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All Journal International Journal of Electrical and Computer Engineering International Journal of Informatics and Communication Technology (IJ-ICT) International Journal of Advances in Applied Sciences CAUCHY: Jurnal Matematika Murni dan Aplikasi Bulletin of Electrical Engineering and Informatics Annual Research Seminar Science and Technology Indonesia Demography Journal of Sriwijaya Jurnal Penelitian Sains BAREKENG: Jurnal Ilmu Matematika dan Terapan Teorema: Teori dan Riset Matematika QARDHUL HASAN: MEDIA PENGABDIAN KEPADA MASYARAKAT Jurnal Pengabdian Magister Pendidikan IPA Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat INSIST (International Series on Interdisciplinary Research) Jurnal Gema Ngabdi Jurnal Pengabdian Masyarakat Sains Indonesia (Indonesian Journal Of Science Community Services) Indonesian Journal of Electrical Engineering and Computer Science Journal of Applied Science, Engineering, Technology, and Education Jurnal Pengabdian dan Edukasi Sekolah (Jubaedah) International Journal of Science and Society (IJSOC) Uninus Journal of Mathematics Educations and Science (UJMES) Jurnal Pepadu Jurnal Pendidikan dan Pengabdian Masyarakat Jurnal Matematika Integratif Aksi Kita: Jurnal Pengabdian Kepada Masyarakat Limits: Journal of Mathematics and Its Applications JMA
Evi Yuliza, Evi
Universitas Sriwijaya
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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Proyeksi Penduduk Provinsi Sumatera Selatan Dengan Metode Aritmatika dan Geometri Serta Rasio Ketergantungan Ekonomi Indrawati; Evi Yuliza; Eka Susanti; Tia Amelia
Jurnal Matematika dan Aplikasi Vol. 1 No. 2 (2025): Desember-Februari
Publisher : Jurnal Matematika dan Aplikasi

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

Abstract

Penelitian ini bertujuan untuk memproyeksikan penduduk Provinsi Sumatera Selatan menggunakan metode aritmetika dan metode geometri. Data yang digunakan adalah data penduduk pada tahun 2010 dan 2015. Hasil proyeksi penduduk Provinsi Sumatera Selatan pada tahun 2020 menurut metode aritmetika sebesar 8.722.436 jiwa, sedangkan menurut metode geometri sebesar 9.591.379 jiwa. Berdasarkan perhitungan Mean Absolut Percentage Eror (MAPE), metode terbaik untuk proyeksi populasi Provinsi Sumatera Selatan pada tahun 2030 adalah metode geometri dengan hasil proyeksi sebesar 8.181.701 jiwa. Rasio ketergantungan populasi Provinsi Sumatera Selatan pada tahun 2030 sebesar 53%, artinya 100 orang usia produktif menanggung 53 orang usia non-produktif.
Financing model for demand response information services with bundled incentives Yuliza, Evi; Puspita, Fitri Maya; Rahayu, Fridha Aprisa
International Journal of Advances in Applied Sciences Vol 14, No 4: December 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v14.i4.pp1229-1240

Abstract

This study attempts to build a new model for information service financing schemes by considering utility functions to measure heterogeneous consumer satisfaction. This model was developed by involving a combination of reverse charging, demand response, and heterogeneous incentive models, and considering the quality of user service measured by a quasi-linear utility function against the information service financing scheme. The incentive financing scheme is applied to a local data server, including traffic during peak hours and off-peak hours. This internet incentive financing model is solved using the LINGO 13.0 application. Furthermore, the development model for incentive financing for information services based on demand response and bundling in the information service financing scheme is subjected to sensitivity analysis with the aim of identifying parameters that affect model performance. Based on the analysis that has been done, the results of this study indicate that the new model in the incentive financing scheme for information services with a quasi-linear utility function involving a combination of reverse charging, demand response, and heterogeneous incentive models produces an optimal solution in a fixed cost financing scheme for data traffic usage during peak hours and off-peak hours.
The Bender’s decomposition model to optimize temporary waste disposal sites based on general algebraic modeling system Sisca Octarina; Fitri Maya Puspita; Endro Setyo Cahyono; Evi Yuliza; Pebriyanti Simanjuntak; Siti Suzlin Supadi
Indonesian Journal of Electrical Engineering and Computer Science Vol 41, No 2: February 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v41.i2.pp666-679

Abstract

Waste constitutes a substantial problem in urban and residential locales, as the volume of refuse escalates in tandem with population increase, deteriorating community quality of life. One solution to this problem is to provide temporary waste disposal sites (TWDS). This research discussed optimizing TWDS in the Sukarami Subdistrict, Palembang City, which consists of seven villages. The current TWDS in the Sukarami Subdistrict is irregular, with some sites located close together and others far apart. The optimization problem is solved by formulating the set covering problem (SCP) model, namely the set covering location problem (SCLP), the p-Median problem, and the Bender’s decomposition model. All models were solved using the general algebraic modeling system (GAMS) software. The research introduces a Bender’s decomposition model based on the SCLP model. The Sukarami Subdistrict has 29 TWDS located in only five villages. Using the SCLP and Bender’s decomposition models, the study identified 19 optimal TWDS in the Sukarami Subdistrict. Based on the solution of the p-Median problem, there are seven TWDS that can meet each village’s demand. This study recommends the optimal TWDS obtained from the Bender’s decomposition model. Additionally, two TWDS are recommended to be added, each in Sukodadi and Talang Betutu villages.
Optimization of Palm Oil Distribution Routes Using the Saving Matrix Approach and Genetic Algorithm on Capacitated Vehicle Routing Problem Evi Yuliza; Yuli Andriani; Indrawati Indrawati; Sisca Octarina; Diah Putri Ramadani
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 10, No 2 (2025): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v10i2.36371

