Penulis: admin

sumber: https://jmswrnr.com/blog/hacking-a-smart-home-device

Buku untuk belajar: “Dimitri P. Bertsekas: Reinforcement Learning and Optimal Control”

Playlist di Youtube: https://www.youtube.com/playlist?list=PLmH30BG15SIoXhxLldoio0BhsIY84YMDj

Berikut ini adalah aspek-aspek gedung cerdas menurut Peraturan Menteri Pekerjaan Umum dan Perumahan Rakyat Nomor 10 Tahun 2023 tentang Bangunan Gedung Cerdas:

• a. alarm kebencanaan dan pemberitahuan massal;
• b. kamera pengawas;
• c. kontrol akses;
• d. distribusi video dan papan informasi digital;
• e. audio visual;
• f. jaringan akses kabel dan antena terdistribusi;
• g. kelistrikan;
• h. pencahayaan;
• i. pengondisian udara;
• j. ventilasi;
• k. penyediaan air minum;
• l. pengelolaan air limbah;
• m. pengelolaan sampah;
• n. transportasi dalam gedung;
• o. parkir; dan
• p. pengelolaan utilitas.

Tautan ke permen dimaksud https://peraturan.bpk.go.id/Details/271011/permen-pupr-no-10-tahun-2023

Beberapa peraturan di Indonesia tidak menyebutkan tentang pengisian dalam gedung:

• Regulasi Penyediaan Infrastruktur Pengisian Kendaraan Bermotor Listrik Berbasis Baterai (KBLBB) https://gatrik.esdm.go.id/assets/uploads/download_index/files/f0294-bahan-dirbinus.pdf
• Peraturan Presiden RI No 79 tahun 2023 tentang Perubahan atas Peraturan Presiden No 55 tahun 2019 tentang Percepatan Program Kendaraan Bermotor Listrik Berbasisi Baterai Untuk Transportasi Jalan https://peraturan.bpk.go.id/Download/331723/Perpres%20Nomor%2079%20Tahun%202023.pdf
• Peraturan Menteri ESDM No 1 tahun 2023 tentang Penyediaan Infrastruktur Pengisian Listrik Untuk Kendaraan BerMotor Listrik Berbasis Baterai https://jdih.esdm.go.id/storage/document/Permen%20ESDM%20No%201%20Tahun%202023.pdf

Ilustrasi charging station indoor 

Sumber: https://www.facebook.com/photo/?fbid=2277200852317786&set=a.249797875058104

Microsoft baru saja merelease LLM (Large Language Model) dengan ukuran variabel 1 bit. (https://github.com/microsoft/BitNet). Komputasinya lebih cepat dibandingkan LLM dengan floating point.

versioning for data: https://dvc.org/

Salah satu senjata yang kontroversial adalah amunisi klaster (‘cluster munition’). Bom ini berisi banyak bom-bom kecil yang akan meledak secara terpisah.

Berikut ini beberapa artikel mengenai kontroversi amunisi klaster

Cluster Munitions No More: What This Means for the U.S. Military
https://www.moore.army.mil/armor/earmor/content/issues/2014/oct_dec/Jacobson.html

With American-Made Cluster Shells, Ukrainian Artillery Will Be More Destructive, Faster Moving And More Survivable
https://www.forbes.com/sites/davidaxe/2023/07/07/with-american-made-cluster-shells-ukrainian-artillery-will-be-more-destructive-faster-moving-and-more-survivable/?sh=2ad50a2a4e93

Cluster Munitions: What Are They, and Why Is the United States Sending Them to Ukraine?
https://www.csis.org/analysis/cluster-munitions-what-are-they-and-why-united-states-sending-them-ukraine

Myth and Realities about Cluster Munitions
https://www.hrw.org/sites/default/files/related_material/Myths%20and%20Realities%20About%20Cluster%20Munitions.pdf

Lihat di Medium.com

Lihat di Medium.com

Recent scientific journals that discuss energy measurement in programming languages include:

1. “Energy efficiency across programming languages: how do energy, time, and memory relate?” by Pereira et al. (2017) and its follow-up in 2021, which uses the Computer Language Benchmarks Game (CLBG) to compare the energy efficiency of various programming languages (https://dl.acm.org/doi/10.1145/3136014.3136031) (https://www.devsustainability.com/p/paper-notes-energy-efficiency-across-programming-languages)
2. “Ranking programming languages by energy efficiency” by Pereira et al. (2021), which validates the 2017 results using a more “real-world” analysis on a codebase that better represents day-to-day programming problems (https://www.devsustainability.com/p/paper-notes-energy-efficiency-across-programming-languages)
3. “Analyzing Programming Languages’ Energy Consumption: An Empirical Study” on ResearchGate, which compares the energy consumption of interpreted programming languages like PHP, Ruby, and JavaScript with languages like Swift, R, Perl, and Python (https://www.researchgate.net/publication/321415912_Analyzing_Programming_Languages%27_Energy_Consumption_An_Empirical_Study)
4. Analysis of programming languages used in solving energy problems” by Pelagie Flore Temgoua Nanfack et al., which discusses the use of programming languages in energy engineering and identifies C++ and Python as the most used GPLs, with Julia, R, and Matlab as the most prominent DSLs (https://www.e3s-conferences.org/articles/e3sconf/pdf/2022/21/e3sconf_enrconf2021_01006.pdf) (https://www.researchgate.net/publication/361973044_Analysis_of_programming_languages_used_in_solving_energy_problems)

These studies provide insights into the energy efficiency of various programming languages, focusing on both theoretical benchmarks and practical applications in the field of energy engineering.

20 dynamic programming https://blog.algomaster.io/p/20-patterns-to-master-dynamic-programming

1. Fibonacci Sequence
2. Kadane’s Algorithm
3. 0/1 Knapsack
4. Unbounded Knapsack
5. Longest Common Subsequence (LCS)
6. Longest Increasing Subsequence (LIS)
7. Palindromic Subsequence
8. Edit Distance
9. Subset Sum
10. String Partition
11. Catalan Numbers
12. Matrix Chain Multiplication
13. Count Distinct Ways
14. DP on Grids
15. DP on Trees
16. DP on Graphs
17. Digit DP
18. Bitmasking DP
19. Probability DP
20. State Machine DP