Claim Missing Document
Check
Articles

Found 28 Documents
Search

Study and Analysis of Network Topology Performance Using Wireless Distribution System Technology Rahmat, Mohammad Faried; Rohadi, Erfan; Siradjuddin, Indrazno; Chrissandy, Farif
Journal of Information Technology and Computer Science Vol. 6 No. 2: August 2021
Publisher : Faculty of Computer Science (FILKOM) Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (705.559 KB) | DOI: 10.25126/jitecs.202162276

Abstract

The use of wireless networks has become a trend at this time. However, this can cause several problems in the use of this technology. One of the problems arising from this technology is the limited signal coverage in a certain place. To solve these problems, WDS technology is an alternative solution that can be done. WDS technology will be applied to each room. In this study, QOS analysis will be used to evaluate throughput performance and response time. The test scenario is performed with 1000 users (simulated) for seven days, four sampling times considering working hours and outside working hours. The analysis results show that with WDS technology, the resulting performance tends to be more stable with a throughput value of 500 KBps and a max response time of 5.5 ms.
VARIASI KOMUNITAS PLANKTON DAN PARAMETER OSEANOGRAFI DI DAERAH PENANGKAPAN IKAN PELAGIS DI PERAIRAN MALANG SELATAN, JAWA TIMUR Sartimbul, Aida; Yona, Defri; Larasati, Ardelia Annisa; Saria, Syarifah Julinda; Rohadi, Erfan
JFMR (Journal of Fisheries and Marine Research) Vol. 1 No. 2 (2017): JFMR
Publisher : Faculty of Fisheries and Marine Science, Brawijaya University, Malang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jfmr.2017.001.02.2

