cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Yulianti Rusdiana
Contact Email
dosen00868@unpam.ac.id
Phone
085733231394
Journal Mail Official
dosen00868@unpam.ac.id
Editorial Address
Program Studi Matematika Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Pamulang Gedung unpam III lantai 7 Jl. Raya Puspiptek, Buaran, Kec. Pamulang, Kota Tangerang Selatan, Banten 15310
Location
Kota tangerang selatan,
Banten
INDONESIA
Jurnal Saintika Unpam : Jurnal Sains dan Matematika Unpam
Published by Universitas Pamulang
ISSN : 26217856     EISSN : 26557312     DOI : 10.32493
Core Subject : Science, Education,
Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Mathematics Physics
Fokus dan Ruang Lingkup Jurnal Saintika Unpam: Jurnal Sains dan Matematika Unpam merupakan Jurnal Sains dan Matematika Unpam yang berisi tulisan yang diangkat dari hasil penelitian, kajian, dan karya ilmiah serta pengabdian kepada masyarakat dalam bidang Matematika Murni, Matematika Terapan, Matematika Komputasi, Statistik, Matematika Pendidikan, Fisika, Kimia dan Biologi.
Arjuna Subject : Matematika - Matematika Terapan
Articles 8 Documents
 1 
Search results for , issue "Vol 2, No 1 (2019)" : 8 Documents clear
ANALISIS JALUR UNTUK PENGARUH ANGKA HARAPAN HIDUP, HARAPAN LAMA SEKOLAH, RATA-RATA LAMA SEKOLAH TERHADAP INDEKS PEMBANGUNAN MANUSIA MELALUI PENGELUARAN RIIL PER KAPITA DI PROVINSI NUSA TENGGARA TIMUR Irvana Arofah; Siti Rohimah
JURNAL SAINTIKA UNPAM Vol 2, No 1 (2019)
Publisher : Program Studi Matematika FMIPA Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (366.807 KB) | DOI: 10.32493/jsmu.v2i1.2920

Abstract

Indeks Pembangunan Manusia (IPM) merupakan suatu ukuran kondisi sumber daya manusia pada suatu negara. Indeks Pembangunan Manusia mempunyai tiga unsur yaitu kesehatan, pendidikan yang dicapai, dan standar kehidupan atau sering disebut ekonomi. Tujuan penelitian ini untuk mengetahui faktor-faktor Angka Harapan Hidup, Harapan Lama Sekolah,Rata-Rata Lama Sekolah, Terhadap  Indeks Pembangunan Manusia (IPM) Melalui Pengeluaran Riil Per Kapita Di Provinsi Nusa Tenggara Timur. Dalam penelitian ini digunakan analisis jalur dengan menggunakan software SPSS. Analisis jalur mempunyai beberapa tahapan, yaitu Merumuskan hipotesis dan persamaan struktural, Menghitung koefisien jalur secara simultan (keseluruhan) dan secara individual, Menguji kesesuaian antar model analisis jalur, Memaknai dan menyimpulkan. Berdasarkan hasil penelitian menunjukkan bahwa besarnya kontribusi Angka Harapan Hidup  terhadap Indeks Pembangunan Manusia  sebesar 0,095 . Besarnya kontribusi Harapan Lama Sekolah  terhadap Indeks Pembangunan Manusia sebesar 0,187. Besarnya kontribusi Rata-rata Lama Sekolah  Indeks Pembangunan Manusia  sebesar 0,280 . Besarnya kontribusi Pengeluaran Riil PerKapita  terhadap Indeks Pembangunan Manusia  sebesar 0,571.  Besarnya kontribusi secara simultan antara Harapan Hidup , Harapan Lama Sekolah , Rata-rata Lama Sekolah , Pengeluaran Riil PerKapita  terhadap Indeks Pembangunan Manusia  sebesar 0,947
WHAT MAKES INTRODUCTORY PHYSICS DIFFICULT? Untung Nugroho Harwanto
JURNAL SAINTIKA UNPAM Vol 2, No 1 (2019)
Publisher : Program Studi Matematika FMIPA Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (327.869 KB) | DOI: 10.32493/jsmu.v2i1.2916

