cover
Contact Name
Usman Ependi
Contact Email
u.ependi@binadarma.ac.id
Phone
+6281271103018
Journal Mail Official
cisajournal@gmail.com
Editorial Address
Kampus Utama Universitas Bina Darma Lt. 7 Jl. A. Yani No 3 Seberang Ulu I Palembang
Location
Kota bandung,
Jawa barat
INDONESIA
Journal of Computer and Information Systems Ampera
ISSN : -     EISSN : 27752496     DOI : https://doi.org/10.51519
Core Subject : Science,
Journal of Computer and Information Systems Ampera (Journal-CISA) is an online journal that organized and managed independently by the consortium of informatics lecturers. Journal-SEA is an open-access journal that is provided for researchers, lecturers, and students who will publish research results in the field of all of thing about software engineering and its process.
Articles 56 Documents
Perencanaan Stategis Sistem Informasi Administrasi di SLBN Nunumeu SoE Menggunakan Metode Ward and Peppard Anjarwanti S. R. Suseno; Agustinus Fritz Wijaya
Journal of Computer and Information Systems Ampera Vol. 1 No. 3 (2020): Journal of Computer and Information Systems Ampera
Publisher : APTIKOM SUMSEL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalcisa.v1i3.40

Abstract

Special education school is a school established by the government with a special concept for Children with Special Needs. In carrying out activities, there is an Administration section which is an important part of the process of activities at school, but there are obstacles, namely not being well systemed so that it creates difficulties in operating. In building a good system, it is necessary to have a Strategic Information System planning in advance, therefore this research was conducted. This research was conducted using the Ward and Peppard method and using the SWOT, Value Chain, and MCFarland Strategy analysis methods, with qualitative research methods, then providing output in the form of proposed applications to be considered in future application development in order to facilitate all activities in the administrative section of SLBN Nunumeu.
Visualisasi Data Kependudukan Pada Dinas Kependudukan Dan Pencatatan Sipil Kabupaten Musi Banyuasin Rica Damayanti Putri; Alex Wijaya
Journal of Computer and Information Systems Ampera Vol. 1 No. 3 (2020): Journal of Computer and Information Systems Ampera
Publisher : APTIKOM SUMSEL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalcisa.v1i3.42

Abstract

Population data from the Department of Population and Civil Registration can be used by other agencies according to the needs of that agency. The Department of Population and Civil Registration uses SIAK (Sistem Informasi Administrasi Kependudukan /Population Administration Information System) for its service processes, the SIAK application is an application made by the Director General of Department of Population and Civil Registration of the Ministry of Home Affairs. The SIAK application still has limited features for operators in the District, for this reason the SIDAK application was created for the utilization of population data in Musi Banyuasin Regency. In this SIDAK application, there is no feature available for visualizing graphical data so that the desired data can be easily analyzed in aggregate data. For the data visualization, the authors took the data from the SIAK database conversion to the SIDAK application. The data taken is the aggregate data on the number of populations, mandatory ID card, birth, death, move, arrival, occupation, religion, education, blood group, marital status, persons with disabilities, age groups. Therefore, we need a tool that capable of visualizing population data using a website in the form of a dashboard system at the Department of Population and Civil Registration. This population data visualization system development uses the Extreme Programming method
Pemanfaatan Analisis Jaringan Sosial Dalam Penentuan Centrality Dalam Pengembangan Web Berita Online Fitra Ramadhan
Journal of Computer and Information Systems Ampera Vol. 1 No. 3 (2020): Journal of Computer and Information Systems Ampera
Publisher : APTIKOM SUMSEL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalcisa.v1i3.43

