BAB V
ANALISISLS DATA DALAM PENELITIAN
KUALITATIF
Setelah
Mahasiswa mengikuti perkuliahan diharapkan mampu :
1. Menjelaskan pengertian Analisis Data menurut para ahli
2. Mengklasifikasikan Model Analisis Data Dalam Penelitian
Kualitatif
3. Menggambarkan Langkah Analisis Data Dalam Penelitian
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A. ANALISIS DATA
Dalam penilaian kualitatif, data dapat diperoleh
dari berbagai sumber dengan menggunakan teknik pengumpulan data yang
bermacam-macam (triangulasi), dan dilakukan secara terus menerus sampai datanya
jenuh. Dengan pengamatan yang terus menerus tersebut mengakibatkan variasi data
tinggi sekali. Data yang diperoleh pada umumnya adalah data kualitatif
(walaupun tidak menolak data kuantitatif), sehingga teknik analisis data yang
digunakan belum ada polanya yang jelas. Oleh karena itu sering mengalami
kesulitan dalam melakukan analisis. Seperti yang dinyatakan oleh beberapa pakar
seperti:
a. Miles
and Huberman (1984) bahwa yang paling serius dan sulit dalam analisis
kualitatif adalah karena metode analisis belum dirumuskan dengan baik.
b. Susan
Stainback menyatakan: belum ada panduan dalam penelitian kualitataif untuk
mendukung kesimpulan atau teori.
c. Nasution
menyatakan bahwa: melakukan analisis adalah pekerjaan yang sulit, memerlukan
kerja keras. Analisis memerlukan daya kreatif serta kemampuan intelektual yang
tinggi. Tidak ada cara tertentu yang dapat diikuti untuk menganalisis, sehingga
setiap peneliti harus mencari sendiri metode yang dirasakan yang cocok dengan
sifat penelitiannya. Bahan yang sama bisa diklasifikasikan lain oleh peneliti
yang berbeda.
d. Bogdan
menyatakan bahwa analisis data adalah proses mencari dan menyusun secara
sistematis data yang diperoleh dari hasil wawancara, catatan lapangan, dan
bahan-bahan lain sehingga dapat mudah dipahami dan temuannya dapat
diinformasikan kepada orang lain. Analisis data dapat dilakukan dengan
mengorganisasikan data, memilih mana yang penting dan yang akan dipelajari
serta membuat kesimpulan yang akan diceritakan kepada orang lain.
e. Spradley
(1980) menyatakan bahwa analisis dalam penelitian jenis apapun, adalah
merupakan cara berfikir. Hal itu berkaitan dengan pengujian secara sistematis
terhadap sesuatu untuk menetukan bagian, hubungan antar, dan hubungannya dengan
keseluruhan. Analisi adalah untuk mencari pola.
Berdasarkan hal tersebut di atas dapat dikemukakan
disini bahwa, analisis data adalah proses mencari dan menyusun secara
sistematis data yang diperoleh dari hasil wawancara, catatan lapangan dan
dokumentasi dengan cara mengorganisasikan data kedalam kategori, menjabarkan
kedalam unit-unit, melakuakan sintesa
dipelajari dan membuat kesimpulan sehingga mudah dipahami oleh diri sendiri maupun
orang lain.
Analisis data
kualitatif adalah bersifat induktif, yaitu suatu analisis berdasarkan data yang
diperoleh, selanjutnya dikembangkan pola hubungan tertentu atau menjadi
hipotesis. Berdasarkan hipotesis yang dirumuskan berdasarkan data tersebut,
selanjutnya dicariakn data lagi secara berulang-ulang sehingga selanjutnya
dapat disimpulkan apakah hipotesis tersebut diterima atau ditolak berdasarkan
data yang terkumpul. Bila berdasarkan data yang dikumpulkan secara
berulang-ulang dengan teknik triangulasi, ternyata hipotesis diterima, maka
hipotesis tersebut berkembang menjadi teori.
B.
