Brima @justbrima

Di Aceh, ada filosofi unik soal rezeki: rezeki tak selalu dimasak hari ini, kadang dijaga untuk hari esok. Dari sinilah lahir Sie Balu. 📹 : @/sukmadewi.official Bukan sekadar olahan biasa, Sie Balu adalah ilmu pengawetan daging alami warisan ratusan tahun. Tanpa listrik atau pengawet kimia, daging segar hanya diolah dengan garam, terik matahari, dan kesabaran hingga tahan berbulan-bulan. Dulu, Sie Balu menjadi perbekalan vital pejuang Aceh saat bergerilya di hutan melawan penjajah. Praktis, tahan lama, dan jadi penyambung hidup di masa sulit. Bukti nyata jeniusnya kearifan lokal Nusantara dalam merawat ketahanan pangan. Di daerah Kawan @GNFI, adakah tradisi pengawetan daging serupa yang punya cerita sejarah unik? Tulis di kolom komentar, ya.

Anyone gonna talk about her putting a whole bar of butter into the pasta and then putting it into the bowl with it still whole

Saya ada data 300+ emiten yang sudah mengeluarkan laporan keuangan q2 2026. Hari ini saya mau recap emiten mana aja yang terbaik. Kita bagi jadi bbrp kategori : 1. Top 10 Value Stocks 2. Top 10 Growth Stocks 3. Top 10 Turnaround dan Recovery Stories 4. Top 10 Earnings Miss dan Kinerja Terburuk 5. Top 5 Peringkat Kinerja Sektor 6. Top 10 Earnings Winners 2Q 2026 Mari kita simak :

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Pada 8 September 2025, terjadi pergantian Menkeu dari Sri Mulyani ke Purbaya Yudhi Sadewa. Salah satu komentar yang disampaikan Pak Purbaya saat itu adalah ekonomi kita salah arah, dan demo Agustus adalah cermin kondisi itu. Ia menjanjikan kebangkitan dan perbaikan ekonomi Indonesia. Kini, 10 bulan berlalu. Survei SMRC menunjukkan hasil mengejutkan. 49,4% warga menilai kondisi ekonomi buruk/sangat buruk. Tren penilaian menunjukkan pemburukan, dari 22,7% di Nov 2025 menjadi 49,4% di Juli 2026. Terdapat 45,8% warga yg menilai kondisi ekonomi sekarang lebih buruk/jauh lebih buruk dibanding tahun lalu. Sentimen positif thd kondisi ekonomi turun tajam, dari 45,2% di Nov 2025 menjadi 19,7% di Juli 2026. Sebagai warga biasa, tentu saya berharap terjadi perbaikan kondisi ekonomi. Kasihan rakyat kecil-menengah. Survei ini juga beresonansi dg penilaian berbagai lembaga internasional yang kerap dirisak hanya karena hasilnya kurang sesuai selera, dan juga berkorelasi dg pelemahan nilai tukar rupiah dan IHSG. Selamat bekerja keras untuk Tim Ekonomi Kabinet Merah Putih!

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Morgan Stanley just mapped out the entire AI infrastructure supply chain, and it reveals who actually gets paid at every layer of the trillion dollar buildout (Save this). This heatmap breaks the AI infrastructure value chain into two dimensions those who owns and operates the data centers at the top and what physical and technical components get built underneath to make those data centers function. At the top sit the owners/operators, the hyperscalers like Meta, Alphabet, Amazon and Microsoft, alongside data center REITs, private equity giants like Blackstone and Brookfield, enterprises and neoclouds including CoreWeave and Nebius. These are the companies writing the massive capex checks that fund everything below them. Below that sits the actual build out, split into seven layers, semi production, processors, server components, servers, network, internal power/cooling and power supply. Semiconductor production is dominated by names your audience already knows well, Nvidia and AMD for GPUs, TSMC adjacent foundries, ASML and Applied Materials for capital equipment, and Micron and SK Hynix under memory/storage. But the less obvious money is in the physical infrastructure layers most retail investors never look at. Server components include passive parts from Yageo and Murata, thermal solutions from Sanyo Denki, and PCB substrates from companies like Unimicron. Network infrastructure includes InfiniBand and Ethernet gear from Nvidia and Arista, plus optical/DCI routing from Cisco and Ciena. Internal power and cooling is arguably the most underappreciated category here. It includes liquid cooling specialists like Vertiv and CoolIT, power electronics from Siemens and Eaton, and uninterruptible power supply makers like ABB and Legrand, all companies solving the literal heat and electricity problem created by cramming more GPUs into less space. So who benefits from all of this? Everyone in every box benefits in some way but the real insight is that value doesn't concentrate at just the GPU layer anymore. The hyperscalers at the top are distributing capex across seven distinct physical layers which means the picks and shovels opportunity set has expanded well beyond Nvidia into cooling, grid infrastructure, and power generation. Milk Road Pro is tracking each one of these layers, come join us for just a dollar using the link below!

