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All Journal Jurnal Pendidikan Indonesia Laa Maisyir Jurnal Ekonomi Islam Jurnal Sinar Manajemen Pendas : Jurnah Ilmiah Pendidikan Dasar Jurnal IMPACT: Implementation and Action Jurnal Pengabdian Kepada Masyarakat MEMBANGUN NEGERI Jurisprudensi: Jurnal Ilmu Syariah, Perundang-undangan, Ekonomi Islam Jurnal Ilmiah Ilmu Komputer Fakultas Ilmu Komputer Universitas Al Asyariah Mandar Piwulang: Jurnal Pendidikan Agama Islam Mazahibuna: Jurnal Perbandingan Mazhab Jurnal Hukum Lex Generalis Window of Community Dedication Journal Jurnal Disastri: Pendidikan Bahasa dan Sastra Indonesia Al-Buhuts (e-journal) Jurnal Pengabdian Inovasi dan Teknologi Kepada Masyarakat International Journal of Islamic and Social Sciences (ISOS) Mauriduna : Journal of Islamic studies Elementary School: Jurnal Pendidikan dan Pembelajaran ke-SD-an Ceddi Journal of Information System and Technology (JST) Ceddi Journal of Education Jurnal Fokus Elektroda (Energi Listrik, Telekomunikasi, Komputer, Elektronika dan Kendali) QANUN: Journal of Islamic Laws and Studies Cendekia: Journal of Law, Social and Humanities Inspiration: Jurnal Teknologi Informasi dan Komunikasi Jurnal Amal Pendidikan Jurnal Ekonomi Prioritas (JEKO) SAUJANA : Jurnal Perbankan Syariah dan Ekonomi Syariah Journal of Global Islamic Economic Studies Referensi Islamika : Jurnal Studi Islam Al-Gafari: Manajemen dan Pendidikan Aslamiah: Jurnal Pendidikan, Ekonomi, Sosial dan Budaya Neraca Manajemen, Akuntansi, dan Ekonomi Al-Faizi : Hukum, Politik dan Bisnis Al-Tafani: Jurnal Pengabdian Masyarakat Academica : Jurnal Pengabdian Kepada Masyarakat At Tawazun Jurnal ekonomi Islam Adpebi Science Series AL-DALIL: Jurnal Ilmu Sosial, Politik, dan Hukum Agency Journal of Management and Business Jurnal Wicara Desa
Kamaruddin
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Journal : Ceddi Journal of Information System and Technology (JST)

 1 
Vespa Motorcycle Marketing by Using Augmented Reality Markerless Method Based on Android Butsiarah; Muh. Ilham Ramadhan; Kamaruddin; Supriadi Sahibu
Ceddi Journal of Information System and Technology (JST) Vol. 1 No. 2 (2022): December
Publisher : Yayasan Cendekiawan Digital Indonesia (CEDDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/jst.v1i2.21

Abstract

The problem that occurred was CV. Scootres Group had not had a marketing application, so it was difficult to serve the buyers who wanted to buy a Vespa when they were far from the location. Sometimes the seller has to answer the questions one by one for the buyers. This study aims to create an Android-based Vespa Motorcycle Marketing application to facilitate marketing on the CV. Scoots Group. The data was obtained through Field Research, Library Research, and interviews. Then the system design stage, application creation, and testing stage. The SDK used is EasyAR, and the C programming language, and the method used in this research is the Markerless method. The results of the study indicate that the system used is BlackBox testing and User Acceptance Test (UAT) based on BlackBox testing. The system is running well, and based on UAT testing, 10 respondents with a percentage of 85% and 2 Expert Examiners with a percentage of 89%, both are included in the category strongly agree to apply.
Decision Support System for Selecting the Best Bus Destination for Toraja using the Weighted Product Method Erwin Gatot Amiruddin; Kamaruddin; Asnimar; Lusi Dwi Putri; Hiknatius Rianto Madao
Ceddi Journal of Information System and Technology (JST) Vol. 2 No. 1 (2023): April
Publisher : Yayasan Cendekiawan Digital Indonesia (CEDDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/jst.v2i1.34

