Jurnal Teknik Informatika dan Sistem Informasi
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Sistem Informasi Pelayanan Jemaat Gereja Berbasis Website Menggunakan Analisis PIECES
Get PDFThe church is a spiritual institution for Christians. In the church there are various kinds of service activities, such as catechism services, baptism services, wedding blessing services, and social service services. In general, the Church in processing congregational service data, catechism data, baptismal data, marriage data is still recorded in the books, so that data can be lost or damaged, and it is less effective in searching data, because it takes a long time. In providing information such as worship agendas, church activities, and other routine church activities, it is still manual, namely through congregation bulletins. The purpose of this research is to build a website-based church service system model to support the implementation of various church services more effectively and efficiently. This study uses the PIECES analysis method to check and analyze the advantages and disadvantages that exist in the system. This system is designed using UML, to make it easier to design a website-based system. This church service information system provides features of church service activities and more complete information about the church that can be accessed more practically anytime and anywhere.The church is a spiritual institution for Christians. In the church there are various kinds of service activities, such as catechism services, baptism services, wedding blessing services, and social service services. In general, the Church in processing congregational service data, catechism data, baptismal data, marriage data is still recorded in the books, so that data can be lost or damaged, and it is less effective in searching data, because it takes a long time. In providing information such as worship agendas, church activities, and other routine church activities, it is still manual, namely through congregation bulletins. The purpose of this research is to build a website-based church service system model to support the implementation of various church services more effectively and efficiently. This study uses the PIECES analysis method to check and analyze the advantages and disadvantages that exist in the system. This system is designed using UML, to make it easier to design a website-based system. This church service information system provides features of church service activities and more complete information about the church that can be accessed more practically anytime and anywhere
Perancangan Sistem Registrasi berdasarkan Estimasi Waktu Penanganan Pasien untuk Mencegah Kerumunan Antrian
Get PDFAlong with the increase in population and the development of information technology, it is necessary to have a system that is able to support the process of improving health care. One of the weaknesses of the current health care system is the patient waiting time which is still below the established standard, which is less than 60 minutes. This study designed a patient registration system that can estimate the patient's arrival time based on the input symptoms. The use of QR Code technology and meeting applications helps to support patient registration and consultation. The research methodology uses the waterfall method by involving doctors and patients as data sources. Test results using black boxes indicate that the system is able to categorize patient care as expected. The system has also been able to function well functionally. It takes a process of updating symptoms periodically by doctors so that the system is able to recognize new symptoms that have not been recorded previously. With the estimated arrival time, the queue or crowd of patients in the waiting room can be minimized properly.Seiring dengan pertambahan jumlah penduduk dan perkembangan teknologi informasi, maka diperlukan suatu sistem yang mampu mendukung proses peningkatan pelayanan kesehatan. Salah satu kelemahan sistem pelayanan kesehatan saat iniadalah waktu tunggu pasien yang masih dibawah standar yang ditetapkan yaitu kurang dari 60 menit. Penelitian ini merancangsistem pendaftaran pasien yang dapat memperkirakan waktu kedatangan pasien berdasarkan input gejala. Penggunaan teknologiQR (Quick Response) Code dan aplikasi pertemuan membantu mendukung pendaftaran dan konsultasi pasien. Metodologi penelitian menggunakan metode waterfall dengan melibatkan dokter dan pasien sebagai sumber data. Hasil pengujian menggunakan black box menunjukkan bahwa sistem mampu mengkategorikan pelayanan pasien sesuai dengan yang diharapkan. Sistem juga telah dapat berfungsi dengan baik secara fungsional. Dibutuhkan proses update gejala secara berkala oleh dokteragar sistem mampu mengenali gejala baru yang belum terdata sebelumnya. Dengan perkiraan waktu kedatangan, antrian atau keramaian pasien di ruang tunggu dapat diminimalisir dengan baik
