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Pelatihan Aplikasi Untuk Industri Berbasis Arduino di SMK Letris Tangerang Selatan Muhamad Jafar Elly; Emillia Emillia; Hendrianto Husada; Yessy Asri; Dian Hartanti; Hengki Sikumbang; Dwina Kuswardani
Jurnal SOLMA Vol. 8 No. 2 (2019)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (592.546 KB) | DOI: 10.29405/solma.v8i2.3345

Abstract

Seiring perkembangan teknologi informasi yang sangat cepat, teknologi mikrokontroler pun ikut berkembang pesat. Mikrokontroler digunakan di hampir semua perlengkapan elektronik rumah tangga dan industri. Salah satu mikrokontroler yang sangat popular yang banyak digunakan dalam pembuatan prototipe peralatan elektronik untuk aplikasi industri adalah arduino. Aplikasi arduino ini belum banyak dikenal masyarakat. Salah satu cara untuk mengenalkan peralatan elektronik yang menggunakan mikrokontroler ini adalah memberikan bimbingan dan pelatihan tentang arduino yang meliputi fungsi, blok diagram, pemrogramman dan implementasinya. Dalam kaitan itu, kegiatan Pengabdian Kepada Mayarakat dari STT PLN pun dilakukan. Kegiatan ini dimaksudkan untuk memberikan bimbingan dan penyuluhan mengenai Arduino dan implementasinya dalam industri terutama kepada para pelajar di Sekolah Menengah Kejuruan (SMK) Letris, Tangerang Selatan.
KLASIFIKASI PESAN GANGGUAN PELANGGAN MENGGUNAKAN METODE NAIVE BAYES CLASSIFIER Haryono Haryono; Pritasari Palupiningsih; Yessy Asri; Andi Nikma Sri Handayani
KILAT Vol 7 No 2 (2018): KILAT
Publisher : Sekolah Tinggi Teknik - PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3210.193 KB) | DOI: 10.33322/kilat.v7i2.354

Abstract

The application of customer disturbance message classifiers is made because of the process of reporting the interruption by the customer must be done by selection of data disorders by one by the admin to be able to follow-up from the existing customer reports. Naive Bayes is one of machine learning methods that uses probability calculations where the algorithm takes advantage of probability and statistical methods that predict future probabilities based on past experience. The application of the naive bayes classifier method with text mining as the initial data processor of the disorder messaging application can be concluded that this study yields an accuracy of probability values of 95 percent and proves that the Naive Bayes method can be used to help classify interference messages sent by customers.
Sistem Pakar Untuk Mengidentifikasi Penyakit Mata Dengan Metode Certainty Factor Eka Putra; Budi Prayitno; Yessy Asri; Andi Dahroni
KILAT Vol 8 No 1 (2019): KILAT
Publisher : Sekolah Tinggi Teknik - PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (590.22 KB) | DOI: 10.33322/kilat.v8i1.367

Abstract

Eye disease today is no longer a rare disease suffered by humans. Many symptoms encountered makes people become confused if the types of eye diseases from which they suffer. Type of eye disease that often affects people of Indonesia according to the Ministry of Health is conjunctivitis, Pterygium, Cataract and Glaucoma. It's no secret if in a meeting with the ophthalmologist will cost not less. Expert systems are computer-based systems that use knowledge, facts and reasoning techniques in solving problems that normally can only be solved by an expert in the field. Forward chaining inference engine used in this study to chronicling the symptoms are inconclusive, then the certainty factor method so that we can determine what percentage of the disease in the suffering of patients through the results of the count in the method. Application web-based expert system created to provide information to people with eye disease illness is entered in accordance with the symptoms.
Pemanfaatan Web Service Sebagai Integrasi Data Pada Tata Laksana Laboratorium Komputer (Studi Kasus Lab.Komputer Lanjut Informatika STT-PLN) Yessy Asri
KILAT Vol 4 No 2 (2015): KILAT
Publisher : Sekolah Tinggi Teknik - PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (997.574 KB) | DOI: 10.33322/kilat.v4i2.450

