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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 TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics International conference on Information Technology and Business (ICITB) Annual Research Seminar Proceeding of the Electrical Engineering Computer Science and Informatics JPSriwijaya Science and Technology Indonesia Demography Journal of Sriwijaya Jurnal Penelitian Sains Jurnal Komputer Terapan BAREKENG: Jurnal Ilmu Matematika dan Terapan MATAPPA: Jurnal Pengabdian Kepada Masyarakat Teorema: Teori dan Riset Matematika QARDHUL HASAN: MEDIA PENGABDIAN KEPADA MASYARAKAT Jurnal Pengabdian Magister Pendidikan IPA INSIST (International Series on Interdisciplinary Research) Imajiner: Jurnal Matematika dan Pendidikan Matematika 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 Griya Journal of Mathematics Education and Application 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 Papanda Journal of Mathematics and Sciences Research Aksi Kita: Jurnal Pengabdian Kepada Masyarakat
Fitri Maya Puspita
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 Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Neuroscience Physics Public Health Social Sciences Transportation Other

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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.
Optimasi Keuntungan Produksi Kue Kering Nastar dan Semprit Menggunakan Metode Simpleks dan Aplikasi POM-QM Putri, Nadine Aliza; Puspita, Fitri Maya; Octarina, Sisca
Imajiner: Jurnal Matematika dan Pendidikan Matematika Vol 8, No 1 (2026): Imajiner: Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/imajiner.v8i1.25497

Abstract

Usaha kue kering rumahan "Dapur Ma’Ina" menghadapi persaingan ketat dan keterbatasan alokasi bahan baku harian, sehingga sulit menentukan kombinasi produksi yang tepat untuk memaksimalkan keuntungan. Penelitian ini bertujuan untuk mengaplikasikan program linier guna menghitung kombinasi produksi optimal kue nastar dan semprit yang memberikan keuntungan maksimum. Metode yang diaplikasikan adalah Program Linier dengan penyelesaian menggunakan perhitungan manual Metode Simpleks dan divalidasi menggunakan perangkat lunak POM-QM, menggunakan data primer berupa resep, ketersediaan bahan, dan keuntungan dari usaha "Dapur Ma’Ina". Hasil perhitungan menunjukkan keuntungan maksimal yang dapat diperoleh adalah sebanyak Rp 1.050.000, dengan kombinasi produksi optimal yang disarankan adalah 3 resep Nastar dan 2 resep Semprit. Bagi peneliti berikutnya, dianjurkan untuk mengembangkan penelitian ini dengan menyertakan variabel kendala lain seperti waktu produksi atau tenaga kerja. The home-based pastry business 'Dapur Ma'Ina' faces tight competition and limited daily raw material allocation, making it difficult to determine the right production combination to maximize profit. This research aims to apply linear programming to calculate the optimal production combination of nastar and semprit cakes that yields maximum profit. The method used is Linear Programming, solved using manual Simplex Method calculations and validated using POM-QM software, utilizing primary data including recipes, material availability, and profit from the 'Dapur Ma'Ina' business. The calculation results show that the maximum achievable profit is Rp 1,050,000, with the optimal production combination recommended being 3 Nastar recipes and 2 Semprit recipes. For future researchers, it is suggested to expand this research by adding other constraint variables, such as production time or labor.
Penerapan programming metode simpleks dalam penjadwalan produksi multi-produk dengan analisis sensitivitas Warda Hafizah; Sisca Octarina; Fitri Maya Puspita
Papanda Journal of Mathematics and Science Research Vol. 5 No. 1 (2026): Volume 5 Nomor 1 Maret 2026
Publisher : Papanda Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56916/pjmsr.v5i1.3068

