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All Journal Jurnal Informatika dan Teknik Elektro Terapan Sistemasi: Jurnal Sistem Informasi Jurnal Nasional Komputasi dan Teknologi Informasi Progresif: Jurnal Ilmiah Komputer Journal of Innovation and Future Technology (IFTECH) Jurnal Inovasi Penelitian dan Pengabdian Masyarakat Urecol Journal. Part E: Engineering Jurnal Abdimas Indonesia Jurnal Bisnis Digital dan Sistem Informasi Jurnal Ilmu Komputer dan Matematika
Taftazani Ghazi Pratama
Universitas Muhammadiyah Kudus
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Application of the C4.5 Algorithm for Early Cervical Cancer Classification Taftazani Ghazi Pratama; Achmad Ridwan; Agung Prihandono
Urecol Journal. Part E: Engineering Vol. 1 No. 1 (2021): January - June
Publisher : Konsorsium LPPM Perguruan Tinggi Muhammadiyah 'Aisyiyah (PTMA) Koordinator Wilayah Jawa Tengah - DIY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (184.127 KB) | DOI: 10.53017/uje.4

Abstract

Cervical cancer is one of the cancers that is of global concern because of the high mortality rate in women. Preventive measures such as early detection are needed so that patients can get treatment more quickly. Fortunately, this disease can be prevented with the role of technology to help doctors in early detection of various types of cancer. The technology developed by the researchers is using machine learning algorithms. Therefore, in this study using the C4.5 algorithm to classify cervical cancer. This algorithm aims to classify 2 classes: people who have cervical cancer, people who are healthy. The results of the experiment obtained from the C4.5 algorithm are getting an accuracy of 98.61%, precision of 98.08%, and recall of 95.24% ROC curve shows 0.982%.
RANCANG BANGUN APLIKASI PENGINGAT MAKAN DAN MINUM BERBASIS ANDROID Taftazani Ghazi Pratama; Hermawan Abdillah Hamka; Fida Maisa Hana
Journal of Innovation And Future Technology (IFTECH) Vol 6 No 1 (2024): Vol 6 No 1 (February 2024): Journal of Innovation and Future Technology (IFTECH)
Publisher : LPPM Unbaja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/iftech.v6i1.3162

Abstract

Eating and drinking are basic daily human needs which are used in various activities from waking up to going back to sleep. A person's activities can be carried out well if he regulates regular eating and drinking patterns. On the other hand, someone who does not have a regular eating and drinking pattern will cause the emergence of various diseases, one of which is gastritis. Therefore, we need a solution to improve eating and drinking patterns so that the body remains healthy and avoids various diseases. The methodology used to design this application is the ADDIE method. This research aims to design an Android-based eating and drinking reminder application. The application that has been built can make it easier for someone to manage their daily eating and drinking patterns and remind them of their daily eating and drinking consumption schedule by sending notifications to the user's smartphone.
RANCANG BANGUN SISTEM REKOMENDASI BUKU BERBASIS ITEM-BASED COLLABORATIVE FILTERING MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBORS Saputra, Vernanda Sam; Ridwan, Achmad; Pratama, Taftazani Ghazi
Jurnal Informatika dan Teknik Elektro Terapan Vol 13, No 1 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i1.5995

