Claim Missing Document
Check
Articles

Found 18 Documents
Search

Analysis of LoRa with LoRaWAN Technology Indoors in Polytechnic of Malang Environment Noprianto, Noprianto; Dien, Habibie Ed; Ratsanjani, M. Hasyim; Hendrawan, Muhammad Afif
Sistemasi: Jurnal Sistem Informasi Vol 13, No 2 (2024): 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.v13i2.3884

Abstract

Technology is one of the fields heavily influenced by rapid developments, undergoing significant changes each year. One of the technologies affected is data transmission. Data transmission faces its own challenges, and each region encounters different constraints in their connections, such as the distance of data delivery. In this regard, expanding the data delivery range is crucial to optimize connections and system performance. The use of LoRaWAN for sensor monitoring in IoT devices is designed to transmit data over a wide area with low power consumption and long-term usability, thus overcoming these issues. Data collection in this study utilizes the technique of measuring RSSI (Received Signal Strength Indicator), SNR (Signal-to-Noise Ratio), and LoRa's time interval, considering distance and location parameters at Politeknik Negeri Malang and its surrounding areas. Locations chosen include each floor of the Civil Engineering building to obtain data parameters like RSSI, SNR, and time intervals, which improve when the distance between the transmitting LoRa node and the LoRa gateway gets closer. After conducting tests, it was found that using a 35 dBi antenna outperforms a 10 dBi antenna in data transmission. This was evidenced by the RSSI values approaching 0 from floor 8 to 1 in the Civil Engineering building of Politeknik Negeri Malang. Additionally, the use of a 35 dBi antenna resulted in a 50% faster data transmission compared to the 10 dBi antenna. LoRaWAN technology, particularly The Things Network, can be employed to manage LoRa. However, similar technologies like Chripstack can also be used to manage LoRaWAN more flexibly on the local network
PEMANFAATAN SISTEM INFORMASI MONITORING KBM PADA MIS NU SABILUN NAJAH 26 PASURUAN Hendrawan, Muhammad Afif; Pramana Yoga Saputra; Indra Dharma Wijaya; Arwin Datumaya Sumari
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 5 No. 1 (2024): Volume 5 No 1 Tahun 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v5i1.19342

Abstract

Madrasah Ibtidaiyah Swasta (MIS) NU Sabilun Najah 26 adalah salah madrasah ibtidaiyah swasta yang ada di Pasuruan. MIS NU Sabilun Najah 26 menginginkan sebuah sistem informasi monitoring kegiatan belajar mengajar (KBM) siswa. Hal ini dikarenakan, dalam kegiatan belajar mengajar yang telah dilaksanakan dirasa masih kurang pengawasan. Pihak orang tua tidak mengetahui apa yang siswa di sekolah. Diharapkan ada evaluasi mengenai perilaku siswa di sekolah, kehadiran siswa, pelaksanaan ujian, beberapa event yang diadakan oleh sekolah. Sehingga dengan adanya sistem informasi monitoring KBM siswa, dapat memudahkan orang tua untuk monitoring kegiatan siswa. Selain itu dapat mencegah adanya kesalahpahaman antara pihak wali murid dan pihak lembaga. Serta dapat membantu pihak sekolah untuk memonitoring siswa dengan mudah, serta dalam penyimpanan data dan perekapan data dengan menggunakan sistem terkomputerisasi.
IMPLEMENTASI SISTEM INFORMASI PENGUMUMAN MADRASAH DI MIN 1 KOTA MALANG Hendrawan, Muhammad Afif; Yunianto, Dika Rizky; Muhammad Shulhan Khairy; Sukmana, Septian Enggar; Wijaya, Indra Dharma; Widaningsih, Widaningsih
Community Development Journal : Jurnal Pengabdian Masyarakat Vol. 5 No. 1 (2024): Volume 5 No 1 Tahun 2024
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cdj.v5i1.19872

