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Jurnal Sisfokom (Sistem Informasi dan Komputer)
Published by Sekolah Tinggi Manajemen Informatika dan Komputer Atma Luhur
ISSN : 23017988     EISSN : 25810588     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management
Jurnal Sisfokom merupakan singkatan dari Jurnal Sistem Informasi dan Komputer. Jurnal ini merupakan kolaborasi antara sivitas akademika STMIK Atma Luhur dengan perguruan tinggi maupun universitas di Indonesia. Jurnal ini berisi artikel ilmiah dari peneliti, akademisi, serta para pemerhati TI. Jurnal Sisfokom diterbitkan 2 kali dalam setahun yaitu pada bulan Maret dan September. Jurnal ini menyajikan makalah dalam bidang ilmu sistem informasi dan komputer.
Arjuna Subject : -
Articles 23 Documents
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Search results for , issue "Vol 9, No 2 (2020): JULI" : 23 Documents clear
Analisis Pengelompokan Peraturan Kementerian dengan Menggunakan K-Means Clustering Resistania Anggita Putri; Nida Inayah Maghfirani; Galih Rendi Setyawan; Adam Achmad Rayhan; Nur Aini Rakhmawati
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 9, No 2 (2020): JULI
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v9i2.817

Abstract

Thousands Ministry Regulations are found in Indonesia shows that it is a big number. These regulations are intended to focus on various fields in order to be upheld in the public interest. It has recently been discovered that the numbers are increasing and some are no longer enforced. Clustering in data mining can be used to find out the focus of problems are often discussed at each ministry. The method that will be used for clustering ministry regulation data is the K-Means algorithm. K-Means is a non-hierarchical data clustering method partitions data into clusters so data that has the same characteristics will be grouped into one cluster and data that has different characteristics will be grouped into another cluster. This research was conducted by conducting data collection, data cleaning, data processing, and visualization of the results. The results of this paper are grouping the best ministerial regulations into four clusters that have an inertia value of 405.142786991133. Cluster 0 is a collection of regulations on the empowerment of children, women, and victims of violence. Cluster 1 is a collection of regulations on environmental policies in both flora and fauna. Cluster 2 is a collection of regulations relating to science and professionalism. Cluster 3 is a collection of regulations relating to the safety of the creative economy in the field of tourism.
Application of the TROPOS Method to Development a Website-Based Blood Stock Management System at Palang Merah Indonesia (PMI) in Bandung City Rinda Firma Violita; Sri Widowati; Prati Hutari Gani
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 9, No 2 (2020): JULI
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v9i2.856

Abstract

Palang Merah Indonesia (PMI) is a social organization in the city of Bandung. In the business process, the blood donor section has not used any software that satisfies the need to connect communities and PMI on blood donor information. So it takes software that can help the process of running blood donor business to minimize the problems that occur such as human error and not spread information about blood supply. RE (Requirement Engineering) is an early stage as an important task, as many software failures come from inconsistent, incomplete or just wrong specification requirements. In RE there is a process that is requirement analysis to do analysis of user needs. Goal Oriented Requirements Engineering (GORE) is one of the models that can be used to analyse user needs. One method on the GORE model is the TROPOS method. The use of TROPOS on the development of the blood stock management software to focus on the needs analysis on the stages of modeling early requirement and late requirement. The results of the analysis are implemented into web software design. Software that has been created based on the modeling evaluated using BlackBox Testing with user acceptance test (UAT) by stakeholders. Based on the results of the assessment UAT score, the results of the respondents assessment is 3.55%, so that the blood stock management software can be used as a supporting tool to run the blood stock business process of PMI.
Implementasi Algoritma Apriori Untuk Menentukan Stok Obat Winanda Delrinata; Fernando B Siahaan
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 9, No 2 (2020): JULI
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (436.272 KB) | DOI: 10.32736/sisfokom.v9i2.875

Abstract

The supply of drugs in a pharmacy is very important to maintain the fulfillment of consumer needs based on a doctor's prescription. Problems arise due to limitations on the expiry date of each drug, this needs to be overcome so that there is no buildup of drug stocks at the pharmacy so that it causes losses because there are types of drugs that have expired in sufficient quantities, therefore we need data mining that can determine which pattern of drug type works best, using a priori algorithm. The association method is needed to see the correlation between a number of attributes for example if a consumer buys drug A then he will buy drug B as well. A priori analysis to determine the minimum conditions for support and confidence. The conclusion of this research is that if you buy amlodipine 5 mg, you will buy sanmol, this is obtained from 33.33% support and 66.66% confidence, if you buy 500 mg amoxan, you will buy sanmol with a support value of 41.66% and confidence 71, 42% and if you buy sanmol, you will buy amoxan 500 mg with a support value of 41.66% and confidence 62.50%.
Penentuan Penerimaan Usulan Penelitian Internal Dosen Menggunakan Metode Profile Matching Vivi Sahfitri
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 9, No 2 (2020): JULI
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (708.092 KB) | DOI: 10.32736/sisfokom.v9i2.802

