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All Journal Indonesian Journal of Artificial Intelligence and Data Mining JTAM (Jurnal Teori dan Aplikasi Matematika) Journal of Dedicators Community AXIOM : Jurnal Pendidikan dan Matematika Jurnal Cendekia : Jurnal Pendidikan Matematika Jurnal Saintika Unpam : Jurnal Sains dan Matematika Unpam Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika GEMBIRA (Pengabdian Kepada Masyarakat)
Besse Arnawisuda Ningsi
Universitas Pamulang
Religion Arts Humanities Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Education Law, Crime, Criminology & Criminal Justice Mathematics Physics Public Health Social Sciences

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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%.
Pengenalan Alat Peraga Dasar Matematika Kepada Siswa Sekolah Dasar (SD) Irvana Arofah; Besse Arnawisuda Ningsi
Journal of Dedicators Community Vol 5, No 1 (2021)
Publisher : Universitas Islam Nahdlatul Ulama Jepara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34001/jdc.v5i1.1187

Abstract

Community service is carried out by the Pamulang University lecturer team in Pamulang sub-district, South Tangerang city in an effort to increase understanding of mathematical concepts with the target of elementary school students. The activities carried out are divided into 3 stages, the first stage: first giving a pre-test to students to find out the students' initial abilities, the second stage providing mentoring and training in understanding mathematical counting concepts with the help of mathematical teaching aids, and the third stage conducting evaluations with how to give a test (post-test) to determine the results of the treatment in the second stage. The visual aids used in this activity are the nomographic aids, the visual aids weighing the car props. Each of these props provides an understanding of the mathematical counting concepts in the operations of addition, subtraction, multiplication and division. From the results of the post-test conducted an increase in students' understanding of the concepts of mathematical operations in the form of operations of addition, subtraction, multiplication and division after being given understanding with the help of mathematical teaching aids.
OPTIMASI PRODUKSI TAHU DENGAN MENGGUNAKAN METODE PROGRAM DINAMIK Neneng Herawati; Aden; Irvana Arofah; Besse Arnawisuda Ningsi
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 2 No. 1 (2021): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v2i1.54

Abstract

Perekonomian di Indonesia sekarang ini mengalami resesi yang sangat hebat karena dampak pandemic Covid-19, hal ini terlihat dari pertumbuhan ekonomi yang melambat hingga di bawah 5% pada akhir tahun 2020. Persaingan bisnispun semakin ketat, demikian pula perusahaan “Tahu” harus mengalami persaingan yang sangat ketat. Perusahaan harus dapat memenuhi permintaan yang datang, dan disisi lain perusahaan harus dapat menekan biaya produksi keseluruhan untuk menekan biaya jual beli Tahu agar mendapat keuntungan yang optimal. Penelitian ini bertujuan untuk  mengetahui bagaimana optimalisasi produksi tahu dengan menggunakan metode program dinamik rekursif. Untuk meramal jumlah produksi yang harus diproduksi pada periode mendatang digunakan regresi linier, kemudian untuk menghitung biaya produksi minimum dan keuntungan sesuai dengan hasil penjadwalan digunakan metode program dinamik. Dari hasil ramalan pada data produksi Tahu Januari-Desember 2020 didapat model untuk periode mendatang adalah sebagai berikut : Y` = 1925 + 39 X. Sehingga jadwal produksi Tahu untuk 12 periode mendatang Januari-Desember 2020 adalah (2457, 2496, 2536, 2575, 2615, 2654, 2693, 2733, 2772, 2812, 2851, 2890 Kg). Untuk meminimumkan biaya produksi maka digunakan metode program dinamik dengan fungsi tujuan, sehingga didapat total biaya minimum sebesar Rp. 20.292.100,-.
PENDUGAAN DATA HILANG PADA KASUS RANCANGAN ACAK KELOMPOK LENGKAP (RAKL) DENGAN METODE YATES Ida Kamila; Hendro Waryanto; Irvana Arofah; Besse Arnawisuda Ningsi
AXIOM : Jurnal Pendidikan dan Matematika Vol 10, No 2 (2021)
Publisher : Universitas Islam Negeri Sumatera Utara Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30821/axiom.v10i2.8734

