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All Journal Jupiter Techno.Com: Jurnal Teknologi Informasi Jurnal Simetris Jurnal sistem informasi, Teknologi informasi dan komputer Jurnal Ilmiah KOMPUTASI Jurnal Riset Informatika Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Community Development Journal: Jurnal Pengabdian Masyarakat Infotech: Journal of Technology Information Jurnal Teknik Informatika (JUTIF) Journal of Business and Audit Information System (JBASE) KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Abdi Masyarakat Indonesia Jurnal Inovasi Pengabdian dan Pemberdayaan Masyarakat Jurnal Sistem Informasi dan Manajemen The Indonesian Journal of Computer Science Jurnal Media Digital
Ade Davy Wiranata
Universitas Muhammadiyah Prof. Dr. HAMKA Jakarta, Indonesia
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Library & Information Science Mathematics Public Health Social Sciences

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Journal : Infotech: Journal of Technology Information

 1 
PEMILIHAN DOSEN PEMBIMBING SKRIPSI TERBAIK MENGGUNAKAN METODE COMPOSITE PERFORMANCE INDEX (CPI) Muryono, Tupan Tri; Wiranata, Ade Davy; Sudaryana, I Ketut; Irwansyah, Irwansyah
Infotech: Journal of Technology Information Vol 8, No 1 (2022): JUNI
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v8i1.132

Abstract

Lecturers are professional educators and scientists with the main task of transforming, developing, and disseminating science, technology, and art through education, research, and community service. The problem in this research is that the process of selecting the best thesis lecturer is still subjective without considering the criteria and weighting factors and is also done manually resulting in the selection process being less effective and efficient. The method used in this research is the Composite Performance Index (CPI). Methods of data collection techniques by means of observation, interviews, documentation. From this research, the result is that the CPI method can help in selecting the best thesis supervisor and also the first rank is A6 with a value of 500, the second rank is A4 with a value of 470, and the third rank is A2 with a value of 445.
KOMPARASI ALGORITMA DECISION TREE, NAIVE BAYES DAN K-NEAREST NEIGHBOR UNTUK MENENTUKAN KUALITAS UDARA DI PROVINSI DKI JAKARTA Irwansyah, Irwansyah; Wiranata, Ade Davy; M, Tupan Tri
Infotech: Journal of Technology Information Vol 9, No 2 (2023): NOVEMBER
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v9i2.203

Abstract

Air quality in DKI Jakarta Province refers to the state and cleanliness of the air in the area at a given time. The type and concentration of air pollutants are among the indicators used to assess air quality. DKI Jakarta's air pollution is severe, causing respiratory irritation, respiratory illnesses, and long-term health issues such as cardiovascular disease and lung cancer. Air pollution can also harm the environment by limiting visibility and harming ecosystems. The problem with the research is that no appropriate and relevant features for predicting air quality were used. The goal of this study is to identify and compare algorithms with the highest accuracy between decision trees. In determining air quality, naive Bayes and k-nearest neighbor are used. According to the findings of the K-5fold evaluation process performed with the RapidMiner tool, the accuracy of the Decision Tree algorithm was 95.89%, the accuracy of the Nave Bayes algorithm was 93.15%, and the accuracy of the K-NN algorithm was 91.78%. Based on these findings, the decision tree method has the greatest or best accuracy when compared to the Nave Bayes and K-NN algorithms.
SISTEM PAKAR DETEKSI KERUSAKAN JARINGAN LOCAL AREA NETWORK (LAN) MENGGUNAKAN METODE BECKWARD CHAINING BERBASIS WEB Irwansyah, Irwansyah; Wiranata, Ade Davy; Muryono, Tupan Tri; Budiyantara, Agus
Infotech: Journal of Technology Information Vol 8, No 2 (2022): NOVEMBER
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v8i2.150

Abstract

The form of computer network connection can be via cable or wireless such as fiber optic, microwave, wireless, or satellite. One type of computer network that is often used to connect personal computers and workstations in an office or an organization, company or factory for the use of shared resources is a local area network. The purpose of this research is to analyze, design and create an application that can detect damage to Local Area Network (LAN) networks. The research method used is backward chaining. The results of this study are applications that can detect damage to local area networks using the web-based backward chaining method. With this expert system application, it can speed up and make it easier to detect damage to Local Area Network networks.
KLASIFIKASI DATA MINING UNTUK MENENTUKAN KUALITAS UDARA DI PROVINSI DKI JAKARTA MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBORS (K-NN) Wiranata, Ade Davy; Soleman, Soleman; Irwansyah, Irwansyah; Sudaryana, I Ketut; Rizal, Rizal
Infotech: Journal of Technology Information Vol 9, No 1 (2023): JUNI
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v9i1.164

