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All Journal Jurnal Edukasi dan Penelitian Informatika (JEPIN) Jurnas Nasional Teknologi dan Sistem Informasi Sistemasi: Jurnal Sistem Informasi Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Building of Informatics, Technology and Science Jurnal Ekonomi Manajemen Sistem Informasi Jurnal Informasi dan Teknologi CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Jurnal E-Komtek JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Jurnal Bakti Masyarakat Indonesia Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Jurnal Restikom : Riset Teknik Informatika dan Komputer Jurnal Computer Science and Information Technology (CoSciTech) IICS KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Info Sains : Informatika dan Sains Jurnal Pengabdian Kepada Masyarakat Abdi Nusa Jurnal Pengabdian Kepada Masyarakat Abdi Putra International Journal Engineering and Applied Technology (IJEAT) Jurnal Pengabdian Masyarakat Bhinneka JEECS (Journal of Electrical Engineering and Computer Sciences) Prosiding Seminar Nasional Rekayasa dan Teknologi (TAU SNAR- TEK) Indonesian Journal of Community Empowerment Kesatria : Jurnal Penerapan Sistem Informasi (Komputer dan Manajemen) Prosiding SENTIMETER : Seminar Nasional Teknologi Informasi, Mekatronika, dan Ilmu Komputer
Kamdan
Universitas Nusa Putra
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 Law, Crime, Criminology & Criminal Justice Mechanical Engineering Public Health Social Sciences Other

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Sistem Identifikasi Cerdas: Integrasi IOT dengan YOLOv8 Untuk Identifikasi Visual Kerusakan Dinding Bangunan Kamdan, Kamdan; Somantri, Somantri; Rohmat, Satria Rizki; Gumelar, Agung; Kharisma, Ivana Lucia
Building of Informatics, Technology and Science (BITS) Vol 7 No 2 (2025): September 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v7i2.7882

Abstract

Damage to non-structural building elements, particularly walls, can serve as an early indicator of more serious structural issues. Manual crack identification is often time-consuming, subjective, and lacks consistency. This study develops an automated identification system based on computer vision using the YOLOv8 architecture, integrated with Internet of Things (IoT) technology through the ESP32-CAM device. The system is designed to visually detect and classify wall damage into light, moderate, or severe categories based on field-captured images. The model was trained and evaluated using the confusion matrix metric to assess its classification performance. The test results show that the system achieved a solid performance with an mAP@50 score of 0.822 and a stricter mAP@50-95 score of 0.522, indicating the system’s strong capability in detecting damage objects with a good level of precision. The implementation of this system is expected to support building inspection processes in a more standardized, objective, and sustainable manner, and assist in decision-making regarding building maintenance and repair.
Penerapan Algoritma Decision Tree untuk Ulasan Aplikasi Vidio di Google Play Kharisma, Ivana Lucia; Septiani, Dhea Ayu; Fergina, Anggun; Kamdan, Kamdan
Jurnal Nasional Teknologi dan Sistem Informasi Vol 9 No 2 (2023): Agustus 2023
Publisher : Departemen Sistem Informasi, Fakultas Teknologi Informasi, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/TEKNOSI.v9i2.2023.218-226

Abstract

Aplikasi berbasis video streaming atau siaran langsung menjadi jenis aplikasi paling banyak digunakan di dunia. Video On Demand merupakan sistem interaktif yang memungkinkan kita memilih konten video yang akan ditonton. Vidio adalah portal online atau situs web streaming video yang didirikan pada tahun 2014. Situs web ini memungkinkan pengguna untuk menonton dan menikmati berbagai video dan layanan lain. Namun, berdasarkan ulasan di Google Play, Vidio mendapatkan rating rata-rata hanya sebesar 3.7 dari 623.000 lebih total ulasan. Hal tersebut yang mendorong dilakukannya penelitian ini. Data yang dikumpulkan adalah sebanyak 1000 data pada rentang waktu 2 Februari 2023 – 19 Februari 2023. Data tersebut diklasifikasikan ke dalam sentimen positif dan negatif menggunakan algoritma Decision Tree atau Pohon Keputusan. Berdasarkan 3 skenario pembagian data, didapatkan akurasi terbesar diperoleh dari pembagian data 80% data latih dan 20% data uji yaitu sebesar 97.3%. sedangkan pada skenario pembagian data 70:30, akurasinya 96.8%, dan pembagian data 90:10 akurasinya sebesar 96.8%. Dari akurasi yang telah diperoleh, untuk evaluasi pengujian model, penelitian ini menggunakan Confusion Matrix atau Matriks Kebingungan. Agar prediksi dari model yang telah dilatih agar tersedia untuk orang lain, penelitian ini melakukan model deployment menggunakan Streamlit.
Implementation of Deep Neural Network in the Design of Ethereum Blockchain Scam Token Detection Applications Pamungkas, Dimas Arya; Kharisma, Ivana Lucia; Simatupang, Dwi Sartika; Kamdan, Kamdan
Sistemasi: Jurnal Sistem Informasi Vol 12, No 3 (2023): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v12i3.3162

