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Jaringan Sensor Nirkabel: Studi dan Evaluasi Kinerja LoRa Transmitter dan Long Range Radio Frekuensi (RF) Pada Luar Ruang Muhendra, Rifki
Jurnal Jaring SainTek Vol. 3 No. 1 (2021): April 2021
Publisher : Fakultas Teknik, Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/jaring-saintek.v3i1.347

Abstract

Transmitter merupakan tulang punggung komunikasi pada Jaringan Sensor Nirkabel. Sebagian besar transmitter menggunakan frekuensi ism band sehingga jangkauan komunikasinya terbatas sejauh 100 m. Beberapa jenis transmitter yang memiliki kemampuan komunikasi jarak jauh adalah nRF24 1 km dan LoRa. Paper ini melaporkan studi komperasi antara nRF24 1 km dan LoRa dalam komunikasi data, konsumsi daya dan ketahanan terhadap halangan. Hasil studi menunjukkan bahwa LoRa memiliki kemampuan jangkauan 1,6 km dan nRF24 memiliki kemampuan pengiriman sejauh 1 km. NRF24 1 km lebih cocok digunakan untuk komunikasi jarak jauh yang membutuhkan kecepatan yang tinggi dan juga tahan terhadap halangan non- line of sight.
PERBAIKAN PENGELOLAAN TERNAK JANGKRIK GUNA MENINGKATKAN HASIL PRODUKSI DAN PENJUALAN Paduloh, Paduloh; Zulkarnaen, Iskandar; Rosihan, Rifda Ilahy; Muhendra, Rifki
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 (31.837 KB) | DOI: 10.31764/jmm.v5i4.4838

Abstract

Abstrak: Jangkrik merupakan pakan hewan peliharaan yang memiliki potensi pengembangan yang cukup baik mengingat permintaan yang tinggi, namun dalam proses peternakan banyak kendala yang dihadapi peternak, mulai dari banyaknya hama sampai dengan kendala harga jual jangkrik yang bergantung kepada tengkulak. Pengabdian masyarakat ini bertujuan untuk membantu peternak jangkrik meningkatkan hasil peternakan dan memberikan pelatihan mengenai pemasaran produk. Metoda pengabdian masyarakat yang digunakan dibagi dua yaitu tahap persiapan dan tahap implementasi, dimana pada tahap tersebut dilakukan sosialisasi, memberikan pelatihan budidaya jangkrik, pelatihan pemasaran jangkrik, pelatihan proses budidaya, monitoring hasil pelatihan dan melakukan evaluasi terhadap hasil pelatihan. Hasil pengabdian masyarakat ini ditunjukan dengan adanya peningkatan kemampuan masyarakat dalam pengelolaan peternakan jangkrik, ini ditandai dengan peningkatan hasil produksi yang semula 20 – 35 Kg menjadi 32 – 50 Kg.Abstract:  Crickets are pet food that has good development potential considering the high demand. Still, in the breeding process, farmers face many obstacles, ranging from the number of pests to the selling price of crickets that depend on middlemen. This community service aims to help cricket farmers increase livestock yields and provide training on product marketing. The community service method used is divided into two, namely the preparation stage and the implementation stage, where socialization is carried out, providing cricket cultivation training, cricket marketing training, cultivation process training, monitoring training results, and evaluating the results of the training. The results of this community service are shown by an increase in the ability of the community to manage cricket farms; this is marked by an increase in production results from 20-35 Kg to 32-50 Kg.
Real-Time Monitoring: Development of Low Power Fire Detection System for Dense Residential Housing Based on Internet of Things (IoT) and Cloud Messenger Muhendra, Rifki; Amin, Aisyah
Scientific Journal of Informatics Vol 8, No 2 (2021): November 2021
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/sji.v8i2.30811

