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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan Lontar : Journal of Community Health Jurnal Diferensial Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi MATHunesa: Jurnal Ilmiah Matematika Jurnal Cakrawala Ilmiah Jurnal Pengabdian Kepada Masyarakat (JPKM) J-Icon : Jurnal Komputer dan Informatika Jurnal Lembaga Pengabdian Kepada Masyarakat Undana
Keristina Br. Ginting
Universitas Nusa Cendana
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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Model Pengendalian Faktor Risiko Kematian Neonatal di Kabupaten Sumba Timur Masrida Sinaga; Keristina Br. Ginting
Lontar : Journal of Community Health Vol 1 No 2 (2019): June 2019
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/ljch.v1i2.2162

Abstract

The Infant Mortality Rate (IMR) is still high in Indonesia, and the Province of East Nusa Tenggara (NTT Province) is one of the contributors to the high IMR, the highest in Sumba Timur Districts. Neonatal death can occur due to risk factors in the mother and also the child.The purpose of this study is to analyze the factors that influence neonatal mortality, so that the control model can be developed. The study used a case-control design, with the population being all newborns who were delivered at and recorded in care hospitals and health centers located in Sumba Timur Districts in 2016. Case samples were 116 cases of neonatal mortality, and controls were 232 neonatal lives who is the closest neighbour to a case with equitable socio-economic status. Data were analyzed descriptively and inferentially. Further research was conducted on 166 mothers with conditions during pregnancy and childbirth optimal health and children born also without risk factors. The most dominant risk factors affecting neonatal deaths in Sumba Timur districts are asphyxia in infants, complications of pregnancy/childbirth, maternal anemia, prematurity and LBW. From the compatibility test of the logistic regression model partially, the probability of p1 = 0.03 p0 is obtained. That is, if asphyxia in infants, complications of pregnancy, maternal anemia, prematurity and low birth weight can be overcome, then the risk of neonatal death is only 0.03 or 3%. The results of follow-up studies of 166 birth mothers in 2018 who at the time of pregnancy and childbirth without risk factors (without complications of pregnancy/childbirth, there is no anemia in the mother, without asphyxia cases in infants, not premature and not LBW), it turns out neonatal mortality is only 1 case (0.6%). This result is the basis for determining the model of control and prevention of risk factors for neonatal death, namely optimizing maternal health during pregnancy and during childbirth. Among other things by checking the pregnancy, good nutritional status, handling complications of pregnancy and childbirth optimally, and giving birth to workers and adequate health facilities.
ANALISIS REGRESI DATA PANEL UNTUK KASUS DEMAM BERDARAH DENGUE DI PROVINSI NUSA TENGGARA TIMUR Oktovianus Antonio Boleng; Keristina Br Ginting; Ariyanto Ariyanto
JURNAL DIFERENSIAL Vol 4 No 2 (2022): November 2022
Publisher : Program Studi Matematika, Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jd.v4i2.8286

Abstract

ABSTRAK Demam Berdarah Dengue (DBD) merupakan penyakit menular yang disebabkan oleh infeksi virus dengue melalui gigitan nyamuk aedes aegypti dan nyamuk aedes albopictus. Penelitian ini bertujuan untuk menentukan model akhir regresi data panel pada kasus faktor-faktor yang mempengaruhi DBD di Provinsi Nusa Tenggara Timur dari tahun 2016 sampai 2020. Variabel dependen yang digunakan dalam penelitian ini adalah Demam Berdarah Dengue (DBD), sedangkan variabel independen yang digunakan dalam penelitian ini diantaranya rumah tangga yang berperilaku hidup bersih dan sehat, kepadatan penduduk, kemiskinan, dan curah hujan Kabupaten/Kota di Provinsi Nusa Tenggara Timur. Berdasarkan hasil penelitian yang dilakukan diketahui Random Effect Model (REM) adalah model yang sesuai untuk pendekatan pada analisis regresi data panel untuk kasus demam berdarah dengue di provinsi Nusa Tenggara Timur (NTT). Faktor yang mempengaruhi tingkat kasus demam berdarah dengue di Provinsi Nusa Tenggara Timur antara lain Kepadatan Penduduk (KP) dan Curah Hujan (CH) dengan koefisien determinasi ( sebesar 12.41% sedangkan sisanya sebesar 87.59% dijelaskan oleh variabel lain.
PENGGUNAAN MODEL REGRESI QUASI LIKELIHOOD UNTUK MENGATASI MASALAH OVERDISPERSI PADA REGRESI POISSON Robertus Dole Guntur; Keristina Br Ginting; Ganesha Lapenangga Putra; Jeanete Y Nenabu
JURNAL DIFERENSIAL Vol 4 No 2 (2022): November 2022
Publisher : Program Studi Matematika, Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jd.v4i2.8734