Foto ini layak menjadi kandidat photo of the year. Imo. Kuat sekali. Presiden kudu marah ke kementerian terkait dan kepala daerahnya. Kog sekolah rusak tidak segera diperbaiki? Ini malah nuding jurnalis Londo Ireng. Media sdg lakukan tugas kontrol sosial kog. Harusnya Presiden terbantu cc @dewanpers @FJPINDONESIA

tasteatlas merilis 100 best cuisines in the world 25/26. posisi 1 ditempati italia. jepang ada di urutan 6 dan indonesia ada di peringkat 10. gimana menurut kalian? kalo mau liat list lengkapnya ada di sini -> tasteatlas.com/best/cuisines

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A sharp observation, and you’re right about the arithmetic. Bcs the thresholds are defined as multiples of the poverty line, we r effectively deflating by the poverty basket. The poverty line increased from Rp425,250 in March 2019 to Rp582,932 in March 2024 around 37%, compared with cumulative CPI inflation of roughly 16%. So even in CPI real terms, the lower middle class threshold increased by almost 20%. Since food accounts for around 74% of the poverty basket, with rice as the largest component, part of the story is clearly about relative food prices. BUT INFLATION FOR WHOM? Households near the lower-middle threshold spend a much larger share of their budget on food than the representative household underlying the CPI weights. For them, the poverty line deflator is likely the more appropriate measure of the cost of living. Saying that “real expenditure rose at every percentile” also reflects a choice of deflator. It answers a different question, not necessarily the one most relevant for households near the poverty line. More importantly, the conclusion does not hinge on the choice of deflator alone. As of 2024, median middleclass expenditure (around Rp2.85 million per month) sits much closer to the lower threshold than to the middle of the band. Bank Indonesia’s consumer survey also shows households allocating a rising share of income to consumption and a declining share to saving over 2022–2024 (makan tabungan). Employment has also become more informal. So the picture is a combination of relative price effects and weak income growth. That’s why we describe our finding as a conditional association rather than a causal claim. Whether one concludes that the middle class has “shrunk” depends partly on the metric. But whichever metric one prefers, the picture is one of a middle class under increasing economic pressure.

Joshua Walker @joshuawalkersoc

2 weeks ago

Puzzle: Why do the World Bank, BPS and Basri + Wihardja claim the middle class has shrunk despite their data showing real gains for every percentile? Explanation: They're deflating expenditure values using the National Poverty Line, not the CPI (a very unusual thing to do).

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Di balik proyek MRT Jakarta ternyata tersimpan peninggalan abad ke-17! Inilah cara MRT Jakarta mewujudkan transportasi masa depan tanpa melupakan jejak sejarah Kota Jakarta 🤩 Sumber: @mrtjakarta #DKIJakarta #JagaJakarta #JakartaKotaGlobal #MRTJakarta #UbahJakarta

Bahkan yang terbaik pun tidak bisa menulis ulang takdir. Cristiano Ronaldo akhirnya harus menerima kenyataan pahit bahwa dirinya memang tidak pernah ditakdirkan untuk memenangkan Piala Dunia. Meski telah menjaga fisik di level tertinggi hingga usia 41 tahun demi memimpin Portugal di enam edisi berbeda, ambisi besarnya selalu kandas jauh sebelum menyentuh partai puncak. Kegagalan ini membuktikan bahwa kerja keras luar biasa sekalipun kadang tidak berdaya melawan garis takdir, menyisakan satu ruang kosong yang selamanya tidak akan pernah bisa ia isi. This is the end. The Final Dance is over. The King leaves without his crown 💔

The end. 👑🇵🇹

𝐓𝐡𝐚𝐧𝐤 𝐘𝐨𝐮 𝐂𝐫𝐢𝐬𝐭𝐢𝐚𝐧𝐨 𝐅𝐨𝐫 𝐄𝐯𝐞𝐫𝐲𝐭𝐡𝐢𝐧𝐠 🥺🇵🇹

Langkah yang baik.

