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All Journal Journal Information System Development METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Journal on Education Jurnal Informatika Kaputama (JIK) Jurnal Sistem Informasi Kaputama (JSIK) JTIK (Jurnal Teknik Informatika Kaputama) El-Mujtama: Jurnal Pengabdian Masyarakat Bulletin of Multi-Disciplinary Science and Applied Technology Archive: Jurnal Pengabdian Kepada Masyarakat Journal of Artificial Intelligence and Engineering Applications (JAIEA) Journal of Engineering, Technology and Computing (JETCom) International Journal of Health, Engineering and Technology Jurnal Penelitian Sistem Informasi Indonesian Journal of Education And Computer Science Indonesian Journal of Science, Technology, and Humanities Nusantara Journal of Multidisciplinary Science Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi Modem : Jurnal Informatika dan Sains Teknologi Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Mars: Jurnal Teknik Mesin, Industri, Elektro dan Ilmu Komputer
Fauzi, Achmad
STMIK KAPUTAMA
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Application of the Learning Vector Algorithm Quantization On Smart Barcodes Andre; Achmad Fauzi; Milli Alfhi Syari
Indonesian Journal of Education And Computer Science Vol. 1 No. 2 (2023): INDOTECH - August 2023
Publisher : PT. INOVASI TEKNOLOGI KOMPUTER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60076/indotech.v1i2.41

Abstract

Penerapan algoritma Learning Vector Quantization (LVQ) pada barcode cerdas memiliki tujuan untuk meningkatkan efisiensi dan akurasi dalam pengenalan serta pelacakan data barang. Dalam konteks ini, barcode berfungsi sebagai representasi visual yang mengandung informasi penting tentang produk. Algoritma LVQ digunakan untuk mengoptimalkan proses klasifikasi dan pencocokan data barcode dengan referensi yang tepat. Melalui pelatihan berulang, algoritma ini mengadaptasi vektor pembelajaran untuk mengenali variasi barcode dengan lebih baik. Dalam penelitian ini, peneliti menganalisis dampak penerapan algoritma LVQ pada sistem barcode cerdas dalam hal akurasi identifikasi, efisiensi komputasi, dan kemampuan beradaptasi terhadap perubahan. Hasil eksperimen menunjukkan penerapan barcode pada sistem inventory barang membawa manfaat yang signifikan dalam pengelolaan stok dan efisiensi bisnis secara keseluruhan. Dengan pemanfaatan teknologi barcode, proses pelacakan dan pencatatan data produk menjadi lebih cepat, akurat, dan terotomatisasi. Penggunaan barcode meminimalkan kesalahan manusia, mengoptimalkan waktu, dan mengurangi biaya operasional. Dengan menggabungkan kecerdasan algoritma LVQ dan potensi barcode, penelitian ini mengilustrasikan perkembangan penting dalam domain integrasi teknologi untuk pengembangan sistem yang lebih canggih dan efektif.
Watermarking Qr Code Application On Birth Certificates Using The Discrete Cosine Transform (Dct) Method Firliansyah, Aulia; Fauzi, Achmad; Sembiring, Hermansyah
Indonesian Journal of Education And Computer Science Vol. 1 No. 2 (2023): INDOTECH - August 2023
Publisher : PT. INOVASI TEKNOLOGI KOMPUTER

