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All Journal Jurnal Gaussian JURNAL DERIVAT: JURNAL MATEMATIKA DAN PENDIDIKAN MATEMATIKA Journal of Mathematics Education and Application (JMEA) SIGMA: Jurnal Pendidikan Matematika Jurnal Sains Matematika dan Statistika AKSIOMA Jurnal Matematika Sains dan Teknologi BAREKENG: Jurnal Ilmu Matematika dan Terapan Teorema: Teori dan Riset Matematika Sainmatika: Jurnal Ilmiah Matematika dan Ilmu Pengetahuan Alam Jambura Journal of Mathematics Transformasi : Jurnal Pendidikan Matematika dan Matematika Variance : Journal of Statistics and Its Applications ILKOMNIKA: Journal of Computer Science and Applied Informatics Jambura Journal of Mathematics Education JAMBURA JOURNAL OF PROBABILITY AND STATISTICS Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Griya Journal of Mathematics Education and Application JES-MAT (Jurnal Edukasi dan Sains Matematika) MATHunesa: Jurnal Ilmiah Matematika Research in the Mathematical and Natural Sciences Research Review: Jurnal Ilmiah Multidisiplin Milang Journal of Mathematics and Its Applications PIJAR: Jurnal Pendidikan dan Pengajaran Jurnal Riset Mahasiswa Matematika Euclid Jurnal Ilmiah Ekonomi dan Manajemen Journal of Mathematics, Computation and Statistics (JMATHCOS) Bilangan: Jurnal Ilmiah Matematika, Kebumian dan Angkasa Algoritma: Jurnal Matematika, Ilmu Pengetahuan Alam, Kebumian dan Angkasa Limits: Journal of Mathematics and Its Applications Indonesian Journal of Computational and Applied Mathematics
Djihad Wungguli
UNIVERSITAS NEGERI GORONTALO
Agriculture, Biological Sciences & Forestry Humanities Astronomy Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Optimization of LightGBM Model with Bayesian Optimization for Malware Detection Kasim, Afrianto Pratama; Nasib, Salmun K.; Hasan, Isran K.; Wungguli, Djihad; Yahya, Nisky Imansyah
ILKOMNIKA Vol 7 No 1 (2025): Volume 7, Number 1, April 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/ilkomnika.v7i1.722

Abstract

Cyberattacks through malware on Android devices continue to rise, making accurate detection crucial. This research optimizes the LightGBM model using Bayesian Optimization to enhance accuracy and efficiency in detecting Android malware. A feature selection mechanism based on Attention Mechanism is applied to select the most relevant features for classification. The dataset used comes from the Canadian Institute for Cybersecurity (CIC) and consists of 17,804 Android applications, with a balanced distribution between malware and normal applications. The dataset is split into ratios of 80%:20%, 75%:25%, and 70%:30%. Feature selection reduces the number of features from 9503 to 300, 500, and 1000. The LightGBM model is then optimized with Bayesian Optimization to fine-tune parameters such as learning rate, number of iterations, and maximum number of leaves. The model's performance is evaluated using accuracy, precision, and recall metrics. Experimental results show that the model achieves 96,99% accuracy, 97,30% precision, and 96,70% recall with an 80%:20% dataset split and 1000 features. The combination of Attention Mechanism and Bayesian Optimization effectively improves processing efficiency without compromising performance.
Pemanfaatan Pelabelan Harmonis Graf Ular S_n Dalam Kriptografi Polialfabetik Tahir, Fauzia D.; Katili, Muh Rifai; Yahya, Nisky Imansyah; Wungguli, Djihad; Asriadi; Nurwan; Armayani Arsal
Jurnal Derivat: Jurnal Matematika dan Pendidikan Matematika Vol. 12 No. 2 (2025): Jurnal Derivat (Agustus 2025)
Publisher : Pendidikan Matematika Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/j.derivat.v12i2.7815