Abstract

This research aims to develop a Decision Support System (DSS) that can assist in selecting the best bus for tourism purposes in Toraja. The objective of this research is to facilitate the decision-making process for prospective tourists who want to use buses as their means of transportation during their visit to Toraja. The method employed in this research is the Weighted Product (WP) method. This method was chosen due to its ability to handle multiple criteria, enabling selection based on various relevant factors such as price, service quality, bus capacity, operational schedule, and level of comfort. Furthermore, the collected data will be input into the developed DSS using the WP method. The DSS will calculate relative scores for each bus based on the predetermined criteria weights. The results of this research are expected to provide objective and accurate recommendations for selecting the best bus. These recommendations can serve as a guide for prospective tourists in choosing a bus that suits their needs and preferences. Additionally, this research can also provide valuable insights for bus operators in improving service quality and customer satisfaction.
Application of the Adaptive Boosting Method to Increase the Accuracy of Classification of Type Two Diabetes Mellitus Patients Using the Decision Tree Algorithm Hao Chieh Chiua; Robbi Rahim; Mahmud Mustapa; Kamaruddin; Akbar Hendra; Asnimar; Abigail, Omita
Ceddi Journal of Information System and Technology (JST) Vol. 2 No. 2 (2023): December
Publisher : Yayasan Cendekiawan Digital Indonesia (CEDDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/jst.v2i2.47

Abstract

One of the data mining processes that is often used in machine learning is the data classification process. A decision tree is a classification algorithm that has the advantage of being easy to visualize because of its simple structure. However, the decision tree algorithm is quite susceptible to incorrect classification calculations due to the presence of noise in the data or imbalance in the data, which can reduce the overall level of accuracy. Therefore, the decision tree algorithm should be combined with other methods that can increase the accuracy of classification performance. Machine Learning is used through an artificial intelligence approach to solve problems or carry out optimization. Adaptive Boosting is used to optimize classification calculations. This study aims to examine the performance of Adaptive Boosting in the process of classifying second-degree diabetes mellitus patients using the Decision Tree algorithm. Diabetes mellitus is known as a chronic condition of the human body, the cause of which is an increase in the body's blood sugar levels because the body is unable to produce insulin or is unable to utilize insulin effectively, which is usually referred to as hyperglycemia.. By using a 60:40 data split, the Decision Tree algorithm produces an accuracy value of 95.71%, while the Adaptive Boosting-based Decision Tree results reach a value of 98.99%.
Waste Service Retribution Management in Selayar Islands Regency through Website-Based Solutions Wisda; Nuraida Latif; Apriana, Rezki; Neneng Awaliah; Kumar Vivek; Kamaruddin
Ceddi Journal of Information System and Technology (JST) Vol. 3 No. 1 (2024): April
Publisher : Yayasan Cendekiawan Digital Indonesia (CEDDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/jst.v3i1.78

Abstract

The waste retribution management system at the Environmental Service office in Selayar Islands Regency is currently suboptimal. Customers are required to register for waste collection in person at the office, and the payment process must be done through a collection officer who visits the customer's location. Additionally, there is no formal channel for customers to provide feedback on the waste services they receive. To address these issues, an application is proposed to streamline waste service usage for the community and facilitate reporting for Environmental Service employees. The study aims to design and implement an Application for Data Collection and Reporting of Waste Service Retribution at the Environmental Service of Selayar Islands Regency. The research utilized field research, library research, interviews, and documentation to gather relevant data. The research methodology employed was Rapid Application Development (RAD), which involves stages such as requirements planning, user design, development, and implementation. The findings of the study suggest that the proposed application is highly feasible, based on the results of the respondents' assessments. This application is envisioned to significantly improve waste service management and customer experience in Selayar Islands Regency.
Design of a Web-Based Goods Inventory Information System for an Office Stationery Store Pathak, Vijey North Sandep; Robbi Rahim; Rahmania; Kamaruddin; Erwin Gatot Amiruddin
Ceddi Journal of Information System and Technology (JST) Vol. 3 No. 2 (2024): December
Publisher : Yayasan Cendekiawan Digital Indonesia (CEDDI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56134/jst.v3i2.80

