Garuda - Garba Rujukan Digital

PENERAPAN AJAX DAN WEB SERVICE PADA SISTEM TUTORIAL PEMROGRAMAN WEB Ikrimach, Ikrimach
ScientiCO : Computer Science and Informatics Journal Vol 2, No 1 (2019): Scientico : April
Publisher : Fakultas Teknik, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstrak. Kemajuan teknologi informasi yang semakin luas serta adanya tuntutan akan kebutuhan data yang diperlukan oleh user menyebabkan informasi harus disajikan dengan cepat dan objektif untuk memenuhi kebutuhan informasi yang diperlukan. Masalah yang dihadapi pada penyajian materi yang berupa script pemrograman saat ini adalah sistem penyajian informasi yang statis, hal ini membuat proses belajar kurang efisien. Untuk mendapatkan performa yang baik dalam proses belajar, maka dibutuhkan sebuah sistem tutorial yang mampu mengeksekusi script pemrograman secara interaktif. Untuk mengeksekusi perintah dengan baik, diperlukan traffic data yang berukuran kecil sehingga server dapat bekerja dengan lebih leluasa dan dapat merespon request yang lebih cepat. Sistem tutorial ini dikembangkan dengan bahasa pemrograman ajax dan metode web service guna mendapat performa pemrosesan yang lebih baik. Sistem tutorial pemrograman web yang dikembangkan menyediakan contoh script atau kode pemrograman web yang dilengkapi dengan deskripsi atau penjelasan. Selain itu, sistem ini juga memiliki kemampuan untuk mengeksekusi contoh program yang disajikan guna mendapatkan hasil outputnya. Dari hasil penelitian menunjukkan bahwa pemanfaatan tutorial pemrograman web sebagai model sistem penunjang pendidikan yang lebih cepat, efektif dan praktis karena dapat digunakan oleh siapa saja, dimana saja dan kapan saja.

COMPARISON OF K-NEAREST NEIGHBOR AND NAÏVE BAYES FOR BREAST CANCER CLASSIFICATION USING PYTHON Irma Handayani; Ikrimach Ikrimach
IJISCS (International Journal of Information System and Computer Science) Vol 5, No 1 (2021): IJISCS (International Journal of Information System and Computer Science)
Publisher : STMIK Pringsewu Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v5i1.953

Classification is widely used to determine decisions according to new knowledge gained from processing past data using algorithms. The number of attributes can affect the performance of an algorithm. Several data mining methods that are widely used for classification include the K-Nearest Neighbor and naïve Bayes algorithm. The best algorithm for one data type is not necessarily good for another data type. It is even possible that a good algorithm will be horrendous for other data types. To overcome this issue, this study will analyze the accuracy of the K-Nearest Neighbor and Naïve Bayes algorithms for the classification of breast cancer. So that patients with existing parameters can be predicted which are malignant and benign breast cancer. This pattern can be used as a diagnostic measure so that the cancer can be detected earlier and is expected to reduce the mortality rate from breast cancer.

Information system to determine study programs for prospective students based on Android Murti Retnowo; Ikrimach -
Compiler Vol 11, No 1 (2022): May
Publisher : Institut Teknologi Dirgantara Adisutjipto

The development of information technology, especially the technology that exists on smartphones is very large, so many people have smartphones, with the existing smartphones at this time it can be used for various things, one of which is the determination of study programs for prospective new students. The selection of study programs that are permanent and in accordance with their abilities is one way for students to be able to complete their studies at universities. Many students are confused and careless in choosing a study program. There are also those who choose a study program only to go along with their friends so that during the lecture process there are many obstacles to achieve a bachelor's degree, even having to take education until the end of the study period. Multi Criteria Decision Making is one of the ways that can be used to help prospective students based on their own abilities, especially since the program is made specifically for Android-based Smartphones. Thus, prospective students can try to choose the best based on the values that match the criteria determined by the desired study program without being embarrassed to know whether to be accepted in the chosen study program or not. The use of the Android platform is because almost everyone now has an Android-based smartphone so that applications can be downloaded for free on the Play Store.

Sistem Monitoring Capaian Pembelajaran di SMKN 1 Kota Bima Berbasis Web dan Android Nastain, Whitnu; Ikrimach, Ikrimach
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 6 No 1 (2024): May
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v6i1.487

In the process of teaching and learning, there is always a specific goal to be achieved, aiming to fulfill and produce a set of achievements targeted by a subject teacher. Each subject has different learning outcomes. Supervision of learning outcomes is necessary to ensure that both students and teachers can achieve the agreed-upon or school-established learning outcomes. Throughout this process, schools face difficulties in carrying out supervision to ensure that learning outcomes are met. This challenge underscores the need for an application that can assist in the supervision of learning outcomes, aiding schools in ensuring that both teachers and students can successfully achieve the set learning outcomes. The application development process utilizes the waterfall method, with data collection using documentation techniques. The programming languages used are Dart and PHP. The developed application includes the ability to monitor quiz scores, assignment grades, student attendance levels, as well as creating an interactive and engaging discussion forum. After implementation and testing, the application proves to be highly effective in fulfilling its function of supervising learning outcomes. In summary, during the teaching and learning process, the primary objective is to achieve the set learning outcomes. The challenges faced by schools in supervising these outcomes emphasize the necessity for an application that can facilitate this process, ensuring the successful attainment of learning goals by both teachers and students. The development process, using the waterfall method, along with Dart and PHP programming languages, results in an application with features such as quiz and assignment monitoring, attendance tracking, and an interactive discussion forum. The successful implementation and testing demonstrate the application's effectiveness in supervising learning outcomes, providing a practical and efficient solution for schools to monitor and enhance the quality of education.