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60076/indotech.v1i2.46

Abstract

Dokumen penting seperti kartu keluarga sering menjadi bahan pemalsuan. Maka dari itu kita harus mampu menjaga kerahasiaannya. Permasalahan ini bisa diatasi dengan metode watermarking. diambil oleh mesin dengan bentuk pendekatan berdasarkan sampling Watermarking adalah teknik yang dapat digunakan untuk menyisipkan informasi ke suatu citra. Citra digital merupakan representatif dari citra yang dan kuantisasi. Citra yang digunakan yaitu QR Code. Qr Code merupakan bentuk evolusi kode batang dari satu dimensi menjadi dua dimensi. Penelitian ini menggunakan Algoritma Discrete Cosine Transform (DCT). Algoritma DTC menjalankan konversi dari bentuk spasial dengan tujuan untuk memisahkan gambar pada sub bagian dengan ftingkatan rekuensi berbeda-beda. Penerapan metode Discrete Cosine Transform (DCT) dalam proses watermarking QR Code pada akta kelahiran telah berhasil memberikan kontribusi yang signifikan terhadap keamanan dan otentikasi dokumen tersebut. Dalam keseluruhan penerapan ini, DCT telah terbukti sebagai alat yang efektif dalam menyematkan informasi tambahan ke dalam gambar akta kelahiran tanpa mengorbankan integritas informasi utama. Namun, perlu diperhatikan bahwa penggunaan DCT juga dapat mempengaruhi kualitas visual gambar. Dengan demikian, penyesuaian parameter diperlukan untuk mencapai keseimbangan yang tepat antara keamanan dan estetika visual
Penerapan K-Means Clustering untuk Menentukan Lokasi Promosi Penerimaan Mahasiswa Baru : (Studi Kasus: STMIK Kaputama Kota Binjai) Ronauli Silaban; Achmad Fauzi; Lina Arliana Nur Kadim
Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika Vol. 2 No. 5 (2024): September : Merkurius : Jurnal Riset Sistem Informasi dan Teknik Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/merkurius.v2i5.322

Abstract

The process of accepting new students generates a lot of data in the form of profiles of students who register. From year to year there is an increase in the number of prospective new students who come from several areas in Binjai City, Langkat Regency and surrounding areas, so the location of the socialization of new student admissions promotions every year is increasing and wider. And from several schools that have been visited and are expected to provide new prospective students, in fact, it is not proportional to the final number of prospective students who register. In this study, applying the K-Means Clustering algorithm using 3 variables namely, region, school origin, major. In determining the location of new student admissions promotions, the promotion team first identifies what factors will influence the determination of promotional locations ranging from region, school origin and majors that are considered to be set as promotional locations. Based on the results of grouping new student admission data of STMIK Kaputama Binjai using the K-means Clustering method from 20 data that has been processed, 3 clusters and 3 iterations are produced where cluster 1 has 9 data, cluster 2 has 2 data and cluster 3 has 9 data.
Rancang Bangun Kontrol Bel Otomatis Berdasarkan Jadwal Perkuliahan Menggunakan Internet of Things (IoT) Muhammad Ali Imran; Achmad Fauzi; Husnul Khair
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 2 No. 4 (2024): Oktober : Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v2i4.225

Abstract

The Internet of Things (IoT)-based automatic bell system is designed to enhance the efficiency of bell operations in educational institutions by utilizing modern technology. This research aims to develop a system that can control the bell automatically according to the class schedule, while also enabling remote control via a mobile application using the Blynk platform. The system is built using an ESP8266 as the main microcontroller, a DFPlayer Mini module for audio playback, and an RTC DS1307 for time management. The results show that the system functions as expected, both in automatic mode based on the schedule and in manual mode through the mobile application. Testing and debugging demonstrated that integration with WiFi networks allows for flexible and effective bell control. For further development, it is recommended to add a power backup feature, web interface, and push notifications to improve system reliability and flexibility. This system provides an efficient and practical IoT solution for automating bell operations in educational environments.
Diagnosa Penyakit Epilepsi Menggunakan Metode Bayes Ade Rahayu; Achmad Fauzi; Victor Maruli Pakpahan
Modem : Jurnal Informatika dan Sains Teknologi. Vol. 2 No. 4 (2024): Oktober : Modem : Jurnal Informatika dan Sains Teknologi
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/modem.v2i4.231

Abstract

Epilepsy, or apoplexy, is a chronic disease characterized by recurrent seizures and impaired consciousness due to disorders of the central nervous system. In developing countries, including in RSU Putri Bidadari, epilepsy management is often hampered by high consultation costs, resulting in suboptimal quality of treatment and patient recovery. To overcome this challenge, a system is needed that can facilitate the diagnosis and treatment of epilepsy more efficiently. By using this method, RSU Putri Bidadari can improve the precision of epilepsy diagnosis and determine more appropriate treatment steps, despite limited resources. The Bayes method, as a statistical approach, offers a potential solution to improve the accuracy of diagnosis through data-based probability estimation of diseases and symptoms reported by patients such as frequent hunger, thirst, urination, weight loss, vaginal infections, easy fatigue, tingling legs, and blurred vision. The analysis results of the system show an estimated probability of 73% for patients suffering from generalized epilepsy. The Bayes method-based system is expected to help RSU Putri Bidadari in providing more effective treatment and improving the overall quality of life of epilepsy patients.
Design of Gas Leakage Monitoring System Based on Android Application and NodeMCU ESP8266 Nabil Fuadi; Fauzi, Achmad; Khair, Husnul
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 1 (2024): October 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i1.585