Abstract

Purpose: This paper reports on the development of a low-power fire potential monitoring system for densely populated housing based on IoT Study design: This system consists of sensors integrated with a microcontroller and a Wi-Fi module that can provide data in real-time and can be accessed remotely. In addition, this system has also been simulated to analyze environmental conditions as notification data sent using cloud messenger. The grouping of potential fire hazards based on the legibility of physical parameter values is also displayed. Findings: In performance measurement, the data loss of this system is less than 1% of the total data every day. Value: It shows that this system is feasible and applied more broadly to anticipate fires in densely populated areas.
MITIGASI PENGURANGAN RISIKO BENCANA BANJIR DI DESA CIPAYUNG KEC. MEGAMENDUNG. KAB. BOGOR MENGGUNAKAN TEKNOLOGI INTERNET OF THINGS (IoT) Muhendra, Rifki; Solihin, Solihin
Jurnal Pengabdian Masyarakat Teknik Vol 5, No 2 (2023): Jurnal Pengabdian Masyarakat Teknik (JPMT)
Publisher : Fakultas Teknik Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jpmt.5.2.98-103

Abstract

Sungai ci Esek merupakan sungai yang terletak di desa Cipayung kecamatan Megamendung Kabupaten Bogor yang memiliki arus yang besar terutama ketika hujan. Beberapa bagian desa dan desa lainnya yang berada di sekitar desa Cipayung merupakan daerah terdampak banjir. Pada kegiatan pengabdian masysrakat ini tim dari Universitas Bhayangkara Jakarta Raya telah berhasil mengembangkan system monitoring potensi banjir sebagai salah satu langkah mitigasi bencana daerah di kabupaten bogor. System ini terdiri dari perangkat sensor yang dapat mengukur ketinggian permukaan sungai dan curah hujan dimana data-data fisik ini dikirimkan ke Internet. Akses data potensi banjir ini dapat dilakukan secara real time dan jarak jauh menggunakan perangkat mobile dan computer internet. System ini juga telah diuji dilapangan dengan pemasangan perangkat sensor di pinggir sungai ci Esek dimana rata-rata data yang dikumpulkan setiap hari sebesar 1429. Persentasi kehilangan data adalah 0,75%. Ini membuktikan system dapat digunakan sebagai salah satu upaya preventive dalam menghadapi potensi banjir di Kabupaten Bogor.
Analisis paket damage dan perbaikan kualitas produk pada jasa logistik menggunakan metode PDCA Dan FMEA (Studi Kasus: PT Ninja Xpress) Hendrik Hidayat; Muhendra, Rifki; Oki Widhi Nugroho
JENIUS : Jurnal Terapan Teknik Industri Vol 4 No 2 (2023): JENIUS: Jurnal Terapan Teknik Industri
Publisher : LPPMPK - Sekolah Tinggi Teknologi Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/jenius.v4i2.669

Abstract

Permasalahan yang dapat menurunkan kualitas layanan dan kepercayaan konsumen terhadap perusahaan logistik adalah kerusakan paket pengiriman. PT Ninja Xpress memiliki rata-rata kerusakan paket (damage) lebih dari yang ditetapkan oleh perusahaan. Pada penelitian ini dilakukan analisis paket damage dan perbaikan kualitas produk pada jasa logistik menggunakan metode PDCA dan FMEA. Adapun tahapan yang dilakukan pada penelitian ini antara lain analisis 7 Tools, menentukan faktor-faktor Penyebab Paket Damage, Brainstorming, analisis FMEA, Usulan perbaikan menggunakan 5W+1H, pelaksanaan perbaikan, analisis dan evaluasi perbaikan. Hasil penelitian ini menunjukkan bahwa rata-rata paket damage setelah implementasi perbaikan adalah 2 % atau turun sebesar 5% dari sebelumnya. Penelitian ini memberikan rangkaian analisis dan solusi yang tepat dan dapat dipertimbangkan oleh perusahaan untuk dilaksanakan guna perbaikan proses bisnis
Optimasi Rute Kendaraan pada Pendistribusian Produk Agroindustri Menggunakan Metode Sweep dan Nearest-Neighbor Solihin, Solihin; Muhendra, Rifki; Widyantoro, Murwan; Munawir, Al
Jurnal Mekanova : Mekanikal, Inovasi dan Teknologi Vol 9, No 2 (2023): Oktober
Publisher : universitas teuku umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jmkn.v9i2.8435