Abstract

Production scheduling in the multi-product manufacturing industry faces increasingly complex challenges related to the allocation of limited resources such as raw materials, machine hours, and labor. In the era of industry 4.0, operational efficiency is a key determinant of competitiveness, yet many medium-scale industries still rely on intuitive methods that fail to capture the multidimensional trade-offs of production. This study, designed as a simulative case study, aims to apply the linear programming approach using the simplex method to determine the optimal product combination that maximizes profit and to perform a deep sensitivity analysis to evaluate resource resilience within a conceptual manufacturing environment. The simplex algorithm is processed iteratively to reach the optimal solution, followed by sensitivity analysis to identify binding constraint and calculate shadow price. The results indicate that the optimal production composition generated by the simplex model is capable of increasing projected profits 22,4% compared to the conventional heuristic method. Furthermore, sensitivity analysis reveals that machine hours constitute a critical resource (scarce) with a significant positive shadow price, providing a concrete managerial recommendation to prioritize capacity expansion in that sector over labor expansion. It is concluded that the simplex method provides a robust, measurable, and adaptable basis for strategic decision-making in production operations amidst market fluctuations
OPTIMASI MIX PRODUKSI TOKO ROTI CHEN BAKERY DENGAN MENGGUNAKAN METODE LINEAR PROGRAMMING BERBASIS LINGO Muhammad Naufal Farras; Sisca Octarina; Fitri Maya Puspita
Jurnal Komputer Terapan Vol 12 No 1 (2026): Jurnal Komputer Terapan
Publisher : Politeknik Caltex Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35143/jkt.v12i1.6840

Abstract

Small and Medium Enterprises (SMEs), like "Chen Bakery," often struggle with figuring out the best way to plan their daily production to make the most profit. There is a gap in research because not enough use mathematical models and computer tools to help with these decisions. This study tries to help "Chen Bakery" make more money each day by finding the best amounts to produce four main products—Sweet Bread, Sugar Donut, Mini Pizza, and Chocolate Pull-Apart Bread—while taking into account how much of the main ingredients they have and how much space is available in the oven. The method used is called Linear Programming, and it was set up and solved using LINGO 20.0 software. The results show that by planning production better, the bakery can make 24.7% more profit than it does now. LINGO software works well to find the best solutions and also helps understand how changes might affect the results, making it a useful tool for small business owners.
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.
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.
Teori Dualitas Lagrange dalam Optimasi Non-Linier: Tinjauan Naratif dari Perspektif Analisis Geometris Modern Aprilia Rahmawati; Sisca Octarina; Fitri Maya Puspita
Griya Journal of Mathematics Education and Application Vol. 6 No. 2 (2026): Juni 2026
Publisher : Pendidikan Matematika FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/griya.v6i2.1044

Abstract

Lagrangian duality theory constitutes a fundamental framework in nonlinear optimization analysis, connecting primal problems with dual problems through the Lagrange function. This article presents a comprehensive narrative review of Lagrangian duality theory development from the perspective of modern geometric analysis. We explore the geometric structure of primal-dual spaces, Karush-Kuhn-Tucker (KKT) optimality conditions, and strong and weak duality theorems in the context of constrained optimization. The discussion encompasses geometric interpretations of saddle points, convexity in duality theory, and the duality gap as a solution quality measure. Furthermore, we analyze theoretical applications from functional analysis and topology perspectives, including the role of reflexive Banach spaces and Fréchet differentiability in characterizing optimal solutions. The findings demonstrate that geometric approaches provide profound insights into optimization problem structures and open new perspectives in numerical algorithm development. This review contributes to a more robust theoretical understanding of the mathematical foundations of nonlinear optimization and its relevance in contemporary applied mathematics.
Optimasi Keuntungan Produksi Kue Kering Nastar dan Semprit Menggunakan Metode Simpleks dan Aplikasi POM-QM Putri, Nadine Aliza; Puspita, Fitri Maya; Octarina, Sisca
Imajiner: Jurnal Matematika dan Pendidikan Matematika Vol 8, No 1 (2026): Imajiner: Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/imajiner.v8i1.25497