Abstract

The purpose of this study was to make an investigation what makes physics difficult. Students from different islands in Indonesia who were taking a preparation course in South Tangerang were taken into account of survey. A yes-no answer questionnaire was prepared in order to get the students perception toward physics. The questionnaire was given to approximately 115 students in the middle of the semester. The students were asked to full fill a questionnaire through what makes introductory physics difficult. We found that factor related to the nature of physics is taking part as the maximum percentage on the reason why physics considered as a difficult subject. But factor related to the courses is taking part as the minimum percentage on the reason why physics considered as a difficult subject. The female and male students mostly agreed that the factor related to the nature of physics and took more than fifty percent. Lack of physics background, lack of previous experience and working only assigned problem have the high percentage as the part of student controlled factor. Physics is cumulative subject and physics required good mathematics both are taking high percentage related to the nature of physics.
PENERAPAN MODEL PEMBELAJARAN TALKING STICK TERHADAP KEMAMPUAN PEMECAHAN MASALAH MATEMATIKA SISWA KELAS VII Helma Mustika; Halim Musliman
JURNAL SAINTIKA UNPAM Vol 2, No 1 (2019)
Publisher : Program Studi Matematika FMIPA Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (329.194 KB) | DOI: 10.32493/jsmu.v2i1.2921

Abstract

Penelitian ini bertujuan untuk mengetahui perbedaan kemampuan pemecahan masalah matematika antara siswa pada kelas yang memperoleh pembelajaran Talking Stick dengan siswa pada kelas yang memperoleh pembelajaran konvensional. Populasi penelitian ini adalah siswa kelas VII SMP Negeri 3 Pasir Penyu. Dari enam kelas, di peroleh 168 siswa yang tebagi di enam kelas. Jenis penelitian adalah Quasi Experimental Design, dengan rancangan penelitian Randomized Subjects posttes only control group design. Teknik analisis data yang digunakan adalah Cluster Random Sampling. Teknik analisis data yang digunakan terhadap soal tes kemampuan pemecahan masalahsiswa yaitu uji-t. Berdasarkan hasil penelitian pengujian hipotesis ditunjukkan oleh = 2,118 > = 2,005 dengan taraf signifikan 0,05. Artinya H0 di tolak, dengan demikian kemampuan pemecahan masalah matematika siswa dengan penerapan model Talking Stick lebih baik daripada hasil test kemampuan pemecahan masalah matematika siswa denan menggunakan pembelajaran konvensional pada kelas VII SMP Negeri 3 Pasir Penyu.
FAKTOR - FAKTOR YANG MEMPENGARUHI MINAT KONSUMEN DALAM MENGGUNAKAN JASA TRANSPORTASI KRL / COMMUTER LINE DENGAN METODE ANALISIS FAKTOR Besse Arnawisuda Ningsi; Ani Putriyani
JURNAL SAINTIKA UNPAM Vol 2, No 1 (2019)
Publisher : Program Studi Matematika FMIPA Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (247.344 KB) | DOI: 10.32493/jsmu.v2i1.2917

Abstract

The purpose of this study was to find out how many factors were formed through the reduction process, to determine which factors most dominantly influence consumer interest in using KRL Commuter Line transportation services, to find out how much influence the most dominant factors influence consumer interest in using KRL Commuter transportation services Line. In this study, the Factor Analysis method was used with principal component analysis techniques using SPSS software. 7 stages of factor analysis, namely: (1) formulating a problem, (2) Variable Interference Test, (3) forming a correlation matrix, (4) determining factor analysis methods, (5) extracting factors, (6) rotating factors, and (7) interpret factors. Based on the results of the study, the number of factors formed from the reduction process is 7 factors. Consisting of one factor (F1) with a correlation value of 0.608, factor two (F2) with a correlation value of -0.277, factor three (F3) with a correlation value of -0.246, factor four (F4) with a correlation value of 0.419, factor five (F5) with the correlation value is 0.716, factor six (F6) with a correlation value of -0.392, factor seven (F7) with a correlation value of 0.570. The most dominant factor affecting consumer interest in using KRL Commuter Line transportation services is factor five (F5) with a correlation value of 0.716 or 71.6%.
PENINGKATAN MINAT DAN HASIL BELAJAR BILANGAN BERPANGKAT DAN BENTUK AKAR SISWA KELAS X TEKNIK SEPEDA MOTOR SMK ELEKTRO SIJUNJUNG DENGAN MENGGUNAKAN PETA KONSEP Dewi Sefriyanti
JURNAL SAINTIKA UNPAM Vol 2, No 1 (2019)
Publisher : Program Studi Matematika FMIPA Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (127.01 KB) | DOI: 10.32493/jsmu.v2i1.2918

