Claim Missing Document
Check
Articles

Found 6 Documents
Search

PENGENALAN JEMURAN IKAN ASIN OTOMATIS BERBASIS MIKROKONTROLLER UNTUK INDUSTRI KECIL MENENGAH (IKM) IKAN ASIN DI KECAMATAN TEGAL BARAT Rais Rais; Arfan Haqiqi; Yerry Febrian Sabanise; Miftakhul Huda; Doni Firstanto
Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Vol 3, No 1 (2020): Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstormin
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (598.445 KB) | DOI: 10.30591/japhb.v3i1.1689

Abstract

Pada proses pengeringan akan mengalami kesulitan apabila pada saat dikeringkan tiba-tiba hujan, ikan asin tidak dapat langsung diamankan seketika. , hal ini menyebabkan ikan asin akan terkena air hujan yang akan mempengaruhi proses pengeringan dan mengurangi kualitas ikan sendiri yang menyebabkan kerugian pada pelaku industri. Dengan keadaan yang sering dialami pelaku industri tersebut, kami bermaksud untuk membuat inovasi pada jemuran ikan asin yang selama ini masih dilakukan secara manual dan membutuhkan tenaga manusia. Dengan cara membuat pengembangan prototype  jemuran ikan asin otomatis menggunakan teknologi mikrokontroler Arduino, maka jemuran ikan asin dapat dikontrol dengan program Arduino. Saat ini penerapan sensor untuk mempermudah pekerjaan manusia semakin meningkat. Salah satunya ialah penggunaan sensor LDR dan Sensor Hujan yang di aplikasikan pada prototype jemuran ikan asin otomatis. Mikrokontroler Arduino akan menerima sinyal dari sensor tersebut, lalu memberikan perintah pada Motor-DC untuk menggerakan atap prototype pada kondisi tertentu.
PENINGKATAN KETRAMPILAN DAN KEMAMPUAN KOMPUTER MELALUI PELATIHAN APLIKASI PERKANTORAN BAGI PERSONEL POLRI TEGAL KOTA Ida Afriliana; Eko Budihartono; Rais Rais
JMM (Jurnal Masyarakat Mandiri) Vol 5, No 4 (2021): Agustus
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (348.326 KB) | DOI: 10.31764/jmm.v5i4.5095

Abstract

Abstrak: Teknologi informasi berkembang dengan sangat pesat, apalagi saat ini di masa pandemi, dimana pertemuan tatap muka lebih sulit dilakukan dibandingkan dengan tatap muka virtual. Perkembangan teknologi yang amat pesat  di segala lapisan, tidak terkecuali di berbagai departemen pemerintahan, dari level nasional, hingga level pemerintahan terkecil. Seperti halnya pelayanan di wilayah Kepolisian Tegal Kota, dimana hampir semua bentuk administratif telah berbasis komputerisasi, menuju pelayanan sistem informasi terpadu. Kepolisian Kota Tegal memilliki beberapa bagian atau unit yang tentunya akan berhubungan langsung dengan pelayanan masyarakat, tetapi ada beberapa personil yang belum mahir dalam mengimplementasikan aplikasi perkantoran dalam bidang pelayanan ini. Untuk meningkatkan ketrampilan dan kemampuan komputer bagi personil POLRI Kota Tegal maka pengabdian masyarakat ini dilakukan dengan pelatihan selama 5 hari, diikuti oleh 31 personil dengan mengimplementasikan penggunaan Microsoft Word, Microsoft Excel  dan  Microsoft Powerpoint untuk melakukan kegiatan pelayanan administratif dalam pelayanan masyarakat. Hasil pengabdian ini sangat baik, dimana 100% peserta pengadian ini yang telah lulus mengikuti tes akhir yang dilaksanakan pada akhir pelatihan. Abstract:  Information technology is developing very rapidly, especially now during a pandemic, which face to face meetings are more difficult than virtual meetings. The development of technology occurred at all levels, including in various government deparement, from he national leel to smallest goverment level. As with services in Tegal City Police area, which almost all administrative services have been computerized, towards integrated information sysem services. The Tegal City Police have several sections or units that will of course be directly realted to community services, but there are some personnel who are not yet proficient in implementing office applications in office administrative. To improve computer skills and abilities for POLRI personnel in TEgal City, this community service was carried out by training for 5 days, followed by 31 personnel by implementing Microsoft Word, Microsoft Excel  and  Microsoft Powerpoint to carry out administrative service activities to serve community. The result of this community service are very good, 100% personnel have passed the final est which was carried out at the end of the training.
Manajemen Kinerja Jaringan Komputer PDAM Kota Cirebon Melalui Pendekatan Wireless Distribution System Rais Rais; Egi Rianto
Jurnal ICT : Information Communication & Technology Vol 16, No 1 (2017): JICT-IKMI, Juli 2017
Publisher : STMIK IKMI Cirebon