Abstract

Abstrak:Suhu udara sangat mempengaruhi aktivitas manusia, oleh karena itu sangat penting bagi manusia untuk mengetahui besaran suhu di daerah tertentu agar dapat mempersiapkan diri dalam beraktivitas. Untuk mengetahui besaran suhu di suatu daerah dilakukan pengukuran suhu udara. Namun dalam pengukuran suhu tidak selamanya berjalan sesuai yang direncanakan. Beberapa masalah terkadang sering terjadi seperti hasil pengukuran yang tidak teramati, fasilitas yang kurang memadai, ataupun beberapa faktor lainnya. Hal tersebut menimbulkan suatu masalah yang dikenal sebagai data hilang. Menurut data yang diperoleh dari BBMKG wilayah II terdapat dua wilayah, yaitu Stasiun Klimatologi Masgar dan Stasiun Maritim Lampung, yang masing-masing terdapat satu data hilang. Data hilang tersebut harus diduga dan diganti sebelum melakukan analisis lebih lanjut agar data yang diperoleh menjadi akurat dan valid. Metode pendugaan data hilang dalam penelitian ini menggunakan metode Yates yaitu dengan cara meminimumkan jumlah kuadrat galat. Pada Stasiun Klimatologi Masgar terdapat data hilang di bulan September 2015, sedangkan di Stasiun Maritim Lampung terdapat data hilang di bulan November 2016. Dengan metode Yates didapatkan hasil dugaan data hilang di Stasiun Klimatologi Masgar pada bulan September 2015 yaitu 27,1˚C, sedangkan di Stasiun Maritim Lampung pada bulan November 2016 yaitu 29,7˚C. Kata Kunci:Suhu Udara, Data Hilang, Metode Yates Abstract:Air temperature greatly affects human activities, so humans must know the temperature in certain areas to prepare themselves before doing activities outside. To measure the temperature of an area, air temperature measurement is carried out. However, temperature measurement does not always go as planned. Several problems sometimes occur, such as unobserved measurement results, inadequate facilities, and other factors. This creates an issue called missing data. Based on the data obtained from Meteorology, Climatology, and Geophysical Agency (Indonesian: Badan Meteorologi, Klimatologi, dan Geofisika, abbreviated as BMKG) region II, two areas have experienced a case of missing data (Masgar Climatology Station and Lampung Maritime Station). The missing data must be replaced before conducting further analysis so that the data obtained is accurate and valid. The method of estimating missing data in this study follows the Yates method that minimizes the number of squares errors. The estimation of missing data at the Masgar Climatology Station indicates that there was a case of missing data in September 2015. Meanwhile, there was a case of missing data in November 2016 at the Lampung Maritime Station. The findings indicate that the estimated missing data obtained at Masgar Climatology Station in September 2015 was 27,1˚C while the estimated missing data obtained at Stasiun Maritim Lampung in November 2016 was 29,7˚C. Keywords:Air Temperature, Missing Data, Yates Method
Application of Markov Chain to Prediction Poverty in Banten Province Besse Arnawisuda Ningsi; Dinda Novianda Putri
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 7, No 1 (2023): January
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v7i1.10057

