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All Journal Jupiter Jurnal Informatika Jurnal sistem informasi, Teknologi informasi dan komputer Sistemasi: Jurnal Sistem Informasi Journal of Information Systems and Informatics TIN: TERAPAN INFORMATIKA NUSANTARA Pelita Masyarakat Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) Jurnal Nasional Ilmu Komputer KLIK: Kajian Ilmiah Informatika dan Komputer JPNM : Jurnal Pustaka Nusantara Multidisiplin Jurnal Ilmiah Betrik : Besemah Teknologi Informasi dan Komputer Jurnal Buana Kata: Pendidikan, Bahasa, dan Ilmu Komunikasi Jurnal Informatika Dan Tekonologi Komputer
Heri Suroyo
Universitas Bina Darma
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Analisa Data Radiosonde Dengan Menggunakan Bahasa Pemrograman Phyton Apriadi; Heri Suroyo
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 4 No. 2 (2023): Oktober 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v4i2.1278

Abstract

The results of this research are flying a radiosonde sensor using a 200g Totex balloon to determine the extreme point of the Planetary Boundary Layer using the potential temperature gradient method from radiosonde sensor data and knowing the procedure for using a radiosonde tool to obtain radiosonde sensor height estimation data and atmospheric layer data This produces extreme points from different atmospheric boundary layers, the extreme point is located at an altitude of 19,000 to 27,000 with the lowest potential temperature value at 0.047593746 to the highest at 0.349642987. then the results of the extreme points from the Planetary Boundary Layer will be graphed using Phyton coding to get accurate extreme points. And the benefit of this research is to obtain information about the Planetary Boundary Layer in fire-prone areas and can also be used by climatologists and Planetary Boundary Layer (PBL) researchers using radiosondes in Indonesia.
SISTEM INFORMASI KELURAHAN AIRBATU KABUPATEN BANYUASIN BERBASIS WEB Savana Salsabilla; Heri Suroyo
JURNAL ILMIAH BETRIK Vol. 14 No. 02 AGUSTUS (2023): JURNAL ILMIAH BETRIK : Besemah Teknologi Informasi dan Komputer
Publisher : P3M Institut Teknologi Pagar Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36050/betrik.v14i02 AGUSTUS.136

Abstract

Pengajuan permohonan yang dilakukan secara konvensional di Kelurahan Airbatu sering kali menyebabkan keluhan masyarakat karena harus membawa data pribadi ke kantor kelurahan untuk melakukan pendaftaran. Tujuan dari penelitian ini adalah untuk membangun aplikasi yang dinamis pada Kelurahan Aibatu, Kabupaten Banyuasin dan menerapkan metode prototype dalam pengembangan aplikasi web paad kantor Kelurahan Airbatu, Kabupaten Banyuasin. Metode penelitian yang dikembangkan melalui model prototype dan five plane untuk mendapatkan umpan-balik dari user agar website memiliki pemanfaatan yang tepat guna. Hasil penelitian menunjukan bahwa pengimplementasian dari website Kelurahan Airbatu telah menciptakan efektivitas yang baik dari segi pengajuan permohonan dari masyarakat, terutama pada permohonan SKTM (Surat Keterangan Tidak Mampu), SKU (Surat Keterangan Usaha), dan SKD (Surat Keterangan Domisili).
Implementasi Support Vector Machine untuk Klasifikasi Laporan Gangguan Layanan Pelanggan Korporat Syahrul Ramadhan; Heri Suroyo
TIN: Terapan Informatika Nusantara Vol 6 No 12 (2026): May 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/tin.v6i12.9704

Abstract

This study aims to develop a classification model based on Support Vector Machine (SVM) to identify and categorize service completion levels of corporate customer service disruptions at PT. Telkom Indonesia, South Sumatra Telecommunication Region. Research data was obtained directly from the Helpdesk Assurance CCAN Unit during the period of October 2023 to January 2024, comprising a total of 854 entries. The target variable used is the service completion level, while the feature variables include service type, repair type, and work duration. The entire research process follows the Cross Industry Standard Process for Data Mining (CRISP-DM) framework, covering business understanding, data understanding, data preparation, modeling, evaluation, and deployment stages. Data preparation included feature selection, label encoding, scale normalization, and an 80:20 data split. The model was built using SVM with a linear kernel and active probability configuration. Evaluation results demonstrate an accuracy of 98.25%, a log loss value of 0.0200, and a perfect Area Under Curve value of 1.00 for all classes. The work duration variable proved to be the most influential factor with a correlation value of 0.91 against the target variable. The resulting model has been saved in binary file format, making it ready for practical implementation in real operational environments.
Smart AI Chatbot Deteksi Saluran Air Tercemar di Mayarakat Mgs M Fadjar Siddik; Heri Suroyo
JPNM Jurnal Pustaka Nusantara Multidisiplin Vol. 4 No. 1 (2026): February : Jurnal Pustaka Nusantara Multidisiplin (ACCEPTED)
Publisher : SM Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59945/jpnm.v4i1.977

