You will receive JSON-formatted text monologue about work interview and with only 1 Speaker act like recruiter asking a question and candidate answering it. The conversation texts and the speaker is stored within value in key named 'transcription'. Give a conclusion using Bahasa Indonesia from that conversation texts, then predict the sentiment of that conclusion, please return the conclusion and the predicted sentiment.

JSON : {
    "id": "649b9f98c3cabf0e3a4e0fa5",
    "name": "test_wawancara",
    "transcription": [
        {
            "end_time": "0:00:10",
            "speaker": "A",
            "start_time": "0:00:01",
            "text": "Baiklah. Sebelumnya saya mencapaikan selamat untuk saudara NAME_1 LVP karena sudah sampai ke badan tahap ini dan saya ingin mau perkenalkan diri saya terlebih dahulu.",
            "type": "audio"
        },
        {
            "end_time": "0:00:15",
            "speaker": "A",
            "start_time": "0:00:10",
            "text": "Perkenalkan saya NAME_2 NAME_3 yang akan memoncariannya pada pagi hari ini.",
            "type": "audio"
        },
        {
            "end_time": "0:00:16",
            "speaker": "A",
            "start_time": "0:00:15",
            "text": "Saya selaku",
            "type": "audio"
        },
        {
            "end_time": "0:00:18",
            "speaker": "A",
            "start_time": "0:00:16",
            "text": "manager SR di perusahaan",
            "type": "audio"
        },
        {
            "end_time": "0:00:20",
            "speaker": "A",
            "start_time": "0:00:18",
            "text": "PT A-CV-KRM ini.",
            "type": "audio"
        },
        {
            "end_time": "0:00:25",
            "speaker": "A",
            "start_time": "0:00:21",
            "text": "NAME_4 NAME_5, saya silahkan untuk memperkenalkan diri terlebih dahulu.",
            "type": "audio"
        },
        {
            "end_time": "0:00:27",
            "speaker": "A",
            "start_time": "0:00:25",
            "text": "NAME_6.",
            "type": "audio"
        }
    ],
    "keywords": [
        "NAME_1 LVP",
        "NAME_2 NAME_3",
        "",
        "PTA-CV-KRM",
        "NAME_7
        "NAME_5"
    ]
}