INTERNET OF THINGS UNTUK MONITORING TANAMAN FLORIKULTURA BERBASIS MOBILE Pratama, Muhammad Urfan Adjie; Ikrimach, Ikrimach
TEKNIMEDIA: Teknologi Informasi dan Multimedia Vol. 4 No. 2 (2023): Desember 2023
Publisher : Badan Penelitian dan Pengabdian Masyarakat (BP2M) STMIK Syaikh Zainuddin NW Anjani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46764/teknimedia.v4i2.132

The development of monitoring applications in the field of floriculture is necessary to improve the quality of ornamental plants. Keeping up with the advancements in Internet of Things technology for detecting growing media conditions, an efficient monitoring solution is needed to optimize the growth, care, and productivity of plants. This research aims to create a mobile-based floriculture plant monitoring application that is expected to assist plant cultivators in observing the microenvironmental conditions of plants, measuring soil moisture, air humidity, and light received by the plants to detect potential issues such as pest infestations or diseases. Thus, the research and development of this application are expected to support the floriculture industry in enhancing plant quality, production efficiency, and environmental sustainability, making it an essential part of modern sustainable cultivation. This research will result in a mobile application built using the Flutter framework, designed to be more flexible for real-time monitoring, especially for Aglaonema plants, using the Waterfall development method. This application can detect not only Aglaonema plants but also other floriculture plants like Chrysanthemums and other ornamental plants. The application has been tested using the Blackbox method, and the test results indicate that the application performs well in monitoring the temperature, soil moisture, and air humidity of Aglaonema plants, sending data to the server, and displaying it on the application quickly and efficiently.

Pengembangan Sistem Aplikasi Penjualan Keripik Pisang Berbasis Web Nafian, Zidni Ilman; Ikrimach, Ikrimach
METIK JURNAL Vol 8 No 2 (2024): METIK Jurnal
Publisher : LPPM Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/metik.v8i2.896

This research aims to develop a web-based application to support the sale of banana chips at Toko Keripik Njik-Njik. Currently, the store relies on Instagram social media as the main means of sales and marketing, which limits the reach of consumers to users of the platform. The application developed is expected to expand the market while simplifying the sales process and data management digitally. The main features designed include product catalogs, detailed product information, customer reviews, online ordering systems, and admin dashboards to monitor and manage stock and sales data in real time. The development process applies the Agile method with an incremental approach, starting from needs analysis, system design, implementation, testing, to the final implementation and evaluation stage. This approach allows each stage of development to produce features that can be directly tested and adjusted to user needs. This research contributes as a digital solution to improve store operational efficiency, expand marketing reach, and be an example for other UMKM in utilizing technology to drive their business growth.

Optimalisasi Pelayanan Pasien Melalui Aplikasi Antrian Berbasis Mobile Mengunakan Metode Agile: Optimalisasi Pelayanan Pasien Melalui Aplikasi Antrian Berbasis Mobile Mengunakan Metode Agile Himawan, Dimas Bintang; Ikrimach, Ikrimach
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 5 No. 1 (2025): MALCOM January 2025
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v5i1.1753

Sistem pelayanan kesehatan di Puskesmas Rimbo Kedui yang masih manual menyebabkan antrian pasien panjang dan waktu tunggu yang lama, hal ini dapat berdampak pada ketidakpuasan pasien. Penelitian ini bertujuan mengembangkan aplikasi antrian berbasis mobile sebagai solusi inovatif untuk mengatasi permasalahan tersebut. Penelitian ini mengadopsi pendekatan Agile Development, yang menekankan pengembangan iteratif dan inkremental. Data penelitian diperoleh melalui wawancara dengan pihak Puskesmas untuk menganalisis kebutuhan pengguna dan proses pelayanan saat ini. Hasil wawancara digunakan sebagai dasar dalam pengembangan prototipe, pengujian berkala dengan pengguna, serta iterasi untuk penyempurnaan aplikasi. Aplikasi ini dilengkapi dengan fitur seperti pendaftaran online, antrian online, dan pengelolaan data pasien secara digital. Implementasi sistem ini diharapkan dapat meningkatkan efisiensi pelayanan, mengurangi waktu tunggu pasien, serta meningkatkan aksesibilitas informasi kesehatan. Hasil dari penelitian ini adalah sebuah aplikasi antrian berbasis mobile yang memungkinkan pengguna untuk mendaftar antrian secara online tanpa harus datang terlebih dahulu ke Puskesmas. Kesimpulan dari penelitian ini adalah bahwa penggunaan aplikasi berbasis mobile untuk membantu mengatur antrian secara online dapat memberikan manfaat yang signifikan dalam meningkatkan kinerja dan efisiensi terhadap pelayanan dari Puskesmas Rimbo Kedui