Abstract

Penelitian ini bertujuan untuk merancang dan mengembangkan sistem rekomendasi buku dengan metode item-based collaborative filtering menggunakan algoritma K-Nearest Neighbors. Algoritma K-Nearest Neighbors dipilih karena K-Nearest Neighbors memiliki kemampuan dalam mengukur kesamaan antar item berdasarkan perhitungan jarak, sehingga menghasilkan rekomendasi yang relevan bagi pengguna. Menggunakan metode yang melibatkan pengolahan data rating pengguna terhadap buku, diikuti dengan pembentukan model menggunakan pendekatan item-based untuk menemukan buku-buku yang serupa. Pengujian model dilakukan menggunakan teknik cross-validation dengan evaluasi metrik Root Mean Square Error dan Mean Absolute Error untuk mengukur akurasi rekomendasi. Dari penelitian ini, hasil pengujian menunjukkan bahwa model yang diusulkan memiliki tingkat akurasi yang baik, dengan nilai rata-rata RMSE sebesar 0.8191 dan MAE sebesar 0.6235. Sistem ini diharapkan dapat meningkatkan pengalaman pengguna dalam menemukan buku-buku yang sesuai dengan preferensi pengguna, serta memberikan kontribusi signifikan dalam pengembangan sistem rekomendasi berbasis machine learning.
Analisis Perbandingan Kinerja Algoritma Naïve Bayes Dan KNN Untuk Memprediksi Penyakit Diabetes Haq, Osama Maulana; Ridwan, Achmad; Pratama, Taftazani Ghazi
Progresif: Jurnal Ilmiah Komputer Vol 21, No 1: Februari 2025
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v21i1.2424

Abstract

Diabetes is a chronic disease affecting various age groups with a risk of fatal complications. Accurate diagnosis is a crucial initial step in management; however, the gradual progression of symptoms often leads to delayed detection. This study compares the accuracy of the Naïve Bayes and K-Nearest Neighbors (KNN) algorithms in predicting diabetes using a dataset from Kaggle. Naïve Bayes was chosen for its ability to handle large datasets, missing values, irrelevant attributes, and noise, while KNN offers simplicity in implementation. The results show that KNN achieves a higher accuracy of 79% compared to Naïve Bayes at 76%. Therefore, KNN is recommended for diabetes prediction based on this dataset.Keywords: Diabetes; Naïve Bayes, K-Nearest Neighbors; Accuracy AbstrakDiabetes merupakan penyakit kronis yang menyerang berbagai usia dengan risiko komplikasi fatal. Diagnosis yang akurat menjadi langkah awal penting untuk pengelolaan, namun gejala yang berkembang perlahan sering menyebabkan keterlambatan deteksi. Penelitian ini membandingkan akurasi algoritma Naïve Bayes dan K-Nearest Neighbors (KNN) dalam memprediksi diabetes menggunakan dataset dari Kaggle. Naïve Bayes dipilih karena kemampuannya menangani dataset besar, data hilang, atribut tidak relevan, dan noise, sedangkan KNN menawarkan kesederhanaan implementasi. Hasil pengujian menunjukkan bahwa KNN memiliki akurasi lebih tinggi sebesar 79% dibandingkan Naïve Bayes yang mencapai 76%. Dengan demikian, KNN lebih direkomendasikan untuk prediksi diabetes berdasarkan dataset ini.Kata Kunci: Diabetes; Naïve Bayes; K-Nearest Neighbors; Akurasi
Peduli Demensia Komunitas Terpadu (PEDEKATE) sebagai Upaya Deteksi Dini dan Pencegahan Demensia Berbasis Aplikasi Telepon Pintar Jauhar, Muhamad; Suwandi, Edi Wibowo; Pratama, Taftazani Ghazi; Rahmawati, Ashri Maulida
Jurnal Inovasi Penelitian dan Pengabdian Masyarakat Vol. 4 No. 2 (2024): Desember
Publisher : Indonesia Emerging Literacy Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53621/jippmas.v4i2.394

