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Smart Packaging Machine dengan Menggunakan Teknologi Internet of Things (IoT) Berbasis Fuzzy Logic untuk Penghematan Daya Listrik Hanifa Zahra Dhiah; Novian Anggis Suwastika; Aji Gautama Putrada
Indonesia Journal on Computing (Indo-JC) Vol. 4 No. 2 (2019): September, 2019
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2019.4.2.318

Abstract

Sekali produksi dalam keadaan normal tanpa ada kendala apapun, daya listrik yang terpakai oleh mesin packaging adalah 1200-1800 watt, jika terjadi kendala pada saat produksi akan memakan daya listrik lebih dari itu. Penyebab terjadinya pemakaian daya listrik yang berlebih adalah, ketika stok makanan ataupun stok plastik telah habis, mesin tetap berjalan, dan hal tersebut tidak bisa ditangani secara langsung, karena mesin packaging ini tidak memiliki kemampuan untuk mematikan mesin secara otomatis ketika stok makanan telah habis, juga tidak adanya orang yang memonitoring hal tersebut secaralangsung dikarenakan banyaknya mesin yang beroperasi ketika waktu produksi berlangsung. Dampak dari hal tersebut, salah satu yang paling utamanya adalah borosnya konsumsi energi listrik pada saat sekali produksi, dan hal tersebut tidak baik bagi keuangan sebuah industri dan juga tidak baik bagi lingkungan. Tujuan dari pembuataan paper ini untuk mengurangi permasalahan penghematan konsumsi energi listrik dengan dibuatnya sistem yang menggunakan teknologi Internet of Things (IoT) dengan berbasis fuzzy logic untuk penghematan daya listrik, analisis Fuzzy logic digunakan untuk mengolah inputan daya listrik yang di hasilkan mesin, yang diperuntukkan mengontrol kinerja mesin. Hasil yang didapatkan dengan menggunakan metode fuzzy logic serta teknologi IoT sebagai kontrol otomatis adalah produktivitas mesin menjadi lebih hemat 80.15% dari biasanya.
Smart Packaging Machine (SPANE) berbasis Fuzzy Logic pada Jaringan Internet Of Things (IoT) untuk Optimasi Packing Berat Makanan Taufik Suyanto; Novian Anggis Suwastika; Aji Gautama Putrada
Indonesia Journal on Computing (Indo-JC) Vol. 4 No. 2 (2019): September, 2019
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34818/INDOJC.2019.4.2.320

Abstract

Salah satu permasalahan optimasi kemasan makanan adalah ketidaktepatan berat kemasan makanan. Kasus ketidaktepatan berat kemasan makanan ini sering terjadi pada sistem kemasan makanan konvensional yang sepenuhnya mengandalkan pada perhitungan timbangan digital tanpa proses pengecekan berat secara berulang. Untuk mengatasi kasus ketidaktepatan berat kemasan makanan tersebut diperlukan pengawasan yang terus menerus serta sistem yang mampu melakukan perhitungan dan memberikan keputusan yang tepat pada berat makanan yang sudah dikemas. Internet of Things mampu memberikan kemampuan untuk melakukan pengawasan otomatis secara terus menerus. Sementara fuzzy logic memberikan kemampuan untuk memberikan keputusan terhadap ketepatan berat kemasan makanan. Pada penelitian ini, dibangun smart packaging machine (SPANE) yaitu sistem timbangan digital berbasis IoT dan fuzzy untuk meningkatkan optimasi kemasan makanan. Tahap pertama, pengambilan data dari alat penghitung beban konvensional dan digital. Tahap kedua, data timbangan di analisa dengan kontrol fuzzy logic. Tahap ketiga, ditentukan hasil optimasi yang lebih baik dari kedua alat penghitung beban. Hasil pengujian yang dilakukan didapatkan hasil pada timbangan konvensional 96.24% sedangkan pada SPANE 98.50%. Optimasi kemasan makanan dapat ditingkatkan hingga 3%.
Upwelling Solution Prototype Using Wireless Sensor Network Novian Anggis Suwastika; Sidik Prabowo; Bayu Erfianto
International Journal on Information and Communication Technology (IJoICT) Vol. 2 No. 2 (2016): December 2016
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/IJOICT.2016.22.128

