@infoberita17: Pada 2015, publik dihebohkan oleh kisah Asyani, seorang nenek berusia 63 tahun asal Situbondo yang harus berhadapan dengan hukum setelah dituduh mencuri tujuh batang kayu jati milik Perum Perhutani. Asyani bersikeras bahwa kayu tersebut berasal dari pohon yang ditebang oleh almarhum suaminya di lahan keluarga mereka. Namun, pengakuannya tidak menghentikan proses hukum hingga dirinya harus menjalani penahanan sejak Desember 2014. Setelah hampir tiga bulan ditahan, Asyani akhirnya diperbolehkan pulang melalui penangguhan penahanan. Namun, pada April 2015, pengadilan tetap menyatakannya bersalah dan menjatuhkan hukuman satu tahun penjara dengan masa percobaan 15 bulan serta denda Rp500 juta subsider satu hari kurungan. Kisahnya semakin menyayat hati ketika ia menangis dan bersimpuh di hadapan hakim demi memohon keadilan. Ironisnya, Pasal 34 ayat (1) UUD 1945 menyebutkan bahwa fakir miskin dan anak-anak terlantar dipelihara oleh negara. Sementara Pasal 28D ayat (1) menjamin setiap orang berhak mendapatkan perlindungan hukum yang adil. Namun, kisah Asyani menyisakan pertanyaan besar: jika negara seharusnya melindungi rakyatnya, mengapa masyarakat kecil justru sering kali harus berjuang begitu keras untuk mendapatkan keadilan? Sebab, hukum seharusnya tidak hanya tajam terhadap mereka yang lemah, tetapi juga mampu melindungi mereka yang tidak memiliki kekuasaan. [via: Perhutani, ANTARA, CNN, & JDIHN] #kisahpilu

infoberita
infoberita
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Monday 09 November 2026 03:44:09 GMT
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defors15
defors :
nenek kyk gini nggak di kasianin, giliran Jokowi langsung dikasianin
2026-11-09 03:51:07
98
redi_04.0
Redi🥀🍃 :
berita lama
2026-11-09 06:26:40
8
kemet0nly
Mam :
Hukum tumpul ke atas tajam kebawah
2026-11-09 05:03:51
5
vanwie52
Brokoliyy🥦 :
hukum itu adil sama yang punya uang
2026-11-09 04:59:44
9
lastryaja4
Lstry✨ :
Yang korupsi sampe miliyan di lindungi sedangkan masyarakat yg udah tua hanya mencuri kayu langsng di hakimi🥹
2026-11-09 06:36:00
13
abd.latif.98
Kopi Pahit☕ :
Amalkan; Laa ilah'ha ila anta subahanaka inni kuntu minazolimin, semampunya abis sholat . insyaallah kita terhindar dari manusia-manusia Dzolim.🙏🏻
2026-11-09 07:44:16
10
yanzzstorentb01
JB || YANZZ STORE NTB☕ :
anjirr kasian bangett
2026-11-09 03:45:52
2
fakiezy
Ky :
Mohon Pengertianya Untuk Pemerintahan " SETIDAKNYA JIKA MANUSIA BERJALAN KESUSAHAN JANGAN MENAMBAH KESENGSARAAN "
2026-11-09 07:26:11
3
markompet
Umar m? :
Tragis cok
2026-11-09 04:44:24
1
its.dikyy
𝐃𝐢𝐤𝐱𝐬𝐳 :
#INDONESIASADAR
2026-11-09 05:09:24
1
world07x
Fan :
hukum adil hanya untuk yang ber uang
2026-11-09 06:58:03
1
luffytaro33567
luffy :
2015 ga ada tiktok. mungkin kalau nenek itu khasus nya di tahun belakangan ini. pasti udah banyak donatur ya ngasih uang
2026-11-09 07:09:36
1
jeejuuu1
♕𝚓𝚎𝚎𝚓𝚞𝚞🔥🔞⏩📢🎧🐾 :
7 batang kayu,,,gk 7m gk 7t kocak dmn ke adilan,,gk curing ke atas malah tumpul ke bawah hukum
2026-11-09 12:05:28
1
aixyschcaa
syahsyah :
500jt?? si nenek cuman ngambil 7 kayu loh, kok sampe segitunya si, jahat banget emang, kejam, koruptor nih diem diem wae tuh
2026-11-09 22:26:06
1
xiezoe
Xiezoe :
kenapa harus didenda dikembalikan dan meminta maaf kan selesai Indonesia sudah rasis
2026-11-09 06:20:17
1
abdulyakin67
steven :
Pemimpin Negara punya hukum tapi tidak punya hati. hanya manusialah yg punya hati.🥺
2026-11-09 09:45:39
0
anta.ra2
Anta :
Apa kabar dengan tanaman kangkung ponakan gw yang dibabad habis sama tetangga dan itu nenek",dan gong nya lagi tu kangkung buat dijual lagi ke orang... tapi ponakan gw gak mempermasalahkan itung" bantu karna mungkin dia butuh uang untuk bertahan hidup😭 tega bgt yg ngelaporin ke penjara😭😭
2026-11-09 03:59:17
12
ic.keyl_aprilio
IC: Keyl_Aprilio :
mencuri tidak di benarkan ya,tapi emng hukum nya terlalu berat, kenapa yang punya kayu ga ngomong baik suruh si ibuk nyari kayu ajh terus balikin yang đi curi atu kasih dendam yang tidak terlalu memberatkan ibu nya
2026-11-09 05:28:30
6
triandayan3
🥰ARMY 2013❤️ HYUNG❤️PJ❤️ :
