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All Journal JURNAL ILMIAH MATEMATIKA DAN TERAPAN BAREKENG: Jurnal Ilmu Matematika dan Terapan Dinamisia: Jurnal Pengabdian Kepada Masyarakat JTAM (Jurnal Teori dan Aplikasi Matematika) Sainmatika: Jurnal Ilmiah Matematika dan Ilmu Pengetahuan Alam Jambura Journal of Mathematics Jurnal Matematika UNAND Jurnal Statistika dan Aplikasinya Indonesian Journal of Applied Research (IJAR) JAMBURA JOURNAL OF PROBABILITY AND STATISTICS Jurnal Diferensial Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Griya Journal of Mathematics Education and Application Journal of Science and Technology Journal of Mathematics: Theory and Applications Pattimura International Journal of Mathematics (PIJMath) Jurnal Riset Mahasiswa Matematika
La Ode Nashar
Prodi Statistika, Fakultas Matematika Dan IPA, Universitas Negeri Gorontalo
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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Analisis Sensitivitas Model Goal Programming Pada Optimasi Produksi Roti Menggunakan Metode Branch and Bound Rindawati Ahmad; Muhammad Rifai Katili; Sri Lestari Mahmud; Djihad Wungguli; La Ode Nashar
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi EULER: Volume 11 Issue 2 December 2023
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v11i2.22299

Abstract

Sya'qila Bakery is a manufacturing industry that produces bread in five flavor variants. The planning carried out by Sya'qila Bakery in the bread production process is considered suboptimal due to the limitation in the quantity of production for each flavor variant, resulting in occasional shortages of raw materials. Additionally, the order production process requires a long total completion time (makespan), resulting in delays in production completion (meaning tardiness). This research aims to optimize the total completion time, the average lateness, the use of raw materials, and production revenue. In this research, the Goal Programming model is utilized with the Branch and Bound method. The analysis results with the Goal Programming model using the Branch and Bound method obtain an optimal solution, which includes an excess of 36 minutes in total completion time (makespan), an excess of 6 minutes in average lateness (mean tardiness), no excess in the availability of raw materials, and zero sales revenue shortfall. Sensitivity analysis results indicate that bread production at Sya'qila Bakery will remain optimal if changes occur in the production completion time, production delay time, and raw material availability, as long as these changes remain within their tolerance limits.
Optimization the Management of Tihu Village Resources to Increase the Income of Village Communities: Optimalisasi Pengelolaan Sumber Daya Desa Tihu untuk Meningkatkan Penghasilan Masyarakat Desa La Ode Nashar Nashar; Novianita Achmad Novianita; Nisky Imansyah Yahya Nisky
Dinamisia : Jurnal Pengabdian Kepada Masyarakat Vol. 7 No. 5 (2023): Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/dinamisia.v7i5.13290

Abstract

Geographically Tihu village is located on the coast where the majority of its residents work as fishermen. Skipjack tuna is a type of fish that is abundant in Tihu village. The habit of fishermen distributing their catch to consumers causes the economic value of sales to be less than optimal. Processing skipjack tuna into shredded fish and nuggets will support the increased income of the society of Tihu village. This society service provides training to the Tihu village society to make floss, nuggets and coconut cookies according to BPOM standards as well as packaging and online marketing method. This training was carried out so that the Tihu village society could optimize their natural resources to increase their income.
Utilizing the Welch-Powell Algorithm and the IDO (Incident Degree Ordering) Algorithm in Traffic Light Settings Latif, Sintia Abdul; Nurwan; K. Hasan, Isran; Achmad, Novianita; Wungguli, Djihad; Nashar, La Ode
Sainmatika: Jurnal Ilmiah Matematika dan Ilmu Pengetahuan Alam Vol. 21 No. 1 (2024): Sainmatika : Jurnal Ilmiah Matematika dan Ilmu Pengetahuan Alam
Publisher : Universitas PGRI Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31851/sainmatika.v21i1.9630

