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All Journal BIMASTER Desimal: Jurnal Matematika Jurnal SOLMA BAREKENG: Jurnal Ilmu Matematika dan Terapan JTAM (Jurnal Teori dan Aplikasi Matematika) JURTEKSI Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Minda Baharu Jurnal Matematika UNAND Jurnal Teknologi Dan Sistem Informasi Bisnis Jurnal Pijar MIPA Jurnal Sintak STATISTIKA Jurnal Tiyasadarma: Jurnal Pengabdian Kepada Masyarakat
Eko Sulistyono Sulistyono
Department Of Mathematics, Faculty Of Information Technology, Institut Teknologi Batam
Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

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Causality Model of Trading Variables Between Trading Volume, Bid-Ask Spreads, and Stock Return Volatility (Case Study: Bisnis-27 Index) Agung, Andi; Zaqiyah, Arfatuz; Rozikin, Muhammad; Wafa, Moh. Shohibul; Nuha, Agusyarif Rezka; Sulistyono, Eko
JURNAL SINTAK Vol. 3 No. 1 (2024): SEPTEMBER 2024
Publisher : LPPM-ITEBA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62375/jsintak.v3i1.317

Abstract

This research explores the causality model between trading volume, bid-ask spread, and stock return volatility in the business index-27. Utilizing historical data, Granger causality analysis is employed to determine the direction and strength of the relationships between these variables. The findings reveal significant causal relationships among trading volume, bid-ask spread, and stock return volatility. These findings offer valuable insights into understanding stock market dynamics and their implications for investment decision-making. Moreover,This article contains an analysis of the relationship between stock trading variables within the scope of two main hypothesis namely the mixture of distribution hypothesis (MDH) and the sequential information arrival hypothesis (SIAH). The calculation results identify that for most stocks there is a one way Granger causality relationship between trading volume and return volatility, which is not sufficient evidence to support the MDH theory.
UTILIZING DISCRETE HIDDEN MARKOV MODELS TO ANALYZE TETRAPLOID PLANT BREEDING Hayati, Nahrul; Sulistyono, Eko; Handayani, Vitri Aprilla
Jurnal Matematika UNAND Vol 13, No 4 (2024)
Publisher : Departemen Matematika dan Sains Data FMIPA Universitas Andalas Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jmua.13.4.244-256.2024

Abstract

In plant heredity, the phenotype is the result of observation that can be directly observed, while the genotype is the underlying hidden factor that underlies the expression of the phenotype. The genotype is an important aspect that needs to be understood to explain the pattern of trait inheritance and predict trait inheritance in subsequent generations. The discrete hidden Markov model is a model generated by pair of an unobserved Markov chain and an observation process. This model can be applied to tetraploid plant crosses by modeling genotypes as hidden state and phenotypes as the obeservation process. The probability of dominant phenotype in monohybrid, dihybrid and trihybrid crosses occurring over ten generations during that period is as follows 61,305%, 37,583%, and 23,041%. Furthermore, as more traits are crossed, the probability of dominant phenotype appearing within ten generations decreases. When the dominant phenotype occurs over ten generations, the same genotype can be obtained in monohybrid, dihybrid, and trihybrid crosses, which is heterozygous in the first and second generations, while from the third to the tenth generation it is homozygous dominant.
Analysis of International Tourist Visits Based on Nationality and Tourism Travel Characteristics Using Complete Linkage Handayani, Vitri Aprilla; Sulistyono, Eko; Arrafi, Adamsyam; Hayati, Nahrul
Statistika Vol. 25 No. 1 (2025): Statistika
Publisher : Department of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Islam Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/statistika.v25i1.5801

Abstract

Abstract. This research aims to analyze the characteristics of international tourists in Indonesia using Clustering Method: Complete Linkage. The study successfully identified 5 distinct clusters based on nationality and tourism travel characteristics. The analysis showed significant differences between clusters in terms of country of origin, travel patterns, preferences, expenditure, and tourist activities. Cluster 1 was dominated by ASEAN and Middle Eastern countries with stable visitation patterns influenced by geographical proximity and cultural and business relationships. Cluster 2 was the largest group, encompassing various countries with holiday and business tourism characteristics, longer stays, and higher expenditure. Clusters 3, 4, and 5 each consisted of a single country: Timor Leste, Hong Kong, and Papua New Guinea respectively, with unique visitation patterns. Each cluster showed differences in travel purposes, length of stay, expenditure, and activities of interest. A deep understanding of each tourist group’s characteristics was crucial for developing more targeted tourism marketing strategies. The clustering results could be utilized for infrastructure planning, resource allocation, promotional strategies, and service improvements tailored to each group’s characteristics, thereby enhancing tourist experiences and Indonesia’s overall tourism competitiveness.
The model of goods delivery using multi depot vehicle routing problem at PT X Sulistyono, Eko; Handayani, Vitri Aprilla; Reza, Widya; Islamiati, Dian
Desimal: Jurnal Matematika Vol. 6 No. 3 (2023): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v6i3.20062