Itu hanya seorang nenek untuk mencari sesuap nasi,ya Allohhhh dimana hati nurani yg melaporkan tega banget kasian ya Allohhhh😭😭😭😭
2026-11-09 08:09:29
0
parpet1234
#kamu# #nanya# :
maaf bang gua kecoplosan di komen nya
2026-11-09 09:36:20
0
rmdnan_
n@n :
negara ini udah rusak yang mana, yang salah di lindungi, yang tidak salah di fitnah
2026-11-09 14:41:19
0
cepmihar
Cep Mihar :
2026-11-09 15:43:01
0
rmdnan_
n@n :
kita suka menuntut ke adilan tapi kek rasanya gila di dunia ini ntar nuntut ke adli paling bntar lagi udah ilang
2026-11-09 14:37:29
0
1pu1_18
ᴅᴀᴇɴɢʙᴇᴄᴋ! :
se bodoh itu ka pikiran negara kita🙂
2026-11-09 11:50:25
0
cuamaaaa
shafarina :
sedih
2026-11-09 03:49:41
0
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➡️ Quantitative Finance from Scratch, part 45: Statistical Arbitrage.  The arbitrage from the last part was a profit without any risk. Statistical arbitrage is the practical version: many small bets that can each lose, but win on average. One of the best known and simplest forms is pairs trading: two stocks in the same business that move together. The gap between them, the spread = P_A − β · P_B (P_A price of stock A, P_B price of stock B, β the hedge ratio), keeps coming back to its average. That is the edge: the trade treats this return almost like a law, so the further the spread moves away, the more it should come back, and that way back is the profit. The rule: z = (spread − average) / standard deviation. When z reaches +2 or −2, you sell the expensive stock, buy the cheap one, and close both when the gap is back at its average. Because one stock is long and the other short, a move of the whole market mostly cancels out. News about one company can still hit a single pair, so funds make many such trades at once, and the surprises average out. The big risks: the link between two stocks can break for good, for example after a merger, and when many funds hold the same trades, they can all lose at once. The code (statarb_reel.py, 16 lines of plain Python without packages) is general on purpose: the spread from two prices and the hedge ratio, the z score, and the signal that sells the expensive stock and buys the cheap one at two standard deviations and closes at the average. If you want to go deeper, the link to my website is in my bio. #quantfinance #statisticalarbitrage #pairstrading #meanreversion #python Education only, not financial advice.
➡️ Quantitative Finance from Scratch, part 45: Statistical Arbitrage. The arbitrage from the last part was a profit without any risk. Statistical arbitrage is the practical version: many small bets that can each lose, but win on average. One of the best known and simplest forms is pairs trading: two stocks in the same business that move together. The gap between them, the spread = P_A − β · P_B (P_A price of stock A, P_B price of stock B, β the hedge ratio), keeps coming back to its average. That is the edge: the trade treats this return almost like a law, so the further the spread moves away, the more it should come back, and that way back is the profit. The rule: z = (spread − average) / standard deviation. When z reaches +2 or −2, you sell the expensive stock, buy the cheap one, and close both when the gap is back at its average. Because one stock is long and the other short, a move of the whole market mostly cancels out. News about one company can still hit a single pair, so funds make many such trades at once, and the surprises average out. The big risks: the link between two stocks can break for good, for example after a merger, and when many funds hold the same trades, they can all lose at once. The code (statarb_reel.py, 16 lines of plain Python without packages) is general on purpose: the spread from two prices and the hedge ratio, the z score, and the signal that sells the expensive stock and buys the cheap one at two standard deviations and closes at the average. If you want to go deeper, the link to my website is in my bio. #quantfinance #statisticalarbitrage #pairstrading #meanreversion #python Education only, not financial advice.

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