Abstract

AbstractPerairan Malang Selatan merupakan daerah yang potensial sebagai daerah penangkapan ikan. Keberadaan berbagai jenis ikan pelagis kecil terutama ikan planktivor secara langsung dipengaruhi oleh pertumbuhan fitoplankton dan zooplankton. Fitoplankton mempunyai peran penting sebagai dasar rantai makanan dalam ekosistem perairan, sedangkan zooplankton merupakan herbivor pemangsanya. Pertumbuhan fitoplankton dan zooplankton dipengaruhi oleh faktor oseanografinya. Penelitian ini bertujuan untuk mengetahui variasi komunitas plankton dan hubungannya dengan parameter oseanografinya, serta distribusi spasial plankton di daerah penangkapan ikan di Perairan Malang Selatan, Jawa Timur. Metode purposive sampling dengan teknik zigzag pada 10 titik sampling digunakan dalam pengambilan data pada penelitian ini. Sedwicgk rafter counting cell digunakan dalam metode penghitungan plankton. Sampel plankton diambil secara horizontal dan vertikal pada kedalaman 1 dan 15 m dengan jaring plankton bermata jaring 20 µm, sedangkan parameter oseanografi secara in situ diukur menggunakan aqua quality sensor tipe AAQ 1183 C. Hasil penelitian menunjukkan bahwa kelimpahan fitoplankton sebesar 49.764 sel/m3, didominasi oleh genus Chaetoceros. (Bacillariophyceae), dan kelimpahan zooplankton sebesar 894 ind/m3, didominasi oleh genus Nauplius. (Copepoda). Indeks keanekaragaman dan keseragaman fitoplankton dan zooplankton dapat dikategorikan sedang, berturut-turut sebesar 1,77–1,85 dan 1,70–1,77; 0,58–0,59 dan 0,77–0,79, sedangkan indeks dominansinya masuk dalam kategori rendah yaitu berturut-turut 0,27–0,28 dan 0,24–0,27. Analisis Principal Component Analysis (PCA) menunjukkan bahwa parameter oseanografi utama yang paling berpengaruh pada variasi komunitas plankton adalah turbiditas, klorofil-a, oksigen terlarut dan fosfat. Hasil uji T menunjukkan bahwa distribusi spasial kelimpahan fitoplankton dan zooplankton pada kedalaman 1 m dan 15 m berbeda nyata. Studi ini memberikan informasi penting tentang kelimpahan plankton dan faktor oseanografi yang berpengaruh di daerah penangkapan di Perairan Malang Selatan. Kata Kunci: komunitas plankton, parameter oseanografi, fishing ground, Perairan Malang Selatan AbstractThe South Malang water is a potential area as a fishing ground. The existence of various species of small pelagic fishes such as planktivores fishes are directly influenced by the growth of phytoplankton and zooplankton. Phytoplankton has an important role as the basis of the food chain in aquatic ecosystems, whereas zooplankton is its predator. The growth of phytoplankton and zooplankton is influenced by oceanography factors. This study aims to determine the variation of the plankton community and its relationship with oceanographic parameters, as well as the spatial distribution of plankton in the fishing ground at South Malang water. The purposive sampling method with zigzag technique at 10 sampling sites was used in data collection in this research. Sedwicgk rafter counting cells were used in plankton counting methods. The plankton samples were taken horizontally and vertically at depths of 1 and 15 m with a 20 μm planktonnet, while in situ oceanographic parameters were measured using aqua quality sensor AAQ type 1183 C. The results showed that phytoplankton abundance was 49.764 cells / m3, dominated by the genus Chaetoceros (Bacillariophyceae), and zooplankton abundance of 894 ind / m3, dominated by the genus Nauplius (Copepoda). The diversity index and uniformity index of phytoplankton and zooplankton could be categorized as the middle as 1.77-1.85 and 1.70-1.77; 0.58-0.59 and 0.77-0.79, respectively, while the dominance index was included in the low category that was 0.27-0.28 and 0.24-0,27, respectively. Principal Component Analysis (PCA) analysis showed that the most important major oceanographic parameters for plankton community variation were turbidity, chlorophyll-a, dissolved oxygen and phosphate. T test results show that the spatial distribution of phytoplankton abundance and zooplankton at depth of 1 m and 15 m are significantly different. This study provides important information on the plankton abundance and oceanography factors affected at fishing ground of South Malang water. Keywords: Plankton community, oceanography parameters, fishing ground, South Malang Water
STRUKTUR KOMUNITAS FITOPLANKTON PADA PERAIRAN MAYANGAN PROBOLINGGO, JAWA TIMUR Sartimbul, Aida; Ginting, Felixtha Robertus; Pratiwi, Dwi Candra; Rohadi, Erfan; Muslihah, Nurul; Aliviyanti, Dian
JFMR (Journal of Fisheries and Marine Research) Vol. 5 No. 1 (2021): JFMR
Publisher : Faculty of Fisheries and Marine Science, Brawijaya University, Malang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jfmr.2021.005.01.20

Abstract

The waters of Mayangan, Probolinggo are waters that have ports with the status of the Coastal Fisheries Port (PPP). The existence of PPP Mayangan, Probolinggo can negatively influence the quality of the water in these waters. Phytoplankton as a primary producer in a waters very much depends on water quality fluctuations that occur in aquatic ecosystems. The role of phytoplankton as a bioindicator gives an idea of the condition of the water quality contained in a waters. This study aims to determine the structure of the phytoplankton community as a bioindicator of water quality in the waters of Mayangan, Probolinggo. Phytoplankton sampling and water quality were conducted in situ. Depth of data was obtained through the National Batimetri website, Geospatial Information Agency (BATNAS BIG). Phytoplankton samples were taken by horizontal method, water quality samples were also taken by repetition 3 times. Data analysis using Pearson Correlation analysis with the help of SPSS 16.0 application. The results showed the average value of air quality in the waters of Mayangan, Probolinggo was 36.76 ° C, pH 7.19, salinity 33.5 ppt, brightness 6.48 m, nitrate 0.023 mg / l, phosphate 0.022 mg / l , and a depth of 5.26 m. The most commonly found phytoplankton are Chaetoceros and Skeletonema in which both genera are included in Harmful Alga Bloom (HAB). Based on the correlation analysis test, water transparancy was positively correlated with the abundance of phytoplankton in the waters of Mayangan, Probolinggo. 
Sistem Automasi Perkebunan dan Pemantauan Cuaca Menggunakan AWS Berbasis Raspberry Pi Rohadi, Erfan; Abdurrahman, Raka Admiral; Ekojono, Ekojono; Asmara, Rosa Andrie; Siradjuddin, Indrazno; Ronilaya, Ferdian; Setiawan, Awan
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 5 No 6: Desember 2018
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (117.188 KB) | DOI: 10.25126/jtiik.2018561121

