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All Journal International Journal of Electrical and Computer Engineering Tekno : Jurnal Teknologi Elektro dan Kejuruan JURNAL ECONOMIA Jurnal Informatika dan Teknik Elektro Terapan Jurnal Informatika Upgris Journal of Information Technology and Computer Science JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Journal of Information System, Applied, Management, Accounting and Research Jurnal Mantik ILKOMNIKA: Journal of Computer Science and Applied Informatics CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Jifosi Nusantara Science and Technology Proceedings Jurnal Ilmiah Teknologi Informasi dan Robotika International Journal of Data Science, Engineering, and Analytics (IJDASEA) ALINIER: Journal of Artificial Intelligence & Applications Abdimas Altruis: Jurnal Pengabdian Kepada Masyarakat JUSIFOR : Jurnal Sistem Informasi dan Informatika JEECS (Journal of Electrical Engineering and Computer Sciences) Inspiration: Jurnal Teknologi Informasi dan Komunikasi STATISTIKA Journal of Technology and System Information Informasi interaktif : jurnal informatika dan teknologi informasi Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK) Prosiding Seminar Nasional Ilmu Sosial dan Teknologi (SNISTEK)
Andreas Nugroho Sihananto
Department Of Informatics, Universitas Pembangunan Nasional “Veteran” Jawa Timur, Surabaya 60294, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Social Sciences Other

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Chicken feed optimization using evolution strategies and firefly algorithm Andreas Nugroho Sihananto; M. Shochibul Burhan; Wayan Firdaus Mahmudy
International Journal of Electrical and Computer Engineering (IJECE) Vol 9, No 1: February 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (725.99 KB) | DOI: 10.11591/ijece.v9i1.pp585-592

Abstract

Mixing broiler chicken and layer hens feed using various feed ingredients is a difficult task. The feed must fulfill the minimum nutrient requirement and must break the constraint. Some classic approach like Pearson’s Square has been already introduced to solve this problem. However, the approaches cannot guarantee to fulfill nutrient requirements and desirable price. The two metaheuristic algorithms Evolution Strategies (ES) and Firefly Algorithms (FA) are being proposed in this paper to know how well they performed this problems. Result show that ES is perform much better compared to classic Pearson’s Square, but ES itself is outperform by FA on both cases.
Implementasi Metode K-NN dalam Klasterisasi Kasus Kesehatan Jantung Anggraini PS; Andreas Nugroho Sihananto; Dwi Arman Prasetya
ALINIER: Journal of Artificial Intelligence & Applications Vol. 3 No. 2 (2022): ALINIER Journal of Artificial Intelligence & Applications
Publisher : Program Studi Teknik Elektro S1 ITN Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/alinier.v3i2.5761

Abstract

Penyakit jantung penyebab kematian nomer satu berdasarkan data yang diperoleh dari WHO (world health organization). Penyakit jantung terjadi ketika darah yang mengalir ke otot jantung berhenti sehingga menyebabkan gangguan jantung. Hal ini menyebabkan adanya kebutuhan mendefinisikan sistem pendukung keputusan yang membantu dokter dalam mengambil keputusan untuk mengambil tindakan pencegahan terhadap penderita penyakit jantung. K-NN (K-Nearest Neighbor) merupakan metode yang sangat sederhana, paling populer, sangat efisien dan efektif untuk pengenalan pola. K-NN merupakan pengklasifikasi lurus ke depan dengan sampel diklasifikasikan berdasarkan kelas tetangga terdekatnya. Basis data medis memiliki volume tinggi. Jika kumpulan data berisi atribut yang berlebihan dan tidak relevan, maka klasifikasi dapat menghasilkan hasil yang kurang akurat. Penelitian ini menerapkan metode klasifikasi K-NN diharapkan dapat mengatasi permasalahan untuk efektifitas dan akurasi dalam mendeteksi kesehatan jantung. Dalam penelitian ini mencakup pengukuran performa, yaitu: presisi, recall, f-measure, dan akurasi menggunakan metode K-NN dengan nilai K = 3. Dataset yang digunakan dari UCI Machine Learning Repository pada 303 pasien penyakit jantung. Hasil yang didapatkan ialah presisi 0.70, recall 0.94, dan f-measure 0.81, dan akurasi 70% yang termasuk dalam klasifikasi baik dari nilai K terdekat sehingga metode K-NN dapat digunakan dalam mendeteksi kesehatan jantung.
Social Media Marketing Maintains Business Existence Wiwik Handayani; Andreas Nugroho Sihananto
Nusantara Science and Technology Proceedings 7st International Seminar of Research Month 2022
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2023.3312

