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All Journal TEKNIK INFORMATIKA JURNAL DERIVAT: JURNAL MATEMATIKA DAN PENDIDIKAN MATEMATIKA Infotech Journal JUPITER (Jurnal Pendidikan Teknik Elektro) CESS (Journal of Computer Engineering, System and Science) SMATIKA Jurnal Informatika Upgris Fountain of Informatics Journal JOURNAL OF APPLIED INFORMATICS AND COMPUTING International Journal of Technology And Business Khadimul Ummah Journal of Social Dedication Jurnal Inotera JSiI (Jurnal Sistem Informasi) JURNAL MANAJEMEN (EDISI ELEKTRONIK) IJISTECH (International Journal Of Information System & Technology) Shirkah: Journal of Economics and Business Indonesian Journal of Applied Informatics Simtek : Jurnal Sistem Informasi dan Teknik Komputer Progresif: Jurnal Ilmiah Komputer Indonesian Journal of Community Services Jurnal Informatika dan Rekayasa Elektronik Generation Journal JATI (Jurnal Mahasiswa Teknik Informatika) INFORMASI (Jurnal Informatika dan Sistem Informasi) Jurnal Sistem Komputer & Kecerdasan Buatan G-Tech : Jurnal Teknologi Terapan TIN: TERAPAN INFORMATIKA NUSANTARA Infotech: Journal of Technology Information Journal of Computer Networks, Architecture and High Performance Computing Infokes : Jurnal Ilmiah Rekam Medis dan Informasi Kesehatan Idealis : Indonesia Journal Information System SKANIKA: Sistem Komputer dan Teknik Informatika IJISTECH Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Infotech: Jurnal Informatika & Teknologi International Journal of Community Service International Conference on Industrial Revolution for Polytechnic Education Buletin Sistem Informasi dan Teknologi Islam Jurnal Ilmu Komputer dan Teknologi (IKOMTI) Jurnal Teknik Silitek Jurnal Informatika Teknologi dan Sains (Jinteks) Journal of Management and Digital Business Duta.com : Jurnal Ilmiah Teknologi Informasi dan Komunikasi Prosiding Seminar Nasional Hasil-hasil Penelitian dan Pengabdian Pada Masyarakat Duta Abdimas: Jurnal Pengabdian Masyarakat Proceeding of International Conference Health, Science And Technology (ICOHETECH) LOFIAN: Jurnal Teknologi Informasi dan Komunikasi Innovative: Journal Of Social Science Research Prosiding Seminar Informasi Kesehatan Nasional Journal Of Artificial Intelligence And Software Engineering Jurnal INFOTEL Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi SmartComp Smatika Jurnal : STIKI Informatika Jurnal
Nurchim Nurchim
Universitas Duta Bangsa Surakarta
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Klasifikasi Ancaman Keamanan Siber Menggunakan Algoritma Naive Bayes Irwan Budianto; Nurchim Nurchim; Hanifah Permatasari
IJAI (Indonesian Journal of Applied Informatics) Vol 9, No 2 (2025)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijai.v9i2.104668

