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Pelatihan Penggunaan Multimedia Guna Meningkatkan Minat Belajar Pada Sekolah Advent Anggrek Alexander, Allan D; Warta, Joni
Journal Of Computer Science Contributions (JUCOSCO) Vol. 3 No. 1 (2023): Januari 2023
Publisher : Lembaga Penelitian, Pengabdian kepada Masyarakat dan Publikasi Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/60htf056

Abstract

The Anggrek Adventist School was established in 1985 and currently consists of 2 educational units, namely the Anggrek Adventist Elementary School and the Anggrek Adventist Junior High School, this school is located at Jl. Orchid no. 17 Koja Tanjung Priok, North Jakarta and has a total of 152 students. Most of the students come from families with low socioeconomic status. In several studies, the socioeconomic conditions of parents affect students' learning requests where the low economic and social conditions of parents will make it difficult for students to develop themselves compared to the condition of parents of students whose socio-economic conditions are better because they are able to support the educational needs of their children so that can motivate students to study well. The use of audio-visual media can increase interest in learning by using audio-visual media, students will experience interesting things from the previous situation, based on research that has been done showing that the use of audio-visual (multimedia) can increase student interest in learning and for those services activities to This community will focus on training the use of multimedia to increase interest in learning in Orchid Adventist School students, and the multimedia application that will be used is wordwall where the use of this application can increase student participation in learning and it is hoped that with increasing student participation in the learning process, interest will also increase. students to take lessons.
Pengembangan Sistem Pengaduan Layanan Masyarakat Menggunakan Metode Rapid Application Development (RAD) Yanuardi Yanuardi; Lukman Azhari; Alfry Aristo Jansen Sinlae; Allan Desi Alexander
J-INTECH ( Journal of Information and Technology) Vol 12 No 1 (2024): J-Intech : Journal of Information and Technology
Publisher : LPPM STIKI MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/j-intech.v12i1.1201

Abstract

The digital era has demanded efficient and responsive public services as a fundamental need for society, including in the aspect of service complaints. With the village office acting as an intermediary between the government and the public, challenges such as convoluted complaint procedures, lack of transparency, and resource limitations hinder the provision of responsive services. This research aims to address these issues through the development of a community service complaint system based on a website using the Rapid Application Development (RAD) method. RAD method was chosen for its ability to develop systems efficiently, with active user involvement, ensuring the system meets user needs. The research outcome is a community service complaint system based on a website, allowing the public to easily submit complaints, monitor their status, and view responses, while enabling officers to manage complaint data and provide direct responses. Usability testing of the system yielded an average score of 90.83%, indicating a high level of user satisfaction.
Studi Perbandingan Model Keamanan Data pada Cloud Computing Alexander, Allan Desi
Journal of Informatic and Information Security Vol. 6 No. 2 (2025): Desember 2025
Publisher : Program Studi Informatika, Fakultas Ilmu Komputer Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/01vjnj44