Abstract

The popularity of blockchain continues to increase as technology develops, especially in the context of Ethereum as one of the leading blockchain platforms. However, this increase was also followed by many cases of fraud, especially in the form of tokens. In blockchain technology, tokens often refer to cryptocurrencies or digital currencies used as a means of exchange related to a particular project or platform. This research designs and builds an application system that can detect scam crypto tokens on the Ethereum blockchain, specifically for the ERC-20 (Ethereum Request for Comments 20) token type, which was proposed by Fabian Vogelsteller in November 2015, is a token standard that implements APIs for tokens. in Smart Contracts. Making a scam detection application implements the deep learning method with the Deep Neural Network (DNN) algorithm and evaluates performance using two test scenarios by dividing the dataset into three ratios of training data and test data. The output of the application is JSON-RPC which is integrated with the website. In testing the DNN model, using 80% training data and 20% test data, the DNN algorithm provides an accuracy of 0.997558%. Furthermore, system testing was carried out involving various scenarios to verify its functionality, including input validation, data extraction, DNN prediction, and display of prediction results, which gave good results from the system created. The application has succeeded in identifying scam tokens with high accuracy. , increasing user security in crypto transactions.
Pemanfaatan Teknologi dalam Penerapan Presensi Digital Berbasis QR-Code Di SDN Gunung Cabe Desa Cimaja Agung, Dede; Kharisma, Ivana Lucia; Insany, Gina Purnama; Kamdan; Rahman, Wigi Januar; Purba, Raihan Lutfhi; Delia Nur Annisa, Delia Nur; Zakaria, Muhammad Maulana; Yansah, Ardi
Jurnal Bakti Masyarakat Indonesia Vol. 6 No. 3 (2023): Jurnal Bakti Masyarakat Indonesia
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jbmi.v6i3.26721

Abstract

In the current era, technology is considered a basic need that can make various jobs easier, including in the field ofeducation. However, knowledge about the use of technology is still uneven, especially in the educational context.Cimaja Village is a relatively advanced village where the people have a high interest in higher education. AtGunung Cabe Elementary School, student attendance is still recorded by recording in a book, referring to the use ofa paper calendar and keeping a physical attendance book. Recording with this system is susceptible to the risk ofdamage and loss of documents. Therefore, the Cimaja village KKN team created a digital attendance recordingsystem by implementing QR-Code technology which is connected to the student database. The aim of this activity isto simplify and increase the efficiency of the student attendance process with greater accuracy and speed. Apartfrom that, attendance results can be accessed mobile. The implementation of QR-Code based digital attendance isconsidered more effective than the manual attendance method using a book. During its implementation, teachersand students will gain new knowledge about the use of technology in QR-Code based digital attendance, as well asdevelop new skills in using the system. Thus, it can be concluded that this PKM activity has succeeded in changingthe situation for partners, namely SDN Gunung Cabe, through the implementation of presence using QR-Code. Theuse of this technology makes a positive contribution in increasing the efficiency and effectiveness of studentattendance management at school. ABSTRAK: Dalam era saat ini, teknologi dianggap sebagai kebutuhan pokok yang dapat mempermudah berbagai pekerjaan,termasuk dalam bidang pendidikan. Namun, pengetahuan tentang pemanfaatan teknologi masih belum merata,terutama dalam konteks pendidikan. Desa Cimaja merupakan desa yang tergolong maju dimana masyarakatnyamemiliki minat yang tinggi terhadap pendidikan yang tinggi. Pada SDN Gunung Cabe, pencatatan presensi siswamasih dilakukan dengan cara mencatat pada buku, mengacu pada penggunaan kalender kertas serta menyimpanbuku absensi secara fisik. Pencatatan dengan sistem ini rentan terhadap risiko kerusakan dan kehilangan dokumen.Oleh karena itu, tim KKN desa Cimaja membuat sebuah sistem pencatatan presensi secara digital denganmenerapkan teknologi QR-Code yang terkoneksi dengan database siswa. Tujuan dari kegiatan ini adalah untukmempermudah dan meningkatkan efisiensi proses presensi siswa dengan akurasi dan kecepatan yang lebih tinggi.Selain itu, hasil presensi dapat diakses secara mobile. Implementasi presensi digital berbasis QR-Code ini dianggaplebih efektif daripada metode presensi manual menggunakan buku. Selama pelaksanaannya, guru dan siswa akanmendapatkan pengetahuan baru tentang pemanfaatan teknologi dalam presensi digital berbasis QR-Code, sertamengembangkan keterampilan baru dalam menggunakan sistem tersebut. Dengan demikian, dapat disimpulkanbahwa kegiatan PKM ini berhasil mengubah keadaan pada mitra, yaitu SDN Gunung Cabe, melalui penerapanpresensi menggunakan QR-Code. Penggunaan teknologi ini memberikan kontribusi positif dalam meningkatkanefisiensi dan efektivitas manajemen kehadiran siswa di sekolah.
INSTALASI DAN OPTIMALISASI JARINGAN INTERNET DENGAN MENGGUNAKAN KABEL FO DI PT REGYNET DATA SOLUSINDO Neva, Talitha Nirmala; Kharisma, Ivana Lucia; Kamdan, Kamdan
MAJU : Indonesian Journal of Community Empowerment Vol. 2 No. 6 (2025): MAJU : Indonesian Journal of Community Empowerment, November 2025
Publisher : Lembaga Pendidikan dan Penelitian Manggala Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62335/maju.v2i6.1476