Abstract

Abstrak : Saat ini keamanan siber menjadi permasalahan utama didalam tata kelola keamanan informasi Pemerintah Daerah. Untuk mencegah terjadinya kerugian akibat serangan siber maka perlu dilakukan identifikasi dan klasifikasi terhadap ancaman siber secara cepat dan akurat. Sehingga diperlukan sebuah system untuk mengklasifikasikan ancaman siber yang terjadi. Penelitian ini adalah membangun sistem klasifikasi ancaman keamanan siber menggunakan algoritma Naive Bayes sehingga dapat dilakukan analisis data ancaman secara efektif dan mengklasifikasikan jenis ancaman dengan akurasi yang tinggi. Metode yang digunakan adalah pengumpulan dataset terkait log aktifitas serangan yang terekam di aplikasi Wazuh. Selanjutnya dilakukan preprocessing data untuk mendapatkan atribut yang sesuai dengan kebutuhan sistem. Penerapan algoritma Naive Bayes digunakan sebagai metode klasifikasi berdasarkan probabilitas atribut terhadap kategori ancaman. Hasil penelitian menunjukkan bahwa algoritma Naive Bayes mampu mengklasifikasikan ancaman keamanan siber dengan akurasi yang baik, sehingga dari system yang dibangun dapat ditentukan bahwa serangan yang terjadi pada area sistem operasi server atau aplikasi web serta mampu memberikan dukungan pengambilan keputusan yang lebih cepat dalam mitigasi serangan. Hasil pengujian menunjukkan performa yang sangat baik dari model Naive Bayes pada kedua kelas yaitu presisi=0.98, recall=1, f1-score=0.99, support=57.===================================================Abstract :Currently, cybersecurity is a major problem in the governance of regional government information security. To prevent losses due to cyber attacks, it is necessary to identify and classify cyber threats quickly and accurately. So a system is needed to classify cyber threats that occur. This study is to build a cybersecurity threat classification system using the Naive Bayes algorithm so that threat data analysis can be carried out effectively and classify types of threats with a high level of accuracy. The method used is collecting datasets related to attack activity logs recorded in the Wazuh application. Furthermore, data preprocessing is carried out to obtain attributes that match system needs. The Naive Bayes algorithm is implemented as a classification technique that evaluates the probability of attributes relative to threat categories. The findings indicate that this algorithm effectively categorizes cybersecurity threats with high accuracy. Consequently, the developed system can identify whether an attack targets the server operating system or the web application, while also enabling faster decision-making to support attack mitigation. The Naive Bayes model performs exceptionally well in both classes according to the test results, with precision=0.98, recall=1, f1-score=0.99, and support=57.
Analisis Perbandingan Metode Yolo Dan Faster R-CNN Dalam Deteksi Objek Manusia Muhammad Ilham Pratama; Nurchim Nurchim; Eko Purwanto
Progresif: Jurnal Ilmiah Komputer Vol 21, No 2 (2025): Agustus
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v21i2.2890

Abstract

Human object detection is an important component in surveillance systems, behavior analysis, and crowd management in public spaces such as stadiums, shopping malls, and terminals. However, the detection process often faces obstacles such as inconsistent lighting, complex backgrounds, and high object density. This study aims to compare the performance of two object detection algorithms, namely YOLOv10 and Faster R-CNN, in detecting humans. The dataset used is uniform and covers a wide range of environmental conditions to ensure fair and objective evaluation. This research involves the stages of data collection, pre-processing, model training, testing, and performance evaluation. The test results show that YOLOv10 has a performance advantage with an mAP50 value of 0.75, higher than that of Faster R-CNN which obtained an AP50 of 0.67. Based on these findings, YOLOv10 is recommended for use in applications that require real-time human detection with a high level of accuracy.Kata kunci: YOLOV10; Faster R-CNN; Object Detection AbstrakDeteksi objek manusia merupakan komponen penting dalam sistem pengawasan, analisis perilaku, dan pengelolaan keramaian di ruang publik seperti stadion, pusat perbelanjaan, dan terminal. Namun, proses deteksi sering menghadapi kendala seperti pencahayaan yang tidak konsisten, latar belakang kompleks, dan kepadatan objek tinggi. Penelitian ini bertujuan buat membandingkan kinerja dua algoritma deteksi objek, yaitu YOLOv10 dan Faster R-CNN, dalam mendeteksi manusia. Dataset yang digunakan bersifat seragam dan mencakup berbagai kondisi lingkungan untuk memastikan evaluasi yang adil dan objektif. Penelitian ini melibatkan tahapan pengumpulan data, pra-pemrosesan, pelatihan model, pengujian, dan evaluasi performa. Hasil pengujian menunjukkan bahwa YOLOv10 memiliki keunggulan performa dengan nilai mAP50 sebesar 0,75, lebih tinggi dibandingkan Faster R-CNN yang memperoleh AP50 sebesar 0,67. Berdasarkan temuan tersebut, YOLOv10 direkomendasikan untuk digunakan dalam aplikasi yang membutuhkan deteksi manusia secara real-time dengan tingkat akurasi tinggi.Kata kunci: YOLOV10; Faster R-CNN; Deteksi Objek 
Rancang Bangun Sistem Monitoring Lingkungan Pada Kandang Sapi Berbasis Internet of Things Untoro, Fendi; Nurchim, Nurchim; Pramono, Pramono
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 15 No 01 (2025): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM Universitas Bhinneka Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v15i01.1404