Abstract

Pencemaran saluran air di lingkungan perkotaan merupakan permasalahan serius yang berdampak pada kesehatan masyarakat, risiko banjir, serta penurunan kualitas lingkungan. Proses pemantauan yang masih didominasi metode manual dinilai kurang efisien, tidak konsisten, dan sulit diterapkan pada wilayah yang luas. Penelitian ini bertujuan mengembangkan sistem identifikasi saluran air tercemar berbasis kecerdasan buatan melalui integrasi model computer vision dan pemrosesan bahasa alami IndoBERT. Metode penelitian yang digunakan adalah penelitian pengembangan (research and development) dengan pendekatan eksperimental. Data penelitian berupa citra saluran air perkotaan yang diklasifikasikan ke dalam beberapa tingkat pencemaran, dilengkapi dengan deskripsi teks sebagai data pendukung. Model vision digunakan untuk mendeteksi dan mengklasifikasikan kondisi visual saluran air, sedangkan IndoBERT dimanfaatkan untuk menghasilkan interpretasi deskriptif dan respons chatbot berbasis bahasa Indonesia. Hasil penelitian menunjukkan bahwa sistem mampu mengidentifikasi tingkat pencemaran saluran air dengan akurasi yang tinggi serta memberikan penjelasan tekstual yang informatif dan mudah dipahami. Integrasi model citra dan NLP terbukti meningkatkan efektivitas pemantauan lingkungan dibandingkan metode konvensional. Penelitian ini diharapkan dapat menjadi solusi inovatif dalam mendukung pengelolaan saluran air dan pengembangan sistem smart city berkelanjutan.
ANALISIS PENGUJIAN WEB APLIKASI E-BAPPEDA DISPOSISI SURAT ONLINE PADA BAPPEDA PROVINSI SUMATERA SELATAN MENGGUNAKAN GOOGLE LIGHTHOUSE DAN METODE BLACK BOX TESTING. Hermalia Putri; Heri Suroyo
Jurnal Buana Kata: Pendidikan, Bahasa, dan Ilmu Komunikasi Vol. 3 No. 3 (2026): Jurnal Buana Kata: Pendidikan, Bahasa, dan Ilmu Komunikasi
Publisher : Laboratorium Pembelajaran Bahasa, FKIP Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/buanakata.v3i3.2206

Abstract

Perkembangan teknologi informasi mendorong instansi pemerintah untuk menerapkan sistem informasi berbasis web guna meningkatkan efektivitas dan efisiensi pelayanan administrasi. Salah satu implementasinya adalah aplikasi E-BAPPEDA Disposisi Surat Online pada BAPPEDA Provinsi Sumatera Selatan yang digunakan untuk mengelola proses disposisi surat secara elektronik. Penelitian ini bertujuan untuk menganalisis kualitas aplikasi dari aspek performa dan fungsionalitas menggunakan Google Lighthouse dan Black Box Testing. Metode penelitian yang digunakan adalah metode deskriptif dengan pendekatan kuantitatif. Pengujian Google Lighthouse dilakukan untuk mengukur aspek Performance, Accessibility, Best Practices, dan SEO, sedangkan Black Box Testing digunakan untuk menguji fungsi-fungsi utama aplikasi berdasarkan skenario pengujian yang telah dirancang. Hasil pengujian Black Box Testing menunjukkan bahwa seluruh fitur utama, yaitu login, login dengan data tidak valid, registrasi akun, input data surat, disposisi surat, pencarian surat, dan logout memperoleh status valid, sehingga seluruh fungsi aplikasi berjalan sesuai dengan spesifikasi yang telah ditetapkan. Sementara itu, hasil pengujian Google Lighthouse menunjukkan bahwa aplikasi memiliki tingkat kualitas yang baik berdasarkan aspek yang diuji, meskipun masih terdapat beberapa rekomendasi optimasi untuk meningkatkan performa aplikasi. Berdasarkan hasil penelitian, dapat disimpulkan bahwa aplikasi E-BAPPEDA Disposisi Surat Online telah memenuhi aspek fungsionalitas dan memiliki kualitas yang baik sehingga layak digunakan untuk mendukung proses administrasi disposisi surat secara elektronik di BAPPEDA Provinsi Sumatera Selatan.   The rapid development of information technology has encouraged government institutions to implement web-based information systems to improve the effectiveness and efficiency of administrative services. One such implementation is the E-BAPPEDA Online Letter Disposition application at the Regional Development Planning Agency (BAPPEDA) of South Sumatra Province, which is used to manage the electronic letter disposition process. This study aims to analyze the quality of the application in terms of performance and functionality using Google Lighthouse and Black Box Testing. The research employed a descriptive method with a quantitative approach. Google Lighthouse testing was conducted to evaluate the application's Performance, Accessibility, Best Practices, and SEO, while Black Box Testing was used to assess the main functionalities of the application based on predefined test scenarios. The Black Box Testing results indicate that all primary features—including login, login with invalid credentials, account registration, letter data entry, letter disposition, letter search, and logout—were validated successfully, demonstrating that all application functions operate in accordance with the specified requirements. Meanwhile, the Google Lighthouse evaluation shows that the application has good overall quality across the assessed aspects, although several optimization recommendations remain to further improve its performance. Based on the findings, it can be concluded that the E-BAPPEDA Online Letter Disposition application meets the functional requirements and demonstrates good quality, making it suitable for supporting the electronic administration of letter disposition processes at the Regional Development Planning Agency (BAPPEDA) of South Sumatra Province.
Perancangan Alat Deteksi Kebakaran Berbasis IoT dengan Evaluasi Precision-Recall dan End-To-End Delay Femas Satria; Muhammad Izman Herdiansyah; Heri Suroyo; Nia Oktaviani
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 5 No. 3 (2025): November : Jurnal Informatika dan Tekonologi Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v5i3.8106