Abstract

Hasco Stationery Store, located on Jalan Perintis Kemerdekaan Km 09, is a business specializing in printing and office stationery sales. Effective management of stock availability, purchasing, and sales processes is crucial to meeting customer needs. Prior to implementing an integrated information system, inventory management at the store was performed manually by employees, who relied on estimates and experience to record stock, check inventory, and place purchase orders. This manual approach proved inefficient and prone to errors, including inaccurate stock calculations, recording mistakes, and data loss. To address these challenges, this study employed the waterfall development method to design and implement a web-based inventory information system aimed at enhancing the efficiency and accuracy of inventory management processes. Data were collected through interviews with the store owner, direct observations, and analysis of relevant documents, supplemented by a literature review on stock management principles and information system development. The resulting system simplifies stock management, reduces errors, and improves overall operational efficiency, providing a robust solution for inventory management at the Hasco Stationery Store.
Co-Authors A. Sumardin Abd Basith, Abd Abd Rahman Abigail, Omita Ahadi Ningrum, Ayu Ainol Mardhiah Akbar Hendra Akbar Iskandar Akbar Iskandar Akhmad Wahyudi Alaeka, Egri Rionansyah Alimuddin Aliya Sita Nirmala Amini, Salisa Amiruddin K Amiruddin, Erwin Gatot Amran, Yusran Andi Haerul Andi Irfan Andi Irwan Andi Muhammad Haedar Andi Nuryadin Andi Syahrum Makkuradde Andi Wahyudi Anriani, Putri Ansar H Mulkin Bas anwar, Rahma Apriana, Rezki Ardi Arisman Arlinda Hafid, Eka ART, Attar Asis, Patta Hindi Asnimar Asyraf Mustamim Azira Bahri, Halida Bahtiar Nopandi Billy Eden William Asrul Bin Sapa, Nasrullah Budimawan Butsiarah Cahya Ningrum Muallim, Dian D, Muh. Akib Deni Apriansyah Devi Ayu Destyaningsih Dewi Mariana, Dewi Dicky Zulkarnain Rona Gah Didi Syaputra Dini Rizki Diva Syalsabila Dwi Ariyani Emasari Erwin Gatot Amiruddin Fani Sastra Pranata Farhah, Ummi Farhan Ammar Fauziah, Nur Aidah Finki Dona Marleny First Wanita Gamlan Dagani Gazali, Mukhaimy Gelsy Chania Guna Utama, Erdi Hamdillah, Andi Hamzah, Aksi Hao Chieh Chiua Harinawati Harlina Harlina Harlina Harman Akbar Tullah Hasbiullah Hasbiullah Hasbiullah, Hasbiullah Hendra Nelva Saputra Herlangga Herman Budiono3 Hidayanti, Nur Hijrawati Hiknatius Rianto Madao Husain, Cahyani Huzaiman, Huzaiman Ichlasul Amal Idwin Has Saputra ILHAM Inayatillah Inayatillah Indra Muchlis Adnan Insan Suwanto Irmawati, Budimawan Ismail Ismawati Jafar, Andi Muhammad Jannah, Fani Jisyahul Jasnika, Inka Johari Junaidi Efendi kamir, Kamiruddin Amhy Khairil Anwar Kumar Vivek Latif, Nuraida lmi Ayu Melani Lusi Dwi Putri M. Alfira Yuningsih M. Ali Fikri M. Hafiz Azikra M. Saipul Watoni Mahmud Mustapa Mansyur Martiana, Andri Mashidayati Masriadi Matalangi Maulida, Ihdalhubbi Maulizar Mawazid, Zidni Moseki, Usina Robert MUCHLIS Muh Akbar Muh. Ilham Ramadhan Muhammad Ali Muhammad Faqih Bafadal Muhammad Jufri Muhammad Taufiq MUHAMMAD YUSUF Muhlis Mukhlis Mulya Agustin Musa, Pardi Mustika, Nur Nabila, Sri Nurul Nadila Ramadani Nahdi Saubari Nasrullah Nasrullah Bin Sapa Nasrullah Bin Sapa Neneng Awaliah Nikmah Marzuki, Sitti Ningrum, Dian Cahya Novi Arista Nur Filda Yani Sitania Nurfadhila NURUL AZIZAH Oluwaseun Tobechukwu Pathak, Vijey North Sandep Perdiyanto Pratiwi Puja, Avrilia Putra, Aditya Pratama Rahman, Md. Shahinoor Rahmania Rahwanto, Sitta Fikria Ramadhani, Dina Ridzky Prasetyo Rini Setyowati Risa, Steviana Robbi Rahim RR. Ella Evrita Hestiandari Rudy Ansari, Rudy S, Cahaya Rahmadani Safri Haliding Samsul Samsul Sari, Abel Permata Sauna Andika Islami Silvan Kasrah Siti Aslamyah Sitti Fakhriyyah Slamat Fitriyadi Sonni, Alem Febri Sopan Hidayat Subhani Sudika, Aryandi Sudirman Sumarlin SUMARNI Supriadi Supriadi Sahibu Syahrul Taliang, Askar Taliding, Arianto Tio Pramana Aribawa Trimulato Trimulato Trimulato Trimulato Trimulato, Trimulato Usman Windarsyah Windarsyah Wisda Yayan Priyantono Yusram adi Zulfahita