Abstract

Web service has an open service for the benefit of data integration and collaboration of information that can be accessed via the internet by various parties using technology owned by each user . Tata Laksana Computer Laboratory is based on client-server application that is implemented in a LAN network. With this application, the assistant and lecturers can convey information related to lab activities for students. The purpose of this paper is to design a mobile-based application program (android) and ASP.NET web service that is used as a link media between android application with a database. So that students can get information whenever they want.
Meningkatkan Kompetensi SDM di BUMD PDAM Tirta Patriot Kota Bekasi Dalam Pembuatan Dokumentasi Sistem Informasi Pelayanan Prima Hengki Sikumbang; Yessy Asri; Dian Hartanti; Dwina Kuswardani; Emillia Emillia; Hendrianto Husada; Muhammad Jafar Ely
Terang Vol 1 No 1 (2018): TERANG : Jurnal Pengabdian Pada Masyarakat Menerangi Negeri
Publisher : Sekolah Tinggi Teknik - PLN

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (489.101 KB) | DOI: 10.33322/terang.v1i1.198

Abstract

Perusahaan Daerah Air Minum (PDAM) Tirta Patriot Kota Bekasi sebagai penyedia jasa air bersih bagi area industri, area bisnis maupun pemukiman penduduk di wilayah operasional Tirta Patriot, meliputi Kabupaten Bekasi dan sebagian Kota Bekasi. Saat ini PDAM Tirta Patriot Kota Bekasi sudah memiliki Sistem Informasi Pelayanan Prima, yaitu sistem yang menangani mengenai pelayanan Pergudangan, Pelayanan Distribusi, dan Pelayanan Pengaduan. Sebuah Sistem Informasi pada hakekatnya adalah merupakan suatu sistem yang memiliki komponen-komponen atau sub sistem-sub sistem untuk menghasilkan informasi. Bisnis teknologi dunia saat ini didominasi oleh sektor teknologi informasi. Dalam menghadapi era globalisasi, persaingan akan semakin ketat, sehingga sangat dibutuhkan kebijakan-kebijakan dan aktivitas-aktivitas secara langsung yang dapat meningkatkan daya saing perusahaan di kemudian hari.Namun sampai saat ini, semua alur dari sistem informasi tersebut belum memiliki dokumentasi yang berbasiskan teknologi informasi. Metode yang digunakan untuk menjawab permasalahan atau mencapai tujuan kegiatan P2M adalah dengan mengadakan workshop. Dalam pembuatan dokumentasi sistem berbasiskan teknologi informasi Perusahaan Daerah Air Minum (PDAM) Tirta Patriot Kota Bekasi menggunaan perangkat lunak UML – Rational Rose 2000.
RESOURCE INVENTORY MANAGEMENT SYSTEM LABORATORY TERINTEGRASI WEB Yessy Asri
Jurnal Ilmu Teknik dan Komputer Vol 2, No 1 (2018)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Teknologi komunikasi data dan komputer saat ini berkembang dengan begitu pesatnya. Hal itu tentunya didukungoleh sumber daya alam dan sumber daya manusia yang memadai dan berkualitas. Berbagai informasi danpengelolaan manajemen instansi saat ini sangat mendukung untuk bisa dikembangkan menjadi sistem yangmengandalkan kamajuan teknologi, salah satu diantaranya adalah bidang teknologi informasi dan pengolahandata. Saat ini suatu bentuk informasi dan data bisa dibuat sesuai dengan apa yang diinginkan, dan banyak peluangyang bisa dimanfaatkan untuk pengembangannya. Laboratorium Komputer merupakan salah satu penunjangsistem pembelajaran yang ada pada jurusan Teknik Informatika. Dalam melaksanakan tugas dan kewajibannyaLaboratorium Komputer memerlukan barang-barang inventaris, perangkat keras maupun lunak untuk kelancarantugas dan pencapaian tujuan. Keberadaan barang-barang inventaris tersebut memerlukan proses pengelolaan,pencatatan, atau pelaporan barang untuk mengetahui jumlah barang, penambahan barang yang ada maupununtuk mengetahui laporan mutasi atau penghapusan barang. Tujuan penelitian ini adalah untuk pengaturandalam kegiatan pengadaan barang yang dibutuhkan dan menghimpun data atau inventarisasi tentang baranglaboratorium yang merupakan salah satu unsur pelaksana akademik yang berada dibawah Kepala Laboratorium.Metode yang digunakan dalam penelitian ini yaitu menggunakan metode Extreme Programming (XP), dilakukanmulai dari tahap perencanaan, analisa, desain dan implementasi secara bersamaan kemudian diimplementasikankedalam system apabila terdapat kekurangan maka akan diulang kembali hingga terpenuhi kebutuhan dari client,agar barang inventaris dapat dikelola dengan baik agar dapat dimanfaatkan secara maksimal. 
Application of Villamil-Molina in Virtual Reality Environmental Information on The ITPLN Campus Herman Bedi; Abdurrasyid; Meilia Nur Indah Susanti; Indrianto; M Yoga Distra Sudirman; Rahma Farah Ningrum; Yessy Asri; Joey Andrew Fransisco Sihombing; Azizah Arip Rambe
Jurnal E-Komtek (Elektro-Komputer-Teknik) Vol 8 No 1 (2024)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/e-komtek.v8i1.1700