Abstract

A Lecturer as an educator in Higher Education System has an obligation to fulfill the Tri Dharma University which consists of Education, Research and Community Service. A research, which is a part of the lecturer responsibility, shall be conducted in various activities with the cost coming from a wide range of sources. Bina Darma University through the Research and Community Service Institute has an agenda to administer Internal Research Grants which aim to facilitate and motivate Lecturers in the research activities. The assessment of Research proposal is carried out by a reviewer appointed directly by the institution. The reviewer has a full right to determine whether the proposal would be funded or not. The reviewer's full right may affect the objectivity of assessment by the Reviewer which eventually would influence the final decision. Thus, this research aims to design a system for determining the acceptance of Internal Research proposals, that is by using the implementation of Profile Matching Method. The final result of the study shows that the final value of the research proposal which will get the first rank is the value of the ID PROP007 with the final value 4.55. Meanwhile, the lowest end value is 3.1 obtained by ID PROP004. The assessments criteria contained in the research proposal include abstract, introduction, literature review, research methodology, budget conformance and research schedule.
APLIKASI PENCARIAN RUTE TERPENDEK LOKASI KULINER KHAS PALEMBANG MENGGUNAKAN ALGORITMA EUCLIDEAN DISTANCE DAN A*(STAR) Dona Marcelina; Evi Yulianti
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 9, No 2 (2020): JULI
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1135.546 KB) | DOI: 10.32736/sisfokom.v9i2.827

Abstract

Palembang is one of the regions in Indonesia which is known for having culinary which has a distinctive and delicious taste. Besides having a distinctive taste, Palembang cuisine also has its own story related to the history of Palembang City and the development of people's lives there. The many types of culinary and culinary tourist attractions in the city of Palembang provide its own obstacles for tourists and local residents in choosing a culinary meal and the route to the culinary location. The solution to the problem proposed is to make the application for the shortest route search for culinary locations typical of Palembang using the Euclidean Distance and A * algorithm. Euclidean Distance algorithm which is a calculation of the distance from two points as a basis in finding the shortest route and gives the user information about the location that is around the user by comparing the distances and applying the A * algorithm as a basis in finding the shortest route using the smallest estimated cost to achieve the goals to be achieved, and has a heuristic value that is used as a basis for consideration. The final results of the study showed that the algorithm performed had a high degree of accuracy in determining the shortest culinary route location in Palembang, namely the Mean Mean percentage error (MAPE) of 4.4%.
Sistem Pendukung Keputusan Menggunakan Metode Weighted Product untuk Pemilihan Karyawan Terbaik UMKM ZainToppas Ardi Cahyadi Yudistira; Yunita Sartika Sari
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 9, No 2 (2020): JULI
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (508.87 KB) | DOI: 10.32736/sisfokom.v9i2.870

Abstract

Every company needs employees as a force that runs every activity in the corporate organization. In order to achieve the targets that have been compiled by the management, all employees should show maximum performance, therefore to improve the performance of employees so that the targets that have been drafted can be achieved, UMKM ZainToppas will give reward to the best employees that have been chosen, but in the selection of best employees ZainToppas has to implement the right decision support Based on this, it will be built a decision support system by using method weighted product to solve problems that occur in UMKM ZainToppas for the selection of the best employees who are entitled to receive reward in accordance with criteria-criteria that have been determined and more objective. The development of the system using waterfall method and scanning method of weighted product, the output of this system is an alternative that has the highest v vector value, the intended alternative is the employee, then the employee is entitled to receive the reward as the best employee.
Building Synsets for Indonesian WordNet using ROCK (Robust Clustering Using Links) Algorithm Mubaroq Iqbal; Moch. Arif Bijaksana; Widi Astuti
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 9, No 2 (2020): JULI
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v9i2.853