Abstract

Insiden demensia meningkat secara signifikan dengan bertambahnya usia. Satu kasus baru terjadi setiap tiga detik. Saat ini penanganan demensia hanya berfokus pada tenaga kesehatan tanpa adanya optimalisasi dalam pemberdayaan masyarakat. Organisasi Aisyiyah merupakan salah satu organisasi otonomi khusus perempuan Muhammadiyah yang berperan aktif dan peduli dengan kesejahteraan sosial dan kesehatan masyarakat. Tujuan kegiatan ini yaitu memberikan pemahaman dan kepercayaan diri kader peduli demensia dalam melakukan promosi dan deteksi dini demensia pada anggota Aisyiyah di Kabupaten Kudus. Kegiatan ini berbentuk pelatihan dan pembentukan kader peduli demensia serta prodi dan deteksi dini demensia pada anggota Aisyiyah. Kegiatan ini dilakukan pada bulan Agustus-Oktober 2024 di Seluruh PCA Kabupaten Kudus. Rangkaian Kegiatan mulai dari pelatihan dan pelantikan kader yang dilakukan selama 2 hari, kemudian promosi dan deteksi dini demensia dengan kunjungan pada 12 PCA di Kabupaten Kudus. Media yang digunakan materi power point, video edukasi dan aplikasi PEDEKATE. Variabel yang dinilai yaitu pengetahuan dan kepercayaan diri kader peduli demensia. Instrumen penelitian menggunakan Alzheimer’s Disease Knowledge Scale dan Self-Confidence about Dementia Care Skills. Analisis data menggunakan deskriptif kuantitatif. Hasil kegiatan pengabdian masyarakat menunjukkan bahwa pengetahuan kader pada kategori baik dan kurang baik sejumlah 13 kader yaitu sebanyak 50%. Pada aspek kepercayaan diri mayoritas kader percaya diri sejumlah 15 kader (57,7%). Hal ini menjadi peluang untuk dapat melakukan upaya pencegahan demensia berbasis masyarakat dengan pemanfaatan aplikasi telepon pintar. Model intervensi ini dapat diintegrasikan dalam kegiatan Majelis Kesehatan Organisasi Aisyiyah Kabupaten Kudus, khususnya dalam upaya promosi kesehatan lansia.
Perancangan Antar Muka Aplikasi Penjemputan Siswa SD Mengunakan Metode Design Thinking Syahrul Azmi Nawaf; Fida Maisa Hana; Taftazani Ghazi Pratama
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 8, No 5 (2025): Oktober 2025
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v8i5.9687

Abstract

Abstrak - Penelitian ini bertujuan mengembangkan rancangan antar muka aplikasi penjemputan siswa Sekolah Dasar yang mampu memberikan pengalaman penggunaan yang aman, efisien, dan mudah diakses, terutama bagi orang tua yang tidak dapat mengantar anaknya ke sekolah. Proses perancangan menggunakan metode Design Thinking dengan lima tahap utama: Empathize, Define, Ideate, Prototype, dan Test. Tahap Empathize dilakukan melalui survei dan wawancara untuk menggali kebutuhan pengguna, diikuti Define untuk merumuskan masalah dan tujuan desain. Ide-ide solusi dikembangkan pada tahap Ideate, lalu divisualisasikan menjadi high fidelity prototype menggunakan Figma pada tahap Prototype. Tahap Test melibatkan evaluasi usability dengan metode System Usability Scale (SUS) pada sepuluh partisipan. Hasil pengujian menunjukkan nilai rata-rata SUS sebesar 80,0 yang termasuk kategori “Sangat Baik”, dengan mayoritas responden menilai antarmuka mudah dipahami dan digunakan. Aplikasi ini berhasil mengintegrasikan fitur pelacakan lokasi kendaraan berbasis GPS, notifikasi otomatis, konfirmasi penjemputan, serta opsi pembayaran fleksibel. Dampaknya, rancangan ini mampu meningkatkan keamanan dan kenyamanan proses antar jemput siswa, serta memperbaiki koordinasi antar orang.Kata kunci : Design Thinking; antarmuka pengguna; penjemputan siswa SD; UX/UI;Abstract - This study aims to develop a user interface design for an elementary school student pickup application that provides a safe, efficient, and easily accessible user experience, especially for parents who are unable to personally take their children to school. The design process employed the Design Thinking method, consisting of five main stages: Empathize, Define, Ideate, Prototype, and Test. The Empathize stage was carried out through surveys and interviews to explore user needs, followed by the Define stage to formulate problems and design objectives. Solution ideas were generated in the Ideate stage and then visualized into a high-fidelity prototype using Figma in the Prototype stage. The Test stage involved usability evaluation using the System Usability Scale (SUS) with ten participants. The test results showed an average SUS score of 80.0, categorized as “Excellent,” with most respondents stating that the interface was easy to understand and use. The application successfully integrates features such as GPS-based vehicle tracking, automatic notifications, pickup confirmation, and flexible payment options. As an impact, this design significantly enhances the safety and convenience of the student pickup process while improving coordination between parents, drivers, and schools.Keywords : Design Thinking, user interface, elementary school student pickup, UX/UI
PENINGKATAN KESADARAN KEAMANAN DATA PRIBADI dan hukum cyber Taftazani Ghazi Pratama; Dian Rosita; Anwari Anwari; Purbowati Purbowati
Jurnal Abdimas Indonesia Vol 5, No 2 (2023): JURNAL ABDIMAS INDONESIA
Publisher : Universitas Muhammadiyah Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26751/jai.v5i2.2204