MODEL
ANALISIS DATA DALAM PENELITIAN KUALITATIF
Analisis data dalam penelitian kualitatif dilakukan
sejak sebelum memasuki lapangan, selama dilapangan, dan setelah selesai dilapangan.
Dalam hal ini Nasution (1988) menyatakan ”Analisis telah mulai sejak merumuskan
dan menjelaskan masalah, sebelum terjun kelapangan dan berlangsung terus sampai
penulisan hasil penelitian. Analisis data menjadi pegangan bagi penelitian
selanjutnya sampai jika mungkin, teori grounded”.
Namun dalam penelitian kualitatif, analisis data lebih difokuskan selama proses
dilapangan bersamaan dengan pengumpulan data .
1.
Analisis
Sebelum di Lapangan
Penelitian kualitatif telah melakukan analisis data
sebelum peneliti memasuki lapangan. Analisis dilakukan terhadap data hasil
studi pendahuluan atau data skunder, yang akan digunakan untuk menentukan fokus
penelitian. Namun demikian fokus penelitian ini masih bersifat sementara, dan
akan berkembang setelah peneliti masuk dan selama dilapangan.
Jadi ibarat seseorang ingin mencari pohon jati
disuatu hutan. Berdasarkan karakteristik tanah dan iklim, maka dapat diduga
bahwa hutan tersebut ada pohon jatinya. Oleh karena itu peneliti dalam membuat
proposal penelitian, fokusnya adalah ingin menemukan pohon jati pada hutan
tersebut, berikut karakteristiknya.
Setelah peneliti masuk ke hutan beberapa lama,
ternyata hutan tersebut tidak ada pohon jatinya. Kalau peneliti kuantitatif
tentu akan membatalkan penelitiannya. Tetapi kalau peneliti kualitatif tidak,
karena fokus penelitian bersifat sementara dan akan berkembang setelah
dilapangan. Bagi peneliti kualitatif, kalau fokus penelitian yang dirumuskan
pada proposal tidak ada dilapangan, maka peneliti akan merubah fokusnya, tidak
lagi mencari kayu jati lagi di hutan, tetapi akan berubah dan mungkin setelah
masuk hutan tidak lagi tertarik pada kayu jati tetapi beralih kepohon-pohon
yang lain, bahkan juga mengamati binatang yang ada dihutan tersebut.
2.
Analisis
Selama di Lapangan Model Miles and Huberman
Analisis data dalam penelitian kualitatif, dilakukan
pada saat pengumpulan data berlangsung, dan setelah selesai pengumpulan data
dalam periode tertentu. Pada saat wawancara peneliti sudah melakukan analisis
terhadap jawaban yang diwawancarai. Bila jawaban yang diwawancarai setelah
dianalisis terasa belum memuaskan, maka peneliti akan melanjutkan pertanyaannya
lagi sampai tahap tertentu, diperoleh data yang dianggap kredibel. Miles and
Huberman (2984) mengemukakan bahwa aktivitas dalam analisis data kualitatif
dilakukan secara interaktif dan berlangsung secara terus menerus sampai jenuh.
Aktifitas dalam analisis data, yaitu data
reduction, data display dan conclusion
drawing/ferification.
a. Data reduction
(reduksi data)
Data yang diperoleh di lapangan jumlahnya cukup
banyak, untuk itu perlu dicatat secara teliti dan rinci. Seperti telah
dikemukakan makin lama peneliti di lapangan, maka jumlah data akan makinbanyak,
kompleks dan rumit. Untukn itu perlu segers dilakuakan analissi data melalui
reduksi data. Mereduksi data berarti merangkum , memilih hal-hal yang pokok,
memfokuskan pada hal- hal yang penting, dicari tema dan polanya dan memebuang
yang tidak perlu. Dengan demikian data yang telah direduksi akan memberikan
gambaran yang lebih jelas, dan memepermudah peneliti untuk melakuakan
pengumpulan data selanjutnya, dan mencarinyan bila diperlukan. Reduksi data
dapat dibantu dengan peralatan elektronik seperti computer mini, dengan
memberikan kode-kode pada aspek- aspek tertentu.