Abstract

This research discusses harmonious labeling on the snake graph  and its application in polyalphabetic cryptography. A harmonious labeling is an injective function from the set of vertices to the set of integers modulo , defined as . This function induces an edge labeling function . For each edge connecting vertices  and , the edge label is given by , producing distinct edge labels. This study presents the construction process of harmonious labeling on the snake graph , where  and . The results show that the snake graph satisfies the conditions for being harmoniously labeled since each edge receives a unique label. The vertex set of  is defined as  and the edge set as  The harmonious labeling on this graph is then applied in cryptography, particularly in forming a cipher table used as a key in the polyalphabetic encryption and decryption process. This approach enhances cryptographic security, as a single plaintext letter can be transformed into various ciphertext possibilities, thereby increasing encryption strength and complicating message decryption attempts by unauthorized parties.  Keywords: harmonious labeling, snake graph, cryptography, polyalphabetic cipher
Penerapan Ensemble K-modes Pada Pengelompokkan Kelurahan di Kota Gorontalo Berdasarkan Kecanduan Game Online Remaja Taufik, Mohamad Alfiransyah; Achmad, Novianita; Abdussamad, Siti Nurmardia; Wungguli, Djihad; Yahya, Nisky Imansyah
Griya Journal of Mathematics Education and Application Vol. 5 No. 2 (2025): Juni 2025
Publisher : Pendidikan Matematika FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/griya.v5i2.633

Abstract

The swift advancement of digital technology has resulted in a heightened frequency of online game usage among teenagers, raising concerns about potential addiction. This study aims to cluster urban villages in Gorontalo City based on the characteristics of online game addiction in adolescents, to support the formulation of more effective preventive policies. The method used is ensemble clustering with K-modes algorithm approach, which is effective for mixed numeric and categorical data. Data were obtained through a survey of adolescents aged 10-24 years in all urban villages, including indicators of lack of attention from close people, self-control, lack of activities, stress or depression, social environment, parenting, length of time playing online games, frequency of playing online games and many favorite online games. The clustering results obtained 3 optimum clusters, where cluster 1 consists of 7 neighborhoods, cluster 2 consists of 17 neighborhoods and cluster 3 consists of 26 neighborhoods. Cluster 1 is a group of neighborhoods with a low risk and addiction level, cluster 2 with a moderate tendency, and cluster 3 with a high tendency.
Optimasi Persediaan Beras menggunakan Integer Linear Programming untuk Mengatasi Ketidakpastian Pasokan Studi Kasus Bulog Gorontalo Daud, Sriwati M.; Panigoro, Hasan S.; Arsal, Armayani; Wungguli, Djihad
Jurnal Sains Matematika dan Statistika Vol 11, No 2 (2025): JSMS Juli 2025
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jsms.v11i2.36254

Abstract

Abstrak                                                                                                  Perum BULOG Gorontalo berperan dalam penyediaan beras untuk menjamin ketahanan pangan. Penelitian ini bertujuan untuk mengoptimalkan biaya persediaan yang meliputi pemesanan dan penyimpanan beras guna menghindari kelebihan stok yang meningkatkan biaya, dengan mempertimbangkan penyediaan pasokan. Metode yang digunakan adalah Integer Linear Programming (ILP) untuk menentukan keputusan pemesanan dan penyimpanan yang optimal, serta analisis sensitivitas untuk mentransmisikan perubahan parameter dampak terhadap solusi optimal. Hasil optimasi menunjukkan bahwa pendekatan ILP berhasil menurunkan biaya persediaan sebesar 17,6% per tahun, dari Rp 208.423.972 menjadi Rp 171.813.600. Analisis sensitivitas mengungkap bahwa perubahan permintaan dan pasokan pasokan sebesar 10% dapat menyebabkan solusi optimal menjadi tidak layak, sementara perubahan kapasitas pasokan dan biaya pembelian memiliki dampak yang lebih fleksibel terhadap hasil optimasi. Kata Kunci: Optimasi, Persediaan, Integer Linear Programming, Analisis Sensitivitas. Abstrak Perum BULOG Gorontalo memegang peranan penting dalam penyediaan beras untuk menjamin ketahanan pangan. Penelitian ini bertujuan untuk mengoptimalkan pemesanan dan penyimpanan beras guna mencegah terjadinya kelebihan stok yang dapat meningkatkan biaya, dengan mempertimbangkan ketidakpastian pasokan. Metode yang digunakan adalah Integer Linear Programming (ILP) untuk menentukan keputusan pemesanan dan penyimpanan yang optimal, serta analisis sensitivitas untuk mengevaluasi dampak perubahan parameter terhadap solusi optimal. Hasil optimasi menunjukkan bahwa pendekatan ILP berhasil menurunkan biaya persediaan sebesar 17,6% per tahun, dari Rp208.423.972 menjadi Rp171.813.600. Analisis sensitivitas menunjukkan bahwa perubahan ketidakpastian permintaan dan pasokan sebesar 10% dapat membuat solusi optimal tidak dapat dilaksanakan, sedangkan perubahan kapasitas pasokan dan biaya pembelian memiliki dampak yang lebih fleksibel terhadap hasil optimasi. Kata Kunci : Persediaan, Optimasi, Integer Linear Programming, Analisis Sensitivitas.
Prediksi Wisatawan Mancanegara di Indonesia Menggunakan Metode SARIMAX dengan Efek Variasi Kalender Libur Nasional Pakaya, Desya Neydi Putri; Achmad, Novianita; Hasan, Isran K; Wungguli, Djihad; Abdussamad, Siti Nurmardia
Jurnal Riset Mahasiswa Matematika Vol 4, No 6 (2025): Jurnal Riset Mahasiswa Matematika
Publisher : Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/jrmm.v4i6.34937