Abstract

Vehicle Routing Problem (VRP) is a problem in shipping that focuses on distributing goods from a depot to customers. There are several developments from VRP, one of which is the Multi Depot Vehicle Routing Problem (MDVRP). The MDVRP model has the same goal as the VRP, which is to minimize travel costs. The difference between VRP and MDVRP depends on the depot used. In VRP, only one depot is used. Whereas in MDVRP, there is more than one depot used. This research discussed the delivery of goods to two depots. The aim of this research is to form a model for shipping goods using two depots, determine the total travel cost, and determine the optimal route to delivery of the goods. The data used in this research is secondary data. The result of this research is that the model for the MDVRP aims to minimize the total travel cost by using two depots and serving 10 customer locations. The total cost of the trip is IDR 390,000, with a total distance traveled as far as 300 km, and the optimal routes for delivering goods involve each depot making two trips. The first depot covers distances of 57 km and 48 km, and the second depot covers distances of 92 km and 103 km.
Peningkatan Kapasitas Pengolahan Data Penjualan dan Analisis Tren Pasar untuk Optimalisasi Strategi Bisnis di CV Sabila Craft Batam Handayani, Vitri Aprilla; Wibowo, Sadiq Ardo; Rahman, Taufiq; Anggraeni, Andini Setyo; Sulistyono, Eko; Hayati, Nahrul; Lunardi, Louis; Asikin, Nur
Jurnal SOLMA Vol. 14 No. 2 (2025)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v14i2.18357

Abstract

Pendahuluan: Program pengabdian ini bertujuan membantu CV. Sabila Craft Batam, perusahaan kerajinan yang belum memiliki sistem pencatatan dan analisis data penjualan yang terstruktur. Akibatnya, pengambilan keputusan bisnis masih bersifat intuitif. Kegiatan ini diharapkan mampu meningkatkan kemampuan perusahaan dalam mengelola data dan menganalisis tren pasar guna mendukung pengambilan keputusan yang lebih tepat. Metode: Pendekatan yang digunakan bersifat edukatif-partisipatif melalui pelatihan, pendampingan teknis, dan simulasi studi kasus. Peserta dilatih menggunakan perangkat lunak sederhana untuk pencatatan penjualan dan analisis data. Hasil: Terdapat peningkatan pemahaman dalam pencatatan dan analisis data. CV. Sabila Craft mulai membentuk sistem pencatatan yang lebih rapi serta strategi pemasaran berbasis data. Kesimpulan: Kegiatan ini berhasil meningkatkan keterampilan analisis data, sehingga CV. Sabila Craft lebih siap bersaing dan mengambil keputusan bisnis secara terukur.
Pelatihan Pengolahan Data Penjualan dan Analisis Tren Pasar Kuliner Seafood Khas Melayu di Kelong Arjam Mentarau Bertuah Hayati, Nahrul; Sulistyono, Eko; Anggraeni, Andini Setyo; Handayani, Vitri Aprilla; Sabarinsyah; Utami, Arli Magfirah; Putri, Tia Aura; Devikaduri, Laras
Jurnal SOLMA Vol. 14 No. 2 (2025)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v14i2.18605