Dalam suatu situasi social tertentu, peneliti dalam
mereduksi data mungkin akan memfokuskan pada murid dari keluarga orang tua
miskin, pekerjaan sehari- hari yang dikerjakan, dan rumah tinggalnya. dalam
bidang manajemen, dalam mereduksi data mungkin peneliti akan memfokuskan pada
bidang pengawasan, dengan melihat perilaku orang-orang yang menjadi pengawas,
tempat kerja, antara pengawas dengan yang diawasi serta hasil pengawasan.
Dalam mereduksi, data setiap peneliti akan dipandu
oleh tujuan yang dicapai. Tujuan utama dalam penelitian kulitatif adalah pada
temuan. Oleh karena itu, kalau peneliti dalam melakukan penelitian, menemukan
segala sesuatu yang dipandang asing, tidak dikenal, belum memiliki, justru
itulah yang harus dijadikan perhatian peneliti dalam melakukan reduksi data.
Ibarat melakuakn penelitian di hutang maka pohon- pohon atau tumbuh- tumbuhan
dan binatang- binatang yang belum dikenal selama ini, justru dijadikan focus
untuk pengamatan selanjutnya.
Reduksi data merupakan proses berfikir sensitive
yang memerlukan kecerdasan dan keluasan serta kedalaman wawasan yang tinggi.
Bagi peneliti yang baru, dalam melakukan reduksi data dapat mediskusikan pada
teman atau orang lain yang dipandang ahli. Melalui diskusi itu, maka wawasan
peneliti akan berkembang sehingga dapat merediksi data-data yang memiliki nilai
temuan dan pengembangan teori yang segnifikan.
b. Data display (penyajian
data)
Setelah data reduksi, maka langkah
selanjutnya adalh mendisplaykan data. Kalau dalam penelitian kuantitatif
penyajian data ini dapat dilakuakan dalam bentuk table, grafik, pictogram dan
sejenisnya. Melalui penyajian data tersebut, maka data terorganisasikan,
tersususn dalam pola hubungan, sehingga akan semakin mudah dipahami.
Dalam penelitian kualitatif, penyajian
data bisa dilakukan dalam bentuk uraian singkat, bagan, hubungan antar kategori
dan sejenisnya. Dalam hal ini Miles and Huberman(1984) menyatakan yang paling
sering digunakan untuk menyajikan data dalam penelitian kualitatif adalah
dengan teks yang bersifat naratif.
Dengan mendisplaykan data maka akan
memedahkan untuk memahami apa yang terjadi, merencanakan kerja selanjutnya
berdasarkan apa yang telah dipahami tersebut. Miles and Huberman(1984).
Selanjutkan disarangkan, dalam melakukan dispalay data, selain dengan teks yang
naratif, juga dapat berupa grafik, matrik, network
dan chart. Untuk mengecek apakah
peneliti telah memahami apa yang didisplaykan, maka perlu dijawab pertayaan
berikut, apakah anda tahu apa isi yang didisplaykan.
c.
Conclusion
Drawing/verification
Langkah ketiga dalam analisis data kulitatif menurut
Miles and Huberman adalah penarikan kesimpulan dan verifikasi. Kesimpulan awal
yang dikemukakan masih bersifat sementara, dan berubah bila tidak ditemukan
bukti-bukti yang kuat yang mendukung pada tahap pengumpulan data berikutnya.
Tetapi apabila data kesimpulan data yang dikemukakan pada tahap awal, didukung
oleh kembali bukti-bukti yang valid dan konsisten saat peneliti kembali
kelapangan mengumpulkan data, maka kesimpulan yang dikemukakan merupakan
kesimpulan yang kredibel.
Dengan demikian kesimpulan dalam penelitian kualitatif mungkin dapat menjawab rumusan
masalah yang dirumuskan sejak awal, tetapi mungkin juga tidak, karena seperti
telah dikemukakan bahwa masalah dan rumusan masalah dalam penelitian kualitatif
masih bersifat sementara dan akan berkembang setelah penelitian berada
dilapangan.
