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Modul In-Stock Opname (6 Oktober 2025)

Modul Stock Opname v 1.0.1

Tujuan

Mengetahui bahan yang ada di gudang dan jumlah aktualnya

Pembagian Tugas

  • Staff Bahan (2 orang)
    • Tugas: Ambil bahan, dan kembalikan bahan
  • Staff Meja (1 orang)
    • Distribusi bahan di area hitung.
  • Staff Hitung (4 orang)
    • Hitung bahan (unit/timbang), verifikasi label, setor hasil ke Staff Database
  • Staff database (2 orang)
    • Verifikasi label dan data, input hasil ke Dokstokop (google sheets)

Dokumen

  • Dokstokop (Google Sheets)
    • Cara Membuat Dokstokop
  1. Unduh database bahan terbaru. Beri nama “Dokstokop (Tanggal Opname)”
  2. Import ke Google Sheets, bagikan akses edit ke Staff database
  3. Ubah kolom di database menjadi seperti berikut:
    1. Stock diubah menjadi stock_db
  4. Tambahkan kolom berikut
    1. Masuk_ukur
      1. Gunakan input Tick box, kolom warna hijau
      2. Isi: Absensi bahan yang dihitung
    2. Stock_opname
      1. Kolom warna hijau
      2. Isi: Hasil hitung aktual
    3. Transaksi_db
      1. Isi: Hasil hitung kolom (stock_opname) dikurangi kolom (stock_db)
stock_dbmasuk_ukurstock_opnametransaksi_db
1[V]21
20[ ]-20
100[V]80-20

Kolom dokstokop.png#

ContohGambar 1: Tabel kolom stock opname dengan kolom tambahan;

Perlengkapan

Peralatan Utama

  • Laptop (2 unit), internet, listrik
  • Timbangan
    • Akurasi 0.5 gram (kapasitas ≥ 15 kg) 2 unit
  • Penggaris 30 cm (4 unit), jangka sorong (2 unit), gelas ukur 1 liter (2 unit)
  • Alat tulis, kertas, kalkulator
  • Printout NATO Phonetic Alphabet (4 lembar)

APD dan Konsumsi

  • Sarung tangan (7 pasang/hari)
  • Masker (9 unit/hari)
  • Lakban kertas, kain hitam, cutter, gunting
  • Alat tulis, kertas
  • Snack dan makan siang (9 orang)

Layout Area Hitung

  • Bentuk tidak ada batasan. Boleh pakai meja atau di lantai
  • Area hitung wajib memiliki 4 zona berikut:
    • ANTRI HITUNG: bahan baru masuk
    • PROSES HITUNG: bahan sedang dihitung
    • SELESAI HITUNG: bahan selesai dihitung
    • ANTRI KELUAR: bahan menunggu dikembalikan
  • Buat penggaris di tepi area hitung sepanjang 1 meter, dibagi per 50 cm.
  • Meja untuk laptop (2 unit)
  • Kursi (6 unit)

Catatan: Gunakan cat/pylox untuk menandai zona. Zona tidak boleh tumpang tindih

![][image1]

Layout contoh.png

Gambar 2: Contoh Area Hitung yang menggunakan meja. Zona Antri Hitung (A), Proses Hitung (B), Selesai Hitung (C), dan Antri Keluar (D) dibagi membentuk huruf U.
Penggaris sederhana 1 meter (E) diposisikan di lokasi yang mudah dijangkau staff hitung.
Meja tambahan (F) ditaruh untuk menambah area kerja staff hitung. Meja laptop (G) untuk lokasi kerja staff database.

Alur Pergerakan Bahan

  1. Bahan diambil dari rak. Masuk ANTRI HITUNG
  2. Pindah bahan ke PROSES HITUNG (jika ada slot kosong)
  3. Staff Hitung verifikasi label, hitung sesuai metode, setor hasil ke staff database
  4. Bahan ke SELESAI HITUNG, lalu ke ANTRI KELUAR
  5. Staff Bahan kembalikan ke rak

Alur Kerja Staff

Staff Bahan

  1. Ambil bahan yang memiliki Label Warna dari rak
  2. Mengembalikan bahan ke rak

Staff Meja

  1. Taruh barang dari zona Antri Hitung ke Proses Hitung
  2. Taruh barang dari zona Selesai Hitung ke Antri Keluar

Staff Hitung

  1. Verifikasi label ID dengan staff database
  2. Hitung sesuai Label Warna
    1. Kuning: hitung unit
    2. Biru: timbang
  3. Serahkan hasil hitungan ke Staff Database

Staff Database

  1. Verifikasi Label ID (nama, satuan, gramasi)
  2. Centang masuk_ukur
  3. Input hasil ke stock_opname

Tahap akhir Stock Opname

  1. Staff Bahan dan Hitung: bersihkan area dan kembalikan alat
  2. Staff Database
    1. Cek kesalahan input (centang masuk_ukur, titik/koma)
    2. Matikan akses edit dokumen
    3. Ganti nama Dokstokop dengan tambahan “Final” pada judul
    4. Duplikat dokumen, kirim ke Divisi Database

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