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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan GERVASI: Jurnal Pengabdian kepada Masyarakat Sarwahita : Jurnal Pengabdian Kepada Masyarakat M A T H L I N E : Jurnal Matematika dan Pendidikan Matematika Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Forum Analisis Statistik
Tamtama, Ray
Statistics Study Program, Faculty Of Mathematics And Natural Sciences, Tanjungpura University, Indonesia
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Pelatihan Software Minitab Pada Evaluasi Hasil Belajar Siswa Nurfitri Imro'ah; Dadan Kusnandar; Naomi Nessyana Debataraja; Shantika Martha; Wirda Andani; Evy Sulistianingsih; Hendra Perdana; Neva Satyahadewi; Ray Tamtama; Setyo Wir Rizki
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 3 No. 2 (2022): Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN)
Publisher : Cv. Utility Project Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (543.339 KB)

Abstract

Pengolahan data dapat dilakukan dengan perhitungan manual ataupun menggunakan alat bantu aplikasi software pengolah data. Salah satu software untuk mengolah data statistik yang dapat digunakan adalah software Minitab. Pengenalan software Minitab kepada kalangan guru khususnya guru SMP Negeri 5 Pontianak merupakan tujuan dari kegiatan Pengabdian Kepada Masyarakat (PKM) yang dilaksanakan oleh Program Studi Statistika FMIPA Universitas Tanjungpura. Kegiatan dilaksanakan dengan dua tahap, yaitu tahap pelatihan dan tahap pendampingan. Tahap pertama bertujuan untuk memperkenalkan software Minitab sebagai alat bantu pengolahan data dan diharapkan agar para guru yang menjadi khalayak dapat memperluas pengetahuan dan meningkatkan motivasi untuk melakukan penelitian yang berkaitan dengan data. Tahap kedua bertujuan untuk membantu para guru agar lebih mampu menganalisis data hasil penelitian yang telah dilakukan dan menambah motivasi untuk membuat publikasi hasil penelitiannya. Selanjutnya dilakukan monitoring terhadap pelaksanaan pelatihan pengolahan data menggunakan software Minitab. Selain itu juga dilakukan survey tanggapan kepada guru-guru terkait tanggapan tentang pelatihan yang dilakukan. Berdasarkan hasil analisis menggunakan uji paired sample t test didapat bahwa rata-rata nilai posttest lebih tinggi secara signifikan dibandingkan dengan rata-rata nilai pretest. Hal ini berarti bahwa pelatihan yang diberikan pada kegiatan PKM ini memberikan pengaruh pada kemampuan olah data para guru SMP Negeri 5 Pontianak.
Pelatihan Analisis Data Menggunakan Software Minitab untuk Mahasiswa Tingkat Akhir Setyo Wira Rizki; Naomi Nessyana Debataraja; Shantika Martha; Dadan Kusnandar; Ray Tamtama; Neva Satyahadewi; Nurfitri Imro'ah; Hendra Perdana
GERVASI: Jurnal Pengabdian kepada Masyarakat Vol. 7 No. 3 (2023): GERVASI: Jurnal Pengabdian kepada Masyarakat
Publisher : LPPM IKIP PGRI Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31571/gervasi.v7i3.5425