tempo.co @tempodotco

4 weeks ago

Banggar DPR: Anggaran MBG 2027 Jadi Rp 174 Triliun

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Morgan Stanley’s message is nuanced. They are not turning bearish on AI. They are arguing that the memory trade is transitioning from its explosive first phase into a more normal phase of the cycle. The key question investors are debating is whether hyperscalers, particularly the largest AI infrastructure buyers, are beginning to accumulate excess compute capacity. If some AI infrastructure is no longer fully utilized and starts being resold or leased to third parties, pricing power for GPUs and memory could moderate. Morgan Stanley refers to this as “chipflation,” where competition and excess capacity gradually reduce hardware pricing. Memory remains one of the strongest beneficiaries of AI because HBM and DRAM demand continues to outstrip supply. However, Morgan Stanley notes that several leading indicators are approaching peak momentum. Memory pricing growth is slowing, inventory conditions have normalized considerably, and earnings revisions have already been overwhelmingly positive. Historically, this combination often marks the point where share prices consolidate even though fundamentals remain healthy. Importantly, they distinguish between a peak in the rate of change and a peak in the cycle. Those are very different. Investors frequently confuse slowing growth with declining growth. Semiconductor stocks often begin correcting once earnings momentum becomes “less good,” even while profits continue reaching record highs. Another concern is positioning. Memory has become one of the most crowded trades globally, with investors heavily concentrated in names such as Samsung, SK Hynix, and Micron. When positioning becomes this crowded, even minor disappointments during earnings season can trigger sharp pullbacks as investors take profits. What Morgan Stanley will be watching most closely is not memory companies themselves, but the AI hyperscalers. If companies such as Microsoft, Amazon, Meta, Alphabet, or OpenAI begin signaling slower infrastructure spending, weaker token economics, or more disciplined capital allocation, investors may question how sustainable the current pace of memory demand will remain. The focus is shifting from hardware suppliers toward the spending intentions of the customers. The long-term thesis, however, remains intact. Morgan Stanley still expects AI-related earnings growth of roughly 35% to 40% in 2027 and continues to view agentic AI as a structural investment theme. Their message is that the AI infrastructure build-out is unlikely to end, but the market may be entering a period where expectations become more realistic and valuation expansion gives way to earnings-driven returns. In other words, this looks less like the end of the AI memory supercycle and more like the transition from Phase One, characterized by explosive hardware deployment, to Phase Two, where investors become increasingly focused on utilization, monetization, and return on capital. We broadly share that view. Markets often correct when expectations become overly optimistic, even while fundamentals remain strong. AI infrastructure spending is unlikely to follow a straight line, but the long-term demand for high-performance memory continues to strengthen as model sizes grow and inference workloads expand. We view the current pullback as an opportunity to selectively add exposure to high-quality memory names rather than a reason to abandon the sector. In our view, this is a correction to buy, not the beginning of a structural downturn.

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🚨🇩🇪 BREAKING: Jürgen Klopp as new Germany head coach, here we go! 💥 Klopp has accepted to take over; long term contract details, project and RB Group exit still under discussion, but he will be the new head coach. RB considered Glasner as replacement but he signs at #NFFC. Klopp is back.

