Articles
<![CDATA[Sistem Informasi Perpustakaan Berbasis Web Kabupaten Demak ]]>
<![CDATA[Kholik, Nur]]>;
<![CDATA[Adhiwibowo, Whisnumurti]]>
<![CDATA[ Information Science and Library Vol. 3 No. 1 (2022): Juni ]]>
Publisher : <![CDATA[UPT Perpustakaan Universitas Semarang ]]>
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DOI: 10.26623/jisl.v3i1.5106
<![CDATA[Perpustakaan adalah salah satu unit kerja yang berupa tempat untuk mengumpulkan, menyimpan, mengelola dan mengatur koleksi bahan pustaka secara sistematis untuk digunakan oleh pengguna sebagai sumber informasi sekaligus sebagai sarana belajar yang menyenangkan. Namun pada Perpustakaan SDN Surodadi 1 semua kegiatan pendataan peminjaman maupun pengembalian buku masih bersifat manual atau masih menggunakan buku catatan dan akan mudah hilangnya data peminjaman serta mempersulit petugas perpustakaan dalam mencari data buku yang akan dipinjam. Oleh karena SDN Surodadi 1 perlu membuat sistem perpustakaan di SDN Surodadi 1. Metode penelitian yang dilakukan oleh penulis dalam melakukan penelitian meliputi studi lapangan dan studi pustaka. Studi lapangan meliputi wawancara dan pengamatan. Studi pustaka dilakukan dengan penelitian kepustakaan yang relevan dengan masalah yang dihadapi penulis. Metode pengembangan sistem yang digunakan dalam pembuatan sistem ini adalah metode Prototype. Sistem ini dibuat dengan menggunakan bahasa pemrograman PHP, MySQL dan CodeIgniter 3. Dengan adanya system ini diharapkan dapat meningkatkan kinerja sekolah dalam pengelolaan data perpustakaan serta dapat mempermudah pendataan dan peminjaman maupun pengembalian pada perpustakaan.The library is a work unit in the form of a place to collect, store, manage and organize a collection of library materials systematically to be used by users as a source of information as well as a fun learning tool. However, at the SDN Surodadi 1 Library, all data collection activities for borrowing and returning books are still manual or still using notebooks and it will be easy to lose borrowing data and make it difficult for librarian to find data for books to be borrowed. Therefore, SDN Surodadi 1 needs to create a library system at SDN Surodadi 1. The research method used by the author in conducting research includes field studies and literature studies. Field studies include interviews and observations. Literature study was carried out with library research relevant to the problems faced by the author. The system development method used in the manufacture of this system is the Prototype method. This system is made using the programming languages PHP, MySQL and CodeIgniter 3. With this system, it is expected to improve school performance in managing library data and can facilitate data collection and borrowing and returning to the library.]]>
<![CDATA[PEMANTAUAN TINGKAT KARBON MONOKSIDA DENGAN SENSOR MQ-9 STUDI KASUS UNIVERSITAS SEMARANG ]]>
<![CDATA[Hirzan, Alauddin Maulana]]>;
<![CDATA[Adhiwibowo, Whisnumurti]]>;
<![CDATA[Daru, April Firman]]>
<![CDATA[ JURNAL TEKNOLOGI INFORMASI DAN KOMUNIKASI Vol 15 No 2 (2024): September ]]>
Publisher : <![CDATA[UNIVERSITAS STEKOM ]]>
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DOI: 10.51903/jtikp.v15i2.741
<![CDATA[Emisi merupakan hal yang sangat serius untuk di atasi, emisi gas karbon monoksida merupakan sisa dari kombusi yang dilakukan oleh kendaraan bermotor seperti motor maupun mobil. Gas ini bersifat tidak berbau maupun berwarna, namun mematikan dalam dosis yang tinggi. Sehingga perlu penanganan serius untuk memantau gas jenis ini. Universitas Semarang merupakan salah satu universitas dengan jumlah mahasiswa terbanyak di Jawa Tengah, maka secara otomatis pengendara kendaraan bermotor pun ikut meningkatkan kandungan gas karbon monoksida di area parkir. Oleh karena itu, penelitian ini memiliki tujuan untuk mendesain sebuah purwarupa deteksi karbon monoksida dengan menggunakan teknologi Internet of Things yang dapat melaporkan ketika terdapat kandungan gas di udara. Model ini dilengkapi dengan sensor MQ-9 yang mampu mendeteksi gas karbon monoksida lebih akurat dibandingkan model-model sebelumnya. Berdasarkan hasil evaluasi yang dilakukan, model ini mampu mendeteksi gas dengan rata-rata 4,17 ppm dari 55 data deteksi yang ada dan tersimpan di Firebase Realtime Database. Dari semua data yang ada, model mendeteksi puncak tertinggi mencapai 18,365 ppm. Meskipun terdapat kenaikan kandungan gas, namun hasil ini masih di bawah batas aman yang dianjurkan. Selain itu, hasil terakhir yang didapatkan dari model ini adalah notifikasi pelaporan yang disampaikan melalui Telegram Bot.]]>
