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All Journal Jurnal Ilmu Komputer dan Agri-Informatika Jurnal Ilmiah Kursor Prosiding SNATIKA Vol 01 (2011) Agrokreatif Jurnal Ilmiah Pengabdian kepada Masyarakat Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Supply Chain Management QARDHUL HASAN: MEDIA PENGABDIAN KEPADA MASYARAKAT Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika EKOLOGIA : Jurnal Ilmiah Ilmu Dasar dan Lingkungan Hidup CCIT (Creative Communication and Innovative Technology) Journal Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming JISA (Jurnal Informatika dan Sains) Charity : Jurnal Pengabdian Masyarakat International Journal of Business, Economics, and Social Development International Journal of Research in Community Services Operations Research: International Conference Series International Journal of Global Operations Research International Journal of Quantitative Research and Modeling International Journal of Ethno-Sciences and Education Research
Eneng Tita Tosida
Universitas Pakuan
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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The Application of Dynamic Simulation for Determining Competitive Sales Strategies of Cassava Chips Using iThink Falleryan, Muhammad; Juanito, Axel; Nurcahya, Dimas; Tosida, Eneng Tita; Subandi, Kotim; Sugara, Victor Ilyas
International Journal of Global Operations Research Vol. 6 No. 2 (2025): International Journal of Global Operations Research (IJGOR), May 2025
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v6i2.377

Abstract

This study aims to determine sales strategies for cassava chips through a dynamic simulation approach using iThink software. The simulation is used to model the factors influencing sales performance, such as fluctuations in raw material prices, operational costs, and market demand patterns. By employing a CLD (Causal Loop Diagram) model and dynamic simulation, this research evaluates various strategies, including product diversification, digital promotion, and distribution efficiency. The simulation results indicate that implementing strategies such as flavor variant diversification and increased promotion through social media can significantly improve sales and profits. Validation was carried out through sensitivity testing on cost and sales parameter changes, demonstrating that dynamic simulation can be an effective tool to support data-driven strategic decision-making
Pengembangan Komunitas Cerdas Melalui Koperasi RT RW Net Indonesia Berbasis Digital Economy 4.0 Andria, Fredi; Rahmi, Amelia; Salmah, Salmah; Tosida, Eneng Tita; Gunawan, Azzahra Ditri; Yusilawati, Alfadita Dwi
Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Vol 6, No 1 (2023): Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstormin
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/japhb.v6i1.4367

Abstract

Koperasi RT RW Net Indonesia semenjak pandemi mengalami penurunan jumlah anggota dari 20 menjadi 15 orang dan penurunan neraca keuangan. Ini disebabkan tingginya tunggakan anggota, munculnya konflik internal antara pengurus/anggota. Menurunnya jumlah desa pengguna jasa jaringan komputer dari 30 menjadi 8 desa. Koperasi belum mampu melindungi hak cipta produk anggotanya. Tujuan pengabdian: Meningkatkan kinerja koperasi melalui peningkatkan layanan dan kepercayaan anggota terhadap transparansi keuangan serta operasional. Wujud peningkatan kinerja berbasis teknologi digital economy 4.0 diharapkan akan mendorong koperasi menjadi booster pembangunan desa cerdas di Desa Tugubandung. Metode: 1) Rancang bangun Sistem Informasi Manajemen (SIM) operasional dan manajemen koperasi, 2) Rancang bangun Sistem Informasi Manajemen Keuangan Sederhana (SIMKeuS), 3) Pelatihan character-capacity building manajemen organisasi dan keuangan, 4) Pelatihan pendaftaran hak cipta. Hasil yang sudah dicapai: a) Tersedia aplikasi SIM operasional koperasi berbasis web melalui pendekatan System Rapid Prototyping, b) Tersedia applikasi SIMKeuS, c) Peningkatan character dan capacity building bidang strategi marketing UMKM dan Koperasi, d) Kemampuan membuat laporan keuangan sederhana, e) Kemampuan mendaftarkan HKI produk anggota koperasi.
Implementation of Bidirectional Long Short Term Memory (BiLSTM) Algorithm with Embedded Emoji Sentiment Analysis of Covid 19 Anxiety Level and Socio Economic Community Marcelina, Jenie; Tosida, Eneng Tita; Aryani, Adriana Sari
International Journal of Quantitative Research and Modeling Vol. 5 No. 2 (2024)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v5i2.682

Abstract

The COVID-19 pandemic has presented multidimensional challenges in Indonesia, significantly affecting social, economic, and public health at the level of anxiety. Public anxiety related to the pandemic can be reflected in online media, especially Twitter, which is the main channel for information sharing and emotional expression. This study aims to understand the level of public anxiety in relation to the aftermath of the COVID-19 pandemic by using a classification method. Classification is carried out using the Knowledge Discovery in Database method with the Bidirectional LSTM algorithm and emoji embedding sentiment analysis, and K-Fold Cross Validation testing is also carried out with various optimizers. The final result of the best accuracy rate obtained was 98.08%. This shows that the classification model created is good.
Modeling Queue Length at The Toll Gate Using Promodel Before and After Ramp-Off Construction Hafizi, Muhamad; Hafiz, Syauqi Abyan; Sugiharto, Bambang; Tosida, Eneng Tita; Bon, Abdul Thalib Bin; Sugara, Victor Ilyas; Subandi, Kotim; Salih, Yasir
International Journal of Quantitative Research and Modeling Vol. 6 No. 1 (2025)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v6i1.905

