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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 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 Jurnal Teknik Silitek
Nurchim Nurchim
Universitas Duta Bangsa Surakarta
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Prototipe Monitoring Energi Listrik Berbasis Internet of Things (IoT) guna Mewujudkan Rumah Pintar Krisna Joko Purjianto; Nurchim; Muhammad Nibras Faiq
LOFIAN: Jurnal Teknologi Informasi dan Komunikasi Vol 4 No 1 (2024): Agustus
Publisher : Universitas Mandiri Bina Prestasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58918/lofian.v4i1.255

Abstract

Kemajuan teknologi IoT menawarkan peluang besar untuk mewujudkan rumah pintar yang inovatif, namun banyak rumah tangga masih menghadapi masalah kurangnya monitoring dan kontrol efisien pada konsumsi energi listrik. Penelitian ini bertujuan mengembangkan prototipe rumah pintar berbasis IoT dengan ESP32 dan sensor PZEM-004T 100A untuk memonitoring energi listrik pada lampu, meningkatkan efisiensi energi, dan memberikan notifikasi saat penggunaan energi mendekati batas tertentu. Metode penelitian mengikuti model SDLC (System Development Life Cycle) model waterfall, mulai dari planning, analysis, design, implementation, testing, hingga deployment and maintenance. Hasil implementasi menunjukkan bahwa sistem mampu memantau dan mengatur penggunaan energi secara langsung melalui aplikasi web, dengan dilengkapi notifikasi berupa pesan Whatsapp bilamana konsumsi energi listrik melebihi batas normal penggunaan. Pengujian menunjukkan sistem ini efektif dalam memberikan peringatan dini untuk menghindari pemborosan energi, memantau arus listrik, serta menghidupkan dan mematikan lampu tanpa keterlambatan. Dengan demikianm, diharapkan sistem ini berpotensi mengoptimalkan efisiensi energi serta mengurangi biaya listrik pengguna.
Peningkatan Kompetensi Pamong SMK Tamansiswa Banjarnegara Melalui Pemanfaatan Internet Produktif dalam Pembelajaran Nurchim, Nurchim; Suryadi, Agung
Duta Abdimas Vol. 1 No. 2 (2022): Duta Abdimas: Jurnal Pengabdian Masyarakat
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1084.773 KB) | DOI: 10.47701/abdimas.v1i2.1699

Abstract

Recently, there has been an increase in the use of the internet in the educational environment. Internet-based learning, known as online learning, is an alternative to acquiring appropriate knowledge and skills so as to encourage students to be able to study outside class hours. However, not all teachers have adequate digital literacy. The use of the internet in learning tends to be just a search for information to support learning and even entertainment. This community service activity aims to improve the competence of teachers at SMK Tamansiswa Banjarnegara in using the internet productively in learning. The activities are carried out face-to-face in the form of lectures and discussions with them. The discussion of the material includes internet basics, internet-based learning strategies and the introduction of online applications that support vocational learning. After the implementation of this activity, it is hoped that the teachers will gain new knowledge and insights as an increase in teaching competence to students by using the internet.
Penerapan Game Edukasi Guna Meningkatkan Minat Belajar Siswa Sekolah Dasar Nurchim, Nurchim; Purwanto, Eko
Duta Abdimas Vol. 2 No. 2 (2023): Duta Abdimas: Jurnal Pengabdian Masyarakat
Publisher : LPPM Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/abdimas.v2i2.2935

