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All Journal Jurnal Informatika Jurnal Teknoin TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Infra Jurnal Titra Jurnal Optimasi Sistem Industri Seminar Nasional Informatika (SEMNASIF) Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri International Journal of Industrial Research and Applied Engineering Jurnal Teknik Informatika (JUTIF) Jurnal Dimensi Insinyur Profesional

Tanti Octavia

Program Studi Teknik Industri, Universitas Kristen Petra Surabaya

Author-ID : 336458

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering

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CUSTOMER LOYALTY SEGMENTATION IN ONLINE STORE USING LRFM AND MLRFM IN COMBINATION WITH RM K-MEANS ALGORITHM Utomo, Angelina Caroline; Handojo, Andreas; Octavia, Tanti
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 2 (2024): JUTIF Volume 5, Number 2, April 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.2.1497

The rapid development of online business in recent years has driven Store X to embark on a digital transformation. By the end of 2020, Store X relocate their conventional business to online business. The greatest obstacle and key to success for online business operators, such as Store X, is gaining and retaining consumer loyalty in the face of an increasing number of competitors. Therefore, the company must be able to identify the character (behavior) of its clients to provide appropriate treatment. Each customer's behavior is unique, which means they must all be treated differently. However, all this time, Online Store X has provided the same treatment (as much of a discount) to all its customers due to the lack of information regarding their customers’ characteristics. Therefore, in this study, customers of Online Store X were segmented based on their transactional behavior using online transaction history data from March 2021 to March 2023. Two customer analysis models, LRFM and MLRFM, will be combined with RM K-Means to find the best combination through Silhouette Coefficient values. The optimal number of clusters (k) is then determined using the Elbow Method. The results indicate that the optimal number of clusters for both combinations is K=3, with the combination of MLRFM and RM K-Means is the best combination. The finest combination has a silhouette coefficient value of 0.8609. Based on this combination, it is also known that 2,053 customers in cluster 3 are loyal customers, while 2,339 customers in cluster 1 and 2 are lost customers. The results of this study were also implemented on websites built for X Store using Python programming languages and MySQL databases, making it easier for companies to see data visualization.

Implementasi Sistem Manajemen Pergudangan dengan Pendekatan Class Based Storage dan Metode ABC Classification pada Perusahaan Farmasi: Indonesia Albert Sutrisno, Jane Ivana; Octavia, Tanti
Teknoin Vol. 29 No. 1 (2024)
Publisher : Faculty of Industrial Technology Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/teknoin.vol29.iss1.art3

PT. X merupakan perusahaan manufaktur yang bergerak di bidang farmasi. Sistem manajemen pergudangan yang ada pada PT. X saat ini belum berjalan dengan teratur dan efisien.Tata letak produk jadi yang ada pada gudang tidak memiliki standarisasi peletakan barang jadi. Hal ini mengakibatkan pekerja memerlukan waktu yang lebih lama dalam pemenuhan customer order. Oleh karena itu, penelitian kali ini bertujuan untuk membuat sebuah rancangan perbaikansistem pergudangan yang dapat mempersingkat waktu pemenuhan customer order. Hasil implementasi rancangan perbaikan sistem pergudangan berhasil meningkatkan efisiensi waktu pekerja dalam pemenuhan customer order sebesar 94,4% dengan penataan ulang berdasarkanpendekatan class based storage dan penggunaan metode analisis ABC serta penggunaan sistemwebsite.

Detail Engineering Design (DED) Pengembangan SPAM Kecamatan Karangbinangun Kabupaten Lamongan Yuliani; Octavia, Tanti
Jurnal Dimensi Insinyur Profesional Vol. 1 No. 1 (2023): September 2023
Publisher : Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jdip.1.1.28-32

Kebutuhan air bersih di Kecamatan Karangbinangun, Kabupaten Lamongan semakin meningkat sejalan dengan pertumbuhan penduduk serta berkembangnya kawasan pemukiman maupun industri. Dalam rangka pemenuhan kebutuhan air bersih dan kesehatan masyarakat serta pencapaian target nasional 10 juta sambungan rumah, direncanakan pengembangan SPAM di Kecamatan Karangbinangun Kabupaten Lamongan. Pengembangan SPAM direncanakan berkapasitas 300 liter/detik untuk melayani 4 kecamatan yakni Karangbinangun, Deket, Glagah, dan Kalitengah. Lingkup kegiatan DED adalah perencanaan intake, Instalasi Pengolahan Air (IPA), Desain pipa transmisi dan distribusi, Reservoir utama dan distribusi. Sistem intake direncanakan Sistem Intake Condoit. Pipa transmisi menggunakan pipa HDPE diameter 500 mm sepanjang ± 100 m. IPA direncanakan IPA paket sebanyak 3 unit, kapasitas masing-masing 100 liter/detik. Volume reservoir utama sebesar 5.000 m3sebanyak 1 unit dan reservoir di Kecamatan Deket sebesar 2.000 m3. Panjang pipa JDU sepanjang ±14.600 m.