Abstract

Revolusi digital selama berapa tahun terakhir ini meningkat pesat dan membuat perkembangan pada basis data. Perkembangan data tersebut sering terjadi beredar secara global. Data yang tersebar secara global dapat dikonsumsikan sebagai informasi terutama dalam media sosial. Media sosial Twitter merupakan salah satu media sosial yang sudah banyak digunakan di indonesia, dengan Data percakapan pada Twitter tersebut dapat dimanfaatkan sebagai sarana Informasi atau berita dan dapat juga dianalisis. Dengan penelitian ini memanfaatkan Basis Data pada media sosial twitter pada tweets yang diperoleh melalui API (Application Programming Interface). Dengan basis data tersebut merupakan untuk mewakili jaringan sosial antara pengguna, dan dengan menggunakan metode Social Network Analisys (SNA) karena untuk mencari tahu siapa saja pengguna yang menunjukkan pengaruh paling besar dalam penyebaran berita atau informasi dengan menggunakan suatu kata kunci dengan kata lain kedekatan dan hubungan dalam tweet. Software basis data dan Visualisasi menggunakan Gephi. Dalam menentukan aktor yang paling berpengaruh dalam Hastag #Indonesia dihitung menggunakan Centrality yang terdiri dari degree Centrality, Betweeness Centrality, dan Closeness Centrality. Sampel yang digunakan dalam penelitian ini merupakan sebuah tweet yang didalam mention, retweet, maupun reply interaksi akun tersebut menggunakan #Indonesia. Hasil penelitian ini yaitu terdapat 1064 node (akun) dan terdapat 1261 edges merupakan aktor yang terlibat dalam interaksi. Dalam tersebut ditemukan aktor atau akun yang paling berengaruh dalam jaringan #Indonesia secara keseluruhan adalah akun bernama bob_bay.
Implementasi Business Intelligence Pada Analisis Perkembangan Hasil Pertanian Provinsi Sumatera Selatan Muhammad Danu Riyanda; Suyanto Suyanto
Journal of Computer and Information Systems Ampera Vol. 1 No. 3 (2020): Journal of Computer and Information Systems Ampera
Publisher : APTIKOM SUMSEL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalcisa.v1i3.44

Abstract

In the process of data collection of agricultural food products and horticulture consists of several data covering the time, area, area of land, crop yields, and types of plants stored in the form of files with large amounts of data. The large amount of data can cause errors in compiling information for the process of analysis and evaluation for the agriculture department. The analysis process can be faster and more precise by implementing Business intelligence. Business intelligence is a concept and method for managing and analyzing data and facts into more effective information to improve the quality of organizational evaluation and decision-making processes. One form of information that can be provided from the application of business intelligence is a visual dashboard that can help display information that makes it easier to analyze the development of agricultural products efficiently and interactively. Processing data for analysis in this study using the Pentaho application. By implementing Business Intelligence, it is expected to be able to assist the Department of Food Agriculture and Horticulture in South Sumatra Province in analyzing the development of agricultural products
Analisis Sentimen Masyarakat Terhadap Pilpres 2019 Berdasarkan Opini Dari Twitter Menggunakan Metode Naive Bayes Classifier Khoirul Zuhri; Nurul Adha Oktarini Saputri
Journal of Computer and Information Systems Ampera Vol. 1 No. 3 (2020): Journal of Computer and Information Systems Ampera
Publisher : APTIKOM SUMSEL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalcisa.v1i3.45

Abstract

Twitter is a social media that is currently popular, where the public is free to comment and write anything. It is not uncommon for the public to comment with harsh words and even hate speech. The 2019 presidential election drew many comments, some praised, criticized and insulted. To be able to dig up information and classify a text, sentiment analysis is needed. In this study, sentiment analysis is a process of classifying textual documents into two classes, namely negative and positive sentiment classes. Opinion data were obtained from the Twitter social network in the form of tweets. The data used was 3337 tweets consisting of 80% training data and 20% training data. Training data is data with known sentiment. This study aims to determine whether a tweet is a positive or negative tweet conveyed on Twitter in Indonesian. The classification of tweet data uses the naïve Bayes classifier algorithm. The classification results of the test data show that the Naïve Bayes Classifier algorithm provides an accuracy value of 71%. The accuracy value for each sentiment is 71% for positive sentiment and 70% for negative sentiment
Analisis Perencanaan Strategi Sistem Informasi Dalam Upaya Keunggulan Bersaing pada Apotek Kimia Farma Elsaddhai Elsaddhai; Augie David Manuputty
Journal of Computer and Information Systems Ampera Vol. 2 No. 1 (2021): Journal of Computer and Information Systems Ampera
Publisher : APTIKOM SUMSEL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalcisa.v2i1.54

Abstract

In the current era, a development strategy is needed that can determine the success of all aspects of the business. If the company determines a strategy, problems will arise. In determining a business development strategy, it must be adjusted to the development of the current business situation, because even though the chosen strategy is very good, the situation and conditions are not supportive, then the strategy will fail. This study aims to develop IS / IT strategic planning in competing to increase pharmacy excellence, This research was conducted using the Ward and Peppard method and using the SWOT, Value Chain. The data taken are what factors can be strengths, weaknesses, opportunities, threats, and internal and external environmental analysis at the Kimia Farma Pharmacy Salatiga.
Perencanaan Strategis Sistem Informasi Menggunakan Metode Ward and Peppard di Pengadilan Negeri Salatiga Kelas 1B Deniek Gus Wijaya; Augie David Manuputty
Journal of Computer and Information Systems Ampera Vol. 2 No. 1 (2021): Journal of Computer and Information Systems Ampera
Publisher : APTIKOM SUMSEL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalcisa.v2i1.55