Abstract

AbstrakInternet of Things (IoT) mengalami perkembangan yang sangat pesat dan menjadi topik yang layak untuk diperbincangkan dan dikembangkan saat ini. IoT merupakan sebuah metode yang bertujuan untuk memaksimalkan manfaat dari konektivitas internet untuk melakukan transfer dan pemrosesan data- data atau informasi melalui sebuah jaringan internet secara nirkabel, virtual dan otonom. Salah satu pemanfaatan IoT adalah sistem automasi. Sistem automasi pada umumnya menggunakan pengatur waktu (timer) untuk proses penyiraman tanaman. Penggunaan timer bertujuan agar penyiraman tanaman berjalan secara rutin tanpa bantuan manusia.Pengembangan sistem automasi ini dimulai dengan pembuatan prototype lahan tanaman cabai rawit di lahan 5 x 2.5 meter, kemudian menyusun komponen-komponen yang dibutuhkan serta cara kerjanya. Selanjutnya dilakukan pemrograman sensor-sensor terhadap Raspberry Pi sebagai pengontrol dalam sistem tersebut berdasarkan kondisi yang telah diatur dan perubahan temperatur yang diterima oleh sensor. Setelah semua dilakukan, maka dilakukan pengujian terhadap sistem tersebut.Berdasarkan pengujian yang telah dilakukan, diketahui telah berhasil dilakukan penyiraman otomatis, baik secara reguler (pukul 06.00 dan 18.00) maupun penyiraman pendinginan. Pendinginan dilakukan jika suhu lebih dari 30 derajat celcius. Sistem automasi yang dikembangkan dengan uji tanaman cabai rawit menjanjikan untuk diterapkan pada pemanfaatan lahan di sekitar rumah. AbstractRecently, The Internet of Things (IoT) has been implemented and become an interesting topic for discussion. IoT is a method that aims to maximize the benefits of Internet connectivity to transfer and process data or information through an internet network wirelessly, virtual and autonomous. One of the IoT's utilization is automation system. The automation system generally uses a timer for the plant watering process. The use of timers aims to water the plants routinely without human assistance.The development of this automation system begins with the making of the prototype of chili land in the field 5 x 2.5 meters, then compile the required components and how it works. Further programming of sensors to Raspberry Pi as a controller in the system based on the conditions that have been set and changes in temperature received by the sensor.As a result, the system has been successfully done automatic watering, both on a regular basis (at 06.00 and 18.00) and cooling watering. Cooling is done if the temperature exceeds more than 30 degrees Celsius. The automation system promises to be applied to the utilization of land around the house.
Sistem Monitoring Budidaya Ikan Lele Berbasis Internet Of Things Menggunakan Raspberry Pi Rohadi, Erfan; Adhitama, Dodik Widya; Ekojono, Ekojono; Ariyanto, Rudy; Asmara, Rosa Andrie; Ronilaya, Ferdian; Siradjuddin, Indrazno; Setiawan, Awan
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 5 No 6: Desember 2018
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (117.312 KB) | DOI: 10.25126/jtiik.2018561135