Pengembangan Admisi Universitas Berbasis Sistem Pengelola Pengetahuan
Get PDF The study will develop a prototype to implement a knowledge management system using the information retrieval method. As a study case, the knowledge about university admission will be used. The users of the system consist of guests, admin, and admission staff. The guest can search for information in the dashboard and give suggestions. The admission staff can add new knowledge or modify the existing knowledge. The new knowledge should be verified and approved by the admin. The testing was performed to verify that the system works as it should be, especially for information searching. The results show that searchingusing lowercase and without stopword, or punctuation gives better similarity index. Searching using unigram also has better similarity index.Dalam penelitian ini dikembangkan suatu purwarupa sistem pengelola pengetahuan dengan memanfaatkan information retrieval dalam pencarian. Sebagai studi kasus, digunakan pengetahuan dari admisi universitas. Pengguna sistem adalah pengunjung, admin, dan staf admisi. Pengunjung dapat mencari informasi pada dashboard dan memberikan saran. Staf admisi dapat menambah pengetahuan baru atau mengubah pengetahuan yang sudah ada. Pengetahuan baru yang akan ditambahkan harus diverifikasi dan disetujui oleh admin. Pengujian dilakukan untuk memastikan sistem bekerja dengan baik, khususnya dalampencarian informasi. Hasil pengujian menunjukkan pencarian tanpa stopword, tanpa tanda baca, dan memakai lowercase memberikan similarity index yang lebih baik. Pencarian dengan unigram juga memberikan hasil similarity index yang lebih baik dibandingkan pencarian dengan bigram
Sistem Pengukuran Kualitas Website Penelitian dan Pengabdian Masyarakat I-Gracias Menggunakan Metode Webqual
Get PDFAs a learning center based on Information and Communication of Technology (ICT), the Telkom Purwokerto Institute of Technology has an I-Gracias website, one of which has a PPM menu, the menu functions to enter research data, scientific publications and lecturers' internal community service so that they can be managed by the public. LPPM. Based on the survey that has been carried out, it is known that there are several problems with the I-Gracias PPM system, such as an unattractive and quite confusing system display, menus that do not work properly, processes that are still not efficient, functions that are needed and do not exist in the system, and the lack of socialization of the use of the system to lecturers with the main problem that there is no prioritization of the quality of system performance which includes aspects of usability, quality of information and quality of interaction. The results of the questionnaire show that 95% of respondents agree with the quality measurement of the I-Gracias PPM system. Website-based PPM systems need to be measured using a web testing method, namely the Website Quality method or what is called WebQual as a determinant of criteria for measuring system quality in this study. This study resulted in the value of measuring the quality of the system in accordance with the user's perception so that the organizers can find out and correct the deficiencies that exist in the system. Quality measurement is carried out using a website-based information system.As a learning center based on Information and Communication of Technology (ICT), the Telkom Purwokerto Institute of Technology has an I-Gracias website, one of which has a PPM menu, the menu functions to enter research data, scientific publications and lecturers' internal community service so that they can be managed by the public. LPPM. Based on the survey that has been carried out, it is known that there are several problems with the I-Gracias PPM system, such as an unattractive and quite confusing system display, menus that do not work properly, processes that are still not efficient, functions that are needed and do not exist in the system, and the lack of socialization of the use of the system to lecturers with the main problem that there is no prioritization of the quality of system performance which includes aspects of usability, quality of information and quality of interaction. The results of the questionnaire show that 95% of respondents agree with the quality measurement of the I-Gracias PPM system. Website-based PPM systems need to be measured using a web testing method, namely the Website Quality method or what is called WebQual as a determinant of criteria for measuring system quality in this study. This study resulted in the value of measuring the quality of the system in accordance with the user's perception so that the organizers can find out and correct the deficiencies that exist in the system. Quality measurement is carried out using a website-based information system
