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All Journal Jupiter TEKNOLOGI: Jurnal Ilmiah Sistem Informasi Bulletin of Electrical Engineering and Informatics Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Informatika dan Teknik Elektro Terapan RABIT: Jurnal Teknologi dan Sistem Informasi Univrab JURNAL MEDIA INFORMATIKA BUDIDARMA Jurnal Penelitian Pendidikan IPA (JPPIPA) Journal Information System Development Jurnal Teknoinfo JURIKOM (Jurnal Riset Komputer) Logista: Jurnal Ilmiah Pengabdian Kepada Masyarakat Jurnal Informatika Global Building of Informatics, Technology and Science Jurnal Teknologi Dan Sistem Informasi Bisnis JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal E-Komtek Journal of Computer System and Informatics (JoSYC) Journal of Informatics, Information System, Software Engineering and Applications (INISTA) Teknika Journal of Applied Data Sciences Jurnal Jaring SainTek ICTEE (Engineering Journals of Information, control, telecommunication and electrical) Operations Research: International Conference Series Journal of Engineering and Applied Technology Bulletin of Computer Science Research Jurnal Pengabdian Masyarakat Waradin eProceedings of Engineering Jurnal Abdimas Indonesia Jurnal INFOTEL
Ariq Cahya Wardhana
Universitas Telkom, Purwokerto
Agriculture, Biological Sciences & Forestry Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Other

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Journal : Building of Informatics, Technology and Science

 1 
Sistem Pintar Penyiram Tanaman Menggunakan Teknologi IoT dan Fuzzy Inference System dalam Rangka Mewujudkan Green Campus di UIN Syarif Hidayatullah Jakarta Nenny Anggraini; Kahfi Del Vieri; Luh Kesuma Wardhani; Ariq Cahya Wardhana; Deny Saputra
Building of Informatics, Technology and Science (BITS) Vol 4 No 2 (2022): September 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i2.2227

Abstract

In recent years, there has been a change in climate which has had quite a negative impact on various sectors of life. The existence of extreme climate change has become a widely discussed issue, including at the university level. The academic community as agents of change should be an example of sustainable development in the campus environment. One of the efforts to realize the concept of sustainable development is to apply the Green Campus concept. Several indicators in realizing a green campus are campus management policies that are oriented towards environmental management, including activities to save water, paper, and electricity, procurement of Green Open Space (RTH), and waste management by applying the 3R principles (reduce, reuse, recycle). UIN Jakarta currently focuses on the green environment, which focuses on activities related to the conservation and maintenance of environmental quality in all energy and natural resource consumption activities. However, the frequent changes in weather, shifts in the seasons, and the size of the land that must be maintained have made watering plants unable to rely on human labor alone. Moreover, the pandemic conditions in Indonesia have caused almost all employees to work from home, so plant maintenance will be hampered for plant watering activities. In this regard, this research proposes the creation of an automated plant watering system using a Fuzzy Inference System. The experiment was carried out using input from three scenarios including soil moisture sensors, temperature sensors, and rain sensors on the output valve. From the experiments carried out, the expected valve output is in accordance with that produced by the raspberry pi. Such as when the ground is dry, the weather is not raining, and the temperature is moderate, the valve remains on according to the fuzzy rules that have been made. The results of the study noted that this tool was in accordance with what was needed and could operate properly
Pengembangan Sistem Pendeteksi Masker Sesuai Protokol Kesehatan dengan Algoritma Mobilenetv2 dan Raspberry Pi Imam M Shofi; Luh Kesuma Wardhani; Nenny Anggraini; Nashrul Hakiem; Denny Saputra; Ariq Cahya Wardhana
Building of Informatics, Technology and Science (BITS) Vol 4 No 2 (2022): September 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i2.2250

Abstract

A new type of human coronavirus was discovered in December 2019 in Wuhan, China. In humans, coronaviruses usually cause respiratory tract infections, ranging from the common cold to serious diseases such as Middle East Respiratory (MERS) and Severe Acute Respiratory Syndrome (SARS). This new type of coronavirus was later named Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-COV2) and caused Coronavirus Disease-2019 (COVID-19). COVID-19 can cause mild to severe symptoms. So, wearing a mask and keeping a distance is very important to stop the spread of COVID-19. In previous research, a deep learning model has been developed to identify whether the person is wearing a mask or not. In previous studies, the classification was limited to whether humans wore masks or not. There is no classification as to whether the use of masks is right or wrong and whether the masks worn are masks that are in accordance with the recommendations of the Ministry of Health. So that in this study, the detection system for the use of masks is able to detect the use of masks in accordance with the recommendations of the Indonesian Ministry of Health which refers to the interim WHO Guidelines June 5, 2020, regarding recommendations regarding the use of masks in the context of COVID-19, namely the use of cloth masks, medical masks, and masks. can ensure the cover of the mouth and nose, and adjust to the bridge of the nose. The result is a system with the SSDLite Mobilenet V2 model has the highest FPS compared to a system using a system with SSDMNV2. That is, the maximum FPS obtained is 3.57 FPS and the minimum FPS is 3.45 FPS
Co-Authors Ade Yanyan Ramdhani Aditya Abi Riestianto Aditya Pratomo Sutrisno Afzal Ziqri Agustyn, Zulfa Basmallah Aiza Yudha Pratama Ajeng Dyah Kurniawati Akhmad Jayadi Al Fikri, Mufid Alhakim, Rahmat Alon Jala Tirta Segara Ananda Rifkiy Hasan Andhika Prasetyo Utomo Andi Prademon Yunus Anggraini, Nenny Arif Riyandi Aufa Rizka Azzumi Aulia Hanafi, Alya Auliya Burhanuddin Bagus Aryandra, Brahmasta Bintang Ahmada Farhan Adama Cepi Ramdani Cintiari Devi , Pramita Condro Kartiko Denny Saputra Deny Saputra Diovianto Putra Rakhmadani Fadlan Sani Mubarok Faisal Dharma Adhinata Fala Sifah Maharani Fauzan Romadlon Gracia Rizka Pasfica Hasan, Thowaf Fuad Hesa Abda Arrasyid I Anna Tul Munikhah Imam M Shofi Jilly Ayu Puspita Kahfi Del Vieri Kamila, Ahya Radiatul Kukuh Pramadito Raharjo Kusuma, Adi Wahyu Candra Latief, Muhammad Abdul Luh Kesuma Wardhani Maie Istighosah Melani Eka Rahayu Muhammad Amien Sidiq Muhammad Ridwan Muhammad Yusuf Nurpariz Nashrul Hakiem Nastiti Nur Indrayani Nenny Anggraini, Nenny Novian Adi Prasetya Novian Adi Prasetyo Nurul Adila Pambudi, Wendri Tri Puspa Diah Narendri, Azelia Restu Indrawan Prabawa, I Putu Revaldo, Danny Rifki Adhitama, Rifki Rini Adelina Siagian Rizki Hadi, Rizki Rosalina Alda Rozy, Nurul Faizah Siti Ummi Masruroh Sofia, Martryatus Sri Wahjuni Suparyo Suparyo Syifa' Septiana Dwi Inayah Tampinongkol, Felliks Feiters Teguh Rijanandi Teguh Rijanandi Tenia Wahyuningrum Teotino Gomes Soares Tio Fani Tio Fani Wahyu Andi Saputra Windi Septiani Yani Nurhadryani Yogo Dwi Prasetyo Yolanda Al Hidayah Pasaribu Yudha Islami Sulistya Yuliani, Asty