Abstract

On the development of Indonesian WordNet, the synonym set is an important part that represents the similarity of meaning between words. Synonym sets are built using the Indonesian Thesaurus as the lexical database. After going through the extraction process from the Indonesian Thesaurus, we will get a synonym set that has a similarity or word sense between words. In general, the difference between WordNet and the dictionary is their main focus, in which the dictionary usually focuses on just one word, while in WordNet the focus is on the meaning of words and connectedness with other words. Explained in previous research, the constructions of synonym sets were done using several approaches, which is clustering to produce synonym sets and WSD (Word Sense Disambiguation). In this article, the approach used to produce synonym sets is the ROCK (Robust Clustering Using Links) algorithm, which uses similarity and link values. The resulting synonym sets will then be used for lexical database development. Therefore, the main focus of this article is to produce synonym sets through the clustering process and calculate their accuracy, using the F-Measure method involving the gold standard for performance calculation and evaluation.
Sistem Informasi Penjualan Pada TB Harmonis Menggunakan Metode FAST R.M. Nasrul Halim
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 9, No 2 (2020): JULI
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v9i2.868

Abstract

The development of computerized technology requires many parties to compete in using a computerized system to improve the performance and effectiveness of a company or agency. Likewise with the Harmonis Bookstore (TB) which so far is still using the manual method in its sales system. This can affect performance and company profits. Overcoming this matter, TB Harmonis created a desktop-based computerized sales information system so that it can improve company performance to be fast, accurate and can do data processing on a large scale which can affect profit and can compete with other similar companies. The system development method in this study uses Framework for the Application of System Thinking (FAST) method. FAST is a combination of several systems development methods consisting of 7 phase of development. Modeling the system using UML consisting of use case diagrams, activity diagrams and class diagrams. The results of this study are book sales information systems which can improve the performance, effectiveness and efficiency of Harmonis TB Palembang.
Development Synonym Set for the English Wordnet Using the Method of Comutative and Agglomerative Clustering Munirsyah Munirsyah; Moch. Arif Bijaksana; Widi Astuti
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 9, No 2 (2020): JULI
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v9i2.855

Abstract

Wordnet is a collection of words that interpret or present a meaning, in its development Wordnet has an important part, the Synonym Set or Synset. In making Synonym sets, synonyms are needed and the commutative nature of words is needed. To get word synonyms, the English language thesaurus becomes the reference data for taking synonym data. Broadly speaking, the difference between Wordnet and the dictionary is that the meaning of the word is related to other words, to determine the equation requires a commutative process. The process is made easy by using commutative methods that will produce a candidate synonym set. Candidates for the synonym set cannot be used for word syntax, the grouping process of words which produces the Synonym set as the final result must be carried out. The process of grouping words can one of them use clustering techniques, in this study will use Agglomerative Clustering techniques. In the process of agglomerative clustering techniques there is a threshold value to determine the number of repetitions or as a condition to stop the iteration process. The clustering process in this study will use a threshold value of 0.1 to 1 to test the best threshold value to produce the best Synonym set and calculate its accuracy value. Accuracy calculation and evaluation will use the F-measure method to find the best results.
Implementasi Naives Bayes-Certainty Factor untuk Diagnosa Penyakit Menular Yudi Eko Windarto; Marfuah Marfuah
Jurnal Sisfokom (Sistem Informasi dan Komputer) Vol 9, No 2 (2020): JULI
Publisher : ISB Atma Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32736/sisfokom.v9i2.823

Abstract

One type of pet is Chicken (Gallus gallus domesticus). Chickens are the result of the domestication of red jungle fowl (Gallus gallus) which is most commonly kept throughout the world. These animals include animals that are easily maintained because they are good at adapting to various conditions of the place. Types of chickens include Broiler, Kedu, Nunukan, Pelung, Garut. Chicken disease can be caused by bacteria, parasites, and viruses. Sometimes the guards don't know that their pet chickens are sick. This can result in death due to delay in handling given. There are also owners who self-treat their chickens, without knowing clearly beforehand what diseases they are suffering from and what drugs are suitable for the disease. Other factors that influence the occurrence of this problem include the limited availability of veterinarians and are not always available at all times. Therefore, an alternative is needed that can provide convenience and ability like a veterinarian in diagnosing infectious diseases suffered by domestic chickens using the naïve bayes method - certainty based on android with 15 types of diseases including Avian influenza, Encephalomyelitis, Chlamydiosis, Pullorum, Fowl Typhoid , Chicken Pox, Chicken anemia syndrome, Helicopter Disease, Aspergillosis, Infectious Bursal Disease, Infectious Bronchitis, Diarrhea, Bacterial Pododermati, Pyotraumatic Dermatitis and Pyoderma. Analysis of test results is done by comparing the results of system diagnoses with the results of diagnoses performed by experts based on the input of the same symptoms from 50 test data, it is known that 45 system test data are declared to match the expert test data, the accuracy of the accuracy of diagnosis results of 90% is in good category.

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