Abstract

The transportation of goods and services is a strategic issue in logistics systems, particularly in the palm oil industry. One of the key distribution optimization challenges is the Capacitated Vehicle Routing Problem (CVRP), which involves determining optimal distribution routes while considering vehicle capacity constraints. This study aims to identify the shortest distribution routes for transporting fresh oil palm fruit bunches from collection points to the palm oil mill, with the goal of minimizing total vehicle travel distance. A heuristic approach using the Saving Matrix method and a metaheuristic approach using a Genetic Algorithm were applied separately to two regions: Block P and Block Q, each consisting of 14 collection points with daily distribution schedules. The performance of both algorithms was analyzed and compared in the context of region-based distribution.The results show that the Genetic Algorithm yields more optimal solutions than the Saving Matrix, reducing the total travel distance by 33.92% in Block P and 32.81% in Block Q. In comparison, the Saving Matrix achieved reductions of 38.72% in Block P and 35.25% in Block Q. These findings indicate that the Genetic Algorithm performs better in solving CVRP for the distribution of fresh oil palm fruit bunches and can serve as a foundation for developing more efficient distribution systems using heuristic and metaheuristic approaches
Pengelolaan Penanaman Bayam Brazil Pada Tanah Tandus Secara Matematika dengan Menggunakan Eco-Enzyme Fitri Maya Puspita; Venty; Tri Handayani; Reza Andeka; Fidella Oktariana; Destia Maharani; Dewi Lisandra; Ayu Nursafitri; Laila Hanum; Evi Yuliza; Sisca Octarina; Yolanda Fitria
Aksi Kita: Jurnal Pengabdian kepada Masyarakat Vol. 1 No. 4 (2025): JULI-AGUSTUS
Publisher : Indo Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63822/xmh3gt88

Abstract

Penanaman Bayam Brazil (Alternanthera sissoo) di lahan kritis seperti tanah tandus dan rawan banjir memerlukan pendekatan pengelolaan yang inovatif. Penelitian ini membahas strategi pengelolaan berbasis eco-enzyme yang dikombinasikan dengan pemodelan matematika untuk mengoptimalkan pertumbuhan dan hasil tanaman. Eco-enzyme hasil fermentasi limbah organik, terbukti meningkatkan kesuburan dan retensi air tanah. Dalam praktiknya, pengelolaan dilakukan melalui persiapan tanah, aplikasi dosis eco-enzyme yang terukur, serta evaluasi pertumbuhan tanaman secara berkala. Evaluasi menunjukkan peningkatan pertumbuhan dan hasil tanaman secara signifikan. Penelitian ini menunjukkan bahwa pengelolaan berkelanjutan berbasis matematika dan teknologi bio-organik seperti eco-enzyme dapat menjadi solusi adaptif terhadap perubahan iklim dan degradasi lahan.
- Heterogeneous Fleet Vehicle Routing Problem dan Penyelesaiannya Menggunakan Metode Nearest Neighbor : Kasus Pendistribusian Ayam Potong Evi Yuliza; Novi Rustiana Dewi; Sisca Octarina; Indrawati Indrawati
Limits: Journal of Mathematics and Its Applications Vol. 23 No. 2 (2026): Limits: Journal of Mathematics and Its Applications Volume 23 Nomor 2 Edisi Ju
Publisher : Pusat Publikasi Ilmiah LPPM Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/limits.v23i2.8956

Abstract

Distribution of goods using a heterogeneous fleet of vehicles is an important aspect in a logistics system because it affects distribution efficiency. This study aims to determine the optimal distribution route for broiler chickens using the Heterogeneous Fleet Vehicle Routing Problem (HFVRP) model to minimize the total vehicle mileage. The data used include customer locations, number of requests, vehicle capacity, heterogeneous vehicle types, and distances between locations. The problem is modeled in HFVRP by considering vehicle capacity, each customer is visited exactly once, and vehicles depart and return to the depot. The solution is carried out using the Nearest Neighbor method to generate distribution routes and compared with the optimal solution from the HFVRP model. The results show a total mileage of 88.6 km for the Nearest Neighbor method, while the optimal solution from the HFVRP model produces a total mileage of 121.2 km. Based on these results, the Nearest Neighbor method provides a more efficient route solution in the case of broiler chicken distribution.
Multi-criteria optimization of emergency unit allocation using COPRAS and SMART: a case study in Palembang Evi Yuliza; Fitri Maya Puspita; Indrawati Indrawati; Sisca Octarina; Frisca Frasilia
International Journal of Informatics and Communication Technology (IJ-ICT) Vol 15, No 3: September 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijict.v15i3.pp1419-1430

