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All Journal JAIS (Journal of Applied Intelligent System) Journal of Information System Jurnal Eksplora Informatika Conference SENATIK STT Adisutjipto Yogyakarta Indonesian Journal of Business Intelligence (IJUBI) Aviation Electronics, Information Technology, Telecommunications, Electricals, Controls (AVITEC) Zonasi: Jurnal Sistem Informasi Joined Journal (Journal of Informatics Education REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Journal of Computer System and Informatics (JoSYC) Community Development Journal: Jurnal Pengabdian Masyarakat Journal of Telecommunication, Electronics and Control Engineering (JTECE) Journal Of World Science Indonesian Journal of Informatics and Research Journal Of Human And Education (JAHE) Jurnal Pengabdian Mitra Masyarakat (JPMM) SmartComp Media Elektrik
Rito Cipta sigitta Hariyono
Universitas Bhamada Slawi
Aerospace Engineering Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Medicine & Pharmacology Public Health Social Sciences Other

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PENGENALAN EDUKASI GERAKAN DAN BACAAN SHALAT WAJIB BERBASIS ANDROID Sigit Tri Wibowo; Rito Cipta Sigitta Hariyono; Khurotul Aeni
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 9, No 1 (2020): Smart Comp :Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v9i1.1819

Abstract

Prayer is the main pillar of religion and worship in the religion of Islam, the ruling on prayer is obligatory for all Muslims. In the procedure for working on the prayer movement must be orderly and in accordance with the way that has been determined. In this paper, we will discuss the process of making the application of movement learning and reading the obligatory prayers. This theme was raised because of the interest of children (aged 5-7 years) in the village of Prupuk Selatan RT 02 RW 03 still lacking in learning about the obligatory prayer guidelines. Parents usually provide movement learning and prayer recitation to their children still using conventional media such as books, brochures and the like. The purpose of this study was to produce a 3D educational application of compulsory prayer and reading prayers based on android with system design methods using the waterfall method. The results of the design of 3D motion education applications and prayer readings must display the animation of the prayer movement must be accompanied by the sound of reading, this educational application was successfully built with the developer tools 3DS Max 2012 and Unity 3D. Kata kunci : Shalat, Unity 3D, Animasi 3D, 3DS Max
Systematic Literature Review: Klasifikasi Ujaran Kebencian Sosisal Media Dengan Algoritma Naïve Bayes Aang Alim Murtopo; Rito Cipta Sagita; Sarif Surorejo; Yustira .
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 12, No 1 (2023): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v12i1.4314

Abstract

AbstrakPada zaman modern ini pertumbuhan internet semakin pesat terutama penggunaan media sosial sehingga opini publik semakin luas dan bebas ditunjukan di berbagai media sosial. Kebebasan berpendapat yang dimiliki setiap orang malah akan disalahgunakan untuk ujaran kebencian. Untuk membuat analisis sentiment klasifikasi kata ujaran kebencian ini menggunakan Algoritma Naïve Bayes. Dengan menggunakan Tinjauan Pustaka sistematis (SLR) adalah strategi untuk melakukan tinjauan pustaka yang menemukan, meneliti, dan menilai semua temuan pada topik penelitian tertentu untuk memberikan jawaaban atas pertanyaan penelitian yang diajukan sebelumnya. Tinjauan pustaka ini bertujuan untuk menganalisis dan mengidentifikasi penelitian klasifikasi ujaran kebencian menggunakan metode Naïve Bayes antara tahun 2017-2022. Maka mendapatkan hasil analisis dan indentifikasi yaitu akurasi paling signifikan didapat pada kombinasi metode pada algoritma Naïve Bayes menggunakan seleksi fitur information gain yaitu sebesar 98%. Untuk tahun publikasi dan media sosial yang paling banyak membahas tentang klasifikasi kata ujaran kebencian pada algoritma Naïve Bayes yaitu tahun 2018 dan media social twitter. Jadi tinjauan pustaka sistematis ini menghasilkan analisis tentang tahun, kombinasi metode dan media sosial yang paling signifikan membahas tentang klasifikasi ujaran kebencian dengan Algoritma Naive Bayes.
Kombinasi Metode Evaluation Based on Distance from Average Solution (EDAS) dan Rank Order Centroid (ROC) Dalam Pemilihan Konten Layak Tonton Untuk Anak Usia Dini Ben Rahman; Isfauzi Hadi Nugroho; Rima Ruktiari Ismail; Rito Cipta Sigitta Hariyono; Nurul Mega Saraswati
Journal of Computer System and Informatics (JoSYC) Vol 5 No 1 (2023): November 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i1.4464