<![CDATA[Arowana cultivation water quality monitoring and prediction using autoregressive integrated moving average ]]>
<![CDATA[Daru, April Firman]]>;
<![CDATA[Susanto, Susanto]]>;
<![CDATA[Adhiwibowo, Whisnumurti]]>
<![CDATA[ International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 13, No 3: November 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijres.v13.i3.pp665-673
<![CDATA[Decorative fish is a fish that humans keep for amusement. There are many decorative fish that exist in this world, one of them is known as the Arowana fish (Scleropages Formosus). This fish is known around Asia including in Indonesia. However, to ensure the Arowana is living well is not easy. The water quality inside a farm must follow a strict balance. The pH of the water must not exceed or below 7 pH. Meanwhile, the total dissolved solid (TDS) salt must not exceed 1000 parts per million. If the balance collapsed, the Arowana fish will not grow. Thus, the owner must monitor the water to make sure that the water is ideal. There were many approaches including internet of things (IoT) solutions. However, they have weaknesses with prediction. Because of this reason, this study designed pH and TDS monitoring with autoregressive integrated moving average (ARIMA) as the algorithm. To achieve the solution, this study used experiment methodology as the research fundamental from top to bottom. According to the evaluation, this study found that the accuracy of ARIMA model is 98.12% for pH and 98.86% for TDS. On the contrary, the seasonal autoregressive integrated moving average (SARIMA) model has an accuracy of 98.52% for pH and 99.89% for TDS.]]>
<![CDATA[PENINGKATAN KEAMANAN DATA END-TO-END SMART DOOR MENGGUNAKAN ADVANCED ENCRYPTION STANDARD ]]>
<![CDATA[Adhiwibowo, Whisnumurti]]>;
<![CDATA[Hirzan, Alauddin Maulana]]>;
<![CDATA[Suprayogi, Muhammad Sani]]>
<![CDATA[ Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Vol. 6 No. 2 (2022) ]]>
Publisher : <![CDATA[P3M Politeknik Negeri Banjarmasin ]]>
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DOI: 10.31961/eltikom.v6i2.574
<![CDATA[Smart Home is one form of implementation of Internet of Things technology in the form of smart homes that can carry out management, monitoring, even reporting. In addition, smart homes can be equipped with security equipment such as Smart Door that can open or lock the door automatically when recognizing the homeowner's face. However, the current Smart Door model has a disadvantage where the stored data on the server and the device are not secured end-to-end. The homeowners' image data on the device is not encrypted with a specific algorithm and validation. Thus, the outside parties can use this high-risk problem to enter the house unnoticed. They disguised themselves as the homeowner by entering false data on the device. Based on this problem, this study has a purpose to increase the model's end-to-end security by implementing the Advanced Encryption Standard algorithm. In addition to increase the security level, the Truncated Decimal-converted SHA-1 checksum validation is added to prevent modifications in each image data. From the results of the model comparison experiment, there was an increase in device resource needs as much as 0.81% increase in process time; 18% CPU usage; 5.3% data usage; and 5.04% for the use of the entire process of memory. But the increase in performance needs is not comparable to the security features presented by the Advanced Encryption Standard algorithm in securing data and servers. So that with improvisation this security is expected to improve the data security of homeowners from outside parties.]]>
<![CDATA[Korelasi CO2 Terhadap Suhu dan kelembapan Dengan Multivariate Linear Regression ]]>
<![CDATA[Adhiwibowo, Whisnumurti]]>;
<![CDATA[Warsito, Budi]]>;
<![CDATA[Wibowo, Adi]]>
<![CDATA[ Jurnal Transformatika Vol. 21 No. 2 (2024): Januari 2024 ]]>
Publisher : <![CDATA[Jurusan Teknologi Informasi Universitas Semarang ]]>
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DOI: 10.26623/transformatika.v21i2.5230