Kesimpulan dalam penelitian kualitatif yang
diharapkan adalah merupakan temuan baru yang sebelumnya belum pernah ada.
Temuan dapat berupa diskripsi atau gambaran suatu obyek yang sebelumnya masih
remang-remang atau gelap sehingga setelah diteliti menjadi jelas, dapat berupa
hubungan kasual atau interaktif, hipotesis atau teori.
3.
Analisis
Data Selama di Lapangan Model Spradley
Spradley (1980) membagi analisis data dalam
penelitian, berdasarkan tahapan dalam penelitian kualitatif. Tahapan penelitian
kualitatif menurut Spradley bahwa proses penelitian kualitatif setelah memesuki
lapangan,dimulai dengan menetapkan seseorang informan kunci “key informant”yang merupakan informan
yang berwibawa dan dipercaya mampu “membukakan pintu” kepada peneliti untuk
memasuki obyek penelitian. Setelah itu
peneliti melakukan wawancara kepada informan tersebut dan mencatat hasil
wawancara. Selanjutnya perhatian peneliti pada obyek penelitian dan memulai mengajukan
pertanyaan deskriptif, dilanjutkan dengan analisis terhadap hasil wawancara.
Berdasarkan hasil dari analisis wawancara selanjutnya peneliti melakukan
analisis domain. Pada langkah ketujuh peneliti sudah menentukan fokus dan
melakukan analisis taksonomi. Berdasarkan hasil analisi taksonomi, selanjutnya
peneliti mengajukan pertanyaan kontras, yang dilanjutkan dengan analisis
komponensial. Hasil dari analisis komponensial, selanjutnya peneliti menemukan
tema-tema budaya. Berdasarkan temuan tersebut, selanjutnya peneliti menuliskan
laporan penelitian emografi.
Jadi proses penelitian berangkat dari yang luas,
kemudian memfokus, dan meluas lagi. Terdapat tahapan analisis data yang
dilakukan dalam penelitian kualitatif yaitu analis domain, taksonomi dan komponensial,
anlisis tema cultural.
a. Analisis
Domain
Setelah peneliti memasuki obyek penelitian yang
berupa situasi sosial yang terdiri atas place,
actor, dan avtivity (PPA),
selanjutnya melaksakan observasi partisipan, mencatat hasil observasi dan
wawancara, melakukan observasi deskriptif, maka langkah selanjutnya melakukan analisis domain. Adapun macam
analisis data kualitatif (Spradley, 1980) dapat dilihat pada bagan dibawah ini.
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" width="626">
Gambar 1.a Macam analisis data kualitatif (Spridlay,
1980)
Analisis domain
merupakan langkah pertama dalam penelitian kualitatif. Lanhkah selanjutnya
adalah analisis taksonomi yang aktivitasnya adalah mencari bagaimana domain
yang dipilih itu dijabarkan menjadi lebih rinci. Selanjutnya analisis
komponensial aktivitasnya adalah mencari perbedaan yang spesifik setiap rincian
yang dihasilkan dari analisis taksonomi. Yang terakhir adalah analisis tema,
yang aktifitasnya adalah mencari hubungan dianatara domain, dan bagaimana
hubungannya dengan keseluruhan, selanjutnya dirumuskan dalam suatu tema atau
judul penelitian.
Analisis domain pada
umumnya dilakuakan untuk memperoleh gambaran yang umum dan menyeluruh tentang
situasi social yang diteliti atau obyek penelitian. Data diperoleh dari grand tour dan minitour question. Hasilnya berupa gambaran umum tentang obyek yang
diteliti, yang sebelumnya belum pernah diketahui. Dalam analisis ini informasi
yang diperoleh belum mendalam, masih dipermukaan, namun sudah menentukan
domain-domain atau kategori dari situasi social yang diteliti.
b. Analisis
Taksonomi
Setelah peneliti melakukan analisis domain, sehingga
ditemukan domain-domain atau kategori dari situasi social tertentu, maka
selanjutnya ditetapkan sebagai fokus penelitian, perlu diperdalam lagi melalui
pengumpulan data di lapangan. Pengumpulan data dilakukan secara terus mensrus
melalui pangamatan, wawancara mendalam dan dokumentasi sehingga data yang
terkumpul menjadi banyak. Oleh karena itu pada tahap ini diperlukan analisis
lagiyang disebut dengan analisis taksonomi.