Abstract

AbstrakInternet of Things merupakan perkembangan teknologi berbasis internet masa kini yang memiliki konsep untuk memperluas manfaat yang benda yang tersambung dengan koneksi internet secara terus menerus. Sebagai contoh benda elektronik, salah satunya adalah Raspberry Pi. Teknologi ini memiliki kemampuan memberikan informasi secara otomatis dan real time. Salah satu pemanfaatan perkembangan teknologi ini di bidang perikanan adalah sistem pemantauan air kolam. Pada prakteknya, para pembudidaya ikan lele masih melakukan pemantauan tersebut secara konvensional yaitu dengan cara mendatangi kolam ikan. Hal ini berpengaruh terhadap efisiensi waktu dan keefektifan kerja pembudidayaan ikan.Pada penelitian ini dikembangkan alat yang berfungsi untuk membantu memantau dan mengontrol kualitas air kolam ikan lele berbasis Internet of Things. Piranti yang diperlukan adalah sensor keasaman (pH), sensor suhu dan sebuah relay untuk mengatur aerator oksigen air. Data dari sensor-sensor tersebut direkam oleh Raspberry Pi untuk kemudian diolah menjadi informasi sesuai kebutuhan pengguna melalui perantara internet secara otomatis. Selanjutnya data-data tersebut dapat ditampilkan dengan berbagai macam platform, salah satunya dengan model mobile web.  Hasil uji menunjukan bahwa pengembangan teknologi Internet of Things  pada sistem ini dapat membantu pembudidaya untuk melakukan pemantauan terhadap kualitas air secara otomatis. Sistem otomasi yang dikembangkan menjanjikan peningkatan keberhasilan dalam pembudidayaan ikan lele. AbstractFor recent years, the Internet of Things becomes the topic interest of improvement based on technologies that have the concept of extending the benefits of an object that is connected to an internet constantly. This technology has the ability to provide information automatically and real time. One of expansion in the field of fishery is the water ponds monitoring system. In the fact, the catfish farmers are still doing conventional monitoring by coming to the fish pond. This could affects the efficiency of time and effectiveness of fish cultivation work.In this research, the systems that can monitor and control the quality of catfish water ponds based on the Internet of Things is proposed. The necessary tools are acidity sensor (pH), temperature sensor and a relay to adjust water oxygen aerator. The data sensors have been recorded by Raspberry Pi that processed into information according to user needs through internet automatically. Furthermore, these data have been displayed with a variety of platforms, one with a mobile web model.The results shows that the system based on Internet of Things technology can monitor the water quality automatically. The automation system promises the productivity of catfish farming.
Implementasi Video Streaming Lalu Lintas Kendaraan Dengan Server Raspberry Pi Menggunakan Protokol H.264 Rohadi, Erfan; Christine, Anastasia Merry; Prasetyo, Arief; Asmara, Rosa Andrie; Siradjuddin, Indrazno; Ronilaya, Ferdian; Setiawan, Awan
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 5 No 5: Oktober 2018
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (117.037 KB) | DOI: 10.25126/jtiik.2018551138