Abstract

This study aims to apply Virtual Reality (VR) as an information medium in the ITPLN campus environment, focusing on the Villamil-Molina analysis method. The 3DVista app will be used as a VR content development platform. The research will evaluate accessibility, educational effectiveness, user acceptance, content availability, financial aspects, security, privacy, and environmental impact. The study results are expected to provide an in-depth understanding of the potential of VR, identify obstacles, and present recommendations to improve its implementation in the ITPLN campus environment by utilizing 3DVista applications. Villamil-Molina follows structured steps, uses the right creativity, and provides a satisfying experience for users.
PENGOPTIMALAN INTEROPERABILITAS SISTEM NAIVE BAYES DALAM PENINGKATAN DATA MINING DI EKOSISTEM MULTI-LAYANAN GOJEK Muhammad Heidyr Hadiningrat; Yessy Asri
JURNAL TEKNOLOGI TECHNOSCIENTIA Technoscientia Vol 17 No 1 September 2024
Publisher : Lembaga Penelitian & Pengabdian Kepada Masyarakat (LPPM), Universitas AKPRIND Indonesia Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34151/technoscientia.v17i1.4624

Abstract

This research aims to optimize the performance of Data Mining in Gojek's multi-service ecosystem through improving the interoperability of the Naive Bayes system. As a leading multi-service platform, Gojek faces complexity in extracting value from data involving different types of services. The Naive Bayes data classification method, which has been proven effective, is integrated with a focus on optimizing system interoperability. The research involves developing technical solutions that facilitate better integration between services, enabling efficient and accurate data exchange. The literature study investigated the concept of interoperability, Naive Bayes, and similar implementations, while Gojek's needs analysis established the basis of the solution design. The prototype was implemented and evaluated in a test environment replicating Gojek's ecosystem conditions. Results show improved performance with classification accuracy metrics and data exchange efficiency. With trials in the production environment, the optimized solution is widely implemented. The findings of this research are expected to make a positive contribution to the effectiveness of the Gojek system in utilizing data, opening new opportunities for service development, and improving user experience.
PENGOPTIMALAN INTEROPERABILITAS SISTEM NAIVE BAYES DALAM PENINGKATAN DATA MINING DI EKOSISTEM MULTI-LAYANAN GOJEK Muhammad Heidyr Hadiningrat; Yessy Asri
JURNAL TEKNOLOGI TECHNOSCIENTIA Technoscientia Vol 17 No 1 September 2024
Publisher : Lembaga Penelitian & Pengabdian Kepada Masyarakat (LPPM), Universitas AKPRIND Indonesia Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34151/technoscientia.v17i1.4624

Abstract

This research aims to optimize the performance of Data Mining in Gojek's multi-service ecosystem through improving the interoperability of the Naive Bayes system. As a leading multi-service platform, Gojek faces complexity in extracting value from data involving different types of services. The Naive Bayes data classification method, which has been proven effective, is integrated with a focus on optimizing system interoperability. The research involves developing technical solutions that facilitate better integration between services, enabling efficient and accurate data exchange. The literature study investigated the concept of interoperability, Naive Bayes, and similar implementations, while Gojek's needs analysis established the basis of the solution design. The prototype was implemented and evaluated in a test environment replicating Gojek's ecosystem conditions. Results show improved performance with classification accuracy metrics and data exchange efficiency. With trials in the production environment, the optimized solution is widely implemented. The findings of this research are expected to make a positive contribution to the effectiveness of the Gojek system in utilizing data, opening new opportunities for service development, and improving user experience.