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All Journal Statistika Proceedings of Annual International Conference Syiah Kuala University - Social Sciences Chapter GRADIEN Jurnal EMT KITA Jurnal Natural
Nany Salwa
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Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Energy Immunology & microbiology Industrial & Manufacturing Engineering Mathematics Neuroscience Physics

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Faktor-Faktor Yang Mempengaruhi Waktu Penyusunan Tugas Akhir Mahasiswa S1 (Studi Kasus: Mahasiswa FMIPA Unsyiah) Salwa, Nany
GRADIEN : Jurnal Ilmiah MIPA Vol 10, No 2 (2014): Juli 2014
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (592.503 KB)

Abstract

Tugas akhir (TA) merupakan salah satu mata kuliah yang wajib diselesaikan oleh setiap mahasiswa untuk menyandang gelar sarjana. Penelitian ini bertujuan melihat faktor -faktor yang berpengaruh terhadap lamanya penyusunan tugas akhir mahasiswa Fakultas MIPA Unsyiah. Data yang digunakan dalam penelitian ini adalah data primer yaitu dengan cara menyebarkan kuisioner kepada responden secara langsung dan dikirim melalui email. Data tersebut kemudian dibangkitkan dengan menggandakan data berjumlah 6 kali data aslinya, 9 kali data aslinya dan 20 kali data aslinya untuk memudahkan dalam menginterpretasikan data. Responden pada penelitian ini adalah mahasiswa lulusan FMIPA Unsyiah jurusan  Matematika, Fisika, Kimia, dan Biologi  dari angkatan 2004 sampai dengan 2008. Analisis yang digunakan adalah metode CHAID (Chi-Square Automatic Interaction Detection). Hasil dari analisis CHAID pada data 312 diprediksikan bahawa faktor-faktor yang mempengaruhi lama penyusunan tugas akhir adalah bahan penelitian, mata kuliah dan aktifitas selain mengerjakan tugas akhir. Pada data 468 diprediksikan bahwa faktor-faktor yang mempengaruhi lama penyusunan tugas akhir adalah bahan penelitian, mata kuliah, aktifitas selain mengerjakan tugas akhir, dan motivasi. Dan pada data 1040 diprediksikan bahwa faktor-faktor yang mempengaruhi lama penyusunan tugas akhir adalah bahan penelitian, kesehatan, ide penelitian, motivasi, dan aktifitas selain mengerjakan tugas akhir. Jadi, dapat disimpulkan bahwa prediksi faktor yang paling signifikan yang mempengaruhi lamanya penyusunan tugas akhir adalah bahan penelitian yang digunakan sebagai referensi oleh mahasiswa.
Analisis Diskriminan dalam Menentukan Fungsi Pengelompokan Kabupaten/Kota di Indonesia berdasarkan Indikator Indeks Pembangunan Manusia Nurhasanah, Nurhasanah; Salwa, Nany; Ornila, Lyra; AR, Fitriana; Hasan, Amiruddin
Jurnal EMT KITA Vol 5, No 1 (2021): Journal EMT KITA
Publisher : Lembaga KITA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/emt.v5i1.320

Abstract

The Human Development Index (HDI) is a measure used to measure the success of human development in an area. There are several indicators used to compile the HDI value. Previously, regencies/cities were grouped based on the HDI indicator. The grouping is done using K-means cluster analysis with 4 categories, namely regencies/cities that have low, medium, high, and very high HDI indicator values. From the results of determining the category of the HDI indicator in an area, we need a function that can be used to classify an object into one of the HDI indicator value categories. The compilation of the classification function is carried out using discriminant analysis. The results obtained from the discriminant analysis are that there are 10 variables or indicators that fall into the discriminant function. The resulting discriminant function is quite good in classifying each group with a success rate of more than 85% and the discriminant function is supported by a fairly good validation success rate, namely with a classification accuracy of 93.20%.
Clustering Regency/City in Indonesia based on Human Development Index Indicators Nurhasanah Nurhasanah; Nany Salwa; Lyra Ornila
Proceedings of AICS - Social Sciences Vol 7 (2017): 7th AIC in conjuction ICMR 2017 Universitas Syiah Kuala October 2017
Publisher : Proceedings of AICS - Social Sciences

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Abstract

Human Development Index (HDI) is an index that measures the success rate of human development in a region. Development undertaken by the government aims to create a prosperous and peaceful society. The problems that often arise in the development process are the uneven development in every regency/city in Indonesia. This can be seen from the value of HDI is still different in each regency/city in Indonesia. The purpose of this study is to categorize regency/cities in Indonesia based on indicators of HDI. The clustering method is K-means cluster analysis. The data used is the data indicator HDI Indonesia 2015 obtained from BPS website every province. The results of the analysis formed 4 clusters. The first cluster consisted of 20 regency with average HDI indicator is very low, the second cluster consisted of 148 regency/city with average HDI indicator is medium, the third cluster consisted of 88 regency/city with average HDI indicator is very high, and the fourth cluster consists of 258 regency/city with HDI indicators is very high.
Factors Affecting the Migration Decision of Tsunami Survivors from the Relocation Area Saiful Mahdi; Nany Salwa; Cut Mardiana
Proceedings of AICS - Social Sciences Vol 7 (2017): 7th AIC in conjuction ICMR 2017 Universitas Syiah Kuala October 2017
Publisher : Proceedings of AICS - Social Sciences