Abstract

Air plays an important role in maintaining the life of living things on earth. Metabolic processes that occur in the bodies of living things cannot take place without oxygen from the air. The air pollution problem in DKI Jakarta is very serious and can cause health problems such as irritation of the respiratory tract, respiratory diseases, and long-term health problems such as cardiovascular disease and lung cancer. Air pollution can also affect environmental quality, reduce visibility, and damage ecosystems. The purpose of this study is to determine the accuracy of classifying air quality in DKI Jakarta province. The data mining method that the author uses is the K-Nearest Neighbors (K-NN) algorithm. From the results of the evaluation process of the K-Nearest Neighbors (K-NN) algorithm using the K-5 fold that has been carried out using the RapidMiner tool, the results of K-2 fold accuracy of 73.97%, K-3 fold accuracy of 72.60%, K-4 fold accuracy of 72.60%, and K-5 fold accuracy of 75.35%.
DEVELOPMENT OF ASSET INVENTORY MANAGEMENT INFORMATION SYSTEM USING THE DELONE AND MCLEAN SUCCESS MODEL APPROACH Murniasih, Intan; Wiranata, Ade Davy
Infotech: Journal of Technology Information Vol 10, No 2 (2024): NOVEMBER
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v10i2.321

Abstract

Because the number of devices is very large, more than 9000 devices, a tiered process is needed in the distribution of these devices to provide accurate data and smooth distribution. Currently, the device distribution process used by employees is still not good, due to the lack of proper integration and coordination between employees, asset admins, and IT regarding the use and maintenance of these devices. Every year, there is always a system for replacing (updating) employee devices, which causes asset admins and IT to have difficulty in carrying out their tasks, often hindering the device distribution data process and making manual recording an alternative. In this case, manual data recording often gets lost or misplaced and is not recorded in the system. The business process of asset inventory data management is not up-to-date. To improve the existing Asset Inventory Management system, the development of a new web-based asset inventory system is needed, which is expected to assist in the management activities of the company's asset inventory until its implementation. The measurement or testing of the Delone and McLean (2003) success model displays the contribution of the Information System renewal based on the quality dimensions of the updated model. Based on the analysis results, the data is classified into five main categories: Very Good (84.01% - 100%), Good (68.01% - 84.00%), Fair (52.01% - 68.00%), Poor (36.01% - 52.00%), and Very Poor (20.00% - 36.00%). This classification provides a clear picture of the distribution of values or performance, making it possible to evaluate and identify the level of success or the need for improvement in various analyzed aspects. Thus, this table serves as a guide in prioritizing and making data-based decisions.ABSTRAKKarena jumlah perangkat yang sangat besar lebih dari 9000 perangkat, membutuhkan tingkatan proses dalam pendistribusian perangkat – perangkat tersebut untuk menyajikan data yang akurat dan kelancaran pendistribusian perangkat. Pada saat ini, proses pendistribusian perangkat yang digunakan oleh karyawan masih kurang baik, karena masih kurangnya kordinasi yang belum terintegrasi secara benar antara karyawan, Admin aset, IT mengenai penggunaan dan pemeliharaan perangkat tersebut. Dalam setiap tahunya selalu terjadi sistem pergantian perangkat (pembaharuan perangkat) karyawan, Hal ini mengakibatkan admin aset dan IT kesulitan dalam melaksanakan pekerjaanya, sehingga sering terhambat dalam proses pendataan distribusi perangkat dan menjadikan pencatatan manual menjadi alternatifnya. Dalam hal ini pendataan yang manual sering kali hilang atau terselip dan belum tercatat disistem. Proses bisnis pendataan persediaan asset yang kurang terupdate. Untuk memperbaiki proyak sistem Asset Inventory Management yang sudah berjalan selama ini dibutuhkan pengembangan sistem asset inventory yang baru berbasis website, yang diharapkan mampu membantu aktivitas pengelolaan Asset inventory perusahaan sampai dengan implementasinya. Pengukuran atau pengujian model kesuksesan Delone and McLean (2003), menampilkan kontribusi pembaharuan Sistem Informasi berdasarkan dimensi kualitas model yang diperbaharui. Berdasarkan hasil analisis, data diklasifikasikan ke dalam lima kategori utama, yaitu Sangat Baik (84,01% - 100%), Baik (68,01% - 84,00%), Cukup (52,01% - 68,00%), Kurang (36,01% - 52,00%), dan Sangat Kurang (20,00% - 36,00%). Klasifikasi ini memberikan gambaran yang jelas tentang distribusi nilai atau performa, sehingga dapat digunakan untuk mengevaluasi dan mengidentifikasi tingkat keberhasilan atau kebutuhan perbaikan dalam berbagai aspek yang dianalisis. Dengan demikian, tabel ini berfungsi sebagai panduan dalam penentuan prioritas dan pengambilan keputusan berbasis data.
PENERAPAN APLIKASI MANAJEMEN LABORATORIUM PADA DINAS PERTANIAN DAN PERIKANAN KOTA BANJARMASIN Wiranata, Ade Davy; Rachman, Hafid Sulistyo; Saifudin, Yazid
Infotech: Journal of Technology Information Vol 6, No 2 (2020): NOVEMBER
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v6i2.90

