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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) BERKALA FISIKA SAINS DAN MATEMATIKA JURNAL SISTEM INFORMASI BISNIS Jurnal Penelitian dan Pengembangan Pendidikan YOUNGSTER PHYSICS JOURNAL Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Geoplanning : Journal of Geomatics and Planning Jurnal Ilmiah Kursor Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Edukasi dan Penelitian Informatika (JEPIN) Scientific Journal of Informatics Register: Jurnal Ilmiah Teknologi Sistem Informasi JOURNAL ONLINE OF PHYSICS Jurnal Penelitian Pendidikan IPA (JPPIPA) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control IRJE (Indonesian Research Journal in Education) Journal of Physics and Its Applications Jurnal Sisfokom (Sistem Informasi dan Komputer) JURNAL METEOROLOGI DAN GEOFISIKA Journal of Electronics, Electromedical Engineering, and Medical Informatics Indonesian Journal of Electrical Engineering and Computer Science Jurnal Aisyah : Jurnal Ilmu Kesehatan Journal of Social Research TAKSONOMI Jurnal Ekonomi, Teknologi dan Bisnis Journal of Emerging Science and Engineering Jurnal INFOTEL Sainteknol : Jurnal Sains dan Teknologi
Rahmat Gernowo
Department Of Physics, Faculty Of Science And Mathematics, Diponegoro University, Semarang
Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Veterinary Other

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Journal : JURNAL SISTEM INFORMASI BISNIS

 1 
Data-Based Fuzzy TOPSIS for Alternative Ranking Utomo, Victor; Gernowo, Rahmat; Sugiharto, Aris
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 3, No 2 (2013): Volume 3 Nomor 2 Tahun 2013
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (279.098 KB) | DOI: 10.21456/vol3iss2pp104-108

Abstract

Technique for Order Preference by Similarity (TOPSIS) solves multi-criteria decision making (MCDM) by ranking the alternatives. When the attributes are not deterministic, a Fuzzy TOPSIS method is applied. The traditional fuzzy TOPSIS depends on decision makers to determine alternative’s value which considered subjective. A new method named data-based fuzzy TOPSIS proposed to diminish the dependency to decision maker. The proposed algorithm use data to determine alternative’s values objectively. Subtractive Clustering (SC) and Fuzzy C-Mean (FCM) selected to transform crisp value data to fuzzy value data. Some modification applied to SC and FCM to obtain fuzzy triangular value needed by fuzzy TOPSIS.  Keyword : Index Terms—Decision support systems,  fuzzy TOPSIS, fuzzy C-mean, subtractive clustering
The Prediction of Bandwidth On Need Computer Network Through Artificial Neural Network Method of Backpropagation Mekongga, Ikhthison; Gernowo, Rahmat; Sugiharto, Aris
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 2, No 2 (2012): Volume 2 Nomor 2 Tahun 2012
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (971.992 KB) | DOI: 10.21456/vol2iss2pp098-107

Abstract

The need for bandwidth has been increasing recently. This is because the development of internet infrastructure is also increasing so that we need an economic and efficient provider system. This can be achieved through good planning and a proper system. The prediction of the bandwidth consumption is one of the factors that support the planning for an efficient internet service provider system. Bandwidth consumption is predicted using ANN. ANN is an information processing system which has similar characteristics as the biologic al neural network.  ANN  is  chosen  to  predict  the  consumption  of  the  bandwidth  because  ANN  has  good  approachability  to  non-linearity.  The variable used in ANN is the historical load data. A bandwidth consumption information system was built using neural networks  with a backpropagation algorithm to make the use of bandwidth more efficient in the future both in the rental rate of the bandwidth and in the usage of the bandwidth.Keywords: Forecasting, Bandwidth, Backpropagation
Penerapan Model Certainty Factor Untuk Mendeteksi Gejala Kanker Mulut Rahim Mariana, Novita; Gernowo, Rahmat; Noranita, Beta
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 2, No 3 (2012): Volume 2 Nomor 3 Tahun 2012
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol2iss3pp152-159

Abstract

An expert system is a system that seeks to adopt human expertise so that computers can do things that can be done by an expert to solve specific problems. Experts in this case is an expert in the field to address the problem under on detecting cervical cancer. Cervical cancer is a disease that is very afraid of all women because it attacks the reproductive organs caused by the virus Human Papilloma Virus (HPV). The system is made to detect cervical cancer using the certainty factor with a forward chaining inference engine. Certainty factor method used in cervical cancer detection system to give certainty to the disease. As a result of this information system is to provide information regarding the statement of cervical cancer and cancer treatment solution according to the stage.   Kata kunci : Certainty Factor; Forward Chaining; Kanker Mulut Rahim
Rancang Bangun Sistem Peramalan Konsumsi Daya Listrik dengan Artificial Neural Network Backpropagation Sinta, Radini; Gernowo, Rahmat; Suryono, Suryono
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 3, No 1 (2013): Volume 3 Nomor 1 Tahun 2013
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (6289.735 KB) | DOI: 10.21456/vol3iss1pp48-58