Abstract

Pelatihan analisis data pada Sekolah Tinggi Keguruan dan Ilmu Pendidikan (STKIP) Pamane Talino bertujuan meningkatkan kemampuan analisis data tugas akhir mahasiswa di STKIP Pamane Talino sehingga diharapkan dapat mempersingkat waktu penyelesaian tugas akhir. Pelatihan dilaksanakan secara daring pada 27 Oktober 2021 dan diikuti 140 mahasiswa. Kegiatan diawali dengan persiapan, pengabdi menggali informasi mengenai software dan metode statistik yang biasa digunakan. Setelah itu diberikan pre-test untuk mengukur kemampuan sebelum penyampaian materi, dilanjutkan dengan penyampaian materi analisis data serta demonstrasi software Minitab untuk uji validitas dan reliabilitas, uji hipotesis, dan uji-t oleh narasumber didampingi tujuh dosen Program Studi Statistika Universitas Tanjungpura lainnya. Setelah penyampaian materi, diberikan posttest untuk mengukur kembali kemampuan analisis data mahasiswa. Dilakukan pengujian hipotesis hasil pre-test dan posttest menggunakan uji-t guna menarik kesimpulan. Pengujian hipotesis menunjukkan p-value 0,094 lebih kecil dari taraf signifikansi (α) 10%, sehingga disimpulkan hasil dari pengabdian ini adalah meningkatnya kemampuan analisis data tugas akhir mahasiswa.
Analysis of the Effect of Population, Average Years of Schooling, and Per Capita Expenditure on Income Inequality among 14 Regencies/Cities in Kalimantan Barat Province Ihsan, Muhammad Nurul; Tamtama, Ray; Supandi, Supandi
Jurnal Forum Analisis Statistik Vol. 4 No. 2 (2024): Jurnal Forum Analisis Statistik (FORMASI)
Publisher : Badan Pusat Statistik Provinsi Kalimantan Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57059/formasi.v4i2.89

Abstract

In the implementation of economic development, Indonesia as a developing country is faced with complex problems in the implementation of economic development that is currently being carried out, namely the problem of inequality in income distribution. In West Kalimantan Province itself, regional economic development still needs special attention, in order to narrow the possibility of regional income inequality. One important aspect of economic development is improving the standard of living of the people. Improvements from social, educational and economic aspects must be made. In this research, data variables will be used that represent these aspects, namely population, average years of schooling, and per capita expenditure, which will then be identified using panel data regression analysis with best estimation modeling to determine the influence of these variables. on the Gini Ratio figure as a measuring variable of income inequality between 14 districts/cities in West Kalimantan Province from 2012 to 2023. Panel data regression in this research is used as an analytical tool using the best estimation modeling, namely the Fixed Effect Model (FEM). From the results of the analysis carried out, it was found that population size has a significant influence on the Gini Ratio figure. Meanwhile, the average years of schooling and per capita expenditure do not have a significant influence on the Gini Ratio or income inequality in West Kalimantan Province.
Binary Logistics Regression To Predict The Opportunity Of SNMPTN Graduation In Statistics Study Program Of Tanjungpura University Satyahadewi, Neva; Tamtama, Ray; Perdana, Hendra; Huriyah, Syifa Khansa
Mathline : Jurnal Matematika dan Pendidikan Matematika Vol. 8 No. 1 (2023): Mathline
Publisher : Universitas Wiralodra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31943/mathline.v8i1.269

Abstract

The National Selection of State University Entrance or Seleksi Nasional Masuk Perguruan Tinggi Negeri (SNMPTN) is one of the selections for high school students seeking higher education. The Statistics Study Program as one of the study programs at Tanjungpura University has a capacity of 20 seats in the SNMPTN. This limited capacity causes prospective students to prepare the right strategy in order to be accepted through the SNMPTN. In this study, logistics regression was used to predict the probability of graduation status on the SNMPTN path in the Statistics Study Program of Untan. Binary logistic regression is a statistical analysis technique for representing the relationship between a response variable with two (binary) categories and one or more predictor variables on a continuous or categorical scale. Data for this study were primary data from a questionnaire that received 93 samples. The response variable used is graduation status (Y) through the SNMPTN in Statistics Study Program, Tanjungpura University classified as 1 (passed) and 0 (not passed). Based on the results of the study, it is known that the variables that have a significant effect on graduation status are the status of choice in Statistics Study Program (X1), national level achievement ownership (X3), the average value of Mathematics (X4), the average value of Chemistry (X6), Biology average score (X7), Indonesian average score (X8), and English average score (X9). Meanwhile, provincial level achievement (X2) and Physics average (X5) did not have a significant effect on graduation status. The binary logistic regression model obtained has an accuracy error of 15,05% with an accuracy rate of 84,95%, meaning that this model has a good criteria.
Peningkatan Keterampilan Analisis Data Bagi Fungsional BPS di Kalimantan Barat Melalui Pelatihan SEM dengan AMOS Martha, Shantika; Andani, Wirda; Sulistianingsih, Evy; Debataraja, Naomi Nessyana; Imro'ah, Nurfitri; Satyahadewi, Neva; Tamtama, Ray; Perdana, Hendra; Kusnandar, Dadan
Bahasa Indonesia Vol 22 No 01 (2025): Sarwahita : Jurnal Pengabdian Kepada Masyarakat
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/sarwahita.221.9