Abstract

In everyday life, queues often occur. Waiting at the counter to get train or movie tickets, at the toll gate, at the bank, at the supermarket, and in other situations that we often encounter Queues occur when the need for services exceeds the capacity or capacity of the service facility. As a result, users of the facility cannot get immediate service due to the busyness of the service. The Amplas Toll Gate queue is the object of this research. The Amplas Toll Gate is one of the densest toll gates that is heavily traveled by vehicles both entering and exiting. This makes it often seen a fairly long queue, especially during peak hours in the late afternoon to evening. The Medan City Government built an off ramp at the Amplas flyover in 2016. This off ramp leads directly to the Amplas toll gate. The vehicle arrival rate increases along with the queue length because vehicles can arrive faster to the toll gate. This study aims to calculate the queue length at the Amplas toll gate before and after the construction of the ramp off. Data is obtained by recording the volume of vehicles at the research location. With an average service time of 7 seconds, the queuing method produces a queue length of 11.98 meters, while the results using Pro Model software are 11.98 meters. In addition, the queue length after the construction of the ramp off decreased to 6.67 meters from before the construction of the ramp off. Promodel is a windows-based simulation software used to simulate and analyze a system.
The Academic Triangle Implementation in Bogor New Normal Batik Village as a Collaborative Learning Center Tosida, Eneng Tita; Andria, Fredi; Warnasih, Siti; Utami, Novi Fajar; Sukmanasa, Elly; Ardiansyah, Deden; Harsani, Prihastuti; Achmad, Dinar Munggaran; Wahyuni, Yuli
International Journal of Ethno-Sciences and Education Research Vol. 2 No. 1 (2022): International Journal of Ethno-Sciences and Education Research (IJEER)
Publisher : Research Collaboration Community (Rescollacom)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijeer.v2i1.236

Abstract

The main objective of this study is build the new normal bogor batik village which is integrated with collaborative learning, so as to create the academic triangle ecosystem. The academic triangle is cyclical in nature, which continues as an ecosystem of education, research and entrepreneurship (not only being an entrepreneur but an entrepreneurial spirit that never gives up in the face of all obstacles). This cycle involves lecturers and students who at the same time have a positive impact on improving the social economy and strengthening local culture. Hopefully, in the end, the ecosystem can become a laboratory for strengthening the academic triangle
Decision Support System for Indibiz Package Selection Using K-Means Clustering and Analytic Hierarchy Process Martika, Karina; Tosida, Eneng Tita; Yanti, Yusma
International Journal of Global Operations Research Vol. 6 No. 4 (2025): International Journal of Global Operations Research (IJGOR), November 2025
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v6i4.434

Abstract

The rapid development of digital business in Indonesia has encouraged telecommunication providers to improve their services, particularly for small and medium-sized enterprises (SMEs). PT. Telkom Indonesia, through its Indibiz program, offers a wide variety of internet packages to support business operations. However, the diversity of available packages often leads to decision-making difficulties for both customers and internal stakeholders when determining the most suitable service based on customer needs, business scale, and financial capability. This study proposes a web-based Decision Support System (DSS) for Indibiz package selection by combining K-Means Clustering and the Analytic Hierarchy Process (AHP). K-Means is used to segment customers based on sales and usage behavior, while AHP prioritizes criteria such as speed, price, and call quota to produce recommendations. A dataset containing 6,192 Indibiz sales records from July to November 2023 was analyzed. The hybrid model was then implemented into a web-based application that enables decision-makers to visualize clustering results and determine package recommendations interactively. The experimental results demonstrate that the combination of K-Means and AHP produces more objective and consistent recommendations compared to manual selection. The DSS can help both customers and PT. Telkom Indonesia improve decision efficiency and reduce subjective bias in selecting internet packages.
Decision Support System for Letter Follow-Up Using K-Means Clustering, Principal Component Analysis, and Analytical Hierarchy Process Alif, Ilham Radan; Tosida, Eneng Tita
International Journal of Global Operations Research Vol. 6 No. 4 (2025): International Journal of Global Operations Research (IJGOR), November 2025
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v6i4.435

