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Perancangan Alat Pembacaan Meter Air PDAM Menggunakan Arduino Uno Dewi Lestari; Yaddarabullah Yaddarabullah
Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics Al-Fiziya: Journal of Materials Science, Geophysics, Instrumentation and Theoretical Physics | Vol.1
Publisher : Physics Study Programme, Faculty of Science and Technology UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (278.676 KB) | DOI: 10.15408/fiziya.v1i2.9031

Abstract

Kebutuhan akan air oleh masyarakat semakin meningkat, sehingga penggunaan air yan berlebihan sering terjadi. Oleh karena itu perlu dibuatkan alat untuk pengendalian air PDAM agar penggunaan air dapat dilakukan lebih hemat dan efisien. Pada penelitian ini dibuatlah sistem pengendalian air PDAM dengan arduino uno yang menggunakan sensor flowmeter untuk pengukuran volume dan debit air, pompa air serta LCD untuk tampilan volume air dan debit air. Sehingga dapat diketahui dalam sehari berapa banyak liter air yang digunakan untuk kebutuhan hidup. Berdasarkan hasil pengujian, didapatkan nilai accurancy untuk volume sebesar 95.6% - 96.8 % yaitu dengan membandingkan nilai volume pembaca di arduino dan volume perhitungan manual dan  nilai accurancy untuk debit air adalah 95.6 %. Sehingga dapat dikatakan semakin tinggi nilai flowrate maka nilai error semakin kecil dan sebaliknya semakin rendah nilai flowrate maka nilai error semakin besar. 
Perancangan Sistem Komunikasi Data Alat Pencatatan Meter Air Digital Berbasis Service Oriented Architecture Yaddarabullah Yaddarabullah; Dewi Lestari
InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Vol 3, No 1 (2018): InfoTekJar September
Publisher : Universitas Islam Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30743/infotekjar.v3i1.665

Abstract

Sistem pemantauan meter air PDAM saat ini masih dilakukan secara manual, yaitu pemantauan meter air dilakukan dengan dikunjungi oleh petugas PDAM secara berkala dalam sebulan sekali sehingga pencatatan meter air rentan dari kesalahan dan tidak akurat. Teknologi internet of things dapat menjadi solusi dalam pencatatan meter air, dengan demikian pencatatan dapat dilakukan secara otomatis dan dapat dipantau langsung dari aplikasi. Pencatatan data dari perangkat internet of things kedalam aplikasi membutuhkan sistem komunikasi data antara lain MQTT dan Socket Connection. Namun sistem komunikasi data yang telah dipakai memiliki kekurangan yaitu tidak dapat dikustomisasi untuk multiplatform. Pada penelitian ini dilakukan riset dan pemodelan terhadap penggunaan sistem komunikasi data yang lain yaitu Service Oriented Architecture agar dapat mendukung multiplatform yang diaplikasikan pada perangkat pencatatan meter air PDAM
Pendampingan Pengembangan Usaha Berbasis Teknologi Informasi Untuk Pemberian Pakan Konsentrat Yaddarabullah Yaddarabullah; Erneza Dewi Krishnasari
BERDAYA: Jurnal Pendidikan dan Pengabdian Kepada Masyarakat Vol 2 No 2 (2020)
Publisher : LPMP Imperium

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36407/berdaya.v2i2.174

Abstract

This activity aims to provide knowledge to Agribusiness department students in developing an information technology-based business aimed at providing concentrate feed. The mentoring provided included how to create an action plan, analyze business models, arrange budget and production needs, build cooperation, and develop Android platform-based applications. This mentoring is given in order to succeed in Agribusiness department students who qualify for a grant from Kemenristekdikti with the Indonesia Student Business Competition (KBMI) scheme in 2019. The result of this mentoring is that students can have sufficient knowledge and resources in running their business.Keywords: Business Development Based on Information Technology, Concentrate Feed
Modifikasi Algoritme Bellman-Ford Untuk Pencarian Rute Terpendek Berdasarkan Kondisi Jalan Yaddarabullah Yaddarabullah
Jurnal Teknologi dan Sistem Komputer Volume 7, Issue 3, Year 2019 (July 2019)
Publisher : Department of Computer Engineering, Engineering Faculty, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (301.168 KB) | DOI: 10.14710/jtsiskom.7.3.2019.109-115

