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All Journal Jurnal Informatika Universitas Pamulang Jurnal Teknologi Sistem Informasi dan Aplikasi Journal of Artificial Intelligence and Innovative Applications (JOAIIA) JAMAIKA: Jurnal Abdi Masyarakat KOMMAS: Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmu Komputer (JIK) LOGIC : Jurnal Ilmu Komputer dan Pendidikan OKTAL : Jurnal Ilmu Komputer dan Sains AMMA : Jurnal Pengabdian Masyarakat AI dan SPK : Jurnal Artificial Intelligent dan Sistem Penunjang Keputusan
Yono Cahyono
Universitas Pamulang
Aerospace Engineering Humanities Astronomy Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Nursing Social Sciences Other

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RANCANG BANGUN SISTEM INFORMASI PENGADUAN KERUSAKAN PERANGKAT ODC BERBASIS WEB DENGAN METODE WATERFALL PADA PT TELKOM AKSES JAKARTA SELATAN Adi Saputra; Yono Cahyono
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 1 No 10 (2022): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

PT Telkom Access is one of Telkom's subsidiaries which is engaged in the construction and management of network infrastructure services which was established in 2012. Telkom Cipete STO (Automatic Telephone Center) is one of the PT Telkom Access STOs spread throughout Indonesia which is a switching-device telecommunications as a connector and breaker of information that is sent in a centralized and distributed manner and has its address at Cilandak – South Jakarta. In running its business, STO Telkom Cipete must be able to ensure that the Optical Distribution Cabinet (ODC) spread over the work coverage area of ​​STO Telkom Cipete can work properly. For this reason, it is necessary to carry out periodic maintenance and inspections in case of disturbances to ensure that all services provided by Telkom can work properly. The reporting process by the existing Operations Team Leader is all done via telegram messages to the existing telegram working group which will be read and processed by the maintenance administrator and forwarded back to field technicians so that repairs can be made to the problematic Optical Distribution Cabinet (ODC). received report messages. This reporting system often causes problems with report messages that are often missed and unread because of the large number of messages in the telegram group. In addition, the damage reporting history is not recorded properly so that the search for past damage history data is difficult to find. The process design method is focused on model development using UML (Unified Model Language) and using the PHP programming language, as well as Xampp v3.2.2 with Apache as the web server and MySQL as database storage. This research produces an application that is able to record all damage reporting data so that damage reporting is not missed and provides good notifications to speed up the damage repair process and is able to make it easier for admins to search for damage reporting history data that has occurred as a reference for future improvements.
Rancang Bangun Sistem Absensi Menggunakan RFID dan Kamera Berbasis Web (Studi kasus : Gedung BPIW) Muhammad Fadillah Ilham; Yono Cahyono
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 01 (2023): OKTAL : Jurnal Ilmu Komputer dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

Different companies have different attendance systems. The Regional Infrastructure Development Agency (BPIW) is one part of the PUPR Ministry whose employee attendance system already uses technology, namely the fingerprint attendance system. However, there are still many shortcomings in its use. It is necessary to update the existing employee attendance system by using technology. Based on these problems, the author will create an attendance system using RFID and a web-based camera, which is an object identification method using radio waves. The identification process is carried out by an RFID reader and an RFID transporder (RFID tag). The RFID tag is placed on the employee's id card to be identified. Each RFID tag has a unique identification data number (ID number), so that no RFID tag has the same ID number and its presence data will be identified automatically by the RFID reader and stored in the database, while the ESP-32 CAM is for validation employee attendance, and besides that, in this research, use the Website Interface to provide employee attendance information to personnel and can help to increase effectiveness in processing employee attendance data.
SISTEM KONTROL ATAP RUMAH BERBASIS ANDROID DENGAN MIKROKONTROLLER ARDUINO UNO: Atap otomatis Nurul Khairani; Yono Cahyono
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 2 No 04 (2023): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

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Abstract

A control system for opening and closing the roof of a house is very likely needed for today's millennial society. In addition to convenience, this system is very useful for improving air circulation in the house, getting direct sunlight which can be used for drying and there are many other advantages that will be needed later. As we know that building an open room requires land that cannot be used under certain conditions or weather, such as a drying area which cannot be used when it is raining, so a roof control system that can be opened and closed is very efficient for solving problems in the room. open. The best solution for building an open roof is with an automatic roof system using a microcontroller. The microcontroller system using Arduino Uno is very helpful as an automation system for controlling the opening and closing of the roof of the house, so that it can help control the roof of the house without problems. Coupled with a remote control system and weather detection sensors that will make the control process easier. BlackBox Testing was carried out on the Blynk application that was created and connected to the ESP8266 to produce an output that is valid and can be connected to the microcontroller, as well as sensor functions that run and detect weather accurately. With the existence of a roof control system with a microcontroller, it is hoped that it can create more useful home functions.
Rancang Bangun Aplikasi Penjualan Toko Berbasis Web Dengan Metode Waterfall (Studi Kasus: Toko Usaha Baru) Rama Maulana; Yono Cahyono
LOGIC : Jurnal Ilmu Komputer dan Pendidikan Vol. 1 No. 6 (2023): Logic : Jurnal Ilmu Komputer dan Pendidikan
Publisher : Shofanah Media Berkah