Evaluasi Penyediaan Air Bersih Di Kecamatan Maulafa Kota Kupang Fernandez, Wenceslaus Reinaldo; Octavia, Tanti
Jurnal Dimensi Insinyur Profesional Vol. 2 No. 1 (2024): Maret 2024
Publisher : Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jdip.2.1.1-5

Pertumbuhan dan perkembangan penduduk yang cukup tinggi menyebabkan kebutuhan air bersih juga semakin meningkat, salah satunya di Kecamatan maulafa. Penelitian ini dilakukan untuk mengevaluasi kinerja jaringan distribusi air bersih di kecamatan maulafa. Evaluasi kinerja jaringan distribusi air bersih ditinjau berdasarkan aspek pelayanan danberdasarkan hasil kuesioner, Berdasarkan hasil evaluasi didapatkan bahwa hanya sekitar 22,58% (18840 dari 85455 jiwa) masyarakat Kecamatan Maulafa yang terlayani PDAM Kota Kupang atau masih sekitar 64615 jiwa masyarakat kecamatan maulafa yang tidak mendapat pelayanan dari PDAM kota kupang, total kekurangan kebutuhan air di kecamatan maulafa sekitar 140 liter/ detik. Hasil survey juga menunjukkan pelayanan dari pihak PDAM Kota Kupang masih kurang maksimal seperti distribusi air ke pelanggan tidak lancar/aliran airnya tidak mengalir secara kontinyu, kurangnya pemeliharaan operasional dari pihak PDAM.

Goal Programming and Monte Carlo Simulation for Optimizing Inbound Scheduling in Resource-Constrained Warehouses Savio Enoson; Andreas Handojo; Tanti Octavia; Demetrio F. Edryan
Jurnal Optimasi Sistem Industri Vol. 24 No. 2 (2025): Published in December 2025
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Resource efficiency lies at the heart of logistics performance, with unloading operations in storage facilities serving as a critical determinant of overall productivity. In less developed regions, the widespread reliance on basic rules-based systems such as FIFO often proves inadequate for handling operational complexities, leading to bottlenecks and inefficiencies. Small and medium-sized enterprises (SMEs), constrained by limited resources, are compelled to optimize existing infrastructure rather than invest in costly upgrades. To address this challenge, the present study introduces a goal-oriented programming model designed to assign trucks to loading docks within specific time slots, thereby enhancing time efficiency. The model evaluates performance across four key metrics: waiting time, loading time, overtime, and equity. By leveraging goal programming, numerical prioritization of these objectives becomes possible, enabling flexible adjustments to meet operational needs. Furthermore, Monte Carlo simulation (MCS) is employed to incorporate variability into the dataset and assess model robustness under real-world uncertainty. Experimental results reveal that the proposed approach consistently outperforms traditional systems, delivering significant improvements in time efficiency. These findings highlight the potential of goal programming as a practical solution for planning in resource-constrained environments. The resulting model offers an adaptive, reliable framework that warehouse managers can implement without incurring substantial infrastructure costs.

Integrating Real-Time IoT Based Monitoring and Dashboard Design for Closed-House Hen Farming Handojo, Andreas; Setijarso, Edyq; Halim, Siana; Octavia, Tanti
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 27 No. 2 (2025): December 2025
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.27.2.237-248

This paper presents a comprehensive solution that integrates IoT-based hardware systems with a real-time dashboard specifically designed for closed-house poultry farming, focusing on laying hens. Since laying hens are homeothermic animals, they are sensitive to temperature and humidity. Therefore, it is essential to monitor and control these environmental factors, along with ventilation, in real time. We describe a smart monitoring system that combines sensors, microcontrollers, and Android-based dashboards to provide actionable insights into poultry health and egg production performance. This system tracks various parameters, including temperature, humidity, equipment status, and key production indicators such as Hen Day Production (HDP), Hen House Production (HHP), and Feed Conversion Ratio (FCR). Evaluations conducted with local poultry farmers have shown improved awareness, usability, and the potential for increased operational efficiency. Despite some limitations, the dashboard provides a clear overview and helps inform decisions aimed at enhancing conditions and boosting egg production. This tool enables breeders to monitor and improve the performance of their laying hens and manage feeding strategies effectively. Additionally, it can assist in controlling and enhancing the closed-house environments and ventilation systems. The system's performance and usability were evaluated through User Acceptance Testing (UAT) and production Key Performance Indicators (KPIs), confirming its potential to enhance operational efficiency.