Abstract

The road junction needs some help with the timing of traffic lights. One method for optimizing crossroads traffic light settings is using a graph approach that applies a vertex coloring algorithm. The Welch-Powell and IDO (Incident Degree Ordering) algorithms are used to solve this problem. This case study covers two crossroads, namely: the crossroads of Prof. Dr. H.B. Jassin, Jenderal Sudirman Street, and the crossroads of Prof. Dr. H.B. Jassin, Palma, Sarini Abdullah Street. The result showed that the Welch-Powell and IDO algorithms used for vertex coloring produced XG=3 chromatic numbers for Prof. Dr. H.B Jassin, Jenderal Sudirman Street, and XG=4 for Prof. Dr. H.B Jassin, Palma, and Sarini Abdullah Street. New data shows that green-light efficiency increases by 23.85% and red-light efficiency decreases by 19.26% for crossroads of three, and new data at crossroads of four shows that data in the field is more effective than new data.
Perbandingan Metode K-Means Clustering dengan Self-Organizing Maps (SOM) untuk Pengelompokan Provinsi di Indonesia Berdasarkan Data Potensi Desa Iyohu, Lisa Rianti; Ismail Djakaria; La Ode Nashar
Jurnal Statistika dan Aplikasinya Vol 7 No 2 (2023): Jurnal Statistika dan Aplikasinya
Publisher : Program Studi Statistika FMIPA UNJ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JSA.07208

Abstract

K-Means is a method of grouping data into several different groups so that data that has similar characteristics is made into one group while data that has different characteristics is made into a different group, where this method works by minimizing the distance between the data and the cluster center. In addition to K-Means clustering, there is also the Self Organizing Maps (SOM) method which is an undirected method, meaning that layers consisting of neurons are arranged into groups based on input values, where each data grouping process is based on the characteristics or features of the data. Clustering is carried out in Provinces in Indonesia based on village potential data in 2021 with the aim of knowing the performance comparison of K-Means clustering and Self Organizing Maps (SOM). Determination of the optimal number of clusters is carried out using the Elbow method, the results in the study obtained 3 clusters for both K-Means clustering and Self Organizing Maps (SOM). The clustering results are evaluated using the Davies Bouldin Index (DBI) value and show that clustering using the Self Organizing Maps (SOM) method provides better results than using the K-Means clustering method where the DBI value is 0.1829366. The clustering results using the Self Organizing Maps (SOM) method for cluster 1 consist of 31 province members, cluster 2 consists of 1 province member and cluster 3 consists of 2 province members.
Analisis Peluang Jangka Panjang Mesin Penggilingan Padi Menggunakan Rantai Markov Nasib, Salmun K.; Hasan, Riyanto; Djakaria, Ismail; Payu, Muhammad Rezky Friesta; Nuha, Agusyarif Rezka; Nashar, La Ode
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.v12i1.25280

Abstract

The reliability of the machinery greatly affects the long-term potential of the grinding of pepper in Mustika village, Paguyaman district, and Boalemo district. The smoothness of the production process depends heavily on the condition of the machine, and if the machine's reliability is disrupted, then it will affect production. The purpose of this study is to determine the probability of the steady state of the machine and the timing of the maintenance of the grinding machine in the Mustika Village of Boalemo district. The Markov chain is a method used to deal with the purpose, whereas the Markov chain is the method used for predicting future events. The final result was an ergodic transition chance matrix, resulting in an estimated best maintenance time of 28 days of use with a steady state chance of 62.27\% of the machine being in good condition, 27.8\% in mild damage, and 9.93\% in severe damage.
Sistem Dinamik Penyebaran Coronavirus Disease Dengan Mempertimbangkan Vaksinasi Rasyid, Kamelia; Achmad, Novianita; Nuha, Agusyarif Rezka; Resmawan, Resmawan; Mahmud, Sri Lestari; Nashar, La Ode; Asriadi
JURNAL ILMIAH MATEMATIKA DAN TERAPAN Vol. 20 No. 2 (2023)
Publisher : Program Studi Matematika, Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/2540766X.2023.v20.i2.16326