Pengembangan Aplikasi e-Diet Berbasis Android untuk Meningkatkan Pemahaman Nutrisi Bagi Masyarakat Hakim, Muhammad Lukman; Hermawan, Arief; Ikrimach, Ikrimach
JUKI : Jurnal Komputer dan Informatika Vol. 6 No. 2 (2024): JUKI : Jurnal Komputer dan Informatika, Edisi Nopember 2024
Publisher : Yayasan Kita Menulis

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Pola makan yang tidak sehat telah menjadi penyebab utama satu dari lima kematian, yang menunjukkan rendahnya kesadaran masyarakat tentang pemahaman pentingnya pola makan yang seimbang. Penelitian ini bertujuan untuk meningkatkan pemahaman tersebut melalui pengembangan aplikasi e-Diet berbasis Android. Metode penelitian ini mencakup tiga tahap utama. Tahap pertama adalah analisis kondisi awal kesadaran masyarakat terhadap pentingnya pola makan, yang dilakukan melalui penyebaran kuesioner untuk mengidentifikasi tingkat pemahaman masyarakat yang masih rendah. Tahap kedua melibatkan pengembangan model aplikasi Android yang dirancang sebagai solusi untuk meningkatkan kesadaran akan pentingnya pola makan sehat. Pengembangan aplikasi ini mencakup perancangan fitur-fitur seperti rekomendasi menu sehat sesuai referensi dan kebutuhan nutrisi individu serta pelacakan perkembangan kesehatan. Tahap terakhir adalah evaluasi dampak aplikasi terhadap kesadaran pola makan sehat pada masyarakat, yang dilakukan dengan membandingkan hasil kuesioner awal dengan data yang diperoleh setelah penggunaan aplikasi, guna menilai efektivitas aplikasi dalam meningkatkan pemahaman masyarakat mengenai pemahaman pola makan sehat. Hasil penelitian menunjukkan bahwa aplikasi e-Diet efektif dapat meningkatkan pemahaman dan kesadaran masyarakat tentang risiko pola makan yang tidak sehat serta pentingnya menjaga asupan nutrisi yang seimbang, sehingga berkontribusi positif dalam mendukung gaya hidup sehat dan mengatasi masalah kesehatan terkait pola makan di masyarakat Yogyakarta

APLIKASI PEMESANAN PADA TOKO SABLON BAJU MENGGUNAKAN METODE RAPID APLICATION DEVELOPMENT Sugeng, Jonny Kurniawan; Ikrimach, Ikrimach
Jurnal Tekinkom (Teknik Informasi dan Komputer) Vol 7 No 2 (2024)
Publisher : Politeknik Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37600/tekinkom.v7i2.1664

In today's digital era, advancements in information technology have had a significant impact on various sectors, including the business world. "Sablon Yogyakarta," a store offering custom t-shirt printing services, faces challenges in accommodating its expanding customer base, especially in handling orders and managing customer data. The current manual ordering process has proven to be inefficient, prone to errors, and susceptible to delays in processing orders and providing timely confirmations. This inefficiency can affect customer satisfaction and limit the store's operational effectiveness. To address these issues, there is a pressing need for a web-based ordering system that allows customers to place custom t-shirt orders online, easily selecting designs, sizes, and printing preferences. This system will streamline the order process, reduce human error, and enable better management of order and customer data. Additionally, it will facilitate faster communication between the store and customers, enhancing overall service quality and ensuring smoother transaction processes.

COMPARISON OF K-NEAREST NEIGHBOR AND NAÏVE BAYES FOR BREAST CANCER CLASSIFICATION USING PYTHON Irma Handayani; Ikrimach Ikrimach
IJISCS (International Journal of Information System and Computer Science) Vol 5, No 1 (2021): IJISCS (International Journal of Information System and Computer Science)
Publisher : Bakti Nusantara Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/ijiscs.v5i1.953

Classification is widely used to determine decisions according to new knowledge gained from processing past data using algorithms. The number of attributes can affect the performance of an algorithm. Several data mining methods that are widely used for classification include the K-Nearest Neighbor and naïve Bayes algorithm. The best algorithm for one data type is not necessarily good for another data type. It is even possible that a good algorithm will be horrendous for other data types. To overcome this issue, this study will analyze the accuracy of the K-Nearest Neighbor and Naïve Bayes algorithms for the classification of breast cancer. So that patients with existing parameters can be predicted which are malignant and benign breast cancer. This pattern can be used as a diagnostic measure so that the cancer can be detected earlier and is expected to reduce the mortality rate from breast cancer.

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