Penerapan metode Analytical Hierarchy Process dan Simple Additive Weighting untuk Pemilihan Supplier pada Bengkel
Get PDFThe selection of suppliers at the workshop aims to make it easier for workshop owners to determine suppliers in purchasing spare parts. This research case study takes place at the Prima Motor Sport Workshop, where in the process, there is no annual supplier selection process. The obstacle encountered is the absence of an appropriate method for selecting the selected supplier, making it difficult to determine the supplier in purchasing goods. Therefore, there is a need for research to determine the right method in selecting suppliers at the workshop. The methods used are Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW). The AHP method is used because it is one of the popular methods for finding the weighting value for each set criterion, namely delivery time, quality of goods, warranty, and price. The SAW method can display alternative sequence priorities in the form of the highest to the lowest ranking, is easy to implement, and uses the concept of weighting. This research produces the right method in data processing to make it easier for workshop owners to choose more objective suppliers every year.p, where in the process, there is no annual supplier selection process. The obstacle encountered is the absence of an appropriate method for selecting the selected supplier, making it difficult to determine the supplier in purchasing goods. Therefore, there is a need for research to determine the right method in selecting suppliers at the workshop. The methods used are Analytical Hierarchy Process (AHP) and Simple Additive Weighting (SAW). The AHP method is used because it is one of the popular methods for finding the weighting value for each set criterion, namely delivery time, quality of goods, warranty, and price. The SAW method can display alternative sequence priorities in the form of the highest to the lowest ranking, is easy to implement, and uses the concept of weighting. This research produces the right method in data processing to make it easier for workshop owners to choose more objective suppliers every year
Perbandingan Relational Database dan Non-Relational Database dalam Pengembangan Smart Tourism
Get PDFThe smart tourism application that is built cannot be separated from the role of the database. The more data stored in a database system, it will affect the speed of access of the information system that uses it. This study will test the performance of query response time between two types of databases with 92 data records of tourist attractions, 106 restaurants and 59 lodging data. Tests were carried out on Data Manipulation Language (DML), aggregate function testing, and logical operator testing. The result of this study is that Non-relational databases are proven to be superior in the DML testing process (insert, select, update, and delete) than Relational Databases. For the process of testing logical operators (AND, OR, and NOT) Non-relational databases are proven to be superior to Relational Databases. In the MIN aggregate function test the results are the same, while the MAX Relational Database aggregate function test is superior to the Non-relational database.The smart tourism application that is built cannot be separated from the role of the database. The more data stored in a database system, it will affect the speed of access of the information system that uses it. This study will test the performance of query response time between two types of databases with 92 data records of tourist attractions, 106 restaurants and 59 lodging data. Tests were carried out on Data Manipulation Language (DML), aggregate function testing, and logical operator testing. The result of this study is that Non-relational databases are proven to be superior in the DML testing process (insert, select, update, and delete) than Relational Databases. For the process of testing logical operators (AND, OR, and NOT) Non-relational databases are proven to be superior to Relational Databases. In the MIN aggregate function test the results are the same, while the MAX Relational Database aggregate function test is superior to the Non-relational database
Analisis Persepsi Risiko Pekerja di Indonesia Terhadap COVID-19