Abstract

Cows are livestock that are generally kept by the community, especially in rural areas. According to data from the Central Statistics Agency (BPS), in 2021 the beef cattle population reached 17,977,214, an increase compared to the previous year which was recorded at 17,440,393. Environmental factors in cow sheds can directly affect livestock, causing stress due to extreme temperatures, both hot and cold, resulting in decreased feed consumption and discomfort. High levels of ammonia gas from cow dung waste can affect cow resistance to disease and reduce cow productivity and can cause health problems for the surrounding community. This study aims to design an Internet of Things (IoT)-based cow shed environmental monitoring system. The method in this study uses several stages, namely data collection, needs analysis, design, planning and testing. The system created can monitor temperature, humidity and ammonia gas in the cow shed environment and display this information on a mobile application. In the mobile application, information from sensor values ​​can be displayed in high, medium, and low categories during monitoring. The tool testing technique was carried out with 10 samples, the results showed that the temperature detector had an accuracy level of 91.13%, the humidity detector showed a value of 94.52% and the ammonia gas detector showed the highest value of 34.8 ppm at a distance of 10 cm and the smallest of 6.6 ppm at a distance of 100 cm. The results of this study indicate that the developed IoT system is effective in monitoring important parameters such as temperature, humidity, and ammonia gas in real-time. This can increase efficiency for farmers in monitoring environmental conditions in the cage, which was previously done manually.
From Zero Sales to Survival: Forecast-triggered Decision-making in Ecotourism MSMEs Purnomo, Singgih; Nurmalitasari, Nurmalitasari; Nurchim, Nurchim; Nugroho, Novemy Triyandari
Shirkah: Journal of Economics and Business Vol. 11 No. 1 (2026)
Publisher : Universitas Islam Negeri Raden Mas Said Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22515/shirkah.v11i1.1108

Abstract

Ecotourism micro, small, and medium-sized enterprises (MSMEs) often face highly volatile demand characterized by frequent zero-sales days, strong seasonality, and exposure to external shocks. In such conditions, sustainability depends less on forecast accuracy and more on timely, low-cost operational decisions. This study examines how forecast-triggered decision-making supports short-run viability under intermittent, zero-heavy demand. Using manually recorded daily sales data from ecotourism MSMEs in Tawangmangu, Indonesia, a two-stage approach is applied that separates sale occurrence from sales magnitude. First, a logistic model estimates the probability of a sale to generate early-warning signals. Second, conditional sales magnitude is predicted to indicate readiness levels rather than precise revenue targets. Instead of focusing on accuracy alone, the analysis evaluates decision usefulness through time-ordered backtesting, emphasizing avoidable operating days and early-warning lead time. The results show that sale-occurrence signals effectively guide daily operating decisions, while magnitude forecasts support proportional readiness. The framework identifies a substantial share of avoidable operating days and provides several days of advance warning before prolonged zero-sales periods. This enables earlier cost control and capacity adjustment. The study contributes by offering a practical, human-in-the-loop decision framework that links demand uncertainty with adaptive actions using simple, manually recorded data.
Implementasi Sistem Smart Home Untuk Monitoring Dan Kontrol Peralatan Rumah Berbasis Internet of Things Uvi Firgianingsih, Uvi Firgianingsih; Nurchim, Nurchim; Susanto, Rudi
JUPITER (JURNAL PENDIDIKAN TEKNIK ELEKTRO) Vol. 9 No. 1 (2024)
Publisher : Universitas PGRI Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25273/jupiter.v9i1.17880

