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RUTE TERPENDEK UNTUK PENGANGKUTAN SAMPAH DENGAN PENDEKATAN LINTASAN HAMILTON Syamsyida Rozi; SYAMSYIDA ROZI; CUT MULTAHADAH
E-Jurnal Matematika Vol 10 No 2 (2021)
Publisher : Mathematics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MTK.2021.v10.i02.p330

Abstract

This research is related to the route of picking up the waste which done by janitors in housing complex of Aur Duri Indah Rt.14 Jambi considering the condition of that housing which have some crossroads, such that janitors take the same road twice which seems inefficient in terms of time and fuel consumption. This research is aimed to identify scientifically about the shortest and more efficient route which should be taken by janitors. This problem is considered as optimization problem through graph modelling. To check the efficient route, the existence of Hamiltonian Path of the graph is identified by using Depth-First Search method, and so is the shortest path. It is found that there are 39 Hamiltonian paths and the shortest path has total distance of 793.8 meter. By the existence of the shortest Hamiltonian Path, it is confirmed that janitors in housing complex of Aur Duri Indah Rt.14 can travel each road once with total distance is about 793.8 meter.
SOSIALISASI KLUSTERISASI DERAJAT KESEHATAN MASYARAKAT DI KABUPATEN MUARO JAMBI BERDASARKAN METODEANALISIS GEROMBOL NON-HIERARKI DI KANTOR KECAMATAN JAMBI LUAR KOTA KABUPATEN MUARO JAMBI Syamsyida Rozi; Cut Multahadah; Fitratul Aini; Gusmanely Z; Corry Sormin
IHSAN : JURNAL PENGABDIAN MASYARAKAT Vol 3, No 1 (2021): Ihsan: Jurnal Pengabdian Masyarakat (April)
Publisher : University of Muhammadiyah Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/ihsan.v3i1.6626

Abstract

Derajat Kesehatan masyarakat yang dilihat berdasarkan nilai Indeks Pembangunan Kesehatan masyarakat (IPKM) merupakan salah satu faktor dalam peningkatan pembangunan manusia di suatu wilayah. Salah satu  indikatornya yaitu angka gizi buruk bayi dan balita (stunting), yang saat ini sedang menjadi perhatian di kecamatan Jambi Luar Kota. Perhitungan derajat kesehatan yang dilakukan selama ini berdasarkan rata- rata seluruh indikator atau distribusi data. Selain itu terdapat permasalahan terkait konsistensi data dan kurangnya informasi dalam setiap indikator. Solusi dari permasalahan ini dilakukan melalui data mining. Data Mining dapat digunakan untuk menggali informasi tersembunyi dari kumpulan data yang multidimensi dengan K-means dalam metode cluster analysis non hierarki. Menurut penyuluh pada kecamatan Jambi Luar Kota, pendataan bayi dan balita selama ini berdasarkan data dari posyandu dan dikelompokkan berdasarkan berat badan dan tinggi badan. Tapi belum secara jauh mampu mengkluster tingkat stunting di desa-desa di kawasan kecamatan Jambi Luar Kota, sehingga pengklasteran angka stunting perlu dilakukan. Dengan melakukan pengklasteran metode K-Means diharapkan mempermudah para penyuluh untuk mengumpulkan informasi mengenai kondisi stunting pada bayi dan balita di kecamatan Jambi Luar Kota dan hasil pengklusteran dapat dijadikan dasar dari penentuan kebijakan untuk mengatasi masalah stunting pada bayi dan balita.
ANALISIS KLASIFIKASI AKREDITASI SMA/MA BERDASARKAN FAKTOR-FAKTOR YANG MEMPENGARUHI SE PROVINSI JAMBI DENGAN RLTOG: ANALISIS KLASIFIKASI AKREDITASI SMA/MA BERDASARKAN FAKTOR-FAKTOR YANG MEMPENGARUHI SE PROVINSI JAMBI DENGAN RLTOG Cut Multahadah
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 19 No. 1 (2018): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (531.325 KB) | DOI: 10.24036/eksakta/vol19-iss1/116

