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Implementasi Model View Controller Untuk Proses Pencatatan dan Monitoring Pelanggaran Siswa Pada SMK Satria Akbar, Rakasiwi; Azis, Mochammad Abdul
Jurnal Komputer Antartika Vol. 2 No. 1 (2024): Maret 2024
Publisher : Antartika Media Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70052/jka.v2i1.54

SMK SATRIA merupakan sekolah menengah kejuruan yang memiliki 5 jurusan yang berlokasi di Srengseng.Pada sekolah ini belum mempunyai sistem informasi berbasis website yang dapat mempermudah dalam melakukan proses mencatat pelanggaran yang dilakukan siswa.Maka dari itu dibutuhkan sebuah sistem berbasis website yang dapat digunakan untuk mencatat pelanggaran siswa agar prosenya lebih cepat, aman dan terkomputerisasi.Sistem ini dibagun dengan pendekatan berorientasi objek. Metode yang digunakan yaitu (MVC) Model, view,Controller. Metode ini menggunakan bahasa PHP dalam pengkodeaan, MySQL sebagai database dan Codeigniter 3 sebagai framework. Pada proses perancangan sistem ini melibatkan bagian-bagin dari UML (unfield Modeling languange) seperti use case diagram, activity diagram, squence diagram, dan deployment diagram. Sistem informasi ini dirancang dengan beberapa halaman, seperti halaman login, dashboard, tipe pelanggaran, list pelanggaran, data siswa, class, guru, pengguna dan laporan. Hasilnya berupa sebuah sistem yang dapat membantu pihak sekolah untuk memonitoring pelanggarn yang dilakukan siswa dan mengurangi resiko kesalahan dalam melakukan pencatatan pelanggaran siswa. SMK SATRIA is a vocational high school that has 5 majors located in Srengseng. This school does not yet have a website-based information system that can facilitate the process of recording student violations. Therefore a website-based system is needed that can be used to record violations. students so that the process is faster, safer and computerized. This system is built with an object-oriented approach. The method used is (MVC) Model, view, Controller. This method uses the PHP language for coding, MySQL as the database and CodeIgniter 3 as the framework. The process of designing this system involves parts of the UML (Unfield Modeling Language) such as use case diagrams, activity diagrams, sequence diagrams, and deployment diagrams. This information system is designed with several pages, such as login page, dashboard, types of violations, list of violations, student data, classes, teachers, users and reports. The result is a system that can help the school to monitor violations committed by students and reduce the risk of errors in recording student violations.

IMPLEMENTASI ALGORITMA APRIORI UNTUK ANALISA PEMILIHAN TIPE GENRE FILM ANIME (STUDI KASUS : MYANIMELIST.NET) Azis, Mochammad Abdul; Hadianto, Nur; Miharja, Jaja; Rifai, Saifulloh
Jurnal Pilar Nusa Mandiri Vol 14 No 2 (2018): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Septemb
Publisher : LPPM Universitas Nusa Mandiri

As with Japanese animated films or can also be called an anime film which is now starting to be popular with all circles regardless of age, status and profession. In Japanese anime films, it has several genres from action, comedy, drama, romance, adventure, etc., can be accessed as in online media such as websites that offer various types of anime, one of which is myanimelist.net on this web having 14,000 anime films shared genre. One way to increase the appeal of anime films is to use the genre data that is often watched by anime movie lovers. With these data we foam analyze what types of genres are the most watched, as wellas the tendency to choose alternative genre types that are liked by anime movie lovers. So with these data the creator can determine the strategy for the type of genre that will be created next. a priori algorithm is good for use for itemset formation, pattern searching and so on. Therefore in this study the a priori algorithm was used to determine the pattern of selection of genre types in Japanese Anime Films.

PREDIKSI TINGKAT KELULUSAN NILAI MAHASISWA TERHADAP MATAKULIAH WEB PROGRAMMING MENGGUNKAN METODE NEURAL NETWORK Azis, Mochammad Abdul; Fazriansyah, Agung
Jurnal Pilar Nusa Mandiri Vol 15 No 2 (2019): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Septemb
Publisher : LPPM Universitas Nusa Mandiri

Penerapan teknologi informas dalan dunia pendidikan juga dapat menghasilkan data yang berlimpah mengenai data mahasiswa dan nilai pembelajaran yang dihasilkan. Seperti nilai matakuliah unggulan tersebut yang sangat mempengaruhi jumlah ipk dan kelulusan karna jika salah satu matakuliah unggulan seperti Web Programing tersebut mendapatkan nilai D maka mahasiswa tersebut tidak dapat melakukan pendaftaran Tugas akhir atau Skripsi. Salah satunya caranya adalah dengan melakukan klasifikasi daa nilai mahasiswa untuk mengetahui nilai matakuliah unggulan apa saja yang paling krusial dari semester pertama. Neural Network lebih flesksibel yaitu tidak ada batasan apriori yang dikenakan bila dibandingkan dengan pemodelan statistic klasik, sehingga Neural Network cenderung memberikan prediksi yang akurat.