Abstract

Saat ini banyak pemilik rumah menggunakan peralatan elektronik yang berlebihan. Pemilik rumah sering mengalami kelalaian dalam mematikan perangkat elektronik saat meninggalkan rumah. Tujuan dari penelitian ini adalah membuat sistem smart home untuk monitoring dan kontrol rumah berbasis IoT guna mengendalikan dan memantau kondisi lampu rumah dengan aplikasi web dengan memanfaatkan hasil pembacaan intensitas cahaya dari sensor LDR sesuai dengan SNI Nomor 03-6197-2000 tentang Konservasi energi. Metode penelitian menggunakan Rapid Application Development (RAD). Metode ini mengurangi jumlah waktu yang dibutuhkan untuk perencanaan, desain, dan implementasi sistem hasil pembacaan dari sensor dikirim dan diolah NodeMcu ESP8266, setelah di olah data akan dikirimkan ke cloud server dan disimpan pada database melalui jaringan internet yang terhubung dengan NodeMcu melalui wifi. Data yang tersimpan pada cloud dapat diakses di semua device yang terkoneksi internet melalui aplikasi. Hasil penelitian ini berupa prototipe smart home yang dibuat dapat digunakan untuk mengendalikan lampu sesuai yang diharapkan. Mode otomatis sistem memanfaatkan hasil pembacaan intensitas cahaya dalam ruangan dari sensor LDR dalam menyalakan atau mematikan relay, sedangkan mode manual sistem dapat dikontrol secara manual untuk menyalakan atau mematikan relay.
Co-Authors Abdullah Abdullah Syaifudin Achmad Sholichin Afu Ichsan Pradana Agus Riyanto Agustina Srirahayu Ahmad Qashid Husaini Ahmad Setiawan Al Mustofa, Muhammad Hafizh Andrean, Fauzi Andy Ariyanto Ardi Lestari, Sofiana Ardianto Pambudi Arif Wicahyanto Assidiq, Abdul Hafid Atina, Vihi Atmojo, Fattah Satrio Atmojo, Fernando Winantya Aulia, Sherina Revita Awang Long, Zalizah Bagus Muhammad Latif Bondan Wahyu Pamekas Bondan Wahyu Pamekas Carolina Wibowo, Anita Cipto Utomo, Bangun Prajadi Dwi Hartanti Dwi Hartanti Dwi Kurniawan Saputro Edy Kurniawan Eko Purwanto Eko Purwanto Faiq Muhammad, Nibras Feri Setiyono Gabriel Ardana Hasanah, Herliyani Herliyani Hasanah Ibnu Bagus Setiawan Ichsan Pradana, Afu immaculata yolia dewi Widayanti Indah Nofikasari Indriyas Kukuh Wijayanti Irawan, Etwin Hendri Irwan Budianto Joni Maulindar Krisna Joko Purjianto Kurniawan, Daniel Ade Mahendra Abdul Rahman, Rizqy Maskhul Ryan Ibrahim Maulindar, Joni Muhammad Ilham Pratama Muhammad Nibras Faiq Muhammad Rais Ramadhani Mumu, Raul Galvin Rudolf Munaiseche, Christian Imanuel Muttaqi, Bagas Ningsih, Pipin Widya Novemy Triyandari Nugroho Novianto, Novianto Nugroho, Mohammad Yusuf Nurhayati Nurhayati Nurlita, Catarina Ivanda Nurmalitasari Nurmalitasari Nurmalitasari Nurmalitasari Nurmalitasari Oktaviani, Intan Pamekas, Bondan Wahyu Permatasari, Hanifah Pipit Vidianti Pradana, Afu Ichsan Pramono Pramono Pramono Prasetya, Ian Putra Prastyo, Okik Dwi Pratama, Wahyu Adi Purwanto, Eko Putra Prasetya, Ian Putra Prasetya Putra Pratama, Dita Putra, Wihan Perkasa Nugraha Ragil Saputro, Abdullah Rahadian, Dwiki Rasya Rudi Susanto Rukmini, Siti Santoso, Tri Djoko Saputra, Muchammad Yoga Sari, Nur Avia Adenta Setrayana, Abiyyu Sholeh, Ilham Sholichin, Achmad Singgih Purnomo Sopingi Sulistyo Wahyu S Sumarlinda, Sri Suryadi, Agung Suryani, Fajar Suryani, Fajar Suryani Taufik Hidayat Tejo Arum, Dinenda Tri Djoko Santosa Untoro, Fendi Uvi Firgianingsih, Uvi Firgianingsih Widayanti, immaculata yolia dewi Wijayanti, Indriyas Kukuh Wijiyanto Wijiyanto Wijiyanto Wijiyanto, Wijiyanto Yommy Adhiwira Yudha Yunita Wisda Tumarta Arif Zalizah Awang Long Zalizah Awang Long