Abstract

The Salatiga District Court Class 1B is a legal institution. Salatiga state courts used information systems in their business processes. The existence of an information system is a powerful weapon or tool in increasing the efficiency and effectiveness of business processes in agencies. However, the IS / IT in the Salatiga District Court has not worked optimally which causes the performance to be less effective so that it requires proper IS / IT strategic planning. This study uses the Ward and Peppard method with SWOT analysis techniques. The value chain will produce information system strategy recommendations for internal and external environmental analysis, and information system application recommendation. The purpose of this research is to provide recommendations for IS / IT-related problems through strategic planning of information systems to identify IS / IT in the Salatiga District Court and to analyze IS / IT that can be used in the future to achieve an effective and efficient performance.
Analisis Penilaian Risiko Terhadap Penggunaan Sistem Informasi Akademik Pada Universitas Muhammadiyah Palembang Menggunakan Metode Octave Allegro Kholifah Kholifah; Reza Ade Putra; Fathiyah Nopriani
Journal of Computer and Information Systems Ampera Vol. 2 No. 1 (2021): Journal of Computer and Information Systems Ampera
Publisher : APTIKOM SUMSEL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalcisa.v2i1.58

Abstract

The development of technology in meeting information needs has been implemented at the Muhammadiyah University of Palembang where there are various information systems used in managing information as a basis for creating quality services and supporting optimization in the work process. However, apart from the perceived benefits, the increasing dependence on information systems is in line with the risks that can arise, one of which is the risk of information security where information is an important asset for an organization that needs to be protected and secured. As an effort to maintain and protect information security, it is necessary to carry out risk evaluation in order to identify and anticipate risks that can interfere with information security. This study aims to conduct a risk assessment analysis of the use of Academic Information Systems as a very crucial information system in a university. This risk assessment analysis uses the Octave Allegro method with the main focus on information assets which consists of 8 steps and is organized into 4 stages starting with determining drivers, developing information asset profiles, identifying threats, and identifying and mitigating risks. The results of this study are 10 (ten) areas of concern with a mitigation approach of 7 (seven) risks that must be reduced (mittigate), 2 (two) risks that can be deferred (defer), and 1 (one) risk. that can be accepted (accept). From the risk assessment carried out, recommendations are given to prevent / minimize the identified risks as an effort to maintain and improve information security.
Analisis Manajemen Resiko Aplikasi SIPP di Pengadilan Negeri Salatiga Kelas 1B Mengunakan ISO 31000 Ryan Haryo Pangestu; Ariya Dwika Cahyono; Penidas Fiodinggo Tanaem
Journal of Computer and Information Systems Ampera Vol. 2 No. 1 (2021): Journal of Computer and Information Systems Ampera
Publisher : APTIKOM SUMSEL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalcisa.v2i1.59

Abstract

SIPP application is a case tracing information system whose function is to provide information to the general public or severe parties concerned with the case and the information contained in sipp has been adjusted to the applicable regulations. In implementing the information system there must be risks that hinder the process of the system, so here is required risk analysis aimed at preventing or minimizing the risks that will occur. By using ISO 31000 at salatiga district court office, it is expected to minimize the possibility of risks that will occur around SIPP application. The results will be from iso 31000 risk analysis in the form of a document of possible risks that occur around sipp application, grouping the possible risks and their impacts. So that the results of this research can be useful for the salatiga district court office to prevent or at least minimize the risks that may occur in the SIPP application.
Evaluasi Kinerja Si Pendataan Umat Menggunakan Framework Cobit 5 (MEA 01) Gereja ST. Paulus Miki Salatiga Shera Marsela; Agustinus Fritz Wijaya
Journal of Computer and Information Systems Ampera Vol. 2 No. 2 (2021): Journal of Computer and Information Systems Ampera
Publisher : APTIKOM SUMSEL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalcisa.v2i2.61

Abstract

Dalam sebuah perusahaan tidak hanya fokus pada penerapan teknologi informasi (TI), tetapi juga pada penerapan monitoring, evaluasi dan penilaian kerja, serta kesesuaian TI. Oleh karena itu, peneliti menggunakan domain Monitor, Evaluate, Asess (MEA). Tujuan dari penelitian ini yaitu untuk mengetahui tingkat kapabilitas atau kematangan teknologi informasi pada gereja St. Paulus miki salatiga. Metode penelitian yang digunakan adalah kualitatif. Hasil dari penelitian ini adalah untuk mengetahui tingkat kapabilitas serta memberikan rekomendasi atau masukkan kepada gereja st. Paulus miki agar lebih baik untuk ke depannya.