Abstract

This report discusses internship activities carried out at PT Regynet Data Solusindo, an internet service provider company based on fiber optic (Fiber to the Home/FTTH). The purpose of this internship is to apply the knowledge that has been obtained during lectures in the Informatics Engineering study program, especially in the field of computer networks. Students are directly involved in the process of installation, optimization, and troubleshooting of customer internet networks. The implementation methods used include observation, interviews, documentation studies, and direct participation. In practice, students learn to use various network devices such as ONT, ODP, OPM, and OTDR, and understand the technical flow from installation to activation of internet services. In addition to the technical aspects, this activity also provides an understanding of the importance of professional ethics and professionalism in the field. The results of this internship activity show that direct involvement in the world of work can strengthen students' understanding of the theories learned in class while increasing their readiness to face the industrial world.  
Co-Authors adang badru jaman,anggun fergina, adang badru jaman,anggun fergina Adhitia Erfina Adisti Ridha Ramadhan Agung Gumelar AGUNG, DEDE Alamsyah, Zaenal Algifari, M. Alwan Alun Sujjada Alun Sujjada Alun Sujjada Andi Nopiandi Any Elvia Jakfar Atikah Mugiyanti Ayu Lestari, Melani Azkal Khalif Berniman Gofindo Malau Bibin Aripin Chelika Patricia Handraputri Dava Febrian Dava, Dava Febrian Dede Sukmawan Delia Nur Annisa, Delia Nur Dewi Puspitasari Dhea Ayu Septiani Dwi Sartika Simatupang Firdaus, Asep Rizki Fitri Ramadani, Rizka Galih Rakasiwi Galuh Ratna Putri Gilang Rizki Padilah Gina Purnama Insany Gina Purnama Insany Gina Purnama Insany Gunawan, Muhamad Sahrul Hafidzh Al Muhiddin, Muhammad Hari, Rizki Dini Hermanto Hermanto Hermanto Ibnu Sina, Rivaldi Ibrahim Cahya Gumilar Ihsan Septian, Firdaus Ika ika Indra Yustiana Insany, Gina Purnama Ira Rohimah IVANA LUCIA KHARISMA Jihad Taqwana, Friendly Juan Cerah Joseph Khairiyah Ivanka, Najwa Kharisma, Ivana Lucia Kustandi, Agus Lucia Kharisma, Ivana M. Sarhan Akasah Mamun, Yuliana Maulana Yusuf Meylinda Nuryani Moh. Abd. Aziz Hidayat Moh. Iqbal Maulana Muhamad Galih Sundayana Muhamad Iqbal Ramadhan Muhammad Azmi Fauzan Muhammad Dzulqarnain, Fajar Muhammad Ikhsan Thohir Mulyana, Azril Munandar, Rifki Arief Muslih, Muhamad Mutiara Annisa Tresna Ati Nasrulloh, Dendi Natanael, Brillian Aji Natasya, Sandra Neng Syahla Nida Khofifah Neva, Talitha Nirmala Nugraha Nuraiman Nuraini, Desti Nurcahya Sumirat, Hana Padilah Qurani, Intan Paikun Pamungkas, Dimas Arya Perkasa, M. Juang Pajri Prayoga , Rizki Haddi Purba, Raihan Lutfhi Purnama Insany, Gina Putri Iskandar, Alyanissa Putri, Hanifa Rahman, Wigi Januar Raka Adriel Maheza Ramdan Alkausar, Ryan Ramdan, Hari Muhammad Reza Agustian Kusnadi Rismi Nurlaely Rizki Firdaus, Asep Rizki Haddi Prayoga Rizki Padilah, Gilang Rizqy Mawardi Rohmat, Satria Rizki Sahira, Sarah Sakti Aji Salman Alhidamkara Sanulqi, Ihsan Sebayang, Alvin Christoper Sembiring, Rinawati Septian, Muhammad Ardhi Septiani, Dhea Ayu Serliani, Siska Meyisa Amelia Setiana Andika Putra Setiawati Siti Olis Somantri Somantri Somantri Somantri Somantri, Somantri Suhendar Suhendar Tasliyatunadiyah, Latifah Teguh Gumelar Tofik Hidayat Tresna Ati, Mutiara Annisa Wardin Hia, Srifen Wigi Januar Rahman Wilda Widyana Yansah, Ardi Yasin, Fakhriyal Riyandi Yusup Solehudin Yusup Solehudin Zakaria, Muhammad Maulana Zaki Hibatullah, Muhammad Zalukhu, Eliadi Zulia Nur Permatasari zulianp