Abstract

The purpose of a business is to show and maintain the company's existence in the long term. Efforts to maintain business continuity and existence in the competition are by adopting the latest technological developments. The development of the online business world, of course, impacts new differentiation to create and market a product of goods and services. The use of social media as a digital communication channel is every day among Indonesians. Social media is developing into the most popular communication media for now. Besides being used as a communication medium, social media is also used by business people to promote a product/service that is produced. In the current era, the use of social media has transformed into digital marketing tools and digital selling. This article aims to understand the relationship between social media marketing and maintaining a business's existence. The method used in this study is a literature review or literature review. Social media marketing is essential in overhauling business and communication through social media and networking, which is the fastest way to grow a business entity. In addition, social media marketing aims to increase product, brand, and even business awareness by using social websites, such as social networking, microblogging, and content sharing. The advantage of the development of social media-based information technology is that it helps business people achieve goals and maintain business existence in the era of industry 4.0. Social media can also grow the company's reputation in the long term and increase customer loyalty to the company. The study of social media marketing is significant because it maintains the company's sustainable growth.
E-commerce Web-Based Application for Excellent Service Agency (ESA) Hospitality Training Center, Malang Ratna Yulistiani; Andreas Nugroho Sihananto; Kartini; M. Arif Mardhavi; Edi Sugiyanto; Muhammad Afifudin
Nusantara Science and Technology Proceedings 7st International Seminar of Research Month 2022
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2023.3333

Abstract

Excellent Service Agency (ESA) is a hospitality industry training center located in Malang City, East Java, Indonesia. This training center provides decent training for people who want to work in the hospitality industries such as hotels and restaurants. The one which makes a difference between ESA and its competitors is their commitment to providing training that is equivalent to other hospitality industry training institutions but at very affordable costs and they always channel students directly into the workplace market until their students land their first job. However, until now, ESA does not have an official website or e-commerce website to offer its services, so the ESA’s brand usually is only known by word of mouth. This ESA e-commerce website was developed with the CodeIgniter framework and MySQL Maria DB 5.0 database. The result is a company profile website that doubles as an e-commerce web ready to be used for ESA branding and marketing purposes.
Classification of Covid-19 RT-PCR Test Results Using Auto-encoder And Random Forest Andreas Nugroho Sihananto; Eristya Maya Safitri; Arif Widiasan Subagio; Muhammad Dafa Ardiansyah; Aditya Primayudha
Nusantara Science and Technology Proceedings 7st International Seminar of Research Month 2022
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2023.3338

Abstract

Corona Virus Disease (COVID-19) is a new type of virus that emerged at the end of 2019. COVID-19 has become a pandemic due to the increase in the number of cases taking place very quickly and has spread to all corners of the world. The World Health Organization (WHO) recommends the use of the Reverse Transcription-Polymerase Chain Reaction (RT-PCR) method as a way to test the diagnosis of COVID-19 infection. This study builds a classification system for the COVID-19 RT-PCR test results by applying the Auto-encoder algorithm and the Random Forest classification. The dataset used is the result of the RT-PCR test from one of the hospitals in Brazil. The method used is the Auto-encoder to process the dataset features first and the Random Forest algorithm to classify the RT-PCR test results that have positive and negative labels. From this process, it can be seen that the Auto-encoder model can process datasets well and the classification carried out using Random Forest can classify with an accuracy of 87.2%.
Application of Google Data Studio for Data Visualization at SMK Tunas Bangsa Malang Trimono; Andreas Nugroho Sihananto; Muhammad Muharrom Al Haromainy; Edi Sugiyanto; Farkhan
Nusantara Science and Technology Proceedings 7st International Seminar of Research Month 2022
Publisher : Future Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/nstp.2023.33107

Abstract

The Department of Office Automation and Governance (OTKP) is one of the Vocational High School’s majors in Indonesia that focuses on office operations and information processing. One of the popular skill in information processing lately is data processing and visualization. In response of this trend, we propose a Google Data Studio training for Tunas Bangsa Vocational High School’s students from OTKP Majors. Google Data Studio is a free data analysis tool from Google. With this tool, users can not only display data with attractive and easy-to-understand visuals but also can process data from various sources on one worksheet. This service is mostly free, not limited to Google services such as Google Sheets but can be linked to other platforms, such as websites, applications or third party services. By the end of the training all participants have been able to use Google Data Studio for data visualization needed for offices in general.
Implementation of Least Square Algorithm to Predict Monthly Revenue (Case Study: Djuju’s Grocery Store) Aditya Rizqi Ardhana; Chrystia Aji Putra; Andreas Nugroho Sihananto
JEECS (Journal of Electrical Engineering and Computer Sciences) Vol. 8 No. 1 (2023): JEECS (Journal of Electrical Engineering and Computer Sciences)
Publisher : Fakultas Teknik Universitas Bhayangkara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54732/jeecs.v8i1.3