Abstract

Coronavirus Disease (COVID-19) adalah jenis penyakit menular yang disebabkan oleh coronavirus jenis baru yang ditemukan pada tahun 2019 yang selanjutnya disebut Sars-Cov 2 (severe acute respiratory syndrome coronavirus 2). Tujuan penelitian ini adalah membangun model matematika, penentuan titik tetap, mencari analisis kestabilan titik tetap, menentukan nilai bilangan reproduksi dasar membuat simulasi model, dan interpretasi biologis. Hasil analisis terhadap dua titik tetap diperoleh titik kesetimbangan bebas penyakit akan stabil asimtotik apabila R0 < 1, sedangkan titik kesetimbangan endemik akan stabil asimtotik apabila R0 > 1. Selanjutnya, untuk mengilustrasikan dinamika penyebaran penyakit dilakukan simulasi numerik yang memberikan interpretasi bahwa peningkatan pemberian vaksin adalah cara yang bisa dilakukan untuk mengurangi penyebaran penyakit COVID-19.
Implementation of K-Nearest Neighbor Algorithm on Density-Based Spatial Clustering Application with Noise Method on Stunting Clustering Friansyah Gani; Hasan S. Panigoro; Sri Lestari Mahmud; Emli Rahmi; Salmun K. Nasib; La Ode Nashar
JURNAL DIFERENSIAL Vol 6 No 2 (2024): November 2024
Publisher : Program Studi Matematika, Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jd.v6i2.16278

Abstract

This paper studies the implementation of the K-Nearest Neighbor (KNN) algorithm on Density-Based Spatial Clustering Application with Noise (DBSCAN) method on stunting Clustering in the eastern region of Indonesia in 2022. The DBSCAN method is used because it is more efficient to perform the Clustering process for irregular Clustering shapes. The main objective of this study is to apply the KNN algorithm to the DBSCAN Clustering technique in 161 Districts/Cities in 11 provinces in eastern Indonesia. A comparison of the performance evaluation of the DBSCAN Clustering technique is done by considering the value of the Silhouette score, BetaCV score, and Davies-Bouldin score indicating the quality of the Clusters formed with the lowest results scores of 0.67 and 1.84 with epsilon value = 3.4 and minimum point value = 2 resulting in 4 Clusters. The results of Clustering 161 Districts and Cities based on the factors that cause stunting formed 4 Clusters where Cluster 0 consists of 119 Districts and Cities with very high stunting characteristics, Cluster 1 consists of 3 Districts and Cities with high stunting characteristics, the results of Cluster 2 consist of 2 Districts and Cities with low stunting characteristics, then the results of Cluster 2 consist of 2 Districts and Cities with low stunting characteristics and Cluster 3 consists of 2 Cities with very low stunting characteristics.
Penerapan Metode I-CHAID Menggunakan SMOTE pada Data Tidak Seimbang untuk Klasifikasi Durasi Studi Mahasiswa Akor, Umar D.; Payu, Muhammad Rezky Fiesta; Nashar, La Ode
Jambura Journal of Mathematics Vol 7, No 1: February 2025
Publisher : Department of Mathematics, Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjom.v7i1.27978

Abstract

The issue of delayed graduation is often encountered in various universities, including in the Statistics Study Program at Universitas Negeri Gorontalo, for graduates between 2018 and 2023. Among them, 162 students (76.5%) experienced delayed graduation, and 5 students (2.35%) dropped out. This delay in graduation is caused by various factors, necessitating a classification method capable of identifying the most dominant factors. The classification method used in this research is Improved Chi-Square Automatic Interaction Detection (I-CHAID) with the Synthetic Minority Oversampling Technique (SMOTE) approach. SMOTE is employed to address imbalanced data. Based on the I-CHAID classification tree with the SMOTE approach, the significant factors influencing the duration of study completion are the GPA in the fifth semester (67.2%) and the mentoring method (87.5%). As for the classification performance from the 40% testing data, the accuracy achieved was 40.6%, meaning that out of 32 samples, 13 were correctly classified. The sensitivity value was 6.25%, indicating the success rate of classifying data for students who graduated on time. The specificity value was 75%, showing the success rate in classifying data for students who did not graduate on time. The precision value was 20%, reflecting the accuracy of predicting students who actually graduated on time, and the F-measure was 9.52%, indicating the balance between precision and sensitivity.
Determination of Premium Price for Rice Crop Insurance in Gorontalo Province Based on Rainfall Index with Black Scholes Method Ana Nadiyyah; Emli Rahmi; Salmun K. Nasib; Agusyarif Rezka Nuha; Nisky Imansyah Yahya; La Ode Nashar
Pattimura International Journal of Mathematics (PIJMath) Vol 3 No 2 (2024): Pattimura International Journal of Mathematics (PIJMath)
Publisher : Pattimura University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/pijmathvol3iss2pp51-62