KAI Commuter Employee Development Application Using The Waterfall Method Ramadan, Angga Riski; Junaidi, Agus; Azis, Mochammad Abdul
Informatics and Software Engineering Vol. 1 No. 2 (2023): December 2023
Publisher : SAN Scientific

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58777/ise.v1i2.93

The KAI Commuter Employee Development application is a solution to support employee development in the PT environment. Indonesian Commuter Train. The development method used in this project is the Waterfall Method, which is a sequential approach consisting of clear phases, including planning, analysis, design, development, testing, and implementation. This application aims to increase effectiveness and efficiency in the management and development of employees in the company. With features such as performance tracking, training, employee evaluation, and creating personal development plans, this application provides a powerful tool for management to monitor and improve the potential of their employees. The development process using the Waterfall Method allows developers to carefully detail requirements before starting the stage implementation. This ensures the application can meet predefined requirements well throughout the development cycle. In addition, this model allows for more structured progress monitoring and enables more efficient project management. By adopting the KAI Commuter Employee Development application and implementing the Waterfall Method, companies can develop their employees, increase productivity, and optimize resources for their humans.

PERANCANGAN SISTEM INFORMASI PENDAFTARAN MURID BARU BERBASIS WEB MENGGUNAKAN FRAMEWORK LARAVEL PADA SPS AL-IHSAN Fauzan, Muhammad; Yani, Ahmad; Azis, Mochammad Abdul
Bianglala Informatika Vol 12, No 2 (2024): Bianglala Informatika 2024
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/bi.v12i2.23628

SPS Al-Ihsan merupakan lembaga pendidikan yang berfokus pada pendidikan anak usia dini, khususnya anak-anak berusia 5 hingga 6 tahun, dengan pendekatan yang menekankan pada ajaran agama Islam. Lembaga ini bertujuan untuk membentuk karakter islami yang kuat dan kokoh sejak dini pada anak-anak melalui berbagai kegiatan pembelajaran yang dirancang secara holistik dan terpadu. Dalam upaya untuk meningkatkan efisiensi dan efektivitas proses pendaftaran siswa baru, sistem pendaftaran berbasis website telah dikembangkan menggunakan framework Laravel. Metode pengumpulan data yang digunakan dalam penelitian ini meliputi observasi langsung di lapangan dan wawancara mendalam dengan pihak terkait, guna memahami kebutuhan, kendala, serta harapan dari pengguna sistem yang ada. Pengembangan sistem ini mengikuti metode Agile, yang memungkinkan penyesuaian cepat terhadap kebutuhan pengguna dan perbaikan berkelanjutan selama proses pengembangan. Dengan adanya sistem ini, diharapkan proses pendaftaran di SPS Al-Ihsan menjadi lebih mudah, cepat, terstruktur, serta mampu memberikan pengalaman yang lebih baik bagi para calon siswa dan orang tua.

Classification and Evaluation of Sleep Disorders Using Random Forest Algorithm in Health and Lifestyle Dataset Widyastuty, Wiwiek; Azis, Mochammad Abdul
Compiler Vol 13, No 1 (2024): May
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/compiler.v13i1.2184

Sleep is a fundamental aspect of human life, accounting for approximately one-third of our existence and playing a crucial role in the restoration of physical health and overall quality of life. However, poor sleep quality can interfere with these critical restorative processes, leading to disorders such as apnoea and insomnia. These conditions not only impair daily performance but also have long-term health consequences. Furthermore, the challenges imposed by modern lifestyles have increased the prevalence of these sleep disorders, emphasizing the need for effective diagnostic tools. This research aims to harness the capabilities of Machine Learning (ML), specifically the Random Forest algorithm, to detect and analyse patterns indicative of sleep disorders in collected data sets. Random Forest is particularly suited for this task due to its ability to manage complex data sets by building multiple decision trees, thus creating a comprehensive and robust model for classifying sleep disorders. The findings of the study are promising, showing that the Random Forest algorithm can achieve a high level of accuracy in sleep disorder detection. The model demonstrated a test accuracy rate of 97.33%, with a precision of 96%, and a recall rate of 100%. Additionally, it achieved an F1-Score of 98% and a Kappa Score of 0.945, validating the reliability of this algorithm in producing precise classifications. This research offers significant insights into the patterns of sleep disorders and contributes to the development of targeted interventions aimed at improving sleep quality. Ultimately, this could significantly enhance the quality of life for individuals suffering from sleep disorders.