Abstract

One of the problems in the freshwater fisheries sector is the phenomenon of upwelling can occur anytime without warning signs, especially in lakes and lake. This problem causes a failed harvest and fish farming business owners suffered a great loss due to the death of fish in large numbers. Upwelling caused by toxic substances results increased nitrification from fish feces and remaining fish feed deposited at the bottom of the Lake and rises to the surface quickly. Ammonia (NH3) in the form of ionized causing no fish that are on the surface of the Lake is not enough oxygen to meet the needs of hemoglobin, so cannot bind oxygen or lack of dissolved oxygen (DO). The condition causes the death of the fish very much. This research built a monitoring system to monitor the condition of the temperature at the surface and at the underwater of the lake and to monitor DO levels to check the possibility of upwelling. Temperature sensor and DO sensor connect with microcontroller and . The results of experiment system on the area fish farms (karamba) and not the area fish farms, obtained the test results are accurate and real time.
Bagaimana IoT Dapat diManfaatkan untuk Melatih Keterampilan Motorik Kasar Melalui Permainan Hopscotch? Irvan Naufali Rahmanto; Novian Anggis Suwastika; Rahmat Yasirandi
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 3 (2020): Juni 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (504.581 KB) | DOI: 10.29207/resti.v4i3.1962

Abstract

Motor development is the result of changes caused by physical growth, muscle strengthening, and the ability to interact with the environment. There are two types of motor development, namely gross motor and fine motor. The best age for a child for motor development is 0 to 8 years. At the age of 4 to 6 years mostly of children's gross motor activities related to balance and coordination. Child’s development of gross motor can be achieved by stimulating using games. Hopscotch is type of game that implements balance and coordination skills that support the development of gross motor skills. In Indonesia, children aged 4 years to 6 years have started to enter the Early Childhood Education and Kindergarten level. When the child is at school, parents cannot provide motor stimulation and must wait for the child's motor development reports submitted by the teachers. In this study we implemented system to stimulate the development of gross motor balance and coordination in children aged 4 to 6 years using hopscotch game integrated with Internet of Things (IoT) technology. IoT provides the ability to read, record, and evaluate children's activities and publish their results online for parents to access. This system is evaluated based on the system's functionality and performance parameters. From the test results found that the functionality of the system runs 100% by the specified function. The system performance test results from the sensor readings are under 1 second and the accuracy of the assessment activity of the first test variation of the foot position in the middle of 68.75%, and the foot position at the edge of 81.25% with the program delay setting from the node to the IoT platform an average of 1 second.
MODEL PREDIKSI SIMPLE MOVING AVERAGE PADA AUTO-SCALING CLOUD COMPUTING Novian Anggis Suwastika; Praditya Wahyu W; Tri Broto Harsono
Jurnal Ilmiah Teknologi Infomasi Terapan Vol. 1 No. 3 (2015)
Publisher : Universitas Widyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (426.703 KB) | DOI: 10.33197/jitter.vol1.iss3.2015.63

Abstract

[INA]Simple  Moving  Average  (SMA)  yang  merupakan salah  satu  metode  pada  model  sistem  prediksi  yang berbasis  time  series  dengan  karakteristik komputasinya  yang  sederhana  dibandingkan  dengan metode  yang  lain.  Analisis  model  prediksi  SMA  ini akan diujikan pada kondisi stabil dan fluktuatif untuk melihat  performansi  model  dengan  parameter  uji Mean Time Between Failure (MTBF), Mean Time To Repair  (MTTR),  Availability  Operational  (AO), Down Time dan   Up Time. Hasil implementasi model nilai AO di atas 96%. [EN]Simple  Moving  Average  (SMA),  is  one  method  for prediction  system  model  time  series  based  with  a simple  computational  characteristics  compared  with other  methods.  Analysis  of  SMA  prediction  modelswill be  tested in  a stable condition  and  fluctuating  to see  the  performance  of  the  model  with  test parameters  Mean  Time  Between  Failure  (MTBF), Mean  Time  To  Repair  (MTTR),  Operational Availability  (AO),  Down  Time  and  Up Time.  Results  of  the  implementation  of  the  model  AO  value  above 96%.
PENERAPAN TEKNOLOGI LOCATION AWARENESS SYSTEM UNTUK PENINGKATAN PEREKONOMIAN PENGUSAHA MIKRO-KECIL-MENENGAH (UMKM) DI PANGANDARAN Maman Abdurohman; Novian Anggis Suwastika; Erwid M Jadid; Sidik Prabowo
Charity : Jurnal Pengabdian Masyarakat Vol 2 No 1 (2019): Charity - Jurnal Pengabdian Masyarakat
Publisher : PPM Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/charity.v2i1.2064