Jadi
analisis taksonomi adalah analisis terhadap keseluruhan data yang terkumpul
berdasarkan domain yang telah ditetapkan. Dengan demikian domain yang telah
ditetapkan menjadi cover term oleh
peneliti dapat diurai secara lebih rinci dan mendalam melalui analisis
taksonomi ini. Hasil analisis taksonomi dapat disajikan dalam bentuk diagram
kotak, diagram garis dan simpul dan out line. Berikut adalah contoh diagram yg
biasa digunakan dalam analisis taksonomi.
Gambar
1.c diagram garis dan simpul
c. Analisis
Komponensial.
Dalam analisis taksonomi, yang diurai adalah domain
yang telah ditetapkan menjadi focus. Melalui analisis taksonomi, setiap domain
dicari elemen yang serupa atau serumpun. Ini diperoleh melalui observasi dan
wawancara serta dokumentasi yang terfokus.
Pada analisis komponensial, yang dicari untuk
diorganisasikan dalam domain bukanlah keserupaan dalam domain, tetapi justru
yang memiliki perbedaan atau yang kontras. Data ini dicari melalui observasi,
wawancara dan dokumentasi yang terseleksi. Dengan teknik pengumpulan data yang
bersifat triangulasi teresbut, sejumlah demensi yang spesifik dan berbeda pada
setiap elemen akan dapat ditemukan.
d. Analisis
Tema Budaya
Analisis tema budaya merupakan upaya mencari “benang
merah” yang mengintegrasikan lintas domain yang ada (Sanapiah faisal, 1990).
Dengan ditemukan benang merah dari hasil analisis domain, taksonomi, dan
komponensial tersebut, maka selanjutnya akan dapat tersusun suatu “konstruksi
bangunan” situasi sosial/obyek penelitian yang sebelumnya masih gelap atau
remang-remang, dan setelah dilakukan penelitian maka menjadi lebih terang dan
jelas.
Berdasarkan analisis tema budaya tersebut
selanjutnya dapat disususn judul penelitian baru, apabila judul dalam proposal
berubah setelah peneliti memasuki lapangan.
C.
LANGKAH
ANALISIS DATA DALAM PENELITIAN
Pengumpulan dan analisis data penelitian kualitatif
bersifat interaktif, berlangsung dalam lingkaran yang saling tumpang tindih.
Langkah-langkahnya biasa disebut strategi pengumpulan dan analisis data, teknik
yang digunakan fleksibel, tergantung pada strategi terdahulu yang digunakan dan
data yang telah diperoleh. Secara umum langkah-langkahnya ada kesamaan antara
satu penelitian dengan penelitian lainnya, tetapi didalamnya ada variasi.
Menurut Nana
Sayaodih Sukmadinata (2008) langkah-langkah analisis data dapat dimulai
dari :
1. Perencanaan
Perencanaan meliputi perumusan dan pembatasan
masalah serta serta merumuskan pertanyaan-pertanyaan penelitian yang diarahkan
pada kegiatan pengumpulan data. Kemudian merumuskan situasi penilaian, satuan
dan lokasi yang dipilih serta informan-informan sebagia sumber data. Deskripsi
tersebut merupakan pedoman bagi pemilihan dan penentuan sampel purposive.