Abstract

Gas leakage is a serious problem that can threaten public safety and health and cause significant material losses. This research aims to design and implement a gas leak monitoring system that can be accessed remotely based on Android applications and NodeMCU ESP8266. NodeMCU ESP8266 is chosen as the main microcontroller equipped with an MQ-2 gas sensor to detect the presence of hazardous gas. This research incorporates Internet of Things (IoT) technology to allow users to remotely monitor the condition of gas leaks, thereby increasing the level of safety in the use of gas in households or small industries. The hardware design includes the use of an MQ-2 gas sensor that is sensitive to certain gas concentrations, as well as setting up an ESP8266 NodeMCU to transmit detection data to a Firebase server for later access through an Android application. The Android application was developed using Android Studio with a focus on an intuitive user interface to monitor the status of gas leaks in real-time. he research methods used include system design, hardware and software implementation, and thorough system testing by simulating gas leak scenarios to test the reliability and response of the system. The results show that the system can detect gas leaks with high accuracy. It is expected that the system developed in this research can be a practical and effective solution in reducing the risk of accidents caused by gas leaks, as well as making a positive contribution in increasing awareness of the safety of gas use in the community.
Design and Build Running Text Controls Using IoT Aji Tyo Syahputra; Fauzi, Achmad; Milli Alfhi Syari
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 1 (2024): October 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i1.625

Abstract

This research designs and builds an Internet of Things (IoT)-based running text control system using the P10 display module which can be controlled through the Blynk application and displays the temperature in real-time using the DHT22 sensor. The system consists of hardware such as a microcontroller, Wi-Fi module, P10 LED display, and DHT22 sensor to measure temperature and humidity. The Blynk app is used as a user interface to control the messages displayed on the P10 module and monitor the temperature data in real-time. Software development is carried out to integrate the hardware with the Blynk application and enable efficient data transmission. The test results show that this system is able to accurately display text messages and temperature data with low latency. These systems can be applied in a variety of scenarios such as public information systems, environmental surveillance, and dynamic advertising applications.
Design and Build Automatic Fan Control Based Internet of Things Septian, Refli; Achmad Fauzi; Milli Alfhi Syari
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 1 (2024): October 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i1.634

Abstract

This research aims to create and develop an automatic fan control system based on the Internet of Things (IoT) that can regulate the room temperature well. The NodeMCU ESP8266 serve as a microcontroller for this system. The DHT22 sensor detects temperature, the L298N Driver Motor controls the speed of the 12V DC fan, and the 16x2 LCD displays temperature information in realtime. When the room temperature exceeds the threshold, the fan will automatically turn on and off when the temperature returns to normal. The Blynk app also allows users to monitor and control fans through smartphones. It allows users to manually control the fan and monitor it remotely. The results of the study show that this system works well and improves user comfort by managing the room temperature. The system also offers high flexibility with IoT integration, allowing for further development for wider applications in home automation and energy management.
Improving the Quality of Digital Images on Identity Cards Using Contrast Stretching and Retinex Methods Salsabilla, Nur; Achmad Fauzi; I Gusti Prahmana
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 1 (2024): October 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i1.645

Abstract

Enhancing the image quality of the Indonesian Identity Card is crucial to ensure the clarity and accuracy of information in various applications, such as identity verification, administration, and security. This study aims to improve the digital image quality of Identity Card using the Contrast Stretching and Retinex methods. Contrast Stretching is employed to enhance image contrast, while the Retinex method is used to maintain and improve the clarity of colors and image details. The implementation of these methods is carried out using Python. The test results show that these methods are effective in improving the quality of Identity Card images, making the information on the images clearer and easier to read. This research contributes to the development of more advanced image processing technology, which can be applied to various verification and administrative needs that require high reliability.
Super Encryption Feal Algorithm and Base64 Algorithm Image File Security Br Bangun, Tiara; Achmad Fauzi; I Gusti Prahmana
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 4 No. 1 (2024): October 2024
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v4i1.647