Get PDFSince August 2020, the COVID-19 pandemic has affected more than 29 million workers in Indonesia. Therefore, worker protection and job creation must be an important priority to emerge more resilient and productive after the COVID-19 crisis. Threat assessment and risk perception are core features of protective-motivation theory and understanding workers' perceptions of COVID-19 risk is expected to help navigate and manage the impact of this pandemic on workers. This study assesses workers' risk perceptions of COVID-19 using a national sample of size N=1,900 of workers in Indonesia. The level of employee risk perception of COVID-19 is relatively high in all workplaces and the workplace also influences the level of risk perception. From all respondents, it is known that the respondent's knowledge about COVID-19, the respondent's behavior towards COVID-19 and the social environmental conditions at the respondent's workplace are all significant predictors of the perceived risk of COVID-19. Age group and type of workplace were found to be significant determinants of perceived risk, compared to the sex and employment status of the examined workers. In all workplaces, respondents stated that the risk of spreading COVID-19 was at a moderate level and the work area was considered an area that had a higher risk of spreading COVID-19 compared to smoking areas and the canteen or pantry.Sejak Agustus 2020, pandemi COVID-19 telah berdampak pada lebih dari 29 juta pekerja di Indonesia. Maka dari itu, perlindungan pekerja dan penciptaan lapangan kerja harus menjadi prioritas penting untuk bangkit lebih tangguh dan produktif pasca krisis COVID-19. Penilaian ancaman dan persepsi risiko adalah fitur inti dari teori motivasi-perlindungan dan dengan memahami persepsi pekerja terhadap risiko COVID-19 diharapkan dapat membantu menavigasi dan mengelola dampak dari pandemi ini terhadap pekerja. Studi ini menilai persepsi risiko pekerja terhadap COVID-19 menggunakan sampel nasional sebesar N=1.900 pekerja di Indonesia. Tingkat persepsi risiko pekerja terhadap COVID-19 relatif tinggi di seluruh tempat kerja dan tempat kerja turut mempengaruhi tingkat persepsi risiko tersebut. Dari seluruh responden, diketahui bahwa pengetahuan responden tentang COVID-19, perilaku responden terhadap COVID-19 dan kondisi lingkungan sosial pada tempat kerja responden, semuanya merupakan kelompok prediktor signifikan dari persepsi risiko terhadap COVID-19. Grup usia dan jenis tempat kerja ditemukan menjadi penentu yang signifikan terhadap persepsi risiko, dibandingkan dengan jenis kelamin dan status kepegawaian pekerja yang diperiksa. Pada semua lingkungan tempat kerja, responden menyatakan risiko penularan COVID-19 berada pada tingkat yang sedang dan area kerja pekerja dinilai sebagai area yang memiliki risiko penularan COVID-19 yang lebih tinggi dibandingkan dengan area merokok dan kantin atau pantry
Klastering Sayuran Unggulan Menggunakan Algoritma K-Means
Get PDFHorticulture, especially vegetables, has great potential to be developed because it becomes a source of income for the community and small farmers in each region because Indonesia is called an agrarian country with most of them working in agriculture. Mandailing Natal Regency is the district with the largest area in North Sumatra province, but Mandailing Natal has not been able to outperform vegetable crop production in North Sumatra. Data mining methods can find interesting and invisible patterns in data sets. One of the methods is the K-Means clustering algorithm which groups data into clusters based on the similarity of data characteristics. In this study, vegetable data was clustered which aims to determine the potential commodities in each area in Mandailing Natal Regency, plants that have potential in the area will be maintained and their production increased, while vegetable crops whose production is still low will be a priority to increase their production. The research method used in this study was to collect vegetable data from the Badan Pusat Statistik in the form of data on harvested area, production, plant area, and new planting area. In addition, data collection was carried out by conducting theoretical studies in journals. The results of clustering superior vegetables using the K-Means Algorithm are in the form of potential grouping into 3 clusters, namely low, medium, and high clusters and the output is a web-based system in its application. The results of the clustering analysis were obtained with each total data of 69 data, namely big chili with C1 81%, C2 16% and C3 3%. Cayenne C1 29%, C2 48% and C3 23%. Long Beans C1 26%, C2 38% and C3 36%. Kale C1 39%, C2 36% and C3 25%. Eggplant C1 43%, C2 29% and C3 28%. Tomato C1 41%, C2 58% and C3 1%.