Abstract

The Banjarmasin City Agriculture and Fisheries Office in providing innovation desperately needs a management that can manage an organization to be more structured with the specified procedures. The problem in this study is that there is no application program for processing data. The purpose of this research is to create and implement management applications that can help facilitate and accelerate the management of laboratory data at the Banjarmasin City Agriculture and Fisheries Office. The data collection methods used are interviews, observations, and review literature while the research methods used use SDLC waterfall. The result of this research is that the application that has been created can be used to facilitate and speed up the processing of data at the Office of Agriculture and Fisheries Banjarmasin City.
ANALISIS SENTIMEN TERHADAP MINAT MASYARAKAT JAKARTA YANG MEMILIH KENDARAAN UMUM MENGGUNAKAN ALGORITMA NAÏVE BAYES Dewanto, Yogga Tolly; Wiranata, Ade Davy; Sulaeman, Mia Kamayani
Infotech: Journal of Technology Information Vol 11, No 2 (2025): NOVEMBER
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v11i2.407

Abstract

The worsening traffic congestion in Jakarta highlights the need to understand public interest in using public transportation. Social media platforms such as X serve as valuable sources of real-time public opinion data. This study aims to analyze the sentiments of Jakarta residents toward public transportation to identify the factors influencing their interest in using it. Data was collected from X and analyzed using the Naïve Bayes algorithm through the RapidMiner application. The analysis was conducted by splitting the dataset into 60% training data and 40% testing data. The results of the study show 203 positive sentiment data, 135 negative sentiment data, and 138 neutral sentiment data. Positive sentiments were mostly associated with affordability and ease of access, while negative sentiments were related to discomfort and lack of punctuality. This research is expected to serve as a reference for policymakers in improving the quality of public transportation services in Jakarta.
TINJAUAN SISTEMATIS QUALITY OF SERVICE PADA LAYANAN JARINGAN SOFTWARE DEFINED NETWORKING Wiranata, Ade Davy; Sunardi, Sunardi; Riadi, Imam
Infotech: Journal of Technology Information Vol 11, No 2 (2025): NOVEMBER
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v11i2.422

Abstract

Software-Defined Networking (SDN) offers revolutionary flexibility and centralized management, yet ensuring reliable Quality of Service (QoS) for various applications remains a primary challenge. Although extensive research on QoS in SDN has been published, the proposed architectures, methods, and evaluation metrics are often disparate and complex. Consequently, A discernible gap exists in the current literature regarding a comprehensive survey of the research landscape for QoS in SDN. This literature review aims to identify and analyze the research trends, architectures, methods, and metrics related to QoS in SDN published between 2020 and 2025. Based on inclusion and exclusion criteria, 80 studies on QoS in SDN were identified. The analysis reveals four main research topics: Resource Management (45%), QoS-aware Routing (30%), Traffic Classification (20%), and QoS Security (5%). The majority of studies (70%) utilize simulation environments such as Mininet, while 30% employ physical testbeds In terms of methodology, it was found that mathematical optimization approaches such as Mixed-Integer Linear Programming (MILP) are still the most frequently implemented. However, there is a very clear trend of increasing proposals for Machine Learning (ML)-based methods, particularly Reinforcement Learning, as a solution for dynamic QoS management. This review provides a holistic view for researchers and practitioners to understand the current state and future direction of QoS research in SDN environments.
SISTEM APLIKASI PELAPORAN KEGIATAN UKM MUSIK DI UNIVERSITAS LIA DENGAN METODE WATERFALL Murniasih, Intan; Candra, Ariya Pannadhitthana; Wiranata, Ade Davy
Infotech: Journal of Technology Information Vol 11, No 2 (2025): NOVEMBER
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v11i2.558