Abstract

Jaringan saraf tiruan model jaringan layar jamak yang diimplementasikan dengan menggunakan program komputasi untuk menyelesaikan masalah yang kompleks melalui proses perhitungan dengan algoritma Backpropagation. Salah satu masalah yang dapat dipecahkan adalah sistem peramalan berdasarkan data time series, data time series untuk data masukan adalah data konsumsi daya listrik dalam satuan kWh pada LWBP dan WBP, data okupansi tahun 2011. Jaringan yang sudah dilatih menghasilkan akurasi peramalan MSE pada LWBP     7,48738e-12, MSE pada WBP 1,11035e-10, dan MAPE pada LWBP 1,6141e-9%, MAPE pada WBP 2,50e-8%, untuk jaringan yang tidak dilatih dapat meramalkan konsumsi daya listrik dengan uji validitas pada LWBP R = 0,837, dan pada WBP R = 0,835. Pada pelatihan dan pengujian sistem optimal dengan 8 neuron pada lapisan tersembunyi.   Katakunci: Jaringan Saraf Tiruan; algoritma Backpropagation; data time series; sistem peramalan.  
Kombinasi Analytical Hierarchy Process, C4.5, dan Particle Swarm Optimization pada Klasifikasi Pegawai Dafiz Adi Nugroho; Catur Edi Widodo; Rahmat Gernowo
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 12, No 2 (2022): Volume 12 Nomor 2 Tahun 2022
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol12iss2pp81-88

Abstract

Decision Tree C4.5 is widely implemented in various research fields in determining classification, but there are still weaknesses in Decision Tree C4.5, one of which is that it cannot rank each alternative. In this study, to overcome the weakness of Decision Tree C4.5, a combination of Analytical Hierarchy Process (AHP) methods, Decision Tree C4.5, and Particle Swarm Optimization (PSO) methods is proposed in the case study of employee classification for promotion recommendations. The research begins by determining the criteria and weighting criteria from the interview results which are then processed with AHP to produce employee ratings and eligibility labels for the classification process. The classification process uses the Decision Tree C4.5 method which is optimized with the PSO algorithm so as to produce employee eligibility data for promotions. The results of the combined research of AHP, Decision Tree C4.5, and PSO methods show that AHP can produce employee ratings based on performance and potential criteria, and Decision Tree C4.5 classification and optimization with PSO have better accuracy results, namely 95.80% compared to Decision Tree C4.5 method without PSO optimization is 93.40%. Based on the results of the ranking and classification of this research can be used as a basis for promotion of employees.
Sistem Informasi Manajemen Pengumpulan dan Pengangkutan Sampah Padat dengan Efisiensi Rute Menggunakan K-Means Clustering dan Travelling Salesman Problem Munji Hanafi; Budi Warsito; Rahmat Gernowo
JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 12, No 2 (2022): Volume 12 Nomor 2 Tahun 2022
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21456/vol12iss2pp106-115

Abstract

The increasing population growth and rapid urbanization have resulted in large amounts of solid municipal waste (SMW). Nowadays, the problem of waste management is a problem that is being experienced by every country in the world. As a result, implementing efficient waste management strategies is increasingly needed. The collection and transportation of solid waste is the most important thing to pay attention to in waste management efficiency to reduce the costs of collecting and transporting solid waste. The research started by collecting data and interviewing the environmental services of Semarang City about the waste transportation system in Semarang City. The results of the data and interviews will then be used as a reference for the system analysis to be made. Then proceed with designing information systems. After that, the information system was developed by applying the Traveling Salesman Problem (TSP) method using a heuristic in the form of K-means Clustering. With the help of OR-Tools, TSP completion does not require node distance, just inputting the coordinates of each node. The study closed system testing. This research proposes a new approach to solving TSP. First is the process of assembling nodes into several clusters. Then, look for the shortest route in each cluster. The research resulted in 21 routes in 16 corridors to transport waste in Semarang City, presented on a map on a web-based Information System as Decision Support System (DSS). The comparison of the methods shows that TSP is the most suitable for this case.
Implementasi E-Commerce dengan Sistem Informasi Rekomendasi menggunakan Metode Collaborative Filtering untuk Pengembangan Penjualan pada UMKM Khusnah, Miftakhul; Gernowo, Rahmat; Surarso, Bayu
Jurnal Sistem Informasi Bisnis Vol 15, No 1 (2025): Volume 15 Number 1 Year 2025
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss1pp134-141