Hortikultura khususnya sayuran memiliki potensi besar untuk dikembangkan karena menjadi sumber pendapatan bagi masyarakat dan petani kecil di setiap daerah disebabkan negara Indonesia disebut sebagai negara agraris dengan sebagian besar bekerja dibidang pertanian. Kabupaten Mandailing Natal merupakan kabupaten dengan wilayah terluas di provinsi Sumatera Utara tapi Mandailing Natal belum dapat mengungguli produksi panen tanaman sayuran di Sumatera Utara. Metode penambangan data dapat menemukan pola yang menarik dan tidak terlihat dalam kumpulan data salah satu metodenya adalah algoritma K-Means klastering yang mengelompokkan data ke dalam cluster berdasarkan kesamaan karakteristik data. Pada penelitian ini dilakukan klastering pada data sayuran yang bertujuan untuk mengetahui komoditi yang berpotensi pada setiap daerah di Kabupaten Mandailing Natal, tanaman yang berpotensi di daerah akan tetap dijaga dan ditingkatkan produksinya sedangkan tanaman sayuran yang produksinya masih rendah akan menjadi prioritas untuk meningkatkan hasil produksinya. Metode penelitian yang digunakan pada penelitian ini dengan melakukan pengumpulan data sayuran dari Badan Pusat Statistik berupa data luas panen, produksi, luas tanaman, dan luas penanaman baru. Selain itu, pengumpulan data juga dilakukan dengan melakukan kajian teori pada jurnal. Hasil klastering sayuran unggulan menggunakan algoritma K-Means berupa pengelompokan potensi ke dalam 3 klaster yaitu klaster rendah, sedang, dan tinggi dan didapatkan output berupa sistem berbasis web dalam pengaplikasiannya. Adapun hasil analisa klastering yang didapatkan dengan masing-masing total data 69 data yaitu cabai besar dengan hasil C1 81%, C2 16% dan C3 3%. Cabai Rawit C1 29%, C2 48% dan C3 23%. Kacang Panjang C1 26%, C2 38% dan C3 36%. Kangkung C1 39%, C2 36% dan C3 25%. Terung C1 43%, C2 29% dan C3 28%. Tomat C1 41%, C2 58% dan C3 1%.
Analisis Klasifikasi Sentimen Terhadap Isu Kebocoran Data Kartu Identitas Ponsel di Twitter
Get PDFTechnology developments bring great threats related to privacy and security of personal data. In September 2022, a data leak incident of 1.3 billion SIM card registration data containing user's personal data was uploaded on dark web. Indonesian people voice their opinion regarding this issue on Twitter. This study aims to find out the word distribution and sentiment classification analysis of public opinion on Twitter related to the issue. Sentiment classification analysis was carried out using a machine learning approach with four methods, namely Random Forest, Logistic Regression, Support-Vector Machine, and IndoBERT model. The four methods will be compared to see which model produces the best performance. From the crawling process, 957 tweets were obtained, of which 609 were labeled and trained using the four methods. From the data obtained, there is an imbalance between classes, where positive sentiment has a much smaller number than the rest. Some words that are often used in the tweet are SIM card, data SIM, bocor data, miliar data, and kominfo. The results of the model show that the Support-Vector Machine has the best performance with an f1-score of 0.81, followed by Random Forest of 0.78, IndoBERT of 0.76, and Logistic Regression of 0.74. Class imbalance and lack of training data make IndoBERT's performance lower when compared to other algorithms. The results of this study can be used by the authorities to evaluate policies in dealing with data security issues by listening to opinions from the Indonesian people.Perkembangan teknologi dan internet membawa ancaman besar terkait dengan privasi dan keamanan data pribadi. Pada bulan September 2022, terdapat insiden bocornya 1,3 miliar data pendaftaran kartu identitas ponsel atau kartu SIM yang berisi data pribadi pengguna di situs gelap. Twitter sebagai salah satu media sosial terpopuler di Indonesia menjadi tempat masyarakat Indonesia menyuarakan opininya terkait isu kebocoran data tersebut. Penelitian ini bertujuan untuk mencari tahu sebaran kata dan analisis klasifikasi sentimen dari opini masyarakat di Twitter terkait dengan isu tersebut. Analisis klasifikasi sentimen dilakukan menggunakan pendekatan