Abstract

Pangandaran merupakan daerah pariwisata yang dikunjungi ratusan ribuan pengunjung setiap tahunnya. Tingginya jumlah pengunjung ke daerah pariwisita Pangandaran memicu munculnya banyak pengusaha kecil dan menengah di daerah tersebut. Pengusaha di bidang penginapan murah, souvenir, makanan, dan jasa guide wisata adalah beberapa contoh bidang usaha kecil dan menengah yang tumbuh subur. Meningkatnya jumlah usaha di masing-masing bidang meningkatkan kompetisi dan berpengaruh terhadap cara dan pendekatan marketing untuk mendapatkan pelanggan. Kebutuhan wisatawan adalah informasi yang akurat dan tepat mengenai produk atau jasa layanan yang ditawarkan. Marketing berbasis teknologi informasi terutama teknologi yang memanfaatkan internet merupakan salah satu cara yang paling efektif dan efisien yang digunakan untuk melakukan marketing. Salah satu contoh teknologi informasi berbasis internet adalah media social yang berbasis aplikasi geotagging memudahkan pengguna untuk membaca review serta penunjuk lokasi dengan tepat.Teknologi location awereness systema dalah teknologi berbasis internet yang dapat digunakan pengguna untuk mendapatkan informasi yang tepat dan akurat berbasis pada lokasi – lokasi yang diinginkan oleh pengguna. Bagi pengusaha teknologi ini dapat dimanfaatkan untuk melakukan marketing atau promosi kepada calon pembeli / pengguna jasa. Teknologi location awereness system yang dibangun berbasis website yang dapat diakses dengan berbagai perangkat, baik perangkat desktop maupun mobile (smartphone yang banyak dimiliki oleh wisatawan).
Lorentz Force Experiment Prop based on IoT (E-Lorentz) to Support the Learning Process of Physics Subject for 9th Grade Hana Rifdah Sakinah; Novian Anggis Suwastika; Muhammad Al Makky; Qori Qonita
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 5, No 4 (2021): Oktober 2021
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v5i4.3281

Abstract

Lorentz force teaching aids are proven to improve student’s cognitive abilities. The average result of N-Gain after using Lorentz force prop is 0.8 which is included in the high category. In the learning process, the teacher needed to design the course content, guiding, directing, and evaluating student learning outcomes. In the current situation, this learning process is still being done conventionally. Along with the development of technology, the Internet of Things (IoT) can facilitate the teaching and learning process. IoT allows data to be sent across a network without the need for human-to-human or human-to-computer interaction. The implementation of IoT in Education can also be called Internet of Education Things (IoET). IoT has many benefits in the teaching and learning process for both teachers and students. Students can learn directly with teaching aids so that their cognitive understanding increases. Teachers can also curtail activities that were previously done manually by reading activities that have been automatically saved, such as preparing, directing, giving questions, to recapitulating assessments. In this study, IoT technology has been implemented into the Lorentz force teaching aid (E-Lorentz)  and the system performance has been analyzed based on its functionality parameters, accurate data reading and suitability of the assessment are the main parameters. The reading accuracy test yielded a difference of 0.474 X 10-4 N, with an error percentage of 2.92% determined by using the Mean Absolute Percentage Error (MAPE) method. Data reading and suitability of the assessment have been tested and are able to run efficiently at 100%
Internet of Things (IoT) Based Free Fall Motion Instructions in Physics Subjects for Class X Students Muhammad Nabil Fauzan; Novian Anggis Suwastika; Erwid Musthofa Jadied
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 6, No 2 (2022): April 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v6i2.3774