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Abstract

The government has undertaken a relocation program to address the housing problems caused by the earthquake and tsunami of December 26, 2004 in Aceh. However, the relocation of tsunami survivors also caused other impacts after the relocation was carried out. If the relocation site is not as desirable, it can cause tsunami survivors to decide to out-migrate the relocation area. This study was conducted to determine factors that significantly affect the decision of migration of tsunami survivors from the relocation area. This research is expected to provide information on post-disaster relocation for consideration in making relocation policy in the future. We use classification tree, which is part of the CART (Classification and Regression Trees) method. The data used is from The Aftermaid of Aid (AoA) survey conducted by International Center for Aceh and Indian Ocean Studies (ICAIOS) and Earth Observatory of Singapore (EOS) during 2014-2015. The results of the research indicate the factors that significantly affect the migration decision of tsunami survivors from a relocation area are gender, age, and job before relocation, total assets, and the distance of relocation house to central market, house modification, and concerns about possible of future tsunami. Most affecting factor of migration decision, however, is the distance of relocation house to the central market, confirming the impact of sosio-economic factor of post-disaster relocation. The optimal classification tree obtained has a classification accuracy rate of 85, 64%.
Analisa Data Kemiskinan di Provinsi Aceh Menggunakan Model Efek Tetap Nany Salwa; Nurhasanah Nurhasanah; Cut Atria Siska
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 16, No 1 (2016)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jstat.v16i1.2276

Abstract

Penelitian ini menganalisa mengenai kemiskinan di provinsi Aceh dengan menggunakan lima variabelyang mempengaruhi kemiskinan, yaitu angka buta huruf, pertumbuhan ekonomi, tingkatpengangguran terbuka, tingkat partisipasi angkatan kerja, dan angka harapan hidup. Penelitian inimenggunakan pendekatan data panel, yaitu gabungan dari data times series dan data cross section.Analisa data kemiskinan dengan menggunakan Model efek tetap. Dalam mengestimasi parametermodel efek tetap dilakukan dengan menggunakan OLS melalui penambahan variabel dummy yangdisebut dengan least square dummy variable. Dalam penelitian ini, model diterapkan terhadap dataangka kemiskinan di provinsi Aceh selama 5 tahun berturut-turut dari tahun 2007 sampai dengan2011. Model efek tetap menghasilkan 23 model untuk tiap-tiap kabupaten/kota. Model tersebutmenghasilkan 3 variabel independen yang berpengaruh positif yaitu angka buta huruf, pertumbuhanekonomi, dan tingkat pengangguran terbuka serta 2 variabel independen lainnya yang berpengaruhnegatif terhadap angka kemiskinan di provinsi Aceh yaitu tingkat partisipasi angkatan kerja danangka harapan hidup.
Hubungan Indeks Prestasi Kumulatif (IPK) dengan Nilai Ujian Akhir Nasional (UAN) (Studi Kasus di FMIPA Unsyiah) Ridha Ferdhiana; Ira Julita; Asep Rusyana; Nany Salwa
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 15, No 1 (2015)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jstat.v15i1.1361

Abstract

Kemendikbudnas melemparkan wacana untuk menghilangkan ujian SNMPTN tulis dan menggantikannya dengan model undangan berbasiskan hasil nilai Ujian Nasional (UN). Jika kebijakan ini dilaksanakan maka mahasiswa yang belajar di FMIPA akan mendapatkan keuntungan karena mata pelajaran yang diujikan dalam UN merupakan mata kuliah yang akan dipelajari saat kuliah. Hal ini tentu menarik untuk dipelajari, apakah nilai UN dan keterangna lain yang terdapat dalam Surat Keterangan Hasil Ujian. Sebanyak 263 data nilai IPK dan nilai UN darimahasiswa FMIPA Unsyiah angkatan 2008 sampai 2010 berhasil dikumpulkan. Pengujian korelasi menunjukkan bahwa IPK berkorelasi positif dengan setiap nilai mata pelajaran UN. Namun, jika semua faktor UN dipakai secara simultan untuk melihat hubungannya dengan IPK, didapatkan bahwa faktor determinsainya cukup kecil, antara 29,9% sampai 58,1%. Faktor yang paling berpengaruh terhadap IPK mahasiswa FMIPA Unsyiah adalah nilai Bahasa Indonesia dan Asal Kabupaten.
PENENTUAN KARAKTERISTIK PARIWISATA DAN MODEL JUMLAH WISATAWAN UNTUK KABUPATEN/KOTA DI PROVINSI ACEH Nurhasanah Nurhasanah; Nany Salwa; Nelva Amelia
Jurnal Natural Volume 16, Number 1, March 2016
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (566.71 KB) | DOI: 10.24815/jn.v16i1.4805

Abstract

Tourism is one of the primary sectors that is expected to increase the regional government income. Therefore there is a need to observe the factors that affect the successfulness of tourism factors and products offered. Tourism products can be tourist destinations, where the characteristics of that particular destination can affect the decisions made by the tourist to return the place again. The characteristics of tourism in Aceh can be analyzed by using biplot analysis. Meanwhile, the effects of tourism characteristics on the number of tourists in Aceh from the year 2008 until 2013 is analyzed using panel data regression analysis that is approached by Fixed Effext Model (FEM). Based on the biplot graph, the cities that are superior in their number of all tourism products are Sabang and Banda Aceh. Cities other than these two cities tend to have a lower number of their tourism products. The biplot graph can explain the relationship between the variables of tourism products by 83.8%. Based on the model of fixed effect panel data, Aceh tourism products that affect the number of tourists in Aceh is the number of accommodations, restaurants, and tourist attractions. Fixed effect model explain correlation between the variables of tourism products to the number of tourists in Aceh by 78.8%.
Co-Authors Asep Rusyana Cut Atria Siska Cut Mardiana Fitriana AR Hasan, Amiruddin I Ketut Sudiana Ira Julita Lyra Ornila Nelva Amelia Nurhasanah Nurhasanah Nurhasanah Nurhasanah Nurhasanah Nurhasanah Ornila, Lyra Ridha Ferdhiana Saiful Mahdi