Statistical Learning for Predicting Dengue Fever Rate in Surabaya Halim, Siana; Felecia, Felecia; Octavia, Tanti
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 22 No. 1 (2020): June 2020
Publisher : Institute of Research and Community Outreach - Petra Christian University

Dengue fever happening most in tropical countries and considered as the fastest spreading mosquito-borne disease which is endemic and estimated to have 96 million cases annually. It is transmitted by Aedes mosquito which infected with a dengue virus. Therefore, predicting the dengue fever rate as become the subject of researches in many tropical countries. Some of them use statistical and machine learning approach to predict the rate of the disease so that the government can prevent that incident. In this study, we explore many models in the statistical learning approaches for predicting the dengue fever rate. We applied several methods in the predictive statistics such as regression, spatial regression, geographically weighted regression and robust geographically weighted regression to predict the dengue fever rate in Surabaya. We then analyse the results, compare them based on the mean square error. Those four models are chosen, to show the global estimator’s approaches, e.g. regression, and the local ones, e.g. geographically weighted regression. The model with the minimum mean square error is regarded as the most suitable model in the statistical learning area for solving the problem. Here, we look at the estimates of the dengue fever rate in the year 2012, to 2017, area, poverty percentage, precipitation, number of rainy days for predicting the dengue fever outbreak in the year 2018. In this study, the pattern of the predicted model can follow the pattern of the true dataset.

A Simulation-based Optimization Approached to Design a Proposed Warehouse Layout on Bicycle Industry Sienera, Farrel Stefan; Octavia, Tanti; Winoto, Desi
Jurnal Teknik Industri: Jurnal Keilmuan dan Aplikasi Teknik Industri Vol. 24 No. 2 (2022): Dec 2022
Publisher : Institute of Research and Community Outreach - Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jti.24.2.141-150

The finished goods must be stored in a warehouse before the items are dispatched. Due to the increasing demand in 2020, there will be an increase in the quantity of items, which will cause the finished goods warehouse at PT X to reach capacity. This issue lengthens the flow through the warehouse and makes it easier for the items to sustain damage. To improve capacity, the firm is building a new finished goods warehouse, and it wants to organize the two warehouses so that the displacement time is as short as possible. This study utilized simulations to calculate the time and dedicated and class-based storage strategies to establish the layout. This study utilized simulations to determine the time and dedicated and class-based storage approaches to establish the layout. According to the findings, the dedicated storage technique has a total displacement distance of 703,952 meters and an average moving duration of 3.37 minutes per pallet. These findings are not as useful as the class-based storage technique, which has 705,961 meters and an average pallet turn time of 3.53 minutes.

Indoor positioning system using BLE beacon to improve knowledge about museum visitors Andreas Handojo; Tanti Octavia; Resmana Lim; Jonathan Kurnia Anggita
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 2: April 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i2.14886

Generally, a museum has many locations and artifacts collection that display for visitors. Museum manager often have difficulty in obtaining information on visitors behavior such as, is there are particular locations/artifacts in the museum that are frequently/rarely visit by museum visitors, how long visitors spend their time in particular locations/artifacts, etc. The purpose of this study is try to build a suitable system in order to improve knowledge about the behavior of museum visitors by identifying the position of visitors in the museum. This study uses Bluetooth Low Energy (BLE) Beacon that place around the museum. The visitor mobile phone will detect BLE beacon signal, then the mobile phone application will calculated the visitor’s mobile phone position using the signal strength from the BLE beacons that are detected. The application then sends it to the computer server to display it in as museum visitor heat map. From this information, the museum manager could find out the visitors behavior movement and know which areas/artifacts that frequently/rarely visit by museum visitors. According to distance error testing which compare real location and position of the calculation, it is show that the average of distance error is around 140 cm. So, it can be concluded that the information obtained is sufficient enough to represent the position of museum visitors.

Penerapan Sistem Manajemen Keselamatan dan Kesehatan Kerja (SMK3) Pada Proyek Jetty Expansion 4 PT. Siam Maspion Terminal, Gresik Denish Vaphilio Ashari; Tanti Octavia
Jurnal Dimensi Insinyur Profesional Vol. 4 No. 1 (2026): Maret 2026
Publisher : Petra Christian University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.9744/jdip.4.1.1-5