machine learning dengan empat metode, yaitu Random Forest, Logistic Regresssion, Support-Vector Machine, dan model IndoBERT. Keempat metode tersebut akan dibandingkan untuk melihat model mana yang menghasilkan performa terbaik dalam mendeteksi sentimen. Dari proses crawling, didapatkan 957 tweet, di mana 609 tweet diberi label dan akan dilatih menggunakan empat metode tersebut. Dari data yang didapatkan, terdapat ketidakseimbangan antar kelas, di mana sentimen positif memiliki jumlah yang jauh lebih sedikti dibandingkan sentimen negatif dan netral. Beberapa kata yang sering digunakan dalam data tweet yang diambil adalah sim card, data sim, bocor data, miliar data, dan kominfo. Hasil pembangunan model menunjukkan algoritma Support-Vector Machine memiliki performa terbaik dengan nilai f1-score 0.81, dilanjutkan dengan Random Forest sebesar 0.78, IndoBERT sebesar 0.76, dan Logistic Regression sebesar 0.74. Ketidakseimbangan kelas dan kurangnya data latih membuat performa IndoBERT sebagai salah satu state-of-the-art dalam NLP memiliki performa yang rendah dibandingkan algoritma lainnya. Hasil dari penelitian ini dapat digunakan pihak berwenang untuk mengevaluasi kebijakan dalam menangani isu keamanan data dengan mendengarkan opini dari masyarakat Indonesia
Analisis Manajemen Risiko Aplikasi E-Rapor Menggunakan COBIT 4.1 Domain P09
No full textThe E-Report application is a system to make it easier for teachers, staff, students, parents, and the Ministry of Education and Culture to find out the results of student learning analysis of SMA N 1 Laguboti applying the E-Report application as a means of communication between schools, students and parents. The problem with E-Report in SMA N 1 Laguboti is that there is an error when using the application to input data. The purpose of this study was to analyze risk management in the E-Report application at SMA N 1 Laguboti. This research method uses quantitative methods. The measuring instrument method for analyzing the sample questionnaire questions uses the Control Objective for Information and Related Technology (COBIT 4.1) domain Plan and Organize (PO9). COBIT 4.1. The method of data collection in this research is the distribution of questionnaires to obtain data that will be SPSS. COBIT 4.1 analysis is a framework for analyzing and ensuring the alignment of information technology with business management by calculating the maturity level. The results of this study are the value of the maturity level of risk management for the E-Report application at SMA N 1 Laguboti of 2,51087267 is Defined Process. The recommendation from this research is that there is a need for a special person to control the E-Report application at SMA N 1 Laguboti and provide training on the use of the E-Report application.Aplikasi E-Rapor (Rapor Elektronik) merupakan suatu sistem untuk memudahkan guru, staf, siswa, orang tua, dan Kementerian Pendidikan dan Kebudayaan untuk mengetahui hasil analisis belajar siswa SMAN 1 Laguboti yang menerapkan aplikasi E-Rapor sebagai sarana komunikasi antara sekolah, siswa dan orang tua. Permasalahan pada E-Report di SMAN 1 Laguboti adalah terdapat kesalahan pada saat menggunakan aplikasi untuk menginput data. Tujuan dari penelitian ini adalah untuk menganalisis manajemen risiko pada aplikasi E-Rapor di SMA N 1 Laguboti. Metode penelitian ini menggunakan metode kuantitatif. Metode alat ukur untuk menganalisis sampel pertanyaan kuesioner menggunakan Control Objective for Information and Related Technology (COBIT 4.1) domain Plan and Organize (PO9). COBIT 4.1. Metode pengumpulan data dalam penelitian ini adalah penyebaran kuesioner untuk mendapatkan data yang akan di SPSS. Analisis COBIT 4.1 merupakan kerangka kerja untuk menganalisis dan memastikan keselarasan teknologi informasi dengan manajemen bisnis dengan menghitung tingkat kematangan. Hasil dari penelitian ini adalah nilai maturitas tingkat manajemen risiko untuk aplikasi E-Rapor di SMAN 1 Laguboti sebesar 2.51087267 adalah Defined Process. Rekomendasi dari penelitian ini adalah perlu adanya orang khusus untuk mengontrol aplikasi E-Rapor di SMA N 1 Laguboti dan memberikan pelatihan penggunaan aplikasi E-Rapor