Abstract

In the rapidly advancing digital era, image file security has become a critical issue, especially with the increasing risks of data breaches and attacks on digital files. This study aims to enhance the security of image files by implementing a combination of two cryptographic algorithms: Fast Data Encipherment Algorithm- 4 (FEAL-4) and Base64. FEAL-4 is a symmetric encryption algorithm known for its high speed and processing efficiency, while Base64 is used for encoding binary data into ASCII format to ensure safer transmission. This research develops a super encryption system that integrates these two algorithms to protect the integrity and confidentiality of image files, particularly for BMP, JPEG, and PNG formats. The implementation was carried out using the Visual Basic programming language. The results of the study show that the combination of FEAL-4 and Base64 algorithms significantly enhances the security of image files, with a high success rate in the encryption and decryption processes.
Co-Authors Ade Rahayu Ade Syahputri Ade Syahputri Adelia Ramadani Agung Kurniawan Agus Sapitri, Liana Aji Tyo Syahputra Al Boy In Andre Anggi Meliana Br Hutasoit Arianta Bangun Arnes Sembiring Arnes Sembiring Asrul Reza Aulia Annisa Br Bangun AYUDEVIAPERTIWI Br Bangun, Tiara Buaton, Relita Budi Serasi Ginting Budi Serasi Ginting Chintya Dwi Putri Br. Ginting Cici Armayani Cristin Adelianan Br PA Deli Alvinda Denny Prayuda Putra Deny Jollyta Deri Kurniawan Dian Widodo Diki Kurniadi Diky Jaswa Dilla Sillfani Dimas Dimas Dimas EVAPIONA Fatmaira, Zira Feni Yasari Br Surbakti Fira Dwi Yanti Firliansyah, Aulia Fitri Handayani GOESTI MESKANA PELAWI PELAWI Gultom, Imeldawaty Hakim, Azizhil Hermansyah Sembiring Hermansyah Sembiring Hermansyah Sembiring Hermansyah Sembiring Hidayatullah Hidayatullah I Gusti Prahmana Ihsan Wibowo Zakti Iis Joice Susanti Marpaung Irwansyah Josi Maduri Kadim, Lina Arliana Nur Khair, Husnul Layla Mutiara Hasibuan Lina Arliana Magdalena Simajuntak Magdalena Simanjuntak Mega Ayu Ningrum Melda Pita Uli Sitompul Meliala, Evan Syahputra Mili Alfhi Syari Mill alfisyahri Mita Auva Muhammad Al Kahfi Muhammad Ali Imran Muhammad Fadillah Azmi Muhammad Haris N Novriyenni Nabil Fuadi Nezha Febriyan Novi Yunanda Putri Novriyenni - Nurhayati Pakpahan, Victor Maruli Pardede, Akim Manaor Hara Pasaribu, Tioria Rahayu, Rizka Putri Raja Imanda Hakim Nasution Ramanda, Dika Rani Rianda Br Ginting Ranti, Dwi Ratna Cantika Renika Ayuni RIFDAHTUL GHINAA SINAMBELA Riza Maria Ulfa Br Matondang Riza Maria Ulfa Br Mtd Rizka Putri Rahayu Rizka Putri Rahayu Rizka Putri Rahayu Rizki Oktavinus Tarigan Ronauli Silaban Ruine Buana Br Sitepu Rusmin Saragih, Rusmin Safna Safitri Salsabilla, Nur Sella Dwi Pratiwi Sembiring, Hermansyah Septian, Refli Sihombing, Anton Simanjuntak, Magdalena Siswan Syahputra Siswan Syahputra Sri Defriani Br Sembiring Sri Dewi Novita Sri Melisa suci ramadani Sulaiman Sulisni Susilawati Susilawati Syari, Milli Alfhi Winda Sari Windy Maulianda Yani Maulita Yekolya Anatesya Yusfrizal Yusfrizal Yustika Septiani Muzahardin Yustika Septiani Muzahardin Zhya Anggraini Zidan Hafiz