Abstract

YouTube accommodates videos on almost any topic, including entertainment, guides, music, personal vlogs, news, short films, documentaries, and other variations. This allows users to access content according to their interests and needs without significant restrictions. However, the issue of unsuitable content for children on YouTube has become an increasingly prevalent topic of discussion. The main issues related to unsuitable content for children on YouTube involve videos containing inappropriate material, violence, abusive language, and false or misleading information. While efforts have been made by YouTube to address this issue, it remains a concern given the large number of videos uploaded every day. In selecting YouTube content for early childhood, there are several criteria, including safety feasibility, interesting animation, interactivity, educational value, and positive value. Thus, this research emphasizes the importance of the existence of a decision support system in helping with the selection of YouTube content suitable for children. Decision Support Systems (DSS) use data analysis methods and various algorithms to process available information and data. The author applies a combination of EDAS (Evaluation Based on Distance From Average Solution) and ROC (Rank Order Centroid) methods to select the most appropriate and safe YouTube content for young children. This approach is used to rank each assessed piece of content. This resulted in the YouTube content "Lagu Anak Indonesia Balita" getting the top rank on alternative A8 with a maximum value of 1.00000, making it highly recommended for early childhood.
Analisis Sentimen Pengguna Aplikasi MyPertamina Menggunakan Algoritma Bidirectional Long Short Term Memory Saputra, Angga; Sigitta Hariyono, Rito Cipta; Saraswati, Nurul Mega
Jurnal Eksplora Informatika Vol 13 No 2 (2024): Jurnal Eksplora Informatika
Publisher : Institut Teknologi dan Bisnis STIKOM Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30864/eksplora.v13i2.973

Abstract

Aplikasi mobile telah menjadi sarana penting bagi perusahaan untuk berinteraksi dengan pengguna dan mengumpulkan umpan balik dari mereka. Salah satu aspek penting dari analisis data aplikasi pengguna adalah analisis sentimen, yang dapat memberikan wawasan pengguna tentang pandangan dan penggunaan aplikasi. Aplikasi MyPertamina yang merupakan layanan e-money juga telah terdaftar dan diawasi oleh Bank Indonesia. MyPertamina berfungsi sebagai sistem pembayaran non tunai. Pada aplikasi MyPertamina dapat memberikan ulasan aplikasi melalui kolom komentar atau memberikan rating dari 1 hingga 5 pada google playstore, namun seringkali pengguna memberikan rating yang tidak sesuai dengan ulasannya sehingga dapat mempengaruhi pelanggan jika ulasannya kurang bagus. Agar mempermudah pengelolaan data ulasan, penelitian ini menggunakan analisis sentiment. Analisis sentimen merupakan suatu metode yang digunakan untuk memahami, mengekstrak, dan mengolah secara otomatis data opini dan tekstual untuk mendapatkan sentimen yang terkandung dalam suatu opini. Penggunaan algoritma Bidirectional Long Short Term Memory (BiLSTM) dan Long Short Term Memory (LSTM) untuk analisis sentimen dari umpan balik pengguna pada aplikasi myPertamina. Penelitian ini menggunakan dataset yang berisi ulasan pengguna dari aplikasi myPertamina yang dikumpulkan dari platform Google PlayStore. Dataset ini secara otomatis dianotasi menggunakan library transformers untuk mengidentifikasi sentimen dari ulasan sebagai positif atau negatif. Selanjutnya, algoritma BiLSTM dan LSTM diterapkan untuk melakukan analisis sentimen pada dataset yang dianotasi. Hasil eksperimen menunjukkan bahwa kedua algoritma BiLSTM dan LSTM mampu menghasilkan sentimen yang cukup baik pada dataset ulasan pengguna myPertamina. BiLSTM menunjukkan kinerja yang lebih baik dibandingkan dengan LSTM, dengan akurasi 90% dan 86,25% untuk model LSTM.
Development Textbooks E-Commerce for Growing Entrepreneurship Skills Sigitta, Rito Cipta; Prasetyono, Rizki Noor
SENATIK STT Adisutjipto Vol 5 (2019): Peran Teknologi untuk Revitalisasi Bandara dan Transportasi Udara [ISBN 978-602-52742-
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/senatik.v5i0.336