Abstract

Fluctuations in the number of foreign tourist arrivals often produce outlier values that can interfere with the accuracy of the forecasting model. This study uses a boxplot approach to detect outliers, followed by Natural Logarithm (ln) transformation as a treatment step. The Seasonal Autoregressive Integrated Moving Average with Exogenous Variables (SARIMAX) method is applied by considering three exogenous variables that show the effect of variations in the National Holiday calendar in the form of Nyepi Day, Idul Fitri Day and year-end holidays. The results of the analysis show that the three variables have a positive effect on the increase in the number of foreign tourist arrivals, where Nyepi Day makes the largest contribution compared to the other two holiday periods. Model 2 (0,1,1)(1,0,1)[12] was selected as the most optimal model based on the evaluation results of several models that have been compared. This model shows excellent performance, indicated by the Mean Absolute Percentage Error (MAPE) value of 3.75\% which indicates that the model has very high prediction accuracy. So that the SARIMAX model is effective in modeling and predicting the number of foreign tourist visits in Indonesia.
ANALISIS SISTEM ANTRIAN PADA BANK SULUTGO CABANG BINTAUNA MENGGUNAKAN MODEL ANTRIAN MULTI CHANNEL SINGLE PHASE Kintan Sakinah Kaluku; Nurwan Nurwan; Djihad Wungguli
JURNAL ILMIAH EKONOMI DAN MANAJEMEN Vol. 3 No. 7 (2025): Juli
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jiem.v3i7.5945

Abstract

. Proses antrian sering dijumpai dalam kehidupan sehari-hari di tempat tertentu, baik dalam skala kecil maupun besar dan memerlukan solusi yang optimal. Antrian sering terjadi dikarenakan banyak orang menginginkan layanan yang sama pada waktu yang bersamaan, sementara pada situasi itu proses pelayanan hanya dapat dilakukan satu persatu saja. Antrian pelayanan di bank adalah salah satu contoh permasalahan antrian, dimana bank merupakan suatu institusi penyelenggara layanan keuangan. Panjangnya antrian saat melakukan transaksi di bank yang menghabiskan banyak waktu seringkali menimbulkan ketidaknyamanan bagi nasabah. Unit Bank SulutGo Bintauna merupakan salah satu tempat Bank yang ramai dikunjungi oleh masyarakat. Terdapat dua teller dan satu customer service, sehingga model yang diterapkan saat ini yaitu multi channel single phase. Aturan pelayanan yang digunakan menurut urutan kedatangan nasabah menggunakan sistem FCFS/FIFO. Adapun tujuan dari penelitian ini adalah untuk menentukan hasil optimalisasi sistem antrian dan ukuran kinerja sistem antrian pada pelayanan teller Bank di Unit bank SulutGo Bintauna. Sistem antrian Multi Channel Single Phase digunakan karena hanya terdapat satu jenis pelayanan dan terdapat beberapa fasilitas pelayanan dalam sistem antrian tersebut. Hasil penelitian ini menunjukan bahwa ukuran kinerja selama lima hari diperoleh tingkat efisiensi kinerja dari ukuran steady state terpenuhi. Oleh karena itu, berdasarkan hasil penelitian ini, pelayanan teller pada unit Bank SulutGo Bintauna sudah optimal.
IMPLEMENTATION OF THE TAGUCHI METHOD WITH TRAPEZOIDAL FUZZY NUMBER IN THE TOFUPRODUCTION PROCESS Wungguli, Djihad; Isa, Jefri N.; Payu, Muhammad Rezky Friesta; Nurwan, Nurwan; Nasib, Salmun K; Junus, Stella
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 3 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss3pp1313-1324