Abstract

With its complex topography, Gorontalo Province experiences significant rainfall variations that impact the agricultural sector, particularly rice crops. These variations can cause substantial losses for farmers. One way to address uncertain probabilities caused by rainfall is through agricultural insurance. This research aims to calculate the value of agricultural insurance premiums based on the rainfall index. The Black- Scholes method is used to calculate the premiums, while the Burn Analysis method is employed to determine the rainfall index. The research results classify the rainfall index values in Gorontalo Province into 7 (seven) percentiles. The lowest is at the 20th percentile, with 17.37 mm and a premium value of IDR 1,574,190, while the highest is at the 80th percentile, with 17.65 mm and a premium value of IDR 2,154,574. This indicates that the higher the rainfall, the greater the premium to be paid.
Perbandingan FTS Ruey Chyn Tsaur dan Saxena Easo Dalam Meramalkan Kunjungan Wisatawan Mancanegara Di Bali Ulopo, Asrul S; Djakaria, Ismail; Nashar, La Ode; Hasan, Isran K; Asriadi, Asriadi
Jurnal Riset Mahasiswa Matematika Vol 4, No 5 (2025): Jurnal Riset Mahasiswa Matematika
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/jrmm.v4i5.33304

Abstract

Provinsi Bali merupakan destinasi wisata utama di Indonesia yang setiap tahunnya menarik jutaan wisatawan mancanegara. Kunjungan wisatawan mancanegara di Provinsi Bali Januari sampai Juli 2024 menyambut kedatangan 3.538.899 wisatawan mancanegara, menunjukkan peningkatan signifikan sebesar 22,18% dibandingkan periode yang sama pada tahun sebelumnya. Peningkatan jumlah kunjungan tersebut menjadi indikator penting dalam pengembangan sektor pariwisata sekaligus penopang utama perekonomian daerah. Oleh karena itu, peramalan jumlah kunjungan wisatawan mancanegara di Bali menjadi langkah strategis untuk mendukung perencanaan dan pengambilan kebijakan yang efektif serta pengelolaan destinasi yang berkelanjutan. Penelitian ini bertujuan untuk membandingkan akurasi metode Fuzzy Time Series Ruey Chyn Tsaur dan Fuzzy Time Series Saxena Easo dalam meramalkan jumlah kunjungan wisatawan mancanegara di Bali. Data yang digunakan merupakan data sekunder dari Badan Pusat Statistik selama periode Januari 2005 hingga Desember 2024. Hasil penelitian menunjukkan bahwa FTS Ruey Chyn Tsaur memiliki tingkat akurasi yang lebih tinggi dengan nilai MAPE sebesar 5,544%, dibandingkan dengan FTS Saxena Easo yang menghasilkan MAPE sebesar 8,9256%. Kedua metode termasuk dalam kategori sangat akurat karena nilai MAPE yang diperoleh berada di bawah 10%. Evaluasi model terbaik menunjukkan bahwa pendekatan tersebut menghasilkan nilai MAPE sebesar 6,811%.
Co-Authors Agusyarif Rezka Nuha Akor, Umar D. Ana Nadiyyah Asriadi Asriadi Asriadi Asriadi Brahim, Annisa Maharani Chasanah, Sri Istiyarti Uswatun Dewi Rahmawaty Isa Dina Fakhriyana Djihad Wungguli Fadilah Istiqomah Pammus Friansyah Gani Hasan S. Panigoro Hasan, Riyanto Hasibuan, Lilis Harianti Herlina Jusuf Ismail Djakaria Isran K Hasan Iyohu, Lisa Rianti K. Hasan, Isran Karina Anselia Mamonto LA ODE SABRAN Ladjali, Sri Indriani Lailany Yahya Latif, Sintia Abdul Lindrawati Abdjul Loleh, Linda Purnama Sari Mahmud, Sri Lestari Muhammad Rezky F. Payu Nisky Imansyah Yahya NISKY IMANSYAH YAHYA Novianita Achmad Nurwan Nurwan Nurwan Nurwan Nurwan NURWAN NURWAN Nurwan Nurwan Rahman, Gusti Arviana Rahmi, Emli Rasyid, Kamelia Resmawan Resmawan Rianjaya, Ilham Dangu Rindawati Ahmad Sabran, La Ode Salmun K. Nasib Salmun K. Nasib Sartika Sari Dewi Sri Lestari Mahmud SRIRAPI H LIHAWA Sugito Mahendra Imran Syarif Abdullah Tedy Machmud Ulopo, Asrul S Valentika, Nina Zian Bula