Abstract

In the digital and disrupt era 4.0 requires innovation in meeting human needs, especially in commerce. The purpose of this study is to increase student interest in entrepreneurship through e-commerce textbooks. This research is a research and development research with ADDIE model. Product validity data collection using questionnaires and tests to find out the increase in entrepreneurship. The results of data analysis and discussion can be concluded that from the development of e-commerce teaching materials validation of material experts, media experts and peers shows that products in the excellent category are appropriate to use. Small group product trials obtained an ideal percentage of 85.2% and were categorized very well. The results of the analysis of increasing entrepreneurial skills from the use of e-commerce teaching materials obtained an N-Gain value of 0.45, indicating that e-commerce development to improve entrepreneurship capacity is effective and appropriate for use in the learning process.
Artificial Intelligence Chatbot for Customer Service in E-Commerce Using Telegram Based on Node.js Nabyla, Fuaida; Saraswati, Nurul Mega; Nursetyo, Arif; Hariyono, Rito Cipta Sigitta; Septi, Ariani Dwi
(JAIS) Journal of Applied Intelligent System Vol. 9 No. 2 (2024): Journal of Applied Intelligent System
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/jais.v9i2.10432

Abstract

Currently, the traditional market is increasingly being supplanted by numerous online markets. The fierce competition in the online market necessitates excellent service from sellers to buyers. As a result, many online stores now offer round-the-clock service, which can be financially burdensome if handled manually. Chatbots offer a promising solution by automating the online shopping process, thereby reducing costs and enhancing customer service. To address the need for accurate and prompt responses, this study proposes an intelligent chatbot system built on Artificial Intelligence (AI), specifically tailored to function as an e-commerce assistant. Integrated seamlessly into the Telegram application, the chatbot efficiently processes user input questions through three essential stages: parsing, pattern matching, and data crawling, all powered by AI technology. Within the AI process, user requests are systematically categorized into three primary domains: general questions, calculations, and stock checks. Notably, the calculation category encapsulates both order and payment processes. The effectiveness of the proposed method is substantiated by the results of 200 trials, demonstrating its adeptness in accurately addressing all user inquiries.
ANALYSIS MATURITY LEVEL MEDICAL SERVICES ELECTRONIC USING COBIT 5 FRAMEWORK (CASE STUDY: RSUD XYZ) Rito Cipta Sigitta Hariyono; Sri Hartati; Arif Rahman; Arif Nursetyo; Firman Ardy Prasetyo
Jurnal Media Elektrik Vol. 21 No. 1 (2023): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v21i1.561