Abstract

One of the main issue in the poisson regression model is over dispersion. The existence of over dispersion causes the estimated regression coefficients tend to produce estimates that deviate from the actual parameter values. The main purpose of this study is to show how to overcome the dispersion problem in this regressiom model using Quasi Likelihood regression method. This study used secondary data with sample size 316. The results of this study indicated that the value of Pearson Chi-square and deviance in the testing of the goodness of fit for quasi likelihood regression model were more closed to the value of chi-square table with degree of freedom 313. Therefore, the application of quasi likelihood model regression is more adequate than the Poisson regression model to handle over dispersion.
ANALISIS ESTIMASI REPRODUKSI DASAR MODEL MATEMATIKA PENYEBARAN PENYAKIT TUBERKULOSIS DI BIMA, INDONESIA Ariyanto Ariyanto; Rapmaida M Pangaribuan; Zakarias S Ngara; Keristina Br Ginting
J-ICON : Jurnal Komputer dan Informatika Vol 10 No 2 (2022): Oktober 2022
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v10i2.7925

Abstract

The spread of covid-19 poses a threat to the transmission of diseases related to the lungs, including TB. TB is one of the main problems that is still easily found in various areas, including Bima Regency, NTB. To find out the dynamics of the distribution and the strategy to solve it, it is necessary to conduct research from various aspects, including the mathematical aspect. One of the important indicators in mathematical epidemiology is the basic reproduction ratio. Therefore, this study was conducted to determine the estimated value of the basic reproduction number, and the relationship between the rate of cure of the disease and the basic reproduction value using a mathematical model for the dynamics of the spread of TB tuberculosis in Bima Regency. The method used in this study is the early-take off-rate method, which is estimating the initial growth of the infected population. Bima Regency is included in the TB disease emergency category because from January 2020 to May 2022, 1,245 new cases of infected people were found, and the occurrence of the covid-19 pandemic in the last two years has contributed to a decrease in TB disease cases in Bima Regency. Based on the results of research data analysis, the spread of TB disease in Bima Regency is included in the endemic category with the indicator value of being in the range between 2 and 3. The spread of TB disease in Bima Regency will disappear from the population if the value of the disease transmission rate is below 0.168 with the healing rate is greater (or the treatment period is shorter).
Wn-SUPER MAGIC LABELING ON GRAPH Pm ⊵e Wn Ci Manu; Ganesha Lapenangga Putra; Keristina Br. Ginting
JURNAL DIFERENSIAL Vol 5 No 1 (2023): April 2023
Publisher : Program Studi Matematika, Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jd.v5i1.9823

Abstract

Suppose G graph, H subgraph of G, then graph G admits H-covering having an H-magic labeling if there exist a bijective function mapping V (G) ∪ E(G) to a set of natural number at most |V (G)| + |E(G)| such that for any subgraph H¯ of G isomorphic to H, the sum of vertex and edge label of H¯ is equal to a fix number k, where k is a magic number. Moreover, such a labeling called H-super magic if the range of vertex set of G is a set positive integer less than or equal to |V (G)|. Suppose that e is an edge of Wn. Graph Pm ⊵e Wn is a graph obtained by taking a copy of graph Pm, |E(Pm)| copies of Wn, then identifying i-th edge of Pm to an edge e at i-th copy of Wn. In this paper, we construct the Wn-supermagic labeling of Pm ⊵e Wn.
Pelabelan Harmonis Ganjil Pada Graf Cm,n ⊵e C4 Demetriana Kolo; Keristina Br. Ginting; Ganesha L Putra
JURNAL DIFERENSIAL Vol 5 No 1 (2023): April 2023
Publisher : Program Studi Matematika, Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jd.v5i1.9824

Abstract

Graph is an ordered pair of a vertex and edge set that related with various theories, one of them called labeling. There are a lot of types of graph labeling, one of them is odd harmonious labeling. The odd harmonious labeling is an injective function f : V (G) → {0, 1, 2, . . . , 2q − 1} such that induced a bijective function is f∗: E(G) → {1, 3, 5, · · · , 2q − 1} which is defined by f∗(uv) =f(u) + f(v). This study aims to construct an odd harmonious labeling on a graph Cm,n ⊵e C4. The results showed that a graph Cm,n ⊵e C4 is an odd harmonious graph.
Penentuan Komoditas Unggulan Subsektor Tanaman Pangan Menggunakan Metode Location Quotient (LQ) dan Fuzzy Analytical Hirarchy Process (FAHP) Resi, Edmund Ridwanto Alfian; Pangaribuan, Rapmaida Megawaty; Guntur, Robertus Dole; Ginting, Keristina Br
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi EULER: Volume 12 Issue 1 June 2024
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v12i1.25656