Abstract

Layanan komputasi awan (cloud computing) telah menjadi tulang punggung transformasi digital global, menawarkan skalabilitas, efisiensi biaya, dan fleksibilitas yang belum pernah ada sebelumnya. Namun, perpindahan data dari infrastruktur lokal ke lingkungan pihak ketiga yang bersifat multi-tenant menimbulkan kekhawatiran serius terhadap keamanan dan privasi data. Laporan penelitian ini menyajikan analisis komprehensif mengenai perbandingan model keamanan data dalam ekosistem cloud, mencakup aspek kriptografi, mekanisme kontrol akses, dan strategi manajemen risiko. Melalui tinjauan literatur sistematis terhadap studi yang terindeks Scopus dan SINTA antara tahun 2013 hingga 2025, penelitian ini mengevaluasi kinerja algoritma enkripsi seperti AES, RSA, dan ECC, serta membandingkan efektivitas model Role-Based Access Control (RBAC) dan Attribute-Based Access Control (ABAC). Temuan utama menunjukkan bahwa algoritma simetris seperti AES unggul dalam kecepatan dan efisiensi memori untuk data massal, sementara model asimetris seperti RSA lebih optimal untuk manajemen kunci. Dalam hal kontrol akses, ABAC menawarkan fleksibilitas yang lebih tinggi untuk lingkungan dinamis dibandingkan RBAC yang bersifat statis, meskipun memiliki kompleksitas implementasi yang lebih besar. Penelitian ini juga menyoroti peran teknologi mutakhir seperti blockchain, machine learning, dan federated learning dalam memperkuat postur keamanan cloud serta memberikan kerangka kerja manajemen risiko bagi organisasi yang melakukan migrasi data..  
Pengembangan Model Klasifikasi Citra Penyakit Daun Lada Menggunakan Jaringan Syaraf Tiruan Learning Vector Quantization (LVQ) Andrian Sah; Mulyadi Mulyadi; Allan Desi Alexander; Adam M Tanniewa
Jurnal Ilmiah Informatika dan Ilmu Komputer (JIMA-ILKOM) Vol. 4 No. 1 (2025): Volume 4 Nomor 1 March 2025
Publisher : PT. SNN MEDIA TECH PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jima-ilkom.v4i1.53

Abstract

Lada (Piper nigrum) adalah komoditas pertanian bernilai tinggi, namun rentan terhadap penyakit daun akibat infeksi jamur, bakteri, atau hama. Identifikasi dini penting untuk mencegah penurunan hasil panen, namun metode konvensional berbasis observasi visual sering subjektif dan membutuhkan keahlian khusus. Oleh karena itu, penelitian ini bertujuan untuk mengembangkan model klasifikasi penyakit daun lada menggunakan jaringan syaraf tiruan Learning Vector Quantization (LVQ) berbasis pengolahan citra digital. Proses penelitian dimulai dengan preprocessing, yang mencakup konversi ke ruang warna CIELAB untuk meningkatkan kontras, segmentasi menggunakan Otsu Thresholding, serta ekstraksi fitur warna dengan Mean Color dan fitur tekstur menggunakan Gray Level Co-occurrence Matrix (GLCM). Hasil ekstraksi fitur ini kemudian digunakan sebagai masukan untuk algoritma LVQ, yang melakukan klasifikasi berdasarkan pembelajaran vektor prototipe. Hasil evaluasi menunjukkan bahwa model LVQ yang dikembangkan mencapai tingkat akurasi keseluruhan sebesar 90,83%. Model menunjukkan performa terbaik dalam mengenali daun sehat dengan Precision, Recall, dan F1-Score sebesar 96,67%. Sementara itu, kelas Anthracnose memiliki Precision terendah sebesar 87,01%, dan kelas Leaf Blight menunjukkan Recall terendah sebesar 86,67% serta F1-Score terendah sebesar 88,14%. Meskipun terdapat variasi kinerja antar kelas, model ini terbukti efektif dalam menangani dataset terbatas, memiliki kemampuan klasifikasi yang baik terhadap data non-linear, serta memungkinkan interpretasi keputusan klasifikasi yang lebih jelas.
Sistem Pendukung Keputusan Pemilihan Wi-Fi Extender dengan Pendekatan Complex Proportional Assessment dan Rank Reciprocal Nurhasan Nugroho; Fryda Fatmayati; Allan Desi Alexander; Mursalim Tonggiroh
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 5 No. 2 (2023): Desember 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i2.6984

Abstract

A Wi-Fi Extender is a device needed to expand the range and improve the quality of the Wi-Fi signal. To determine the choice, decision makers must know one by one the specifications of the existing products. This results in making decisions difficult and requiring a long time. So the aim of this research is to develop a decision support system for choosing a Wi-Fi Extender using the Rank Reciprocal and COPRAS (Complex Proportional Assessment) weighting approach to make it easier to make decisions in a relatively short time. The Rank Reciprocal approach is used to rank or weight the criteria given by decision makers. Meanwhile, the COPRAS approach is used to obtain the best alternative which is evaluated by calculating the effectiveness index directly proportional to the criteria considered to provide benefits and costs. Based on the case study that was carried out, the highest utility result was obtained, namely the Mercusys MW300RE (A4) which obtained a score of 100. The output produced by the decision support system in the case study that was carried out obtained the same score as manual calculations. Apart from that, the usability testing results obtained an average value of 88.75%. This shows that the system is declared suitable for use because it is in accordance with its function and use.
Implementasi Fuzzy Logic Pada Sistem Kontrol pH Air Mineral Berbasis IOT Joniwarta; Priatna, Wowon; Hamdani, Asep R.; Alexander, Allan D.
The Indonesian Journal of Computer Science Vol. 12 No. 4 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i4.3356