Abstract

Several institutions still face challenges in managing incoming letters due to the absence of a structured classification system. The follow-up process is often carried out based on the order of arrival without considering the urgency or importance of the content, leading to document accumulation and difficulties in determining priorities. To address these issues, this study aims to develop a Decision Support System (DSS) that assists in classifying letters and provides strategic recommendations for follow-up prioritization. The K-Means method is used to cluster letter data based on attribute similarities, supported by Principal Component Analysis (PCA) for dimensionality reduction. Furthermore, the Analytical Hierarchy Process (AHP) is applied to generate strategic recommendations for each cluster of letters. The research data were obtained from the institution’s budget management letter registry, which includes attributes such as institution name, department, description, program, activity, sub-activity, and sub-detail. The results indicate that the K-Means method is less optimal for clustering complex letter data, with a silhouette score of 0.208 and a Davies–Bouldin Index (DBI) of 1.793. However, the AHP method achieved a consistency ratio (CR) below 0.1, demonstrating the reliability of the generated recommendations. Overall, the developed system effectively provides accurate and efficient recommendations for letter follow-up prioritization, thereby improving decision-making processes within the institution.
Inventory Replacement Decision Support System Using Clustering and Analytical Hierarchy Process (AHP) Methods Nurjaman, Rusli; Tosida, Eneng Tita; Situmorang, Boldson Herdianto
International Journal of Global Operations Research Vol. 6 No. 4 (2025): International Journal of Global Operations Research (IJGOR), November 2025
Publisher : iora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47194/ijgor.v6i4.436

Abstract

The Center for Human Resources Development of Transportation Apparatus (PPSDMAP) still faces obstacles in manual inventory management, resulting in a long time required to determine which items are suitable or need to be replaced. This study aims to develop a web-based Decision Support System (DSS) to assist the inventory replacement decision-making process effectively and efficiently. The K-Means Clustering method was used to group inventory data based on age, condition, and value (price) attributes using 230 inventory data from January 1–November 30, 2023. The test results produced a Davies-Bouldin Index (DBI) value of 0.435 with six optimal clusters. Furthermore, the Analytical Hierarchy Process (AHP) method was used to determine the priority of handling strategies for less suitable or unsuitable inventory groups, with a Consistency Ratio (CR) below 10%, indicating a good level of consistency. The results of the study indicate that the developed system can assist PPSDMAP in grouping inventory objectively and support inventory replacement decision-making in a systematic, efficient, and measurable manner.
Co-Authors Abimanyu Oki Saputra Abimanyu Okysaputra Achmad Noerkhaerin Putra Achmad, Dinar Munggaran Adriana Sari Aryani Agung Djati Walujo Agus Sunarya Alif, Ilham Radan Amelia Rahmi Amelia Rahmi Amelia Rahmi Andhika Bhayangkari Andria, ferdi Anisa Intan Selatan Anisa Intan Selatan Aprido, Eka Aries Maesya Arifah Budiarti Ayasda Rahardian Bambang Sugiharto Baskoro, Arif Dwi Bon, Abdul Thalib Bin Caroko Hutomo Iriantoro Putra Deden Ardiansyah Dian Kartika Utami Diki Andika Saputra Dinar Munggaran Achmad Elly Sukmanasa Ema Kurnia Fajar Delli W Fajar Delli Wihartiko Falleryan, Muhammad Fauzan Azmi Alfiansyah Febrian, Muhamad Zidane ferdi Andria Feriadi Feriadi, Feriadi Firdaus, Muhamad Haikal Fredi Andria Gunawan, Azzahra Ditri Hafiz, Syauqi Abyan Hafizi, Muhamad Hairulnizam Mahdin Halimah Tus Sa’diah Hario Bayu Hoerudin, Andi Irfan Wahyudin Irman Hermadi Juanito, Axel Kamel Mahdi Karyaningsih, Dentik Kudang Boro Seminar Lita Karlitasari Lola Jaman Sentosa M Iqbal Suriyansyah Marcelina, Jenie Martika, Karina Maudy Khairunnisa Maisun Taqiyyah Muhamad Sunarzi Muhamad Sunarzi Muhammad Fahmi Mislahudin Muhammad Ridwan Novi Fajar Utami Nurcahya, Dimas Nurjaman, Rusli P.S, Axel Juanito Permana, Rizki Prihastuti Harsani Puri Indrawati Rezaghani Rizki Nurfajri Runanto Runanto Saka, Bima Ariya Salih, Yasir Salmah Salmah Salmah Salmah Salmah Salmah Sauri, Ahmad Sopyan Selo Aji Siti Warnasih Siti Warnasih Situmorang, Boldson Herdianto Soleha Nuramanah Soleha Nuramanah Sri Setyaningsih Subandi, Kotim Sufiatul Maryana Sugara, Victor Ilyas Suriansyah, Mohamad Iqbal Suriyansyah, Mohamad Iqbal Suriyansyah, Mohamad Iqbal Tomi Herdiawan, Tomi Turrohman, Syaifa Utep Utep Walujo, Agung Djati Walujo, Agung Djati Werdaya, Rangga Kusumah Putra Marsha Yani Nurhadryani Yanti, Yusma Yazir, M Sofwan Yuli Wahyuni Yuli Wahyuni Yusilawati, Alfadita Dwi