Abstract

Teknologi Informasi dan Komunikasi (TIK) yang bekembang saat ini dapat membantu dan menunjang aktivitas sehari-hari. Di samping itu TIK juga memiliki dampak negatif apabila disalahgunakan untuk tindakan kriminal. Tindakan kriminal yang memanfaatkan Teknologi Informasi dikenal dengan istilah Cybercrime. Untuk mengantisipasi adanya cybercrime  maka masyarakat perlu diberikan wawasan dan pengetahuan dalam kegiatan pengabdian kepada masyarakat yang disampaikan dalam bentuk sosialisasi. Sosialisasi dilaksanakan secara tatap muka dengan para peserta berasal dari Ibu-Ibu Ranting Ranting Aisiyah Kedungdowo. Tujuan dari sosialiasi ini yaitu membekali para peserta agar lebih waspada dan hati-hati terhadap cybercrime, memberikan langkah pencegahan dari cybercrime, melindungi data pribadi, dan memberikan rasa aman dengan adanya hukum cyber. Hasil evaluasi dari sosialiasi ini para peserta mendapatkan pengetahuan meningkat sebanyak 50% dan mendapatkan ilmu yang bermanfaat.  
Detecting Muslim Students Mental Health with an Islamic Educational Approach using Machine Learning Pratama, Taftazani Ghazi; Rafsanjani, Toni Ardi; Rahmawati, Riana Putri; Imaduddin, Helmi
Sistemasi: Jurnal Sistem Informasi Vol 15, No 1 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i1.5732

Abstract

Mental health among university students has become a major concern in higher education, particularly in the post-pandemic era, which has left students facing various academic, social, and psychological pressures. Unfortunately, efforts for early detection of mental health issues on campus remain limited, especially in the context of Muslim students who live within an Islamic cultural framework. This study offers an innovative approach by integrating advanced machine learning technology with the depth of Islamic educational values to develop an early detection system that is not only accurate but also humanistic and contextually relevant. The dataset for this study was obtained through a survey of 127 students at Universitas Muhammadiyah Kudus, including variables related to psychological conditions and the intensity of religious practices, used to detect whether students experience mental health problems or maintain good mental health. The research methodology includes data collection, preprocessing, feature analysis, model development using classification algorithms such as Random Forest, SVM, KNN, and Decision Tree, model performance optimization using GridSearchCV, and evaluation. Evaluation of the four models indicated that prior to optimization, SVM and KNN achieved the best performance, both with an accuracy of 88.46%. After optimization with GridSearchCV, SVM became the top-performing model, achieving an accuracy improvement of more than 5%, reaching 94.05%. Feature analysis revealed that levels of anxiety, fatigue, and religious practices such as prayer and dhikr were the primary determinants in mapping students’ mental health conditions. These findings suggest that Islamic values such as tawakkul (trust in God), sabr (patience), and syukur (gratitude) are not merely theological concepts but can also serve as scientific instruments, converted into predictive features in data-driven technologies. This study demonstrates that an SVM model optimized with GridSearchCV is effective in detecting university students’ mental health and has the potential to serve as an early warning system in Islamic campus settings.
IMPLEMENTASI QR CODE UNTUK MONITORING PROSES PRODUKSI BAGI KONSUMEN PADA USAHA SABLON Soma Setiawan Ponco Nugroho; Andi Kurniawan; Achmad Ridwan; Taftazani Ghazi Pratama
JURNAL BISNIS DIGITAL DAN SISTEM INFORMASI Vol 3, No 2 (2022): JURNAL BISNIS DIGITAL DAN SISTEM INFORMASI
Publisher : Universitas Muhammadiyah Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26751/bidisfo.v3i2.1797