Abstract

The number of poor people in Banten Province is in the third lowest position in Java Island under the Special Region Province of the Capital Jakarta and Yogyakarta Special Region Province in 2018-2020 until finally it is in the second lowest position in 2021. However, this does not mean that the problem of poverty is no longer a top priority. This study aims to apply the Markov chain in predicting poverty in Banten Province. According to Marli et al. (2018) The Markov chain is a method that studies the properties of a variable in the present based on its past properties to estimate the properties of these variables in the future. In this research, the type of research used is applied research and used secondary data sourced from the Central Statistics Agency (BPS) Banten Province. The poverty prediction results for Pandeglang Regency in 2022, 2023 and 2024-2025 will increase by 2%, 0.46%, and 0.02%, respectively. Lebak Regency in 2022 will increase by 2%, in 2023 and in 2024-2025 it will decrease by 0.66% and 0.01%, respectively. Tangerang Regency in 2022 will decrease by 4%, in 2023 it will increase by 0.99%, and will fall back in 2024-2025 by 0.01%. Serang Regency in 2022 will increase by 1%, in 2023-2025 it will decrease by 0.83%. Tangerang City in 2022 remains, in 2023 and 2024-2025 it will increase by 0.53% and 0.01%, respectively. The city of Cilegon in 2022 remains, in 2023 it will increase by 0.18% and 2024-2025 will decrease by 0.01%. Serang City in 2022 remains, in 2023-2025 it will decrease by 0.71%. South Tangerang City in 2022 will decrease by 1%, in 2023-2025 it will increase by 0.04%. The steady state probability of Pandeglang Regency is 17.48%, Lebak Regency is 17.33%, Tangerang Regency is 27.98%, Serang Regency is 10.17%, Tangerang City is 15.54%, Cilegon City is 2.17%, Serang City is 5.29% and South Tangerang City is 4.04%..
Hubungan Kemandirian Belajar dan Hasil Belajar Matematika Ditinjau dari Meta Analisis Irvana Arofah; Besse Arnawisuda Ningsi
Jurnal Cendekia : Jurnal Pendidikan Matematika Vol 7 No 1: Jurnal Cendekia: Jurnal Pendidikan Matematika Volume 7 Nomor 1 Tahun 2023
Publisher : Mathematics Education Study Program

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/cendekia.v7i1.1898

Abstract

Penelitian ini menggunakan metode meta analisis dengan tujuan untuk mengetahui hubungan antara hasil belajar matematika dari kemandirian belajar peserta didik. Meta analisis dilakukan dengan malakukan review terhadap artikel penelitian yang terpublikasi dalam jurnal pada rentang tahun publikasi dimulai dari tahun 2017 sampai dengan tahun 2021. Kemandirian belajar peserta didik adalah bagian krusial berdasarkan proses pembelajaran buat bisa mencapai output belajar yg baik. Hasil belajar yang dicapai manusia akan memperoleh hasil belajar yang akan terus mengalami perubahan dan perkembangan. Hasil penelitian meta analisis ini menunjukkan bahwa hubungan antara kemandirian belajar dan hasil belajar matematika termasuk ke dalam kategori yang tinggi. Sedangkan dalam setiap jenjang pendidikan peserta didik, kemandirian peserta didik dengan jenjang pendidikan sekolah dasar (SD) termasuk ke dalam kategori sedang dalam hubungannya dengan hasil belajar matematika, dan kemandirian peserta didik dengan jenjang pendidikan SMP, SMA/SMK, dan PT termasuk ke dalam kategori tinggi dalam hubungannya dengan hasil belajar matematika.
Performance Comparison of Data Mining Classification Algorithms on Student Academic Achievement Prediction Munarsih Munarsih; Besse Arnawisuda Ningsi
Indonesian Journal of Artificial Intelligence and Data Mining Vol 6, No 1 (2023): Maret 2023
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/ijaidm.v6i1.21874

Abstract

Academic achievement is one of the benchmarks of student success in carrying out the learning process. Grade Point Average (GPA) is a reference for universities in determining student academic achievement. For universities, academic achievement can be an indicator of determining the success of the learning system and can improve the image of the university. This study aims to determine the prediction of academic achievement results of Pamulang University students with Naive Bayes, C4.5 and KNN, and to determine the comparison results of Naive Bayes, C4.5 and KNN algorithms in predicting the academic achievement of Pamulang University students. The algorithms compared in this study are Naive Bayes, C4.5 and K-Nearest Neighbor (KNN) algorithms, using the factors of gender, age, faculty, regional origin, work status, organisation participation, type of school origin, distance of residence, and parents' profession as artibut. The results of this study show that the KNN algorithm is the algorithm with the greatest accuracy rate of 56.25%, followed by the Naive Bayes algorithm and the C4.5 algorithm with an accuracy rate of 50.00%.
ANALISIS KLASTER KEMISKINAN KABUPATEN KOTA DI PROVINSI BANTEN MENGGUNAKAN METODE K-MEANS Matius Tadi; Besse Arnawisuda Ningsi
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 1 (2023): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v4i1.224