Abstract

The application of the Bellman-ford algorithm for finding the shortest path both weighted and unweighted graph has a weakness in determining the shortest path based on road conditions. This study modified the Bellman-Ford algorithm by adding the Technique for Order of Preference by Similarity to the Ideal Solution method to provide alternative road assessments based on its condition criteria including road density, road width, travel time, and distance. This modified Bellman-Ford has better performance in finding the alternative shortest path by choosing a road with smoother conditions, even though distance and travel time increase.
Sistem Pendukung Keputusan Pemberian Reward Kepada Kurir di Jakarta Utara Menggunakan Profile Matching Randy Teguh Waluya Nugraha; Budi Arifitama; Yaddarabullah Yaddarabullah
JURNAL INTEGRASI Vol 13 No 1 (2021): Jurnal Integrasi - April 2021
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/ji.v13i1.2535

Abstract

Courier employees in an expedition company are an important asset for the company. Each Courier has a daily productivity performance to aim with a perfect score (100%) to gain a reward. However, an assessment based only on productivity performance cause problems, where it is impossible to achieve a perfect productivity score to get a reward. This research focus to improve the rewarding system using a decision support system by adding other aspects than productivity which is the behavioral aspect. Absentee, successful delivery, cash on delivery, status update, attendance, and lateness are the behavioral aspect criteria used. Profile Matching method is conducted to compare employee profiles with the standard values and calculate its GAP. The smaller the GAP, the greater the weight results for the best alternative solution. The results, from 150 employees, 5 employees were selected as the best employees and granted rewards with the highest position scored 4,733, second scored 4,725, third scored 4,7234, fourth scored 4,722, and fifth scored 4,721. Profile matching has proven to be excellent as a method for a decision support system to reward employees based on ranking.
Pelatihan Pembuatan Abon dan Label Kemasan Produk Olahan Ikan Mas di RW. 07 Desa Ciasihan Erneza Dewi Krishnasari; Yaddarabullah Yaddarabullah
Jurnal Komunitas : Jurnal Pengabdian kepada Masyarakat Vol 2, No 2: Januari 2020
Publisher : Institut Ilmu Sosial dan Manajemen Stiami

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (339.994 KB) | DOI: 10.31334/jks.v2i2.731

Abstract

Ciasihan Village is one of the villages in Pamijahan Sub-District, Bogor Regency. Most of the land is paddy field so that many residents work as farmers. But besides farming, the residents also have ponds for the cultivation of tilapia and carp. At the time of fish harvest, residents sell the fish without being processed so the selling price tends to be low. To increase their income, an effort is needed to increase the added value of the fish by processing it into fish floss. To sell the product, it must be packaged well so it is easy to recognize and use. Based on this background, the empowerment given to the villagers of Ciasihan includes training on making the fish floss and making packaging labels. The purpose of this empowerment is not only to make food more durable, but also to provide a visual identity for the processed food products of Ciasihan Village.    
Implementation of TF-IDF Algorithm and K-mean Clustering Method to Predict Words or Topics on Twitter Muhammad Darwis; Gatot Tri Pranoto; Yusuf Eka Wicaksana; Yaddarabullah Yaddarabullah
JISA(Jurnal Informatika dan Sains) Vol 3, No 2 (2020): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v3i2.831

Abstract

The social media time line, especially Twitter, is still interesting to follow. Various tweets delivered by the public are very informative and varied. This information should be able to be used further by utilizing the topic of conversation trends at one time. In this paper, the authors cluster the tweet data with the TF-IDF algorithm and the K-Mean method using the python programming language. The results of the tweet data clustering show predictions or possible topics of conversation that are being widely discussed by netizens. Finally, the data can be used to make decisions that utilize community sentiment towards an event through social media like Twitter.  
Pengembangan Aplikasi Web Pemetaan Perkembangan Koperasi di Indonesia Berbasis Web Modeling Language Yaddarabullah; Lestari Agusalim; Muhamad Karim
Jurnal KomtekInfo Vol. 5 No. 2 (2018): Komtekinfo
Publisher : Universitas Putra Indonesia YPTK Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1024.606 KB) | DOI: 10.35134/komtekinfo.v5i2.17