Abstract

ABSTRAKProses produksi seringkali menjadi pertanyaan bagi pelanggan pada usaha sablon. Pertanyaan terkait proses produksi banyak menyita waktu bagi pelaku usaha sablon karena harus melakukan pengecekan pemesanan pada proses produksi. Salah satu cara yang dapat dilakukan bagi pelaku usaha sablon adalah menyediakan wadah bagi pelanggan untuk dapat melakukan pengecekan mandiri proses produksi pada pemesanannya. QR Code digunakan untuk memudahkan pelanggan dalam proses pengecekan mandiri, pelanggan tidak perlu mengetik kode pemesanan yang panjang, pelanggan cukup memindai kode QR menggunakan smartphone pada bukti pemesanan. Implementasi kode QR untuk pelacakan pemesanan pelanggan dalam proses produksi diharapkan dapat memudahkan dan menghemat waktu operasional pelaku usaha sablon.Kata Kunci: Kode QR, Pelacakan Proses Produksi, Industri Sablon ABSTRACTThe production process is often a question for customers in the screen printing business. Questions related to the production process take a lot of time for screen printing business actors because they have to check orders in the production process. One way that can be done for screen printing business actors is to provide a container for customers to be able to self-check the production process on their orders. QR Code is used to make it easier for customers in the self-checking process, customers do not need to type a long order code, customers can simply scan the QR code using a smartphone on the proof of order. The implementation of QR codes for tracking customer orders in the production process is expected to facilitate and save the operational time of screen printing business actors. Keywords: QR Code, Production Process Tracking, Screen Printing Industry
IMPLEMENTASI WEBSITE INTERAKTIF UNTUK SISTEM MANAJEMEN PEMBAGIAN GAJI PERUSAHAAN Osama Maulana Haq; Taftazani Ghazi Pratama; Widya Cholid Wahyudin
JURNAL ILMU KOMPUTER DAN MATEMATIKA Vol 6, No 2 (2025): JURNAL ILMU KOMPUTER DAN MATEMATIKA
Publisher : Universitas Muhammadiyah Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26751/jikoma.v6i2.2908

Abstract

The implementation of a PHP Laravel-based payroll management system has proven to be an effective solution for optimizing company operations in terms of payroll and employee attendance management. With features including attendance data management, automated payroll calculation, deductions, and the ability to generate analytical reports, this system provides high transparency, efficiency, and accuracy. The use of Laravel as the primary framework ensures that the system is secure, flexible, and easily integrable with other modules. The outcomes of this implementation show improvements in strategic decision-making and employee satisfaction, ultimately supporting overall company performance and growth.Keywords: Transparency, Efficiency, and PHP Laravel
Co-Authors Achmad Ridwan Achmad Ridwan, Achmad Agung Prihandono Andi Kurniawan Anwari . Dian Rosita Edi Wibowo Suwandi Fida Maisa Hana Hafni Aulida Haq, Osama Maulana Helmi Imaduddin Hermawan Abdillah Hamka Mahdarul Huda Ahmad Muhamad Jauhar Osama Maulana Haq Purbowati Purbowati Rafsanjani, Toni Ardi Rahmawati, Ashri Maulida Rahmawati, Riana Putri Sam Saputra, Vernanda Saputra, Vernanda Sam Soma Setiawan Ponco Nugroho Syahrul Azmi Nawaf Widya Cholid Wahyudin