Abstract

The Music Student Activity Unit (UKM) is one of the UKM that accommodates student organizations in universities to hone the skills of members and administrators in channeling the talents and interests of students in the field of music arts, ranging from traditional music to modern music to be staged in order to preserve culture through certain events both held at LIA University and off-campus events. This study discusses the application used for reporting music UKM activities at LIA University using the Waterfall model. The purpose of creating this application is to make it easier to report on music UKM activities, especially at LIA University. In addition, this application can also accelerate decision-making in the organization of the music UKM. The waterfall model in this study was chosen because it can adapt to the changing needs of music UKM users. The process of creating this application is made through several stages, namely: system needs analysis, design, implementation/coding, testing, evaluation. The results of this study are in the form of an application with features for reporting activities, as well as a dashboard of music UKM activity reports. Application trials show that users find it easier to report and access information on activities carried out by music UKM administrators. Users consisting of administrators and members of music UKM. This trial aims to get feedback on the functionality and interface of the app. The test results show that: 95% of users feel that the app is easy to use and the interface is intuitive. 90% of users stated that the activity reporting feature is very helpful in documenting music UKM activity reports, especially at LIA University. 85% of users appreciate the notification feature that helps them remember reporting deadlines. However, some users also provided feedback for improvements, including: Added a feature to upload photos of activities. Increased app access speed during peak hours. This research is expected to make a positive contribution to the development of applications within LIA University, especially music UKM.
Co-Authors Al-Tain, Qolibu Rozak Aldisa, Rima Tamara Asruddin Asrul Sani Azhar, Nur Chalik Baktiar, Muhammad Yusuf Budiyantara, Agus Candra, Ariya Pannadhitthana Catur Nugroho Cleary Syafi'i, Akbar Dede Irawan Deni Mahdiana Deni Mahdiiana Dewanto, Yogga Tolly Dzikrillah, Ahmad Rizal Elvinaadellia, Elvinaadellia Erik, Muhammad Erizal Erizal Fadhilah, Ash Shoffi Hana Fakhriyyah , Alma Nisa Firmansyah, Firadaus Fitria Nur Hasanah Gunadi, Reza Haderiansyah Haderiansyah Haderiansyah Haderiansyah Hamimuddin, Moch I Ketut Sudaryana, I Ketut Imam Riadi Irwansyah Irwansyah Irwansyah Irwansyah Iswahyudi Iswahyudi Jazuli, Umar Jefri Kusuma Rambe M, Tupan Tri MA'MUN, AKHMAD HAQIQI Makmun, Akhmad Haqiqi Maulana, Ninda Baitza Meitiyani, Meitiyani Miftahuddin Miftahuddin Mirza Sutrisno Muhammad Efrizal Febriyan Muhammad Iqbal Mukhtar, Ahmad Amirrudin Murniasih, Intan Muryono, Tupan Tri Mutiarawan, Rezza Anugrah Nunik Pratiwi Rabbani, Abrar Dyah Rachman, Hafid Sulistyo Rafie Rafie Rahardjo, Rafi Diandra Dani Rayhan Suwito Rezza Anugrah Mutiarawan Ridha Faiz Ananda Rima Tamara Aldisa Rima Tamara Aldisa Riza Alamsyah Rizal Rizal Rosalina Rosalina Saifudin, Yazid Sinduningrum, Estu Soleman, Soleman Sulaeman, Mia Kamayani Sulistiawati Sulistiawati Sunardi Sunardi Sutrisno, Mirza Syakura, Rais Abdan Widodo, Muhammad Adnan