Abstract

Background: Kelong Arjam Mentarau Bertuah, usaha kuliner seafood khas Melayu di Batam, menghadapi kendala dalam pengelolaan data penjualan dan analisis tren pasar yang masih dilakukan secara manual. Kegiatan Pengabdian kepada Masyarakat (PkM) ini bertujuan meningkatkan kapasitas mitra melalui pelatihan dan pendampingan berbasis teknologi, khususnya dalam pengolahan data penjualan dan analisis tren pasar, guna meningkatkan efisiensi dan daya saing usaha. Metode: Kegiatan ini dilaksanakan melalui metode pelatihan dan pendampingan, yang mencakup penggunaan aplikasi pengolahan data penjualan (Microsoft Excel), analisis tren pasar, serta simulasi bisnis untuk menguji berbagai skenario strategis. Hasil: Terjadi peningkatan signifikan dalam kemampuan mitra untuk mengelola data penjualan secara digital dan menganalisis tren pasar. Mitra berhasil mengidentifikasi produk favorit dan pelanggan favorit, serta meningkatkan laba bersih melalui simulasi pengurangan biaya operasional. Selain itu, mitra kini mampu merancang strategi pemasaran berbasis data, seperti promosi produk premium dan program loyalitas pelanggan. Kesimpulan: Kegiatan PkM ini berhasil mencapai target dengan meningkatkan efisiensi operasional dan strategi pemasaran mitra. Rekomendasi untuk kegiatan selanjutnya adalah pendampingan jangka panjang, pengembangan sistem loyalitas pelanggan, dan ekspansi pemasaran digital untuk memperluas jangkauan pasar. Dampak kegiatan ini diharapkan dapat menjadi model bagi pengembangan UMKM kuliner lainnya.
ARIMA (p, d, q) Modeling for Predicting Exports of Fresh and Chilled Fish Based on Market Conditions and Main Destination Countries : The Case of Indonesia 2012-2022 Handayani, Vitri Aprilla; Sulistyono, Eko; Sunarsono, Hery; Arafi, Adamsyam; Harahap, Diana Sari
Statistika Vol. 24 No. 1 (2024): Statistika
Publisher : Department of Statistics, Faculty of Mathematics and Natural Sciences, Universitas Islam Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/statistika.v24i1.3376

Abstract

ABSTRACT Fresh and chilled fish are the largest contributor to Indonesia's fishery product exports, accounting for a share of 45% or around USD 2.2 billion in 2021. The main destination countries for Indonesia's fresh and chilled fish exports include China, the United States, Japan, and other European countries. This research aims to analyze the factors influencing the export value of Indonesia's fresh and chilled fish, as well as to identify and evaluate the ARIMA (p, d, q) model based on historical data from 2012-2022. The result is an ARIMA (4,2,2) model with a MAPE value of 2.208 and a predicted value for the 2023 period of 4351 tons. This is in line with the large exports of fresh fish from Indonesia to various destination countries.
PENERAPAN FORMASI KURA-KURA TEMPURUNG BUAH KELAPA SE-BAGAI PENAHAN EROSI PANTAI DI KAMPUNG TERIH PULAU BATAM Sunarsono, Hery; Rahmiati, Sari; Sulistyono, Eko; PUTRA, DAVA RAIHAN; Lunardi, Louis
MINDA BAHARU Vol 9, No 1 (2025): Minda Baharu
Publisher : Universitas Riau Kepulauan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33373/jmb.v9i1.6949

Abstract

Pengabdian kepada Masyarakat (PkM) yang dilaksanakan bertujuan untuk pemahaman dan kesadaran masyarakat tentang masalah erosi pantai dan solusinya.Penahan erosi pantai dari tempurung kelapa adalah solusi ramah lingkungan yang memanfaat-kan limbah tempurung kelapa sebagai bahan utama yang jumlahnya melimpah dan hampir tidak memiliki nilai jual yang hanya dianggap sebagai sampah. Tempurung kelapa yang memiliki kekuatan dan ketahanan alami digunakan untuk mengurangi laju erosi akibat abrasi air laut. Teknik ini melibatkan penempatan tempurung kelapa yang disusun membentuk formasi kura-kura di sepanjang garis pantai yang rentan terhadap erosi. Selain itu, tempurung kelapa dapat digunakan bersama dengan vegetasi pantai untuk menambah stabilitas tanah. Tempurung kelapa dapat dijadikan pelindung serta media tanam pohon bakau, sebelum akhirnya pohon bakau akan tumbuh besar dengan akar yang menjulur dengan kuat. Akar tanaman pantai ini akan tumbuh di antara tempurung kelapa dan semakin memperkuat perlindungan terhadap erosi. Metode ini tidak hanya efektif secara ekologis, tetapi juga ekonomis karena menggunakan bahan yang mudah didapatkan dan murah, terutama di daerah tropis yang memiliki banyak kelapa. Selain itu, dengan sifat biodegradabilitas tempurung kelapa yang memungkinkan integrasi ke dalam lingkungan alam secara alami tanpa mencemari atau merusak ekosistem pantai. Keuntungan lain adalah mensukseskan program “carbon neutrality” dengan berkembangnya hutan bakau yang menjadi ekosisistem pesisir yang akan membantu dalam penyerapan karbon. Berdasarkan hasil evaluasi kegiatan dan pengamatan tim pengabdian, program pelatihan pembuatan formasi kura-kura dari tempurung kelapa telah memberikan manfaat nyata bagi masyarakat sasaran
Markov Chain Analysis of Bank Customer Migration: Implication for Financial Inclusion in Maritime Economies Hayati, Nahrul; Sulistyono, Eko; Gusrita, Rani
JTAM (Jurnal Teori dan Aplikasi Matematika) Vol 9, No 4 (2025): October
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jtam.v9i4.32121