Abstract

Berdasarkan data yang telah diolah dari Kementerian Koperasi dan UKM menunjukkan perkembangan dan pertumbuhan koperasi di Indonesia mengalami peningkatan dalam sepuluh tahun (2000-2015) dengan tingkat peningkatan sebesar 68,93 persen. Dalam mendapatkan informasi tentang perkembangan koperasi saat ini masih menggunakan cara manual yaitu dengan mengumpulkan data koperasi dari masing-masingkemudian diproses untuk dianalisis. Belum ada aplikasi yang dapat memberikan informasi tentang perkembangan koperasi di Indonesia. Pada penelitian ini akan dikembangkan aplikasi berbasis web yang dapat memberikan informasi perkembangan dan pertumbuhan koperasi di Indonesia. Aplikasi yang dibangun akan memetakan koperasi berdasarkan provinsi. Pengembangan aplikasi ini didasarkan padaMetode Bahasa Pemodelan Web (WebML). Penulisan kode program menggunakan konsep pemrograman PHP Model-View-Controller (MVC) dengan framework Codeigniter versi 3.1.9 dan pemetaan digital menggunakan Openstreetmap. Hasil penelitian ini dapat digunakan oleh koperasi dalam memperbaharui data perkembangan dan pertumbuhan, sedangkan bagi pemerintah dan masyarakat akan lebih mudah dalam mengakses informasi tentang perkembangan dan pertumbuhan koperasi di Indonesia.
Implementasi Internet of Things pada Sistem Irigasi Tetes dalam Membantu Pemanfaatan Urban Farming Doni Kurniawan; Y Yaddarabullah; Galih Suprayitno
Prosiding University Research Colloquium Proceeding of The 7th University Research Colloquium 2018: Bidang Teknik dan Rekayasa
Publisher : Konsorsium Lembaga Penelitian dan Pengabdian kepada Masyarakat Perguruan Tinggi Muhammadiyah 'Aisyiyah (PTMA) Koordinator Wilayah Jawa Tengah - DIY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3698.356 KB)

Abstract

Pada era modern saat ini pemanfaatan Internet of Things atau IoTtelah banyak diterapkan diberbagai bidang seperti kesehatan,perindustrian, perkotaan dan bahkan pertanian. Konsep IoT sendirisangat sekali dibutuhkan terutama dalam bidang pertanian di areaperkotaan atau yang biasa disebut Urban Farming. Orang – orangyang tinggal diperkotaan cenderung memiliki kendala ruang yangtidak cukup luas dan juga waktu yang terbatas untuk memliharatanaman ataupun untuk berkebun. Dengan memanfaatkan teknologiIoT pada pemanfaatan Urban Farming tentunya akan sangatmemudahkan masyarakat yang tinggal di perkotaan dalam memonitoringtanaman yang ada. Sistem irigasi tetes berbasis IoTmemberikan kendali penuh terhadap tanaman-tanaman mulai darimonitoring kondisi tanaman secara real time hingga mengendalikanpenggunaan debit air. Hasil uji coba.melalui sistem ini menunjukanbahwa air yang digunakan dalam penyiraman tanaman 40% lebih iritkarena debit air yang dikeluarkan pada tanaman akan diberikansecukupnya secara otomatis dan melalui sistem ini juga kita akandapat memonitoring maupun mengkontrol tanaman yang dimilikimelalui smartphone kapanpun dan dimanapun.
Implementation Internet of Things for Feeding Catfish Water Quality Analysis Using Linear Regression and K-Nearest Neighbor Yaddarabullah Yaddarabullah; Egie Hermawan
JISA(Jurnal Informatika dan Sains) Vol 5, No 2 (2022): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v5i2.1431

Abstract

Cultivation of catfish (Clarias Gariepinus) is a promising business field and also a very productive activity because public interest in catfish is high. This factor is observed by market demand for catfish which is increasing from year to year. In catfish farming, you must pay attention to the acidity of the water (pH), temperature, and oxygen levels, which can change if too much feed is given. This can cause catfish seedlings to die and affect the catfish harvest. Catfish farmers often provide excessive food which causes many catfish seeds to die. This research will conduct a study on an Internet Of Things technology that can be used to monitor the acidity level in water pH, temperature, and oxygen levels as well as feed fish. The Internet of Things is very influential for monitoring the quality of catfish ponds by distributing information data resulting from sensor monitoring. The data obtained will be predicted for water quality in the pond by implementing a Linear Regression method. Furthermore, the acquisition of data from the predictions that have been carried out will be processed again to go to the next phase, namely classifying with the K-Nearest Neighbor algorithm method to carry out the identification phase of water types based on the nearest neighbors. This prediction is used to anticipate and notify catfish farmers through applications if there is a water acidity level (pH), temperature, and oxygen and feed levels that have run out