Abstract

AbstrakTeknologi video surveillance system atau kamera pengawas sudah menjadi alat yang sangat penting karena mayoritas kebutuhan masyarakat sekarang ini menginginkan informasi yang cepat untuk diakses serta praktis dalam penggunaannya. Dalam penelitian ini sebuah protokol H.264 dipergunakan dalam memproses video streamingpada video surveillance systemyang berfungsi sebagai pengirim dan pengontrol paket data streamingdari kamera pengawas ke penerima yaitu sebagai user video surveillance system. Analisis frame videopada protokol H.264 dilakukan pada live streaming server berupa embedded system yang terintegrasi pada video surveillance systemdengan kamera pengawas. Dari hasil uji coba menunjukan bahwa Protokol H.264 memberikan kompresi kualitas videoyang baik, sehingga implementasi Video Streaminglalu lintas kendaraan ini menjanjikan dapat membantu memudahkan masyarakat dalam mendapatkan informasi dan juga mengetahui kondisi lalu lintas secararealtime serta efektif dan efesien. Implementasi Video streamingsecara realtimeini memantau kondisi lalu lintas di suatu Lokasi dengan pendeteksi ketersediaan kamera CCTV (Closed Circuit Television)dan Raspberry pisebagai server.  AbstractTechnology of video surveillance system has become a very important tool because the majority of the needs of today's society want information that is fast to access and practical in its use. In this study an H.264 protocol is used in processing video streaming in video surveillance system that functions as a sender and controller of streaming data packets from surveillance camera to receiver that is as user video surveillance system. The frame video analysis of the H.264 protocol has performed on a live streaming server in the form of embedded systems integrated in video surveillance system with surveillance cameras As a result, the system shows that the H.264 protocol provides good video quality compression, so the implementation of Video Streaming traffic this vehicle promises to help facilitate the public in getting information and also know the real time traffic conditions as well as effective and efficient. Implementation streaming video in real time this monitor traffic conditions in a location with the detection of the availability of CCTV (Closed Circuit Television) and Raspberry Pi cameras as a server.
The Genetic Diversity of Bali Sardinella (Sardinella lemuru) Caught at Bali Strait and Its Possible Relation to The Ocean Circulation Sartimbul, Aida; Hendiari, I Gusti Ayu Diah; Arthana, I Wayan; Kartika, Gde Raka Angga; Winata, Victor Adi; Pranowo, Widodo Setiyo; Susanto, Raden Dwi; Rohadi, Erfan; Muslihah, Nurul; Yona, Defri; Iranawati, Feni
Jurnal Ilmiah Perikanan dan Kelautan Vol. 17 No. 2 (2025): JURNAL ILMIAH PERIKANAN DAN KELAUTAN
Publisher : Faculty of Fisheries and Marine Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jipk.v17i2.56670

Abstract

Graphical Abstract Highlight Research A low sequence divergence of lemuru between Bali Strait and the northern latitude. S. lemuru migration route through ITF will maintain its nucleotide variation. The high haplotype diversity of lemuru is a testament to its adaptability. S. lemuru's high haplotype diversity supports their stock recovery in the Bali Strait. Two sardine species are morphologically and genetically highly distinct, even though they prefer overlapping water mass conditions from each other. Abstract Sardinella lemuru is known as the native pelagic fish of the Bali Strait. However, its presence has recently become challenging to find. This study aimed to validate S. lemuru using molecular taxonomy and link it to water circulations for sustainable management. It is the first study of relatively complete sequence data on S. lemuru in the Bali Strait. A total of 47 sequences were amplified using the control region gene of mitochondrial DNA. Other S. lemuru (n = 4) and Amblygaster sirm (n = 12) sequences were retrieved from GenBank. Low sequence divergence is observed in clade-1 of S. lemuru across the Bali Strait, Manado-Sulawesi, and Kudat-Malaysia. This is probably due to its migration using the main Indonesian ThroughFlow (ITF). There is an evolutionary divergence between two groups of S. lemurs, measuring 35.3%±4.1. The first signs of these cryptic groups were found at Canggu and Prigi, with 87 base-pair differences between the two groups. This study also presents strong evidence that A. sirm prefers overlapping water mass conditions with S. lemuru in the Bali Strait but is morphologically and genetically distinct. Notably, three samples of A. sirm in Kedonganan-Bali are clustered with other A. sirm locations passed by the primary and secondary South China Sea throughflow. The high genetic diversity of S. lemuru among Bali Strait sites demonstrates its adaptive ability, with scattered single-frequency haplotypes. The adaptive ability traits of S. lemuru support its stock recovery. The stock recovery recommendation is based on finding S. lemuru’s adaptive traits within their populations in suitable habitats and climatic conditions
THE IMPLEMENTATION OF THE OJIR APPLICATION AT CENTRAL WASTE BANK IN MALANG DISTRICT FOR THE MANAGEMENT OF HOUSEHOLD-SCALE ORGANIC WASTE DIVERSIFICATION PROCESSES Nurhasan, Usman; Rohadi, Erfan; Nurindrasari, Diana; Arianto, Rakhmat; Pradibta, Hendra
Abdi Dosen : Jurnal Pengabdian Pada Masyarakat Vol. 7 No. 4 (2023): DESEMBER
Publisher : LPPM Univ. Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32832/abdidos.v7i4.2163

