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Akbar, Yuma
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Penerapan Algoritma K-Nearest Neighbor Untuk Klasifikasi Status Gizi Balita Di Posyandu Nusa Indah 4 Frencis Matheos Sarimole; Fentri Boy Pasaribu; Yuma Akbar; Aditya Zakaria Hidayat
TEKNIKA Vol. 18 No. 2 (2024): Teknika Juli - Desember 2024
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.12703925

Abstract

Klasifikasi Data mining adalah sebuah proses menentukan definisi kesamaan karakteristik dalam suatu kelompok atau kelas (class). Untuk mengklasifikasikan data baru berdasarkan data yang sudah dikategorikan (data pelatihan), algoritma K-Nearest Neighbor (KNN) adalah algoritma klasifikasi non-parametrik. Status gizi balita adalah keadaan tubuh balita sebagai hasil dari konsumsi makanan dan penggunaan zat gizi. Keadaan tubuh balita tersebut kemudian dihitung melalui antropometri. Indeks berat badan menurut umur, tinggi badan menurut umur, dan indeks berat badan menurut tinggi badan digunakan untuk menentukannya. Penelitian ini bertujuan untuk mengklasifikasikan status gizi balita. di Posyandu Nusa Indah 4 serta untuk mengetahui Tingkat akurasinya menggunakan algoritma klasifikasi K-Nearest Neighbor. Metode yang digunakan didalam penelitian ini adalah penelitian kuantitatif. Hasil dari penelitian ini adalah terprediksinya 100 data testing status gizi balita berdasarkan mayoritas kelas dari k tetangga terdekat pada 516 data Training yang telah dilakukan Klasifikasi. Evaluasi akurasi dilakukan dengan Metode Confusion Matrix dengan accuracy sebesar 94,64%, precision sebesar 94,64%, dan recall sebesar 94,64%.  Berdasarkan hasil tersebut, algoritma K-Nearest Neighbor dapat digunakan sangat baik untuk Klasifikasi Status Gizi Balita.
Analisis Sentimen Tanggapan Publik Mengenai E-Tilang Melalui Twitter Menggunakan Algoritma K-Nearest Neighbor Septiansyah, Ade; Yel, Mesra Betty; Akbar, Yuma
TEKNIKA Vol. 18 No. 2 (2024): Teknika Juli - Desember 2024
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.12773163

Abstract

Suatu kota harus memiliki sistem transportasi yang baik. Sistem tilang elektronik pemerintah untuk mengawasi lalu lintas disebut e-tilang. Banyak pelanggaran lalu lintas yang terjadi di jalan raya yang cenderung menyebabkan kecelakaan dan menambah kemacetan. Beberapa faktor penyebab pelanggaran lalu lintas termasuk ketidakpatuhan individu terhadap peraturan lalu lintas, misalnya larangan berhenti dan parkir di mana pun. Tujuan dari penelitian adalah untuk mengidentifikasi bagaimana pandangan masyarakat Indonesia tentang tilang elektronik dalam peneletian ini digambarkan melalui analisis sentimen tentang tilang elektronik dan mengelompokkan berbagai jenis komentar. Twitter adalah platform media sosial yang ideal untuk menyampaikan opini karena mudah digunakan, topik terkini, dan memungkinkan komentar. Setelah data dikumpulkan dari Twitter, preprocessing dilakukan untuk membersihkan data, tokenizing, case normalization, stopword, dan stemming. Selain itu, seleksi mengurangi noise dari label yang tidak relavan. Dataset terdiri dari 1.762 baris record tweets diklasifikasi menghasilkan dua kelas data kelas data positif dan kelas data negatif dengan total 1.342 data. Dalam studi ini, algoritma mesin pengklasifikasi K-Nearest Neighbor digunakan data yang sudah ada dari kelas data ini digunakan sebagai data pelatihan untuk mesin pengklasifikasi. Hasil evaluasi menunjukkan akurasi rata-rata 75,41%.
Optimasi Pemetaan Ruang Makan Pada TPU di Jakarta Menggunakan Quantum GIS dengan Metode Haversine Formula Maulana Putra Hertaryawan, Ryfan; Iskandar Mulyana, Dadang; Akbar, Yuma
TEKNIKA Vol. 18 No. 2 (2024): Teknika Juli - Desember 2024
Publisher : Politeknik Negeri Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.12779458