Abstract

Pendidikan dasar memainkan peran krusial dalam pembentukan fondasi pendidikan nasional, khususnya untuk anak-anak berumur 7 hingga 15 tahun, sesuai dengan Undang-Undang No. 20 Tahun 2003 Tentang Sistem Pendidikan Nasional di Indonesia. Orang tua, sebagai wali murid, memiliki peran penting dalam mengarahkan perkembangan anak-anak, baik dari segi kognitif, afektif, maupun psikomotorik. Mereka tidak hanya bertanggung jawab atas nilai-nilai moral dan agama, tetapi juga harus mendampingi pendidikan akademik anak-anak mereka. WHO telah mengeluarkan panduan bagi orang tua pada tahun 2020, terutama dalam menghadapi tantangan pandemi, untuk membantu anak-anak mereka dalam proses belajar di rumah. Penelitian ini mengidentifikasi bahwa peran orang tua, khususnya wali murid, memiliki dampak signifikan pada pembelajaran siswa. Selain itu, hubungan yang baik antara sekolah dan wali murid menjadi krusial, dan informasi harus tersampaikan secara efektif. Kasus konkretnya adalah MIN 1 Kota Malang, di mana informasi dan pengumuman disampaikan melalui grup pesan WhatsApp. Namun, masalah muncul karena pesan yang menumpuk dan sulit terbaca oleh wali murid. Untuk mengatasi masalah ini, penulis merancang sebuah sistem informasi pengumuman madrasah. Sistem ini diharapkan akan membantu MIN 1 Kota Malang dalam mengelola penyampaian informasi dan pengumuman sekolah secara lebih efisien kepada wali murid, memperkuat keterlibatan orang tua dalam pendidikan anak-anak, dan memberikan kontribusi positif pada proses pendidikan dasar.
Pengembangan Mesh Network Sebagai Ekspansi Protokol LoRaWAN di Politeknik Negeri Malang Noprianto Noprianto; Reynaldi Fakhri Pratama; Habibie Ed Dien; Muhammad Hasyim Ratsanjani; Muhammad Afif Hendrawan
Jurnal Teknologi Informasi dan Multimedia Vol. 6 No. 3 (2024): November
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v6i3.594

Abstract

In realizing a smart campus, Politeknik Negeri Malang (Polinema) has implemented digital technology in its learning and administrative processes with the goal of improving efficiency, speed, and operational ease. One of the key areas being developed is the Internet of Things (IoT), which is expected to function autonomously to support various campus activities. However, the main challenges in IoT implementation are the limitations in communication range and device power consumption, which cause issues in sensor and actuator data transmission, especially when data cannot be optimally received between nodes. To address these challenges, Polinema is ex-ploring the application of LoRaWAN technology. Although LoRaWAN is effective, it experiences a decline in data transmission quality when the sender and receiver are located in multi-story buildings, which can lead to delays, packet loss, or other disruptions. As a solution, the use of a Mesh Network is proposed to enhance the range and stability of data transmission. This study collected data using RSSI, SNR, and delay parameters in the civil engineering building at Polinema, with sensor data visualized through Grafana. The results show that the system can be well-integrated without conflicts between WiFi and LoRa. The average transmission time was approximately 29 seconds, with no packet loss detected. Additionally, changing the transmission method to confirmed uplink was necessary to maintain data integrity, while adjusting transmis-sion intervals was crucial to avoid scheduling issues. These findings indicate that implementing a Mesh Network as an extension of the LoRaWAN protocol can significantly improve the perfor-mance of IoT systems in Polinema’s indoor environment.
Sosialisasi dan pelatihan administrasi persuratan untuk warga melalui pemanfaatan SIMBEROD dan penguatan kapasitas perangkat desa di Desa Tulusbesar Kecamatan Tumpang Kabupaten Malang Maskur Maskur; Muhammad Afif Hendrawan; Yosi Afandi; Nilawati Fiernaningsih; Pudji Herijanto; Septian Enggar Sukmana
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 8, No 4 (2024): December
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v8i4.27383