Abstract

Poverty is a special problem that needs to be discussed in Indonesia. Because poverty that occurs in a certain area will have an impact on development in Indonesia. Banten province has a percentage of 6.04 percent with a total poverty of 576.62 thousand poor people. Given this, the Provincial Government of Banten requires knowledge of district/city socio-economic data in Banten Province. This study aims to cluster regencies/cities in Banten Province using the K-Means method. The K-Means method is a clustering technique that aims to group data based on the same characteristics. The variables observed in this study were the percentage of poor people aged 15 and over who had graduated from elementary/junior high school, the percentage of poor people aged 15 and over who had finished high school and above, the percentage of poor people aged 15 and over by district/city not working, the percentage of poor people aged 15 Years and over by district/city working in the informal sector, percentage of poor population aged 15 and over by district/city working in the formal sector, percentage of expenditure per capita for food by district/city and poor status. the results of the analysis showed that the district/city poverty clustering in Banten Province using the K-means method obtained 2 clusters, namely cluster 1 consisting of Tangerang City, Cilegon City and South Tangerang City and cluster 2 consisting of Pandeglang Regency, Lebak Regency, Tangerang, Serang Regency, Serang City. And formation 2 cluster has a good structural test value based on the results of the silhouette index so that 2 cluster has the best accuracy value compared to 3 clusters and 4 cluster.
Pelatihan Statistik Dalam Upaya Peningkatan Kemampuan Penalaran Siswa SMK Avicena Tenjo Irvana Arofah; Besse Arnawisuda Ningsi
Jurnal Gembira: Pengabdian Kepada Masyarakat Vol 1 No 1 (2023): Februari 2023
Publisher : Media Inovasi Pendidikan dan Publikasi

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

This Community Service aims to provide alternative solutions to the problems faced in improving students' reasoning abilities. The methods used in carrying out this service include the following: Procurement of initial evaluations to determine the initial abilities of the Avicenna Tenjo Vocational High School students, Statistical training using the SPSS and Minitab applications, Training for completing statistical sample questions using the SPSS and Minitab applications, Final evaluation in the form of level of knowledge and mastery of Avicenna Tenjo Vocational High School students after being given this dedication material. An increase in student reasoning occurs when students are given examples of existing applications in everyday life and with interesting delivery. An increase in students' reasoning occurs when the use of information technology is used in statistical materials, using SPSS and Minitab software. Students are more stimulated to find out every detail of the material when students practice the material directly using SPSS and Minitab software.
ANALISIS PENGARUH FAKTOR-FAKTOR DIMENSI KUALITAS PELAYANAN TERHADAP KEPUASAN NASABAH KSPPS UBASYADA CIPUTAT DENGAN MENGGUNAKAN ANALISIS REGRESI LOGISTIK BINER Siti Nuur Rokhmah; Besse Arnawisuda Ningsi
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 4 No. 3 (2023): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v4i3.395

Abstract

Ubasyada Ciputat Sharia Savings and Loans and Financing Cooperative (KSPPS) is a cooperative whose business activities are engaged in savings and loans as the principal of its business, as well as funding, financing, and also food stalls. The results of preliminary studies show that there is a lack of interest in people living around to become cooperative customers. This study aims to determine the influence of service quality dimension factors on customer satisfaction of Ubasyada Ciputat Sharia Savings and Loans and Financing Cooperative (KSPPS) using binary logistic regression analysis. The population and sample as of this writing are 30 priority customers of the Ubasyada Ciputat Savings and Loans and Sharia Financing Cooperative (KSPPS). Data is obtained by distributing questionnaires to customers, then tested for validation and reliability and then carried out Binary Logistic Regression tests. From the results of the analysis, it was obtained that the influence of service quality dimension factors that most influence customer satisfaction of Ubasyada Ciputat Savings and Loans and Sharia Financing Cooperative (KSPPS), namely assurance (X4) and empathy (X5) have a positive effect on customer satisfaction (Y).
Co-Authors Aden Ani Putriyani Annisa Shafira Dinda Novianda Putri Hendro Waryanto Ida Kamila Irvana Arofah Lalu Masyhudi Matius Tadi Munarsih Munarsih Neneng Herawati Siti Nuur Rokhmah