Abstract

Usaha kue kering rumahan "Dapur Ma’Ina" menghadapi persaingan ketat dan keterbatasan alokasi bahan baku harian, sehingga sulit menentukan kombinasi produksi yang tepat untuk memaksimalkan keuntungan. Penelitian ini bertujuan untuk mengaplikasikan program linier guna menghitung kombinasi produksi optimal kue nastar dan semprit yang memberikan keuntungan maksimum. Metode yang diaplikasikan adalah Program Linier dengan penyelesaian menggunakan perhitungan manual Metode Simpleks dan divalidasi menggunakan perangkat lunak POM-QM, menggunakan data primer berupa resep, ketersediaan bahan, dan keuntungan dari usaha "Dapur Ma’Ina". Hasil perhitungan menunjukkan keuntungan maksimal yang dapat diperoleh adalah sebanyak Rp 1.050.000, dengan kombinasi produksi optimal yang disarankan adalah 3 resep Nastar dan 2 resep Semprit. Bagi peneliti berikutnya, dianjurkan untuk mengembangkan penelitian ini dengan menyertakan variabel kendala lain seperti waktu produksi atau tenaga kerja. The home-based pastry business 'Dapur Ma'Ina' faces tight competition and limited daily raw material allocation, making it difficult to determine the right production combination to maximize profit. This research aims to apply linear programming to calculate the optimal production combination of nastar and semprit cakes that yields maximum profit. The method used is Linear Programming, solved using manual Simplex Method calculations and validated using POM-QM software, utilizing primary data including recipes, material availability, and profit from the 'Dapur Ma'Ina' business. The calculation results show that the maximum achievable profit is Rp 1,050,000, with the optimal production combination recommended being 3 Nastar recipes and 2 Semprit recipes. For future researchers, it is suggested to expand this research by adding other constraint variables, such as production time or labor.
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 Adinda Putri Ramadhany, Adinda Putri Ahmadi, Adik Anggi Nurul Pratiwi Ani Sahara Br. Simanjuntak Aprilia Rahmawati Arden Naser Yustian Simarmata Armalia, Divasanda Aryani, Robeah Ayu Nursafitri Ayu Wulandari Bahok M. Taib, Bahok M. Bambang Suprihatin Bella Arisha Bella Juwita Rezky Darmawijoyo, Darmawijoyo Des Alwine Zayanti, Des Alwine Desta Wahyuni Destia Maharani Dewi Lisandra Dian Wahyuni Diyaz Rachmaningtyas Eka Susanti Elisa Nurnawati Endro Setyo Cahyono, Endro Setyo Evi Yuliza, Evi Fadhila Chaniago, Redina An Ferani Eva Zulvia Fidella Oktariana Fitra Nur Azizah Frisca Frasilia Haryati Pane Helmayanti, Rizky Hernanda, Eggyana Deri Icha Puspita Novyasti Iffah Husniah Indrawati Indrawati Indrawati Inosenisus Nadeak Inosensius Nadeak Irmeilyana Ismail Abdullah, Ismail Juniwati Juniwati Kurniadi, Elika Laila Hanum Malica Putri Amdes Meiza Putri Lestari Muhammad Naufal Farras Muthia Ulfa Nadia Zuliaty Syaputri Nadia Zuliaty Syaputri Ning Eliyati Novi Rustiana Dewi Novita Sari Nuraini, Anggun Oki Dwipurwani Oky Sanjaya Pebriyanti Simanjuntak Pratiwi, Weni Dwi Putra Bahtera Jaya Bangun, Putra Bahtera Jaya Putra BJ Bangun, Putra BJ Putri, Nadine Aliza Qatrunnada, Dhiya Rachmaningtiyaz, Diyaz Rahayu Tamy Agustin Rahayu, Fridha Aprisa Rahmadia, Putri Rama Dani, M Ardi Ramadhan, Ahmad Farhan Rani Elekta Togatorop Reza Andeka Rima Melati Rindarto, Ahmad Rizki, Krisda Robinson Sitepu Rohania Rohania Sabana, Aprilia Nur Sarjani, Ita Shintya Apriliyani Simarmata, Ruth Helen Sisca Octarina Siti Suzlin Supadi Somakim, Somakim Sri Erlita Sri Erlita Supadi, Siti Suzlin Tampubolon, Farah Nabilah Tasiah, Mawar Tri Handayani Ulandari, Mazida Venty Warda Hafizah Wenny Herlina Yolanda Fitria YUNITA Yunita Yunita Yunita Yunita Yusuf Hartono