Abstract

Implementation of Fuzzy Logic in the IOT-Based Mineral Water pH Control System for various existing bottled mineral water products, this system can measure the pH value, to find out if the value is still within the limits suitable for consumption or not based on government regulations. The public finds it challenging to understand the level of the pH value of the product because the current state of information regarding the pH level of mineral water generally is not listed in the mineral water bottle circulating on the market. Hardware design, application design, and hardware and software integration were the three steps of this research project. The pH value will be read by this control system from the output of the sensors then the data is collected into a data set. The data will be examined for trends using fuzzy logic, which will be used to classify the maximum and minimum pH levels, acidity levels, and base levels. The study's findings show that an internet-based web of things can access the mineral water pH control system to ascertain each mineral water product's pH value and temperature. This information can then be used by consumers to ascertain the pH level of each mineral water product.
EVALUASI RISIKO ISPA PADA RUMAH TINGGAL BERBASIS PM2.5 DAN KELEMBABAN MENGGUNAKAN FUZZY LOGIC Joniwarta, Joniwarta; Hidayat, Agus; Alexander, Allan Desi; Lubis, Hendarman
Jurnal Manajamen Informatika Jayakarta Vol 6 No 2 (2026): JMI Jayakarta (April 2026)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jmijayakarta.v6i2.2377

Abstract

Kelembapan tinggi pada rumah tinggal, khususnya pada material gipsum, berpotensi meningkatkan pertumbuhan jamur dan akumulasi partikel halus (PM2.5) yang berkontribusi terhadap risiko Infeksi Saluran Pernapasan Akut (ISPA). Penelitian ini bertujuan untuk mengevaluasi risiko ISPA pada rumah tinggal dengan plafon/dinding gipsum lembap berdasarkan parameter konsentrasi PM2.5 dan kelembapan relatif (Relative Humidity/RH) menggunakan algoritma Fuzzy Logic. Evaluasi dilakukan dengan mengacu pada standar kualitas udara World Health Organization (WHO) tahun 2021 yang menetapkan batas ambang PM2.5 sebesar 15 µg/m³ untuk rata-rata 24 jam sebagai pedoman kesehatan. Sistem monitoring dikembangkan berbasis Internet of Things (IoT) menggunakan sensor PMS5003 untuk pengukuran PM2.5 dan DHT22 untuk kelembapan yang terintegrasi dengan mikrokontroler ESP32 serta dashboard pemantauan real-time. Hasil pengukuran selama 7 hari pada ruangan dengan gipsum lembap menunjukkan nilai RH rata-rata 73–82%, dengan konsentrasi PM2.5 berkisar antara 20–38 µg/m³, melampaui ambang WHO pada beberapa periode pengamatan. Analisis menggunakan metode Fuzzy Mamdani mengklasifikasikan kondisi tersebut ke dalam kategori “Waspada” hingga “Bahaya”, terutama ketika kelembapan tinggi memperkuat potensi pertumbuhan jamur dan bioaerosol. Hasil penelitian menunjukkan bahwa penggunaan algoritma Fuzzy Logic memberikan evaluasi risiko yang lebih adaptif dibandingkan metode threshold konvensional berbasis ambang WHO semata, karena mempertimbangkan interaksi antara PM2.5 dan kelembapan. Penelitian ini menegaskan pentingnya pengendalian kelembapan pada material gipsum dalam upaya pencegahan gangguan pernapasan di lingkungan rumah tinggal.