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All Journal Jurnal Pekommas Journal of Information System Sistemasi: Jurnal Sistem Informasi Jurnal Teknologi Informasi dan Multimedia
Dien, Habibie Ed
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Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Languange, Linguistic, Communication & Media

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Penentuan Learning Rate Terbaik CNN Pada Pengenalan Individu Berbasis Analisis Gait Sukmana, Septian Enggar; Ikawati, Deasy Sandhya Elya; Dien, Habibie Ed; Dianta, Ashafidz Fauzan
JOINS (Journal of Information System) Vol. 8 No. 1 (2023): Edisi Mei 2023
Publisher : Fakultas Ilmu Komputer, Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/joins.v8i1.7806

Abstract

Trayektori tubuh manusia untuk analisis gait tidak terbatas pada kondisi permukaan medan yang rata. Hal ini berpengaruh pada analisis gait untuk penelitian pengenalan identitas individu yang terkait dengan kondisi medan yang dilalui. Pergelangan kaki menjadi bagian tubuh yang berkontribusi pada trayektori tubuh manusia terhadap medan yang dilalui melalui dua kondisi yaitu Heel-Strike (HS) dan Toe-Off (TO). HS dan TO memiliki pola trayektori yang saling berbeda untuk setiap individu sehingga membutuhkan penentuan parameter learning rate yang tepat. Penentuan learning rate terbaik merupakan salah satu langkah penting dalam menghasilkan pengenalan identitas individu terbaik. Pada kegiatan penelitian ini, data yang digunakan adalah data berformat C3D yang direkam melalui perangkat motion capture dengan skenario berjalan lurus (WS/Walking Straight) oleh enam orang sebagai partisipan. Penentuan learning rate terbaik menggunakan metode convolutional neural network (CNN) dengan pretrain pembanding adalah ResNet18 dan ResNet50. Percobaan yang dilakukan menghasilkan performa terbaik diperoleh ResNet18 baik pada pengukuran Average Position (AP) maupun pendeteksian kondisi HS dan TO.
Pengembangan Mesh Network Sebagai Ekspansi Protokol LoRaWAN di Politeknik Negeri Malang Noprianto, Noprianto; Pratama, Reynaldi Fakhri; Dien, Habibie Ed; Ratsanjani, Muhammad Hasyim; Hendrawan, Muhammad Afif
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 6 No 3 (2024): November
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

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.
Analisis Klasterisasi Patok Jalan Berbasis Geospasial Menggunakan K-Means dan Evaluasi Davies-Bouldin Dien, Habibie Ed; Ratsanjani, M. Hasyim; Saputra, Agung Adi; Noprianto; Ririd, Ariadi Retno Tri Hayati; Nugraha, Bagas Satya Dian
Jurnal Pekommas Vol 9 No 2 (2024): Desember 2024
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jpkm.v9i2.5471

Abstract

Geographic Information System (GIS) has become a very important tool for spatial analysis and decision making in various fields. In this paper, the analysis process of grouping Kilometer Hectometer (KM/HM) road milestones use the K-Means method in the context of GIS. The KM/HM road milestones are road equipment made of concrete or signboards equipped with texts containing information about the distance and the name of the city to be traveled by road users. The length of the road that has such a long distance will make it difficult to maintain and to manage the road milestones that are scattered throughout the road. Currently, the process of mapping the location of the road milestones is still being carried out using the conventional method, in which the survey officer records the data on paper and measures it with the vehicle's odometer. However, this method often causes data loss, errors in determining the location, and lacks photographic evidence as a reference for assessing the condition of the road milestones. The role of GIS for survey officers is to map the road milestones and to visualize the road milestone data. The main objective is to gain meaningful insights from the spatial distribution of these road milestones, which will assist in better navigation and infrastructure planning. The K-Means method separates clusters from KM/HM road milestones which are identified based on geographical proximity. To assess the quality of these clusters, the evaluation is conducted using the Davies-Bouldin index (DBI) which provides a quantitative measure of inter-group similarity and within-group dissimilarity. For officers, it can be useful to find location points for the road milestones that have high damage conditions to prioritize to be repaired first. Based on the test results using DBI, it produces a value close to zero, which is equal to 0.1656, indicating that the clusters formed have very good quality.
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
Co-Authors Ariadi Retno Tri Hayati Ririd Ashafidz Fauzan Dianta, Ashafidz Fauzan Bagas Satya Dian Nugraha Hendrawan, Muhammad Afif Ikawati, Deasy Sandhya Elya Noprianto Noprianto, Noprianto Pratama, Reynaldi Fakhri Ratsanjani, M. Hasyim Ratsanjani, Muhammad Hasyim Saputra, Agung Adi Septian Enggar Sukmana