Abstract

The objective of this study is to develop an audit strategy for information system security at XYZ General Hospital, perform a comprehensive security assessment of the REMPEYEK (Electronic Service Medical Record) information system, and provide recommendations for improvement. Quantitative research is a methodology that involves the collection of data through direct assessment of the individuals or entities under investigation. In addition, the COBIT 5 tool is employed to analyze the gathered data in order to acquire a quantitative capability analysis. This study examines the COBIT 5 framework's relevance to the identification of business objectives for information system security in the context of the Rempeyek information system. The identified problems and obstacles in the system include inadequate budget management, insufficient coordination between Diklitbang and the units involved in application development, and a misalignment between information technology systems and security measures. The findings of the assessment on the maturity of the information system security indicate that the DSS05 and APO13 domains have achieved a level 2 status, known as "Managed Process." The capability values for these domains are recorded as 2.02 and 2.68, respectively. This suggests that the relevant procedures have been effectively executed, supervised, and regulated.
FACE RECOGNITION MENGGUNAKAN METODE HAAR CASCADE CLASSIFIER DAN LOCAL BINARY PATTERN HISTOGRAM Nurul Mega Saraswati; Rito Cipta Sigitta Hariyono; David Chandra
Jurnal Media Elektrik Vol. 20 No. 3 (2023): MEDIA ELEKTRIK
Publisher : Jurusan Pendidikan Teknik Elektro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59562/metrik.v20i3.5546

Abstract

Peningkatan ancaman keamanan data menjadi konsekuensi dari kemajuan teknologi yang terus berkembang, terutama dengan adanya teknologi yang memungkinkan akses ke data dari jarak jauh. Penting untuk selalu menjaga keamanan data dan mengambil langkah-langkah preventif untuk mencegah terjadinya pencurian data. Face Recognition (pengenalan wajah) merupakan salah satu dari beberapa teknologi biometrik yang dapat digunakan untuk sistem verifikasi identitas. Tujuan penelitian ini adalah untuk mengetahui akurasi dari penerapan metode Haar Cascade Classifier dan Local Binary Pattern Histogram untuk pengenalan wajah. Data yang digunakan berjumlah 5 kelas, dengan masing-masing kelas memiliki250 citra wajah. Total data yang digunakan berjumlah 1250 citra wajah, terdiri dari 1000 data latih (train) dan 250 data uji (test). Proses pengambilan gambar dilakukan secara otomatis, sistem secara otomatis mengambil 250 wajah per kelas. Tahapan selanjutnya adalah ekstraksi fitur dengan menggunakan metode Local Binary Patterns Histograms (LBPH). Selanjutnya sistem akan mengenali wajah yang dideteksi dengan yang ada di dataset. Penggunaan metode Haar Cascade Classifier dan Local Binary Pattern Histogram (LBPH) untuk mendeteksi wajah menggunakan 250 data uji (test) mendapatkan nilai akurasi sebesar 92%. Pengujian secara real time dilakukan sebanyak 75 kali dengan jarak 30 cm, 50 cm, dan 100 cm. Penggunaan metode Haar Cascade Classifier dan Local Binary Pattern Histogram (LBPH) untuk mendeteksi wajah secara real time mendapatkan akurasi sebesar 90%.
Rancang Bangun Sistem Informasi Pendaftaran Santri Baru Pondok Pesantren Ribath Al-Musyarraf Berbasis Website Nabyla, Fuaida; Hariyono, Rito Cipta Sigitta
REMIK: Riset dan E-Jurnal Manajemen Informatika Komputer Vol. 9 No. 1 (2025): Volume 9 Nomor 1 Januari 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/remik.v9i1.14504