Abstract

Fires are disasters that can occur suddenly and cause significant losses to both human lives and property. Conventional detection systems are generally limited to smoke or temperature alarms, making them less accurate and often slow in providing warnings. This study aims to design and implement an Internet of Things (IoT)-based fire detection system capable of providing real-time early fire warnings. The system employs an ESP32 microcontroller connected to a DHT22 sensor to measure temperature and humidity, an MQ-2 sensor for flammable gas detection, and a flame sensor for direct flame detection. Sensor data are transmitted to the Firebase Real-time Database and forwarded as automatic notifications via the Telegram application. Testing was conducted on 400 data samples covering both fire and non-fire conditions, with performance evaluation using Precision, Recall, Accuracy metrics, and End-to-End Delay measurement. The results show an accuracy of 91%, precision of 88.55%, recall of 93.19%, and an average notification delivery delay of 2.804 seconds. These findings indicate that the system can detect fires effectively and responsively on a small scale, with potential for further development through additional sensors and testing in more complex environments.
Pengembangan Sistem Pendaftaran dan Pengelolahan Laporan Magang di Kominfo Kota Palembang Berbasis Website Menggunakan Next Js dan Express Muhammad Samsu Hidayattullah; Muhammad Izman Herdiansyah; Heri Suroyo; Ade Putra
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 5 No. 3 (2025): November : Jurnal Informatika dan Tekonologi Komputer
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v5i3.8397

Abstract

This study aims to develop a web-based information system for internship registration and report management at the Palembang City Communication and Informatics Office. Previous studies have developed internship information systems that generally focus on online registration, document submission, certificate generation, academic administration, and notification features. However, existing systems typically do not include secure account verification, structured daily logbook monitoring, or integrated role-based data management tailored for government institutions. These limitations create a gap that this study addresses by developing a more comprehensive and transparent internship management solution. A descriptive qualitative approach was used through interviews and observations, and a prototyping model guided the system development process. The system was built using Next.js, Express.js, MongoDB, JSON Web Token (JWT), Nodemailer, and Tailwind CSS, with features such as online registration, document upload, account verification, daily logbook submission, final report upload, and role-based access for admins and supervisors. Implementation results show improvements in administrative speed, communication, data accuracy, and transparency compared to manual processes. Overall, the system supports a more modern, efficient, and structured internship management process within government institutions.
Co-Authors Ade Kemala Jaya Ade Putra Ahmad Syazili Alek Wijaya Apriadi Arfiandy Darius Antoni Deni Erlansyah Dwi Puji Rahmat Fauzan Azhiman Femas Satria Ferry Kurniawan Herdiansyah, M. Izman Hermalia Putri Mario Hagi Merrieayu Puspita Hannah Mgs M Fadjar Siddik Muhammad Samsu Hidayattullah Nisa Rara Novita Anggraini Nurul Adha Oktarini Saputri Okta Fanny Oktaviana Karunia Ilahi Oktaviani, Nia Rahmat Novrianda D Rasmila Rolia Wahasusmiah Savana Salsabilla Syahrul Ramadhan Taqrim Ibadi Usman Ependi Yukos Pratama Zaid Amin