<![CDATA[Sekarang ini keadaan udara di daerah perkotaan sudah sangat tercemar oleh polusi. Semakin banyak gas CO2 yang mulai menyebar ke udara dapat menyebabkan meningkatnya suhu udara.. Hal ini dikarenakan bahwa CO2 dapat meningkatkan suhu di permukaan bumi. CO2 mempunyai peran yang dapat menyebabkan pemanasan global karena gas CO2 mempunyai di udara bebas dan dapat menyerap panas Matahari sehinggs suhu Bumi meningkat dampak pencemaran udara seperti asap kendaraan, asap rokok, asap dari pembakaran pabrik, dan kontribusi terbesar dalam pemanasan global mempunyai pengaruh sebesar 50% dan mempunyai lama hidup 50 200 tahun di atmosfer. Peningkatan suhu udara dan konsentrasi CO2 merupakan masalah yang sering terjadi pada daerah perkotaan dimana salah satunya adalah meningkatnya jumlah kendaraan bermotor sehingga konsentrasi CO2 juga ikut meningkat. Dengan melihat korelasi CO2 Terhadap Suhu dan kelembapan Dengan mengunakan Multivariate Linear Regression, kita dapat melihat bagaiman korelasi antara suhu serta kelembapan. Regresi linier multivariat merupakan model regresi linier dengan lebih dari satu variabel respon Y berkorelasi dan satu atau lebih variabel prediktor X. Hasil penelitian menunjukkan bahwa Dalam penelitian tersebut dikatakan bahwa terdapat korelasi antara CO2 suhu serta cahaya. ]]>
<![CDATA[Pengembangan Sistem IoT Pengukur CO pada Kendaraan: Analisis Varian Emisi ]]>
<![CDATA[Nur Rohman, Muhammad Alfa]]>;
<![CDATA[Subianto, Rohy Bimo]]>;
<![CDATA[Adhiwibowo, Whisnumurti]]>
<![CDATA[ Jurnal Pengembangan Rekayasa dan Teknologi Vol. 8 No. 1 (2024): Mei (2024) ]]>
Publisher : <![CDATA[Universitas Semarang ]]>
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DOI: 10.26623/jprt.v8i1.8455
<![CDATA[Penelitian ini mengembangkan alat pengukur konsentrasi gas karbon monoksida (CO) berbasis Internet of Things (IoT) dengan sensor MQ-7 dan mikrokontroler NodeMCU ESP8266. Alat ini menyimpan data secara real-time pada database Firebase, dapat diakses melalui aplikasi mobile. Rekayasa metodologi meliputi desain konsep, detail desain, prototipe, dan instrumen pengujian. Hasil alat menunjukkan memberikan informasi konsentrasi CO secara real-time dan dapat mengidentifikasi kombinasi sistem pembakaran dan bahan bakar dengan konsentrasi terendah dan tertinggi. Klasifikasi menggunakan model Decision Tree Classifier dengan akurasi 60%. Penelitian ini kontributif dalam pengembangan pemantauan emisi gas kendaraan bermotor melalui pendekatan IoT yang efektif.]]>
<![CDATA[Internet of things based seasonal auto regression integrated moving average model for hydroponic water quality prediction ]]>
<![CDATA[Daru, April Firman]]>;
<![CDATA[Susanto, Susanto]]>;
<![CDATA[Adhiwibowo, Whisnumurti]]>;
<![CDATA[Hirzan, Alauddin Maulana]]>
<![CDATA[ International Journal of Advances in Applied Sciences Vol 14, No 1: March 2025 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijaas.v14.i1.pp123-131
<![CDATA[Technological progress significantly impacts agriculture, with the rapid expansion of industrial and residential areas leading to a scarcity of agricultural land. Modern farming techniques like hydroponics have emerged as a solution, allowing plant growth with water as a medium. Real-time monitoring of water quality is crucial for hydroponic systems. Lettuce (Lactuca sativa) is particularly compatible with hydroponics due to its short growth cycle and nutritional value. Key factors for successful cultivation include maintaining pH, temperature, and nutrient levels within optimal ranges. To address water quality monitoring complexities, internet of things (IoT) technology offers a promising solution. IoT devices autonomously gather environmental metrics such as temperature, pH, humidity, and nutrient concentrations. This study integrates an IoT-driven hydroponic water quality monitoring system using the seasonal auto-regressive integrated moving average (SARIMA) algorithm and the ESP32 microcontroller. This approach allows real-time water quality management, enhancing lettuce cultivation efficiency and productivity. The proposed model achieved 98.6% accuracy, effectively predicting water quality.]]>
<![CDATA[Perancangan Alat Ukur Emisi Carbon Monoxide Berdasarkan Jenis Bahan Bakar Minyak Honda Vario 150 di Universitas Semarang: Design of Carbon Monoxide Emission Measurement Tool Based on Honda Vario 150 Fuel Type at Semarang University ]]>
<![CDATA[Yahya, Ahmad]]>;
<![CDATA[Islah, Muhammad Amirul]]>;
<![CDATA[Adhiwibowo, Whisnumurti]]>
<![CDATA[ MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 4 No. 4 (2024): MALCOM October 2024 ]]>
Publisher : <![CDATA[Institut Riset dan Publikasi Indonesia ]]>
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DOI: 10.57152/malcom.v4i4.1667