Abstract

AbstrakDesa Tulusbesar, Kecamatan Tumpang, Kabupaten Malang menghadapi tantangan dalam pengelolaan administrasi persuratan yang belum optimal, khususnya dalam hal ketersediaan sistem yang efisien dan kemampuan perangkat desa dalam mengelola surat-menyurat. Hal ini berdampak pada efektivitas pelayanan kepada masyarakat yang sering kali menjadi lambat dan kurang terorganisir. Kegiatan pengabdian ini bertujuan untuk meningkatkan kualitas administrasi persuratan desa melalui sosialisasi dan pelatihan pemanfaatan Sistem Informasi Berbasis Digital (SIMBEROD) serta penguatan kapasitas perangkat desa. Metode yang digunakan meliputi identifikasi kebutuhan, sosialisasi system informasi SIMBEROD kepada warga dan perangkat desa, pelatihan teknis dalam mengoperasikan SIMBEROD, penguatan kapasitas perangkat desa dan monitong dan evaluasi kegiatan. Hasil kegiatan menunjukkan bahwa penerapan SIMBEROD mampu meningkatkan efisiensi pengelolaan surat, mempercepat proses pelayanan, dan mengurangi risiko kesalahan administrasi. Pembahasan juga mengungkapkan tantangan terkait adopsi teknologi oleh perangkat desa yang memiliki keterbatasan dalam literasi digital, yang dapat diatasi melalui pelatihan berkelanjutan. Sebagai saran, desa diharapkan untuk terus melakukan evaluasi berkala terhadap sistem yang digunakan dan mengadakan pelatihan tambahan guna memperkuat keterampilan perangkat desa dalam memanfaatkan teknologi informasi. Kegiatan ini diharapkan dapat menjadi model bagi desa lain dalam meningkatkan kualitas pelayanan administrasi melalui pemanfaatan teknologi digital yang tepat guna. Kata kunci: sistem informasi; perangkat desa; pelatihan; pelayanan; administrasi. AbstractTulusbesar Village, Tumpang Subdistrict, Malang District faces challenges in managing its correspondence administration, particularly in terms of the availability of an efficient system and the ability of village officials to manage correspondence. This has an impact on the effectiveness of services to the community, which often become slow and less organized. This community service activity aims to improve the quality of village correspondence administration through socialization and training on the use of Digital Based Information System (SIMBEROD) as well as strengthening the capacity of village officials. The methods used include identification of needs, socialization of the SIMBEROD information system to residents and village officials, technical training in operating SIMBEROD, capacity building of village officials and monitoring and evaluation of activities. The results showed that the implementation of SIMBEROD was able to improve the efficiency of mail management, speed up the service process, and reduce the risk of administrative errors. The discussion also revealed challenges related to technology adoption by village officials who have limitations in digital literacy, which can be overcome through continuous training. As a suggestion, the village is expected to continue to conduct periodic evaluations of the system used and conduct additional training to strengthen the skills of village officials in utilizing information technology. This activity is expected to serve as a model for other villages in improving the quality of administrative services through the use of appropriate digital technology. Keywords: information systems; village officials; training; services; administration.
Hyperparameter Tuning Metode Long Short-Term Memory (LSTM) untuk Prediksi Harga Bawang Merah di Pasar Tradisional Jawa Timur M. Latifur Rahman; Mamluatul Hani'ah; Muhammad Afif Hendrawan
Jurnal Teknologi Informasi dan Multimedia Vol. 8 No. 2 (2026): May
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v8i2.976