Penerapan Sistem Manajemen Keselamatan dan Kesehatan Kerja (SMK3) memiliki peran krusial dalam industri konstruksi, terutama pada proyek berisiko tinggi seperti Jetty Expansion 4 PT. Siam Maspion Terminal, Gresik. Penelitian ini bertujuan untuk mengevaluasi efektivitas penerapan SMK3 dengan menganalisis aspek perencanaan, implementasi, kepatuhan pekerja, serta evaluasi dan peningkatan sistem. Pendekatan deskriptif kuantitatif digunakan dalam penelitian ini, dengan data diperoleh melalui kuesioner terstruktur dan observasi lapangan. Hasil penelitian menunjukkan bahwa penerapan SMK3 di proyek ini telah berjalan secara efektif. Tingkat penerapan kebijakan dan prosedur keselamatan mencapai 100% di sebagian besar indikator. Namun, terdapat ruang untuk peningkatan pada mekanisme komunikasi dan pemeriksaan alat berat yang masing-masing mencatat tingkat penerapan sebesar 93%. Responden juga menyoroti pentingnya pelatihan K3 rutin dan koordinasi yang lebih intensif antara tim HSE, kontraktor, dan pekerja. Penelitian ini menyimpulkan bahwa penerapan SMK3 di Jetty Expansion 4 memberikan perlindungan yang memadai bagi pekerja, meskipun diperlukan konsistensi lebih dalam implementasi di lapangan. Rekomendasi utama meliputi peningkatan pelatihan K3, pengawasan yang lebih ketat, dan perbaikan fasilitas kerja. Penelitian ini diharapkan dapat menjadi referensi penting bagi proyek konstruksi lain dalam mengelola risiko kerja secara efektif.

Co-Authors , Felecia , Felecia Achmad Noerkhaerin Putra Agus Susanto Chandra Agus Susanto Chandra Albert Limantara Albert Sutrisno, Jane Ivana Albertus Arya Mudita, Albertus Arya Aldo Christianto Setiawan Alvin Liman, Alvin Andreas Handojo Andreas Handojo Andrew Hermawan Andrew Stephen Angelica, Septiananda Bernardus Valiant Daniel Indarto Prajogo Daniel Indarto Prajogo Danny Wijaya Darwin Santoso Davin Hariyanto Demetrio F. Edryan Denish Vaphilio Ashari Dillwyn Felix Johono Elvina Yunia Dearosa Erista Mariana Pardede Felecia . Felecia . Felecia Felecia FELICIA ANGGUN KUSUMA Felita Johanna Ferdian Rama Widya Fernandez, Wenceslaus Reinaldo Gabriela Consuelo Heriyanto Gede Agus Widyadana Gilbert Kelvin Widarta Giovanni Adrian, Giovanni Grace Natalia Grace Natalia Gunawan Budi Wijaya Hans Thadeus Hartono, Gabriele Charity Herri Christian Palit I Gede Agus Widyadana I Gede Agus Widyadana I Gede Agus Widyadana I Gede Agus Widyadana I Nyoman Sutapa Iwan - Iwan Halim Sahputra Jeanny Pontjoharyo Johan Soewanda Johan Soewanda Johana Kezia Davita Joko Yulianto Jonathan Kurnia Anggita Jonathan Suherman Handoyo Jonathan Wijaya Gunawan, Jonathan Wijaya Joni Cenderakiawan Joni Cenderakiawan Juan Exel Sandjaja Julius Chang Kevin Effendy Kevin Yapania Claudia, Kevin Yapania Kuncoro, Bernadette Mega Claudia Lesmana, Aditya Lazuardi Lia Magdalena Prabudy Lia Magdalena Prabudy Lienny Ferlinda Lydia Lydia, Lydia Martin Agusta Naomi Melina Tanutomo Nico Tanaya Octaviona Inge Setiawan Oviliani Yenty Yuliana Oviliani Yenty Yuliana Pauline Astari Singgih Pauline Astari Singgih Pratikto, Pratikto Rachmat Sugianto Rebecca Yapilando Resmana Lim Richard Dwinata Saryadi, Richard Dwinata Ricky Haryanto Rinaldi Edo Saputro, Rinaldi Edo Ronald E. Stok Ronald E. Stok Satria Nalapradipta Savio Enoson Septiananda Angelica Setijarso, Edyq Siana Halim Sienera, Farrel Stefan Sonny Sugiarto, Sonny Sovi, Talisha Joelyn Stanley Surya Jaya Stanley Surya Jaya Stefanie Mariana Linardi, Stefanie Mariana Stephanie Tanojo Stienley Nagata Cahyady Tengku Riza Zarzani N Thomas Prayogo Utomo, Angelina Caroline Valencia Wijaya Viona Angelica Widya Arditanti Wijaya, Ezra Kenzie Winoto, Desi Yenny Amelia Yenny Amelia Yovita Rosalia Yulia Kendengis Yulia Yulia YULIANI Yuman Krismana Yunita Kurniawati Sugianto

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