Abstract

This Community Service activity is a form of cooperation between Statistics Study Program FMIPA UNTAN and BPS through training activities. The purpose of this PKM is to provide knowledge and insight to BPS functional employees about SEM (Structural Equation Modeling) using AMOS. This activities were carried out on Monday, August 14, 2023 in the Vicon room of the West Kalimantan provincial BPS office with 32 participants attending. The results of this training activity are expected to be applied by BPS functional employees in processing and analyzing data as research needs and work related to statistical data. The level of success in this training was measured through pre-test, post-test and participant satisfaction survey. A wilcoxon test was conducted with α = 0.05 and the result was p-value smaller than 0.01. So that the p-value < α which means rejecting H0 and it can be concluded that the average pretest score < average posttest score. In other words, the post-test results increased significantly, which means that the participants' abilities increased after the training. Based on the participant satisfaction survey, the results showed that all participants (100%) had never used AMOS software before. Overall, participants were satisfied (61.5%) and very satisfied (38.5%) with the training because they could increase their knowledge and the training materials delivered were in accordance with their needs, easy to understand and interesting, could be applied easily, and were delivered in order and systematically.   Abstrak Kegiatan Pengabdian Kepada Masyarakat (PKM) ini merupakan salah satu wujud kerjasama Prodi Statistika FMIPA UNTAN dengan BPS melalui kegiatan pelatihan. Adapun tujuan PKM ini yaitu memberikan pengetahuan dan wawasan kepada pegawai fungsional BPS tentang teknik pengolahan dan analisis data SEM (Structural Equation Modelling) dengan menggunakan AMOS. Kegiatan PKM dilaksanakan pada hari Senin, 14 Agustus 2023 di ruang Vicon kantor BPS prov Kalbar dengan jumlah peserta yang hadir 32 orang. Hasil dari kegiatan pelatihan ini diharapkan dapat diterapkan oleh pegawai fungsional BPS dalam mengolah dan menganalisis data sebagai kebutuhan penelitian maupun pekerjaan yang berhubungan dengan data statistika. Tingkat keberhasilan pada pelatihan ini diukur melalui pemberian pretest, posttest dan survey kepuasan peserta. Dilakukan uji beda menggunakan uji wilcoxon dengan α = 0.05 dan didapatkan hasil yaitu berupa p-value lebih kecil dari 0.01. Sehingga p-value < α yang berarti tolak H0 dan dapat disimpulkan rata-rata nilai pretest < rata-rata nilai posttest. Dengan kata lain hasil posttest meningkat secara signifikan yang artinya kemampuan peserta meningkat setelah dilaksanakan pelatihan. Berdasarkan survey kepuasan peserta didapatkan hasil ternyata semua peserta (100%) belum pernah menggunakan software AMOS sebelum pelatihan. Secara keseluruhan peserta merasa puas (61,5%) dan sangat puas (38,5%) mengikuti pelatihan karena dapat menambah pengetahuan serta materi pelatihan yang disampaikan sesuai dengan kebutuhan, mudah dipahami dan menarik, dapat diterapkan dengan mudah, dan disampaikan dengan urut dan sistematis.
Analisis Spatial Autoregressive (SAR) terhadap Faktor yang Memengaruhi Desa Banjir di Pulau Kalimantan Kusuma Dewi, Annisa; Tamtama, Ray; Natalia, Desa Ayu
Jurnal Forum Analisis Statistik Vol. 5 No. 1 (2025): Jurnal Forum Analisis Statistik (FORMASI)
Publisher : Badan Pusat Statistik Provinsi Kalimantan Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57059/formasi.v5i1.93