Lagi ramai narasi kebijakan fiskal dan moneter Indonesia "tabrakan". BI naikin rate 100 bps dalam 2 bulan sambil nyerap likuiditas via SRBI. Di saat yang sama Kemenkeu melebarkan defisit dan menempatkan dana pemerintah Rp400 triliun di Himbara. Satu ngerem, satu ngegas. Kalau kombinasinya begini, rupiah arahnya ke mana? Based on framework klasiknya Mundell-Fleming. Dampak policy mix ke kurs tergantung seberapa bebas modal asing keluar-masuk. • Di negara high capital mobility: kurs digerakkan capital flow. Rate naik → asing masuk ngejar yield → currency menguat. • Di negara low capital mobility: kurs lebih digerakkan neraca dagang. Fiskal ekspansif → impor naik → trade deficit melebar → currency melemah. Indonesia di tengah2. Capital account terbuka, tapi asing terus menyusut di dua pasar sekaligus: di SBN porsinya tinggal ~13% dari ~40% satu dekade lalu, di equity dari ~65% ke 42%. Untuk mix moneter ketat × fiskal ekspansif, jawaban teorinya: indeterminate. Rate tinggi menarik inflow, ekspansi fiskal bikin investor minta risk premium. Dua gaya tarik-menarik. Rupiah akan menguat atau melemah tergantung gaya mana yang lebih kuat. Ada satu istilah, namanya differential. Differential itu selisih suku bunga acuan BI dan the Fed (BI Rate dikurangi Fed Funds Rate). Kenapa ini yang dilihat investor global? Mereka selalu punya pilihan parkir di aset dollar, currency paling aman di dunia. Buat mau pindah ke aset rupiah (yang lebih berisiko) harus ada bayaran ekstra. Differential itulah bayarannya. BI 5,75% dan Fed 3,63% artinya differential ~2,1pp: pegang SBN dapat ekstra ~2,1% per tahun dibanding instrumen dollar. Pertanyaannya: cukup nggak differential tersebut untuk compensate risiko rupiah yang ditanggung? Cara ngukurnya bisa dilihat langsung dari perilaku asing di SBN secara historis. • Era differential tebal 2010–2016, rata2 6,5pp: asing masuk hampir tanpa henti, porsinya naik dari belasan persen ke hampir 40%. • 2017–2019 differential menipis ke ~3,4pp, tapi asing bertahan di 38–40%. Posisi yang sudah terbangun itu sticky/lengket. • Setelah 2020 porsinya longsor. Diawali efek banjir penerbitan SBN era COVID, lalu asing benar2 keluar di 2022 saat differential terkompresi ke 0,4–2pp. Sekarang porsinya cuma 12,75%, terendah dalam dua dekade. Posisi sekarang, differential 2,1pp hari ini masih jauh dari pembanding historisnya. Era yang membangun porsi asing 40% itu differential rata-rata 5,5pp, dan dipertahankan satu dekade. Respons asing terhadap hike kemarin juga masih tipis: 12,6% → 12,75% di Q2. Rupiah masih di ~17.900. Artinya concern fiskal masih jadi overhang di mata investor global, dan yield yang ditawarkan belum menutupnya. Tentu bukan PR yang bisa diselesaikan BI sendirian. Hike hanya memperbaiki sisi kompensasi. Sisi risikonya: arah defisit, kualitas belanja, kejelasan pembiayaan, hanya bisa dibereskan dari fiskalnya sendiri. Era asing 40% dulu dibangun dengan keduanya: differential lebar dan fiskal yang disiplin.

Data klasifikasi investor IDX per Juni 2026 sudah terbit. Data ini sudah mencerminkan posisi setelah rebalancing MSCI akhir Mei dan FTSE 22 Juni. Thread ini menganalisis saham yang dimiliki ETF dan Mutual Fund (MF) di atas Rp 100 M. Metodologi: perubahan jumlah lembar saham. Naik > +3% = Buy turun > -3% = Sell sisanya Hold ETF (64 saham > Rp100 M): Dari ranking atas, Buy Mei-Juni antara lain BMRI, GOTO, INDF Banyak yang Sell/Hold, termasuk yang Sell 2 bulan berturut-turut (AMMN, EMAS, ANTM) Ranking menengah ada cukup banyak Buy seperti BUMI, UNVR, AKRA, ISAT. Secara agregat kepemilikan ETF turun: Rp115 T (Apr) → Rp100 T (Mei) → Rp86 T (Jun) Mutual Fund (163 saham > Rp100 M): Mayoritas Sell & Hold. Buy hanya sedikit (AMMN, MDKA, AADI, TINS) BBCA di-Hold 2 bulan meski harganya turun dalam. Ada catatan klasifikasi khusus untun SOHO & BINA Agregat kepemilikan MF juga turun tajam: Rp562 T (Apr) → Rp515 T (Mei) → Rp462 T (Jun) Inti kesimpulan: Kontributor utama selling asing di Juni adalah MF (sebagian besar dimiliki asing) Karena strategi aktif, mereka jual meski harga sudah rendah karena belum ada katalis positif yang kuat ETF lebih pasif Semoga kebijakan ke depan bisa menarik mereka kembali. Data diolah dari IDX Bukan rekomendasi investasi

Rudiyanto @Rudiyanto_zh

a month ago

Data klasifikasi investor dari IDX per Juni 2026 sudah terbit Data akhir Juni sudah mencerminkan kepemilikan saham setelah rebalancing MSCI pada akhir Mei dan FTSE pada 22 Juni Saham apa saja yang di Buy, Sell, dan Hold oleh Mutual Fund (MF) dan Exchange Traded Fund (ETF)?

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Ronaldinho menyalami para pemain timnas Brazil satau persatu jelang laga vs. Skotlandia lagi tadi. 🇧🇷🤝

🫪

Rudiyanto @Rudiyanto_zh

a month ago

Data klasifikasi investor dari IDX per Juni 2026 sudah terbit Data akhir Juni sudah mencerminkan kepemilikan saham setelah rebalancing MSCI pada akhir Mei dan FTSE pada 22 Juni Saham apa saja yang di Buy, Sell, dan Hold oleh Mutual Fund (MF) dan Exchange Traded Fund (ETF)?

5 11 52 8K 18