<![CDATA[Pencemaran udara di Kota Semarang, ibukota Provinsi Jawa Tengah, telah menjadi masalah serius seiring dengan pesatnya pertumbuhan jumlah kendaraan bermotor dan kegiatan industri. Penelitian ini bertujuan untuk mengukur dan menganalisis dampak emisi gas buang kendaraan bermotor terhadap kualitas udara di lingkungan Universitas Semarang, dengan fokus pada emisi karbon monoksida (CO) yang dihasilkan oleh berbagai jenis bahan bakar. Alat ukur emisi berbasis Internet of Things (IoT) menggunakan sensor gas MQ-7 dan NodeMCU ESP8266 dikembangkan untuk mendeteksi tingkat emisi secara real-time. Hasil penelitian menunjukkan bahwa kendaraan bermotor, khususnya yang menggunakan bahan bakar 'Pertalite', berkontribusi signifikan terhadap tingginya emisi CO. Analisis menggunakan model regresi pohon keputusan (Decision Tree Regression) menunjukkan bahwa bahan bakar 'Pertamax' memiliki tingkat emisi CO yang lebih rendah, dengan squared error sebesar 162.544 dibandingkan dengan 'Pertalite' yang mencapai 433.496. Selain itu, alat pengukur emisi ini memberikan solusi efektif untuk memantau tingkat polusi udara di area kampus, yang dapat membantu pengambilan keputusan terkait pengelolaan lingkungan dan pemilihan bahan bakar yang lebih ramah lingkungan. Berdasarkan hasil penelitian ini, disarankan untuk meningkatkan pemantauan emisi kendaraan bermotor serta mendorong penggunaan bahan bakar yang lebih ramah lingkungan, seperti 'Pertamax', guna mengurangi dampak negatif pencemaran udara di lingkungan kampus.]]>
<![CDATA[Temperature and Humidity Monitoring Using DHT22 Sensor and Cayenne API ]]>
<![CDATA[Adhiwibowo, Whisnumurti]]>;
<![CDATA[Daru, April Firman]]>;
<![CDATA[Hirzan, Alauddin Maulana]]>
<![CDATA[ Jurnal Transformatika Vol. 17 No. 2 (2020): January 2020 ]]>
Publisher : <![CDATA[Jurusan Teknologi Informasi Universitas Semarang ]]>
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DOI: 10.26623/transformatika.v17i2.1820
<![CDATA[Internet of Thing is a new technology which enables small processing-capable devices to capture or retrieve information from a sensor and send the data to the central computer. This technology is useful for any sector especially agriculture, IoT can be used as monitoring or/and controlling the condition inside the cultivation. There are many kinds of agriculture cultivations, some of them have strict conditions due to the growth requirements. Oyster mushroom cultivation is one of many cultivations which requires strict temperature and humidity needed by oyster mushroom to growth optimal. The temperature inside the cultivation must be within 25 °C until 30 °C and humidity within 70% RH until 90% RH. Due to these strict requirements, the farmers required to check their cultivations every day and manually maintain the temperature and humidity, and this situation becomes a problem when the farmers own many cultivations. Hence, this research has a purpose to design an automatic monitoring system based on Internet of Things technology which utilizing the DHT22 sensor and Cayenne API as information retrieval medium to the computer. When using this device, the farmers can check their cultivation in the meantime without going inside the cultivation. This device will connect to the internet through wireless connectivity and send the captured information by the sensor to the farmers. The stored data from the cultivation can be exported as a CSV format if the farmers want to check the temperature and humidity statistic. The retrieved information from the sensor also displayed on the LCD attached to the device to ease the information reading near the cultivation.]]>
<![CDATA[Voice Over Internet Protocol Performance Evaluation in 6to4 Tunneling Network ]]>
<![CDATA[Hirzan, Alauddin Maulana]]>;
<![CDATA[Bahaman, Nazrulazhar]]>;
<![CDATA[Adhiwibowo, Whisnumurti]]>
<![CDATA[ Jurnal Transformatika Vol. 18 No. 1 (2020): July 2020 ]]>
Publisher : <![CDATA[Jurusan Teknologi Informasi Universitas Semarang ]]>
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DOI: 10.26623/transformatika.v18i1.2356
<![CDATA[Registry reported that their regional already in exhausted state. The IPv6 was proposed to substitute IPv4 network, but the implementation of this version cased many problems such as hardware compatibility. As temporary solution to this problem, 6to4 tunneling transition mechanism is introduced as one of many solutions. This mechanism used IPv4 network as communication media between two IPv6 networks. Thus, this kind of mechanism will affect the performance of Voice over Internet Protocol. VoIP demanded real-time communication by using UDP protocol between nodes. Unlike normal communication mode, real-time mode required data to be sent immediately ignoring the quality of data. This research evaluated the performance of 6to4 tunneling mechanism for Voice over Internet Protocol s communication between two nodes in native IPv6 networks. ]]>