Klasifikasi Human Stress Menggunakan Adagrad Optimization untuk Arsitektur Deep Neural Network Azis, Mochammad Abdul; Fauzi, Ahmad; Ginabila; Nawawi, Imam
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 7 No. 1 : Tahun 2022
Publisher : LPPM UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54367/jtiust.v7i1.1916

According to the World Health Organization, stress is a type of mental illness that affects human health and there is no one in this world who does not suffer from stress or depression. Stress is a term that is often used synonymously with negative life experiences or life events. . Analysis of data that has an unbalanced class results in inaccuracies in predicting human stress. This study shows that using the Deep Neural Network (DNN) Architecture model by optimizing several parameters, namely the optimizer, Learning rate and epoch. The best DNN Architect results are obtained with 4 Hidden Layers, Adagard Optimization, Learning rate 0.01 and the number of epochs 100. Accuracy, precision, recall and f-measure scores get 98.25%, 83.00%, 98.25%, 91.00%, respectively.

Klasifikasi Human Stress Menggunakan Adagrad Optimization untuk Arsitektur Deep Neural Network Azis, Mochammad Abdul; Fauzi, Ahmad; Ginabila; Nawawi, Imam
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 7 No. 1 : Tahun 2022
Publisher : LPPM UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54367/jtiust.v7i1.1916

According to the World Health Organization, stress is a type of mental illness that affects human health and there is no one in this world who does not suffer from stress or depression. Stress is a term that is often used synonymously with negative life experiences or life events. . Analysis of data that has an unbalanced class results in inaccuracies in predicting human stress. This study shows that using the Deep Neural Network (DNN) Architecture model by optimizing several parameters, namely the optimizer, Learning rate and epoch. The best DNN Architect results are obtained with 4 Hidden Layers, Adagard Optimization, Learning rate 0.01 and the number of epochs 100. Accuracy, precision, recall and f-measure scores get 98.25%, 83.00%, 98.25%, 91.00%, respectively.

Importance Performance Analysis (IPA) Pada Website Bappeda Kota Tangerang Menggunakan Metode Servqual Hartati, Mega Ratu; Azis, Mochammad Abdul; Yulianto, Eko; Widodo, Pudji
Bianglala Informatika Vol 13, No 2 (2025): Bianglala Informatika 2025
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/bi.v13i2.27598

Website resmi instansi pemerintah berperan penting dalam menyampaikan informasi publik dengan cepat, mudah, dan transparan. Salah satunya adalah website Bappeda Kota Tangerang, yang menjadi sarana utama bagi masyarakat untuk mengakses data dan dokumen perencanaan pembangunan daerah. Namun, untuk memastikan bahwa layanan tersebut benar-benar sesuai dengan harapan pengguna, perlu dilakukan evaluasi menyeluruh. Penelitian ini bertujuan untuk mengukur kualitas pelayanan dan aksesibilitas website Bappeda Kota Tangerang berdasarkan persepsi dan harapan penggunanya. Penelitian ini menggunakan pendekatan kuantitatif deskriptif dengan metode analisis kinerja servqual dan importance performance analysis (IPA). Data dikompilasi melalui kuesioner online yang diisi oleh 150 responden, yang kemudian dianalisis menggunakan perhitungan kesenjangan dan pemetaan dalam diagram kartesius IPA. Hasil penelitian menunjukkan bahwa sebagian besar indikator layanan memiliki nilai kesenjangan negatif, yang berarti bahwa layanan tersebut sepenuhnya memenuhi harapan pengguna. Namun, banyak indikator berada di kuadran II IPA, yang menunjukkan bahwa indikator tersebut penting dan sudah berkinerja baik. Sementara itu, beberapa indikator lainnya berada di kuadran III, yang mengindikasikan perlunya perhatian lebih lanjut untuk perbaikan di masa depan.

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