Abstract

AI Company is a producer of agro-industrial products. Products produced from the agricultural industry, for example vegetables, fruit and so on. These products are easily damaged. Therefore, the transportation system for product distribution needs to be carried out in the shortest possible time. Besides that, vehicle use produces air pollution and greenhouse gases which trigger global warming. This research proposes the Sweep and Nearest-Neighbor methods to minimize vehicle route distances in distributing products from AI companies to various customers. By minimizing the distance traveled, it is hoped that it can also contribute to reducing CO2 emissions. The Sweep method is intended to cluster destination locations and the Nearest-Neighbor algorithm is used to get the shortest route so that the shortest distance is obtained. From the results of this study, before optimization, the usual delivery distance for goods carried out by AI companies was 10,077.00 km and decreased to 9,286.00 km per year after optimization. The CO2 emissions per year before optimization were 2147.95 kgCO2e, while after optimizing the distance traveled, CO2 emissions decreased to 1979.13 kgCO2e.
Development of Graduation Prediction Model for Industrial Engineering Students Using Decision Tree Muhendra, Rifki
JMSP (Jurnal Manajemen dan Supervisi Pendidikan) Vol 6, No 2 (2022): Vol. 6 No. 2 Maret 2022
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17977/um025v6i22022p28

Abstract

Data mining is one of the rapidly growing data processing sciences. One application of data mining is to build a model of student graduation criteria. In this study, a prediction model for student graduation criteria was developed using a decision tree (DT). Several factors that influence the graduation criteria of students studied in this study include GPA, field of study, age, number of credits completed, and so on. The development of this model uses the open source Rapidminer software which is proven to have ease in processing but is very good at producing models. There are 3 prediction models produced, namely the DT model using the Gini Index method, Information gain and gain ratio. The resulting model has a fairly large root distribution in the predicate is very satisfactory. This means this predicate in the process does quite a lot of iterations. These three models can be used to predict student graduation because they have an accuracy and Kappa value greater than 80%. This shows that this model has a high level of confidence and can describe what is happening. The Gini Index model has the highest accuracy and kappa value compared to the information gain and gain ratio models with accuracy and kappa values of 0.963 and 0.932, respectively. This shows that the Gini Index model is superior for processing large data.
Sosialisasi Pembuatan Bio Solar menggunakan Minyak Jelantah dan Menciptakan Lingkungan yang Bersih dilingkungan RW019 Desa Kedung Pengawas Kabupaten Bekasi Muhendra, Rifki; Nuraliyah, Andi; Aryafangger, Thomas Romyansen; Davi, Faradilla Aulia; Ferdiansyah, Ikhsan; Prakoso, Endah Ningrat Jati; Nugroho, Ricko Puspo; Alrasyid, Muhamad Aji Maulana; Amin, Abu Ridho Al; Perdiansyah; Putra, Achmad Mandala; P, Diovan Dharma; Spalanzani, Widya
Jurnal Sains Teknologi dalam Pemberdayaan Masyarakat Vol. 5 No. 2 (2024): Desember 2024
Publisher : Fakultas Teknik Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/2wv7rk91