Abstract

Taman Pemakaman Umum (TPU) adalah lahan yang disediakan oleh pemerintah daerah untuk keperluan pemakaman jenazah, tanpa memandang agama atau golongan. Di kota-kota padat seperti DKI Jakarta, kebutuhan akan lahan pemakaman sulit terpenuhi karena tingginya populasi yang dipengaruhi oleh kelahiran dan migrasi perkotaan, yang meningkatkan angka kematian secara tidak langsung. Ketidak akuratan dalam pemetaan lokasi makam karena kepadatan lahan juga menyulitkan pengelola dan pengunjung TPU dalam menemukan makam, terutama yang sudah lama dan rusak nisannya. Penelitian ini bertujuan untuk memetakan ruang makam dengan akurasi lebih tinggi di TPU Susukan menggunakan QGIS untuk visualisasi data dengan GPS smartphone. Hasilnya, peta yang dihasilkan diuji menggunakan load time. Metode Haversine Formula digunakan untuk menghitung jarak antar makam, dibandingkan dengan Euclidean Distance dan perhitungan manual. Hasil Load Time menunjukkan Google Chrome memiliki waktu muat tercepat (170 ms) namun menggunakan memori yang tinggi (98,61 MB), sementara Mozilla Firefox menawarkan waktu muat yang cepat (200 ms) dengan penggunaan memori yang lebih efisien (44 MB). Hasil pengujian Haversine Formula menunjukkan rata-rata akurasi tertinggi sebesar 91,95%, sedangkan Euclidean Distance memiliki rata-rata akurasi 91,94% dalam perbandingan jarak. Berdasarkan hasil penelitian, Haversine Formula dapat membantu dalam pembuatan peta makam dengan menghitung jarak antar lokasi makam.
Deteksi Microsleep Menggunakan Convolutional Neural Network Dengan Sensor ESP32 Pada Pengemudi Akbar, Yuma; Bintoro, Bayu; Mulyana, Dadang Iskandar; Lestari, Sri
INTECOMS: Journal of Information Technology and Computer Science Vol 7 No 5 (2024): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v7i5.12142

Abstract

Microsleep merupakan kondisi berbahaya yang terjadi ketika seseorang tertidur dalam waktu sangat singkat tanpa disadari, terutama saat mengemudi. Skripsi ini bertujuan mengembangkan sistem deteksi Microsleep berbasis Convolutional Neural Network (CNN) dengan sensor ESP32 pada pengemudi. Sistem ini dirancang untuk memantau dan menganalisis pola aktivitas pengemudi secara langsung yang dikumpulkan oleh sensor ESP32. Data yang diperoleh kemudian diproses dan diklasifikasikan menggunakan model CNN untuk mendeteksi kejadian Microsleep. Implementasi sistem ini diharapkan dapat meningkatkan keselamatan berkendara, sehingga dapat mengurangi risiko kecelakaan lalu lintas. Penelitian lebih lanjut diperlukan untuk meningkatkan akurasi deteksi dan menguji sistem pada kondisi nyata di jalan raya. hasil pengolahan data dan hasil pembahasan pada penelitian ini, dapat ditunjukkan bahwa arsitektur convolutional neural network (CNN) dengan algoritma you only look once (YOLO) dapat diimplementasikan untuk melakukan deteksi pada pengemudi apakah terjaga atau tertidur. Selain itu dengan melakukan konfigurasi parameter model dengan batch size 16, network size 320x320, diperoleh nilai IoU dengan learning rate 0.01.
Classification of Customer Satisfaction with the K-Nearest Neighbor Algorithm in Relation to Employee Performance at PT. Airkon Pratama Suprianto, Ahmad; Surapati, Untung; Akbar, Yuma; Hidayat, Aditya Zakaria
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i3.2948

Abstract

PT. Airkon Pratama is the technical consultancy company in the field of maintenance, repair, and operate system. Among its projects are a four-building, multi-story tax office complex. PT. Airkon Pratama experience obstacles to know how its customer satisfaction with their services that is was measured by a questionnaireobtained from work order form. The purpose of this study is to determine how well K-Nearest Neighbor data classification accurately classifies customer satisfaction based on employee performance by PT. Airkon Pratama. The data used in this study is from PT. Airkon Pratama with the data processing using RapidMiner with the K-Nearest Neighbor method which produces an accuracy of 96.53%. Among them four performance indicators were rated as "good", and two as "adequate". Of the 196 that were correctly predicted to be "good," three were "adequate." Most of the 04 respondents gave a positive response indicating their satisfaction with the management of tax office facilities provided by PT. Airkon Pratama in January 2024.
2D Platformer Game Prototype on Indonesian History Using Scratch Akbar, Yuma; Al Ammaar, Mohammad Farroos
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i3.3070