Abstract

The Ojir application, a mobile-based innovation for organic waste management at Central Malang Waste Bank (BCM), provides an effective solution to streamline the collection and management of organic waste. Addressing environmental concerns such as food scraps, dry leaves, and fruits, the application responds to Ministry of Environment and Forestry (KLHK) data indicating that approximately 61.50% of total waste is organic, necessitating efficient management to reduce waste volume. Established in 2016, BCM faced challenges in manual data management and limited organic waste search capabilities. To address these issues, Ojir was introduced to modernize the organic waste management system. This innovation surpasses traditional waste management by incorporating a process of diversifying organic waste into maggot raw material. Beyond resolving existing waste bank issues, Ojir enhances management efficiency, allowing users to easily track and manage organic waste with increased accuracy. Consequently, the paradigm of organic waste management shifts towards modernity, effectiveness, and efficiency. Aligned with efforts to create a clean and sustainable environment, Ojir represents an innovative step in reinforcing the role of waste banks in handling organic waste in the technological era. The incorporation of the maggot raw material process further exemplifies the forward-thinking approach in sustainable waste management
Co-Authors Abdurrahman, Raka Admiral Adhitama, Dodik Widya Aida Sartimbul Aliviyanti, Dian Amalia Amellia Kurniaty Ananta, Ahmadi Yuli Ardelia Annisa Larasati Ardelia Annisa Larasati, Ardelia Annisa Arief Prasetyo Arief Prasetyo Astiningrum, Mungki Awan Setiawan Bobby Risaldo Agung Putra Budiarti, Arry Chrissandy, Farif Christine, Anastasia Merry Defri Yona Dian Aulia Fitri Dodo Irmanto Dwi Candra Pratiwi Eka Apriani, Meyti Ekojono Ekojono Ekojono Ekojono, Ekojono Erlangga Adha Widyatama Faza, Sabilah Felixtha Robertus Ginting Feni Iranawati, Feni Fitri, Dian Aulia Gde Raka Angga Kartika Ginting, Felixtha Robertus Hapsari, Ratih Indri Hendiari, I Gusti Ayu Diah Hendra Pradibta I Wayan Arthana Ika Dyah Rahmawati Ilham Agung Wicaksono Imam Fahrur Rozi Indrazno Siradjuddin Irawan, Ferry Buyung Bakhtiar Irena Putri Savira Kristinanti Charisma Laili, Nisa Hidayatul Mansyur Mansyur Mansyur Mansyur Mohammad Faried Rahmat Nalendra, Adimas Ketut Nisa Hidayatul Laili Nugroho, Tommy Purwantoro Nurindrasari, Diana Nurul Muslihah Prabowo, Choirul Rio Pratiwi, Dwi Candra Putra Prima Arhandi, Putra Prima R. Farah Dini Qoyyimah Rahmad, Cahya Rahmat, Mohammad Faried Rakhmat Arianto Ratna Ika Putri Rizky Ardiansyah RIZKY ARDIANSYAH Ronilaya, Ferdian Rosa Andrie Asmara Rosidatul Amala Rudy Ariyanto Sabilah Faza Sapto Wibowo Sapto Wibowo Saputra, Zainal Ulu Prima Sholiha, Afifah Siradjuddin, Indrazno Siti Muzdalifatus Sa’adah Susanto, Raden Dwi Syarifah Julinda Saria Syarifah Julinda Saria, Syarifah Julinda Tommy Purwantoro Nugroho Usman Nurhasan Widito, Sasmojo Widodo S Pranowo Winata, Victor Adi Yan Watequlis Syaifudin Zakaria, Arief Syukron