Abstract

Indonesians consume more tofu every week, proving that it is one of the country's most well-liked and potential food ingredients. Therefore, several people benefit from this positive potential as a business opportunity and improve the quality of their products as part of a market competition strategy. This study uses the Taguchi method and fuzzy logic to optimize the multi-response characteristic tofu production process. These multi-responses include water and protein content, each of which has the characteristics of "nominal is best" and "larger is better". In this experiment, three independent variables were varied: soybean soaking time, soybean porridge boiling time, and tofu lump pressing time. The experimental design used is the orthogonal matrix L9. This study aims to determine the optimal combination of independent variables and determine the contribution of each varible to the multi-response of water content and protein content simultaneously. The findings indicated that soaking soybeans for 4 hours, boiling soybean porridge for 70 minutes, and pressing tofu lumps for 20 minutes are the ideal settings to produce optimal multi-response simultaneously. Additionally, the duration of soybeans soaking contributed 14,74%, the duration of boiling soybean porridge contributed 29,50%, and the duration of pressing lumps of tofu contributed 38,18% to the multi-response.
Pemodelan Regresi Robust dengan Estimasi Generalized-M untuk Penanganan Outlier pada Kasus Kusta di Indonesia Loleh, Linda Purnama Sari; Wungguli, Djihad; Rezky Friesta Payu, Muhammad; Nashar, La Ode
Griya Journal of Mathematics Education and Application Vol. 5 No. 3 (2025): September 2025
Publisher : Pendidikan Matematika FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/griya.v5i3.811

Abstract

which attacks the skin, peripheral nerves, and other body organs except the central nervous system. New leprosy cases with visible disabilities are classified as Grade 2 disabled leprosy. The number of Grade 2 disabled leprosy cases is an indicator used to show success in early detection of new leprosy cases. However, the leprosy data in Indonesia for 2023 contains outliers that can affect the results of linear regression analysis. To address this issue, this study utilizes the robust regression method of generalized-M estimation, which is an extension of M-estimation. The objectives of this study are to obtain a robust regression model using generalized-M estimation and to identify significantly influential variables. The research findings indicate that these factors have a significant simultaneous impact on the number of leprosy cases with grade 2 disability, and partially, the factor of access to basic sanitation facilities has an influence on the number of leprosy cases with grade 2 disability with an R^2 value of 73%, which can be explained by the predictor variables in this study. Meanwhile, 27% is explained by other predictor variables not included in this study. From these results, it is hoped that the efforts of the government and relevant agencies can improve access to basic sanitation facilities for the prevention and control of leprosy cases in Indonesia.
Klasifikasi Preferensi Mahasiswa dalam Pemilihan Laptop Menggunakan Analisis Diskriminan Kernel Gaussian Meilan Sigar; Lailany Yahya; Salmun K. Nasib; Nisky Imansyah Yahya; Djihad Wungguli
Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa Vol. 3 No. 5 (2025): Oktober : Bilangan : Jurnal Ilmiah Matematika, Kebumian dan Angkasa
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/bilangan.v3i5.804