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Abstract

Pada era globalisasi kemajuan teknologi semakin canggih, mengakibatkan tingkat kompetisi pada dunia usaha semakin tinggi dengan memacu perusahaan - perusahaan yang ada untuk meningkatkan kualitas di segala bidang. Teknologi informasi merupakan alat untuk mempermudah, mempercepat, dan merapikan pekerjaan. Toko Usaha Baru merupakan sebuah usaha yang bergerak dibidang perdagangan, masalah yang ada pada toko Toko Usaha Baru adalah sistem penjualan yang dilakukan masih kurang efesien. Hal ini dikarenakan pengolahan data sistem penjualan masih menggunakan sistem konvesional. Penelitian ini bertujuan untuk membuat sebuah sistem untuk mencatat setiap transaksi. Selain itu melalui aplikasi ini juga dapat mencatat laporan penjualan harian maupun bulanan, sehingga pemilik toko bisa mendapatkan gambaran laba/rugi. Dan dengan dibuatnya sistem informasi ini, dapat mempermudah dan meminimalisir kesalahan yang terjadi dalam proses transaksi.
Sistem Penerjemahan Ucapan Bahasa Sunda Berbasis Web dengan Augmentasi Visual Menggunakan Convolutional Neural Network Saddad Nabbil; Yono Cahyono
Journal of Artificial Intelligence and Innovative Applications (JOAIIA) Vol. 7 No. 1 (2026): February
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/joaiia.v7i1.56485

Abstract

This research develops a web-based Sundanese speech translation system incorporating visual enhancement through Convolutional Neural Network (CNN). The primary challenge is insufficient accuracy in audio-only Automatic Speech Recognition (ASR) for low-resource languages under noisy conditions. The solution integrates fine-tuned Whisper Medium for transcription, CNN-based lip-reading, and attention-weighted audio-visual fusion. Training used OpenSLR36 Sundanese corpus with ~35,000 samples from 175,324 available instances (subset due to memory constraints). Optimization was executed on RunPod using NVIDIA RTX 4090 GPU (24GB VRAM) for 5,000 iterations (~11 hours). Results show the optimized model achieves Word Error Rate (WER) of 2.45% at optimal checkpoint (iteration 3500), improving 7.37 percentage points from baseline (9.82% at iteration 500). This performance approaches state-of-the-art by Raharjo & Zahra (2025) reporting 2.03% WER using Whisper Small. The visual module comprises three-layer CNN producing 512-dimensional features with MediaPipe facial detection. Black-box testing validates functional compliance, while responsive interface ensures cross-device compatibility. This work advances Sundanese preservation through accessible translation with competitive accuracy.
Pengembangan Sistem Penunjang Keputusan untuk Penentuan Prioritas Pembuatan Akta Fidusia Berbasis Website Menggunakan Metode (TOPSIS) Rian Putra Ananda; Yono Cahyono
AI dan SPK : Jurnal Artificial Intelligent dan Sistem Penunjang Keputusan Vol. 3 No. 3 (2026): Jurnal AI dan SPK : Jurnal Artificial Inteligent dan Sistem Penunjang Keputusan
Publisher : CV. Shofanah Media Berkah

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Abstract

Fluktuasi volume permintaan pembuatan Akta Fidusia dengan tingkat urgensi yang bervariasi menjadi tantangan tersendiri bagi operasional Kantor Notaris Lusyana Trika, SH., MKn. Metode penentuan prioritas yang berjalan saat ini masih mengandalkan cara manual dan subjektif, yang berpotensi menyebabkan ketidakefisienan alokasi sumber daya serta rendahnya transparansi layanan. Penelitian ini bertujuan membangun Sistem Pendukung Keputusan (SPK) berbasis web untuk memberikan rekomendasi prioritas pengerjaan akta secara objektif. Metode yang diterapkan adalah Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) dengan mengacu pada empat kriteria: nilai aset, kelengkapan dokumen, tingkat urgensi, dan waktu pengajuan. Pengembangan sistem dilakukan menggunakan pendekatan Extreme Programming (XP) yang mencakup fase perencanaan, desain, pengkodean, hingga pengujian. Hasil penelitian memperlihatkan bahwa sistem berhasil menyusun peringkat prioritas berdasarkan kedekatan relatif terhadap solusi ideal. Pengujian Blackbox juga mengonfirmasi bahwa seluruh fitur sistem berfungsi sesuai spesifikasi. Implementasi sistem ini diharapkan mampu meningkatkan efisiensi operasional serta kualitas pelayanan notaris kepada klien.
Perbandingan Metode SMART dan WP untuk Racikan Pakan Bebek Pedaging Berbasis Web Candra Purnama; Yono Cahyono
AI dan SPK : Jurnal Artificial Intelligent dan Sistem Penunjang Keputusan Vol. 3 No. 4 (2026): Jurnal AI dan SPK : Jurnal Artificial Inteligent dan Sistem Penunjang Keputusan
Publisher : CV. Shofanah Media Berkah