Abstract

Objectives: This study analyzes customer migration patterns among five major banks (BCA, BNI, BRI, BSI, and Bank Mandiri) in Batam’s strategic maritime economic zone using a Markov Chain model to assess long-term market dynamics and financial inclusion implications. The research aims to quantify interbank transition probabilities, to identify key switching drivers, and to develop targeted policy recommendations. Methods: Using a quantitative descriptive-analytical approach, we collected structured questionnaires from 250 Batam Institute of Technology academic members, capturing historical bank transitions and 5-point Likert-scale evaluations of eight switching factors. These factors included ATM/branch proximity, administrative fees, mobile/internet banking service, salary/ scholarship payment linkages, promotions/rewards, interest rates, family/friend recommendations, and Sharia compliance. Data were analyzed via Markov Chain modeling to project steady-state distributions. Results: The transition matrix revealed BCA’s superior retention (85.1%) compared to peers, with steady-state projections showing market dominance (32.44%), followed by Bank Mandiri (26.51%) and BSI (26.39%). Salary linkages (mean score: 3.45) and ATM accessibility (3.16) emerged as primary retention drivers, while BCA’s digital services (3.40) and low fee perception (3.67) explained its competitive edge. Paradoxically, BSI capitalizes on institutional salary systems (4.27) despite moderate Sharia compliance ratings (2.87). Implications: Three key policy directions emerge: hybrid digital-physical banking for coastal communities, Islamic financial ecosystem development, and fee transparency regulations. The study advances Markov Chain applications in behavioral finance while providing SEZ-specific insights for inclusive banking strategies.
Optimizing Classroom Allocation using Markov Chain Model for Shifted Lecture Schedules Hayati, Nahrul; Sulistyono, Eko; Utami, Bulan Purnama
Jurnal Matematika UNAND Vol. 15 No. 1 (2026)
Publisher : Departemen Matematika dan Sains Data FMIPA Universitas Andalas Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jmua.15.1.17-29.2026

Abstract

This study aims to optimize classroom allocation for shift lecture schedules at the Batam Institut of Technology (ITEBA) using a Markov chain model. Classroom utilization data from the Odd and EVen Semesters of the 2024/2025 Academic Year were analyzed by defining four classroom usage states: occupied in the morning shift and vacant in the evening shift (OV), vacant in the morning shift and occupied in the evening shift (VO), occupied in both morning and evening shifts (OO), and vacant in both morning and evening shifts (VV). State transition analysis revealed patterns in classroom allocation dynamics between semesters, while steady-state analysis projected long term utilization. The results show a steady-state probability of 74.04% for the OO state (optimal utilization), but 15.48% of classrooms remain in the VV state (chronic underutilization). Based on these findings, the study recommends a classroom consolidation strategy based on complementary patterns, implementation of a digital reservation system, and optimization of single shift usage. This study concludes that the Markov chain model provides a scientific basis for strategic decision making in educational facility management.
Co-Authors Agung, Andi Agusyarif Rezka Nuha Alhamidi, Alhamidi Andri Azmul Fauzi Anggraeni, Andini Setyo Arafi, Adamsyam Arrafi, Adamsyam Arsyil Majiid Devikaduri, Laras Faradiba Nabillah Farda Auwalia Fiqri Ardi Azhari Garry Rusmadi Gusrita, Rani Handayani, Vitri Aprilla Handayani, Vitri Aprilla Harahap, Diana Sari Hazimah, Hazimah Hernando, Luki Islamiati, Dian Kevin Lunardi, Louis Nahrul Hayati Nur Asikin Paulina Octavia PUTRA, DAVA RAIHAN Putri, Tia Aura Rozikin, Muhammad Sabarinsyah, Sabarinsyah Sadiq Ardo Wibowo, Sadiq Ardo Sari Rahmiati Sunarsono, Hery Sunarsono, Hery Taufiq Rahman Utami, Arli Magfirah Utami, Bulan Purnama Vitri Aprilla Handayani Wafa, Moh. Shohibul Widya Reza Zaqiyah, Arfatuz