Abstract

Increasing living standards and instant eating patterns have improved people's demands for quality health services. Hospitals as health service facilities are actually real-time networks that expected to be able to provide effective and efficient services. This research uses the complex proportional assessment (COPRAS) and simple multi-attribute rating technique (SMART) methods to determine the hospital with the most optimal emergency unit (EU) services in each subdistrict based on predetermined criteria. The research results show that the COPRAS method is produces performance index values ranging from 0.0195 to 0.1317, while the SMART method yields scores between 0.054 and 0.122, both demonstrating consistent ranking outcomes. The three hospitals, with the most optimal EU performance are Dr. Mohammad Hoesin, RSU Pertamina, and RSJ Ernaldi Bahar, with Dr. Mohammad Hoesin achieving the highest utility value (0.1317). The novelty of this study lies in the integration of real-time spatial and operational data from Google Maps and RS Online into a hybrid set covering problem (SCP) framework, combining the strengths of COPRAS and SMART.
Probabilistic inventory modeling for chlorine gas using minitab and python: a comparative study of demand distributions Oki Dwipurwani; Fitri Maya Puspita; Siti Suzlin Supadi; Evi Yuliza
International Journal of Informatics and Communication Technology (IJ-ICT) Vol 15, No 3: September 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijict.v15i3.pp1026-1037

Abstract

The availability of chlorine gas (Cl2) is a critical component in the drinking water disinfection process at the regional drinking water company (PDAM), as it plays a vital role in ensuring microbiological safety. Disruptions in the chlorine gas supply may lead to interruptions in water distribution and pose significant public health risks. This study investigates the application of a probabilistic (Q, r) inventory model for managing chlorine gas stock, incorporating several probability distributions that satisfy the underlying model assumptions. The resulting optimal inventory policies derived from each distribution are then compared. Chlorine gas demand forecasting is also performed using the seasonal autoregressive integrated moving average (SARIMA) model. The objective of this research is to generate an optimal inventory policy and accurate demand forecasts, with the entire implementation carried out in Python software. The results show that the best model obtainis the SARIMA (0,1,0)(0,1,1)12 model, with a MAPE value of 5.48%, and that the chlorine gas demand data follow normal, gamma, exponential, and erlang probability distributions. The comparison results show that the optimal policy of the gamma probabilistic model provides the best results, as well as being better than Normal and exponential policies in previous studies.
Co-Authors Adik Ahmadi Adinda Putri Ramadhany, Adinda Putri Ahmadi, Adik Alfensi Faruk Ali Amran Aprilia Nur Sabana Arden Naser Yustian Simarmata Armalia, Divasanda Aryani, Robeah Ayu Nursafitri Ayu Wulandari AYU WULANDARI Bambang Suprihatin Bela Olivia Mareta Silaen Bella Juwita Rezky Desta Wahyuni Destia Maharani Dewi Lisandra Diah Putri Ramadani Dian Wahyuni Diyaz Rachmaningtiyaz Diyaz Rachmaningtyas Eka Susanti Eka Susanti Elisa Nurnawati Endro Setyo Cahyono, Endro Setyo Fadhila Chaniago, Redina An Fidella Oktariana Fitri Maya Puspita Fitri Maya Puspita Fitri Maya Puspita Fitri Maya Puspita Fitri Maya Puspita Frisca Frasilia Helmayanti, Rizky Hernanda, Eggyana Deri Indrawati Indrawati Indrawati Indrawati Indrawati Indrawati Indrawati Indrawati Jaya Bangun Jurnal Pepadu Laila Hanum Malica Putri Amdes Maya Puspita, Fitri Muthia Ulfa Nadia Zuliaty Syaputri Ning Eliyati Novi Rustiana Dewi Nur ‘Azah Nuraini, Anggun Oki Dwipurwani Oki Dwipurwani Pebriyanti Simanjuntak Pratiwi, Weni Dwi Putra Bahtera Putra Bahtera Jaya Bangun, Putra Bahtera Jaya Putra BJ Bangun, Putra BJ Qatrunnada, Dhiya Rachmaningtiyaz, Diyaz Rahayu, Fridha Aprisa Rahmadia, Putri Ramadhan, Ahmad Farhan Rani Elekta Togatorop Resmadona Reza Andeka Rindarto, Ahmad Rizki, Krisda Robinson Sitepu Rohania Rohania Rohania Rohania Sabana, Aprilia Nur Sarjani, Ita Sisca Octarina Siti Suzlin Supadi Supadi, Siti Suzlin Tampubolon, Farah Nabilah Tasiah, Mawar Tia Amelia Tri Handayani Triyani Triyani Ulandari, Mazida Venty Wenny Herlina Weny Herlina Yolanda Fitria Yuli Andriani Yuni Kartika YUNITA Yunita Yunita Yunita Yunita Yusuf Hartono