Abstract

In this study, we would like to share a prototype of a 2D platformer game in Scratch centered on the development of Indonesian history that can increase students' interest and motivation in learning history. In search of a more entertaining and successful alternative to the bad lecture situation, the demand for interactive learning media. Visual programming is chosen with Scratch because it is easier to create educational games in this language. Its creation involves the implementation of visual components such as characters, background environments, UI, etc. Data Evaluation provides a positive level of acceptance to students with an average student evaluation score of 4.1/5 Positive responses were obtained for game elements, story content, and ease of operation First, the results of the evaluation of the Validation of 2D Platformer Games in Indonesian History as a Learning Tool. Through student activeness, a more active way of responding to historical material is being implemented by use. Game development has the ability to become a new educational media if it is well structured and organized.
Sentiment Analysis of Social Media X Users Towards Legislators Engaged in Online Gambling Using Naïve Bayes Algorithm Nurmaylina, Vivi; Akbar, Yuma
International Journal Software Engineering and Computer Science (IJSECS) Vol. 4 No. 3 (2024): DECEMBER 2024
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijsecs.v4i3.3079

Abstract

This research analyzes public feelings toward legislative members participating in online gambling applying the Naïve bayes classification technique. The collected data were processed, labeled, cleaned, preprocessed, and classified using RapidMiner Studio software, while conducting the sentiment analysis according to a systematic approach from each of those steps described above, namely, data crawling, cleaning, preprocessing, and classification of the Twitter data. Sentiment distribution yielded 286 negative and 90 positive sentiments with a prediction accuracy of 73.10%. These findings illustrate an overwhelmingly negative public response to this behavior and the expectation society has for legislators as public figures.
Analisis Clustering Penyakit Menular pada Manusia di Jakarta Timur Menggunakan Algoritma K-Means Ramadhan, Muhammad Arya; Poerwandono, Edhy; Akbar, Yuma; Hidayat, Aditya Zakaria
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 1 (2025): JANUARI-MARET 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i1.3007

Abstract

Humans are highly susceptible to various diseases without realizing their causes. The high incidence of infectious diseases in East Jakarta requires an analysis of distribution patterns to determine intervention priorities. This study aims to identify clusters of infectious diseases in East Jakarta, helping authorities plan effective prevention and treatment strategies. Data on infectious disease cases were obtained from the Central Statistics Agency of DKI Jakarta. The K-Means algorithm was used to cluster data based on variables such as period, region, type of disease, and number of cases. The results indicate several main clusters with distinct characteristics that can serve as a foundation for targeted strategies. From 2018 to 2021, diarrhea was predominant, making up 84.14% of cases in 2018 and 81.97% in 2019, pneumonia accounted for 32.92% in 2020, and TB Paru 33.63% in 2021. In conclusion, the K-Means algorithm effectively clusters infectious disease data and provides useful insights into disease distribution in East Jakarta, improving the impact of data-driven health programs.
Implementasi Game 2D Edukasi Pengetahuan Islam untuk Remaja Menggunakan Unity Akbar, Yuma; Albahy, Abdurrahman Asyam
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 1 (2025): JANUARI-MARET 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i1.3019

Abstract

This research aims to address the lack of interest among children in learning basic Islamic knowledge through conventional learning methods, which are often perceived as boring. The proposed solution is the development of Unity-based educational 2D games that present basic Islamic knowledge in an engaging and interactive way. The target audience for this research is children aged 12–15 years, who are expected to show greater interest and motivation to learn Islam through more enjoyable media. The methodology employed in this research is the Waterfall method, consisting of the stages of needs analysis, system design, implementation, verification, and maintenance. The tools used include Unity software for game development and Visual Studio for C# coding. The study also utilized surveys and observations to measure the game's effectiveness in enhancing children's knowledge and engagement. Through efficient project management, it is anticipated that this educational game will become an effective and engaging learning tool for children, while contributing significantly to the field of Islamic religious education.
Optimasi Gigabit Passive Optical Network dan Algoritma Naïve Bayes dalam Analisis Jaringan FTTH Suwandi; Akbar, Yuma; Mulyana, Dadang Iskandar
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 1 (2025): JANUARI-MARET 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i1.3058