Abstract

Pendidikan Sekolah Dasar (SD) menjadi pendidikan formal paling dasar anak-anak sebagai generasi penerus bangsa. Di abad 21 sekarang, anak-anak diharapkan dapat belajar dan berinovasi sejalan dengan perkembangan teknologi informasi khususnya smartphones. Namun, banyak anak-anak yang memanfaatkannya untuk bermain game digital secara berlebihan. Dengan demikian, diperlukan pengenalan jenis-jenis game ke anak terutama untuk mendukung perkembangan anak yang sering disebut game edukasi. Game edukasi ini dapat digunakan sebagai media pembelajaran di sekolah agar lebih menarik dan interaktif. Tujuan kegiatan pengabdian masyarakat ini meningkatkan minat belajar siswa sekolah dasar melalui penerapan game edukasi. Tahapan pelaksanaannya meliputi persiapan materi game edukasi dan penerapan game edukasi pada pembelajaran siswa kelas 1 sampai dengan kelas 3 SD Negeri 01 Ngadirejo Mojogedang Karanganyar. Hasil yang diperoleh, bahwa game edukasi ini perlu dikenalkan sejak dini agar mendorong siswa memanfaatkan game untuk hal yang positif. Salah satunya, dengan mengintegrasikan game edukasi dalam proses pembelajaran sebagai upaya meningkatkan minat belajar siswa. Hal yang lebih penting, penerapan game edukasi ini tetap perlu pengawasan dari guru maupun orang tua dalam hal konten dan waktu bermain.
Hybrid Logistic Super Newton Model for Predicting Small Sample Size Data Nurmalitasari, Nurmalitasari; Awang Long, Zalizah; Nurchim, Nurchim
JURNAL TEKNIK INFORMATIKA Vol. 18 No. 1: JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v18i1.43929

Abstract

Logistic regression is a model commonly used for predicting data with large sample sizes. However, in real-world scenarios, many cases involve small datasets that need to be addressed using logistic regression. The aim of this research is to develop a hybrid logistic regression model to address issues with small sample sizes by combining the Newton Raphson and Super Cubic methods. This hybrid model is applied to predict student dropout at Universitas Duta Bangsa Surakarta. The performance of the hybrid model is evaluated using two main metrics: the convergence of the parameter approximation to measure the precision of parameter estimation, and the ROC curve to assess prediction accuracy. Experimental results show that the Hybrid Logistic Super Newton model outperforms the logistic regression Newton Raphson model, requiring only three iterations to converge, thus improving computational efficiency. Moreover, this model achieves higher accuracy, with an AUC of 0.8833. These findings suggest that the developed model has the potential to be applied in various fields, such as healthcare, finance, and others, offering an effective solution for accurate, real-time predictive analytics. Further research could focus on optimizing the model’s computational efficiency and exploring its application in other domains with small dataset challenges, such as healthcare and finance.
Sistem Management Water Sprayer Automatization Pada Truk Pertambangan Batubara Berbasis Internet of Things Assidiq, Abdul Hafid; Nurchim, Nurchim; Susanto, Rudi
CESS (Journal of Computer Engineering, System and Science) Vol. 9 No. 2 (2024): July 2024
Publisher : Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/cess.v9i2.61367

Abstract

Dalam proses pengangkutan batubara tidak sedikit menimbulkan debu batubara yang memiliki dampak negatif terhadap kesehatan fungsi paru. Penelitian ini bertujuan untuk mengembangkan sistem penyiraman air otomatis pada truk pertambangan batubara dengan menggunakan teknologi IoT (Internet of Things). Pengembangan sistem dilakukan dengan melakukan kajian pustaka, observasi, dan wawancara, selanjutnya dilakukan perancangan alat dan konfigurasi alat dengan program yang dijalankan. Dari pengembangan sistem tersebut dihasilkan sistem manajemen penyiraman otomatis pada truk pertambangan dengan menggunakan RFID sebagai pengenal unit truk serta sensor aliran air untuk memonitor penggunaan air yang kemudian data tersebut ditampilkan pada website monitoring. Faktor kalibrasi yang digunakan dalam sensor aliran air sebesar 11.5 berdasarkan hasil uji dengan nilai persentase error sebesar 1%. Penelitian ini berhasil mengembangkan sistem otomatisasi penyemprotan air pada truk pengangkut batubara menggunakan teknologi IoT. Sistem ini mengintegrasikan RFID untuk identifikasi truk, sensor aliran air, dan mikrokontroler ESP32 untuk pengolahan data. Hasilnya, sistem dapat bekerja otomatis, mengurangi penggunaan air dan biaya operasional, serta meningkatkan standar keselamatan kerja di pertambangan.
Prototipe Sistem Monitoring Cuaca dan Peringatan Dini Hujan Berbasis Internet Of Things Achmad Sholichin; Rudi Susanto; Nurchim Burchim
SMATIKA JURNAL : STIKI Informatika Jurnal Vol 15 No 01 (2025): SMATIKA Jurnal : STIKI Informatika Jurnal
Publisher : LPPM UBHINUS MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/smatika.v15i01.1395