Abstract

Perkembangan Teknologi dan Sistem Informasi, terutama yang berbasis Website, telah menciptakan peluang besar dalam berbagai sektor, termasuk pendidikan. Website kini banyak digunakan untuk mempermudah akses informasi dan promosi, yang menjadi penting bagi lembaga pendidikan seperti Pondok Pesantren. Pondok Pesantren Ribath Al-Musyarraf yang terletak di Desa Penggarutan, Kecamatan Bumiayu, saat ini masih menerapkan proses pendaftaran santri baru secara konvesional. Proses ini melibatkan pengisisan formulir cetak, pengiriman berkas, dan verifikasi yang dilakukan secara langsung, yang mengakibatkan berbagai kendala seperti lambatnya proses pendaftaran, risiko kerusakan dan kehilangan arsip fisik, serta keterbatasan dalam pengelolaan administrasi dan promosi. Seiring dengan pesatnya perkembangan teknologi, penggunaan sistem informasi berbasis Website dapat menawarkan solusi yang lebih efektif dan efisien. Oleh karena itu, penulis mengusulkan pembangunan sistem informasi pendaftaran santri baru berbasis Website untuk Pondok Pesantren Ribath Al-Musyarraf. Sistem yang dibangun menggunakan metode prototype dan pengembangan sistem dengan PHP Native Sistem ini bertujuan untuk mempermudah proses pendaftaran, meningkatkan pengelolaan data dan memperluas media informasi serta promosi pondok pesantren. Dengan adanya sistem ini, diharapkan pondok pesantren dapat mengoptimalkan proses adminstrasi dan memperkenalkan pondok kepada khalayak secara lebih luas dan efektif dibuktikan dari perhitungan rata-rata hasil total persentase pengujian UAT secara keseluruhan dengan persentase nilai 90,6%,.
Design and Construction of Automatic Planting Device Using NodeMCU Based on Internet of Things Nur, Muhammad Arifin; Hariyono, Rito Cipta Sigitta; Sorikhi, Sorikhi
Journal of World Science Vol. 1 No. 1 (2022): Journal of World Science
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (127.625 KB) | DOI: 10.58344/jws.v1i1.6

Abstract

Advances in science and technology have provided enormous benefits in helping human work, including in watering plants. Given the importance of the benefits of technological developments based on real life, that automatic watering using sensors has replaced traditional methods with human power in carrying out daily activities and in the industrial sector. In this study, hardware and software for an automatic watering control system will be built. The research method uses a literature study approach in the form of books and research reports related to the system to be designed. The automatic watering device is built based on the NodeMCU ESP8266 microcontroller and is equipped with a soil moisture sensor. Based on the experimental results, the automatic sprinkler as a means of facilitating plant care using a soil moisture sensor works well according to the program entered, where when the humidity value is above 85 the device will water automatically and if the humidity value is below 85 the device will stop watering.
Co-Authors Aang Alim Murtopo Achmad Zahruddin Afif Fauzi Angga Saputra Arif Nursetyo Arif Rahman Asfahani Asfahani Ben Rahman Chintia Iscahayawati David Chandra David Chandra Dhawuh Rahayu Dhio, M.Syafiq Khairun Dwi Septiani Fadilah Falah Syifa Fathulloh Fathulloh Firman Ardy Prasetyo Fuaida Nabyla Furqon, Mohamad Isfauzi Hadi Nugroho Khasanah, Muthi'atul Khasbulloh, M. Wahab Khoerunisa Khurotul Aeni, Khurotul M Ghozi Ghozali M. Zidan Alfariki Muamar Fahmi Muhammad Zidan Alfarikhi Nabyla, Fuaida Nasrulloh Nasrulloh Ningsih, Natasya Wahyu Nur, Muhammad Arifin Nursetyo, Arif Nurul Mega Saraswati Nurul Mega Saraswati Prasetyo, Firman Ardhi Randi Adzin Murdiantoro Rima Ruktiari Rizki Noor Prasetyono Rizky Mubarok Roni Halim Saputra Rudi Juniyanto Saraswati, Nurul Mega Saraswati, Nurul Mega Saraswati Sarif Surorejo Septi, Ariani Dwi Sigit Tri Wibowo Sorikhi Sorikhi, Sorikhi Sri Hartati Sri Hartati Sulistyani , Anggraeni Mashinta Syarifah Wahyuni Al Syarief Tezhar Rayendra Trastaronny Pastika Nugraha Yustira .