Abstract

Rapid developments in information technology have made laptops an essential device for students, especially those in their final year of study. Choosing the right laptop plays an important role in supporting academic productivity, such as writing theses, analyzing data, and developing software. This study aims to classify the preferences of mathematics students at Gorontalo State University in choosing laptops based on usage characteristics and factors that influence purchasing decisions. The method used is Kernel Discriminant Analysis (KDA) with a Gaussian kernel function and an optimal bandwidth of 0.8. The research data involved 268 respondents divided into training and testing data. The analysis results show that the KDA model has an accuracy rate of 60% on the training data and 52% on the testing data, which indicates the model's ability to recognize student preference patterns despite a decrease in accuracy on new data. Based on the kernel density estimation results, Acer is the most widely used laptop brand, while Zyrex and Apple are rarely chosen. The most influential factor in purchasing decisions is processor specifications, with a contribution of 35.739%, followed by brand, warranty, and price. These findings indicate that hardware characteristics are the main consideration in laptop selection, with most students choosing laptops with Intel Core i5 processors, a minimum of 8GB of RAM, and SSD storage. The results of this study can also be used by universities to provide recommendations for selecting laptops that suit students' academic needs.  
Analisis Sensitivitas Model Goal Programming Pada Optimasi Produksi Roti Menggunakan Metode Branch and Bound Ahmad, Rindawati; Katili, Muhammad Rifai; Mahmud, Sri Lestari; Wungguli, Djihad; Nashar, La Ode
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.
Co-Authors Adisti Dayo Agusyarif Rezka Nuha Ahmad, Rindawati Alamri, Fahima Aliwu, Randa Resvitasari Alya Haja Amanda Adityaningrum Armayani Arsal Armayani Arsal Asriadi Asriadi Asriadi Asriadi Asriadi Asriadi, Asriadi B. P. SILALAHI Bertu Rianto Takaendengan Daud, Sriwati M. Dewi Rahmawaty Isa Dina Zulfiana Matiyeni Elsa Ekaputri Utina Fenly B Mohamad Fitria Djafar Frista Delia Ghivahri Sidik Mokoagow Hanz Franklyn Bachruddin Wewengkang Hasan S. Panigoro Ibrahim, Novita Isa, Jefri N. Ismail Djakaria Ismail Saputra R. Harmain Isran K Hasan K. Hasan, Isran K. Nasib, Salmun Karina Anselia Mamonto Karman Tambiyo Karmila Mokoginta Kasim, Afrianto Pratama Kintan Sakinah Kaluku Kurniasari Abram La Ode Nashar Lailany Yahya Latif, Sintia Abdul Lindrawati Abdjul Loleh, Linda Purnama Sari Mahmud, Sri Lestari Marukai, Nur Amalia Meilan Sigar Meldawati Moh. Rifai Katili Mohamad, Rini Wahyuni Mohammad Rifai Katili Muhammad Rezky F. Payu Muhammad Rezky F. Payu Muhammad Rifai Katili Nadhilah, Farhah Ni Luh Diyani Swarningsih Ningsih, Setia Nisky I. Yahya Nisky Imansyah Yahya NISKY IMANSYAH YAHYA Novarianti Firdaus Novianita Achmad Nteseo, Sutriany Nur Anggraini T. Ali Nur Dhea Wahab Nurhayati Abbas Nurwan Nurwan Nurwan Nurwan NURWAN NURWAN Nurwan, Nurwan Nurwan, Nurwan Nur’ain Manoppo Pakaya, Desya Neydi Putri Posangi, Tiara Rahim, Delvira Masita Rahmi, Emli Resmawan Resmawan Rifandi Pratama Putra Kasadi Rizal Usman S. GURITMAN Safrudin Ismail Salmun K. Nasib Salmun K. Nasib Sartika Husain Siraj, Suaib A Siti Nurmardia Abdussamad Sri Maryam Mohungo Stella Junus Suaib A. Siraj Sutriany Nteseo Syafrudin, Marisa Tahir, Fauzia D. Taufik, Mohamad Alfiransyah Taulia Damayanti Ulfa Is. Abdul Ulfania Liputo Vidya Avianti Hadju Wahdania A.T. Ja’a Wakiden, Yuliyani Windra Tahir Yahya, Nisky Imansyah Yulianti Arbie