Abstract

The condition of the air at a certain time and at a certain location over a short period of time is called weather. The term "time" refers to a mixture of meteorological factors that change over time. For example, the weather in the morning may be different from the afternoon and late hours. It is very important for humans to monitor, understand, and prepare for weather events. Weather information can be seen from weather information providers such as BMKG, but weather information on BMKG covers a wide area, so local areas such as villages have different weather even though they are in the same district. In addition, each weather information is presented in three-hour intervals and only covers a wide area, and there are no notifications in each area. Therefore, the purpose of this study is to create a prototype of a real-time weather monitoring system as well as an early warning of rain based on the internet of things (IOT) that can be accessed anywhere and anytime and the results are accurate and in accordance with environmental conditions, where the coverage is local areas such as villages so that there is no difference in weather information and early warning notifications. This research method uses the waterfall method with research stages carried out from data collection, needs analysis, design, creation of tools and program codes, and testing. This research produces weather information such as temperature, humidity, air pressure, wind speed, light conditions, and rain conditions, this research also produces weather notifications that can be used as early warnings of rain. The results of the study were also compared with data from BMKG, namely there was a significant difference between sensor values ​​and notifications. This system can also be an alternative as a tool that can be used for weather monitoring and providing early warning notifications.
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 
From Zero Sales to Survival: Forecast-triggered Decision-making in Ecotourism MSMEs Singgih Purnomo; Nurmalitasari Nurmalitasari; Nurchim Nurchim; Novemy Triyandari Nugroho
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.
PENERAPAN ARTIFICIAL NEURAL NETWORK DALAM DETEKSI SERANGAN PADA WEB SERVER APACHE arif wicahyanto; nurchim nurchim; wijiyanto wijiyanto
Jurnal Informatika dan Rekayasa Elektronik Vol. 8 No. 1 (2025): JIRE APRIL 2025
Publisher : LPPM STMIK Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36595/jire.v8i1.1386

Abstract

Serangan siber terhadap website menjadi hal yang tidak dapat dihindarkan, tidak terkecuali website pemerintahan serta website kampus. Serangan siber memberikan dampak yang merugikan, mulai dari pencurian data sensitif, gangguan akses website, hingga kerugian finansial. Seiring dengan semakin canggihnya teknik serangan siber, sistem keamanan berbasis aturan dan pencocokan pola menghadapi kesulitan dalam mendeteksi serangan yang tersembunyi dan adaptif. Artificial Neural Network (ANN) adalah metode pembelajaran mesin yang memiliki kemampuan untuk belajar dari pola serangan yang kompleks, mengidentifikasi pola yang tidak terlihat dan beradaptasi dengan serangan baru. Penelitian ini bertujuan mengimplementasikan ANN dalam bentuk model untuk Smendeteksi serangan siber dengan menggunakan access log web server Apache sumber data dataset. Penelitian berhasil membangun model ANN untuk mendeteksi serangan pada web server Apache dengan nilai accuracy 0.9170.
Rancang Bangun Sistem Monitoring Lingkungan Pada Kandang Sapi Berbasis Internet of Things Fendi Untoro; 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.
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 Bangun Prajadi Cipto Utomo Bondan Wahyu Pamekas Bondan Wahyu Pamekas Carolina Wibowo, Anita Dwi Hartanti Dwi Hartanti Dwi Kurniawan Saputro Edy Kurniawan Eko Purwanto Eko Purwanto Eko Purwanto Faiq Muhammad, Nibras Fendi Untoro Feri Setiyono Gabriel Ardana Gabriel Yafet Ardana Hasanah, Herliyani Herliyani Hasanah Ibnu Bagus Setiawan Ichsan Pradana, Afu immaculata yolia dewi Widayanti Indah Nofikasari Indriyas Kukuh Wijayanti Intan Oktaviani 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 Pamekas, Bondan Wahyu Permatasari, Hanifah Pipit Vidianti Pradana, Afu Ichsan Pramono Pramono Pramono Pramono Prasetya, Ian Putra Prastyo, Okik Dwi Pratama, Wahyu Adi 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 Yommy Adhiwira Yudha Yunita Wisda Tumarta Arif Zalizah Awang Long Zalizah Awang Long