Abstract

Shallots are one of the essential food commodities in East Java, the price of which frequently fluctuates due to seasonal influences and distribution factors. This price uncertainty often weakens the community's purchasing power and makes it difficult for farmers and sellers to make decisions. Therefore, this study proposes a daily shallot price prediction model for nine regions in East Java using the Long Short-Term Memory (LSTM) method with hyperparameter tuning to obtain the best-performing model. This study utilizes daily price data from PIHPS (Pusat Informasi Harga Pangan Strategis / Strategic Food Price Information Center) over four years, from January 1, 2021, to December 31, 2024. The research stages begin with data preprocessing, which includes imputing missing values to ensure continuity of the time sequence, data normalization, and arrangement of data based on temporal order (time series). To obtain the optimal model, the data was split into 80% for training and 20% for testing. Based on the experimental results, the optimal model configuration was found using a Window Size of 7 (the last seven days of data), 114 Epochs, and a Batch Size of 64. Furthermore, the reliability of the model was measured using MAPE, where the average across all regions fell below 10%, which is classified as "Very Good" based on MAPE interpretation standards. Additional testing using 2025 data as an independent dataset further confirmed that the model remains consistent and stable, as evidenced by an average MAPE of 3.10% across the nine regions.
Classification of human scabies skin disease using ConvNeXt Mochammad Zaky Zamroni; Muhammad Afif Hendrawan; Agwin Fahmi Fahanani; Dhelya Widasmara; Cahya Rahmad
Jurnal Ilmiah Kursor Vol. 13 No. 3 (2026)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/kursor.v13i3.490

Abstract

Scabies is a contagious skin disease caused by Sarcoptes scabiei and remains a health issue in many countries, including Indonesia. Clinical diagnosis is often difficult due to symptom similarities with other skin conditions. This study evaluates the ConvNeXt architecture for scabies classification from skin images to support automated diagnostic systems. The dataset consisted of 273 images (86 scabies and 187 non-scabies), expanded through cropping to 819 images, divided into 488 scabies and 331 non-scabies images. ConvNeXt was trained with fine-tuning at stage 3, implemented using PyTorch on an A100 GPU with the AdamW optimizer. Evaluation used 70:15:15, 80:10:10, and 5-Fold Cross Validation schemes with accuracy, precision, recall, and F1-score metrics. The best configuration (learning rate 0.0001, batch size 32) achieved 95.97% testing accuracy. Overall, ConvNeXt reached 97.75% average accuracy and an F1-score near 0.98, demonstrating highly competitive performance that slightly exceeds established baselines like ResNet-50 (97.69% accuracy). This shows its potential as an accurate and practical solution for automated scabies diagnosis in resource limited healthcare settings.Key words: Automated Diagnosis, ConvNeXt, Deep Learning, Image Classification, Scabies.
Identifikasi Material Jatuh Melalui Perangkat Mobile Bagaseto Yudistira Fiandra Putra; Muhammad Afif Hendrawan; Vipkas Al Hadid Firdaus
Jurnal Teknik Ilmu dan Aplikasi Vol. 6 No. 1 (2025): Jurnal Teknik Ilmu dan Aplikasi
Publisher : Politeknik Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33795/jtia.v6i1.6253

Abstract

Identifikasi material jatuh di gudang secara manual memakan waktu dan rentan terhadap kesalahan, dengan beberapa langkah seperti mengambil material secara fisik, mengidentifikasi material secara manual, memasukkan kode material ke sistem komputer, dan memverifikasi kecocokan. Untuk mengatasi ketidakefisienan ini, kami mengusulkan sebuah aplikasi Android yang menggunakan klasifikasi gambar berbasis TensorFlow untuk mengidentifikasi material jatuh secara real-time melalui kamera perangkat. Sistem ini mengintegrasikan program web berbasis Laravel untuk menambahkan data ke model, program Python untuk pelatihan model dan transfer learning, serta aplikasi Android untuk identifikasi real-time. Hasil uji coba menunjukkan bahwa model dengan minimal 50 gambar per material dapat mencapai akurasi lebih dari 90%. Solusi ini secara signifikan meningkatkan efisiensi operasional dan keselamatan di lingkungan gudang dengan mengotomatisasi proses identifikasi material. Penelitian selanjutnya akan mengeksplorasi peningkatan akurasi di berbagai kondisi lingkungan dan memperluas jenis material yang dapat diidentifikasi.