Abstract

Internet service users expect reliable bandwidth quality to support the communication access process. From year to year, human needs for communication services continue to increase. Humans still want convenience in daily activities such as sending messages, video and voice, and want the quality of sending and receiving messages to be fast. This encourages telecommunications service providers to focus on innovative telecommunications networks to meet the needs of all customers. Research began by taking data at Tablue and AVS regarding the distance of the fiber cable used as far as 10Km from the OLT. Manual calculations using OTDR. The results of previous measurements and data processing regarding the attenuation obtained in fiber cables are followed by calculating the total attenuation using the existing formula. The next stage is data processing using RapidMiner software with the Naive Bayes algorithm. The final results of the comparison with this test method, namely the prediction results) show an accuracy value of 99.91%. Of the 1124 test data, 1080 data were predicted as OK sentiment and 43 data as Not OK. For prediction results from Not ok. and the Naive Bayes method shows an accuracy value of 0.962% OK. Not ok 0.038% of 1124, test data.
Co-Authors AA Sudharmawan, AA Abdillah, Gipari Pradina Abdul Shomad Abdulloh Abror, Ikhsan Adhipramana, Fernanda Aditya Bagas Pramudhi Aditya Zakaria Hidayat Adzani, Adinda Mutiara Agung Pratama Agung Wianata Sugeng Kusuma Agung Wiranata Sugeng Kusuma Ahluna, Faza Ahmad Zulfikar Aidil Rizki Hidayat Aimar, Muqorrobin Akhsani, Ziyat Akmaludin Akmaludin Al Ammaar, Mohammad Farroos Albahy, Abdurrahman Asyam Aldi Sitohang Aldino Nur Ihsan Angga Tristhanaya Anita Rosiana Anwar, Imam Dzikrilloh Arfadhillah, Zahra Arham, Muhammad Ari Ramadhan Arief, Yoga Sofyan Arif, Sulthan Cendikia Arinal, Veri Aula, Raisah Fajri Aulia, Mutia Dwi Awang Hariman, Aloisius Az-zahra, Haura Salsabila Azis, Iim Muhaemin Abdul Aziz Septian Amrullah Azzahra, Yasmin Aulia Bachtiar, Yuliana Bebriani, Serli Benny Sulaiman K Betty Yel, Mesra Bintoro, Bayu Bryan Pratama Cahyono, Bayu Adi Candra Milad Ridha Eislam Dadang Iskandar Mulyana` Dadang Iskandar, Dadang Damayanti, Yulia Dava Septya Arroufu Dedi Dwi Saputra Dewa Gde Adi Murthi Udayana Doddy Mulyadi Saputra Edhy Poerwandono Edhy Poerwandono Eka Satria Maheswara Fadhil Khanifan Achmad Fadillah, Fauzan Fahmi Chairulloh Faisal Akbar Farhani, Aulia Febrianti, Syafira Feni Putriani Fentri Boy Pasaribu Fernanda Adhipramana Gusniar Alfian Noor Hartinah, Suci Sugih Hengky, Mario Hidayat, Aditya Zakaria Ikhwanul Kurnia Rahman Jodi Juliansah Juliansah, Jodi Julianto, Muhammad Rizky Lestari, Dinny Amalia M Ilham Setya Aji M Jundi Hakim Mafazi, Luthfillah Marjuki Maulana Putra Hertaryawan, Ryfan Mayangsari, Descania Meilisa Miftahul Huda Mizsuari Muamar Rizky Muhamad Farisi Muhamad Fikri Nugraha Muhammad Faizal Lazuardi Mulya, Citra Pricylia Ananda Nadip, Muhamad Zaeni Nirat Nirat Nirat, Nirat Novianto, Firza NST, Silvan Nufus, Reda Hayati Nugraha, Muhamad Fikri Nur Arif Khairudin Nur Oktavian Nurfaishal, Muhammad Dzaky Nurmaylina, Vivi Oka Prasetiyo Oky Tria Saputra Oky Tria Saputra7 Permatasari, Veren Nita Piqih Akmal Poerwandono, Edhy Praja Raymond , Samuel Pramudita, Diky Prasetiyo, Oka Putri Wibowo, Salsabila Qibthiyah, Mariyatul Qolbi, Rofika Ramadhan, Muhammad Arya Regita, Anggit Nur Hannaa Rezha Mulia Revandy Richard Franido Richard Franido Rizki Maulana, Rizki Rizky Adawiyah S, Fahmi Chairulloh Widia Safhani, Rizca Sahrul Hidayat Sahrul Hidayat Saputra, Mochammed Erryandra Sarimole, Frencis Matheos Septiansyah, Ade Setiawan, Kiki Sibarani, Julvan Marzuki Putra Sri Lestari Sri Lestari SRI LESTARI Sugiharto, Tri Sugiyono Sugiyono Sugiyono Sumpena Sumpena Sumpena, Sumpena Surapati, Untung Sutisna Sutisna Sutisna Sutisna Suwandi Tegar Muhamad Hafiz Tegar Muhamad Hafiz Toriq, Fatkul Tri Wahyudi Tundo, Tundo Untung Surapati Untung Surapati Untung Wahyudi Untung Wahyudi Wahyu Saputro Wijaya, Rohmat WINDU GATA Yusril Nurhadi AS