Abstract

Pemerintah melalui Kementrian Pendidikan Nasional memberi perhatian lebih bagi dunia pendidikan untuk melakukan penilaian-penilaian terhadap mutu pendidikan di sekolah khususnya Sekolah Menengah (SMA/MA) di Provinsi jambi. Kementrian Pendidikan Nasional yang dibantu oleh Badan Akreditasi Nasional Sekolah Menengah (BAN-SM) memberikan pengkategorian yang terdiri atas kategori A artinya sangat baik, B artinya baik dan kategori C artinya cukup. Adapun komponen yang mempengaruhi antara lain , (1) standar isi, (2) standar proses, (3) standar kompetensi lulusan, (4) standar pengelolaan, (4) standar pendidik dan tenaga kependidikan, (5) standar sarana dan prasarana, (6) standar pengelolaan, (7) standar pembiayaan dan (8) standar penilaian. Setiap komponen/ faktor ada yang memberi pengaruh dominan diantara yang lainnya. Untuk itu perlu dimodelkan dengan Model RLOTG yang merupakan model gabungan antara Model Regresi Logistik Ordinal dengan Model Regresi Terpengaruh Wilayah. Model ini adalah analisis hubungan antara peubah respon dalam kategori ordinal dengan peubah prediktor dengan mempertimbangkan titik lokasi pengamatan dari setiap observasi. Selanjutnya menentukan faktor-faktor RLOTG yang mempengaruhi tingkat akreditasi pada setiap SMA/MA di Provinsi Jambi dan dilanjutkan mendeskripsikan peta keragaman spasial dari setiap peubah, koefisien peubah yang nyata pada akreditasi SMA/MA se Provinsi Jambi.Hasil penelitian memberikan gambaran bahwa semua peubah preiktor berpengaruh secara nyata pada tingkat akreditasi sebuah sekolah. Model RLOTG yang dihasilkan sudah cukup baik, dengan nilai likelihood G=20.61 dan ketepatan klasifikasi menggunakan uji CCR senilai 94%.
Analysis of Non Hierarchical Bomb for Collection of Community Health Degrees in Jambi and Muaro Jambi City Yelli Ramalisa; Azzikra Febriyanti; Cut Multahadah
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 20 No. 1 (2019): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (764.818 KB) | DOI: 10.24036/eksakta/vol20-iss1/167

Abstract

This research purpose to investigate the community health degree in Jambi and Muaro Jambi City using a non-hierarchical cluster. This method based on community health building indicators with 22 sub-districts, eleven in Jambi City and 11 in Muaro Jambi district. The results was basically 22 sub-districts in Jambi City and District. Muaro Jambi already has a fairly good IPKM value, such as South Jambi sub-district, Red Paal, Jambi Market and Teluk Danau based on analysis of hierarchical bomb.
Development of COVID-19 Case in District and City of Jambi Province with Exponential Smoothing Methode Sherli Yurinanda; Cut Multahadah; Reni Aryani
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 21 No. 2 (2020): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (912.289 KB) | DOI: 10.24036/eksakta/vol21-iss2/244

Abstract

Jambi Province is one of the province in western Indonesia, which was affected by COVID-19 in March and until mid-September the number confirmed positive reached 345 people. Until now COVID-19 has become a pandemic.Based on this data, it is necessary to predict the number of COVID-19 in Jambi Province, including every district in Jambi city. Double exponential smoothing: The Holt two-parameter method determines the value of the trend with a tang parameter different from the parameter used in the original series. The principle of forecasting using multiple exponential smoothing: The Holt two-parameter method uses two smoothing constants with values between 0 and 1. Based on the results of forecasting using the double exponential smoothing by Holt method, it can be seen that the number of confirmed cases of Covid-19 in each region in Jambi Province continues to increase. This case is estimated to increase to 352 people in mid-October.
Health Belief Model of Jambi City Community Against Covid-19 Vaccination with Structural Equation Modeling (SEM) Method Sherli Yurinanda; Cut Multahadah; Susi Marisa
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 23 No. 01 (2022): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1044.765 KB) | DOI: 10.24036/eksakta/vol23-iss01/290

Abstract

The community's HBM (Health Belief Model) analysis of the COVID-19 vaccination needs to be done. This perceived threat assessment is based on perceived vulnerability and seriousness. Judgments to behave in response to perceived threats are also influenced by cues to action. Variables that cannot be explained directly or variables that require explanation from other variables are called latent variables. Latent variables consist of exogenous and endogenous variables. This study aims to analyze the public health belief model of the city of Jambi towards COVID-19 vaccination with the structural equation modeling (SEM) method. The results showed that the health belief model for COVID-19 vaccination in Jambi City, vaccination actions were significantly influenced by perceptions of benefits and barriers. Perceived benefits and barriers were significantly affected by perceived severity and seriousness and then perceived severity and seriousness were significantly influenced by cues to action. However, demographics including age, occupation, income and beliefs in this study did not significantly influence a person to vaccinate. The proposed model can be accepted based on the goodness of fit indicator
Pelatihan Pembelajaran Matematika Berbasis Android untuk Memecahkan Masalah Matematika Pada MGMP Matematika Kabupaten Muaro Jambi Sherli Yurinanda; Syamsyida Rozi; Cut Multahadah
I-Com: Indonesian Community Journal Vol 2 No 2 (2022): I-Com: Indonesian Community Journal (Agustus 2022)
Publisher : Fakultas Sains Dan Teknologi, Universitas Raden Rahmat Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (330.347 KB) | DOI: 10.33379/icom.v2i2.1568