Abstract

The Real Work Lecture Program carried out by Group 2 has the aim of utilizing used cooking oil to make biodiesel which has been recognized as an effective step in reducing the negative impact of used cooking oil waste on the environment. This service aims to socialize the process of making biodiesel from used cooking oil to the public, with a focus on environmental sustainability. Socialization methods are carried out through public campaigns, practical training, and providing information regarding the environmental benefits of using biodiesel. The results of this outreach show an increase in public awareness of the potential of biodiesel as an environmentally friendly and economical alternative. The implication of this service is to create a clean environmentthrough more effective management of used cooking oil, supporting global efforts to reduce the carbon footprint, as well asincreasing energy independence at the local level. It is hoped that these results can make a positive contribution to the implementationof renewable energy policies in the future. The main focus is to increase public awareness of the importance of maintaining a clean environment and its positive impact on health and quality of life. The results of this outreach show increased participation in cleaning activities, better waste management, and efficient use of resources. The implication of this research is to support globalefforts to maintain environmental sustainability and promote environmentally friendly lifestyles.
Pelatihan Pembuatan Buku Ajar menggunakan Artificial Inteligent (AI) di SDI Sekolah Embriyo Inspirator Muhendra, Rifki; Kumalasari, Ratih; Rosihan, Rifda Ilahy; Hamdani, Haris
Jurnal Sains Teknologi dalam Pemberdayaan Masyarakat Vol. 5 No. 2 (2024): Desember 2024
Publisher : Fakultas Teknik Universitas Bhayangkara Jakarta Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/5mzf2z85

Abstract

This community service activity aims to enhance the ability of teachers at SDI Sekolah Embriyo Inspirator in developing teaching materials using Artificial Intelligence (AI) technology. The background of this program is based on the importance of teaching materials as strategic tools to improve the quality of education. However, many teachers face challenges in creating teaching materials due to limited skills and knowledge. By leveraging advancements in AI, such as ChatGPT, Gemini, Bing Image Creator, Quillbot, and Mendeley, this activity was designed to provide practical and innovative solutions. Through a situational analysis, it was identified that SDI Sekolah Embriyo Inspirator, located in Tambun Selatan, has significant potential for educational development but requires capacity building for teachers to utilize technology effectively. The program was carried out in several stages, including preparation and socialization, training on AI-based teaching material development, hands-on practice in creating teaching materials, and evaluation and reporting. The activity, conducted on May 17, 2024, demonstrated high enthusiasm among teachers, who successfully applied various AI tools in their teaching material development practices. Additional discussions enriched participants’ knowledge of learning strategies. As a follow-up, continued collaboration is proposed for advanced training and the development of digital learning media. This program successfully provided a tangible impact in enhancing teachers' competencies and supporting the achievement of better educational quality in the digital era.
Evaluasi Kinerja Pemasok Solder Pasta Menggunakan Metode Analytic Hierarchy Process (AHP) Solihin, Solihin Solihin; Muhendra, Rifki; Widyantoro, Murwan; Al Munawir, Al Munawir
Jurnal Mekanova : Mekanikal, Inovasi dan Teknologi Vol 10, No 2 (2024): Oktober
Publisher : universitas teuku umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/jmkn.v10i2.10452

Abstract

Penelitian ini membahas evaluasi kinerja pemasok solder pasta untuk perusahaan elektronika dengan menggunakan metode Analytic Hierarchy Process (AHP). Solder pasta, sebagai material utama dalam proses chip mounting, memegang peranan penting dalam menentukan kualitas sambungan antara komponen elektronik dan papan sirkuit cetak (PCB). Oleh karena itu, pemilihan pemasok yang tepat sangat krusial untuk menjaga kualitas produk akhir. Penelitian ini dilakukan untuk menilai empat pemasok solder pasta berdasarkan tiga kriteria utama: ketepatan pengiriman, harga produk, dan kualitas produk. Metode AHP digunakan untuk menimbang bobot masing-masing kriteria dan menentukan peringkat kinerja pemasok secara objektif. Hasil analisis menunjukkan bahwa ketepatan pengiriman dan kualitas produk adalah kriteria yang paling penting, sementara harga produk berada di posisi ketiga. Dari hasil evaluasi, pemasok B dinyatakan sebagai pemasok terbaik, diikuti oleh pemasok C, D, dan A. Keputusan ini diambil berdasarkan hasil perhitungan bobot dan skor yang konsisten. Penelitian ini menekankan pentingnya pemilihan pemasok yang tepat untuk menghindari masalah kualitas produk dan memastikan efisiensi dalam proses produksi. Dengan metode AHP, perusahaan dapat melakukan penilaian kinerja pemasok secara lebih terstruktur dan terukur, membantu pengambilan keputusan yang lebih tepat dalam manajemen rantai pasok