Abstract

This research aims to determine the leading commodities of the food crop subsector in Malaka Regency using the Location Quotient (LQ) and Fuzzy Analytical Hierarchy Process (FAHP) methods. The LQ method is used to identify commodities that have comparative advantages in this region. The results of the LQ calculation show that rice and corn are the base commodities in Malaka Regency because they are the most common in three sub-districts. Rice is the base commodity in the sub-districts of West Malaka (2.14), Central Malaka (2.24), and Weliman (1.70), while corn is the base commodity in the sub-districts of Kobalima (1.21), Wewiku (1.48), and Rinhat (1.26). The FAHP method is applied to integrate various assessment criteria in determining the priority of leading commodities. The results of the FAHP analysis show that the leading commodity in the food crop subsector in Malaka Regency is rice, with a weight value of 0.246 as the top priority, followed by corn, with a weight value of 0.198. The criterion that becomes the top priority in determining leading commodities is the availability of facilities and infrastructure, with a weight value of 0.327. Based on the research results, the combination of the LQ and FAHP methods provides more accurate results in determining leading commodities.
HUBUNGAN FAKTOR DEMOGRAFIS DENGAN PENGETAHUAN METODE PENCEGAHAN MALARIA MASYARAKAT PEGUNUNGAN DI PROVINSI NTT Elisabeth E. Wutun; Robertus D. Guntur; Keristina Br. Ginting; Jusrry R. Pahnael; Kusumaningrum, Damai
Jurnal Cakrawala Ilmiah Vol. 4 No. 2: Oktober 2024
Publisher : Bajang Institute

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

Abstract

Malaria adalah penyakit menular yang ditularkan pada manusia oleh gigitan nyamuk anopheles betina yang terinfeksi parasit protozoa genus plasmodium. Di Indonesia wilayah yang paling banyak kasus malaria yaitu Wilayah Indonesia Timur. Untuk mencapai eliminasi malaria dibutuhkan tingkat pengetahuan metode pencegahan malaria yang baik dari masyarakat. Karenanya, dilakukan penelitian untuk menyelidiki hubungan variable demografi dan pengetahuan metode pencegahan malaria (PMPM) masyarakat pegunungan di Provinsi Nusa Tenggara Timur (NTT). Sumber data yang digunakan adalah data sekunder diperoleh dari jurnal Intenasional yang bersifat open access. Total responden yang di analisis adalah 986. Variabel yang digunakan yaitu variabel dependen yakni tingkatan PMPM dan variabel independen yaitu kelompok umur, jenis kelamin, jenjang pendidikan, pekerjaan, tingkat pendapatan berdasarkan upah minimum provinsi, jumlah anggota keluarga, status sosial ekonomi. Data dianalsis dengan menggunakan analisis descriptive dan metode chi-square. Hasil penelitian menunjukkan dari total responden yang dianalisis, prevalensi tingkatan PMPM yang baik dari masyarakat pegunungan adalah 28,3%. Analisis chi-square menunjukkan bahwa terdapat hubungan yang nyata antara tingkatan PMPM dengan kelompok umur, jenis kelamin, jenjang pendidikan, pekerjaan, tingkat pendapatan, jumlah anggota keluarga, status sosial ekonomi dari masyarakat pegunungan di Provinsi NTT. Persentasi masyarakat yang memiliki PMPM yang baik meningkat seiring meningkatnya tingkatan pendidikan masyarakat dan menurun seiring dengan meningkatnya usia responden penelitian
PENINGKATAN MOTIVASI BELAJAR MATEMATIKA BAGI SISWA SMAN 2 SEMAU DENGAN APLIKASI SOFTWARE MATEMATIKA Ginting, Keristina Br.; Putra, Ganesha L.; Pasangka, Irvandi G.; Tamonob, Arista M.
Jurnal Pengabdian Kepada Masyarakat Vol 5 No 1 (2025): Juni 2025
Publisher : Universitas Nusa Cendana

