Imam; Djamaluddin, Muhammad; Hamzan Ahmadi; Siti Quthrotunnada; M.Yazid; Muh. Fathin Kautsar; Ira Ayu Sekar Dadu
Jurnal Teknologi Informasi untuk Masyarakat Vol. 3 No. 1 (2025): Jurnal Teknologi Informasi untuk Masyarakat (Teknokrat)
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jt.v3i1.28244

Environmental cleanliness is a key factor in creating a comfortable and productive work atmosphere. This article discusses the implementation of an Arduino-based automatic trash bin at the Gelanggang Village Office as an innovative solution to support more efficient waste management. The system was designed using an ultrasonic sensor to detect objects and a servo motor to open and close the lid automatically, minimizing direct user contact. Test results show a detection accuracy of up to 95% with a fast response rate, while field observations recorded a 30% increase in proper trash disposal behavior compared to previous conditions. This implementation not only improved cleanliness awareness in the office environment but also has the potential to be applied in other public spaces such as schools and community facilities. Further development is recommended through integration of features such as a full-bin indicator and IoT-based real-time monitoringEnvironmental cleanliness is a key factor in creating a comfortable and productive work atmosphere. This article discusses the implementation of an Arduino-based automatic trash bin at the Gelanggang Village Office as an innovative solution to support more efficient waste management. The system was designed using an ultrasonic sensor to detect objects and a servo motor to open and close the lid automatically, minimizing direct user contact. Test results show a detection accuracy of up to 95% with a fast response rate, while field observations recorded a 30% increase in proper trash disposal behavior compared to previous conditions. This implementation not only improved cleanliness awareness in the office environment but also has the potential to be applied in other public spaces such as schools and community facilities. Further development is recommended through integration of features such as a full-bin indicator and IoT-based real-time monitoring

Pelestarian Karya TGKH. Muhammad Zainuddin Abdul Madjid Melalui Digitalisasi Teks Dan Pengembangan Aplikasi Berbasis Mobile Djamaluddin, Muhammad; Wathoni, M.Nurul; Bahtiar, Hariman
Jurnal Pendidikan, Sains, Geologi, dan Geofisika (GeoScienceEd Journal) Vol. 6 No. 1 (2025): Februari
Publisher : Mataram University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/goescienceed.v6i1.819

Karya-karya Maulana Syaikh TGKH. Muhammad Zainuddin Abdul Madjid, dalam bentuk teks amalan dalam bentuk doa dalam kehidupan masyarakat. TGKH. Muhammad Zainuddin Abdul Madjid mempunyai banyak santri dan santriwati yang tersebar di baik dalam maupun luar negeri. Tujuan dari pengembangan aplikasi hizib ini sebagai salah satu Upaya dalam memfasilitasi Masyarakat terkait doa Hizib baik Hizib Nahdlatul Wathan dan Nahdlatul Banat. Metode pengembaggan yang digunakan adalah metodologi System Development Life Cycle (SDLC). SDLC adalah metodologi klasik yang digunakan untuk mengembangkan, memelihara dan menggunakan sistem informasi dengan menerapkan system ionic framework dengan Bahasa pemerograman HTML, CSS, Javascript. Berdasarkan hasil pengembangan didapatkan aplikasi Hizib android diatas maka dapat disimpulkan bahwa pembangunan aplikasi Hizib berbasis Android ini sudah sesuai dengan fungsional dan dikembangkan dalam bentuk android untuk smartphone

Strategi Komunikasi Publik Badan Penyelenggara Jaminan Produk Halal dalam Sosialisasi Sertifikasi Halal di Media Sosial Djamaluddin, Muhammad; Darajat, Deden Mauli; Rahmi, Cinta
Dakwah: Jurnal Kajian Dakwah dan Kemasyarakatan Vol 28, No 1 (2024): Dakwah: Jurnal Dakwah dan Kemasyarakatan
Publisher : Faculty of Dakwah and Communication, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/dakwah.v28i1.42860

This paper describes how the public communication strategy carried out by the Halal Product Guarantee Agency (BPJPH) in socializing halal certification on Instagram social media. BPJPH on social media conducts socialization in various ways. The communication strategy carried out is first, strengthening in terms of content or content of messages distributed by BPJPH in the socialization of halal certification. Second, activities carried out by BPJPH in terms of socializing halal certification are loaded with various stories on social media. Third, BPJPH also invites various institutions, both universities and non-governmental organizations (NGOs) to become agents in the socialization of halal certification and uploaded on BPJPH social media. Halal certification socialized by BPJPH is a program related to certified halal products needed by the Muslim community in particular and the Indonesian people in general.

Klasifikasi Motif Batik Nusantara Menggunakan Vision Transformer (ViT) Berbasis Deep Learning Fathurrahman, Imam; Djamaluddin, Muhammad; Amri, Zaenul; Wathani, M. Nurul
Infotek: Jurnal Informatika dan Teknologi Vol. 8 No. 2 (2025): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v8i2.31108

Batik is a cultural heritage of Indonesia that reflects local philosophies and identities through its diverse motifs. In the digital era, automatic classification of batik patterns plays a crucial role in cultural preservation, education, and commercialization. This study aims to develop a batik motif classification system using Vision Transformer (ViT), a deep learning architecture based on self-attention capable of capturing global spatial relationships in images. The dataset comprises 800 images spanning 20 batik motif classes from various regions, divided into training and testing subsets. The ViT model was fine-tuned using pretrained weights from ImageNet-21k, with standard preprocessing and data augmentation applied to the training set. Model performance was evaluated using accuracy, precision, recall, F1-score, confusion matrix, and prediction visualization. Results indicate that ViT achieved an overall accuracy of 96%, with most classes recording F1-scores above 0.90. Evaluation on unseen batik images demonstrated excellent generalization capability, achieving 99.94% confidence in prediction. These findings suggest that ViT is an effective and efficient architecture for batik motif classification and offers valuable contributions to cultural preservation through artificial intelligence.

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