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36054/jict-ikmi.v16i1.24

Abstract

Jaringan wireless pada sebuah Access Point memiliki keterbatasan pada jarak jangkauan. Acsess Point tidak dapat dipergunakan secara menyeluruh dalam jarak ruangan yang berbeda. Sehinga membuat keterbatasan jangkauan wireless pada kantor PDAM Kota Cirebon. Permasalahan Access Point tersebut diperlukan pendekatan Wireless Distribution System (WDS). WDS adalah suatu sistem perluasan jaringan dengan mengunakan dua atau lebih Access Point. Sehingga masing-masing access point masih dalam satu jaringan. Penerapan sistem WDS ini diharapkan jaringan wireless pada kantor PDAM Kota Cirebon dapat mencakup area yang lebih luas. Sehingga dapat digunakan untuk mengirim berkas-berkas secara langsung kepada bagian yang di tuju. Selain itu bisa mempermudah untuk melakukan perbaikan pada jaringan tersebut.
Prediction Of Medical Actions For Covid Patients Using Naïve Bayes Method Arfan Haqiqi; Rais -; Istiqomah Dwi Andari; Siti Fatimah
Elkom : Jurnal Elektronika dan Komputer Vol 14 No 2 (2021): Desember: Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v14i2.464

Abstract

Management of medical actions carried out in handling patients who are ODP (people under monitoring), OTG (asymptomatic people), PDP (patient under monitoring) and positive Covid-19 patients is carried out based on assumptions, such as self-isolation, hospitalization, or special treatments in the ICU (Intensive Care Unit) room. The condition of the body in each patient is different, a patient may have same symptoms but the treatment is different, especially in elderly patients. Many problems occur in determining medical action because the patient's body condition is different. Therefore, it needs to be appointed as a research. The research method used in this study was Nive Bayes algorithm with supporting application Rapid Miner. It was applied to carry out the process of testing on patient data as much as 500 data, 25 variables or patient symptoms and 3 outputs as a form of medical action. Based on the results of the analysis carried out in this study, prediction of medical actions for ODP, PDP, OTG and positive Covid-19 patients were obtained by comparing training data with testing data using Rapid Miner application. It resulted that an accuracy rate of 76.00% was obtained
Sistem Monitoring Pintu Air Bendungan Menggunakan Mikrokontroler Wemos D1 R1 Berbasis Website Rais; Yerry Febrian Sabanise
Journal of Innovation Information Technology and Application (JINITA) Vol 1 No 1 (2019): JINITA, December 2019
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (766.257 KB) | DOI: 10.35970/jinita.v1i1.85

Abstract

Floodgate monitoring is related to water level monitoring. Problems that occur Weir information about the water level, water runoff, level, status of floodgates and recap results that can be seen on the web in real-time are not yet available, so monitoring the floodgates is difficult, less effective and maximum. Weir officials must go back and forth from the weir to the guard post and then to the control to move the floodgates. The purpose of the design of a sluice monitoring system is based on the website. Assist officers in monitoring floodgates to make it more effective and maximal. Using Wemos D1 R1 Microcontroller, Ultrasonic Sensor HC-SR04 to read water level, DC Motor moves the floodgates. LCD displays runoff and level. Siren as a danger warning. The trial results show that the system that has been made runs well. The system is able to open the floodgates through control of the web and runs automatically. Water runoff and level can be displayed on the LCD. Weir information about water levels, water runoff, levels, sluice status, and recap results can be viewed on the web in real time.
Prediction Of Medical Actions For Covid Patients Using Naïve Bayes Method Arfan Haqiqi; Rais -; Istiqomah Dwi Andari; Siti Fatimah
Elkom : Jurnal Elektronika dan Komputer Vol 14 No 2 (2021): Desember: Jurnal Elektronika dan Komputer
Publisher : STEKOM PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/elkom.v14i2.464

Abstract

Management of medical actions carried out in handling patients who are ODP (people under monitoring), OTG (asymptomatic people), PDP (patient under monitoring) and positive Covid-19 patients is carried out based on assumptions, such as self-isolation, hospitalization, or special treatments in the ICU (Intensive Care Unit) room. The condition of the body in each patient is different, a patient may have same symptoms but the treatment is different, especially in elderly patients. Many problems occur in determining medical action because the patient's body condition is different. Therefore, it needs to be appointed as a research. The research method used in this study was Nive Bayes algorithm with supporting application Rapid Miner. It was applied to carry out the process of testing on patient data as much as 500 data, 25 variables or patient symptoms and 3 outputs as a form of medical action. Based on the results of the analysis carried out in this study, prediction of medical actions for ODP, PDP, OTG and positive Covid-19 patients were obtained by comparing training data with testing data using Rapid Miner application. It resulted that an accuracy rate of 76.00% was obtained