Strategi Lembaga Amil ZIS Muhammadiyah dalam Mencadapatkan Kepercayaan Muzakki
Bibliographic record
Abstract
Penelitian ini bertujuan untuk mengetahui perencanaan, kebijakan dan strategi yang digunakan Lembaga Amil Zakat Infaq dan Shadaqah Muhammadiyah (LAZISMU) Cabang Cibiuk dalam upaya mendapatkan kepercayaan muzakki. Dalam rangka menjawab permasalahan sebagai berikut: bagaimana penyusunan perencanaan, penetapan kebijakan yang dijadikan garis pedoman dan bagaimana strategi yang dirancang oleh Lembaga Amil Zakat Infaq dan Shadaqah Muhammadiyah Cibiuk dalam mendapatkan kepercayaan muzakki. Penelitian ini menggunakan metode deskriptif dengan teknik pengumpulan data dihimpun melalui teknik observasi, wawancara, studi dokumentasi, analisis data dan penyimpulan. Penelitian ini menunjukkan bahwa strategi Lembaga Amil Zakat Infaq dan Shadaqah Muhammadiyah (LAZISMU) Cabang Cibiuk dalam mendapatkan kepercayaan muzakki atau donatur secara garis besar 1) Perencanaan ZIS yang direncanakan bisa berhasil dengan baik dari pengumpulan, pengelolaan dan pendistribusian yang telah direncanakan melalui program LAZISMU, 2) Penetapan kebijakan yaitu pembentukan kordinator penghimpun zakat di setiap Ranting, penerbitan surat keputusan 40% hak cabang dan 60% hak ranting, serta mewajibkan setiap anggota organisasi membayar zakat ke LAZISMU dapat terealisasi, 3) Strategi di Lembaga Amil Zakat Infaq dan Shadaqah Muhammadiyah adalah realized strategic (strategi yang direalisasikan). menjalankan 8 strategi yang direalisasikan dari 13 strategi yang dikehendaki melalui programnya.
 
 This study aims to determine the planning, policies and strategies used by the Cibiuk Branch Amada Zakat Infaq and Shadaqah Muhammadiyah (LAZISMU) in an effort to get the muzakki trust. In order to answer the problem as follow: how to plan, determine policies that are used as guidelines and how the strategy designed by the Amil Zakat Infaq and Shadaqah Muhammadiyah Cibiuk in obtaining muzakki trust. This research uses descriptive method with data collection techniques collected through observation, interview, documentation study, data analysis and conclusion techniques. This study shows that the strategy of the Cibiuk Branch of the Zakat Infaq Amil and Shadaqah Muhammadiyah institute (LAZISMU) in gaining the trust of muzakki or donors in general 1) The planned ZIS planning can succeed well from the collection, management and distribution planned through the LAZISMU program, 2) Determination of policies, namely the establishment of zakat collecting coordinators in each branch, issuance of 40% branch rights and 60% branching rights, and requiring every organization member to pay zakat to LAZISMU to be realized strategic. 3) Run 8 strategies realized from the 13 strategies desired through the program.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.005 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".