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All Journal JTEV (Jurnal Teknik Elektro dan Vokasional Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Prosiding Semnastek JUITA : Jurnal Informatika Annual Research Seminar SMATIKA JURNAL NASIONAL TEKNIK ELEKTRO Proceeding of the Electrical Engineering Computer Science and Informatics PROtek : Jurnal Ilmiah Teknik Elektro Sistemasi: Jurnal Sistem Informasi JETT (Jurnal Elektro dan Telekomunikasi Terapan) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Teknik Komputer AMIK BSI AKSIOLOGIYA : Jurnal Pengabdian Kepada Masyarakat JURNAL MEDIA INFORMATIKA BUDIDARMA Martabe : Jurnal Pengabdian Kepada Masyarakat Prosiding Seminar Nasional Sains dan Teknologi Terapan Jurnal Teknologi Sistem Informasi dan Aplikasi Jurnal Kreativitas PKM Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal RANDANG TANA - Jurnal Pengabdian Masyarakat Jurnal Pengabdian Masyarakat Bumi Raflesia Jurnal Teknologi Elekterika Journal of Research in Business, Economics, and Education Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) International Journal Of Science, Technology & Management (IJSTM) Jurnal Digit : Digital of Information Technology Aptekmas : Jurnal Pengabdian Kepada Masyarakat Joong-Ki : Jurnal Pengabdian Masyarakat Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi) Logic : Jurnal Rancang Bangun Dan Teknologi Joong-Ki Jurnal Teknik Elektro dan Komputer Joong-Ki
Irma Salamah
Politeknik Negeri Sriwijaya
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Rancang Bangun Mesin Pemotong Kentang Stick dengan Sistem Pemasak dan Pemberian Rasa Otomatis Berbasis IoT Aminah Cendrakasih; Irma Salamah; Abdul Halim Rakhman
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 3 (2024): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v7i3.42279

Abstract

Potatoes are one of the most popular snacks, especially in the food industry, where they are often processed into potato sticks. However, the production process for ready-to-eat potato sticks tends to be complex and requires significant time and labor. This research designs a potato stick cutting machine with an automatic cooking and seasoning system using Internet of Things (IoT) technology to simplify the production process. The machine is integrated with an IoT network and equipped with an Android application for system monitoring. Microcontrollers act as the main controller, managing machine operations based on instructions from the Android application and sensors on the machine. The result of this research is the development of an intelligent machine that can produce potato sticks with guaranteed quality and consistency according to user preferences. This machine also improves production efficiency by reducing the time and labor required, and it provides ease of monitoring and controlling the production process remotely through the Android application, thereby significantly contributing to the modern food industry.
Design and Development of Mango Ripeness Classification Tool using CNN Android-based Platform Zaldy Gumilang Mursalin; Ahmad Taqwa; Irma Salamah
Sistemasi: Jurnal Sistem Informasi Vol 13, No 5 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i5.4379

Abstract

Artificial ripening methods use calcium carbide (carbide) which often leaves harmful residues on the mango fruit. This research designs a classification tool for carbite and non-carbite mango fruit using the Android-based InceptionV3 Convolutional Neural Network method. The mango fruit image dataset consists of 1622 images (881 images of carbite mangoes and 811 images of non-carbite mangoes) used to train and test the model. The testing process is done by implementing the model on a Raspberry Pi B+ connected to a camera pi to take pictures of mangoes at a distance of 30 cm. The results showed that the CNN model developed achieved an average accuracy of 94.4% in classifying carbitan and non-carbitan mangoes. This result shows that the classification tool designed can provide significant benefits for farmers, traders, and consumers in ensuring marketed quality.
Sosialisasi Sistem Monitoring Kualitas Udara Menggunakan Komunikasi Multi-Hop di BMKG Stasiun Klimatologi Kelas I Palembang Mohammad Fadhli; Asriyadi Asriyadi; Irma Salamah; Lindawati Lindawati
Joong-Ki : Jurnal Pengabdian Masyarakat Vol. 2 No. 1: Januari 2023
Publisher : CV. Ulil Albab Corp

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/joongki.v2i1.1314

Abstract

Kualitas udara yang dihirup sehari-hari harus menjadi perhatian untuk dapat mencegah berbagai penyakit akibat pencemaran udara. BMKG merupakan badan negara yang salah satu tugasnya adalah memberikan informasi mengenai kualitas udara kepada masyarakat. Pada saat ini informasi tersebut dapat diakses oleh masyarakat melalui website dan aplikasi Android BMKG. Untuk dapat menyajikan data kualitas udara, maka dibutuhkan sistem jaringan sensor yang mampu membaca kualitas udara dengan akurat. Pada kegiatan pengabdian ini telah disosialisasikan suatu alternatif sistem monitoring kualitas udara yang menggunakan komuniaksi multi-hop berbasis LoRa kepada pihak BMKG Balai Klimatologi Kelas I Palembang selaku mitra. Kegiatan ini bertujuan untuk berbagi pengetahuan mengenai alternatif alat pemantau kualitas udara kepada mitra. Fitur yang ditawarkan diantaranya kemampuan membaca kualitas udara dari lima parameter yaitu: kandungan karbon dioksida, karbon monoksida, methane, partikulat serta kelembapan udara. Dari kegiatan pengabdian ini dapat diketahui bahwa mitra telah memahami cara kerja alat ini. Selain itu tim pengabdi juga mendapatkan berbagai masukan dari mitra untuk pengembangan alat ini. Dengan biaya pembuatan alat yang relatif murah diharapkan alat ini dapat digunakan oleh mitra sebagai alternatif penyajian informasi kualitas udara kepada masyarakat.
Co-Authors A Rahman Abdul Halim Rakhman Abdul Rakhman Agnes Manik Ahmad Taqwa Ali Nurdin Aminah Cendrakasih Anisah Meidella Anoesyirwan Moeins Aryanti Aryanti Asriyadi Asriyadi City Ardhela Alisya Desi Riama Manalu Dita Azzahra EKA SUSANTI Elmerillia Elmerillia Endri, Jon Fadhila Desti Rahmaniar Fahreza Fina Triana Handava Wardana Hermika Yuliana Sitompul Hesti, Emilia Hj Lindawati Hj. Lindawati Indah Putri Lestari Irawan Hadi Jullia Fatriana Putri kurnia syafitri Lindawati Lindawati Lindawati M Permadi Yosa Nugraha M. Aris Ganiardi M. Redho Ali Said M.Munaza Fathsyah Meli Gustina Michelle Valerie Mohammad Fadhli Muhammad Aris Ganiardi Muhammad Fadhli Muhammad Munaza Fathsyah Nadia Oktavia Nasron Nasron R.D.Kusumanto Raden Kusumanto RD Kusumanto RD Kusumanto Renata Anggielita Rizky Tapera Shinta Sulistiya Ningrum Shohibulloh Bayu Anistiawan Sholihin Sholihin Suroso suroso Suzanzefi Suzanzefi Tiara Putri Amanda Tri Rizkiah Wahyudi Rahman Yulizain Yulizain Zaldy Gumilang Mursalin