Abstract

Banjir merupakan bencana alam yang terjadi ketika air meluap dan menggenangi daratan. Peristiwa ini dapat menimbulkan dampak signifikan, seperti kerusakan infrastruktur, kehilangan aset, bahkan korban jiwa. Penelitian ini bertujuan untuk menganalisis faktor-faktor penyebab banjir di desa serta menilai apakah faktor-faktor tersebut dipengaruhi oleh kedekatan wilayah antar desa dengan menggunakan pendekatan Spatial Autoregressive (SAR) di Pulau Kalimantan. Variabel yang digunakan dalam penelitian ini meliputi jumlah desa terdampak banjir, jumlah desa yang mengalami kebakaran hutan dan lahan, jumlah desa yang mengalami pencemaran air, serta jumlah desa yang melakukan perawatan sungai. Hasil pemodelan SAR menunjukkan bahwa pencemaran air memiliki pengaruh besar terhadap terjadinya banjir di desa, dan pengaruh tersebut juga dipengaruhi oleh kondisi desa-desa yang berdekatan. Penelitian ini memberikan wawasan penting dalam upaya penanggulangan banjir, khususnya untuk perencanaan tata ruang dan mitigasi bencana di wilayah rawan banjir.
PENERAPAN METODE GEOGRAPHICALLY WEIGHTED PANEL REGRESSION (GWPR) PADA KASUS KEMISKINAN DI INDONESIA Martha, Shantika; Yundari, Yundari; Rizki, Setyo Wira; Tamtama, Ray
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 15 No 2 (2021): BAREKENG: Jurnal Ilmu Matematika dan Terapan
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (392.215 KB) | DOI: 10.30598/barekengvol15iss2pp241-248

Abstract

To analyze the factor affecting poverty during several periods by considering some geographical factors, we can use a geographically weighted panel regression (GWPR) method. GWPR is a combination of the geographically weighted regression (GWR) model and the panel regression model. The research conducts to identify the factors affecting the percentage of poor people in 34 provinces in Indonesia during 2015-2019. The results show that a suitable GWPR model is a fixed-effect model (FEM) with an exponential adaptive kernel function. Referring to the model, the province is divided into four groups based on variables having a significant effect on the percentage of poor people. That factors causing the poor people percentage in Indonesia are the poor people percentage aged above 15 years old and unemployment, the people percentage aged above 15 years old and employed in the agricultural sector, the literacy rate of the poor aged between 15 to 55 years old, and the life expectancy rate. Keywords: fixed effect model, exponential adaptive kernel.
MULTI-STATE MODEL FOR CALCULATION OF LONG-TERM CARE INSURANCE PRODUCT PREMIUM IN INDONESIA Perdana, Hendra; Satyahadewi, Neva; Kusnandar, Dadan; Tamtama, Ray
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 16 No 4 (2022): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (487.771 KB) | DOI: 10.30598/barekengvol16iss4pp1293-1302

Abstract

Long Term Care (LTC) insurance is a type of health insurance. One of the LTC products is Annuity as A Rider Benefit. This insurance provides benefits for medical care costs during the term and death benefits if the insured dies. This insurance product can be modeled with a multi-state model. The multi-state model is a stochastic process in which the subject can switch states at a specified number of states. This paper discusses the calculation of LTC insurance premiums with the Annuity as A Rider Benefit product using a multi-state model for critically ill patients in Indonesia. The state used consisted of eight states, namely healthy, cancer, heart disease, stroke, died from the illness from each disease, and died from others. The premium calculation also utilized Markov chain transition probabilities. The data used were data on Indonesia's population in 2018, data on the prevalence of cancer, heart disease, stroke, and Indonesia's 2019 mortality table. The stages of this study were calculating the net single premium value, benefit annuity value, and insurance premium value. The case study was conducted on a 25 years old male in good health following LTC insurance with a coverage period of 5 years. It was known that the compensation value for someone who dies was IDR 100,000,000 and the interest rate used was 5%. The calculation results obtained an annual premium of IDR 5,308,915 which was then varied based on gender and varied interest. Insurance premiums for men were more expensive than for women since men had a greater chance of dying. Then, the higher the interest rate taken; the lower premium paid. This was because the interest rate is a discount variable.
PREMIUMS CALCULATION OF TERMINAL ILLNESS INSURANCE Satyahadewi, Neva; Retnani, Hani Dwi; Perdana, Hendra; Tamtama, Ray; Aprizkiyandari, Siti
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 2 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss2pp0913-0918