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

Abstract

Pembelajaran matematika, sering sekali siswa bosan, jenuh dikarenakan sulit menyelesaikan soal matematika dan guru dalam menyampaikan materi pelajan matematika tidak menarik. Apabila soal matematika yang diberikan oleh guru berbeda dengan contoh yang telah disampaikan, maka siswa akan kesulitan menyelesaikan persoalan tersebut. Jika siswa tidak dapat memahami pelajaran, seringkali siswa tidak mau serius mendengarkan materi pelajaran matematika dan membuat suasana kelas menjadi tidak menyenangkan bagi siswa. Melihat kondisi tersebut, menjadi tantangan bagi guru matematika bagaimana mengubah anggapan siswa-siswi tentang pelajaran matematika yang sulit dan kurang menyenangkan, khususnya di SMAN 2 Semau. Dengan kegiatan PKM ini, tim PKM mengaplikasikan software matematika dalam menyelesaikan soal soal matematika seperti materi Geometri, Statistika,aljabar diharapkan siswa dapat turut berperan menjadi lebih aktif . Sehingga saat mengikuti mata pelajaran matematika menjadi menyenangkan dan tidak bosan, tujuanya kegiatan PKM ini agar dapat meningkatkan pemahaman siswa dengan konsep yang benar dalam memahami matematika. Metode pembelajaran yang dinterapkan pada kegiatan PKM di SMAN 2 Semau Belajar matematika dengan Aplikasi Software Matematika. Manfaat lain kegiatan PKM tersebut untuk meningkatkan motivasi belajar siswa pada Pelajaran Matematika melalui pelatihan Software Geogebra, SPSS. Dengan Aplikasi Software Matematika, siswa/i lebih merasa tertarik dalam mempelajari matematika dan siswa tidak mudah merasa bosan dalam mempelajari matematika khususnya materi Statistika Geometri. Pada saat pelaksanaan kegiatan PKM, hasilnya siswa semua semangat dan tidak jenuh mengikuti kegiatan tersebut khususnya siswa-siswi di SMAN 2 Semau, Tim PKM menyampaikan dalam materi pembelajaran matematika dengan metode yang menarik dan asik yaitu melalui Software matematika disertai dengan game matematika.
LOGISTIC REGRESSION APPROACH TO STUDY PREGNANT WOMEN CASES AS A RISK FACTOR OF LBW AT THE BATAKTE PUBLIC HEALTH CENTER, KUPANG BARAT DISTRICT Ginting, Keristina Br; Putra, Ganesha Lapenangga
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 4 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss4pp1825-1834

Abstract

The research examines the influencing factors of low birth weight (LBW) in the work area of ​​the Batakte Public Health Center, Kupang Regency. The specific objective of this study is to identify the risk factors associated with the LBW. In parallel with the research objective, the hypothesis of this study is that there is a relationship among several maternal factors: age, education, number of children, birth spacing, chronic energy deficiency (CED), low hemoglobin in pregnant women, and the practice of antenatal care (ANC) during pregnancy. The sample in this study was some mothers who gave birth in 2020 and 2021, whose data were recorded. The results of the study show that the logistic models of the dominant parameters causing LBW cases are: 1. Pregnant women who experience CED have a risk of giving birth to babies with LBW: 2. The risk opportunities for pregnant women with low hemoglobin (below 11g/dl) is will give birth to a LBW baby: and 3. The risk of pregnant women who never or do not routinely perform ANC is about will give birth to a LBW baby. The results of parameter interpretation show that the dominant factor causing LBW cases in the work area of the Batakte Public Health Center is pregnant women who experience chronic energy deficiency conditions, low hemoglobin, and pregnant women who have never or only once done Antenatal care (ANC) in the work area of the Batakte Public Health Center.
Co-Authors Arista Marlince Tamonob Ariyanto . Ci Manu Damai Kusumaningrum Demetriana Kolo Elisabeth E. Wutun Febrianti Lapenangga Ganesha L Putra Gerda K Pakem Irvandi Gorby Pasangka Jeanete Y Nenabu Jusrry Rosalina Pahnael Kori Junita Tefbana Laura Erlinda Laidat Maria Agustina Kleden Maria F Muda maria trianita elina lele Marlina Marine Masrida Sinaga Ndii, Meksianis Z Nurahmi Purnamasari - Oktovianus Antonio Boleng Putra, Ganesha L. Rapmaida M Pangaribuan Rapmaida M Pangaribuan Rapmaida Megawaty Pangaribuan Resi, Edmund Ridwanto Alfian Robertus Dole Guntur Tamonob, Arista M. Yolanda Prapatmi Biha Zakarias Seba Ngara