Abstract

This study aims to increase students' interest and mathematics learning achievements on the subject of rank numbers, root shapes and logarithms. In this study I used a concept map. Concept maps are a tool in the form of a scheme that states the relationship between concepts starting from the general to the specific ones which are connected through arrows in the form of propositions. Proposition is two or more statements about a concept that are related to words or arrows. Concept maps play an important role in meaningful learning, with concept maps of students being trained to think, in students being asked to think about concepts or events they already know. Meaningful learning is easier to take place if new concepts are linked to concepts that are inclusive, inclusive concepts that are basic concepts that are more general in nature. Concept maps must be arranged in a hierarchical manner, which means that a more inclusive concept is at the top of the map, the concepts below are sorted into less inclusive ones.
Permodelan Produksi Kopi Indonesia dengan Menggunakan Seasonal Autoregressive Integrated Moving Average (SARIMA) Hutomo Atman Maulana; Kasuma Wardany Harahap; Adriyansyah Adriyansyah; Rofiroh Rofiroh; Fuad Zainuddin
JURNAL SAINTIKA UNPAM Vol 2, No 1 (2019)
Publisher : Program Studi Matematika FMIPA Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (567.497 KB) | DOI: 10.32493/jsmu.v2i1.2914

Abstract

This research used a method in modelling time series data in the form of seasonal data. The method used in this study is the Seasonal Autoregressive Integrated Moving Average (SARIMA). This method is applied to Indonesian coffee production data from January 2009 - December 2013 with the aim of obtaining a model that will be used to predict the amount of coffee production in January 2014 - December 2014. The forecasting results from the next model will be compared with the original data. Data processing is done using EViews software. Based on the results of data processing, the best model for forecasting is obtained, SARIMA (2,1,0) (1,1,1)12
SISTEM PENGAMBILAN KEPUTUSAN DALAM PEMILIHAN MERK SMARTPHONE ANDROID TERBAIK DIKALANGAN MAHASISWA UNIVERSITAS PAMULANG DENGAN MENGGUNAKAN METODE TOPSIS Ilmadi Ilmadi; Desi Natalia Muskananfola
JURNAL SAINTIKA UNPAM Vol 2, No 1 (2019)
Publisher : Program Studi Matematika FMIPA Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (581.689 KB) | DOI: 10.32493/jsmu.v2i1.2919

Abstract

Penelitian ini dilakukan dengan dilatarbelakangi oleh keinginan untuk mengetahui smartphone android terbaik dikalangan mahasiswa. Salah satu cara untuk mengetahui kriteria smartphone android terbaik adalah dengan metode TOPSIS (Technique for Order Preference by Similarity to Ideal Solution). Data yang digunakan adalah data primer dari hasil pengisian kuisioner oleh Mahasiswa Fakultas Matematika dan Ilmi Pengetahuan Alam. Hasil Penelitian menunjukan bahwa pemilihan Tipe Smartphone android terbaik dikalangan Mahasiswa dengan metode Topsis dengan nilai terbesar yang diperoleh oleh Oppo F7 dengan nilai sebesar 0,98, kemudian diikuti Vivo V9 dengan nilai sebesar 0,77, Xiaomi Mi Max 2 dengan nilai sebesar 0,28, dan Asus Zenfone Max Plus (M1). Sedemikian sehingga Oppo F7 merupakan smartphone android terbaik
ANALISIS CLUSTER MENGGUNAKAN ALGORITMA K-MEANS CLUSTER UNTUK CULSTERING JENIS PENYAKIT MENULAR PADA PUSKESMAS DI KECAMATAN KOTA TANGERANG Aninda Rachma; Aden Aden; Yulianti Rusdiana
JURNAL SAINTIKA UNPAM Vol 2, No 1 (2019)
Publisher : Program Studi Matematika FMIPA Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (442.288 KB) | DOI: 10.32493/jsmu.v2i1.2915

Abstract

The research in this paper aims to cluster the types of diseases in the sub-district Puskesmas in the city of Tangerang, to facilitate the handling and improvement of the environment, and to find out which disease is the most dominant in each cluster, during clustering at the sub-district Puskesmas in Tangerang City. The subject of this research is the result of clustering of infectious diseases with the method used is Cluster Analysis using the K-means Cluster Algorithm using calculations using SPSS 22. And the results of this study can find out the type of disease with each Puskesmas according to the sub-district, for which clusters are determined there are four clusters where each cluster is a type of infectious disease itself, namely pulmonary Tuberculosis, pneumonia, dengue, and diarrhea, for each cluster each divided according to its sub-district or Puskesmas. With these results, it can be concluded that the clustering results know which sub-districts have contracted infectious diseases according to the cluster formed.

Page 1 of 1 | Total Record : 8

 1 

Filter by Year

2019 2019


Reset
Filter By Issues
All Issue Vol 5 No 2 (2023) Vol 5, No 2 (2023) Vol 5, No 1 (2022) Vol 4, No 2 (2022) Vol 4, No 1 (2021) Vol 3, No 2 (2021) Vol 3, No 1 (2020) Vol 2, No 2 (2020) Vol 2, No 1 (2019) Vol 1, No 2 (2019) Vol 1, No 1 (2018) More Issue