Abstract

Program pengabdian kepada masyarakat (PPM) merupakan salah satu wujud dari Tridharma Perguruan Tinggi. Berdasarkan hasil observasi,  Guru MGMP Matematika Wil IV Kab. Muaro Jambi  yang menjumpai siswa lebih dominan menggunakan android untuk bermain. Pada kenyataannya android dapat dimanfaatkan sebagai media untuk belajar matematika agar lebih mudah salah satunya melalui aplikasi yaitu Mathway versi Web. Untuk itu Tema PPM ini yaitu Pelatihan Pembelajaran Matematika Berbasis Android untuk Memecahkan Masalah Matematika di Bidang Aljabar Pada MGMP Matematika Kab. Muaro Jambi. Kegiatan ini  dilakukan secara daring melalui platform ZOOM. Metode pelaksanaannya berupa pendekatan tentang rencana program dan pelaksanaan. PPM ini dilaksanakan tanggal 27 November 2021 dengan jumah peserta 25 orang. Setelah melaksanakan kegiatan PPM ini,  para peserta yang berpartisipasi sangat antusias dan 95% peserta pelatihan merasa software berbasis android lebih mudah diperoleh, diaplikasikan serta bisa membantu memahami pelajaran di sekolah.  
Training For Improving Students Mathematics Ability by Using SOWISO Application Rosi Widia Asiani; Cut Multahadah; Susi Marisa; Hairini Hairini
Pelita Eksakta Vol 5 No 2 (2022): Pelita Eksakta Vol. 5 No. 2
Publisher : Fakultas MIPA Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/pelitaeksakta/vol5-iss2/183

Abstract

The learning situation after the COVID-19 pandemic has not fully recovered. Mathematics learning, especially at the tertiary level, is carried out using a blended learning model, namely some learning is carried out face-to-face and partly online. Therefore, adequate learning media or applications are needed so that learning can take place optimally. One of the media that can be used as a solution to this problem is the Sowiso application. The sowiso application is a media in the form of a digital book that is equipped with exercises so that it is possible to improve students' mathematical concept understanding skills. Therefore, a training was held with the theme "Improving Students' Mathematical Concept Ability by Using the Sowiso Application".
Model Pembelajaran Berbasis Proyek pada Mata Kuliah Metode Optimisasi di Program Studi Matematika Fakultas Sains dan Teknologi Universitas Jambi Niken Rarasati; Syamsyida Rozi; Cut Multahadah
Jurnal Absis: Jurnal Pendidikan Matematika dan Matematika Vol. 4 No. 2 (2022): Jurnal Absis
Publisher : Program Studi Pendidikan Matematika Universitas Pasir Pengaraian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30606/absis.v4i2.1172

Abstract

This study aims to confirm the effectiveness of implementing the project-based learning (PjBL) model. The results of this study show that applying the PjBL model to the optimization method course has efficacy in terms of positive responses to learning participation according to the outcomes that need to be met at each meeting increase. As many as 100% of student studies show that learning a musical instrument in the form of materials and task plans can stimulate learning and curiosity in students. Additionally, 98% of students said they were delighted with the project assignments, and 2% said they were burdened with their tasks. Ninety percent of students said group work helped them complete a particular project, and 5% of students said they disagreed with their group assignments. In addition to the questionnaire, the effectiveness of implementing the PjBL model can be seen from the written exam results and the given project assignments. These are cumulative to the final value of the optimization technique course. That means 71% of students get an A. 17% A- and 10% B+. The value indicates that the optimization techniques course is very successful, and no student fails while working with the PJBL model
PENERAPAN METODE GEOGRAPHICALLY WEIGHTED REGRESSION PADA TINGKAT PENCEMARAN AIR BERDASARKAN TOTAL COLIFORM DI PROVINSI JAMBI Fitriyani Fitriyani; Sherli Yurinanda; Cut Multahadah
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.v4i1.305

Abstract

The purpose of this study is to obtain a local estimation model formed by considering spatial factors on the level of water pollution based on total coliforms in Jambi Province and can determine the most dominant factors affecting the total coliform water of PDAM Districts / Municipalities in Jambi Province using Geographically Weighted Regression (GWR) analysis. The type of data used in this study is primary data in quantitative form. This primary data was obtained by taking PDAM water samples directly in 9 regencies/cities in Jambi Province. The results of GWR analysis show that the dominant factors affecting the total coliform of PDAM water in each district/city in Jambi Province vary with different estimated parameters. The best model formed is a model with the GWR method, the adaptive bisquare weighting function which is shown from the value of the model's goodness criteria, namely the smallest AIC value and the largest coefficient of determination