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All Journal Farmasains : Jurnal Farmasi dan Ilmu Kesehatan Jurnal Keperawatan Bina Sehat WARTAZOA Indonesian Bulletin of Animal and Veterinary Sciences Jurnal Berita Ilmu Keperawatan Jurnal Ilmiah Dinamika Rekayasa (DINAREK) Jurnal SOLMA Jurnal Agribest Jurnal Ilmiah Keperawatan (Scientific Journal of Nursing) JURNAL PENDIDIKAN TAMBUSAI Jurnal STIE Semarang (Edisi Elektronik) Infotekmesin Jurnal Midpro Transparansi Hukum Community Service Journal of Indonesia SOSIOEDUKASI : JURNAL ILMIAH ILMU PENDIDIKAN DAN SOSIAL Jurnal Teknik Informatika (JUTIF) INTERNATIONAL JOURNAL OF SOCIAL, POLICY AND LAW (IJOSPL) UNISKA LAW REVIEW In Right: Jurnal Agama dan Hak Azazi Manusia Jurnal Janitra Informatika dan Sistem Informasi JASNA : Journal For Aswaja Studies Journal of Educational Sciences Klausula: Jurnal Hukum Tata Negara, Hukum Adminitrasi, Pidana dan Perdata Jurnal Pengabdian Ilmu Kesehatan Jurnal Simki Postgraduate Dinamika Hukum Dan Masyarakat Equalegum International Law Journal Kreativitas Pada Pengabdian Masyarakat (Krepa) Nusantara Community Empowerment Review Prosiding Seminar Nasional dan Call For Paper Kebidanan Universitas Ngudi Waluyo Jurnal Pengembangan Ilmu dan Praktik Kesehatan MADINA : Journal of Islamic Studies Masyarakat Mandiri dan Berdaya Visioner : Jurnal Manajemen dan Bisnis
Nur Chasanah
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Journal : Jurnal Teknik Informatika (JUTIF)

 1 
WEB-BASED CRM APPLICATION WITH CUSTOMER ELIGIBILITY SIMULATION FEATURE USING EXPONENTIAL COMPARISON METHOD AT KOPERASI NUSANTARA MANDIRI Benyamin, Evan; Chasanah, Nur; Ekowati, Nur Alfi
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.4.2305

Abstract

In the competitive and dynamic digital era, cooperatives must have systems that accommodate both operational needs and customers to improve service quality and customer satisfaction. However, Koperasi Nusantara Mandiri in Bandung Regency does not yet have a system that encompasses both aspects, rendering the cooperative's services ineffective and less competitive. Therefore, the cooperative requires a Customer Relationship Management (CRM) system to assist potential customers by providing loan eligibility calculation simulations. This research aims to implement a decision support method in a system using the waterfall methodology, which includes the stages of requirements, design, implementation, testing, and maintenance to develop a web-based CRM application. The application is designed and developed to help the cooperative manages the customer data, ease the business processes, and enhance effectiveness in both operations and customer analysis. Testing is conducted using the black box technique to ensure the application meets the specified requirements. The research results indicate that the developed CRM application functions well and meets the needs of Koperasi Nusantara Mandiri, thereby increasing the cooperative's operational effectiveness.
SOFTWARE DEVELOPMENT PROJECT MANAGEMENT BASED ON WORK BREAKDOWN STRUCTURE AND ODOO ERP Supriyono, Supriyono; Chasanah, Nur
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 4 (2023): JUTIF Volume 4, Number 4, August 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.4.1077

Abstract

Software Development Project Management is the most important part of the Software Development Life Cycle process. The stages in project development include Initiating, Planning, Executing, Monitoring and Controlling, and Closing. This research uses the Work Breakdown Structure approach, which is a method used in project management to break down complex work into smaller and more manageable parts. Work Breakdown Structure helps in organizing, classifying, and describing the work to be done in a project. Odoo ERP is part of the tools that can be used for project management. Testing the project module using Blackbox Testing. The test scenario includes functional testing of the project management module. Application testing shows good results and is following existing needs. The results show that software project management using the Work Breakdown Structure approach can be implemented properly with Odoo ERP tools.
IMPLEMENTATION OF THE ELECTRE METHOD IN THE RECOMMENDATION SYSTEM AND API SERVICE PROVISION FOR TOURIST DESTINATIONS IN BANYUMAS REGENCY WITH INTERACTIVE MAPPING Guntur Satya Pramudya; Permadi, Ipung; Chasanah, Nur
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 1 (2024): JUTIF Volume 5, Number 1, February 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.1.1768