Abstract

Physics subjects are one of the most difficult materials for students to understand. According to the research that has been done, props are one of the answers to make it easier for students to understand physics lessons. Since most physical materials are directly related to everyday life, props serve as a practical medium to facilitate the learning process. Learning physics concepts is easier to understand by using props which we simulate based on real events. One of the materials in physics class is free-fall motion. In this material, when an object falls from a height and has no initial velocity, its falling velocity is calculated. In this study, we apply the Internet of Things (IoT) to the props of free fall material and by adding Ambrose's concepts namely practice and feedback, so that students can better understand the material of free-fall motion. By implementing IoT, the system can read, record, and evaluate the experimental activities performed by users, and users who already have an account can access it online through the website. The system was evaluated based on system functionality and accuracy generated by the system. Based on the test results, it was found that all functions included in the system were 100% working. Based on the three tests performed, the system achieved an average accuracy of 80%.
Technology Acceptance Model (TAM) untuk Sistem Smart Lighting di PT. XYZ Teja Laksana; Novian Anggis Suwastika; Muhammad Al Makky
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 11 No 2: Mei 2022
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1231.796 KB) | DOI: 10.22146/jnteti.v11i2.3784

Abstract

This research was conducted to identify and measure the significance of the factors or variables that influence technology acceptance for a smart lighting system built based on the internet of things (IoT) and artificial intelligence (AI) technology implemented in XYZ company. The smart lighting system implemented was a dedicated smart lighting system for office space (more than 20 m2 to 60 m2) to sense the conditions and make automatic adjustments to room conditions. Before mass production, the smart lighting system would be reviewed for its technology acceptance by users using the technology acceptance technology model (TAM). TAM is a method used to identify factors that affect the technology acceptance based on the functionality of the smart lighting system. Based on the smart lighting purposes and conditions from the XYZ company, six variables influencing the acceptance of smart lighting systems, namely reliability and accuracy (RA), perceived ease of use (PEOU), perceived usefulness (PU), attitude toward using (ATU), behavior intention (BI), and actual system use (AU) were proposed. These variables influenced each other and formed eight hypotheses, namely H1, H2, H3, H4, H5, H6, H7, and H8. Using the purposive sampling technique, validity test with product-moment correlation, and Cronbach’s alpha validity test, five hypotheses had a positive and significant effect, namely H1, H4, H5, H6, and H7. The RA variable influenced the PU variable, the PU variable influenced the ATU variable, the PEOU variable affected the ATU variable, the ATU variable influenced BI, and the PU variable affected BI. Meanwhile, the three hypotheses had negative and insignificant impacts, namely H2, H3, and H8. The RA variable did not affect the PEOU, the PEOU variable did not affect the PU, and the BI variable did not affect the AU variable.
Perancangan Intrusion Prevention System pada Jaringan Software Defined Networks Muhammad Arief Nugroho; Novian Anggis Suwastika
JUMANJI (Jurnal Masyarakat Informatika Unjani) Vol 2 No 1 (2018): Jurnal Masyarakat Informatika Unjani
Publisher : Jurusan Informatika Universitas Jenderal Achmad Yani

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (979.482 KB) | DOI: 10.26874/jumanji.v2i1.17

Abstract

Keamanan jaringan telah menjadi bagian penting dalam implementasi di dalam jaringan Software Defined Network (SDN). Menyelenggarakan jaringan aman di dalam jaringan SDN merupakan tantangan tersendiri karena bagaimana sebuah perangkat jaringan dapat mampu mengenali, mengidentifikasi, dan mencegah serangan di level perangkat jaringan bukan di level host. Intrusion Prevention System (IPS) memberikan kemampuan untuk mengenali, mengidentifikasi, dan mencegah serangan yang terjadi secara otomatis. Integrasi IPS ke dalam jaringan SDN memberikan keuntungan bahwa administrator dapat mengatur dan memonitor keamanan jaringan secara terpusat. Dari hasil pengujian yang telah dilakukan, integrasi IPS ke dalam jaringan SDN mampu mendeteksi dan mencegah serangan yang terjadi dalam jaringan SDN sesuai dengan rule yang terdefinisi dalam IPS. Namun, terjadi penurunan kinerja throughput, delay, dan jitter di dalam jaringan SDN. Hal ini terjadi karena setiap paket yang melewati perangkat jaringan harus melewati proses pengecekan rule di dalam IPS.