Abstract

Business owners need to estimate their revenue, which is crucial for the sustainability of their operations. Thus, entrepreneurs such as micro, small, and medium-sized business owners, as well as owners of grocery stores, leverage technological advancements to maximize their sales operations. However, manual sales activities can pose challenges for managing sales data, such as disorganized sales record keeping, failure to record sales of high-volume customers, and time-consuming manual reporting for revenue predictions. To address these issues, researchers have developed a revenue prediction information system. In this study, revenue and profit predictions for the following period were calculated using the Least Square algorithm with the Mean Absolute Percentage Error (MAPE). An example calculation for a 12-month period resulted in a revenue forecast of Rp. 2,837,687.76 for the month of June 2023 with a MAPE of 12.71%.
Batas Atas Ukuran Risiko Agregat Pada Portofolio Saham INDF.JK dan ICBP.JK Trimono Trimono; Amri Muhaimin; Andreas Nugroho Sihananto
Statistika Vol. 21 No. 2 (2021): Statistika
Publisher : Department of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Islam Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/statistika.v21i2.340

Abstract

Pada investasi agregat aset finansial, setiap aset tunggal dapat memunculkan potensi risiko kerugian yang harus ditanggung oleh investor. Pada kondisi ini, untuk memprediksi nilai risiko kerugian dapat digunakan konsep risiko agregat. Prediksi nilai risiko dapat diukur melalui suatu ukuran risiko, salah satunya adalah Value at Risk (VaR). Namun, VaR tidak selalu memenuhi sifat subaditif, sehingga VaR bukan merupakan ukuran risiko yang koheren. Ukuran risiko lain sebagai alternatif pengganti VaR adalah Expected Shortfall (ES). Kelebihan utama ES dibandingkan VaR adalah ES telah memenuhi sifat subaditif, sehingga ES adalah ukuran risiko yang koheren. Untuk memprediksi nilai risiko agregat menggunakan VaR maupun ES, dibutuhkan fungsi distribusi bersama dari risiko agregat tersebut. Akan tetap cukup sulit untuk menentukan fungsi distribusi bersama risiko agregat yang disusun oleh beberapa risiko tunggal yang tidak saling bebas. Alternatif yang dapat digunakan apabila fungsi distribusi bersama risiko agregat sulit diperoleh adalah dengan menghitung batas atas risiko agregat dengan memanfaatkan sifat komonotonik dan convex order. Penelitian ini bertujuan untuk mengukur nilai batas risiko agregat menggunakan ukuran risiko ES untuk investasi agregat pada saham PT. Indofood Sukses Makmur Tbk (INDF.JK) dan PT Indofood CBP Sukses Makmur Tbk (ICBP.JK). Berdasarkan hasil analisis menggunakan data return saham INDF.JK dan ICBP.JK periode 02/01/21 – 17/09/21, nilai batas atas ukuran risiko aregat VaR dan ES pada portofolio saham untuk tingkat kepercayaan 95% dan holding period 1 hari masing-masing adalah -0,05231 dan -0,07731.
PENGEMBANGAN APLIKASI PENDETEKSI KERETAKAN JALAN BERBASIS ANDROID DENGAN IMPLEMENTASI ALGORITMA HYBRID CNN-LSTM Pradana, Ilham Akbar; Ani Dijah, Rahajoe; Sihananto, Andreas Nugroho
JIFOSI Vol. 5 No. 2 (2024): Integrasi Sistem Cerdas dengan Internet of Things (IoT)
Publisher : UPN "Veteran" Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33005/jifosi.v5i2.146