Abstract

The Banyumas Regency is a region with a diverse range of tourist attractions, making tourism one of its crucial economic sectors. The multitude of tourist destinations in Banyumas often poses a challenge for visitors in choosing destinations that align with their preferences. To address this issue, this research applies the Elimination et Choix Traduisant la Réalité (ELECTRE) method in multi-criteria decision-making. The objective of this study is to provide recommendations for suitable tourist destinations based on tourists' interests, along with an interactive mapping feature that offers a geographical overview and distance information for these destinations. Recognizing the importance of accessible tourism information, this research also implements Application Programming Interface (API) services to facilitate the integration of tourist destination data into various applications and platforms. The system is built as a web-based application using the Laravel framework and MySQL database. The output of this research is a web-based recommendation system that can be used to help tourists who want to vacation according to their preferences and the API service helps interested parties to integrate tourism data into their system.
Sales Forecasting Model for Indonesian Clothing MSMEs For Sales Strategy Optimization Using The Long Short-Term Memory Method Fawzi, Muhammad Ihsan; Pratomo, Laurensia Claudia; Isnawati, Dian; Chasanah, Nur; Kurniawan, Nadhifa Zahra
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 1 (2026): JUTIF Volume 7, Number 1, February 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.1.5339

Abstract

Micro, Small, and Medium Enterprises (MSMEs) in the clothing industry are one of the key pillars of the economy, contributing significantly to Gross Domestic Product (GDP) and employment. However, MSMEs face considerable challenges related to market competition, shifting consumer trends, and fluctuating demand. Advances in data analytics and machine learning offer solutions to improve sales forecasting accuracy, thereby supporting more effective business strategies. This study aims to develop a sales forecasting model based on Long Short-Term Memory (LSTM) tailored to the characteristics of clothing MSMEs in Indonesia. The research was conducted at Ananda Kids MSME in Purbalingga, using 30,885 daily transaction records collected over 23 months. The dataset included product categories, sales volume, and revenue, which were further processed through normalization, handling of missing values, and the addition of seasonal features. The LSTM model was designed with 128 neurons and evaluated using Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and Mean Absolute Percentage Error (MAPE). The findings indicate that the LSTM model achieved high accuracy for certain product categories. The “Set” and “Children’s Fashion” categories recorded MAPE values below 10%, demonstrating the model’s effectiveness in forecasting stable sales patterns. In contrast, categories with high volatility, such as accessories, produced larger prediction errors. These results highlight that data quality and sales pattern stability are crucial factors in enhancing model performance. Overall, the study demonstrates that the application of LSTM holds significant potential in supporting strategic decision-making for MSMEs through more accurate sales forecasting. Beyond its practical contributions for business actors, the study also provides a basis for the development of digitalization policies for the MSME sector in Indonesia.
Co-Authors Achmaluddin, Nazar Adil Abdillah Afriyani, Luvi Dian Agus Manfaluthi Aji, Baburrohman Al-Anshori, Huzaimah Aldila Dinanti, Aldila Anandi, Normalita Rauffadilla Andi Wahju Rahardjo Anggraini, Lisa Siska Anik Supriani, Anik Anisa Nurina Aulia Anita, Rif'atul Annisa Efrilian Saepudin Ara Nugrahayu Nalawati Arifa, Nailatun Nahda Arri Handayani Artantojati, Sigit Astuty Lumbantoruan Atien Priyanti Azzahra, Hurum Benyamin, Evan Cahyaningrum Dadang Iskandar, Dadang Dana Indra Sensuse David Novan Setyawan, David Novan Dian Vitra Ismawati Diantono Abda’u, Prih Dini Rakhmawati Dova Akhbar Rahwi Gunandri Dwi Sembe Sigita Dwipayanti, Puteri Indah Eddy Maryanto Elin Cahyaningsih Emi Puasa Handayani Endang Setyowati Fajar Purwanto, Fajar Fandestika, Shafa Rizki Fatma Amilia, Fatma Fauziyah, Nabila Nur Fawzi, Muhammad Ihsan Ferbriana, Maria Guntur Satya Pramudya Hadi Purwanto, Nasrul Hazrullah Hidayat, Muhammad Miftachul Huzaimah Al-Anshor Ika Trisharyanti Dian Kusumowati Ipung Permadi Isnawati, Dian Joko Siswanto Joko Sulianto . . Kiftiyah Kiftiyah Kingkin Puput Kinanti Kurnia Indriyanti Purnamasari, Kurnia Indriyanti Kurniawan, Nadhifa Zahra Kurniawan, Yogiek Indra Laurensia Claudia Pratomo Luhita, Tiladela Lusa, Sofian M.Nur, Dany Miftah Manfaluthi, Agus Maulana Putri, Anisah Mohammad Rizky Pebrianto Nofiyati Nofiyati Nur Alfi Ekowati Nur Faiz, Muhammad Peni Indrayudha Pradana, Haris Kondang Prasetyo, Agus Subhan Puji Tri Lestari Rahardjo, Andi Wahju Ramaida, Rizka Amalia ROSYIDAH, NANIK NUR S Supratman Sabrina, Hafifa Intan Savage, Eileen Silvia Hendrayanti Sonya Brinda Sopi, Sopi Sri Wijayanti Sugianto, Victoria Angela Sukmiati, Dieny Supriyono Supriyono Teguh Cahyono Vera Virgia, Vera Victoria Angela Sugianto Wahyu Kristiningrum Wardani, Riska Aprilia Widiyawati, Rina Widya Anggraeni Windarti, Nuswantari Ayu Wulan Kurnianingtyas Wulandari, Octavia Yanuar E. Restianto Yusuf Falaq, Yusuf Ziadaturrohmah, Evi Zumrotun Nafiah