Abstract

MSMEs are one of the micro businesses that are carried out to improve the prosperity of home industry, the majority of MSMEs still carry out traditional business processes, but in the current era, product sales can be done anywhere, such as running an online business through e-commerce. The ease of this online business helps MSMEs to develop sales globally,  so e-commerce is needed which will be aquipped with a recommendation information system for sales development in MSMEs. This research aims to implement a recommendation information system in e-commerce using the collaborative filtering method. This method was chosen because of its advantages in producing more accurate recommendations using MSME data, consumer data, and rating data. From the process carried out, the results show that this system provides product recommendations with the highest predictive value, namely M1 is product RSM with a predictive value of  0,5. M3 is product RPC with a predictive value of  0,03. M4 is product RKK with a predictive value of  1. M6 is product RKC with a predictive value of  0,88 which will be displayed to consumers and provide an effective and efficient marketing platform.
Implementation of Project Management in the Development of an Android-Based Household Waste Monitoring System using JIRA Software Bunga, Munengsih Sari; Gernowo, Rahmat; Ishlakhuddin, Fauzan; Mulyani, Esti; Fikri, Moh Ali; Rosyalia, Syofi
Jurnal Sistem Informasi Bisnis Vol 15, No 2 (2025): Volume 15 Number 2 Year 2025
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/vol15iss2pp204-210

Abstract

The increasing amount of household waste presents a major environmental challenge, worsened by inefficient and outdated waste management practices. Traditional systems lack real-time monitoring and responsiveness, creating a gap in timely waste management. This research introduces a creative solution through the development of an Android-based Household Waste Monitoring System, integrating Internet of Things (IoT) technology to provide real-time data on waste bin capacities and immediate notifications. Unlike conventional approaches, this system creatively bridges the gap by enabling proactive waste management through instant alerts and real-time tracking, allowing users to act before issues escalate. The system development follows an Agile/Scrum framework, fostering rapid iteration and user-driven enhancements. Through the innovative application of IoT and Agile methodologies with JIRA Software, this solution effectively addresses the inefficiencies of current waste management systems, as evidenced by an 80% success rate across five testing activities. This creative approach not only improves development efficiency but also accelerates adaptability in response to evolving waste management needs.
Co-Authors Adi Wibowo Adiyono, Soni Agus Setyawan Agus Sutejo Agusta Praba Ristadi Pinem Ahmad Lubis Ghozali Aldi Setiawan, Aldi Andryani, Ria Annisa Luthfianti Panular Ardima, Muhammad Basyier Arfriandi, Arief Ari Bawono Putranto Aria Hendrawan, Aria Aries Dwi Indriyanti, Aries Dwi Aris Sugiharto Atik Zilziana Muflihati Noor Bayong Tjasyono H. Kasih Bayu Surarso Beta Noranita Budi Prasetiyo, Budi Budi Warsito Budi Warsito Catur Edi Widodo Cholil, Saifur Rohman Christine Dewi D Febrianty Dafiz Adi Nugroho Dedy Kurniadi Edi Surya Negara Eko Nur Hidayat Eko Sediyono F M Arif Faliha Muthmainah Fauzan Ishlakhuddin Frysca Putti Muviana Ghufron Ghufron Gumay, Naretha Kawadha Pasemah Hengki Hengki Heri Mulyanti Hidayat, Agung Rahmad I. Istadi Ikhthison Mekongga Iryanto Iryanto Ismi Dian Kusumawardhani Isnain Gunadi Istadi I’tishom Al Khoiry Khusnah, Miftakhul Koesuma, Sorja Kuresih, Kuresih Kurnia Adi Cahyanto Kusworo Adi M. Solehuddin Mahrus Ali Michael Andreas Purwoadi Moh Ali Fikri Muchammad A Rofik Mulyani, Esti Munengsih Sari Bunga Munji Hanafi Nabiel Putra Adam, Nabiel Putra Novita Mariana Nuriyana Muthia Sani Nuriyana Muthia Sani Nursamsiah Nursamsiah Oky Dwi Nurhayati Prayitno R. Rizal Isnanto Radini Sinta, Radini Ratih Rundri Utami Rosyalia, Syofi Sakhina, Friska Ayu Setiabudi, Nur Andi Shahmirul Hafizullah Imanuddin Siti Yuniar Pangestu Slamet, Vincencius Gunawan Suryono Suryono Syibli, Mohammad Tri Mulyono Triyono, Liliek Victor Gayuh Utomo Wahyu Jatmiko Wahyul Amien Syafei Wicaksana, Hilman Singgih Widagdo, Krisan Aprian Widiyatmoko, Carolus Borromeus Wulandari, Rosita Ayu Yenny Ernitawati Zaenal Arifin