Abstract

Infrastruktur jalan yang berkualitas memegang peran penting dalam pertumbuhan ekonomi suatu negara. Namun, dengan meningkatnya volume kendaraan dan faktor lingkungan, kerusakan jalan menjadi masalah yang tak terhindarkan dan memerlukan perhatian serius. Metode tradisional dalam mendeteksi kerusakan jalan seringkali dilakukan melalui inspeksi manual yang tidak hanya memakan waktu tetapi juga cenderung subjektif dan kurang akurat. Penelitian ini mengusulkan pengembangan aplikasi Android yang inovatif, yang memanfaatkan teknologi Deep Learning untuk mendeteksi kerusakan jalan secara akurat dan efisien. Aplikasi ini menggabungkan Convolutional Neural Network (CNN) untuk ekstraksi ciri visual dari gambar dan Long Short-Term Memory (LSTM) untuk memahami konteks sekuensial dari data hasil luaran lapisan-lapisan CNN. Dataset yang digunakan dalam pengembangan model ini bersumber dari kumpulan gambar kerusakan jalan sebagai representasi dari berbagai kondisi jalanan perkotaan di Indonesia. Melalui proses pelatihan, model CNN-LSTM yang ini diintegrasikan ke dalam aplikasi dengan menggunakan TensorFlow Lite. Pengembangan aplikasi Android dilakukan dengan mempertimbangkan arsitektur aplikasi yang baik dan efisien, menjamin bahwa aplikasi tidak hanya responsif dan intuitif tetapi juga hemat sumber daya. Melalui integrasi teknologi canggih dan pendekatan pengembangan yang terfokus, aplikasi ini berpotensi menjadi alat penting dalam usaha pemeliharaan infrastruktur jalan, memberikan solusi yang praktis dan inovatif untuk mendeteksi kerusakan jalan dengan cepat dan akurat.
Indonesian Sign Language Image Detection Using Convolutional Neural Network (CNN) Method Sihananto, Andreas Nugroho; Safitri, Erista Maya; Maulana, Yoga; Fakhruddin, Fikri; Yudistira, Mochammad Ervinda
Inspiration: Jurnal Teknologi Informasi dan Komunikasi Vol. 13 No. 1 (2023): Inspiration: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Pusat Penelitian dan Pengabdian Pada Masyarakat Sekolah Tinggi Manajemen Informatika dan Komputer AKBA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35585/inspir.v13i1.37

Abstract

In Indonesia, there are two sign languages utilized by the deaf community, SIBI and BISINDO. Unfortunately, the majority of non-deaf individuals and deaf companions are not proficient in sign language. To address this communication gap, information systems can play a pivotal role in recognizing sign language speech. Recently, researchers conducted a study using the Convolutional Neural Network (CNN) algorithm to predict sign language for both SIBI and BISINDO datasets. The aim was to develop a model that could accurately translate sign language into written or spoken language, thus bridging the gap between deaf and non-deaf individuals. The research found that the CNN algorithm performed optimally on epoch 50 for SIBI with a testing accuracy of 93.29 %, while for BISINDO, it achieved the best result on epoch 40 with a testing accuracy of 82.32 %. These results suggest that the CNN algorithm has the potential to accurately recognize and translate sign language, thus improving communication between deaf and non-deaf individuals in Indonesia.
Co-Authors Abdul Rezha Efrat Najaf Abdurrahman, Nizar Achmad Junaidi Aditya Primayudha Aditya Rizqi Ardhana Afifudin, Muhammad Afriani, Regita Agung Mustika Rizki, Agung Mustika Agussalim, Agussalim Alifah, Nurul Aini Amalia, Nadhia Rizqy Amri Muhaimin Anggraini PS Anggraini Puspita Sari Ani Dijah, Rahajoe Ar Romandhon, Mitzaqon Gholizhan Ardiansyah, Muhammad Dafa Arif Widiasan Subagio Basuki Rahmat Masdi Siduppa Christianty, Theressa Marry Dwi Arman Prasetya Edi Sugiyanto Edi Sugiyanto Eristya Maya Safitri Fakhruddin, Fikri Farkhan Fauzi, Zaky Ahmad Fetty Tri Anggraeny Gusti Ahmad Fanshuri Alfarisy, Gusti Ahmad Fanshuri Izzatul Fithriyah Kartini Kartini Kartini Lesmana, Benedictus Rafael M Shochibul Burhan, M Shochibul M. Arif Mardhavi M. Shochibul Burhan Mardhavi, Arif Marselina, Anif Fitria Dewi Maulana, Hendra Maulana, Yoga Mohammad, Farrel Adel Muhammad Afifudin Muhammad Dafa Ardiansyah Muhammad Muharrom Al Haromainy Naila, Amelia Maslaqun Nurhaliza, Risma Nurlaili, Afina Lina Octaviani, Vincentia Indri Pangestu, Arif Fajar Parlika, Rizky Pradana, Ilham Akbar Prami, Made Hanindia Putra, Chrystia Aji Putra, Gredy Christian Hendrawan Putra, Raditya Lungguk Satya Ramadhan, Dimas Dharu Rasjid, Azka Avicenna Ratna Yulistiani Retno Mumpuni Reza, Reno Alfa Safitri, Erista Maya Santosa, Mochammad Kevin Saputra, Dewa Raka Krisna Saputri, Asih Sebrina, Aida Fitriya Shahab, Muhammad Syaugi Suryandari, Sabrina Heryanti Taufiqurrahman, Rahmadany Fahreza Tirana Noor Fatyanosa, Tirana Noor Trianingsih, Arini Trimono, Trimono Wayan Firdaus Mahmudy Wiwik Handayani Yisti Vita Via Yudistira, Mochammad Ervinda Yulianto, Rusman