2. Memulai
pengumpulan data
Sebelum pengumpulan data dimulai, peneliti berusaha
menciptakan hubungan baik, menumbuhkan kepercayaan serta hubungan yang akrab
dengan individu-individu dan kelompok yang menjadi sumber data. Peneliti
memulai wawancara dengan beberapa informan yang telah dipilih untuk kemudian
dilanjutkan dengan teknik bola salju atau member check. Pengumpulan data
melalui interview dilengkapi dengan data pengamatan dan data dokumen
(triangualasi). Data pada pertemuan pertama belum dicatat, tetapi data pada
pertemuan-pertemuan selanjutnya dicatat, disusun, dikelompokkan secara intensif
kemudian diberi kode agar memudahkan dalam analisis data.
3. Pengumpulan
data dasar
Setelah peneliti berpadu dengan situasi yang
diteliti, pengumpulan data lebih diintensifkan dengan wawancara yang lebih
mendalam, observasi dan pengumpulan dokumen yang lebih intensif. Dalam
pengumpulan data dasar peneliti benar-benar “melihat, mendengarkan, membaca dan
merasakan” apa yang ada dengan penuh perhatian. Sementara pengumpulan data
terus berjalan, analisis data mulai dilakukan, dan keduanya terus dilakukan
berdampingan sampai tidak ditemukan data baru lagi. Deskripsi dan
konseptualisasi diterjemahkan dan dirangkumkan dalam diagram-diagram yang
bersifat integratif. Setelah pola-pola dasar terbentuk, peneliti
mengidentifikasi ide-ide dan fakta-fakta yang membutuhkan penguatan dalam fase
penutup.
4. Pengumpulan
data penutup
Pengumpulan data berakhir setelah peneliti
meninggalkan lokasi penelitian, dan tidak melakukan pengumpulan data lagi.
Batas akhir penelitian tidak bisa ditentukan sebelumnya seperti dalam penelitian
kuantitatif, tetapi dalam proses penelitian sendiri. Akhir masa penelitian
terkait dengan masalah, kedalaman dan kelengkapan data yang diteliti. Peneliti
mengakhiri pengumpulan data setelah mendapatkan semua informasi yang dibutuhkan
atau tidak ditemukan lagi data baru.
5. Melengkapi
Langkah melengkapi merupakan kegiatan menyempurnakan
hasil analisis data dan menyususn cara menyajikannya. Analisis data dimulai
dengan menyusun fakta-fakta hasil temuan lapangan. Kemudian peneliti membuat
diagram-diagram, tabel, gambar-gambar dan bentuk-bentuk pemaduan fakta lainnya.
Hasil analisis data, diagram bagan, tabel dan gambar-gambar tersebut
diinterpretasikan, dikembangkan menjadi proposisi dan prinsip-prinsip.
Dan menurut Suharsimi
Arikunto (2006) langkah-langkah analisis data secara garis besar dapat
meliputi 3 langkah, yaitu persiapan, tabulasi dan penerapan data sesuai dengan
pendekatan penelitian.
Evaluasi
Jawablah
Pertanyaan Di Bawah ini Dengan Benar Dan Tepat!
1.
Jelaskan pengertian Analisis Data
menurut para ahli ?
2.
Klasifikasikanlah Model Analisis Data
Dalam Penelitian Kualitatif ?
3.
Gambarkanlah Langkah Analisis Data Dalam
Penelitian ?
4. Jelaskan apa yang dimaksud dengan data reduction, data display dan conclusion drawing/ferification ?
5.
Identifikasilah 1 contoh analisis data
dalam penelitian kualitatif ?
makasih info nya bagusss.
BalasHapusok. sama-sama. Bukunya udh di print out. kalo mw pesan silahkan komen...
BalasHapusdmn bs dpt bukux kk??
BalasHapusuntuk mahasiswa TP UNM, udh bisa ke perpustakaan jurusan sj, buku udh z setor di ibu faridah..
Hapuskak saya copy yc
BalasHapusyg penting di lampirkan sumburenya
BalasHapusmakasiih yahh,,
BalasHapuskrena ada ini, ga siksa lgi deh ngetikx hehehe :)
Thanks banget Gan ..
BalasHapusmembantu banget Postingan Ente ..
mau nyari teknis analisi data pada penelitian PKP ni
BalasHapussusah bgt!!