Abstract

One related type of critical illness insurance is Long Term Care (LTC) Insurance. This study discusses the calculation of LTC insurance premiums with an annuity as a rider benefit. The benefit is included the cost of insurance care when diagnosed with a critical illness with a terminal condition or death because of any reason. The types of critical illnesses used in this study are cancer, heart disease, stroke, and diabetes mellitus. The data used are in the form of Indonesia's mortality table, and data on the prevalence of critical illness patients with terminal illness conditions. The net annual premium value in this study was obtained through the results of the multiple-state model determination of the transition probabilities of 10 states. The transition probability of an insured candidate is obtained from the prevalence of critical illness patients and the prevalence of mortality. Based on the case study, the amount of net annual premium that must be paid by an insured female aged years in good health is for the protection period and the payment period is years. The cost of insurance premiums for the male insured is greater than for the female insured. The higher the interest rate used, the smaller the net single premium that must be paid. The younger the age when registering the policy, the smaller the premium that must be paid. The longer the coverage period, the greater the premium that must be paid. This result is expected to be a recommendation for the prospective insured to adjust the suitable premium.
NET SINGLE PREMIUM ON CRITICAL ILLNESS INSURANCE WITH MULTI-STATE MODEL Taraly, Inggriani Millennia; Satyahadewi, Neva; Perdana, Hendra; Tamtama, Ray; Aprizkiyandari, Siti
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 2 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss2pp0989-0994

Abstract

The chances of someone getting a disease or suffering from a critical illness are very large, especially when they get older, the chances of getting a critical illness will be higher. A guarantee of the future is indispensable if a person suffers from a critical illness at any time and requires considerable costs to undergo treatment. Insurance is one of the right choices and is beneficial for people with critical illnesses. In this study, the calculation of Critical Illness insurance premiums was carried out to determine the value of premiums that must be paid by a person when suffering from a critical illness. The types of critical illnesses used include cancer, heart disease, stroke, kidney failure, diabetes mellitus, and hypertension. Health insurance that protects insureds suffering from critical illnesses is Long Term Care insurance with the Annuity as A Rider Benefit product. The multi-state model is used to determine the probability of a person suffering from a critical illness. The benefits obtained are in the form of death compensation, and treatment costs when the insured is diagnosed with a critical illness. The data used are data on the prevalence of critical illnesses and the percentage of deaths due to critical illnesses. In this study, we will compare the amount of premium that must be paid by the insured with different interest rates, gender, coverage period, and age. The higher the age at the beginning of following the insurance, the higher the premium. The higher the interest rate during the payer's period, the lower the premium.
Co-Authors Andani, Wirda Aprizkiyandari, Siti Dadan Kusnandar Dadan Kusnandar Debataraja, Naomi Nessyana Evy Sulistianingsih Hendra Perdana Huriyah, Syifa Khansa Ihsan, Muhammad Nurul Imro'ah, Nurfitri Kusuma Dewi, Annisa Martha, Shantika Naomi Nessyana Debataraja Naomi Nessyana Debataraja Natalia, Desa Ayu Neva Satyahadewi Nurfitri Imro'ah Nurfitri Imro’ah Retnani, Hani Dwi Rizki, Setyo Wira Setyo Wir Rizki Setyo Wira Rizki Shantika Martha Shantika Martha Supandi Taraly, Inggriani Millennia Tiara, Dinda Wirda Andani Yundari, Yundari