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Abstract

Penelitian ini membahas permasalahan dalam menentukan pakan racikan bebek pedaging terbaik di Peternakan Adam Farm yang masih dilakukan secara manual sehingga kurang efisien. Tujuan penelitian adalah merancang dan mengimplementasikan sistem pendukung keputusan berbasis web dengan membandingkan metode Weighted Product (WP) dan Simple Multi Attribute Rating Technique (SMART). Sistem dikembangkan dengan model Waterfall dan data diperoleh melalui observasi, wawancara, serta studi literatur dengan lima kriteria utama: biaya pakan, ketersediaan, protein, kenaikan bobot/minggu, dan tingkat konsumsi pakan. Hasil penelitian menunjukkan bahwa racikan terbaik adalah 1 Dadak + 2 Pur + 1 Ampas Tahu + 1 Roti Bekas. Perbandingan metode menampilkan bahwa metode WP lebih akurat dengan hasil 99,934%, sedangkan metode SMART menghasilkan nilai 99,448%. Dengan demikian, sistem pendukung keputusan berbasis WP mampu memberikan rekomendasi yang lebih baik dalam meningkatkan efisiensi pemilihan pakan dan mendukung pertumbuhan bebek pedaging.
Deteksi Sampah Real-Time Menggunakan model DenseNet121 Yono Cahyono; Perani Rosyani
AI dan SPK : Jurnal Artificial Intelligent dan Sistem Penunjang Keputusan Vol. 3 No. 4 (2026): Jurnal AI dan SPK : Jurnal Artificial Inteligent dan Sistem Penunjang Keputusan
Publisher : CV. Shofanah Media Berkah

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Abstract

Pengelolaan sampah yang efektif memerlukan teknologi yang mampu melakukan identifikasi jenis sampah secara cepat dan akurat. Penelitian ini bertujuan mengembangkan sistem deteksi sampah real-time menggunakan model DenseNet121 yang diintegrasikan dengan OpenCV. Metode penelitian menggunakan pendekatan eksperimen yang meliputi pengumpulan dataset dari berbagai sumber, preprocessing citra, pembagian data menjadi data pelatihan dan pengujian, pelatihan model, evaluasi performa, serta implementasi sistem deteksi secara real-time. Model DenseNet121 dipilih karena memiliki arsitektur dense connectivity yang mampu meningkatkan efisiensi pembelajaran dan akurasi klasifikasi citra. Hasil pelatihan menunjukkan Train Accuracy sebesar 92,5% dan Validation Accuracy sebesar 94,9%, sedangkan pada tahap pengujian model memperoleh akurasi sebesar 96,1%. Kurva pelatihan menunjukkan proses konvergensi yang stabil tanpa indikasi overfitting yang signifikan. Integrasi model dengan OpenCV memungkinkan sistem mendeteksi berbagai jenis sampah seperti plastik, kaca, logam, karton, kertas, dan sampah organik secara langsung melalui kamera dengan waktu respons yang cepat. Hasil penelitian menunjukkan bahwa kombinasi DenseNet121 dan OpenCV mampu menghasilkan sistem deteksi sampah real-time yang akurat dan efisien sehingga berpotensi diterapkan pada sistem pengelolaan sampah cerdas (smart waste management) maupun proses pemilahan sampah otomatis..
Edukasi Dan Sosialisasi Pentingnya Adaptasi Teknologi AI Dalam Pembelajaran Munaldi Munaldi; Yono Cahyono; Ahmad Arifin
AMMA : Jurnal Pengabdian Masyarakat Vol. 5 No. 8 : September (2026): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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The development of information technology, particularly Artificial Intelligence (AI), has significantly influenced various aspects of life, including education. Although its use continues to generate debate among academics, AI has considerable potential to improve the efficiency and effectiveness of learning. This community service activity aimed to provide education and raise awareness regarding the importance of adapting AI technology in learning. The activity focused on introducing the basic concepts, benefits, and appropriate and responsible use of various AI-based tools. This technology can help educators access learning resources more easily, present interactive materials, provide feedback, and analyze students’ needs to support more personalized learning. The availability of mobile devices also enables broader and more flexible access to AI technology. This educational and awareness-raising activity was expected to enhance participants’ understanding, readiness, and awareness in utilizing AI as a learning support tool. Therefore, the responsible adaptation of AI technology can contribute to improving student engagement and the overall quality of the learning process and outcomes.
Co-Authors Adi Saputra Ahmad Arifin Ardianto Abdul Moenir Arif Hidayat Candra Purnama dede muhtar safari Fedrian Malik Iskandar Irpan Kusyadi mohadib mohadib Mohammad Arfan Maulana Muhammad Fadillah Ilham Muhammad Firli Fadilah Muhammad Iqbal Fauzi Muhammad Zidni Ilman Munaldi Munaldi Nurul Khairani Perani Rosyani Rama Maulana Rian Putra Ananda Saddad Nabbil Saprudin Saprudin